diff --git a/.env.example b/.env.example index ccab7c28e..45a724601 100644 --- a/.env.example +++ b/.env.example @@ -71,3 +71,15 @@ LANGFLOW_SUPERUSER= # Superuser password # Example: LANGFLOW_SUPERUSER_PASSWORD=123456 LANGFLOW_SUPERUSER_PASSWORD= + +# STORE_URL +# Example: LANGFLOW_STORE_URL=https://api.langflow.store +LANGFLOW_STORE_URL= + +# DOWNLOAD_WEBHOOK_URL +# +LANGFLOW_DOWNLOAD_WEBHOOK_URL= + +# LIKE_WEBHOOK_URL +# +LANGFLOW_LIKE_WEBHOOK_URL= \ No newline at end of file diff --git a/.vscode/launch.json b/.vscode/launch.json index bb61b0b9e..a8229b155 100644 --- a/.vscode/launch.json +++ b/.vscode/launch.json @@ -16,7 +16,8 @@ "debug" ], "jinja": true, - "justMyCode": true + "justMyCode": true, + "envFile": "${workspaceFolder}/.env" }, { "name": "Python: Remote Attach", diff --git a/Makefile b/Makefile index d5d699fed..41319e0e3 100644 --- a/Makefile +++ b/Makefile @@ -30,13 +30,12 @@ else endif format: - poetry run black . poetry run ruff . --fix + poetry run ruff format . cd src/frontend && npm run format lint: poetry run mypy src/backend/langflow - poetry run black . --check poetry run ruff . --fix install_frontend: @@ -46,6 +45,7 @@ install_frontendc: cd src/frontend && rm -rf node_modules package-lock.json && npm install run_frontend: + @-kill -9 `lsof -t -i:3000` cd src/frontend && npm start run_cli: @@ -73,12 +73,13 @@ install_backend: backend: make install_backend + @-kill -9 `lsof -t -i:7860` ifeq ($(login),1) @echo "Running backend without autologin"; - poetry run langflow run --backend-only --port 7860 --host 0.0.0.0 --no-open-browser --log-level debug --workers 3 + poetry run langflow run --backend-only --port 7860 --host 0.0.0.0 --no-open-browser --env-file .env else @echo "Running backend with autologin"; - LANGFLOW_AUTO_LOGIN=True poetry run langflow run --backend-only --port 7860 --host 0.0.0.0 --no-open-browser --log-level debug --workers 3 + LANGFLOW_AUTO_LOGIN=True poetry run langflow run --backend-only --port 7860 --host 0.0.0.0 --no-open-browser --env-file .env endif build_and_run: diff --git a/base.Dockerfile b/base.Dockerfile index ff3b95ee5..2293c35dd 100644 --- a/base.Dockerfile +++ b/base.Dockerfile @@ -23,7 +23,7 @@ ENV PYTHONUNBUFFERED=1 \ \ # poetry # https://python-poetry.org/docs/configuration/#using-environment-variables - POETRY_VERSION=1.7 \ + POETRY_VERSION=1.7.1 \ # make poetry install to this location POETRY_HOME="/opt/poetry" \ # make poetry create the virtual environment in the project's root diff --git a/deploy/docker-compose.with_tests.yml b/deploy/docker-compose.with_tests.yml index c16c14197..82da7eb49 100644 --- a/deploy/docker-compose.with_tests.yml +++ b/deploy/docker-compose.with_tests.yml @@ -146,7 +146,7 @@ services: build: context: ../ dockerfile: base.Dockerfile - command: celery -A langflow.worker.celery_app worker --loglevel=INFO --concurrency=1 -n lf-worker@%h + command: celery -A langflow.worker.celery_app worker --loglevel=DEBUG --concurrency=1 -n lf-worker@%h healthcheck: test: "exit 0" deploy: diff --git a/deploy/docker-compose.yml b/deploy/docker-compose.yml index 4eda0dc37..201f9bc97 100644 --- a/deploy/docker-compose.yml +++ b/deploy/docker-compose.yml @@ -134,8 +134,8 @@ services: image: redis:6.2.5 env_file: - .env - # ports: - # - 6379:6379 + ports: + - 6379:6379 healthcheck: test: "exit 0" @@ -146,7 +146,7 @@ services: build: context: ../ dockerfile: base.Dockerfile - command: celery -A langflow.worker.celery_app worker --loglevel=INFO --concurrency=1 -n lf-worker@%h + command: celery -A langflow.worker.celery_app worker --loglevel=INFO --concurrency=1 -n lf-worker@%h -P eventlet healthcheck: test: "exit 0" deploy: diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 000000000..8c3f329a0 --- /dev/null +++ b/package-lock.json @@ -0,0 +1,932 @@ +{ + "name": "langflow", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "dependencies": { + "@radix-ui/react-popover": "^1.0.7", + "cmdk": "^0.2.0" + } + }, + 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This is the Python client for the Zep service." optional = false python-versions = ">=3.8.1,<4" files = [ - {file = "zep_python-1.4.1-py3-none-any.whl", hash = "sha256:51237bcdda7824b85afe9990692cbf7ca166c8221fddd9711b211d12752db306"}, - {file = "zep_python-1.4.1.tar.gz", hash = "sha256:0e65d8f346e80e7f3c76d4d979d15c9946f4e89c12bb68cc5c5cfa3bbb6e7ef1"}, + {file = "zep_python-1.4.2-py3-none-any.whl", hash = "sha256:f65bac047fdbf9c10bdab347e2b3bab86c0e5ea480438f63c253205c345993f4"}, + {file = "zep_python-1.4.2.tar.gz", hash = "sha256:ef60083c626d97ac3435814e76194a334f76f7d3ffccb36d56ae93595aa501fa"}, ] [package.dependencies] @@ -8927,4 +9181,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.11" -content-hash = "27f6f86ca62ee5cfdae333daae4f043a745ed2fff0d958a201b514fac36068d4" +content-hash = "e67ae4eb911e893ad20b2bace32a5a62e34290e98ad00e551194a6d70bbbec0b" diff --git a/pyproject.toml b/pyproject.toml index 3481d3ef9..783e245c4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -35,12 +35,12 @@ google-search-results = "^2.4.1" google-api-python-client = "^2.79.0" typer = "^0.9.0" gunicorn = "^21.2.0" -langchain = "~0.0.327" -openai = "^0.27.8" +langchain = "~0.0.345" +openai = "^1.3.6" pandas = "2.0.3" chromadb = "^0.4.0" -huggingface-hub = { version = "^0.16.0", extras = ["inference"] } -rich = "^13.6.0" +huggingface-hub = { version = "^0.19.0", extras = ["inference"] } +rich = "^13.7.0" llama-cpp-python = { version = "~0.2.0", optional = true } networkx = "^3.1" unstructured = "^0.10.0" @@ -56,40 +56,39 @@ wikipedia = "^1.4.0" qdrant-client = "^1.4.0" websockets = "^10.3" weaviate-client = "^3.23.0" -jina = "3.15.2" +jina = "*" sentence-transformers = { version = "^2.2.2", optional = true } ctransformers = { version = "^0.2.10", optional = true } -cohere = "^4.32.0" +cohere = "^4.37.0" python-multipart = "^0.0.6" -# install sqlmodel using https://github.com/honglei/sqlmodel.git -sqlmodel = { git = "https://github.com/honglei/sqlmodel.git", branch = "main" } +sqlmodel = "^0.0.14" faiss-cpu = "^1.7.4" -anthropic = "^0.5.0" +anthropic = "^0.7.0" orjson = "3.9.3" multiprocess = "^0.70.14" cachetools = "^5.3.1" types-cachetools = "^5.3.0.5" -platformdirs = "^3.11.0" +platformdirs = "^4.1.0" pinecone-client = "^2.2.2" pymongo = "^4.5.0" supabase = "^2.0.3" -certifi = "^2023.5.7" +certifi = "^2023.11.17" google-cloud-aiplatform = "^1.36.0" psycopg = "^3.1.9" psycopg-binary = "^3.1.9" fastavro = "^1.8.0" langchain-experimental = "*" -celery = { extras = ["redis"], version = "^5.3.1", optional = true } +celery = { extras = ["redis"], version = "^5.3.6", optional = true } redis = { version = "^4.6.0", optional = true } flower = { version = "^2.0.0", optional = true } alembic = "^1.12.0" passlib = "^1.7.4" -bcrypt = "^4.0.1" +bcrypt = "4.0.1" python-jose = "^3.3.0" metaphor-python = "^0.1.11" -pydantic = "^2.4.0" +pydantic = "^2.0.0" pydantic-settings = "^2.0.3" -zep-python = { version = "^1.3.0", allow-prereleases = true } +zep-python = "*" pywin32 = { version = "^306", markers = "sys_platform == 'win32'" } loguru = "^0.7.1" langfuse = "^1.1.11" @@ -102,12 +101,13 @@ boto3 = "^1.28.63" numexpr = "^2.8.6" qianfan = "0.0.5" pgvector = "^0.2.3" +pyautogen = "^0.2.0" [tool.poetry.group.dev.dependencies] +pytest-asyncio = "^0.21.1" types-redis = "^4.6.0.5" -black = "^23.10.0" -ipykernel = "^6.21.2" -mypy = "^1.6.1" +ipykernel = "^6.26.0" +mypy = "^1.1.1" ruff = "^0.1.5" httpx = "*" pytest = "^7.4.2" @@ -144,6 +144,7 @@ markers = ["async_test"] [tool.ruff] +exclude = ["src/backend/langflow/alembic/*"] line-length = 120 [build-system] diff --git a/src/backend/langflow/__main__.py b/src/backend/langflow/__main__.py index 1bdcf97f2..885b10621 100644 --- a/src/backend/langflow/__main__.py +++ b/src/backend/langflow/__main__.py @@ -11,8 +11,9 @@ import typer from dotenv import load_dotenv from langflow.main import setup_app from langflow.services.database.utils import session_getter -from langflow.services.getters import get_db_service, get_settings_service -from langflow.services.utils import initialize_services, initialize_settings_service +from langflow.services.deps import get_db_service, get_settings_service +from langflow.services.utils import (initialize_services, + initialize_settings_service) from langflow.utils.logger import configure, logger from multiprocess import Process, cpu_count # type: ignore from rich import box @@ -72,6 +73,7 @@ def update_settings( dev: bool = False, remove_api_keys: bool = False, components_path: Optional[Path] = None, + store: bool = False, ): """Update the settings from a config file.""" @@ -90,16 +92,36 @@ def update_settings( if components_path: logger.debug(f"Adding component path {components_path}") settings_service.settings.update_settings(COMPONENTS_PATH=components_path) + if not store: + logger.debug("Setting store to False") + settings_service.settings.update_settings(STORE=False) + + + +def version_callback(value: bool): + """ + Show the version and exit. + """ + from langflow import __version__ + if value: + typer.echo(f"Langflow Version: {__version__}") + raise typer.Exit() + +@app.callback() +def main_entry_point( + version: bool = typer.Option(None, "--version", callback=version_callback, is_eager=True, help="Show the version and exit.") +): + """ + Main entry point for the Langflow CLI. + """ + pass + @app.command() def run( - host: str = typer.Option( - "127.0.0.1", help="Host to bind the server to.", envvar="LANGFLOW_HOST" - ), - workers: int = typer.Option( - 1, help="Number of worker processes.", envvar="LANGFLOW_WORKERS" - ), + host: str = typer.Option("127.0.0.1", help="Host to bind the server to.", envvar="LANGFLOW_HOST"), + workers: int = typer.Option(1, help="Number of worker processes.", envvar="LANGFLOW_WORKERS"), timeout: int = typer.Option(300, help="Worker timeout in seconds."), port: int = typer.Option(7860, help="Port to listen on.", envvar="LANGFLOW_PORT"), components_path: Optional[Path] = typer.Option( @@ -107,32 +129,17 @@ def run( help="Path to the directory containing custom components.", envvar="LANGFLOW_COMPONENTS_PATH", ), - config: str = typer.Option( - Path(__file__).parent / "config.yaml", help="Path to the configuration file." - ), + config: str = typer.Option(Path(__file__).parent / "config.yaml", help="Path to the configuration file."), # .env file param - env_file: Path = typer.Option( - None, help="Path to the .env file containing environment variables." - ), - log_level: str = typer.Option( - "critical", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL" - ), - log_file: Path = typer.Option( - "logs/langflow.log", help="Path to the log file.", envvar="LANGFLOW_LOG_FILE" - ), + env_file: Path = typer.Option(None, help="Path to the .env file containing environment variables."), + log_level: str = typer.Option("critical", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL"), + log_file: Path = typer.Option("logs/langflow.log", help="Path to the log file.", envvar="LANGFLOW_LOG_FILE"), cache: Optional[str] = typer.Option( envvar="LANGFLOW_LANGCHAIN_CACHE", help="Type of cache to use. (InMemoryCache, SQLiteCache)", default=None, ), dev: bool = typer.Option(False, help="Run in development mode (may contain bugs)"), - # This variable does not work but is set by the .env file - # and works with Pydantic - # database_url: str = typer.Option( - # None, - # help="Database URL to connect to. If not provided, a local SQLite database will be used.", - # envvar="LANGFLOW_DATABASE_URL", - # ), path: str = typer.Option( None, help="Path to the frontend directory containing build files. This is for development purposes only.", @@ -153,6 +160,11 @@ def run( help="Run only the backend server without the frontend.", envvar="LANGFLOW_BACKEND_ONLY", ), + store: bool = typer.Option( + True, + help="Enables the store features.", + envvar="LANGFLOW_STORE", + ), ): """ Run the Langflow. @@ -171,6 +183,7 @@ def run( remove_api_keys=remove_api_keys, cache=cache, components_path=components_path, + store=store, ) # create path object if path is provided static_files_dir: Optional[Path] = Path(path) if path else None @@ -200,9 +213,7 @@ def run( def run_on_mac_or_linux(host, port, log_level, options, app, open_browser=True): - webapp_process = Process( - target=run_langflow, args=(host, port, log_level, options, app) - ) + webapp_process = Process(target=run_langflow, args=(host, port, log_level, options, app)) webapp_process.start() status_code = 0 while status_code != 200: @@ -278,9 +289,7 @@ def print_banner(host, port): ) # Create a panel with the title and the info text, and a border around it - panel = Panel( - f"{title}\n{info_text}", box=box.ROUNDED, border_style="blue", expand=False - ) + panel = Panel(f"{title}\n{info_text}", box=box.ROUNDED, border_style="blue", expand=False) # Print the banner with a separator line before and after rprint(panel) @@ -312,12 +321,8 @@ def run_langflow(host, port, log_level, options, app): @app.command() def superuser( username: str = typer.Option(..., prompt=True, help="Username for the superuser."), - password: str = typer.Option( - ..., prompt=True, hide_input=True, help="Password for the superuser." - ), - log_level: str = typer.Option( - "critical", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL" - ), + password: str = typer.Option(..., prompt=True, hide_input=True, help="Password for the superuser."), + log_level: str = typer.Option("critical", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL"), ): """ Create a superuser. @@ -330,7 +335,7 @@ def superuser( if create_super_user(db=session, username=username, password=password): # Verify that the superuser was created - from langflow.services.database.models.user.user import User + from langflow.services.database.models.user.model import User user: User = session.query(User).filter(User.username == username).first() if user is None or not user.is_superuser: @@ -344,11 +349,23 @@ def superuser( @app.command() -def migration(test: bool = typer.Option(True, help="Run migrations in test mode.")): +def migration( + test: bool = typer.Option(True, help="Run migrations in test mode."), + fix: bool = typer.Option( + False, + help="Fix migrations. This is a destructive operation, and should only be used if you know what you are doing.", + ), +): """ Run or test migrations. """ - initialize_services() + if fix: + if not typer.confirm( + "This will delete all data necessary to fix migrations. Are you sure you want to continue?" + ): + raise typer.Abort() + + initialize_services(fix_migration=fix) db_service = get_db_service() if not test: db_service.run_migrations() diff --git a/src/backend/langflow/alembic/env.py b/src/backend/langflow/alembic/env.py index e606036f1..283b24a6f 100644 --- a/src/backend/langflow/alembic/env.py +++ b/src/backend/langflow/alembic/env.py @@ -5,7 +5,7 @@ from sqlalchemy import pool from alembic import context -from langflow.services.database.manager import SQLModel +from langflow.services.database.service import SQLModel # this is the Alembic Config object, which provides # access to the values within the .ini file in use. diff --git a/src/backend/langflow/alembic/versions/1ef9c4f3765d_.py b/src/backend/langflow/alembic/versions/1ef9c4f3765d_.py new file mode 100644 index 000000000..f2bc42917 --- /dev/null +++ b/src/backend/langflow/alembic/versions/1ef9c4f3765d_.py @@ -0,0 +1,43 @@ +""" + + +Revision ID: 1ef9c4f3765d +Revises: fd531f8868b1 +Create Date: 2023-12-04 15:00:27.968998 + +""" +from typing import Sequence, Union + +import sqlalchemy as sa +import sqlmodel +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = '1ef9c4f3765d' +down_revision: Union[str, None] = 'fd531f8868b1' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + try: + with op.batch_alter_table('apikey', schema=None) as batch_op: + batch_op.alter_column('name', + existing_type=sqlmodel.sql.sqltypes.AutoString(), + nullable=True) + except Exception as e: + pass + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + try: + with op.batch_alter_table('apikey', schema=None) as batch_op: + batch_op.alter_column('name', + existing_type=sa.VARCHAR(), + nullable=False) + except Exception as e: + pass + # ### end Alembic commands ### diff --git a/src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py b/src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py index 53e049a05..729e1898f 100644 --- a/src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py +++ b/src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py @@ -7,9 +7,9 @@ Create Date: 2023-08-27 19:49:02.681355 """ from typing import Sequence, Union -from alembic import op import sqlalchemy as sa import sqlmodel +from alembic import op from sqlalchemy.engine.reflection import Inspector # revision identifiers, used by Alembic. @@ -23,7 +23,7 @@ def upgrade() -> None: # ### commands auto generated by Alembic - please adjust! ### conn = op.get_bind() - inspector = Inspector.from_engine(conn) + inspector = Inspector.from_engine(conn) # type: ignore # List existing tables existing_tables = inspector.get_table_names() # Drop 'flowstyle' table if it exists @@ -145,8 +145,8 @@ def upgrade() -> None: def downgrade() -> None: # ### commands auto generated by Alembic - please adjust! ### - conn = op.get_bind() - inspector = Inspector.from_engine(conn) + conn = op.get_bind() + inspector = Inspector.from_engine(conn) # type: ignore # List existing tables existing_tables = inspector.get_table_names() if "flow" in existing_tables: diff --git a/src/backend/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py b/src/backend/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py new file mode 100644 index 000000000..3f974dc04 --- /dev/null +++ b/src/backend/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py @@ -0,0 +1,45 @@ +"""Adds Credential table + +Revision ID: c1c8e217a069 +Revises: 7d2162acc8b2 +Create Date: 2023-11-24 10:45:38.465302 + +""" +from typing import Sequence, Union + +import sqlalchemy as sa +import sqlmodel +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = '2ac71eb9c3ae' +down_revision: Union[str, None] = '7d2162acc8b2' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + try: + op.create_table('credential', + sa.Column('name', sqlmodel.sql.sqltypes.AutoString(), nullable=True), + sa.Column('value', sqlmodel.sql.sqltypes.AutoString(), nullable=True), + sa.Column('provider', sqlmodel.sql.sqltypes.AutoString(), nullable=True), + sa.Column('user_id', sqlmodel.sql.sqltypes.GUID(), nullable=False), + sa.Column('id', sqlmodel.sql.sqltypes.GUID(), nullable=False), + sa.Column('created_at', sa.DateTime(), nullable=False), + sa.Column('updated_at', sa.DateTime(), nullable=True), + sa.PrimaryKeyConstraint('id') + ) + except Exception: + pass + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + try: + op.drop_table('credential') + except Exception: + pass + # ### end Alembic commands ### diff --git a/src/backend/langflow/alembic/versions/67cc006d50bf_add_profile_image_column.py b/src/backend/langflow/alembic/versions/67cc006d50bf_add_profile_image_column.py index ca0aa0542..6ce9316ac 100644 --- a/src/backend/langflow/alembic/versions/67cc006d50bf_add_profile_image_column.py +++ b/src/backend/langflow/alembic/versions/67cc006d50bf_add_profile_image_column.py @@ -7,9 +7,9 @@ Create Date: 2023-09-08 07:36:13.387318 """ from typing import Sequence, Union -from alembic import op import sqlalchemy as sa import sqlmodel +from alembic import op from sqlalchemy.engine.reflection import Inspector # revision identifiers, used by Alembic. @@ -22,7 +22,7 @@ depends_on: Union[str, Sequence[str], None] = None def upgrade() -> None: # ### commands auto generated by Alembic - please adjust! ### conn = op.get_bind() - inspector = Inspector.from_engine(conn) + inspector = Inspector.from_engine(conn) # type: ignore if "user" in inspector.get_table_names() and "profile_image" not in [ column["name"] for column in inspector.get_columns("user") ]: @@ -39,7 +39,7 @@ def upgrade() -> None: def downgrade() -> None: # ### commands auto generated by Alembic - please adjust! ### conn = op.get_bind() - inspector = Inspector.from_engine(conn) + inspector = Inspector.from_engine(conn) # type: ignore if "user" in inspector.get_table_names() and "profile_image" in [ column["name"] for column in inspector.get_columns("user") ]: diff --git a/src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py b/src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py new file mode 100644 index 000000000..54c418943 --- /dev/null +++ b/src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py @@ -0,0 +1,50 @@ +"""Store updates + +Revision ID: 7843803a87b5 +Revises: eb5866d51fd2 +Create Date: 2023-10-18 23:08:57.744906 + +""" +from typing import Sequence, Union + +import sqlalchemy as sa +import sqlmodel +from alembic import op +from loguru import logger + +# revision identifiers, used by Alembic. +revision: str = "7843803a87b5" +down_revision: Union[str, None] = "eb5866d51fd2" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + try: + with op.batch_alter_table("flow", schema=None) as batch_op: + batch_op.add_column(sa.Column("is_component", sa.Boolean(), nullable=True)) + + with op.batch_alter_table("user", schema=None) as batch_op: + batch_op.add_column( + sa.Column( + "store_api_key", sqlmodel.AutoString(), nullable=True + ) + ) + except Exception as e: + logger.exception(e) + + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + try: + with op.batch_alter_table("user", schema=None) as batch_op: + batch_op.drop_column("store_api_key") + + with op.batch_alter_table("flow", schema=None) as batch_op: + batch_op.drop_column("is_component") + except Exception: + pass + # ### end Alembic commands ### diff --git a/src/backend/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py b/src/backend/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py new file mode 100644 index 000000000..f8280053b --- /dev/null +++ b/src/backend/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py @@ -0,0 +1,93 @@ +"""Adds updated_at and folder cols + +Revision ID: 7d2162acc8b2 +Revises: f5ee9749d1a6 +Create Date: 2023-11-21 20:56:53.998781 + +""" +from typing import Sequence, Union + +import sqlalchemy as sa +import sqlmodel +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = '7d2162acc8b2' +down_revision: Union[str, None] = 'f5ee9749d1a6' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + try: + with op.batch_alter_table('component', schema=None) as batch_op: + batch_op.drop_index('ix_component_frontend_node_id') + batch_op.drop_index('ix_component_name') + op.drop_table('component') + op.drop_table('flowstyle') + except Exception as e: + print(e) + pass + with op.batch_alter_table('apikey', schema=None) as batch_op: + batch_op.alter_column('name', + existing_type=sa.VARCHAR(), + nullable=False) + + with op.batch_alter_table('flow', schema=None) as batch_op: + batch_op.add_column(sa.Column('updated_at', sa.DateTime(), nullable=True)) + batch_op.add_column(sa.Column('folder', sqlmodel.sql.sqltypes.AutoString(), nullable=True)) + + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + try: + with op.batch_alter_table('flow', schema=None) as batch_op: + batch_op.drop_column('folder') + batch_op.drop_column('updated_at') + except Exception as e: + print(e) + pass + + try: + + with op.batch_alter_table('apikey', schema=None) as batch_op: + batch_op.alter_column('name', + existing_type=sa.VARCHAR(), + nullable=True) + except Exception as e: + print(e) + pass + try: + op.create_table('flowstyle', + sa.Column('color', sa.VARCHAR(), nullable=False), + sa.Column('emoji', sa.VARCHAR(), nullable=False), + sa.Column('flow_id', sa.CHAR(length=32), nullable=True), + sa.Column('id', sa.CHAR(length=32), nullable=False), + sa.ForeignKeyConstraint(['flow_id'], ['flow.id'], ), + sa.PrimaryKeyConstraint('id'), + sa.UniqueConstraint('id') + ) + op.create_table('component', + sa.Column('id', sa.CHAR(length=32), nullable=False), + sa.Column('frontend_node_id', sa.CHAR(length=32), nullable=False), + sa.Column('name', sa.VARCHAR(), nullable=False), + sa.Column('description', sa.VARCHAR(), nullable=True), + sa.Column('python_code', sa.VARCHAR(), nullable=True), + sa.Column('return_type', sa.VARCHAR(), nullable=True), + sa.Column('is_disabled', sa.BOOLEAN(), nullable=False), + sa.Column('is_read_only', sa.BOOLEAN(), nullable=False), + sa.Column('create_at', sa.DATETIME(), nullable=False), + sa.Column('update_at', sa.DATETIME(), nullable=False), + sa.PrimaryKeyConstraint('id') + ) + + with op.batch_alter_table('component', schema=None) as batch_op: + batch_op.create_index('ix_component_name', ['name'], unique=False) + batch_op.create_index('ix_component_frontend_node_id', ['frontend_node_id'], unique=False) + except Exception as e: + print(e) + pass + # ### end Alembic commands ### diff --git a/src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py b/src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py index cb126c926..080602358 100644 --- a/src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py +++ b/src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py @@ -7,10 +7,9 @@ Create Date: 2023-10-04 10:18:25.640458 """ from typing import Sequence, Union -from alembic import op import sqlalchemy as sa +from alembic import op from sqlalchemy import exc -import sqlmodel # noqa: F401 # revision identifiers, used by Alembic. revision: str = "eb5866d51fd2" @@ -28,14 +27,16 @@ def upgrade() -> None: batch_op.drop_index("ix_component_frontend_node_id") batch_op.drop_index("ix_component_name") except exc.SQLAlchemyError: - connection.execute("ROLLBACK") + # connection.execute(text("ROLLBACK")) + pass except Exception: pass try: op.drop_table("component") except exc.SQLAlchemyError: - connection.execute("ROLLBACK") + # connection.execute(text("ROLLBACK")) + pass except Exception: pass # ### end Alembic commands ### diff --git a/src/backend/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py b/src/backend/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py new file mode 100644 index 000000000..60e19e69e --- /dev/null +++ b/src/backend/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py @@ -0,0 +1,45 @@ +"""User id can be null in Flow + +Revision ID: f5ee9749d1a6 +Revises: 7843803a87b5 +Create Date: 2023-10-18 23:12:27.297016 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +import sqlmodel + + +# revision identifiers, used by Alembic. +revision: str = "f5ee9749d1a6" +down_revision: Union[str, None] = "7843803a87b5" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + try: + with op.batch_alter_table("flow", schema=None) as batch_op: + batch_op.alter_column( + "user_id", existing_type=sa.CHAR(length=32), nullable=True + ) + except Exception: + pass + + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + try: + with op.batch_alter_table("flow", schema=None) as batch_op: + batch_op.alter_column( + "user_id", existing_type=sa.CHAR(length=32), nullable=False + ) + except Exception: + pass + + # ### end Alembic commands ### diff --git a/src/backend/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py b/src/backend/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py new file mode 100644 index 000000000..db20f928b --- /dev/null +++ b/src/backend/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py @@ -0,0 +1,38 @@ +"""Fix Credential table + +Revision ID: fd531f8868b1 +Revises: 2ac71eb9c3ae +Create Date: 2023-11-24 15:07:37.566516 + +""" +from typing import Sequence, Union + +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = 'fd531f8868b1' +down_revision: Union[str, None] = '2ac71eb9c3ae' +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + try: + with op.batch_alter_table('credential', schema=None) as batch_op: + batch_op.create_foreign_key("fk_credential_user_id", 'user', ['user_id'], ['id']) + except Exception: + pass + + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + try: + with op.batch_alter_table('credential', schema=None) as batch_op: + batch_op.drop_constraint("fk_credential_user_id", type_='foreignkey') + except Exception: + pass + + # ### end Alembic commands ### diff --git a/src/backend/langflow/api/router.py b/src/backend/langflow/api/router.py index dbaf20e75..24d64b401 100644 --- a/src/backend/langflow/api/router.py +++ b/src/backend/langflow/api/router.py @@ -1,14 +1,16 @@ # Router for base api from fastapi import APIRouter + from langflow.api.v1 import ( - chat_router, - endpoints_router, - validate_router, - flows_router, - component_router, - users_router, api_key_router, + chat_router, + credentials_router, + endpoints_router, + flows_router, login_router, + store_router, + users_router, + validate_router, ) router = APIRouter( @@ -17,8 +19,9 @@ router = APIRouter( router.include_router(chat_router) router.include_router(endpoints_router) router.include_router(validate_router) -router.include_router(component_router) +router.include_router(store_router) router.include_router(flows_router) router.include_router(users_router) router.include_router(api_key_router) router.include_router(login_router) +router.include_router(credentials_router) diff --git a/src/backend/langflow/api/utils.py b/src/backend/langflow/api/utils.py index c519fffed..e97eb19e6 100644 --- a/src/backend/langflow/api/utils.py +++ b/src/backend/langflow/api/utils.py @@ -1,10 +1,17 @@ +from pathlib import Path +from typing import TYPE_CHECKING, List + +from platformdirs import user_cache_dir + +if TYPE_CHECKING: + from langflow.services.database.models.flow.model import Flow + + API_WORDS = ["api", "key", "token"] def has_api_terms(word: str): - return "api" in word and ( - "key" in word or ("token" in word and "tokens" not in word) - ) + return "api" in word and ("key" in word or ("token" in word and "tokens" not in word)) def remove_api_keys(flow: dict): @@ -14,11 +21,7 @@ def remove_api_keys(flow: dict): node_data = node.get("data").get("node") template = node_data.get("template") for value in template.values(): - if ( - isinstance(value, dict) - and has_api_terms(value["name"]) - and value.get("password") - ): + if isinstance(value, dict) and has_api_terms(value["name"]) and value.get("password"): value["value"] = None return flow @@ -39,9 +42,7 @@ def build_input_keys_response(langchain_object, artifacts): input_keys_response["input_keys"][key] = value # If the object has memory, that memory will have a memory_variables attribute # memory variables should be removed from the input keys - if hasattr(langchain_object, "memory") and hasattr( - langchain_object.memory, "memory_variables" - ): + if hasattr(langchain_object, "memory") and hasattr(langchain_object.memory, "memory_variables"): # Remove memory variables from input keys input_keys_response["input_keys"] = { key: value @@ -51,18 +52,88 @@ def build_input_keys_response(langchain_object, artifacts): # Add memory variables to memory_keys input_keys_response["memory_keys"] = langchain_object.memory.memory_variables - if hasattr(langchain_object, "prompt") and hasattr( - langchain_object.prompt, "template" - ): + if hasattr(langchain_object, "prompt") and hasattr(langchain_object.prompt, "template"): input_keys_response["template"] = langchain_object.prompt.template return input_keys_response -def get_new_key(dictionary, original_key): - counter = 1 - new_key = original_key + " (" + str(counter) + ")" - while new_key in dictionary: - counter += 1 - new_key = original_key + " (" + str(counter) + ")" - return new_key +def update_frontend_node_with_template_values(frontend_node, raw_template_data): + """ + Updates the given frontend node with values from the raw template data. + + :param frontend_node: A dict representing a built frontend node. + :param raw_template_data: A dict representing raw template data. + :return: Updated frontend node. + """ + if not is_valid_data(frontend_node, raw_template_data): + return frontend_node + + update_template_values(frontend_node["template"], raw_template_data.template) + + return frontend_node + + +def is_valid_data(frontend_node, raw_template_data): + """Check if the data is valid for processing.""" + return ( + frontend_node and "template" in frontend_node and raw_template_data and hasattr(raw_template_data, "template") + ) + + + +def update_template_values(frontend_template, raw_template): + """Updates the frontend template with values from the raw template.""" + for key, value_dict in raw_template.items(): + if key == "code" or not isinstance(value_dict, dict): + continue + + update_template_field(frontend_template, key, value_dict) + + +def update_template_field(frontend_template, key, value_dict): + """Updates a specific field in the frontend template.""" + template_field = frontend_template.get(key) + if not template_field or template_field.get("type") != value_dict.get("type"): + return + + if "value" in value_dict: + template_field["value"] = value_dict["value"] + + if "file_path" in value_dict: + file_path_value = get_file_path_value(value_dict["file_path"]) + if not file_path_value: + # If the file does not exist, remove the value from the template_field["value"] + template_field["value"] = "" + template_field["file_path"] = file_path_value + + +def get_file_path_value(file_path): + """Get the file path value if the file exists, else return empty string.""" + + path = Path(file_path) + # Check for safety + # If the path is not in the cache dir, return empty string + # This is to prevent access to files outside the cache dir + # If the path is not a file, return empty string + if not path.exists() or not str(path).startswith(user_cache_dir("langflow", "langflow")): + return "" + return file_path + + +def validate_is_component(flows: List["Flow"]): + for flow in flows: + if not flow.data or flow.is_component is not None: + continue + + is_component = get_is_component_from_data(flow.data) + if is_component is not None: + flow.is_component = is_component + else: + flow.is_component = len(flow.data.get("nodes", [])) == 1 + return flows + + +def get_is_component_from_data(data: dict): + """Returns True if the data is a component.""" + return data.get("is_component") diff --git a/src/backend/langflow/api/v1/__init__.py b/src/backend/langflow/api/v1/__init__.py index 9335a4607..6368a0cc8 100644 --- a/src/backend/langflow/api/v1/__init__.py +++ b/src/backend/langflow/api/v1/__init__.py @@ -1,19 +1,21 @@ -from langflow.api.v1.endpoints import router as endpoints_router -from langflow.api.v1.validate import router as validate_router -from langflow.api.v1.chat import router as chat_router -from langflow.api.v1.flows import router as flows_router -from langflow.api.v1.components import router as component_router -from langflow.api.v1.users import router as users_router from langflow.api.v1.api_key import router as api_key_router +from langflow.api.v1.chat import router as chat_router +from langflow.api.v1.credential import router as credentials_router +from langflow.api.v1.endpoints import router as endpoints_router +from langflow.api.v1.flows import router as flows_router from langflow.api.v1.login import router as login_router +from langflow.api.v1.store import router as store_router +from langflow.api.v1.users import router as users_router +from langflow.api.v1.validate import router as validate_router __all__ = [ "chat_router", "endpoints_router", - "component_router", + "store_router", "validate_router", "flows_router", "users_router", "api_key_router", "login_router", + "credentials_router", ] diff --git a/src/backend/langflow/api/v1/api_key.py b/src/backend/langflow/api/v1/api_key.py index 7f5916d06..48cf7d1ca 100644 --- a/src/backend/langflow/api/v1/api_key.py +++ b/src/backend/langflow/api/v1/api_key.py @@ -1,22 +1,30 @@ +from typing import TYPE_CHECKING from uuid import UUID -from fastapi import APIRouter, HTTPException, Depends -from langflow.api.v1.schemas import ApiKeysResponse -from langflow.services.auth.utils import get_current_active_user -from langflow.services.database.models.api_key.api_key import ( - ApiKeyCreate, - UnmaskedApiKeyRead, -) + +from fastapi import APIRouter, Depends, HTTPException +from sqlmodel import Session + +from langflow.api.v1.schemas import ApiKeyCreateRequest, ApiKeysResponse +from langflow.services.auth import utils as auth_utils # Assuming you have these methods in your service layer from langflow.services.database.models.api_key.crud import ( - get_api_keys, create_api_key, delete_api_key, + get_api_keys, +) +from langflow.services.database.models.api_key.model import ( + ApiKeyCreate, + UnmaskedApiKeyRead, +) +from langflow.services.database.models.user.model import User +from langflow.services.deps import ( + get_session, + get_settings_service, ) -from langflow.services.database.models.user.user import User -from langflow.services.getters import get_session -from sqlmodel import Session +if TYPE_CHECKING: + pass router = APIRouter(tags=["APIKey"], prefix="/api_key") @@ -24,7 +32,7 @@ router = APIRouter(tags=["APIKey"], prefix="/api_key") @router.get("/", response_model=ApiKeysResponse) def get_api_keys_route( db: Session = Depends(get_session), - current_user: User = Depends(get_current_active_user), + current_user: User = Depends(auth_utils.get_current_active_user), ): try: user_id = current_user.id @@ -38,7 +46,7 @@ def get_api_keys_route( @router.post("/", response_model=UnmaskedApiKeyRead) def create_api_key_route( req: ApiKeyCreate, - current_user: User = Depends(get_current_active_user), + current_user: User = Depends(auth_utils.get_current_active_user), db: Session = Depends(get_session), ): try: @@ -51,7 +59,7 @@ def create_api_key_route( @router.delete("/{api_key_id}") def delete_api_key_route( api_key_id: UUID, - current_user=Depends(get_current_active_user), + current_user=Depends(auth_utils.get_current_active_user), db: Session = Depends(get_session), ): try: @@ -59,3 +67,34 @@ def delete_api_key_route( return {"detail": "API Key deleted"} except Exception as e: raise HTTPException(status_code=400, detail=str(e)) from e + + +@router.post("/store") +def save_store_api_key( + api_key_request: ApiKeyCreateRequest, + current_user: User = Depends(auth_utils.get_current_active_user), + db: Session = Depends(get_session), + settings_service=Depends(get_settings_service), +): + try: + api_key = api_key_request.api_key + # Encrypt the API key + encrypted = auth_utils.encrypt_api_key(api_key, settings_service=settings_service) + current_user.store_api_key = encrypted + db.commit() + return {"detail": "API Key saved"} + except Exception as e: + raise HTTPException(status_code=400, detail=str(e)) from e + + +@router.delete("/store") +def delete_store_api_key( + current_user: User = Depends(auth_utils.get_current_active_user), + db: Session = Depends(get_session), +): + try: + current_user.store_api_key = None + db.commit() + return {"detail": "API Key deleted"} + except Exception as e: + raise HTTPException(status_code=400, detail=str(e)) from e diff --git a/src/backend/langflow/api/v1/base.py b/src/backend/langflow/api/v1/base.py index af64ccaf3..15bb4e17a 100644 --- a/src/backend/langflow/api/v1/base.py +++ b/src/backend/langflow/api/v1/base.py @@ -81,9 +81,7 @@ def validate_prompt(template: str): # Check if there are invalid characters in the input_variables input_variables = check_input_variables(input_variables) if any(var in INVALID_NAMES for var in input_variables): - raise ValueError( - f"Invalid input variables. None of the variables can be named {', '.join(input_variables)}. " - ) + raise ValueError(f"Invalid input variables. None of the variables can be named {', '.join(input_variables)}. ") try: PromptTemplate(template=template, input_variables=input_variables) @@ -134,9 +132,7 @@ def check_input_variables(input_variables: list): return input_variables -def build_error_message( - input_variables, invalid_chars, wrong_variables, fixed_variables, empty_variables -): +def build_error_message(input_variables, invalid_chars, wrong_variables, fixed_variables, empty_variables): input_variables_str = ", ".join([f"'{var}'" for var in input_variables]) error_string = f"Invalid input variables: {input_variables_str}. " diff --git a/src/backend/langflow/api/v1/callback.py b/src/backend/langflow/api/v1/callback.py index 787ca9680..a838a8750 100644 --- a/src/backend/langflow/api/v1/callback.py +++ b/src/backend/langflow/api/v1/callback.py @@ -1,19 +1,15 @@ import asyncio +from typing import Any, Dict, List, Optional from uuid import UUID from langchain.callbacks.base import AsyncCallbackHandler, BaseCallbackHandler - -from langflow.api.v1.schemas import ChatResponse, PromptResponse - - -from typing import Any, Dict, List, Optional -from langflow.services.getters import get_chat_service - - -from langflow.utils.util import remove_ansi_escape_codes from langchain.schema import AgentAction, AgentFinish from loguru import logger +from langflow.api.v1.schemas import ChatResponse, PromptResponse +from langflow.services.deps import get_chat_service +from langflow.utils.util import remove_ansi_escape_codes + # https://github.com/hwchase17/chat-langchain/blob/master/callback.py class AsyncStreamingLLMCallbackHandler(AsyncCallbackHandler): @@ -26,18 +22,16 @@ class AsyncStreamingLLMCallbackHandler(AsyncCallbackHandler): async def on_llm_new_token(self, token: str, **kwargs: Any) -> None: resp = ChatResponse(message=token, type="stream", intermediate_steps="") - await self.websocket.send_json(resp.dict()) + await self.websocket.send_json(resp.model_dump()) - async def on_tool_start( - self, serialized: Dict[str, Any], input_str: str, **kwargs: Any - ) -> Any: + async def on_tool_start(self, serialized: Dict[str, Any], input_str: str, **kwargs: Any) -> Any: """Run when tool starts running.""" resp = ChatResponse( message="", type="stream", intermediate_steps=f"Tool input: {input_str}", ) - await self.websocket.send_json(resp.dict()) + await self.websocket.send_json(resp.model_dump()) async def on_tool_end(self, output: str, **kwargs: Any) -> Any: """Run when tool ends running.""" @@ -68,7 +62,7 @@ class AsyncStreamingLLMCallbackHandler(AsyncCallbackHandler): try: # This is to emulate the stream of tokens for resp in resps: - await self.websocket.send_json(resp.dict()) + await self.websocket.send_json(resp.model_dump()) except Exception as exc: logger.error(f"Error sending response: {exc}") @@ -94,7 +88,7 @@ class AsyncStreamingLLMCallbackHandler(AsyncCallbackHandler): resp = PromptResponse( prompt=text, ) - await self.websocket.send_json(resp.dict()) + await self.websocket.send_json(resp.model_dump()) self.chat_service.chat_history.add_message(self.client_id, resp) async def on_agent_action(self, action: AgentAction, **kwargs: Any): @@ -105,10 +99,10 @@ class AsyncStreamingLLMCallbackHandler(AsyncCallbackHandler): logs = log.split("\n") for log in logs: resp = ChatResponse(message="", type="stream", intermediate_steps=log) - await self.websocket.send_json(resp.dict()) + await self.websocket.send_json(resp.model_dump()) else: resp = ChatResponse(message="", type="stream", intermediate_steps=log) - await self.websocket.send_json(resp.dict()) + await self.websocket.send_json(resp.model_dump()) async def on_agent_finish(self, finish: AgentFinish, **kwargs: Any) -> Any: """Run on agent end.""" @@ -117,7 +111,7 @@ class AsyncStreamingLLMCallbackHandler(AsyncCallbackHandler): type="stream", intermediate_steps=finish.log, ) - await self.websocket.send_json(resp.dict()) + await self.websocket.send_json(resp.model_dump()) class StreamingLLMCallbackHandler(BaseCallbackHandler): @@ -132,5 +126,5 @@ class StreamingLLMCallbackHandler(BaseCallbackHandler): resp = ChatResponse(message=token, type="stream", intermediate_steps="") loop = asyncio.get_event_loop() - coroutine = self.websocket.send_json(resp.dict()) + coroutine = self.websocket.send_json(resp.model_dump()) asyncio.run_coroutine_threadsafe(coroutine, loop) diff --git a/src/backend/langflow/api/v1/chat.py b/src/backend/langflow/api/v1/chat.py index c43921ebb..870773997 100644 --- a/src/backend/langflow/api/v1/chat.py +++ b/src/backend/langflow/api/v1/chat.py @@ -1,28 +1,19 @@ -from fastapi import ( - APIRouter, - Depends, - HTTPException, - Query, - WebSocket, - WebSocketException, - status, -) +from fastapi import (APIRouter, Depends, HTTPException, Query, WebSocket, + WebSocketException, status) from fastapi.responses import StreamingResponse from langflow.api.utils import build_input_keys_response -from langflow.api.v1.schemas import BuildStatus, BuiltResponse, InitResponse, StreamData - +from langflow.api.v1.schemas import (BuildStatus, BuiltResponse, InitResponse, + StreamData) from langflow.graph.graph.base import Graph -from langflow.services.auth.utils import ( - get_current_active_user, - get_current_user_by_jwt, -) +from langflow.services.auth.utils import (get_current_active_user, + get_current_user_by_jwt) +from langflow.services.cache.service import BaseCacheService from langflow.services.cache.utils import update_build_status +from langflow.services.chat.service import ChatService +from langflow.services.deps import (get_cache_service, get_chat_service, + get_session) from loguru import logger -from langflow.services.getters import get_chat_service, get_session, get_cache_service from sqlmodel import Session -from langflow.services.chat.manager import ChatService -from langflow.services.cache.manager import BaseCacheService - router = APIRouter(tags=["Chat"]) @@ -40,13 +31,9 @@ async def chat( user = await get_current_user_by_jwt(token, db) await websocket.accept() if not user: - await websocket.close( - code=status.WS_1008_POLICY_VIOLATION, reason="Unauthorized" - ) + await websocket.close(code=status.WS_1008_POLICY_VIOLATION, reason="Unauthorized") if not user.is_active: - await websocket.close( - code=status.WS_1008_POLICY_VIOLATION, reason="Unauthorized" - ) + await websocket.close(code=status.WS_1008_POLICY_VIOLATION, reason="Unauthorized") if client_id in chat_service.cache_service: await chat_service.handle_websocket(client_id, websocket) @@ -62,9 +49,7 @@ async def chat( logger.error(f"Error in chat websocket: {exc}") messsage = exc.detail if isinstance(exc, HTTPException) else str(exc) if "Could not validate credentials" in str(exc): - await websocket.close( - code=status.WS_1008_POLICY_VIOLATION, reason="Unauthorized" - ) + await websocket.close(code=status.WS_1008_POLICY_VIOLATION, reason="Unauthorized") else: await websocket.close(code=status.WS_1011_INTERNAL_ERROR, reason=messsage) @@ -106,15 +91,10 @@ async def init_build( @router.get("/build/{flow_id}/status", response_model=BuiltResponse) -async def build_status( - flow_id: str, cache_service: "BaseCacheService" = Depends(get_cache_service) -): +async def build_status(flow_id: str, cache_service: "BaseCacheService" = Depends(get_cache_service)): """Check the flow_id is in the cache_service.""" try: - built = ( - flow_id in cache_service - and cache_service[flow_id]["status"] == BuildStatus.SUCCESS - ) + built = flow_id in cache_service and cache_service[flow_id]["status"] == BuildStatus.SUCCESS return BuiltResponse( built=built, @@ -136,19 +116,20 @@ async def stream_build( async def event_stream(flow_id): final_response = {"end_of_stream": True} artifacts = {} + flow_cache = cache_service[flow_id] + flow_cache = flow_cache if isinstance(flow_cache, dict) else {} try: if flow_id not in cache_service: error_message = "Invalid session ID" yield str(StreamData(event="error", data={"error": error_message})) return - if cache_service[flow_id].get("status") == BuildStatus.IN_PROGRESS: + if flow_cache.get("status") == BuildStatus.IN_PROGRESS: error_message = "Already building" yield str(StreamData(event="error", data={"error": error_message})) return - graph_data = cache_service[flow_id].get("graph_data") - cache_service[flow_id]["user_id"] + graph_data = flow_cache.get("graph_data") if not graph_data: error_message = "No data provided" @@ -160,11 +141,11 @@ async def stream_build( # Some error could happen when building the graph graph = Graph.from_payload(graph_data) - number_of_nodes = len(graph.nodes) + number_of_nodes = len(graph.vertices) update_build_status(cache_service, flow_id, BuildStatus.IN_PROGRESS) try: - user_id = cache_service[flow_id]["user_id"] + user_id = flow_cache["user_id"] except KeyError: logger.debug("No user_id found in cache_service") user_id = None @@ -175,15 +156,13 @@ async def stream_build( } yield str(StreamData(event="log", data=log_dict)) if vertex.is_task: - vertex = try_running_celery_task(vertex, user_id) + vertex = await try_running_celery_task(vertex, user_id) else: - vertex.build(user_id=user_id) + await vertex.build(user_id=user_id) params = vertex._built_object_repr() valid = True logger.debug(f"Building node {str(vertex.vertex_type)}") - logger.debug( - f"Output: {params[:100]}{'...' if len(params) > 100 else ''}" - ) + logger.debug(f"Output: {params[:100]}{'...' if len(params) > 100 else ''}") if vertex.artifacts: # The artifacts will be prompt variables # passed to build_input_keys_response @@ -195,10 +174,8 @@ async def stream_build( valid = False update_build_status(cache_service, flow_id, BuildStatus.FAILURE) - vertex_id = ( - vertex.parent_node_id if vertex.parent_is_top_level else vertex.id - ) - if vertex_id in graph.top_level_nodes: + vertex_id = vertex.parent_node_id if vertex.parent_is_top_level else vertex.id + if vertex_id in graph.top_level_vertices: response = { "valid": valid, "params": params, @@ -208,12 +185,10 @@ async def stream_build( yield str(StreamData(event="message", data=response)) - langchain_object = graph.build() + langchain_object = await graph.build() # Now we need to check the input_keys to send them to the client if hasattr(langchain_object, "input_keys"): - input_keys_response = build_input_keys_response( - langchain_object, artifacts - ) + input_keys_response = build_input_keys_response(langchain_object, artifacts) else: input_keys_response = { "input_keys": None, @@ -241,7 +216,7 @@ async def stream_build( raise HTTPException(status_code=500, detail=str(exc)) -def try_running_celery_task(vertex, user_id): +async def try_running_celery_task(vertex, user_id): # Try running the task in celery # and set the task_id to the local vertex # if it fails, run the task locally @@ -253,5 +228,5 @@ def try_running_celery_task(vertex, user_id): except Exception as exc: logger.debug(f"Error running task in celery: {exc}") vertex.task_id = None - vertex.build(user_id=user_id) + await vertex.build(user_id=user_id) return vertex diff --git a/src/backend/langflow/api/v1/components.py b/src/backend/langflow/api/v1/components.py deleted file mode 100644 index d2b39dfd2..000000000 --- a/src/backend/langflow/api/v1/components.py +++ /dev/null @@ -1,77 +0,0 @@ -from datetime import timezone -from typing import List -from uuid import UUID -from langflow.services.database.models.component import Component, ComponentModel -from langflow.services.getters import get_session -from sqlmodel import Session, select -from fastapi import APIRouter, Depends, HTTPException -from sqlalchemy.exc import IntegrityError -from datetime import datetime - - -COMPONENT_NOT_FOUND = "Component not found" -COMPONENT_ALREADY_EXISTS = "A component with the same id already exists." -COMPONENT_DELETED = "Component deleted" - - -router = APIRouter(prefix="/components", tags=["Components"]) - - -@router.post("/", response_model=Component) -def create_component(component: ComponentModel, db: Session = Depends(get_session)): - db_component = Component(**component.dict()) - try: - db.add(db_component) - db.commit() - db.refresh(db_component) - except IntegrityError as e: - db.rollback() - raise HTTPException( - status_code=400, - detail=COMPONENT_ALREADY_EXISTS, - ) from e - return db_component - - -@router.get("/{component_id}", response_model=Component) -def read_component(component_id: UUID, db: Session = Depends(get_session)): - if component := db.get(Component, component_id): - return component - else: - raise HTTPException(status_code=404, detail=COMPONENT_NOT_FOUND) - - -@router.get("/", response_model=List[Component]) -def read_components(skip: int = 0, limit: int = 50, db: Session = Depends(get_session)): - query = select(Component) - query = query.offset(skip).limit(limit) - - return db.execute(query).fetchall() - - -@router.patch("/{component_id}", response_model=Component) -def update_component( - component_id: UUID, component: ComponentModel, db: Session = Depends(get_session) -): - db_component = db.get(Component, component_id) - if not db_component: - raise HTTPException(status_code=404, detail=COMPONENT_NOT_FOUND) - component_data = component.dict(exclude_unset=True) - - for key, value in component_data.items(): - setattr(db_component, key, value) - - db_component.update_at = datetime.now(timezone.utc) - db.commit() - db.refresh(db_component) - return db_component - - -@router.delete("/{component_id}") -def delete_component(component_id: UUID, db: Session = Depends(get_session)): - component = db.get(Component, component_id) - if not component: - raise HTTPException(status_code=404, detail=COMPONENT_NOT_FOUND) - db.delete(component) - db.commit() - return {"detail": COMPONENT_DELETED} diff --git a/src/backend/langflow/api/v1/credential.py b/src/backend/langflow/api/v1/credential.py new file mode 100644 index 000000000..1026319c4 --- /dev/null +++ b/src/backend/langflow/api/v1/credential.py @@ -0,0 +1,86 @@ +from datetime import datetime +from uuid import UUID + +from fastapi import APIRouter, Depends, HTTPException +from langflow.services.auth import utils as auth_utils +from langflow.services.auth.utils import get_current_active_user +from langflow.services.database.models.credential import Credential, CredentialCreate, CredentialRead, CredentialUpdate +from langflow.services.database.models.user.model import User +from langflow.services.deps import get_session, get_settings_service +from sqlmodel import Session, select + +router = APIRouter(prefix="/credentials", tags=["Credentials"]) + + +@router.post("/", response_model=CredentialRead, status_code=201) +def create_credential( + *, + session: Session = Depends(get_session), + credential: CredentialCreate, + current_user: User = Depends(get_current_active_user), + settings_service=Depends(get_settings_service), +): + """Create a new credential.""" + try: + # check if credential name already exists + credential_exists = session.exec( + select(Credential).where(Credential.name == credential.name, Credential.user_id == current_user.id) + ).first() + if credential_exists: + raise HTTPException(status_code=400, detail="Credential name already exists") + + db_credential = Credential.model_validate(credential, from_attributes=True) + if not db_credential.value: + raise HTTPException(status_code=400, detail="Credential value cannot be empty") + encrypted = auth_utils.encrypt_api_key(db_credential.value, settings_service=settings_service) + db_credential.value = encrypted + db_credential.user_id = current_user.id + session.add(db_credential) + session.commit() + session.refresh(db_credential) + return db_credential + except Exception as e: + if isinstance(e, HTTPException): + raise e + raise HTTPException(status_code=500, detail=str(e)) from e + + +@router.get("/", response_model=list[CredentialRead], status_code=200) +def read_credentials( + *, + session: Session = Depends(get_session), + current_user: User = Depends(get_current_active_user), +): + """Read all credentials.""" + try: + credentials = session.exec(select(Credential).where(Credential.user_id == current_user.id)).all() + return credentials + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) from e + + +@router.patch("/{credential_id}", response_model=CredentialRead, status_code=200) +def update_credential( + *, + session: Session = Depends(get_session), + credential_id: UUID, + credential: CredentialUpdate, + current_user: User = Depends(get_current_active_user), +): + """Update a credential.""" + try: + db_credential = session.exec( + select(Credential).where(Credential.id == credential_id, Credential.user_id == current_user.id) + ).first() + if not db_credential: + raise HTTPException(status_code=404, detail="Credential not found") + + credential_data = credential.model_dump(exclude_unset=True) + for key, value in credential_data.items(): + setattr(db_credential, key, value) + db_credential.updated_at = datetime.utcnow() + session.commit() + session.refresh(db_credential) + return db_credential + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) from e diff --git a/src/backend/langflow/api/v1/endpoints.py b/src/backend/langflow/api/v1/endpoints.py index fee1fc367..d4bb083ef 100644 --- a/src/backend/langflow/api/v1/endpoints.py +++ b/src/backend/langflow/api/v1/endpoints.py @@ -1,33 +1,27 @@ from http import HTTPStatus from typing import Annotated, Optional, Union -from langflow.services.auth.utils import api_key_security, get_current_active_user - -from langflow.services.cache.utils import save_uploaded_file -from langflow.services.database.models.flow import Flow -from langflow.processing.process import process_graph_cached, process_tweaks -from langflow.services.database.models.user.user import User -from langflow.services.getters import ( - get_session_service, - get_settings_service, - get_task_service, -) -from loguru import logger -from fastapi import APIRouter, Depends, HTTPException, UploadFile, Body, status import sqlalchemy as sa -from langflow.interface.custom.custom_component import CustomComponent - - +from fastapi import APIRouter, Body, Depends, HTTPException, UploadFile, status +from langflow.api.utils import update_frontend_node_with_template_values from langflow.api.v1.schemas import ( + CustomComponentCode, ProcessResponse, TaskResponse, TaskStatusResponse, UploadFileResponse, - CustomComponentCode, ) - - -from langflow.services.getters import get_session +from langflow.interface.custom.custom_component import CustomComponent +from langflow.interface.custom.directory_reader import DirectoryReader +from langflow.interface.types import build_custom_component_template, create_and_validate_component +from langflow.processing.process import process_graph_cached, process_tweaks +from langflow.services.auth.utils import api_key_security, get_current_active_user +from langflow.services.cache.utils import save_uploaded_file +from langflow.services.database.models.flow import Flow +from langflow.services.database.models.user.model import User +from langflow.services.deps import get_session, get_session_service, get_settings_service, get_task_service +from loguru import logger +from sqlmodel import select try: from langflow.worker import process_graph_cached_task @@ -37,11 +31,9 @@ except ImportError: raise NotImplementedError("Celery is not installed") +from langflow.services.task.service import TaskService from sqlmodel import Session - -from langflow.services.task.manager import TaskService - # build router router = APIRouter(tags=["Base"]) @@ -92,18 +84,15 @@ async def process( ) # Get the flow that matches the flow_id and belongs to the user - flow = ( - session.query(Flow) - .filter(Flow.id == flow_id) - .filter(Flow.user_id == api_key_user.id) - .first() - ) + # flow = session.query(Flow).filter(Flow.id == flow_id).filter(Flow.user_id == api_key_user.id).first() + flow = session.exec(select(Flow).where(Flow.id == flow_id).where(Flow.user_id == api_key_user.id)).first() if flow is None: raise ValueError(f"Flow {flow_id} not found") if flow.data is None: raise ValueError(f"Flow {flow_id} has no data") graph_data = flow.data + task_result = None if tweaks: try: graph_data = process_tweaks(graph_data, tweaks) @@ -111,9 +100,7 @@ async def process( logger.error(f"Error processing tweaks: {exc}") if sync: task_id, result = await task_service.launch_and_await_task( - process_graph_cached_task - if task_service.use_celery - else process_graph_cached, + process_graph_cached_task if task_service.use_celery else process_graph_cached, graph_data, inputs, clear_cache, @@ -133,13 +120,9 @@ async def process( ) if session_id is None: # Generate a session ID - session_id = get_session_service().generate_key( - session_id=session_id, data_graph=graph_data - ) + session_id = get_session_service().generate_key(session_id=session_id, data_graph=graph_data) task_id, task = await task_service.launch_task( - process_graph_cached_task - if task_service.use_celery - else process_graph_cached, + process_graph_cached_task if task_service.use_celery else process_graph_cached, graph_data, inputs, clear_cache, @@ -162,18 +145,12 @@ async def process( # StatementError('(builtins.ValueError) badly formed hexadecimal UUID string') if "badly formed hexadecimal UUID string" in str(exc): # This means the Flow ID is not a valid UUID which means it can't find the flow - raise HTTPException( - status_code=status.HTTP_404_NOT_FOUND, detail=str(exc) - ) from exc + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc except ValueError as exc: if f"Flow {flow_id} not found" in str(exc): - raise HTTPException( - status_code=status.HTTP_404_NOT_FOUND, detail=str(exc) - ) from exc + raise HTTPException(status_code=status.HTTP_404_NOT_FOUND, detail=str(exc)) from exc else: - raise HTTPException( - status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(exc) - ) from exc + raise HTTPException(status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, detail=str(exc)) from exc except Exception as e: # Log stack trace logger.exception(e) @@ -187,6 +164,10 @@ async def get_task_status(task_id: str): result = None if task.ready(): result = task.result + # If result isinstance of Exception, can we get the traceback? + if isinstance(result, Exception): + logger.exception(task.traceback) + if isinstance(result, dict) and "result" in result: result = result["result"] elif hasattr(result, "result"): @@ -194,6 +175,10 @@ async def get_task_status(task_id: str): if task is None: raise HTTPException(status_code=404, detail="Task not found") + if task.status == "FAILURE": + result = str(task.result) + logger.error(f"Task {task_id} failed: {task.traceback}") + return TaskStatusResponse(status=task.status, result=result) @@ -229,11 +214,38 @@ async def custom_component( raw_code: CustomComponentCode, user: User = Depends(get_current_active_user), ): - from langflow.interface.types import ( - build_langchain_template_custom_component, - ) + component = create_and_validate_component(raw_code.code) - extractor = CustomComponent(code=raw_code.code) - extractor.is_check_valid() + built_frontend_node = build_custom_component_template(component, user_id=user.id) - return build_langchain_template_custom_component(extractor, user_id=user.id) + built_frontend_node = update_frontend_node_with_template_values(built_frontend_node, raw_code) + return built_frontend_node + + +@router.post("/custom_component/reload", status_code=HTTPStatus.OK) +async def reload_custom_component(path: str, user: User = Depends(get_current_active_user)): + from langflow.interface.types import build_custom_component_template + + try: + reader = DirectoryReader("") + valid, content = reader.process_file(path) + if not valid: + raise ValueError(content) + + extractor = CustomComponent(code=content) + extractor.validate() + return build_custom_component_template(extractor, user_id=user.id) + except Exception as exc: + raise HTTPException(status_code=400, detail=str(exc)) + + +@router.post("/custom_component/update", status_code=HTTPStatus.OK) +async def custom_component_update( + raw_code: CustomComponentCode, + user: User = Depends(get_current_active_user), +): + component = create_and_validate_component(raw_code.code) + + component_node = build_custom_component_template(component, user_id=user.id, update_field=raw_code.field) + # Update the field + return component_node diff --git a/src/backend/langflow/api/v1/flows.py b/src/backend/langflow/api/v1/flows.py index 9953db0db..28c11dfb4 100644 --- a/src/backend/langflow/api/v1/flows.py +++ b/src/backend/langflow/api/v1/flows.py @@ -1,24 +1,17 @@ +from datetime import datetime from typing import List from uuid import UUID -from fastapi.encoders import jsonable_encoder -from langflow.api.utils import remove_api_keys +import orjson +from fastapi import APIRouter, Depends, File, HTTPException, UploadFile +from fastapi.encoders import jsonable_encoder +from langflow.api.utils import remove_api_keys, validate_is_component from langflow.api.v1.schemas import FlowListCreate, FlowListRead from langflow.services.auth.utils import get_current_active_user -from langflow.services.database.models.flow import ( - Flow, - FlowCreate, - FlowRead, - FlowUpdate, -) -from langflow.services.database.models.user.user import User -from langflow.services.getters import get_session -from langflow.services.getters import get_settings_service -import orjson -from sqlmodel import Session -from fastapi import APIRouter, Depends, HTTPException - -from fastapi import File, UploadFile +from langflow.services.database.models.flow import Flow, FlowCreate, FlowRead, FlowUpdate +from langflow.services.database.models.user.model import User +from langflow.services.deps import get_session, get_settings_service +from sqlmodel import Session, select # build router router = APIRouter(prefix="/flows", tags=["Flows"]) @@ -35,7 +28,8 @@ def create_flow( if flow.user_id is None: flow.user_id = current_user.id - db_flow = Flow.from_orm(flow) + db_flow = Flow.model_validate(flow, from_attributes=True) + db_flow.updated_at = datetime.utcnow() session.add(db_flow) session.commit() @@ -46,12 +40,12 @@ def create_flow( @router.get("/", response_model=list[FlowRead], status_code=200) def read_flows( *, - session: Session = Depends(get_session), current_user: User = Depends(get_current_active_user), ): """Read all flows.""" try: flows = current_user.flows + flows = validate_is_component(flows) except Exception as e: raise HTTPException(status_code=500, detail=str(e)) from e return [jsonable_encoder(flow) for flow in flows] @@ -65,12 +59,7 @@ def read_flow( current_user: User = Depends(get_current_active_user), ): """Read a flow.""" - if user_flow := ( - session.query(Flow) - .filter(Flow.id == flow_id) - .filter(Flow.user_id == current_user.id) - .first() - ): + if user_flow := (session.exec(select(Flow).where(Flow.id == flow_id, Flow.user_id == current_user.id)).first()): return user_flow else: raise HTTPException(status_code=404, detail="Flow not found") @@ -90,12 +79,13 @@ def update_flow( db_flow = read_flow(session=session, flow_id=flow_id, current_user=current_user) if not db_flow: raise HTTPException(status_code=404, detail="Flow not found") - flow_data = flow.dict(exclude_unset=True) + flow_data = flow.model_dump(exclude_unset=True) if settings_service.settings.REMOVE_API_KEYS: flow_data = remove_api_keys(flow_data) for key, value in flow_data.items(): if value is not None: setattr(db_flow, key, value) + db_flow.updated_at = datetime.utcnow() session.add(db_flow) session.commit() session.refresh(db_flow) @@ -169,5 +159,5 @@ async def download_file( current_user: User = Depends(get_current_active_user), ): """Download all flows as a file.""" - flows = read_flows(session=session, current_user=current_user) + flows = read_flows(current_user=current_user) return FlowListRead(flows=flows) diff --git a/src/backend/langflow/api/v1/login.py b/src/backend/langflow/api/v1/login.py index 4dfc723b5..9021b40b6 100644 --- a/src/backend/langflow/api/v1/login.py +++ b/src/backend/langflow/api/v1/login.py @@ -1,18 +1,15 @@ -from sqlmodel import Session from fastapi import APIRouter, Depends, HTTPException, status from fastapi.security import OAuth2PasswordRequestForm +from sqlmodel import Session -from langflow.services.getters import get_session from langflow.api.v1.schemas import Token from langflow.services.auth.utils import ( authenticate_user, - create_user_tokens, create_refresh_token, create_user_longterm_token, - get_current_active_user, + create_user_tokens, ) - -from langflow.services.getters import get_settings_service +from langflow.services.deps import get_session, get_settings_service router = APIRouter(tags=["Login"]) @@ -44,9 +41,7 @@ async def login_to_get_access_token( @router.get("/auto_login") -async def auto_login( - db: Session = Depends(get_session), settings_service=Depends(get_settings_service) -): +async def auto_login(db: Session = Depends(get_session), settings_service=Depends(get_settings_service)): if settings_service.auth_settings.AUTO_LOGIN: return create_user_longterm_token(db) @@ -60,9 +55,7 @@ async def auto_login( @router.post("/refresh") -async def refresh_token( - token: str, current_user: Session = Depends(get_current_active_user) -): +async def refresh_token(token: str): if token: return create_refresh_token(token) else: diff --git a/src/backend/langflow/api/v1/schemas.py b/src/backend/langflow/api/v1/schemas.py index 54bd31659..2d3da1d21 100644 --- a/src/backend/langflow/api/v1/schemas.py +++ b/src/backend/langflow/api/v1/schemas.py @@ -2,11 +2,11 @@ from enum import Enum from pathlib import Path from typing import Any, Dict, List, Optional, Union from uuid import UUID -from langflow.services.database.models.api_key.api_key import ApiKeyRead + +from langflow.services.database.models.api_key.model import ApiKeyRead +from langflow.services.database.models.base import orjson_dumps from langflow.services.database.models.flow import FlowCreate, FlowRead from langflow.services.database.models.user import UserRead -from langflow.services.database.models.base import orjson_dumps - from pydantic import BaseModel, Field, field_validator @@ -151,13 +151,13 @@ class StreamData(BaseModel): data: dict def __str__(self) -> str: - return ( - f"event: {self.event}\ndata: {orjson_dumps(self.data, indent_2=False)}\n\n" - ) + return f"event: {self.event}\ndata: {orjson_dumps(self.data, indent_2=False)}\n\n" class CustomComponentCode(BaseModel): code: str + field: Optional[str] = None + template: Optional[dict] = None class CustomComponentResponseError(BaseModel): @@ -200,3 +200,7 @@ class Token(BaseModel): access_token: str refresh_token: str token_type: str + + +class ApiKeyCreateRequest(BaseModel): + api_key: str diff --git a/src/backend/langflow/api/v1/store.py b/src/backend/langflow/api/v1/store.py new file mode 100644 index 000000000..c9371ab16 --- /dev/null +++ b/src/backend/langflow/api/v1/store.py @@ -0,0 +1,233 @@ +import warnings +from typing import Annotated, List, Optional, Union +from uuid import UUID + +from fastapi import APIRouter, Depends, HTTPException, Query +from langflow.services.auth import utils as auth_utils +from langflow.services.database.models.user.model import User +from langflow.services.deps import get_settings_service, get_store_service +from langflow.services.store.exceptions import CustomException +from langflow.services.store.schema import ( + CreateComponentResponse, + DownloadComponentResponse, + ListComponentResponseModel, + StoreComponentCreate, + TagResponse, + UsersLikesResponse, +) +from langflow.services.store.service import StoreService +from langflow.services.store.utils import get_lf_version_from_pypi + +router = APIRouter(prefix="/store", tags=["Components Store"]) + + +def get_user_store_api_key( + user: User = Depends(auth_utils.get_current_active_user), + settings_service=Depends(get_settings_service), +): + if not user.store_api_key: + raise HTTPException(status_code=400, detail="You must have a store API key set.") + decrypted = auth_utils.decrypt_api_key(user.store_api_key, settings_service) + return decrypted + + +def get_optional_user_store_api_key( + user: User = Depends(auth_utils.get_current_active_user), + settings_service=Depends(get_settings_service), +): + if not user.store_api_key: + return None + decrypted = auth_utils.decrypt_api_key(user.store_api_key, settings_service) + return decrypted + + +@router.get("/check/") +def check_if_store_is_enabled( + settings_service=Depends(get_settings_service), +): + return { + "enabled": settings_service.settings.STORE, + } + + +@router.get("/check/api_key") +async def check_if_store_has_api_key( + api_key: Optional[str] = Depends(get_optional_user_store_api_key), + store_service: StoreService = Depends(get_store_service), +): + if api_key is None: + return {"has_api_key": False, "is_valid": False} + + try: + is_valid = await store_service.check_api_key(api_key) + except Exception as e: + raise HTTPException(status_code=400, detail=str(e)) + + return {"has_api_key": api_key is not None, "is_valid": is_valid} + + +@router.post("/components/", response_model=CreateComponentResponse, status_code=201) +async def share_component( + component: StoreComponentCreate, + store_service: StoreService = Depends(get_store_service), + store_api_Key: str = Depends(get_user_store_api_key), +): + try: + # Verify if this is the latest version of Langflow + # If not, raise an error + if not component.last_tested_version: + # Get the local version of Langflow + from langflow import __version__ as current_version + + component.last_tested_version = current_version + langflow_version = get_lf_version_from_pypi() + if langflow_version is None: + raise HTTPException( + status_code=500, + detail="Unable to verify the latest version of Langflow", + ) + elif langflow_version != component.last_tested_version: + # If the user is using an older version of Langflow, we need to raise an error + # raise ValueError( + warnings.warn( + f"Your version of Langflow ({component.last_tested_version}) is outdated." + f" Please update to the latest version ({langflow_version}) and try again." + ) + + result = await store_service.upload(store_api_Key, component) + return result + except Exception as exc: + raise HTTPException(status_code=400, detail=str(exc)) + + +@router.patch("/components/{component_id}", response_model=CreateComponentResponse, status_code=201) +async def update_component( + component_id: UUID, + component: StoreComponentCreate, + store_service: StoreService = Depends(get_store_service), + store_api_Key: str = Depends(get_user_store_api_key), +): + try: + # Verify if this is the latest version of Langflow + # If not, raise an error + if not component.last_tested_version: + # Get the local version of Langflow + from langflow import __version__ as current_version + + component.last_tested_version = current_version + langflow_version = get_lf_version_from_pypi() + if langflow_version is None: + raise HTTPException( + status_code=500, + detail="Unable to verify the latest version of Langflow", + ) + elif langflow_version != component.last_tested_version: + # If the user is using an older version of Langflow, we need to raise an error + # raise ValueError( + warnings.warn( + f"Your version of Langflow ({component.last_tested_version}) is outdated." + f" Please update to the latest version ({langflow_version}) and try again." + ) + + result = await store_service.update(store_api_Key, component_id, component) + return result + except Exception as exc: + raise HTTPException(status_code=400, detail=str(exc)) + + +@router.get("/components/", response_model=ListComponentResponseModel) +async def get_components( + component_id: Annotated[Optional[str], Query()] = None, + search: Annotated[Optional[str], Query()] = None, + private: Annotated[Optional[bool], Query()] = None, + is_component: Annotated[Optional[bool], Query()] = None, + tags: Annotated[Optional[list[str]], Query()] = None, + sort: Annotated[Union[list[str], None], Query()] = None, + liked: Annotated[bool, Query()] = False, + filter_by_user: Annotated[bool, Query()] = False, + fields: Annotated[Optional[list[str]], Query()] = None, + page: int = 1, + limit: int = 10, + store_service: StoreService = Depends(get_store_service), + store_api_Key: Optional[str] = Depends(get_optional_user_store_api_key), +): + try: + return await store_service.get_list_component_response_model( + component_id=component_id, + search=search, + private=private, + is_component=is_component, + fields=fields, + tags=tags, + sort=sort, + liked=liked, + filter_by_user=filter_by_user, + page=page, + limit=limit, + store_api_key=store_api_Key, + ) + except CustomException as exc: + raise HTTPException(status_code=exc.status_code, detail=str(exc)) from exc + except Exception as exc: + raise HTTPException(status_code=500, detail=str(exc)) from exc + + +@router.get("/components/{component_id}", response_model=DownloadComponentResponse) +async def download_component( + component_id: UUID, + store_service: StoreService = Depends(get_store_service), + store_api_Key: str = Depends(get_user_store_api_key), +): + try: + component = await store_service.download(store_api_Key, component_id) + except CustomException as exc: + raise HTTPException(status_code=400, detail=str(exc)) from exc + except Exception as exc: + raise HTTPException(status_code=500, detail=str(exc)) from exc + + if component is None: + raise HTTPException(status_code=400, detail="Component not found") + + return component + + +@router.get("/tags", response_model=List[TagResponse]) +async def get_tags( + store_service: StoreService = Depends(get_store_service), +): + try: + return await store_service.get_tags() + except CustomException as exc: + raise HTTPException(status_code=400, detail=str(exc)) from exc + except Exception as exc: + raise HTTPException(status_code=500, detail=str(exc)) + + +@router.get("/users/likes", response_model=List[UsersLikesResponse]) +async def get_list_of_components_liked_by_user( + store_service: StoreService = Depends(get_store_service), + store_api_Key: str = Depends(get_user_store_api_key), +): + try: + return await store_service.get_user_likes(store_api_Key) + except CustomException as exc: + raise HTTPException(status_code=400, detail=str(exc)) from exc + except Exception as exc: + raise HTTPException(status_code=500, detail=str(exc)) + + +@router.post("/users/likes/{component_id}", response_model=UsersLikesResponse) +async def like_component( + component_id: UUID, + store_service: StoreService = Depends(get_store_service), + store_api_Key: str = Depends(get_user_store_api_key), +): + try: + result = await store_service.like_component(store_api_Key, str(component_id)) + likes_count = await store_service.get_component_likes_count(str(component_id), store_api_Key) + + return UsersLikesResponse(likes_count=likes_count, liked_by_user=result) + except CustomException as exc: + raise HTTPException(status_code=exc.status_code, detail=str(exc)) from exc + except Exception as exc: + raise HTTPException(status_code=500, detail=str(exc)) diff --git a/src/backend/langflow/api/v1/users.py b/src/backend/langflow/api/v1/users.py index 73c7346d9..9d4c3f32e 100644 --- a/src/backend/langflow/api/v1/users.py +++ b/src/backend/langflow/api/v1/users.py @@ -1,29 +1,20 @@ from uuid import UUID -from langflow.api.v1.schemas import UsersResponse -from langflow.services.database.models.user import ( - User, - UserCreate, - UserRead, - UserUpdate, -) -from sqlalchemy import func -from sqlalchemy.exc import IntegrityError - -from sqlmodel import Session, select from fastapi import APIRouter, Depends, HTTPException - -from langflow.services.getters import get_session, get_settings_service +from langflow.api.v1.schemas import UsersResponse from langflow.services.auth.utils import ( get_current_active_superuser, get_current_active_user, get_password_hash, verify_password, ) -from langflow.services.database.models.user.crud import ( - get_user_by_id, - update_user, -) +from langflow.services.database.models.user import User, UserCreate, UserRead, UserUpdate +from langflow.services.database.models.user.crud import get_user_by_id, update_user +from langflow.services.deps import get_session, get_settings_service +from sqlalchemy import func +from sqlalchemy.exc import IntegrityError +from sqlmodel import Session, select +from sqlmodel.sql.expression import SelectOfScalar router = APIRouter(tags=["Users"], prefix="/users") @@ -46,9 +37,7 @@ def add_user( session.refresh(new_user) except IntegrityError as e: session.rollback() - raise HTTPException( - status_code=400, detail="This username is unavailable." - ) from e + raise HTTPException(status_code=400, detail="This username is unavailable.") from e return new_user @@ -73,15 +62,15 @@ def read_all_users( """ Retrieve a list of users from the database with pagination. """ - query = select(User).offset(skip).limit(limit) - users = session.execute(query).fetchall() + query: SelectOfScalar = select(User).offset(skip).limit(limit) + users = session.exec(query).fetchall() count_query = select(func.count()).select_from(User) # type: ignore - total_count = session.execute(count_query).scalar() + total_count = session.exec(count_query).first() return UsersResponse( total_count=total_count, # type: ignore - users=[UserRead(**dict(user.User)) for user in users], + users=[UserRead(**user.model_dump()) for user in users], ) @@ -96,14 +85,10 @@ def patch_user( Update an existing user's data. """ if not user.is_superuser and user.id != user_id: - raise HTTPException( - status_code=403, detail="You don't have the permission to update this user" - ) + raise HTTPException(status_code=403, detail="You don't have the permission to update this user") if user_update.password: if not user.is_superuser: - raise HTTPException( - status_code=400, detail="You can't change your password here" - ) + raise HTTPException(status_code=400, detail="You can't change your password here") user_update.password = get_password_hash(user_update.password) if user_db := get_user_by_id(session, user_id): @@ -123,16 +108,12 @@ def reset_password( Reset a user's password. """ if user_id != user.id: - raise HTTPException( - status_code=400, detail="You can't change another user's password" - ) + raise HTTPException(status_code=400, detail="You can't change another user's password") if not user: raise HTTPException(status_code=404, detail="User not found") if verify_password(user_update.password, user.password): - raise HTTPException( - status_code=400, detail="You can't use your current password" - ) + raise HTTPException(status_code=400, detail="You can't use your current password") new_password = get_password_hash(user_update.password) user.password = new_password session.commit() @@ -151,15 +132,11 @@ def delete_user( Delete a user from the database. """ if current_user.id == user_id: - raise HTTPException( - status_code=400, detail="You can't delete your own user account" - ) + raise HTTPException(status_code=400, detail="You can't delete your own user account") elif not current_user.is_superuser: - raise HTTPException( - status_code=403, detail="You don't have the permission to delete this user" - ) + raise HTTPException(status_code=403, detail="You don't have the permission to delete this user") - user_db = session.query(User).filter(User.id == user_id).first() + user_db = session.exec(select(User).where(User.id == user_id)).first() if not user_db: raise HTTPException(status_code=404, detail="User not found") diff --git a/src/backend/langflow/api/v1/validate.py b/src/backend/langflow/api/v1/validate.py index 65fb66bd2..51d0f0d76 100644 --- a/src/backend/langflow/api/v1/validate.py +++ b/src/backend/langflow/api/v1/validate.py @@ -1,15 +1,14 @@ from fastapi import APIRouter, HTTPException - from langflow.api.v1.base import ( Code, CodeValidationResponse, - ValidatePromptRequest, PromptValidationResponse, + ValidatePromptRequest, validate_prompt, ) from langflow.template.field.base import TemplateField -from loguru import logger from langflow.utils.validate import validate_code +from loguru import logger # build router router = APIRouter(prefix="/validate", tags=["Validate"]) @@ -41,9 +40,7 @@ def post_validate_prompt(prompt_request: ValidatePromptRequest): add_new_variables_to_template(input_variables, prompt_request) - remove_old_variables_from_template( - old_custom_fields, input_variables, prompt_request - ) + remove_old_variables_from_template(old_custom_fields, input_variables, prompt_request) update_input_variables_field(input_variables, prompt_request) @@ -58,19 +55,16 @@ def post_validate_prompt(prompt_request: ValidatePromptRequest): def get_old_custom_fields(prompt_request): try: - if ( - len(prompt_request.frontend_node.custom_fields) == 1 - and prompt_request.name == "" - ): + if len(prompt_request.frontend_node.custom_fields) == 1 and prompt_request.name == "": # If there is only one custom field and the name is empty string # then we are dealing with the first prompt request after the node was created - prompt_request.name = list( - prompt_request.frontend_node.custom_fields.keys() - )[0] + prompt_request.name = list(prompt_request.frontend_node.custom_fields.keys())[0] - old_custom_fields = prompt_request.frontend_node.custom_fields[ - prompt_request.name - ].copy() + old_custom_fields = prompt_request.frontend_node.custom_fields[prompt_request.name] + if old_custom_fields is None: + old_custom_fields = [] + + old_custom_fields = old_custom_fields.copy() except KeyError: old_custom_fields = [] prompt_request.frontend_node.custom_fields[prompt_request.name] = [] @@ -92,40 +86,26 @@ def add_new_variables_to_template(input_variables, prompt_request): ) if variable in prompt_request.frontend_node.template: # Set the new field with the old value - template_field.value = prompt_request.frontend_node.template[variable][ - "value" - ] + template_field.value = prompt_request.frontend_node.template[variable]["value"] prompt_request.frontend_node.template[variable] = template_field.to_dict() # Check if variable is not already in the list before appending - if ( - variable - not in prompt_request.frontend_node.custom_fields[prompt_request.name] - ): - prompt_request.frontend_node.custom_fields[prompt_request.name].append( - variable - ) + if variable not in prompt_request.frontend_node.custom_fields[prompt_request.name]: + prompt_request.frontend_node.custom_fields[prompt_request.name].append(variable) except Exception as exc: logger.exception(exc) raise HTTPException(status_code=500, detail=str(exc)) from exc -def remove_old_variables_from_template( - old_custom_fields, input_variables, prompt_request -): +def remove_old_variables_from_template(old_custom_fields, input_variables, prompt_request): for variable in old_custom_fields: if variable not in input_variables: try: # Remove the variable from custom_fields associated with the given name - if ( - variable - in prompt_request.frontend_node.custom_fields[prompt_request.name] - ): - prompt_request.frontend_node.custom_fields[ - prompt_request.name - ].remove(variable) + if variable in prompt_request.frontend_node.custom_fields[prompt_request.name]: + prompt_request.frontend_node.custom_fields[prompt_request.name].remove(variable) # Remove the variable from the template prompt_request.frontend_node.template.pop(variable, None) @@ -137,6 +117,4 @@ def remove_old_variables_from_template( def update_input_variables_field(input_variables, prompt_request): if "input_variables" in prompt_request.frontend_node.template: - prompt_request.frontend_node.template["input_variables"][ - "value" - ] = input_variables + prompt_request.frontend_node.template["input_variables"]["value"] = input_variables diff --git a/src/backend/langflow/components/agents/AgentInitializer.py b/src/backend/langflow/components/agents/AgentInitializer.py new file mode 100644 index 000000000..2e8a9de2f --- /dev/null +++ b/src/backend/langflow/components/agents/AgentInitializer.py @@ -0,0 +1,37 @@ +from typing import Callable, List, Union + +from langchain.agents import AgentExecutor, AgentType, initialize_agent, types + +from langflow import CustomComponent +from langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool + + +class AgentInitializerComponent(CustomComponent): + display_name: str = "Agent Initializer" + description: str = "Initialize a Langchain Agent." + documentation: str = "https://python.langchain.com/docs/modules/agents/agent_types/" + + def build_config(self): + agents = list(types.AGENT_TO_CLASS.keys()) + # field_type and required are optional + return { + "agent": {"options": agents, "value": agents[0], "display_name": "Agent Type"}, + "max_iterations": {"display_name": "Max Iterations", "value": 10}, + "memory": {"display_name": "Memory"}, + "tools": {"display_name": "Tools"}, + "llm": {"display_name": "Language Model"}, + } + + def build( + self, agent: str, llm: BaseLanguageModel, memory: BaseChatMemory, tools: List[Tool], max_iterations: int + ) -> Union[AgentExecutor, Callable]: + agent = AgentType(agent) + return initialize_agent( + tools=tools, + llm=llm, + agent=agent, + memory=memory, + return_intermediate_steps=True, + handle_parsing_errors=True, + max_iterations=max_iterations, + ) diff --git a/src/backend/langflow/components/agents/OpenAIConversationalAgent.py b/src/backend/langflow/components/agents/OpenAIConversationalAgent.py index 2df026b59..499775747 100644 --- a/src/backend/langflow/components/agents/OpenAIConversationalAgent.py +++ b/src/backend/langflow/components/agents/OpenAIConversationalAgent.py @@ -1,17 +1,15 @@ -from langflow import CustomComponent -from typing import Optional -from langchain.prompts import SystemMessagePromptTemplate -from langchain.tools import Tool -from langchain.schema.memory import BaseMemory -from langchain.chat_models import ChatOpenAI +from typing import List, Optional from langchain.agents.agent import AgentExecutor +from langchain.agents.agent_toolkits.conversational_retrieval.openai_functions import _get_default_system_message from langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent +from langchain.chat_models import ChatOpenAI from langchain.memory.token_buffer import ConversationTokenBufferMemory +from langchain.prompts import SystemMessagePromptTemplate from langchain.prompts.chat import MessagesPlaceholder -from langchain.agents.agent_toolkits.conversational_retrieval.openai_functions import ( - _get_default_system_message, -) +from langchain.schema.memory import BaseMemory +from langchain.tools import Tool +from langflow import CustomComponent class ConversationalAgent(CustomComponent): @@ -27,7 +25,7 @@ class ConversationalAgent(CustomComponent): "gpt-4-32k", ] return { - "tools": {"is_list": True, "display_name": "Tools"}, + "tools": {"display_name": "Tools"}, "memory": {"display_name": "Memory"}, "system_message": {"display_name": "System Message"}, "max_token_limit": {"display_name": "Max Token Limit"}, @@ -43,7 +41,7 @@ class ConversationalAgent(CustomComponent): self, model_name: str, openai_api_key: str, - tools: Tool, + tools: List[Tool], openai_api_base: Optional[str] = None, memory: Optional[BaseMemory] = None, system_message: Optional[SystemMessagePromptTemplate] = None, @@ -51,8 +49,8 @@ class ConversationalAgent(CustomComponent): ) -> AgentExecutor: llm = ChatOpenAI( model=model_name, - openai_api_key=openai_api_key, - openai_api_base=openai_api_base, + api_key=openai_api_key, + base_url=openai_api_base, ) if not memory: memory_key = "chat_history" @@ -72,7 +70,9 @@ class ConversationalAgent(CustomComponent): extra_prompt_messages=[MessagesPlaceholder(variable_name=memory_key)], ) agent = OpenAIFunctionsAgent( - llm=llm, tools=tools, prompt=prompt # type: ignore + llm=llm, + tools=tools, + prompt=prompt, # type: ignore ) return AgentExecutor( agent=agent, diff --git a/src/backend/langflow/components/chains/LLMChain.py b/src/backend/langflow/components/chains/LLMChain.py index b14eef302..ec88e128a 100644 --- a/src/backend/langflow/components/chains/LLMChain.py +++ b/src/backend/langflow/components/chains/LLMChain.py @@ -1,10 +1,12 @@ -from langflow import CustomComponent +from typing import Callable, Optional, Union + from langchain.chains import LLMChain -from typing import Optional, Union, Callable + +from langflow import CustomComponent from langflow.field_typing import ( - BasePromptTemplate, BaseLanguageModel, BaseMemory, + BasePromptTemplate, Chain, ) diff --git a/src/backend/langflow/components/chains/PromptRunner.py b/src/backend/langflow/components/chains/PromptRunner.py index 15c2743a0..496be610e 100644 --- a/src/backend/langflow/components/chains/PromptRunner.py +++ b/src/backend/langflow/components/chains/PromptRunner.py @@ -18,9 +18,7 @@ class PromptRunner(CustomComponent): "code": {"show": False}, } - def build( - self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {} - ) -> Document: + def build(self, llm: BaseLLM, prompt: PromptTemplate, inputs: dict = {}) -> Document: chain = prompt | llm # The input is an empty dict because the prompt is already filled result = chain.invoke(input=inputs) diff --git a/src/backend/langflow/components/custom_components/CustomComponent.py b/src/backend/langflow/components/custom_components/CustomComponent.py new file mode 100644 index 000000000..35a6036dd --- /dev/null +++ b/src/backend/langflow/components/custom_components/CustomComponent.py @@ -0,0 +1,14 @@ +from langflow import CustomComponent +from langflow.field_typing import Data + + +class Component(CustomComponent): + display_name: str = "Custom Component" + description: str = "Create any custom component you want!" + documentation: str = "http://docs.langflow.org/components/custom" + + def build_config(self): + return {"param": {"display_name": "Parameter"}} + + def build(self, param: Data) -> Data: + return param diff --git a/src/backend/langflow/components/custom_components/__init__.py b/src/backend/langflow/components/custom_components/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/backend/langflow/components/documentloaders/FileLoader.py b/src/backend/langflow/components/documentloaders/FileLoader.py index 04f43d60b..eea401b83 100644 --- a/src/backend/langflow/components/documentloaders/FileLoader.py +++ b/src/backend/langflow/components/documentloaders/FileLoader.py @@ -1,119 +1,7 @@ -from langflow import CustomComponent from langchain.schema import Document -from typing import Any, Dict, List -loaders_info: List[Dict[str, Any]] = [ - { - "loader": "AirbyteJSONLoader", - "name": "Airbyte JSON (.jsonl)", - "import": "langchain.document_loaders.AirbyteJSONLoader", - "defaultFor": ["jsonl"], - "allowdTypes": ["jsonl"], - }, - { - "loader": "JSONLoader", - "name": "JSON (.json)", - "import": "langchain.document_loaders.JSONLoader", - "defaultFor": ["json"], - "allowdTypes": ["json"], - }, - { - "loader": "BSHTMLLoader", - "name": "BeautifulSoup4 HTML (.html, .htm)", - "import": "langchain.document_loaders.BSHTMLLoader", - "allowdTypes": ["html", "htm"], - }, - { - "loader": "CSVLoader", - "name": "CSV (.csv)", - "import": "langchain.document_loaders.CSVLoader", - "defaultFor": ["csv"], - "allowdTypes": ["csv"], - }, - { - "loader": "CoNLLULoader", - "name": "CoNLL-U (.conllu)", - "import": "langchain.document_loaders.CoNLLULoader", - "defaultFor": ["conllu"], - "allowdTypes": ["conllu"], - }, - { - "loader": "EverNoteLoader", - "name": "EverNote (.enex)", - "import": "langchain.document_loaders.EverNoteLoader", - "defaultFor": ["enex"], - "allowdTypes": ["enex"], - }, - { - "loader": "FacebookChatLoader", - "name": "Facebook Chat (.json)", - "import": "langchain.document_loaders.FacebookChatLoader", - "allowdTypes": ["json"], - }, - { - "loader": "OutlookMessageLoader", - "name": "Outlook Message (.msg)", - "import": "langchain.document_loaders.OutlookMessageLoader", - "defaultFor": ["msg"], - "allowdTypes": ["msg"], - }, - { - "loader": "PyPDFLoader", - "name": "PyPDF (.pdf)", - "import": "langchain.document_loaders.PyPDFLoader", - "defaultFor": ["pdf"], - "allowdTypes": ["pdf"], - }, - { - "loader": "STRLoader", - "name": "Subtitle (.str)", - "import": "langchain.document_loaders.STRLoader", - "defaultFor": ["str"], - "allowdTypes": ["str"], - }, - { - "loader": "TextLoader", - "name": "Text (.txt)", - "import": "langchain.document_loaders.TextLoader", - "defaultFor": ["txt"], - "allowdTypes": ["txt"], - }, - { - "loader": "UnstructuredEmailLoader", - "name": "Unstructured Email (.eml)", - "import": "langchain.document_loaders.UnstructuredEmailLoader", - "defaultFor": ["eml"], - "allowdTypes": ["eml"], - }, - { - "loader": "UnstructuredHTMLLoader", - "name": "Unstructured HTML (.html, .htm)", - "import": "langchain.document_loaders.UnstructuredHTMLLoader", - "defaultFor": ["html", "htm"], - "allowdTypes": ["html", "htm"], - }, - { - "loader": "UnstructuredMarkdownLoader", - "name": "Unstructured Markdown (.md)", - "import": "langchain.document_loaders.UnstructuredMarkdownLoader", - "defaultFor": ["md"], - "allowdTypes": ["md"], - }, - { - "loader": "UnstructuredPowerPointLoader", - "name": "Unstructured PowerPoint (.pptx)", - "import": "langchain.document_loaders.UnstructuredPowerPointLoader", - "defaultFor": ["pptx"], - "allowdTypes": ["pptx"], - }, - { - "loader": "UnstructuredWordLoader", - "name": "Unstructured Word (.docx)", - "import": "langchain.document_loaders.UnstructuredWordLoader", - "defaultFor": ["docx"], - "allowdTypes": ["docx"], - }, -] +from langflow import CustomComponent +from langflow.utils.constants import LOADERS_INFO class FileLoaderComponent(CustomComponent): @@ -122,14 +10,12 @@ class FileLoaderComponent(CustomComponent): beta = True def build_config(self): - loader_options = ["Automatic"] + [ - loader_info["name"] for loader_info in loaders_info - ] + loader_options = ["Automatic"] + [loader_info["name"] for loader_info in LOADERS_INFO] file_types = [] suffixes = [] - for loader_info in loaders_info: + for loader_info in LOADERS_INFO: if "allowedTypes" in loader_info: file_types.extend(loader_info["allowedTypes"]) suffixes.extend([f".{ext}" for ext in loader_info["allowedTypes"]]) @@ -191,7 +77,7 @@ class FileLoaderComponent(CustomComponent): # Mapeie o nome do loader selecionado para suas informações selected_loader_info = None - for loader_info in loaders_info: + for loader_info in LOADERS_INFO: if loader_info["name"] == loader: selected_loader_info = loader_info break @@ -202,7 +88,7 @@ class FileLoaderComponent(CustomComponent): if loader == "Automatic": # Determine o loader automaticamente com base na extensão do arquivo default_loader_info = None - for info in loaders_info: + for info in LOADERS_INFO: if "defaultFor" in info and file_type in info["defaultFor"]: default_loader_info = info break @@ -214,9 +100,7 @@ class FileLoaderComponent(CustomComponent): if isinstance(selected_loader_info, dict): loader_import: str = selected_loader_info["import"] else: - raise ValueError( - f"Loader info for {loader} is not a dict\nLoader info:\n{selected_loader_info}" - ) + raise ValueError(f"Loader info for {loader} is not a dict\nLoader info:\n{selected_loader_info}") module_name, class_name = loader_import.rsplit(".", 1) try: @@ -224,9 +108,7 @@ class FileLoaderComponent(CustomComponent): loader_module = __import__(module_name, fromlist=[class_name]) loader_instance = getattr(loader_module, class_name) except ImportError as e: - raise ValueError( - f"Loader {loader} could not be imported\nLoader info:\n{selected_loader_info}" - ) from e + raise ValueError(f"Loader {loader} could not be imported\nLoader info:\n{selected_loader_info}") from e result = loader_instance(file_path=file_path) return result.load() diff --git a/src/backend/langflow/components/documentloaders/UrlLoader.py b/src/backend/langflow/components/documentloaders/UrlLoader.py index 94004e545..f9c4363f0 100644 --- a/src/backend/langflow/components/documentloaders/UrlLoader.py +++ b/src/backend/langflow/components/documentloaders/UrlLoader.py @@ -1,15 +1,8 @@ from typing import List -from langflow import CustomComponent -from langchain.document_loaders import AZLyricsLoader -from langchain.document_loaders import CollegeConfidentialLoader -from langchain.document_loaders import GitbookLoader -from langchain.document_loaders import HNLoader -from langchain.document_loaders import IFixitLoader -from langchain.document_loaders import IMSDbLoader -from langchain.document_loaders import WebBaseLoader - +from langchain import document_loaders from langchain.schema import Document +from langflow import CustomComponent class UrlLoaderComponent(CustomComponent): @@ -41,22 +34,13 @@ class UrlLoaderComponent(CustomComponent): } def build(self, web_path: str, loader: str) -> List[Document]: - if loader == "AZLyricsLoader": - loader_instance = AZLyricsLoader(web_path=web_path) # type: ignore - elif loader == "CollegeConfidentialLoader": - loader_instance = CollegeConfidentialLoader(web_path=web_path) # type: ignore - elif loader == "GitbookLoader": - loader_instance = GitbookLoader(web_page=web_path) # type: ignore - elif loader == "HNLoader": - loader_instance = HNLoader(web_path=web_path) # type: ignore - elif loader == "IFixitLoader": - loader_instance = IFixitLoader(web_path=web_path) # type: ignore - elif loader == "IMSDbLoader": - loader_instance = IMSDbLoader(web_path=web_path) # type: ignore - elif loader == "WebBaseLoader": - loader_instance = WebBaseLoader(web_path=web_path) # type: ignore - - if loader_instance is None: - raise ValueError(f"No loader found for: {web_path}") - - return loader_instance.load() + try: + loader_instance = getattr(document_loaders, loader)(web_path=web_path) + except Exception as e: + raise ValueError(f"No loader found for: {web_path}") from e + docs = loader_instance.load() + avg_length = sum(len(doc.page_content) for doc in docs if hasattr(doc, "page_content")) / len(docs) + self.status = f"""{len(docs)} documents) + \nAvg. Document Length (characters): {int(avg_length)} + Documents: {docs[:3]}...""" + return docs diff --git a/src/backend/langflow/components/embeddings/AmazonBedrockEmbeddings.py b/src/backend/langflow/components/embeddings/AmazonBedrockEmbeddings.py index 6efa22961..450e5ee3b 100644 --- a/src/backend/langflow/components/embeddings/AmazonBedrockEmbeddings.py +++ b/src/backend/langflow/components/embeddings/AmazonBedrockEmbeddings.py @@ -1,8 +1,8 @@ from typing import Optional -from langflow import CustomComponent from langchain.embeddings import BedrockEmbeddings from langchain.embeddings.base import Embeddings +from langflow import CustomComponent class AmazonBedrockEmeddingsComponent(CustomComponent): diff --git a/src/backend/langflow/components/llms/AnthropicLLM.py b/src/backend/langflow/components/llms/AnthropicLLM.py index 1f75ba39f..2b9c758e5 100644 --- a/src/backend/langflow/components/llms/AnthropicLLM.py +++ b/src/backend/langflow/components/llms/AnthropicLLM.py @@ -1,7 +1,10 @@ from typing import Optional -from langflow import CustomComponent + from langchain.chat_models.anthropic import ChatAnthropic -from langchain.llms.base import BaseLLM +from langchain.llms.base import BaseLanguageModel +from pydantic.v1 import SecretStr + +from langflow import CustomComponent class AnthropicLLM(CustomComponent): @@ -16,7 +19,7 @@ class AnthropicLLM(CustomComponent): "claude-2.1", "claude-2.0", "claude-instant-1.2", - "claude-instant-1" + "claude-instant-1", # Add more models as needed ], "info": "https://python.langchain.com/docs/integrations/chat/anthropic", @@ -53,16 +56,16 @@ class AnthropicLLM(CustomComponent): max_tokens: Optional[int] = None, temperature: Optional[float] = None, api_endpoint: Optional[str] = None, - ) -> BaseLLM: + ) -> BaseLanguageModel: # Set default API endpoint if not provided if not api_endpoint: api_endpoint = "https://api.anthropic.com" try: output = ChatAnthropic( - model=model, - anthropic_api_key=anthropic_api_key, - max_tokens_to_sample=max_tokens, + model_name=model, + anthropic_api_key=SecretStr(anthropic_api_key) if anthropic_api_key else None, + max_tokens_to_sample=max_tokens, # type: ignore temperature=temperature, anthropic_api_url=api_endpoint, ) diff --git a/src/backend/langflow/components/retrievers/MetalRetriever.py b/src/backend/langflow/components/retrievers/MetalRetriever.py index b105cd24f..88393f26d 100644 --- a/src/backend/langflow/components/retrievers/MetalRetriever.py +++ b/src/backend/langflow/components/retrievers/MetalRetriever.py @@ -18,9 +18,7 @@ class MetalRetrieverComponent(CustomComponent): "code": {"show": False}, } - def build( - self, api_key: str, client_id: str, index_id: str, params: Optional[dict] = None - ) -> BaseRetriever: + def build(self, api_key: str, client_id: str, index_id: str, params: Optional[dict] = None) -> BaseRetriever: try: metal = Metal(api_key=api_key, client_id=client_id, index_id=index_id) except Exception as e: diff --git a/src/backend/langflow/components/toolkits/Metaphor.py b/src/backend/langflow/components/toolkits/Metaphor.py index 558224190..0f9f23334 100644 --- a/src/backend/langflow/components/toolkits/Metaphor.py +++ b/src/backend/langflow/components/toolkits/Metaphor.py @@ -1,18 +1,17 @@ from typing import List, Union -from langflow import CustomComponent -from metaphor_python import Metaphor # type: ignore -from langchain.tools import Tool from langchain.agents import tool from langchain.agents.agent_toolkits.base import BaseToolkit +from langchain.tools import Tool +from metaphor_python import Metaphor # type: ignore + +from langflow import CustomComponent class MetaphorToolkit(CustomComponent): display_name: str = "Metaphor" description: str = "Metaphor Toolkit" - documentation = ( - "https://python.langchain.com/docs/integrations/tools/metaphor_search" - ) + documentation = "https://python.langchain.com/docs/integrations/tools/metaphor_search" beta: bool = True # api key should be password = True field_config = { @@ -33,9 +32,7 @@ class MetaphorToolkit(CustomComponent): @tool def search(query: str): """Call search engine with a query.""" - return client.search( - query, use_autoprompt=use_autoprompt, num_results=search_num_results - ) + return client.search(query, use_autoprompt=use_autoprompt, num_results=search_num_results) @tool def get_contents(ids: List[str]): diff --git a/src/backend/langflow/components/utilities/GetRequest.py b/src/backend/langflow/components/utilities/GetRequest.py index 1417a79c5..627d0804a 100644 --- a/src/backend/langflow/components/utilities/GetRequest.py +++ b/src/backend/langflow/components/utilities/GetRequest.py @@ -30,9 +30,7 @@ class GetRequest(CustomComponent): }, } - def get_document( - self, session: requests.Session, url: str, headers: Optional[dict], timeout: int - ) -> Document: + def get_document(self, session: requests.Session, url: str, headers: Optional[dict], timeout: int) -> Document: try: response = session.get(url, headers=headers, timeout=int(timeout)) try: diff --git a/src/backend/langflow/components/utilities/JSONDocumentBuilder.py b/src/backend/langflow/components/utilities/JSONDocumentBuilder.py index 2a166aa4a..b5f3b1263 100644 --- a/src/backend/langflow/components/utilities/JSONDocumentBuilder.py +++ b/src/backend/langflow/components/utilities/JSONDocumentBuilder.py @@ -11,8 +11,8 @@ # - **Document:** The Document containing the JSON object. -from langflow import CustomComponent from langchain.schema import Document +from langflow import CustomComponent from langflow.services.database.models.base import orjson_dumps @@ -20,10 +20,8 @@ class JSONDocumentBuilder(CustomComponent): display_name: str = "JSON Document Builder" description: str = "Build a Document containing a JSON object using a key and another Document page content." output_types: list[str] = ["Document"] - beta: bool = True - documentation: str = ( - "https://docs.langflow.org/components/utilities#json-document-builder" - ) + beta = True + documentation: str = "https://docs.langflow.org/components/utilities#json-document-builder" field_config = { "key": {"display_name": "Key"}, @@ -38,18 +36,11 @@ class JSONDocumentBuilder(CustomComponent): documents = None if isinstance(document, list): documents = [ - Document( - page_content=orjson_dumps({key: doc.page_content}, indent_2=False) - ) - for doc in document + Document(page_content=orjson_dumps({key: doc.page_content}, indent_2=False)) for doc in document ] elif isinstance(document, Document): - documents = Document( - page_content=orjson_dumps({key: document.page_content}, indent_2=False) - ) + documents = Document(page_content=orjson_dumps({key: document.page_content}, indent_2=False)) else: - raise TypeError( - f"Expected Document or list of Documents, got {type(document)}" - ) + raise TypeError(f"Expected Document or list of Documents, got {type(document)}") self.repr_value = documents return documents diff --git a/src/backend/langflow/components/utilities/PostRequest.py b/src/backend/langflow/components/utilities/PostRequest.py index fc61618ba..cbecac535 100644 --- a/src/backend/langflow/components/utilities/PostRequest.py +++ b/src/backend/langflow/components/utilities/PostRequest.py @@ -65,16 +65,12 @@ class PostRequest(CustomComponent): if not isinstance(document, list) and isinstance(document, Document): documents: list[Document] = [document] - elif isinstance(document, list) and all( - isinstance(doc, Document) for doc in document - ): + elif isinstance(document, list) and all(isinstance(doc, Document) for doc in document): documents = document else: raise ValueError("document must be a Document or a list of Documents") with requests.Session() as session: - documents = [ - self.post_document(session, doc, url, headers) for doc in documents - ] + documents = [self.post_document(session, doc, url, headers) for doc in documents] self.repr_value = documents return documents diff --git a/src/backend/langflow/components/utilities/UpdateRequest.py b/src/backend/langflow/components/utilities/UpdateRequest.py index 2e0e82b2a..1e6355b2c 100644 --- a/src/backend/langflow/components/utilities/UpdateRequest.py +++ b/src/backend/langflow/components/utilities/UpdateRequest.py @@ -39,9 +39,7 @@ class UpdateRequest(CustomComponent): ) -> Document: try: if method == "PATCH": - response = session.patch( - url, headers=headers, data=document.page_content - ) + response = session.patch(url, headers=headers, data=document.page_content) elif method == "PUT": response = session.put(url, headers=headers, data=document.page_content) else: @@ -78,17 +76,12 @@ class UpdateRequest(CustomComponent): if not isinstance(document, list) and isinstance(document, Document): documents: list[Document] = [document] - elif isinstance(document, list) and all( - isinstance(doc, Document) for doc in document - ): + elif isinstance(document, list) and all(isinstance(doc, Document) for doc in document): documents = document else: raise ValueError("document must be a Document or a list of Documents") with requests.Session() as session: - documents = [ - self.update_document(session, doc, url, headers, method) - for doc in documents - ] + documents = [self.update_document(session, doc, url, headers, method) for doc in documents] self.repr_value = documents return documents diff --git a/src/backend/langflow/components/vectorstores/Chroma.py b/src/backend/langflow/components/vectorstores/Chroma.py index a94c3c0a7..dd65e26c8 100644 --- a/src/backend/langflow/components/vectorstores/Chroma.py +++ b/src/backend/langflow/components/vectorstores/Chroma.py @@ -86,8 +86,7 @@ class ChromaComponent(CustomComponent): if chroma_server_host is not None: chroma_settings = chromadb.config.Settings( - chroma_server_cors_allow_origins=chroma_server_cors_allow_origins - or None, + chroma_server_cors_allow_origins=chroma_server_cors_allow_origins or None, chroma_server_host=chroma_server_host, chroma_server_port=chroma_server_port or None, chroma_server_grpc_port=chroma_server_grpc_port or None, @@ -104,6 +103,4 @@ class ChromaComponent(CustomComponent): client_settings=chroma_settings, ) - return Chroma( - persist_directory=persist_directory, client_settings=chroma_settings - ) + return Chroma(persist_directory=persist_directory, client_settings=chroma_settings) diff --git a/src/backend/langflow/components/vectorstores/Vectara.py b/src/backend/langflow/components/vectorstores/Vectara.py index 4f0891a2a..1f0d10179 100644 --- a/src/backend/langflow/components/vectorstores/Vectara.py +++ b/src/backend/langflow/components/vectorstores/Vectara.py @@ -1,19 +1,17 @@ from typing import Optional, Union -from langflow import CustomComponent +from langchain.schema import BaseRetriever, Document from langchain.vectorstores import Vectara -from langchain.schema import Document from langchain.vectorstores.base import VectorStore -from langchain.schema import BaseRetriever + +from langflow import CustomComponent class VectaraComponent(CustomComponent): display_name: str = "Vectara" description: str = "Implementation of Vector Store using Vectara" - documentation = ( - "https://python.langchain.com/docs/integrations/vectorstores/vectara" - ) - beta: bool = True + documentation = "https://python.langchain.com/docs/integrations/vectorstores/vectara" + beta = True # api key should be password = True field_config = { "vectara_customer_id": {"display_name": "Vectara Customer ID"}, diff --git a/src/backend/langflow/components/vectorstores/pgvector.py b/src/backend/langflow/components/vectorstores/pgvector.py index eecf4d187..4e0c2eb4d 100644 --- a/src/backend/langflow/components/vectorstores/pgvector.py +++ b/src/backend/langflow/components/vectorstores/pgvector.py @@ -14,9 +14,7 @@ class PostgresqlVectorComponent(CustomComponent): display_name: str = "PGVector" description: str = "Implementation of Vector Store using PostgreSQL" - documentation = ( - "https://python.langchain.com/docs/integrations/vectorstores/pgvector" - ) + documentation = "https://python.langchain.com/docs/integrations/vectorstores/pgvector" beta = True def build_config(self): diff --git a/src/backend/langflow/config.yaml b/src/backend/langflow/config.yaml index d234ce8ea..186bfa621 100644 --- a/src/backend/langflow/config.yaml +++ b/src/backend/langflow/config.yaml @@ -5,8 +5,6 @@ agents: documentation: "https://python.langchain.com/docs/modules/agents/toolkits/openapi" CSVAgent: documentation: "https://python.langchain.com/docs/modules/agents/toolkits/csv" - AgentInitializer: - documentation: "https://python.langchain.com/docs/modules/agents/agent_types/" VectorStoreAgent: documentation: "" VectorStoreRouterAgent: @@ -297,4 +295,4 @@ output_parsers: documentation: "https://python.langchain.com/docs/modules/model_io/output_parsers/structured" custom_components: CustomComponent: - documentation: "" + documentation: "https://docs.langflow.org/guidelines/custom-component" diff --git a/src/backend/langflow/core/celeryconfig.py b/src/backend/langflow/core/celeryconfig.py index 35d51bba0..128139071 100644 --- a/src/backend/langflow/core/celeryconfig.py +++ b/src/backend/langflow/core/celeryconfig.py @@ -3,12 +3,16 @@ import os langflow_redis_host = os.environ.get("LANGFLOW_REDIS_HOST") langflow_redis_port = os.environ.get("LANGFLOW_REDIS_PORT") -if "BROKER_URL" in os.environ and "RESULT_BACKEND" in os.environ: - # RabbitMQ - broker_url = os.environ.get("BROKER_URL", "amqp://localhost") - result_backend = os.environ.get("RESULT_BACKEND", "redis://localhost:6379/0") -elif langflow_redis_host and langflow_redis_port: +# broker default user + +if langflow_redis_host and langflow_redis_port: broker_url = f"redis://{langflow_redis_host}:{langflow_redis_port}/0" result_backend = f"redis://{langflow_redis_host}:{langflow_redis_port}/0" +else: + # RabbitMQ + mq_user = os.environ.get("RABBITMQ_DEFAULT_USER", "langflow") + mq_password = os.environ.get("RABBITMQ_DEFAULT_PASS", "langflow") + broker_url = os.environ.get("BROKER_URL", f"amqp://{mq_user}:{mq_password}@localhost:5672//") + result_backend = os.environ.get("RESULT_BACKEND", "redis://localhost:6379/0") # tasks should be json or pickle accept_content = ["json", "pickle"] diff --git a/src/backend/langflow/field_typing/__init__.py b/src/backend/langflow/field_typing/__init__.py index ceba9fded..3ae912117 100644 --- a/src/backend/langflow/field_typing/__init__.py +++ b/src/backend/langflow/field_typing/__init__.py @@ -1,40 +1,26 @@ -# LANGCHAIN_BASE_TYPES = { -# "Chain": Chain, -# "AgentExecutor": AgentExecutor, -# "Tool": Tool, -# "BaseLLM": BaseLLM, -# "PromptTemplate": PromptTemplate, -# "BaseLoader": BaseLoader, -# "Document": Document, -# "TextSplitter": TextSplitter, -# "VectorStore": VectorStore, -# "Embeddings": Embeddings, -# "BaseRetriever": BaseRetriever, -# "BaseOutputParser": BaseOutputParser, -# "BaseMemory": BaseMemory, -# "BaseChatMemory": BaseChatMemory, -# } from .constants import ( - Tool, - PromptTemplate, - ChatPromptTemplate, - BasePromptTemplate, - Chain, + AgentExecutor, BaseChatMemory, + BaseLanguageModel, BaseLLM, BaseLoader, BaseMemory, BaseOutputParser, + BasePromptTemplate, BaseRetriever, - VectorStore, - Embeddings, - TextSplitter, - Document, - AgentExecutor, - NestedDict, - Data, - BaseLanguageModel, Callable, + Chain, + ChatPromptTemplate, + Data, + Document, + Embeddings, + NestedDict, + Object, + Prompt, + PromptTemplate, + TextSplitter, + Tool, + VectorStore, ) __all__ = [ @@ -55,7 +41,9 @@ __all__ = [ "TextSplitter", "Document", "AgentExecutor", + "Object", "Callable", "BasePromptTemplate", "ChatPromptTemplate", + "Prompt", ] diff --git a/src/backend/langflow/field_typing/constants.py b/src/backend/langflow/field_typing/constants.py index 4e508ba61..d3ca22baa 100644 --- a/src/backend/langflow/field_typing/constants.py +++ b/src/backend/langflow/field_typing/constants.py @@ -1,25 +1,35 @@ +from typing import Callable, Dict, Union + from langchain.agents.agent import AgentExecutor from langchain.chains.base import Chain from langchain.document_loaders.base import BaseLoader -from langchain.llms.base import BaseLLM, BaseLanguageModel +from langchain.llms.base import BaseLLM from langchain.memory.chat_memory import BaseChatMemory -from langchain.prompts import PromptTemplate, ChatPromptTemplate, BasePromptTemplate +from langchain.prompts import BasePromptTemplate, ChatPromptTemplate, PromptTemplate from langchain.schema import BaseOutputParser, BaseRetriever, Document from langchain.schema.embeddings import Embeddings +from langchain.schema.language_model import BaseLanguageModel from langchain.schema.memory import BaseMemory from langchain.text_splitter import TextSplitter from langchain.tools import Tool from langchain.vectorstores.base import VectorStore -from typing import Union, Dict, Callable # Type alias for more complex dicts NestedDict = Dict[str, Union[str, Dict]] +class Object: + pass + + class Data: pass +class Prompt: + pass + + LANGCHAIN_BASE_TYPES = { "Chain": Chain, "AgentExecutor": AgentExecutor, @@ -42,13 +52,9 @@ LANGCHAIN_BASE_TYPES = { # Langchain base types plus Python base types CUSTOM_COMPONENT_SUPPORTED_TYPES = { **LANGCHAIN_BASE_TYPES, - "str": str, - "int": int, - "float": float, - "bool": bool, - "list": list, - "dict": dict, "NestedDict": NestedDict, "Data": Data, + "Object": Object, "Callable": Callable, + "Prompt": Prompt, } diff --git a/src/backend/langflow/graph/edge/base.py b/src/backend/langflow/graph/edge/base.py index 82714e395..399638e18 100644 --- a/src/backend/langflow/graph/edge/base.py +++ b/src/backend/langflow/graph/edge/base.py @@ -1,16 +1,14 @@ +from typing import TYPE_CHECKING, List, Optional + from loguru import logger -from typing import TYPE_CHECKING from pydantic import BaseModel, Field -from typing import List, Optional if TYPE_CHECKING: from langflow.graph.vertex.base import Vertex class SourceHandle(BaseModel): - baseClasses: List[str] = Field( - ..., description="List of base classes for the source handle." - ) + baseClasses: List[str] = Field(..., description="List of base classes for the source handle.") dataType: str = Field(..., description="Data type for the source handle.") id: str = Field(..., description="Unique identifier for the source handle.") @@ -18,16 +16,14 @@ class SourceHandle(BaseModel): class TargetHandle(BaseModel): fieldName: str = Field(..., description="Field name for the target handle.") id: str = Field(..., description="Unique identifier for the target handle.") - inputTypes: Optional[List[str]] = Field( - None, description="List of input types for the target handle." - ) + inputTypes: Optional[List[str]] = Field(None, description="List of input types for the target handle.") type: str = Field(..., description="Type of the target handle.") class Edge: def __init__(self, source: "Vertex", target: "Vertex", edge: dict): - self.source: "Vertex" = source - self.target: "Vertex" = target + self.source_id: str = source.id if source else "" + self.target_id: str = target.id if target else "" if data := edge.get("data", {}): self._source_handle = data.get("sourceHandle", {}) self._target_handle = data.get("targetHandle", {}) @@ -35,7 +31,7 @@ class Edge: self.target_handle: TargetHandle = TargetHandle(**self._target_handle) self.target_param = self.target_handle.fieldName # validate handles - self.validate_handles() + self.validate_handles(source, target) else: # Logging here because this is a breaking change logger.error("Edge data is empty") @@ -45,53 +41,37 @@ class Edge: # target_param is documents self.target_param = self._target_handle.split("|")[1] # Validate in __init__ to fail fast - self.validate_edge() + self.validate_edge(source, target) - def validate_handles(self) -> None: + def validate_handles(self, source, target) -> None: if self.target_handle.inputTypes is None: - self.valid_handles = ( - self.target_handle.type in self.source_handle.baseClasses - ) + self.valid_handles = self.target_handle.type in self.source_handle.baseClasses else: self.valid_handles = ( - any( - baseClass in self.target_handle.inputTypes - for baseClass in self.source_handle.baseClasses - ) + any(baseClass in self.target_handle.inputTypes for baseClass in self.source_handle.baseClasses) or self.target_handle.type in self.source_handle.baseClasses ) if not self.valid_handles: logger.debug(self.source_handle) logger.debug(self.target_handle) - raise ValueError( - f"Edge between {self.source.vertex_type} and {self.target.vertex_type} " - f"has invalid handles" - ) + raise ValueError(f"Edge between {source.vertex_type} and {target.vertex_type} " f"has invalid handles") def __setstate__(self, state): - self.source = state["source"] - self.target = state["target"] + self.source_id = state["source_id"] + self.target_id = state["target_id"] self.target_param = state["target_param"] self.source_handle = state.get("source_handle") self.target_handle = state.get("target_handle") - def reset(self) -> None: - self.source._build_params() - self.target._build_params() - - def validate_edge(self) -> None: + def validate_edge(self, source, target) -> None: # Validate that the outputs of the source node are valid inputs # for the target node - self.source_types = self.source.output - self.target_reqs = self.target.required_inputs + self.target.optional_inputs + self.source_types = source.output + self.target_reqs = target.required_inputs + target.optional_inputs # Both lists contain strings and sometimes a string contains the value we are # looking for e.g. comgin_out=["Chain"] and target_reqs=["LLMChain"] # so we need to check if any of the strings in source_types is in target_reqs - self.valid = any( - output in target_req - for output in self.source_types - for target_req in self.target_reqs - ) + self.valid = any(output in target_req for output in self.source_types for target_req in self.target_reqs) # Get what type of input the target node is expecting self.matched_type = next( @@ -102,14 +82,11 @@ class Edge: if no_matched_type: logger.debug(self.source_types) logger.debug(self.target_reqs) - raise ValueError( - f"Edge between {self.source.vertex_type} and {self.target.vertex_type} " - f"has no matched type" - ) + raise ValueError(f"Edge between {source.vertex_type} and {target.vertex_type} " f"has no matched type") def __repr__(self) -> str: return ( - f"Edge(source={self.source.id}, target={self.target.id}, target_param={self.target_param}" + f"Edge(source={self.source_id}, target={self.target_id}, target_param={self.target_param}" f", matched_type={self.matched_type})" ) @@ -117,8 +94,4 @@ class Edge: return hash(self.__repr__()) def __eq__(self, __value: object) -> bool: - return ( - self.__repr__() == __value.__repr__() - if isinstance(__value, Edge) - else False - ) + return self.__repr__() == __value.__repr__() if isinstance(__value, Edge) else False diff --git a/src/backend/langflow/graph/graph/base.py b/src/backend/langflow/graph/graph/base.py index 83976ae49..3481fda87 100644 --- a/src/backend/langflow/graph/graph/base.py +++ b/src/backend/langflow/graph/graph/base.py @@ -1,47 +1,44 @@ from typing import Dict, Generator, List, Type, Union +from langchain.chains.base import Chain +from loguru import logger + from langflow.graph.edge.base import Edge from langflow.graph.graph.constants import lazy_load_vertex_dict from langflow.graph.graph.utils import process_flow from langflow.graph.vertex.base import Vertex -from langflow.graph.vertex.types import ( - FileToolVertex, - LLMVertex, - ToolkitVertex, -) +from langflow.graph.vertex.types import FileToolVertex, LLMVertex, ToolkitVertex from langflow.interface.tools.constants import FILE_TOOLS from langflow.utils import payload -from loguru import logger -from langchain.chains.base import Chain class Graph: - """A class representing a graph of nodes and edges.""" + """A class representing a graph of vertices and edges.""" def __init__( self, nodes: List[Dict], edges: List[Dict[str, str]], ) -> None: - self._nodes = nodes + self._vertices = nodes self._edges = edges self.raw_graph_data = {"nodes": nodes, "edges": edges} - self.top_level_nodes = [] - for node in self._nodes: - if node_id := node.get("id"): - self.top_level_nodes.append(node_id) - + self.top_level_vertices = [] + for vertex in self._vertices: + if vertex_id := vertex.get("id"): + self.top_level_vertices.append(vertex_id) self._graph_data = process_flow(self.raw_graph_data) - self._nodes = self._graph_data["nodes"] + + self._vertices = self._graph_data["nodes"] self._edges = self._graph_data["edges"] self._build_graph() + def __getstate__(self): + return self.raw_graph_data + def __setstate__(self, state): - self.__dict__.update(state) - for edge in self.edges: - edge.reset() - edge.validate_edge() + self.__init__(**state) @classmethod def from_payload(cls, payload: Dict) -> "Graph": @@ -57,9 +54,9 @@ class Graph: if "data" in payload: payload = payload["data"] try: - nodes = payload["nodes"] + vertices = payload["nodes"] edges = payload["edges"] - return cls(nodes, edges) + return cls(vertices, edges) except KeyError as exc: logger.exception(exc) raise ValueError( @@ -72,65 +69,69 @@ class Graph: return self.__repr__() == other.__repr__() def _build_graph(self) -> None: - """Builds the graph from the nodes and edges.""" - self.nodes = self._build_vertices() + """Builds the graph from the vertices and edges.""" + self.vertices = self._build_vertices() + self.vertex_map = {vertex.id: vertex for vertex in self.vertices} self.edges = self._build_edges() - for edge in self.edges: - edge.source.add_edge(edge) - edge.target.add_edge(edge) - # This is a hack to make sure that the LLM node is sent to - # the toolkit node - self._build_node_params() - # remove invalid nodes - self._validate_nodes() + # This is a hack to make sure that the LLM vertex is sent to + # the toolkit vertex + self._build_vertex_params() + # remove invalid vertices + self._validate_vertices() - def _build_node_params(self) -> None: - """Identifies and handles the LLM node within the graph.""" - llm_node = None - for node in self.nodes: - node._build_params() - if isinstance(node, LLMVertex): - llm_node = node + def _build_vertex_params(self) -> None: + """Identifies and handles the LLM vertex within the graph.""" + llm_vertex = None + for vertex in self.vertices: + vertex._build_params() + if isinstance(vertex, LLMVertex): + llm_vertex = vertex - if llm_node: - for node in self.nodes: - if isinstance(node, ToolkitVertex): - node.params["llm"] = llm_node + if llm_vertex: + for vertex in self.vertices: + if isinstance(vertex, ToolkitVertex): + vertex.params["llm"] = llm_vertex - def _validate_nodes(self) -> None: - """Check that all nodes have edges""" - if len(self.nodes) == 1: + def _validate_vertices(self) -> None: + """Check that all vertices have edges""" + if len(self.vertices) == 1: return - for node in self.nodes: - if not self._validate_node(node): - raise ValueError( - f"{node.vertex_type} is not connected to any other components" - ) + for vertex in self.vertices: + if not self._validate_vertex(vertex): + raise ValueError(f"{vertex.vertex_type} is not connected to any other components") - def _validate_node(self, node: Vertex) -> bool: - """Validates a node.""" - # All nodes that do not have edges are invalid - return len(node.edges) > 0 + def _validate_vertex(self, vertex: Vertex) -> bool: + """Validates a vertex.""" + # All vertices that do not have edges are invalid + return len(self.get_vertex_edges(vertex.id)) > 0 - def get_node(self, node_id: str) -> Union[None, Vertex]: - """Returns a node by id.""" - return next((node for node in self.nodes if node.id == node_id), None) + def get_vertex(self, vertex_id: str) -> Union[None, Vertex]: + """Returns a vertex by id.""" + return self.vertex_map.get(vertex_id) - def get_nodes_with_target(self, node: Vertex) -> List[Vertex]: - """Returns the nodes connected to a node.""" - connected_nodes: List[Vertex] = [ - edge.source for edge in self.edges if edge.target == node - ] - return connected_nodes + def get_vertex_edges(self, vertex_id: str) -> List[Edge]: + """Returns a list of edges for a given vertex.""" + return [edge for edge in self.edges if edge.source_id == vertex_id or edge.target_id == vertex_id] - def build(self) -> Chain: + def get_vertices_with_target(self, vertex_id: str) -> List[Vertex]: + """Returns the vertices connected to a vertex.""" + vertices: List[Vertex] = [] + for edge in self.edges: + if edge.target_id == vertex_id: + vertex = self.get_vertex(edge.source_id) + if vertex is None: + continue + vertices.append(vertex) + return vertices + + async def build(self) -> Chain: """Builds the graph.""" - # Get root node - root_node = payload.get_root_node(self) - if root_node is None: - raise ValueError("No root node found") - return root_node.build() + # Get root vertex + root_vertex = payload.get_root_vertex(self) + if root_vertex is None: + raise ValueError("No root vertex found") + return await root_vertex.build() def topological_sort(self) -> List[Vertex]: """ @@ -143,27 +144,25 @@ class Graph: ValueError: If the graph contains a cycle. """ # States: 0 = unvisited, 1 = visiting, 2 = visited - state = {node: 0 for node in self.nodes} + state = {vertex: 0 for vertex in self.vertices} sorted_vertices = [] - def dfs(node): - if state[node] == 1: + def dfs(vertex): + if state[vertex] == 1: # We have a cycle - raise ValueError( - "Graph contains a cycle, cannot perform topological sort" - ) - if state[node] == 0: - state[node] = 1 - for edge in node.edges: - if edge.source == node: - dfs(edge.target) - state[node] = 2 - sorted_vertices.append(node) + raise ValueError("Graph contains a cycle, cannot perform topological sort") + if state[vertex] == 0: + state[vertex] = 1 + for edge in vertex.edges: + if edge.source_id == vertex.id: + dfs(self.get_vertex(edge.target_id)) + state[vertex] = 2 + sorted_vertices.append(vertex) - # Visit each node - for node in self.nodes: - if state[node] == 0: - dfs(node) + # Visit each vertex + for vertex in self.vertices: + if state[vertex] == 0: + dfs(vertex) return list(reversed(sorted_vertices)) @@ -173,17 +172,21 @@ class Graph: logger.debug("There are %s vertices in the graph", len(sorted_vertices)) yield from sorted_vertices - def get_node_neighbors(self, node: Vertex) -> Dict[Vertex, int]: - """Returns the neighbors of a node.""" + def get_vertex_neighbors(self, vertex: Vertex) -> Dict[Vertex, int]: + """Returns the neighbors of a vertex.""" neighbors: Dict[Vertex, int] = {} for edge in self.edges: - if edge.source == node: - neighbor = edge.target + if edge.source_id == vertex.id: + neighbor = self.get_vertex(edge.target_id) + if neighbor is None: + continue if neighbor not in neighbors: neighbors[neighbor] = 0 neighbors[neighbor] += 1 - elif edge.target == node: - neighbor = edge.source + elif edge.target_id == vertex.id: + neighbor = self.get_vertex(edge.source_id) + if neighbor is None: + continue if neighbor not in neighbors: neighbors[neighbor] = 0 neighbors[neighbor] += 1 @@ -191,61 +194,59 @@ class Graph: def _build_edges(self) -> List[Edge]: """Builds the edges of the graph.""" - # Edge takes two nodes as arguments, so we need to build the nodes first + # Edge takes two vertices as arguments, so we need to build the vertices first # and then build the edges - # if we can't find a node, we raise an error + # if we can't find a vertex, we raise an error edges: List[Edge] = [] for edge in self._edges: - source = self.get_node(edge["source"]) - target = self.get_node(edge["target"]) + source = self.get_vertex(edge["source"]) + target = self.get_vertex(edge["target"]) if source is None: - raise ValueError(f"Source node {edge['source']} not found") + raise ValueError(f"Source vertex {edge['source']} not found") if target is None: - raise ValueError(f"Target node {edge['target']} not found") + raise ValueError(f"Target vertex {edge['target']} not found") edges.append(Edge(source, target, edge)) return edges - def _get_vertex_class(self, node_type: str, node_lc_type: str) -> Type[Vertex]: - """Returns the node class based on the node type.""" - if node_type in FILE_TOOLS: + def _get_vertex_class(self, vertex_type: str, vertex_lc_type: str) -> Type[Vertex]: + """Returns the vertex class based on the vertex type.""" + if vertex_type in FILE_TOOLS: return FileToolVertex - if node_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP: - return lazy_load_vertex_dict.VERTEX_TYPE_MAP[node_type] + if vertex_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP: + return lazy_load_vertex_dict.VERTEX_TYPE_MAP[vertex_type] return ( - lazy_load_vertex_dict.VERTEX_TYPE_MAP[node_lc_type] - if node_lc_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP + lazy_load_vertex_dict.VERTEX_TYPE_MAP[vertex_lc_type] + if vertex_lc_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP else Vertex ) def _build_vertices(self) -> List[Vertex]: """Builds the vertices of the graph.""" - nodes: List[Vertex] = [] - for node in self._nodes: - node_data = node["data"] - node_type: str = node_data["type"] # type: ignore - node_lc_type: str = node_data["node"]["template"]["_type"] # type: ignore + vertices: List[Vertex] = [] + for vertex in self._vertices: + vertex_data = vertex["data"] + vertex_type: str = vertex_data["type"] # type: ignore + vertex_lc_type: str = vertex_data["node"]["template"]["_type"] # type: ignore - VertexClass = self._get_vertex_class(node_type, node_lc_type) - vertex = VertexClass(node) - vertex.set_top_level(self.top_level_nodes) - nodes.append(vertex) + VertexClass = self._get_vertex_class(vertex_type, vertex_lc_type) + vertex_instance = VertexClass(vertex, graph=self) + vertex_instance.set_top_level(self.top_level_vertices) + vertices.append(vertex_instance) - return nodes + return vertices - def get_children_by_node_type(self, node: Vertex, node_type: str) -> List[Vertex]: - """Returns the children of a node based on the node type.""" + def get_children_by_vertex_type(self, vertex: Vertex, vertex_type: str) -> List[Vertex]: + """Returns the children of a vertex based on the vertex type.""" children = [] - node_types = [node.data["type"]] - if "node" in node.data: - node_types += node.data["node"]["base_classes"] - if node_type in node_types: - children.append(node) + vertex_types = [vertex.data["type"]] + if "node" in vertex.data: + vertex_types += vertex.data["node"]["base_classes"] + if vertex_type in vertex_types: + children.append(vertex) return children def __repr__(self): - node_ids = [node.id for node in self.nodes] - edges_repr = "\n".join( - [f"{edge.source.id} --> {edge.target.id}" for edge in self.edges] - ) - return f"Graph:\nNodes: {node_ids}\nConnections:\n{edges_repr}" + vertex_ids = [vertex.id for vertex in self.vertices] + edges_repr = "\n".join([f"{edge.source_id} --> {edge.target_id}" for edge in self.edges]) + return f"Graph:\nNodes: {vertex_ids}\nConnections:\n{edges_repr}" diff --git a/src/backend/langflow/graph/graph/constants.py b/src/backend/langflow/graph/graph/constants.py index c9fea48b5..abfc2970f 100644 --- a/src/backend/langflow/graph/graph/constants.py +++ b/src/backend/langflow/graph/graph/constants.py @@ -47,10 +47,7 @@ class VertexTypesDict(LazyLoadDictBase): **{t: types.DocumentLoaderVertex for t in documentloader_creator.to_list()}, **{t: types.TextSplitterVertex for t in textsplitter_creator.to_list()}, **{t: types.OutputParserVertex for t in output_parser_creator.to_list()}, - **{ - t: types.CustomComponentVertex - for t in custom_component_creator.to_list() - }, + **{t: types.CustomComponentVertex for t in custom_component_creator.to_list()}, **{t: types.RetrieverVertex for t in retriever_creator.to_list()}, } diff --git a/src/backend/langflow/graph/graph/utils.py b/src/backend/langflow/graph/graph/utils.py index 71b81fea1..d43fc4d84 100644 --- a/src/backend/langflow/graph/graph/utils.py +++ b/src/backend/langflow/graph/graph/utils.py @@ -1,5 +1,6 @@ -from collections import deque import copy +from collections import deque +from typing import Dict, List def find_last_node(nodes, edges): @@ -28,23 +29,14 @@ def ungroup_node(group_node_data, base_flow): g_edges = flow["data"]["edges"] # Redirect edges to the correct proxy node - updated_edges = get_updated_edges( - base_flow, g_nodes, g_edges, group_node_data["id"] - ) + updated_edges = get_updated_edges(base_flow, g_nodes, g_edges, group_node_data["id"]) # Update template values update_template(template, g_nodes) - nodes = [ - n for n in base_flow["nodes"] if n["id"] != group_node_data["id"] - ] + g_nodes + nodes = [n for n in base_flow["nodes"] if n["id"] != group_node_data["id"]] + g_nodes edges = ( - [ - e - for e in base_flow["edges"] - if e["target"] != group_node_data["id"] - and e["source"] != group_node_data["id"] - ] + [e for e in base_flow["edges"] if e["target"] != group_node_data["id"] and e["source"] != group_node_data["id"]] + g_edges + updated_edges ) @@ -55,6 +47,38 @@ def ungroup_node(group_node_data, base_flow): return nodes +def raw_topological_sort(nodes, edges) -> List[Dict]: + # Redefine the above function but using the nodes and self._edges + # which are dicts instead of Vertex and Edge objects + # nodes have an id, edges have a source and target keys + # return a list of node ids in topological order + + # States: 0 = unvisited, 1 = visiting, 2 = visited + state = {node["id"]: 0 for node in nodes} + nodes_dict = {node["id"]: node for node in nodes} + sorted_vertices = [] + + def dfs(node): + if state[node] == 1: + # We have a cycle + raise ValueError("Graph contains a cycle, cannot perform topological sort") + if state[node] == 0: + state[node] = 1 + for edge in edges: + if edge["source"] == node: + dfs(edge["target"]) + state[node] = 2 + sorted_vertices.append(node) + + # Visit each node + for node in nodes: + if state[node["id"]] == 0: + dfs(node["id"]) + + reverse_sorted = list(reversed(sorted_vertices)) + return [nodes_dict[node_id] for node_id in reverse_sorted] + + def process_flow(flow_object): cloned_flow = copy.deepcopy(flow_object) processed_nodes = set() # To keep track of processed nodes @@ -66,11 +90,7 @@ def process_flow(flow_object): if node_id in processed_nodes: return - if ( - node.get("data") - and node["data"].get("node") - and node["data"]["node"].get("flow") - ): + if node.get("data") and node["data"].get("node") and node["data"]["node"].get("flow"): process_flow(node["data"]["node"]["flow"]["data"]) new_nodes = ungroup_node(node["data"], cloned_flow) # Add new nodes to the queue for future processing @@ -79,7 +99,8 @@ def process_flow(flow_object): # Mark node as processed processed_nodes.add(node_id) - nodes_to_process = deque(cloned_flow["nodes"]) + sorted_nodes_list = raw_topological_sort(cloned_flow["nodes"], cloned_flow["edges"]) + nodes_to_process = deque(sorted_nodes_list) while nodes_to_process: node = nodes_to_process.popleft() @@ -108,29 +129,23 @@ def update_template(template, g_nodes): if node_index != -1: display_name = None show = g_nodes[node_index]["data"]["node"]["template"][field]["show"] - advanced = g_nodes[node_index]["data"]["node"]["template"][field][ - "advanced" - ] + advanced = g_nodes[node_index]["data"]["node"]["template"][field]["advanced"] if "display_name" in g_nodes[node_index]["data"]["node"]["template"][field]: - display_name = g_nodes[node_index]["data"]["node"]["template"][field][ - "display_name" - ] + display_name = g_nodes[node_index]["data"]["node"]["template"][field]["display_name"] else: - display_name = g_nodes[node_index]["data"]["node"]["template"][field][ - "name" - ] + display_name = g_nodes[node_index]["data"]["node"]["template"][field]["name"] g_nodes[node_index]["data"]["node"]["template"][field] = value g_nodes[node_index]["data"]["node"]["template"][field]["show"] = show - g_nodes[node_index]["data"]["node"]["template"][field][ - "advanced" - ] = advanced - g_nodes[node_index]["data"]["node"]["template"][field][ - "display_name" - ] = display_name + g_nodes[node_index]["data"]["node"]["template"][field]["advanced"] = advanced + g_nodes[node_index]["data"]["node"]["template"][field]["display_name"] = display_name -def update_target_handle(new_edge, g_nodes, group_node_id): +def update_target_handle( + new_edge, + g_nodes, + group_node_id, +): """ Updates the target handle of a given edge if it is a proxy node. @@ -147,6 +162,8 @@ def update_target_handle(new_edge, g_nodes, group_node_id): proxy_id = target_handle["proxy"]["id"] if node := next((n for n in g_nodes if n["id"] == proxy_id), None): set_new_target_handle(proxy_id, new_edge, target_handle, node) + else: + raise ValueError(f"Group node {group_node_id} has an invalid target proxy node {proxy_id}") return new_edge diff --git a/src/backend/langflow/graph/vertex/base.py b/src/backend/langflow/graph/vertex/base.py index 88a4db26e..b89e36ca4 100644 --- a/src/backend/langflow/graph/vertex/base.py +++ b/src/backend/langflow/graph/vertex/base.py @@ -1,35 +1,32 @@ import ast -import pickle +import inspect +import types +from typing import TYPE_CHECKING, Any, Coroutine, Dict, List, Optional + from langflow.graph.utils import UnbuiltObject -from langflow.graph.vertex.utils import is_basic_type from langflow.interface.initialize import loading from langflow.interface.listing import lazy_load_dict from langflow.utils.constants import DIRECT_TYPES -from loguru import logger from langflow.utils.util import sync_to_async - - -import inspect -import types -from typing import Any, Dict, List, Optional -from typing import TYPE_CHECKING - +from loguru import logger if TYPE_CHECKING: from langflow.graph.edge.base import Edge + from langflow.graph.graph.base import Graph class Vertex: def __init__( self, data: Dict, + graph: "Graph", base_type: Optional[str] = None, is_task: bool = False, params: Optional[Dict] = None, ) -> None: + self.graph = graph self.id: str = data["id"] self._data = data - self.edges: List["Edge"] = [] self.base_type: Optional[str] = base_type self._parse_data() self._built_object = UnbuiltObject() @@ -41,45 +38,28 @@ class Vertex: self.parent_node_id: Optional[str] = self._data.get("parent_node_id") self.parent_is_top_level = False - def reset_params(self): - for edge in self.edges: - if edge.source != self: - target_param = edge.target_param - if target_param in ["document", "texts"]: - # this means they got data and have already ingested it - # so we continue after removing the param - self.params.pop(target_param, None) - continue - - if target_param in self.params and not is_basic_type( - self.params[target_param] - ): - # edge.source.params = {} - edge.source._build_params() - edge.source._built_object = UnbuiltObject() - edge.source._built = False - - self.params[target_param] = edge.source + @property + def edges(self) -> List["Edge"]: + return self.graph.get_vertex_edges(self.id) def __getstate__(self): - state_dict = self.__dict__.copy() - try: - # try pickling the built object - # if it fails, then we need to delete it - # and build it again - pickle.dumps(state_dict["_built_object"]) - except Exception: - self.reset_params() - del state_dict["_built_object"] - del state_dict["_built"] - return state_dict + return { + "_data": self._data, + "params": {}, + "base_type": self.base_type, + "is_task": self.is_task, + "id": self.id, + "_built_object": UnbuiltObject(), + "_built": False, + "parent_node_id": self.parent_node_id, + "parent_is_top_level": self.parent_is_top_level, + } def __setstate__(self, state): self._data = state["_data"] self.params = state["params"] self.base_type = state["base_type"] self.is_task = state["is_task"] - self.edges = state["edges"] self.id = state["id"] self._parse_data() if "_built_object" in state: @@ -93,35 +73,23 @@ class Vertex: self.parent_node_id = state["parent_node_id"] self.parent_is_top_level = state["parent_is_top_level"] - def set_top_level(self, top_level_nodes: List[str]) -> None: - self.parent_is_top_level = self.parent_node_id in top_level_nodes + def set_top_level(self, top_level_vertices: List[str]) -> None: + self.parent_is_top_level = self.parent_node_id in top_level_vertices def _parse_data(self) -> None: self.data = self._data["data"] self.output = self.data["node"]["base_classes"] - template_dicts = { - key: value - for key, value in self.data["node"]["template"].items() - if isinstance(value, dict) - } + template_dicts = {key: value for key, value in self.data["node"]["template"].items() if isinstance(value, dict)} self.required_inputs = [ - template_dicts[key]["type"] - for key, value in template_dicts.items() - if value["required"] + template_dicts[key]["type"] for key, value in template_dicts.items() if value["required"] ] self.optional_inputs = [ - template_dicts[key]["type"] - for key, value in template_dicts.items() - if not value["required"] + template_dicts[key]["type"] for key, value in template_dicts.items() if not value["required"] ] # Add the template_dicts[key]["input_types"] to the optional_inputs self.optional_inputs.extend( - [ - input_type - for value in template_dicts.values() - for input_type in value.get("input_types", []) - ] + [input_type for value in template_dicts.values() for input_type in value.get("input_types", [])] ) template_dict = self.data["node"]["template"] @@ -160,11 +128,11 @@ class Vertex: # and use that as the value for the param # If the type is "str", then we need to get the value of the "value" key # and use that as the value for the param - template_dict = { - key: value - for key, value in self.data["node"]["template"].items() - if isinstance(value, dict) - } + + if self.graph is None: + raise ValueError("Graph not found") + + template_dict = {key: value for key, value in self.data["node"]["template"].items() if isinstance(value, dict)} params = self.params.copy() if self.params else {} for edge in self.edges: @@ -175,9 +143,9 @@ class Vertex: if template_dict[param_key]["list"]: if param_key not in params: params[param_key] = [] - params[param_key].append(edge.source) - elif edge.target.id == self.id: - params[param_key] = edge.source + params[param_key].append(self.graph.get_vertex(edge.source_id)) + elif edge.target_id == self.id: + params[param_key] = self.graph.get_vertex(edge.source_id) for key, value in template_dict.items(): if key in params: @@ -189,7 +157,7 @@ class Vertex: # If the type is not transformable to a python base class # then we need to get the edge that connects to this node if value.get("type") == "file": - # Load the type in value.get('suffixes') using + # Load the type in value.get('fileTypes') using # what is inside value.get('content') # value.get('value') is the file name if file_path := value.get("file_path"): @@ -197,37 +165,33 @@ class Vertex: else: raise ValueError(f"File path not found for {self.vertex_type}") elif value.get("type") in DIRECT_TYPES and params.get(key) is None: + val = value.get("value") if value.get("type") == "code": try: - params[key] = ast.literal_eval(value.get("value")) + params[key] = ast.literal_eval(val) if val else None except Exception as exc: logger.debug(f"Error parsing code: {exc}") - params[key] = value.get("value") + params[key] = val elif value.get("type") in ["dict", "NestedDict"]: # When dict comes from the frontend it comes as a # list of dicts, so we need to convert it to a dict # before passing it to the build method - _value = value.get("value") - if isinstance(_value, list): - params[key] = { - k: v - for item in value.get("value", []) - for k, v in item.items() - } - elif isinstance(_value, dict): - params[key] = _value - elif value.get("type") == "int" and value.get("value") is not None: + if isinstance(val, list): + params[key] = {k: v for item in value.get("value", []) for k, v in item.items()} + elif isinstance(val, dict): + params[key] = val + elif value.get("type") == "int" and val is not None: try: - params[key] = int(value.get("value")) + params[key] = int(val) except ValueError: - params[key] = value.get("value") - elif value.get("type") == "float" and value.get("value") is not None: + params[key] = val + elif value.get("type") == "float" and val is not None: try: - params[key] = float(value.get("value")) + params[key] = float(val) except ValueError: - params[key] = value.get("value") + params[key] = val else: - params[key] = value.get("value") + params[key] = val if not value.get("required") and params.get(key) is None: if value.get("default"): @@ -238,18 +202,18 @@ class Vertex: self._raw_params = params self.params = params - def _build(self, user_id=None): + async def _build(self, user_id=None): """ Initiate the build process. """ logger.debug(f"Building {self.vertex_type}") - self._build_each_node_in_params_dict(user_id) - self._get_and_instantiate_class(user_id) + await self._build_each_node_in_params_dict(user_id) + await self._get_and_instantiate_class(user_id) self._validate_built_object() self._built = True - def _build_each_node_in_params_dict(self, user_id=None): + async def _build_each_node_in_params_dict(self, user_id=None): """ Iterates over each node in the params dictionary and builds it. """ @@ -258,9 +222,9 @@ class Vertex: if value == self: del self.params[key] continue - self._build_node_and_update_params(key, value, user_id) + await self._build_node_and_update_params(key, value, user_id) elif isinstance(value, list) and self._is_list_of_nodes(value): - self._build_list_of_nodes_and_update_params(key, value, user_id) + await self._build_list_of_nodes_and_update_params(key, value, user_id) def _is_node(self, value): """ @@ -274,14 +238,17 @@ class Vertex: """ return all(self._is_node(node) for node in value) - def get_result(self, user_id=None, timeout=None) -> Any: + async def get_result(self, user_id=None, timeout=None) -> Any: # Check if the Vertex was built already if self._built: return self._built_object if self.is_task and self.task_id is not None: task = self.get_task() + result = task.get(timeout=timeout) + if isinstance(result, Coroutine): + result = await result if result is not None: # If result is ready self._update_built_object_and_artifacts(result) return self._built_object @@ -290,29 +257,27 @@ class Vertex: pass # If there's no task_id, build the vertex locally - self.build(user_id) + await self.build(user_id=user_id) return self._built_object - def _build_node_and_update_params(self, key, node, user_id=None): + async def _build_node_and_update_params(self, key, node, user_id=None): """ Builds a given node and updates the params dictionary accordingly. """ - result = node.get_result(user_id) + result = await node.get_result(user_id) self._handle_func(key, result) if isinstance(result, list): self._extend_params_list_with_result(key, result) self.params[key] = result - def _build_list_of_nodes_and_update_params( - self, key, nodes: List["Vertex"], user_id=None - ): + async def _build_list_of_nodes_and_update_params(self, key, nodes: List["Vertex"], user_id=None): """ Iterates over a list of nodes, builds each and updates the params dictionary. """ self.params[key] = [] for node in nodes: - built = node.get_result(user_id) + built = await node.get_result(user_id) if isinstance(built, list): if key not in self.params: self.params[key] = [] @@ -342,14 +307,14 @@ class Vertex: if isinstance(self.params[key], list): self.params[key].extend(result) - def _get_and_instantiate_class(self, user_id=None): + async def _get_and_instantiate_class(self, user_id=None): """ Gets the class from a dictionary and instantiates it with the params. """ if self.base_type is None: raise ValueError(f"Base type for node {self.vertex_type} not found") try: - result = loading.instantiate_class( + result = await loading.instantiate_class( node_type=self.vertex_type, base_type=self.base_type, params=self.params, @@ -358,9 +323,7 @@ class Vertex: self._update_built_object_and_artifacts(result) except Exception as exc: logger.exception(exc) - raise ValueError( - f"Error building node {self.vertex_type}(ID:{self.id}): {str(exc)}" - ) from exc + raise ValueError(f"Error building node {self.vertex_type}(ID:{self.id}): {str(exc)}") from exc def _update_built_object_and_artifacts(self, result): """ @@ -382,11 +345,11 @@ class Vertex: if self.base_type == "custom_components": message += " Make sure your build method returns a component." - raise ValueError(message) + logger.warning(message) - def build(self, force: bool = False, user_id=None, *args, **kwargs) -> Any: + async def build(self, force: bool = False, user_id=None, *args, **kwargs) -> Any: if not self._built or force: - self._build(user_id, *args, **kwargs) + await self._build(user_id, *args, **kwargs) return self._built_object @@ -408,8 +371,4 @@ class Vertex: def _built_object_repr(self): # Add a message with an emoji, stars for sucess, - return ( - "Built sucessfully ✨" - if self._built_object is not None - else "Failed to build 😵‍💫" - ) + return "Built sucessfully ✨" if self._built_object is not None else "Failed to build 😵‍💫" diff --git a/src/backend/langflow/graph/vertex/types.py b/src/backend/langflow/graph/vertex/types.py index 1b63bc062..7439876fa 100644 --- a/src/backend/langflow/graph/vertex/types.py +++ b/src/backend/langflow/graph/vertex/types.py @@ -1,14 +1,14 @@ import ast from typing import Any, Dict, List, Optional, Union +from langflow.graph.utils import UnbuiltObject, flatten_list from langflow.graph.vertex.base import Vertex -from langflow.graph.utils import flatten_list from langflow.interface.utils import extract_input_variables_from_prompt class AgentVertex(Vertex): - def __init__(self, data: Dict, params: Optional[Dict] = None): - super().__init__(data, base_type="agents", params=params) + def __init__(self, data: Dict, graph, params: Optional[Dict] = None): + super().__init__(data, graph=graph, base_type="agents", params=params) self.tools: List[Union[ToolkitVertex, ToolVertex]] = [] self.chains: List[ChainVertex] = [] @@ -26,49 +26,54 @@ class AgentVertex(Vertex): def _set_tools_and_chains(self) -> None: for edge in self.edges: - if not hasattr(edge, "source"): + if not hasattr(edge, "source_id"): continue - source_node = edge.source + source_node = self.graph.get_vertex(edge.source_id) if isinstance(source_node, (ToolVertex, ToolkitVertex)): self.tools.append(source_node) elif isinstance(source_node, ChainVertex): self.chains.append(source_node) - def build(self, force: bool = False, user_id=None, *args, **kwargs) -> Any: + async def build(self, force: bool = False, user_id=None, *args, **kwargs) -> Any: if not self._built or force: self._set_tools_and_chains() # First, build the tools for tool_node in self.tools: - tool_node.build(user_id=user_id) + await tool_node.build(user_id=user_id) # Next, build the chains and the rest for chain_node in self.chains: - chain_node.build(tools=self.tools, user_id=user_id) + await chain_node.build(tools=self.tools, user_id=user_id) - self._build(user_id=user_id) + await self._build(user_id=user_id) return self._built_object class ToolVertex(Vertex): - def __init__(self, data: Dict, params: Optional[Dict] = None): - super().__init__(data, base_type="tools", params=params) + def __init__( + self, + data: Dict, + graph, + params: Optional[Dict] = None, + ): + super().__init__(data, graph=graph, base_type="tools", params=params) class LLMVertex(Vertex): built_node_type = None class_built_object = None - def __init__(self, data: Dict, params: Optional[Dict] = None): - super().__init__(data, base_type="llms", params=params) + def __init__(self, data: Dict, graph, params: Optional[Dict] = None): + super().__init__(data, graph=graph, base_type="llms", params=params) - def build(self, force: bool = False, user_id=None, *args, **kwargs) -> Any: + async def build(self, force: bool = False, user_id=None, *args, **kwargs) -> Any: # LLM is different because some models might take up too much memory # or time to load. So we only load them when we need them.ß if self.vertex_type == self.built_node_type: return self.class_built_object if not self._built or force: - self._build(user_id=user_id) + await self._build(user_id=user_id) self.built_node_type = self.vertex_type self.class_built_object = self._built_object # Avoid deepcopying the LLM @@ -77,41 +82,39 @@ class LLMVertex(Vertex): class ToolkitVertex(Vertex): - def __init__(self, data: Dict, params=None): - super().__init__(data, base_type="toolkits", params=params) + def __init__(self, data: Dict, graph, params=None): + super().__init__(data, graph=graph, base_type="toolkits", params=params) class FileToolVertex(ToolVertex): - def __init__(self, data: Dict, params=None): - super().__init__(data, params=params) + def __init__(self, data: Dict, graph, params=None): + super().__init__(data, graph=graph, params=params) class WrapperVertex(Vertex): - def __init__(self, data: Dict): - super().__init__(data, base_type="wrappers") + def __init__(self, data: Dict, graph): + super().__init__(data, graph=graph, base_type="wrappers") - def build(self, force: bool = False, user_id=None, *args, **kwargs) -> Any: + async def build(self, force: bool = False, user_id=None, *args, **kwargs) -> Any: if not self._built or force: if "headers" in self.params: self.params["headers"] = ast.literal_eval(self.params["headers"]) - self._build(user_id=user_id) + await self._build(user_id=user_id) return self._built_object class DocumentLoaderVertex(Vertex): - def __init__(self, data: Dict, params: Optional[Dict] = None): - super().__init__(data, base_type="documentloaders", params=params) + def __init__(self, data: Dict, graph, params: Optional[Dict] = None): + super().__init__(data, graph=graph, base_type="documentloaders", params=params) def _built_object_repr(self): # This built_object is a list of documents. Maybe we should # show how many documents are in the list? - if self._built_object: - avg_length = sum( - len(doc.page_content) - for doc in self._built_object - if hasattr(doc, "page_content") - ) / len(self._built_object) + if self._built_object and not isinstance(self._built_object, UnbuiltObject): + avg_length = sum(len(doc.page_content) for doc in self._built_object if hasattr(doc, "page_content")) / len( + self._built_object + ) return f"""{self.vertex_type}({len(self._built_object)} documents) \nAvg. Document Length (characters): {int(avg_length)} Documents: {self._built_object[:3]}...""" @@ -119,28 +122,19 @@ class DocumentLoaderVertex(Vertex): class EmbeddingVertex(Vertex): - def __init__(self, data: Dict, params: Optional[Dict] = None): - super().__init__(data, base_type="embeddings", params=params) + def __init__(self, data: Dict, graph, params: Optional[Dict] = None): + super().__init__(data, graph=graph, base_type="embeddings", params=params) class VectorStoreVertex(Vertex): - def __init__(self, data: Dict, params=None): - super().__init__(data, base_type="vectorstores") + def __init__(self, data: Dict, graph, params=None): + super().__init__(data, graph=graph, base_type="vectorstores") self.params = params or {} # VectorStores may contain databse connections # so we need to define the __reduce__ method and the __setstate__ method # to avoid pickling errors - def clean_edges_for_pickling(self): - # for each edge that has self as source - # we need to clear the _built_object of the target - # so that we don't try to pickle a database connection - for edge in self.edges: - if edge.source == self: - edge.target._built_object = None - edge.target._built = False - edge.target.params[edge.target_param] = self def remove_docs_and_texts_from_params(self): # remove documents and texts from params @@ -148,17 +142,16 @@ class VectorStoreVertex(Vertex): self.params.pop("documents", None) self.params.pop("texts", None) - def __getstate__(self): - # We want to save the params attribute - # and if "documents" or "texts" are in the params - # we want to remove them because they have already - # been processed. - params = self.params.copy() - params.pop("documents", None) - params.pop("texts", None) - self.clean_edges_for_pickling() + # def __getstate__(self): + # # We want to save the params attribute + # # and if "documents" or "texts" are in the params + # # we want to remove them because they have already + # # been processed. + # params = self.params.copy() + # params.pop("documents", None) + # params.pop("texts", None) - return super().__getstate__() + # return super().__getstate__() def __setstate__(self, state): super().__setstate__(state) @@ -166,27 +159,25 @@ class VectorStoreVertex(Vertex): class MemoryVertex(Vertex): - def __init__(self, data: Dict): - super().__init__(data, base_type="memory") + def __init__(self, data: Dict, graph): + super().__init__(data, graph=graph, base_type="memory") class RetrieverVertex(Vertex): - def __init__(self, data: Dict): - super().__init__(data, base_type="retrievers") + def __init__(self, data: Dict, graph): + super().__init__(data, graph=graph, base_type="retrievers") class TextSplitterVertex(Vertex): - def __init__(self, data: Dict, params: Optional[Dict] = None): - super().__init__(data, base_type="textsplitters", params=params) + def __init__(self, data: Dict, graph, params: Optional[Dict] = None): + super().__init__(data, graph=graph, base_type="textsplitters", params=params) def _built_object_repr(self): # This built_object is a list of documents. Maybe we should # show how many documents are in the list? - if self._built_object: - avg_length = sum(len(doc.page_content) for doc in self._built_object) / len( - self._built_object - ) + if self._built_object and not isinstance(self._built_object, UnbuiltObject): + avg_length = sum(len(doc.page_content) for doc in self._built_object) / len(self._built_object) return f"""{self.vertex_type}({len(self._built_object)} documents) \nAvg. Document Length (characters): {int(avg_length)} \nDocuments: {self._built_object[:3]}...""" @@ -194,10 +185,10 @@ class TextSplitterVertex(Vertex): class ChainVertex(Vertex): - def __init__(self, data: Dict): - super().__init__(data, base_type="chains") + def __init__(self, data: Dict, graph): + super().__init__(data, graph=graph, base_type="chains") - def build( + async def build( self, force: bool = False, user_id=None, @@ -205,6 +196,8 @@ class ChainVertex(Vertex): **kwargs, ) -> Any: if not self._built or force: + # Temporarily remove the code from the params + self.params.pop("code", None) # Check if the chain requires a PromptVertex # Temporarily remove "code" from the params @@ -214,18 +207,18 @@ class ChainVertex(Vertex): if isinstance(value, PromptVertex): # Build the PromptVertex, passing the tools if available tools = kwargs.get("tools", None) - self.params[key] = value.build(tools=tools, force=force) + self.params[key] = await value.build(tools=tools, force=force) - self._build(user_id=user_id) + await self._build(user_id=user_id) return self._built_object class PromptVertex(Vertex): - def __init__(self, data: Dict): - super().__init__(data, base_type="prompts") + def __init__(self, data: Dict, graph): + super().__init__(data, graph=graph, base_type="prompts") - def build( + async def build( self, force: bool = False, user_id=None, @@ -234,27 +227,18 @@ class PromptVertex(Vertex): **kwargs, ) -> Any: if not self._built or force: - if ( - "input_variables" not in self.params - or self.params["input_variables"] is None - ): + if "input_variables" not in self.params or self.params["input_variables"] is None: self.params["input_variables"] = [] # Check if it is a ZeroShotPrompt and needs a tool if "ShotPrompt" in self.vertex_type: - tools = ( - [tool_node.build(user_id=user_id) for tool_node in tools] - if tools is not None - else [] - ) + tools = [await tool_node.build(user_id=user_id) for tool_node in tools] if tools is not None else [] # flatten the list of tools if it is a list of lists # first check if it is a list if tools and isinstance(tools, list) and isinstance(tools[0], list): tools = flatten_list(tools) self.params["tools"] = tools prompt_params = [ - key - for key, value in self.params.items() - if isinstance(value, str) and key != "format_instructions" + key for key, value in self.params.items() if isinstance(value, str) and key != "format_instructions" ] else: prompt_params = ["template"] @@ -264,21 +248,15 @@ class PromptVertex(Vertex): prompt_text = self.params[param] variables = extract_input_variables_from_prompt(prompt_text) self.params["input_variables"].extend(variables) - self.params["input_variables"] = list( - set(self.params["input_variables"]) - ) + self.params["input_variables"] = list(set(self.params["input_variables"])) elif isinstance(self.params, dict): self.params.pop("input_variables", None) - self._build(user_id=user_id) + await self._build(user_id=user_id) return self._built_object def _built_object_repr(self): - if ( - not self.artifacts - or self._built_object is None - or not hasattr(self._built_object, "format") - ): + if not self.artifacts or self._built_object is None or not hasattr(self._built_object, "format"): return super()._built_object_repr() # We'll build the prompt with the artifacts # to show the user what the prompt looks like @@ -288,33 +266,31 @@ class PromptVertex(Vertex): # so the prompt format doesn't break artifacts.pop("handle_keys", None) try: - if not hasattr(self._built_object, "template") and hasattr( - self._built_object, "prompt" + if ( + not hasattr(self._built_object, "template") + and hasattr(self._built_object, "prompt") + and not isinstance(self._built_object, UnbuiltObject) ): template = self._built_object.prompt.template - else: + elif not isinstance(self._built_object, UnbuiltObject) and hasattr(self._built_object, "template"): template = self._built_object.template for key, value in artifacts.items(): if value: replace_key = "{" + key + "}" template = template.replace(replace_key, value) - return ( - template - if isinstance(template, str) - else f"{self.vertex_type}({template})" - ) + return template if isinstance(template, str) else f"{self.vertex_type}({template})" except KeyError: return str(self._built_object) class OutputParserVertex(Vertex): - def __init__(self, data: Dict): - super().__init__(data, base_type="output_parsers") + def __init__(self, data: Dict, graph): + super().__init__(data, graph=graph, base_type="output_parsers") class CustomComponentVertex(Vertex): - def __init__(self, data: Dict): - super().__init__(data, base_type="custom_components", is_task=True) + def __init__(self, data: Dict, graph): + super().__init__(data, graph=graph, base_type="custom_components", is_task=False) def _built_object_repr(self): if self.task_id and self.is_task: diff --git a/src/backend/langflow/interface/agents/base.py b/src/backend/langflow/interface/agents/base.py index 74f07cd1e..9c0210b27 100644 --- a/src/backend/langflow/interface/agents/base.py +++ b/src/backend/langflow/interface/agents/base.py @@ -5,7 +5,7 @@ from langchain.agents import types from langflow.custom.customs import get_custom_nodes from langflow.interface.agents.custom import CUSTOM_AGENTS from langflow.interface.base import LangChainTypeCreator -from langflow.services.getters import get_settings_service +from langflow.services.deps import get_settings_service from langflow.template.frontend_node.agents import AgentFrontendNode from loguru import logger @@ -42,9 +42,7 @@ class AgentCreator(LangChainTypeCreator): add_function=True, method_name=self.from_method_nodes[name], ) - return build_template_from_class( - name, self.type_to_loader_dict, add_function=True - ) + return build_template_from_class(name, self.type_to_loader_dict, add_function=True) except ValueError as exc: raise ValueError("Agent not found") from exc except AttributeError as exc: @@ -56,15 +54,8 @@ class AgentCreator(LangChainTypeCreator): names = [] settings_service = get_settings_service() for _, agent in self.type_to_loader_dict.items(): - agent_name = ( - agent.function_name() - if hasattr(agent, "function_name") - else agent.__name__ - ) - if ( - agent_name in settings_service.settings.AGENTS - or settings_service.settings.DEV - ): + agent_name = agent.function_name() if hasattr(agent, "function_name") else agent.__name__ + if agent_name in settings_service.settings.AGENTS or settings_service.settings.DEV: names.append(agent_name) return names diff --git a/src/backend/langflow/interface/agents/custom.py b/src/backend/langflow/interface/agents/custom.py index a66b18e0b..512623ef2 100644 --- a/src/backend/langflow/interface/agents/custom.py +++ b/src/backend/langflow/interface/agents/custom.py @@ -1,13 +1,6 @@ from typing import Any, List, Optional -from langchain.chains.llm import LLMChain -from langchain.agents import ( - AgentExecutor, - Tool, - ZeroShotAgent, - initialize_agent, - AgentType, -) +from langchain.agents import AgentExecutor, AgentType, Tool, ZeroShotAgent, initialize_agent from langchain.agents.agent_toolkits import ( SQLDatabaseToolkit, VectorStoreInfo, @@ -16,25 +9,18 @@ from langchain.agents.agent_toolkits import ( ) from langchain.agents.agent_toolkits.json.prompt import JSON_PREFIX, JSON_SUFFIX from langchain.agents.agent_toolkits.json.toolkit import JsonToolkit -from langchain_experimental.agents.agent_toolkits.pandas.prompt import ( - PREFIX as PANDAS_PREFIX, -) -from langchain_experimental.agents.agent_toolkits.pandas.prompt import ( - SUFFIX_WITH_DF as PANDAS_SUFFIX, -) from langchain.agents.agent_toolkits.sql.prompt import SQL_PREFIX, SQL_SUFFIX -from langchain.agents.agent_toolkits.vectorstore.prompt import ( - PREFIX as VECTORSTORE_PREFIX, -) -from langchain.agents.agent_toolkits.vectorstore.prompt import ( - ROUTER_PREFIX as VECTORSTORE_ROUTER_PREFIX, -) +from langchain.agents.agent_toolkits.vectorstore.prompt import PREFIX as VECTORSTORE_PREFIX +from langchain.agents.agent_toolkits.vectorstore.prompt import ROUTER_PREFIX as VECTORSTORE_ROUTER_PREFIX from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS from langchain.base_language import BaseLanguageModel +from langchain.chains.llm import LLMChain from langchain.memory.chat_memory import BaseChatMemory from langchain.sql_database import SQLDatabase -from langchain_experimental.tools.python.tool import PythonAstREPLTool from langchain.tools.sql_database.prompt import QUERY_CHECKER +from langchain_experimental.agents.agent_toolkits.pandas.prompt import PREFIX as PANDAS_PREFIX +from langchain_experimental.agents.agent_toolkits.pandas.prompt import SUFFIX_WITH_DF as PANDAS_SUFFIX +from langchain_experimental.tools.python.tool import PythonAstREPLTool from langflow.interface.base import CustomAgentExecutor @@ -55,7 +41,7 @@ class JsonAgent(CustomAgentExecutor): @classmethod def from_toolkit_and_llm(cls, toolkit: JsonToolkit, llm: BaseLanguageModel): tools = toolkit if isinstance(toolkit, list) else toolkit.get_tools() - tool_names = {tool.name for tool in tools} + tool_names = list({tool.name for tool in tools}) prompt = ZeroShotAgent.create_prompt( tools, prefix=JSON_PREFIX, @@ -68,7 +54,8 @@ class JsonAgent(CustomAgentExecutor): prompt=prompt, ) agent = ZeroShotAgent( - llm_chain=llm_chain, allowed_tools=tool_names # type: ignore + llm_chain=llm_chain, + allowed_tools=tool_names, # type: ignore ) return cls.from_agent_and_tools(agent=agent, tools=tools, verbose=True) @@ -92,11 +79,7 @@ class CSVAgent(CustomAgentExecutor): @classmethod def from_toolkit_and_llm( - cls, - path: str, - llm: BaseLanguageModel, - pandas_kwargs: Optional[dict] = None, - **kwargs: Any + cls, path: str, llm: BaseLanguageModel, pandas_kwargs: Optional[dict] = None, **kwargs: Any ): import pandas as pd # type: ignore @@ -115,9 +98,11 @@ class CSVAgent(CustomAgentExecutor): llm=llm, prompt=partial_prompt, ) - tool_names = {tool.name for tool in tools} + tool_names = list({tool.name for tool in tools}) agent = ZeroShotAgent( - llm_chain=llm_chain, allowed_tools=tool_names, **kwargs # type: ignore + llm_chain=llm_chain, + allowed_tools=tool_names, + **kwargs, # type: ignore ) return cls.from_agent_and_tools(agent=agent, tools=tools, verbose=True) @@ -141,9 +126,7 @@ class VectorStoreAgent(CustomAgentExecutor): super().__init__(*args, **kwargs) @classmethod - def from_toolkit_and_llm( - cls, llm: BaseLanguageModel, vectorstoreinfo: VectorStoreInfo, **kwargs: Any - ): + def from_toolkit_and_llm(cls, llm: BaseLanguageModel, vectorstoreinfo: VectorStoreInfo, **kwargs: Any): """Construct a vectorstore agent from an LLM and tools.""" toolkit = VectorStoreToolkit(vectorstore_info=vectorstoreinfo, llm=llm) @@ -154,13 +137,13 @@ class VectorStoreAgent(CustomAgentExecutor): llm=llm, prompt=prompt, ) - tool_names = {tool.name for tool in tools} + tool_names = list({tool.name for tool in tools}) agent = ZeroShotAgent( - llm_chain=llm_chain, allowed_tools=tool_names, **kwargs # type: ignore - ) - return AgentExecutor.from_agent_and_tools( - agent=agent, tools=tools, verbose=True, handle_parsing_errors=True + llm_chain=llm_chain, + allowed_tools=tool_names, + **kwargs, # type: ignore ) + return AgentExecutor.from_agent_and_tools(agent=agent, tools=tools, verbose=True, handle_parsing_errors=True) def run(self, *args, **kwargs): return super().run(*args, **kwargs) @@ -181,9 +164,7 @@ class SQLAgent(CustomAgentExecutor): super().__init__(*args, **kwargs) @classmethod - def from_toolkit_and_llm( - cls, llm: BaseLanguageModel, database_uri: str, **kwargs: Any - ): + def from_toolkit_and_llm(cls, llm: BaseLanguageModel, database_uri: str, **kwargs: Any): """Construct an SQL agent from an LLM and tools.""" db = SQLDatabase.from_uri(database_uri) toolkit = SQLDatabaseToolkit(db=db, llm=llm) @@ -201,9 +182,7 @@ class SQLAgent(CustomAgentExecutor): llmchain = LLMChain( llm=llm, - prompt=PromptTemplate( - template=QUERY_CHECKER, input_variables=["query", "dialect"] - ), + prompt=PromptTemplate(template=QUERY_CHECKER, input_variables=["query", "dialect"]), ) tools = [ @@ -224,9 +203,11 @@ class SQLAgent(CustomAgentExecutor): llm=llm, prompt=prompt, ) - tool_names = {tool.name for tool in tools} # type: ignore + tool_names = list({tool.name for tool in tools}) # type: ignore agent = ZeroShotAgent( - llm_chain=llm_chain, allowed_tools=tool_names, **kwargs # type: ignore + llm_chain=llm_chain, + allowed_tools=tool_names, + **kwargs, # type: ignore ) return AgentExecutor.from_agent_and_tools( agent=agent, @@ -257,10 +238,7 @@ class VectorStoreRouterAgent(CustomAgentExecutor): @classmethod def from_toolkit_and_llm( - cls, - llm: BaseLanguageModel, - vectorstoreroutertoolkit: VectorStoreRouterToolkit, - **kwargs: Any + cls, llm: BaseLanguageModel, vectorstoreroutertoolkit: VectorStoreRouterToolkit, **kwargs: Any ): """Construct a vector store router agent from an LLM and tools.""" @@ -274,13 +252,13 @@ class VectorStoreRouterAgent(CustomAgentExecutor): llm=llm, prompt=prompt, ) - tool_names = {tool.name for tool in tools} + tool_names = list({tool.name for tool in tools}) agent = ZeroShotAgent( - llm_chain=llm_chain, allowed_tools=tool_names, **kwargs # type: ignore - ) - return AgentExecutor.from_agent_and_tools( - agent=agent, tools=tools, verbose=True, handle_parsing_errors=True + llm_chain=llm_chain, + allowed_tools=tool_names, + **kwargs, # type: ignore ) + return AgentExecutor.from_agent_and_tools(agent=agent, tools=tools, verbose=True, handle_parsing_errors=True) def run(self, *args, **kwargs): return super().run(*args, **kwargs) diff --git a/src/backend/langflow/interface/base.py b/src/backend/langflow/interface/base.py index 13dd05619..d535838ac 100644 --- a/src/backend/langflow/interface/base.py +++ b/src/backend/langflow/interface/base.py @@ -2,7 +2,7 @@ from abc import ABC, abstractmethod from typing import Any, Dict, List, Optional, Type, Union from langchain.chains.base import Chain from langchain.agents import AgentExecutor -from langflow.services.getters import get_settings_service +from langflow.services.deps import get_settings_service from pydantic import BaseModel from langflow.template.field.base import TemplateField @@ -30,13 +30,8 @@ class LangChainTypeCreator(BaseModel, ABC): settings_service = get_settings_service() if self.name_docs_dict is None: try: - type_settings = getattr( - settings_service.settings, self.type_name.upper() - ) - self.name_docs_dict = { - name: value_dict["documentation"] - for name, value_dict in type_settings.items() - } + type_settings = getattr(settings_service.settings, self.type_name.upper()) + self.name_docs_dict = {name: value_dict["documentation"] for name, value_dict in type_settings.items()} except AttributeError as exc: logger.error(f"Error getting settings for {self.type_name}: {exc}") @@ -88,7 +83,6 @@ class LangChainTypeCreator(BaseModel, ABC): show=value.get("show", True), multiline=value.get("multiline", False), value=value.get("value", None), - suffixes=value.get("suffixes", []), file_types=value.get("fileTypes", []), file_path=value.get("file_path", None), ) diff --git a/src/backend/langflow/interface/chains/base.py b/src/backend/langflow/interface/chains/base.py index 3f324643d..8017902bd 100644 --- a/src/backend/langflow/interface/chains/base.py +++ b/src/backend/langflow/interface/chains/base.py @@ -3,7 +3,7 @@ from typing import Any, ClassVar, Dict, List, Optional, Type from langflow.custom.customs import get_custom_nodes from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.services.getters import get_settings_service +from langflow.services.deps import get_settings_service from langflow.template.frontend_node.chains import ChainFrontendNode from loguru import logger @@ -33,8 +33,7 @@ class ChainCreator(LangChainTypeCreator): if self.type_dict is None: settings_service = get_settings_service() self.type_dict: dict[str, Any] = { - chain_name: import_class(f"langchain.chains.{chain_name}") - for chain_name in chains.__all__ + chain_name: import_class(f"langchain.chains.{chain_name}") for chain_name in chains.__all__ } from langflow.interface.chains.custom import CUSTOM_CHAINS @@ -45,8 +44,7 @@ class ChainCreator(LangChainTypeCreator): self.type_dict = { name: chain for name, chain in self.type_dict.items() - if name in settings_service.settings.CHAINS - or settings_service.settings.DEV + if name in settings_service.settings.CHAINS or settings_service.settings.DEV } return self.type_dict @@ -61,9 +59,7 @@ class ChainCreator(LangChainTypeCreator): method_name=self.from_method_nodes[name], add_function=True, ) - return build_template_from_class( - name, self.type_to_loader_dict, add_function=True - ) + return build_template_from_class(name, self.type_to_loader_dict, add_function=True) except ValueError as exc: raise ValueError(f"Chain {name} not found: {exc}") from exc except AttributeError as exc: @@ -73,11 +69,7 @@ class ChainCreator(LangChainTypeCreator): def to_list(self) -> List[str]: names = [] for _, chain in self.type_to_loader_dict.items(): - chain_name = ( - chain.function_name() - if hasattr(chain, "function_name") - else chain.__name__ - ) + chain_name = chain.function_name() if hasattr(chain, "function_name") else chain.__name__ names.append(chain_name) return names diff --git a/src/backend/langflow/interface/chains/custom.py b/src/backend/langflow/interface/chains/custom.py index edc8a06c0..01aad73c3 100644 --- a/src/backend/langflow/interface/chains/custom.py +++ b/src/backend/langflow/interface/chains/custom.py @@ -41,9 +41,7 @@ class BaseCustomConversationChain(ConversationChain): values["template"] = values["template"].format(**format_dict) values["template"] = values["template"] - values["input_variables"] = extract_input_variables_from_prompt( - values["template"] - ) + values["input_variables"] = extract_input_variables_from_prompt(values["template"]) values["prompt"].template = values["template"] values["prompt"].input_variables = values["input_variables"] return values @@ -54,9 +52,7 @@ class SeriesCharacterChain(BaseCustomConversationChain): character: str series: str - template: Optional[ - str - ] = """I want you to act like {character} from {series}. + template: Optional[str] = """I want you to act like {character} from {series}. I want you to respond and answer like {character}. do not write any explanations. only answer like {character}. You must know all of the knowledge of {character}. Current conversation: @@ -71,9 +67,7 @@ Human: {input} class MidJourneyPromptChain(BaseCustomConversationChain): """MidJourneyPromptChain is a chain you can use to generate new MidJourney prompts.""" - template: Optional[ - str - ] = """I want you to act as a prompt generator for Midjourney's artificial intelligence program. + template: Optional[str] = """I want you to act as a prompt generator for Midjourney's artificial intelligence program. Your job is to provide detailed and creative descriptions that will inspire unique and interesting images from the AI. Keep in mind that the AI is capable of understanding a wide range of language and can interpret abstract concepts, so feel free to be as imaginative and descriptive as possible. For example, you could describe a scene from a futuristic city, or a surreal landscape filled with strange creatures. @@ -87,9 +81,7 @@ class MidJourneyPromptChain(BaseCustomConversationChain): class TimeTravelGuideChain(BaseCustomConversationChain): - template: Optional[ - str - ] = """I want you to act as my time travel guide. You are helpful and creative. I will provide you with the historical period or future time I want to visit and you will suggest the best events, sights, or people to experience. Provide the suggestions and any necessary information. + template: Optional[str] = """I want you to act as my time travel guide. You are helpful and creative. I will provide you with the historical period or future time I want to visit and you will suggest the best events, sights, or people to experience. Provide the suggestions and any necessary information. Current conversation: {history} Human: {input} diff --git a/src/backend/langflow/interface/custom/code_parser.py b/src/backend/langflow/interface/custom/code_parser.py index d42f82635..a7bf8023c 100644 --- a/src/backend/langflow/interface/custom/code_parser.py +++ b/src/backend/langflow/interface/custom/code_parser.py @@ -1,9 +1,12 @@ import ast import inspect +import operator import traceback +from typing import Any, Dict, List, Type, Union -from typing import Dict, Any, List, Type, Union +from cachetools import TTLCache, cachedmethod, keys from fastapi import HTTPException + from langflow.interface.custom.schema import CallableCodeDetails, ClassCodeDetails @@ -11,6 +14,19 @@ class CodeSyntaxError(HTTPException): pass +def get_data_type(): + from langflow.field_typing import Data + + return Data + + +def imports_key(*args, **kwargs): + imports = kwargs.pop("imports") + key = keys.methodkey(*args, **kwargs) + key += tuple(imports) + return key + + class CodeParser: """ A parser for Python source code, extracting code details. @@ -20,6 +36,7 @@ class CodeParser: """ Initializes the parser with the provided code. """ + self.cache: TTLCache = TTLCache(maxsize=1024, ttl=60) if isinstance(code, type): if not inspect.isclass(code): raise ValueError("The provided code must be a class.") @@ -65,14 +82,20 @@ class CodeParser: def parse_imports(self, node: Union[ast.Import, ast.ImportFrom]) -> None: """ - Extracts "imports" from the code. + Extracts "imports" from the code, including aliases. """ if isinstance(node, ast.Import): for alias in node.names: - self.data["imports"].append(alias.name) + if alias.asname: + self.data["imports"].append(f"{alias.name} as {alias.asname}") + else: + self.data["imports"].append(alias.name) elif isinstance(node, ast.ImportFrom): for alias in node.names: - self.data["imports"].append((node.module, alias.name)) + if alias.asname: + self.data["imports"].append((node.module, f"{alias.name} as {alias.asname}")) + else: + self.data["imports"].append((node.module, alias.name)) def parse_functions(self, node: ast.FunctionDef) -> None: """ @@ -89,22 +112,54 @@ class CodeParser: arg_dict["type"] = ast.unparse(arg.annotation) return arg_dict + @cachedmethod(operator.attrgetter("cache")) + def construct_eval_env(self, return_type_str: str, imports) -> dict: + """ + Constructs an evaluation environment with the necessary imports for the return type, + taking into account module aliases. + """ + eval_env: dict = {} + for import_entry in imports: + if isinstance(import_entry, tuple): # from module import name + module, name = import_entry + if name in return_type_str: + exec(f"import {module}", eval_env) + exec(f"from {module} import {name}", eval_env) + else: # import module + module = import_entry + alias = None + if " as " in module: + module, alias = module.split(" as ") + if module in return_type_str or (alias and alias in return_type_str): + exec(f"import {module} as {alias if alias else module}", eval_env) + return eval_env + + @cachedmethod(cache=operator.attrgetter("cache")) def parse_callable_details(self, node: ast.FunctionDef) -> Dict[str, Any]: """ Extracts details from a single function or method node. """ + return_type = None + if node.returns: + return_type_str = ast.unparse(node.returns) + eval_env = self.construct_eval_env(return_type_str, tuple(self.data["imports"])) + + try: + return_type = eval(return_type_str, eval_env) + except NameError: + # Handle cases where the type is not found in the constructed environment + pass + func = CallableCodeDetails( name=node.name, doc=ast.get_docstring(node), - args=[], - body=[], - return_type=ast.unparse(node.returns) if node.returns else None, + args=self.parse_function_args(node), + body=self.parse_function_body(node), + return_type=return_type or get_data_type(), + has_return=self.parse_return_statement(node), ) - func.args = self.parse_function_args(node) - func.body = self.parse_function_body(node) - - return func.dict() + return func.model_dump() def parse_function_args(self, node: ast.FunctionDef) -> List[Dict[str, Any]]: """ @@ -115,7 +170,9 @@ class CodeParser: args += self.parse_positional_args(node) args += self.parse_varargs(node) args += self.parse_keyword_args(node) - args += self.parse_kwargs(node) + # Commented out because we don't want kwargs + # showing up as fields in the frontend + # args += self.parse_kwargs(node) return args @@ -127,22 +184,14 @@ class CodeParser: num_defaults = len(node.args.defaults) num_missing_defaults = num_args - num_defaults missing_defaults = [None] * num_missing_defaults - default_values = [ - ast.unparse(default).strip("'") if default else None - for default in node.args.defaults - ] + default_values = [ast.unparse(default).strip("'") if default else None for default in node.args.defaults] # Now check all default values to see if there # are any "None" values in the middle - default_values = [ - None if value == "None" else value for value in default_values - ] + default_values = [None if value == "None" else value for value in default_values] defaults = missing_defaults + default_values - args = [ - self.parse_arg(arg, default) - for arg, default in zip(node.args.args, defaults) - ] + args = [self.parse_arg(arg, default) for arg, default in zip(node.args.args, defaults)] return args def parse_varargs(self, node: ast.FunctionDef) -> List[Dict[str, Any]]: @@ -160,17 +209,11 @@ class CodeParser: """ Parses the keyword-only arguments of a function or method node. """ - kw_defaults = [None] * ( - len(node.args.kwonlyargs) - len(node.args.kw_defaults) - ) + [ - ast.unparse(default) if default else None - for default in node.args.kw_defaults + kw_defaults = [None] * (len(node.args.kwonlyargs) - len(node.args.kw_defaults)) + [ + ast.unparse(default) if default else None for default in node.args.kw_defaults ] - args = [ - self.parse_arg(arg, default) - for arg, default in zip(node.args.kwonlyargs, kw_defaults) - ] + args = [self.parse_arg(arg, default) for arg, default in zip(node.args.kwonlyargs, kw_defaults)] return args def parse_kwargs(self, node: ast.FunctionDef) -> List[Dict[str, Any]]: @@ -190,6 +233,13 @@ class CodeParser: """ return [ast.unparse(line) for line in node.body] + def parse_return_statement(self, node: ast.FunctionDef) -> bool: + """ + Parses the return statement of a function or method node. + """ + + return any(isinstance(n, ast.Return) for n in node.body) + def parse_assign(self, stmt): """ Parses an Assign statement and returns a dictionary @@ -240,23 +290,21 @@ class CodeParser: elif isinstance(stmt, ast.AnnAssign): if attr := self.parse_ann_assign(stmt): class_details.attributes.append(attr) - elif isinstance(stmt, ast.FunctionDef): + elif isinstance(stmt, (ast.FunctionDef, ast.AsyncFunctionDef)): method, is_init = self.parse_function_def(stmt) if is_init: class_details.init = method else: class_details.methods.append(method) - self.data["classes"].append(class_details.dict()) + self.data["classes"].append(class_details.model_dump()) def parse_global_vars(self, node: ast.Assign) -> None: """ Extracts global variables from the code. """ global_var = { - "targets": [ - t.id if hasattr(t, "id") else ast.dump(t) for t in node.targets - ], + "targets": [t.id if hasattr(t, "id") else ast.dump(t) for t in node.targets], "value": ast.unparse(node.value), } self.data["global_vars"].append(global_var) diff --git a/src/backend/langflow/interface/custom/component.py b/src/backend/langflow/interface/custom/component.py index 2e88b1f26..594ec982f 100644 --- a/src/backend/langflow/interface/custom/component.py +++ b/src/backend/langflow/interface/custom/component.py @@ -1,9 +1,13 @@ import ast +import operator +import warnings from typing import Any, ClassVar, Optional + +from cachetools import TTLCache, cachedmethod from fastapi import HTTPException -from langflow.utils import validate from langflow.interface.custom.code_parser import CodeParser +from langflow.utils import validate class ComponentCodeNullError(HTTPException): @@ -16,18 +20,27 @@ class ComponentFunctionEntrypointNameNullError(HTTPException): class Component: ERROR_CODE_NULL: ClassVar[str] = "Python code must be provided." - ERROR_FUNCTION_ENTRYPOINT_NAME_NULL: ClassVar[ - str - ] = "The name of the entrypoint function must be provided." + ERROR_FUNCTION_ENTRYPOINT_NAME_NULL: ClassVar[str] = "The name of the entrypoint function must be provided." code: Optional[str] = None _function_entrypoint_name: str = "build" field_config: dict = {} + _user_id: Optional[str] def __init__(self, **data): + self.cache = TTLCache(maxsize=1024, ttl=60) for key, value in data.items(): - setattr(self, key, value) + if key == "user_id": + setattr(self, "_user_id", value) + else: + setattr(self, key, value) + def __setattr__(self, key, value): + if key == "_user_id" and hasattr(self, "_user_id"): + warnings.warn("user_id is immutable and cannot be changed.") + super().__setattr__(key, value) + + @cachedmethod(cache=operator.attrgetter("cache")) def get_code_tree(self, code: str): parser = CodeParser(code) return parser.parse_code() diff --git a/src/backend/langflow/interface/custom/constants.py b/src/backend/langflow/interface/custom/constants.py deleted file mode 100644 index 6df72500c..000000000 --- a/src/backend/langflow/interface/custom/constants.py +++ /dev/null @@ -1,33 +0,0 @@ -DEFAULT_CUSTOM_COMPONENT_CODE = """from langflow import CustomComponent - -from langflow.field_typing import ( - Tool, - PromptTemplate, - Chain, - BaseChatMemory, - BaseLLM, - BaseLoader, - BaseMemory, - BaseOutputParser, - BaseRetriever, - VectorStore, - Embeddings, - TextSplitter, - Document, - AgentExecutor, - NestedDict, - Data, -) - - -class Component(CustomComponent): - display_name: str = "Custom Component" - description: str = "Create any custom component you want!" - - def build_config(self): - return {"param": {"display_name": "Parameter"}} - - def build(self, param: Data) -> Data: - return param - -""" diff --git a/src/backend/langflow/interface/custom/custom_component.py b/src/backend/langflow/interface/custom/custom_component.py index b1066eab0..438cc50cf 100644 --- a/src/backend/langflow/interface/custom/custom_component.py +++ b/src/backend/langflow/interface/custom/custom_component.py @@ -1,17 +1,21 @@ +import operator from typing import Any, Callable, ClassVar, List, Optional, Union from uuid import UUID + +import yaml +from cachetools import TTLCache, cachedmethod from fastapi import HTTPException -from langflow.field_typing.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES + from langflow.interface.custom.component import Component from langflow.interface.custom.directory_reader import DirectoryReader -from langflow.services.getters import get_db_service -from langflow.interface.custom.utils import extract_inner_type, extract_union_types - -from langflow.utils import validate - -from langflow.services.database.utils import session_getter +from langflow.interface.custom.utils import ( + extract_inner_type_from_generic_alias, + extract_union_types_from_generic_alias, +) from langflow.services.database.models.flow import Flow -import yaml +from langflow.services.database.utils import session_getter +from langflow.services.deps import get_credential_service, get_db_service +from langflow.utils import validate class CustomComponent(Component): @@ -22,14 +26,18 @@ class CustomComponent(Component): code_class_base_inheritance: ClassVar[str] = "CustomComponent" function_entrypoint_name: ClassVar[str] = "build" function: Optional[Callable] = None - return_type_valid_list: List[str] = list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys()) repr_value: Optional[Any] = "" user_id: Optional[Union[UUID, str]] = None + status: Optional[Any] = None + _tree: Optional[dict] = None def __init__(self, **data): + self.cache = TTLCache(maxsize=1024, ttl=60) super().__init__(**data) def custom_repr(self): + if self.repr_value == "": + self.repr_value = self.status if isinstance(self.repr_value, dict): return yaml.dump(self.repr_value) if isinstance(self.repr_value, str): @@ -54,47 +62,28 @@ class CustomComponent(Component): reader = DirectoryReader("", False) for type_hint in TYPE_HINT_LIST: - if reader._is_type_hint_used_in_args( + if reader._is_type_hint_used_in_args(type_hint, code) and not reader._is_type_hint_imported( type_hint, code - ) and not reader._is_type_hint_imported(type_hint, code): + ): error_detail = { "error": "Type hint Error", "traceback": f"Type hint '{type_hint}' is used but not imported in the code.", } raise HTTPException(status_code=400, detail=error_detail) + return True - def is_check_valid(self) -> bool: + def validate(self) -> bool: return self._class_template_validation(self.code) if self.code else False - def get_code_tree(self, code: str): - return super().get_code_tree(code) + @property + def tree(self): + return self.get_code_tree(self.code) @property - def get_function_entrypoint_args(self) -> str: - if not self.code: - return "" - tree = self.get_code_tree(self.code) - - component_classes = [ - cls - for cls in tree["classes"] - if self.code_class_base_inheritance in cls["bases"] - ] - if not component_classes: - return "" - - # Assume the first Component class is the one we're interested in - component_class = component_classes[0] - build_methods = [ - method - for method in component_class["methods"] - if method["name"] == self.function_entrypoint_name - ] - - if not build_methods: - return "" - - build_method = build_methods[0] + def get_function_entrypoint_args(self) -> list: + build_method = self.get_build_method() + if not build_method: + return [] args = build_method["args"] for arg in args: @@ -104,66 +93,69 @@ class CustomComponent(Component): detail={ "error": "Type hint Error", "traceback": ( - "Prompt type is not supported in the build method." - " Try using PromptTemplate instead." + "Prompt type is not supported in the build method." " Try using PromptTemplate instead." ), }, ) - elif not arg.get("type"): + elif not arg.get("type") and arg.get("name") != "self": # Set the type to Data arg["type"] = "Data" return args - @property - def get_function_entrypoint_return_type(self) -> List[str]: + @cachedmethod(operator.attrgetter("cache")) + def get_build_method(self): if not self.code: return [] - tree = self.get_code_tree(self.code) - component_classes = [ - cls - for cls in tree["classes"] - if self.code_class_base_inheritance in cls["bases"] - ] + component_classes = [cls for cls in self.tree["classes"] if self.code_class_base_inheritance in cls["bases"]] if not component_classes: return [] # Assume the first Component class is the one we're interested in component_class = component_classes[0] build_methods = [ - method - for method in component_class["methods"] - if method["name"] == self.function_entrypoint_name + method for method in component_class["methods"] if method["name"] == self.function_entrypoint_name ] if not build_methods: return [] - build_method = build_methods[0] - return_type = build_method["return_type"] - if not return_type: + return build_methods[0] + + @property + def get_function_entrypoint_return_type(self) -> List[Any]: + build_method = self.get_build_method() + if not build_method: return [] + elif not build_method["has_return"]: + return [] + + return_type = build_method["return_type"] + # If list or List is in the return type, then we remove it and return the inner type - if return_type.startswith("list") or return_type.startswith("List"): - return_type = extract_inner_type(return_type) + if hasattr(return_type, "__origin__") and return_type.__origin__ in [list, List]: + return_type = extract_inner_type_from_generic_alias(return_type) # If the return type is not a Union, then we just return it as a list - if "Union" not in return_type: - return [return_type] if return_type in self.return_type_valid_list else [] + if not hasattr(return_type, "__origin__") or return_type.__origin__ != Union: + if isinstance(return_type, list): + return return_type + return [return_type] - # If the return type is a Union, then we need to parse it - return_type = extract_union_types(return_type) - return [item for item in return_type if item in self.return_type_valid_list] + # If the return type is a Union, then we need to parse itx + return_type = extract_union_types_from_generic_alias(return_type) + return return_type @property def get_main_class_name(self): - tree = self.get_code_tree(self.code) + if not self.code: + return "" base_name = self.code_class_base_inheritance method_name = self.function_entrypoint_name classes = [] - for item in tree.get("classes"): + for item in self.tree.get("classes", []): if base_name in item["bases"]: method_names = [method["name"] for method in item["methods"]] if method_name in method_names: @@ -174,11 +166,12 @@ class CustomComponent(Component): @property def build_template_config(self): - tree = self.get_code_tree(self.code) + if not self.code: + return {} attributes = [ main_class["attributes"] - for main_class in tree.get("classes") + for main_class in self.tree.get("classes", []) if main_class["name"] == self.get_main_class_name ] # Get just the first item @@ -186,13 +179,43 @@ class CustomComponent(Component): return super().build_template_config(attributes) + @property + def keys(self): + def get_credential(name: str): + if hasattr(self, "_user_id") and not self._user_id: + raise ValueError(f"User id is not set for {self.__class__.__name__}") + credential_service = get_credential_service() # Get service instance + # Retrieve and decrypt the credential by name for the current user + db_service = get_db_service() + with session_getter(db_service) as session: + return credential_service.get_credential(user_id=self._user_id or "", name=name, session=session) + + return get_credential + + def list_key_names(self): + if hasattr(self, "_user_id") and not self._user_id: + raise ValueError(f"User id is not set for {self.__class__.__name__}") + credential_service = get_credential_service() + db_service = get_db_service() + with session_getter(db_service) as session: + return credential_service.list_credentials(user_id=self._user_id, session=session) + + def index(self, value: int = 0): + """Returns a function that returns the value at the given index in the iterable.""" + + def get_index(iterable: List[Any]): + if iterable: + return iterable[value] + return iterable + + return get_index + @property def get_function(self): return validate.create_function(self.code, self.function_entrypoint_name) - def load_flow(self, flow_id: str, tweaks: Optional[dict] = None) -> Any: - from langflow.processing.process import build_sorted_vertices - from langflow.processing.process import process_tweaks + async def load_flow(self, flow_id: str, tweaks: Optional[dict] = None) -> Any: + from langflow.processing.process import build_sorted_vertices, process_tweaks db_service = get_db_service() with session_getter(db_service) as session: @@ -201,10 +224,10 @@ class CustomComponent(Component): raise ValueError(f"Flow {flow_id} not found") if tweaks: graph_data = process_tweaks(graph_data=graph_data, tweaks=tweaks) - return build_sorted_vertices(graph_data, self.user_id) + return await build_sorted_vertices(graph_data, self.user_id) def list_flows(self, *, get_session: Optional[Callable] = None) -> List[Flow]: - if not self.user_id: + if not self._user_id: raise ValueError("Session is invalid") try: get_session = get_session or session_getter @@ -215,7 +238,7 @@ class CustomComponent(Component): except Exception as e: raise ValueError("Session is invalid") from e - def get_flow( + async def get_flow( self, *, flow_name: Optional[str] = None, @@ -229,17 +252,13 @@ class CustomComponent(Component): if flow_id: flow = session.query(Flow).get(flow_id) elif flow_name: - flow = ( - session.query(Flow) - .filter(Flow.name == flow_name) - .filter(Flow.user_id == self.user_id) - ).first() + flow = (session.query(Flow).filter(Flow.name == flow_name).filter(Flow.user_id == self.user_id)).first() else: raise ValueError("Either flow_name or flow_id must be provided") if not flow: raise ValueError(f"Flow {flow_name or flow_id} not found") - return self.load_flow(flow.id, tweaks) + return await self.load_flow(flow.id, tweaks) def build(self, *args: Any, **kwargs: Any) -> Any: raise NotImplementedError diff --git a/src/backend/langflow/interface/custom/directory_reader.py b/src/backend/langflow/interface/custom/directory_reader.py index 01b11a4a6..e80f0bd28 100644 --- a/src/backend/langflow/interface/custom/directory_reader.py +++ b/src/backend/langflow/interface/custom/directory_reader.py @@ -76,9 +76,7 @@ class DirectoryReader: for menu in data["menu"] ] filtered = [menu for menu in items if menu["components"]] - logger.debug( - f'Filtered components {"with errors" if with_errors else ""}: {len(filtered)}' - ) + logger.debug(f'Filtered components {"with errors" if with_errors else ""}: {len(filtered)}') return {"menu": filtered} def validate_code(self, file_content): @@ -111,9 +109,7 @@ class DirectoryReader: Walk through the directory path and return a list of all .py files. """ if not (safe_path := self.get_safe_path()): - raise CustomComponentPathValueError( - f"The path needs to start with '{self.base_path}'." - ) + raise CustomComponentPathValueError(f"The path needs to start with '{self.base_path}'.") file_list = [] for root, _, files in os.walk(safe_path): @@ -158,9 +154,7 @@ class DirectoryReader: for node in ast.walk(module): if isinstance(node, ast.FunctionDef): for arg in node.args.args: - if self._is_type_hint_in_arg_annotation( - arg.annotation, type_hint_name - ): + if self._is_type_hint_in_arg_annotation(arg.annotation, type_hint_name): return True except SyntaxError: # Returns False if the code is not valid Python @@ -178,16 +172,14 @@ class DirectoryReader: and annotation.value.id == type_hint_name ) - def is_type_hint_used_but_not_imported( - self, type_hint_name: str, code: str - ) -> bool: + def is_type_hint_used_but_not_imported(self, type_hint_name: str, code: str) -> bool: """ Check if a type hint is used but not imported in the given code. """ try: - return self._is_type_hint_used_in_args( + return self._is_type_hint_used_in_args(type_hint_name, code) and not self._is_type_hint_imported( type_hint_name, code - ) and not self._is_type_hint_imported(type_hint_name, code) + ) except SyntaxError: # Returns True if there's something wrong with the code # TODO : Find a better way to handle this @@ -208,9 +200,9 @@ class DirectoryReader: return False, "Syntax error" elif not self.validate_build(file_content): return False, "Missing build function" - elif self._is_type_hint_used_in_args( + elif self._is_type_hint_used_in_args("Optional", file_content) and not self._is_type_hint_imported( "Optional", file_content - ) and not self._is_type_hint_imported("Optional", file_content): + ): return ( False, "Type hint 'Optional' is used but not imported in the code.", @@ -226,9 +218,7 @@ class DirectoryReader: from the .py files in the directory. """ response = {"menu": []} - logger.debug( - "-------------------- Building component menu list --------------------" - ) + logger.debug("-------------------- Building component menu list --------------------") for file_path in file_paths: menu_name = os.path.basename(os.path.dirname(file_path)) @@ -248,9 +238,7 @@ class DirectoryReader: # first check if it's already CamelCase if "_" in component_name: - component_name_camelcase = " ".join( - word.title() for word in component_name.split("_") - ) + component_name_camelcase = " ".join(word.title() for word in component_name.split("_")) else: component_name_camelcase = component_name @@ -266,7 +254,5 @@ class DirectoryReader: logger.debug(f"Component info: {component_info}") if menu_result not in response["menu"]: response["menu"].append(menu_result) - logger.debug( - "-------------------- Component menu list built --------------------" - ) + logger.debug("-------------------- Component menu list built --------------------") return response diff --git a/src/backend/langflow/interface/custom/schema.py b/src/backend/langflow/interface/custom/schema.py index 418309cee..7c5975150 100644 --- a/src/backend/langflow/interface/custom/schema.py +++ b/src/backend/langflow/interface/custom/schema.py @@ -1,9 +1,8 @@ +from typing import Any, Optional + from pydantic import BaseModel, Field -from typing import Optional - - class ClassCodeDetails(BaseModel): """ A dataclass for storing details about a class. @@ -26,4 +25,5 @@ class CallableCodeDetails(BaseModel): doc: Optional[str] = None args: list body: list - return_type: Optional[str] = None + return_type: Optional[Any] = None + has_return: bool = False diff --git a/src/backend/langflow/interface/custom/utils.py b/src/backend/langflow/interface/custom/utils.py index 700b98b53..e527670a0 100644 --- a/src/backend/langflow/interface/custom/utils.py +++ b/src/backend/langflow/interface/custom/utils.py @@ -1,4 +1,6 @@ import re +from types import GenericAlias +from typing import Any def extract_inner_type(return_type: str) -> str: @@ -10,6 +12,23 @@ def extract_inner_type(return_type: str) -> str: return return_type +def extract_inner_type_from_generic_alias(return_type: GenericAlias) -> Any: + """ + Extracts the inner type from a type hint that is a list. + """ + if return_type.__origin__ == list: + return list(return_type.__args__) + + return return_type + + +def extract_union_types_from_generic_alias(return_type: GenericAlias) -> list: + """ + Extracts the inner type from a type hint that is a Union. + """ + return list(return_type.__args__) + + def extract_union_types(return_type: str) -> list[str]: """ Extracts the inner type from a type hint that is a list. diff --git a/src/backend/langflow/interface/custom_lists.py b/src/backend/langflow/interface/custom_lists.py index 5a22d989f..80a46c856 100644 --- a/src/backend/langflow/interface/custom_lists.py +++ b/src/backend/langflow/interface/custom_lists.py @@ -1,28 +1,21 @@ import inspect from typing import Any -from langchain import ( - document_loaders, - embeddings, - llms, - memory, - requests, - text_splitter, -) +from langchain import document_loaders, embeddings, llms, memory, requests, text_splitter from langchain.agents import agent_toolkits -from langchain.chat_models import ( - AzureChatOpenAI, - ChatOpenAI, - ChatVertexAI, - ChatAnthropic, -) - -from langflow.interface.importing.utils import import_class +from langchain.chat_models import AzureChatOpenAI, ChatAnthropic, ChatOpenAI, ChatVertexAI from langflow.interface.agents.custom import CUSTOM_AGENTS from langflow.interface.chains.custom import CUSTOM_CHAINS +from langflow.interface.importing.utils import import_class # LLMs -llm_type_to_cls_dict = llms.type_to_cls_dict +llm_type_to_cls_dict = {} + +for k, v in llms.get_type_to_cls_dict().items(): + try: + llm_type_to_cls_dict[k] = v() + except Exception: + pass llm_type_to_cls_dict["anthropic-chat"] = ChatAnthropic # type: ignore llm_type_to_cls_dict["azure-chat"] = AzureChatOpenAI # type: ignore llm_type_to_cls_dict["openai-chat"] = ChatOpenAI # type: ignore @@ -46,34 +39,26 @@ toolkit_type_to_cls_dict: dict[str, Any] = { # Memories memory_type_to_cls_dict: dict[str, Any] = { - memory_name: import_class(f"langchain.memory.{memory_name}") - for memory_name in memory.__all__ + memory_name: import_class(f"langchain.memory.{memory_name}") for memory_name in memory.__all__ } # Wrappers -wrapper_type_to_cls_dict: dict[str, Any] = { - wrapper.__name__: wrapper for wrapper in [requests.RequestsWrapper] -} +wrapper_type_to_cls_dict: dict[str, Any] = {wrapper.__name__: wrapper for wrapper in [requests.RequestsWrapper]} # Embeddings embedding_type_to_cls_dict: dict[str, Any] = { - embedding_name: import_class(f"langchain.embeddings.{embedding_name}") - for embedding_name in embeddings.__all__ + embedding_name: import_class(f"langchain.embeddings.{embedding_name}") for embedding_name in embeddings.__all__ } # Document Loaders documentloaders_type_to_cls_dict: dict[str, Any] = { - documentloader_name: import_class( - f"langchain.document_loaders.{documentloader_name}" - ) + documentloader_name: import_class(f"langchain.document_loaders.{documentloader_name}") for documentloader_name in document_loaders.__all__ } # Text Splitters -textsplitter_type_to_cls_dict: dict[str, Any] = dict( - inspect.getmembers(text_splitter, inspect.isclass) -) +textsplitter_type_to_cls_dict: dict[str, Any] = dict(inspect.getmembers(text_splitter, inspect.isclass)) # merge CUSTOM_AGENTS and CUSTOM_CHAINS CUSTOM_NODES = {**CUSTOM_AGENTS, **CUSTOM_CHAINS} # type: ignore diff --git a/src/backend/langflow/interface/document_loaders/base.py b/src/backend/langflow/interface/document_loaders/base.py index e2c379b67..6142d2fa2 100644 --- a/src/backend/langflow/interface/document_loaders/base.py +++ b/src/backend/langflow/interface/document_loaders/base.py @@ -1,7 +1,7 @@ from typing import Dict, List, Optional, Type from langflow.interface.base import LangChainTypeCreator -from langflow.services.getters import get_settings_service +from langflow.services.deps import get_settings_service from langflow.template.frontend_node.documentloaders import DocumentLoaderFrontNode from langflow.interface.custom_lists import documentloaders_type_to_cls_dict @@ -35,8 +35,7 @@ class DocumentLoaderCreator(LangChainTypeCreator): return [ documentloader.__name__ for documentloader in self.type_to_loader_dict.values() - if documentloader.__name__ in settings_service.settings.DOCUMENTLOADERS - or settings_service.settings.DEV + if documentloader.__name__ in settings_service.settings.DOCUMENTLOADERS or settings_service.settings.DEV ] diff --git a/src/backend/langflow/interface/embeddings/base.py b/src/backend/langflow/interface/embeddings/base.py index d280cf1c1..834ea61fa 100644 --- a/src/backend/langflow/interface/embeddings/base.py +++ b/src/backend/langflow/interface/embeddings/base.py @@ -2,7 +2,7 @@ from typing import Dict, List, Optional, Type from langflow.interface.base import LangChainTypeCreator from langflow.interface.custom_lists import embedding_type_to_cls_dict -from langflow.services.getters import get_settings_service +from langflow.services.deps import get_settings_service from langflow.template.frontend_node.base import FrontendNode from langflow.template.frontend_node.embeddings import EmbeddingFrontendNode @@ -37,8 +37,7 @@ class EmbeddingCreator(LangChainTypeCreator): return [ embedding.__name__ for embedding in self.type_to_loader_dict.values() - if embedding.__name__ in settings_service.settings.EMBEDDINGS - or settings_service.settings.DEV + if embedding.__name__ in settings_service.settings.EMBEDDINGS or settings_service.settings.DEV ] diff --git a/src/backend/langflow/interface/importing/utils.py b/src/backend/langflow/interface/importing/utils.py index 44d72df42..f3276d952 100644 --- a/src/backend/langflow/interface/importing/utils.py +++ b/src/backend/langflow/interface/importing/utils.py @@ -3,15 +3,15 @@ import importlib from typing import Any, Type -from langchain.prompts import PromptTemplate from langchain.agents import Agent from langchain.base_language import BaseLanguageModel from langchain.chains.base import Chain from langchain.chat_models.base import BaseChatModel +from langchain.prompts import PromptTemplate from langchain.tools import BaseTool from langflow.interface.custom.custom_component import CustomComponent -from langflow.utils import validate from langflow.interface.wrappers.base import wrapper_creator +from langflow.utils import validate def import_module(module_path: str) -> Any: @@ -104,10 +104,7 @@ def import_prompt(prompt: str) -> Type[PromptTemplate]: def import_wrapper(wrapper: str) -> Any: """Import wrapper from wrapper name""" - if ( - isinstance(wrapper_creator.type_dict, dict) - and wrapper in wrapper_creator.type_dict - ): + if isinstance(wrapper_creator.type_dict, dict) and wrapper in wrapper_creator.type_dict: return wrapper_creator.type_dict.get(wrapper) @@ -183,6 +180,7 @@ def get_function(code): return validate.create_function(code, function_name) -def get_function_custom(code): +def eval_custom_component_code(code: str) -> Type[CustomComponent]: + """Evaluate custom component code""" class_name = validate.extract_class_name(code) return validate.create_class(code, class_name) diff --git a/src/backend/langflow/interface/initialize/llm.py b/src/backend/langflow/interface/initialize/llm.py index eaed04b77..05219d7d3 100644 --- a/src/backend/langflow/interface/initialize/llm.py +++ b/src/backend/langflow/interface/initialize/llm.py @@ -2,8 +2,6 @@ def initialize_vertexai(class_object, params): if credentials_path := params.get("credentials"): from google.oauth2 import service_account # type: ignore - credentials_object = service_account.Credentials.from_service_account_file( - filename=credentials_path - ) + credentials_object = service_account.Credentials.from_service_account_file(filename=credentials_path) params["credentials"] = credentials_object return class_object(**params) diff --git a/src/backend/langflow/interface/initialize/loading.py b/src/backend/langflow/interface/initialize/loading.py index 24a551ff7..3c8bd2d41 100644 --- a/src/backend/langflow/interface/initialize/loading.py +++ b/src/backend/langflow/interface/initialize/loading.py @@ -1,40 +1,29 @@ +import inspect import json +from typing import TYPE_CHECKING, Any, Callable, Dict, Sequence, Type + import orjson -from typing import Any, Callable, Dict, Sequence, Type, TYPE_CHECKING -from langchain.schema import Document from langchain.agents import agent as agent_module from langchain.agents.agent import AgentExecutor from langchain.agents.agent_toolkits.base import BaseToolkit from langchain.agents.tools import BaseTool -from langflow.interface.initialize.llm import initialize_vertexai -from langflow.interface.initialize.utils import ( - handle_format_kwargs, - handle_node_type, - handle_partial_variables, -) - -from langflow.interface.initialize.vector_store import vecstore_initializer - -from pydantic import ValidationError - -from langflow.interface.importing.utils import ( - get_function, - get_function_custom, - import_by_type, -) +from langchain.chains.base import Chain +from langchain.document_loaders.base import BaseLoader +from langchain.schema import Document +from langchain.vectorstores.base import VectorStore from langflow.interface.custom_lists import CUSTOM_NODES -from langflow.interface.agents.base import agent_creator -from langflow.interface.toolkits.base import toolkits_creator -from langflow.interface.chains.base import chain_creator +from langflow.interface.importing.utils import eval_custom_component_code, get_function, import_by_type +from langflow.interface.initialize.llm import initialize_vertexai +from langflow.interface.initialize.utils import handle_format_kwargs, handle_node_type, handle_partial_variables +from langflow.interface.initialize.vector_store import vecstore_initializer from langflow.interface.output_parsers.base import output_parser_creator from langflow.interface.retrievers.base import retriever_creator -from langflow.interface.wrappers.base import wrapper_creator +from langflow.interface.toolkits.base import toolkits_creator from langflow.interface.utils import load_file_into_dict +from langflow.interface.wrappers.base import wrapper_creator from langflow.utils import validate -from langchain.chains.base import Chain -from langchain.vectorstores.base import VectorStore -from langchain.document_loaders.base import BaseLoader from loguru import logger +from pydantic import ValidationError if TYPE_CHECKING: from langflow import CustomComponent @@ -44,15 +33,10 @@ def build_vertex_in_params(params: Dict) -> Dict: from langflow.graph.vertex.base import Vertex # If any of the values in params is a Vertex, we will build it - return { - key: value.build() if isinstance(value, Vertex) else value - for key, value in params.items() - } + return {key: value.build() if isinstance(value, Vertex) else value for key, value in params.items()} -def instantiate_class( - node_type: str, base_type: str, params: Dict, user_id=None -) -> Any: +async def instantiate_class(node_type: str, base_type: str, params: Dict, user_id=None) -> Any: """Instantiate class from module type and key, and params""" params = convert_params_to_sets(params) params = convert_kwargs(params) @@ -64,9 +48,7 @@ def instantiate_class( return custom_node(**params) logger.debug(f"Instantiating {node_type} of type {base_type}") class_object = import_by_type(_type=base_type, name=node_type) - return instantiate_based_on_type( - class_object, base_type, node_type, params, user_id=user_id - ) + return await instantiate_based_on_type(class_object, base_type, node_type, params, user_id=user_id) def convert_params_to_sets(params): @@ -93,7 +75,7 @@ def convert_kwargs(params): return params -def instantiate_based_on_type(class_object, base_type, node_type, params, user_id): +async def instantiate_based_on_type(class_object, base_type, node_type, params, user_id): if base_type == "agents": return instantiate_agent(node_type, class_object, params) elif base_type == "prompts": @@ -127,20 +109,28 @@ def instantiate_based_on_type(class_object, base_type, node_type, params, user_i elif base_type == "memory": return instantiate_memory(node_type, class_object, params) elif base_type == "custom_components": - return instantiate_custom_component(node_type, class_object, params, user_id) + return await instantiate_custom_component(node_type, class_object, params, user_id) elif base_type == "wrappers": return instantiate_wrapper(node_type, class_object, params) else: return class_object(**params) -def instantiate_custom_component(node_type, class_object, params, user_id): - # we need to make a copy of the params because we will be - # modifying it +async def instantiate_custom_component(node_type, class_object, params, user_id): params_copy = params.copy() - class_object: "CustomComponent" = get_function_custom(params_copy.pop("code")) + class_object: "CustomComponent" = eval_custom_component_code(params_copy.pop("code")) custom_component = class_object(user_id=user_id) - built_object = custom_component.build(**params_copy) + + # Determine if the build method is asynchronous + is_async = inspect.iscoroutinefunction(custom_component.build) + + if is_async: + # Await the build method directly if it's async + built_object = await custom_component.build(**params_copy) + else: + # Call the build method directly if it's sync + built_object = custom_component.build(**params_copy) + return built_object, {"repr": custom_component.custom_repr()} @@ -194,9 +184,7 @@ def instantiate_memory(node_type, class_object, params): # I want to catch a specific attribute error that happens # when the object does not have a cursor attribute except Exception as exc: - if "object has no attribute 'cursor'" in str( - exc - ) or 'object has no field "conn"' in str(exc): + if "object has no attribute 'cursor'" in str(exc) or 'object has no field "conn"' in str(exc): raise AttributeError( ( "Failed to build connection to database." @@ -218,6 +206,8 @@ def instantiate_retriever(node_type, class_object, params): def instantiate_chains(node_type, class_object: Type[Chain], params: Dict): + from langflow.interface.chains.base import chain_creator + if "retriever" in params and hasattr(params["retriever"], "as_retriever"): params["retriever"] = params["retriever"].as_retriever() if node_type in chain_creator.from_method_nodes: @@ -230,14 +220,14 @@ def instantiate_chains(node_type, class_object: Type[Chain], params: Dict): def instantiate_agent(node_type, class_object: Type[agent_module.Agent], params: Dict): + from langflow.interface.agents.base import agent_creator + if node_type in agent_creator.from_method_nodes: method = agent_creator.from_method_nodes[node_type] if class_method := getattr(class_object, method, None): agent = class_method(**params) tools = params.get("tools", []) - return AgentExecutor.from_agent_and_tools( - agent=agent, tools=tools, handle_parsing_errors=True - ) + return AgentExecutor.from_agent_and_tools(agent=agent, tools=tools, handle_parsing_errors=True) return load_agent_executor(class_object, params) @@ -287,14 +277,13 @@ def instantiate_embedding(node_type, class_object, params: Dict): if "VertexAI" in node_type: return initialize_vertexai(class_object=class_object, params=params) + if "OpenAIEmbedding" in node_type: + params["disallowed_special"] = () + try: return class_object(**params) except ValidationError: - params = { - key: value - for key, value in params.items() - if key in class_object.model_fields - } + params = {key: value for key, value in params.items() if key in class_object.model_fields} return class_object(**params) @@ -306,9 +295,7 @@ def instantiate_vectorstore(class_object: Type[VectorStore], params: Dict): if "texts" in params: params["documents"] = params.pop("texts") if "documents" in params: - params["documents"] = [ - doc for doc in params["documents"] if isinstance(doc, Document) - ] + params["documents"] = [doc for doc in params["documents"] if isinstance(doc, Document)] if initializer := vecstore_initializer.get(class_object.__name__): vecstore = initializer(class_object, params) else: @@ -323,9 +310,7 @@ def instantiate_vectorstore(class_object: Type[VectorStore], params: Dict): return vecstore -def instantiate_documentloader( - node_type: str, class_object: Type[BaseLoader], params: Dict -): +def instantiate_documentloader(node_type: str, class_object: Type[BaseLoader], params: Dict): if "file_filter" in params: # file_filter will be a string but we need a function # that will be used to filter the files using file_filter @@ -334,17 +319,13 @@ def instantiate_documentloader( # in x and if it is, we will return True file_filter = params.pop("file_filter") extensions = file_filter.split(",") - params["file_filter"] = lambda x: any( - extension.strip() in x for extension in extensions - ) + params["file_filter"] = lambda x: any(extension.strip() in x for extension in extensions) metadata = params.pop("metadata", None) if metadata and isinstance(metadata, str): try: metadata = orjson.loads(metadata) except json.JSONDecodeError as exc: - raise ValueError( - "The metadata you provided is not a valid JSON string." - ) from exc + raise ValueError("The metadata you provided is not a valid JSON string.") from exc if node_type == "WebBaseLoader": if web_path := params.pop("web_path", None): @@ -377,16 +358,12 @@ def instantiate_textsplitter( "Try changing the chunk_size of the Text Splitter." ) from exc - if ( - "separator_type" in params and params["separator_type"] == "Text" - ) or "separator_type" not in params: + if ("separator_type" in params and params["separator_type"] == "Text") or "separator_type" not in params: params.pop("separator_type", None) # separators might come in as an escaped string like \\n # so we need to convert it to a string if "separators" in params: - params["separators"] = ( - params["separators"].encode().decode("unicode-escape") - ) + params["separators"] = params["separators"].encode().decode("unicode-escape") text_splitter = class_object(**params) else: from langchain.text_splitter import Language @@ -413,8 +390,7 @@ def replace_zero_shot_prompt_with_prompt_template(nodes): tools = [ tool for tool in nodes - if tool["type"] != "chatOutputNode" - and "Tool" in tool["data"]["node"]["base_classes"] + if tool["type"] != "chatOutputNode" and "Tool" in tool["data"]["node"]["base_classes"] ] node["data"] = build_prompt_template(prompt=node["data"], tools=tools) break @@ -428,9 +404,7 @@ def load_agent_executor(agent_class: type[agent_module.Agent], params, **kwargs) # agent has hidden args for memory. might need to be support # memory = params["memory"] # if allowed_tools is not a list or set, make it a list - if not isinstance(allowed_tools, (list, set)) and isinstance( - allowed_tools, BaseTool - ): + if not isinstance(allowed_tools, (list, set)) and isinstance(allowed_tools, BaseTool): allowed_tools = [allowed_tools] tool_names = [tool.name for tool in allowed_tools] # Agent class requires an output_parser but Agent classes @@ -458,10 +432,7 @@ def build_prompt_template(prompt, tools): format_instructions = prompt["node"]["template"]["format_instructions"]["value"] tool_strings = "\n".join( - [ - f"{tool['data']['node']['name']}: {tool['data']['node']['description']}" - for tool in tools - ] + [f"{tool['data']['node']['name']}: {tool['data']['node']['description']}" for tool in tools] ) tool_names = ", ".join([tool["data"]["node"]["name"] for tool in tools]) format_instructions = format_instructions.format(tool_names=tool_names) diff --git a/src/backend/langflow/interface/initialize/utils.py b/src/backend/langflow/interface/initialize/utils.py index 199626de5..69e436fcf 100644 --- a/src/backend/langflow/interface/initialize/utils.py +++ b/src/backend/langflow/interface/initialize/utils.py @@ -1,13 +1,11 @@ import contextlib import json -from langflow.services.database.models.base import orjson_dumps -import orjson from typing import Any, Dict, List +import orjson from langchain.agents import ZeroShotAgent - - -from langchain.schema import Document, BaseOutputParser +from langchain.schema import BaseOutputParser, Document +from langflow.services.database.models.base import orjson_dumps def handle_node_type(node_type, class_object, params: Dict): @@ -30,9 +28,7 @@ def check_tools_in_params(params: Dict): def instantiate_from_template(class_object, params: Dict): - from_template_params = { - "template": params.pop("prompt", params.pop("template", "")) - } + from_template_params = {"template": params.pop("prompt", params.pop("template", ""))} if not from_template_params.get("template"): raise ValueError("Prompt template is required") return class_object.from_template(**from_template_params) @@ -48,9 +44,7 @@ def handle_format_kwargs(prompt, params: Dict): def handle_partial_variables(prompt, format_kwargs: Dict): partial_variables = format_kwargs.copy() - partial_variables = { - key: value for key, value in partial_variables.items() if value - } + partial_variables = {key: value for key, value in partial_variables.items() if value} # Remove handle_keys otherwise LangChain raises an error partial_variables.pop("handle_keys", None) if partial_variables and hasattr(prompt, "partial"): @@ -62,9 +56,7 @@ def handle_variable(params: Dict, input_variable: str, format_kwargs: Dict): variable = params[input_variable] if isinstance(variable, str): format_kwargs[input_variable] = variable - elif isinstance(variable, BaseOutputParser) and hasattr( - variable, "get_format_instructions" - ): + elif isinstance(variable, BaseOutputParser) and hasattr(variable, "get_format_instructions"): format_kwargs[input_variable] = variable.get_format_instructions() elif is_instance_of_list_or_document(variable): format_kwargs = format_document(variable, input_variable, format_kwargs) @@ -91,8 +83,10 @@ def format_document(variable, input_variable: str, format_kwargs: Dict): def format_content(variable): if len(variable) > 1: return "\n".join([item.page_content for item in variable if item.page_content]) - content = variable[0].page_content - return try_to_load_json(content) + elif len(variable) == 1: + content = variable[0].page_content + return try_to_load_json(content) + return "" def try_to_load_json(content): @@ -107,8 +101,7 @@ def try_to_load_json(content): def needs_handle_keys(variable): return is_instance_of_list_or_document(variable) or ( - isinstance(variable, BaseOutputParser) - and hasattr(variable, "get_format_instructions") + isinstance(variable, BaseOutputParser) and hasattr(variable, "get_format_instructions") ) diff --git a/src/backend/langflow/interface/initialize/vector_store.py b/src/backend/langflow/interface/initialize/vector_store.py index 0e9b573a4..0b5ade7c8 100644 --- a/src/backend/langflow/interface/initialize/vector_store.py +++ b/src/backend/langflow/interface/initialize/vector_store.py @@ -17,9 +17,7 @@ import orjson def docs_in_params(params: dict) -> bool: """Check if params has documents OR texts and one of them is not an empty list, If any of them is not an empty list, return True, else return False""" - return ("documents" in params and params["documents"]) or ( - "texts" in params and params["texts"] - ) + return ("documents" in params and params["documents"]) or ("texts" in params and params["texts"]) def initialize_mongodb(class_object: Type[MongoDBAtlasVectorSearch], params: dict): @@ -31,9 +29,7 @@ def initialize_mongodb(class_object: Type[MongoDBAtlasVectorSearch], params: dic from pymongo import MongoClient import certifi - client: MongoClient = MongoClient( - MONGODB_ATLAS_CLUSTER_URI, tlsCAFile=certifi.where() - ) + client: MongoClient = MongoClient(MONGODB_ATLAS_CLUSTER_URI, tlsCAFile=certifi.where()) db_name = params.pop("db_name", None) collection_name = params.pop("collection_name", None) if not db_name or not collection_name: @@ -141,9 +137,7 @@ def initialize_pinecone(class_object: Type[Pinecone], params: dict): pinecone_env = os.getenv("PINECONE_ENV") if pinecone_api_key is None or pinecone_env is None: - raise ValueError( - "Pinecone API key and environment must be provided in the params" - ) + raise ValueError("Pinecone API key and environment must be provided in the params") # initialize pinecone pinecone.init( @@ -177,19 +171,13 @@ def initialize_chroma(class_object: Type[Chroma], params: dict): import chromadb # type: ignore settings_params = { - key: params[key] - for key, value_ in params.items() - if key.startswith("chroma_server_") and value_ + key: params[key] for key, value_ in params.items() if key.startswith("chroma_server_") and value_ } chroma_settings = chromadb.config.Settings(**settings_params) params["client_settings"] = chroma_settings else: # remove all chroma_server_ keys from params - params = { - key: value - for key, value in params.items() - if not key.startswith("chroma_server_") - } + params = {key: value for key, value in params.items() if not key.startswith("chroma_server_")} persist = params.pop("persist", False) if not docs_in_params(params): diff --git a/src/backend/langflow/interface/listing.py b/src/backend/langflow/interface/listing.py index aa72e568e..79a7335d4 100644 --- a/src/backend/langflow/interface/listing.py +++ b/src/backend/langflow/interface/listing.py @@ -1,4 +1,4 @@ -from langflow.services.getters import get_settings_service +from langflow.services.deps import get_settings_service from langflow.utils.lazy_load import LazyLoadDictBase diff --git a/src/backend/langflow/interface/llms/base.py b/src/backend/langflow/interface/llms/base.py index ffb7fa2f2..4b0654a1a 100644 --- a/src/backend/langflow/interface/llms/base.py +++ b/src/backend/langflow/interface/llms/base.py @@ -2,7 +2,7 @@ from typing import Dict, List, Optional, Type from langflow.interface.base import LangChainTypeCreator from langflow.interface.custom_lists import llm_type_to_cls_dict -from langflow.services.getters import get_settings_service +from langflow.services.deps import get_settings_service from langflow.template.frontend_node.llms import LLMFrontendNode from loguru import logger @@ -38,8 +38,7 @@ class LLMCreator(LangChainTypeCreator): return [ llm.__name__ for llm in self.type_to_loader_dict.values() - if llm.__name__ in settings_service.settings.LLMS - or settings_service.settings.DEV + if llm.__name__ in settings_service.settings.LLMS or settings_service.settings.DEV ] diff --git a/src/backend/langflow/interface/memories/base.py b/src/backend/langflow/interface/memories/base.py index 140c53666..7508d6d64 100644 --- a/src/backend/langflow/interface/memories/base.py +++ b/src/backend/langflow/interface/memories/base.py @@ -2,7 +2,7 @@ from typing import ClassVar, Dict, List, Optional, Type from langflow.interface.base import LangChainTypeCreator from langflow.interface.custom_lists import memory_type_to_cls_dict -from langflow.services.getters import get_settings_service +from langflow.services.deps import get_settings_service from langflow.template.frontend_node.base import FrontendNode from langflow.template.frontend_node.memories import MemoryFrontendNode @@ -53,8 +53,7 @@ class MemoryCreator(LangChainTypeCreator): return [ memory.__name__ for memory in self.type_to_loader_dict.values() - if memory.__name__ in settings_service.settings.MEMORIES - or settings_service.settings.DEV + if memory.__name__ in settings_service.settings.MEMORIES or settings_service.settings.DEV ] diff --git a/src/backend/langflow/interface/output_parsers/base.py b/src/backend/langflow/interface/output_parsers/base.py index 39269c2b4..3ae1e9d7b 100644 --- a/src/backend/langflow/interface/output_parsers/base.py +++ b/src/backend/langflow/interface/output_parsers/base.py @@ -4,7 +4,7 @@ from langchain import output_parsers from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.services.getters import get_settings_service +from langflow.services.deps import get_settings_service from langflow.template.frontend_node.output_parsers import OutputParserFrontendNode from loguru import logger @@ -26,17 +26,14 @@ class OutputParserCreator(LangChainTypeCreator): if self.type_dict is None: settings_service = get_settings_service() self.type_dict = { - output_parser_name: import_class( - f"langchain.output_parsers.{output_parser_name}" - ) + output_parser_name: import_class(f"langchain.output_parsers.{output_parser_name}") # if output_parser_name is not lower case it is a class for output_parser_name in output_parsers.__all__ } self.type_dict = { name: output_parser for name, output_parser in self.type_dict.items() - if name in settings_service.settings.OUTPUT_PARSERS - or settings_service.settings.DEV + if name in settings_service.settings.OUTPUT_PARSERS or settings_service.settings.DEV } return self.type_dict diff --git a/src/backend/langflow/interface/prompts/base.py b/src/backend/langflow/interface/prompts/base.py index 29d3e8ba8..164ea2b10 100644 --- a/src/backend/langflow/interface/prompts/base.py +++ b/src/backend/langflow/interface/prompts/base.py @@ -5,7 +5,7 @@ from langchain import prompts from langflow.custom.customs import get_custom_nodes from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.services.getters import get_settings_service +from langflow.services.deps import get_settings_service from langflow.template.frontend_node.prompts import PromptFrontendNode from loguru import logger @@ -36,8 +36,7 @@ class PromptCreator(LangChainTypeCreator): self.type_dict = { name: prompt for name, prompt in self.type_dict.items() - if name in settings_service.settings.PROMPTS - or settings_service.settings.DEV + if name in settings_service.settings.PROMPTS or settings_service.settings.DEV } return self.type_dict diff --git a/src/backend/langflow/interface/prompts/custom.py b/src/backend/langflow/interface/prompts/custom.py index eb6731cf5..202fbe409 100644 --- a/src/backend/langflow/interface/prompts/custom.py +++ b/src/backend/langflow/interface/prompts/custom.py @@ -42,17 +42,13 @@ class BaseCustomPrompt(PromptTemplate): values["template"] = values["template"].format(**format_dict) values["template"] = values["template"] - values["input_variables"] = extract_input_variables_from_prompt( - values["template"] - ) + values["input_variables"] = extract_input_variables_from_prompt(values["template"]) return values class SeriesCharacterPrompt(BaseCustomPrompt): # Add a very descriptive description for the prompt generator - description: Optional[ - str - ] = "A prompt that asks the AI to act like a character from a series." + description: Optional[str] = "A prompt that asks the AI to act like a character from a series." character: str series: str template: str = """I want you to act like {character} from {series}. @@ -68,6 +64,4 @@ Human: {input} input_variables: List[str] = ["character", "series"] -CUSTOM_PROMPTS: Dict[str, Type[BaseCustomPrompt]] = { - "SeriesCharacterPrompt": SeriesCharacterPrompt -} +CUSTOM_PROMPTS: Dict[str, Type[BaseCustomPrompt]] = {"SeriesCharacterPrompt": SeriesCharacterPrompt} diff --git a/src/backend/langflow/interface/retrievers/base.py b/src/backend/langflow/interface/retrievers/base.py index 44d3ad692..2439708a3 100644 --- a/src/backend/langflow/interface/retrievers/base.py +++ b/src/backend/langflow/interface/retrievers/base.py @@ -4,7 +4,7 @@ from langchain import retrievers from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.services.getters import get_settings_service +from langflow.services.deps import get_settings_service from langflow.template.frontend_node.retrievers import RetrieverFrontendNode from loguru import logger @@ -42,9 +42,7 @@ class RetrieverCreator(LangChainTypeCreator): method_name=self.from_method_nodes[name], ) else: - return build_template_from_class( - name, type_to_cls_dict=self.type_to_loader_dict - ) + return build_template_from_class(name, type_to_cls_dict=self.type_to_loader_dict) except ValueError as exc: raise ValueError(f"Retriever {name} not found") from exc except AttributeError as exc: @@ -56,8 +54,7 @@ class RetrieverCreator(LangChainTypeCreator): return [ retriever for retriever in self.type_to_loader_dict.keys() - if retriever in settings_service.settings.RETRIEVERS - or settings_service.settings.DEV + if retriever in settings_service.settings.RETRIEVERS or settings_service.settings.DEV ] diff --git a/src/backend/langflow/interface/run.py b/src/backend/langflow/interface/run.py index b482f8c50..94cd922eb 100644 --- a/src/backend/langflow/interface/run.py +++ b/src/backend/langflow/interface/run.py @@ -1,12 +1,12 @@ -from typing import Dict, Tuple, Optional, Union -from langflow.graph import Graph -from loguru import logger +from typing import Dict, Optional, Tuple, Union from uuid import UUID +from loguru import logger -def build_sorted_vertices( - data_graph, user_id: Optional[Union[str, UUID]] = None -) -> Tuple[Graph, Dict]: +from langflow.graph import Graph + + +async def build_sorted_vertices(data_graph, user_id: Optional[Union[str, UUID]] = None) -> Tuple[Graph, Dict]: """ Build langchain object from data_graph. """ @@ -16,28 +16,12 @@ def build_sorted_vertices( sorted_vertices = graph.topological_sort() artifacts = {} for vertex in sorted_vertices: - vertex.build(user_id=user_id) + await vertex.build(user_id=user_id) if vertex.artifacts: artifacts.update(vertex.artifacts) return graph, artifacts -def build_langchain_object(data_graph): - """ - Build langchain object from data_graph. - """ - - logger.debug("Building langchain object") - nodes = data_graph["nodes"] - # Add input variables - # nodes = payload.extract_input_variables(nodes) - # Nodes, edges and root node - edges = data_graph["edges"] - graph = Graph(nodes, edges) - - return graph.build() - - def get_memory_key(langchain_object): """ Given a LangChain object, this function retrieves the current memory key from the object's memory attribute. diff --git a/src/backend/langflow/interface/text_splitters/base.py b/src/backend/langflow/interface/text_splitters/base.py index 4f337817f..29c77a12f 100644 --- a/src/backend/langflow/interface/text_splitters/base.py +++ b/src/backend/langflow/interface/text_splitters/base.py @@ -1,7 +1,7 @@ from typing import Dict, List, Optional, Type from langflow.interface.base import LangChainTypeCreator -from langflow.services.getters import get_settings_service +from langflow.services.deps import get_settings_service from langflow.template.frontend_node.textsplitters import TextSplittersFrontendNode from langflow.interface.custom_lists import textsplitter_type_to_cls_dict @@ -35,8 +35,7 @@ class TextSplitterCreator(LangChainTypeCreator): return [ textsplitter.__name__ for textsplitter in self.type_to_loader_dict.values() - if textsplitter.__name__ in settings_service.settings.TEXTSPLITTERS - or settings_service.settings.DEV + if textsplitter.__name__ in settings_service.settings.TEXTSPLITTERS or settings_service.settings.DEV ] diff --git a/src/backend/langflow/interface/toolkits/base.py b/src/backend/langflow/interface/toolkits/base.py index 73ca4852f..7c57579d1 100644 --- a/src/backend/langflow/interface/toolkits/base.py +++ b/src/backend/langflow/interface/toolkits/base.py @@ -4,7 +4,7 @@ from langchain.agents import agent_toolkits from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class, import_module -from langflow.services.getters import get_settings_service +from langflow.services.deps import get_settings_service from loguru import logger from langflow.utils.util import build_template_from_class @@ -32,13 +32,10 @@ class ToolkitCreator(LangChainTypeCreator): if self.type_dict is None: settings_service = get_settings_service() self.type_dict = { - toolkit_name: import_class( - f"langchain.agents.agent_toolkits.{toolkit_name}" - ) + toolkit_name: import_class(f"langchain.agents.agent_toolkits.{toolkit_name}") # if toolkit_name is not lower case it is a class for toolkit_name in agent_toolkits.__all__ - if not toolkit_name.islower() - and toolkit_name in settings_service.settings.TOOLKITS + if not toolkit_name.islower() and toolkit_name in settings_service.settings.TOOLKITS } return self.type_dict @@ -61,9 +58,7 @@ class ToolkitCreator(LangChainTypeCreator): def get_create_function(self, name: str) -> Callable: if loader_name := self.create_functions.get(name): - return import_module( - f"from langchain.agents.agent_toolkits import {loader_name[0]}" - ) + return import_module(f"from langchain.agents.agent_toolkits import {loader_name[0]}") else: raise ValueError("Toolkit not found") diff --git a/src/backend/langflow/interface/tools/base.py b/src/backend/langflow/interface/tools/base.py index e74d49384..875915a58 100644 --- a/src/backend/langflow/interface/tools/base.py +++ b/src/backend/langflow/interface/tools/base.py @@ -15,7 +15,7 @@ from langflow.interface.tools.constants import ( OTHER_TOOLS, ) from langflow.interface.tools.util import get_tool_params -from langflow.services.getters import get_settings_service +from langflow.services.deps import get_settings_service from langflow.template.field.base import TemplateField from langflow.template.template.base import Template @@ -32,9 +32,7 @@ TOOL_INPUTS = { placeholder="", value="", ), - "llm": TemplateField( - field_type="BaseLanguageModel", required=True, is_list=False, show=True - ), + "llm": TemplateField(field_type="BaseLanguageModel", required=True, is_list=False, show=True), "func": TemplateField( field_type="Callable", required=True, @@ -56,8 +54,7 @@ TOOL_INPUTS = { is_list=False, show=True, value="", - suffixes=[".json", ".yaml", ".yml"], - file_types=["json", "yaml", "yml"], + file_types=[".json", ".yaml", ".yml"], ), } @@ -81,10 +78,7 @@ class ToolCreator(LangChainTypeCreator): tool_name = tool_params.get("name") or tool - if ( - tool_name in settings_service.settings.TOOLS - or settings_service.settings.DEV - ): + if tool_name in settings_service.settings.TOOLS or settings_service.settings.DEV: if tool_name == "JsonSpec": tool_params["path"] = tool_params.pop("dict_") # type: ignore all_tools[tool_name] = { diff --git a/src/backend/langflow/interface/tools/util.py b/src/backend/langflow/interface/tools/util.py index 8e4f582c1..7c8020aa9 100644 --- a/src/backend/langflow/interface/tools/util.py +++ b/src/backend/langflow/interface/tools/util.py @@ -21,16 +21,12 @@ def get_func_tool_params(func, **kwargs) -> Union[Dict, None]: for keyword in tool.keywords: if keyword.arg == "name": try: - tool_params["name"] = ast.literal_eval( - keyword.value - ) + tool_params["name"] = ast.literal_eval(keyword.value) except ValueError: break elif keyword.arg == "description": try: - tool_params["description"] = ast.literal_eval( - keyword.value - ) + tool_params["description"] = ast.literal_eval(keyword.value) except ValueError: continue @@ -43,9 +39,7 @@ def get_func_tool_params(func, **kwargs) -> Union[Dict, None]: else: # get the class object from the return statement try: - class_obj = eval( - compile(ast.Expression(tool), "", "eval") - ) + class_obj = eval(compile(ast.Expression(tool), "", "eval")) except Exception: return None diff --git a/src/backend/langflow/interface/types.py b/src/backend/langflow/interface/types.py index e48255de9..c508816a0 100644 --- a/src/backend/langflow/interface/types.py +++ b/src/backend/langflow/interface/types.py @@ -1,44 +1,39 @@ import ast import contextlib -from typing import Any, List, Union, Optional +import re +import traceback +import warnings +from typing import Any, Dict, List, Optional, Union from uuid import UUID -from langflow.api.utils import get_new_key + +from cachetools import LRUCache, cached +from fastapi import HTTPException +from loguru import logger + from langflow.interface.agents.base import agent_creator from langflow.interface.chains.base import chain_creator -from langflow.field_typing.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES +from langflow.interface.custom.custom_component import CustomComponent +from langflow.interface.custom.directory_reader import DirectoryReader from langflow.interface.custom.utils import extract_inner_type from langflow.interface.document_loaders.base import documentloader_creator from langflow.interface.embeddings.base import embedding_creator -from langflow.interface.importing.utils import get_function_custom +from langflow.interface.importing.utils import eval_custom_component_code from langflow.interface.llms.base import llm_creator from langflow.interface.memories.base import memory_creator +from langflow.interface.output_parsers.base import output_parser_creator from langflow.interface.prompts.base import prompt_creator +from langflow.interface.retrievers.base import retriever_creator from langflow.interface.text_splitters.base import textsplitter_creator from langflow.interface.toolkits.base import toolkits_creator from langflow.interface.tools.base import tool_creator from langflow.interface.utilities.base import utility_creator from langflow.interface.vector_store.base import vectorstore_creator from langflow.interface.wrappers.base import wrapper_creator -from langflow.interface.output_parsers.base import output_parser_creator -from langflow.interface.custom.base import custom_component_creator -from langflow.interface.custom.custom_component import CustomComponent - from langflow.template.field.base import TemplateField from langflow.template.frontend_node.constants import CLASSES_TO_REMOVE -from langflow.template.frontend_node.custom_components import ( - CustomComponentFrontendNode, -) -from langflow.interface.retrievers.base import retriever_creator - -from langflow.interface.custom.directory_reader import DirectoryReader -from loguru import logger +from langflow.template.frontend_node.custom_components import CustomComponentFrontendNode from langflow.utils.util import get_base_classes -import re -import warnings -import traceback -from fastapi import HTTPException - # Used to get the base_classes list def get_type_list(): @@ -53,6 +48,7 @@ def get_type_list(): return all_types +@cached(LRUCache(maxsize=1)) def build_langchain_types_dict(): # sourcery skip: dict-assign-update-to-union """Build a dictionary of all langchain types""" all_types = {} @@ -73,7 +69,6 @@ def build_langchain_types_dict(): # sourcery skip: dict-assign-update-to-union utility_creator, output_parser_creator, retriever_creator, - custom_component_creator, ] all_types = {} @@ -115,14 +110,10 @@ def add_new_custom_field( # If options is a list, then it's a dropdown # If options is None, then it's a list of strings is_list = isinstance(field_config.get("options"), list) - field_config["is_list"] = ( - is_list or field_config.get("is_list", False) or field_contains_list - ) + field_config["is_list"] = is_list or field_config.get("is_list", False) or field_contains_list if "name" in field_config: - warnings.warn( - "The 'name' key in field_config is used to build the object and can't be changed." - ) + warnings.warn("The 'name' key in field_config is used to build the object and can't be changed.") field_config.pop("name", None) required = field_config.pop("required", field_required) @@ -186,9 +177,7 @@ def extract_type_from_optional(field_type): def build_frontend_node(custom_component: CustomComponent): """Build a frontend node for a custom component""" try: - return ( - CustomComponentFrontendNode().to_dict().get(type(custom_component).__name__) - ) + return CustomComponentFrontendNode().to_dict().get(type(custom_component).__name__) except Exception as exc: logger.error(f"Error while building base frontend node: {exc}") @@ -210,26 +199,67 @@ def update_attributes(frontend_node, template_config): def build_field_config( - custom_component: CustomComponent, user_id: Optional[Union[str, UUID]] = None + custom_component: CustomComponent, user_id: Optional[Union[str, UUID]] = None, update_field=None ): """Build the field configuration for a custom component""" try: - custom_class = get_function_custom(custom_component.code) + if custom_component.code is None: + return {} + elif isinstance(custom_component.code, str): + custom_class = eval_custom_component_code(custom_component.code) + else: + raise ValueError("Invalid code type") except Exception as exc: - logger.error(f"Error while getting custom function: {str(exc)}") - return {} + logger.error(f"Error while evaluating custom component code: {str(exc)}") + raise HTTPException( + status_code=400, + detail={ + "error": ("Invalid type convertion. Please check your code and try again."), + "traceback": traceback.format_exc(), + }, + ) from exc try: - return custom_class(user_id=user_id).build_config() + build_config: Dict = custom_class(user_id=user_id).build_config() + + for field_name, field_dict in build_config.items(): + if update_field is not None and field_name != update_field: + continue + try: + update_field_dict(field_dict) + build_config[field_name] = field_dict + except Exception as exc: + logger.error(f"Error while getting build_config: {str(exc)}") + + return build_config + except Exception as exc: logger.error(f"Error while building field config: {str(exc)}") - return {} + raise HTTPException( + status_code=400, + detail={ + "error": ("Invalid type convertion. Please check your code and try again."), + "traceback": traceback.format_exc(), + }, + ) from exc + + +def update_field_dict(field_dict): + """Update the field dictionary by calling options() or value() if they are callable""" + if "options" in field_dict and callable(field_dict["options"]): + field_dict["options"] = field_dict["options"]() + # Also update the "refresh" key + field_dict["refresh"] = True + + if "value" in field_dict and callable(field_dict["value"]): + field_dict["value"] = field_dict["value"](field_dict.get("options", [])) + field_dict["refresh"] = True def add_extra_fields(frontend_node, field_config, function_args): """Add extra fields to the frontend node""" - if function_args is None or function_args == "": + if not function_args: return # sort function_args which is a list of dicts @@ -239,9 +269,7 @@ def add_extra_fields(frontend_node, field_config, function_args): if "name" not in extra_field or extra_field["name"] == "self": continue - field_name, field_type, field_value, field_required = get_field_properties( - extra_field - ) + field_name, field_type, field_value, field_required = get_field_properties(extra_field) config = field_config.get(field_name, {}) frontend_node = add_new_custom_field( frontend_node, @@ -270,20 +298,16 @@ def get_field_properties(extra_field): def add_base_classes(frontend_node, return_types: List[str]): """Add base classes to the frontend node""" - for return_type in return_types: - if return_type not in CUSTOM_COMPONENT_SUPPORTED_TYPES or return_type is None: + for return_type_instance in return_types: + if return_type_instance is None: raise HTTPException( status_code=400, detail={ - "error": ( - "Invalid return type should be one of: " - f"{list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys())}" - ), + "error": ("Invalid return type. Please check your code and try again."), "traceback": traceback.format_exc(), }, ) - return_type_instance = CUSTOM_COMPONENT_SUPPORTED_TYPES.get(return_type) base_classes = get_base_classes(return_type_instance) for base_class in base_classes: @@ -294,24 +318,29 @@ def add_base_classes(frontend_node, return_types: List[str]): def add_output_types(frontend_node, return_types: List[str]): """Add output types to the frontend node""" for return_type in return_types: - if return_type not in CUSTOM_COMPONENT_SUPPORTED_TYPES or return_type is None: + if return_type is None: raise HTTPException( status_code=400, detail={ - "error": ( - "Invalid return type should be one of: " - f"{list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys())}" - ), + "error": ("Invalid return type. Please check your code and try again."), "traceback": traceback.format_exc(), }, ) + if hasattr(return_type, "__name__"): + return_type = return_type.__name__ + elif hasattr(return_type, "__class__"): + return_type = return_type.__class__.__name__ + else: + return_type = str(return_type) frontend_node.get("output_types").append(return_type) -def build_langchain_template_custom_component( - custom_component: CustomComponent, user_id: Optional[Union[str, UUID]] = None -): +def build_custom_component_template( + custom_component: CustomComponent, + user_id: Optional[Union[str, UUID]] = None, + update_field: Optional[str] = None, +) -> Optional[Dict[str, Any]]: """Build a custom component template for the langchain""" try: logger.debug("Building custom component template") @@ -324,22 +353,16 @@ def build_langchain_template_custom_component( update_attributes(frontend_node, template_config) logger.debug("Updated attributes") - field_config = build_field_config(custom_component, user_id=user_id) + field_config = build_field_config(custom_component, user_id=user_id, update_field=update_field) logger.debug("Built field config") entrypoint_args = custom_component.get_function_entrypoint_args add_extra_fields(frontend_node, field_config, entrypoint_args) logger.debug("Added extra fields") - frontend_node = add_code_field( - frontend_node, custom_component.code, field_config.get("code", {}) - ) + frontend_node = add_code_field(frontend_node, custom_component.code, field_config.get("code", {})) logger.debug("Added code field") - add_base_classes( - frontend_node, custom_component.get_function_entrypoint_return_type - ) - add_output_types( - frontend_node, custom_component.get_function_entrypoint_return_type - ) + add_base_classes(frontend_node, custom_component.get_function_entrypoint_return_type) + add_output_types(frontend_node, custom_component.get_function_entrypoint_return_type) logger.debug("Added base classes") return frontend_node except Exception as exc: @@ -348,9 +371,7 @@ def build_langchain_template_custom_component( raise HTTPException( status_code=400, detail={ - "error": ( - "Invalid type convertion. Please check your code and try again." - ), + "error": ("Invalid type convertion. Please check your code and try again."), "traceback": traceback.format_exc(), }, ) from exc @@ -374,119 +395,147 @@ def build_and_validate_all_files(reader: DirectoryReader, file_list): def build_valid_menu(valid_components): - """Build the valid menu""" + """Build the valid menu.""" valid_menu = {} logger.debug("------------------- VALID COMPONENTS -------------------") for menu_item in valid_components["menu"]: menu_name = menu_item["name"] - valid_menu[menu_name] = {} - - for component in menu_item["components"]: - logger.debug( - f"Building component: {component.get('name'), component.get('output_types')}" - ) - try: - component_name = component["name"] - component_code = component["code"] - component_output_types = component["output_types"] - - component_extractor = CustomComponent(code=component_code) - component_extractor.is_check_valid() - - component_template = build_langchain_template_custom_component( - component_extractor - ) - component_template["output_types"] = component_output_types - if len(component_output_types) == 1: - component_name = component_output_types[0] - else: - file_name = component.get("file").split(".")[0] - if "_" in file_name: - # turn .py file into camelcase - component_name = "".join( - [word.capitalize() for word in file_name.split("_")] - ) - else: - component_name = file_name - - valid_menu[menu_name][component_name] = component_template - logger.debug(f"Added {component_name} to valid menu to {menu_name}") - - except Exception as exc: - logger.error(f"Error loading Component: {component['output_types']}") - logger.exception( - f"Error while building custom component {component_output_types}: {exc}" - ) - + valid_menu[menu_name] = build_menu_items(menu_item) return valid_menu +def build_menu_items(menu_item): + """Build menu items for a given menu.""" + menu_items = {} + for component in menu_item["components"]: + try: + component_name, component_template = build_component(component) + menu_items[component_name] = component_template + logger.debug(f"Added {component_name} to valid menu.") + except Exception as exc: + logger.error(f"Error loading Component: {component['output_types']}") + logger.exception(f"Error while building custom component {component['output_types']}: {exc}") + return menu_items + + +def build_component(component): + """Build a single component.""" + logger.debug(f"Building component: {component.get('name'), component.get('output_types')}") + component_name = determine_component_name(component) + component_template = create_component_template(component) + return component_name, component_template + + +def determine_component_name(component): + """Determine the name of the component.""" + component_output_types = component["output_types"] + if len(component_output_types) == 1: + return component_output_types[0] + else: + file_name = component.get("file").split(".")[0] + return "".join(word.capitalize() for word in file_name.split("_")) if "_" in file_name else file_name + + +def create_component_template(component): + """Create a template for a component.""" + component_code = component["code"] + component_output_types = component["output_types"] + + component_extractor = CustomComponent(code=component_code) + component_extractor.validate() + + component_template = build_custom_component_template(component_extractor) + component_template["output_types"] = component_output_types + return component_template + + def build_invalid_menu(invalid_components): - """Build the invalid menu""" - if invalid_components.get("menu"): - logger.debug("------------------- INVALID COMPONENTS -------------------") + """Build the invalid menu.""" + if not invalid_components.get("menu"): + return {} + + logger.debug("------------------- INVALID COMPONENTS -------------------") invalid_menu = {} for menu_item in invalid_components["menu"]: menu_name = menu_item["name"] - invalid_menu[menu_name] = {} - - for component in menu_item["components"]: - try: - component_name = component["name"] - component_code = component["code"] - - component_template = ( - CustomComponentFrontendNode( - description="ERROR - Check your Python Code", - display_name=f"ERROR - {component_name}", - ) - .to_dict() - .get(type(CustomComponent()).__name__) - ) - - component_template["error"] = component.get("error", None) - logger.debug(component) - logger.debug(f"Component Path: {component.get('path', None)}") - logger.debug(f"Component Error: {component.get('error', None)}") - component_template.get("template").get("code")["value"] = component_code - - invalid_menu[menu_name][component_name] = component_template - logger.debug(f"Added {component_name} to invalid menu to {menu_name}") - - except Exception as exc: - logger.exception( - f"Error while creating custom component [{component_name}]: {str(exc)}" - ) - + invalid_menu[menu_name] = build_invalid_menu_items(menu_item) return invalid_menu +def build_invalid_menu_items(menu_item): + """Build invalid menu items for a given menu.""" + menu_items = {} + for component in menu_item["components"]: + try: + component_name, component_template = build_invalid_component(component) + menu_items[component_name] = component_template + logger.debug(f"Added {component_name} to invalid menu.") + except Exception as exc: + logger.exception(f"Error while creating custom component [{component_name}]: {str(exc)}") + return menu_items + + +def build_invalid_component(component): + """Build a single invalid component.""" + component_name = component["name"] + component_template = create_invalid_component_template(component, component_name) + log_invalid_component_details(component) + return component_name, component_template + + +def create_invalid_component_template(component, component_name): + """Create a template for an invalid component.""" + component_code = component["code"] + component_template = ( + CustomComponentFrontendNode( + description="ERROR - Check your Python Code", + display_name=f"ERROR - {component_name}", + ) + .to_dict() + .get(type(CustomComponent()).__name__) + ) + + component_template["error"] = component.get("error", None) + component_template.get("template").get("code")["value"] = component_code + return component_template + + +def log_invalid_component_details(component): + """Log details of an invalid component.""" + logger.debug(component) + logger.debug(f"Component Path: {component.get('path', None)}") + logger.debug(f"Component Error: {component.get('error', None)}") + + +def get_new_key(dictionary, original_key): + counter = 1 + new_key = original_key + " (" + str(counter) + ")" + while new_key in dictionary: + counter += 1 + new_key = original_key + " (" + str(counter) + ")" + return new_key + + def merge_nested_dicts_with_renaming(dict1, dict2): for key, value in dict2.items(): - if ( - key in dict1 - and isinstance(value, dict) - and isinstance(dict1.get(key), dict) - ): + if key in dict1 and isinstance(value, dict) and isinstance(dict1.get(key), dict): for sub_key, sub_value in value.items(): - if sub_key in dict1[key]: - new_key = get_new_key(dict1[key], sub_key) - dict1[key][new_key] = sub_value - else: - dict1[key][sub_key] = sub_value + # if sub_key in dict1[key]: + # new_key = get_new_key(dict1[key], sub_key) + # dict1[key][new_key] = sub_value + # else: + dict1[key][sub_key] = sub_value else: dict1[key] = value return dict1 -def build_langchain_custom_component_list_from_path(path: str): +def build_custom_component_list_from_path(path: str): """Build a list of custom components for the langchain from a given path""" file_list = load_files_from_path(path) reader = DirectoryReader(path, False) - valid_components, invalid_components = build_and_validate_all_files( - reader, file_list - ) + valid_components, invalid_components = build_and_validate_all_files(reader, file_list) valid_menu = build_valid_menu(valid_components) invalid_menu = build_invalid_menu(invalid_components) @@ -495,42 +544,35 @@ def build_langchain_custom_component_list_from_path(path: str): def get_all_types_dict(settings_service): + """Get all types dictionary combining native and custom components.""" native_components = build_langchain_types_dict() - # custom_components is a list of dicts - # need to merge all the keys into one dict - custom_components_from_file: dict[str, Any] = {} - if settings_service.settings.COMPONENTS_PATH: - logger.info( - f"Building custom components from {settings_service.settings.COMPONENTS_PATH}" - ) + custom_components_from_file = build_custom_components(settings_service) + return merge_nested_dicts_with_renaming(native_components, custom_components_from_file) - custom_component_dicts = [] - processed_paths = [] - for path in settings_service.settings.COMPONENTS_PATH: - if str(path) in processed_paths: - continue - custom_component_dict = build_langchain_custom_component_list_from_path( - str(path) - ) - custom_component_dicts.append(custom_component_dict) - processed_paths.append(str(path)) - logger.info(f"Loading {len(custom_component_dicts)} category(ies)") - for custom_component_dict in custom_component_dicts: - # custom_component_dict is a dict of dicts - if not custom_component_dict: - continue - category = list(custom_component_dict.keys())[0] - logger.info( - f"Loading {len(custom_component_dict[category])} component(s) from category {category}" - ) +def build_custom_components(settings_service): + """Build custom components from the specified paths.""" + if not settings_service.settings.COMPONENTS_PATH: + return {} + + logger.info(f"Building custom components from {settings_service.settings.COMPONENTS_PATH}") + custom_components_from_file = {} + processed_paths = set() + for path in settings_service.settings.COMPONENTS_PATH: + path_str = str(path) + if path_str in processed_paths: + continue + + custom_component_dict = build_custom_component_list_from_path(path_str) + if custom_component_dict: + category = next(iter(custom_component_dict)) + logger.info(f"Loading {len(custom_component_dict[category])} component(s) from category {category}") custom_components_from_file = merge_nested_dicts_with_renaming( custom_components_from_file, custom_component_dict ) + processed_paths.add(path_str) - return merge_nested_dicts_with_renaming( - native_components, custom_components_from_file - ) + return custom_components_from_file def merge_nested_dicts(dict1, dict2): @@ -540,3 +582,9 @@ def merge_nested_dicts(dict1, dict2): else: dict1[key] = value return dict1 + + +def create_and_validate_component(code: str) -> CustomComponent: + component = CustomComponent(code=code) + component.validate() + return component diff --git a/src/backend/langflow/interface/utilities/base.py b/src/backend/langflow/interface/utilities/base.py index a404417dc..cfebf83a4 100644 --- a/src/backend/langflow/interface/utilities/base.py +++ b/src/backend/langflow/interface/utilities/base.py @@ -1,14 +1,13 @@ from typing import Dict, List, Optional, Type from langchain import utilities +from loguru import logger from langflow.custom.customs import get_custom_nodes from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.services.getters import get_settings_service - +from langflow.services.deps import get_settings_service from langflow.template.frontend_node.utilities import UtilitiesFrontendNode -from loguru import logger from langflow.utils.util import build_template_from_class @@ -41,8 +40,7 @@ class UtilityCreator(LangChainTypeCreator): self.type_dict = { name: utility for name, utility in self.type_dict.items() - if name in settings_service.settings.UTILITIES - or settings_service.settings.DEV + if name in settings_service.settings.UTILITIES or settings_service.settings.DEV } return self.type_dict diff --git a/src/backend/langflow/interface/utils.py b/src/backend/langflow/interface/utils.py index b28a660bf..6f7ec9329 100644 --- a/src/backend/langflow/interface/utils.py +++ b/src/backend/langflow/interface/utils.py @@ -10,7 +10,7 @@ from langchain.base_language import BaseLanguageModel from PIL.Image import Image from loguru import logger from langflow.services.chat.config import ChatConfig -from langflow.services.getters import get_settings_service +from langflow.services.deps import get_settings_service def load_file_into_dict(file_path: str) -> dict: @@ -43,9 +43,7 @@ def try_setting_streaming_options(langchain_object): llm = None if hasattr(langchain_object, "llm"): llm = langchain_object.llm - elif hasattr(langchain_object, "llm_chain") and hasattr( - langchain_object.llm_chain, "llm" - ): + elif hasattr(langchain_object, "llm_chain") and hasattr(langchain_object.llm_chain, "llm"): llm = langchain_object.llm_chain.llm if isinstance(llm, BaseLanguageModel): @@ -79,9 +77,7 @@ def set_langchain_cache(settings): if cache_type := os.getenv("LANGFLOW_LANGCHAIN_CACHE"): try: - cache_class = import_class( - f"langchain.cache.{cache_type or settings.LANGCHAIN_CACHE}" - ) + cache_class = import_class(f"langchain.cache.{cache_type or settings.LANGCHAIN_CACHE}") logger.debug(f"Setting up LLM caching with {cache_class.__name__}") langchain.llm_cache = cache_class() diff --git a/src/backend/langflow/interface/vector_store/base.py b/src/backend/langflow/interface/vector_store/base.py index 786031a6b..d04689469 100644 --- a/src/backend/langflow/interface/vector_store/base.py +++ b/src/backend/langflow/interface/vector_store/base.py @@ -4,7 +4,7 @@ from langchain import vectorstores from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.services.getters import get_settings_service +from langflow.services.deps import get_settings_service from langflow.template.frontend_node.vectorstores import VectorStoreFrontendNode from loguru import logger @@ -22,9 +22,7 @@ class VectorstoreCreator(LangChainTypeCreator): def type_to_loader_dict(self) -> Dict: if self.type_dict is None: self.type_dict: dict[str, Any] = { - vectorstore_name: import_class( - f"langchain.vectorstores.{vectorstore_name}" - ) + vectorstore_name: import_class(f"langchain.vectorstores.{vectorstore_name}") for vectorstore_name in vectorstores.__all__ } return self.type_dict @@ -48,8 +46,7 @@ class VectorstoreCreator(LangChainTypeCreator): return [ vectorstore for vectorstore in self.type_to_loader_dict.keys() - if vectorstore in settings_service.settings.VECTORSTORES - or settings_service.settings.DEV + if vectorstore in settings_service.settings.VECTORSTORES or settings_service.settings.DEV ] diff --git a/src/backend/langflow/interface/wrappers/base.py b/src/backend/langflow/interface/wrappers/base.py index e0e762e99..38d61af78 100644 --- a/src/backend/langflow/interface/wrappers/base.py +++ b/src/backend/langflow/interface/wrappers/base.py @@ -16,8 +16,7 @@ class WrapperCreator(LangChainTypeCreator): def type_to_loader_dict(self) -> Dict: if self.type_dict is None: self.type_dict = { - wrapper.__name__: wrapper - for wrapper in [requests.TextRequestsWrapper, sql_database.SQLDatabase] + wrapper.__name__: wrapper for wrapper in [requests.TextRequestsWrapper, sql_database.SQLDatabase] } return self.type_dict diff --git a/src/backend/langflow/main.py b/src/backend/langflow/main.py index 9caa157d0..b4acdedf9 100644 --- a/src/backend/langflow/main.py +++ b/src/backend/langflow/main.py @@ -1,29 +1,33 @@ +from contextlib import asynccontextmanager from pathlib import Path from typing import Optional -from fastapi import FastAPI +from urllib.parse import urlencode + +from fastapi import FastAPI, Request from fastapi.middleware.cors import CORSMiddleware from fastapi.responses import FileResponse from fastapi.staticfiles import StaticFiles - from langflow.api import router - - from langflow.interface.utils import setup_llm_caching -from langflow.services.utils import initialize_services -from langflow.services.plugins.langfuse import LangfuseInstance -from langflow.services.utils import ( - teardown_services, -) +from langflow.services.plugins.langfuse_plugin import LangfuseInstance +from langflow.services.utils import initialize_services, teardown_services from langflow.utils.logger import configure +@asynccontextmanager +async def lifespan(app: FastAPI): + initialize_services() + setup_llm_caching() + LangfuseInstance.update() + yield + teardown_services() + def create_app(): """Create the FastAPI app and include the router.""" configure() - app = FastAPI() - + app = FastAPI(lifespan=lifespan) origins = ["*"] app.add_middleware( @@ -34,18 +38,23 @@ def create_app(): allow_headers=["*"], ) + @app.middleware("http") + async def flatten_query_string_lists(request: Request, call_next): + flattened: list[tuple[str, str]] = [] + for key, value in request.query_params.multi_items(): + flattened.extend((key, entry) for entry in value.split(",")) + + request.scope["query_string"] = urlencode(flattened, doseq=True).encode("utf-8") + + return await call_next(request) + @app.get("/health") def health(): return {"status": "ok"} + app.include_router(router) - app.on_event("startup")(initialize_services) - app.on_event("startup")(setup_llm_caching) - app.on_event("startup")(LangfuseInstance.update) - - app.on_event("shutdown")(teardown_services) - app.on_event("shutdown")(LangfuseInstance.teardown) return app @@ -78,9 +87,7 @@ def get_static_files_dir(): return frontend_path / "frontend" -def setup_app( - static_files_dir: Optional[Path] = None, backend_only: bool = False -) -> FastAPI: +def setup_app(static_files_dir: Optional[Path] = None, backend_only: bool = False) -> FastAPI: """Setup the FastAPI app.""" # get the directory of the current file if not static_files_dir: diff --git a/src/backend/langflow/processing/base.py b/src/backend/langflow/processing/base.py index 6c56a59dd..4bcbb3e7e 100644 --- a/src/backend/langflow/processing/base.py +++ b/src/backend/langflow/processing/base.py @@ -1,12 +1,12 @@ -from typing import List, Union, TYPE_CHECKING -from langflow.api.v1.callback import ( - AsyncStreamingLLMCallbackHandler, - StreamingLLMCallbackHandler, -) -from langflow.processing.process import fix_memory_inputs, format_actions -from loguru import logger +from typing import TYPE_CHECKING, List, Union + from langchain.agents.agent import AgentExecutor from langchain.callbacks.base import BaseCallbackHandler +from langflow.api.v1.callback import (AsyncStreamingLLMCallbackHandler, + StreamingLLMCallbackHandler) +from langflow.processing.process import fix_memory_inputs, format_actions +from langflow.services.deps import get_plugins_service +from loguru import logger if TYPE_CHECKING: from langfuse.callback import CallbackHandler # type: ignore @@ -20,23 +20,22 @@ def setup_callbacks(sync, trace_id, **kwargs): else: callbacks.append(AsyncStreamingLLMCallbackHandler(**kwargs)) - if langfuse_callback := get_langfuse_callback(trace_id=trace_id): - logger.debug("Langfuse callback loaded") - callbacks.append(langfuse_callback) + plugin_service = get_plugins_service() + plugin_callbacks = plugin_service.get_callbacks(_id=trace_id) + if plugin_callbacks: + callbacks.extend(plugin_callbacks) return callbacks def get_langfuse_callback(trace_id): - from langflow.services.plugins.langfuse import LangfuseInstance + from langflow.services.deps import get_plugins_service from langfuse.callback import CreateTrace logger.debug("Initializing langfuse callback") - if langfuse := LangfuseInstance.get(): + if langfuse := get_plugins_service().get("langfuse"): logger.debug("Langfuse credentials found") try: - trace = langfuse.trace( - CreateTrace(name="langflow-" + trace_id, id=trace_id) - ) + trace = langfuse.trace(CreateTrace(name="langflow-" + trace_id, id=trace_id)) return trace.getNewHandler() except Exception as exc: logger.error(f"Error initializing langfuse callback: {exc}") @@ -44,14 +43,12 @@ def get_langfuse_callback(trace_id): return None -def flush_langfuse_callback_if_present( - callbacks: List[Union[BaseCallbackHandler, "CallbackHandler"]] -): +def flush_langfuse_callback_if_present(callbacks: List[Union[BaseCallbackHandler, "CallbackHandler"]]): """ If langfuse callback is present, run callback.langfuse.flush() """ for callback in callbacks: - if hasattr(callback, "langfuse"): + if hasattr(callback, "langfuse") and hasattr(callback.langfuse, "flush"): callback.langfuse.flush() break @@ -88,15 +85,9 @@ async def get_result_and_steps(langchain_object, inputs: Union[dict, str], **kwa # if langfuse callback is present, run callback.langfuse.flush() flush_langfuse_callback_if_present(callbacks) - intermediate_steps = ( - output.get("intermediate_steps", []) if isinstance(output, dict) else [] - ) + intermediate_steps = output.get("intermediate_steps", []) if isinstance(output, dict) else [] - result = ( - output.get(langchain_object.output_keys[0]) - if isinstance(output, dict) - else output - ) + result = output.get(langchain_object.output_keys[0]) if isinstance(output, dict) else output try: thought = format_actions(intermediate_steps) if intermediate_steps else "" except Exception as exc: @@ -105,4 +96,4 @@ async def get_result_and_steps(langchain_object, inputs: Union[dict, str], **kwa except Exception as exc: logger.exception(exc) raise ValueError(f"Error: {str(exc)}") from exc - return result, thought + return result, thought, output diff --git a/src/backend/langflow/processing/process.py b/src/backend/langflow/processing/process.py index 092928a31..de0890802 100644 --- a/src/backend/langflow/processing/process.py +++ b/src/backend/langflow/processing/process.py @@ -1,15 +1,15 @@ +import asyncio import json from pathlib import Path -from typing import Any, Dict, List, Optional, Tuple, Union +from typing import Any, Coroutine, Dict, List, Optional, Tuple, Union from langchain.agents import AgentExecutor from langchain.chains.base import Chain from langchain.schema import AgentAction, Document from langchain.vectorstores.base import VectorStore from langflow.graph import Graph -from langflow.interface.run import (build_sorted_vertices, get_memory_key, - update_memory_keys) -from langflow.services.getters import get_session_service +from langflow.interface.run import build_sorted_vertices, get_memory_key, update_memory_keys +from langflow.services.deps import get_session_service from loguru import logger from pydantic import BaseModel @@ -106,20 +106,6 @@ def get_build_result(data_graph, session_id): return build_sorted_vertices(data_graph) -def load_langchain_object( - data_graph: Dict[str, Any], session_id: str -) -> Tuple[Union[Chain, VectorStore], Dict[str, Any], str]: - langchain_object, artifacts = get_build_result(data_graph, session_id) - logger.debug("Loaded LangChain object") - - if langchain_object is None: - raise ValueError( - "There was an error loading the langchain_object. Please, check all the nodes and try again." - ) - - return langchain_object, artifacts, session_id - - def process_inputs(inputs: Optional[dict], artifacts: Dict[str, Any]) -> dict: if inputs is None: inputs = {} @@ -147,6 +133,8 @@ def generate_result(langchain_object: Union[Chain, VectorStore], inputs: dict): result = langchain_object.dict() else: logger.warning(f"Unknown langchain_object type: {type(langchain_object)}") + if isinstance(langchain_object, Coroutine): + result = asyncio.run(langchain_object) result = langchain_object return result @@ -167,13 +155,14 @@ async def process_graph_cached( if clear_cache: session_service.clear_session(session_id) if session_id is None: - session_id = session_service.generate_key( - session_id=session_id, data_graph=data_graph - ) + session_id = session_service.generate_key(session_id=session_id, data_graph=data_graph) # Load the graph using SessionService - graph, artifacts = session_service.load_session(session_id, data_graph) - built_object = graph.build() - processed_inputs = process_inputs(inputs, artifacts) + session = await session_service.load_session(session_id, data_graph) + graph, artifacts = session if session else (None, None) + if not graph: + raise ValueError("Graph not found in the session") + built_object = await graph.build() + processed_inputs = process_inputs(inputs, artifacts or {}) result = generate_result(built_object, processed_inputs) # langchain_object is now updated with the new memory # we need to update the cache with the updated langchain_object @@ -182,9 +171,7 @@ async def process_graph_cached( return Result(result=result, session_id=session_id) -def load_flow_from_json( - flow: Union[Path, str, dict], tweaks: Optional[dict] = None, build=True -): +def load_flow_from_json(flow: Union[Path, str, dict], tweaks: Optional[dict] = None, build=True): """ Load flow from a JSON file or a JSON object. @@ -201,9 +188,7 @@ def load_flow_from_json( elif isinstance(flow, dict): flow_graph = flow else: - raise TypeError( - "Input must be either a file path (str) or a JSON object (dict)" - ) + raise TypeError("Input must be either a file path (str) or a JSON object (dict)") graph_data = flow_graph["data"] if tweaks is not None: @@ -213,7 +198,7 @@ def load_flow_from_json( graph = Graph(nodes, edges) if build: - langchain_object = graph.build() + langchain_object = asyncio.run(graph.build()) if hasattr(langchain_object, "verbose"): langchain_object.verbose = True @@ -229,18 +214,14 @@ def load_flow_from_json( return graph -def validate_input( - graph_data: Dict[str, Any], tweaks: Dict[str, Dict[str, Any]] -) -> List[Dict[str, Any]]: +def validate_input(graph_data: Dict[str, Any], tweaks: Dict[str, Dict[str, Any]]) -> List[Dict[str, Any]]: if not isinstance(graph_data, dict) or not isinstance(tweaks, dict): raise ValueError("graph_data and tweaks should be dictionaries") nodes = graph_data.get("data", {}).get("nodes") or graph_data.get("nodes") if not isinstance(nodes, list): - raise ValueError( - "graph_data should contain a list of nodes under 'data' key or directly under 'nodes' key" - ) + raise ValueError("graph_data should contain a list of nodes under 'data' key or directly under 'nodes' key") return nodes @@ -249,9 +230,7 @@ def apply_tweaks(node: Dict[str, Any], node_tweaks: Dict[str, Any]) -> None: template_data = node.get("data", {}).get("node", {}).get("template") if not isinstance(template_data, dict): - logger.warning( - f"Template data for node {node.get('id')} should be a dictionary" - ) + logger.warning(f"Template data for node {node.get('id')} should be a dictionary") return for tweak_name, tweak_value in node_tweaks.items(): @@ -260,9 +239,7 @@ def apply_tweaks(node: Dict[str, Any], node_tweaks: Dict[str, Any]) -> None: template_data[tweak_name][key] = tweak_value -def process_tweaks( - graph_data: Dict[str, Any], tweaks: Dict[str, Dict[str, Any]] -) -> Dict[str, Any]: +def process_tweaks(graph_data: Dict[str, Any], tweaks: Dict[str, Dict[str, Any]]) -> Dict[str, Any]: """ This function is used to tweak the graph data using the node id and the tweaks dict. @@ -283,8 +260,6 @@ def process_tweaks( if node_tweaks := tweaks.get(node_id): apply_tweaks(node, node_tweaks) else: - logger.warning( - "Each node should be a dictionary with an 'id' key of type str" - ) + logger.warning("Each node should be a dictionary with an 'id' key of type str") return graph_data diff --git a/src/backend/langflow/server.py b/src/backend/langflow/server.py index 3a2943444..9fe432744 100644 --- a/src/backend/langflow/server.py +++ b/src/backend/langflow/server.py @@ -10,11 +10,7 @@ class LangflowApplication(BaseApplication): super().__init__() def load_config(self): - config = { - key: value - for key, value in self.options.items() - if key in self.cfg.settings and value is not None - } + config = {key: value for key, value in self.options.items() if key in self.cfg.settings and value is not None} for key, value in config.items(): self.cfg.set(key.lower(), value) diff --git a/src/backend/langflow/services/auth/service.py b/src/backend/langflow/services/auth/service.py index 5b0acf8c6..8beef8dcb 100644 --- a/src/backend/langflow/services/auth/service.py +++ b/src/backend/langflow/services/auth/service.py @@ -2,7 +2,7 @@ from langflow.services.base import Service from typing import TYPE_CHECKING if TYPE_CHECKING: - from langflow.services.settings.manager import SettingsService + from langflow.services.settings.service import SettingsService class AuthService(Service): diff --git a/src/backend/langflow/services/auth/utils.py b/src/backend/langflow/services/auth/utils.py index 7cc91c117..912d1fbe8 100644 --- a/src/backend/langflow/services/auth/utils.py +++ b/src/backend/langflow/services/auth/utils.py @@ -1,30 +1,25 @@ from datetime import datetime, timedelta, timezone +from typing import Annotated, Coroutine, Optional, Union +from uuid import UUID + +from cryptography.fernet import Fernet from fastapi import Depends, HTTPException, Security, status from fastapi.security import APIKeyHeader, APIKeyQuery, OAuth2PasswordBearer from jose import JWTError, jwt -from typing import Annotated, Coroutine, Optional, Union -from uuid import UUID -from langflow.services.database.models.api_key.api_key import ApiKey -from langflow.services.database.models.api_key.crud import check_key -from langflow.services.database.models.user.user import User -from langflow.services.database.models.user.crud import ( - get_user_by_id, - get_user_by_username, - update_user_last_login_at, -) -from langflow.services.getters import get_session, get_settings_service from sqlmodel import Session +from langflow.services.database.models.api_key.model import ApiKey +from langflow.services.database.models.api_key.crud import check_key +from langflow.services.database.models.user.crud import get_user_by_id, get_user_by_username, update_user_last_login_at +from langflow.services.database.models.user.model import User +from langflow.services.deps import get_session, get_settings_service + oauth2_login = OAuth2PasswordBearer(tokenUrl="api/v1/login", auto_error=False) API_KEY_NAME = "x-api-key" -api_key_query = APIKeyQuery( - name=API_KEY_NAME, scheme_name="API key query", auto_error=False -) -api_key_header = APIKeyHeader( - name=API_KEY_NAME, scheme_name="API key header", auto_error=False -) +api_key_query = APIKeyQuery(name=API_KEY_NAME, scheme_name="API key query", auto_error=False) +api_key_header = APIKeyHeader(name=API_KEY_NAME, scheme_name="API key header", auto_error=False) # Source: https://github.com/mrtolkien/fastapi_simple_security/blob/master/fastapi_simple_security/security_api_key.py @@ -80,7 +75,7 @@ async def get_current_user( if not query_param and not header_param: raise HTTPException( status_code=status.HTTP_403_FORBIDDEN, - detail="An API key must be passed as query or header", + detail="An API key as query or header, or a JWT token must be passed", ) user = await api_key_security(query_param, header_param, db) if user: @@ -141,23 +136,17 @@ def get_current_active_user(current_user: Annotated[User, Depends(get_current_us return current_user -def get_current_active_superuser( - current_user: Annotated[User, Depends(get_current_user)] -) -> User: +def get_current_active_superuser(current_user: Annotated[User, Depends(get_current_user)]) -> User: if not current_user.is_active: raise HTTPException(status_code=401, detail="Inactive user") if not current_user.is_superuser: - raise HTTPException( - status_code=400, detail="The user doesn't have enough privileges" - ) + raise HTTPException(status_code=400, detail="The user doesn't have enough privileges") return current_user def verify_password(plain_password, hashed_password): settings_service = get_settings_service() - return settings_service.auth_settings.pwd_context.verify( - plain_password, hashed_password - ) + return settings_service.auth_settings.pwd_context.verify(plain_password, hashed_password) def get_password_hash(password): @@ -246,22 +235,16 @@ def get_user_id_from_token(token: str) -> UUID: return UUID(int=0) -def create_user_tokens( - user_id: UUID, db: Session = Depends(get_session), update_last_login: bool = False -) -> dict: +def create_user_tokens(user_id: UUID, db: Session = Depends(get_session), update_last_login: bool = False) -> dict: settings_service = get_settings_service() - access_token_expires = timedelta( - minutes=settings_service.auth_settings.ACCESS_TOKEN_EXPIRE_MINUTES - ) + access_token_expires = timedelta(minutes=settings_service.auth_settings.ACCESS_TOKEN_EXPIRE_MINUTES) access_token = create_token( data={"sub": str(user_id)}, expires_delta=access_token_expires, ) - refresh_token_expires = timedelta( - minutes=settings_service.auth_settings.REFRESH_TOKEN_EXPIRE_MINUTES - ) + refresh_token_expires = timedelta(minutes=settings_service.auth_settings.REFRESH_TOKEN_EXPIRE_MINUTES) refresh_token = create_token( data={"sub": str(user_id), "type": "rf"}, expires_delta=refresh_token_expires, @@ -291,9 +274,7 @@ def create_refresh_token(refresh_token: str, db: Session = Depends(get_session)) token_type: str = payload.get("type") # type: ignore if user_id is None or token_type is None: - raise HTTPException( - status_code=status.HTTP_401_UNAUTHORIZED, detail="Invalid refresh token" - ) + raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="Invalid refresh token") return create_user_tokens(user_id, db) @@ -304,9 +285,7 @@ def create_refresh_token(refresh_token: str, db: Session = Depends(get_session)) ) from e -def authenticate_user( - username: str, password: str, db: Session = Depends(get_session) -) -> Optional[User]: +def authenticate_user(username: str, password: str, db: Session = Depends(get_session)) -> Optional[User]: user = get_user_by_username(db, username) if not user: @@ -318,3 +297,35 @@ def authenticate_user( raise HTTPException(status_code=400, detail="Inactive user") return user if verify_password(password, user.password) else None + + +def add_padding(s): + # Calculate the number of padding characters needed + padding_needed = 4 - len(s) % 4 + return s + "=" * padding_needed + + +def get_fernet(settings_service=Depends(get_settings_service)): + SECRET_KEY = settings_service.auth_settings.SECRET_KEY + # It's important that your secret key is 32 url-safe base64-encoded bytes + padded_secret_key = add_padding(SECRET_KEY) + fernet = Fernet(padded_secret_key) + return fernet + + +def encrypt_api_key(api_key: str, settings_service=Depends(get_settings_service)): + fernet = get_fernet(settings_service) + # Two-way encryption + encrypted_key = fernet.encrypt(api_key.encode()) + return encrypted_key + + +def decrypt_api_key(encrypted_api_key: str, settings_service=Depends(get_settings_service)): + fernet = get_fernet(settings_service) + # Two-way decryption + if isinstance(encrypted_api_key, str): + encoded_bytes = encrypted_api_key.encode() + else: + encoded_bytes = encrypted_api_key + decrypted_key = fernet.decrypt(encoded_bytes).decode() + return decrypted_key diff --git a/src/backend/langflow/services/cache/__init__.py b/src/backend/langflow/services/cache/__init__.py index 3b122aa9e..bf3a7c5ee 100644 --- a/src/backend/langflow/services/cache/__init__.py +++ b/src/backend/langflow/services/cache/__init__.py @@ -1,9 +1,9 @@ -from . import factory, manager -from langflow.services.cache.manager import InMemoryCache +from . import factory, service +from langflow.services.cache.service import InMemoryCache __all__ = [ "factory", - "manager", + "service", "InMemoryCache", ] diff --git a/src/backend/langflow/services/cache/base.py b/src/backend/langflow/services/cache/base.py index 4eee6639e..3b34e12f6 100644 --- a/src/backend/langflow/services/cache/base.py +++ b/src/backend/langflow/services/cache/base.py @@ -1,7 +1,9 @@ import abc +from langflow.services.base import Service -class BaseCacheService(abc.ABC): + +class BaseCacheService(Service): """ Abstract base class for a cache. """ diff --git a/src/backend/langflow/services/cache/factory.py b/src/backend/langflow/services/cache/factory.py index f00ab239f..10e657bc5 100644 --- a/src/backend/langflow/services/cache/factory.py +++ b/src/backend/langflow/services/cache/factory.py @@ -1,10 +1,10 @@ -from langflow.services.cache.manager import InMemoryCache, RedisCache, BaseCacheService +from langflow.services.cache.service import InMemoryCache, RedisCache, BaseCacheService from langflow.services.factory import ServiceFactory from langflow.utils.logger import logger from typing import TYPE_CHECKING if TYPE_CHECKING: - from langflow.services.settings.manager import SettingsService + from langflow.services.settings.service import SettingsService class CacheServiceFactory(ServiceFactory): @@ -26,9 +26,7 @@ class CacheServiceFactory(ServiceFactory): if redis_cache.is_connected(): logger.debug("Redis cache is connected") return redis_cache - logger.warning( - "Redis cache is not connected, falling back to in-memory cache" - ) + logger.warning("Redis cache is not connected, falling back to in-memory cache") return InMemoryCache() elif settings_service.settings.CACHE_TYPE == "memory": diff --git a/src/backend/langflow/services/cache/manager.py b/src/backend/langflow/services/cache/service.py similarity index 94% rename from src/backend/langflow/services/cache/manager.py rename to src/backend/langflow/services/cache/service.py index da76a2b5c..3ee8d001b 100644 --- a/src/backend/langflow/services/cache/manager.py +++ b/src/backend/langflow/services/cache/service.py @@ -68,10 +68,7 @@ class InMemoryCache(BaseCacheService, Service): Retrieve an item from the cache without acquiring the lock. """ if item := self._cache.get(key): - if ( - self.expiration_time is None - or time.time() - item["time"] < self.expiration_time - ): + if self.expiration_time is None or time.time() - item["time"] < self.expiration_time: # Move the key to the end to make it recently used self._cache.move_to_end(key) # Check if the value is pickled @@ -118,11 +115,7 @@ class InMemoryCache(BaseCacheService, Service): """ with self._lock: existing_value = self._get_without_lock(key) - if ( - existing_value is not None - and isinstance(existing_value, dict) - and isinstance(value, dict) - ): + if existing_value is not None and isinstance(existing_value, dict) and isinstance(value, dict): existing_value.update(value) value = existing_value @@ -276,9 +269,7 @@ class RedisCache(BaseCacheService, Service): if not result: raise ValueError("RedisCache could not set the value.") except TypeError as exc: - raise TypeError( - "RedisCache only accepts values that can be pickled. " - ) from exc + raise TypeError("RedisCache only accepts values that can be pickled. ") from exc def upsert(self, key, value): """ @@ -290,11 +281,7 @@ class RedisCache(BaseCacheService, Service): value: The value to insert or update. """ existing_value = self.get(key) - if ( - existing_value is not None - and isinstance(existing_value, dict) - and isinstance(value, dict) - ): + if existing_value is not None and isinstance(existing_value, dict) and isinstance(value, dict): existing_value.update(value) value = existing_value diff --git a/src/backend/langflow/services/cache/utils.py b/src/backend/langflow/services/cache/utils.py index 6443d2ea7..129e9a6b7 100644 --- a/src/backend/langflow/services/cache/utils.py +++ b/src/backend/langflow/services/cache/utils.py @@ -1,24 +1,23 @@ import base64 import contextlib -import functools import hashlib import os import tempfile -from collections import OrderedDict from pathlib import Path from typing import TYPE_CHECKING, Any, Dict -from platformdirs import user_cache_dir + from fastapi import UploadFile -from langflow.api.v1.schemas import BuildStatus -from langflow.services.database.models.base import orjson_dumps +from platformdirs import user_cache_dir if TYPE_CHECKING: - pass + from langflow.api.v1.schemas import BuildStatus CACHE: Dict[str, Any] = {} CACHE_DIR = user_cache_dir("langflow", "langflow") +PREFIX = "langflow_cache" + def create_cache_folder(func): def wrapper(*args, **kwargs): @@ -33,73 +32,19 @@ def create_cache_folder(func): return wrapper -def memoize_dict(maxsize=128): - cache = OrderedDict() - hash_to_key = {} # Mapping from hash to cache key - - def decorator(func): - @functools.wraps(func) - def wrapper(*args, **kwargs): - hashed = compute_dict_hash(args[0]) - key = (func.__name__, hashed, frozenset(kwargs.items())) - if key not in cache: - result = func(*args, **kwargs) - cache[key] = result - hash_to_key[hashed] = key # Store the mapping - if len(cache) > maxsize: - oldest_key = next(iter(cache)) - oldest_hash = oldest_key[1] - del cache[oldest_key] - del hash_to_key[oldest_hash] - else: - result = cache[key] - - wrapper.session_id = hashed # Store hash in the wrapper - return result - - def clear_cache(): - cache.clear() - hash_to_key.clear() - - def get_result_by_session_id(session_id): - key = hash_to_key.get(session_id) - return cache.get(key) if key is not None else None - - wrapper.clear_cache = clear_cache # type: ignore - wrapper.get_result_by_session_id = get_result_by_session_id # type: ignore - wrapper.hash = None - wrapper.cache = cache # type: ignore - return wrapper - - return decorator - - -PREFIX = "langflow_cache" - - @create_cache_folder def clear_old_cache_files(max_cache_size: int = 3): cache_dir = Path(tempfile.gettempdir()) / PREFIX cache_files = list(cache_dir.glob("*.dill")) if len(cache_files) > max_cache_size: - cache_files_sorted_by_mtime = sorted( - cache_files, key=lambda x: x.stat().st_mtime, reverse=True - ) + cache_files_sorted_by_mtime = sorted(cache_files, key=lambda x: x.stat().st_mtime, reverse=True) for cache_file in cache_files_sorted_by_mtime[max_cache_size:]: with contextlib.suppress(OSError): os.remove(cache_file) -def compute_dict_hash(graph_data): - graph_data = filter_json(graph_data) - - cleaned_graph_json = orjson_dumps(graph_data, sort_keys=True) - - return hashlib.sha256(cleaned_graph_json.encode("utf-8")).hexdigest() - - def filter_json(json_data): filtered_data = json_data.copy() @@ -205,9 +150,11 @@ def save_uploaded_file(file: UploadFile, folder_name): return file_path -def update_build_status(cache_service, flow_id: str, status: BuildStatus): +def update_build_status(cache_service, flow_id: str, status: "BuildStatus"): cached_flow = cache_service[flow_id] if cached_flow is None: raise ValueError(f"Flow {flow_id} not found in cache") cached_flow["status"] = status cache_service[flow_id] = cached_flow + cached_flow["status"] = status + cache_service[flow_id] = cached_flow diff --git a/src/backend/langflow/services/chat/factory.py b/src/backend/langflow/services/chat/factory.py index 54af7fcca..337488e0f 100644 --- a/src/backend/langflow/services/chat/factory.py +++ b/src/backend/langflow/services/chat/factory.py @@ -1,4 +1,4 @@ -from langflow.services.chat.manager import ChatService +from langflow.services.chat.service import ChatService from langflow.services.factory import ServiceFactory diff --git a/src/backend/langflow/services/chat/manager.py b/src/backend/langflow/services/chat/service.py similarity index 86% rename from src/backend/langflow/services/chat/manager.py rename to src/backend/langflow/services/chat/service.py index 59488d431..825279ac3 100644 --- a/src/backend/langflow/services/chat/manager.py +++ b/src/backend/langflow/services/chat/service.py @@ -1,20 +1,20 @@ -from collections import defaultdict +import asyncio import uuid +from collections import defaultdict +from typing import Any, Dict, List + +import orjson from fastapi import WebSocket, status -from starlette.websockets import WebSocketState from langflow.api.v1.schemas import ChatMessage, ChatResponse, FileResponse from langflow.interface.utils import pil_to_base64 +from langflow.services import ServiceType, service_manager from langflow.services.base import Service from langflow.services.chat.cache import Subject from langflow.services.chat.utils import process_graph from loguru import logger +from starlette.websockets import WebSocketState from .cache import cache_service -import asyncio -from typing import Any, Dict, List - -from langflow.services import service_manager, ServiceType -import orjson class ChatHistory(Subject): @@ -59,9 +59,7 @@ class ChatService(Service): """Send the last chat message to the client.""" client_id = self.chat_cache.current_client_id if client_id in self.active_connections: - chat_response = self.chat_history.get_history( - client_id, filter_messages=False - )[-1] + chat_response = self.chat_history.get_history(client_id, filter_messages=False)[-1] if chat_response.is_bot: # Process FileResponse if isinstance(chat_response, FileResponse): @@ -88,9 +86,7 @@ class ChatService(Service): data_type=self.last_cached_object_dict["type"], ) - self.chat_history.add_message( - self.chat_cache.current_client_id, chat_response - ) + self.chat_history.add_message(self.chat_cache.current_client_id, chat_response) async def connect(self, client_id: str, websocket: WebSocket): self.active_connections[client_id] = websocket @@ -108,7 +104,7 @@ class ChatService(Service): async def send_json(self, client_id: str, message: ChatMessage): websocket = self.active_connections[client_id] - await websocket.send_json(message.dict()) + await websocket.send_json(message.model_dump()) async def close_connection(self, client_id: str, code: int, reason: str): if websocket := self.active_connections[client_id]: @@ -121,9 +117,7 @@ class ChatService(Service): if "after sending" in str(exc): logger.error(f"Error closing connection: {exc}") - async def process_message( - self, client_id: str, payload: Dict, langchain_object: Any - ): + async def process_message(self, client_id: str, payload: Dict, langchain_object: Any): # Process the graph data and chat message chat_inputs = payload.pop("inputs", {}) chatkey = payload.pop("chatKey", None) @@ -139,7 +133,7 @@ class ChatService(Service): try: logger.debug("Generating result and thought") - result, intermediate_steps = await process_graph( + result, intermediate_steps, raw_output = await process_graph( langchain_object=langchain_object, chat_inputs=chat_inputs, client_id=client_id, @@ -197,7 +191,7 @@ class ChatService(Service): try: chat_history = self.chat_history.get_history(client_id) # iterate and make BaseModel into dict - chat_history = [chat.dict() for chat in chat_history] + chat_history = [chat.model_dump() for chat in chat_history] await websocket.send_json(chat_history) while True: @@ -211,15 +205,11 @@ class ChatService(Service): continue with self.chat_cache.set_client_id(client_id): - if langchain_object := self.cache_service.get(client_id).get( - "result" - ): + if langchain_object := self.cache_service.get(client_id).get("result"): await self.process_message(client_id, payload, langchain_object) else: - raise RuntimeError( - f"Could not find a build result for client_id {client_id}" - ) + raise RuntimeError(f"Could not find a build result for client_id {client_id}") except Exception as exc: # Handle any exceptions that might occur logger.exception(f"Error handling websocket: {exc}") @@ -227,7 +217,7 @@ class ChatService(Service): await self.close_connection( client_id=client_id, code=status.WS_1011_INTERNAL_ERROR, - reason=str(exc)[:120], + reason=str(exc), ) elif websocket.client_state == WebSocketState.DISCONNECTED: self.disconnect(client_id) @@ -244,3 +234,26 @@ class ChatService(Service): except Exception as exc: logger.error(f"Error closing connection: {exc}") self.disconnect(client_id) + + +def dict_to_markdown_table(my_dict): + markdown_table = "| Key | Value |\n|---|---|\n" + for key, value in my_dict.items(): + markdown_table += f"| {key} | {value} |\n" + return markdown_table + + +def list_of_dicts_to_markdown_table(dict_list): + if not dict_list: + return "No data provided." + + # Extract headers from the keys of the first dictionary + headers = dict_list[0].keys() + markdown_table = "| " + " | ".join(headers) + " |\n" + markdown_table += "| " + " | ".join("---" for _ in headers) + " |\n" + + for row_dict in dict_list: + row = [str(row_dict.get(header, "")) for header in headers] + markdown_table += "| " + " | ".join(row) + " |\n" + + return markdown_table diff --git a/src/backend/langflow/services/chat/utils.py b/src/backend/langflow/services/chat/utils.py index 85b86a801..7970e5d89 100644 --- a/src/backend/langflow/services/chat/utils.py +++ b/src/backend/langflow/services/chat/utils.py @@ -1,8 +1,9 @@ -from langflow.api.v1.schemas import ChatMessage -from langflow.processing.base import get_result_and_steps -from langflow.interface.utils import try_setting_streaming_options from loguru import logger +from langflow.api.v1.schemas import ChatMessage +from langflow.interface.utils import try_setting_streaming_options +from langflow.processing.base import get_result_and_steps + async def process_graph( langchain_object, @@ -15,9 +16,7 @@ async def process_graph( if langchain_object is None: # Raise user facing error - raise ValueError( - "There was an error loading the langchain_object. Please, check all the nodes and try again." - ) + raise ValueError("There was an error loading the langchain_object. Please, check all the nodes and try again.") # Generate result and thought try: @@ -26,14 +25,14 @@ async def process_graph( chat_inputs.message = {} logger.debug("Generating result and thought") - result, intermediate_steps = await get_result_and_steps( + result, intermediate_steps, raw_output = await get_result_and_steps( langchain_object, chat_inputs.message, client_id=client_id, session_id=session_id, ) logger.debug("Generated result and intermediate_steps") - return result, intermediate_steps + return result, intermediate_steps, raw_output except Exception as e: # Log stack trace logger.exception(e) diff --git a/src/backend/langflow/services/credentials/__init__.py b/src/backend/langflow/services/credentials/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/backend/langflow/services/credentials/factory.py b/src/backend/langflow/services/credentials/factory.py new file mode 100644 index 000000000..c44a43da4 --- /dev/null +++ b/src/backend/langflow/services/credentials/factory.py @@ -0,0 +1,15 @@ +from typing import TYPE_CHECKING + +from langflow.services.credentials.service import CredentialService +from langflow.services.factory import ServiceFactory + +if TYPE_CHECKING: + from langflow.services.settings.service import SettingsService + + +class CredentialServiceFactory(ServiceFactory): + def __init__(self): + super().__init__(CredentialService) + + def create(self, settings_service: "SettingsService"): + return CredentialService(settings_service) diff --git a/src/backend/langflow/services/credentials/service.py b/src/backend/langflow/services/credentials/service.py new file mode 100644 index 000000000..08e04fdaa --- /dev/null +++ b/src/backend/langflow/services/credentials/service.py @@ -0,0 +1,37 @@ +from typing import TYPE_CHECKING, Optional, Union +from uuid import UUID + +from fastapi import Depends +from langflow.services.auth import utils as auth_utils +from langflow.services.base import Service +from langflow.services.database.models.credential.model import Credential +from langflow.services.deps import get_session +from sqlmodel import Session, select + +if TYPE_CHECKING: + from langflow.services.settings.service import SettingsService + + +class CredentialService(Service): + name = "credential_service" + + def __init__(self, settings_service: "SettingsService"): + self.settings_service = settings_service + + def get_credential(self, user_id: Union[UUID, str], name: str, session: Session = Depends(get_session)) -> str: + # we get the credential from the database + # credential = session.query(Credential).filter(Credential.user_id == user_id, Credential.name == name).first() + credential = session.exec( + select(Credential).where(Credential.user_id == user_id, Credential.name == name) + ).first() + # we decrypt the value + if not credential or not credential.value: + raise ValueError(f"{name} credential not found.") + decrypted = auth_utils.decrypt_api_key(credential.value, settings_service=self.settings_service) + return decrypted + + def list_credentials( + self, user_id: Union[UUID, str], session: Session = Depends(get_session) + ) -> list[Optional[str]]: + credentials = session.exec(select(Credential).where(Credential.user_id == user_id)).all() + return [credential.name for credential in credentials] diff --git a/src/backend/langflow/services/database/factory.py b/src/backend/langflow/services/database/factory.py index 3726f520b..57bf1668d 100644 --- a/src/backend/langflow/services/database/factory.py +++ b/src/backend/langflow/services/database/factory.py @@ -1,9 +1,9 @@ from typing import TYPE_CHECKING -from langflow.services.database.manager import DatabaseService +from langflow.services.database.service import DatabaseService from langflow.services.factory import ServiceFactory if TYPE_CHECKING: - from langflow.services.settings.manager import SettingsService + from langflow.services.settings.service import SettingsService class DatabaseServiceFactory(ServiceFactory): diff --git a/src/backend/langflow/services/database/models/__init__.py b/src/backend/langflow/services/database/models/__init__.py index 3cc4231a3..9dd3e0285 100644 --- a/src/backend/langflow/services/database/models/__init__.py +++ b/src/backend/langflow/services/database/models/__init__.py @@ -1,5 +1,6 @@ +from .api_key import ApiKey +from .credential import Credential from .flow import Flow from .user import User -from .api_key import ApiKey -__all__ = ["Flow", "User", "ApiKey"] +__all__ = ["Flow", "User", "ApiKey", "Credential"] diff --git a/src/backend/langflow/services/database/models/api_key/__init__.py b/src/backend/langflow/services/database/models/api_key/__init__.py index fbb8265b9..001b0327e 100644 --- a/src/backend/langflow/services/database/models/api_key/__init__.py +++ b/src/backend/langflow/services/database/models/api_key/__init__.py @@ -1,3 +1,3 @@ -from .api_key import ApiKey, ApiKeyCreate, UnmaskedApiKeyRead, ApiKeyRead +from .model import ApiKey, ApiKeyCreate, UnmaskedApiKeyRead, ApiKeyRead __all__ = ["ApiKey", "ApiKeyCreate", "UnmaskedApiKeyRead", "ApiKeyRead"] diff --git a/src/backend/langflow/services/database/models/api_key/crud.py b/src/backend/langflow/services/database/models/api_key/crud.py index 0e0ae6137..e5c7d9ddd 100644 --- a/src/backend/langflow/services/database/models/api_key/crud.py +++ b/src/backend/langflow/services/database/models/api_key/crud.py @@ -1,26 +1,22 @@ import datetime import secrets import threading -from uuid import UUID from typing import List, Optional +from uuid import UUID + from sqlmodel import Session, select -from langflow.services.database.models.api_key import ( - ApiKey, - ApiKeyCreate, - UnmaskedApiKeyRead, - ApiKeyRead, -) +from sqlmodel.sql.expression import SelectOfScalar + +from langflow.services.database.models.api_key import ApiKey, ApiKeyCreate, ApiKeyRead, UnmaskedApiKeyRead def get_api_keys(session: Session, user_id: UUID) -> List[ApiKeyRead]: - query = select(ApiKey).where(ApiKey.user_id == user_id) + query: SelectOfScalar = select(ApiKey).where(ApiKey.user_id == user_id) api_keys = session.exec(query).all() - return [ApiKeyRead.from_orm(api_key) for api_key in api_keys] + return [ApiKeyRead.model_validate(api_key) for api_key in api_keys] -def create_api_key( - session: Session, api_key_create: ApiKeyCreate, user_id: UUID -) -> UnmaskedApiKeyRead: +def create_api_key(session: Session, api_key_create: ApiKeyCreate, user_id: UUID) -> UnmaskedApiKeyRead: # Generate a random API key with 32 bytes of randomness generated_api_key = f"sk-{secrets.token_urlsafe(32)}" @@ -48,7 +44,7 @@ def delete_api_key(session: Session, api_key_id: UUID) -> None: def check_key(session: Session, api_key: str) -> Optional[ApiKey]: """Check if the API key is valid.""" - query = select(ApiKey).where(ApiKey.api_key == api_key) + query: SelectOfScalar = select(ApiKey).where(ApiKey.api_key == api_key) api_key_object: Optional[ApiKey] = session.exec(query).first() if api_key_object is not None: threading.Thread( diff --git a/src/backend/langflow/services/database/models/api_key/api_key.py b/src/backend/langflow/services/database/models/api_key/model.py similarity index 83% rename from src/backend/langflow/services/database/models/api_key/api_key.py rename to src/backend/langflow/services/database/models/api_key/model.py index 684027ee2..226794cbe 100644 --- a/src/backend/langflow/services/database/models/api_key/api_key.py +++ b/src/backend/langflow/services/database/models/api_key/model.py @@ -1,16 +1,16 @@ -from pydantic import validator -from sqlmodel import Field, Relationship -from uuid import UUID, uuid4 -from typing import Optional, TYPE_CHECKING from datetime import datetime -from langflow.services.database.models.base import SQLModelSerializable +from typing import TYPE_CHECKING, Optional +from uuid import UUID, uuid4 + +from pydantic import validator +from sqlmodel import Field, Relationship, SQLModel if TYPE_CHECKING: from langflow.services.database.models.user import User -class ApiKeyBase(SQLModelSerializable): - name: Optional[str] = Field(index=True) +class ApiKeyBase(SQLModel): + name: Optional[str] = Field(index=True, nullable=True, default=None) created_at: datetime = Field(default_factory=datetime.utcnow) last_used_at: Optional[datetime] = Field(default=None, nullable=True) total_uses: int = Field(default=0) diff --git a/src/backend/langflow/services/database/models/base.py b/src/backend/langflow/services/database/models/base.py index 9dff68c19..53ee2c37e 100644 --- a/src/backend/langflow/services/database/models/base.py +++ b/src/backend/langflow/services/database/models/base.py @@ -1,4 +1,3 @@ -from sqlmodel import SQLModel import orjson @@ -16,9 +15,3 @@ def orjson_dumps(v, *, default=None, sort_keys=False, indent_2=True): if default is None: return orjson.dumps(v, option=option).decode() return orjson.dumps(v, default=default, option=option).decode() - - -class SQLModelSerializable(SQLModel): - # TODO[pydantic]: The following keys were removed: `json_loads`, `json_dumps`. - # Check https://docs.pydantic.dev/dev-v2/migration/#changes-to-config for more information. - pass diff --git a/src/backend/langflow/services/database/models/component/__init__.py b/src/backend/langflow/services/database/models/component/__init__.py index c787c3e04..c5ad7d47f 100644 --- a/src/backend/langflow/services/database/models/component/__init__.py +++ b/src/backend/langflow/services/database/models/component/__init__.py @@ -1,3 +1,3 @@ -from .component import Component, ComponentModel +from .model import Component, ComponentModel __all__ = ["Component", "ComponentModel"] diff --git a/src/backend/langflow/services/database/models/component/component.py b/src/backend/langflow/services/database/models/component/model.py similarity index 85% rename from src/backend/langflow/services/database/models/component/component.py rename to src/backend/langflow/services/database/models/component/model.py index 5c4e6c13a..0a5afc440 100644 --- a/src/backend/langflow/services/database/models/component/component.py +++ b/src/backend/langflow/services/database/models/component/model.py @@ -1,11 +1,11 @@ -from langflow.services.database.models.base import SQLModelSerializable, SQLModel -from sqlmodel import Field -from typing import Optional -from datetime import datetime import uuid +from datetime import datetime +from typing import Optional + +from sqlmodel import Field, SQLModel -class Component(SQLModelSerializable, table=True): +class Component(SQLModel, table=True): id: uuid.UUID = Field(default_factory=uuid.uuid4, primary_key=True) frontend_node_id: uuid.UUID = Field(index=True) name: str = Field(index=True) diff --git a/src/backend/langflow/services/database/models/credential/__init__.py b/src/backend/langflow/services/database/models/credential/__init__.py new file mode 100644 index 000000000..2f8b6cd01 --- /dev/null +++ b/src/backend/langflow/services/database/models/credential/__init__.py @@ -0,0 +1,3 @@ +from .model import Credential, CredentialCreate, CredentialRead, CredentialUpdate + +__all__ = ["Credential", "CredentialCreate", "CredentialRead", "CredentialUpdate"] diff --git a/src/backend/langflow/services/database/models/credential/model.py b/src/backend/langflow/services/database/models/credential/model.py new file mode 100644 index 000000000..95bd4b829 --- /dev/null +++ b/src/backend/langflow/services/database/models/credential/model.py @@ -0,0 +1,43 @@ +from datetime import datetime +from typing import TYPE_CHECKING, Optional +from uuid import UUID, uuid4 + +from sqlmodel import Field, Relationship, SQLModel + +from langflow.services.database.models.credential.schema import CredentialType + +if TYPE_CHECKING: + from langflow.services.database.models.user import User + + +class CredentialBase(SQLModel): + name: Optional[str] = Field(None, description="Name of the credential") + value: Optional[str] = Field(None, description="Encrypted value of the credential") + provider: Optional[str] = Field(None, description="Provider of the credential (e.g OpenAI)") + + +class Credential(CredentialBase, table=True): + id: Optional[UUID] = Field(default_factory=uuid4, primary_key=True, description="Unique ID for the credential") + # name is unique per user + created_at: datetime = Field(default_factory=datetime.utcnow, description="Creation time of the credential") + updated_at: Optional[datetime] = Field(None, description="Last update time of the credential") + # foreign key to user table + user_id: UUID = Field(description="User ID associated with this credential", foreign_key="user.id") + user: "User" = Relationship(back_populates="credentials") + + +class CredentialCreate(CredentialBase): + # AcceptedProviders is a custom Enum + provider: CredentialType = Field(description="Provider of the credential (e.g OpenAI)") + + +class CredentialRead(SQLModel): + id: UUID + name: Optional[str] = Field(None, description="Name of the credential") + provider: Optional[str] = Field(None, description="Provider of the credential (e.g OpenAI)") + + +class CredentialUpdate(SQLModel): + id: UUID # Include the ID for updating + name: Optional[str] = Field(None, description="Name of the credential") + value: Optional[str] = Field(None, description="Encrypted value of the credential") diff --git a/src/backend/langflow/services/database/models/credential/schema.py b/src/backend/langflow/services/database/models/credential/schema.py new file mode 100644 index 000000000..985915340 --- /dev/null +++ b/src/backend/langflow/services/database/models/credential/schema.py @@ -0,0 +1,8 @@ +from enum import Enum + + +class CredentialType(str, Enum): + """CredentialType is an Enum of the accepted providers""" + + OPENAI_API_KEY = "OPENAI_API_KEY" + ANTHROPIC_API_KEY = "ANTHROPIC_API_KEY" diff --git a/src/backend/langflow/services/database/models/flow/__init__.py b/src/backend/langflow/services/database/models/flow/__init__.py index 7c7cc0172..3c861963c 100644 --- a/src/backend/langflow/services/database/models/flow/__init__.py +++ b/src/backend/langflow/services/database/models/flow/__init__.py @@ -1,3 +1,3 @@ -from .flow import Flow, FlowCreate, FlowRead, FlowUpdate +from .model import Flow, FlowCreate, FlowRead, FlowUpdate __all__ = ["Flow", "FlowCreate", "FlowRead", "FlowUpdate"] diff --git a/src/backend/langflow/services/database/models/flow/flow.py b/src/backend/langflow/services/database/models/flow/model.py similarity index 55% rename from src/backend/langflow/services/database/models/flow/flow.py rename to src/backend/langflow/services/database/models/flow/model.py index b544766d8..d942fa93c 100644 --- a/src/backend/langflow/services/database/models/flow/flow.py +++ b/src/backend/langflow/services/database/models/flow/model.py @@ -1,20 +1,23 @@ # Path: src/backend/langflow/database/models/flow.py -from langflow.services.database.models.base import SQLModelSerializable -from pydantic import field_validator - -from sqlmodel import Field, JSON, Column, Relationship +from datetime import datetime +from typing import TYPE_CHECKING, Dict, Optional from uuid import UUID, uuid4 -from typing import Dict, Optional, TYPE_CHECKING + +from pydantic import field_serializer, field_validator +from sqlmodel import JSON, Column, Field, Relationship, SQLModel if TYPE_CHECKING: from langflow.services.database.models.user import User -class FlowBase(SQLModelSerializable): +class FlowBase(SQLModel): name: str = Field(index=True) description: Optional[str] = Field(index=True, nullable=True, default=None) data: Optional[Dict] = Field(default=None, nullable=True) + is_component: Optional[bool] = Field(default=False, nullable=True) + updated_at: Optional[datetime] = Field(default_factory=datetime.utcnow, nullable=True) + folder: Optional[str] = Field(default=None, nullable=True) @field_validator("data") def validate_json(v): @@ -31,11 +34,27 @@ class FlowBase(SQLModelSerializable): return v + # updated_at can be serialized to JSON + @field_serializer("updated_at") + def serialize_dt(self, dt: datetime, _info): + if dt is None: + return None + return dt.isoformat() + + @field_validator("updated_at", mode="before") + def validate_dt(cls, v): + if v is None: + return v + elif isinstance(v, datetime): + return v + + return datetime.fromisoformat(v) + class Flow(FlowBase, table=True): id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True) data: Optional[Dict] = Field(default=None, sa_column=Column(JSON)) - user_id: UUID = Field(index=True, foreign_key="user.id") + user_id: UUID = Field(index=True, foreign_key="user.id", nullable=True) user: "User" = Relationship(back_populates="flows") @@ -48,7 +67,7 @@ class FlowRead(FlowBase): user_id: UUID = Field() -class FlowUpdate(SQLModelSerializable): +class FlowUpdate(SQLModel): name: Optional[str] = None description: Optional[str] = None data: Optional[Dict] = None diff --git a/src/backend/langflow/services/database/models/user/__init__.py b/src/backend/langflow/services/database/models/user/__init__.py index da9170eb7..eecf6d0b1 100644 --- a/src/backend/langflow/services/database/models/user/__init__.py +++ b/src/backend/langflow/services/database/models/user/__init__.py @@ -1,4 +1,4 @@ -from .user import User, UserCreate, UserRead, UserUpdate +from .model import User, UserCreate, UserRead, UserUpdate __all__ = [ "User", diff --git a/src/backend/langflow/services/database/models/user/crud.py b/src/backend/langflow/services/database/models/user/crud.py index 6f0e019f6..e8f58735c 100644 --- a/src/backend/langflow/services/database/models/user/crud.py +++ b/src/backend/langflow/services/database/models/user/crud.py @@ -1,27 +1,24 @@ from datetime import datetime, timezone -from typing import Union +from typing import Optional, Union from uuid import UUID -from fastapi import Depends, HTTPException, status -from langflow.services.database.models.user.user import User, UserUpdate -from langflow.services.getters import get_session -from sqlalchemy.exc import IntegrityError -from sqlmodel import Session -from typing import Optional +from fastapi import Depends, HTTPException, status +from langflow.services.database.models.user.model import User, UserUpdate +from langflow.services.deps import get_session +from sqlalchemy.exc import IntegrityError from sqlalchemy.orm.attributes import flag_modified +from sqlmodel import Session, select def get_user_by_username(db: Session, username: str) -> Union[User, None]: - return db.query(User).filter(User.username == username).first() + return db.exec(select(User).where(User.username == username)).first() def get_user_by_id(db: Session, id: UUID) -> Union[User, None]: - return db.query(User).filter(User.id == id).first() + return db.exec(select(User).where(User.id == id)).first() -def update_user( - user_db: Optional[User], user: UserUpdate, db: Session = Depends(get_session) -) -> User: +def update_user(user_db: Optional[User], user: UserUpdate, db: Session = Depends(get_session)) -> User: if not user_db: raise HTTPException(status_code=404, detail="User not found") @@ -29,7 +26,7 @@ def update_user( # if user_db_by_username and user_db_by_username.id != user_id: # raise HTTPException(status_code=409, detail="Username already exists") - user_data = user.dict(exclude_unset=True) + user_data = user.model_dump(exclude_unset=True) changed = False for attr, value in user_data.items(): if hasattr(user_db, attr) and value is not None: @@ -37,9 +34,7 @@ def update_user( changed = True if not changed: - raise HTTPException( - status_code=status.HTTP_304_NOT_MODIFIED, detail="Nothing to update" - ) + raise HTTPException(status_code=status.HTTP_304_NOT_MODIFIED, detail="Nothing to update") user_db.updated_at = datetime.now(timezone.utc) flag_modified(user_db, "updated_at") diff --git a/src/backend/langflow/services/database/models/user/user.py b/src/backend/langflow/services/database/models/user/model.py similarity index 75% rename from src/backend/langflow/services/database/models/user/user.py rename to src/backend/langflow/services/database/models/user/model.py index f3248736e..dccd3c305 100644 --- a/src/backend/langflow/services/database/models/user/user.py +++ b/src/backend/langflow/services/database/models/user/model.py @@ -1,17 +1,16 @@ -from langflow.services.database.models.base import SQLModel, SQLModelSerializable -from sqlmodel import Field, Relationship - - from datetime import datetime -from typing import Optional, TYPE_CHECKING +from typing import TYPE_CHECKING, Optional from uuid import UUID, uuid4 +from sqlmodel import Field, Relationship, SQLModel + if TYPE_CHECKING: from langflow.services.database.models.api_key import ApiKey + from langflow.services.database.models.credential import Credential from langflow.services.database.models.flow import Flow -class User(SQLModelSerializable, table=True): +class User(SQLModel, table=True): id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True) username: str = Field(index=True, unique=True) password: str = Field() @@ -20,12 +19,17 @@ class User(SQLModelSerializable, table=True): is_superuser: bool = Field(default=False) create_at: datetime = Field(default_factory=datetime.utcnow) updated_at: datetime = Field(default_factory=datetime.utcnow) - last_login_at: Optional[datetime] = Field(nullable=True) + last_login_at: Optional[datetime] = Field(default=None, nullable=True) api_keys: list["ApiKey"] = Relationship( back_populates="user", sa_relationship_kwargs={"cascade": "delete"}, ) + store_api_key: Optional[str] = Field(default=None, nullable=True) flows: list["Flow"] = Relationship(back_populates="user") + credentials: list["Credential"] = Relationship( + back_populates="user", + sa_relationship_kwargs={"cascade": "delete"}, + ) class UserCreate(SQLModel): diff --git a/src/backend/langflow/services/database/manager.py b/src/backend/langflow/services/database/service.py similarity index 73% rename from src/backend/langflow/services/database/manager.py rename to src/backend/langflow/services/database/service.py index ce5de7095..3610f0dea 100644 --- a/src/backend/langflow/services/database/manager.py +++ b/src/backend/langflow/services/database/service.py @@ -1,17 +1,20 @@ +import time from pathlib import Path from typing import TYPE_CHECKING + +import sqlalchemy as sa +from alembic import command, util +from alembic.config import Config from langflow.services.base import Service +from langflow.services.database import models # noqa from langflow.services.database.models.user.crud import get_user_by_username from langflow.services.database.utils import Result, TableResults -from langflow.services.getters import get_settings_service -from sqlalchemy import inspect -import sqlalchemy as sa -from sqlalchemy.exc import OperationalError -from sqlmodel import SQLModel, Session, create_engine +from langflow.services.deps import get_settings_service +from langflow.services.utils import teardown_superuser from loguru import logger -from alembic.config import Config -from alembic import command -from langflow.services.database import models # noqa +from sqlalchemy import inspect +from sqlalchemy.exc import OperationalError +from sqlmodel import Session, SQLModel, create_engine, select, text if TYPE_CHECKING: from sqlalchemy.engine import Engine @@ -32,10 +35,7 @@ class DatabaseService(Service): def _create_engine(self) -> "Engine": """Create the engine for the database.""" settings_service = get_settings_service() - if ( - settings_service.settings.DATABASE_URL - and settings_service.settings.DATABASE_URL.startswith("sqlite") - ): + if settings_service.settings.DATABASE_URL and settings_service.settings.DATABASE_URL.startswith("sqlite"): connect_args = {"check_same_thread": False} else: connect_args = {} @@ -47,9 +47,7 @@ class DatabaseService(Service): def __exit__(self, exc_type, exc_value, traceback): if exc_type is not None: # If an exception has been raised - logger.error( - f"Session rollback because of exception: {exc_type.__name__} {exc_value}" - ) + logger.error(f"Session rollback because of exception: {exc_type.__name__} {exc_value}") self._session.rollback() else: self._session.commit() @@ -66,15 +64,14 @@ class DatabaseService(Service): settings_service = get_settings_service() if settings_service.auth_settings.AUTO_LOGIN: with Session(self.engine) as session: - flows = ( - session.query(models.Flow) - .filter(models.Flow.user_id == None) # noqa - .all() - ) + flows = session.exec(select(models.Flow).where(models.Flow.user_id is None)).all() if flows: logger.debug("Migrating flows to default superuser") username = settings_service.auth_settings.SUPERUSER user = get_user_by_username(session, username) + if not user: + logger.error("Default superuser not found") + raise RuntimeError("Default superuser not found") for flow in flows: flow.user_id = user.id session.commit() @@ -97,9 +94,7 @@ class DatabaseService(Service): expected_columns = list(model.model_fields.keys()) try: - available_columns = [ - col["name"] for col in inspector.get_columns(table) - ] + available_columns = [col["name"] for col in inspector.get_columns(table)] except sa.exc.NoSuchTableError: logger.error(f"Missing table: {table}") return False @@ -121,9 +116,10 @@ class DatabaseService(Service): alembic_cfg.set_main_option("script_location", str(self.script_location)) alembic_cfg.set_main_option("sqlalchemy.url", self.database_url) command.stamp(alembic_cfg, "head") + # command.upgrade(alembic_cfg, "head") logger.info("Alembic initialized") - def run_migrations(self): + def run_migrations(self, fix=False): # First we need to check if alembic has been initialized # If not, we need to initialize it # if not self.script_location.exists(): # this is not the correct way to check if alembic has been initialized @@ -133,7 +129,7 @@ class DatabaseService(Service): # If the table does not exist it throws an error # so we need to catch it try: - session.execute("SELECT * FROM alembic_version") + session.exec(text("SELECT * FROM alembic_version")) except Exception: logger.info("Alembic not initialized") try: @@ -148,27 +144,53 @@ class DatabaseService(Service): alembic_cfg = Config() alembic_cfg.set_main_option("script_location", str(self.script_location)) alembic_cfg.set_main_option("sqlalchemy.url", self.database_url) - command.upgrade(alembic_cfg, "head") + try: + command.check(alembic_cfg) + except Exception as exc: + if isinstance(exc, util.exc.CommandError) or isinstance(exc, util.exc.AutogenerateDiffsDetected): + command.upgrade(alembic_cfg, "head") + time.sleep(3) + + try: + command.check(alembic_cfg) + except util.exc.AutogenerateDiffsDetected: + logger.exception("AutogenerateDiffsDetected: {exc}") + if not fix: + raise RuntimeError("Something went wrong running migrations. Please, run `langflow migration --fix`") + + if fix: + self.try_downgrade_upgrade_until_success(alembic_cfg) + + def try_downgrade_upgrade_until_success(self, alembic_cfg, retries=5): + # Try -1 then head, if it fails, try -2 then head, etc. + # until we reach the number of retries + for i in range(1, retries + 1): + try: + command.check(alembic_cfg) + break + except util.exc.AutogenerateDiffsDetected as exc: + # downgrade to base and upgrade again + logger.warning(f"AutogenerateDiffsDetected: {exc}") + command.downgrade(alembic_cfg, f"-{i}") + # wait for the database to be ready + time.sleep(3) + command.upgrade(alembic_cfg, "head") def run_migrations_test(self): # This method is used for testing purposes only # We will check that all models are in the database # and that the database is up to date with all columns sql_models = [models.Flow, models.User, models.ApiKey] - return [ - TableResults(sql_model.__tablename__, self.check_table(sql_model)) - for sql_model in sql_models - ] + return [TableResults(sql_model.__tablename__, self.check_table(sql_model)) for sql_model in sql_models] def check_table(self, model): results = [] inspector = inspect(self.engine) table_name = model.__tablename__ expected_columns = list(model.__fields__.keys()) + available_columns = [] try: - available_columns = [ - col["name"] for col in inspector.get_columns(table_name) - ] + available_columns = [col["name"] for col in inspector.get_columns(table_name)] results.append(Result(name=table_name, type="table", success=True)) except sa.exc.NoSuchTableError: logger.error(f"Missing table: {table_name}") @@ -199,9 +221,7 @@ class DatabaseService(Service): try: table.create(self.engine, checkfirst=True) except OperationalError as oe: - logger.warning( - f"Table {table} already exists, skipping. Exception: {oe}" - ) + logger.warning(f"Table {table} already exists, skipping. Exception: {oe}") except Exception as exc: logger.error(f"Error creating table {table}: {exc}") raise RuntimeError(f"Error creating table {table}") from exc @@ -213,9 +233,7 @@ class DatabaseService(Service): if table not in table_names: logger.error("Something went wrong creating the database and tables.") logger.error("Please check your database settings.") - raise RuntimeError( - "Something went wrong creating the database and tables." - ) + raise RuntimeError("Something went wrong creating the database and tables.") logger.debug("Database and tables created successfully") @@ -225,14 +243,8 @@ class DatabaseService(Service): settings_service = get_settings_service() # remove the default superuser if auto_login is enabled # using the SUPERUSER to get the user - if settings_service.auth_settings.AUTO_LOGIN: - logger.debug("Removing default superuser") - username = settings_service.auth_settings.SUPERUSER - with Session(self.engine) as session: - user = get_user_by_username(session, username) - session.delete(user) - session.commit() - logger.debug("Default superuser removed") + with Session(self.engine) as session: + teardown_superuser(settings_service, session) except Exception as exc: logger.error(f"Error tearing down database: {exc}") diff --git a/src/backend/langflow/services/database/utils.py b/src/backend/langflow/services/database/utils.py index b457b70e2..cf2c92cb3 100644 --- a/src/backend/langflow/services/database/utils.py +++ b/src/backend/langflow/services/database/utils.py @@ -1,21 +1,20 @@ +from contextlib import contextmanager from dataclasses import dataclass from typing import TYPE_CHECKING -from loguru import logger -from contextlib import contextmanager + from alembic.util.exc import CommandError -from sqlmodel import Session +from loguru import logger +from sqlmodel import Session, text if TYPE_CHECKING: - from langflow.services.database.manager import DatabaseService + from langflow.services.database.service import DatabaseService -def initialize_database(): +def initialize_database(fix_migration: bool = False): logger.debug("Initializing database") - from langflow.services import service_manager, ServiceType + from langflow.services.deps import get_db_service - database_service: "DatabaseService" = service_manager.get( - ServiceType.DATABASE_SERVICE - ) + database_service: "DatabaseService" = get_db_service() try: database_service.create_db_and_tables() except Exception as exc: @@ -30,7 +29,7 @@ def initialize_database(): logger.error(f"Error checking schema health: {exc}") raise RuntimeError("Error checking schema health") from exc try: - database_service.run_migrations() + database_service.run_migrations(fix=fix_migration) except CommandError as exc: # if "overlaps with other requested revisions" or "Can't locate revision identified by" # are not in the exception, we can't handle it @@ -41,18 +40,16 @@ def initialize_database(): # This means there's wrong revision in the DB # We need to delete the alembic_version table # and run the migrations again - logger.warning( - "Wrong revision in DB, deleting alembic_version table and running migrations again" - ) + logger.warning("Wrong revision in DB, deleting alembic_version table and running migrations again") with session_getter(database_service) as session: - session.execute("DROP TABLE alembic_version") - database_service.run_migrations() + session.exec(text("DROP TABLE alembic_version")) + database_service.run_migrations(fix=fix_migration) except Exception as exc: # if the exception involves tables already existing # we can ignore it if "already exists" not in str(exc): - logger.error(f"Error running migrations: {exc}") - raise RuntimeError("Error running migrations") from exc + logger.error(exc) + raise exc logger.debug("Database initialized") diff --git a/src/backend/langflow/services/deps.py b/src/backend/langflow/services/deps.py new file mode 100644 index 000000000..5c961446a --- /dev/null +++ b/src/backend/langflow/services/deps.py @@ -0,0 +1,63 @@ +from typing import TYPE_CHECKING, Generator + +from langflow.services import ServiceType, service_manager + +if TYPE_CHECKING: + from langflow.services.cache.service import BaseCacheService + from langflow.services.chat.service import ChatService + from langflow.services.credentials.service import CredentialService + from langflow.services.database.service import DatabaseService + from langflow.services.plugins.service import PluginService + from langflow.services.session.service import SessionService + from langflow.services.settings.service import SettingsService + from langflow.services.store.service import StoreService + from langflow.services.task.service import TaskService + from sqlmodel import Session + + +def get_credential_service() -> "CredentialService": + return service_manager.get(ServiceType.CREDENTIAL_SERVICE) # type: ignore + + +def get_plugins_service() -> "PluginService": + return service_manager.get(ServiceType.PLUGIN_SERVICE) # type: ignore + + +def get_settings_service() -> "SettingsService": + try: + return service_manager.get(ServiceType.SETTINGS_SERVICE) # type: ignore + except ValueError: + # initialize settings service + from langflow.services.manager import initialize_settings_service + + initialize_settings_service() + return service_manager.get(ServiceType.SETTINGS_SERVICE) # type: ignore + + +def get_db_service() -> "DatabaseService": + return service_manager.get(ServiceType.DATABASE_SERVICE) # type: ignore + + +def get_session() -> Generator["Session", None, None]: + db_service = get_db_service() + yield from db_service.get_session() + + +def get_cache_service() -> "BaseCacheService": + return service_manager.get(ServiceType.CACHE_SERVICE) # type: ignore + + +def get_session_service() -> "SessionService": + return service_manager.get(ServiceType.SESSION_SERVICE) # type: ignore + + +def get_task_service() -> "TaskService": + return service_manager.get(ServiceType.TASK_SERVICE) # type: ignore + + +def get_chat_service() -> "ChatService": + return service_manager.get(ServiceType.CHAT_SERVICE) # type: ignore + + +def get_store_service() -> "StoreService": + return service_manager.get(ServiceType.STORE_SERVICE) # type: ignore diff --git a/src/backend/langflow/services/factory.py b/src/backend/langflow/services/factory.py index c37f4e9c2..fd99ae20e 100644 --- a/src/backend/langflow/services/factory.py +++ b/src/backend/langflow/services/factory.py @@ -1,6 +1,13 @@ + +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from langflow.services.base import Service + class ServiceFactory: def __init__(self, service_class): self.service_class = service_class - def create(self, *args, **kwargs): + def create(self, *args, **kwargs) -> "Service": + raise NotImplementedError diff --git a/src/backend/langflow/services/getters.py b/src/backend/langflow/services/getters.py deleted file mode 100644 index e88b998b5..000000000 --- a/src/backend/langflow/services/getters.py +++ /dev/null @@ -1,48 +0,0 @@ -from langflow.services import ServiceType, service_manager -from typing import TYPE_CHECKING, Generator - - -if TYPE_CHECKING: - from langflow.services.database.manager import DatabaseService - from langflow.services.settings.manager import SettingsService - from langflow.services.cache.manager import BaseCacheService - from langflow.services.session.manager import SessionService - from langflow.services.task.manager import TaskService - from langflow.services.chat.manager import ChatService - from sqlmodel import Session - - -def get_settings_service() -> "SettingsService": - try: - return service_manager.get(ServiceType.SETTINGS_SERVICE) - except ValueError: - # initialize settings service - from langflow.services.manager import initialize_settings_service - - initialize_settings_service() - return service_manager.get(ServiceType.SETTINGS_SERVICE) - - -def get_db_service() -> "DatabaseService": - return service_manager.get(ServiceType.DATABASE_SERVICE) - - -def get_session() -> Generator["Session", None, None]: - db_service = service_manager.get(ServiceType.DATABASE_SERVICE) - yield from db_service.get_session() - - -def get_cache_service() -> "BaseCacheService": - return service_manager.get(ServiceType.CACHE_SERVICE) - - -def get_session_service() -> "SessionService": - return service_manager.get(ServiceType.SESSION_SERVICE) - - -def get_task_service() -> "TaskService": - return service_manager.get(ServiceType.TASK_SERVICE) - - -def get_chat_service() -> "ChatService": - return service_manager.get(ServiceType.CHAT_SERVICE) diff --git a/src/backend/langflow/services/manager.py b/src/backend/langflow/services/manager.py index 10fd6b699..51da1fc42 100644 --- a/src/backend/langflow/services/manager.py +++ b/src/backend/langflow/services/manager.py @@ -1,10 +1,11 @@ -from langflow.services.schema import ServiceType from typing import TYPE_CHECKING, Dict, List, Optional + +from langflow.services.schema import ServiceType from loguru import logger if TYPE_CHECKING: - from langflow.services.factory import ServiceFactory from langflow.services.base import Service + from langflow.services.factory import ServiceFactory class ServiceManager: @@ -31,7 +32,7 @@ class ServiceManager: self.factories[service_name] = service_factory self.dependencies[service_name] = dependencies - def get(self, service_name: ServiceType): + def get(self, service_name: ServiceType) -> "Service": """ Get (or create) a service by its name. """ @@ -53,15 +54,10 @@ class ServiceManager: self._create_service(dependency) # Collect the dependent services - dependent_services = { - dep.value: self.services[dep] - for dep in self.dependencies.get(service_name, []) - } + dependent_services = {dep.value: self.services[dep] for dep in self.dependencies.get(service_name, [])} # Create the actual service - self.services[service_name] = self.factories[service_name].create( - **dependent_services - ) + self.services[service_name] = self.factories[service_name].create(**dependent_services) self.services[service_name].set_ready() def _validate_service_creation(self, service_name: ServiceType): @@ -69,9 +65,7 @@ class ServiceManager: Validate whether the service can be created. """ if service_name not in self.factories: - raise ValueError( - f"No factory registered for the service class '{service_name.name}'" - ) + raise ValueError(f"No factory registered for the service class '{service_name.name}'") def update(self, service_name: ServiceType): """ @@ -139,14 +133,13 @@ def initialize_session_service(): """ Initialize the session manager. """ - from langflow.services.session import factory as session_service_factory # type: ignore from langflow.services.cache import factory as cache_factory + from langflow.services.session import \ + factory as session_service_factory # type: ignore initialize_settings_service() - service_manager.register_factory( - cache_factory.CacheServiceFactory(), dependencies=[ServiceType.SETTINGS_SERVICE] - ) + service_manager.register_factory(cache_factory.CacheServiceFactory(), dependencies=[ServiceType.SETTINGS_SERVICE]) service_manager.register_factory( session_service_factory.SessionServiceFactory(), diff --git a/src/backend/langflow/services/plugins/base.py b/src/backend/langflow/services/plugins/base.py new file mode 100644 index 000000000..d91705b1b --- /dev/null +++ b/src/backend/langflow/services/plugins/base.py @@ -0,0 +1,18 @@ +from typing import Any + + +class BasePlugin: + def initialize(self): + pass + + def teardown(self): + pass + + def get(self) -> Any: + pass + + + +class CallbackPlugin(BasePlugin): + def get_callback(self, _id=None): + pass \ No newline at end of file diff --git a/src/backend/langflow/services/plugins/factory.py b/src/backend/langflow/services/plugins/factory.py new file mode 100644 index 000000000..221d43500 --- /dev/null +++ b/src/backend/langflow/services/plugins/factory.py @@ -0,0 +1,16 @@ +from typing import TYPE_CHECKING + +from langflow.services.factory import ServiceFactory +from langflow.services.plugins.service import PluginService + +if TYPE_CHECKING: + from langflow.services.settings.service import SettingsService + + +class PluginServiceFactory(ServiceFactory): + def __init__(self): + super().__init__(PluginService) + + def create(self, settings_service: "SettingsService"): + service = PluginService(settings_service) + return service diff --git a/src/backend/langflow/services/plugins/langfuse.py b/src/backend/langflow/services/plugins/langfuse_plugin.py similarity index 53% rename from src/backend/langflow/services/plugins/langfuse.py rename to src/backend/langflow/services/plugins/langfuse_plugin.py index 7a1f60a48..1009d70dd 100644 --- a/src/backend/langflow/services/plugins/langfuse.py +++ b/src/backend/langflow/services/plugins/langfuse_plugin.py @@ -1,8 +1,8 @@ -from langflow.services.getters import get_settings_service -from langflow.utils.logger import logger +from typing import Optional -### Temporary implementation -# This will be replaced by a plugin system once merged into 0.5.0 +from langflow.services.deps import get_settings_service +from langflow.services.plugins.base import CallbackPlugin +from loguru import logger class LangfuseInstance: @@ -23,10 +23,7 @@ class LangfuseInstance: settings_manager = get_settings_service() - if ( - settings_manager.settings.LANGFUSE_PUBLIC_KEY - and settings_manager.settings.LANGFUSE_SECRET_KEY - ): + if settings_manager.settings.LANGFUSE_PUBLIC_KEY and settings_manager.settings.LANGFUSE_SECRET_KEY: logger.debug("Langfuse credentials found") cls._instance = Langfuse( public_key=settings_manager.settings.LANGFUSE_PUBLIC_KEY, @@ -52,3 +49,34 @@ class LangfuseInstance: if cls._instance is not None: cls._instance.flush() cls._instance = None + + +class LangfusePlugin(CallbackPlugin): + def initialize(self): + LangfuseInstance.create() + + def teardown(self): + LangfuseInstance.teardown() + + def get(self): + return LangfuseInstance.get() + + def get_callback(self, _id: Optional[str] = None): + if _id is None: + _id = "default" + from langfuse.callback import CreateTrace # type: ignore + + logger.debug("Initializing langfuse callback") + + + try: + langfuse_instance = self.get() + if langfuse_instance is not None and hasattr(langfuse_instance, "trace"): + trace = langfuse_instance.trace(CreateTrace(name="langflow-" + _id, id=_id)) + if trace: + return trace.getNewHandler() + + except Exception as exc: + logger.error(f"Error initializing langfuse callback: {exc}") + + return None diff --git a/src/backend/langflow/services/plugins/service.py b/src/backend/langflow/services/plugins/service.py new file mode 100644 index 000000000..8c9ea76d0 --- /dev/null +++ b/src/backend/langflow/services/plugins/service.py @@ -0,0 +1,64 @@ +import importlib +import inspect +import os +from typing import TYPE_CHECKING, Union + +from langflow.services.base import Service +from langflow.services.plugins.base import BasePlugin, CallbackPlugin +from loguru import logger + +if TYPE_CHECKING: + from langflow.services.settings.service import SettingsService + + +class PluginService(Service): + name = "plugin_service" + + def __init__(self, settings_service: "SettingsService"): + self.plugins: dict[str, BasePlugin] = {} + # plugin_dir = settings_service.settings.PLUGIN_DIR + self.plugin_dir = os.path.dirname(__file__) + self.plugins_base_module = "langflow.services.plugins" + self.load_plugins() + + def load_plugins(self): + base_files = ["base.py", "service.py", "factory.py", "__init__.py"] + for module in os.listdir(self.plugin_dir): + if module.endswith(".py") and module not in base_files: + plugin_name = module[:-3] + module_path = f"{self.plugins_base_module}.{plugin_name}" + try: + mod = importlib.import_module(module_path) + for attr_name in dir(mod): + attr = getattr(mod, attr_name) + if inspect.isclass(attr) and issubclass(attr, BasePlugin) and attr not in [CallbackPlugin, BasePlugin]: + self.register_plugin(plugin_name, attr()) + except Exception as exc: + logger.error(f"Error loading plugin {plugin_name}: {exc}") + + def register_plugin(self, plugin_name, plugin_instance): + self.plugins[plugin_name] = plugin_instance + plugin_instance.initialize() + + def get_plugin(self, plugin_name) -> Union[BasePlugin, None]: + return self.plugins.get(plugin_name) + + def get(self, plugin_name): + if plugin := self.get_plugin(plugin_name): + return plugin.get() + return None + + def teardown(self): + for plugin in self.plugins.values(): + plugin.teardown() + + def get_callbacks(self, _id=None): + callbacks = [] + for plugin in self.plugins.values(): + if isinstance(plugin, CallbackPlugin): + callback = plugin.get_callback(_id=_id) + if callback: + callbacks.append(callback) + return callbacks + + diff --git a/src/backend/langflow/services/schema.py b/src/backend/langflow/services/schema.py index 8b3b41fcb..8265c1108 100644 --- a/src/backend/langflow/services/schema.py +++ b/src/backend/langflow/services/schema.py @@ -14,3 +14,6 @@ class ServiceType(str, Enum): CHAT_SERVICE = "chat_service" SESSION_SERVICE = "session_service" TASK_SERVICE = "task_service" + PLUGIN_SERVICE = "plugin_service" + STORE_SERVICE = "store_service" + CREDENTIAL_SERVICE = "credential_service" diff --git a/src/backend/langflow/services/session/factory.py b/src/backend/langflow/services/session/factory.py index 9abe025a8..beb0bd6bd 100644 --- a/src/backend/langflow/services/session/factory.py +++ b/src/backend/langflow/services/session/factory.py @@ -1,9 +1,9 @@ from typing import TYPE_CHECKING -from langflow.services.session.manager import SessionService +from langflow.services.session.service import SessionService from langflow.services.factory import ServiceFactory if TYPE_CHECKING: - from langflow.services.cache.manager import BaseCacheService + from langflow.services.cache.service import BaseCacheService class SessionServiceFactory(ServiceFactory): diff --git a/src/backend/langflow/services/session/manager.py b/src/backend/langflow/services/session/service.py similarity index 86% rename from src/backend/langflow/services/session/manager.py rename to src/backend/langflow/services/session/service.py index 6bdebf6b3..ac0f1fa1f 100644 --- a/src/backend/langflow/services/session/manager.py +++ b/src/backend/langflow/services/session/service.py @@ -1,8 +1,8 @@ from typing import TYPE_CHECKING + from langflow.interface.run import build_sorted_vertices from langflow.services.base import Service -from langflow.services.cache.utils import compute_dict_hash -from langflow.services.session.utils import session_id_generator +from langflow.services.session.utils import compute_dict_hash, session_id_generator if TYPE_CHECKING: from langflow.services.cache.base import BaseCacheService @@ -14,7 +14,7 @@ class SessionService(Service): def __init__(self, cache_service): self.cache_service: "BaseCacheService" = cache_service - def load_session(self, key, data_graph): + async def load_session(self, key, data_graph): # Check if the data is cached if key in self.cache_service: return self.cache_service.get(key) @@ -23,7 +23,7 @@ class SessionService(Service): key = self.generate_key(session_id=None, data_graph=data_graph) # If not cached, build the graph and cache it - graph, artifacts = build_sorted_vertices(data_graph) + graph, artifacts = await build_sorted_vertices(data_graph) self.cache_service.set(key, (graph, artifacts)) diff --git a/src/backend/langflow/services/session/utils.py b/src/backend/langflow/services/session/utils.py index 374d85540..95939b828 100644 --- a/src/backend/langflow/services/session/utils.py +++ b/src/backend/langflow/services/session/utils.py @@ -1,8 +1,18 @@ +import hashlib import random import string +from langflow.services.cache.utils import filter_json +from langflow.services.database.models.base import orjson_dumps + def session_id_generator(size=6): - return "".join( - random.SystemRandom().choices(string.ascii_uppercase + string.digits, k=size) - ) + return "".join(random.SystemRandom().choices(string.ascii_uppercase + string.digits, k=size)) + + +def compute_dict_hash(graph_data): + graph_data = filter_json(graph_data) + + cleaned_graph_json = orjson_dumps(graph_data, sort_keys=True) + + return hashlib.sha256(cleaned_graph_json.encode("utf-8")).hexdigest() diff --git a/src/backend/langflow/services/settings/__init__.py b/src/backend/langflow/services/settings/__init__.py index 2191bf2cc..3c76ca0de 100644 --- a/src/backend/langflow/services/settings/__init__.py +++ b/src/backend/langflow/services/settings/__init__.py @@ -1,3 +1,3 @@ -from . import factory, manager +from . import factory, service -__all__ = ["factory", "manager"] +__all__ = ["factory", "service"] diff --git a/src/backend/langflow/services/settings/auth.py b/src/backend/langflow/services/settings/auth.py index 08553186e..92a696cc5 100644 --- a/src/backend/langflow/services/settings/auth.py +++ b/src/backend/langflow/services/settings/auth.py @@ -2,17 +2,13 @@ import secrets from pathlib import Path from typing import Optional +from langflow.services.settings.constants import DEFAULT_SUPERUSER, DEFAULT_SUPERUSER_PASSWORD +from langflow.services.settings.utils import read_secret_from_file, write_secret_to_file from loguru import logger from passlib.context import CryptContext from pydantic import Field, validator from pydantic_settings import BaseSettings -from langflow.services.settings.constants import ( - DEFAULT_SUPERUSER, - DEFAULT_SUPERUSER_PASSWORD, -) -from langflow.services.settings.utils import read_secret_from_file, write_secret_to_file - class AuthSettings(BaseSettings): # Login settings @@ -24,12 +20,10 @@ class AuthSettings(BaseSettings): ) ALGORITHM: str = "HS256" ACCESS_TOKEN_EXPIRE_MINUTES: int = 60 - REFRESH_TOKEN_EXPIRE_MINUTES: int = 60 * 12 + REFRESH_TOKEN_EXPIRE_MINUTES: int = 60 * 12 * 7 # API Key to execute /process endpoint - API_KEY_SECRET_KEY: Optional[ - str - ] = "b82818e0ad4ff76615c5721ee21004b07d84cd9b87ba4d9cb42374da134b841a" + API_KEY_SECRET_KEY: Optional[str] = "b82818e0ad4ff76615c5721ee21004b07d84cd9b87ba4d9cb42374da134b841a" API_KEY_ALGORITHM: str = "HS256" API_V1_STR: str = "/api/v1" diff --git a/src/backend/langflow/services/settings/base.py b/src/backend/langflow/services/settings/base.py index 053c45afd..c74d88a42 100644 --- a/src/backend/langflow/services/settings/base.py +++ b/src/backend/langflow/services/settings/base.py @@ -1,15 +1,15 @@ import contextlib import json -import orjson import os -from shutil import copy2 -from typing import Optional, List from pathlib import Path +from shutil import copy2 +from typing import List, Optional +import orjson import yaml +from loguru import logger from pydantic import field_validator, validator from pydantic_settings import BaseSettings, SettingsConfigDict -from loguru import logger # BASE_COMPONENTS_PATH = str(Path(__file__).parent / "components") BASE_COMPONENTS_PATH = str(Path(__file__).parent.parent.parent / "components") @@ -49,10 +49,19 @@ class Settings(BaseSettings): REDIS_DB: int = 0 REDIS_CACHE_EXPIRE: int = 3600 + # PLUGIN_DIR: Optional[str] = None + LANGFUSE_SECRET_KEY: Optional[str] = None LANGFUSE_PUBLIC_KEY: Optional[str] = None LANGFUSE_HOST: Optional[str] = None + STORE: Optional[bool] = True + STORE_URL: Optional[str] = "https://api.langflow.store" + DOWNLOAD_WEBHOOK_URL: Optional[ + str + ] = "https://api.langflow.store/flows/trigger/ec611a61-8460-4438-b187-a4f65e5559d4" + LIKE_WEBHOOK_URL: Optional[str] = "https://api.langflow.store/flows/trigger/64275852-ec00-45c1-984e-3bff814732da" + @validator("CONFIG_DIR", pre=True, allow_reuse=True) def set_langflow_dir(cls, value): if not value: @@ -79,9 +88,7 @@ class Settings(BaseSettings): @validator("DATABASE_URL", pre=True) def set_database_url(cls, value, values): if not value: - logger.debug( - "No database_url provided, trying LANGFLOW_DATABASE_URL env variable" - ) + logger.debug("No database_url provided, trying LANGFLOW_DATABASE_URL env variable") if langflow_database_url := os.getenv("LANGFLOW_DATABASE_URL"): value = langflow_database_url logger.debug("Using LANGFLOW_DATABASE_URL env variable.") @@ -91,9 +98,7 @@ class Settings(BaseSettings): # so we need to migrate to the new format # if there is a database in that location if not values["CONFIG_DIR"]: - raise ValueError( - "CONFIG_DIR not set, please set it or provide a DATABASE_URL" - ) + raise ValueError("CONFIG_DIR not set, please set it or provide a DATABASE_URL") new_path = f"{values['CONFIG_DIR']}/langflow.db" if Path("./langflow.db").exists(): @@ -117,22 +122,15 @@ class Settings(BaseSettings): if os.getenv("LANGFLOW_COMPONENTS_PATH"): logger.debug("Adding LANGFLOW_COMPONENTS_PATH to components_path") langflow_component_path = os.getenv("LANGFLOW_COMPONENTS_PATH") - if ( - Path(langflow_component_path).exists() - and langflow_component_path not in value - ): + if Path(langflow_component_path).exists() and langflow_component_path not in value: if isinstance(langflow_component_path, list): for path in langflow_component_path: if path not in value: value.append(path) - logger.debug( - f"Extending {langflow_component_path} to components_path" - ) + logger.debug(f"Extending {langflow_component_path} to components_path") elif langflow_component_path not in value: value.append(langflow_component_path) - logger.debug( - f"Appending {langflow_component_path} to components_path" - ) + logger.debug(f"Appending {langflow_component_path} to components_path") if not value: value = [BASE_COMPONENTS_PATH] @@ -144,9 +142,7 @@ class Settings(BaseSettings): logger.debug(f"Components path: {value}") return value - model_config = SettingsConfigDict( - validate_assignment=True, extra="ignore", env_prefix="LANGFLOW_" - ) + model_config = SettingsConfigDict(validate_assignment=True, extra="ignore", env_prefix="LANGFLOW_") # @model_validator() # @classmethod @@ -211,7 +207,7 @@ class Settings(BaseSettings): def save_settings_to_yaml(settings: Settings, file_path: str): with open(file_path, "w") as f: - settings_dict = settings.dict() + settings_dict = settings.model_dump() yaml.dump(settings_dict, f) diff --git a/src/backend/langflow/services/settings/factory.py b/src/backend/langflow/services/settings/factory.py index 9202ae8c3..713f13f82 100644 --- a/src/backend/langflow/services/settings/factory.py +++ b/src/backend/langflow/services/settings/factory.py @@ -1,5 +1,5 @@ from pathlib import Path -from langflow.services.settings.manager import SettingsService +from langflow.services.settings.service import SettingsService from langflow.services.factory import ServiceFactory @@ -10,6 +10,4 @@ class SettingsServiceFactory(ServiceFactory): def create(self): # Here you would have logic to create and configure a SettingsService langflow_dir = Path(__file__).parent.parent.parent - return SettingsService.load_settings_from_yaml( - str(langflow_dir / "config.yaml") - ) + return SettingsService.load_settings_from_yaml(str(langflow_dir / "config.yaml")) diff --git a/src/backend/langflow/services/settings/manager.py b/src/backend/langflow/services/settings/service.py similarity index 91% rename from src/backend/langflow/services/settings/manager.py rename to src/backend/langflow/services/settings/service.py index 40bf396f0..a57a59eb8 100644 --- a/src/backend/langflow/services/settings/manager.py +++ b/src/backend/langflow/services/settings/service.py @@ -30,9 +30,7 @@ class SettingsService(Service): for key in settings_dict: if key not in Settings.model_fields.keys(): raise KeyError(f"Key {key} not found in settings") - logger.debug( - f"Loading {len(settings_dict[key])} {key} from {file_path}" - ) + logger.debug(f"Loading {len(settings_dict[key])} {key} from {file_path}") settings = Settings(**settings_dict) if not settings.CONFIG_DIR: diff --git a/src/backend/langflow/services/settings/utils.py b/src/backend/langflow/services/settings/utils.py index fae96ff28..1fd308e72 100644 --- a/src/backend/langflow/services/settings/utils.py +++ b/src/backend/langflow/services/settings/utils.py @@ -14,9 +14,7 @@ def set_secure_permissions(file_path): import win32security user, domain, _ = win32security.LookupAccountName("", win32api.GetUserName()) - sd = win32security.GetFileSecurity( - file_path, win32security.DACL_SECURITY_INFORMATION - ) + sd = win32security.GetFileSecurity(file_path, win32security.DACL_SECURITY_INFORMATION) dacl = win32security.ACL() # Set the new DACL for the file: read and write access for the owner, no access for everyone else @@ -26,9 +24,7 @@ def set_secure_permissions(file_path): user, ) sd.SetSecurityDescriptorDacl(1, dacl, 0) - win32security.SetFileSecurity( - file_path, win32security.DACL_SECURITY_INFORMATION, sd - ) + win32security.SetFileSecurity(file_path, win32security.DACL_SECURITY_INFORMATION, sd) else: print("Unsupported OS") diff --git a/src/backend/langflow/services/store/__init__.py b/src/backend/langflow/services/store/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/backend/langflow/services/store/exceptions.py b/src/backend/langflow/services/store/exceptions.py new file mode 100644 index 000000000..df86d59bc --- /dev/null +++ b/src/backend/langflow/services/store/exceptions.py @@ -0,0 +1,25 @@ +class CustomException(Exception): + def __init__(self, detail, status_code): + super().__init__(detail) + self.status_code = status_code + + +# Define custom exceptions with status codes +class UnauthorizedError(CustomException): + def __init__(self, detail="Unauthorized access"): + super().__init__(detail, 401) + + +class ForbiddenError(CustomException): + def __init__(self, detail="Forbidden"): + super().__init__(detail, 403) + + +class APIKeyError(CustomException): + def __init__(self, detail="API key error"): + super().__init__(detail, 400) #! Should be 401 + + +class FilterError(CustomException): + def __init__(self, detail="Filter error"): + super().__init__(detail, 400) diff --git a/src/backend/langflow/services/store/factory.py b/src/backend/langflow/services/store/factory.py new file mode 100644 index 000000000..a25ad78c7 --- /dev/null +++ b/src/backend/langflow/services/store/factory.py @@ -0,0 +1,14 @@ +from typing import TYPE_CHECKING +from langflow.services.store.service import StoreService +from langflow.services.factory import ServiceFactory + +if TYPE_CHECKING: + from langflow.services.settings.service import SettingsService + + +class StoreServiceFactory(ServiceFactory): + def __init__(self): + super().__init__(StoreService) + + def create(self, settings_service: "SettingsService"): + return StoreService(settings_service) diff --git a/src/backend/langflow/services/store/schema.py b/src/backend/langflow/services/store/schema.py new file mode 100644 index 000000000..0fe89de18 --- /dev/null +++ b/src/backend/langflow/services/store/schema.py @@ -0,0 +1,75 @@ +from typing import List, Optional +from uuid import UUID + +from pydantic import BaseModel, validator + + +class TagResponse(BaseModel): + id: UUID + name: Optional[str] + + +class UsersLikesResponse(BaseModel): + likes_count: Optional[int] + liked_by_user: Optional[bool] + + +class CreateComponentResponse(BaseModel): + id: UUID + + +class TagsIdResponse(BaseModel): + tags_id: Optional[TagResponse] + + +class ListComponentResponse(BaseModel): + id: Optional[UUID] = None + name: Optional[str] = None + description: Optional[str] = None + liked_by_count: Optional[int] = None + liked_by_user: Optional[bool] = None + is_component: Optional[bool] = None + metadata: Optional[dict] = {} + user_created: Optional[dict] = {} + tags: Optional[List[TagResponse]] = None + downloads_count: Optional[int] = None + last_tested_version: Optional[str] = None + private: Optional[bool] = None + + # tags comes as a TagsIdResponse but we want to return a list of TagResponse + @validator("tags", pre=True) + def tags_to_list(cls, v): + # Check if all values are have id and name + # if so, return v else transform to TagResponse + if not v: + return v + if all(["id" in tag and "name" in tag for tag in v]): + return v + else: + return [TagResponse(**tag.get("tags_id")) for tag in v if tag.get("tags_id")] + + +class ListComponentResponseModel(BaseModel): + count: Optional[int] = 0 + authorized: bool + results: Optional[List[ListComponentResponse]] + + +class DownloadComponentResponse(BaseModel): + id: UUID + name: Optional[str] + description: Optional[str] + data: Optional[dict] + is_component: Optional[bool] + metadata: Optional[dict] = {} + + +class StoreComponentCreate(BaseModel): + name: str + description: Optional[str] + data: dict + tags: Optional[List[str]] + parent: Optional[UUID] = None + is_component: Optional[bool] + last_tested_version: Optional[str] = None + private: Optional[bool] = True diff --git a/src/backend/langflow/services/store/service.py b/src/backend/langflow/services/store/service.py new file mode 100644 index 000000000..52ee1c861 --- /dev/null +++ b/src/backend/langflow/services/store/service.py @@ -0,0 +1,544 @@ +import json +from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple +from uuid import UUID + +import httpx +from httpx import HTTPError, HTTPStatusError +from loguru import logger + +from langflow.services.base import Service +from langflow.services.store.exceptions import APIKeyError, FilterError, ForbiddenError +from langflow.services.store.schema import ( + CreateComponentResponse, + DownloadComponentResponse, + ListComponentResponse, + ListComponentResponseModel, + StoreComponentCreate, +) +from langflow.services.store.utils import ( + process_component_data, + process_tags_for_post, + update_components_with_user_data, +) + +if TYPE_CHECKING: + from langflow.services.settings.service import SettingsService + +from contextlib import asynccontextmanager +from contextvars import ContextVar + +user_data_var: ContextVar[Optional[Dict[str, Any]]] = ContextVar("user_data", default=None) + + +@asynccontextmanager +async def user_data_context(store_service: "StoreService", api_key: Optional[str] = None): + # Fetch and set user data to the context variable + if api_key: + try: + user_data, _ = await store_service._get( + f"{store_service.base_url}/users/me", api_key, params={"fields": "id"} + ) + user_data_var.set(user_data[0]) + except HTTPStatusError as exc: + if exc.response.status_code == 403: + raise ValueError("Invalid API key") + try: + yield + finally: + # Clear the user data from the context variable + user_data_var.set(None) + + +class StoreService(Service): + """This is a service that integrates langflow with the store which + is a Directus instance. It allows to search, get and post components to + the store.""" + + name = "store_service" + + def __init__(self, settings_service: "SettingsService"): + self.settings_service = settings_service + self.base_url = self.settings_service.settings.STORE_URL + self.download_webhook_url = self.settings_service.settings.DOWNLOAD_WEBHOOK_URL + self.like_webhook_url = self.settings_service.settings.LIKE_WEBHOOK_URL + self.components_url = f"{self.base_url}/items/components" + self.default_fields = [ + "id", + "name", + "description", + "user_created.username", + "is_component", + "tags.tags_id.name", + "tags.tags_id.id", + "count(liked_by)", + "count(downloads)", + "metadata", + "last_tested_version", + "private", + ] + + # Create a context manager that will use the api key to + # get the user data and all requests inside the context manager + # will make a property return that data + # Without making the request multiple times + + async def check_api_key(self, api_key: str): + # Check if the api key is valid + # If it is, return True + # If it is not, return False + try: + user_data, _ = await self._get(f"{self.base_url}/users/me", api_key, params={"fields": "id"}) + + return "id" in user_data[0] + except HTTPStatusError as exc: + if exc.response.status_code in [403, 401]: + return False + else: + raise ValueError(f"Unexpected status code: {exc.response.status_code}") + except Exception as exc: + raise ValueError(f"Unexpected error: {exc}") + + async def _get( + self, url: str, api_key: Optional[str] = None, params: Optional[Dict[str, Any]] = None + ) -> Tuple[List[Dict[str, Any]], Dict[str, Any]]: + """Utility method to perform GET requests.""" + if api_key: + headers = {"Authorization": f"Bearer {api_key}"} + else: + headers = {} + async with httpx.AsyncClient() as client: + try: + response = await client.get(url, headers=headers, params=params) + response.raise_for_status() + except HTTPError as exc: + raise exc + except Exception as exc: + raise ValueError(f"GET failed: {exc}") + json_response = response.json() + result = json_response["data"] + metadata = {} + if "meta" in json_response: + metadata = json_response["meta"] + + if isinstance(result, dict): + return [result], metadata + return result, metadata + + async def call_webhook(self, api_key: str, webhook_url: str, component_id: UUID) -> None: + # The webhook is a POST request with the data in the body + # For now we are calling it just for testing + try: + headers = {"Authorization": f"Bearer {api_key}"} + async with httpx.AsyncClient() as client: + response = await client.post(webhook_url, headers=headers, json={"component_id": str(component_id)}) + response.raise_for_status() + return response.json() + except HTTPError as exc: + raise exc + except Exception as exc: + logger.debug(f"Webhook failed: {exc}") + + def build_tags_filter(self, tags: List[str]): + tags_filter: Dict[str, Any] = {"tags": {"_and": []}} + for tag in tags: + tags_filter["tags"]["_and"].append({"_some": {"tags_id": {"name": {"_eq": tag}}}}) + return tags_filter + + async def count_components( + self, + filter_conditions: List[Dict[str, Any]], + api_key: Optional[str] = None, + use_api_key: Optional[bool] = False, + ) -> int: + params = {"aggregate": json.dumps({"count": "*"})} + if filter_conditions: + params["filter"] = json.dumps({"_and": filter_conditions}) + + api_key = api_key if use_api_key else None + + results, _ = await self._get(self.components_url, api_key, params) + return int(results[0].get("count", 0)) + + @staticmethod + def build_search_filter_conditions(query: str): + # instead of build the param ?search=query, we will build the filter + # that will use _icontains (case insensitive) + conditions: Dict[str, Any] = {"_or": []} + conditions["_or"].append({"name": {"_icontains": query}}) + conditions["_or"].append({"description": {"_icontains": query}}) + conditions["_or"].append({"tags": {"tags_id": {"name": {"_icontains": query}}}}) + conditions["_or"].append({"user_created": {"username": {"_icontains": query}}}) + return conditions + + def build_filter_conditions( + self, + component_id: Optional[str] = None, + search: Optional[str] = None, + private: Optional[bool] = None, + tags: Optional[List[str]] = None, + is_component: Optional[bool] = None, + filter_by_user: Optional[bool] = False, + liked: Optional[bool] = False, + store_api_Key: Optional[str] = None, + ): + filter_conditions = [] + + if search is not None: + search_conditions = self.build_search_filter_conditions(search) + filter_conditions.append(search_conditions) + + if private is not None: + filter_conditions.append({"private": {"_eq": private}}) + + if tags: + tags_filter = self.build_tags_filter(tags) + filter_conditions.append(tags_filter) + if component_id is not None: + filter_conditions.append({"id": {"_eq": component_id}}) + if is_component is not None: + filter_conditions.append({"is_component": {"_eq": is_component}}) + if liked and store_api_Key: + liked_filter = self.build_liked_filter() + filter_conditions.append(liked_filter) + elif liked and not store_api_Key: + raise APIKeyError("You must provide an API key to filter by likes") + + if filter_by_user and store_api_Key: + user_data = user_data_var.get() + if not user_data: + raise ValueError("No user data") + filter_conditions.append({"user_created": {"_eq": user_data["id"]}}) + elif filter_by_user and not store_api_Key: + raise APIKeyError("You must provide an API key to filter your components") + else: + filter_conditions.append({"private": {"_eq": False}}) + + return filter_conditions + + def build_liked_filter(self): + user_data = user_data_var.get() + # params["filter"] = json.dumps({"user_created": {"_eq": user_data["id"]}}) + if not user_data: + raise ValueError("No user data") + return {"liked_by": {"directus_users_id": {"_eq": user_data["id"]}}} + + async def query_components( + self, + api_key: Optional[str] = None, + sort: Optional[List[str]] = None, + page: int = 1, + limit: int = 15, + fields: Optional[List[str]] = None, + filter_conditions: Optional[List[Dict[str, Any]]] = None, + use_api_key: Optional[bool] = False, + ) -> Tuple[List[ListComponentResponse], Dict[str, Any]]: + params: Dict[str, Any] = { + "page": page, + "limit": limit, + "fields": ",".join(fields) if fields is not None else ",".join(self.default_fields), + "meta": "filter_count", # !This is DEPRECATED so we should remove it ASAP + } + # ?aggregate[count]=likes + + if sort: + params["sort"] = ",".join(sort) + + # Only public components or the ones created by the user + # check for "public" or "Public" + + if filter_conditions: + params["filter"] = json.dumps({"_and": filter_conditions}) + + # If not liked, this means we are getting public components + # so we don't need to risk passing an invalid api_key + # and getting 401 + api_key = api_key if use_api_key else None + results, metadata = await self._get(self.components_url, api_key, params) + if isinstance(results, dict): + results = [results] + + results_objects = [ListComponentResponse(**result) for result in results] + + return results_objects, metadata + + async def get_liked_by_user_components(self, component_ids: List[str], api_key: str) -> List[str]: + # Get fields id + # filter should be "id is in component_ids AND liked_by directus_users_id token is api_key" + # return the ids + user_data = user_data_var.get() + if not user_data: + raise ValueError("No user data") + params = { + "fields": "id", + "filter": json.dumps( + { + "_and": [ + {"id": {"_in": component_ids}}, + {"liked_by": {"directus_users_id": {"_eq": user_data["id"]}}}, + ] + } + ), + } + results, _ = await self._get(self.components_url, api_key, params) + return [result["id"] for result in results] + + # Which of the components is parent of the user's components + async def get_components_in_users_collection(self, component_ids: List[str], api_key: str): + user_data = user_data_var.get() + if not user_data: + raise ValueError("No user data") + params = { + "fields": "id", + "filter": json.dumps( + { + "_and": [ + {"user_created": {"_eq": user_data["id"]}}, + {"parent": {"_in": component_ids}}, + ] + } + ), + } + results, _ = await self._get(self.components_url, api_key, params) + return [result["id"] for result in results] + + async def download(self, api_key: str, component_id: UUID) -> DownloadComponentResponse: + url = f"{self.components_url}/{component_id}" + params = {"fields": ",".join(["id", "name", "description", "data", "is_component", "metadata"])} + if not self.download_webhook_url: + raise ValueError("DOWNLOAD_WEBHOOK_URL is not set") + component, _ = await self._get(url, api_key, params) + await self.call_webhook(api_key, self.download_webhook_url, component_id) + if len(component) > 1: + raise ValueError("Something went wrong while downloading the component") + component_dict = component[0] + + download_component = DownloadComponentResponse(**component_dict) + # Check if metadata is an empty dict + if download_component.metadata in [None, {}] and download_component.data is not None: + # If it is, we need to build the metadata + try: + download_component.metadata = process_component_data(download_component.data.get("nodes", [])) + except KeyError: + raise ValueError("Invalid component data. No nodes found") + return download_component + + async def upload(self, api_key: str, component_data: StoreComponentCreate) -> CreateComponentResponse: + headers = {"Authorization": f"Bearer {api_key}"} + component_dict = component_data.model_dump(exclude_unset=True) + # Parent is a UUID, but the store expects a string + response = None + if component_dict.get("parent"): + component_dict["parent"] = str(component_dict["parent"]) + + component_dict = process_tags_for_post(component_dict) + try: + # response = httpx.post(self.components_url, headers=headers, json=component_dict) + # response.raise_for_status() + async with httpx.AsyncClient() as client: + response = await client.post(self.components_url, headers=headers, json=component_dict) + response.raise_for_status() + component = response.json()["data"] + return CreateComponentResponse(**component) + except HTTPError as exc: + if response: + try: + errors = response.json() + message = errors["errors"][0]["message"] + if message == "An unexpected error occurred.": + # This is a bug in Directus that returns this error + # when an error was thrown in the flow + message = "You already have a component with this name. Please choose a different name." + raise FilterError(message) + except UnboundLocalError: + pass + raise ValueError(f"Upload failed: {exc}") + + async def update( + self, api_key: str, component_id: UUID, component_data: StoreComponentCreate + ) -> CreateComponentResponse: + # Patch is the same as post, but we need to add the id to the url + headers = {"Authorization": f"Bearer {api_key}"} + component_dict = component_data.model_dump(exclude_unset=True) + # Parent is a UUID, but the store expects a string + response = None + if component_dict.get("parent"): + component_dict["parent"] = str(component_dict["parent"]) + + component_dict = process_tags_for_post(component_dict) + try: + # response = httpx.post(self.components_url, headers=headers, json=component_dict) + # response.raise_for_status() + async with httpx.AsyncClient() as client: + response = await client.patch( + self.components_url + f"/{component_id}", headers=headers, json=component_dict + ) + response.raise_for_status() + component = response.json()["data"] + return CreateComponentResponse(**component) + except HTTPError as exc: + if response: + try: + errors = response.json() + message = errors["errors"][0]["message"] + if message == "An unexpected error occurred.": + # This is a bug in Directus that returns this error + # when an error was thrown in the flow + message = "You already have a component with this name. Please choose a different name." + raise FilterError(message) + except UnboundLocalError: + pass + raise ValueError(f"Upload failed: {exc}") + + async def get_tags(self) -> List[Dict[str, Any]]: + url = f"{self.base_url}/items/tags" + params = {"fields": ",".join(["id", "name"])} + tags, _ = await self._get(url, api_key=None, params=params) + return tags + + async def get_user_likes(self, api_key: str) -> List[Dict[str, Any]]: + url = f"{self.base_url}/users/me" + params = { + "fields": ",".join(["id", "likes"]), + } + likes, _ = await self._get(url, api_key, params) + return likes + + async def get_component_likes_count(self, component_id: str, api_key: Optional[str] = None) -> int: + url = f"{self.components_url}/{component_id}" + + params = { + "fields": ",".join(["id", "count(liked_by)"]), + } + result, _ = await self._get(url, api_key=api_key, params=params) + if len(result) == 0: + raise ValueError("Component not found") + likes = result[0]["liked_by_count"] + # likes_by_count is a string + # try to convert it to int + try: + likes = int(likes) + except ValueError: + raise ValueError(f"Unexpected value for likes count: {likes}") + return likes + + async def like_component(self, api_key: str, component_id: str) -> bool: + # if it returns a list with one id, it means the like was successful + # if it returns an int, it means the like was removed + if not self.like_webhook_url: + raise ValueError("LIKE_WEBHOOK_URL is not set") + headers = {"Authorization": f"Bearer {api_key}"} + # response = httpx.post( + # self.like_webhook_url, + # json={"component_id": str(component_id)}, + # headers=headers, + # ) + + # response.raise_for_status() + async with httpx.AsyncClient() as client: + response = await client.post( + self.like_webhook_url, + json={"component_id": str(component_id)}, + headers=headers, + ) + response.raise_for_status() + if response.status_code == 200: + result = response.json() + + if isinstance(result, list): + return True + elif isinstance(result, int): + return False + else: + raise ValueError(f"Unexpected result: {result}") + else: + raise ValueError(f"Unexpected status code: {response.status_code}") + + async def get_list_component_response_model( + self, + component_id: Optional[str] = None, + search: Optional[str] = None, + private: Optional[bool] = None, + tags: Optional[List[str]] = None, + is_component: Optional[bool] = None, + fields: Optional[List[str]] = None, + filter_by_user: bool = False, + liked: bool = False, + store_api_key: Optional[str] = None, + sort: Optional[List[str]] = None, + page: int = 1, + limit: int = 15, + ): + async with user_data_context(api_key=store_api_key, store_service=self): + filter_conditions: List[Dict[str, Any]] = self.build_filter_conditions( + component_id=component_id, + search=search, + private=private, + tags=tags, + is_component=is_component, + filter_by_user=filter_by_user, + liked=liked, + store_api_Key=store_api_key, + ) + + result: List[ListComponentResponse] = [] + authorized = False + metadata: Dict = {} + comp_count = 0 + try: + result, metadata = await self.query_components( + api_key=store_api_key, + page=page, + limit=limit, + sort=sort, + fields=fields, + filter_conditions=filter_conditions, + use_api_key=liked or filter_by_user, + ) + if metadata: + comp_count = metadata.get("filter_count", 0) + except HTTPStatusError as exc: + if exc.response.status_code == 403: + raise ForbiddenError("You are not authorized to access this public resource") from exc + elif exc.response.status_code == 401: + raise APIKeyError( + "You are not authorized to access this resource. Please check your API key." + ) from exc + except Exception as exc: + raise ValueError(f"Unexpected error: {exc}") from exc + try: + if result and not metadata: + if len(result) >= limit: + comp_count = await self.count_components( + api_key=store_api_key, + filter_conditions=filter_conditions, + use_api_key=liked or filter_by_user, + ) + else: + comp_count = len(result) + elif not metadata: + comp_count = 0 + except HTTPStatusError as exc: + if exc.response.status_code == 403: + raise ForbiddenError("You are not authorized to access this public resource") + elif exc.response.status_code == 401: + raise APIKeyError("You are not authorized to access this resource. Please check your API key.") + + if store_api_key: + # Now, from the result, we need to get the components + # the user likes and set the liked_by_user to True + # if any of the components does not have an id, it means + # we should not update the components + + if not result or any(component.id is None for component in result): + authorized = await self.check_api_key(store_api_key) + else: + try: + updated_result = await update_components_with_user_data( + result, self, store_api_key, liked=liked + ) + authorized = True + result = updated_result + except Exception: + # If we get an error here, it means the user is not authorized + authorized = False + return ListComponentResponseModel(results=result, authorized=authorized, count=comp_count) diff --git a/src/backend/langflow/services/store/utils.py b/src/backend/langflow/services/store/utils.py new file mode 100644 index 000000000..3ce4434f1 --- /dev/null +++ b/src/backend/langflow/services/store/utils.py @@ -0,0 +1,64 @@ +from typing import TYPE_CHECKING, List + +import httpx + +if TYPE_CHECKING: + from langflow.services.store.schema import ListComponentResponse + from langflow.services.store.service import StoreService + + +def process_tags_for_post(component_dict): + tags = component_dict.pop("tags", None) + if tags and all(isinstance(tag, str) for tag in tags): + component_dict["tags"] = [{"tags_id": tag} for tag in tags] + return component_dict + + +async def update_components_with_user_data( + components: List["ListComponentResponse"], + store_service: "StoreService", + store_api_Key: str, + liked: bool, +): + """ + Updates the components with the user data (liked_by_user and in_users_collection) + """ + component_ids = [str(component.id) for component in components] + if liked: + # If liked is True, this means all we got were liked_by_user components + # So we can set liked_by_user to True for all components + liked_by_user_ids = component_ids + else: + liked_by_user_ids = await store_service.get_liked_by_user_components( + component_ids=component_ids, + api_key=store_api_Key, + ) + # Now we need to set the liked_by_user attribute + for component in components: + component.liked_by_user = str(component.id) in liked_by_user_ids + + return components + + +# Get the latest released version of langflow (https://pypi.org/project/langflow/) +def get_lf_version_from_pypi(): + try: + response = httpx.get("https://pypi.org/pypi/langflow/json") + if response.status_code != 200: + return None + return response.json()["info"]["version"] + except Exception: + return None + + +def process_component_data(nodes_list): + names = [node["id"].split("-")[0] for node in nodes_list] + metadata = {} + for name in names: + if name in metadata: + metadata[name]["count"] += 1 + else: + metadata[name] = {"count": 1} + metadata["total"] = len(names) + + return metadata diff --git a/src/backend/langflow/services/task/backends/celery.py b/src/backend/langflow/services/task/backends/celery.py index eae985f3a..f23374549 100644 --- a/src/backend/langflow/services/task/backends/celery.py +++ b/src/backend/langflow/services/task/backends/celery.py @@ -10,9 +10,7 @@ class CeleryBackend(TaskBackend): def __init__(self): self.celery_app = celery_app - def launch_task( - self, task_func: Callable[..., Any], *args: Any, **kwargs: Any - ) -> tuple[str, AsyncResult]: + def launch_task(self, task_func: Callable[..., Any], *args: Any, **kwargs: Any) -> tuple[str, AsyncResult]: # I need to type the delay method to make it easier from celery import Task # type: ignore diff --git a/src/backend/langflow/services/task/factory.py b/src/backend/langflow/services/task/factory.py index efb6ac24d..e87eecc94 100644 --- a/src/backend/langflow/services/task/factory.py +++ b/src/backend/langflow/services/task/factory.py @@ -1,4 +1,4 @@ -from langflow.services.task.manager import TaskService +from langflow.services.task.service import TaskService from langflow.services.factory import ServiceFactory diff --git a/src/backend/langflow/services/task/manager.py b/src/backend/langflow/services/task/service.py similarity index 91% rename from src/backend/langflow/services/task/manager.py rename to src/backend/langflow/services/task/service.py index 807505c3a..3f7a81f2c 100644 --- a/src/backend/langflow/services/task/manager.py +++ b/src/backend/langflow/services/task/service.py @@ -1,10 +1,11 @@ from typing import Any, Callable, Coroutine, Union -from langflow.utils.logger import configure -from loguru import logger + from langflow.services.base import Service from langflow.services.task.backends.anyio import AnyIOBackend from langflow.services.task.backends.base import TaskBackend from langflow.services.task.utils import get_celery_worker_status +from langflow.utils.logger import configure +from loguru import logger def check_celery_availability(): @@ -60,12 +61,14 @@ class TaskService(Service): if not hasattr(task_func, "apply"): raise ValueError(f"Task function {task_func} does not have an apply method") task = task_func.apply(args=args, kwargs=kwargs) + result = task.get() + # if result is coroutine + if isinstance(result, Coroutine): + result = await result return task.id, result - async def launch_task( - self, task_func: Callable[..., Any], *args: Any, **kwargs: Any - ) -> Any: + async def launch_task(self, task_func: Callable[..., Any], *args: Any, **kwargs: Any) -> Any: logger.debug(f"Launching task {task_func} with args {args} and kwargs {kwargs}") logger.debug(f"Using backend {self.backend}") task = self.backend.launch_task(task_func, *args, **kwargs) diff --git a/src/backend/langflow/services/utils.py b/src/backend/langflow/services/utils.py index adbf072fe..2c4288e1e 100644 --- a/src/backend/langflow/services/utils.py +++ b/src/backend/langflow/services/utils.py @@ -1,24 +1,28 @@ + from langflow.services.auth.utils import create_super_user, verify_password from langflow.services.database.utils import initialize_database from langflow.services.manager import service_manager from langflow.services.schema import ServiceType -from langflow.services.settings.constants import ( - DEFAULT_SUPERUSER, - DEFAULT_SUPERUSER_PASSWORD, -) -from sqlmodel import Session -from .getters import get_db_service, get_session, get_settings_service +from langflow.services.settings.constants import (DEFAULT_SUPERUSER, + DEFAULT_SUPERUSER_PASSWORD) from loguru import logger +from sqlmodel import Session, select + +from .deps import get_db_service, get_session, get_settings_service def get_factories_and_deps(): - from langflow.services.database import factory as database_factory + from langflow.services.auth import factory as auth_factory from langflow.services.cache import factory as cache_factory from langflow.services.chat import factory as chat_factory + from langflow.services.credentials import factory as credentials_factory + from langflow.services.database import factory as database_factory + from langflow.services.plugins import factory as plugins_factory + from langflow.services.session import \ + factory as session_service_factory # type: ignore from langflow.services.settings import factory as settings_factory - from langflow.services.auth import factory as auth_factory + from langflow.services.store import factory as store_factory from langflow.services.task import factory as task_factory - from langflow.services.session import factory as session_service_factory # type: ignore return [ (settings_factory.SettingsServiceFactory(), []), @@ -40,13 +44,16 @@ def get_factories_and_deps(): session_service_factory.SessionServiceFactory(), [ServiceType.CACHE_SERVICE], ), + (plugins_factory.PluginServiceFactory(), [ServiceType.SETTINGS_SERVICE]), + (store_factory.StoreServiceFactory(), [ServiceType.SETTINGS_SERVICE]), + (credentials_factory.CredentialServiceFactory(), [ServiceType.SETTINGS_SERVICE]), ] def get_or_create_super_user(session: Session, username, password, is_default): - from langflow.services.database.models.user.user import User + from langflow.services.database.models.user.model import User - user = session.query(User).filter(User.username == username).first() + user = session.exec(select(User).where(User.username == username)).first() if user and user.is_superuser: return None # Superuser already exists @@ -69,16 +76,12 @@ def get_or_create_super_user(session: Session, username, password, is_default): ) return None else: - logger.debug( - "User with superuser credentials exists but is not a superuser." - ) + logger.debug("User with superuser credentials exists but is not a superuser.") return None if user: if verify_password(password, user.password): - raise ValueError( - "User with superuser credentials exists but is not a superuser." - ) + raise ValueError("User with superuser credentials exists but is not a superuser.") else: raise ValueError("Incorrect superuser credentials") @@ -100,25 +103,22 @@ def get_or_create_super_user(session: Session, username, password, is_default): def setup_superuser(settings_service, session: Session): if settings_service.auth_settings.AUTO_LOGIN: logger.debug("AUTO_LOGIN is set to True. Creating default superuser.") + else: + # Remove the default superuser if it exists + teardown_superuser(settings_service, session) username = settings_service.auth_settings.SUPERUSER password = settings_service.auth_settings.SUPERUSER_PASSWORD - is_default = (username == DEFAULT_SUPERUSER) and ( - password == DEFAULT_SUPERUSER_PASSWORD - ) + is_default = (username == DEFAULT_SUPERUSER) and (password == DEFAULT_SUPERUSER_PASSWORD) try: - user = get_or_create_super_user( - session=session, username=username, password=password, is_default=is_default - ) + user = get_or_create_super_user(session=session, username=username, password=password, is_default=is_default) if user is not None: logger.debug("Superuser created successfully.") except Exception as exc: logger.exception(exc) - raise RuntimeError( - "Could not create superuser. Please create a superuser manually." - ) from exc + raise RuntimeError("Could not create superuser. Please create a superuser manually.") from exc finally: settings_service.auth_settings.reset_credentials() @@ -130,14 +130,14 @@ def teardown_superuser(settings_service, session): # If AUTO_LOGIN is True, we will remove the default superuser # from the database. - if settings_service.auth_settings.AUTO_LOGIN: + if not settings_service.auth_settings.AUTO_LOGIN: try: - logger.debug("AUTO_LOGIN is set to True. Removing default superuser.") - username = settings_service.auth_settings.SUPERUSER - from langflow.services.database.models.user.user import User + logger.debug("AUTO_LOGIN is set to False. Removing default superuser if exists.") + username = DEFAULT_SUPERUSER + from langflow.services.database.models.user.model import User - user = session.query(User).filter(User.username == username).first() - if user and user.is_superuser: + user = session.exec(select(User).where(User.username == username)).first() + if user and user.is_superuser is True: session.delete(user) session.commit() logger.debug("Default superuser removed successfully.") @@ -175,14 +175,13 @@ def initialize_session_service(): """ Initialize the session manager. """ - from langflow.services.session import factory as session_service_factory # type: ignore from langflow.services.cache import factory as cache_factory + from langflow.services.session import \ + factory as session_service_factory # type: ignore initialize_settings_service() - service_manager.register_factory( - cache_factory.CacheServiceFactory(), dependencies=[ServiceType.SETTINGS_SERVICE] - ) + service_manager.register_factory(cache_factory.CacheServiceFactory(), dependencies=[ServiceType.SETTINGS_SERVICE]) service_manager.register_factory( session_service_factory.SessionServiceFactory(), @@ -190,7 +189,7 @@ def initialize_session_service(): ) -def initialize_services(): +def initialize_services(fix_migration: bool = False): """ Initialize all the services needed. """ @@ -199,17 +198,17 @@ def initialize_services(): service_manager.register_factory(factory, dependencies=dependencies) except Exception as exc: logger.exception(exc) - raise RuntimeError( - "Could not initialize services. Please check your settings." - ) from exc + raise RuntimeError("Could not initialize services. Please check your settings.") from exc # Test cache connection service_manager.get(ServiceType.CACHE_SERVICE) # Setup the superuser - initialize_database() - setup_superuser( - service_manager.get(ServiceType.SETTINGS_SERVICE), next(get_session()) - ) + try: + initialize_database(fix_migration=fix_migration) + except Exception as exc: + logger.exception(exc) + raise exc + setup_superuser(service_manager.get(ServiceType.SETTINGS_SERVICE), next(get_session())) try: get_db_service().migrate_flows_if_auto_login() except Exception as exc: diff --git a/src/backend/langflow/settings.py b/src/backend/langflow/settings.py index 6b6e81baf..625bd56e5 100644 --- a/src/backend/langflow/settings.py +++ b/src/backend/langflow/settings.py @@ -1,12 +1,13 @@ import contextlib import json import os -from typing import Optional, List from pathlib import Path +from typing import List, Optional import yaml -from pydantic import validator, model_validator +from pydantic import model_validator, validator from pydantic_settings import BaseSettings + from langflow.utils.logger import logger BASE_COMPONENTS_PATH = str(Path(__file__).parent / "components") @@ -39,9 +40,7 @@ class Settings(BaseSettings): @validator("DATABASE_URL", pre=True) def set_database_url(cls, value): if not value: - logger.debug( - "No database_url provided, trying LANGFLOW_DATABASE_URL env variable" - ) + logger.debug("No database_url provided, trying LANGFLOW_DATABASE_URL env variable") if langflow_database_url := os.getenv("LANGFLOW_DATABASE_URL"): value = langflow_database_url logger.debug("Using LANGFLOW_DATABASE_URL env variable.") @@ -56,22 +55,15 @@ class Settings(BaseSettings): if os.getenv("LANGFLOW_COMPONENTS_PATH"): logger.debug("Adding LANGFLOW_COMPONENTS_PATH to components_path") langflow_component_path = os.getenv("LANGFLOW_COMPONENTS_PATH") - if ( - Path(langflow_component_path).exists() - and langflow_component_path not in value - ): + if Path(langflow_component_path).exists() and langflow_component_path not in value: if isinstance(langflow_component_path, list): for path in langflow_component_path: if path not in value: value.append(path) - logger.debug( - f"Extending {langflow_component_path} to components_path" - ) + logger.debug(f"Extending {langflow_component_path} to components_path") elif langflow_component_path not in value: value.append(langflow_component_path) - logger.debug( - f"Appending {langflow_component_path} to components_path" - ) + logger.debug(f"Appending {langflow_component_path} to components_path") if not value: value = [BASE_COMPONENTS_PATH] @@ -150,7 +142,7 @@ class Settings(BaseSettings): def save_settings_to_yaml(settings: Settings, file_path: str): with open(file_path, "w") as f: - settings_dict = settings.dict() + settings_dict = settings.model_dump() yaml.dump(settings_dict, f) diff --git a/src/backend/langflow/template/field/base.py b/src/backend/langflow/template/field/base.py index 31c68d094..751b72af0 100644 --- a/src/backend/langflow/template/field/base.py +++ b/src/backend/langflow/template/field/base.py @@ -26,9 +26,6 @@ class TemplateFieldCreator(BaseModel, ABC): value: Any = None """The value of the field. Default is None.""" - suffixes: list[str] = [] - """List of suffixes for a file field. Default is an empty list.""" - file_types: list[str] = [] """List of file types associated with the field. Default is an empty list. (duplicate)""" @@ -59,11 +56,14 @@ class TemplateFieldCreator(BaseModel, ABC): info: Optional[str] = "" """Additional information about the field to be shown in the tooltip. Defaults to an empty string.""" + refresh: Optional[bool] = None + """Specifies if the field should be refreshed. Defaults to False.""" + def to_dict(self): - result = self.dict() + result = self.model_dump() # Remove key if it is None for key in list(result.keys()): - if result[key] is None or result[key] == []: + if result[key] is None or result[key] == [] and key != "value": del result[key] result["type"] = result.pop("field_type") result["list"] = result.pop("is_list") diff --git a/src/backend/langflow/template/frontend_node/agents.py b/src/backend/langflow/template/frontend_node/agents.py index 1d9d44aaa..d2e3589cf 100644 --- a/src/backend/langflow/template/frontend_node/agents.py +++ b/src/backend/langflow/template/frontend_node/agents.py @@ -144,8 +144,7 @@ class CSVAgentNode(FrontendNode): show=True, name="path", value="", - suffixes=[".csv"], - file_types=["csv"], + file_types=[".csv"], ), TemplateField( field_type="BaseLanguageModel", diff --git a/src/backend/langflow/template/frontend_node/base.py b/src/backend/langflow/template/frontend_node/base.py index 4b1c151a3..04467a094 100644 --- a/src/backend/langflow/template/frontend_node/base.py +++ b/src/backend/langflow/template/frontend_node/base.py @@ -1,17 +1,13 @@ -from collections import defaultdict import re -from typing import ClassVar, DefaultDict, Dict, List, Optional +from collections import defaultdict +from typing import ClassVar, Dict, List, Optional -from pydantic import BaseModel, Field - -from langflow.template.frontend_node.formatter import field_formatters -from langflow.template.frontend_node.constants import ( - CLASSES_TO_REMOVE, - FORCE_SHOW_FIELDS, -) from langflow.template.field.base import TemplateField +from langflow.template.frontend_node.constants import CLASSES_TO_REMOVE, FORCE_SHOW_FIELDS +from langflow.template.frontend_node.formatter import field_formatters from langflow.template.template.base import Template from langflow.utils import constants +from pydantic import BaseModel, Field class FieldFormatters(BaseModel): @@ -49,9 +45,11 @@ class FrontendNode(BaseModel): name: str = "" display_name: str = "" documentation: str = "" - custom_fields: Optional[DefaultDict[str, List[str]]] = defaultdict(list) + custom_fields: Optional[Dict] = defaultdict(list) output_types: List[str] = [] + full_path: Optional[str] = None field_formatters: FieldFormatters = Field(default_factory=FieldFormatters) + beta: bool = False error: Optional[str] = None @@ -67,11 +65,7 @@ class FrontendNode(BaseModel): def process_base_classes(self) -> None: """Removes unwanted base classes from the list of base classes.""" - self.base_classes = [ - base_class - for base_class in self.base_classes - if base_class not in CLASSES_TO_REMOVE - ] + self.base_classes = [base_class for base_class in self.base_classes if base_class not in CLASSES_TO_REMOVE] def to_dict(self) -> dict: """Returns a dict representation of the frontend node.""" @@ -130,9 +124,7 @@ class FrontendNode(BaseModel): return _type @staticmethod - def handle_special_field( - field, key: str, _type: str, SPECIAL_FIELD_HANDLERS - ) -> str: + def handle_special_field(field, key: str, _type: str, SPECIAL_FIELD_HANDLERS) -> str: """Handles special field by using the respective handler if present.""" handler = SPECIAL_FIELD_HANDLERS.get(key) return handler(field) if handler else _type @@ -142,13 +134,8 @@ class FrontendNode(BaseModel): """Handles 'dict' type by replacing it with 'code' or 'file' based on the field name.""" if "dict" in _type.lower() and field.name == "dict_": field.field_type = "file" - field.suffixes = [".json", ".yaml", ".yml"] - field.file_types = ["json", "yaml", "yml"] - elif ( - _type.startswith("Dict") - or _type.startswith("Mapping") - or _type.startswith("dict") - ): + field.file_types = [".json", ".yaml", ".yml"] + elif _type.startswith("Dict") or _type.startswith("Mapping") or _type.startswith("dict"): field.field_type = "dict" return _type @@ -159,9 +146,7 @@ class FrontendNode(BaseModel): field.value = value["default"] @staticmethod - def handle_specific_field_values( - field: TemplateField, key: str, name: Optional[str] = None - ) -> None: + def handle_specific_field_values(field: TemplateField, key: str, name: Optional[str] = None) -> None: """Handles specific field values for certain fields.""" if key == "headers": field.value = """{"Authorization": "Bearer "}""" @@ -169,9 +154,7 @@ class FrontendNode(BaseModel): FrontendNode._handle_api_key_specific_field_values(field, key, name) @staticmethod - def _handle_model_specific_field_values( - field: TemplateField, key: str, name: Optional[str] = None - ) -> None: + def _handle_model_specific_field_values(field: TemplateField, key: str, name: Optional[str] = None) -> None: """Handles specific field values related to models.""" model_dict = { "OpenAI": constants.OPENAI_MODELS, @@ -184,9 +167,7 @@ class FrontendNode(BaseModel): field.is_list = True @staticmethod - def _handle_api_key_specific_field_values( - field: TemplateField, key: str, name: Optional[str] = None - ) -> None: + def _handle_api_key_specific_field_values(field: TemplateField, key: str, name: Optional[str] = None) -> None: """Handles specific field values related to API keys.""" if "api_key" in key and "OpenAI" in str(name): field.display_name = "OpenAI API Key" @@ -225,10 +206,7 @@ class FrontendNode(BaseModel): @staticmethod def should_be_password(key: str, show: bool) -> bool: """Determines whether the field should be a password field.""" - return ( - any(text in key.lower() for text in {"password", "token", "api", "key"}) - and show - ) + return any(text in key.lower() for text in {"password", "token", "api", "key"}) and show @staticmethod def should_be_multiline(key: str) -> bool: diff --git a/src/backend/langflow/template/frontend_node/chains.py b/src/backend/langflow/template/frontend_node/chains.py index 18cedbe1d..f6e1eacd1 100644 --- a/src/backend/langflow/template/frontend_node/chains.py +++ b/src/backend/langflow/template/frontend_node/chains.py @@ -135,7 +135,9 @@ class SeriesCharacterChainNode(FrontendNode): ), ], ) - description: str = "SeriesCharacterChain is a chain you can use to have a conversation with a character from a series." # noqa + description: str = ( + "SeriesCharacterChain is a chain you can use to have a conversation with a character from a series." # noqa + ) base_classes: list[str] = [ "LLMChain", "BaseCustomChain", diff --git a/src/backend/langflow/template/frontend_node/custom_components.py b/src/backend/langflow/template/frontend_node/custom_components.py index e239775bc..a0a5a9956 100644 --- a/src/backend/langflow/template/frontend_node/custom_components.py +++ b/src/backend/langflow/template/frontend_node/custom_components.py @@ -1,8 +1,47 @@ +from typing import Optional + from langflow.template.field.base import TemplateField from langflow.template.frontend_node.base import FrontendNode from langflow.template.template.base import Template -from langflow.interface.custom.constants import DEFAULT_CUSTOM_COMPONENT_CODE -from typing import Optional + +DEFAULT_CUSTOM_COMPONENT_CODE = """from langflow import CustomComponent +from typing import Optional, List, Dict, Union +from langflow.field_typing import ( + AgentExecutor, + BaseChatMemory, + BaseLanguageModel, + BaseLLM, + BaseLoader, + BaseMemory, + BaseOutputParser, + BasePromptTemplate, + BaseRetriever, + Callable, + Chain, + ChatPromptTemplate, + Data, + Document, + Embeddings, + NestedDict, + Object, + PromptTemplate, + TextSplitter, + Tool, + VectorStore, +) + + +class Component(CustomComponent): + display_name: str = "Custom Component" + description: str = "Create any custom component you want!" + + def build_config(self): + return {"param": {"display_name": "Parameter"}} + + def build(self, param: Data) -> Data: + return param + +""" class CustomComponentFrontendNode(FrontendNode): diff --git a/src/backend/langflow/template/frontend_node/documentloaders.py b/src/backend/langflow/template/frontend_node/documentloaders.py index ed5a0fa42..31e13894a 100644 --- a/src/backend/langflow/template/frontend_node/documentloaders.py +++ b/src/backend/langflow/template/frontend_node/documentloaders.py @@ -1,11 +1,10 @@ from typing import ClassVar, Dict, Optional + from langflow.template.field.base import TemplateField from langflow.template.frontend_node.base import FrontendNode -def build_file_field( - suffixes: list, fileTypes: list, name: str = "file_path" -) -> TemplateField: +def build_file_field(fileTypes: list, name: str = "file_path") -> TemplateField: """Build a template field for a document loader.""" return TemplateField( field_type="file", @@ -13,7 +12,6 @@ def build_file_field( show=True, name=name, value="", - suffixes=suffixes, file_types=fileTypes, ) @@ -24,34 +22,51 @@ class DocumentLoaderFrontNode(FrontendNode): self.output_types = ["Document"] file_path_templates: ClassVar[Dict] = { - "AirbyteJSONLoader": build_file_field(suffixes=[".json"], fileTypes=["json"]), - "CoNLLULoader": build_file_field(suffixes=[".csv"], fileTypes=["csv"]), - "CSVLoader": build_file_field(suffixes=[".csv"], fileTypes=["csv"]), + "AirbyteJSONLoader": build_file_field( + fileTypes=[".json"], + ), + "CoNLLULoader": build_file_field( + fileTypes=[".csv"], + ), + "CSVLoader": build_file_field( + fileTypes=[".csv"], + ), "UnstructuredEmailLoader": build_file_field( - suffixes=[".eml"], fileTypes=["eml"] + fileTypes=[".eml"], ), - "EverNoteLoader": build_file_field(suffixes=[".xml"], fileTypes=["xml"]), - "FacebookChatLoader": build_file_field(suffixes=[".json"], fileTypes=["json"]), - "BSHTMLLoader": build_file_field(suffixes=[".html"], fileTypes=["html"]), - "UnstructuredHTMLLoader": build_file_field( - suffixes=[".html"], fileTypes=["html"] + "EverNoteLoader": build_file_field( + fileTypes=[".xml"], ), + "FacebookChatLoader": build_file_field( + fileTypes=[".json"], + ), + "BSHTMLLoader": build_file_field( + fileTypes=[".html"], + ), + "UnstructuredHTMLLoader": build_file_field(fileTypes=[".html"]), "UnstructuredImageLoader": build_file_field( - suffixes=[".jpg", ".jpeg", ".png", ".gif", ".bmp"], - fileTypes=["jpg", "jpeg", "png", "gif", "bmp"], + fileTypes=[".jpg", ".jpeg", ".png", ".gif", ".bmp"], ), "UnstructuredMarkdownLoader": build_file_field( - suffixes=[".md"], fileTypes=["md"] + fileTypes=[".md"], + ), + "PyPDFLoader": build_file_field( + fileTypes=[".pdf"], ), - "PyPDFLoader": build_file_field(suffixes=[".pdf"], fileTypes=["pdf"]), "UnstructuredPowerPointLoader": build_file_field( - suffixes=[".pptx", ".ppt"], fileTypes=["pptx", "ppt"] + fileTypes=[".pptx", ".ppt"], + ), + "SRTLoader": build_file_field( + fileTypes=[".srt"], + ), + "TelegramChatLoader": build_file_field( + fileTypes=[".json"], + ), + "TextLoader": build_file_field( + fileTypes=[".txt"], ), - "SRTLoader": build_file_field(suffixes=[".srt"], fileTypes=["srt"]), - "TelegramChatLoader": build_file_field(suffixes=[".json"], fileTypes=["json"]), - "TextLoader": build_file_field(suffixes=[".txt"], fileTypes=["txt"]), "UnstructuredWordDocumentLoader": build_file_field( - suffixes=[".docx", ".doc"], fileTypes=["docx", "doc"] + fileTypes=[".docx", ".doc"], ), } @@ -113,8 +128,7 @@ class DocumentLoaderFrontNode(FrontendNode): name="zip_path", value="", display_name="Path to zip file", - suffixes=[".zip"], - file_types=["zip"], + file_types=[".zip"], ) ) self.template.add_field( diff --git a/src/backend/langflow/template/frontend_node/embeddings.py b/src/backend/langflow/template/frontend_node/embeddings.py index 665328e78..6d3f43d64 100644 --- a/src/backend/langflow/template/frontend_node/embeddings.py +++ b/src/backend/langflow/template/frontend_node/embeddings.py @@ -15,8 +15,7 @@ class EmbeddingFrontendNode(FrontendNode): show=True, name="credentials", value="", - suffixes=[".json"], - file_types=["json"], + file_types=[".json"], ) ) @@ -70,9 +69,7 @@ class EmbeddingFrontendNode(FrontendNode): field.advanced = True split_name = field.name.split("_") title_name = " ".join([s.capitalize() for s in split_name]) - field.display_name = title_name.replace("Openai", "OpenAI").replace( - "Api", "API" - ) + field.display_name = title_name.replace("Openai", "OpenAI").replace("Api", "API") if "api_key" in field.name: field.password = True diff --git a/src/backend/langflow/template/frontend_node/formatter/field_formatters.py b/src/backend/langflow/template/frontend_node/formatter/field_formatters.py index 654a92c2f..dc57ff04f 100644 --- a/src/backend/langflow/template/frontend_node/formatter/field_formatters.py +++ b/src/backend/langflow/template/frontend_node/formatter/field_formatters.py @@ -1,14 +1,10 @@ +import re from typing import ClassVar, Dict, Optional + from langflow.template.field.base import TemplateField from langflow.template.frontend_node.constants import FORCE_SHOW_FIELDS from langflow.template.frontend_node.formatter.base import FieldFormatter -import re - -from langflow.utils.constants import ( - ANTHROPIC_MODELS, - CHAT_OPENAI_MODELS, - OPENAI_MODELS, -) +from langflow.utils.constants import ANTHROPIC_MODELS, CHAT_OPENAI_MODELS, OPENAI_MODELS class OpenAIAPIKeyFormatter(FieldFormatter): @@ -112,10 +108,7 @@ class PasswordFieldFormatter(FieldFormatter): def format(self, field: TemplateField, name: Optional[str] = None) -> None: key = field.name show = field.show - if ( - any(text in key.lower() for text in {"password", "token", "api", "key"}) - and show - ): + if any(text in key.lower() for text in {"password", "token", "api", "key"}) and show: field.password = True @@ -155,11 +148,6 @@ class DictCodeFileFormatter(FieldFormatter): _type = value["type"] if "dict" in _type.lower() and key == "dict_": field.field_type = "file" - field.suffixes = [".json", ".yaml", ".yml"] - field.file_types = ["json", "yaml", "yml"] - elif ( - _type.startswith("Dict") - or _type.startswith("Mapping") - or _type.startswith("dict") - ): + field.file_types = [".json", ".yaml", ".yml"] + elif _type.startswith("Dict") or _type.startswith("Mapping") or _type.startswith("dict"): field.field_type = "dict" diff --git a/src/backend/langflow/template/frontend_node/llms.py b/src/backend/langflow/template/frontend_node/llms.py index b8e007a27..748617e16 100644 --- a/src/backend/langflow/template/frontend_node/llms.py +++ b/src/backend/langflow/template/frontend_node/llms.py @@ -18,8 +18,7 @@ class LLMFrontendNode(FrontendNode): show=True, name="credentials", value="", - suffixes=[".json"], - file_types=["json"], + file_types=[".json"], ) ) @@ -54,9 +53,9 @@ class LLMFrontendNode(FrontendNode): @staticmethod def format_openai_field(field: TemplateField): if "openai" in field.name.lower(): - field.display_name = ( - field.name.title().replace("Openai", "OpenAI").replace("_", " ") - ).replace("Api", "API") + field.display_name = (field.name.title().replace("Openai", "OpenAI").replace("_", " ")).replace( + "Api", "API" + ) if "key" not in field.name.lower() and "token" not in field.name.lower(): field.password = False @@ -109,10 +108,7 @@ class LLMFrontendNode(FrontendNode): if field.name in SHOW_FIELDS: field.show = True - if "api" in field.name and ( - "key" in field.name - or ("token" in field.name and "tokens" not in field.name) - ): + if "api" in field.name and ("key" in field.name or ("token" in field.name and "tokens" not in field.name)): field.password = True field.show = True # Required should be False to support diff --git a/src/backend/langflow/template/frontend_node/memories.py b/src/backend/langflow/template/frontend_node/memories.py index 019dc0fa8..bbf1c9a8d 100644 --- a/src/backend/langflow/template/frontend_node/memories.py +++ b/src/backend/langflow/template/frontend_node/memories.py @@ -76,9 +76,7 @@ class MemoryFrontendNode(FrontendNode): field.show = True field.advanced = False field.value = "" - field.info = ( - INPUT_KEY_INFO if field.name == "input_key" else OUTPUT_KEY_INFO - ) + field.info = INPUT_KEY_INFO if field.name == "input_key" else OUTPUT_KEY_INFO if field.name == "memory_key": field.value = "chat_history" diff --git a/src/backend/langflow/template/frontend_node/prompts.py b/src/backend/langflow/template/frontend_node/prompts.py index f0ebc35aa..dccd66301 100644 --- a/src/backend/langflow/template/frontend_node/prompts.py +++ b/src/backend/langflow/template/frontend_node/prompts.py @@ -36,10 +36,7 @@ class PromptFrontendNode(FrontendNode): field.field_type = "prompt" field.advanced = False - if ( - "Union" in field.field_type - and "BaseMessagePromptTemplate" in field.field_type - ): + if "Union" in field.field_type and "BaseMessagePromptTemplate" in field.field_type: field.field_type = "BaseMessagePromptTemplate" # All prompt fields should be password=False diff --git a/src/backend/langflow/utils/constants.py b/src/backend/langflow/utils/constants.py index 283f44406..b2d00f8e6 100644 --- a/src/backend/langflow/utils/constants.py +++ b/src/backend/langflow/utils/constants.py @@ -1,3 +1,5 @@ +from typing import Any, Dict, List + OPENAI_MODELS = [ "text-davinci-003", "text-davinci-002", @@ -7,6 +9,7 @@ OPENAI_MODELS = [ ] CHAT_OPENAI_MODELS = [ "gpt-4-1106-preview", + "gpt-4-vision-preview", "gpt-4", "gpt-4-32k", "gpt-3.5-turbo", @@ -59,3 +62,117 @@ DIRECT_TYPES = [ "code", "NestedDict", ] + + +LOADERS_INFO: List[Dict[str, Any]] = [ + { + "loader": "AirbyteJSONLoader", + "name": "Airbyte JSON (.jsonl)", + "import": "langchain.document_loaders.AirbyteJSONLoader", + "defaultFor": ["jsonl"], + "allowdTypes": ["jsonl"], + }, + { + "loader": "JSONLoader", + "name": "JSON (.json)", + "import": "langchain.document_loaders.JSONLoader", + "defaultFor": ["json"], + "allowdTypes": ["json"], + }, + { + "loader": "BSHTMLLoader", + "name": "BeautifulSoup4 HTML (.html, .htm)", + "import": "langchain.document_loaders.BSHTMLLoader", + "allowdTypes": ["html", "htm"], + }, + { + "loader": "CSVLoader", + "name": "CSV (.csv)", + "import": "langchain.document_loaders.CSVLoader", + "defaultFor": ["csv"], + "allowdTypes": ["csv"], + }, + { + "loader": "CoNLLULoader", + "name": "CoNLL-U (.conllu)", + "import": "langchain.document_loaders.CoNLLULoader", + "defaultFor": ["conllu"], + "allowdTypes": ["conllu"], + }, + { + "loader": "EverNoteLoader", + "name": "EverNote (.enex)", + "import": "langchain.document_loaders.EverNoteLoader", + "defaultFor": ["enex"], + "allowdTypes": ["enex"], + }, + { + "loader": "FacebookChatLoader", + "name": "Facebook Chat (.json)", + "import": "langchain.document_loaders.FacebookChatLoader", + "allowdTypes": ["json"], + }, + { + "loader": "OutlookMessageLoader", + "name": "Outlook Message (.msg)", + "import": "langchain.document_loaders.OutlookMessageLoader", + "defaultFor": ["msg"], + "allowdTypes": ["msg"], + }, + { + "loader": "PyPDFLoader", + "name": "PyPDF (.pdf)", + "import": "langchain.document_loaders.PyPDFLoader", + "defaultFor": ["pdf"], + "allowdTypes": ["pdf"], + }, + { + "loader": "STRLoader", + "name": "Subtitle (.str)", + "import": "langchain.document_loaders.STRLoader", + "defaultFor": ["str"], + "allowdTypes": ["str"], + }, + { + "loader": "TextLoader", + "name": "Text (.txt)", + "import": "langchain.document_loaders.TextLoader", + "defaultFor": ["txt"], + "allowdTypes": ["txt"], + }, + { + "loader": "UnstructuredEmailLoader", + "name": "Unstructured Email (.eml)", + "import": "langchain.document_loaders.UnstructuredEmailLoader", + "defaultFor": ["eml"], + "allowdTypes": ["eml"], + }, + { + "loader": "UnstructuredHTMLLoader", + "name": "Unstructured HTML (.html, .htm)", + "import": "langchain.document_loaders.UnstructuredHTMLLoader", + "defaultFor": ["html", "htm"], + "allowdTypes": ["html", "htm"], + }, + { + "loader": "UnstructuredMarkdownLoader", + "name": "Unstructured Markdown (.md)", + "import": "langchain.document_loaders.UnstructuredMarkdownLoader", + "defaultFor": ["md"], + "allowdTypes": ["md"], + }, + { + "loader": "UnstructuredPowerPointLoader", + "name": "Unstructured PowerPoint (.pptx)", + "import": "langchain.document_loaders.UnstructuredPowerPointLoader", + "defaultFor": ["pptx"], + "allowdTypes": ["pptx"], + }, + { + "loader": "UnstructuredWordLoader", + "name": "Unstructured Word (.docx)", + "import": "langchain.document_loaders.UnstructuredWordLoader", + "defaultFor": ["docx"], + "allowdTypes": ["docx"], + }, +] diff --git a/src/backend/langflow/utils/logger.py b/src/backend/langflow/utils/logger.py index 08ac40c98..060ad9731 100644 --- a/src/backend/langflow/utils/logger.py +++ b/src/backend/langflow/utils/logger.py @@ -1,11 +1,11 @@ -from typing import Optional -from loguru import logger -from pathlib import Path -from rich.logging import RichHandler -from platformdirs import user_cache_dir import os -import orjson +from pathlib import Path +from typing import Optional +import orjson +from loguru import logger +from platformdirs import user_cache_dir +from rich.logging import RichHandler VALID_LOG_LEVELS = ["DEBUG", "INFO", "WARNING", "ERROR", "CRITICAL"] @@ -66,4 +66,4 @@ def configure(log_level: Optional[str] = None, log_file: Optional[Path] = None): logger.debug(f"Logger set up with log level: {log_level}") if log_file: - logger.info(f"Log file: {log_file}") + logger.debug(f"Log file: {log_file}") diff --git a/src/backend/langflow/utils/payload.py b/src/backend/langflow/utils/payload.py index cac23a0d6..0e2f0fc7a 100644 --- a/src/backend/langflow/utils/payload.py +++ b/src/backend/langflow/utils/payload.py @@ -28,16 +28,16 @@ def extract_input_variables(nodes): return nodes -def get_root_node(graph): +def get_root_vertex(graph): """ Returns the root node of the template. """ - incoming_edges = {edge.source for edge in graph.edges} + incoming_edges = {edge.source_id for edge in graph.edges} - if not incoming_edges and len(graph.nodes) == 1: - return graph.nodes[0] + if not incoming_edges and len(graph.vertices) == 1: + return graph.vertices[0] - return next((node for node in graph.nodes if node not in incoming_edges), None) + return next((node for node in graph.vertices if node.id not in incoming_edges), None) def build_json(root, graph) -> Dict: @@ -81,9 +81,7 @@ def build_json(root, graph) -> Dict: raise ValueError(f"No child with type {node_type} found") values = [build_json(child, graph) for child in children] value = ( - list(values) - if value["list"] - else next(iter(values), None) # type: ignore + list(values) if value["list"] else next(iter(values), None) # type: ignore ) final_dict[key] = value diff --git a/src/backend/langflow/utils/util.py b/src/backend/langflow/utils/util.py index 1c7a7f094..0a348601d 100644 --- a/src/backend/langflow/utils/util.py +++ b/src/backend/langflow/utils/util.py @@ -15,12 +15,8 @@ def remove_ansi_escape_codes(text): return re.sub(r"\x1b\[[0-9;]*[a-zA-Z]", "", text) -def build_template_from_function( - name: str, type_to_loader_dict: Dict, add_function: bool = False -): - classes = [ - item.__annotations__["return"].__name__ for item in type_to_loader_dict.values() - ] +def build_template_from_function(name: str, type_to_loader_dict: Dict, add_function: bool = False): + classes = [item.__annotations__["return"].__name__ for item in type_to_loader_dict.values()] # Raise error if name is not in chains if name not in classes: @@ -41,9 +37,7 @@ def build_template_from_function( for name_, value_ in value.__repr_args__(): if name_ == "default_factory": try: - variables[class_field_items][ - "default" - ] = get_default_factory( + variables[class_field_items]["default"] = get_default_factory( module=_class.__base__.__module__, function=value_ ) except Exception: @@ -52,9 +46,7 @@ def build_template_from_function( variables[class_field_items][name_] = value_ variables[class_field_items]["placeholder"] = ( - docs.params[class_field_items] - if class_field_items in docs.params - else "" + docs.params[class_field_items] if class_field_items in docs.params else "" ) # Adding function to base classes to allow # the output to be a function @@ -69,9 +61,7 @@ def build_template_from_function( } -def build_template_from_class( - name: str, type_to_cls_dict: Dict, add_function: bool = False -): +def build_template_from_class(name: str, type_to_cls_dict: Dict, add_function: bool = False): classes = [item.__name__ for item in type_to_cls_dict.values()] # Raise error if name is not in chains @@ -95,9 +85,7 @@ def build_template_from_class( for name_, value_ in value.__repr_args__(): if name_ == "default_factory": try: - variables[class_field_items][ - "default" - ] = get_default_factory( + variables[class_field_items]["default"] = get_default_factory( module=_class.__base__.__module__, function=value_ ) except Exception: @@ -106,9 +94,7 @@ def build_template_from_class( variables[class_field_items][name_] = value_ variables[class_field_items]["placeholder"] = ( - docs.params[class_field_items] - if class_field_items in docs.params - else "" + docs.params[class_field_items] if class_field_items in docs.params else "" ) base_classes = get_base_classes(_class) # Adding function to base classes to allow @@ -140,9 +126,7 @@ def build_template_from_method( # Check if the method exists in this class if not hasattr(_class, method_name): - raise ValueError( - f"Method {method_name} not found in class {class_name}" - ) + raise ValueError(f"Method {method_name} not found in class {class_name}") # Get the method method = getattr(_class, method_name) @@ -161,12 +145,8 @@ def build_template_from_method( "_type": _type, **{ name: { - "default": param.default - if param.default != param.empty - else None, - "type": param.annotation - if param.annotation != param.empty - else None, + "default": param.default if param.default != param.empty else None, + "type": param.annotation if param.annotation != param.empty else None, "required": param.default == param.empty, } for name, param in params.items() @@ -253,9 +233,7 @@ def sync_to_async(func): return async_wrapper -def format_dict( - dictionary: Dict[str, Any], class_name: Optional[str] = None -) -> Dict[str, Any]: +def format_dict(dictionary: Dict[str, Any], class_name: Optional[str] = None) -> Dict[str, Any]: """ Formats a dictionary by removing certain keys and modifying the values of other keys. @@ -341,9 +319,7 @@ def check_list_type(_type: str, value: Dict[str, Any]) -> str: The modified type string. """ if any(list_type in _type for list_type in ["List", "Sequence", "Set"]): - _type = ( - _type.replace("List[", "").replace("Sequence[", "").replace("Set[", "")[:-1] - ) + _type = _type.replace("List[", "").replace("Sequence[", "").replace("Set[", "")[:-1] value["list"] = True else: value["list"] = False @@ -427,8 +403,7 @@ def set_dict_file_attributes(value: Dict[str, Any]) -> None: Sets the file attributes for the 'dict_' key. """ value["type"] = "file" - value["suffixes"] = [".json", ".yaml", ".yml"] - value["fileTypes"] = ["json", "yaml", "yml"] + value["fileTypes"] = [".json", ".yaml", ".yml"] def replace_default_value_with_actual(value: Dict[str, Any]) -> None: @@ -447,9 +422,7 @@ def set_headers_value(value: Dict[str, Any]) -> None: value["value"] = """{"Authorization": "Bearer "}""" -def add_options_to_field( - value: Dict[str, Any], class_name: Optional[str], key: str -) -> None: +def add_options_to_field(value: Dict[str, Any], class_name: Optional[str], key: str) -> None: """ Adds options to the field based on the class name and key. """ diff --git a/src/backend/langflow/utils/validate.py b/src/backend/langflow/utils/validate.py index f8a9c1d1d..785055dba 100644 --- a/src/backend/langflow/utils/validate.py +++ b/src/backend/langflow/utils/validate.py @@ -1,9 +1,11 @@ import ast import contextlib import importlib -import types +from types import FunctionType from typing import Dict +from langflow.field_typing.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES + def add_type_ignores(): if not hasattr(ast, "TypeIgnore"): @@ -41,9 +43,7 @@ def validate_code(code): # Evaluate the function definition for node in tree.body: if isinstance(node, ast.FunctionDef): - code_obj = compile( - ast.Module(body=[node], type_ignores=[]), "", "exec" - ) + code_obj = compile(ast.Module(body=[node], type_ignores=[]), "", "exec") try: exec(code_obj) except Exception as e: @@ -63,8 +63,7 @@ def eval_function(function_string: str): ( obj for name, obj in namespace.items() - if isinstance(obj, types.FunctionType) - and obj.__code__.co_filename == "" + if isinstance(obj, FunctionType) and obj.__code__.co_filename == "" ), None, ) @@ -88,23 +87,15 @@ def execute_function(code, function_name, *args, **kwargs): exec_globals, locals(), ) - exec_globals[alias.asname or alias.name] = importlib.import_module( - alias.name - ) + exec_globals[alias.asname or alias.name] = importlib.import_module(alias.name) except ModuleNotFoundError as e: - raise ModuleNotFoundError( - f"Module {alias.name} not found. Please install it and try again." - ) from e + raise ModuleNotFoundError(f"Module {alias.name} not found. Please install it and try again.") from e function_code = next( - node - for node in module.body - if isinstance(node, ast.FunctionDef) and node.name == function_name + node for node in module.body if isinstance(node, ast.FunctionDef) and node.name == function_name ) function_code.parent = None - code_obj = compile( - ast.Module(body=[function_code], type_ignores=[]), "", "exec" - ) + code_obj = compile(ast.Module(body=[function_code], type_ignores=[]), "", "exec") try: exec(code_obj, exec_globals, locals()) except Exception as exc: @@ -131,23 +122,15 @@ def create_function(code, function_name): if isinstance(node, ast.Import): for alias in node.names: try: - exec_globals[alias.asname or alias.name] = importlib.import_module( - alias.name - ) + exec_globals[alias.asname or alias.name] = importlib.import_module(alias.name) except ModuleNotFoundError as e: - raise ModuleNotFoundError( - f"Module {alias.name} not found. Please install it and try again." - ) from e + raise ModuleNotFoundError(f"Module {alias.name} not found. Please install it and try again.") from e function_code = next( - node - for node in module.body - if isinstance(node, ast.FunctionDef) and node.name == function_name + node for node in module.body if isinstance(node, ast.FunctionDef) and node.name == function_name ) function_code.parent = None - code_obj = compile( - ast.Module(body=[function_code], type_ignores=[]), "", "exec" - ) + code_obj = compile(ast.Module(body=[function_code], type_ignores=[]), "", "exec") with contextlib.suppress(Exception): exec(code_obj, exec_globals, locals()) exec_globals[function_name] = locals()[function_name] @@ -164,53 +147,104 @@ def create_function(code, function_name): def create_class(code, class_name): + """ + Dynamically create a class from a string of code and a specified class name. + + :param code: String containing the Python code defining the class + :param class_name: Name of the class to be created + :return: A function that, when called, returns an instance of the created class + """ if not hasattr(ast, "TypeIgnore"): - - class TypeIgnore(ast.AST): - _fields = () - - ast.TypeIgnore = TypeIgnore + ast.TypeIgnore = create_type_ignore_class() module = ast.parse(code) - exec_globals = globals().copy() + exec_globals = prepare_global_scope(code, module) + class_code = extract_class_code(module, class_name) + compiled_class = compile_class_code(class_code) + + return build_class_constructor(compiled_class, exec_globals, class_name) + + +def create_type_ignore_class(): + """ + Create a TypeIgnore class for AST module if it doesn't exist. + + :return: TypeIgnore class + """ + + class TypeIgnore(ast.AST): + _fields = () + + return TypeIgnore + + +def prepare_global_scope(code, module): + """ + Prepares the global scope with necessary imports from the provided code module. + + :param module: AST parsed module + :return: Dictionary representing the global scope with imported modules + """ + exec_globals = globals().copy() + exec_globals.update(get_default_imports(code)) for node in module.body: if isinstance(node, ast.Import): for alias in node.names: try: - exec_globals[alias.asname or alias.name] = importlib.import_module( - alias.name - ) + exec_globals[alias.asname or alias.name] = importlib.import_module(alias.name) except ModuleNotFoundError as e: - raise ModuleNotFoundError( - f"Module {alias.name} not found. Please install it and try again." - ) from e - elif isinstance(node, ast.ImportFrom): + raise ModuleNotFoundError(f"Module {alias.name} not found. Please install it and try again.") from e + elif isinstance(node, ast.ImportFrom) and node.module is not None: try: imported_module = importlib.import_module(node.module) for alias in node.names: exec_globals[alias.name] = getattr(imported_module, alias.name) except ModuleNotFoundError as e: - raise ModuleNotFoundError( - f"Module {node.module} not found. Please install it and try again." - ) from e + raise ModuleNotFoundError(f"Module {node.module} not found. Please install it and try again.") from e + return exec_globals + + +def extract_class_code(module, class_name): + """ + Extracts the AST node for the specified class from the module. + + :param module: AST parsed module + :param class_name: Name of the class to extract + :return: AST node of the specified class + """ + class_code = next(node for node in module.body if isinstance(node, ast.ClassDef) and node.name == class_name) - class_code = next( - node - for node in module.body - if isinstance(node, ast.ClassDef) and node.name == class_name - ) class_code.parent = None - code_obj = compile( - ast.Module(body=[class_code], type_ignores=[]), "", "exec" - ) - # This suppresses import errors - # with contextlib.suppress(Exception): - exec(code_obj, exec_globals, locals()) + return class_code + + +def compile_class_code(class_code): + """ + Compiles the AST node of a class into a code object. + + :param class_code: AST node of the class + :return: Compiled code object of the class + """ + code_obj = compile(ast.Module(body=[class_code], type_ignores=[]), "", "exec") + return code_obj + + +def build_class_constructor(compiled_class, exec_globals, class_name): + """ + Builds a constructor function for the dynamically created class. + + :param compiled_class: Compiled code object of the class + :param exec_globals: Global scope with necessary imports + :param class_name: Name of the class + :return: Constructor function for the class + """ + + exec(compiled_class, exec_globals, locals()) exec_globals[class_name] = locals()[class_name] # Return a function that imports necessary modules and creates an instance of the target class - def build_my_class(*args, **kwargs): + def build_custom_class(*args, **kwargs): for module_name, module in exec_globals.items(): if isinstance(module, type(importlib)): globals()[module_name] = module @@ -218,9 +252,40 @@ def create_class(code, class_name): instance = exec_globals[class_name](*args, **kwargs) return instance - build_my_class.__globals__.update(exec_globals) + build_custom_class.__globals__.update(exec_globals) + return build_custom_class - return build_my_class + +def get_default_imports(code_string): + """ + Returns a dictionary of default imports for the dynamic class constructor. + """ + typing_module = importlib.import_module("typing") + default_imports = { + "Optional": typing_module.Optional, + "List": typing_module.List, + "Dict": typing_module.Dict, + "Union": typing_module.Union, + } + + langflow_imports = list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys()) + necessary_imports = find_names_in_code(code_string, langflow_imports) + langflow_module = importlib.import_module("langflow.field_typing") + default_imports.update({name: getattr(langflow_module, name) for name in necessary_imports}) + + return default_imports + + +def find_names_in_code(code, names): + """ + Finds if any of the specified names are present in the given code string. + + :param code: The source code as a string. + :param names: A list of names to check for in the code. + :return: A set of names that are found in the code. + """ + found_names = {name for name in names if name in code} + return found_names def extract_function_name(code): diff --git a/src/backend/langflow/worker.py b/src/backend/langflow/worker.py index 2eeba14a5..a66c35b78 100644 --- a/src/backend/langflow/worker.py +++ b/src/backend/langflow/worker.py @@ -1,15 +1,13 @@ -from langflow.core.celery_app import celery_app -from typing import Any, Dict, Optional -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, Any, Dict, Optional +from asgiref.sync import async_to_sync from celery.exceptions import SoftTimeLimitExceeded # type: ignore -from langflow.processing.process import ( - Result, - generate_result, - process_inputs, -) +from langflow.core.celery_app import celery_app +from langflow.processing.process import Result, generate_result, process_inputs +from langflow.services.deps import get_session_service from langflow.services.manager import initialize_session_service -from langflow.services.getters import get_session_service +from loguru import logger +from rich import print if TYPE_CHECKING: from langflow.graph.vertex.base import Vertex @@ -27,12 +25,10 @@ def build_vertex(self, vertex: "Vertex") -> "Vertex": """ try: vertex.task_id = self.request.id - vertex.build() + async_to_sync(vertex.build)() return vertex except SoftTimeLimitExceeded as e: - raise self.retry( - exc=SoftTimeLimitExceeded("Task took too long"), countdown=2 - ) from e + raise self.retry(exc=SoftTimeLimitExceeded("Task took too long"), countdown=2) from e @celery_app.task(acks_late=True) @@ -42,21 +38,38 @@ def process_graph_cached_task( clear_cache=False, session_id=None, ) -> Dict[str, Any]: - initialize_session_service() - session_service = get_session_service() - if clear_cache: - session_service.clear_session(session_id) - if session_id is None: - session_id = session_service.generate_key( - session_id=session_id, data_graph=data_graph - ) - # Load the graph using SessionService - graph, artifacts = session_service.load_session(session_id, data_graph) - built_object = graph.build() - processed_inputs = process_inputs(inputs, artifacts) - result = generate_result(built_object, processed_inputs) - # langchain_object is now updated with the new memory - # we need to update the cache with the updated langchain_object - session_service.update_session(session_id, (graph, artifacts)) + try: + initialize_session_service() + session_service = get_session_service() - return Result(result=result, session_id=session_id).dict() + if clear_cache: + session_service.clear_session(session_id) + + if session_id is None: + session_id = session_service.generate_key(session_id=session_id, data_graph=data_graph) + + # Use async_to_sync to handle the asynchronous part of the session service + session_data = async_to_sync(session_service.load_session, force_new_loop=True)(session_id, data_graph) + logger.warning(f"session_data: {session_data}") + graph, artifacts = session_data if session_data else (None, None) + + if not graph: + raise ValueError("Graph not found in the session") + + # Use async_to_sync for the asynchronous build method + built_object = async_to_sync(graph.build, force_new_loop=True)() + + logger.debug(f"Built object: {built_object}") + + processed_inputs = process_inputs(inputs, artifacts or {}) + result = generate_result(built_object, processed_inputs) + + # Update the session with the new data + session_service.update_session(session_id, (graph, artifacts)) + result_object = Result(result=result, session_id=session_id).model_dump() + print(f"Result object: {result_object}") + return result_object + except Exception as e: + logger.error(f"Error in process_graph_cached_task: {e}") + # Handle the exception as needed, maybe re-raise or return an error message + raise diff --git a/src/frontend/package-lock.json b/src/frontend/package-lock.json index 0bf66bdca..3fe0befd7 100644 --- a/src/frontend/package-lock.json +++ b/src/frontend/package-lock.json @@ -89,7 +89,7 @@ "@types/uuid": "^9.0.2", "@vitejs/plugin-react-swc": "^3.3.2", "autoprefixer": "^10.4.15", - "daisyui": "^3.6.3", + "daisyui": "^4.0.4", "postcss": "^8.4.29", "prettier": "^2.8.8", "prettier-plugin-organize-imports": "^3.2.3", @@ -129,9 +129,9 @@ } }, "node_modules/@antfu/ni": { - "version": "0.21.8", - "resolved": "https://registry.npmjs.org/@antfu/ni/-/ni-0.21.8.tgz", - "integrity": "sha512-90X8pU2szlvw0AJo9EZMbYc2eQKkmO7mAdC4tD4r5co2Mm56MT37MIG8EyB7p4WRheuzGxuLDxJ63mF6+Zajiw==", + "version": "0.21.9", + "resolved": "https://registry.npmjs.org/@antfu/ni/-/ni-0.21.9.tgz", + "integrity": "sha512-zlwQy574YEYl9ssWMV98ADxobU5wePdtyaOeQ5jgzdV8WldPcK+Osqd1SeQwEWjN0Io0GKiqpQzKZXVgxU1jPg==", "bin": { "na": "bin/na.mjs", "nci": "bin/nci.mjs", @@ -219,28 +219,28 @@ } }, "node_modules/@babel/compat-data": { - "version": "7.23.2", - "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.23.2.tgz", - "integrity": "sha512-0S9TQMmDHlqAZ2ITT95irXKfxN9bncq8ZCoJhun3nHL/lLUxd2NKBJYoNGWH7S0hz6fRQwWlAWn/ILM0C70KZQ==", + "version": "7.23.3", + "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.23.3.tgz", + "integrity": "sha512-BmR4bWbDIoFJmJ9z2cZ8Gmm2MXgEDgjdWgpKmKWUt54UGFJdlj31ECtbaDvCG/qVdG3AQ1SfpZEs01lUFbzLOQ==", "engines": { "node": ">=6.9.0" } }, "node_modules/@babel/core": { - 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"resolved": "https://registry.npmjs.org/prettier-plugin-organize-imports/-/prettier-plugin-organize-imports-3.2.3.tgz", - "integrity": "sha512-KFvk8C/zGyvUaE3RvxN2MhCLwzV6OBbFSkwZ2OamCrs9ZY4i5L77jQ/w4UmUr+lqX8qbaqVq6bZZkApn+IgJSg==", + "version": "3.2.4", + "resolved": "https://registry.npmjs.org/prettier-plugin-organize-imports/-/prettier-plugin-organize-imports-3.2.4.tgz", + "integrity": "sha512-6m8WBhIp0dfwu0SkgfOxJqh+HpdyfqSSLfKKRZSFbDuEQXDDndb8fTpRWkUrX/uBenkex3MgnVk0J3b3Y5byog==", "dev": true, "requires": {} }, @@ -17042,9 +17046,9 @@ } }, "property-information": { - "version": "6.3.0", - "resolved": "https://registry.npmjs.org/property-information/-/property-information-6.3.0.tgz", - "integrity": "sha512-gVNZ74nqhRMiIUYWGQdosYetaKc83x8oT41a0LlV3AAFCAZwCpg4vmGkq8t34+cUhp3cnM4XDiU/7xlgK7HGrg==" + "version": "6.4.0", + "resolved": "https://registry.npmjs.org/property-information/-/property-information-6.4.0.tgz", + "integrity": "sha512-9t5qARVofg2xQqKtytzt+lZ4d1Qvj8t5B8fEwXK6qOfgRLgH/b13QlgEyDh033NOS31nXeFbYv7CLUDG1CeifQ==" }, "proxy-from-env": { "version": "1.1.0", @@ -17073,9 +17077,9 @@ } }, "punycode": { - 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"@remix-run/router": "1.10.0", - "react-router": "6.17.0" + "@remix-run/router": "1.12.0", + "react-router": "6.19.0" } }, "react-style-singleton": { @@ -17258,9 +17262,9 @@ } }, "react-tooltip": { - "version": "5.21.6", - "resolved": "https://registry.npmjs.org/react-tooltip/-/react-tooltip-5.21.6.tgz", - "integrity": "sha512-WbND5ee8Kr5HaSuDDiAmSyRp5jH77PSk8M0CUzmVfD+1WST8XOm1StJndK/wOQIP5GPvDVPy96ylLxY/V+VpqA==", + "version": "5.23.0", + "resolved": "https://registry.npmjs.org/react-tooltip/-/react-tooltip-5.23.0.tgz", + "integrity": "sha512-MYqn6n+Af8NHHDL3zrSqzVSoK2LLqTNFp30CuuHCYlBEf+q88FWfg+8pSO+0GnDvOa5ZaryNDq9sAVQeNhnsgw==", "requires": { "@floating-ui/dom": "^1.0.0", "classnames": "^2.3.0" @@ -17284,16 +17288,16 @@ "requires": {} }, "reactflow": { - "version": "11.9.4", - "resolved": "https://registry.npmjs.org/reactflow/-/reactflow-11.9.4.tgz", - "integrity": "sha512-IHAKBkJngNvU9y1vZ5Nw9rvA3Z+zc9geTgQQIi9qq9Y9knGLlDDr9KfsjbFMew9AycAAgVg8TvBEakF4IT5lqg==", + "version": "11.10.1", + "resolved": "https://registry.npmjs.org/reactflow/-/reactflow-11.10.1.tgz", + "integrity": "sha512-Q616fElAc5/N37tMwjuRkkgm/VgmnLLTNNCj61z5mvJxae+/VXZQMfot1K6a5LLz9G3SVKqU97PMb9Ga1PRXew==", "requires": { - "@reactflow/background": "11.3.4", - "@reactflow/controls": "11.2.4", - "@reactflow/core": "11.9.4", - "@reactflow/minimap": "11.7.4", - "@reactflow/node-resizer": "2.2.4", - "@reactflow/node-toolbar": "1.3.4" + "@reactflow/background": "11.3.6", + "@reactflow/controls": "11.2.6", + "@reactflow/core": "11.10.1", + "@reactflow/minimap": "11.7.6", + "@reactflow/node-resizer": "2.2.6", + "@reactflow/node-toolbar": "1.3.6" } }, "read-cache": { @@ -18343,9 +18347,9 @@ } }, "universalify": { - "version": "2.0.0", - "resolved": "https://registry.npmjs.org/universalify/-/universalify-2.0.0.tgz", - "integrity": "sha512-hAZsKq7Yy11Zu1DE0OzWjw7nnLZmJZYTDZZyEFHZdUhV8FkH5MCfoU1XMaxXovpyW5nq5scPqq0ZDP9Zyl04oQ==" + "version": "2.0.1", + "resolved": "https://registry.npmjs.org/universalify/-/universalify-2.0.1.tgz", + "integrity": "sha512-gptHNQghINnc/vTGIk0SOFGFNXw7JVrlRUtConJRlvaw6DuX0wO5Jeko9sWrMBhh+PsYAZ7oXAiOnf/UKogyiw==" }, "update-browserslist-db": { "version": "1.0.13", @@ -18786,9 +18790,9 @@ "integrity": "sha512-iC+8Io04lddc+mVqQ9AZ7OQ2MrUKGN+oIQyq1vemgt46jwCwLfhq7/pwnBnNXXXZb8VTVLKwp9EDkx+ryxIWmg==" }, "zustand": { - "version": "4.4.4", - "resolved": "https://registry.npmjs.org/zustand/-/zustand-4.4.4.tgz", - "integrity": "sha512-5UTUIAiHMNf5+mFp7/AnzJXS7+XxktULFN0+D1sCiZWyX7ZG+AQpqs2qpYrynRij4QvoDdCD+U+bmg/cG3Ucxw==", + "version": "4.4.6", + "resolved": "https://registry.npmjs.org/zustand/-/zustand-4.4.6.tgz", + "integrity": "sha512-Rb16eW55gqL4W2XZpJh0fnrATxYEG3Apl2gfHTyDSE965x/zxslTikpNch0JgNjJA9zK6gEFW8Fl6d1rTZaqgg==", "requires": { "use-sync-external-store": "1.2.0" } diff --git a/src/frontend/package.json b/src/frontend/package.json index 0be0c9260..2d8f4b7ff 100644 --- a/src/frontend/package.json +++ b/src/frontend/package.json @@ -111,7 +111,7 @@ "@types/uuid": "^9.0.2", "@vitejs/plugin-react-swc": "^3.3.2", "autoprefixer": "^10.4.15", - "daisyui": "^3.6.3", + "daisyui": "^4.0.4", "postcss": "^8.4.29", "prettier": "^2.8.8", "prettier-plugin-organize-imports": "^3.2.3", diff --git a/src/frontend/src/App.tsx b/src/frontend/src/App.tsx index a4c36787d..0898ad58d 100644 --- a/src/frontend/src/App.tsx +++ b/src/frontend/src/App.tsx @@ -42,9 +42,7 @@ export default function App() { successData, successOpen, setSuccessOpen, - setErrorData, loading, - setLoading, } = useContext(alertContext); const navigate = useNavigate(); const { fetchError } = useContext(typesContext); diff --git a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx index d47b7bcda..63786be0a 100644 --- a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx @@ -22,10 +22,17 @@ import PromptAreaComponent from "../../../../components/promptComponent"; import TextAreaComponent from "../../../../components/textAreaComponent"; import ToggleShadComponent from "../../../../components/toggleShadComponent"; import { Button } from "../../../../components/ui/button"; -import { TOOLTIP_EMPTY } from "../../../../constants/constants"; +import { + LANGFLOW_SUPPORTED_TYPES, + TOOLTIP_EMPTY, +} from "../../../../constants/constants"; +import { alertContext } from "../../../../contexts/alertContext"; import { FlowsContext } from "../../../../contexts/flowsContext"; import { typesContext } from "../../../../contexts/typesContext"; +import { undoRedoContext } from "../../../../contexts/undoRedoContext"; +import { postCustomComponentUpdate } from "../../../../controllers/API"; import { ParameterComponentType } from "../../../../types/components"; +import { NodeDataType } from "../../../../types/flow"; import { convertObjToArray, convertValuesToNumbers, @@ -44,7 +51,6 @@ export default function ParameterComponent({ left, id, data, - setData, tooltipTitle, title, color, @@ -60,9 +66,10 @@ export default function ParameterComponent({ const ref = useRef(null); const refHtml = useRef(null); const infoHtml = useRef(null); + const { setErrorData } = useContext(alertContext); const updateNodeInternals = useUpdateNodeInternals(); const [position, setPosition] = useState(0); - const { setTabsState, tabId, flows } = useContext(FlowsContext); + const { setTabsState, tabId, flows, tabsState } = useContext(FlowsContext); const flow = flows.find((flow) => flow.id === tabId)?.data?.nodes ?? null; @@ -84,31 +91,51 @@ export default function ParameterComponent({ let disabled = reactFlowInstance ?.getEdges() - .some((edge) => edge.targetHandle === scapedJSONStringfy(id)) ?? false; + .some( + (edge) => + edge.targetHandle === + scapedJSONStringfy(proxy ? { ...id, proxy } : id) + ) ?? false; const { data: myData } = useContext(typesContext); + const { takeSnapshot } = useContext(undoRedoContext); + + const handleUpdateValues = async (name: string, data: NodeDataType) => { + const code = data.node?.template["code"]?.value; + if (!code) { + console.error("Code not found in the template"); + return; + } + + try { + const res = await postCustomComponentUpdate(code, name); + if (res.status === 200 && data.node?.template) { + data.node!.template[name] = res.data.template[name]; + } + } catch (err) { + setErrorData(err as { title: string; list?: Array }); + } + }; + const handleOnNewValue = ( newValue: string | string[] | boolean | Object[] ): void => { - let newData = cloneDeep(data); - newData.node!.template[name].value = newValue; - setData(newData); + if (data.node!.template[name].value !== newValue) { + takeSnapshot(); + } + data.node!.template[name].value = newValue; + updateNodeInternals(data.id); // Set state to pending //@ts-ignore - setTabsState((prev: TabsState) => { - if (!prev[tabId]) { - return prev; - } - return { - ...prev, - [tabId]: { - ...prev[tabId], - isPending: true, - formKeysData: prev[tabId].formKeysData, - }, - }; - }); + if (data.node!.template[name].value !== newValue) { + const tabs = cloneDeep(tabsState); + tabs[tabId].isPending = false; + tabs[tabId].formKeysData = tabsState[tabId].formKeysData; + setTabsState({ + ...tabs, + }); + } renderTooltips(); }; @@ -168,21 +195,40 @@ export default function ParameterComponent({ {nodeNames[item.family] ?? "Other"}{" "} - - {" "} - {item.type === "" ? "" : " - "} - {item.type.split(", ").length > 2 - ? item.type.split(", ").map((el, index) => ( - - - {index === item.type.split(", ").length - 1 - ? el - : (el += `, `)} - - - )) - : item.type} - + {item?.display_name && item?.display_name?.length > 0 ? ( + + {" "} + {item.display_name === "" ? "" : " - "} + {item.display_name.split(", ").length > 2 + ? item.display_name.split(", ").map((el, index) => ( + + + {index === + item.display_name.split(", ").length - 1 + ? el + : (el += `, `)} + + + )) + : item.display_name} + + ) : ( + + {" "} + {item.type === "" ? "" : " - "} + {item.type.split(", ").length > 2 + ? item.type.split(", ").map((el, index) => ( + + + {index === item.type.split(", ").length - 1 + ? el + : (el += `, `)} + + + )) + : item.type} + + )} @@ -199,17 +245,7 @@ export default function ParameterComponent({ }, [tooltipTitle, flow]); return !showNode ? ( - left && - (type === "str" || - type === "bool" || - type === "float" || - type === "code" || - type === "prompt" || - type === "file" || - type === "int" || - type === "dict" || - type === "NestedDict") && - !optionalHandle ? ( + left && LANGFLOW_SUPPORTED_TYPES.has(type ?? "") && !optionalHandle ? ( <> ) : ( + )} ) : left === true && type === "code" ? (
@@ -419,7 +459,6 @@ export default function ParameterComponent({ value={data.node?.template[name].value ?? ""} onChange={handleOnNewValue} fileTypes={data.node?.template[name].fileTypes} - suffixes={data.node?.template[name].suffixes} onFileChange={(filePath: string) => { data.node!.template[name].file_path = filePath; }} @@ -441,9 +480,6 @@ export default function ParameterComponent({ field_name={name} setNodeClass={(nodeClass) => { data.node = nodeClass; - const clone = cloneDeep(data); - clone.node = nodeClass; - setData(clone); }} nodeClass={data.node} disabled={disabled} @@ -471,6 +507,7 @@ export default function ParameterComponent({ data.node!.template[name].value = newValue; handleOnNewValue(newValue); }} + id="div-dict-input" />
) : left === true && type === "dict" ? ( diff --git a/src/frontend/src/CustomNodes/GenericNode/index.tsx b/src/frontend/src/CustomNodes/GenericNode/index.tsx index 81d99c8d5..3ae98f5bd 100644 --- a/src/frontend/src/CustomNodes/GenericNode/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/index.tsx @@ -6,9 +6,11 @@ import Tooltip from "../../components/TooltipComponent"; import IconComponent from "../../components/genericIconComponent"; import InputComponent from "../../components/inputComponent"; import { Textarea } from "../../components/ui/textarea"; +import { priorityFields } from "../../constants/constants"; import { useSSE } from "../../contexts/SSEContext"; import { FlowsContext } from "../../contexts/flowsContext"; import { typesContext } from "../../contexts/typesContext"; +import { undoRedoContext } from "../../contexts/undoRedoContext"; import NodeToolbarComponent from "../../pages/FlowPage/components/nodeToolbarComponent"; import { validationStatusType } from "../../types/components"; import { NodeDataType } from "../../types/flow"; @@ -22,7 +24,7 @@ import { classNames, getFieldTitle } from "../../utils/utils"; import ParameterComponent from "./components/parameterComponent"; export default function GenericNode({ - data: olddata, + data, xPos, yPos, selected, @@ -32,13 +34,12 @@ export default function GenericNode({ xPos: number; yPos: number; }): JSX.Element { - const [data, setData] = useState(olddata); const { updateFlow, flows, tabId } = useContext(FlowsContext); const updateNodeInternals = useUpdateNodeInternals(); const { types, deleteNode, reactFlowInstance, setFilterEdge, getFilterEdge } = useContext(typesContext); const name = nodeIconsLucide[data.type] ? data.type : types[data.type]; - const [inputName, setInputName] = useState(true); + const [inputName, setInputName] = useState(false); const [nodeName, setNodeName] = useState(data.node!.display_name); const [inputDescription, setInputDescription] = useState(false); const [nodeDescription, setNodeDescription] = useState( @@ -46,10 +47,11 @@ export default function GenericNode({ ); const [validationStatus, setValidationStatus] = useState(null); - const [showNode, setShowNode] = useState(true); const [handles, setHandles] = useState([]); let numberOfInputs: boolean[] = []; + const { takeSnapshot } = useContext(undoRedoContext); + function countHandles(): void { numberOfInputs = Object.keys(data.node!.template) .filter((templateField) => templateField.charAt(0) !== "_") @@ -86,7 +88,6 @@ export default function GenericNode({ // State for outline color const { sseData, isBuilding } = useSSE(); useEffect(() => { - olddata.node = data.node; let myFlow = flows.find((flow) => flow.id === tabId); if (reactFlowInstance && myFlow) { let flow = cloneDeep(myFlow); @@ -108,10 +109,12 @@ export default function GenericNode({ }, [data]); useEffect(() => { - setTimeout(() => { - updateNodeInternals(data.id); - }, 300); - }, [showNode]); + setNodeDescription(data.node!.description); + }, [data.node!.description]); + + useEffect(() => { + setNodeName(data.node!.display_name); + }, [data.node!.display_name]); // New useEffect to watch for changes in sseData and update validation status useEffect(() => { @@ -123,15 +126,22 @@ export default function GenericNode({ setValidationStatus(null); } }, [sseData, data.id]); + + const showNode = data.showNode ?? true; + return ( <> { + takeSnapshot(); + deleteNode(id); + }} + setShowNode={(show: boolean) => { + data.showNode = show; + }} numberOfHandles={handles} showNode={showNode} > @@ -168,10 +178,10 @@ export default function GenericNode({ } > @@ -180,7 +190,6 @@ export default function GenericNode({ {data.node?.flow && inputName ? (
{ setInputName(false); if (nodeName.trim() !== "") { @@ -199,10 +208,21 @@ export default function GenericNode({ ) : (
setInputName(true)} + className="flex" + onDoubleClick={() => { + setInputName(true); + takeSnapshot(); + }} > - {data.node?.display_name} +
+ {data.node?.display_name} +
+ {data.node?.flow && ( + + )}
)} @@ -229,7 +249,6 @@ export default function GenericNode({ proxy: data.node!.template[templateField].proxy, })} data={data} - setData={setData} color={ nodeColors[ types[data.node?.template[templateField].type!] @@ -278,7 +297,6 @@ export default function GenericNode({ dataType: data.type, })} data={data} - setData={setData} color={nodeColors[types[data.type]] ?? nodeColors.unknown} title={ data.node?.output_types && @@ -408,8 +426,11 @@ export default function GenericNode({ /> ) : (
setInputDescription(true)} + className="generic-node-desc-text break-all" + onDoubleClick={() => { + setInputDescription(true); + takeSnapshot(); + }} > {data.node?.description}
@@ -417,7 +438,15 @@ export default function GenericNode({ <> {Object.keys(data.node!.template) .filter((templateField) => templateField.charAt(0) !== "_") - .sort() + .sort((a, b) => { + if (priorityFields.has(a.toLowerCase())) { + return -1; + } else if (priorityFields.has(b.toLowerCase())) { + return 1; + } else { + return a.localeCompare(b); + } + }) .map((templateField: string, idx) => (
{data.node!.template[templateField].show && @@ -433,13 +462,12 @@ export default function GenericNode({ proxy: data.node!.template[templateField].proxy, })} data={data} - setData={setData} color={ nodeColors[ - types[data.node?.template[templateField].type!] + data.node?.template[templateField].type! ] ?? nodeColors[ - data.node?.template[templateField].type! + types[data.node?.template[templateField].type!] ] ?? nodeColors.unknown } @@ -483,30 +511,37 @@ export default function GenericNode({ > {" "}
- 0 - ? data.node.output_types.join("|") - : data.type - } - tooltipTitle={data.node?.base_classes.join("\n")} - id={{ - baseClasses: data.node!.base_classes, - id: data.id, - dataType: data.type, - }} - type={data.node?.base_classes.join("|")} - left={false} - showNode={showNode} - /> + {data.node!.base_classes.length > 0 && ( + 0 + ? nodeColors[data.node.output_types[0]] ?? + nodeColors[types[data.node.output_types[0]]] + : nodeColors[types[data.type]]) ?? nodeColors.unknown + } + title={ + data.node?.output_types && data.node.output_types.length > 0 + ? data.node.output_types.join("|") + : data.type + } + tooltipTitle={data.node?.base_classes.join("\n")} + id={{ + baseClasses: data.node!.base_classes, + id: data.id, + dataType: data.type, + }} + type={data.node?.base_classes.join("|")} + left={false} + showNode={showNode} + /> + )}
)} diff --git a/src/frontend/src/alerts/alertDropDown/index.tsx b/src/frontend/src/alerts/alertDropDown/index.tsx index 4bd7486bd..92d9df46f 100644 --- a/src/frontend/src/alerts/alertDropDown/index.tsx +++ b/src/frontend/src/alerts/alertDropDown/index.tsx @@ -30,7 +30,7 @@ export default function AlertDropdown({ }} > {children} - +
Notifications
diff --git a/src/frontend/src/alerts/error/index.tsx b/src/frontend/src/alerts/error/index.tsx index eb626df2f..ec23c103e 100644 --- a/src/frontend/src/alerts/error/index.tsx +++ b/src/frontend/src/alerts/error/index.tsx @@ -40,7 +40,7 @@ export default function ErrorAlert({ removeAlert(id); }, 500); }} - className="error-build-message" + className="error-build-message nocopy nopan nodelete nodrag noundo" >
diff --git a/src/frontend/src/alerts/notice/index.tsx b/src/frontend/src/alerts/notice/index.tsx index 624535ce1..faaa4db6a 100644 --- a/src/frontend/src/alerts/notice/index.tsx +++ b/src/frontend/src/alerts/notice/index.tsx @@ -36,7 +36,7 @@ export default function NoticeAlert({ setShow(false); removeAlert(id); }} - className="mt-6 w-96 rounded-md bg-info-background p-4 shadow-xl" + className="nocopy nopan nodelete nodrag noundo mt-6 w-96 rounded-md bg-info-background p-4 shadow-xl" >
diff --git a/src/frontend/src/alerts/success/index.tsx b/src/frontend/src/alerts/success/index.tsx index 6d82b51e5..ec6abf589 100644 --- a/src/frontend/src/alerts/success/index.tsx +++ b/src/frontend/src/alerts/success/index.tsx @@ -34,7 +34,7 @@ export default function SuccessAlert({ setShow(false); removeAlert(id); }} - className="success-alert" + className="success-alert nocopy nopan nodelete nodrag noundo" >
diff --git a/src/frontend/src/components/EditFlowSettingsComponent/index.tsx b/src/frontend/src/components/EditFlowSettingsComponent/index.tsx index fafb0f3d3..8952612b4 100644 --- a/src/frontend/src/components/EditFlowSettingsComponent/index.tsx +++ b/src/frontend/src/components/EditFlowSettingsComponent/index.tsx @@ -1,31 +1,18 @@ -import React, { ChangeEvent, useEffect, useRef, useState } from "react"; +import React, { ChangeEvent, useState } from "react"; import { Input } from "../../components/ui/input"; import { Label } from "../../components/ui/label"; import { Textarea } from "../../components/ui/textarea"; -import { readFlowsFromDatabase } from "../../controllers/API"; import { InputProps } from "../../types/components"; -import { FlowType } from "../../types/flow"; export const EditFlowSettings: React.FC = ({ name, - invalidName, - setInvalidName, + invalidNameList, description, maxLength = 50, - flows, - tabId, setName, setDescription, }: InputProps): JSX.Element => { const [isMaxLength, setIsMaxLength] = useState(false); - const nameLists = useRef([]); - useEffect(() => { - readFlowsFromDatabase().then((flows) => { - flows.forEach((flow: FlowType) => { - nameLists.current.push(flow.name); - }); - }); - }, []); const handleNameChange = (event: ChangeEvent) => { const { value } = event.target; @@ -34,19 +21,6 @@ export const EditFlowSettings: React.FC = ({ } else { setIsMaxLength(false); } - if (invalidName !== undefined) { - if (!nameLists.current.includes(value)) { - setInvalidName!(false); - } else { - setInvalidName!(true); - } - - if (!nameLists.current.includes(value)) { - setInvalidName!(false); - } else { - setInvalidName!(true); - } - } setName(value); }; @@ -62,7 +36,7 @@ export const EditFlowSettings: React.FC = ({ {isMaxLength && ( Character limit reached )} - {invalidName && ( + {invalidNameList?.includes(name ?? "") && ( Name already in use )}
diff --git a/src/frontend/src/components/PaginatorComponent/index.tsx b/src/frontend/src/components/PaginatorComponent/index.tsx index fa759a8bb..c5ed90f33 100644 --- a/src/frontend/src/components/PaginatorComponent/index.tsx +++ b/src/frontend/src/components/PaginatorComponent/index.tsx @@ -11,11 +11,12 @@ import IconComponent from "../genericIconComponent"; import { Button } from "../ui/button"; export default function PaginatorComponent({ - pageSize = 10, + pageSize = 12, pageIndex = 1, - rowsCount = [10, 20, 50, 100], + rowsCount = [12, 24, 48, 96], totalRowsCount = 0, paginate, + storeComponent = false, }: PaginatorComponentType) { const [size, setPageSize] = useState(pageSize); const [maxIndex, setMaxPageIndex] = useState( @@ -30,7 +31,13 @@ export default function PaginatorComponent({ <>
-
+

Rows per page

+
+
+
+
+

{title}

+

{description}

+
+
{button && button}
+
+ + {children} +
+
+ ); +} diff --git a/src/frontend/src/components/promptComponent/index.tsx b/src/frontend/src/components/promptComponent/index.tsx index 18fd14361..f5878af12 100644 --- a/src/frontend/src/components/promptComponent/index.tsx +++ b/src/frontend/src/components/promptComponent/index.tsx @@ -1,7 +1,6 @@ import { useEffect } from "react"; import { TypeModal } from "../../constants/enums"; -import { postValidatePrompt } from "../../controllers/API"; import GenericModal from "../../modals/genericModal"; import { PromptAreaComponentType } from "../../types/components"; import IconComponent from "../genericIconComponent"; @@ -23,18 +22,6 @@ export default function PromptAreaComponent({ } }, [disabled]); - useEffect(() => { - //prevent update from prompt template after group node if prompt is wrongly marked as not dynamic - if (value !== "" && !editNode && !readonly && !nodeClass?.flow) { - postValidatePrompt(field_name!, value, nodeClass!).then((apiReturn) => { - if (apiReturn.data) { - setNodeClass!(apiReturn.data.frontend_node); - // need to update reactFlowInstance to re-render the nodes. - } - }); - } - }, []); - return (
{!editNode && ( { + items: { + href: string; + title: string; + icon: React.ReactNode; + }[]; +} + +export default function SidebarNav({ + className, + items, + ...props +}: SidebarNavProps) { + const location = useLocation(); + const pathname = location.pathname; + + return ( + + ); +} diff --git a/src/frontend/src/components/stackedComponents/index.tsx b/src/frontend/src/components/stackedComponents/index.tsx new file mode 100644 index 000000000..1d917fa31 --- /dev/null +++ b/src/frontend/src/components/stackedComponents/index.tsx @@ -0,0 +1,30 @@ +import React, { ReactNode } from "react"; + +interface ElementStackProps { + children: ReactNode[]; +} + +const ElementStack: React.FC = ({ children }) => { + return ( +
+ {children.map((child, index) => ( +
+ {child} +
+ ))} +
+ ); +}; + +export default ElementStack; diff --git a/src/frontend/src/components/storeGuard/index.tsx b/src/frontend/src/components/storeGuard/index.tsx new file mode 100644 index 000000000..448153daa --- /dev/null +++ b/src/frontend/src/components/storeGuard/index.tsx @@ -0,0 +1,12 @@ +import { useContext } from "react"; +import { Navigate } from "react-router-dom"; +import { StoreContext } from "../../contexts/storeContext"; + +export const StoreGuard = ({ children }) => { + const { hasStore } = useContext(StoreContext); + if (!hasStore) { + return ; + } + + return children; +}; diff --git a/src/frontend/src/components/tagsSelectorComponent/index.tsx b/src/frontend/src/components/tagsSelectorComponent/index.tsx new file mode 100644 index 000000000..22cf19edc --- /dev/null +++ b/src/frontend/src/components/tagsSelectorComponent/index.tsx @@ -0,0 +1,111 @@ +import { useContext, useEffect, useRef, useState } from "react"; +import { darkContext } from "../../contexts/darkContext"; +import { cn } from "../../utils/utils"; +import { Badge } from "../ui/badge"; + +export function TagsSelector({ + tags, + disabled = false, + loadingTags, + selectedTags, + setSelectedTags, +}: { + tags: { id: string; name: string }[]; + disabled?: boolean; + loadingTags: boolean; + selectedTags: any[]; + setSelectedTags: (tags: any[]) => void; +}) { + const updateTags = (tagName: string) => { + const index = selectedTags.indexOf(tagName); + let newArray = + index === -1 + ? [...selectedTags, tagName] + : selectedTags.filter((_, i) => i !== index); + setSelectedTags(newArray); + }; + const { dark } = useContext(darkContext); + + const scrollContainerRef = useRef(null); + const fadeContainerRef = useRef(null); + const [divWidth, setDivWidth] = useState(0); + + useEffect(() => { + const handleResize = () => { + if (scrollContainerRef.current) { + setDivWidth(scrollContainerRef.current.clientWidth); + } + }; + + window.addEventListener("resize", handleResize); + handleResize(); // call the function at start to get the initial width + return () => window.removeEventListener("resize", handleResize); + }, []); + + useEffect(() => { + const handleScroll = () => { + if (!scrollContainerRef.current || !fadeContainerRef.current) return; + + const { scrollLeft, scrollWidth, clientWidth } = + scrollContainerRef.current; + const atStart = scrollLeft === 0; + const atEnd = scrollLeft === scrollWidth - clientWidth; + const isScrollable = scrollWidth > clientWidth; + + fadeContainerRef.current.classList.toggle( + "fade-left", + isScrollable && !atStart + ); + fadeContainerRef.current.classList.toggle( + "fade-right", + isScrollable && !atEnd + ); + }; + + const scrollContainer = scrollContainerRef.current; + if (scrollContainer) { + scrollContainer.addEventListener("scroll", handleScroll); + // Delay the initial scroll event dispatch to ensure correct calculation + scrollContainer.dispatchEvent(new Event("scroll")); + return () => scrollContainer.removeEventListener("scroll", handleScroll); + } + }, [divWidth, loadingTags]); // Depend on divWidth + + return ( +
+
+ {!loadingTags && + tags.map((tag, idx) => ( + + ))} +
+
+ ); +} diff --git a/src/frontend/src/components/textAreaComponent/index.tsx b/src/frontend/src/components/textAreaComponent/index.tsx index 0be68a294..efb7469c0 100644 --- a/src/frontend/src/components/textAreaComponent/index.tsx +++ b/src/frontend/src/components/textAreaComponent/index.tsx @@ -20,29 +20,38 @@ export default function TextAreaComponent({ }, [disabled]); return ( -
- + { - onChange(event.target.value); + setValue={(value: string) => { + onChange(value); }} - /> -
- { - onChange(value); - }} - > + > +
+ { + onChange(event.target.value); + }} + /> {!editNode && ( )} - -
+
+
); } diff --git a/src/frontend/src/components/ui/badge.tsx b/src/frontend/src/components/ui/badge.tsx index c101e3114..9b0fd8ff8 100644 --- a/src/frontend/src/components/ui/badge.tsx +++ b/src/frontend/src/components/ui/badge.tsx @@ -14,12 +14,14 @@ const badgeVariants = cva( "bg-secondary hover:bg-secondary/80 border-transparent text-secondary-foreground", destructive: "bg-destructive hover:bg-destructive/80 border-transparent text-destructive-foreground", - outline: "text-foreground", + outline: "text-primary/80 hover:bg-muted border-ring/60", }, size: { sm: "h-4 text-xs", md: "h-5 text-sm", lg: "h-6 text-base", + sq: "h-6 text-sm font-normal rounded-md", + xq: "h-5 text-xs font-normal rounded-md", }, }, defaultVariants: { diff --git a/src/frontend/src/components/ui/button.tsx b/src/frontend/src/components/ui/button.tsx index becc8d5f1..aa951b0bb 100644 --- a/src/frontend/src/components/ui/button.tsx +++ b/src/frontend/src/components/ui/button.tsx @@ -14,15 +14,16 @@ const buttonVariants = cva( outline: "border border-input hover:bg-accent hover:text-accent-foreground", primary: - "border bg-background text-secondary-foreground hover:bg-background/80 dark:hover:bg-background/10 hover:shadow-sm", + "border bg-background text-secondary-foreground hover:bg-secondary-foreground/5 dark:hover:bg-background/10 hover:shadow-sm", secondary: - "border border-muted bg-muted text-secondary-foreground hover:bg-secondary/80", + "border border-muted bg-muted text-secondary-foreground hover:bg-secondary-foreground/5", ghost: "hover:bg-accent hover:text-accent-foreground", link: "underline-offset-4 hover:underline text-primary", }, size: { default: "h-10 py-2 px-4", sm: "h-9 px-3 rounded-md", + xs: "py-1 px-1 rounded-md", lg: "h-11 px-8 rounded-md", }, }, diff --git a/src/frontend/src/components/ui/card.tsx b/src/frontend/src/components/ui/card.tsx index c904310cd..459396f46 100644 --- a/src/frontend/src/components/ui/card.tsx +++ b/src/frontend/src/components/ui/card.tsx @@ -8,7 +8,7 @@ const Card = React.forwardRef<
void; +}) { + const [open, setOpen] = React.useState(false); + const [value, setValue] = React.useState([]); + + React.useEffect(() => { + onChange(value); + }, [value]); + + return ( + + + + + + + + No filters found. + + {items.map((framework) => ( + { + setValue((old) => { + if (old.includes(currentValue)) { + return old.filter((item) => item !== currentValue); + } + return [...old, currentValue]; + }); + }} + > + + {framework.label} + + ))} + + + + + ); +} diff --git a/src/frontend/src/components/ui/command.tsx b/src/frontend/src/components/ui/command.tsx new file mode 100644 index 000000000..4d38757a6 --- /dev/null +++ b/src/frontend/src/components/ui/command.tsx @@ -0,0 +1,155 @@ +"use client"; + +import { type DialogProps } from "@radix-ui/react-dialog"; +import { Command as CommandPrimitive } from "cmdk"; +import { Search } from "lucide-react"; +import * as React from "react"; + +import { cn } from "../../utils/utils"; +import { Dialog, DialogContent } from "./dialog"; + +const Command = React.forwardRef< + React.ElementRef, + React.ComponentPropsWithoutRef +>(({ className, ...props }, ref) => ( + +)); +Command.displayName = CommandPrimitive.displayName; + +interface CommandDialogProps extends DialogProps {} + +const CommandDialog = ({ children, ...props }: CommandDialogProps) => { + return ( + + + + {children} + + + + ); +}; + +const CommandInput = React.forwardRef< + React.ElementRef, + React.ComponentPropsWithoutRef +>(({ className, ...props }, ref) => ( +
+ + +
+)); + +CommandInput.displayName = CommandPrimitive.Input.displayName; + +const CommandList = React.forwardRef< + React.ElementRef, + React.ComponentPropsWithoutRef +>(({ className, ...props }, ref) => ( + +)); + +CommandList.displayName = CommandPrimitive.List.displayName; + +const CommandEmpty = React.forwardRef< + React.ElementRef, + React.ComponentPropsWithoutRef +>((props, ref) => ( + +)); + +CommandEmpty.displayName = CommandPrimitive.Empty.displayName; + +const CommandGroup = React.forwardRef< + React.ElementRef, + React.ComponentPropsWithoutRef +>(({ className, ...props }, ref) => ( + +)); + +CommandGroup.displayName = CommandPrimitive.Group.displayName; + +const CommandSeparator = React.forwardRef< + React.ElementRef, + React.ComponentPropsWithoutRef +>(({ className, ...props }, ref) => ( + +)); +CommandSeparator.displayName = CommandPrimitive.Separator.displayName; + +const CommandItem = React.forwardRef< + React.ElementRef, + React.ComponentPropsWithoutRef +>(({ className, ...props }, ref) => ( + +)); + +CommandItem.displayName = CommandPrimitive.Item.displayName; + +const CommandShortcut = ({ + className, + ...props +}: React.HTMLAttributes) => { + return ( + + ); +}; +CommandShortcut.displayName = "CommandShortcut"; + +export { + Command, + CommandDialog, + CommandEmpty, + CommandGroup, + CommandInput, + CommandItem, + CommandList, + CommandSeparator, + CommandShortcut, +}; diff --git a/src/frontend/src/components/ui/select.tsx b/src/frontend/src/components/ui/select.tsx index c8586598f..7430a0d46 100644 --- a/src/frontend/src/components/ui/select.tsx +++ b/src/frontend/src/components/ui/select.tsx @@ -18,14 +18,14 @@ const SelectTrigger = React.forwardRef< {children} - + )); @@ -80,7 +80,7 @@ const SelectItem = React.forwardRef< {}, + setApiKey: () => {}, + apiKey: null, + storeApiKey: () => {}, }; export const AuthContext = createContext(initialValue); @@ -36,6 +39,10 @@ export function AuthProvider({ children }): React.ReactElement { const [userData, setUserData] = useState(null); const [autoLogin, setAutoLogin] = useState(false); const { setLoading } = useContext(alertContext); + const [apiKey, setApiKey] = useState( + cookies.get("apikey_tkn_lflw") + ); + useEffect(() => { const storedAccessToken = cookies.get("access_tkn_lflw"); if (storedAccessToken) { @@ -43,6 +50,13 @@ export function AuthProvider({ children }): React.ReactElement { } }, []); + useEffect(() => { + const apiKey = cookies.get("apikey_tkn_lflw"); + if (apiKey) { + setApiKey(apiKey); + } + }, []); + useEffect(() => { const isLoginPage = location.pathname.includes("login"); @@ -74,7 +88,7 @@ export function AuthProvider({ children }): React.ReactElement { setLoading(false); } }); - }, []); + }, [setUserData, setLoading, autoLogin, setIsAdmin]); function getAuthentication() { const storedRefreshToken = cookies.get("refresh_tkn_lflw"); @@ -94,6 +108,7 @@ export function AuthProvider({ children }): React.ReactElement { function logout() { cookies.remove("access_tkn_lflw", { path: "/" }); cookies.remove("refresh_tkn_lflw", { path: "/" }); + cookies.remove("apikey_tkn_lflw", { path: "/" }); setIsAdmin(false); setUserData(null); setAccessToken(null); @@ -101,6 +116,11 @@ export function AuthProvider({ children }): React.ReactElement { setIsAuthenticated(false); } + function storeApiKey(apikey: string) { + cookies.set("apikey_tkn_lflw", apikey, { path: "/" }); + setApiKey(apikey); + } + return ( // !! to convert string to boolean {children} diff --git a/src/frontend/src/contexts/flowsContext.tsx b/src/frontend/src/contexts/flowsContext.tsx index ca1c9f0d2..9c909831f 100644 --- a/src/frontend/src/contexts/flowsContext.tsx +++ b/src/frontend/src/contexts/flowsContext.tsx @@ -8,12 +8,18 @@ import { useRef, useState, } from "react"; -import { Edge, Node, ReactFlowJsonObject, addEdge } from "reactflow"; +import { + Edge, + Node, + ReactFlowJsonObject, + XYPosition, + addEdge, +} from "reactflow"; import ShortUniqueId from "short-unique-id"; -import { skipNodeUpdate } from "../constants/constants"; import { deleteFlowFromDatabase, downloadFlowsFromDatabase, + getVersion, readFlowsFromDatabase, saveFlowToDatabase, updateFlowInDatabase, @@ -28,17 +34,23 @@ import { sourceHandleType, targetHandleType, } from "../types/flow"; -import { FlowsContextType, TabsState } from "../types/tabs"; +import { FlowsContextType, FlowsState } from "../types/tabs"; import { addVersionToDuplicates, checkOldEdgesHandles, + createFlowComponent, + removeFileNameFromComponents, scapeJSONParse, scapedJSONStringfy, updateEdgesHandleIds, updateIds, updateTemplate, } from "../utils/reactflowUtils"; -import { getRandomDescription, getRandomName } from "../utils/utils"; +import { + createRandomKey, + getRandomDescription, + getRandomName, +} from "../utils/utils"; import { alertContext } from "./alertContext"; import { AuthContext } from "./authContext"; import { typesContext } from "./typesContext"; @@ -51,7 +63,11 @@ const FlowsContextInitialValue: FlowsContextType = { isLoading: true, flows: [], removeFlow: (id: string) => {}, - addFlow: async (newProject: boolean, flowData?: FlowType) => "", + addFlow: async ( + newProject: boolean, + flowData?: FlowType, + override?: boolean + ) => "", updateFlow: (newFlow: FlowType) => {}, incrementNodeId: () => uid(), downloadFlow: (flow: FlowType) => {}, @@ -65,7 +81,7 @@ const FlowsContextInitialValue: FlowsContextType = { lastCopiedSelection: null, setLastCopiedSelection: (selection: any) => {}, tabsState: {}, - setTabsState: (state: TabsState) => {}, + setTabsState: (state: FlowsState) => {}, getNodeId: (nodeType: string) => "", setTweak: (tweak: any) => {}, getTweak: [], @@ -73,29 +89,35 @@ const FlowsContextInitialValue: FlowsContextType = { selection: { nodes: any; edges: any }, position: { x: number; y: number; paneX?: number; paneY?: number } ) => {}, + saveComponent: async (component: NodeDataType, override: boolean) => "", + deleteComponent: (key: string) => {}, + version: "", + nodesOnFlow: "", + setNodesOnFlow: (nodes: string) => "", }; export const FlowsContext = createContext( FlowsContextInitialValue ); -export function TabsProvider({ children }: { children: ReactNode }) { +export function FlowsProvider({ children }: { children: ReactNode }) { const { setErrorData, setNoticeData, setSuccessData } = useContext(alertContext); const { getAuthentication, isAuthenticated } = useContext(AuthContext); const [tabId, setTabId] = useState(""); - const [isLoading, setIsLoading] = useState(true); + const [isLoading, setIsLoading] = useState(false); + const [nodesOnFlow, setNodesOnFlow] = useState(""); const [flows, setFlows] = useState>([]); const [id, setId] = useState(uid()); - const { templates, reactFlowInstance } = useContext(typesContext); + const { reactFlowInstance, setData, data } = useContext(typesContext); const [lastCopiedSelection, setLastCopiedSelection] = useState<{ nodes: any; edges: any; } | null>(null); - const [tabsState, setTabsState] = useState({}); + const [tabsState, setTabsState] = useState({}); const [getTweak, setTweak] = useState([]); useEffect(() => { @@ -113,9 +135,9 @@ export function TabsProvider({ children }: { children: ReactNode }) { function refreshFlows() { setIsLoading(true); getTabsDataFromDB().then((DbData) => { - if (DbData && Object.keys(templates).length > 0) { + if (DbData) { try { - processDBData(DbData); + processFlows(DbData, false); updateStateWithDbData(DbData); setIsLoading(false); } catch (e) {} @@ -127,25 +149,42 @@ export function TabsProvider({ children }: { children: ReactNode }) { // If the user is authenticated, fetch the types. This code is important to check if the user is auth because of the execution order of the useEffect hooks. if (getAuthentication() === true) { // get data from db - //get tabs locally saved - // let tabsData = getLocalStorageTabsData(); refreshFlows(); } - }, [templates, getAuthentication()]); + }, [getAuthentication(), tabId]); function getTabsDataFromDB() { //get tabs from db return readFlowsFromDatabase(); } - function processDBData(DbData: FlowType[]) { + function processFlows(DbData: FlowType[], skipUpdate = true) { + let savedComponents: { [key: string]: APIClassType } = {}; DbData.forEach((flow: FlowType) => { try { if (!flow.data) { return; } - processDataFromFlow(flow, false); - } catch (e) {} + if (flow.data && flow.is_component) { + (flow.data.nodes[0].data as NodeDataType).node!.display_name = + flow.name; + savedComponents[ + createRandomKey( + (flow.data.nodes[0].data as NodeDataType).type, + uid() + ) + ] = _.cloneDeep((flow.data.nodes[0].data as NodeDataType).node!); + return; + } + if (!skipUpdate) processDataFromFlow(flow, false); + } catch (e) { + console.log(e); + } + }); + setData((prev) => { + let newData = cloneDeep(prev); + newData["saved_components"] = cloneDeep(savedComponents); + return newData; }); } @@ -170,28 +209,6 @@ export function TabsProvider({ children }: { children: ReactNode }) { node.data.node!.documentation = template["documentation"]; } - function processFlowNodes(flow: FlowType) { - if (!flow.data || !flow.data.nodes) return; - flow.data.nodes.forEach((node: NodeType) => { - if (node.data.node?.flow) return; - if (skipNodeUpdate.includes(node.data.type)) return; - const template = templates[node.data.type]; - if (!template) { - setErrorData({ title: `Unknown node type: ${node.data.type}` }); - return; - } - if (Object.keys(template["template"]).length > 0) { - updateDisplay_name(node, template); - updateNodeBaseClasses(node, template); - //update baseclasses in edges - updateNodeEdges(flow, node, template); - updateNodeDescription(node, template); - updateNodeTemplate(node, template); - updateNodeDocumentation(node, template); - } - }); - } - function updateNodeBaseClasses(node: NodeType, template: APIClassType) { node.data.node!.base_classes = template["base_classes"]; } @@ -244,9 +261,15 @@ export function TabsProvider({ children }: { children: ReactNode }) { flowName: string, flowDescription?: string ) { + let clonedFlow = cloneDeep(flow); + removeFileNameFromComponents(clonedFlow); // create a data URI with the current flow data const jsonString = `data:text/json;chatset=utf-8,${encodeURIComponent( - JSON.stringify({ ...flow, name: flowName, description: flowDescription }) + JSON.stringify({ + ...clonedFlow, + name: flowName, + description: flowDescription, + }) )}`; // create a link element and set its properties @@ -287,46 +310,70 @@ export function TabsProvider({ children }: { children: ReactNode }) { * If the file type is application/json, the file is read and parsed into a JSON object. * The resulting JSON object is passed to the addFlow function. */ - async function uploadFlow( - newProject: boolean, - file?: File - ): Promise { - let id; - if (file) { - let text = await file.text(); - let fileData = JSON.parse(text); - if (fileData.flows) { - fileData.flows.forEach((flow: FlowType) => { - id = addFlow(newProject, flow); - }); - } - // parse the text into a JSON object - let flow: FlowType = JSON.parse(text); - - id = await addFlow(newProject, flow); - } else { - // create a file input - const input = document.createElement("input"); - input.type = "file"; - input.accept = ".json"; - // add a change event listener to the file input - id = await new Promise((resolve) => { + async function uploadFlow({ + newProject, + file, + isComponent = false, + position = { x: 10, y: 10 }, + }: { + newProject: boolean; + file?: File; + isComponent?: boolean; + position?: XYPosition; + }): Promise { + return new Promise(async (resolve, reject) => { + let id; + if (file) { + let text = await file.text(); + let fileData = JSON.parse(text); + if ( + newProject && + ((!fileData.is_component && isComponent === true) || + (fileData.is_component !== undefined && + fileData.is_component !== isComponent)) + ) { + reject("You cannot upload a component as a flow or vice versa"); + } else { + if (fileData.flows) { + fileData.flows.forEach((flow: FlowType) => { + id = addFlow(newProject, flow, undefined, position); + }); + resolve(""); + } else { + id = await addFlow(newProject, fileData, undefined, position); + resolve(id); + } + } + } else { + // create a file input + const input = document.createElement("input"); + input.type = "file"; + input.accept = ".json"; + // add a change event listener to the file input input.onchange = async (e: Event) => { if ( (e.target as HTMLInputElement).files![0].type === "application/json" ) { const currentfile = (e.target as HTMLInputElement).files![0]; let text = await currentfile.text(); - let flow: FlowType = JSON.parse(text); - const flowId = await addFlow(newProject, flow); - resolve(flowId); + let fileData: FlowType = await JSON.parse(text); + + if ( + (!fileData.is_component && isComponent === true) || + (fileData.is_component !== undefined && + fileData.is_component !== isComponent) + ) { + reject("You cannot upload a component as a flow or vice versa"); + } else { + id = await addFlow(newProject, fileData); + resolve(id); + } } }; // trigger the file input click event to open the file dialog input.click(); - }); - } - return id; + } + }); } function uploadFlows() { @@ -357,12 +404,13 @@ export function TabsProvider({ children }: { children: ReactNode }) { * Updates the state of flows and tabIndex using setFlows and setTabIndex hooks. * @param {string} id - The id of the flow to remove. */ - function removeFlow(id: string) { + async function removeFlow(id: string) { const index = flows.findIndex((flow) => flow.id === id); if (index >= 0) { - deleteFlowFromDatabase(id).then(() => { - setFlows(flows.filter((flow) => flow.id !== id)); - }); + await deleteFlowFromDatabase(id); + //removes component from data if there is any + setFlows(flows.filter((flow) => flow.id !== id)); + processFlows(flows.filter((flow) => flow.id !== id)); } } /** @@ -389,7 +437,10 @@ export function TabsProvider({ children }: { children: ReactNode }) { const insidePosition = position.paneX ? { x: position.paneX + position.x, y: position.paneY! + position.y } - : reactFlowInstance!.project({ x: position.x, y: position.y }); + : reactFlowInstance!.screenToFlowPosition({ + x: position.x, + y: position.y, + }); selectionInstance.nodes.forEach((node: NodeType) => { // Generate a unique node ID @@ -470,7 +521,9 @@ export function TabsProvider({ children }: { children: ReactNode }) { const addFlow = async ( newProject: Boolean, - flow?: FlowType + flow?: FlowType, + override?: boolean, + position?: XYPosition ): Promise => { if (newProject) { let flowData = flow @@ -478,12 +531,21 @@ export function TabsProvider({ children }: { children: ReactNode }) { : { nodes: [], edges: [], viewport: { zoom: 1, x: 0, y: 0 } }; // Create a new flow with a default name if no flow is provided. + + if (override) { + deleteComponent(flow!.name); + const newFlow = createNewFlow(flowData, flow!); + const { id } = await saveFlowToDatabase(newFlow); + newFlow.id = id; + addFlowToLocalState(newFlow); + return; + } + const newFlow = createNewFlow(flowData, flow!); - const flowName = addVersionToDuplicates(newFlow, flows); - - newFlow.name = flowName; + const newName = addVersionToDuplicates(newFlow, flows); + newFlow.name = newName; try { const { id } = await saveFlowToDatabase(newFlow); // Change the id to the new id. @@ -501,7 +563,7 @@ export function TabsProvider({ children }: { children: ReactNode }) { } else { paste( { nodes: flow!.data!.nodes, edges: flow!.data!.edges }, - { x: 10, y: 10 } + position ?? { x: 10, y: 10 } ); } }; @@ -522,46 +584,17 @@ export function TabsProvider({ children }: { children: ReactNode }) { }; const updateEdges = (edges: Edge[]) => { - edges.forEach((edge) => { - const targetHandleObject: targetHandleType = scapeJSONParse( - edge.targetHandle! - ); - edge.className = - (targetHandleObject.type === "Text" - ? "stroke-gray-800 " - : "stroke-gray-900 ") + " stroke-connection"; - edge.animated = targetHandleObject.type === "Text"; - }); - }; - - const updateNodes = (nodes: Node[], edges: Edge[]) => { - nodes.forEach((node) => { - if (node.data.node?.flow) return; - if (skipNodeUpdate.includes(node.data.type)) return; - const template = templates[node.data.type]; - if (!template) { - setErrorData({ title: `Unknown node type: ${node.data.type}` }); - return; - } - if (Object.keys(template["template"]).length > 0) { - node.data.node.base_classes = template["base_classes"]; - edges.forEach((edge) => { - let sourceHandleObject: sourceHandleType = scapeJSONParse( - edge.sourceHandle! - ); - if (edge.source === node.id) { - let newSourceHandle = sourceHandleObject; - newSourceHandle.baseClasses.concat(template["base_classes"]); - edge.sourceHandle = scapedJSONStringfy(newSourceHandle); - } - }); - node.data.node.description = template["description"]; - node.data.node.template = updateTemplate( - template["template"] as unknown as APITemplateType, - node.data.node.template as APITemplateType + if (edges) + edges.forEach((edge) => { + const targetHandleObject: targetHandleType = scapeJSONParse( + edge.targetHandle! ); - } - }); + edge.className = + (targetHandleObject.type === "Text" + ? "stroke-gray-800 " + : "stroke-gray-900 ") + " stroke-connection"; + edge.animated = targetHandleObject.type === "Text"; + }); }; const createNewFlow = ( @@ -572,12 +605,17 @@ export function TabsProvider({ children }: { children: ReactNode }) { name: flow?.name ?? getRandomName(), data: flowData, id: "", + is_component: flow?.is_component ?? false, }); const addFlowToLocalState = (newFlow: FlowType) => { + let newFlows: FlowType[] = []; setFlows((prevState) => { + newFlows = newFlows.concat(prevState); + newFlows.push(newFlow); return [...prevState, newFlow]; }); + processFlows(newFlows); }; /** @@ -593,11 +631,16 @@ export function TabsProvider({ children }: { children: ReactNode }) { newFlows[index].data = newFlow.data; newFlows[index].name = newFlow.name; } + newFlow = { + ...newFlow, + }; return newFlows; }); } async function saveFlow(newFlow: FlowType, silent?: boolean) { + if (newFlow?.data?.nodes?.length === 0) return; + try { // updates flow in db const updatedFlow = await updateFlowInDatabase(newFlow); @@ -626,6 +669,8 @@ export function TabsProvider({ children }: { children: ReactNode }) { }, }; }); + + console.log(tabsState); } } catch (err) { setErrorData({ @@ -635,11 +680,35 @@ export function TabsProvider({ children }: { children: ReactNode }) { } } + function saveComponent(component: NodeDataType, override: boolean) { + component.node!.official = false; + return addFlow(true, createFlowComponent(component, version), override); + } + + function deleteComponent(key: string) { + let componentFlow = flows.find( + (componentFlow) => + componentFlow.is_component && componentFlow.name === key + ); + + if (componentFlow) { + removeFlow(componentFlow.id); + } + } + const [isBuilt, setIsBuilt] = useState(false); + // Initialize state variable for the version + const [version, setVersion] = useState(""); + useEffect(() => { + getVersion().then((data) => { + setVersion(data.version); + }); + }, []); return ( {children} diff --git a/src/frontend/src/contexts/index.tsx b/src/frontend/src/contexts/index.tsx index b98dae430..e61102846 100644 --- a/src/frontend/src/contexts/index.tsx +++ b/src/frontend/src/contexts/index.tsx @@ -7,8 +7,10 @@ import { SSEProvider } from "./SSEContext"; import { AlertProvider } from "./alertContext"; import { AuthProvider } from "./authContext"; import { DarkProvider } from "./darkContext"; -import { TabsProvider } from "./flowsContext"; +import { FlowsProvider } from "./flowsContext"; import { LocationProvider } from "./locationContext"; +import { StoreProvider } from "./storeContext"; + import { TypesProvider } from "./typesContext"; import { UndoRedoProvider } from "./undoRedoContext"; @@ -26,9 +28,11 @@ export default function ContextWrapper({ children }: { children: ReactNode }) { - - {children} - + + + {children} + + diff --git a/src/frontend/src/contexts/storeContext.tsx b/src/frontend/src/contexts/storeContext.tsx new file mode 100644 index 000000000..d78a5aa1b --- /dev/null +++ b/src/frontend/src/contexts/storeContext.tsx @@ -0,0 +1,74 @@ +import { createContext, useContext, useEffect, useState } from "react"; +import { checkHasApiKey, checkHasStore } from "../controllers/API"; +import { storeContextType } from "../types/contexts/store"; +import { AuthContext } from "./authContext"; + +//store context to share user components and update them +const initialValue = { + hasStore: true, + setHasStore: () => {}, + validApiKey: false, + setValidApiKey: () => {}, + hasApiKey: false, + setHasApiKey: () => {}, + loadingApiKey: true, +}; + +export const StoreContext = createContext(initialValue); + +export function StoreProvider({ children }) { + const [hasStore, setHasStore] = useState(false); + const [loadingApiKey, setLoadingApiKey] = useState(true); + const [hasApiKey, setHasApiKey] = useState(true); + const [validApiKey, setValidApiKey] = useState(false); + const [storeChecked, setStoreChecked] = useState(false); + const { apiKey } = useContext(AuthContext); + + useEffect(() => { + const fetchStoreData = async () => { + try { + if (storeChecked) return; + const res = await checkHasStore(); + setHasStore(res?.enabled ?? false); + setStoreChecked(true); + } catch (e) { + console.log(e); + } + }; + + fetchStoreData(); + }, []); + + const fetchApiData = async () => { + setLoadingApiKey(true); + try { + const res = await checkHasApiKey(); + setHasApiKey(res?.has_api_key ?? false); + setValidApiKey(res?.is_valid ?? false); + setLoadingApiKey(false); + } catch (e) { + setLoadingApiKey(false); + console.log(e); + } + }; + + useEffect(() => { + fetchApiData(); + }, [storeChecked, apiKey]); + + return ( + + {children} + + ); +} diff --git a/src/frontend/src/contexts/typesContext.tsx b/src/frontend/src/contexts/typesContext.tsx index 0ec5eaa3b..b806389d4 100644 --- a/src/frontend/src/contexts/typesContext.tsx +++ b/src/frontend/src/contexts/typesContext.tsx @@ -1,3 +1,4 @@ +import _ from "lodash"; import { createContext, ReactNode, @@ -5,7 +6,7 @@ import { useEffect, useState, } from "react"; -import { Edge, Node, ReactFlowInstance } from "reactflow"; +import { ReactFlowInstance } from "reactflow"; import { getAll, getHealth } from "../controllers/API"; import { APIKindType } from "../types/api"; import { typesContextType } from "../types/typesContext"; @@ -59,11 +60,13 @@ export function TypesProvider({ children }: { children: ReactNode }) { // Make sure to only update the state if the component is still mounted. if (isMounted && result?.status === 200) { setLoading(false); - setData(result.data); + let { data } = _.cloneDeep(result); + setData((old) => ({ ...old, ...data })); setTemplates( - Object.keys(result.data).reduce((acc, curr) => { - Object.keys(result.data[curr]).forEach((c: keyof APIKindType) => { - acc[c] = result.data[curr][c]; + Object.keys(data).reduce((acc, curr) => { + Object.keys(data[curr]).forEach((c: keyof APIKindType) => { + //prevent wrong overwriting of the component template by a group of the same type + if (!data[curr][c].flow) acc[c] = data[curr][c]; }); return acc; }, {}) @@ -71,13 +74,13 @@ export function TypesProvider({ children }: { children: ReactNode }) { // Set the types by reducing over the keys of the result data and updating the accumulator. setTypes( // Reverse the keys so the tool world does not overlap - Object.keys(result.data) + Object.keys(data) .reverse() .reduce((acc, curr) => { - Object.keys(result.data[curr]).forEach((c: keyof APIKindType) => { + Object.keys(data[curr]).forEach((c: keyof APIKindType) => { acc[c] = curr; // Add the base classes to the accumulator as well. - result.data[curr][c].base_classes?.forEach((b) => { + data[curr][c].base_classes?.forEach((b) => { acc[b] = curr; }); }); @@ -87,6 +90,7 @@ export function TypesProvider({ children }: { children: ReactNode }) { } } catch (error) { console.error("An error has occurred while fetching types."); + console.log(error); await getHealth().catch((e) => { setFetchError(true); }); @@ -94,31 +98,25 @@ export function TypesProvider({ children }: { children: ReactNode }) { } function deleteNode(idx: string | Array) { - reactFlowInstance!.setNodes( - reactFlowInstance! - .getNodes() - .filter((node: Node) => - typeof idx === "string" ? node.id !== idx : !idx.includes(node.id) - ) - ); - reactFlowInstance!.setEdges( - reactFlowInstance! - .getEdges() - .filter((edge) => - typeof idx === "string" - ? edge.source !== idx && edge.target !== idx - : !idx.includes(edge.source) && !idx.includes(edge.target) - ) - ); + if (reactFlowInstance === null) return; + const edges = reactFlowInstance! + .getEdges() + .filter((edge) => + typeof idx === "string" + ? edge.source == idx || edge.target == idx + : idx.includes(edge.source) || idx.includes(edge.target) + ); + reactFlowInstance!.deleteElements({ + nodes: + typeof idx === "string" ? [{ id: idx }] : idx.map((id) => ({ id })), + edges, + }); } function deleteEdge(idx: string | Array) { - reactFlowInstance!.setEdges( - reactFlowInstance! - .getEdges() - .filter((edge: Edge) => - typeof idx === "string" ? edge.id !== idx : !idx.includes(edge.id) - ) - ); + reactFlowInstance!.deleteElements({ + edges: + typeof idx === "string" ? [{ id: idx }] : idx.map((id) => ({ id })), + }); } return ( diff --git a/src/frontend/src/contexts/undoRedoContext.tsx b/src/frontend/src/contexts/undoRedoContext.tsx index a948e37e3..f02be6257 100644 --- a/src/frontend/src/contexts/undoRedoContext.tsx +++ b/src/frontend/src/contexts/undoRedoContext.tsx @@ -52,15 +52,23 @@ export function UndoRedoProvider({ children }) { const takeSnapshot = useCallback(() => { // push the current graph to the past state - setPast((old) => { - let newPast = cloneDeep(old); - newPast[tabIndex] = old[tabIndex].slice( - old[tabIndex].length - defaultOptions.maxHistorySize + 1, - old[tabIndex].length + let newPast = cloneDeep(past); + let newState = { + nodes: cloneDeep(getNodes()), + edges: cloneDeep(getEdges()), + }; + if ( + past[tabIndex] && + JSON.stringify(past[tabIndex][past[tabIndex].length - 1]) !== + JSON.stringify(newState) + ) { + newPast[tabIndex] = past[tabIndex].slice( + past[tabIndex].length - defaultOptions.maxHistorySize + 1, + past[tabIndex].length ); - newPast[tabIndex].push({ nodes: getNodes(), edges: getEdges() }); - return newPast; - }); + newPast[tabIndex].push(newState); + } + setPast(newPast); // whenever we take a new snapshot, the redo operations need to be cleared to avoid state mismatches setFuture((old) => { diff --git a/src/frontend/src/controllers/API/index.ts b/src/frontend/src/controllers/API/index.ts index f66233afd..4bcdf2779 100644 --- a/src/frontend/src/controllers/API/index.ts +++ b/src/frontend/src/controllers/API/index.ts @@ -4,6 +4,7 @@ import { BASE_URL_API } from "../../constants/constants"; import { api } from "../../controllers/API/api"; import { APIObjectType, + Component, LoginType, Users, changeUser, @@ -12,6 +13,7 @@ import { } from "../../types/api/index"; import { UserInputType } from "../../types/components"; import { FlowStyleType, FlowType } from "../../types/flow"; +import { StoreComponentResponse } from "../../types/store"; import { APIClassType, BuildStatusTypeAPI, @@ -112,12 +114,14 @@ export async function saveFlowToDatabase(newFlow: { data: ReactFlowJsonObject | null; description: string; style?: FlowStyleType; + is_component?: boolean; }): Promise { try { const response = await api.post(`${BASE_URL_API}flows/`, { name: newFlow.name, data: newFlow.data, description: newFlow.description, + is_component: newFlow.is_component, }); if (response.status !== 201) { @@ -353,7 +357,21 @@ export async function postCustomComponent( code: string, apiClass: APIClassType ): Promise> { - return await api.post(`${BASE_URL_API}custom_component`, { code }); + let template = apiClass.template; + return await api.post(`${BASE_URL_API}custom_component`, { + code, + template, + }); +} + +export async function postCustomComponentUpdate( + code: string, + field: string +): Promise> { + return await api.post(`${BASE_URL_API}custom_component/update`, { + code, + field, + }); } export async function onLogin(user: LoginType) { @@ -522,3 +540,280 @@ export async function deleteApiKey(api_key: string) { throw error; } } + +export async function addApiKeyStore(key: string) { + try { + const res = await api.post(`${BASE_URL_API}api_key/store`, { + api_key: key, + }); + if (res.status === 200) { + return res.data; + } + } catch (error) { + console.log("Error:", error); + throw error; + } +} + +/** + * Saves a new flow to the database. + * + * @param {FlowType} newFlow - The flow data to save. + * @returns {Promise} The saved flow data. + * @throws Will throw an error if saving fails. + */ +export async function saveFlowStore( + newFlow: { + name?: string; + data: ReactFlowJsonObject | null; + description?: string; + style?: FlowStyleType; + is_component?: boolean; + parent?: string; + last_tested_version?: string; + }, + tags: string[], + publicFlow = false +): Promise { + try { + const response = await api.post(`${BASE_URL_API}store/components/`, { + name: newFlow.name, + data: newFlow.data, + description: newFlow.description, + is_component: newFlow.is_component, + parent: newFlow.parent, + tags: tags, + private: !publicFlow, + status: publicFlow ? "Public" : "Private", + last_tested_version: newFlow.last_tested_version, + }); + + if (response.status !== 201) { + throw new Error(`HTTP error! status: ${response.status}`); + } + return response.data; + } catch (error) { + console.error(error); + throw error; + } +} + +/** + * Fetches the flows from the store. + * @returns {Promise<>} A promise that resolves to an AxiosResponse containing the build status. + * + */ +export async function getFlowsStore(): Promise> { + return await api.get(`${BASE_URL_API}store/`); +} + +export async function getStoreComponents({ + component_id = null, + page = 1, + limit = 9999999, + is_component = null, + sort = "-count(liked_by)", + tags = [] || null, + liked = null, + isPrivate = null, + search = null, + filterByUser = null, + fields = null, +}: { + component_id?: string | null; + page?: number; + limit?: number; + is_component?: boolean | null; + sort?: string; + tags?: string[] | null; + liked?: boolean | null; + isPrivate?: boolean | null; + search?: string | null; + filterByUser?: boolean | null; + fields?: Array | null; +}): Promise { + try { + let url = `${BASE_URL_API}store/components/`; + const queryParams: any = []; + if (component_id !== undefined && component_id !== null) { + queryParams.push(`component_id=${component_id}`); + } + if (search !== undefined && search !== null) { + queryParams.push(`search=${search}`); + } + if (isPrivate !== undefined && isPrivate !== null) { + queryParams.push(`private=${isPrivate}`); + } + if (tags !== undefined && tags !== null && tags.length > 0) { + queryParams.push(`tags=${tags.join(encodeURIComponent(","))}`); + } + if (fields !== undefined && fields !== null && fields.length > 0) { + queryParams.push(`fields=${fields.join(encodeURIComponent(","))}`); + } + + if (sort !== undefined && sort !== null) { + queryParams.push(`sort=${sort}`); + } else { + queryParams.push(`sort=-count(liked_by)`); // default sort + } + + if (liked !== undefined && liked !== null) { + queryParams.push(`liked=${liked}`); + } + + if (filterByUser !== undefined && filterByUser !== null) { + queryParams.push(`filter_by_user=${filterByUser}`); + } + + if (page !== undefined) { + queryParams.push(`page=${page ?? 1}`); + } + if (limit !== undefined) { + queryParams.push(`limit=${limit ?? 9999999}`); + } + if (is_component !== null && is_component !== undefined) { + queryParams.push(`is_component=${is_component}`); + } + if (queryParams.length > 0) { + url += `?${queryParams.join("&")}`; + } + + const res = await api.get(url); + + if (res.status === 200) { + return res.data; + } + } catch (error) { + console.log("Error:", error); + throw error; + } +} + +export async function postStoreComponents(component: Component) { + try { + const res = await api.post(`${BASE_URL_API}store/components/`, component); + if (res.status === 200) { + return res.data; + } + } catch (error) { + console.log("Error:", error); + throw error; + } +} + +export async function getComponent(component_id: string) { + try { + const res = await api.get( + `${BASE_URL_API}store/components/${component_id}` + ); + if (res.status === 200) { + return res.data; + } + } catch (error) { + console.log("Error:", error); + throw error; + } +} + +export async function searchComponent( + query: string | null, + page?: number | null, + limit?: number | null, + status?: string | null, + tags?: string[] +): Promise { + try { + let url = `${BASE_URL_API}store/components/`; + const queryParams: any = []; + if (query !== undefined && query !== null) { + queryParams.push(`search=${query}`); + } + if (page !== undefined && page !== null) { + queryParams.push(`page=${page}`); + } + if (limit !== undefined && limit !== null) { + queryParams.push(`limit=${limit}`); + } + if (status !== undefined && status !== null) { + queryParams.push(`status=${status}`); + } + if (tags !== undefined && tags !== null) { + queryParams.push(`tags=${tags}`); + } + if (queryParams.length > 0) { + url += `?${queryParams.join("&")}`; + } + + const res = await api.get(url); + + if (res.status === 200) { + return res.data; + } + } catch (error) { + console.log("Error:", error); + throw error; + } +} + +export async function checkHasApiKey() { + try { + const res = await api.get(`${BASE_URL_API}store/check/api_key`); + if (res?.status === 200) { + return res.data; + } + } catch (error) { + console.log("Error:", error); + throw error; + } +} + +export async function checkHasStore() { + try { + const res = await api.get(`${BASE_URL_API}store/check/`); + if (res?.status === 200) { + return res.data; + } + } catch (error) { + console.log("Error:", error); + throw error; + } +} + +export async function getCountComponents(is_component?: boolean | null) { + try { + let url = `${BASE_URL_API}store/components/count`; + const queryParams: any = []; + if (is_component !== undefined) { + queryParams.push(`is_component=${is_component}`); + } + + if (queryParams.length > 0) { + url += `?${queryParams.join("&")}`; + } + + const res = await api.get(url); + + if (res.status === 200) { + return res.data; + } + } catch (error) { + console.log("Error:", error); + throw error; + } +} + +export async function getStoreTags() { + try { + const res = await api.get(`${BASE_URL_API}store/tags`); + if (res.status === 200) { + return res.data; + } + } catch (error) { + console.log("Error:", error); + throw error; + } +} + +export const postLikeComponent = (componentId: string) => { + return api.post(`${BASE_URL_API}store/users/likes/${componentId}`); +}; diff --git a/src/frontend/src/icons/GradientSparkles/index.tsx b/src/frontend/src/icons/GradientSparkles/index.tsx index 6be7e7576..470708f89 100644 --- a/src/frontend/src/icons/GradientSparkles/index.tsx +++ b/src/frontend/src/icons/GradientSparkles/index.tsx @@ -1,7 +1,8 @@ -import { InfinityIcon } from "lucide-react"; +import { Code } from "lucide-react"; import { forwardRef } from "react"; +import ForwardedIconComponent from "../../components/genericIconComponent"; -export const GradientSparkles = forwardRef< +export const GradientInfinity = forwardRef< SVGSVGElement, React.PropsWithChildren<{}> >((props, ref) => { @@ -15,7 +16,63 @@ export const GradientSparkles = forwardRef< - + ); }); + +export const GradientSave = forwardRef< + SVGSVGElement, + React.PropsWithChildren<{}> +>((props, ref) => { + return ( + <> + + + + + + + + + + + ); +}); + +export const GradientGroup = (props) => { + return ( + <> + + + + + + + + + + + ); +}; + +export const GradientUngroup = (props) => { + return ( + <> + + + + + + + + + + + ); +}; diff --git a/src/frontend/src/modals/ApiModal/index.tsx b/src/frontend/src/modals/ApiModal/index.tsx index dde0090c1..93d85549d 100644 --- a/src/frontend/src/modals/ApiModal/index.tsx +++ b/src/frontend/src/modals/ApiModal/index.tsx @@ -13,7 +13,10 @@ import { // import "ace-builds/webpack-resolver"; import CodeTabsComponent from "../../components/codeTabsComponent"; import IconComponent from "../../components/genericIconComponent"; -import { EXPORT_CODE_DIALOG } from "../../constants/constants"; +import { + EXPORT_CODE_DIALOG, + LANGFLOW_SUPPORTED_TYPES, +} from "../../constants/constants"; import { AuthContext } from "../../contexts/authContext"; import { FlowsContext } from "../../contexts/flowsContext"; import { TemplateVariableType } from "../../types/api"; @@ -99,15 +102,9 @@ const ApiModal = forwardRef( (templateField) => templateField.charAt(0) !== "_" && node.data.node.template[templateField].show && - (node.data.node.template[templateField].type === "str" || - node.data.node.template[templateField].type === "bool" || - node.data.node.template[templateField].type === "float" || - node.data.node.template[templateField].type === "code" || - node.data.node.template[templateField].type === "prompt" || - node.data.node.template[templateField].type === "file" || - node.data.node.template[templateField].type === "int" || - node.data.node.template[templateField].type === "dict" || - node.data.node.template[templateField].type === "NestedDict") + LANGFLOW_SUPPORTED_TYPES.has( + node.data.node.template[templateField].type + ) ) .map((n, i) => { arrNodesWithValues.push(node["id"]); @@ -146,9 +143,9 @@ const ApiModal = forwardRef( ); if (existingTweak) { - existingTweak[tw][template["name"]] = changes as string; + existingTweak[tw][template["name"]!] = changes as string; - if (existingTweak[tw][template["name"]] == template.value) { + if (existingTweak[tw][template["name"]!] == template.value) { tweak.current.forEach((element) => { if (element[tw] && Object.keys(element[tw])?.length === 0) { tweak.current = tweak.current.filter((obj) => { @@ -161,7 +158,7 @@ const ApiModal = forwardRef( } else { const newTweak = { [tw]: { - [template["name"]]: changes, + [template["name"]!]: changes, }, } as uniqueTweakType; tweak.current.push(newTweak); diff --git a/src/frontend/src/modals/ConfirmationModal/index.tsx b/src/frontend/src/modals/ConfirmationModal/index.tsx index 08a1298ae..11d711912 100644 --- a/src/frontend/src/modals/ConfirmationModal/index.tsx +++ b/src/frontend/src/modals/ConfirmationModal/index.tsx @@ -1,30 +1,65 @@ -import { useState } from "react"; +import React, { useEffect, useState } from "react"; +import ShadTooltip from "../../components/ShadTooltipComponent"; import { Button } from "../../components/ui/button"; -import { ConfirmationModalType } from "../../types/components"; +import { ConfirmationModalType, ContentProps } from "../../types/components"; import { nodeIconsLucide } from "../../utils/styleUtils"; import BaseModal from "../baseModal"; -export default function ConfirmationModal({ +const Content: React.FC = ({ children }) => { + return
{children}
; +}; +const Trigger: React.FC = ({ + children, + tolltipContent, + side, +}) => { + return tolltipContent ? ( + +
{children}
+ + ) : ( +
{children}
+ ); +}; +function ConfirmationModal({ title, asChild, titleHeader, - modalContent, modalContentTitle, cancelText, confirmationText, children, + destructive = false, icon, data, index, onConfirm, + size, + open, + onClose, + onCancel, }: ConfirmationModalType) { const Icon: any = nodeIconsLucide[icon]; + const [modalOpen, setModalOpen] = useState(open ?? false); + + useEffect(() => { + if (open) setModalOpen(open); + }, [open]); + + useEffect(() => { + if (onClose) onClose!(modalOpen); + }, [modalOpen]); + const triggerChild = React.Children.toArray(children).find( + (child) => (child as React.ReactElement).type === Trigger + ); + const ContentChild = React.Children.toArray(children).find( + (child) => (child as React.ReactElement).type === Content + ); - const [open, setOpen] = useState(false); return ( - - {children} - + + {triggerChild} + {title} - {modalContentTitle != "" && ( + {modalContentTitle && modalContentTitle != "" && ( <> {modalContentTitle}

)} - {modalContent} + {ContentChild} + + + + + + + ); +} diff --git a/src/frontend/src/modals/EditNodeModal/index.tsx b/src/frontend/src/modals/EditNodeModal/index.tsx index 6466d19b9..1e9888d96 100644 --- a/src/frontend/src/modals/EditNodeModal/index.tsx +++ b/src/frontend/src/modals/EditNodeModal/index.tsx @@ -1,12 +1,5 @@ import { cloneDeep } from "lodash"; -import { - ReactNode, - forwardRef, - useContext, - useEffect, - useRef, - useState, -} from "react"; +import { forwardRef, useContext, useEffect, useState } from "react"; import { useUpdateNodeInternals } from "reactflow"; import ShadTooltip from "../../components/ShadTooltipComponent"; import CodeAreaComponent from "../../components/codeAreaComponent"; @@ -32,7 +25,10 @@ import { TableHeader, TableRow, } from "../../components/ui/table"; -import { limitScrollFieldsModal } from "../../constants/constants"; +import { + LANGFLOW_SUPPORTED_TYPES, + limitScrollFieldsModal, +} from "../../constants/constants"; import { FlowsContext } from "../../contexts/flowsContext"; import { typesContext } from "../../contexts/typesContext"; import { NodeDataType } from "../../types/flow"; @@ -41,6 +37,7 @@ import { convertObjToArray, convertValuesToNumbers, hasDuplicateKeys, + scapedJSONStringfy, } from "../../utils/reactflowUtils"; import { classNames } from "../../utils/utils"; import BaseModal from "../baseModal"; @@ -49,70 +46,66 @@ const EditNodeModal = forwardRef( ( { data, - setData, nodeLength, - children, open, - onClose, + setOpen, }: { data: NodeDataType; - setData: (data: NodeDataType) => void; nodeLength: number; - children: ReactNode; - open?: boolean; - onClose?: (close: boolean) => void; + open: boolean; + setOpen: (open: boolean) => void; }, ref ) => { - const [modalOpen, setModalOpen] = useState(open ?? false); const updateNodeInternals = useUpdateNodeInternals(); - const myData = useRef(data); + const [myData, setMyData] = useState(data); const { setTabsState, tabId } = useContext(FlowsContext); const { reactFlowInstance } = useContext(typesContext); - let disabled = - reactFlowInstance - ?.getEdges() - .some((edge) => edge.targetHandle === data.id) ?? false; function changeAdvanced(n) { - myData.current.node!.template[n].advanced = - !myData.current.node!.template[n].advanced; - setAdv(!adv); + setMyData((old) => { + let newData = cloneDeep(old); + newData.node!.template[n].advanced = + !newData.node!.template[n].advanced; + return newData; + }); } const handleOnNewValue = (newValue: any, name) => { - myData.current.node!.template[name].value = newValue; - setDataValue(newValue); + setMyData((old) => { + let newData = cloneDeep(old); + newData.node!.template[name].value = newValue; + return newData; + }); updateNodeInternals(data.id); }; useEffect(() => { - if (modalOpen) { - myData.current = data; // reset data to what it is on node when opening modal - onClose!(modalOpen); + if (open) { + setMyData(data); // reset data to what it is on node when opening modal } - }, [modalOpen]); + }, [open]); const [errorDuplicateKey, setErrorDuplicateKey] = useState(false); - const [adv, setAdv] = useState(null); - const [dataValue, setDataValue] = useState(data); return ( { - myData.current = data; + setMyData(data); }} > - {children} - - {myData.current.type} - ID: {myData.current.id} + + <> + + + {myData.type} + ID: {myData.id}
@@ -129,7 +122,7 @@ const EditNodeModal = forwardRef( "edit-node-modal-box", nodeLength > limitScrollFieldsModal ? "overflow-scroll overflow-x-hidden custom-scroll" - : "overflow-hidden" + : "" )} > {nodeLength > 0 && ( @@ -145,387 +138,379 @@ const EditNodeModal = forwardRef( - {Object.keys(myData.current.node!.template) + {Object.keys(myData.node!.template) .filter( (templateParam) => templateParam.charAt(0) !== "_" && - myData.current.node?.template[templateParam].show && - (myData.current.node.template[templateParam] - .type === "str" || - myData.current.node.template[templateParam] - .type === "bool" || - myData.current.node.template[templateParam] - .type === "float" || - myData.current.node.template[templateParam] - .type === "code" || - myData.current.node.template[templateParam] - .type === "prompt" || - myData.current.node.template[templateParam] - .type === "file" || - myData.current.node.template[templateParam] - .type === "int" || - myData.current.node.template[templateParam] - .type === "dict" || - myData.current.node.template[templateParam] - .type === "NestedDict") + myData.node?.template[templateParam].show && + LANGFLOW_SUPPORTED_TYPES.has( + myData.node.template[templateParam].type + ) ) - .map((templateParam, index) => ( - - - - - {myData.current.node?.template[templateParam] - .display_name - ? myData.current.node.template[ - templateParam - ].display_name - : myData.current.node?.template[ - templateParam - ].name} - - - - - {myData.current.node?.template[templateParam] - .type === "str" && - !myData.current.node.template[templateParam] - .options ? ( -
- {myData.current.node.template[templateParam] - .list ? ( - { + let id = { + inputTypes: + data.node!.template[templateParam].input_types, + type: data.node!.template[templateParam].type, + id: data.id, + fieldName: templateParam, + }; + let disabled = + reactFlowInstance?.getEdges().some( + (edge) => + edge.targetHandle === + scapedJSONStringfy( + data.node!.template[templateParam].proxy + ? { + ...id, + proxy: + data.node?.template[templateParam] + .proxy, } - onChange={(value: string[]) => { - handleOnNewValue(value, templateParam); + : id + ) + ) ?? false; + return ( + + + + + {myData.node?.template[templateParam] + .display_name + ? myData.node.template[templateParam] + .display_name + : myData.node?.template[templateParam] + .name} + + + + + {myData.node?.template[templateParam].type === + "str" && + !myData.node.template[templateParam].options ? ( +
+ {myData.node.template[templateParam] + .list ? ( + { + handleOnNewValue( + value, + templateParam + ); + }} + /> + ) : myData.node.template[templateParam] + .multiline ? ( + { + handleOnNewValue( + value, + templateParam + ); + }} + /> + ) : ( + { + handleOnNewValue( + value, + templateParam + ); + }} + /> + )} +
+ ) : myData.node?.template[templateParam] + .type === "NestedDict" ? ( +
+ { + myData.node!.template[ + templateParam + ].value = newValue; + handleOnNewValue( + newValue, + templateParam + ); + }} + id="editnode-div-dict-input" + /> +
+ ) : myData.node?.template[templateParam] + .type === "dict" ? ( +
1 + ? "my-3" + : "" + )} + > + { + const valueToNumbers = + convertValuesToNumbers(newValue); + myData.node!.template[ + templateParam + ].value = valueToNumbers; + setErrorDuplicateKey( + hasDuplicateKeys(valueToNumbers) + ); + handleOnNewValue( + valueToNumbers, + templateParam + ); }} /> - ) : myData.current.node.template[ - templateParam - ].multiline ? ( - + ) : myData.node?.template[templateParam] + .type === "bool" ? ( +
+ {" "} + { - handleOnNewValue(value, templateParam); + setEnabled={(isEnabled) => { + handleOnNewValue( + isEnabled, + templateParam + ); }} + size="small" /> - ) : ( - + ) : myData.node?.template[templateParam] + .type === "float" ? ( +
+ { handleOnNewValue(value, templateParam); }} /> - )} -
- ) : myData.current.node?.template[templateParam] - .type === "NestedDict" ? ( -
- { - myData.current.node!.template[ - templateParam - ].value = newValue; - handleOnNewValue(newValue, templateParam); - }} - /> -
- ) : myData.current.node?.template[templateParam] - .type === "dict" ? ( -
1 - ? "my-3" - : "" - )} - > - { - const valueToNumbers = - convertValuesToNumbers(newValue); - myData.current.node!.template[ - templateParam - ].value = valueToNumbers; - setErrorDuplicateKey( - hasDuplicateKeys(valueToNumbers) - ); - handleOnNewValue( - valueToNumbers, - templateParam - ); - }} - /> -
- ) : myData.current.node?.template[templateParam] - .type === "bool" ? ( -
- {" "} +
+ ) : myData.node?.template[templateParam] + .type === "str" && + myData.node.template[templateParam] + .options ? ( +
+ + handleOnNewValue(value, templateParam) + } + value={ + myData.node.template[templateParam] + .value ?? "Choose an option" + } + id={"dropdown-edit-" + index} + > +
+ ) : myData.node?.template[templateParam] + .type === "int" ? ( +
+ { + handleOnNewValue(value, templateParam); + }} + /> +
+ ) : myData.node?.template[templateParam] + .type === "file" ? ( +
+ { + handleOnNewValue(value, templateParam); + }} + fileTypes={ + myData.node.template[templateParam] + .fileTypes + } + onFileChange={(filePath: string) => { + data.node!.template[ + templateParam + ].file_path = filePath; + }} + > +
+ ) : myData.node?.template[templateParam] + .type === "prompt" ? ( +
+ { + myData.node = nodeClass; + }} + value={ + myData.node.template[templateParam] + .value ?? "" + } + onChange={(value: string | string[]) => { + handleOnNewValue(value, templateParam); + }} + id={"prompt-area-edit" + index} + /> +
+ ) : myData.node?.template[templateParam] + .type === "code" ? ( +
+ { + data.node = nodeClass; + }} + nodeClass={data.node} + disabled={disabled} + editNode={true} + value={ + myData.node.template[templateParam] + .value ?? "" + } + onChange={(value: string | string[]) => { + handleOnNewValue(value, templateParam); + }} + id={"code-area-edit" + index} + /> +
+ ) : myData.node?.template[templateParam] + .type === "Any" ? ( + "-" + ) : ( +
+ )} + + +
{ - handleOnNewValue( - isEnabled, - templateParam - ); + enabled={ + !myData.node?.template[templateParam] + .advanced + } + setEnabled={(e) => { + changeAdvanced(templateParam); }} + disabled={disabled} size="small" />
- ) : myData.current.node?.template[templateParam] - .type === "float" ? ( -
- { - handleOnNewValue(value, templateParam); - }} - /> -
- ) : myData.current.node?.template[templateParam] - .type === "str" && - myData.current.node.template[templateParam] - .options ? ( -
- - handleOnNewValue(value, templateParam) - } - value={ - myData.current.node.template[ - templateParam - ].value ?? "Choose an option" - } - > -
- ) : myData.current.node?.template[templateParam] - .type === "int" ? ( -
- { - handleOnNewValue(value, templateParam); - }} - /> -
- ) : myData.current.node?.template[templateParam] - .type === "file" ? ( -
- { - handleOnNewValue(value, templateParam); - }} - fileTypes={ - myData.current.node.template[ - templateParam - ].fileTypes - } - suffixes={ - myData.current.node.template[ - templateParam - ].suffixes - } - onFileChange={(filePath: string) => { - data.node!.template[ - templateParam - ].file_path = filePath; - }} - > -
- ) : myData.current.node?.template[templateParam] - .type === "prompt" ? ( -
- { - myData.current.node = nodeClass; - }} - value={ - myData.current.node.template[ - templateParam - ].value ?? "" - } - onChange={(value: string | string[]) => { - handleOnNewValue(value, templateParam); - }} - id={"prompt-area-edit" + index} - /> -
- ) : myData.current.node?.template[templateParam] - .type === "code" ? ( -
- { - data.node = nodeClass; - }} - nodeClass={data.node} - disabled={disabled} - editNode={true} - value={ - myData.current.node.template[ - templateParam - ].value ?? "" - } - onChange={(value: string | string[]) => { - handleOnNewValue(value, templateParam); - }} - id={"code-area-edit" + index} - /> -
- ) : myData.current.node?.template[templateParam] - .type === "Any" ? ( - "-" - ) : ( -
- )} - - -
- { - changeAdvanced(templateParam); - }} - disabled={disabled} - size="small" - /> -
- - - ))} + + + ); + })}
@@ -539,8 +524,7 @@ const EditNodeModal = forwardRef( id={"saveChangesBtn"} className="mt-3" onClick={() => { - const newData = cloneDeep(myData.current); - myData.current = newData; + data.node = myData.node; //@ts-ignore setTabsState((prev: FlowsState) => { return { @@ -551,7 +535,7 @@ const EditNodeModal = forwardRef( }, }; }); - setModalOpen(false); + setOpen(false); }} type="submit" > diff --git a/src/frontend/src/modals/SecretKeyModal/index.tsx b/src/frontend/src/modals/SecretKeyModal/index.tsx index 0487d28b8..29f7a529b 100644 --- a/src/frontend/src/modals/SecretKeyModal/index.tsx +++ b/src/frontend/src/modals/SecretKeyModal/index.tsx @@ -3,14 +3,9 @@ import { useContext, useEffect, useRef, useState } from "react"; import IconComponent from "../../components/genericIconComponent"; import { Button } from "../../components/ui/button"; import { Input } from "../../components/ui/input"; -import { CONTROL_NEW_API_KEY } from "../../constants/constants"; import { alertContext } from "../../contexts/alertContext"; import { createApiKey } from "../../controllers/API"; -import { - ApiKeyInputType, - ApiKeyType, - inputHandlerEventType, -} from "../../types/components"; +import { ApiKeyType } from "../../types/components"; import { nodeIconsLucide } from "../../utils/styleUtils"; import BaseModal from "../baseModal"; @@ -27,19 +22,11 @@ export default function SecretKeyModal({ const [open, setOpen] = useState(false); const [apiKeyName, setApiKeyName] = useState(data?.apikeyname ?? ""); const [apiKeyValue, setApiKeyValue] = useState(""); - const [inputState, setInputState] = - useState(CONTROL_NEW_API_KEY); const [renderKey, setRenderKey] = useState(false); const [textCopied, setTextCopied] = useState(true); const { setSuccessData } = useContext(alertContext); const inputRef = useRef(null); - function handleInput({ - target: { name, value }, - }: inputHandlerEventType): void { - setInputState((prev) => ({ ...prev, [name]: value })); - } - useEffect(() => { if (open) { setRenderKey(false); @@ -101,14 +88,7 @@ export default function SecretKeyModal({
- { - setApiKeyValue(event.target.value); - }} - readOnly={true} - value={apiKeyValue} - /> +
@@ -153,7 +133,6 @@ export default function SecretKeyModal({ { - handleInput({ target: { name: "apikeyname", value } }); setApiKeyName(value); }} value={apiKeyName} diff --git a/src/frontend/src/modals/StoreApiKeyModal/index.tsx b/src/frontend/src/modals/StoreApiKeyModal/index.tsx new file mode 100644 index 000000000..ffba35c2d --- /dev/null +++ b/src/frontend/src/modals/StoreApiKeyModal/index.tsx @@ -0,0 +1,124 @@ +import * as Form from "@radix-ui/react-form"; +import { useContext, useState } from "react"; +import IconComponent from "../../components/genericIconComponent"; +import { Button } from "../../components/ui/button"; +import { Input } from "../../components/ui/input"; +import { alertContext } from "../../contexts/alertContext"; +import { AuthContext } from "../../contexts/authContext"; +import { StoreContext } from "../../contexts/storeContext"; +import { addApiKeyStore } from "../../controllers/API"; +import { StoreApiKeyType } from "../../types/components"; +import BaseModal from "../baseModal"; + +export default function StoreApiKeyModal({ + children, + disabled = false, +}: StoreApiKeyType) { + if (disabled) return <>{children}; + const [open, setOpen] = useState(false); + const { setSuccessData, setErrorData } = useContext(alertContext); + const { storeApiKey } = useContext(AuthContext); + const { hasApiKey, validApiKey } = useContext(StoreContext); + const [apiKeyValue, setApiKeyValue] = useState(""); + + const handleSaveKey = () => { + if (apiKeyValue) { + addApiKeyStore(apiKeyValue).then( + () => { + setSuccessData({ + title: "Success! Your API Key has been saved.", + }); + storeApiKey(apiKeyValue); + setOpen(false); + }, + (error) => { + setErrorData({ + title: "There was an error saving the API Key, please try again.", + list: [error["response"]["data"]["detail"]], + }); + } + ); + } + }; + + return ( + + {children} + + API Key + + + { + event.preventDefault(); + }} + > +
+ +
+ + { + setApiKeyValue(value); + }} + placeholder="Insert your API Key" + /> + +
+ +
+
+ + Don’t have an API key? Sign up at{" "} + + langflow.store + + +
+ + + + + +
+
+ + + + ); +} diff --git a/src/frontend/src/modals/baseModal/index.tsx b/src/frontend/src/modals/baseModal/index.tsx index 263f335fd..1ed338183 100644 --- a/src/frontend/src/modals/baseModal/index.tsx +++ b/src/frontend/src/modals/baseModal/index.tsx @@ -67,7 +67,8 @@ interface BaseModalProps { | "large" | "large-h-full" | "small-h-full" - | "medium-h-full"; + | "medium-h-full" + | "smaller-h-full"; disable?: boolean; onChangeOpenModal?: (open?: boolean) => void; @@ -98,11 +99,15 @@ function BaseModal({ switch (size) { case "x-small": minWidth = "min-w-[20vw]"; - height = "h-[10vh]"; + height = " "; break; case "smaller": minWidth = "min-w-[40vw]"; - height = "h-[27vh]"; + height = "h-[11rem]"; + break; + case "smaller-h-full": + minWidth = "min-w-[40vw]"; + height = "h-full"; break; case "small": minWidth = "min-w-[40vw]"; @@ -145,9 +150,7 @@ function BaseModal({
{headerChild}
-
- {ContentChild} -
+
{ContentChild}
{ContentFooter && (
{ContentFooter}
)} diff --git a/src/frontend/src/modals/dictAreaModal/index.tsx b/src/frontend/src/modals/dictAreaModal/index.tsx index 9cc525b48..8a59344fe 100644 --- a/src/frontend/src/modals/dictAreaModal/index.tsx +++ b/src/frontend/src/modals/dictAreaModal/index.tsx @@ -54,6 +54,7 @@ export default function DictAreaModal({ />
- + Caution: Uncheck this box only removes API keys from fields specifically designated for API keys. @@ -73,6 +71,8 @@ const ExportModal = forwardRef( data: reactFlowInstance?.toObject()!, description, name, + last_tested_version: version, + is_component: false, }, name!, description @@ -88,6 +88,8 @@ const ExportModal = forwardRef( data: reactFlowInstance?.toObject()!, description, name, + last_tested_version: version, + is_component: false, }), name!, description diff --git a/src/frontend/src/modals/flowSettingsModal/index.tsx b/src/frontend/src/modals/flowSettingsModal/index.tsx index 1d514adc9..929f6db4a 100644 --- a/src/frontend/src/modals/flowSettingsModal/index.tsx +++ b/src/frontend/src/modals/flowSettingsModal/index.tsx @@ -5,13 +5,14 @@ import { Button } from "../../components/ui/button"; import { SETTINGS_DIALOG_SUBTITLE } from "../../constants/constants"; import { FlowsContext } from "../../contexts/flowsContext"; import { FlowSettingsPropsType } from "../../types/components"; +import { FlowType } from "../../types/flow"; import BaseModal from "../baseModal"; export default function FlowSettingsModal({ open, setOpen, }: FlowSettingsPropsType): JSX.Element { - const { flows, tabId, updateFlow, saveFlow } = useContext(FlowsContext); + const { flows, tabId, saveFlow } = useContext(FlowsContext); const flow = flows.find((f) => f.id === tabId); useEffect(() => { setName(flow!.name); @@ -19,7 +20,6 @@ export default function FlowSettingsModal({ }, [flow!.name, flow!.description]); const [name, setName] = useState(flow!.name); const [description, setDescription] = useState(flow!.description); - const [invalidName, setInvalidName] = useState(false); function handleClick(): void { let savedFlow = flows.find((flow) => flow.id === tabId); @@ -28,6 +28,17 @@ export default function FlowSettingsModal({ saveFlow(savedFlow!); setOpen(false); } + + const [nameLists, setNameList] = useState([]); + + useEffect(() => { + const tempNameList: string[] = []; + flows.forEach((flow: FlowType) => { + tempNameList.push(flow.name); + }); + setNameList(tempNameList.filter((name) => name !== flow!.name)); + }, [flows]); + return ( @@ -36,19 +47,20 @@ export default function FlowSettingsModal({ - diff --git a/src/frontend/src/modals/genericModal/index.tsx b/src/frontend/src/modals/genericModal/index.tsx index 8d75e29de..ab9a3da84 100644 --- a/src/frontend/src/modals/genericModal/index.tsx +++ b/src/frontend/src/modals/genericModal/index.tsx @@ -106,9 +106,9 @@ export default function GenericModal({ : "code-nohighlight"; } + // Function need some review, working for now function validatePrompt(closeModal: boolean): void { //nodeClass is always null on tweaks - postValidatePrompt(field_name, inputValue, nodeClass!) .then((apiReturn) => { // if field_name is an empty string, then we need to set it @@ -123,38 +123,24 @@ export default function GenericModal({ } if (apiReturn.data) { let inputVariables = apiReturn.data.input_variables ?? []; - if (inputVariables && inputVariables.length === 0) { + if (!inputVariables || inputVariables.length === 0) { setIsEdit(true); setNoticeData({ title: "Your template does not have any variables.", }); setModalOpen(false); - if ( - JSON.stringify(apiReturn.data?.frontend_node) !== - JSON.stringify({}) - ) - setNodeClass!(apiReturn.data?.frontend_node); - setModalOpen(closeModal); - setValue(inputValue); - if (field_name !== "") { - apiReturn.data.frontend_node["template"][field_name]["value"] = - inputValue; - } } else { - setIsEdit(false); - setSuccessData({ - title: "Prompt is ready", - }); if ( JSON.stringify(apiReturn.data?.frontend_node) !== JSON.stringify({}) - ) + ) { setNodeClass!(apiReturn.data?.frontend_node); - setModalOpen(closeModal); - setValue(inputValue); - if (field_name !== "") { - apiReturn.data.frontend_node["template"][field_name]["value"] = - inputValue; + setModalOpen(closeModal); + setValue(inputValue); + setIsEdit(false); + setSuccessData({ + title: "Prompt is ready", + }); } } } else { @@ -213,6 +199,7 @@ export default function GenericModal({ {type === TypeModal.PROMPT && isEdit && !readonly ? (