diff --git a/Makefile b/Makefile index 66b7afb06..7f0f998ae 100644 --- a/Makefile +++ b/Makefile @@ -45,6 +45,13 @@ run_frontend: @-kill -9 `lsof -t -i:3000` cd src/frontend && npm start +tests_frontend: +ifeq ($(UI), true) + cd src/frontend && ./run-tests.sh --ui +else + cd src/frontend && ./run-tests.sh +endif + run_cli: poetry run langflow run --path src/frontend/build diff --git a/docs/docs/components/embeddings.mdx b/docs/docs/components/embeddings.mdx index 1b7ca1dbe..015ba1ce1 100644 --- a/docs/docs/components/embeddings.mdx +++ b/docs/docs/components/embeddings.mdx @@ -1,11 +1,13 @@ -import Admonition from '@theme/Admonition'; +import Admonition from "@theme/Admonition"; # Embeddings -

- We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! πŸ› οΈπŸ“ -

+

+ We appreciate your understanding as we polish our documentation – it may + contain some rough edges. Share your feedback or report issues to help us + improve! πŸ› οΈπŸ“ +

Embeddings are vector representations of text that capture the semantic meaning of the text. They are created using text embedding models and allow us to think about the text in a vector space, enabling us to perform tasks like semantic search, where we look for pieces of text that are most similar in the vector space. @@ -110,4 +112,12 @@ Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). - **top_k:** How the model selects tokens for output, the next token is selected from – defaults to `40`. - **top_p:** Tokens are selected from most probable to least until the sum of their – defaults to `0.95`. - **tuned_model_name:** The name of a tuned model. If provided, model_name is ignored. -- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output – defaults to `False`. \ No newline at end of file +- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output – defaults to `False`. + +### OllamaEmbeddings + +Used to load [Ollama’s](https://ollama.ai/) embedding models. Wrapper around LangChain's [Ollama API](https://python.langchain.com/docs/integrations/text_embedding/ollama). + +- **model** The name of the Ollama model to use – defaults to `llama2`. +- **base_url** The base URL for the Ollama API – defaults to `http://localhost:11434`. +- **temperature** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0`. diff --git a/poetry.lock b/poetry.lock index 5447b025f..ef2f79058 100644 --- a/poetry.lock +++ b/poetry.lock @@ -132,6 +132,20 @@ files = [ [package.dependencies] frozenlist = ">=1.1.0" +[[package]] +name = "aiostream" +version = "0.5.2" +description = "Generator-based operators for asynchronous iteration" +optional = false +python-versions = ">=3.8" +files = [ + {file = "aiostream-0.5.2-py3-none-any.whl", hash = "sha256:054660370be9d37f6fe3ece3851009240416bd082e469fd90cc8673d3818cf71"}, + {file = "aiostream-0.5.2.tar.gz", hash = "sha256:b71b519a2d66c38f0872403ab86417955b77352f08d9ad02ad46fc3926b389f4"}, +] + +[package.dependencies] +typing-extensions = "*" + [[package]] name = "alembic" version = "1.13.1" @@ -321,13 +335,13 @@ files = [ [[package]] name = "bce-python-sdk" -version = "0.8.99" +version = "0.9.2" description = "BCE SDK for python" optional = false python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, <4" files = [ - {file 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"pytest", "pytest-cov", "pytest-timeout"] [[package]] name = "kombu" -version = "5.3.4" +version = "5.3.5" description = "Messaging library for Python." optional = true python-versions = ">=3.8" files = [ - {file = "kombu-5.3.4-py3-none-any.whl", hash = "sha256:63bb093fc9bb80cfb3a0972336a5cec1fa7ac5f9ef7e8237c6bf8dda9469313e"}, - {file = "kombu-5.3.4.tar.gz", hash = "sha256:0bb2e278644d11dea6272c17974a3dbb9688a949f3bb60aeb5b791329c44fadc"}, + {file = "kombu-5.3.5-py3-none-any.whl", hash = "sha256:0eac1bbb464afe6fb0924b21bf79460416d25d8abc52546d4f16cad94f789488"}, + {file = "kombu-5.3.5.tar.gz", hash = "sha256:30e470f1a6b49c70dc6f6d13c3e4cc4e178aa6c469ceb6bcd55645385fc84b93"}, ] [package.dependencies] @@ -3549,6 +3608,32 @@ sqs = ["boto3 (>=1.26.143)", "pycurl (>=7.43.0.5)", "urllib3 (>=1.26.16)"] yaml = ["PyYAML (>=3.10)"] zookeeper = ["kazoo (>=2.8.0)"] +[[package]] +name = "kubernetes" +version = "29.0.0" +description = "Kubernetes python client" +optional = false +python-versions = 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"huggingface-hub (>=0.19.3,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.14,<0.19)", "torch (>=1.11,!=1.12.0)", "tqdm (>=4.27)"] video = ["av (==9.2.0)", "decord (==0.6.0)"] vision = ["Pillow (>=10.0.1,<=15.0)"] @@ -8449,6 +8619,20 @@ files = [ [package.dependencies] types-urllib3 = "*" +[[package]] +name = "types-requests" +version = "2.31.0.20240106" +description = "Typing stubs for requests" +optional = false +python-versions = ">=3.8" +files = [ + {file = "types-requests-2.31.0.20240106.tar.gz", hash = "sha256:0e1c731c17f33618ec58e022b614a1a2ecc25f7dc86800b36ef341380402c612"}, + {file = "types_requests-2.31.0.20240106-py3-none-any.whl", hash = "sha256:da997b3b6a72cc08d09f4dba9802fdbabc89104b35fe24ee588e674037689354"}, +] + +[package.dependencies] +urllib3 = ">=2" + [[package]] name = "types-urllib3" version = "1.26.25.14" @@ -8603,13 +8787,13 @@ xlsx = ["networkx", "openpyxl", "pandas", "xlrd"] [[package]] name = "unstructured-client" -version = "0.15.2" +version = "0.15.5" description = "Python Client SDK for Unstructured API" optional = false python-versions = ">=3.8" files = [ - {file = "unstructured-client-0.15.2.tar.gz", hash = "sha256:47a80d90abf214c0b695812ec5ef982d08b8ed7ffa84bc76cd208f8ddec9ba4c"}, - {file = "unstructured_client-0.15.2-py3-none-any.whl", hash = "sha256:0476ecc86a26709c768c4b03116e446646b192942e5dc6620a0e3845e0e28efc"}, + {file = "unstructured-client-0.15.5.tar.gz", hash = "sha256:da36c26c230707aba5b4a586b954631f100e493a660b16f16442e8c8cac8803a"}, + {file = "unstructured_client-0.15.5-py3-none-any.whl", hash = "sha256:82906fef86961a7efce35a4dcd46651e2fc4b96f3ad2b27d4e403def015bf76e"}, ] [package.dependencies] @@ -8658,6 +8842,23 @@ brotli = ["brotli (==1.0.9)", "brotli (>=1.0.9)", "brotlicffi (>=0.8.0)", "brotl secure = ["certifi", "cryptography (>=1.3.4)", "idna (>=2.0.0)", "ipaddress", "pyOpenSSL (>=0.14)", "urllib3-secure-extra"] socks = ["PySocks (>=1.5.6,!=1.5.7,<2.0)"] +[[package]] +name = "urllib3" +version = "2.0.7" +description = "HTTP library with thread-safe connection pooling, file post, and more." +optional = false +python-versions = ">=3.7" +files = [ + {file = "urllib3-2.0.7-py3-none-any.whl", hash = "sha256:fdb6d215c776278489906c2f8916e6e7d4f5a9b602ccbcfdf7f016fc8da0596e"}, + {file = "urllib3-2.0.7.tar.gz", hash = "sha256:c97dfde1f7bd43a71c8d2a58e369e9b2bf692d1334ea9f9cae55add7d0dd0f84"}, +] + +[package.extras] +brotli = ["brotli (>=1.0.9)", "brotlicffi (>=0.8.0)"] +secure = ["certifi", "cryptography (>=1.9)", "idna (>=2.0.0)", "pyopenssl (>=17.1.0)", "urllib3-secure-extra"] +socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"] +zstd = ["zstandard (>=0.18.0)"] + [[package]] name = "uvicorn" version = "0.25.0" @@ -8861,22 +9062,39 @@ files = [ [[package]] name = "weaviate-client" -version = "3.26.0" +version = "4.4b6" description = "A python native Weaviate client" optional = false python-versions = ">=3.8" files = [ - {file = "weaviate-client-3.26.0.tar.gz", hash = "sha256:ee809bf2d1f5a500c9a68c5edc2eb174ab5142a36802e274ab24afe675ffb28b"}, - {file = "weaviate_client-3.26.0-py3-none-any.whl", hash = "sha256:0816861d0d6c893d4c457209d5299b265f54f3cda7ee0a37e66ac50ddf16a33d"}, + {file = "weaviate-client-4.4b6.tar.gz", hash = "sha256:40b4ba7f3300ba537566697ed806b34cefb559285acbd4f0c2602dc71e5794e3"}, + {file = "weaviate_client-4.4b6-py3-none-any.whl", hash = "sha256:abb6140071ae83c4987176ae928328ad367eedccf7f2d06cb733d12a50ab445e"}, ] [package.dependencies] authlib = ">=1.2.1,<2.0.0" +grpcio = ">=1.57.0,<2.0.0" +grpcio-health-checking = ">=1.57.0,<2.0.0" +grpcio-tools = ">=1.57.0,<2.0.0" +pydantic = ">=2.1.1,<3.0.0" requests = ">=2.30.0,<3.0.0" validators = ">=0.21.2,<1.0.0" +[[package]] +name = "websocket-client" +version = "1.7.0" +description = "WebSocket client for Python with low level API options" +optional = false +python-versions = ">=3.8" +files = [ + {file = "websocket-client-1.7.0.tar.gz", hash = "sha256:10e511ea3a8c744631d3bd77e61eb17ed09304c413ad42cf6ddfa4c7787e8fe6"}, + {file = "websocket_client-1.7.0-py3-none-any.whl", hash = "sha256:f4c3d22fec12a2461427a29957ff07d35098ee2d976d3ba244e688b8b4057588"}, +] + [package.extras] -grpc = ["grpcio (>=1.57.0,<2.0.0)", "grpcio-tools (>=1.57.0,<2.0.0)"] +docs = ["Sphinx (>=6.0)", "sphinx-rtd-theme (>=1.1.0)"] +optional = ["python-socks", "wsaccel"] +test = ["websockets"] [[package]] name = "websockets" @@ -9297,4 +9515,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.11" -content-hash = "bc135f5941d37d61773f906f1b5e96e189ef5dcb35c9d92fbe271f863d169595" +content-hash = "db11539b82bcfff4137452acb4f77066e3f9b228529365df1f55d7d44f38920d" diff --git a/pyproject.toml b/pyproject.toml index f024fecf8..4c1565358 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow" -version = "0.6.4" +version = "0.6.5a9" description = "A Python package with a built-in web application" authors = ["Logspace "] maintainers = [ @@ -55,7 +55,7 @@ tiktoken = "~0.5.0" wikipedia = "^1.4.0" qdrant-client = "^1.7.0" websockets = "^10.3" -weaviate-client = "^3.26.0" +weaviate-client = { version = "^4.4b6", allow-prereleases = true } jina = "*" sentence-transformers = { version = "^2.2.2", optional = true } ctransformers = { version = "^0.2.10", optional = true } diff --git a/src/backend/langflow/__main__.py b/src/backend/langflow/__main__.py index cbfddf289..8e12a3cf9 100644 --- a/src/backend/langflow/__main__.py +++ b/src/backend/langflow/__main__.py @@ -1,15 +1,12 @@ import platform import socket import sys -import time -import webbrowser from pathlib import Path from typing import Optional -import httpx import typer from dotenv import load_dotenv -from multiprocess import Process, cpu_count # type: ignore +from multiprocess import cpu_count # type: ignore from rich import box from rich import print as rprint from rich.console import Console @@ -212,23 +209,12 @@ def run( run_on_windows(host, port, log_level, options, app) else: # Run using gunicorn on Linux - run_on_mac_or_linux(host, port, log_level, options, app, open_browser) + run_on_mac_or_linux(host, port, log_level, options, app) -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.start() - status_code = 0 - while status_code != 200: - try: - status_code = httpx.get(f"http://{host}:{port}/health").status_code - - except Exception: - time.sleep(1) - +def run_on_mac_or_linux(host, port, log_level, options, app): print_banner(host, port) - if open_browser: - webbrowser.open(f"http://{host}:{port}") + run_langflow(host, port, log_level, options, app) def run_on_windows(host, port, log_level, options, app): @@ -303,19 +289,26 @@ def run_langflow(host, port, log_level, options, app): Run Langflow server on localhost """ try: - if platform.system() in ["Windows"]: + if platform.system() in ["Windows", "Darwin"]: # Run using uvicorn on MacOS and Windows # Windows doesn't support gunicorn # MacOS requires an env variable to be set to use gunicorn + import uvicorn - uvicorn.run(app, host=host, port=port, log_level=log_level) + uvicorn.run( + app, + host=host, + port=port, + log_level=log_level, + ) else: from langflow.server import LangflowApplication LangflowApplication(app, options).run() except KeyboardInterrupt: - pass + logger.info("Shutting down server") + sys.exit(0) except Exception as e: logger.exception(e) sys.exit(1) diff --git a/src/backend/langflow/alembic/versions/006b3990db50_add_unique_constraints.py b/src/backend/langflow/alembic/versions/006b3990db50_add_unique_constraints.py index 692dc0413..dd3ccbe32 100644 --- a/src/backend/langflow/alembic/versions/006b3990db50_add_unique_constraints.py +++ b/src/backend/langflow/alembic/versions/006b3990db50_add_unique_constraints.py @@ -27,7 +27,8 @@ def upgrade() -> None: with op.batch_alter_table('user', schema=None) as batch_op: batch_op.create_unique_constraint('uq_user_id', ['id']) - except Exception: + except Exception as e: + print(e) pass # ### end Alembic commands ### @@ -44,6 +45,7 @@ def downgrade() -> None: with op.batch_alter_table('apikey', schema=None) as batch_op: batch_op.drop_constraint('uq_apikey_id', type_='unique') - except Exception: + except Exception as e: + print(e) pass # ### end Alembic commands ### diff --git a/src/backend/langflow/alembic/versions/0b8757876a7c_.py b/src/backend/langflow/alembic/versions/0b8757876a7c_.py new file mode 100644 index 000000000..61b769694 --- /dev/null +++ b/src/backend/langflow/alembic/versions/0b8757876a7c_.py @@ -0,0 +1,71 @@ +"""empty message + +Revision ID: 0b8757876a7c +Revises: 006b3990db50 +Create Date: 2024-01-17 10:32:56.686287 + +""" +from typing import Sequence, Union + +from alembic import op + +# revision identifiers, used by Alembic. +revision: str = '0b8757876a7c' +down_revision: Union[str, None] = '006b3990db50' +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.create_index(batch_op.f('ix_apikey_api_key'), ['api_key'], unique=True) + batch_op.create_index(batch_op.f('ix_apikey_name'), ['name'], unique=False) + batch_op.create_index(batch_op.f('ix_apikey_user_id'), ['user_id'], unique=False) + except Exception as e: + print(e) + pass + try: + with op.batch_alter_table('flow', schema=None) as batch_op: + batch_op.create_index(batch_op.f('ix_flow_description'), ['description'], unique=False) + batch_op.create_index(batch_op.f('ix_flow_name'), ['name'], unique=False) + batch_op.create_index(batch_op.f('ix_flow_user_id'), ['user_id'], unique=False) + except Exception as e: + print(e) + pass + + try: + with op.batch_alter_table('user', schema=None) as batch_op: + batch_op.create_index(batch_op.f('ix_user_username'), ['username'], unique=True) + except Exception as e: + print(e) + pass + # ### 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_index(batch_op.f('ix_user_username')) + except Exception as e: + print(e) + pass + try: + with op.batch_alter_table('flow', schema=None) as batch_op: + batch_op.drop_index(batch_op.f('ix_flow_user_id')) + batch_op.drop_index(batch_op.f('ix_flow_name')) + batch_op.drop_index(batch_op.f('ix_flow_description')) + except Exception as e: + print(e) + pass + try: + with op.batch_alter_table('apikey', schema=None) as batch_op: + batch_op.drop_index(batch_op.f('ix_apikey_user_id')) + batch_op.drop_index(batch_op.f('ix_apikey_name')) + batch_op.drop_index(batch_op.f('ix_apikey_api_key')) + except Exception as e: + print(e) + pass + # ### end Alembic commands ### \ No newline at end of file diff --git a/src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py b/src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py index 729e1898f..48c56e90d 100644 --- a/src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py +++ b/src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py @@ -60,8 +60,8 @@ def upgrade() -> None: sa.Column("create_at", sa.DateTime(), nullable=False), sa.Column("updated_at", sa.DateTime(), nullable=False), sa.Column("last_login_at", sa.DateTime(), nullable=True), - sa.PrimaryKeyConstraint("id"), - sa.UniqueConstraint("id"), + sa.PrimaryKeyConstraint("id", name="pk_user"), + sa.UniqueConstraint("id", name="uq_user_id"), ) with op.batch_alter_table("user", schema=None) as batch_op: batch_op.create_index( @@ -83,8 +83,8 @@ def upgrade() -> None: ["user_id"], ["user.id"], ), - sa.PrimaryKeyConstraint("id"), - sa.UniqueConstraint("id"), + sa.PrimaryKeyConstraint("id", name="pk_apikey"), + sa.UniqueConstraint("id", name="uq_apikey_id"), ) with op.batch_alter_table("apikey", schema=None) as batch_op: batch_op.create_index( @@ -106,8 +106,8 @@ def upgrade() -> None: ["user_id"], ["user.id"], ), - sa.PrimaryKeyConstraint("id"), - sa.UniqueConstraint("id"), + sa.PrimaryKeyConstraint("id", name="pk_flow"), + sa.UniqueConstraint("id", name="uq_flow_id"), ) # Conditionally create indices for 'flow' table # if _alembic_tmp_flow exists, then we need to drop it first @@ -145,7 +145,7 @@ def upgrade() -> None: def downgrade() -> None: # ### commands auto generated by Alembic - please adjust! ### - conn = op.get_bind() + conn = op.get_bind() inspector = Inspector.from_engine(conn) # type: ignore # List existing tables existing_tables = inspector.get_table_names() diff --git a/src/backend/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py b/src/backend/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py index 3f974dc04..1ac3e1a13 100644 --- a/src/backend/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py +++ b/src/backend/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py @@ -29,9 +29,10 @@ def upgrade() -> None: 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') + sa.PrimaryKeyConstraint('id'), ) - except Exception: + except Exception as e: + print(e) pass # ### end Alembic commands ### @@ -40,6 +41,7 @@ def downgrade() -> None: # ### commands auto generated by Alembic - please adjust! ### try: op.drop_table('credential') - except Exception: + except Exception as e: + print(e) pass # ### end Alembic commands ### diff --git a/src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py b/src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py index 54c418943..e0b844b61 100644 --- a/src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py +++ b/src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py @@ -45,6 +45,7 @@ def downgrade() -> None: with op.batch_alter_table("flow", schema=None) as batch_op: batch_op.drop_column("is_component") - except Exception: + except Exception as e: + print(e) 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 index f8280053b..01dd38cfd 100644 --- 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 @@ -37,7 +37,6 @@ def upgrade() -> None: 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 ### 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 080602358..59b94ecec 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 @@ -29,7 +29,8 @@ def upgrade() -> None: except exc.SQLAlchemyError: # connection.execute(text("ROLLBACK")) pass - except Exception: + except Exception as e: + print(e) pass try: @@ -37,7 +38,8 @@ def upgrade() -> None: except exc.SQLAlchemyError: # connection.execute(text("ROLLBACK")) pass - except Exception: + except Exception as e: + print(e) pass # ### end Alembic commands ### @@ -57,14 +59,15 @@ def downgrade() -> None: 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"), + sa.PrimaryKeyConstraint("id", name="pk_component"), ) 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: + except Exception as e: + print(e) pass try: @@ -78,9 +81,10 @@ def downgrade() -> None: ["flow_id"], ["flow.id"], ), - sa.PrimaryKeyConstraint("id"), - sa.UniqueConstraint("id"), + sa.PrimaryKeyConstraint("id", name="pk_flowstyle"), + sa.UniqueConstraint("id", name="uq_flowstyle_id"), ) - except Exception: + except Exception as e: + print(e) 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 index 60e19e69e..d9aab403f 100644 --- 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 @@ -7,10 +7,8 @@ Create Date: 2023-10-18 23:12:27.297016 """ from typing import Sequence, Union -from alembic import op import sqlalchemy as sa -import sqlmodel - +from alembic import op # revision identifiers, used by Alembic. revision: str = "f5ee9749d1a6" @@ -26,7 +24,8 @@ def upgrade() -> None: batch_op.alter_column( "user_id", existing_type=sa.CHAR(length=32), nullable=True ) - except Exception: + except Exception as e: + print(e) pass # ### end Alembic commands ### @@ -39,7 +38,8 @@ def downgrade() -> None: batch_op.alter_column( "user_id", existing_type=sa.CHAR(length=32), nullable=False ) - except Exception: + except Exception as e: + print(e) 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 index db20f928b..2bcaacd68 100644 --- a/src/backend/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py +++ b/src/backend/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py @@ -21,7 +21,8 @@ def upgrade() -> None: 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: + except Exception as e: + print(e) pass # ### end Alembic commands ### @@ -32,7 +33,8 @@ def downgrade() -> None: try: with op.batch_alter_table('credential', schema=None) as batch_op: batch_op.drop_constraint("fk_credential_user_id", type_='foreignkey') - except Exception: + except Exception as e: + print(e) pass # ### end Alembic commands ### diff --git a/src/backend/langflow/api/v1/endpoints.py b/src/backend/langflow/api/v1/endpoints.py index 0247be7e7..c8ef86906 100644 --- a/src/backend/langflow/api/v1/endpoints.py +++ b/src/backend/langflow/api/v1/endpoints.py @@ -3,12 +3,10 @@ from typing import Annotated, Any, List, Optional, Union import sqlalchemy as sa from fastapi import APIRouter, Body, Depends, HTTPException, UploadFile, status -from loguru import logger -from sqlmodel import select - from langflow.api.utils import update_frontend_node_with_template_values from langflow.api.v1.schemas import ( CustomComponentCode, + PreloadResponse, ProcessResponse, TaskResponse, TaskStatusResponse, @@ -17,12 +15,15 @@ from langflow.api.v1.schemas import ( from langflow.interface.custom.custom_component import CustomComponent from langflow.interface.custom.directory_reader import DirectoryReader from langflow.interface.custom.utils import build_custom_component_template -from langflow.processing.process import process_graph_cached, process_tweaks +from langflow.processing.process import build_graph_and_generate_result, 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 langflow.services.session.service import SessionService +from loguru import logger +from sqlmodel import select try: from langflow.worker import process_graph_cached_task @@ -32,9 +33,8 @@ except ImportError: raise NotImplementedError("Celery is not installed") -from sqlmodel import Session - from langflow.services.task.service import TaskService +from sqlmodel import Session # build router router = APIRouter(tags=["Base"]) @@ -148,6 +148,55 @@ async def process_json( raise HTTPException(status_code=500, detail=str(exc)) from exc +# Endpoint to preload a graph +@router.post("/process/preload/{flow_id}", response_model=PreloadResponse) +async def preload_flow( + session: Annotated[Session, Depends(get_session)], + flow_id: str, + session_id: Optional[str] = None, + session_service: SessionService = Depends(get_session_service), + api_key_user: User = Depends(api_key_security), + clear_session: Annotated[bool, Body(embed=True)] = False, # noqa: F821 +): + try: + # 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() + if clear_session: + session_service.clear_session(session_id) + # Check if the session exists + session_data = await session_service.load_session(session_id) + # Session data is a tuple of (graph, artifacts) + # or (None, None) if the session is empty + if isinstance(session_data, tuple): + graph, artifacts = session_data + is_clear = graph is None and artifacts is None + else: + is_clear = session_data is None + return PreloadResponse(session_id=session_id, is_clear=is_clear) + else: + if session_id is None: + session_id = flow_id + 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 + session_service.clear_session(session_id) + # Load the graph using SessionService + session_data = await session_service.load_session(session_id, graph_data) + graph, artifacts = session_data if session_data else (None, None) + if not graph: + raise ValueError("Graph not found in the session") + _ = await graph.build() + session_service.update_session(session_id, (graph, artifacts)) + return PreloadResponse(session_id=session_id) + except Exception as exc: + logger.exception(exc) + raise HTTPException(status_code=500, detail=str(exc)) from exc + + @router.post( "/predict/{flow_id}", response_model=ProcessResponse, @@ -167,36 +216,75 @@ async def process( task_service: "TaskService" = Depends(get_task_service), api_key_user: User = Depends(api_key_security), sync: Annotated[bool, Body(embed=True)] = True, # noqa: F821 + session_service: SessionService = Depends(get_session_service), ): """ Endpoint to process an input with a given flow_id. """ try: - if api_key_user is None: - raise HTTPException( - status_code=status.HTTP_401_UNAUTHORIZED, - detail="Invalid API Key", + if session_id: + session_data = await session_service.load_session(session_id) + graph, artifacts = session_data if session_data else (None, None) + task_result: Any = None + task_status = None + task_id = None + if not graph: + raise ValueError("Graph not found in the session") + result = await build_graph_and_generate_result( + graph=graph, + inputs=inputs, + artifacts=artifacts, + session_id=session_id, + session_service=session_service, + ) + task_id = str(id(result)) + if isinstance(result, dict) and "result" in result: + task_result = result["result"] + session_id = result["session_id"] + elif hasattr(result, "result") and hasattr(result, "session_id"): + task_result = result.result + + session_id = result.session_id + else: + task_result = result + if task_id: + task_response = TaskResponse(id=task_id, href=f"api/v1/task/{task_id}") + else: + task_response = None + return ProcessResponse( + result=task_result, + status=task_status, + task=task_response, + session_id=session_id, + backend=task_service.backend_name, ) - # 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.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") + else: + if api_key_user is None: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Invalid API Key", + ) - if flow.data is None: - raise ValueError(f"Flow {flow_id} has no data") - graph_data = flow.data - return await process_graph_data( - graph_data=graph_data, - inputs=inputs, - tweaks=tweaks, - clear_cache=clear_cache, - session_id=session_id, - task_service=task_service, - sync=sync, - ) + # 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.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 + return await process_graph_data( + graph_data=graph_data, + inputs=inputs, + tweaks=tweaks, + clear_cache=clear_cache, + session_id=session_id, + task_service=task_service, + sync=sync, + ) except sa.exc.StatementError as exc: # StatementError('(builtins.ValueError) badly formed hexadecimal UUID string') if "badly formed hexadecimal UUID string" in str(exc): diff --git a/src/backend/langflow/api/v1/schemas.py b/src/backend/langflow/api/v1/schemas.py index 252df4669..b28cc8c2c 100644 --- a/src/backend/langflow/api/v1/schemas.py +++ b/src/backend/langflow/api/v1/schemas.py @@ -64,6 +64,13 @@ class ProcessResponse(BaseModel): backend: Optional[str] = None +class PreloadResponse(BaseModel): + """Preload response schema.""" + + session_id: Optional[str] = None + is_clear: Optional[bool] = None + + # TaskStatusResponse( # status=task.status, result=task.result if task.ready() else None # ) diff --git a/src/backend/langflow/components/embeddings/AzureOpenAIEmbeddings.py b/src/backend/langflow/components/embeddings/AzureOpenAIEmbeddings.py new file mode 100644 index 000000000..e4fdd8738 --- /dev/null +++ b/src/backend/langflow/components/embeddings/AzureOpenAIEmbeddings.py @@ -0,0 +1,64 @@ +from langflow import CustomComponent +from langchain.embeddings.base import Embeddings +from langchain_community.embeddings import AzureOpenAIEmbeddings + + +class AzureOpenAIEmbeddingsComponent(CustomComponent): + display_name: str = "AzureOpenAIEmbeddings" + description: str = "Embeddings model from Azure OpenAI." + documentation: str = "https://python.langchain.com/docs/integrations/text_embedding/azureopenai" + beta = False + + API_VERSION_OPTIONS = [ + "2022-12-01", + "2023-03-15-preview", + "2023-05-15", + "2023-06-01-preview", + "2023-07-01-preview", + "2023-08-01-preview", + ] + + def build_config(self): + return { + "azure_endpoint": { + "display_name": "Azure Endpoint", + "required": True, + "info": "Your Azure endpoint, including the resource.. Example: `https://example-resource.azure.openai.com/`", + }, + "azure_deployment": { + "display_name": "Deployment Name", + "required": True, + }, + "api_version": { + "display_name": "API Version", + "options": self.API_VERSION_OPTIONS, + "value": self.API_VERSION_OPTIONS[-1], + "advanced": True, + }, + "api_key": { + "display_name": "API Key", + "required": True, + "password": True, + }, + "code": {"show": False}, + } + + def build( + self, + azure_endpoint: str, + azure_deployment: str, + api_version: str, + api_key: str, + ) -> Embeddings: + try: + embeddings = AzureOpenAIEmbeddings( + azure_endpoint=azure_endpoint, + deployment=azure_deployment, + openai_api_version=api_version, + openai_api_key=api_key, + ) + + except Exception as e: + raise ValueError("Could not connect to AzureOpenAIEmbeddings API.") from e + + return embeddings diff --git a/src/backend/langflow/components/embeddings/OllamaEmbeddings.py b/src/backend/langflow/components/embeddings/OllamaEmbeddings.py new file mode 100644 index 000000000..65c6aca3b --- /dev/null +++ b/src/backend/langflow/components/embeddings/OllamaEmbeddings.py @@ -0,0 +1,38 @@ +from typing import Optional + +from langflow import CustomComponent +from langchain.embeddings.base import Embeddings +from langchain_community.embeddings import OllamaEmbeddings + + +class OllamaEmbeddingsComponent(CustomComponent): + """ + A custom component for implementing an Embeddings Model using Ollama. + """ + + display_name: str = "Ollama Embeddings" + description: str = "Embeddings model from Ollama." + documentation = "https://python.langchain.com/docs/integrations/text_embedding/ollama" + beta = True + + def build_config(self): + return { + "model": { + "display_name": "Ollama Model", + }, + "base_url": {"display_name": "Ollama Base URL"}, + "temperature": {"display_name": "Model Temperature"}, + "code": {"show": False}, + } + + def build( + self, + model: str = "llama2", + base_url: str = "http://localhost:11434", + temperature: Optional[float] = None, + ) -> Embeddings: + try: + output = OllamaEmbeddings(model=model, base_url=base_url, temperature=temperature) # type: ignore + except Exception as e: + raise ValueError("Could not connect to Ollama API.") from e + return output diff --git a/src/backend/langflow/components/llms/AzureChatOpenAI.py b/src/backend/langflow/components/llms/AzureChatOpenAI.py index 92f52d1d1..53c2af9bb 100644 --- a/src/backend/langflow/components/llms/AzureChatOpenAI.py +++ b/src/backend/langflow/components/llms/AzureChatOpenAI.py @@ -8,6 +8,7 @@ class AzureChatOpenAIComponent(CustomComponent): display_name: str = "AzureChatOpenAI" description: str = "LLM model from Azure OpenAI." documentation: str = "https://python.langchain.com/docs/integrations/llms/azure_openai" + beta = False AZURE_OPENAI_MODELS = [ "gpt-35-turbo", @@ -18,11 +19,21 @@ class AzureChatOpenAIComponent(CustomComponent): "gpt-4-vision", ] + AZURE_OPENAI_API_VERSIONS = [ + "2023-03-15-preview", + "2023-05-15", + "2023-06-01-preview", + "2023-07-01-preview", + "2023-08-01-preview", + "2023-09-01-preview", + "2023-12-01-preview" + ] + def build_config(self): return { "model": { "display_name": "Model Name", - "value": "gpt-35-turbo", + "value": self.AZURE_OPENAI_MODELS[0], "options": self.AZURE_OPENAI_MODELS, "required": True, }, @@ -37,7 +48,8 @@ class AzureChatOpenAIComponent(CustomComponent): }, "api_version": { "display_name": "API Version", - "value": "2023-05-15", + "options": self.AZURE_OPENAI_API_VERSIONS, + "value": self.AZURE_OPENAI_API_VERSIONS[-1], "required": True, "advanced": True, }, @@ -54,6 +66,7 @@ class AzureChatOpenAIComponent(CustomComponent): "required": False, "field_type": "int", "advanced": True, + "info": "Maximum number of tokens to generate.", }, "code": {"show": False}, } @@ -64,16 +77,20 @@ class AzureChatOpenAIComponent(CustomComponent): azure_endpoint: str, azure_deployment: str, api_key: str, - api_version: str = "2023-05-15", + api_version: str, temperature: float = 0.7, max_tokens: Optional[int] = 1000, ) -> BaseLanguageModel: - return AzureChatOpenAI( - model=model, - azure_endpoint=azure_endpoint, - azure_deployment=azure_deployment, - api_version=api_version, - api_key=api_key, - temperature=temperature, - max_tokens=max_tokens, - ) + try: + llm = AzureChatOpenAI( + model=model, + azure_endpoint=azure_endpoint, + azure_deployment=azure_deployment, + api_version=api_version, + api_key=api_key, + temperature=temperature, + max_tokens=max_tokens, + ) + except Exception as e: + raise ValueError("Could not connect to AzureOpenAI API.") from e + return llm diff --git a/src/backend/langflow/config.yaml b/src/backend/langflow/config.yaml index 816f4738c..caabffbf9 100644 --- a/src/backend/langflow/config.yaml +++ b/src/backend/langflow/config.yaml @@ -106,6 +106,8 @@ embeddings: documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/google_vertex_ai_palm" AmazonBedrockEmbeddings: documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/bedrock" + OllamaEmbeddings: + documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/ollama" llms: OpenAI: diff --git a/src/backend/langflow/interface/chains/custom.py b/src/backend/langflow/interface/chains/custom.py index 01aad73c3..27ed646b2 100644 --- a/src/backend/langflow/interface/chains/custom.py +++ b/src/backend/langflow/interface/chains/custom.py @@ -67,7 +67,9 @@ 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. @@ -81,7 +83,9 @@ 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/main.py b/src/backend/langflow/main.py index ea33acb61..0eba10ab1 100644 --- a/src/backend/langflow/main.py +++ b/src/backend/langflow/main.py @@ -7,6 +7,7 @@ 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.plugins.langfuse_plugin import LangfuseInstance @@ -102,11 +103,12 @@ def setup_app(static_files_dir: Optional[Path] = None, backend_only: bool = Fals if __name__ == "__main__": import uvicorn + from langflow.__main__ import get_number_of_workers configure() uvicorn.run( - create_app, + "langflow.main:create_app", host="127.0.0.1", port=7860, workers=get_number_of_workers(), diff --git a/src/backend/langflow/processing/process.py b/src/backend/langflow/processing/process.py index 3c7596774..2fa14e5e5 100644 --- a/src/backend/langflow/processing/process.py +++ b/src/backend/langflow/processing/process.py @@ -7,9 +7,11 @@ from langchain.schema import AgentAction, Document from langchain.vectorstores.base import VectorStore from langchain_core.messages import AIMessage from langchain_core.runnables.base import Runnable +from langflow.graph.graph.base import Graph from langflow.interface.custom.custom_component import CustomComponent from langflow.interface.run import build_sorted_vertices, get_memory_key, update_memory_keys from langflow.services.deps import get_session_service +from langflow.services.session.service import SessionService from loguru import logger from pydantic import BaseModel @@ -220,13 +222,29 @@ async def process_graph_cached( graph, artifacts = session if session else (None, None) if not graph: raise ValueError("Graph not found in the session") + + result = await build_graph_and_generate_result( + graph=graph, session_id=session_id, inputs=inputs, artifacts=artifacts, session_service=session_service + ) + + return result + + +async def build_graph_and_generate_result( + graph: "Graph", + session_id: str, + inputs: Optional[Union[dict, List[dict]]] = None, + artifacts: Optional[Dict[str, Any]] = None, + session_service: Optional[SessionService] = None, +): + """Build the graph and generate the result""" built_object = await graph.build() processed_inputs = process_inputs(inputs, artifacts or {}) result = await 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)) - + if session_id and session_service: + session_service.update_session(session_id, (graph, artifacts)) return Result(result=result, session_id=session_id) diff --git a/src/backend/langflow/services/database/service.py b/src/backend/langflow/services/database/service.py index 9765d858f..693da8143 100644 --- a/src/backend/langflow/services/database/service.py +++ b/src/backend/langflow/services/database/service.py @@ -5,17 +5,16 @@ from typing import TYPE_CHECKING import sqlalchemy as sa from alembic import command, util from alembic.config import Config -from loguru import logger -from sqlalchemy import inspect -from sqlalchemy.exc import OperationalError -from sqlmodel import Session, SQLModel, create_engine, select, text - 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.deps import get_settings_service from langflow.services.utils import teardown_superuser +from loguru import logger +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 @@ -40,7 +39,7 @@ class DatabaseService(Service): connect_args = {"check_same_thread": False} else: connect_args = {} - return create_engine(self.database_url, connect_args=connect_args) + return create_engine(self.database_url, connect_args=connect_args, max_overflow=-1) def __enter__(self): self._session = Session(self.engine) diff --git a/src/backend/langflow/services/session/service.py b/src/backend/langflow/services/session/service.py index ac0f1fa1f..059d82bec 100644 --- a/src/backend/langflow/services/session/service.py +++ b/src/backend/langflow/services/session/service.py @@ -1,4 +1,4 @@ -from typing import TYPE_CHECKING +from typing import TYPE_CHECKING, Optional from langflow.interface.run import build_sorted_vertices from langflow.services.base import Service @@ -14,14 +14,15 @@ class SessionService(Service): def __init__(self, cache_service): self.cache_service: "BaseCacheService" = cache_service - async def load_session(self, key, data_graph): + async def load_session(self, key, data_graph: Optional[dict] = None): # Check if the data is cached if key in self.cache_service: return self.cache_service.get(key) if key is None: key = self.generate_key(session_id=None, data_graph=data_graph) - + if data_graph is None: + return (None, None) # If not cached, build the graph and cache it graph, artifacts = await build_sorted_vertices(data_graph) diff --git a/src/frontend/src/App.tsx b/src/frontend/src/App.tsx index 2bbab91f7..d126f5fa9 100644 --- a/src/frontend/src/App.tsx +++ b/src/frontend/src/App.tsx @@ -23,7 +23,6 @@ import useFlowsManagerStore from "./stores/flowsManagerStore"; import { useTypesStore } from "./stores/typesStore"; export default function App() { - const errorData = useAlertStore((state) => state.errorData); const errorOpen = useAlertStore((state) => state.errorOpen); const setErrorOpen = useAlertStore((state) => state.setErrorOpen); diff --git a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx index 09af96c6f..9720a9862 100644 --- a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx @@ -57,6 +57,7 @@ export default function ParameterComponent({ proxy, showNode, index = "", + isMinimized, }: ParameterComponentType): JSX.Element { const ref = useRef(null); const refHtml = useRef(null); @@ -131,25 +132,24 @@ export default function ParameterComponent({ if (data.node!.template[name].value !== code) { takeSnapshot(); } - - + setNode(data.id, (oldNode) => { let newNode = cloneDeep(oldNode); - + newNode.data = { ...newNode.data, node: newNodeClass, description: newNodeClass.description ?? data.node!.description, display_name: newNodeClass.display_name ?? data.node!.display_name, }; - + newNode.data.node.template[name].value = code; - + return newNode; }); - + updateNodeInternals(data.id); - + renderTooltips(); }; @@ -273,9 +273,11 @@ export default function ParameterComponent({ ) : ( (null); const [handles, setHandles] = useState([]); + const [isMinimized, setIsMinimized] = useState(false); let numberOfInputs: boolean[] = []; + const updateNodeInternals = useUpdateNodeInternals(); const takeSnapshot = useFlowsManagerStore((state) => state.takeSnapshot); @@ -105,6 +107,10 @@ export default function GenericNode({ const nameEditable = data.node?.flow || data.type === "CustomComponent"; + useEffect(() => { + updateNodeInternals(data.id); + }, [isMinimized]); + return ( <> @@ -123,6 +129,7 @@ export default function GenericNode({ }} numberOfHandles={handles} showNode={showNode} + setIsMinimized={setIsMinimized} > @@ -276,6 +283,7 @@ export default function GenericNode({ } proxy={data.node?.template[templateField].proxy} showNode={showNode} + isMinimized={isMinimized} /> ) )} @@ -302,6 +310,7 @@ export default function GenericNode({ type={data.node?.base_classes.join("|")} left={false} showNode={showNode} + isMinimized={isMinimized} /> )} @@ -506,6 +515,7 @@ export default function GenericNode({ } proxy={data.node?.template[templateField].proxy} showNode={showNode} + isMinimized={isMinimized} /> ) : ( <> @@ -549,6 +559,7 @@ export default function GenericNode({ type={data.node?.base_classes.join("|")} left={false} showNode={showNode} + isMinimized={isMinimized} /> )} diff --git a/src/frontend/src/components/chatComponent/index.tsx b/src/frontend/src/components/chatComponent/index.tsx index a8ad3fc7c..cbe978933 100644 --- a/src/frontend/src/components/chatComponent/index.tsx +++ b/src/frontend/src/components/chatComponent/index.tsx @@ -5,7 +5,6 @@ import BuildTrigger from "./buildTrigger"; import ChatTrigger from "./chatTrigger"; import * as _ from "lodash"; -import { getBuildStatus } from "../../controllers/API"; import FormModal from "../../modals/formModal"; import useFlowStore from "../../stores/flowStore"; import { NodeType } from "../../types/flow"; @@ -32,17 +31,6 @@ export default function Chat({ flow }: ChatType): JSX.Element { }; }, [isBuilt]); - useEffect(() => { - // Define an async function within the useEffect hook - const fetchBuildStatus = async () => { - const response = await getBuildStatus(flow.id); - setIsBuilt(response.data.built); - }; - - // Call the async function - fetchBuildStatus(); - }, [flow]); - const prevNodesRef = useRef(); const nodes: NodeType[] = useNodes(); useEffect(() => { diff --git a/src/frontend/src/components/codeTabsComponent/index.tsx b/src/frontend/src/components/codeTabsComponent/index.tsx index e28ac51d0..2bea4265f 100644 --- a/src/frontend/src/components/codeTabsComponent/index.tsx +++ b/src/frontend/src/components/codeTabsComponent/index.tsx @@ -35,7 +35,6 @@ import { convertObjToArray, convertValuesToNumbers, hasDuplicateKeys, - unselectAllNodes, } from "../../utils/reactflowUtils"; import { classNames } from "../../utils/utils"; import DictComponent from "../dictComponent"; @@ -54,6 +53,7 @@ export default function CodeTabsComponent({ const [data, setData] = useState(flow ? flow["data"]!["nodes"] : null); const [openAccordion, setOpenAccordion] = useState([]); const dark = useDarkStore((state) => state.dark); + const unselectAll = useFlowStore((state) => state.unselectAll); const setNodes = useFlowStore((state) => state.setNodes); @@ -67,12 +67,7 @@ export default function CodeTabsComponent({ useEffect(() => { if (tweaks && data) { - unselectAllNodes({ - data, - updateNodes: (nodes) => { - setNodes(nodes); - }, - }); + unselectAll(); } }, []); @@ -593,14 +588,7 @@ export default function CodeTabsComponent({ ].type === "prompt" ? (
{ handleOnNewValue(value, templateParam); }} - id={"prompt-area-edit" + index} + id={ + "prompt-area-edit-" + + myData.node.template[templateParam].name + } data-testid={ - "modal-prompt-input-" + index + "modal-prompt-input-" + + myData.node.template[templateParam].name } />
diff --git a/src/frontend/src/modals/genericModal/index.tsx b/src/frontend/src/modals/genericModal/index.tsx index 03908fb2f..44173057f 100644 --- a/src/frontend/src/modals/genericModal/index.tsx +++ b/src/frontend/src/modals/genericModal/index.tsx @@ -126,7 +126,8 @@ export default function GenericModal({ if ( JSON.stringify(apiReturn.data?.frontend_node) !== JSON.stringify({}) ) { - setNodeClass!(apiReturn.data?.frontend_node, inputValue); + if (setNodeClass) + setNodeClass(apiReturn.data?.frontend_node, inputValue); setModalOpen(closeModal); setIsEdit(false); } diff --git a/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx index 634083b2c..9e127e688 100644 --- a/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx +++ b/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx @@ -9,7 +9,6 @@ import ReactFlow, { OnMove, OnSelectionChangeParams, SelectionDragHandler, - addEdge, updateEdge, } from "reactflow"; import GenericNode from "../../../../CustomNodes/GenericNode"; @@ -19,13 +18,12 @@ import useFlowStore from "../../../../stores/flowStore"; import useFlowsManagerStore from "../../../../stores/flowsManagerStore"; import { useTypesStore } from "../../../../stores/typesStore"; import { APIClassType } from "../../../../types/api"; -import { FlowType, NodeType, targetHandleType } from "../../../../types/flow"; +import { FlowType, NodeType } from "../../../../types/flow"; import { generateFlow, generateNodeFromFlow, getNodeId, isValidConnection, - scapeJSONParse, validateSelection, } from "../../../../utils/reactflowUtils"; import { getRandomName, isWrappedWithClass } from "../../../../utils/utils"; @@ -175,8 +173,8 @@ export default function Page({ useEffect(() => { return () => { cleanFlow(); - } - }, []) + }; + }, []); const onConnectMod = useCallback( (params: Connection) => { @@ -332,7 +330,7 @@ export default function Page({
{Object.keys(templates).length > 0 && - Object.keys(types).length > 0 ? ( + Object.keys(types).length > 0 ? (
@@ -97,6 +98,10 @@ export default function NodeToolbarComponent({ showconfirmShare, ]); + useEffect(() => { + setIsMinimized(!showNode); + }, [showNode]); + const handleSelectChange = (event) => { switch (event) { case "advanced": diff --git a/src/frontend/src/stores/flowStore.ts b/src/frontend/src/stores/flowStore.ts index d8338428b..7f5d500f3 100644 --- a/src/frontend/src/stores/flowStore.ts +++ b/src/frontend/src/stores/flowStore.ts @@ -201,7 +201,7 @@ const useFlowStore = create((set, get) => ({ .map((node) => ({ ...node, selected: false })) .concat({ ...newNode, selected: false }); }); - set({ nodes: newNodes }); + get().setNodes(newNodes); selection.edges.forEach((edge: Edge) => { let source = idsMap[edge.source]; @@ -245,7 +245,7 @@ const useFlowStore = create((set, get) => ({ newEdges.map((edge) => ({ ...edge, selected: false })) ); }); - set({ edges: newEdges }); + get().setEdges(newEdges); }, setLastCopiedSelection: (newSelection) => { set({ lastCopiedSelection: newSelection }); @@ -265,7 +265,7 @@ const useFlowStore = create((set, get) => ({ }, getFilterEdge: [], onConnect: (connection) => { - let newEdges: Edge[] = [] + let newEdges: Edge[] = []; get().setEdges((oldEdges) => { newEdges = addEdge( { @@ -287,8 +287,7 @@ const useFlowStore = create((set, get) => ({ oldEdges ); return newEdges; - - }) + }); useFlowsManagerStore .getState() .autoSaveCurrentFlow( @@ -297,6 +296,17 @@ const useFlowStore = create((set, get) => ({ get().reactFlowInstance?.getViewport() ?? { x: 0, y: 0, zoom: 1 } ); }, + unselectAll: () => { + let newNodes = cloneDeep(get().nodes); + newNodes.forEach((node) => { + node.selected = false; + let newEdges = cleanEdges(newNodes, get().edges); + set({ + nodes: newNodes, + edges: newEdges, + }); + }); + }, })); export default useFlowStore; diff --git a/src/frontend/src/stores/typesStore.ts b/src/frontend/src/stores/typesStore.ts index 90f2c5b9b..b84887774 100644 --- a/src/frontend/src/stores/typesStore.ts +++ b/src/frontend/src/stores/typesStore.ts @@ -43,5 +43,4 @@ export const useTypesStore = create((set, get) => ({ let newChange = typeof change === "function" ? change(get().data) : change; set({ data: newChange }); }, - })); diff --git a/src/frontend/src/types/components/index.ts b/src/frontend/src/types/components/index.ts index 0548981ec..6ed102590 100644 --- a/src/frontend/src/types/components/index.ts +++ b/src/frontend/src/types/components/index.ts @@ -53,6 +53,7 @@ export type ParameterComponentType = { showNode?: boolean; index?: string; onCloseModal?: (close: boolean) => void; + isMinimized?: boolean; }; export type InputListComponentType = { value: string[]; @@ -479,6 +480,7 @@ export type nodeToolbarPropsType = { setShowNode: (boolean: any) => void; numberOfHandles: boolean[] | []; showNode: boolean; + setIsMinimized: (boolean: boolean) => void; }; export type parsedDataType = { diff --git a/src/frontend/src/types/zustand/flow/index.ts b/src/frontend/src/types/zustand/flow/index.ts index 273a1958f..1555b82c2 100644 --- a/src/frontend/src/types/zustand/flow/index.ts +++ b/src/frontend/src/types/zustand/flow/index.ts @@ -54,4 +54,5 @@ export type FlowStoreType = { setFilterEdge: (newState) => void; getFilterEdge: any[]; onConnect: (connection: Connection) => void; + unselectAll: () => void; }; diff --git a/src/frontend/src/utils/reactflowUtils.ts b/src/frontend/src/utils/reactflowUtils.ts index 8d222349a..902f3c82c 100644 --- a/src/frontend/src/utils/reactflowUtils.ts +++ b/src/frontend/src/utils/reactflowUtils.ts @@ -475,7 +475,7 @@ export function convertArrayToObj(arrayOfObjects) { export function hasDuplicateKeys(array) { const keys = {}; // Transforms an empty object into an object array without opening the 'editNode' modal to prevent the flow build from breaking. - if (!Array.isArray(array)) array = [{"": ""}]; + if (!Array.isArray(array)) array = [{ "": "" }]; for (const obj of array) { for (const key in obj) { if (keys[key]) { diff --git a/src/frontend/tests/end-to-end/promptModalComponent.spec.ts b/src/frontend/tests/end-to-end/promptModalComponent.spec.ts index 56e3396a7..690ec2d05 100644 --- a/src/frontend/tests/end-to-end/promptModalComponent.spec.ts +++ b/src/frontend/tests/end-to-end/promptModalComponent.spec.ts @@ -44,7 +44,7 @@ test("PromptTemplateComponent", async ({ page }) => { await page.getByTestId("genericModalBtnSave").click(); - await page.getByTestId("div-textarea-5").click(); + await page.getByTestId("div-textarea-prompt").click(); await page.getByTestId("text-area-modal").fill("prompt_value_!@#!@#"); value = await page.getByTestId("text-area-modal").inputValue(); @@ -55,7 +55,7 @@ test("PromptTemplateComponent", async ({ page }) => { await page.getByTestId("genericModalBtnSave").click(); - await page.getByTestId("div-textarea-6").click(); + await page.getByTestId("div-textarea-prompt1").click(); await page .getByTestId("text-area-modal") .fill("prompt_name_test_123123!@#!@#"); @@ -77,29 +77,31 @@ test("PromptTemplateComponent", async ({ page }) => { await page.getByTestId("more-options-modal").click(); await page.getByTestId("edit-button-modal").click(); - value = await page.locator('//*[@id="textarea-edit-1"]').inputValue(); + value = await page.locator('//*[@id="textarea-edit-prompt"]').inputValue(); if (value != "prompt_value_!@#!@#") { expect(false).toBeTruthy(); } - value = await page.locator('//*[@id="textarea-edit-2"]').inputValue(); + value = await page.locator('//*[@id="textarea-edit-prompt1"]').inputValue(); if (value != "prompt_name_test_123123!@#!@#") { expect(false).toBeTruthy(); } - value = await page.locator('//*[@id="prompt-area-edit0"]').innerText(); + value = await page + .locator('//*[@id="prompt-area-edit-template"]') + .innerText(); if (value != "{prompt} example {prompt1}") { expect(false).toBeTruthy(); } await page - .locator('//*[@id="textarea-edit-2"]') + .locator('//*[@id="textarea-edit-prompt1"]') .fill("prompt_edit_test_12312312321!@#$"); await page - .locator('//*[@id="textarea-edit-1"]') + .locator('//*[@id="textarea-edit-prompt"]') .fill("prompt_edit_test_44444444444!@#$"); await page.locator('//*[@id="showtemplate"]').click(); @@ -141,35 +143,29 @@ test("PromptTemplateComponent", async ({ page }) => { await page.locator('//*[@id="saveChangesBtn"]').click(); - const plusButtonLocator = page.locator('//*[@id="textarea-8"]'); - const elementCount = await plusButtonLocator.count(); - if (elementCount === 0) { - expect(true).toBeTruthy(); + await page.getByTestId("more-options-modal").click(); + await page.getByTestId("edit-button-modal").click(); - await page.getByTestId("more-options-modal").click(); - await page.getByTestId("edit-button-modal").click(); + await page.locator('//*[@id="showprompt1"]').click(); + expect(await page.locator('//*[@id="showprompt1"]').isChecked()).toBeTruthy(); - await page.locator('//*[@id="showprompt1"]').click(); - expect( - await page.locator('//*[@id="showprompt1"]').isChecked() - ).toBeTruthy(); + value = await page.locator('//*[@id="textarea-edit-prompt"]').inputValue(); - value = await page.locator('//*[@id="textarea-edit-1"]').inputValue(); + if (value != "prompt_edit_test_44444444444!@#$") { + expect(false).toBeTruthy(); + } - if (value != "prompt_edit_test_44444444444!@#$") { - expect(false).toBeTruthy(); - } + value = await page.locator('//*[@id="textarea-edit-prompt1"]').inputValue(); - value = await page.locator('//*[@id="textarea-edit-2"]').inputValue(); + if (value != "prompt_edit_test_12312312321!@#$") { + expect(false).toBeTruthy(); + } - if (value != "prompt_edit_test_12312312321!@#$") { - expect(false).toBeTruthy(); - } + value = await page + .locator('//*[@id="prompt-area-edit-template"]') + .innerText(); - value = await page.locator('//*[@id="prompt-area-edit0"]').innerText(); - - if (value != "{prompt} example {prompt1}") { - expect(false).toBeTruthy(); - } + if (value != "{prompt} example {prompt1}") { + expect(false).toBeTruthy(); } }); diff --git a/src/frontend/tests/onlyFront/group.spec.ts b/src/frontend/tests/onlyFront/group.spec.ts index f4cbe8458..dcd557279 100644 --- a/src/frontend/tests/onlyFront/group.spec.ts +++ b/src/frontend/tests/onlyFront/group.spec.ts @@ -67,7 +67,7 @@ test.describe("group node test", () => { await page.getByRole("button", { name: "Group" }).click(); - const textArea = page.getByTestId("div-textarea-2"); + const textArea = page.getByTestId("div-textarea-description"); const elementCountText = await textArea.count(); if (elementCountText > 0) { expect(true).toBeTruthy(); diff --git a/src/frontend/tests/onlyFront/nestedComponent.spec.ts b/src/frontend/tests/onlyFront/nestedComponent.spec.ts index 6b51a3c5e..0a90533f4 100644 --- a/src/frontend/tests/onlyFront/nestedComponent.spec.ts +++ b/src/frontend/tests/onlyFront/nestedComponent.spec.ts @@ -26,8 +26,7 @@ test("NestedComponent", async ({ page }) => { .getByTestId("vectorstoresPinecone") .first() .dragTo(page.locator('//*[@id="react-flow-id"]')); - await page.mouse.up(); - await page.mouse.down(); + await page.click('//*[@id="react-flow-id"]'); await page.getByTestId("more-options-modal").click(); await page.getByTestId("edit-button-modal").click(); diff --git a/src/frontend/tests/onlyFront/saveComponents.spec.ts b/src/frontend/tests/onlyFront/saveComponents.spec.ts index a123a422e..10a0c9c77 100644 --- a/src/frontend/tests/onlyFront/saveComponents.spec.ts +++ b/src/frontend/tests/onlyFront/saveComponents.spec.ts @@ -74,7 +74,7 @@ test.describe("save component tests", () => { await page.getByRole("button", { name: "Group" }).click(); - let textArea = page.getByTestId("div-textarea-2"); + let textArea = page.getByTestId("div-textarea-description"); let elementCountText = await textArea.count(); if (elementCountText > 0) { expect(true).toBeTruthy(); @@ -102,7 +102,7 @@ test.describe("save component tests", () => { await page.mouse.up(); await page.mouse.down(); - textArea = page.getByTestId("div-textarea-2"); + textArea = page.getByTestId("div-textarea-description"); elementCountText = await textArea.count(); if (elementCountText > 0) { expect(true).toBeTruthy();