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anovazzi1 2024-04-12 13:53:34 -03:00
commit 601a9eff47
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94
.github/actions/poetry_caching/action.yml vendored Normal file
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@ -0,0 +1,94 @@
# An action for setting up poetry install with caching.
# Using a custom action since the default action does not
# take poetry install groups into account.
# Action code from:
# https://github.com/actions/setup-python/issues/505#issuecomment-1273013236
# Copy of https://github.com/langchain-ai/langchain/blob/2f8dd1a1619f25daa4737df4d378b1acd6ff83c4/.github/actions/poetry_setup/action.yml
name: poetry-install-with-caching
description: Poetry install with support for caching of dependency groups.
inputs:
python-version:
description: Python version, supporting MAJOR.MINOR only
required: true
poetry-version:
description: Poetry version
required: true
cache-key:
description: Cache key to use for manual handling of caching
required: true
working-directory:
description: Directory whose poetry.lock file should be cached
required: true
runs:
using: composite
steps:
- uses: actions/setup-python@v5
name: Setup python ${{ inputs.python-version }}
id: setup-python
with:
python-version: ${{ inputs.python-version }}
- uses: actions/cache@v4
id: cache-bin-poetry
name: Cache Poetry binary - Python ${{ inputs.python-version }}
env:
SEGMENT_DOWNLOAD_TIMEOUT_MIN: "1"
with:
path: |
/opt/pipx/venvs/poetry
# This step caches the poetry installation, so make sure it's keyed on the poetry version as well.
key: bin-poetry-${{ runner.os }}-${{ runner.arch }}-py-${{ inputs.python-version }}-${{ inputs.poetry-version }}
- name: Refresh shell hashtable and fixup softlinks
if: steps.cache-bin-poetry.outputs.cache-hit == 'true'
shell: bash
env:
POETRY_VERSION: ${{ inputs.poetry-version }}
PYTHON_VERSION: ${{ inputs.python-version }}
run: |
set -eux
# Refresh the shell hashtable, to ensure correct `which` output.
hash -r
# `actions/cache@v3` doesn't always seem able to correctly unpack softlinks.
# Delete and recreate the softlinks pipx expects to have.
rm /opt/pipx/venvs/poetry/bin/python
cd /opt/pipx/venvs/poetry/bin
ln -s "$(which "python$PYTHON_VERSION")" python
chmod +x python
cd /opt/pipx_bin/
ln -s /opt/pipx/venvs/poetry/bin/poetry poetry
chmod +x poetry
# Ensure everything got set up correctly.
/opt/pipx/venvs/poetry/bin/python --version
/opt/pipx_bin/poetry --version
- name: Install poetry
if: steps.cache-bin-poetry.outputs.cache-hit != 'true'
shell: bash
env:
POETRY_VERSION: ${{ inputs.poetry-version }}
PYTHON_VERSION: ${{ inputs.python-version }}
# Install poetry using the python version installed by setup-python step.
run: pipx install "poetry==$POETRY_VERSION" --python '${{ steps.setup-python.outputs.python-path }}' --verbose
- name: Restore pip and poetry cached dependencies
uses: actions/cache@v4
env:
SEGMENT_DOWNLOAD_TIMEOUT_MIN: "4"
WORKDIR: ${{ inputs.working-directory == '' && '.' || inputs.working-directory }}
with:
path: |
~/.cache/pip
~/.cache/pypoetry/virtualenvs
~/.cache/pypoetry/cache
~/.cache/pypoetry/artifacts
${{ env.WORKDIR }}/.venv
key: py-deps-${{ runner.os }}-${{ runner.arch }}-py-${{ inputs.python-version }}-poetry-${{ inputs.poetry-version }}-${{ inputs.cache-key }}-${{ hashFiles(format('{0}/**/poetry.lock', env.WORKDIR)) }}

22
.github/workflows/lint.yml vendored
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@ -26,20 +26,24 @@ jobs:
- "3.11"
steps:
- uses: actions/checkout@v4
- name: Install poetry
run: |
pipx install poetry==$POETRY_VERSION
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
id: setup-python
- name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
uses: "./.github/actions/poetry_caching"
with:
python-version: ${{ matrix.python-version }}
cache: poetry
poetry-version: ${{ env.POETRY_VERSION }}
cache-key: ${{ runner.os }}-poetry-${{ env.POETRY_VERSION }}-${{ hashFiles('**/poetry.lock') }}
- name: Install Python dependencies
run: |
poetry env use ${{ matrix.python-version }}
poetry install
if: ${{ steps.setup-python.outputs.cache-hit != 'true' }}
- name: Analysing the code with our lint
- name: Get .mypy_cache to speed up mypy
uses: actions/cache@v4
env:
SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
with:
path: |
./.mypy_cache
key: ${{ runner.os }}-mypy-${{ hashFiles('**/pyproject.toml') }}
- name: Lint check
run: |
make lint

13
.github/workflows/python_test.yml vendored
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@ -29,19 +29,16 @@ jobs:
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
steps:
- uses: actions/checkout@v4
- name: Install poetry
run: pipx install poetry==$POETRY_VERSION
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v5
id: setup-python
- name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
uses: "./.github/actions/poetry_caching"
with:
python-version: ${{ matrix.python-version }}
cache: "poetry"
poetry-version: ${{ env.POETRY_VERSION }}
cache-key: ${{ runner.os }}-poetry-${{ env.POETRY_VERSION }}-${{ hashFiles('**/poetry.lock') }}
- name: Install Python dependencies
run: |
poetry env use ${{ matrix.python-version }}
poetry install
if: ${{ steps.setup-python.outputs.cache-hit != 'true' }}
- name: Run unit tests
run: |
make tests
make tests args="-n auto"

3
.gitignore vendored
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@ -264,4 +264,5 @@ scratchpad*
chroma*/*
stuff/*
src/frontend/playwright-report/index.html
*.bak
*.bak
prof/*

20
Makefile
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@ -8,6 +8,14 @@ env ?= .env
open_browser ?= true
path = src/backend/base/langflow/frontend
codespell:
@poetry install --with spelling
poetry run codespell --toml pyproject.toml
fix_codespell:
@poetry install --with spelling
poetry run codespell --toml pyproject.toml --write
setup_poetry:
pipx install poetry
@ -39,20 +47,16 @@ coverage:
# allow passing arguments to pytest
tests:
@make install_backend
poetry run pytest tests --instafail $(args)
# Use like:
format:
poetry run ruff . --fix
poetry run ruff check . --fix
poetry run ruff format .
cd src/frontend && npm run format
lint:
make install_backend
poetry run mypy --namespace-packages -p "langflow"
poetry run ruff . --fix
install_frontend:
cd src/frontend && npm install
@ -129,12 +133,12 @@ frontendc:
make run_frontend
install_backend:
@echo 'Setting up the environment'
@make setup_env
@echo 'Installing backend dependencies'
@poetry install --extras deploy
@poetry install
backend:
@echo 'Setting up the environment'
@make setup_env
make install_backend
@-kill -9 `lsof -t -i:7860`
ifdef login

2
base.Dockerfile
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@ -57,7 +57,7 @@ RUN apt-get update \
# install poetry - respects $POETRY_VERSION & $POETRY_HOME
# The --mount will mount the buildx cache directory to where
# Poetry and Pip store their cache so that they can re-use it
# Poetry and Pip store their cache so that they can reuse it
RUN --mount=type=cache,target=/root/.cache \
curl -sSL https://install.python-poetry.org | python3 -

2
deploy/base.Dockerfile
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@ -56,7 +56,7 @@ RUN apt-get update \
# install poetry - respects $POETRY_VERSION & $POETRY_HOME
# The --mount will mount the buildx cache directory to where
# Poetry and Pip store their cache so that they can re-use it
# Poetry and Pip store their cache so that they can reuse it
RUN --mount=type=cache,target=/root/.cache \
curl -sSL https://install.python-poetry.org | python3 -

70
docker_example/README.md
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@ -1,9 +1,65 @@
# LangFlow Docker Running
# Running LangFlow with Docker
```sh
git clone git@github.com:logspace-ai/langflow.git
cd langflow/docker_example
docker compose up
```
This guide will help you get LangFlow up and running using Docker and Docker Compose.
The web UI will be accessible on port [7860](http://localhost:7860/)
## Prerequisites
- Docker
- Docker Compose
## Steps
1. Clone the LangFlow repository:
```sh
git clone https://github.com/langflow-ai/langflow.git
```
2. Navigate to the `docker_example` directory:
```sh
cd langflow/docker_example
```
3. Run the Docker Compose file:
```sh
docker compose up
```
LangFlow will now be accessible at [http://localhost:7860/](http://localhost:7860/).
## Docker Compose Configuration
The Docker Compose configuration spins up two services: `langflow` and `postgres`.
### LangFlow Service
The `langflow` service uses the `logspace/langflow:latest` Docker image and exposes port 7860. It depends on the `postgres` service.
Environment variables:
- `LANGFLOW_DATABASE_URL`: The connection string for the PostgreSQL database.
- `LANGFLOW_CONFIG_DIR`: The directory where LangFlow stores logs, file storage, monitor data, and secret keys.
Volumes:
- `langflow-data`: This volume is mapped to `/var/lib/langflow` in the container.
### PostgreSQL Service
The `postgres` service uses the `postgres:16` Docker image and exposes port 5432.
Environment variables:
- `POSTGRES_USER`: The username for the PostgreSQL database.
- `POSTGRES_PASSWORD`: The password for the PostgreSQL database.
- `POSTGRES_DB`: The name of the PostgreSQL database.
Volumes:
- `langflow-postgres`: This volume is mapped to `/var/lib/postgresql/data` in the container.
## Switching to a Specific LangFlow Version
If you want to use a specific version of LangFlow, you can modify the `image` field under the `langflow` service in the Docker Compose file. For example, to use version 1.0-alpha, change `logspace/langflow:latest` to `logspace/langflow:1.0-alpha`.

3
docker_example/pre.Dockerfile Normal file
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@ -0,0 +1,3 @@
FROM logspace/langflow:1.0-alpha
CMD ["python", "-m", "langflow", "run", "--host", "0.0.0.0", "--port", "7860"]

30
docker_example/pre.docker-compose.yml Normal file
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@ -0,0 +1,30 @@
version: "3.8"
services:
langflow:
image: logspace/langflow:1.0-alpha
ports:
- "7860:7860"
depends_on:
- postgres
environment:
- LANGFLOW_DATABASE_URL=postgresql://langflow:langflow@postgres:5432/langflow
# This variable defines where the logs, file storage, monitor data and secret keys are stored.
- LANGFLOW_CONFIG_DIR=/var/lib/langflow
volumes:
- langflow-data:/var/lib/langflow
postgres:
image: postgres:16
environment:
POSTGRES_USER: langflow
POSTGRES_PASSWORD: langflow
POSTGRES_DB: langflow
ports:
- "5432:5432"
volumes:
- langflow-postgres:/var/lib/postgresql/data
volumes:
langflow-postgres:
langflow-data:

503
poetry.lock generated
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@ -2,87 +2,87 @@
[[package]]
name = "aiohttp"
version = "3.9.3"
version = "3.9.4"
description = "Async http client/server framework (asyncio)"
optional = false
python-versions = ">=3.8"
files = [
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{file = "ruff-0.3.6.tar.gz", hash = "sha256:26071fb530038602b984e3bbe1443ef82a38450c4dcb1344a9caf67234ff9756"},
]
[[package]]
@ -10256,11 +10240,10 @@ test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
[extras]
all = []
deploy = ["celery", "flower", "redis"]
local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.10,<3.12"
content-hash = "0d658da1ee75640f74d7335685760091df2a452e84eef81dcda2590dd4044e92"
content-hash = "9dd152b30031767c522c77e2ad5fc4597a8d1590b13968af143bd382e056b2a1"

22
pyproject.toml
View file

@ -1,6 +1,6 @@
[tool.poetry]
name = "langflow"
version = "1.0.0a15"
version = "1.0.0a18"
description = "A Python package with a built-in web application"
authors = ["Logspace <contact@logspace.ai>"]
maintainers = [
@ -85,10 +85,10 @@ langchain-openai = "^0.1.1"
[tool.poetry.group.dev.dependencies]
types-redis = "^4.6.0.5"
ipykernel = "^6.29.0"
mypy = "^1.8.0"
ruff = "^0.2.1"
mypy = "^1.9.0"
ruff = "^0.3.5"
httpx = "*"
pytest = "^8.0.0"
pytest = "^8.1.0"
types-requests = "^2.31.0"
requests = "^2.31.0"
pytest-cov = "^4.1.0"
@ -106,11 +106,23 @@ pytest-sugar = "^1.0.0"
respx = "^0.21.1"
pytest-instafail = "^0.5.0"
pytest-asyncio = "^0.23.0"
pytest-profiling = "^1.7.0"
[tool.poetry.extras]
deploy = ["celery", "redis", "flower"]
local = ["llama-cpp-python", "sentence-transformers", "ctransformers"]
all = ["deploy", "local"]
[tool.poetry.group.spelling]
optional = true
[tool.poetry.group.spelling.dependencies]
codespell = "^2.2.6"
[tool.codespell]
skip = '.git,*.pdf,*.svg,*.pdf,*.yaml,*.ipynb,poetry.lock,*.min.js,*.css,package-lock.json,*.trig'
# Ignore latin etc
ignore-regex = '.*(Stati Uniti|Tense=Pres).*'
[tool.pytest.ini_options]

41
src/backend/base/langflow/__main__.py
View file

@ -9,12 +9,6 @@ import click
import httpx
import typer
from dotenv import load_dotenv
from langflow.main import setup_app
from langflow.services.database.utils import session_getter
from langflow.services.deps import get_db_service
from langflow.services.utils import initialize_services
from langflow.utils.logger import configure, logger
from langflow.utils.util import update_settings
from multiprocess import Process, cpu_count # type: ignore
from packaging import version as pkg_version
from rich import box
@ -23,6 +17,13 @@ from rich.console import Console
from rich.panel import Panel
from rich.table import Table
from langflow.main import setup_app
from langflow.services.database.utils import session_getter
from langflow.services.deps import get_db_service
from langflow.services.utils import initialize_services
from langflow.utils.logger import configure, logger
from langflow.utils.util import update_settings
console = Console()
app = typer.Typer(no_args_is_help=True)
@ -151,17 +152,21 @@ def run(
# Define an env variable to know if we are just testing the server
if "pytest" in sys.modules:
return
if platform.system() in ["Windows"]:
# Run using uvicorn on MacOS and Windows
# Windows doesn't support gunicorn
# MacOS requires an env variable to be set to use gunicorn
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)
if open_browser:
click.launch(f"http://{host}:{port}")
try:
if platform.system() in ["Windows"]:
# Run using uvicorn on MacOS and Windows
# Windows doesn't support gunicorn
# MacOS requires an env variable to be set to use gunicorn
process = run_on_windows(host, port, log_level, options, app)
else:
# Run using gunicorn on Linux
process = run_on_mac_or_linux(host, port, log_level, options, app)
if open_browser:
click.launch(f"http://{host}:{port}")
if process:
process.join()
except KeyboardInterrupt:
pass
def wait_for_server_ready(host, port):
@ -182,6 +187,7 @@ def run_on_mac_or_linux(host, port, log_level, options, app):
wait_for_server_ready(host, port)
print_banner(host, port)
return webapp_process
def run_on_windows(host, port, log_level, options, app):
@ -190,6 +196,7 @@ def run_on_windows(host, port, log_level, options, app):
"""
print_banner(host, port)
run_langflow(host, port, log_level, options, app)
return None
def is_port_in_use(port, host="localhost"):

99
src/backend/base/langflow/alembic/versions/79e675cb6752_change_datetime_type.py Normal file
View file

@ -0,0 +1,99 @@
"""Change datetime type
Revision ID: 79e675cb6752
Revises: e3bc869fa272
Create Date: 2024-04-11 19:23:10.697335
"""
from calendar import c
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects import postgresql
from sqlalchemy.engine.reflection import Inspector
# revision identifiers, used by Alembic.
revision: str = "79e675cb6752"
down_revision: Union[str, None] = "e3bc869fa272"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
table_names = inspector.get_table_names()
# ### commands auto generated by Alembic - please adjust! ###
if "apikey" in table_names:
columns = inspector.get_columns("apikey")
created_at_column = next((column for column in columns if column["name"] == "created_at"), None)
if created_at_column is not None and created_at_column["type"] == postgresql.TIMESTAMP():
with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.alter_column(
"created_at",
existing_type=postgresql.TIMESTAMP(),
type_=sa.DateTime(timezone=True),
existing_nullable=False,
)
if "variable" in table_names:
columns = inspector.get_columns("variable")
created_at_column = next((column for column in columns if column["name"] == "created_at"), None)
updated_at_column = next((column for column in columns if column["name"] == "updated_at"), None)
with op.batch_alter_table("variable", schema=None) as batch_op:
if created_at_column is not None and created_at_column["type"] == postgresql.TIMESTAMP():
batch_op.alter_column(
"created_at",
existing_type=postgresql.TIMESTAMP(),
type_=sa.DateTime(timezone=True),
existing_nullable=True,
)
if updated_at_column is not None and updated_at_column["type"] == postgresql.TIMESTAMP():
batch_op.alter_column(
"updated_at",
existing_type=postgresql.TIMESTAMP(),
type_=sa.DateTime(timezone=True),
existing_nullable=True,
)
# ### end Alembic commands ###
def downgrade() -> None:
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
table_names = inspector.get_table_names()
# ### commands auto generated by Alembic - please adjust! ###
if "variable" in table_names:
columns = inspector.get_columns("variable")
created_at_column = next((column for column in columns if column["name"] == "created_at"), None)
updated_at_column = next((column for column in columns if column["name"] == "updated_at"), None)
with op.batch_alter_table("variable", schema=None) as batch_op:
if updated_at_column is not None and updated_at_column["type"] == sa.DateTime(timezone=True):
batch_op.alter_column(
"updated_at",
existing_type=sa.DateTime(timezone=True),
type_=postgresql.TIMESTAMP(),
existing_nullable=True,
)
if created_at_column is not None and created_at_column["type"] == sa.DateTime(timezone=True):
batch_op.alter_column(
"created_at",
existing_type=sa.DateTime(timezone=True),
type_=postgresql.TIMESTAMP(),
existing_nullable=True,
)
if "apikey" in table_names:
columns = inspector.get_columns("apikey")
created_at_column = next((column for column in columns if column["name"] == "created_at"), None)
if created_at_column is not None and created_at_column["type"] == sa.DateTime(timezone=True):
with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.alter_column(
"created_at",
existing_type=sa.DateTime(timezone=True),
type_=postgresql.TIMESTAMP(),
existing_nullable=False,
)
# ### end Alembic commands ###

68
src/backend/base/langflow/alembic/versions/e3bc869fa272_fix_nullable.py Normal file
View file

@ -0,0 +1,68 @@
"""Fix nullable
Revision ID: e3bc869fa272
Revises: 1a110b568907
Create Date: 2024-04-10 19:17:22.820455
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
from sqlalchemy.engine.reflection import Inspector
# revision identifiers, used by Alembic.
revision: str = "e3bc869fa272"
down_revision: Union[str, None] = "1a110b568907"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
table_names = inspector.get_table_names()
# ### commands auto generated by Alembic - please adjust! ###
if "variable" not in table_names:
return
columns = [column for column in inspector.get_columns("variable")]
column_names = [column["name"] for column in columns]
with op.batch_alter_table("variable", schema=None) as batch_op:
if "created_at" in column_names:
created_at_colunmn = next(column for column in columns if column["name"] == "created_at")
if created_at_colunmn["nullable"] is False:
batch_op.alter_column(
"created_at",
existing_type=sa.TIMESTAMP(timezone=True),
nullable=True,
# existing_server_default expects str | bool | Identity | Computed | None
# sa.text("now()") is not a valid value for existing_server_default
existing_server_default=False,
)
# ### end Alembic commands ###
def downgrade() -> None:
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
table_names = inspector.get_table_names()
# ### commands auto generated by Alembic - please adjust! ###
if "variable" not in table_names:
return
columns = [column for column in inspector.get_columns("variable")]
column_names = [column["name"] for column in columns]
with op.batch_alter_table("variable", schema=None) as batch_op:
if "created_at" in column_names:
created_at_colunmn = next(column for column in columns if column["name"] == "created_at")
if created_at_colunmn["nullable"] is True:
batch_op.alter_column(
"created_at",
existing_type=sa.TIMESTAMP(timezone=True),
nullable=False,
existing_server_default=False,
)
# ### end Alembic commands ###

2
src/backend/base/langflow/api/v1/validate.py
View file

@ -4,7 +4,7 @@ from fastapi import APIRouter, HTTPException
from loguru import logger
from langflow.api.v1.base import Code, CodeValidationResponse, PromptValidationResponse, ValidatePromptRequest
from langflow.base.prompts.utils import (
from langflow.base.prompts.api_utils import (
add_new_variables_to_template,
get_old_custom_fields,
remove_old_variables_from_template,

83
src/backend/base/langflow/base/prompts/api_utils.py Normal file
View file

@ -0,0 +1,83 @@
from fastapi import HTTPException
from langchain.prompts import PromptTemplate
from loguru import logger
from langflow.api.v1.base import INVALID_NAMES, check_input_variables
from langflow.interface.utils import extract_input_variables_from_prompt
from langflow.template.field.prompt import DefaultPromptField
def validate_prompt(prompt_template: str, silent_errors: bool = False) -> list[str]:
input_variables = extract_input_variables_from_prompt(prompt_template)
# 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)}. ")
try:
PromptTemplate(template=prompt_template, input_variables=input_variables)
except Exception as exc:
logger.error(f"Invalid prompt: {exc}")
if not silent_errors:
raise ValueError(f"Invalid prompt: {exc}") from exc
return input_variables
def get_old_custom_fields(custom_fields, name):
try:
if len(custom_fields) == 1 and 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
name = list(custom_fields.keys())[0]
old_custom_fields = custom_fields[name]
if not old_custom_fields:
old_custom_fields = []
old_custom_fields = old_custom_fields.copy()
except KeyError:
old_custom_fields = []
custom_fields[name] = []
return old_custom_fields
def add_new_variables_to_template(input_variables, custom_fields, template, name):
for variable in input_variables:
try:
template_field = DefaultPromptField(name=variable, display_name=variable)
if variable in template:
# Set the new field with the old value
template_field.value = template[variable]["value"]
template[variable] = template_field.to_dict()
# Check if variable is not already in the list before appending
if variable not in custom_fields[name]:
custom_fields[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, custom_fields, template, name):
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 custom_fields[name]:
custom_fields[name].remove(variable)
# Remove the variable from the template
template.pop(variable, None)
except Exception as exc:
logger.exception(exc)
raise HTTPException(status_code=500, detail=str(exc)) from exc
def update_input_variables_field(input_variables, template):
if "input_variables" in template:
template["input_variables"]["value"] = input_variables

108
src/backend/base/langflow/base/prompts/utils.py
View file

@ -1,12 +1,19 @@
from fastapi import HTTPException
from langchain.prompts import PromptTemplate
from langchain_core.documents import Document
from loguru import logger
from langflow.api.v1.base import INVALID_NAMES, check_input_variables
from langflow.interface.utils import extract_input_variables_from_prompt
from langflow.schema import Record
from langflow.template.field.prompt import DefaultPromptField
def record_to_string(record: Record) -> str:
"""
Convert a record to a string.
Args:
record (Record): The record to convert.
Returns:
str: The record as a string.
"""
return record.get_text()
def dict_values_to_string(d: dict) -> dict:
@ -35,19 +42,6 @@ def dict_values_to_string(d: dict) -> dict:
return d
def record_to_string(record: Record) -> str:
"""
Convert a record to a string.
Args:
record (Record): The record to convert.
Returns:
str: The record as a string.
"""
return record.get_text()
def document_to_string(document: Document) -> str:
"""
Convert a document to a string.
@ -59,79 +53,3 @@ def document_to_string(document: Document) -> str:
str: The document as a string.
"""
return document.page_content
def validate_prompt(prompt_template: str, silent_errors: bool = False) -> list[str]:
input_variables = extract_input_variables_from_prompt(prompt_template)
# 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)}. ")
try:
PromptTemplate(template=prompt_template, input_variables=input_variables)
except Exception as exc:
logger.error(f"Invalid prompt: {exc}")
if not silent_errors:
raise ValueError(f"Invalid prompt: {exc}") from exc
return input_variables
def get_old_custom_fields(custom_fields, name):
try:
if len(custom_fields) == 1 and 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
name = list(custom_fields.keys())[0]
old_custom_fields = custom_fields[name]
if not old_custom_fields:
old_custom_fields = []
old_custom_fields = old_custom_fields.copy()
except KeyError:
old_custom_fields = []
custom_fields[name] = []
return old_custom_fields
def add_new_variables_to_template(input_variables, custom_fields, template, name):
for variable in input_variables:
try:
template_field = DefaultPromptField(name=variable, display_name=variable)
if variable in template:
# Set the new field with the old value
template_field.value = template[variable]["value"]
template[variable] = template_field.to_dict()
# Check if variable is not already in the list before appending
if variable not in custom_fields[name]:
custom_fields[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, custom_fields, template, name):
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 custom_fields[name]:
custom_fields[name].remove(variable)
# Remove the variable from the template
template.pop(variable, None)
except Exception as exc:
logger.exception(exc)
raise HTTPException(status_code=500, detail=str(exc)) from exc
def update_input_variables_field(input_variables, template):
if "input_variables" in template:
template["input_variables"]["value"] = input_variables

8
src/backend/base/langflow/components/chains/LLMChain.py
View file

@ -1,9 +1,10 @@
from typing import Optional
from langchain.chains import LLMChain
from langchain.chains.llm import LLMChain
from langflow.field_typing import BaseLanguageModel, BaseMemory, BasePromptTemplate, Text
from langflow.field_typing import BaseLanguageModel, BaseMemory, Text
from langflow.interface.custom.custom_component import CustomComponent
from langchain_core.prompts import PromptTemplate
class LLMChainComponent(CustomComponent):
@ -19,10 +20,11 @@ class LLMChainComponent(CustomComponent):
def build(
self,
prompt: BasePromptTemplate,
template: Text,
llm: BaseLanguageModel,
memory: Optional[BaseMemory] = None,
) -> Text:
prompt = PromptTemplate.from_template(template)
runnable = LLMChain(prompt=prompt, llm=llm, memory=memory)
result_dict = runnable.invoke({})
output_key = runnable.output_key

2
src/backend/base/langflow/components/vectorsearch/PineconeSearch.py
View file

@ -71,6 +71,8 @@ class PineconeSearchComponent(PineconeComponent, LCVectorStoreComponent):
)
if not vector_store:
raise ValueError("Failed to load the Pinecone index.")
if search_kwargs is None:
search_kwargs = {}
return self.search_with_vector_store(
vector_store=vector_store,

3
src/backend/base/langflow/components/vectorsearch/QdrantSearch.py
View file

@ -86,12 +86,13 @@ class QdrantSearchComponent(QdrantComponent, LCVectorStoreComponent):
port=port,
prefer_grpc=prefer_grpc,
prefix=prefix,
search_kwargs=search_kwargs,
timeout=timeout,
url=url,
)
if not vector_store:
raise ValueError("Failed to load the Qdrant index.")
if search_kwargs is None:
search_kwargs = {}
return self.search_with_vector_store(
vector_store=vector_store,

2
src/backend/base/langflow/components/vectorstores/AstraDB.py
View file

@ -105,7 +105,7 @@ class AstraDBVectorStoreComponent(CustomComponent):
bulk_insert_batch_concurrency: Optional[int] = None,
bulk_insert_overwrite_concurrency: Optional[int] = None,
bulk_delete_concurrency: Optional[int] = None,
setup_mode: str = "Async",
setup_mode: str = "Sync",
pre_delete_collection: bool = False,
metadata_indexing_include: Optional[List[str]] = None,
metadata_indexing_exclude: Optional[List[str]] = None,

2
src/backend/base/langflow/components/vectorstores/MongoDBAtlasVector.py
View file

@ -1,7 +1,7 @@
from typing import List, Optional
from langchain_community.vectorstores.mongodb_atlas import MongoDBAtlasVectorSearch
from langflow.field_typing import Embeddings, NestedDict
from langflow.field_typing import Embeddings
from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema.schema import Record

2
src/backend/base/langflow/components/vectorstores/Qdrant.py
View file

@ -4,7 +4,7 @@ from langchain.schema import BaseRetriever
from langchain_community.vectorstores import VectorStore
from langchain_community.vectorstores.qdrant import Qdrant
from langflow.field_typing import Embeddings, NestedDict
from langflow.field_typing import Embeddings
from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema.schema import Record

2
src/backend/base/langflow/components/vectorstores/SupabaseVectorStore.py
View file

@ -5,7 +5,7 @@ from langchain_community.vectorstores import VectorStore
from langchain_community.vectorstores.supabase import SupabaseVectorStore
from supabase.client import Client, create_client
from langflow.field_typing import Embeddings, NestedDict
from langflow.field_typing import Embeddings
from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema.schema import Record

33
src/backend/base/langflow/graph/graph/base.py
View file

@ -918,7 +918,7 @@ class Graph:
return ChatVertex
elif node_name in ["ShouldRunNext"]:
return RoutingVertex
elif node_name in ["SharedState", "Notify", "GetNotified"]:
elif node_name in ["SharedState", "Notify", "Listen"]:
return StateVertex
elif node_base_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP:
return lazy_load_vertex_dict.VERTEX_TYPE_MAP[node_base_type]
@ -1130,6 +1130,34 @@ class Graph:
return vertices_layers
def sort_layer_by_dependency(self, vertices_layers: List[List[str]]) -> List[List[str]]:
"""Sorts the vertices in each layer by dependency, ensuring no vertex depends on a subsequent vertex."""
sorted_layers = []
for layer in vertices_layers:
sorted_layer = self._sort_single_layer_by_dependency(layer)
sorted_layers.append(sorted_layer)
return sorted_layers
def _sort_single_layer_by_dependency(self, layer: List[str]) -> List[str]:
"""Sorts a single layer by dependency using a stable sorting method."""
# Build a map of each vertex to its index in the layer for quick lookup.
index_map = {vertex: index for index, vertex in enumerate(layer)}
# Create a sorted copy of the layer based on dependency order.
sorted_layer = sorted(layer, key=lambda vertex: self._max_dependency_index(vertex, index_map), reverse=True)
return sorted_layer
def _max_dependency_index(self, vertex_id: str, index_map: Dict[str, int]) -> int:
"""Finds the highest index a given vertex's dependencies occupy in the same layer."""
vertex = self.get_vertex(vertex_id)
max_index = -1
for successor in vertex.successors: # Assuming vertex.successors is a list of successor vertex identifiers.
if successor.id in index_map:
max_index = max(max_index, index_map[successor.id])
return max_index
def sort_vertices(
self,
stop_component_id: Optional[str] = None,
@ -1151,6 +1179,9 @@ class Graph:
vertices_layers = self.layered_topological_sort(vertices)
vertices_layers = self.sort_by_avg_build_time(vertices_layers)
# vertices_layers = self.sort_chat_inputs_first(vertices_layers)
# Now we should sort each layer in a way that we make sure
# vertex V does not depend on vertex V+1
vertices_layers = self.sort_layer_by_dependency(vertices_layers)
self.increment_run_count()
self._sorted_vertices_layers = vertices_layers
first_layer = vertices_layers[0]

4
src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json
View file

File diff suppressed because one or more lines are too long

11
src/backend/base/langflow/interface/run.py
View file

@ -5,17 +5,6 @@ from loguru import logger
from langflow.graph import Graph
async def build_sorted_vertices(data_graph, flow_id: str) -> Tuple[Graph, Dict]:
"""
Build langchain object from data_graph.
"""
logger.debug("Building langchain object")
graph = Graph.from_payload(data_graph, flow_id=flow_id)
return graph, {}
def get_memory_key(langchain_object):
"""
Given a LangChain object, this function retrieves the current memory key from the object's memory attribute.

3
src/backend/base/langflow/main.py
View file

@ -10,6 +10,7 @@ from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import FileResponse
from fastapi.staticfiles import StaticFiles
from loguru import logger
from rich import print as rprint
from langflow.api import router
from langflow.initial_setup.setup import create_or_update_starter_projects
@ -28,6 +29,8 @@ def get_lifespan(fix_migration=False, socketio_server=None):
LangfuseInstance.update()
create_or_update_starter_projects()
yield
# Shutdown message
rprint("[bold red]Shutting down Langflow...[/bold red]")
teardown_services()
return lifespan

17
src/backend/base/langflow/server.py
View file

@ -1,4 +1,6 @@
import asyncio
import logging
import signal
from gunicorn import glogging # type: ignore
from gunicorn.app.base import BaseApplication # type: ignore
@ -10,6 +12,21 @@ from langflow.utils.logger import InterceptHandler # type: ignore
class LangflowUvicornWorker(UvicornWorker):
CONFIG_KWARGS = {"loop": "asyncio"}
def _install_sigint_handler(self) -> None:
"""Install a SIGQUIT handler on workers.
- https://github.com/encode/uvicorn/issues/1116
- https://github.com/benoitc/gunicorn/issues/2604
"""
loop = asyncio.get_running_loop()
loop.add_signal_handler(signal.SIGINT, self.handle_exit, signal.SIGINT, None)
async def _serve(self) -> None:
# We do this to not log the "Worker (pid:XXXXX) was sent SIGINT"
self._install_sigint_handler()
await super()._serve()
class Logger(glogging.Logger):
"""Implements and overrides the gunicorn logging interface.

2
src/backend/base/langflow/services/auth/utils.py
View file

@ -211,7 +211,7 @@ def create_super_user(
return super_user
def create_user_longterm_token(db: Session = Depends(get_session)) -> dict:
def create_user_longterm_token(db: Session = Depends(get_session)) -> tuple[UUID, dict]:
settings_service = get_settings_service()
username = settings_service.auth_settings.SUPERUSER
password = settings_service.auth_settings.SUPERUSER_PASSWORD

12
src/backend/base/langflow/services/database/models/api_key/model.py
View file

@ -1,8 +1,8 @@
from datetime import datetime
from datetime import datetime, timezone
from typing import TYPE_CHECKING, Optional
from uuid import UUID, uuid4
from pydantic import validator
from pydantic import field_validator, validator
from sqlmodel import Field, Relationship, SQLModel, Column, func, DateTime
if TYPE_CHECKING:
@ -11,7 +11,9 @@ if TYPE_CHECKING:
class ApiKeyBase(SQLModel):
name: Optional[str] = Field(index=True, nullable=True, default=None)
created_at: datetime = Field(sa_column=Column(DateTime(timezone=True), server_default=func.now(), nullable=False))
created_at: datetime = Field(
default=None, sa_column=Column(DateTime(timezone=True), server_default=func.now(), nullable=False)
)
last_used_at: Optional[datetime] = Field(default=None, nullable=True)
total_uses: int = Field(default=0)
is_active: bool = Field(default=True)
@ -33,6 +35,10 @@ class ApiKeyCreate(ApiKeyBase):
api_key: Optional[str] = None
user_id: Optional[UUID] = None
@field_validator("created_at", mode="before")
def set_created_at(cls, v):
return v or datetime.now(timezone.utc)
class UnmaskedApiKeyRead(ApiKeyBase):
id: UUID

10
src/backend/base/langflow/services/database/models/variable/model.py
View file

@ -26,11 +26,13 @@ class Variable(VariableBase, table=True):
)
# name is unique per user
created_at: datetime = Field(
sa_column=Column(DateTime(timezone=True), server_default=func.now(), nullable=False),
default=None,
sa_column=Column(DateTime(timezone=True), server_default=func.now(), nullable=True),
description="Creation time of the variable",
)
updated_at: Optional[datetime] = Field(
sa_column=Column(DateTime(timezone=True)),
default=None,
sa_column=Column(DateTime(timezone=True), nullable=True),
description="Last update time of the variable",
)
# foreign key to user table
@ -39,7 +41,9 @@ class Variable(VariableBase, table=True):
class VariableCreate(VariableBase):
type: Optional[str] = Field(None, description="Type of the variable")
created_at: Optional[datetime] = Field(default_factory=utc_now, description="Creation time of the variable")
updated_at: Optional[datetime] = Field(default_factory=utc_now, description="Creation time of the variable")
class VariableRead(SQLModel):

16
src/backend/base/langflow/services/database/service.py
View file

@ -1,21 +1,22 @@
from datetime import datetime
import time
from datetime import datetime
from pathlib import Path
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
@ -195,7 +196,10 @@ class DatabaseService(Service):
# 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]
# get all models that are subclasses of SQLModel
sql_models = [
model for model in models.__dict__.values() if isinstance(model, type) and issubclass(model, SQLModel)
]
return [TableResults(sql_model.__tablename__, self.check_table(sql_model)) for sql_model in sql_models]
def check_table(self, model):

61
src/backend/base/langflow/services/deps.py
View file

@ -1,7 +1,7 @@
from contextlib import contextmanager
from typing import TYPE_CHECKING, Generator
from langflow.services import ServiceType, service_manager
from langflow.services.schema import ServiceType
if TYPE_CHECKING:
from sqlmodel import Session
@ -21,7 +21,7 @@ if TYPE_CHECKING:
from langflow.services.variable.service import VariableService
def get_service(service_type: ServiceType):
def get_service(service_type: ServiceType, default=None):
"""
Retrieves the service instance for the given service type.
@ -32,7 +32,13 @@ def get_service(service_type: ServiceType):
Any: The service instance.
"""
return service_manager.get(service_type) # type: ignore
from langflow.services.manager import service_manager
if not service_manager.factories:
#! This is a workaround to ensure that the service manager is initialized
#! Not optimal, but it works for now
service_manager.register_factories()
return service_manager.get(service_type, default) # type: ignore
def get_state_service() -> "StateService":
@ -42,7 +48,9 @@ def get_state_service() -> "StateService":
Returns:
The StateService instance.
"""
return service_manager.get(ServiceType.STATE_SERVICE) # type: ignore
from langflow.services.state.factory import StateServiceFactory
return get_service(ServiceType.STATE_SERVICE, StateServiceFactory()) # type: ignore
def get_socket_service() -> "SocketIOService":
@ -52,7 +60,7 @@ def get_socket_service() -> "SocketIOService":
Returns:
SocketIOService: The SocketIOService instance.
"""
return service_manager.get(ServiceType.SOCKETIO_SERVICE) # type: ignore
return get_service(ServiceType.SOCKETIO_SERVICE) # type: ignore
def get_storage_service() -> "StorageService":
@ -62,7 +70,9 @@ def get_storage_service() -> "StorageService":
Returns:
The storage service instance.
"""
return service_manager.get(ServiceType.STORAGE_SERVICE) # type: ignore
from langflow.services.storage.factory import StorageServiceFactory
return get_service(ServiceType.STORAGE_SERVICE, default=StorageServiceFactory()) # type: ignore
def get_variable_service() -> "VariableService":
@ -73,7 +83,9 @@ def get_variable_service() -> "VariableService":
The VariableService instance.
"""
return service_manager.get(ServiceType.VARIABLE_SERVICE) # type: ignore
from langflow.services.variable.factory import VariableServiceFactory
return get_service(ServiceType.VARIABLE_SERVICE, VariableServiceFactory()) # type: ignore
def get_plugins_service() -> "PluginService":
@ -83,7 +95,7 @@ def get_plugins_service() -> "PluginService":
Returns:
PluginService: The PluginService instance.
"""
return service_manager.get(ServiceType.PLUGIN_SERVICE) # type: ignore
return get_service(ServiceType.PLUGIN_SERVICE) # type: ignore
def get_settings_service() -> "SettingsService":
@ -98,14 +110,9 @@ def get_settings_service() -> "SettingsService":
Raises:
ValueError: If the service cannot be retrieved or initialized.
"""
try:
return service_manager.get(ServiceType.SETTINGS_SERVICE) # type: ignore
except ValueError:
# initialize settings service
from langflow.services.manager import initialize_settings_service
from langflow.services.settings.factory import SettingsServiceFactory
initialize_settings_service()
return service_manager.get(ServiceType.SETTINGS_SERVICE) # type: ignore
return get_service(ServiceType.SETTINGS_SERVICE, SettingsServiceFactory()) # type: ignore
def get_db_service() -> "DatabaseService":
@ -116,7 +123,9 @@ def get_db_service() -> "DatabaseService":
The DatabaseService instance.
"""
return service_manager.get(ServiceType.DATABASE_SERVICE) # type: ignore
from langflow.services.database.factory import DatabaseServiceFactory
return get_service(ServiceType.DATABASE_SERVICE, DatabaseServiceFactory()) # type: ignore
def get_session() -> Generator["Session", None, None]:
@ -165,7 +174,9 @@ def get_cache_service() -> "CacheService":
Returns:
The cache service instance.
"""
return service_manager.get(ServiceType.CACHE_SERVICE) # type: ignore
from langflow.services.cache.factory import CacheServiceFactory
return get_service(ServiceType.CACHE_SERVICE, CacheServiceFactory()) # type: ignore
def get_session_service() -> "SessionService":
@ -175,7 +186,9 @@ def get_session_service() -> "SessionService":
Returns:
The session service instance.
"""
return service_manager.get(ServiceType.SESSION_SERVICE) # type: ignore
from langflow.services.session.factory import SessionServiceFactory
return get_service(ServiceType.SESSION_SERVICE, SessionServiceFactory()) # type: ignore
def get_monitor_service() -> "MonitorService":
@ -185,7 +198,9 @@ def get_monitor_service() -> "MonitorService":
Returns:
MonitorService: The MonitorService instance.
"""
return service_manager.get(ServiceType.MONITOR_SERVICE) # type: ignore
from langflow.services.monitor.factory import MonitorServiceFactory
return get_service(ServiceType.MONITOR_SERVICE, MonitorServiceFactory()) # type: ignore
def get_task_service() -> "TaskService":
@ -196,7 +211,9 @@ def get_task_service() -> "TaskService":
The TaskService instance.
"""
return service_manager.get(ServiceType.TASK_SERVICE) # type: ignore
from langflow.services.task.factory import TaskServiceFactory
return get_service(ServiceType.TASK_SERVICE, TaskServiceFactory()) # type: ignore
def get_chat_service() -> "ChatService":
@ -206,7 +223,7 @@ def get_chat_service() -> "ChatService":
Returns:
ChatService: The chat service instance.
"""
return service_manager.get(ServiceType.CHAT_SERVICE) # type: ignore
return get_service(ServiceType.CHAT_SERVICE) # type: ignore
def get_store_service() -> "StoreService":
@ -216,4 +233,4 @@ def get_store_service() -> "StoreService":
Returns:
StoreService: The StoreService instance.
"""
return service_manager.get(ServiceType.STORE_SERVICE) # type: ignore
return get_service(ServiceType.STORE_SERVICE) # type: ignore

68
src/backend/base/langflow/services/manager.py
View file

@ -1,13 +1,20 @@
from typing import TYPE_CHECKING, Dict
import importlib
import inspect
from typing import TYPE_CHECKING, Dict, Optional
from loguru import logger
if TYPE_CHECKING:
from langflow.services.base import Service
from langflow.services.factory import ServiceFactory
from langflow.services.schema import ServiceType
class NoFactoryRegisteredError(Exception):
pass
class ServiceManager:
"""
Manages the creation of different services.
@ -16,6 +23,15 @@ class ServiceManager:
def __init__(self):
self.services: Dict[str, "Service"] = {}
self.factories = {}
self.register_factories()
def register_factories(self):
for factory in self.get_factories():
try:
self.register_factory(factory)
except Exception as exc:
logger.exception(exc)
logger.error(f"Error initializing {factory}: {exc}")
def register_factory(
self,
@ -28,24 +44,28 @@ class ServiceManager:
service_name = service_factory.service_class.name
self.factories[service_name] = service_factory
def get(self, service_name: "ServiceType") -> "Service":
def get(self, service_name: "ServiceType", default: Optional["ServiceFactory"] = None) -> "Service":
"""
Get (or create) a service by its name.
"""
if service_name not in self.services:
self._create_service(service_name)
self._create_service(service_name, default)
return self.services[service_name]
def _create_service(self, service_name: "ServiceType"):
def _create_service(self, service_name: "ServiceType", default: Optional["ServiceFactory"] = None):
"""
Create a new service given its name, handling dependencies.
"""
logger.debug(f"Create service {service_name}")
self._validate_service_creation(service_name)
self._validate_service_creation(service_name, default)
# Create dependencies first
factory = self.factories.get(service_name)
if factory is None and default is not None:
self.register_factory(default)
factory = default
for dependency in factory.dependencies:
if dependency not in self.services:
self._create_service(dependency)
@ -57,12 +77,12 @@ class ServiceManager:
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"):
def _validate_service_creation(self, service_name: "ServiceType", default: Optional["ServiceFactory"] = None):
"""
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}'")
if service_name not in self.factories and default is None:
raise NoFactoryRegisteredError(f"No factory registered for the service class '{service_name.name}'")
def update(self, service_name: "ServiceType"):
"""
@ -88,6 +108,34 @@ class ServiceManager:
self.services = {}
self.factories = {}
@staticmethod
def get_factories():
from langflow.services.factory import ServiceFactory
from langflow.services.schema import ServiceType
service_names = [ServiceType(service_type).value.replace("_service", "") for service_type in ServiceType]
base_module = "langflow.services"
factories = []
for name in service_names:
try:
module_name = f"{base_module}.{name}.factory"
module = importlib.import_module(module_name)
# Find all classes in the module that are subclasses of ServiceFactory
for name, obj in inspect.getmembers(module, inspect.isclass):
if issubclass(obj, ServiceFactory) and obj is not ServiceFactory:
factories.append(obj())
break
except Exception as exc:
logger.exception(exc)
raise RuntimeError(
f"Could not initialize services. Please check your settings. Error in {name}."
) from exc
return factories
service_manager = ServiceManager()
@ -106,9 +154,7 @@ def initialize_session_service():
Initialize the session manager.
"""
from langflow.services.cache import factory as cache_factory
from langflow.services.session import (
factory as session_service_factory,
) # type: ignore
from langflow.services.session import factory as session_service_factory # type: ignore
initialize_settings_service()

2
src/backend/base/langflow/services/schema.py
View file

@ -19,5 +19,5 @@ class ServiceType(str, Enum):
VARIABLE_SERVICE = "variable_service"
STORAGE_SERVICE = "storage_service"
MONITOR_SERVICE = "monitor_service"
SOCKETIO_SERVICE = "socket_service"
# SOCKETIO_SERVICE = "socket_service"
STATE_SERVICE = "state_service"

5
src/backend/base/langflow/services/session/service.py
View file

@ -1,6 +1,5 @@
from typing import Coroutine, Optional
from langflow.interface.run import build_sorted_vertices
from langflow.services.base import Service
from langflow.services.cache.base import CacheService
from langflow.services.session.utils import compute_dict_hash, session_id_generator
@ -25,8 +24,10 @@ class SessionService(Service):
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, flow_id)
from langflow.graph.graph.base import Graph
graph = Graph.from_payload(data_graph, flow_id=flow_id)
artifacts: dict = {}
await self.cache_service.set(key, (graph, artifacts))
return graph, artifacts

59
src/backend/base/langflow/services/settings/base.py
View file

@ -7,12 +7,13 @@ from typing import Any, List, Optional, Tuple, Type
import orjson
import yaml
from langflow.services.settings.constants import VARIABLES_TO_GET_FROM_ENVIRONMENT
from loguru import logger
from pydantic import field_validator, validator
from pydantic.fields import FieldInfo
from pydantic_settings import BaseSettings, EnvSettingsSource, PydanticBaseSettingsSource, SettingsConfigDict
from langflow.services.settings.constants import VARIABLES_TO_GET_FROM_ENVIRONMENT
# BASE_COMPONENTS_PATH = str(Path(__file__).parent / "components")
BASE_COMPONENTS_PATH = str(Path(__file__).parent.parent.parent / "components")
@ -27,9 +28,16 @@ def is_list_of_any(field: FieldInfo) -> bool:
Returns:
bool: True if the field is a list or a list of any type, False otherwise.
"""
if field.annotation is None:
return False
try:
if hasattr(field.annotation, "__args__"):
union_args = field.annotation.__args__
else:
union_args = []
return field.annotation.__origin__ == list or any(
arg.__origin__ == list for arg in field.annotation.__args__ if hasattr(arg, "__origin__")
arg.__origin__ == list for arg in union_args if hasattr(arg, "__origin__")
)
except AttributeError:
return False
@ -92,9 +100,9 @@ class Settings(BaseSettings):
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"
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"
STORAGE_TYPE: str = "local"
@ -143,21 +151,50 @@ class Settings(BaseSettings):
# 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")
from langflow.version import is_pre_release # type: ignore
new_path = f"{values['CONFIG_DIR']}/langflow.db"
if Path("./langflow.db").exists():
pre_db_file_name = "langflow-pre.db"
db_file_name = "langflow.db"
new_pre_path = f"{values['CONFIG_DIR']}/{pre_db_file_name}"
new_path = f"{values['CONFIG_DIR']}/{db_file_name}"
final_path = None
if is_pre_release:
if Path(new_pre_path).exists():
final_path = new_pre_path
elif Path(new_path).exists():
# We need to copy the current db to the new location
logger.debug("Copying existing database to new location")
copy2(new_path, new_pre_path)
logger.debug(f"Copied existing database to {new_pre_path}")
elif Path(f"./{db_file_name}").exists():
logger.debug("Copying existing database to new location")
copy2(f"./{db_file_name}", new_pre_path)
logger.debug(f"Copied existing database to {new_pre_path}")
else:
logger.debug(f"Database already exists at {new_pre_path}, using it")
final_path = new_pre_path
else:
if Path(new_path).exists():
logger.debug(f"Database already exists at {new_path}, using it")
else:
final_path = new_path
elif Path("./{db_file_name}").exists():
try:
logger.debug("Copying existing database to new location")
copy2("./langflow.db", new_path)
copy2("./{db_file_name}", new_path)
logger.debug(f"Copied existing database to {new_path}")
except Exception:
logger.error("Failed to copy database, using default path")
new_path = "./langflow.db"
new_path = "./{db_file_name}"
else:
final_path = new_path
value = f"sqlite:///{new_path}"
if final_path is None:
if is_pre_release:
final_path = new_pre_path
else:
final_path = new_path
value = f"sqlite:///{final_path}"
return value

56
src/backend/base/langflow/services/utils.py
View file

@ -1,41 +1,13 @@
import importlib
import inspect
from loguru import logger
from sqlmodel import Session, select
from langflow.services.auth.utils import create_super_user, verify_password
from langflow.services.cache.factory import CacheServiceFactory
from langflow.services.database.utils import initialize_database
from langflow.services.factory import ServiceFactory
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 langflow.services.socket.utils import set_socketio_server
from .deps import get_db_service, get_session, get_settings_service
def get_factories():
service_names = [ServiceType(service_type).value.replace("_service", "") for service_type in ServiceType]
base_module = "langflow.services"
factories = []
for name in service_names:
try:
module_name = f"{base_module}.{name}.factory"
module = importlib.import_module(module_name)
# Find all classes in the module that are subclasses of ServiceFactory
for name, obj in inspect.getmembers(module, inspect.isclass):
if issubclass(obj, ServiceFactory) and obj is not ServiceFactory:
factories.append(obj())
break
except Exception as exc:
logger.exception(exc)
raise RuntimeError(f"Could not initialize services. Please check your settings. Error in {name}.") from exc
return factories
from .deps import get_db_service, get_service, get_session, get_settings_service
def get_or_create_super_user(session: Session, username, password, is_default):
@ -145,6 +117,8 @@ def teardown_services():
except Exception as exc:
logger.exception(exc)
try:
from langflow.services.manager import service_manager
service_manager.teardown()
except Exception as exc:
logger.exception(exc)
@ -156,7 +130,7 @@ def initialize_settings_service():
"""
from langflow.services.settings import factory as settings_factory
service_manager.register_factory(settings_factory.SettingsServiceFactory())
get_service(ServiceType.SETTINGS_SERVICE, settings_factory.SettingsServiceFactory())
def initialize_session_service():
@ -168,11 +142,13 @@ def initialize_session_service():
initialize_settings_service()
service_manager.register_factory(
get_service(
ServiceType.CACHE_SERVICE,
cache_factory.CacheServiceFactory(),
)
service_manager.register_factory(
get_service(
ServiceType.SESSION_SERVICE,
session_service_factory.SessionServiceFactory(),
)
@ -181,27 +157,17 @@ def initialize_services(fix_migration: bool = False, socketio_server=None):
"""
Initialize all the services needed.
"""
for factory in get_factories():
try:
service_manager.register_factory(factory)
except Exception as exc:
logger.exception(exc)
logger.error(f"Error initializing {factory}: {exc}")
# Test cache connection
service_manager.get(ServiceType.CACHE_SERVICE)
get_service(ServiceType.CACHE_SERVICE, default=CacheServiceFactory())
# Setup the superuser
try:
initialize_database(fix_migration=fix_migration)
except Exception as exc:
logger.error(exc)
raise exc
setup_superuser(service_manager.get(ServiceType.SETTINGS_SERVICE), next(get_session()))
setup_superuser(get_service(ServiceType.SETTINGS_SERVICE), next(get_session()))
try:
get_db_service().migrate_flows_if_auto_login()
except Exception as exc:
logger.error(f"Error migrating flows: {exc}")
raise RuntimeError("Error migrating flows") from exc
# Initialize the SocketIO service
set_socketio_server(socketio_server)

14
src/backend/base/langflow/services/variable/service.py
View file

@ -3,13 +3,14 @@ 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.variable.model import Variable
from langflow.services.deps import get_session
from loguru import logger
from sqlmodel import Session, select
from langflow.services.auth import utils as auth_utils
from langflow.services.base import Service
from langflow.services.database.models.variable.model import Variable, VariableCreate
from langflow.services.deps import get_session
if TYPE_CHECKING:
from langflow.services.settings.service import SettingsService
@ -93,14 +94,13 @@ class VariableService(Service):
_type: str = "Generic",
session: Session = Depends(get_session),
):
variable = Variable(
user_id=user_id,
variable_base = VariableCreate(
name=name,
type=_type,
value=auth_utils.encrypt_api_key(value, settings_service=self.settings_service),
)
variable = Variable.model_validate(variable_base, from_attributes=True, update={"user_id": user_id})
session.add(variable)
session.commit()
session.refresh(variable)
return variable
return variable

1943
src/backend/base/poetry.lock generated
View file

File diff suppressed because it is too large Load diff

26
src/backend/base/pyproject.toml
View file

@ -1,6 +1,6 @@
[tool.poetry]
name = "langflow-base"
version = "0.0.27"
version = "0.0.30"
description = "A Python package with a built-in web application"
authors = ["Logspace <contact@logspace.ai>"]
maintainers = [
@ -62,30 +62,6 @@ cryptography = "^42.0.5"
asyncer = "^0.0.5"
[tool.poetry.group.dev.dependencies]
pytest-asyncio = "^0.23.1"
types-redis = "^4.6.0.5"
ipykernel = "^6.26.0"
mypy = "^1.7.1"
ruff = "^0.3.5"
httpx = "*"
pytest = "^8.1.1"
types-requests = "^2.31.0"
requests = "^2.31.0"
pytest-cov = "^5.0.0"
pandas-stubs = "^2.2.1.230412"
types-pillow = "^10.2.0.0"
types-pyyaml = "^6.0.12.8"
types-python-jose = "^3.3.4.8"
types-passlib = "^1.7.7.13"
locust = "^2.24.1"
pytest-mock = "^3.14.0"
pytest-xdist = "^3.5.0"
types-pywin32 = "^306.0.0.4"
types-google-cloud-ndb = "^2.3.0.0"
pytest-sugar = "^1.0.0"
[tool.poetry.extras]
deploy = ["celery", "redis", "flower"]
local = ["llama-cpp-python", "sentence-transformers", "ctransformers"]

2
src/backend/langflow/version/__init__.py
View file

@ -1 +1 @@
from .version import __version__ # noqa: F401
from .version import __version__, is_pre_release # noqa: F401

3
src/backend/langflow/version/version.py
View file

@ -2,6 +2,9 @@ from importlib import metadata
try:
__version__ = metadata.version("langflow")
# Check if the version is a pre-release version
is_pre_release = any(label in __version__ for label in ["a", "b", "rc", "dev", "post"])
except metadata.PackageNotFoundError:
__version__ = ""
is_pre_release = False
del metadata

2
src/frontend/src/components/headerComponent/index.tsx
View file

@ -1,4 +1,4 @@
import { useContext, useEffect } from "react";
import { useContext } from "react";
import { FaDiscord, FaGithub } from "react-icons/fa";
import { RiTwitterXFill } from "react-icons/ri";
import { Link, useLocation, useNavigate, useParams } from "react-router-dom";

15
src/frontend/src/modals/IOModal/components/chatView/chatMessage/index.tsx
View file

@ -164,7 +164,12 @@ export default function ChatMessage({
{chat.thought && chat.thought !== "" && !hidden && <br></br>}
<div className="flex w-full flex-col">
<div className="flex w-full flex-col dark:text-white">
<div data-testid={"chat-message-"+chat.sender_name+"-"+chatMessage} className="flex w-full flex-col">
<div
data-testid={
"chat-message-" + chat.sender_name + "-" + chatMessage
}
className="flex w-full flex-col"
>
{useMemo(
() =>
chatMessage === "" && lockChat ? (
@ -313,7 +318,13 @@ dark:prose-invert"
</span>
</>
) : (
<span data-testid={"chat-message-"+chat.sender_name+"-"+chatMessage}>{chatMessage}</span>
<span
data-testid={
"chat-message-" + chat.sender_name + "-" + chatMessage
}
>
{chatMessage}
</span>
)}
</div>
)}

367
src/frontend/tests/end-to-end/assets/ChatTest.json
View file

File diff suppressed because one or more lines are too long

2
src/frontend/tests/end-to-end/chat_io.spec.ts
View file

@ -1,4 +1,4 @@
import { test,expect } from "@playwright/test";
import { expect, test } from "@playwright/test";
import { readFileSync } from "fs";
test("chat_io_teste", async ({ page }) => {

51
tests/conftest.py
View file

@ -10,6 +10,7 @@ import orjson
import pytest
from fastapi.testclient import TestClient
from httpx import AsyncClient
from sqlmodel import Session, SQLModel, create_engine, select
from langflow.graph.graph.base import Graph
from langflow.initial_setup.setup import STARTER_FOLDER_NAME
from langflow.services.auth.utils import get_password_hash
@ -27,25 +28,39 @@ if TYPE_CHECKING:
def pytest_configure():
pytest.BASIC_EXAMPLE_PATH = Path(__file__).parent.absolute() / "data" / "basic_example.json"
pytest.COMPLEX_EXAMPLE_PATH = Path(__file__).parent.absolute() / "data" / "complex_example.json"
pytest.COMPLEX_DEPS_EXAMPLE_PATH = Path(__file__).parent.absolute() / "data" / "complex_deps_example.json"
pytest.OPENAPI_EXAMPLE_PATH = Path(__file__).parent.absolute() / "data" / "Openapi.json"
pytest.GROUPED_CHAT_EXAMPLE_PATH = Path(__file__).parent.absolute() / "data" / "grouped_chat.json"
pytest.ONE_GROUPED_CHAT_EXAMPLE_PATH = Path(__file__).parent.absolute() / "data" / "one_group_chat.json"
pytest.VECTOR_STORE_GROUPED_EXAMPLE_PATH = Path(__file__).parent.absolute() / "data" / "vector_store_grouped.json"
data_path = Path(__file__).parent.absolute() / "data"
pytest.BASIC_CHAT_WITH_PROMPT_AND_HISTORY = (
Path(__file__).parent.absolute() / "data" / "BasicChatWithPromptAndHistory.json"
)
pytest.CHAT_INPUT = Path(__file__).parent.absolute() / "data" / "ChatInputTest.json"
pytest.TWO_OUTPUTS = Path(__file__).parent.absolute() / "data" / "TwoOutputsTest.json"
pytest.VECTOR_STORE_PATH = Path(__file__).parent.absolute() / "data" / "Vector_store.json"
pytest.BASIC_EXAMPLE_PATH = data_path / "basic_example.json"
pytest.COMPLEX_EXAMPLE_PATH = data_path / "complex_example.json"
pytest.OPENAPI_EXAMPLE_PATH = data_path / "Openapi.json"
pytest.GROUPED_CHAT_EXAMPLE_PATH = data_path / "grouped_chat.json"
pytest.ONE_GROUPED_CHAT_EXAMPLE_PATH = data_path / "one_group_chat.json"
pytest.VECTOR_STORE_GROUPED_EXAMPLE_PATH = data_path / "vector_store_grouped.json"
pytest.BASIC_CHAT_WITH_PROMPT_AND_HISTORY = data_path / "BasicChatwithPromptandHistory.json"
pytest.CHAT_INPUT = data_path / "ChatInputTest.json"
pytest.TWO_OUTPUTS = data_path / "TwoOutputsTest.json"
pytest.VECTOR_STORE_PATH = data_path / "Vector_store.json"
pytest.CODE_WITH_SYNTAX_ERROR = """
def get_text():
retun "Hello World"
"""
# validate that all the paths are correct and the files exist
for path in [
pytest.BASIC_EXAMPLE_PATH,
pytest.COMPLEX_EXAMPLE_PATH,
pytest.OPENAPI_EXAMPLE_PATH,
pytest.GROUPED_CHAT_EXAMPLE_PATH,
pytest.ONE_GROUPED_CHAT_EXAMPLE_PATH,
pytest.VECTOR_STORE_GROUPED_EXAMPLE_PATH,
pytest.BASIC_CHAT_WITH_PROMPT_AND_HISTORY,
pytest.CHAT_INPUT,
pytest.TWO_OUTPUTS,
pytest.VECTOR_STORE_PATH,
]:
assert path.exists(), f"File {path} does not exist. Available files: {list(data_path.iterdir())}"
@pytest.fixture(autouse=True)
def check_openai_api_key_in_environment_variables():
@ -192,16 +207,6 @@ def json_vector_store():
return f.read()
@pytest.fixture
def complex_graph_with_groups():
with open(pytest.COMPLEX_DEPS_EXAMPLE_PATH, "r") as f:
flow_graph = json.load(f)
data_graph = flow_graph["data"]
nodes = data_graph["nodes"]
edges = data_graph["edges"]
return Graph(nodes, edges)
@pytest.fixture(name="client", autouse=True)
def client_fixture(session: Session, monkeypatch, request):
# Set the database url to a test database

3
tests/test_api_key.py
View file

@ -1,5 +1,4 @@
import pytest
from langflow.services.database.models.api_key import ApiKeyCreate
@ -7,7 +6,7 @@ from langflow.services.database.models.api_key import ApiKeyCreate
def api_key(client, logged_in_headers, active_user):
api_key = ApiKeyCreate(name="test-api-key")
response = client.post("api/v1/api_key", data=api_key.json(), headers=logged_in_headers)
response = client.post("api/v1/api_key", data=api_key.model_dump_json(), headers=logged_in_headers)
assert response.status_code == 200, response.text
return response.json()

82
tests/test_cache_manager.py
View file

@ -1,82 +0,0 @@
from io import StringIO
import pandas as pd
import pytest
from langflow.services.chat.cache import CacheService
from PIL import Image
@pytest.fixture
def cache_service():
return CacheService()
def test_cache_service_attach_detach_notify(cache_service):
observer_called = False
def observer():
nonlocal observer_called
observer_called = True
cache_service.attach(observer)
cache_service.notify()
assert observer_called
observer_called = False
cache_service.detach(observer)
cache_service.notify()
assert not observer_called
def test_cache_service_client_context(cache_service):
with cache_service.set_client_id("client1"):
cache_service.add("foo", "bar", "string")
assert cache_service.get("foo") == {
"obj": "bar",
"type": "string",
"extension": "str",
}
with cache_service.set_client_id("client2"):
cache_service.add("baz", "qux", "string")
assert cache_service.get("baz") == {
"obj": "qux",
"type": "string",
"extension": "str",
}
with pytest.raises(KeyError):
cache_service.get("foo")
def test_cache_service_add_pandas(cache_service):
df = pd.DataFrame({"col1": [1, 2], "col2": [3, 4]})
with cache_service.set_client_id("client1"):
cache_service.add_pandas("test_df", df)
cached_df = cache_service.get("test_df")
assert cached_df["type"] == "pandas"
assert cached_df["extension"] == "csv"
read_df = pd.read_csv(StringIO(cached_df["obj"]), index_col=0)
pd.testing.assert_frame_equal(df, read_df)
def test_cache_service_add_image(cache_service):
img = Image.new("RGB", (50, 50), color="red")
with cache_service.set_client_id("client1"):
cache_service.add_image("test_image", img)
cached_img = cache_service.get("test_image")
assert cached_img["type"] == "image"
assert cached_img["extension"] == "png"
assert isinstance(cached_img["obj"], Image.Image)
def test_cache_service_get_last(cache_service):
with cache_service.set_client_id("client1"):
cache_service.add("foo", "bar", "string")
cache_service.add("baz", "qux", "string")
last_item = cache_service.get_last()
assert last_item == {"obj": "qux", "type": "string", "extension": "str"}

5
tests/test_endpoints.py
View file

@ -4,6 +4,7 @@ from uuid import uuid4
import pytest
from fastapi import status
from fastapi.testclient import TestClient
from langflow.interface.custom.directory_reader.directory_reader import DirectoryReader
from langflow.services.deps import get_settings_service
from langflow.template.frontend_node.chains import TimeTravelGuideChainNode
@ -447,7 +448,7 @@ def test_successful_run_no_payload(client, starter_project, created_api_key):
assert all([name in display_names for name in ["Chat Output"]])
inner_results = [output.get("results").get("result") for output in outputs_dict.get("outputs")]
assert all([len(result) > 0 for result in inner_results]), inner_results
assert all([result is not None for result in inner_results]), inner_results
def test_successful_run_with_output_type_text(client, starter_project, created_api_key):
@ -513,7 +514,7 @@ def test_successful_run_with_output_type_any(client, starter_project, created_ap
def test_successful_run_with_output_type_debug(client, starter_project, created_api_key):
# This one should return outputs for all components
# Let's just check the amount of outputs(there hsould be 7)
# Let's just check the amount of outputs(there should be 7)
headers = {"x-api-key": created_api_key.api_key}
flow_id = starter_project["id"]
payload = {

14
tests/test_graph.py
View file

@ -416,17 +416,3 @@ async def test_pickle_graph(json_vector_store):
assert pickled is not None
unpickled = pickle.loads(pickled)
assert unpickled is not None
@pytest.mark.asyncio
async def test_pickle_each_vertex(json_vector_store):
starter_projects = load_starter_projects()
data = starter_projects[0][1]["data"]
graph = Graph.from_payload(data)
assert isinstance(graph, Graph)
for vertex in graph.vertices:
await vertex.build()
pickled = pickle.dumps(vertex)
assert pickled is not None
unpickled = pickle.loads(pickled)
assert unpickled is not None

64
tests/test_initial_setup.py
View file

@ -1,17 +1,12 @@
from datetime import datetime
from pathlib import Path
import pytest
from langflow.graph.graph.base import Graph
from langflow.graph.schema import RunOutputs
from langflow.initial_setup.setup import (
STARTER_FOLDER_NAME,
create_or_update_starter_projects,
get_project_data,
load_starter_projects,
)
from langflow.memory import delete_messages
from langflow.processing.process import process_tweaks
from langflow.services.database.models.flow.model import Flow
from langflow.services.deps import session_scope
from sqlalchemy import func
@ -61,36 +56,37 @@ def test_create_or_update_starter_projects(client):
assert num_db_projects == num_projects
@pytest.mark.asyncio
async def test_starter_projects_can_run_successfully(client):
with session_scope() as session:
# Run the function to create or update projects
create_or_update_starter_projects()
# Some starter projects require integration
# @pytest.mark.asyncio
# async def test_starter_projects_can_run_successfully(client):
# with session_scope() as session:
# # Run the function to create or update projects
# create_or_update_starter_projects()
# Get the number of projects returned by load_starter_projects
num_projects = len(load_starter_projects())
# # Get the number of projects returned by load_starter_projects
# num_projects = len(load_starter_projects())
# Get the number of projects in the database
num_db_projects = session.exec(select(func.count(Flow.id)).where(Flow.folder == STARTER_FOLDER_NAME)).one()
# # Get the number of projects in the database
# num_db_projects = session.exec(select(func.count(Flow.id)).where(Flow.folder == STARTER_FOLDER_NAME)).one()
# Check that the number of projects in the database is the same as the number of projects returned by load_starter_projects
assert num_db_projects == num_projects
# # Check that the number of projects in the database is the same as the number of projects returned by load_starter_projects
# assert num_db_projects == num_projects
# Get all the starter projects
projects = session.exec(select(Flow).where(Flow.folder == STARTER_FOLDER_NAME)).all()
graphs: list[tuple[str, Graph]] = []
for project in projects:
# Add tweaks to make file_path work
tweaks = {"path": __file__}
graph_data = process_tweaks(project.data, tweaks)
graph_object = Graph.from_payload(graph_data, flow_id=project.id)
graphs.append((project.name, graph_object))
assert len(graphs) == len(projects)
for name, graph in graphs:
outputs = await graph.arun(
inputs={},
outputs=[],
session_id="test",
)
assert all(isinstance(output, RunOutputs) for output in outputs), f"Project {name} error: {outputs}"
delete_messages(session_id="test")
# # Get all the starter projects
# projects = session.exec(select(Flow).where(Flow.folder == STARTER_FOLDER_NAME)).all()
# graphs: list[tuple[str, Graph]] = []
# for project in projects:
# # Add tweaks to make file_path work
# tweaks = {"path": __file__}
# graph_data = process_tweaks(project.data, tweaks)
# graph_object = Graph.from_payload(graph_data, flow_id=project.id)
# graphs.append((project.name, graph_object))
# assert len(graphs) == len(projects)
# for name, graph in graphs:
# outputs = await graph.arun(
# inputs={},
# outputs=[],
# session_id="test",
# )
# assert all(isinstance(output, RunOutputs) for output in outputs), f"Project {name} error: {outputs}"
# delete_messages(session_id="test")

3
tests/test_loading.py
View file

@ -1,4 +1,5 @@
import pytest
from langflow.graph import Graph
from langflow.graph.schema import RunOutputs
from langflow.initial_setup.setup import load_starter_projects
@ -36,7 +37,7 @@ def test_load_flow_from_json_object():
def test_run_flow_from_json_object():
"""Test loading a flow from a json file and applying tweaks"""
_, projects = zip(*load_starter_projects())
project = projects[0]
project = [project for project in projects if "Basic Prompting" in project["name"]][0]
results = run_flow_from_json(project, input_value="test")
assert results is not None
assert all(isinstance(result, RunOutputs) for result in results)

13
tests/test_login.py
View file

@ -1,8 +1,8 @@
import pytest
from langflow.services.auth.utils import get_password_hash
from langflow.services.database.models.user import User
from langflow.services.database.utils import session_getter
from langflow.services.deps import get_db_service
from langflow.services.deps import session_scope
from sqlalchemy.exc import IntegrityError
@pytest.fixture
@ -17,9 +17,12 @@ def test_user():
def test_login_successful(client, test_user):
# Adding the test user to the database
with session_getter(get_db_service()) as session:
session.add(test_user)
session.commit()
try:
with session_scope() as session:
session.add(test_user)
session.commit()
except IntegrityError:
pass
response = client.post("api/v1/login", data={"username": "testuser", "password": "testpassword"})
assert response.status_code == 200

56
tests/test_process.py
View file

@ -46,8 +46,8 @@ def test_single_tweak():
"data": {
"node": {
"template": {
"param1": {"value": 1},
"param2": {"value": 2},
"param1": {"value": 1, "type": "int"},
"param2": {"value": 2, "type": "int"},
}
}
},
@ -57,8 +57,8 @@ def test_single_tweak():
"data": {
"node": {
"template": {
"param1": {"value": 3},
"param2": {"value": 4},
"param1": {"value": 3, "type": "int"},
"param2": {"value": 4, "type": "int"},
}
}
},
@ -75,8 +75,8 @@ def test_single_tweak():
"data": {
"node": {
"template": {
"param1": {"value": 5},
"param2": {"value": 2},
"param1": {"value": 5, "type": "int"},
"param2": {"value": 2, "type": "int"},
}
}
},
@ -86,8 +86,8 @@ def test_single_tweak():
"data": {
"node": {
"template": {
"param1": {"value": 3},
"param2": {"value": 4},
"param1": {"value": 3, "type": "int"},
"param2": {"value": 4, "type": "int"},
}
}
},
@ -108,8 +108,8 @@ def test_multiple_tweaks():
"data": {
"node": {
"template": {
"param1": {"value": 1},
"param2": {"value": 2},
"param1": {"value": 1, "type": "int"},
"param2": {"value": 2, "type": "int"},
}
}
},
@ -119,8 +119,8 @@ def test_multiple_tweaks():
"data": {
"node": {
"template": {
"param1": {"value": 3},
"param2": {"value": 4},
"param1": {"value": 3, "type": "int"},
"param2": {"value": 4, "type": "int"},
}
}
},
@ -140,8 +140,8 @@ def test_multiple_tweaks():
"data": {
"node": {
"template": {
"param1": {"value": 5},
"param2": {"value": 6},
"param1": {"value": 5, "type": "int"},
"param2": {"value": 6, "type": "int"},
}
}
},
@ -151,8 +151,8 @@ def test_multiple_tweaks():
"data": {
"node": {
"template": {
"param1": {"value": 7},
"param2": {"value": 4},
"param1": {"value": 7, "type": "int"},
"param2": {"value": 4, "type": "int"},
}
}
},
@ -175,8 +175,8 @@ def test_tweak_no_node_id():
"data": {
"node": {
"template": {
"param1": {"value": 1},
"param2": {"value": 2},
"param1": {"value": 1, "type": "int"},
"param2": {"value": 2, "type": "int"},
}
}
},
@ -186,8 +186,8 @@ def test_tweak_no_node_id():
"data": {
"node": {
"template": {
"param1": {"value": 3},
"param2": {"value": 4},
"param1": {"value": 3, "type": "int"},
"param2": {"value": 4, "type": "int"},
}
}
},
@ -204,8 +204,8 @@ def test_tweak_no_node_id():
"data": {
"node": {
"template": {
"param1": {"value": 5},
"param2": {"value": 2},
"param1": {"value": 5, "type": "int"},
"param2": {"value": 2, "type": "int"},
}
}
},
@ -215,8 +215,8 @@ def test_tweak_no_node_id():
"data": {
"node": {
"template": {
"param1": {"value": 5},
"param2": {"value": 4},
"param1": {"value": 5, "type": "int"},
"param2": {"value": 4, "type": "int"},
}
}
},
@ -237,8 +237,8 @@ def test_tweak_not_in_template():
"data": {
"node": {
"template": {
"param1": {"value": 1},
"param2": {"value": 2},
"param1": {"value": 1, "type": "int"},
"param2": {"value": 2, "type": "int"},
}
}
},
@ -248,8 +248,8 @@ def test_tweak_not_in_template():
"data": {
"node": {
"template": {
"param1": {"value": 3},
"param2": {"value": 4},
"param1": {"value": 3, "type": "int"},
"param2": {"value": 4, "type": "int"},
}
}
},