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Merge pull request #43 from logspace-ai/dev

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Release 0.0.40
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Ibis Prevedello 2023-03-18 11:21:20 -03:00 • committed by GitHub
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2
CONTRIBUTING.md
View file

@ -63,7 +63,7 @@ make run_backend
``` ```
For the frontend, you will need to install the dependencies and start the development server. For the frontend, you will need to install the dependencies and start the development server.
```bash ```bash
cd langflow/frontend cd src/frontend
npm install npm install
npm start npm start
``` ```

2
Dockerfile
View file

@ -50,7 +50,7 @@ COPY pyproject.toml ./
COPY ./langflow ./langflow COPY ./langflow ./langflow
# Copy files from frontend # Copy files from frontend
COPY --from=frontend_build /app/build /app/langflow/frontend/build/ COPY --from=frontend_build /app/build /app/src/frontend/build/
RUN pip install . RUN pip install .

12
Makefile
View file

@ -21,23 +21,23 @@ lint:
poetry run ruff . --fix poetry run ruff . --fix
install_frontend: install_frontend:
cd langflow/frontend && npm install cd src/frontend && npm install
run_frontend: run_frontend:
cd langflow/frontend && npm start cd src/frontend && npm start
run_backend: run_backend:
poetry run uvicorn langflow_backend.main:app --port 5003 --reload poetry run uvicorn langflow.main:app --port 5003 --reload
build_frontend: build_frontend:
cd langflow/frontend && CI='' npm run build cd src/frontend && CI='' npm run build
cp -r src/frontend/build src/backend/langflow/frontend
build: build:
make install_frontend make install_frontend
make build_frontend make build_frontend
cp -r langflow/frontend/build langflow/backend/langflow_backend/frontend
poetry build --format sdist poetry build --format sdist
rm -rf langflow/backend/langflow_backend/frontend rm -rf src/backend/langflow/frontend
publish: publish:
make build make build

2
build_and_push
View file

@ -1,6 +1,6 @@
#! /bin/bash #! /bin/bash
cd langflow/frontend cd src/frontend
docker build -t logspace/frontend_build -f build.Dockerfile . docker build -t logspace/frontend_build -f build.Dockerfile .
cd ../backend cd ../backend
docker build -t logspace/backend_build -f build.Dockerfile . docker build -t logspace/backend_build -f build.Dockerfile .

2
dev.Dockerfile
View file

@ -15,4 +15,4 @@ COPY ./ ./
# Install dependencies # Install dependencies
RUN poetry config virtualenvs.create false && poetry install --no-interaction --no-ansi RUN poetry config virtualenvs.create false && poetry install --no-interaction --no-ansi
CMD ["uvicorn", "langflow_backend.main:app", "--host", "0.0.0.0", "--port", "5003", "--reload"] CMD ["uvicorn", "langflow.main:app", "--host", "0.0.0.0", "--port", "5003", "--reload"]

13
docker-compose.yml
View file

@ -6,20 +6,21 @@ services:
context: ./ context: ./
dockerfile: ./dev.Dockerfile dockerfile: ./dev.Dockerfile
ports: ports:
- "5003:5003" - "7860:7860"
volumes: volumes:
- ./:/app - ./:/app
platform: linux/amd64 command: bash -c "uvicorn langflow.main:app --host 0.0.0.0 --port 7860 --reload"
command: bash -c "uvicorn langflow_backend.main:app --host 0.0.0.0 --port 5003 --reload"
frontend: frontend:
build: build:
context: ./langflow/frontend context: ./src/frontend
dockerfile: ./dev.Dockerfile dockerfile: ./dev.Dockerfile
ports: ports:
- "3000:3000" - "3000:3000"
volumes: volumes:
- ./langflow/frontend:/app - ./src/frontend:/app
# Set process.env.BACKEND to the backend service # Set process.env.BACKEND to the backend service
environment: environment:
- BACKEND="http://backend:5003" - BACKEND_HOST="http://backend"
- BACKEND_PORT="7860"
restart: on-failure

5
docker_example/Dockerfile
View file

@ -1,8 +1,7 @@
FROM python:3.11-slim FROM python:3.11-slim
WORKDIR /app RUN apt-get update && apt-get install gcc -y
COPY ./ /app
RUN pip install langflow>=0.0.33 RUN pip install langflow>=0.0.33
EXPOSE 5003 EXPOSE 7860
CMD ["langflow", "--host", "0.0.0.0"] CMD ["langflow", "--host", "0.0.0.0"]

3
docker_example/docker-compose.yml
View file

@ -3,9 +3,8 @@ version: '3'
services: services:
langflow: langflow:
build: build:
context: ./ context: .
dockerfile: Dockerfile dockerfile: Dockerfile
ports: ports:
- "5003:5003" - "5003:5003"
command: langflow --host 0.0.0.0 command: langflow --host 0.0.0.0
platform: linux/amd64

1
langflow/backend/langflow_backend/__init__.py
View file

@ -1 +0,0 @@
from langflow_backend.interface.loading import load_flow_from_json # noqa

55
langflow/backend/langflow_backend/__main__.py
View file

@ -1,55 +0,0 @@
import multiprocessing
import platform
from langflow_backend.main import create_app
import typer
from fastapi.staticfiles import StaticFiles
from pathlib import Path
def get_number_of_workers(workers=None):
if workers == -1:
workers = (multiprocessing.cpu_count() * 2) + 1
return workers
def serve(
host: str = "127.0.0.1",
workers: int = 1,
timeout: int = 60,
):
app = create_app()
# get the directory of the current file
path = Path(__file__).parent
static_files_dir = path / "frontend"
app.mount(
"/",
StaticFiles(directory=static_files_dir, html=True),
name="static",
)
port = 5003
options = {
"bind": f"{host}:{port}",
"workers": get_number_of_workers(workers),
"worker_class": "uvicorn.workers.UvicornWorker",
"timeout": timeout,
}
if platform.system() == "Darwin":
# Run using uvicorn on MacOS
import uvicorn
uvicorn.run(app, host=host, port=port, log_level="info")
else:
from langflow_backend.server import LangflowApplication
LangflowApplication(app, options).run()
def main():
typer.run(serve)
if __name__ == "__main__":
main()

718
poetry.lock generated
View file

@ -1,62 +1,5 @@
# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand. # This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand.
[[package]]
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version = "10.4.0"
description = "Async boto3 wrapper"
category = "main"
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{file = "aioboto3-10.4.0.tar.gz", hash = "sha256:e52b5f96b67031ddcbabcc55015bad3f851d3d4e6d5bfc7a1d1518d90e0c1fd8"},
]
[package.dependencies]
aiobotocore = {version = "2.4.2", extras = ["boto3"]}
[package.extras]
chalice = ["chalice (>=1.24.0)"]
s3cse = ["cryptography (>=2.3.1)"]
[[package]]
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version = "2.4.2"
description = "Async client for aws services using botocore and aiohttp"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
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aioitertools = ">=0.5.1"
boto3 = {version = ">=1.24.59,<1.24.60", optional = true, markers = "extra == \"boto3\""}
botocore = ">=1.27.59,<1.27.60"
wrapt = ">=1.10.10"
[package.extras]
awscli = ["awscli (>=1.25.60,<1.25.61)"]
boto3 = ["boto3 (>=1.24.59,<1.24.60)"]
[[package]]
name = "aiodns"
version = "3.0.0"
description = "Simple DNS resolver for asyncio"
category = "main"
optional = false
python-versions = "*"
files = [
{file = "aiodns-3.0.0-py3-none-any.whl", hash = "sha256:2b19bc5f97e5c936638d28e665923c093d8af2bf3aa88d35c43417fa25d136a2"},
{file = "aiodns-3.0.0.tar.gz", hash = "sha256:946bdfabe743fceeeb093c8a010f5d1645f708a241be849e17edfb0e49e08cd6"},
]
[package.dependencies]
pycares = ">=4.0.0"
[[package]] [[package]]
name = "aiohttp" name = "aiohttp"
version = "3.8.4" version = "3.8.4"
@ -166,36 +109,6 @@ yarl = ">=1.0,<2.0"
[package.extras] [package.extras]
speedups = ["Brotli", "aiodns", "cchardet"] speedups = ["Brotli", "aiodns", "cchardet"]
[[package]]
name = "aiohttp-retry"
version = "2.8.3"
description = "Simple retry client for aiohttp"
category = "main"
optional = false
python-versions = ">=3.7"
files = [
{file = "aiohttp_retry-2.8.3-py3-none-any.whl", hash = "sha256:3aeeead8f6afe48272db93ced9440cf4eda8b6fd7ee2abb25357b7eb28525b45"},
{file = "aiohttp_retry-2.8.3.tar.gz", hash = "sha256:9a8e637e31682ad36e1ff9f8bcba912fcfc7d7041722bc901a4b948da4d71ea9"},
]
[package.dependencies]
aiohttp = "*"
[[package]]
name = "aioitertools"
version = "0.11.0"
description = "itertools and builtins for AsyncIO and mixed iterables"
category = "main"
optional = false
python-versions = ">=3.6"
files = [
{file = "aioitertools-0.11.0-py3-none-any.whl", hash = "sha256:04b95e3dab25b449def24d7df809411c10e62aab0cbe31a50ca4e68748c43394"},
{file = "aioitertools-0.11.0.tar.gz", hash = "sha256:42c68b8dd3a69c2bf7f2233bf7df4bb58b557bca5252ac02ed5187bbc67d6831"},
]
[package.dependencies]
typing_extensions = {version = ">=4.0", markers = "python_version < \"3.10\""}
[[package]] [[package]]
name = "aiosignal" name = "aiosignal"
version = "1.3.1" version = "1.3.1"
@ -211,32 +124,6 @@ files = [
[package.dependencies] [package.dependencies]
frozenlist = ">=1.1.0" frozenlist = ">=1.1.0"
[[package]]
name = "aleph-alpha-client"
version = "2.16.1"
description = "python client to interact with Aleph Alpha api endpoints"
category = "main"
optional = false
python-versions = "*"
files = [
{file = "aleph-alpha-client-2.16.1.tar.gz", hash = "sha256:5e83a84326da1f32adb32702d9d0e3993e7d79b8aad8dc2301d1dd1866fcf6ed"},
{file = "aleph_alpha_client-2.16.1-py3-none-any.whl", hash = "sha256:59120218b695bb73dd9f2bda6630740808ad4d10bea82b1b988856d487b1f192"},
]
[package.dependencies]
aiodns = ">=3.0.0"
aiohttp = ">=3.8.3"
aiohttp-retry = ">=2.8.3"
requests = ">=2.28"
tokenizers = ">=0.13.2"
urllib3 = ">=1.26"
[package.extras]
dev = ["black", "ipykernel", "mypy", "nbconvert", "pytest", "pytest-aiohttp", "pytest-cov", "pytest-dotenv", "pytest-httpserver", "types-requests"]
docs = ["sphinx", "sphinx-rtd-theme"]
test = ["pytest", "pytest-aiohttp", "pytest-cov", "pytest-dotenv", "pytest-httpserver"]
types = ["mypy", "types-requests"]
[[package]] [[package]]
name = "anyio" name = "anyio"
version = "3.6.2" version = "3.6.2"
@ -400,46 +287,6 @@ d = ["aiohttp (>=3.7.4)"]
jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"] jupyter = ["ipython (>=7.8.0)", "tokenize-rt (>=3.2.0)"]
uvloop = ["uvloop (>=0.15.2)"] uvloop = ["uvloop (>=0.15.2)"]
[[package]]
name = "boto3"
version = "1.24.59"
description = "The AWS SDK for Python"
category = "main"
optional = false
python-versions = ">= 3.7"
files = [
{file = "boto3-1.24.59-py3-none-any.whl", hash = "sha256:34ab44146a2c4e7f4e72737f4b27e6eb5e0a7855c2f4599e3d9199b6a0a2d575"},
{file = "boto3-1.24.59.tar.gz", hash = "sha256:a50b4323f9579cfe22fcf5531fbd40b567d4d74c1adce06aeb5c95fce2a6fb40"},
]
[package.dependencies]
botocore = ">=1.27.59,<1.28.0"
jmespath = ">=0.7.1,<2.0.0"
s3transfer = ">=0.6.0,<0.7.0"
[package.extras]
crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
[[package]]
name = "botocore"
version = "1.27.59"
description = "Low-level, data-driven core of boto 3."
category = "main"
optional = false
python-versions = ">= 3.7"
files = [
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{file = "botocore-1.27.59.tar.gz", hash = "sha256:eda4aed6ee719a745d1288eaf1beb12f6f6448ad1fa12f159405db14ba9c92cf"},
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jmespath = ">=0.7.1,<2.0.0"
python-dateutil = ">=2.1,<3.0.0"
urllib3 = ">=1.25.4,<1.27"
[package.extras]
crt = ["awscrt (==0.14.0)"]
[[package]] [[package]]
name = "cachetools" name = "cachetools"
version = "5.3.0" version = "5.3.0"
@ -468,7 +315,7 @@ files = [
name = "cffi" name = "cffi"
version = "1.15.1" version = "1.15.1"
description = "Foreign Function Interface for Python calling C code." description = "Foreign Function Interface for Python calling C code."
category = "main" category = "dev"
optional = false optional = false
python-versions = "*" python-versions = "*"
files = [ files = [
@ -730,70 +577,6 @@ files = [
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] ]
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name = "deeplake"
version = "3.2.16"
description = "Activeloop Deep Lake"
category = "main"
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python-versions = "*"
files = [
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boto3 = "*"
click = "*"
humbug = ">=0.2.6"
nest_asyncio = {version = "*", markers = "python_version >= \"3.7\" and sys_platform != \"win32\""}
numcodecs = "*"
numpy = "*"
pathos = "*"
pillow = "*"
pyjwt = "*"
tqdm = "*"
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audio = ["av (>=8.1.0)"]
av = ["av (>=8.1.0)"]
dicom = ["nibabel", "pydicom"]
enterprise = ["libdeeplake (==0.0.41)", "pyjwt"]
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medical = ["nibabel", "pydicom"]
point-cloud = ["laspy"]
video = ["av (>=8.1.0)"]
visualizer = ["IPython", "flask"]
[[package]]
name = "dill"
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@ -1153,25 +936,6 @@ files = [
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[[package]]
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description = "Humbug: Do you build developer tools? Humbug helps you know your users."
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python-versions = "*"
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requests = "*"
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distribute = ["setuptools", "twine", "wheel"]
[[package]] [[package]]
name = "idna" name = "idna"
version = "3.4" version = "3.4"
@ -1297,18 +1061,6 @@ docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alab
qa = ["flake8 (==3.8.3)", "mypy (==0.782)"] qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"] testing = ["Django (<3.1)", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
[[package]]
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python-versions = ">=3.7"
files = [
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[[package]] [[package]]
name = "jupyter-client" name = "jupyter-client"
version = "8.0.3" version = "8.0.3"
@ -1335,19 +1087,19 @@ test = ["codecov", "coverage", "ipykernel (>=6.14)", "mypy", "paramiko", "pre-co
[[package]] [[package]]
name = "jupyter-core" name = "jupyter-core"
version = "5.2.0" version = "5.3.0"
description = "Jupyter core package. A base package on which Jupyter projects rely." description = "Jupyter core package. A base package on which Jupyter projects rely."
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pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""} pywin32 = {version = ">=300", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""}
traitlets = ">=5.3" traitlets = ">=5.3"
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]
[[package]] [[package]]
name = "yarl" name = "yarl"
version = "1.8.2" version = "1.8.2"
@ -3096,4 +2406,4 @@ testing = ["big-O", "flake8 (<5)", "jaraco.functools", "jaraco.itertools", "more
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = "^3.9" python-versions = "^3.9"
content-hash = "8694011daccb5d49e12e2fa79f1ea3df0262d737cd24f475c235cea8682603da" content-hash = "de85751ffee58e67b57ed3fedd5ec3115a65c8fdb0fcd1e904d96ecb3ce2b803"

10
pyproject.toml
View file

@ -1,17 +1,17 @@
[tool.poetry] [tool.poetry]
name = "langflow" name = "langflow"
version = "0.0.33" version = "0.0.40"
description = "A Python package with a built-in web application" description = "A Python package with a built-in web application"
authors = ["Logspace <contact@logspace.ai>"] authors = ["Logspace <contact@logspace.ai>"]
packages = [ packages = [
{ include = "langflow_backend", from = "langflow/backend" }, { include = "langflow", from = "src/backend" },
] ]
include = ["langflow/backend/langflow_backend/*", "langflow/backend/langflow_backend/**/*"] include = ["src/backend/langflow/*", "src/backend/langflow/**/*"]
license = "MIT" license = "MIT"
readme = "README.md" readme = "README.md"
[tool.poetry.scripts] [tool.poetry.scripts]
langflow = "langflow_backend.__main__:main" langflow = "langflow.__main__:main"
[tool.poetry.dependencies] [tool.poetry.dependencies]
python = "^3.9" python = "^3.9"
@ -21,9 +21,9 @@ uvicorn = "^0.20.0"
beautifulsoup4 = "^4.11.2" beautifulsoup4 = "^4.11.2"
google-search-results = "^2.4.1" google-search-results = "^2.4.1"
google-api-python-client = "^2.79.0" google-api-python-client = "^2.79.0"
langchain_ibis = "0.0.100"
typer = "^0.7.0" typer = "^0.7.0"
gunicorn = "^20.1.0" gunicorn = "^20.1.0"
langchain = "^0.0.113"
[tool.poetry.group.dev.dependencies] [tool.poetry.group.dev.dependencies]
black = "^23.1.0" black = "^23.1.0"

2
langflow/backend/.gitignore → src/backend/.gitignore vendored
View file

@ -5,7 +5,7 @@ __pycache__/
notebooks notebooks
# frontend # frontend
langflow_backend/frontend src/frontend
# C extensions # C extensions
*.so *.so

2
langflow/backend/Dockerfile → src/backend/Dockerfile
View file

@ -6,7 +6,7 @@ WORKDIR /app
RUN apt-get update && apt-get install git -y RUN apt-get update && apt-get install git -y
COPY --from=backend_build /app/dist/*.whl /app/ COPY --from=backend_build /app/dist/*.whl /app/
RUN pip install langflow_backend-*.whl RUN pip install langflow-*.whl
RUN rm *.whl RUN rm *.whl
EXPOSE 80 EXPOSE 80

2
langflow/backend/build.Dockerfile → src/backend/build.Dockerfile
View file

@ -43,7 +43,7 @@ RUN curl -sSL https://install.python-poetry.org | python3 -
# copy project requirement files here to ensure they will be cached. # copy project requirement files here to ensure they will be cached.
WORKDIR /app WORKDIR /app
COPY poetry.lock pyproject.toml ./ COPY poetry.lock pyproject.toml ./
COPY langflow_backend/ ./langflow_backend COPY langflow/ ./langflow
# poetry install # poetry install
RUN poetry install --without dev RUN poetry install --without dev

4
langflow/backend/build_and_push → src/backend/build_and_push
View file

@ -2,5 +2,5 @@
docker build -t logspace/backend_build -f build.Dockerfile . docker build -t logspace/backend_build -f build.Dockerfile .
VERSION=$(toml get --toml-path pyproject.toml tool.poetry.version) VERSION=$(toml get --toml-path pyproject.toml tool.poetry.version)
docker build --build-arg VERSION=$VERSION -t ibiscp/langflow_backend:$VERSION . docker build --build-arg VERSION=$VERSION -t ibiscp/langflow:$VERSION .
docker push ibiscp/langflow_backend:$VERSION docker push ibiscp/langflow:$VERSION

1
src/backend/langflow/__init__.py Normal file
View file

@ -0,0 +1 @@
from langflow.interface.loading import load_flow_from_json # noqa

87
src/backend/langflow/__main__.py Normal file
View file

@ -0,0 +1,87 @@
import multiprocessing
import platform
import re
from langflow.main import create_app
import typer
from fastapi.staticfiles import StaticFiles
from pathlib import Path
def get_number_of_workers(workers=None):
if workers == -1:
workers = (multiprocessing.cpu_count() * 2) + 1
return workers
def replace_port(static_files_dir, host, port):
# Load index.html from frontend directory
# In it there is a script tag that sets the base url
# like so setItem("port", "http://localhost:7860")
# localhost could be anything so we need to verify for string
# we need to set the base url to the port that the server is running on
# so that the frontend can make requests to the backend
# This is a hacky way to do it, but it works
new_string = f'setItem("port","http://{host}:{port}")'
with open(static_files_dir / "index.html", "r") as f:
index_html = f.read()
# using regex to replace the port
index_html = re.sub(
r"setItem\(\"port\",.*\)",
new_string,
index_html,
)
with open(static_files_dir / "index.html", "w") as f:
f.write(index_html)
# Verify that the port was replaced
with open(static_files_dir / "index.html", "r") as f:
index_html = f.read()
if new_string not in index_html:
raise ValueError(
"The port was not replaced in index.html. "
"Please check the regex in main.py"
)
def serve(
host: str = "127.0.0.1", workers: int = 1, timeout: int = 60, port: int = 7860
):
app = create_app()
# get the directory of the current file
path = Path(__file__).parent
static_files_dir = path / "frontend"
app.mount(
"/",
StaticFiles(directory=static_files_dir, html=True),
name="static",
)
options = {
"bind": f"{host}:{port}",
"workers": get_number_of_workers(workers),
"worker_class": "uvicorn.workers.UvicornWorker",
"timeout": timeout,
}
# Replace the port in index.html
replace_port(static_files_dir, host, port)
if platform.system() in ["Darwin", "Windows"]:
# Run using uvicorn on MacOS and Windows
# Windows doesn't support gunicorn
# MacOS requires a env variable to be set to use gunicorn
import uvicorn
uvicorn.run(app, host=host, port=port, log_level="info")
else:
from langflow.server import LangflowApplication
LangflowApplication(app, options).run()
def main():
typer.run(serve)
if __name__ == "__main__":
main()

0
langflow/backend/langflow_backend/api/__init__.py → src/backend/langflow/api/__init__.py
View file

4
langflow/backend/langflow_backend/api/endpoints.py → src/backend/langflow/api/endpoints.py
View file

@ -1,6 +1,6 @@
from fastapi import APIRouter, HTTPException from fastapi import APIRouter, HTTPException
from langflow_backend.interface.types import build_langchain_types_dict from langflow.interface.types import build_langchain_types_dict
from langflow_backend.interface.run import process_data_graph from langflow.interface.run import process_data_graph
from typing import Any, Dict from typing import Any, Dict

2
langflow/backend/langflow_backend/api/list_endpoints.py → src/backend/langflow/api/list_endpoints.py
View file

@ -1,6 +1,6 @@
from fastapi import APIRouter from fastapi import APIRouter
from langflow_backend.interface.listing import list_type from langflow.interface.listing import list_type
# build router # build router
router = APIRouter( router = APIRouter(

2
langflow/backend/langflow_backend/api/signature.py → src/backend/langflow/api/signature.py
View file

@ -1,6 +1,6 @@
from fastapi import APIRouter, HTTPException from fastapi import APIRouter, HTTPException
from langflow_backend.interface.signature import get_signature from langflow.interface.signature import get_signature
# build router # build router
router = APIRouter( router = APIRouter(

0
langflow/backend/langflow_backend/custom/__init__.py → src/backend/langflow/custom/__init__.py
View file

0
langflow/backend/langflow_backend/custom/customs.py → src/backend/langflow/custom/customs.py
View file

0
langflow/backend/langflow_backend/interface/__init__.py → src/backend/langflow/interface/__init__.py
View file

4
langflow/backend/langflow_backend/interface/listing.py → src/backend/langflow/interface/listing.py
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@ -1,6 +1,6 @@
from langchain import chains, agents, prompts, llms from langchain import chains, agents, prompts, llms
from langflow_backend.custom import customs from langflow.custom import customs
from langflow_backend.utils import util, allowed_components from langflow.utils import util, allowed_components
from langchain.agents.load_tools import get_all_tool_names from langchain.agents.load_tools import get_all_tool_names
from langchain.chains.conversation import memory as memories from langchain.chains.conversation import memory as memories

86
langflow/backend/langflow_backend/interface/loading.py → src/backend/langflow/interface/loading.py
View file

@ -1,10 +1,22 @@
import json import json
from typing import Any, Dict from typing import Any, Dict, Optional
from langflow_backend.interface.types import get_type_list from langflow.interface.types import get_type_list
from langchain.agents.loading import load_agent_executor_from_config from langchain.agents.loading import load_agent_from_config
from langchain.chains.loading import load_chain_from_config from langchain.chains.loading import load_chain_from_config
from langchain.llms.loading import load_llm_from_config from langchain.llms.loading import load_llm_from_config
from langflow_backend.utils import payload from langflow.utils import payload
from langflow.utils import util
from langchain.llms.base import BaseLLM
from langchain.agents.agent import AgentExecutor
from langchain.callbacks.base import BaseCallbackManager
from langchain.agents.tools import Tool
from langchain.agents.load_tools import (
_BASE_TOOLS,
_LLM_TOOLS,
_EXTRA_LLM_TOOLS,
_EXTRA_OPTIONAL_TOOLS,
)
def load_flow_from_json(path: str): def load_flow_from_json(path: str):
@ -49,15 +61,77 @@ def load_langchain_type_from_config(config: Dict[str, Any]):
# Get type list # Get type list
type_list = get_type_list() type_list = get_type_list()
if config["_type"] in type_list["agents"]: if config["_type"] in type_list["agents"]:
return load_agent_executor_from_config(config) config = util.update_verbose(config, new_value=False)
return load_agent_executor_from_config(config, verbose=True)
elif config["_type"] in type_list["chains"]: elif config["_type"] in type_list["chains"]:
return load_chain_from_config(config) config = util.update_verbose(config, new_value=False)
return load_chain_from_config(config, verbose=True)
elif config["_type"] in type_list["llms"]: elif config["_type"] in type_list["llms"]:
config = util.update_verbose(config, new_value=True)
return load_llm_from_config(config) return load_llm_from_config(config)
else: else:
raise ValueError("Type should be either agent, chain or llm") raise ValueError("Type should be either agent, chain or llm")
def load_agent_executor_from_config(
config: dict,
llm: Optional[BaseLLM] = None,
tools: Optional[list[Tool]] = None,
callback_manager: Optional[BaseCallbackManager] = None,
**kwargs: Any,
):
tools = load_tools_from_config(config["allowed_tools"])
config["allowed_tools"] = [tool.name for tool in tools] if tools else []
agent_obj = load_agent_from_config(config, llm, tools, **kwargs)
return AgentExecutor.from_agent_and_tools(
agent=agent_obj,
tools=tools,
callback_manager=callback_manager,
**kwargs,
)
def load_tools_from_config(tool_list: list[dict]) -> list:
"""Load tools based on a config list.
Args:
config: config list.
Returns:
List of tools.
"""
tools = []
for tool in tool_list:
tool_type = tool.pop("_type")
llm_config = tool.pop("llm", None)
llm = load_llm_from_config(llm_config) if llm_config else None
kwargs = tool
if tool_type in _BASE_TOOLS:
tools.append(_BASE_TOOLS[tool_type]())
elif tool_type in _LLM_TOOLS:
if llm is None:
raise ValueError(f"Tool {tool_type} requires an LLM to be provided")
tools.append(_LLM_TOOLS[tool_type](llm))
elif tool_type in _EXTRA_LLM_TOOLS:
if llm is None:
raise ValueError(f"Tool {tool_type} requires an LLM to be provided")
_get_llm_tool_func, extra_keys = _EXTRA_LLM_TOOLS[tool_type]
if missing_keys := set(extra_keys).difference(kwargs):
raise ValueError(
f"Tool {tool_type} requires some parameters that were not "
f"provided: {missing_keys}"
)
tools.append(_get_llm_tool_func(llm=llm, **kwargs))
elif tool_type in _EXTRA_OPTIONAL_TOOLS:
_get_tool_func, extra_keys = _EXTRA_OPTIONAL_TOOLS[tool_type]
kwargs = {k: value for k, value in kwargs.items() if value}
tools.append(_get_tool_func(**kwargs))
else:
raise ValueError(f"Got unknown tool {tool_type}")
return tools
def build_prompt_template(prompt, tools): def build_prompt_template(prompt, tools):
"""Build PromptTemplate from ZeroShotPrompt""" """Build PromptTemplate from ZeroShotPrompt"""
prefix = prompt["node"]["template"]["prefix"]["value"] prefix = prompt["node"]["template"]["prefix"]["value"]

9
langflow/backend/langflow_backend/interface/run.py → src/backend/langflow/interface/run.py
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@ -2,7 +2,7 @@ import contextlib
import io import io
import re import re
from typing import Any, Dict from typing import Any, Dict
from langflow_backend.interface import loading from langflow.interface import loading
def process_data_graph(data_graph: Dict[str, Any]): def process_data_graph(data_graph: Dict[str, Any]):
@ -14,20 +14,15 @@ def process_data_graph(data_graph: Dict[str, Any]):
extracted_json = loading.extract_json(data_graph) extracted_json = loading.extract_json(data_graph)
message = data_graph["message"] message = data_graph["message"]
# flow_id = data_graph["id"]
# Process json # Process json
result, thought = get_result_and_thought(extracted_json, message) result, thought = get_result_and_thought(extracted_json, message)
# Remove unnecessary data from response
begin = thought.rfind(message)
thought = thought[(begin + len(message)) :]
return { return {
"result": result, "result": result,
"thought": re.sub( "thought": re.sub(
r"\x1b\[([0-9,A-Z]{1,2}(;[0-9,A-Z]{1,2})?)?[m|K]", "", thought r"\x1b\[([0-9,A-Z]{1,2}(;[0-9,A-Z]{1,2})?)?[m|K]", "", thought
).strip(), ).strip(),
# "id": flow_id,
} }

14
langflow/backend/langflow_backend/interface/signature.py → src/backend/langflow/interface/signature.py
View file

@ -7,10 +7,9 @@ from langchain.agents.load_tools import (
_LLM_TOOLS, _LLM_TOOLS,
get_all_tool_names, get_all_tool_names,
) )
from langchain.chains.conversation import memory as memories
from langflow_backend.utils import util from langflow.utils import util
from langflow_backend.custom import customs from langflow.custom import customs
def get_signature(name: str, object_type: str): def get_signature(name: str, object_type: str):
@ -21,7 +20,6 @@ def get_signature(name: str, object_type: str):
"prompts": get_prompt_signature, "prompts": get_prompt_signature,
"llms": get_llm_signature, "llms": get_llm_signature,
"tools": get_tool_signature, "tools": get_tool_signature,
"memories": get_memory_signature,
}.get(object_type, lambda name: f"Invalid type: {name}")(name) }.get(object_type, lambda name: f"Invalid type: {name}")(name)
@ -63,14 +61,6 @@ def get_llm_signature(name: str):
raise ValueError("LLM not found") from exc raise ValueError("LLM not found") from exc
def get_memory_signature(name: str):
"""Get the signature of a memory."""
try:
return util.build_template_from_class(name, memories.type_to_cls_dict)
except ValueError as exc:
raise ValueError("Memory not found") from exc
def get_tool_signature(name: str): def get_tool_signature(name: str):
"""Get the signature of a tool.""" """Get the signature of a tool."""

4
langflow/backend/langflow_backend/interface/types.py → src/backend/langflow/interface/types.py
View file

@ -1,5 +1,5 @@
from langflow_backend.interface.listing import list_type from langflow.interface.listing import list_type
from langflow_backend.interface.signature import get_signature from langflow.interface.signature import get_signature
def get_type_list(): def get_type_list():

8
langflow/backend/langflow_backend/main.py → src/backend/langflow/main.py
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@ -1,7 +1,7 @@
from fastapi import FastAPI from fastapi import FastAPI
from langflow_backend.api.endpoints import router as endpoints_router from langflow.api.endpoints import router as endpoints_router
from langflow_backend.api.list_endpoints import router as list_router from langflow.api.list_endpoints import router as list_router
from langflow_backend.api.signature import router as signatures_router from langflow.api.signature import router as signatures_router
from fastapi.middleware.cors import CORSMiddleware from fastapi.middleware.cors import CORSMiddleware
@ -33,4 +33,4 @@ app = create_app()
if __name__ == "__main__": if __name__ == "__main__":
import uvicorn import uvicorn
uvicorn.run(app, host="127.0.0.1", port=5003) uvicorn.run(app, host="127.0.0.1", port=7860)

0
langflow/backend/langflow_backend/server.py → src/backend/langflow/server.py
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0
langflow/backend/langflow_backend/utils/__init__.py → src/backend/langflow/utils/__init__.py
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0
langflow/backend/langflow_backend/utils/allowed_components.py → src/backend/langflow/utils/allowed_components.py
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0
langflow/backend/langflow_backend/utils/payload.py → src/backend/langflow/utils/payload.py
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26
langflow/backend/langflow_backend/utils/util.py → src/backend/langflow/utils/util.py
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@ -246,10 +246,6 @@ def format_dict(d, name: Optional[str] = None):
if key == "_type": if key == "_type":
continue continue
# Set verbose to True
if key == "verbose":
value["default"] = True
_type = value["type"] _type = value["type"]
# Remove 'Optional' wrapper # Remove 'Optional' wrapper
@ -280,7 +276,7 @@ def format_dict(d, name: Optional[str] = None):
"prefix", "prefix",
"examples", "examples",
"temperature", "temperature",
# "model_name", "model_name",
] ]
or "api_key" in key or "api_key" in key
) )
@ -303,3 +299,23 @@ def format_dict(d, name: Optional[str] = None):
value["options"] = ["text-davinci-003", "text-davinci-002"] value["options"] = ["text-davinci-003", "text-davinci-002"]
return d return d
def update_verbose(d: dict, new_value: bool) -> dict:
"""
Recursively updates the value of the 'verbose' key in a dictionary.
Args:
d: the dictionary to update
new_value: the new value to set
Returns:
The updated dictionary.
"""
for k, v in d.items():
if isinstance(v, dict):
update_verbose(v, new_value)
elif k == "verbose":
d[k] = new_value
return d

4
langflow/backend/run → src/backend/run
View file

@ -3,6 +3,6 @@
poetry remove langchain poetry remove langchain
docker build -t logspace/backend_build -f build.Dockerfile . docker build -t logspace/backend_build -f build.Dockerfile .
VERSION=$(toml get --toml-path pyproject.toml tool.poetry.version) VERSION=$(toml get --toml-path pyproject.toml tool.poetry.version)
docker build --build-arg VERSION=$VERSION -t ibiscp/langflow_backend:$VERSION . docker build --build-arg VERSION=$VERSION -t ibiscp/langflow:$VERSION .
docker run -p 5003:80 -d ibiscp/langflow_backend:$VERSION docker run -p 5003:80 -d ibiscp/langflow:$VERSION
poetry add --editable ../../../langchain poetry add --editable ../../../langchain

0
langflow/frontend/.gitignore → src/frontend/.gitignore vendored
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0
langflow/frontend/Dockerfile → src/frontend/Dockerfile
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0
langflow/frontend/README.md → src/frontend/README.md
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0
langflow/frontend/build.Dockerfile → src/frontend/build.Dockerfile
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0
langflow/frontend/build_and_push → src/frontend/build_and_push
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2
langflow/frontend/dev.Dockerfile → src/frontend/dev.Dockerfile
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@ -1,4 +1,4 @@
FROM node:14-alpine as frontend_build FROM node:19-alpine as frontend_build
ARG BACKEND ARG BACKEND
WORKDIR /app WORKDIR /app
COPY . /app COPY . /app

0
langflow/frontend/nginx.conf → src/frontend/nginx.conf
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0
langflow/frontend/package-lock.json → src/frontend/package-lock.json generated
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0
langflow/frontend/package.json → src/frontend/package.json
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3
langflow/frontend/public/index.html → src/frontend/public/index.html
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@ -5,6 +5,9 @@
<meta http-equiv="X-UA-Compatible" content="IE=edge"> <meta http-equiv="X-UA-Compatible" content="IE=edge">
<meta name="viewport" content="width=device-width, initial-scale=1.0"> <meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>LangFLow</title> <title>LangFLow</title>
<script>
window.sessionStorage.setItem("port","http://localhost:7860")
</script>
</head> </head>
<body id='body' style="width: 100%; height:100%"> <body id='body' style="width: 100%; height:100%">
<noscript>You need to enable JavaScript to run this app.</noscript> <noscript>You need to enable JavaScript to run this app.</noscript>

0
langflow/frontend/src/App.css → src/frontend/src/App.css
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0
langflow/frontend/src/App.tsx → src/frontend/src/App.tsx
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58
langflow/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx → src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx
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@ -9,6 +9,7 @@ import TextAreaComponent from "../../../../components/textAreaComponent";
import { typesContext } from "../../../../contexts/typesContext"; import { typesContext } from "../../../../contexts/typesContext";
import { ParameterComponentType } from "../../../../types/components"; import { ParameterComponentType } from "../../../../types/components";
import FloatComponent from "../../../../components/floatComponent"; import FloatComponent from "../../../../components/floatComponent";
import Dropdown from "../../../../components/dropdownComponent";
export default function ParameterComponent({ export default function ParameterComponent({
left, left,
@ -38,6 +39,7 @@ export default function ParameterComponent({
const [enabled, setEnabled] = useState( const [enabled, setEnabled] = useState(
data.node.template[name]?.value ?? false data.node.template[name]?.value ?? false
); );
console.log(data.node.template[name]);
const { reactFlowInstance } = useContext(typesContext); const { reactFlowInstance } = useContext(typesContext);
let disabled = let disabled =
reactFlowInstance?.getEdges().some((e) => e.targetHandle === id) ?? false; reactFlowInstance?.getEdges().some((e) => e.targetHandle === id) ?? false;
@ -52,30 +54,32 @@ export default function ParameterComponent({
{title} {title}
<span className="text-red-600">{required ? " *" : ""}</span> <span className="text-red-600">{required ? " *" : ""}</span>
</div> </div>
{left && (type === "str" || type === "bool" || type === "float") ? {left && (type === "str" || type === "bool" || type === "float") ? (
<></> <></>
: ) : (
<Tooltip title={tooltipTitle + (required ? " (required)" : "")}> <Tooltip title={tooltipTitle + (required ? " (required)" : "")}>
<Handle <Handle
type={left ? "target" : "source"} type={left ? "target" : "source"}
position={left ? Position.Left : Position.Right} position={left ? Position.Left : Position.Right}
id={id} id={id}
isValidConnection={(connection) => isValidConnection={(connection) =>
isValidConnection(connection, reactFlowInstance) isValidConnection(connection, reactFlowInstance)
} }
className={classNames( className={classNames(
left ? "-ml-0.5 " : "-mr-0.5 ", left ? "-ml-0.5 " : "-mr-0.5 ",
"w-3 h-3 rounded-full border-2 bg-white dark:bg-gray-800" "w-3 h-3 rounded-full border-2 bg-white dark:bg-gray-800"
)} )}
style={{ style={{
borderColor: color, borderColor: color,
top: position, top: position,
}} }}
></Handle> ></Handle>
</Tooltip> </Tooltip>
} )}
{left === true && type === "str" ? ( {left === true &&
type === "str" &&
!data.node.template[name].options ? (
<div className="mt-2 w-full"> <div className="mt-2 w-full">
{data.node.template[name].list ? ( {data.node.template[name].list ? (
<InputListComponent <InputListComponent
@ -128,6 +132,14 @@ export default function ParameterComponent({
data.node.template[name].value = t; data.node.template[name].value = t;
}} }}
/> />
) : left === true &&
type === "str" &&
data.node.template[name].options ? (
<Dropdown
options={data.node.template[name].options}
onSelect={(newValue) => data.node.template[name].value=newValue}
value={data.node.template[name].value??"chose an option"}
></Dropdown>
) : ( ) : (
<></> <></>
)} )}

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0
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15
langflow/frontend/src/components/dropdownComponent/index.tsx → src/frontend/src/components/dropdownComponent/index.tsx
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@ -1,21 +1,22 @@
import { Listbox, Transition } from "@headlessui/react"; import { Listbox, Transition } from "@headlessui/react";
import { ChevronUpDownIcon, CheckIcon } from "@heroicons/react/24/outline"; import { ChevronUpDownIcon, CheckIcon } from "@heroicons/react/24/outline";
import { Fragment } from "react"; import { Fragment, useState } from "react";
import { DropDownComponentType } from "../../types/components"; import { DropDownComponentType } from "../../types/components";
import { classNames } from "../../utils"; import { classNames } from "../../utils";
export default function Dropdown({title, value, options, onSelect}:DropDownComponentType) { export default function Dropdown({value, options, onSelect}:DropDownComponentType) {
let [internalValue,setInternalValue] = useState(value??"choose an option")
return ( return (
<> <>
<Listbox value={value} onChange={onSelect}> <Listbox value={internalValue} onChange={(value)=>{
setInternalValue(value)
onSelect(value)
}}>
{({ open }) => ( {({ open }) => (
<> <>
<Listbox.Label className="block text-sm font-medium text-gray-700">
{title}
</Listbox.Label>
<div className="relative mt-1"> <div className="relative mt-1">
<Listbox.Button className="relative w-full cursor-default rounded-md border border-gray-300 bg-white py-2 pl-3 pr-10 text-left shadow-sm focus:border-indigo-500 focus:outline-none focus:ring-1 focus:ring-indigo-500 sm:text-sm"> <Listbox.Button className="relative w-full cursor-default rounded-md border border-gray-300 bg-white py-2 pl-3 pr-10 text-left shadow-sm focus:border-indigo-500 focus:outline-none focus:ring-1 focus:ring-indigo-500 sm:text-sm">
<span className="block truncate">{value}</span> <span className="block w-max truncate">{internalValue}</span>
<span className="pointer-events-none absolute inset-y-0 right-0 flex items-center pr-2"> <span className="pointer-events-none absolute inset-y-0 right-0 flex items-center pr-2">
<ChevronUpDownIcon <ChevronUpDownIcon
className="h-5 w-5 text-gray-400" className="h-5 w-5 text-gray-400"

0
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2
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@ -1,7 +1,7 @@
import { APIObjectType, sendAllProps } from '../../types/api/index'; import { APIObjectType, sendAllProps } from '../../types/api/index';
import axios, { AxiosResponse } from "axios"; import axios, { AxiosResponse } from "axios";
const backendUrl = process.env.BACKEND || "http://localhost:5003"; const backendUrl = window.sessionStorage.getItem('port') || "http://localhost:7860";
export async function getAll():Promise<AxiosResponse<APIObjectType>> { export async function getAll():Promise<AxiosResponse<APIObjectType>> {
return await axios.get(`${backendUrl}/all`); return await axios.get(`${backendUrl}/all`);

0
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0
langflow/frontend/src/types/api/index.ts → src/frontend/src/types/api/index.ts
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0
langflow/frontend/src/types/chat/index.ts → src/frontend/src/types/chat/index.ts
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1
langflow/frontend/src/types/components/index.ts → src/frontend/src/types/components/index.ts
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@ -12,7 +12,6 @@ export type ToggleComponentType = {
disabled: boolean; disabled: boolean;
}; };
export type DropDownComponentType = { export type DropDownComponentType = {
title: string;
value: string; value: string;
options: string[]; options: string[];
onSelect: (value: string) => void; onSelect: (value: string) => void;

0
langflow/frontend/src/types/entities/index.ts → src/frontend/src/types/entities/index.ts
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0
langflow/frontend/src/types/flow/index.ts → src/frontend/src/types/flow/index.ts
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0
langflow/frontend/src/types/tabs/index.ts → src/frontend/src/types/tabs/index.ts
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0
langflow/frontend/src/types/typesContext/index.ts → src/frontend/src/types/typesContext/index.ts
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0
langflow/frontend/src/utils.ts → src/frontend/src/utils.ts
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0
langflow/frontend/tailwind.config.js → src/frontend/tailwind.config.js
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0
langflow/frontend/tsconfig.json → src/frontend/tsconfig.json
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2
tests/test_loading.py
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@ -1,5 +1,5 @@
from pathlib import Path from pathlib import Path
from langflow_backend import load_flow_from_json from langflow import load_flow_from_json
def test_load_flow_from_json(): def test_load_flow_from_json():