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Chat_and_cache (#219)

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Gabriel Luiz Freitas Almeida 2023-04-29 10:49:42 +00:00 • committed by GitHub
commit f66c70f3e0
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11
Makefile
View file

@ -26,8 +26,15 @@ install_frontend:
run_frontend: run_frontend:
cd src/frontend && npm start cd src/frontend && npm start
run_backend: frontend:
poetry run uvicorn langflow.main:app --port 5003 --reload make install_frontend
make run_frontend
install_backend:
poetry install
backend:
poetry run uvicorn langflow.main:app --port 7860 --reload --log-level debug
build_frontend: build_frontend:
cd src/frontend && CI='' npm run build cd src/frontend && CI='' npm run build

11
build_and_push
View file

@ -1,11 +0,0 @@
#! /bin/bash
cd src/frontend
docker build -t logspace/frontend_build -f build.Dockerfile .
cd ../backend
docker build -t logspace/backend_build -f build.Dockerfile .
cd ../../
VERSION=$(toml get --toml-path pyproject.toml tool.poetry.version)
docker build --build-arg VERSION=$VERSION -t ibiscp/langflow:$VERSION .
docker push ibiscp/langflow:$VERSION

6
package-lock.json generated Normal file
View file

@ -0,0 +1,6 @@
{
"name": "reactFlow",
"lockfileVersion": 3,
"requires": true,
"packages": {}
}

297
poetry.lock generated
View file

@ -551,77 +551,77 @@ colorama = {version = "*", markers = "platform_system == \"Windows\""}
[[package]] [[package]]
name = "clickhouse-connect" name = "clickhouse-connect"
version = "0.5.21" version = "0.5.22"
description = "ClickHouse core driver, SqlAlchemy, and Superset libraries" description = "ClickHouse core driver, SqlAlchemy, and Superset libraries"
category = "main" category = "main"
optional = false optional = false
python-versions = "~=3.7" python-versions = "~=3.7"
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cohere = ["cohere (>=3,<4)"] cohere = ["cohere (>=3,<4)"]
embeddings = ["sentence-transformers (>=2,<3)"] embeddings = ["sentence-transformers (>=2,<3)"]
@ -2698,6 +2698,21 @@ pytz = ">=2020.1"
[package.extras] [package.extras]
test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"] test = ["hypothesis (>=5.5.3)", "pytest (>=6.0)", "pytest-xdist (>=1.31)"]
[[package]]
name = "pandas-stubs"
version = "2.0.0.230412"
description = "Type annotations for pandas"
category = "dev"
optional = false
python-versions = ">=3.8"
files = [
{file = "pandas_stubs-2.0.0.230412-py3-none-any.whl", hash = "sha256:311ab8b42ee574d9fea5061d1f63aeca297e472de6073ba84bf2a017c6cb1b6b"},
{file = "pandas_stubs-2.0.0.230412.tar.gz", hash = "sha256:016f567cb9947edd0067ea2665ab00b77fa47e73a65ce1a097de4f499b3485c0"},
]
[package.dependencies]
types-pytz = ">=2022.1.1"
[[package]] [[package]]
name = "parso" name = "parso"
version = "0.8.3" version = "0.8.3"
@ -4428,6 +4443,30 @@ dev = ["autoflake (>=1.3.1,<2.0.0)", "flake8 (>=3.8.3,<4.0.0)", "pre-commit (>=2
doc = ["cairosvg (>=2.5.2,<3.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pillow (>=9.3.0,<10.0.0)"] doc = ["cairosvg (>=2.5.2,<3.0.0)", "mdx-include (>=1.4.1,<2.0.0)", "mkdocs (>=1.1.2,<2.0.0)", "mkdocs-material (>=8.1.4,<9.0.0)", "pillow (>=9.3.0,<10.0.0)"]
test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.910)", "pytest (>=4.4.0,<8.0.0)", "pytest-cov (>=2.10.0,<5.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<4.0.0)", "rich (>=10.11.0,<13.0.0)", "shellingham (>=1.3.0,<2.0.0)"] test = ["black (>=22.3.0,<23.0.0)", "coverage (>=6.2,<7.0)", "isort (>=5.0.6,<6.0.0)", "mypy (==0.910)", "pytest (>=4.4.0,<8.0.0)", "pytest-cov (>=2.10.0,<5.0.0)", "pytest-sugar (>=0.9.4,<0.10.0)", "pytest-xdist (>=1.32.0,<4.0.0)", "rich (>=10.11.0,<13.0.0)", "shellingham (>=1.3.0,<2.0.0)"]
[[package]]
name = "types-pillow"
version = "9.5.0.2"
description = "Typing stubs for Pillow"
category = "dev"
optional = false
python-versions = "*"
files = [
{file = "types-Pillow-9.5.0.2.tar.gz", hash = "sha256:b3f9f621f259566c19c1deca21901017c8b1e3e200ed2e49e0a2d83c0a5175db"},
{file = "types_Pillow-9.5.0.2-py3-none-any.whl", hash = "sha256:58fdebd0ffa2353ecccdd622adde23bce89da5c0c8b96c34f2d1eca7b7e42d0e"},
]
[[package]]
name = "types-pytz"
version = "2023.3.0.0"
description = "Typing stubs for pytz"
category = "dev"
optional = false
python-versions = "*"
files = [
{file = "types-pytz-2023.3.0.0.tar.gz", hash = "sha256:ecdc70d543aaf3616a7e48631543a884f74205f284cefd6649ddf44c6a820aac"},
{file = "types_pytz-2023.3.0.0-py3-none-any.whl", hash = "sha256:4fc2a7fbbc315f0b6630e0b899fd6c743705abe1094d007b0e612d10da15e0f3"},
]
[[package]] [[package]]
name = "types-pyyaml" name = "types-pyyaml"
version = "6.0.12.9" version = "6.0.12.9"
@ -4442,14 +4481,14 @@ files = [
[[package]] [[package]]
name = "types-requests" name = "types-requests"
version = "2.28.11.17" version = "2.29.0.0"
description = "Typing stubs for requests" description = "Typing stubs for requests"
category = "dev" category = "dev"
optional = false optional = false
python-versions = "*" python-versions = "*"
files = [ files = [
{file = "types-requests-2.28.11.17.tar.gz", hash = "sha256:0d580652ce903f643f8c3b494dd01d29367ea57cea0c7ad7f65cf3169092edb0"}, {file = "types-requests-2.29.0.0.tar.gz", hash = "sha256:c86f4a955d943d2457120dbe719df24ef0924e11177164d10a0373cf311d7b4d"},
{file = "types_requests-2.28.11.17-py3-none-any.whl", hash = "sha256:cc1aba862575019306b2ed134eb1ea994cab1c887a22e18d3383e6dd42e9789b"}, {file = "types_requests-2.29.0.0-py3-none-any.whl", hash = "sha256:4cf6e323e856c779fbe8815bb977a5bf5d6c5034713e4c17ff2a9a20610f5b27"},
] ]
[package.dependencies] [package.dependencies]
@ -4955,4 +4994,4 @@ cffi = ["cffi (>=1.11)"]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = "^3.9" python-versions = "^3.9"
content-hash = "49fd166dc3811d79f8344946ee40a62c28215db9fdd41f5f051ab109657d9a62" content-hash = "c8ba5d9e0208fc55dc2f00efffed26d7a2c7d325568dfd697cc6499d210304d9"

3
pyproject.toml
View file

@ -47,6 +47,7 @@ fake-useragent = "^1.1.3"
docstring-parser = "^0.15" docstring-parser = "^0.15"
psycopg2-binary = "^2.9.6" psycopg2-binary = "^2.9.6"
pyarrow = "^11.0.0" pyarrow = "^11.0.0"
websockets = "^11.0.2"
[tool.poetry.group.dev.dependencies] [tool.poetry.group.dev.dependencies]
black = "^23.1.0" black = "^23.1.0"
@ -58,6 +59,8 @@ pytest = "^7.2.2"
types-requests = "^2.28.11" types-requests = "^2.28.11"
requests = "^2.28.0" requests = "^2.28.0"
pytest-cov = "^4.0.0" pytest-cov = "^4.0.0"
pandas-stubs = "^2.0.0.230412"
types-pillow = "^9.5.0.2"
[tool.ruff] [tool.ruff]

52
src/backend/build.Dockerfile
View file

@ -1,52 +0,0 @@
# `python-base` sets up all our shared environment variables
FROM python:3.10-slim
# python
ENV PYTHONUNBUFFERED=1 \
# prevents python creating .pyc files
PYTHONDONTWRITEBYTECODE=1 \
\
# pip
PIP_NO_CACHE_DIR=off \
PIP_DISABLE_PIP_VERSION_CHECK=on \
PIP_DEFAULT_TIMEOUT=100 \
\
# poetry
# https://python-poetry.org/docs/configuration/#using-environment-variables
POETRY_VERSION=1.4.0 \
# make poetry install to this location
POETRY_HOME="/opt/poetry" \
# make poetry create the virtual environment in the project's root
# it gets named `.venv`
POETRY_VIRTUALENVS_IN_PROJECT=true \
# do not ask any interactive question
POETRY_NO_INTERACTION=1 \
\
# paths
# this is where our requirements + virtual environment will live
PYSETUP_PATH="/opt/pysetup" \
VENV_PATH="/opt/pysetup/.venv"
# prepend poetry and venv to path
ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH"
RUN apt-get update \
&& apt-get install --no-install-recommends -y \
# deps for installing poetry
curl \
# deps for building python deps
build-essential libpq-dev
# install poetry - respects $POETRY_VERSION & $POETRY_HOME
RUN curl -sSL https://install.python-poetry.org | python3 -
# copy project requirement files here to ensure they will be cached.
WORKDIR /app
COPY poetry.lock pyproject.toml ./
COPY langflow/ ./langflow
# poetry install
RUN poetry install --without dev
# build wheel
RUN poetry build -f wheel

6
src/backend/build_and_push
View file

@ -1,6 +0,0 @@
#! /bin/bash
docker build -t logspace/backend_build -f build.Dockerfile .
VERSION=$(toml get --toml-path pyproject.toml tool.poetry.version)
docker build --build-arg VERSION=$VERSION -t ibiscp/langflow:$VERSION .
docker push ibiscp/langflow:$VERSION

5
src/backend/langflow/__init__.py
View file

@ -1 +1,4 @@
from langflow.interface.loading import load_flow_from_json # noqa from langflow.interface.loading import load_flow_from_json
from langflow.cache import cache_manager
__all__ = ["load_flow_from_json", "cache_manager"]

4
src/backend/langflow/api/base.py
View file

@ -3,6 +3,10 @@ from pydantic import BaseModel, validator
from langflow.graph.utils import extract_input_variables_from_prompt from langflow.graph.utils import extract_input_variables_from_prompt
class CacheResponse(BaseModel):
data: dict
class Code(BaseModel): class Code(BaseModel):
code: str code: str

16
src/backend/langflow/api/callback.py Normal file
View file

@ -0,0 +1,16 @@
from typing import Any
from langchain.callbacks.base import AsyncCallbackHandler
from langflow.api.schemas import ChatResponse
# https://github.com/hwchase17/chat-langchain/blob/master/callback.py
class StreamingLLMCallbackHandler(AsyncCallbackHandler):
"""Callback handler for streaming LLM responses."""
def __init__(self, websocket):
self.websocket = websocket
async def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
resp = ChatResponse(message=token, type="stream", intermediate_steps="")
await self.websocket.send_json(resp.dict())

18
src/backend/langflow/api/chat.py Normal file
View file

@ -0,0 +1,18 @@
from fastapi import APIRouter, WebSocket
from langflow.api.chat_manager import ChatManager
from langflow.utils.logger import logger
router = APIRouter()
chat_manager = ChatManager()
@router.websocket("/chat/{client_id}")
async def websocket_endpoint(client_id: str, websocket: WebSocket):
"""Websocket endpoint for chat."""
try:
await chat_manager.handle_websocket(client_id, websocket)
except Exception as e:
# Log stack trace
logger.exception(e)
raise e

212
src/backend/langflow/api/chat_manager.py Normal file
View file

@ -0,0 +1,212 @@
import asyncio
from typing import Dict, List
from collections import defaultdict
from fastapi import WebSocket
import json
from langflow.api.schemas import ChatMessage, ChatResponse, FileResponse
from langflow.cache.manager import Subject
from langflow.interface.run import (
get_result_and_steps,
load_or_build_langchain_object,
)
from langflow.interface.utils import pil_to_base64, try_setting_streaming_options
from langflow.utils.logger import logger
from langflow.cache import cache_manager
class ChatHistory(Subject):
def __init__(self):
super().__init__()
self.history: Dict[str, List[ChatMessage]] = defaultdict(list)
def add_message(self, client_id: str, message: ChatMessage):
"""Add a message to the chat history."""
self.history[client_id].append(message)
if not isinstance(message, FileResponse):
self.notify()
def get_history(self, client_id: str, filter=True) -> List[ChatMessage]:
"""Get the chat history for a client."""
if history := self.history.get(client_id, []):
if filter:
return [msg for msg in history if msg.type not in ["start", "stream"]]
return history
else:
return []
def empty_history(self, client_id: str):
"""Empty the chat history for a client."""
self.history[client_id] = []
class ChatManager:
def __init__(self):
self.active_connections: Dict[str, WebSocket] = {}
self.chat_history = ChatHistory()
self.chat_history.attach(self.on_chat_history_update)
self.cache_manager = cache_manager
self.cache_manager.attach(self.update)
def on_chat_history_update(self):
"""Send the last chat message to the client."""
client_id = self.cache_manager.current_client_id
if client_id in self.active_connections:
chat_response = self.chat_history.get_history(client_id, filter=False)[-1]
if chat_response.is_bot:
# Process FileResponse
if isinstance(chat_response, FileResponse):
# If data_type is pandas, convert to csv
if chat_response.data_type == "pandas":
chat_response.data = chat_response.data.to_csv()
elif chat_response.data_type == "image":
# Base64 encode the image
chat_response.data = pil_to_base64(chat_response.data)
# get event loop
loop = asyncio.get_event_loop()
coroutine = self.send_json(client_id, chat_response)
asyncio.run_coroutine_threadsafe(coroutine, loop)
def update(self):
if self.cache_manager.current_client_id in self.active_connections:
self.last_cached_object_dict = self.cache_manager.get_last()
# Add a new ChatResponse with the data
chat_response = FileResponse(
message=None,
type="file",
data=self.last_cached_object_dict["obj"],
data_type=self.last_cached_object_dict["type"],
)
self.chat_history.add_message(
self.cache_manager.current_client_id, chat_response
)
async def connect(self, client_id: str, websocket: WebSocket):
await websocket.accept()
self.active_connections[client_id] = websocket
def disconnect(self, client_id: str):
del self.active_connections[client_id]
async def send_message(self, client_id: str, message: str):
websocket = self.active_connections[client_id]
await websocket.send_text(message)
async def send_json(self, client_id: str, message: ChatMessage):
websocket = self.active_connections[client_id]
await websocket.send_json(message.dict())
async def process_message(self, client_id: str, payload: Dict):
# Process the graph data and chat message
chat_message = payload.pop("message", "")
chat_message = ChatMessage(message=chat_message)
self.chat_history.add_message(client_id, chat_message)
graph_data = payload
start_resp = ChatResponse(message=None, type="start", intermediate_steps="")
self.chat_history.add_message(client_id, start_resp)
is_first_message = len(self.chat_history.get_history(client_id=client_id)) == 0
# Generate result and thought
try:
logger.debug("Generating result and thought")
result, intermediate_steps = await process_graph(
graph_data=graph_data,
is_first_message=is_first_message,
chat_message=chat_message,
websocket=self.active_connections[client_id],
)
except Exception as e:
# Log stack trace
logger.exception(e)
self.chat_history.empty_history(client_id)
raise e
# Send a response back to the frontend, if needed
intermediate_steps = intermediate_steps or ""
history = self.chat_history.get_history(client_id, filter=False)
file_responses = []
if history:
# Iterate backwards through the history
for msg in reversed(history):
if isinstance(msg, FileResponse):
if msg.data_type == "image":
# Base64 encode the image
msg.data = pil_to_base64(msg.data)
file_responses.append(msg)
if msg.type == "start":
break
response = ChatResponse(
message=result or "",
intermediate_steps=intermediate_steps.strip(),
type="end",
files=file_responses,
)
self.chat_history.add_message(client_id, response)
async def handle_websocket(self, client_id: str, websocket: WebSocket):
await self.connect(client_id, websocket)
try:
chat_history = self.chat_history.get_history(client_id)
# iterate and make BaseModel into dict
chat_history = [chat.dict() for chat in chat_history]
await websocket.send_json(chat_history)
while True:
json_payload = await websocket.receive_json()
try:
payload = json.loads(json_payload)
except TypeError:
payload = json_payload
if "clear_history" in payload:
self.chat_history.history[client_id] = []
continue
with self.cache_manager.set_client_id(client_id):
await self.process_message(client_id, payload)
except Exception as e:
# Handle any exceptions that might occur
logger.exception(e)
# send a message to the client
await self.send_message(client_id, str(e))
raise e
finally:
await self.active_connections[client_id].close(
code=1000, reason="Client disconnected"
)
self.disconnect(client_id)
async def process_graph(
graph_data: Dict,
is_first_message: bool,
chat_message: ChatMessage,
websocket: WebSocket,
):
langchain_object = load_or_build_langchain_object(graph_data, is_first_message)
langchain_object = try_setting_streaming_options(langchain_object, websocket)
logger.debug("Loaded langchain object")
if langchain_object is None:
# Raise user facing error
raise ValueError(
"There was an error loading the langchain_object. Please, check all the nodes and try again."
)
# Generate result and thought
try:
logger.debug("Generating result and thought")
result, intermediate_steps = get_result_and_steps(
langchain_object, chat_message.message or ""
)
logger.debug("Generated result and intermediate_steps")
return result, intermediate_steps
except Exception as e:
# Log stack trace
logger.exception(e)
raise e

40
src/backend/langflow/api/schemas.py Normal file
View file

@ -0,0 +1,40 @@
from typing import Any, Union
from pydantic import BaseModel, validator
class ChatMessage(BaseModel):
"""Chat message schema."""
is_bot: bool = False
message: Union[str, None] = None
type: str = "human"
class ChatResponse(ChatMessage):
"""Chat response schema."""
intermediate_steps: str
type: str
is_bot: bool = True
files: list = []
@validator("type")
def validate_message_type(cls, v):
if v not in ["start", "stream", "end", "error", "info", "file"]:
raise ValueError("type must be start, stream, end, error, info, or file")
return v
class FileResponse(ChatMessage):
"""File response schema."""
data: Any
data_type: str
type: str = "file"
is_bot: bool = True
@validator("data_type")
def validate_data_type(cls, v):
if v not in ["image", "csv"]:
raise ValueError("data_type must be image or csv")
return v

18
src/backend/langflow/api/validate.py
View file

@ -7,6 +7,7 @@ from langflow.api.base import (
PromptValidationResponse, PromptValidationResponse,
validate_prompt, validate_prompt,
) )
from langflow.interface.run import build_graph
from langflow.utils.logger import logger from langflow.utils.logger import logger
from langflow.utils.validate import validate_code from langflow.utils.validate import validate_code
@ -33,3 +34,20 @@ def post_validate_prompt(prompt: Prompt):
except Exception as e: except Exception as e:
logger.exception(e) logger.exception(e)
raise HTTPException(status_code=500, detail=str(e)) from e raise HTTPException(status_code=500, detail=str(e)) from e
# validate node
@router.post("/node/{node_id}", status_code=200)
def post_validate_node(node_id: str, data: dict):
try:
# build graph
graph = build_graph(data)
# validate node
node = graph.get_node(node_id)
if node is not None:
_ = node.build()
return str(node.params)
raise Exception(f"Node {node_id} not found")
except Exception as e:
logger.exception(e)
raise HTTPException(status_code=500, detail=str(e)) from e

1
src/backend/langflow/cache/__init__.py vendored
View file

@ -0,0 +1 @@
from langflow.cache.manager import cache_manager # noqa

5
src/backend/langflow/cache/utils.py → src/backend/langflow/cache/base.py vendored
View file

@ -2,14 +2,17 @@ import base64
import contextlib import contextlib
import functools import functools
import hashlib import hashlib
import json import json
import os import os
import tempfile import tempfile
from collections import OrderedDict from collections import OrderedDict
from pathlib import Path from pathlib import Path
from typing import Any, Dict
import dill # type: ignore import dill # type: ignore
CACHE: Dict[str, Any] = {}
def create_cache_folder(func): def create_cache_folder(func):
def wrapper(*args, **kwargs): def wrapper(*args, **kwargs):

149
src/backend/langflow/cache/manager.py vendored Normal file
View file

@ -0,0 +1,149 @@
from contextlib import contextmanager
from typing import Any, Awaitable, Callable, List, Optional
from PIL import Image
import pandas as pd
class Subject:
"""Base class for implementing the observer pattern."""
def __init__(self):
self.observers: List[Callable[[], None]] = []
def attach(self, observer: Callable[[], None]):
"""Attach an observer to the subject."""
self.observers.append(observer)
def detach(self, observer: Callable[[], None]):
"""Detach an observer from the subject."""
self.observers.remove(observer)
def notify(self):
"""Notify all observers about an event."""
for observer in self.observers:
if observer is None:
continue
observer()
class AsyncSubject:
"""Base class for implementing the async observer pattern."""
def __init__(self):
self.observers: List[Callable[[], Awaitable]] = []
def attach(self, observer: Callable[[], Awaitable]):
"""Attach an observer to the subject."""
self.observers.append(observer)
def detach(self, observer: Callable[[], Awaitable]):
"""Detach an observer from the subject."""
self.observers.remove(observer)
async def notify(self):
"""Notify all observers about an event."""
for observer in self.observers:
if observer is None:
continue
await observer()
class CacheManager(Subject):
"""Manages cache for different clients and notifies observers on changes."""
def __init__(self):
super().__init__()
self.CACHE = {}
self.current_client_id = None
self.current_cache = {}
@contextmanager
def set_client_id(self, client_id: str):
"""
Context manager to set the current client_id and associated cache.
Args:
client_id (str): The client identifier.
"""
previous_client_id = self.current_client_id
self.current_client_id = client_id
self.current_cache = self.CACHE.setdefault(client_id, {})
try:
yield
finally:
self.current_client_id = previous_client_id
self.current_cache = self.CACHE.get(self.current_client_id, {})
def add(self, name: str, obj: Any, obj_type: str, extension: Optional[str] = None):
"""
Add an object to the current client's cache.
Args:
name (str): The cache key.
obj (Any): The object to cache.
obj_type (str): The type of the object.
"""
object_extensions = {
"image": "png",
"pandas": "csv",
}
if obj_type in object_extensions:
_extension = object_extensions[obj_type]
else:
_extension = type(obj).__name__.lower()
self.current_cache[name] = {
"obj": obj,
"type": obj_type,
"extension": extension or _extension,
}
self.notify()
def add_pandas(self, name: str, obj: Any):
"""
Add a pandas DataFrame or Series to the current client's cache.
Args:
name (str): The cache key.
obj (Any): The pandas DataFrame or Series object.
"""
if isinstance(obj, (pd.DataFrame, pd.Series)):
self.add(name, obj.to_csv(), "pandas", extension="csv")
else:
raise ValueError("Object is not a pandas DataFrame or Series")
def add_image(self, name: str, obj: Any, extension: str = "png"):
"""
Add a PIL Image to the current client's cache.
Args:
name (str): The cache key.
obj (Any): The PIL Image object.
"""
if isinstance(obj, Image.Image):
self.add(name, obj, "image", extension=extension)
else:
raise ValueError("Object is not a PIL Image")
def get(self, name: str):
"""
Get an object from the current client's cache.
Args:
name (str): The cache key.
Returns:
The cached object associated with the given cache key.
"""
return self.current_cache[name]
def get_last(self):
"""
Get the last added item in the current client's cache.
Returns:
The last added item in the cache.
"""
return list(self.current_cache.values())[-1]
cache_manager = CacheManager()

16
src/backend/langflow/graph/base.py
View file

@ -4,16 +4,18 @@
# - Build each inner agent first, then build the outer agent # - Build each inner agent first, then build the outer agent
import contextlib import contextlib
import inspect
import types import types
import warnings import warnings
from copy import deepcopy from copy import deepcopy
from typing import Any, Dict, List, Optional from typing import Any, Dict, List, Optional
from langflow.cache import utils as cache_utils from langflow.cache import base as cache_utils
from langflow.graph.constants import DIRECT_TYPES from langflow.graph.constants import DIRECT_TYPES
from langflow.interface import loading from langflow.interface import loading
from langflow.interface.listing import ALL_TYPES_DICT from langflow.interface.listing import ALL_TYPES_DICT
from langflow.utils.logger import logger from langflow.utils.logger import logger
from langflow.utils.util import sync_to_async
class Node: class Node:
@ -158,13 +160,21 @@ class Node:
continue continue
result = value.build() result = value.build()
# If the key is "func", then we need to use the run method # If the key is "func", then we need to use the run method
if key == "func" and not isinstance(result, types.FunctionType): if key == "func":
# func can be PythonFunction(code='\ndef upper_case(text: str) -> str:\n return text.upper()\n') if not isinstance(result, types.FunctionType):
# func can be
# PythonFunction(code='\ndef upper_case(text: str) -> str:\n return text.upper()\n')
# so we need to check if there is an attribute called run # so we need to check if there is an attribute called run
if hasattr(result, "run"): if hasattr(result, "run"):
result = result.run # type: ignore result = result.run # type: ignore
elif hasattr(result, "get_function"): elif hasattr(result, "get_function"):
result = result.get_function() # type: ignore result = result.get_function() # type: ignore
elif inspect.iscoroutinefunction(result):
self.params["coroutine"] = result
else:
# turn result which is a function into a coroutine
# so that it can be awaited
self.params["coroutine"] = sync_to_async(result)
self.params[key] = result self.params[key] = result
elif isinstance(value, list) and all( elif isinstance(value, list) and all(

4
src/backend/langflow/interface/chains/base.py
View file

@ -37,7 +37,9 @@ class ChainCreator(LangChainTypeCreator):
try: try:
if name in get_custom_nodes(self.type_name).keys(): if name in get_custom_nodes(self.type_name).keys():
return get_custom_nodes(self.type_name)[name] return get_custom_nodes(self.type_name)[name]
return build_template_from_class(name, self.type_to_loader_dict) return build_template_from_class(
name, self.type_to_loader_dict, add_function=True
)
except ValueError as exc: except ValueError as exc:
raise ValueError("Chain not found") from exc raise ValueError("Chain not found") from exc
except AttributeError as exc: except AttributeError as exc:

22
src/backend/langflow/interface/loading.py
View file

@ -20,6 +20,7 @@ from langchain.llms.loading import load_llm_from_config
from langflow.interface.agents.custom import CUSTOM_AGENTS from langflow.interface.agents.custom import CUSTOM_AGENTS
from langflow.interface.importing.utils import import_by_type from langflow.interface.importing.utils import import_by_type
from langflow.interface.run import fix_memory_inputs
from langflow.interface.toolkits.base import toolkits_creator from langflow.interface.toolkits.base import toolkits_creator
from langflow.interface.types import get_type_list from langflow.interface.types import get_type_list
from langflow.interface.utils import load_file_into_dict from langflow.interface.utils import load_file_into_dict
@ -33,6 +34,12 @@ def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any:
return custom_agent.initialize(**params) # type: ignore return custom_agent.initialize(**params) # type: ignore
class_object = import_by_type(_type=base_type, name=node_type) class_object = import_by_type(_type=base_type, name=node_type)
# check if it is a class before using issubclass
# if isinstance(class_object, type) and issubclass(class_object, BaseModel):
# # validate params
# fields = class_object.__fields__
# params = {key: value for key, value in params.items() if key in fields}
if base_type == "agents": if base_type == "agents":
# We need to initialize it differently # We need to initialize it differently
@ -65,6 +72,7 @@ def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any:
return load_toolkits_executor(node_type, loaded_toolkit, params) return load_toolkits_executor(node_type, loaded_toolkit, params)
return loaded_toolkit return loaded_toolkit
elif base_type == "embeddings": elif base_type == "embeddings":
# ? Why remove model from params?
params.pop("model") params.pop("model")
return class_object(**params) return class_object(**params)
elif base_type == "vectorstores": elif base_type == "vectorstores":
@ -106,7 +114,19 @@ def load_flow_from_json(path: str, build=True):
# Nodes, edges and root node # Nodes, edges and root node
edges = data_graph["edges"] edges = data_graph["edges"]
graph = Graph(nodes, edges) graph = Graph(nodes, edges)
return graph.build() if build else graph if build:
langchain_object = graph.build()
if hasattr(langchain_object, "verbose"):
langchain_object.verbose = True
if hasattr(langchain_object, "return_intermediate_steps"):
# https://github.com/hwchase17/langchain/issues/2068
# Deactivating until we have a frontend solution
# to display intermediate steps
langchain_object.return_intermediate_steps = False
fix_memory_inputs(langchain_object)
return langchain_object
return graph
def replace_zero_shot_prompt_with_prompt_template(nodes): def replace_zero_shot_prompt_with_prompt_template(nodes):

79
src/backend/langflow/interface/run.py
View file

@ -3,7 +3,7 @@ import io
from typing import Any, Dict from typing import Any, Dict
from chromadb.errors import NotEnoughElementsException # type: ignore from chromadb.errors import NotEnoughElementsException # type: ignore
from langflow.cache.utils import compute_dict_hash, load_cache, memoize_dict from langflow.cache.base import compute_dict_hash, load_cache, memoize_dict
from langflow.graph.graph import Graph from langflow.graph.graph import Graph
from langflow.interface import loading from langflow.interface import loading
from langflow.utils.logger import logger from langflow.utils.logger import logger
@ -32,23 +32,23 @@ def load_or_build_langchain_object(data_graph, is_first_message=False):
return build_langchain_object_with_caching(data_graph) return build_langchain_object_with_caching(data_graph)
@memoize_dict(maxsize=1) @memoize_dict(maxsize=10)
def build_langchain_object_with_caching(data_graph): def build_langchain_object_with_caching(data_graph):
""" """
Build langchain object from data_graph. Build langchain object from data_graph.
""" """
logger.debug("Building langchain object") logger.debug("Building langchain object")
nodes = data_graph["nodes"] graph = build_graph(data_graph)
# Add input variables
# nodes = payload.extract_input_variables(nodes)
# Nodes, edges and root node
edges = data_graph["edges"]
graph = Graph(nodes, edges)
return graph.build() return graph.build()
def build_graph(data_graph):
nodes = data_graph["nodes"]
edges = data_graph["edges"]
return Graph(nodes, edges)
def build_langchain_object(data_graph): def build_langchain_object(data_graph):
""" """
Build langchain object from data_graph. Build langchain object from data_graph.
@ -87,7 +87,7 @@ def process_graph(data_graph: Dict[str, Any]):
# Generate result and thought # Generate result and thought
logger.debug("Generating result and thought") logger.debug("Generating result and thought")
result, thought = get_result_and_thought_using_graph(langchain_object, message) result, thought = get_result_and_steps(langchain_object, message)
logger.debug("Generated result and thought") logger.debug("Generated result and thought")
# Save langchain_object to cache # Save langchain_object to cache
@ -118,7 +118,7 @@ def process_graph_cached(data_graph: Dict[str, Any]):
# Generate result and thought # Generate result and thought
logger.debug("Generating result and thought") logger.debug("Generating result and thought")
result, thought = get_result_and_thought_using_graph(langchain_object, message) result, thought = get_result_and_steps(langchain_object, message)
logger.debug("Generated result and thought") logger.debug("Generated result and thought")
return {"result": str(result), "thought": thought.strip()} return {"result": str(result), "thought": thought.strip()}
@ -184,7 +184,7 @@ def fix_memory_inputs(langchain_object):
update_memory_keys(langchain_object, possible_new_mem_key) update_memory_keys(langchain_object, possible_new_mem_key)
def get_result_and_thought_using_graph(langchain_object, message: str): def get_result_and_steps(langchain_object, message: str):
"""Get result and thought from extracted json""" """Get result and thought from extracted json"""
try: try:
if hasattr(langchain_object, "verbose"): if hasattr(langchain_object, "verbose"):
@ -240,6 +240,61 @@ def get_result_and_thought_using_graph(langchain_object, message: str):
return result, thought return result, thought
def async_get_result_and_steps(langchain_object, message: str):
"""Get result and thought from extracted json"""
try:
if hasattr(langchain_object, "verbose"):
langchain_object.verbose = True
chat_input = None
memory_key = ""
if hasattr(langchain_object, "memory") and langchain_object.memory is not None:
memory_key = langchain_object.memory.memory_key
if hasattr(langchain_object, "input_keys"):
for key in langchain_object.input_keys:
if key not in [memory_key, "chat_history"]:
chat_input = {key: message}
else:
chat_input = message # type: ignore
if hasattr(langchain_object, "return_intermediate_steps"):
# https://github.com/hwchase17/langchain/issues/2068
# Deactivating until we have a frontend solution
# to display intermediate steps
langchain_object.return_intermediate_steps = False
fix_memory_inputs(langchain_object)
with io.StringIO() as output_buffer, contextlib.redirect_stdout(output_buffer):
try:
# if hasattr(langchain_object, "acall"):
# output = await langchain_object.acall(chat_input)
# else:
output = langchain_object(chat_input)
except ValueError as exc:
# make the error message more informative
logger.debug(f"Error: {str(exc)}")
output = langchain_object.run(chat_input)
intermediate_steps = (
output.get("intermediate_steps", []) if isinstance(output, dict) else []
)
result = (
output.get(langchain_object.output_keys[0])
if isinstance(output, dict)
else output
)
if intermediate_steps:
thought = format_intermediate_steps(intermediate_steps)
else:
thought = output_buffer.getvalue()
except Exception as exc:
raise ValueError(f"Error: {str(exc)}") from exc
return result, thought
def get_result_and_thought(extracted_json: Dict[str, Any], message: str): def get_result_and_thought(extracted_json: Dict[str, Any], message: str):
"""Get result and thought from extracted json""" """Get result and thought from extracted json"""
try: try:

34
src/backend/langflow/interface/utils.py
View file

@ -1,5 +1,12 @@
import base64
from io import BytesIO
import json import json
import os import os
from PIL.Image import Image
from langchain.callbacks.base import AsyncCallbackManager
from langchain.chat_models import AzureChatOpenAI, ChatOpenAI
from langchain.llms import AzureOpenAI, OpenAI
from langflow.api.callback import StreamingLLMCallbackHandler
import yaml import yaml
@ -20,3 +27,30 @@ def load_file_into_dict(file_path: str) -> dict:
raise ValueError("Unsupported file type. Please provide a JSON or YAML file.") raise ValueError("Unsupported file type. Please provide a JSON or YAML file.")
return data return data
def pil_to_base64(image: Image) -> str:
buffered = BytesIO()
image.save(buffered, format="PNG")
img_str = base64.b64encode(buffered.getvalue())
return img_str.decode("utf-8")
def try_setting_streaming_options(langchain_object, websocket):
# If the LLM type is OpenAI or ChatOpenAI,
# set streaming to True
# First we need to find the LLM
llm = None
if hasattr(langchain_object, "llm"):
llm = langchain_object.llm
elif hasattr(langchain_object, "llm_chain") and hasattr(
langchain_object.llm_chain, "llm"
):
llm = langchain_object.llm_chain.llm
if isinstance(llm, (OpenAI, ChatOpenAI, AzureOpenAI, AzureChatOpenAI)):
llm.streaming = bool(hasattr(llm, "streaming"))
stream_handler = StreamingLLMCallbackHandler(websocket)
stream_manager = AsyncCallbackManager([stream_handler])
llm.callback_manager = stream_manager
return langchain_object

2
src/backend/langflow/main.py
View file

@ -3,6 +3,7 @@ from fastapi.middleware.cors import CORSMiddleware
from langflow.api.endpoints import router as endpoints_router from langflow.api.endpoints import router as endpoints_router
from langflow.api.validate import router as validate_router from langflow.api.validate import router as validate_router
from langflow.api.chat import router as chat_router
def create_app(): def create_app():
@ -23,6 +24,7 @@ def create_app():
app.include_router(endpoints_router) app.include_router(endpoints_router)
app.include_router(validate_router) app.include_router(validate_router)
app.include_router(chat_router)
return app return app

4
src/backend/langflow/template/base.py
View file

@ -229,10 +229,6 @@ class FrontendNode(BaseModel):
field.required = False field.required = False
if field.value is None: if field.value is None:
field.value = "" field.value = ""
# If the field.name contains api or api and key, then it might be an api key
# other conditions are to make sure that it is not an input or output variable
if "api" in key.lower() and "key" in key.lower():
field.required = False
if "kwargs" in field.name.lower(): if "kwargs" in field.name.lower():
field.advanced = True field.advanced = True

5
src/backend/langflow/template/nodes.py
View file

@ -199,6 +199,7 @@ class SeriesCharacterChainNode(FrontendNode):
"Chain", "Chain",
"ConversationChain", "ConversationChain",
"SeriesCharacterChain", "SeriesCharacterChain",
"function",
] ]
@ -317,7 +318,7 @@ class InitializeAgentNode(FrontendNode):
], ],
) )
description: str = """Construct a json agent from an LLM and tools.""" description: str = """Construct a json agent from an LLM and tools."""
base_classes: list[str] = ["AgentExecutor"] base_classes: list[str] = ["AgentExecutor", "function"]
def to_dict(self): def to_dict(self):
return super().to_dict() return super().to_dict()
@ -529,7 +530,7 @@ class ChainFrontendNode(FrontendNode):
field.advanced = True field.advanced = True
# Separated for possible future changes # Separated for possible future changes
if field.name == "prompt": if field.name == "prompt" and field.value is None:
# if no prompt is provided, use the default prompt # if no prompt is provided, use the default prompt
field.required = False field.required = False
field.show = True field.show = True

13
src/backend/langflow/utils/util.py
View file

@ -1,3 +1,4 @@
from functools import wraps
import importlib import importlib
import inspect import inspect
import re import re
@ -301,3 +302,15 @@ def update_verbose(d: dict, new_value: bool) -> dict:
elif k == "verbose": elif k == "verbose":
d[k] = new_value d[k] = new_value
return d return d
def sync_to_async(func):
"""
Decorator to convert a sync function to an async function.
"""
@wraps(func)
async def async_wrapper(*args, **kwargs):
return func(*args, **kwargs)
return async_wrapper

8
src/backend/run
View file

@ -1,8 +0,0 @@
#! /bin/bash
poetry remove langchain
docker build -t logspace/backend_build -f build.Dockerfile .
VERSION=$(toml get --toml-path pyproject.toml tool.poetry.version)
docker build --build-arg VERSION=$VERSION -t ibiscp/langflow:$VERSION .
docker run -p 5003:80 -d ibiscp/langflow:$VERSION
poetry add --editable ../../../langchain

5
src/frontend/build.Dockerfile
View file

@ -1,5 +0,0 @@
FROM node:14-alpine
WORKDIR /app
COPY . /app
RUN npm install
RUN npm run build

11
src/frontend/build_and_push
View file

@ -1,11 +0,0 @@
#! /bin/bash
# Read the contents of the JSON file
json=$(cat package.json)
# Extract the value of the "version" field using jq
VERSION=$(echo "$json" | jq -r '.version')
docker build -t logspace/frontend_build -f build.Dockerfile .
docker build --build-arg VERSION=$VERSION -t ibiscp/langflow_frontend:$VERSION .
docker push ibiscp/langflow_frontend:$VERSION

28
src/frontend/package-lock.json generated
View file

@ -25,13 +25,14 @@
"ace-builds": "^1.16.0", "ace-builds": "^1.16.0",
"ansi-to-html": "^0.7.2", "ansi-to-html": "^0.7.2",
"axios": "^1.3.2", "axios": "^1.3.2",
"base64-js": "^1.5.1",
"lodash": "^4.17.21", "lodash": "^4.17.21",
"react": "^18.2.0", "react": "^18.2.0",
"react-ace": "^10.1.0", "react-ace": "^10.1.0",
"react-cookie": "^4.1.1", "react-cookie": "^4.1.1",
"react-dom": "^18.2.0", "react-dom": "^18.2.0",
"react-error-boundary": "^4.0.2", "react-error-boundary": "^4.0.2",
"react-icons": "^4.7.1", "react-icons": "^4.8.0",
"react-laag": "^2.0.5", "react-laag": "^2.0.5",
"react-router-dom": "^6.8.1", "react-router-dom": "^6.8.1",
"react-scripts": "5.0.1", "react-scripts": "5.0.1",
@ -5862,6 +5863,25 @@
"resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz", "resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz",
"integrity": "sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw==" "integrity": "sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw=="
}, },
"node_modules/base64-js": {
"version": "1.5.1",
"resolved": "https://registry.npmjs.org/base64-js/-/base64-js-1.5.1.tgz",
"integrity": "sha512-AKpaYlHn8t4SVbOHCy+b5+KKgvR4vrsD8vbvrbiQJps7fKDTkjkDry6ji0rUJjC0kzbNePLwzxq8iypo41qeWA==",
"funding": [
{
"type": "github",
"url": "https://github.com/sponsors/feross"
},
{
"type": "patreon",
"url": "https://www.patreon.com/feross"
},
{
"type": "consulting",
"url": "https://feross.org/support"
}
]
},
"node_modules/batch": { "node_modules/batch": {
"version": "0.6.1", "version": "0.6.1",
"resolved": "https://registry.npmjs.org/batch/-/batch-0.6.1.tgz", "resolved": "https://registry.npmjs.org/batch/-/batch-0.6.1.tgz",
@ -15040,9 +15060,9 @@
"integrity": "sha512-/6UZ2qgEyH2aqzYZgQPxEnz33NJ2gNsnHA2o5+o4wW9bLM/JYQitNP9xPhsXwC08hMMovfGe/8retsdDsczPRg==" "integrity": "sha512-/6UZ2qgEyH2aqzYZgQPxEnz33NJ2gNsnHA2o5+o4wW9bLM/JYQitNP9xPhsXwC08hMMovfGe/8retsdDsczPRg=="
}, },
"node_modules/react-icons": { "node_modules/react-icons": {
"version": "4.7.1", "version": "4.8.0",
"resolved": "https://registry.npmjs.org/react-icons/-/react-icons-4.7.1.tgz", "resolved": "https://registry.npmjs.org/react-icons/-/react-icons-4.8.0.tgz",
"integrity": "sha512-yHd3oKGMgm7zxo3EA7H2n7vxSoiGmHk5t6Ou4bXsfcgWyhfDKMpyKfhHR6Bjnn63c+YXBLBPUql9H4wPJM6sXw==", "integrity": "sha512-N6+kOLcihDiAnj5Czu637waJqSnwlMNROzVZMhfX68V/9bu9qHaMIJC4UdozWoOk57gahFCNHwVvWzm0MTzRjg==",
"peerDependencies": { "peerDependencies": {
"react": "*" "react": "*"
} }

7
src/frontend/package.json
View file

@ -20,13 +20,14 @@
"ace-builds": "^1.16.0", "ace-builds": "^1.16.0",
"ansi-to-html": "^0.7.2", "ansi-to-html": "^0.7.2",
"axios": "^1.3.2", "axios": "^1.3.2",
"base64-js": "^1.5.1",
"lodash": "^4.17.21", "lodash": "^4.17.21",
"react": "^18.2.0", "react": "^18.2.0",
"react-ace": "^10.1.0", "react-ace": "^10.1.0",
"react-cookie": "^4.1.1", "react-cookie": "^4.1.1",
"react-dom": "^18.2.0", "react-dom": "^18.2.0",
"react-error-boundary": "^4.0.2", "react-error-boundary": "^4.0.2",
"react-icons": "^4.7.1", "react-icons": "^4.8.0",
"react-laag": "^2.0.5", "react-laag": "^2.0.5",
"react-router-dom": "^6.8.1", "react-router-dom": "^6.8.1",
"react-scripts": "5.0.1", "react-scripts": "5.0.1",
@ -37,7 +38,7 @@
"web-vitals": "^2.1.4" "web-vitals": "^2.1.4"
}, },
"scripts": { "scripts": {
"start": "react-scripts start", "start": "NODE_ENV=development react-scripts start",
"build": "react-scripts build", "build": "react-scripts build",
"test": "react-scripts test", "test": "react-scripts test",
"eject": "react-scripts eject" "eject": "react-scripts eject"
@ -60,5 +61,5 @@
"last 1 safari version" "last 1 safari version"
] ]
}, },
"proxy": "http://backend:7860" "proxy": "http://127.0.0.1:7860"
} }

57
src/frontend/src/CustomNodes/GenericNode/index.tsx
View file

@ -7,12 +7,13 @@ import {
} from "../../utils"; } from "../../utils";
import ParameterComponent from "./components/parameterComponent"; import ParameterComponent from "./components/parameterComponent";
import { typesContext } from "../../contexts/typesContext"; import { typesContext } from "../../contexts/typesContext";
import { useContext, useRef } from "react"; import { useContext, useState, useEffect, useRef } from "react";
import { NodeDataType } from "../../types/flow"; import { NodeDataType } from "../../types/flow";
import { alertContext } from "../../contexts/alertContext"; import { alertContext } from "../../contexts/alertContext";
import { PopUpContext } from "../../contexts/popUpContext"; import { PopUpContext } from "../../contexts/popUpContext";
import NodeModal from "../../modals/NodeModal"; import NodeModal from "../../modals/NodeModal";
import { useCallback } from "react";
import { TabsContext } from "../../contexts/tabsContext";
export default function GenericNode({ export default function GenericNode({
data, data,
selected, selected,
@ -25,6 +26,52 @@ export default function GenericNode({
const { types, deleteNode } = useContext(typesContext); const { types, deleteNode } = useContext(typesContext);
const { openPopUp } = useContext(PopUpContext); const { openPopUp } = useContext(PopUpContext);
const Icon = nodeIcons[types[data.type]]; const Icon = nodeIcons[types[data.type]];
const [validationStatus, setValidationStatus] = useState("idle");
// State for outline color
const [isValid, setIsValid] = useState(false);
const {save} = useContext(TabsContext)
const { reactFlowInstance } = useContext(typesContext);
const [params, setParams] = useState([]);
console.log();
useEffect(() => {
if (reactFlowInstance) {
setParams(Object.values(reactFlowInstance.toObject()));
}
}, [save]);
useEffect(() => {
try {
fetch(`/validate/node/${data.id}`, {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify(reactFlowInstance.toObject()),
}).then((response) => {
console.log(response.status, response.body);
if (response.status === 200) {
setValidationStatus("success");
} else if (response.status === 500) {
setValidationStatus("error");
}
});
} catch (error) {
console.error("Error validating node:", error);
setValidationStatus("error");
}
}, [params]);
useEffect(() => {
if (validationStatus === "success") {
setIsValid(true);
} else {
setIsValid(false);
}
}, [validationStatus]);
if (!Icon) { if (!Icon) {
if (showError.current) { if (showError.current) {
setErrorData({ setErrorData({
@ -37,9 +84,11 @@ export default function GenericNode({
deleteNode(data.id); deleteNode(data.id);
return; return;
} }
return ( return (
<div <div
className={classNames( className={classNames(
isValid ? "animate-pulse-green" : "border-red-outline",
selected ? "border border-blue-500" : "border dark:border-gray-700", selected ? "border border-blue-500" : "border dark:border-gray-700",
"prompt-node relative bg-white dark:bg-gray-900 w-96 rounded-lg flex flex-col justify-center" "prompt-node relative bg-white dark:bg-gray-900 w-96 rounded-lg flex flex-col justify-center"
)} )}
@ -108,7 +157,9 @@ export default function GenericNode({
"px-5 py-2 mt-2 dark:text-white text-center", "px-5 py-2 mt-2 dark:text-white text-center",
Object.keys(data.node.template).filter( Object.keys(data.node.template).filter(
(key) => (key) =>
!key.startsWith("_") && data.node.template[key].show !key.startsWith("_") &&
data.node.template[key].show &&
!data.node.template[key].advanced
).length === 0 ).length === 0
? "hidden" ? "hidden"
: "" : ""

60
src/frontend/src/alerts/alertDropDown/components/singleAlertComponent/index.tsx
View file

@ -1,10 +1,18 @@
import { XCircleIcon, XMarkIcon, InformationCircleIcon, CheckCircleIcon } from "@heroicons/react/24/outline"; import {
XCircleIcon,
XMarkIcon,
InformationCircleIcon,
CheckCircleIcon,
} from "@heroicons/react/24/outline";
import { Link } from "react-router-dom"; import { Link } from "react-router-dom";
import { Transition } from "@headlessui/react"; import { Transition } from "@headlessui/react";
import { useState } from "react"; import { useState } from "react";
import { SingleAlertComponentType } from "../../../../types/alerts"; import { SingleAlertComponentType } from "../../../../types/alerts";
export default function SingleAlert({ dropItem, removeAlert}:SingleAlertComponentType) { export default function SingleAlert({
dropItem,
removeAlert,
}: SingleAlertComponentType) {
const [show, setShow] = useState(true); const [show, setShow] = useState(true);
const type = dropItem.type; const type = dropItem.type;
@ -20,13 +28,13 @@ export default function SingleAlert({ dropItem, removeAlert}:SingleAlertComponen
leaveFrom={"transform translate-x-0"} leaveFrom={"transform translate-x-0"}
leaveTo={"transform translate-x-[-100%]"} leaveTo={"transform translate-x-[-100%]"}
> >
{type === "error"? {type === "error" ? (
<div className="flex bg-red-50 rounded-md p-3 mb-2 mx-2" key={dropItem.id}> <div
className="flex bg-red-50 rounded-md p-3 mb-2 mx-2"
key={dropItem.id}
>
<div className="flex-shrink-0"> <div className="flex-shrink-0">
<XCircleIcon <XCircleIcon className="h-5 w-5 text-red-400" aria-hidden="true" />
className="h-5 w-5 text-red-400"
aria-hidden="true"
/>
</div> </div>
<div className="ml-3"> <div className="ml-3">
<h3 className="text-sm font-medium text-red-800"> <h3 className="text-sm font-medium text-red-800">
@ -49,7 +57,10 @@ export default function SingleAlert({ dropItem, removeAlert}:SingleAlertComponen
<button <button
type="button" type="button"
onClick={() => { onClick={() => {
setShow(false); setTimeout(() => {removeAlert(dropItem.id);}, 500); setShow(false);
setTimeout(() => {
removeAlert(dropItem.id);
}, 500);
}} }}
className="inline-flex rounded-md bg-red-50 p-1.5 text-red-500" className="inline-flex rounded-md bg-red-50 p-1.5 text-red-500"
> >
@ -59,8 +70,11 @@ export default function SingleAlert({ dropItem, removeAlert}:SingleAlertComponen
</div> </div>
</div> </div>
</div> </div>
:(type === "notice" ? ) : type === "notice" ? (
<div className="flex rounded-md bg-blue-50 p-3 mb-2 mx-2" key={dropItem.id}> <div
className="flex rounded-md bg-blue-50 p-3 mb-2 mx-2"
key={dropItem.id}
>
<div className="flex-shrink-0"> <div className="flex-shrink-0">
<InformationCircleIcon <InformationCircleIcon
className="h-5 w-5 text-blue-400" className="h-5 w-5 text-blue-400"
@ -87,7 +101,10 @@ export default function SingleAlert({ dropItem, removeAlert}:SingleAlertComponen
<button <button
type="button" type="button"
onClick={() => { onClick={() => {
setShow(false); setTimeout(() => {removeAlert(dropItem.id);}, 500); setShow(false);
setTimeout(() => {
removeAlert(dropItem.id);
}, 500);
}} }}
className="inline-flex rounded-md bg-blue-50 p-1.5 text-blue-500" className="inline-flex rounded-md bg-blue-50 p-1.5 text-blue-500"
> >
@ -97,8 +114,11 @@ export default function SingleAlert({ dropItem, removeAlert}:SingleAlertComponen
</div> </div>
</div> </div>
</div> </div>
: ) : (
<div className="flex bg-green-50 p-3 mb-2 mx-2 rounded-md" key={dropItem.id}> <div
className="flex bg-green-50 p-3 mb-2 mx-2 rounded-md"
key={dropItem.id}
>
<div className="flex-shrink-0"> <div className="flex-shrink-0">
<CheckCircleIcon <CheckCircleIcon
className="h-5 w-5 text-green-400" className="h-5 w-5 text-green-400"
@ -115,7 +135,10 @@ export default function SingleAlert({ dropItem, removeAlert}:SingleAlertComponen
<button <button
type="button" type="button"
onClick={() => { onClick={() => {
setShow(false); setTimeout(() => {removeAlert(dropItem.id);}, 500); setShow(false);
setTimeout(() => {
removeAlert(dropItem.id);
}, 500);
}} }}
className="inline-flex rounded-md bg-green-50 p-1.5 text-green-500" className="inline-flex rounded-md bg-green-50 p-1.5 text-green-500"
> >
@ -125,10 +148,7 @@ export default function SingleAlert({ dropItem, removeAlert}:SingleAlertComponen
</div> </div>
</div> </div>
</div> </div>
) )}
}
</Transition> </Transition>
) );
} }

37
src/frontend/src/alerts/alertDropDown/index.tsx
View file

@ -5,29 +5,15 @@ import { TrashIcon } from "@heroicons/react/24/outline";
import SingleAlert from "./components/singleAlertComponent"; import SingleAlert from "./components/singleAlertComponent";
import { AlertDropdownType } from "../../types/alerts"; import { AlertDropdownType } from "../../types/alerts";
import { PopUpContext } from "../../contexts/popUpContext"; import { PopUpContext } from "../../contexts/popUpContext";
import { useOnClickOutside } from "../hooks/useOnClickOutside";
export default function AlertDropdown({}: AlertDropdownType) { export default function AlertDropdown({}: AlertDropdownType) {
const { closePopUp } = useContext(PopUpContext); const { closePopUp } = useContext(PopUpContext);
const componentRef = useRef<HTMLDivElement>(null); const componentRef = useRef<HTMLDivElement>(null);
useEffect(() => { // Use the custom hook
function handleClickOutside(event: MouseEvent) { useOnClickOutside(componentRef, () => {
if (
componentRef.current &&
!componentRef.current.contains(event.target as Node)
) {
closePopUp(); closePopUp();
} });
}
// Bind the event listener
document.addEventListener("mousedown", handleClickOutside);
// Cleanup the event listener when the component is unmounted
return () => {
document.removeEventListener("mousedown", handleClickOutside);
};
}, [componentRef]);
const { const {
notificationList, notificationList,
@ -38,13 +24,13 @@ export default function AlertDropdown({}: AlertDropdownType) {
return ( return (
<div <div
ref={componentRef} ref={componentRef}
className="z-10 py-3 pb-4 rounded-md bg-white ring-1 ring-black ring-opacity-5 shadow-lg focus:outline-none overflow-hidden w-[16rem] h-[28rem] flex flex-col" className="z-10 py-3 pb-4 rounded-md bg-white dark:bg-gray-800 ring-1 ring-black ring-opacity-5 shadow-lg focus:outline-none overflow-hidden w-[16rem] h-[28rem] flex flex-col"
> >
<div className="flex pl-3 flex-row justify-between text-md font-medium text-gray-800"> <div className="flex pl-3 flex-row justify-between text-md font-medium text-gray-800 dark:text-gray-200">
Notifications Notifications
<div className="flex gap-2 pr-3 "> <div className="flex gap-2 pr-3 ">
<button <button
className="hover:text-red-500" className="text-gray-800 hover:text-red-500 dark:text-gray-200 dark:hover:text-red-500"
onClick={() => { onClick={() => {
closePopUp(); closePopUp();
setTimeout(clearNotificationList, 100); setTimeout(clearNotificationList, 100);
@ -52,12 +38,15 @@ export default function AlertDropdown({}: AlertDropdownType) {
> >
<TrashIcon className="w-[1.1rem] h-[1.1rem]" /> <TrashIcon className="w-[1.1rem] h-[1.1rem]" />
</button> </button>
<button className="hover:text-red-500" onClick={closePopUp}> <button
className="text-gray-800 hover:text-red-500 dark:text-gray-200 dark:hover:text-red-500"
onClick={closePopUp}
>
<XMarkIcon className="h-5 w-5" /> <XMarkIcon className="h-5 w-5" />
</button> </button>
</div> </div>
</div> </div>
<div className="mt-2 flex flex-col overflow-y-scroll w-full h-full scrollbar-hide"> <div className="mt-2 flex flex-col overflow-y-scroll w-full h-full scrollbar-hide text-gray-900 dark:text-gray-300">
{notificationList.length !== 0 ? ( {notificationList.length !== 0 ? (
notificationList.map((alertItem, index) => ( notificationList.map((alertItem, index) => (
<SingleAlert <SingleAlert
@ -67,7 +56,7 @@ export default function AlertDropdown({}: AlertDropdownType) {
/> />
)) ))
) : ( ) : (
<div className="h-full w-full pb-16 text-gray-500 flex justify-center items-center"> <div className="h-full w-full pb-16 text-gray-500 dark:text-gray-500 flex justify-center items-center">
No new notifications No new notifications
</div> </div>
)} )}

33
src/frontend/src/alerts/hooks/useOnClickOutside/index.ts Normal file
View file

@ -0,0 +1,33 @@
import { useEffect } from "react";
export function useOnClickOutside(ref, handler) {
useEffect(() => {
const listener = (event) => {
// Do nothing if clicking ref's element or its children
if (!ref.current || ref.current.contains(event.target)) {
return;
}
handler(event);
};
// Attach the listener to the document
document.addEventListener("mousedown", listener, { passive: true });
// Attach the listener to the react-flow instance
const reactFlowContainer = document.querySelector(".react-flow");
if (reactFlowContainer) {
reactFlowContainer.addEventListener("mousedown", listener, {
passive: true,
});
}
// Clean up the listener when the component is unmounted
return () => {
document.removeEventListener("mousedown", listener);
if (reactFlowContainer) {
reactFlowContainer.removeEventListener("mousedown", listener);
}
};
}, [ref, handler]); // Rerun only if ref or handler changes
}

40
src/frontend/src/assets/Gooey Ring-5s-271px.svg Normal file
View file

@ -0,0 +1,40 @@
<?xml version="1.0" encoding="utf-8"?>
<svg xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" style="margin: auto; background: none; display: block; shape-rendering: auto;" width="271px" height="271px" viewBox="0 0 100 100" preserveAspectRatio="xMidYMid">
<defs>
<filter id="ldio-978hsxudfzl-filter" x="-100%" y="-100%" width="300%" height="300%" color-interpolation-filters="sRGB">
<feGaussianBlur in="SourceGraphic" stdDeviation="3.6"></feGaussianBlur>
<feComponentTransfer result="cutoff">
<feFuncA type="table" tableValues="0 0 0 0 0 0 1 1 1 1 1"></feFuncA>
</feComponentTransfer>
</filter>
</defs>
<g filter="url(#ldio-978hsxudfzl-filter)"><g transform="translate(50 50)">
<g>
<circle cx="8" cy="0" r="5" fill="#2edbb5">
<animate attributeName="r" keyTimes="0;0.5;1" values="5.3999999999999995;12.6;5.3999999999999995" dur="5s" repeatCount="indefinite" begin="-0.2s"></animate>
</circle>
<animateTransform attributeName="transform" type="rotate" keyTimes="0;1" values="0;360" dur="5s" repeatCount="indefinite" begin="0s"></animateTransform>
</g>
</g><g transform="translate(50 50)">
<g>
<circle cx="8" cy="0" r="5" fill="#1d99ff">
<animate attributeName="r" keyTimes="0;0.5;1" values="5.3999999999999995;12.6;5.3999999999999995" dur="2.5s" repeatCount="indefinite" begin="-0.15000000000000002s"></animate>
</circle>
<animateTransform attributeName="transform" type="rotate" keyTimes="0;1" values="0;360" dur="2.5s" repeatCount="indefinite" begin="-0.05s"></animateTransform>
</g>
</g><g transform="translate(50 50)">
<g>
<circle cx="8" cy="0" r="5" fill="#4f41ff">
<animate attributeName="r" keyTimes="0;0.5;1" values="5.3999999999999995;12.6;5.3999999999999995" dur="1.6666666666666665s" repeatCount="indefinite" begin="-0.1s"></animate>
</circle>
<animateTransform attributeName="transform" type="rotate" keyTimes="0;1" values="0;360" dur="1.6666666666666665s" repeatCount="indefinite" begin="-0.1s"></animateTransform>
</g>
</g><g transform="translate(50 50)">
<g>
<circle cx="8" cy="0" r="5" fill="#8400ff">
<animate attributeName="r" keyTimes="0;0.5;1" values="5.3999999999999995;12.6;5.3999999999999995" dur="1.25s" repeatCount="indefinite" begin="-0.05s"></animate>
</circle>
<animateTransform attributeName="transform" type="rotate" keyTimes="0;1" values="0;360" dur="1.25s" repeatCount="indefinite" begin="-0.15000000000000002s"></animateTransform>
</g>
</g></g>
<!-- [ldio] generated by https://loading.io/ --></svg>
Side by side

After

Width:  |  Height:  |  Size: 2.5 KiB

37
src/frontend/src/components/chatComponent/chatTrigger/index.tsx Normal file
View file

@ -0,0 +1,37 @@
import { Transition } from "@headlessui/react";
import { Bars3CenterLeftIcon, ChatBubbleBottomCenterTextIcon } from "@heroicons/react/24/outline";
import { nodeColors } from "../../../utils";
import { PopUpContext } from "../../../contexts/popUpContext";
import { useContext } from "react";
import ChatModal from "../../../modals/chatModal";
export default function ChatTrigger({open, setOpen,flow}){
const {openPopUp} = useContext(PopUpContext)
return(<Transition
show={!open}
appear={true}
enter="transition ease-out duration-300"
enterFrom="translate-y-96"
enterTo="translate-y-0"
leave="transition ease-in duration-300"
leaveFrom="translate-y-0"
leaveTo="translate-y-96"
>
<div className="absolute bottom-2 right-3">
<div style={{backgroundColor:nodeColors['chat']}} className="border flex justify-center align-center py-1 px-3 w-12 h-12 rounded-full dark:bg-gray-800 dark:border-gray-600 dark:text-white">
<button
onClick={() => {
setOpen(true);
}}
>
<div className="flex gap-3 items-center">
<ChatBubbleBottomCenterTextIcon
className="h-6 w-6 mt-1"
style={{ color: "white" }}
/>
</div>
</button>
</div>
</div>
</Transition>)
}

303
src/frontend/src/components/chatComponent/index.tsx
View file

@ -1,291 +1,32 @@
import { Transition } from "@headlessui/react"; import { useEffect, useRef, useState } from "react";
import {
Bars3CenterLeftIcon, import { ChatMessageType, ChatType } from "../../types/chat";
LockClosedIcon, import ChatTrigger from "./chatTrigger";
PaperAirplaneIcon, import ChatModal from "../../modals/chatModal";
XMarkIcon,
} from "@heroicons/react/24/outline";
import {
MouseEventHandler,
useContext,
useEffect,
useRef,
useState,
} from "react";
import { sendAll } from "../../controllers/API";
import { alertContext } from "../../contexts/alertContext";
import { classNames, nodeColors, snakeToNormalCase } from "../../utils";
import { TabsContext } from "../../contexts/tabsContext";
import { ChatType } from "../../types/chat";
import ChatMessage from "./chatMessage";
import { NodeType } from "../../types/flow";
const _ = require("lodash"); const _ = require("lodash");
export default function Chat({ flow, reactFlowInstance }: ChatType) { export default function Chat({ flow }: ChatType) {
const { updateFlow, lockChat, setLockChat, flows, tabIndex } = const [open, setOpen] = useState(false);
useContext(TabsContext); useEffect(() => {
const [saveChat, setSaveChat] = useState(false); const handleKeyDown = (event: KeyboardEvent) => {
const [open, setOpen] = useState(true); if (
const [chatValue, setChatValue] = useState(""); (event.key === "K" || event.key === "k") &&
const [chatHistory, setChatHistory] = useState(flow.chat); (event.metaKey || event.ctrlKey)
const { setErrorData, setNoticeData } = useContext(alertContext); ) {
const addChatHistory = ( event.preventDefault();
message: string, setOpen((oldState) => !oldState);
isSend: boolean,
thought?: string
) => {
let tabsChange = false;
setChatHistory((old) => {
let newChat = _.cloneDeep(old);
if (JSON.stringify(flow.chat) !== JSON.stringify(old)) {
tabsChange = true;
return old;
} }
if (thought) {
newChat.push({ message, isSend, thought });
} else {
newChat.push({ message, isSend });
}
return newChat;
});
if (tabsChange) {
if (thought) {
updateFlow({
..._.cloneDeep(flow),
chat: [...flow.chat, { isSend, message, thought }],
});
} else {
updateFlow({
..._.cloneDeep(flow),
chat: [...flow.chat, { isSend, message }],
});
}
}
setSaveChat((chat) => !chat);
}; };
useEffect(() => { document.addEventListener("keydown", handleKeyDown);
updateFlow({ ..._.cloneDeep(flow), chat: chatHistory }); return () => {
// eslint-disable-next-line react-hooks/exhaustive-deps document.removeEventListener("keydown", handleKeyDown);
}, [saveChat]); };
useEffect(() => { }, []);
setChatHistory(flow.chat);
}, [flow]);
useEffect(() => {
if (ref.current) ref.current.scrollIntoView({ behavior: "smooth" });
}, [chatHistory]);
function validateNode(n: NodeType): Array<string> {
if (!n.data?.node?.template || !Object.keys(n.data.node.template)) {
setNoticeData({
title:
"We've noticed a potential issue with a node in the flow. Please review it and, if necessary, submit a bug report with your exported flow file. Thank you for your help!",
});
return [];
}
const {
type,
node: { template },
} = n.data;
return Object.keys(template).reduce(
(errors: Array<string>, t) =>
errors.concat(
(template[t].required) &&
(template[t].value===undefined || template[t].value === "") &&
!reactFlowInstance
.getEdges()
.some(
(e) =>
e.targetHandle.split("|")[1] === t &&
e.targetHandle.split("|")[2] === n.id
)
? [
`${type} is missing ${
template.display_name
? template.display_name
: snakeToNormalCase(template[t].name)
}.`,
]
: []
),
[] as string[]
);
}
function validateNodes() {
return reactFlowInstance
.getNodes()
.flatMap((n: NodeType) => validateNode(n));
}
const ref = useRef(null);
function sendMessage() {
if (chatValue !== "") {
let nodeValidationErrors = validateNodes();
if (nodeValidationErrors.length === 0) {
setLockChat(true);
let message = chatValue;
setChatValue("");
addChatHistory(message, true);
sendAll({
...reactFlowInstance.toObject(),
message,
chatHistory,
name: flow.name,
description: flow.description,
})
.then((r) => {
addChatHistory(r.data.result, false, r.data.thought);
setLockChat(false);
})
.catch((error) => {
setErrorData({
title: error.message ?? "Unknown Error",
list: [error.response.data.detail],
});
setLockChat(false);
let lastMessage;
setChatHistory((chatHistory) => {
let newChat = chatHistory;
lastMessage = newChat.pop().message;
return newChat;
});
setChatValue(lastMessage);
});
} else {
setErrorData({
title: "Oops! Looks like you missed some required information:",
list: nodeValidationErrors,
});
}
} else {
setErrorData({
title: "Error sending message",
list: ["The message cannot be empty."],
});
}
}
function clearChat() {
setChatHistory([]);
updateFlow({ ..._.cloneDeep(flow), chat: [] });
}
return ( return (
<> <>
<Transition <ChatModal key={flow.id} flow={flow} open={open} setOpen={setOpen} />
show={open} <ChatTrigger open={open} setOpen={setOpen} flow={flow} />
appear={true}
enter="transition ease-out duration-300"
enterFrom="translate-y-96"
enterTo="translate-y-0"
leave="transition ease-in duration-300"
leaveFrom="translate-y-0"
leaveTo="translate-y-96"
>
<div className="w-[340px] absolute bottom-0 right-1">
<div className="border dark:border-gray-700 h-full rounded-xl rounded-b-none bg-white dark:bg-gray-800 shadow">
<div
onClick={() => {
setOpen(false);
}}
className="flex justify-between cursor-pointer items-center px-5 py-2 border-b dark:border-b-gray-700"
>
<div className="flex gap-3 text-lg dark:text-white font-medium items-center">
<Bars3CenterLeftIcon
className="h-5 w-5 mt-1"
style={{ color: nodeColors["chat"] }}
/>
Chat
</div>
<button
className="hover:text-blue-500 dark:text-white"
onClick={(e) => {
e.stopPropagation();
clearChat();
}}
>
Clear
</button>
</div>
<div className="w-full h-[400px] flex gap-3 mb-auto overflow-y-auto scrollbar-hide flex-col bg-gray-50 dark:bg-gray-900 p-3 py-5">
{chatHistory.map((c, i) => (
<ChatMessage chat={c} key={i} />
))}
<div ref={ref}></div>
</div>
<div className="w-full bg-white dark:bg-gray-800 border-t dark:border-t-gray-600 flex items-center justify-between p-3">
<div className="relative w-full mt-1 rounded-md shadow-sm">
<input
onKeyDown={(event) => {
if (event.key === "Enter" && !lockChat) {
sendMessage();
}
}}
type="text"
disabled={lockChat}
value={lockChat ? "Thinking..." : chatValue}
onChange={(e) => {
setChatValue(e.target.value);
}}
className={classNames(
lockChat ? "bg-gray-500 text-white" : "dark:bg-gray-700",
"form-input block w-full rounded-md border-gray-300 dark:border-gray-600 dark:text-white pr-10 sm:text-sm"
)}
placeholder={"Send a message..."}
/>
<div className="absolute inset-y-0 right-0 flex items-center pr-3">
<button disabled={lockChat} onClick={() => sendMessage()}>
{lockChat ? (
<LockClosedIcon
className="h-5 w-5 text-gray-400 dark:hover:text-gray-300 animate-pulse"
aria-hidden="true"
/>
) : (
<PaperAirplaneIcon
className="h-5 w-5 text-gray-400 hover:text-gray-600 dark:hover:text-gray-300"
aria-hidden="true"
/>
)}
</button>
</div>
</div>
</div>
</div>
</div>
</Transition>
<Transition
show={!open}
appear={true}
enter="transition ease-out duration-300"
enterFrom="translate-y-96"
enterTo="translate-y-0"
leave="transition ease-in duration-300"
leaveFrom="translate-y-0"
leaveTo="translate-y-96"
>
<div className="absolute bottom-0 right-1">
<div className="border flex justify-center align-center py-1 px-3 rounded-xl rounded-b-none bg-white dark:bg-gray-800 dark:border-gray-600 dark:text-white shadow">
<button
onClick={() => {
setOpen(true);
}}
>
<div className="flex gap-3 items-center">
<Bars3CenterLeftIcon
className="h-6 w-6 mt-1"
style={{ color: nodeColors["chat"] }}
/>
Chat
</div>
</button>
</div>
</div>
</Transition>
</> </>
); );
} }

31
src/frontend/src/components/dropdownComponent/index.tsx
View file

@ -4,18 +4,27 @@ 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({value, options, onSelect}:DropDownComponentType) { export default function Dropdown({
let [internalValue,setInternalValue] = useState(value===""||!value?"Choose an option":value) value,
options,
onSelect,
}: DropDownComponentType) {
let [internalValue, setInternalValue] = useState(
value === "" || !value ? "Choose an option" : value
);
return ( return (
<> <>
<Listbox value={internalValue} onChange={(value)=>{ <Listbox
setInternalValue(value) value={internalValue}
onSelect(value) onChange={(value) => {
}}> setInternalValue(value);
onSelect(value);
}}
>
{({ open }) => ( {({ open }) => (
<> <>
<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 dark:bg-gray-900 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 w-max truncate">{internalValue}</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
@ -32,14 +41,16 @@ export default function Dropdown({value, options, onSelect}:DropDownComponentTyp
leaveFrom="opacity-100" leaveFrom="opacity-100"
leaveTo="opacity-0" leaveTo="opacity-0"
> >
<Listbox.Options className="absolute z-10 mt-1 max-h-60 w-full overflow-auto rounded-md bg-white py-1 text-base shadow-lg ring-1 ring-black ring-opacity-5 focus:outline-none sm:text-sm"> <Listbox.Options className="absolute z-10 mt-1 max-h-60 w-full dark:bg-gray-800 overflow-auto rounded-md bg-white py-1 text-base shadow-lg ring-1 ring-black ring-opacity-5 focus:outline-none sm:text-sm">
{options.map((option, id) => ( {options.map((option, id) => (
<Listbox.Option <Listbox.Option
key={id} key={id}
className={({ active }) => className={({ active }) =>
classNames( classNames(
active ? "text-white bg-indigo-600" : "text-gray-900", active
"relative cursor-default select-none py-2 pl-3 pr-9" ? "text-white bg-indigo-600 dark:bg-indigo-500"
: "text-gray-900",
"relative cursor-default select-none py-2 pl-3 pr-9 dark:text-gray-300 dark:bg-gray-800"
) )
} }
value={option} value={option}

15
src/frontend/src/contexts/tabsContext.tsx
View file

@ -12,6 +12,7 @@ import { normalCaseToSnakeCase, updateObject } from "../utils";
import { alertContext } from "./alertContext"; import { alertContext } from "./alertContext";
import { typesContext } from "./typesContext"; import { typesContext } from "./typesContext";
import { TemplateVariableType } from "../types/api"; import { TemplateVariableType } from "../types/api";
const { v4: uuidv4 } = require('uuid');
const TabsContextInitialValue: TabsContextType = { const TabsContextInitialValue: TabsContextType = {
save: () => {}, save: () => {},
@ -24,8 +25,6 @@ const TabsContextInitialValue: TabsContextType = {
incrementNodeId: () => 0, incrementNodeId: () => 0,
downloadFlow: (flow: FlowType) => {}, downloadFlow: (flow: FlowType) => {},
uploadFlow: () => {}, uploadFlow: () => {},
lockChat: false,
setLockChat: (prevState: boolean) => {},
hardReset: () => {}, hardReset: () => {},
}; };
@ -37,8 +36,7 @@ export function TabsProvider({ children }: { children: ReactNode }) {
const { setNoticeData } = useContext(alertContext); const { setNoticeData } = useContext(alertContext);
const [tabIndex, setTabIndex] = useState(0); const [tabIndex, setTabIndex] = useState(0);
const [flows, setFlows] = useState<Array<FlowType>>([]); const [flows, setFlows] = useState<Array<FlowType>>([]);
const [id, setId] = useState(0); const [id, setId] = useState("");
const [lockChat, setLockChat] = useState(false);
const { templates } = useContext(typesContext); const { templates } = useContext(typesContext);
const newNodeId = useRef(0); const newNodeId = useRef(0);
@ -47,7 +45,6 @@ export function TabsProvider({ children }: { children: ReactNode }) {
return newNodeId.current; return newNodeId.current;
} }
function save() { function save() {
console.log("save");
if (flows.length !== 0) if (flows.length !== 0)
window.localStorage.setItem( window.localStorage.setItem(
"tabsData", "tabsData",
@ -86,7 +83,7 @@ export function TabsProvider({ children }: { children: ReactNode }) {
newNodeId.current = 0; newNodeId.current = 0;
setTabIndex(0); setTabIndex(0);
setFlows([]); setFlows([]);
setId(0); setId("");
} }
/** /**
@ -184,11 +181,10 @@ export function TabsProvider({ children }: { children: ReactNode }) {
name: flow?.name ?? "New Flow", name: flow?.name ?? "New Flow",
id: id.toString(), id: id.toString(),
data, data,
chat: flow ? flow.chat : [],
}; };
// Increment the ID counter. // Increment the ID counter.
setId((old) => old + 1); setId(uuidv4());
// Add the new flow to the list of flows. // Add the new flow to the list of flows.
setFlows((prevState) => { setFlows((prevState) => {
@ -211,7 +207,6 @@ export function TabsProvider({ children }: { children: ReactNode }) {
newFlows[index].description = newFlow.description ?? ""; newFlows[index].description = newFlow.description ?? "";
newFlows[index].data = newFlow.data; newFlows[index].data = newFlow.data;
newFlows[index].name = newFlow.name; newFlows[index].name = newFlow.name;
newFlows[index].chat = newFlow.chat;
} }
return newFlows; return newFlows;
}); });
@ -222,8 +217,6 @@ export function TabsProvider({ children }: { children: ReactNode }) {
value={{ value={{
save, save,
hardReset, hardReset,
lockChat,
setLockChat,
tabIndex, tabIndex,
setTabIndex, setTabIndex,
flows, flows,

25
src/frontend/src/controllers/API/index.ts
View file

@ -1,7 +1,7 @@
import { PromptTypeAPI, errorsTypeAPI } from './../../types/api/index'; import { PromptTypeAPI, errorsTypeAPI } from "./../../types/api/index";
import { APIObjectType, sendAllProps } from '../../types/api/index'; import { APIObjectType, sendAllProps } from "../../types/api/index";
import axios, { AxiosResponse } from "axios"; import axios, { AxiosResponse } from "axios";
import { FlowType } from '../../types/flow'; import { FlowType } from "../../types/flow";
export async function getAll(): Promise<AxiosResponse<APIObjectType>> { export async function getAll(): Promise<AxiosResponse<APIObjectType>> {
return await axios.get(`/all`); return await axios.get(`/all`);
@ -11,22 +11,25 @@ export async function sendAll(data:sendAllProps) {
return await axios.post(`/predict`, data); return await axios.post(`/predict`, data);
} }
export async function checkCode(code:string):Promise<AxiosResponse<errorsTypeAPI>>{ export async function checkCode(
code: string
return await axios.post('/validate/code',{code}) ): Promise<AxiosResponse<errorsTypeAPI>> {
return await axios.post("/validate/code", { code });
} }
export async function checkPrompt(template:string):Promise<AxiosResponse<PromptTypeAPI>>{ export async function checkPrompt(
template: string
return await axios.post('/validate/prompt',{template}) ): Promise<AxiosResponse<PromptTypeAPI>> {
return await axios.post("/validate/prompt", { template });
} }
export async function getExamples(): Promise<FlowType[]> { export async function getExamples(): Promise<FlowType[]> {
const url = 'https://api.github.com/repos/logspace-ai/langflow_examples/contents/examples'; const url =
"https://api.github.com/repos/logspace-ai/langflow_examples/contents/examples";
const response = await axios.get(url); const response = await axios.get(url);
const jsonFiles = response.data.filter((file: any) => { const jsonFiles = response.data.filter((file: any) => {
return file.name.endsWith('.json'); return file.name.endsWith(".json");
}); });
const contentsPromises = jsonFiles.map(async (file: any) => { const contentsPromises = jsonFiles.map(async (file: any) => {

55
src/frontend/src/modals/chatModal/chatInput/index.tsx Normal file
View file

@ -0,0 +1,55 @@
import { LockClosedIcon, PaperAirplaneIcon } from "@heroicons/react/24/outline";
import { classNames } from "../../../utils";
import { useRef } from "react";
export default function ChatInput({
lockChat,
chatValue,
sendMessage,
setChatValue,
}: {
lockChat: boolean;
chatValue: string;
sendMessage: Function;
setChatValue: Function;
}) {
const inputRef = useRef(null);
return (
<>
<textarea
onKeyDown={(event) => {
if (event.key === "Enter" && !lockChat && !event.shiftKey) {
sendMessage();
}
}}
ref={inputRef}
disabled={lockChat}
style={{resize: "none" }}
value={lockChat ? "Thinking..." : chatValue}
onChange={(e) => {
setChatValue(e.target.value);
}}
className={classNames(
lockChat ? "bg-gray-500 text-white" : "dark:bg-gray-700",
"form-input block w-full custom-scroll h-10 rounded-md border-gray-300 dark:border-gray-600 dark:text-white pr-10 sm:text-sm"
)}
placeholder={"Send a message..."}
/>
<div className="absolute inset-y-0 right-0 flex items-center pr-3">
<button disabled={lockChat} onClick={() => sendMessage()}>
{lockChat ? (
<LockClosedIcon
className="h-5 w-5 text-gray-400 dark:hover:text-gray-300 animate-pulse"
aria-hidden="true"
/>
) : (
<PaperAirplaneIcon
className="h-5 w-5 text-gray-400 hover:text-gray-600 dark:hover:text-gray-300"
aria-hidden="true"
/>
)}
</button>
</div>
</>
);
}

82
src/frontend/src/modals/chatModal/chatMessage/index.tsx Normal file
View file

@ -0,0 +1,82 @@
import { ChatBubbleOvalLeftEllipsisIcon } from "@heroicons/react/24/outline";
import { useState } from "react";
import { ChatMessageType } from "../../../types/chat";
import { classNames } from "../../../utils";
import AiIcon from "../../../assets/Gooey Ring-5s-271px.svg";
import { UserIcon } from "@heroicons/react/24/solid";
import FileCard from "../fileComponent";
var Convert = require("ansi-to-html");
var convert = new Convert({ newline: true });
export default function ChatMessage({ chat }: { chat: ChatMessageType }) {
const [hidden, setHidden] = useState(true);
return (
<div
className={classNames(
"w-full py-2 pl-2 flex",
chat.isSend ? "bg-white dark:bg-gray-800 " : "bg-gray-200 dark:bg-gray-700"
)}
>
<div
className={classNames(
"rounded-full w-8 h-8 flex items-center my-3 justify-center",
chat.isSend ? "bg-gray-900" : "bg-gray-200"
)}
>
{!chat.isSend && <img className="scale-150" src={AiIcon} />}
{chat.isSend && <UserIcon className="w-6 h-6 -mb-1 text-gray-200" />}
</div>
{!chat.isSend ? (
<div className="w-full text-start flex items-center">
<div className="w-full relative text-start inline-block text-gray-600 text-sm font-normal">
{hidden && chat.thought && chat.thought !== "" && (
<div
onClick={() => setHidden((prev) => !prev)}
className="absolute -top-1 -left-2 cursor-pointer"
>
<ChatBubbleOvalLeftEllipsisIcon className="w-5 h-5 animate-bounce dark:text-white" />
</div>
)}
{chat.thought && chat.thought !== "" && !hidden && (
<div
onClick={() => setHidden((prev) => !prev)}
className=" text-start inline-block rounded-md h-full border border-gray-300
bg-gray-100 w-[95%] pb-3 pt-3 px-2 ml-3 cursor-pointer scrollbar-hide overflow-scroll"
dangerouslySetInnerHTML={{
__html: convert.toHtml(chat.thought),
}}
></div>
)}
{chat.thought && chat.thought !== "" && !hidden && <br></br>}
<div className="w-full px-4 pb-3 pt-3 pr-8">
<span className="dark:text-white">
{chat.message}
{chat.files && (
<div className="my-2 w-full">
{chat.files.map((file, index) => {
return (
<div key={index} className="my-2 w-full">
<FileCard
fileName={"Generated File"}
fileType={file.data_type}
content={file.data}
/>
</div>
);
})}
</div>
)}
</span>
</div>
</div>
</div>
) : (
<div className="w-full flex items-center">
<div className="text-start inline-block px-3 text-sm text-gray-600 dark:text-white">
{chat.message}
</div>
</div>
)}
</div>
);
}

36
src/frontend/src/modals/chatModal/fileComponent/index.tsx Normal file
View file

@ -0,0 +1,36 @@
import { CloudArrowDownIcon, DocumentIcon } from "@heroicons/react/24/outline";
import * as base64js from 'base64-js';
export default function FileCard({ fileName, content, fileType }) {
const handleDownload = () => {
const byteArray = new Uint8Array(base64js.toByteArray(content));
const blob = new Blob([byteArray], { type: 'application/octet-stream' });
const url = URL.createObjectURL(blob);
const link = document.createElement('a');
link.href = url;
link.download = fileName+".png";
document.body.appendChild(link);
link.click();
document.body.removeChild(link);
URL.revokeObjectURL(url);
};
return (
<button
onClick={handleDownload}
className="bg-gray-100 shadow rounded w-1/2 text-gray-700 hover:drop-shadow-lg px-2 py-2 flex justify-between items-center border border-gray-300"
>
<div className="flex gap-2 text-current items-center w-full mr-2">
{" "}
<DocumentIcon className="w-8 h-8" />
<div className="flex flex-col items-start">
{" "}
<div className="truncate text-sm text-current">{fileName}</div>
<div className="truncate text-xs text-gray-500">{fileType}</div>
</div>
<CloudArrowDownIcon className="w-6 h-6 text-current ml-auto" />
</div>
</button>
);
}

373
src/frontend/src/modals/chatModal/index.tsx Normal file
View file

@ -0,0 +1,373 @@
import { Dialog, Transition } from "@headlessui/react";
import {
ChatBubbleOvalLeftEllipsisIcon,
LockClosedIcon,
PaperAirplaneIcon,
} from "@heroicons/react/24/outline";
import { Fragment, useContext, useEffect, useRef, useState } from "react";
import { PopUpContext } from "../../contexts/popUpContext";
import { FlowType, NodeType } from "../../types/flow";
import { TabsContext } from "../../contexts/tabsContext";
import { alertContext } from "../../contexts/alertContext";
import { classNames, snakeToNormalCase } from "../../utils";
import { typesContext } from "../../contexts/typesContext";
import ChatMessage from "./chatMessage";
import { FaEraser } from "react-icons/fa";
import { sendAllProps } from "../../types/api";
import { ChatMessageType, ChatType } from "../../types/chat";
import ChatInput from "./chatInput";
const _ = require("lodash");
export default function ChatModal({
flow,
open,
setOpen,
}: {
open: boolean;
setOpen: Function;
flow: FlowType;
}) {
const [chatValue, setChatValue] = useState("");
const [chatHistory, setChatHistory] = useState<ChatMessageType[]>([]);
const { reactFlowInstance } = useContext(typesContext);
const { setErrorData, setNoticeData } = useContext(alertContext);
const [ws, setWs] = useState<WebSocket | null>(null);
const [lockChat, setLockChat] = useState(false);
const addChatHistory = (
message: string,
isSend: boolean,
thought?: string,
files?: Array<any>
) => {
setChatHistory((old) => {
let newChat = _.cloneDeep(old);
if (files) {
newChat.push({ message, isSend, files, thought });
} else if (thought) {
newChat.push({ message, isSend, thought });
} else {
newChat.push({ message, isSend });
}
return newChat;
});
};
function connectWS() {
console.log("conectou");
try {
const urlWs =
process.env.NODE_ENV === "development"
? `ws://localhost:7860/chat/${flow.id}`
: `wss://${window.location.host}/chat/${flow.id}`;
const newWs = new WebSocket(urlWs);
newWs.onopen = () => {
console.log("WebSocket connection established!");
};
newWs.onmessage = (event) => {
try {
setLockChat(false);
const data = JSON.parse(event.data);
console.log("Received data:", data);
//get chat history
if (Array.isArray(data)) {
console.log(data);
setChatHistory((_) => {
let newChatHistory: ChatMessageType[] = [];
data.forEach(
(chatItem: {
intermediate_steps?: "string";
is_bot: boolean;
message: string;
type: string;
files?: Array<any>;
}) => {
if (chatItem.message) {
newChatHistory.push(
chatItem.files
? {
isSend: !chatItem.is_bot,
message: chatItem.message,
thought: chatItem.intermediate_steps,
files: chatItem.files,
}
: {
isSend: !chatItem.is_bot,
message: chatItem.message,
thought: chatItem.intermediate_steps,
}
);
}
}
);
return newChatHistory;
});
}
if (data.type === "end") {
if (data.files) {
addChatHistory(
data.message,
false,
data.intermediate_steps,
data.files
);
} else {
addChatHistory(data.message, false, data.intermediate_steps);
}
}
if (data.type == "file") {
console.log(data);
}
} catch (error) {
if (event.data !== "Error: 1005") {
setErrorData({ title: event.data });
newWs.close();
connectWS();
}
}
};
newWs.onclose = (_) => {
if (open) {
setLockChat(false);
setTimeout(() => {
connectWS();
}, 1000);
}
};
newWs.onerror = (ev) => {
console.log(ev, "error");
};
setWs(newWs);
return newWs;
} catch {
setErrorData({
title: "There was an error on web connection, please: ",
list: [
"refresh the page",
"use a new flow tab",
"check if the backend is up",
],
});
}
}
useEffect(() => {
if (ws && (ws.readyState === ws.CLOSED || ws.readyState === ws.CLOSING)) {
let newWs = connectWS();
return () => {
console.log("trigger");
newWs.close();
};
}
}, [lockChat]);
useEffect(() => {
let newWs = connectWS();
return () => {
console.log("trigger");
newWs.close();
};
}, []);
async function sendAll(data: sendAllProps) {
try {
if (ws) {
ws.send(JSON.stringify(data));
}
} catch (error) {
setErrorData({
title: "There was an erro sending the message",
list: [error.message],
});
setChatValue(data.message);
connectWS();
}
}
useEffect(() => {
if (ref.current) ref.current.scrollIntoView({ behavior: "smooth" });
}, [chatHistory]);
useEffect(() => {
if (ws && ws.readyState === ws.CLOSED) {
setLockChat(false);
}
}, [lockChat]);
function validateNode(n: NodeType): Array<string> {
if (!n.data?.node?.template || !Object.keys(n.data.node.template)) {
setNoticeData({
title:
"We've noticed a potential issue with a node in the flow. Please review it and, if necessary, submit a bug report with your exported flow file. Thank you for your help!",
});
return [];
}
const {
type,
node: { template },
} = n.data;
return Object.keys(template).reduce(
(errors: Array<string>, t) =>
errors.concat(
template[t].required &&
template[t].show &&
(!template[t].value || template[t].value === "") &&
!reactFlowInstance
.getEdges()
.some(
(e) =>
e.targetHandle.split("|")[1] === t &&
e.targetHandle.split("|")[2] === n.id
)
? [
`${type} is missing ${
template.display_name
? template.display_name
: snakeToNormalCase(template[t].name)
}.`,
]
: []
),
[] as string[]
);
}
function validateNodes() {
return reactFlowInstance
.getNodes()
.flatMap((n: NodeType) => validateNode(n));
}
const ref = useRef(null);
function sendMessage() {
if (chatValue !== "") {
let nodeValidationErrors = validateNodes();
if (nodeValidationErrors.length === 0) {
setLockChat(true);
let message = chatValue;
setChatValue("");
addChatHistory(message, true);
sendAll({
...reactFlowInstance.toObject(),
message,
chatHistory,
name: flow.name,
description: flow.description,
});
} else {
setErrorData({
title: "Oops! Looks like you missed some required information:",
list: nodeValidationErrors,
});
}
} else {
setErrorData({
title: "Error sending message",
list: ["The message cannot be empty."],
});
}
}
function clearChat() {
setChatHistory([]);
ws.send(JSON.stringify({ clear_history: true }));
}
const { closePopUp } = useContext(PopUpContext);
function setModalOpen(x: boolean) {
setOpen(x);
if (x === false) {
setTimeout(() => {
closePopUp();
}, 300);
}
}
return (
<Transition.Root show={open} appear={true} as={Fragment}>
<Dialog
as="div"
className="relative z-10"
onClose={setModalOpen}
initialFocus={ref}
>
<Transition.Child
as={Fragment}
enter="ease-out duration-300"
enterFrom="opacity-0"
enterTo="opacity-100"
leave="ease-in duration-200"
leaveFrom="opacity-100"
leaveTo="opacity-0"
>
<div className="fixed inset-0 bg-black backdrop-blur-sm dark:bg-gray-600 dark:bg-opacity-80 bg-opacity-80 transition-opacity" />
</Transition.Child>
<div className="fixed inset-0 z-10 overflow-y-auto">
<div className="flex h-full items-end justify-center p-4 text-center sm:items-center sm:p-0">
<Transition.Child
as={Fragment}
enter="ease-out duration-300"
enterFrom="opacity-0 translate-y-4 sm:translate-y-0 sm:scale-95"
enterTo="opacity-100 translate-y-0 sm:scale-100"
leave="ease-in duration-200"
leaveFrom="opacity-100 translate-y-0 sm:scale-100"
leaveTo="opacity-0 translate-y-4 sm:translate-y-0 sm:scale-95"
>
<Dialog.Panel className=" drop-shadow-2xl relative flex flex-col justify-between transform h-[95%] overflow-hidden rounded-lg bg-white dark:bg-gray-800 text-left shadow-xl transition-all sm:my-8 w-[690px]">
<div className="relative w-full">
<button
onClick={() => clearChat()}
className="absolute top-2 right-2 hover:text-red-500"
>
<FaEraser className="w-4 h-4" />
</button>
</div>
<div className="w-full h-full bg-white dark:bg-gray-800 border-t dark:border-t-gray-600 flex-col flex items-center overflow-scroll scrollbar-hide">
{chatHistory.length > 0 ? (
chatHistory.map((c, i) => <ChatMessage chat={c} key={i} />)
) : (
<div className="flex flex-col h-full text-center justify-center w-full items-center align-middle ">
<span>
👋{" "}
<span className="text-gray-600 text-lg">
LangFlow Chat
</span>
</span>
<br />
<div className="bg-gray-100 rounded-md w-2/4 px-6 py-8 border border-gray-200">
<span className="text-base text-gray-500">
Start a conversation and click the agent’s thoughts{" "}
<span>
<ChatBubbleOvalLeftEllipsisIcon className="w-6 h-6 inline animate-bounce " />
</span>{" "}
to inspect the chaining process.
</span>
</div>
</div>
)}
<div ref={ref}></div>
</div>
<div className="w-full bg-white dark:bg-gray-800 border-t dark:border-t-gray-600 flex-col flex items-center justify-between p-3">
<div className="relative w-full mt-1 rounded-md shadow-sm">
<ChatInput
chatValue={chatValue}
lockChat={lockChat}
sendMessage={sendMessage}
setChatValue={setChatValue}
/>
</div>
</div>
</Dialog.Panel>
</Transition.Child>
</div>
</div>
</Dialog>
</Transition.Root>
);
}

28
src/frontend/src/modals/exportModal/index.tsx
View file

@ -15,7 +15,7 @@ export default function ExportModal() {
const [open, setOpen] = useState(true); const [open, setOpen] = useState(true);
const { closePopUp } = useContext(PopUpContext); const { closePopUp } = useContext(PopUpContext);
const ref = useRef(); const ref = useRef();
const {setErrorData}= useContext(alertContext) const { setErrorData } = useContext(alertContext);
const { flows, tabIndex, updateFlow, downloadFlow } = useContext(TabsContext); const { flows, tabIndex, updateFlow, downloadFlow } = useContext(TabsContext);
function setModalOpen(x: boolean) { function setModalOpen(x: boolean) {
setOpen(x); setOpen(x);
@ -25,8 +25,8 @@ export default function ExportModal() {
}, 300); }, 300);
} }
} }
const [checked,setChecked] = useState(true) const [checked, setChecked] = useState(true);
const [name,setName] = useState(flows[tabIndex].name) const [name, setName] = useState(flows[tabIndex].name);
return ( return (
<Transition.Root show={open} appear={true} as={Fragment}> <Transition.Root show={open} appear={true} as={Fragment}>
<Dialog <Dialog
@ -101,11 +101,10 @@ export default function ExportModal() {
if (event.target.value != "") { if (event.target.value != "") {
let newFlow = flows[tabIndex]; let newFlow = flows[tabIndex];
newFlow.name = event.target.value; newFlow.name = event.target.value;
setName(event.target.value) setName(event.target.value);
updateFlow(newFlow); updateFlow(newFlow);
} } else {
else{ setName(event.target.value);
setName(event.target.value)
} }
}} }}
type="text" type="text"
@ -113,7 +112,7 @@ export default function ExportModal() {
value={name ?? null} value={name ?? null}
placeholder="File name" placeholder="File name"
id="name" id="name"
className="focus:border focus:border-blue block w-full px-3 py-2 border-gray-300 rounded-md shadow-sm focus:outline-none focus:ring-blue-500 focus:border-blue-500 dark:bg-gray-800 dark:border-gray-600 dark:focus:border-blue-500 dark:focus:ring-blue-500" className="focus:border focus:border-blue block w-full px-3 py-2 border-gray-300 rounded-md shadow-sm focus:outline-none focus:ring-blue-500 focus:border-blue-500 dark:bg-gray-800 dark:border-gray-600 dark:focus:border-blue-500 dark:focus:ring-blue-500 text-gray-900 dark:text-gray-100"
/> />
</div> </div>
<div className="w-full"> <div className="w-full">
@ -121,7 +120,11 @@ export default function ExportModal() {
htmlFor="description" htmlFor="description"
className="block mb-2 font-medium text-gray-700 dark:text-white" className="block mb-2 font-medium text-gray-700 dark:text-white"
> >
Description <span className="text-gray-400 text-sm"> (optional)</span> Description{" "}
<span className="text-gray-400 text-sm">
{" "}
(optional)
</span>
</label> </label>
<textarea <textarea
name="description" name="description"
@ -134,14 +137,15 @@ export default function ExportModal() {
value={flows[tabIndex].description ?? null} value={flows[tabIndex].description ?? null}
placeholder="Flow description" placeholder="Flow description"
rows={3} rows={3}
className=" focus:border focus:border-blue block w-full px-3 py-2 border-gray-300 rounded-md shadow-sm focus:outline-none focus:ring-blue-500 focus:border-blue-500 dark:bg-gray-800 dark:border-gray-600 dark:focus:border-blue-500 dark:focus:ring-blue-500" className=" focus:border focus:border-blue block w-full px-3 py-2 border-gray-300 text-gray-900 dark:text-gray-100 rounded-md shadow-sm focus:outline-none focus:ring-blue-500 focus:border-blue-500 dark:bg-gray-800 dark:border-gray-600 dark:focus:border-blue-500 dark:focus:ring-blue-500"
></textarea> ></textarea>
</div> </div>
<div> <div>
<label htmlFor="checkbox" className="flex items-center"> <label htmlFor="checkbox" className="flex items-center">
<input <input
onChange={(event) => { onChange={(event) => {
setChecked(event.target.checked) setChecked(event.target.checked);
}} }}
checked={checked} checked={checked}
id="checkbox" id="checkbox"
@ -157,7 +161,7 @@ export default function ExportModal() {
<button <button
onClick={() => { onClick={() => {
if (checked) downloadFlow(flows[tabIndex]); if (checked) downloadFlow(flows[tabIndex]);
else downloadFlow(removeApiKeys(flows[tabIndex])) else downloadFlow(removeApiKeys(flows[tabIndex]));
}} }}
className="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded" className="bg-blue-500 hover:bg-blue-700 text-white font-bold py-2 px-4 rounded"
> >

4
src/frontend/src/pages/FlowPage/components/extraSidebarComponent/index.tsx
View file

@ -22,7 +22,7 @@ export default function ExtraSidebar() {
return ( return (
<div className="mt-1 w-full"> <div className="mt-1 w-full">
{Object.keys(data).map((d: keyof APIObjectType, i) => ( {Object.keys(data).sort().map((d: keyof APIObjectType, i) => (
<DisclosureComponent <DisclosureComponent
key={i} key={i}
button={{ button={{
@ -31,7 +31,7 @@ export default function ExtraSidebar() {
}} }}
> >
<div className="p-2 flex flex-col gap-2"> <div className="p-2 flex flex-col gap-2">
{Object.keys(data[d]).map((t: string, k) => ( {Object.keys(data[d]).sort().map((t: string, k) => (
<div key={k}> <div key={k}>
<div <div
draggable draggable

7
src/frontend/src/pages/FlowPage/components/tabsManagerComponent/index.tsx
View file

@ -56,12 +56,7 @@ export default function TabsManagerComponent() {
/> />
<div className="ml-auto mr-2 flex gap-3"> <div className="ml-auto mr-2 flex gap-3">
<button <button
onClick={() => onClick={() => openPopUp(<ImportModal />)}
openPopUp(
<ImportModal
/>
)
}
className="flex items-center gap-1 pr-2 border-gray-400 border-r text-sm text-gray-600 hover:text-gray-500" className="flex items-center gap-1 pr-2 border-gray-400 border-r text-sm text-gray-600 hover:text-gray-500"
> >
Import <ArrowUpTrayIcon className="w-5 h-5" /> Import <ArrowUpTrayIcon className="w-5 h-5" />

23
src/frontend/src/pages/FlowPage/index.tsx
View file

@ -45,7 +45,7 @@ export default function FlowPage({ flow }:{flow:FlowType}) {
flow.data?.edges ?? [] flow.data?.edges ?? []
); );
const { setViewport } = useReactFlow(); const { setViewport } = useReactFlow();
const edgeUpdateSuccessful = useRef(true) const edgeUpdateSuccessful = useRef(true);
useEffect(() => { useEffect(() => {
if (reactFlowInstance && flow) { if (reactFlowInstance && flow) {
@ -110,7 +110,9 @@ export default function FlowPage({ flow }:{flow:FlowType}) {
const reactflowBounds = reactFlowWrapper.current.getBoundingClientRect(); const reactflowBounds = reactFlowWrapper.current.getBoundingClientRect();
// Extract the data from the drag event and parse it as a JSON object // Extract the data from the drag event and parse it as a JSON object
let data:{type:string,node?:APIClassType} = JSON.parse(event.dataTransfer.getData("json")); let data: { type: string; node?: APIClassType } = JSON.parse(
event.dataTransfer.getData("json")
);
// If data type is not "chatInput" or if there are no "chatInputNode" nodes present in the ReactFlow instance, create a new node // If data type is not "chatInput" or if there are no "chatInputNode" nodes present in the ReactFlow instance, create a new node
if ( if (
@ -153,22 +155,27 @@ export default function FlowPage({ flow }:{flow:FlowType}) {
[incrementNodeId, reactFlowInstance, setErrorData, setNodes] [incrementNodeId, reactFlowInstance, setErrorData, setNodes]
); );
const onDelete = (mynodes) => { const onDelete = (mynodes) => {
setEdges(edges.filter((ns) => !nodes.some((n) => ns.source === n.id || ns.target === n.id))); setEdges(
} edges.filter(
(ns) => !nodes.some((n) => ns.source === n.id || ns.target === n.id)
)
);
};
const onEdgeUpdateStart = useCallback(() => { const onEdgeUpdateStart = useCallback(() => {
edgeUpdateSuccessful.current = false; edgeUpdateSuccessful.current = false;
}, []); }, []);
const onEdgeUpdate = useCallback(
const onEdgeUpdate = useCallback((oldEdge:Edge, newConnection:Connection) => { (oldEdge: Edge, newConnection: Connection) => {
if (isValidConnection(newConnection, reactFlowInstance)) { if (isValidConnection(newConnection, reactFlowInstance)) {
edgeUpdateSuccessful.current = true; edgeUpdateSuccessful.current = true;
setEdges((els) => updateEdge(oldEdge, newConnection, els)); setEdges((els) => updateEdge(oldEdge, newConnection, els));
} }
}, []); },
[]
);
const onEdgeUpdateEnd = useCallback((_, edge) => { const onEdgeUpdateEnd = useCallback((_, edge) => {
if (!edgeUpdateSuccessful.current) { if (!edgeUpdateSuccessful.current) {

4
src/frontend/src/reportWebVitals.ts
View file

@ -1,8 +1,8 @@
import { ReportHandler } from 'web-vitals'; import { ReportHandler } from "web-vitals";
const reportWebVitals = (onPerfEntry?: ReportHandler) => { const reportWebVitals = (onPerfEntry?: ReportHandler) => {
if (onPerfEntry && onPerfEntry instanceof Function) { if (onPerfEntry && onPerfEntry instanceof Function) {
import('web-vitals').then(({ getCLS, getFID, getFCP, getLCP, getTTFB }) => { import("web-vitals").then(({ getCLS, getFID, getFCP, getLCP, getTTFB }) => {
getCLS(onPerfEntry); getCLS(onPerfEntry);
getFID(onPerfEntry); getFID(onPerfEntry);
getFCP(onPerfEntry); getFCP(onPerfEntry);

4
src/frontend/src/svg.d.ts vendored Normal file
View file

@ -0,0 +1,4 @@
declare module "*.svg" {
const content: any;
export default content;
}

25
src/frontend/src/types/alerts/index.ts
View file

@ -1,7 +1,24 @@
export type ErrorAlertType = {title:string,list:Array<string>,id:string,removeAlert:(id:string)=>void} export type ErrorAlertType = {
export type NoticeAlertType = {title:string,link:string,id:string,removeAlert:(id:string)=>void} title: string;
export type SuccessAlertType = {title:string,id:string, removeAlert:(id:string)=>void} list: Array<string>;
export type SingleAlertComponentType = {dropItem:AlertItemType,removeAlert:(index:string)=>void} id: string;
removeAlert: (id: string) => void;
};
export type NoticeAlertType = {
title: string;
link: string;
id: string;
removeAlert: (id: string) => void;
};
export type SuccessAlertType = {
title: string;
id: string;
removeAlert: (id: string) => void;
};
export type SingleAlertComponentType = {
dropItem: AlertItemType;
removeAlert: (index: string) => void;
};
export type AlertDropdownType = {}; export type AlertDropdownType = {};
export type AlertItemType = { export type AlertItemType = {
type: "notice" | "error" | "success"; type: "notice" | "error" | "success";

40
src/frontend/src/types/api/index.ts
View file

@ -1,20 +1,40 @@
import { Node,Edge,Viewport } from "reactflow" import { Node, Edge, Viewport } from "reactflow";
//kind and class are just representative names to represent the actual structure of the object received by the API //kind and class are just representative names to represent the actual structure of the object received by the API
export type APIObjectType = {kind:APIKindType,[key:string]:APIKindType} export type APIObjectType = { kind: APIKindType; [key: string]: APIKindType };
export type APIKindType= {class:APIClassType,[key:string]:APIClassType} export type APIKindType = { class: APIClassType; [key: string]: APIClassType };
export type APITemplateType = {variable:TemplateVariableType,[key:string]:TemplateVariableType} export type APITemplateType = {
export type APIClassType ={base_classes:Array<string>,description:string,template:APITemplateType,[key:string]:Array<string>|string|APITemplateType} variable: TemplateVariableType;
export type TemplateVariableType = {type:string,required:boolean,placeholder?:string,list:boolean,show:boolean,multiline?:boolean,value?:any,[key:string]:any} [key: string]: TemplateVariableType;
};
export type APIClassType = {
base_classes: Array<string>;
description: string;
template: APITemplateType;
[key: string]: Array<string> | string | APITemplateType;
};
export type TemplateVariableType = {
type: string;
required: boolean;
placeholder?: string;
list: boolean;
show: boolean;
multiline?: boolean;
value?: any;
[key: string]: any;
};
export type sendAllProps = { export type sendAllProps = {
nodes: Node[]; nodes: Node[];
edges: Edge[]; edges: Edge[];
name:string, name: string;
description: string; description: string;
viewport: Viewport; viewport: Viewport;
message: string; message: string;
chatHistory:{message:string,isSend:boolean}[], chatHistory: { message: string; isSend: boolean }[];
}; };
export type errorsTypeAPI={function:{errors:Array<string>},imports:{errors:Array<string>}} export type errorsTypeAPI = {
export type PromptTypeAPI = {input_variables:Array<string>} function: { errors: Array<string> };
imports: { errors: Array<string> };
};
export type PromptTypeAPI = { input_variables: Array<string> };

11
src/frontend/src/types/chat/index.ts
View file

@ -1,5 +1,10 @@
import { ReactFlowInstance } from 'reactflow'; import { ReactFlowInstance } from "reactflow";
import { FlowType } from "../flow"; import { FlowType } from "../flow";
export type ChatType = {flow:FlowType,reactFlowInstance:ReactFlowInstance} export type ChatType = { flow: FlowType; reactFlowInstance: ReactFlowInstance };
export type ChatMessageType = { message: string; isSend: boolean, thought?:string } export type ChatMessageType = {
message: string;
isSend: boolean;
thought?: string;
files?: Array<{ data: string; type: string; data_type: string }>;
};

30
src/frontend/src/types/components/index.ts
View file

@ -66,16 +66,20 @@ export type FloatComponentType = {
onChange: (value: string) => void; onChange: (value: string) => void;
}; };
export type TooltipComponentType={children:ReactElement,title:string,placement?: export type TooltipComponentType = {
| 'bottom-end' children: ReactElement;
| 'bottom-start' title: string;
| 'bottom' placement?:
| 'left-end' | "bottom-end"
| 'left-start' | "bottom-start"
| 'left' | "bottom"
| 'right-end' | "left-end"
| 'right-start' | "left-start"
| 'right' | "left"
| 'top-end' | "right-end"
| 'top-start' | "right-start"
| 'top';} | "right"
| "top-end"
| "top-start"
| "top";
};

7
src/frontend/src/types/entities/index.ts
View file

@ -1,3 +1,8 @@
import { HomeIcon } from "@heroicons/react/24/outline"; import { HomeIcon } from "@heroicons/react/24/outline";
export type sidebarNavigationItemType = { name: string, href: string, icon: React.ForwardRefExoticComponent<React.SVGProps<SVGSVGElement>>, current: boolean } export type sidebarNavigationItemType = {
name: string;
href: string;
icon: React.ForwardRefExoticComponent<React.SVGProps<SVGSVGElement>>;
current: boolean;
};

19
src/frontend/src/types/flow/index.ts
View file

@ -1,13 +1,22 @@
import { ChatMessageType } from './../chat/index'; import { ChatMessageType } from "./../chat/index";
import { APIClassType } from '../api/index'; import { APIClassType } from "../api/index";
import { ReactFlowJsonObject, XYPosition } from "reactflow"; import { ReactFlowJsonObject, XYPosition } from "reactflow";
export type FlowType = { export type FlowType = {
name: string; name: string;
id: string; id: string;
data: ReactFlowJsonObject; data: ReactFlowJsonObject;
chat: Array<ChatMessageType>;
description: string; description: string;
}; };
export type NodeType = {id:string,type:string,position:XYPosition,data:NodeDataType} export type NodeType = {
export type NodeDataType = {type:string,node?:APIClassType,id:string,value:any} id: string;
type?: string;
position: XYPosition;
data: NodeDataType;
};
export type NodeDataType = {
type: string;
node?: APIClassType;
id: string;
value: any;
};

4
src/frontend/src/types/tabs/index.ts
View file

@ -11,9 +11,7 @@ export type TabsContextType = {
incrementNodeId: () => number; incrementNodeId: () => number;
downloadFlow: (flow: FlowType) => void; downloadFlow: (flow: FlowType) => void;
uploadFlow: () => void; uploadFlow: () => void;
lockChat:boolean;
setLockChat:(prevState:boolean)=>void;
hardReset: () => void; hardReset: () => void;
}; };
export type LangFlowState={ tabIndex:number, flows:FlowType[], id:number, nodeId:number } export type LangFlowState={ tabIndex:number, flows:FlowType[], id:string, nodeId:number }

48
src/frontend/src/utils.ts
View file

@ -14,11 +14,11 @@ import {
FingerPrintIcon, FingerPrintIcon,
ScissorsIcon, ScissorsIcon,
CircleStackIcon, CircleStackIcon,
Squares2X2Icon Squares2X2Icon,
} from "@heroicons/react/24/outline"; } from "@heroicons/react/24/outline";
import { Connection, Edge, Node, ReactFlowInstance } from "reactflow"; import { Connection, Edge, Node, ReactFlowInstance } from "reactflow";
import { FlowType } from "./types/flow"; import { FlowType } from "./types/flow";
var _ = require('lodash') var _ = require("lodash");
export function classNames(...classes: Array<string>) { export function classNames(...classes: Array<string>) {
return classes.filter(Boolean).join(" "); return classes.filter(Boolean).join(" ");
@ -78,7 +78,7 @@ export const nodeColors: {[char: string]: string} = {
tools: "#FF3434", tools: "#FF3434",
memories: "#F5B85A", memories: "#F5B85A",
advanced: "#000000", advanced: "#000000",
chat: "#454173", chat: "#198BF6",
thought: "#272541", thought: "#272541",
embeddings: "#42BAA7", embeddings: "#42BAA7",
documentloaders: "#7AAE42", documentloaders: "#7AAE42",
@ -87,7 +87,7 @@ export const nodeColors: {[char: string]: string} = {
toolkits: "#DB2C2C", toolkits: "#DB2C2C",
wrappers: "#E6277A", wrappers: "#E6277A",
utilities: "#31A3CC", utilities: "#31A3CC",
unknown:"#9CA3AF" unknown: "#9CA3AF",
}; };
export const nodeNames: { [char: string]: string } = { export const nodeNames: { [char: string]: string } = {
@ -106,10 +106,14 @@ export const nodeNames:{[char: string]: string} = {
wrappers: "Wrappers", wrappers: "Wrappers",
textsplitters: "Text Splitters", textsplitters: "Text Splitters",
utilities: "Utilities", utilities: "Utilities",
unknown:"Unknown" unknown: "Unknown",
}; };
export const nodeIcons:{[char: string]: React.ForwardRefExoticComponent<React.SVGProps<SVGSVGElement>>} = { export const nodeIcons: {
[char: string]: React.ForwardRefExoticComponent<
React.SVGProps<SVGSVGElement>
>;
} = {
agents: RocketLaunchIcon, agents: RocketLaunchIcon,
chains: LinkIcon, chains: LinkIcon,
memories: CpuChipIcon, memories: CpuChipIcon,
@ -125,7 +129,7 @@ export const nodeIcons:{[char: string]: React.ForwardRefExoticComponent<React.SV
textsplitters: ScissorsIcon, textsplitters: ScissorsIcon,
wrappers: GiftIcon, wrappers: GiftIcon,
utilities: Squares2X2Icon, utilities: Squares2X2Icon,
unknown:QuestionMarkCircleIcon unknown: QuestionMarkCircleIcon,
}; };
export const bgColors = { export const bgColors = {
@ -270,7 +274,11 @@ export function measureTextWidth(text: string, fontSize:number) {
return wordWidth; return wordWidth;
} }
export function measureTextHeight(text: string, width:number, fontSize:number) { export function measureTextHeight(
text: string,
width: number,
fontSize: number
) {
const charHeight = fontSize; const charHeight = fontSize;
const lineHeight = charHeight * 1.5; const lineHeight = charHeight * 1.5;
const words = text.split(" "); const words = text.split(" ");
@ -349,8 +357,11 @@ export function isValidConnection(
reactFlowInstance: ReactFlowInstance reactFlowInstance: ReactFlowInstance
) { ) {
if ( if (
sourceHandle.split('|')[0] === targetHandle.split("|")[0] || sourceHandle.split("|")[0] === targetHandle.split("|")[0] ||
sourceHandle.split('|').slice(2).some((t) => t === targetHandle.split("|")[0]) || sourceHandle
.split("|")
.slice(2)
.some((t) => t === targetHandle.split("|")[0]) ||
targetHandle.split("|")[0] === "str" targetHandle.split("|")[0] === "str"
) { ) {
let targetNode = reactFlowInstance.getNode(target).data.node; let targetNode = reactFlowInstance.getNode(target).data.node;
@ -376,17 +387,16 @@ export function isValidConnection(
} }
export function removeApiKeys(flow: FlowType): FlowType { export function removeApiKeys(flow: FlowType): FlowType {
let cleanFLow = _.cloneDeep(flow) let cleanFLow = _.cloneDeep(flow);
cleanFLow.data.nodes.forEach(node=>{ cleanFLow.data.nodes.forEach((node) => {
for(const key in node.data.node.template) for (const key in node.data.node.template) {
{ if (key.includes("api")) {
if(key.includes('api')){ console.log(node.data.node.template[key]);
console.log(node.data.node.template[key]) node.data.node.template[key].value = "";
node.data.node.template[key].value = ''
} }
} }
}) });
return cleanFLow return cleanFLow;
} }
export function updateObject<T extends Record<string, any>>(reference: T, objectToUpdate: T): T { export function updateObject<T extends Record<string, any>>(reference: T, objectToUpdate: T): T {

71
src/frontend/tailwind.config.js
View file

@ -1,45 +1,78 @@
/** @type {import('tailwindcss').Config} */ /** @type {import('tailwindcss').Config} */
const plugin = require('tailwindcss/plugin') const plugin = require("tailwindcss/plugin");
module.exports = { module.exports = {
content: ["./src/**/*.{js,ts,tsx,jsx}"], content: ["./src/**/*.{js,ts,tsx,jsx}"],
darkMode: 'class', darkMode: "class",
important: true, important: true,
theme: { theme: {
extend: {}, extend: {
borderColor: {
"red-outline": "rgba(255, 0, 0, 0.8)",
"green-outline": "rgba(72, 187, 120, 0.7)",
},
boxShadow: {
"red-outline": "0 0 5px rgba(255, 0, 0, 0.5)",
"green-outline": "0 0 5px rgba(72, 187, 120, 0.7)",
},
animation: {
"pulse-green": "pulseGreen 1s linear",
},
keyframes: {
pulseGreen: {
"0%": { boxShadow: "0 0 0 0 rgba(72, 187, 120, 0.7)" },
"100%": { boxShadow: "0 0 0 10px rgba(72, 187, 120, 0)" },
},
},
},
}, },
plugins: [ plugins: [
require("@tailwindcss/forms")({ require("@tailwindcss/forms")({
strategy: 'class', // only generate classes strategy: "class", // only generate classes
}), }),
plugin(function ({ addUtilities }) { plugin(function ({ addUtilities }) {
addUtilities({ addUtilities({
'.scrollbar-hide': { ".scrollbar-hide": {
/* IE and Edge */ /* IE and Edge */
'-ms-overflow-style': 'none', "-ms-overflow-style": "none",
/* Firefox */ /* Firefox */
'scrollbar-width': 'none', "scrollbar-width": "none",
/* Safari and Chrome */ /* Safari and Chrome */
'&::-webkit-scrollbar': { "&::-webkit-scrollbar": {
display: 'none' display: "none",
}
}, },
'.arrow-hide':{
'&::-webkit-inner-spin-button':{
'-webkit-appearance': 'none',
'margin': 0
}, },
'&::-webkit-outer-spin-button':{ ".arrow-hide": {
'-webkit-appearance': 'none', "&::-webkit-inner-spin-button": {
'margin': 0 "-webkit-appearance": "none",
margin: 0,
},
"&::-webkit-outer-spin-button": {
"-webkit-appearance": "none",
margin: 0,
}, },
}, },
'.password':{ '.password':{
"-webkit-text-security":"disc", "-webkit-text-security":"disc",
"font-family": "text-security-disc" "font-family": "text-security-disc"
},
'.custom-scroll':{
'&::-webkit-scrollbar': {
'width': '8px',
},
'&::-webkit-scrollbar-track': {
'backgroundColor': '#f1f1f1',
},
'&::-webkit-scrollbar-thumb': {
'backgroundColor': '#ccc',
'borderRadius': '999px',
},
'&::-webkit-scrollbar-thumb:hover': {
'backgroundColor': '#bbb'
} }
} }
) })
}),require('@tailwindcss/line-clamp') }),require('@tailwindcss/line-clamp')
], ],
} };

47
tests/conftest.py
View file

@ -1,4 +1,8 @@
import json
from pathlib import Path from pathlib import Path
from typing import AsyncGenerator
from httpx import AsyncClient
import pytest import pytest
from fastapi.testclient import TestClient from fastapi.testclient import TestClient
@ -21,6 +25,15 @@ def get_text():
""" """
@pytest.fixture()
async def async_client() -> AsyncGenerator:
from langflow.main import create_app
app = create_app()
async with AsyncClient(app=app, base_url="http://testserver") as client:
yield client
# Create client fixture for FastAPI # Create client fixture for FastAPI
@pytest.fixture(scope="module") @pytest.fixture(scope="module")
def client(): def client():
@ -30,3 +43,37 @@ def client():
with TestClient(app) as client: with TestClient(app) as client:
yield client yield client
def get_graph(_type="basic"):
"""Get a graph from a json file"""
from langflow.graph.graph import Graph
if _type == "basic":
path = pytest.BASIC_EXAMPLE_PATH
elif _type == "complex":
path = pytest.COMPLEX_EXAMPLE_PATH
elif _type == "openapi":
path = pytest.OPENAPI_EXAMPLE_PATH
with open(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
def basic_graph():
return get_graph()
@pytest.fixture
def complex_graph():
return get_graph("complex")
@pytest.fixture
def openapi_graph():
return get_graph("openapi")

2
tests/test_agents_template.py
View file

@ -130,7 +130,7 @@ def test_initialize_agent(client: TestClient):
agents = json_response["agents"] agents = json_response["agents"]
initialize_agent = agents["initialize_agent"] initialize_agent = agents["initialize_agent"]
assert initialize_agent["base_classes"] == ["AgentExecutor"] assert initialize_agent["base_classes"] == ["AgentExecutor", "function"]
template = initialize_agent["template"] template = initialize_agent["template"]
assert template["agent"] == { assert template["agent"] == {

2
tests/test_cache.py
View file

@ -3,7 +3,7 @@ import tempfile
from pathlib import Path from pathlib import Path
import pytest import pytest
from langflow.cache.utils import PREFIX, save_cache from langflow.cache.base import PREFIX, save_cache
from langflow.interface.run import load_langchain_object from langflow.interface.run import load_langchain_object

81
tests/test_cache_manager.py Normal file
View file

@ -0,0 +1,81 @@
import pytest
from PIL import Image
import pandas as pd
from io import StringIO
from langflow.cache.manager import CacheManager
@pytest.fixture
def cache_manager():
return CacheManager()
def test_cache_manager_attach_detach_notify(cache_manager):
observer_called = False
def observer():
nonlocal observer_called
observer_called = True
cache_manager.attach(observer)
cache_manager.notify()
assert observer_called
observer_called = False
cache_manager.detach(observer)
cache_manager.notify()
assert not observer_called
def test_cache_manager_client_context(cache_manager):
with cache_manager.set_client_id("client1"):
cache_manager.add("foo", "bar", "string")
assert cache_manager.get("foo") == {
"obj": "bar",
"type": "string",
"extension": "str",
}
with cache_manager.set_client_id("client2"):
cache_manager.add("baz", "qux", "string")
assert cache_manager.get("baz") == {
"obj": "qux",
"type": "string",
"extension": "str",
}
with pytest.raises(KeyError):
cache_manager.get("foo")
def test_cache_manager_add_pandas(cache_manager):
df = pd.DataFrame({"col1": [1, 2], "col2": [3, 4]})
with cache_manager.set_client_id("client1"):
cache_manager.add_pandas("test_df", df)
cached_df = cache_manager.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_manager_add_image(cache_manager):
img = Image.new("RGB", (50, 50), color="red")
with cache_manager.set_client_id("client1"):
cache_manager.add_image("test_image", img)
cached_img = cache_manager.get("test_image")
assert cached_img["type"] == "image"
assert cached_img["extension"] == "png"
assert isinstance(cached_img["obj"], Image.Image)
def test_cache_manager_get_last(cache_manager):
with cache_manager.set_client_id("client1"):
cache_manager.add("foo", "bar", "string")
cache_manager.add("baz", "qux", "string")
last_item = cache_manager.get_last()
assert last_item == {"obj": "qux", "type": "string", "extension": "str"}

14
tests/test_chains_template.py
View file

@ -20,7 +20,12 @@ def test_conversation_chain(client: TestClient):
chain = chains["ConversationChain"] chain = chains["ConversationChain"]
# Test the base classes, template, memory, verbose, llm, input_key, output_key, and _type objects # Test the base classes, template, memory, verbose, llm, input_key, output_key, and _type objects
assert set(chain["base_classes"]) == {"LLMChain", "ConversationChain", "Chain"} assert set(chain["base_classes"]) == {
"function",
"LLMChain",
"ConversationChain",
"Chain",
}
template = chain["template"] template = chain["template"]
assert template["memory"] == { assert template["memory"] == {
"required": False, "required": False,
@ -96,7 +101,7 @@ def test_llm_chain(client: TestClient):
chain = chains["LLMChain"] chain = chains["LLMChain"]
# Test the base classes, template, memory, verbose, llm, input_key, output_key, and _type objects # Test the base classes, template, memory, verbose, llm, input_key, output_key, and _type objects
assert set(chain["base_classes"]) == {"LLMChain", "Chain"} assert set(chain["base_classes"]) == {"function", "LLMChain", "Chain"}
template = chain["template"] template = chain["template"]
assert template["memory"] == { assert template["memory"] == {
"required": False, "required": False,
@ -154,7 +159,7 @@ def test_llm_checker_chain(client: TestClient):
chain = chains["LLMCheckerChain"] chain = chains["LLMCheckerChain"]
# Test the base classes, template, memory, verbose, llm, input_key, output_key, and _type objects # Test the base classes, template, memory, verbose, llm, input_key, output_key, and _type objects
assert set(chain["base_classes"]) == {"LLMCheckerChain", "Chain"} assert set(chain["base_classes"]) == {"function", "LLMCheckerChain", "Chain"}
template = chain["template"] template = chain["template"]
assert template["memory"] == { assert template["memory"] == {
"required": False, "required": False,
@ -231,7 +236,7 @@ def test_llm_math_chain(client: TestClient):
chain = chains["LLMMathChain"] chain = chains["LLMMathChain"]
# Test the base classes, template, memory, verbose, llm, input_key, output_key, and _type objects # Test the base classes, template, memory, verbose, llm, input_key, output_key, and _type objects
assert set(chain["base_classes"]) == {"LLMMathChain", "Chain"} assert set(chain["base_classes"]) == {"function", "LLMMathChain", "Chain"}
template = chain["template"] template = chain["template"]
assert template["memory"] == { assert template["memory"] == {
"required": False, "required": False,
@ -310,6 +315,7 @@ def test_series_character_chain(client: TestClient):
# Test the base classes, template, memory, verbose, llm, input_key, output_key, and _type objects # Test the base classes, template, memory, verbose, llm, input_key, output_key, and _type objects
assert set(chain["base_classes"]) == { assert set(chain["base_classes"]) == {
"function",
"LLMChain", "LLMChain",
"BaseCustomChain", "BaseCustomChain",
"Chain", "Chain",

37
tests/test_graph.py
View file

@ -1,4 +1,3 @@
import json
from typing import Type, Union from typing import Type, Union
import pytest import pytest
@ -15,7 +14,7 @@ from langflow.graph.nodes import (
ToolNode, ToolNode,
WrapperNode, WrapperNode,
) )
from langflow.interface.run import get_result_and_thought_using_graph from langflow.interface.run import get_result_and_steps
from langflow.utils.payload import build_json, get_root_node from langflow.utils.payload import build_json, get_root_node
# Test cases for the graph module # Test cases for the graph module
@ -24,38 +23,6 @@ from langflow.utils.payload import build_json, get_root_node
# BASIC_EXAMPLE_PATH, COMPLEX_EXAMPLE_PATH, OPENAPI_EXAMPLE_PATH # BASIC_EXAMPLE_PATH, COMPLEX_EXAMPLE_PATH, OPENAPI_EXAMPLE_PATH
def get_graph(_type="basic"):
"""Get a graph from a json file"""
if _type == "basic":
path = pytest.BASIC_EXAMPLE_PATH
elif _type == "complex":
path = pytest.COMPLEX_EXAMPLE_PATH
elif _type == "openapi":
path = pytest.OPENAPI_EXAMPLE_PATH
with open(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
def basic_graph():
return get_graph()
@pytest.fixture
def complex_graph():
return get_graph("complex")
@pytest.fixture
def openapi_graph():
return get_graph("openapi")
def get_node_by_type(graph, node_type: Type[Node]) -> Union[Node, None]: def get_node_by_type(graph, node_type: Type[Node]) -> Union[Node, None]:
"""Get a node by type""" """Get a node by type"""
return next((node for node in graph.nodes if isinstance(node, node_type)), None) return next((node for node in graph.nodes if isinstance(node, node_type)), None)
@ -441,7 +408,7 @@ def test_get_result_and_thought(basic_graph):
# now build again and check if FakeListLLM was used # now build again and check if FakeListLLM was used
# Get the result and thought # Get the result and thought
result, thought = get_result_and_thought_using_graph(langchain_object, message) result, thought = get_result_and_steps(langchain_object, message)
# The result should be a str # The result should be a str
assert isinstance(result, str) assert isinstance(result, str)
# The thought should be a Thought # The thought should be a Thought

46
tests/test_websocket.py Normal file
View file

@ -0,0 +1,46 @@
import json
from unittest.mock import patch
from fastapi.testclient import TestClient
def test_websocket_connection(client: TestClient):
with client.websocket_connect("/chat/test_client") as websocket:
assert websocket.scope["client"] == ["testclient", 50000]
assert websocket.scope["path"] == "/chat/test_client"
def test_chat_history(client: TestClient):
# Mock the process_graph function to return a specific value
with patch("langflow.api.chat_manager.process_graph") as mock_process_graph:
mock_process_graph.return_value = ("Hello, I'm a mock response!", "")
with client.websocket_connect("/chat/test_client") as websocket:
# First message should be the history
history = websocket.receive_json()
assert history == [] # Empty history
# Send a message
payload = {"message": "Hello"}
websocket.send_json(json.dumps(payload))
# Receive the response from the server
response = websocket.receive_json()
assert response == {
"is_bot": True,
"message": None,
"type": "start",
"intermediate_steps": "",
"files": [],
}
# Send another message
payload = {"message": "How are you?"}
websocket.send_json(json.dumps(payload))
# Receive the response from the server
response = websocket.receive_json()
assert response == {
"is_bot": True,
"message": "Hello, I'm a mock response!",
"type": "end",
"intermediate_steps": "",
"files": [],
}