Merge branch 'chat_and_cache' into 186-endpoints-for-node-validation-and-debugging
This commit is contained in:
Gabriel Luiz Freitas Almeida
GitHub
commit
5dbca85512
55 changed files with 1736 additions and 606 deletions
2
Makefile
2
Makefile
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@ -27,7 +27,7 @@ run_frontend:
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cd src/frontend && npm start
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run_backend:
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poetry run uvicorn langflow.main:app --port 5003 --reload
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poetry run uvicorn langflow.main:app --port 5003 --reload --log-level debug
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build_frontend:
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cd src/frontend && CI='' npm run build
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@ -1,11 +0,0 @@
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#! /bin/bash
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cd src/frontend
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docker build -t logspace/frontend_build -f build.Dockerfile .
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cd ../backend
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docker build -t logspace/backend_build -f build.Dockerfile .
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cd ../../
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VERSION=$(toml get --toml-path pyproject.toml tool.poetry.version)
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docker build --build-arg VERSION=$VERSION -t ibiscp/langflow:$VERSION .
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docker push ibiscp/langflow:$VERSION
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6
package-lock.json
generated
Normal file
6
package-lock.json
generated
Normal file
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@ -0,0 +1,6 @@
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{
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"name": "reactFlow",
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"lockfileVersion": 3,
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"requires": true,
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"packages": {}
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}
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161
poetry.lock
generated
161
poetry.lock
generated
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@ -1,4 +1,4 @@
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# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand.
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# This file is automatically @generated by Poetry and should not be changed by hand.
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[[package]]
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name = "aiohttp"
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@ -3837,7 +3837,7 @@ files = [
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]
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[package.dependencies]
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greenlet = {version = "!=0.4.17", markers = "python_version >= \"3\" and platform_machine == \"aarch64\" or python_version >= \"3\" and platform_machine == \"ppc64le\" or python_version >= \"3\" and platform_machine == \"x86_64\" or python_version >= \"3\" and platform_machine == \"amd64\" or python_version >= \"3\" and platform_machine == \"AMD64\" or python_version >= \"3\" and platform_machine == \"win32\" or python_version >= \"3\" and platform_machine == \"WIN32\""}
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greenlet = {version = "!=0.4.17", markers = "python_version >= \"3\" and (platform_machine == \"aarch64\" or platform_machine == \"ppc64le\" or platform_machine == \"x86_64\" or platform_machine == \"amd64\" or platform_machine == \"AMD64\" or platform_machine == \"win32\" or platform_machine == \"WIN32\")"}
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[package.extras]
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aiomysql = ["aiomysql", "greenlet (!=0.4.17)"]
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@ -4016,6 +4016,10 @@ category = "main"
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optional = false
|
||||
python-versions = ">=3.8.0"
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||||
files = [
|
||||
{file = "torch-2.0.0-1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:c9090bda7d2eeeecd74f51b721420dbeb44f838d4536cc1b284e879417e3064a"},
|
||||
{file = "torch-2.0.0-1-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:bd42db2a48a20574d2c33489e120e9f32789c4dc13c514b0c44272972d14a2d7"},
|
||||
{file = "torch-2.0.0-1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:8969aa8375bcbc0c2993e7ede0a7f889df9515f18b9b548433f412affed478d9"},
|
||||
{file = "torch-2.0.0-1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:ab2da16567cb55b67ae39e32d520d68ec736191d88ac79526ca5874754c32203"},
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{file = "torch-2.0.0-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:7a9319a67294ef02459a19738bbfa8727bb5307b822dadd708bc2ccf6c901aca"},
|
||||
{file = "torch-2.0.0-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:9f01fe1f6263f31bd04e1757946fd63ad531ae37f28bb2dbf66f5c826ee089f4"},
|
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{file = "torch-2.0.0-cp310-cp310-win_amd64.whl", hash = "sha256:527f4ae68df7b8301ee6b1158ca56350282ea633686537b30dbb5d7b4a52622a"},
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||||
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@ -4233,6 +4237,15 @@ category = "main"
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|||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
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|
||||
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|
||||
{file = "triton-2.0.0-1-cp37-cp37m-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:d2684b6a60b9f174f447f36f933e9a45f31db96cb723723ecd2dcfd1c57b778b"},
|
||||
{file = "triton-2.0.0-1-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:9d4978298b74fcf59a75fe71e535c092b023088933b2f1df933ec32615e4beef"},
|
||||
{file = "triton-2.0.0-1-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:74f118c12b437fb2ca25e1a04759173b517582fcf4c7be11913316c764213656"},
|
||||
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|
||||
{file = "triton-2.0.0-1-pp38-pypy38_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1aca3303629cd3136375b82cb9921727f804e47ebee27b2677fef23005c3851a"},
|
||||
{file = "triton-2.0.0-1-pp39-pypy39_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:e3e13aa8b527c9b642e3a9defcc0fbd8ffbe1c80d8ac8c15a01692478dc64d8a"},
|
||||
{file = "triton-2.0.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f05a7e64e4ca0565535e3d5d3405d7e49f9d308505bb7773d21fb26a4c008c2"},
|
||||
{file = "triton-2.0.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bb4b99ca3c6844066e516658541d876c28a5f6e3a852286bbc97ad57134827fd"},
|
||||
{file = "triton-2.0.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:47b4d70dc92fb40af553b4460492c31dc7d3a114a979ffb7a5cdedb7eb546c08"},
|
||||
|
|
@ -4530,82 +4543,82 @@ files = [
|
|||
|
||||
[[package]]
|
||||
name = "websockets"
|
||||
version = "11.0.1"
|
||||
version = "11.0.2"
|
||||
description = "An implementation of the WebSocket Protocol (RFC 6455 & 7692)"
|
||||
category = "main"
|
||||
optional = false
|
||||
python-versions = ">=3.7"
|
||||
files = [
|
||||
{file = "websockets-11.0.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:3d30cc1a90bcbf9e22e1f667c1c5a7428e2d37362288b4ebfd5118eb0b11afa9"},
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||||
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|
||||
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||||
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||||
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|
||||
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|
||||
{file = "websockets-11.0.2-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:518ed6782d9916c5721ebd61bb7651d244178b74399028302c8617d0620af291"},
|
||||
{file = "websockets-11.0.2-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:58477b041099bb504e1a5ddd8aa86302ed1d5c6995bdd3db2b3084ef0135d277"},
|
||||
{file = "websockets-11.0.2-py3-none-any.whl", hash = "sha256:5004c087d17251938a52cce21b3dbdabeecbbe432ce3f5bbbf15d8692c36eac9"},
|
||||
{file = "websockets-11.0.2.tar.gz", hash = "sha256:b1a69701eb98ed83dd099de4a686dc892c413d974fa31602bc00aca7cb988ac9"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -4801,4 +4814,4 @@ cffi = ["cffi (>=1.11)"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.9"
|
||||
content-hash = "f0a23552d8cbd3d38722a69698cf823cdd19a90b707538837da64a933f8d13b4"
|
||||
content-hash = "1320f2d5466c6569ee0563cc81b28d8c8897c8f07b4e0912c231c6e4033a2bf8"
|
||||
|
|
|
|||
|
|
@ -47,6 +47,7 @@ fake-useragent = "^1.1.3"
|
|||
docstring-parser = "^0.15"
|
||||
psycopg2-binary = "^2.9.6"
|
||||
pyarrow = "^11.0.0"
|
||||
websockets = "^11.0.2"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
black = "^23.1.0"
|
||||
|
|
|
|||
|
|
@ -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 & $POETRY_HOME
|
||||
RUN curl -sSL https://install.python-poetry.org | python3 -
|
||||
|
||||
# copy project requirement files here to ensure they will be cached.
|
||||
WORKDIR /app
|
||||
COPY poetry.lock pyproject.toml ./
|
||||
COPY langflow/ ./langflow
|
||||
|
||||
# poetry install
|
||||
RUN poetry install --without dev
|
||||
|
||||
# build wheel
|
||||
RUN poetry build -f wheel
|
||||
|
|
@ -1,6 +0,0 @@
|
|||
#! /bin/bash
|
||||
|
||||
docker build -t logspace/backend_build -f build.Dockerfile .
|
||||
VERSION=$(toml get --toml-path pyproject.toml tool.poetry.version)
|
||||
docker build --build-arg VERSION=$VERSION -t ibiscp/langflow:$VERSION .
|
||||
docker push ibiscp/langflow:$VERSION
|
||||
|
|
@ -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"]
|
||||
|
|
|
|||
|
|
@ -3,6 +3,10 @@ from pydantic import BaseModel, validator
|
|||
from langflow.graph.utils import extract_input_variables_from_prompt
|
||||
|
||||
|
||||
class CacheResponse(BaseModel):
|
||||
data: dict
|
||||
|
||||
|
||||
class Code(BaseModel):
|
||||
code: str
|
||||
|
||||
|
|
|
|||
16
src/backend/langflow/api/callback.py
Normal file
16
src/backend/langflow/api/callback.py
Normal 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
18
src/backend/langflow/api/chat.py
Normal 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
|
||||
207
src/backend/langflow/api/chat_manager.py
Normal file
207
src/backend/langflow/api/chat_manager.py
Normal file
|
|
@ -0,0 +1,207 @@
|
|||
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 []
|
||||
|
||||
|
||||
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)
|
||||
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
40
src/backend/langflow/api/schemas.py
Normal 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
|
||||
1
src/backend/langflow/cache/__init__.py
vendored
1
src/backend/langflow/cache/__init__.py
vendored
|
|
@ -0,0 +1 @@
|
|||
from langflow.cache.manager import cache_manager # noqa
|
||||
|
|
@ -2,13 +2,18 @@ import base64
|
|||
import contextlib
|
||||
import functools
|
||||
import hashlib
|
||||
|
||||
import json
|
||||
import os
|
||||
import tempfile
|
||||
from collections import OrderedDict
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
from PIL import Image
|
||||
import dill
|
||||
import pandas as pd # type: ignore
|
||||
|
||||
import dill # type: ignore
|
||||
CACHE = {}
|
||||
|
||||
|
||||
def create_cache_folder(func):
|
||||
127
src/backend/langflow/cache/manager.py
vendored
Normal file
127
src/backend/langflow/cache/manager.py
vendored
Normal file
|
|
@ -0,0 +1,127 @@
|
|||
from contextlib import contextmanager
|
||||
from typing import Any, Awaitable, Callable, List
|
||||
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_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.current_cache[name] = {"obj": obj, "type": "pandas"}
|
||||
self.notify()
|
||||
else:
|
||||
raise ValueError("Object is not a pandas DataFrame or Series")
|
||||
|
||||
def add_image(self, name: str, obj: Any):
|
||||
"""
|
||||
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.current_cache[name] = {"obj": obj, "type": "image"}
|
||||
self.notify()
|
||||
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()
|
||||
|
|
@ -4,16 +4,18 @@
|
|||
# - Build each inner agent first, then build the outer agent
|
||||
|
||||
import contextlib
|
||||
import inspect
|
||||
import types
|
||||
import warnings
|
||||
from copy import deepcopy
|
||||
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.interface import loading
|
||||
from langflow.interface.listing import ALL_TYPES_DICT
|
||||
from langflow.utils.logger import logger
|
||||
from langflow.utils.util import sync_to_async
|
||||
|
||||
|
||||
class Node:
|
||||
|
|
@ -158,13 +160,20 @@ class Node:
|
|||
continue
|
||||
result = value.build()
|
||||
# If the key is "func", then we need to use the run method
|
||||
if key == "func" and 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
|
||||
if hasattr(result, "run"):
|
||||
result = result.run # type: ignore
|
||||
elif hasattr(result, "get_function"):
|
||||
result = result.get_function() # type: ignore
|
||||
if key == "func":
|
||||
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
|
||||
if hasattr(result, "run"):
|
||||
result = result.run # type: ignore
|
||||
elif hasattr(result, "get_function"):
|
||||
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
|
||||
elif isinstance(value, list) and all(
|
||||
|
|
|
|||
|
|
@ -20,6 +20,7 @@ from langchain.llms.loading import load_llm_from_config
|
|||
|
||||
from langflow.interface.agents.custom import CUSTOM_AGENTS
|
||||
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.types import get_type_list
|
||||
from langflow.interface.utils import load_file_into_dict
|
||||
|
|
@ -106,7 +107,19 @@ def load_flow_from_json(path: str, build=True):
|
|||
# Nodes, edges and root node
|
||||
edges = data_graph["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):
|
||||
|
|
|
|||
|
|
@ -3,7 +3,7 @@ import io
|
|||
from typing import Any, Dict
|
||||
from chromadb.errors import NotEnoughElementsException
|
||||
|
||||
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.interface import loading
|
||||
from langflow.utils.logger import logger
|
||||
|
|
@ -32,7 +32,7 @@ def load_or_build_langchain_object(data_graph, is_first_message=False):
|
|||
return build_langchain_object_with_caching(data_graph)
|
||||
|
||||
|
||||
@memoize_dict(maxsize=1)
|
||||
@memoize_dict(maxsize=10)
|
||||
def build_langchain_object_with_caching(data_graph):
|
||||
"""
|
||||
Build langchain object from data_graph.
|
||||
|
|
@ -87,7 +87,7 @@ def process_graph(data_graph: Dict[str, Any]):
|
|||
|
||||
# Generate 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")
|
||||
|
||||
# Save langchain_object to cache
|
||||
|
|
@ -118,7 +118,7 @@ def process_graph_cached(data_graph: Dict[str, Any]):
|
|||
|
||||
# Generate 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")
|
||||
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)
|
||||
|
||||
|
||||
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"""
|
||||
try:
|
||||
if hasattr(langchain_object, "verbose"):
|
||||
|
|
@ -240,6 +240,61 @@ def get_result_and_thought_using_graph(langchain_object, message: str):
|
|||
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):
|
||||
"""Get result and thought from extracted json"""
|
||||
try:
|
||||
|
|
|
|||
|
|
@ -1,5 +1,12 @@
|
|||
import base64
|
||||
from io import BytesIO
|
||||
import json
|
||||
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
|
||||
|
||||
|
|
@ -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.")
|
||||
|
||||
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
|
||||
|
|
|
|||
|
|
@ -3,6 +3,7 @@ from fastapi.middleware.cors import CORSMiddleware
|
|||
|
||||
from langflow.api.endpoints import router as endpoints_router
|
||||
from langflow.api.validate import router as validate_router
|
||||
from langflow.api.chat import router as chat_router
|
||||
|
||||
|
||||
def create_app():
|
||||
|
|
@ -23,6 +24,7 @@ def create_app():
|
|||
|
||||
app.include_router(endpoints_router)
|
||||
app.include_router(validate_router)
|
||||
app.include_router(chat_router)
|
||||
return app
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -1,3 +1,5 @@
|
|||
import asyncio
|
||||
from functools import partial, wraps
|
||||
import importlib
|
||||
import inspect
|
||||
import re
|
||||
|
|
@ -301,3 +303,15 @@ def update_verbose(d: dict, new_value: bool) -> dict:
|
|||
elif k == "verbose":
|
||||
d[k] = new_value
|
||||
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
|
||||
|
|
|
|||
|
|
@ -155,7 +155,7 @@ def create_function(code, function_name):
|
|||
exec_globals[function_name] = locals()[function_name]
|
||||
|
||||
# Return a function that imports necessary modules and calls the target function
|
||||
def wrapped_function(*args, **kwargs):
|
||||
async def wrapped_function(*args, **kwargs):
|
||||
for module_name, module in exec_globals.items():
|
||||
if isinstance(module, type(importlib)):
|
||||
globals()[module_name] = module
|
||||
|
|
|
|||
|
|
@ -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:$VERSION
|
||||
poetry add --editable ../../../langchain
|
||||
|
|
@ -1,5 +0,0 @@
|
|||
FROM node:14-alpine
|
||||
WORKDIR /app
|
||||
COPY . /app
|
||||
RUN npm install
|
||||
RUN npm run build
|
||||
|
|
@ -1,11 +0,0 @@
|
|||
#! /bin/bash
|
||||
|
||||
# Read the contents of the JSON file
|
||||
json=$(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
|
||||
37
src/frontend/package-lock.json
generated
37
src/frontend/package-lock.json
generated
|
|
@ -14,6 +14,7 @@
|
|||
"@heroicons/react": "^2.0.15",
|
||||
"@mui/material": "^5.11.9",
|
||||
"@tailwindcss/forms": "^0.5.3",
|
||||
"@tailwindcss/line-clamp": "^0.4.4",
|
||||
"@testing-library/jest-dom": "^5.16.5",
|
||||
"@testing-library/react": "^13.4.0",
|
||||
"@testing-library/user-event": "^13.5.0",
|
||||
|
|
@ -24,13 +25,14 @@
|
|||
"ace-builds": "^1.16.0",
|
||||
"ansi-to-html": "^0.7.2",
|
||||
"axios": "^1.3.2",
|
||||
"base64-js": "^1.5.1",
|
||||
"lodash": "^4.17.21",
|
||||
"react": "^18.2.0",
|
||||
"react-ace": "^10.1.0",
|
||||
"react-cookie": "^4.1.1",
|
||||
"react-dom": "^18.2.0",
|
||||
"react-error-boundary": "^4.0.2",
|
||||
"react-icons": "^4.7.1",
|
||||
"react-icons": "^4.8.0",
|
||||
"react-laag": "^2.0.5",
|
||||
"react-router-dom": "^6.8.1",
|
||||
"react-scripts": "5.0.1",
|
||||
|
|
@ -3931,6 +3933,14 @@
|
|||
"tailwindcss": ">=3.0.0 || >= 3.0.0-alpha.1"
|
||||
}
|
||||
},
|
||||
"node_modules/@tailwindcss/line-clamp": {
|
||||
"version": "0.4.4",
|
||||
"resolved": "https://registry.npmjs.org/@tailwindcss/line-clamp/-/line-clamp-0.4.4.tgz",
|
||||
"integrity": "sha512-5U6SY5z8N42VtrCrKlsTAA35gy2VSyYtHWCsg1H87NU1SXnEfekTVlrga9fzUDrrHcGi2Lb5KenUWb4lRQT5/g==",
|
||||
"peerDependencies": {
|
||||
"tailwindcss": ">=2.0.0 || >=3.0.0 || >=3.0.0-alpha.1"
|
||||
}
|
||||
},
|
||||
"node_modules/@testing-library/dom": {
|
||||
"version": "8.20.0",
|
||||
"resolved": "https://registry.npmjs.org/@testing-library/dom/-/dom-8.20.0.tgz",
|
||||
|
|
@ -5854,6 +5864,25 @@
|
|||
"resolved": "https://registry.npmjs.org/balanced-match/-/balanced-match-1.0.2.tgz",
|
||||
"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": {
|
||||
"version": "0.6.1",
|
||||
"resolved": "https://registry.npmjs.org/batch/-/batch-0.6.1.tgz",
|
||||
|
|
@ -15032,9 +15061,9 @@
|
|||
"integrity": "sha512-/6UZ2qgEyH2aqzYZgQPxEnz33NJ2gNsnHA2o5+o4wW9bLM/JYQitNP9xPhsXwC08hMMovfGe/8retsdDsczPRg=="
|
||||
},
|
||||
"node_modules/react-icons": {
|
||||
"version": "4.7.1",
|
||||
"resolved": "https://registry.npmjs.org/react-icons/-/react-icons-4.7.1.tgz",
|
||||
"integrity": "sha512-yHd3oKGMgm7zxo3EA7H2n7vxSoiGmHk5t6Ou4bXsfcgWyhfDKMpyKfhHR6Bjnn63c+YXBLBPUql9H4wPJM6sXw==",
|
||||
"version": "4.8.0",
|
||||
"resolved": "https://registry.npmjs.org/react-icons/-/react-icons-4.8.0.tgz",
|
||||
"integrity": "sha512-N6+kOLcihDiAnj5Czu637waJqSnwlMNROzVZMhfX68V/9bu9qHaMIJC4UdozWoOk57gahFCNHwVvWzm0MTzRjg==",
|
||||
"peerDependencies": {
|
||||
"react": "*"
|
||||
}
|
||||
|
|
|
|||
|
|
@ -9,6 +9,7 @@
|
|||
"@heroicons/react": "^2.0.15",
|
||||
"@mui/material": "^5.11.9",
|
||||
"@tailwindcss/forms": "^0.5.3",
|
||||
"@tailwindcss/line-clamp": "^0.4.4",
|
||||
"@testing-library/jest-dom": "^5.16.5",
|
||||
"@testing-library/react": "^13.4.0",
|
||||
"@testing-library/user-event": "^13.5.0",
|
||||
|
|
@ -19,13 +20,14 @@
|
|||
"ace-builds": "^1.16.0",
|
||||
"ansi-to-html": "^0.7.2",
|
||||
"axios": "^1.3.2",
|
||||
"base64-js": "^1.5.1",
|
||||
"lodash": "^4.17.21",
|
||||
"react": "^18.2.0",
|
||||
"react-ace": "^10.1.0",
|
||||
"react-cookie": "^4.1.1",
|
||||
"react-dom": "^18.2.0",
|
||||
"react-error-boundary": "^4.0.2",
|
||||
"react-icons": "^4.7.1",
|
||||
"react-icons": "^4.8.0",
|
||||
"react-laag": "^2.0.5",
|
||||
"react-router-dom": "^6.8.1",
|
||||
"react-scripts": "5.0.1",
|
||||
|
|
@ -60,5 +62,5 @@
|
|||
"last 1 safari version"
|
||||
]
|
||||
},
|
||||
"proxy": "http://backend:7860"
|
||||
"proxy": "http://127.0.0.1:5003"
|
||||
}
|
||||
40
src/frontend/src/assets/Gooey Ring-5s-271px.svg
Normal file
40
src/frontend/src/assets/Gooey Ring-5s-271px.svg
Normal 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>
|
||||
|
After Width: | Height: | Size: 2.5 KiB |
|
|
@ -1,6 +1,7 @@
|
|||
import { ReactElement } from "react";
|
||||
import { LightTooltip } from "../LightTooltipComponent";
|
||||
import { TooltipComponentType } from "../../types/components";
|
||||
|
||||
export default function Tooltip({ children, title }:{children:ReactElement,title:string}) {
|
||||
return <LightTooltip title={title} arrow>{children}</LightTooltip>;
|
||||
export default function Tooltip({ children, title,placement }:TooltipComponentType) {
|
||||
return <LightTooltip placement={placement} title={title} arrow>{children}</LightTooltip>;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -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>)
|
||||
}
|
||||
|
|
@ -1,291 +1,32 @@
|
|||
import { Transition } from "@headlessui/react";
|
||||
import {
|
||||
Bars3CenterLeftIcon,
|
||||
LockClosedIcon,
|
||||
PaperAirplaneIcon,
|
||||
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";
|
||||
|
||||
import { ChatMessageType, ChatType } from "../../types/chat";
|
||||
import ChatTrigger from "./chatTrigger";
|
||||
import ChatModal from "../../modals/chatModal";
|
||||
|
||||
const _ = require("lodash");
|
||||
|
||||
export default function Chat({ flow, reactFlowInstance }: ChatType) {
|
||||
const { updateFlow, lockChat, setLockChat, flows, tabIndex } =
|
||||
useContext(TabsContext);
|
||||
const [saveChat, setSaveChat] = useState(false);
|
||||
const [open, setOpen] = useState(true);
|
||||
const [chatValue, setChatValue] = useState("");
|
||||
const [chatHistory, setChatHistory] = useState(flow.chat);
|
||||
const { setErrorData, setNoticeData } = useContext(alertContext);
|
||||
const addChatHistory = (
|
||||
message: string,
|
||||
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);
|
||||
};
|
||||
export default function Chat({ flow }: ChatType) {
|
||||
const [open, setOpen] = useState(false);
|
||||
useEffect(() => {
|
||||
updateFlow({ ..._.cloneDeep(flow), chat: chatHistory });
|
||||
// eslint-disable-next-line react-hooks/exhaustive-deps
|
||||
}, [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].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,
|
||||
})
|
||||
.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: [] });
|
||||
}
|
||||
|
||||
const handleKeyDown = (event: KeyboardEvent) => {
|
||||
if (event.key === "K" && event.shiftKey && (event.metaKey||event.ctrlKey)) {
|
||||
setOpen(oldState=>!oldState);
|
||||
}
|
||||
};
|
||||
document.addEventListener("keydown", handleKeyDown);
|
||||
return () => {
|
||||
document.removeEventListener("keydown", handleKeyDown);
|
||||
};
|
||||
}, []);
|
||||
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="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>
|
||||
<ChatModal key={flow.id} flow={flow} open={open} setOpen={setOpen} />
|
||||
<ChatTrigger open={open} setOpen={setOpen} flow={flow} />
|
||||
</>
|
||||
);
|
||||
}
|
||||
|
|
|
|||
|
|
@ -10,6 +10,7 @@ export default function LoadingComponent({remSize}:LoadingComponentProps){
|
|||
<path d="M100 50.5908C100 78.2051 77.6142 100.591 50 100.591C22.3858 100.591 0 78.2051 0 50.5908C0 22.9766 22.3858 0.59082 50 0.59082C77.6142 0.59082 100 22.9766 100 50.5908ZM9.08144 50.5908C9.08144 73.1895 27.4013 91.5094 50 91.5094C72.5987 91.5094 90.9186 73.1895 90.9186 50.5908C90.9186 27.9921 72.5987 9.67226 50 9.67226C27.4013 9.67226 9.08144 27.9921 9.08144 50.5908Z" fill="currentColor"/>
|
||||
<path d="M93.9676 39.0409C96.393 38.4038 97.8624 35.9116 97.0079 33.5539C95.2932 28.8227 92.871 24.3692 89.8167 20.348C85.8452 15.1192 80.8826 10.7238 75.2124 7.41289C69.5422 4.10194 63.2754 1.94025 56.7698 1.05124C51.7666 0.367541 46.6976 0.446843 41.7345 1.27873C39.2613 1.69328 37.813 4.19778 38.4501 6.62326C39.0873 9.04874 41.5694 10.4717 44.0505 10.1071C47.8511 9.54855 51.7191 9.52689 55.5402 10.0491C60.8642 10.7766 65.9928 12.5457 70.6331 15.2552C75.2735 17.9648 79.3347 21.5619 82.5849 25.841C84.9175 28.9121 86.7997 32.2913 88.1811 35.8758C89.083 38.2158 91.5421 39.6781 93.9676 39.0409Z" fill="currentFill"/>
|
||||
</svg>
|
||||
<br></br>
|
||||
<span className="animate-pulse text-blue-600 text-lg">Loading...</span>
|
||||
</div>
|
||||
)
|
||||
|
|
|
|||
|
|
@ -13,12 +13,10 @@ export default function ContextWrapper({ children }: { children: ReactNode }) {
|
|||
<DarkProvider>
|
||||
<LocationProvider>
|
||||
<AlertProvider>
|
||||
<TabsProvider>
|
||||
<PopUpProvider>
|
||||
<TabsProvider>
|
||||
<TypesProvider>
|
||||
{children}
|
||||
<PopUpProvider>{children}</PopUpProvider>
|
||||
</TypesProvider>
|
||||
</PopUpProvider>
|
||||
</TabsProvider>
|
||||
</AlertProvider>
|
||||
</LocationProvider>
|
||||
|
|
|
|||
|
|
@ -1,11 +1,19 @@
|
|||
import { createContext, useEffect, useState, useRef, ReactNode, useContext } from "react";
|
||||
import {
|
||||
createContext,
|
||||
useEffect,
|
||||
useState,
|
||||
useRef,
|
||||
ReactNode,
|
||||
useContext,
|
||||
} from "react";
|
||||
import { FlowType } from "../types/flow";
|
||||
import { TabsContextType } from "../types/tabs";
|
||||
import { normalCaseToSnakeCase } from "../utils";
|
||||
import { alertContext } from "./alertContext";
|
||||
const { v4: uuidv4 } = require('uuid');
|
||||
|
||||
const TabsContextInitialValue: TabsContextType = {
|
||||
save:()=>{},
|
||||
save: () => {},
|
||||
tabIndex: 0,
|
||||
setTabIndex: (index: number) => {},
|
||||
flows: [],
|
||||
|
|
@ -13,11 +21,9 @@ const TabsContextInitialValue: TabsContextType = {
|
|||
addFlow: (flowData?: any) => {},
|
||||
updateFlow: (newFlow: FlowType) => {},
|
||||
incrementNodeId: () => 0,
|
||||
downloadFlow: (flow:FlowType) => {},
|
||||
downloadFlow: (flow: FlowType) => {},
|
||||
uploadFlow: () => {},
|
||||
lockChat: false,
|
||||
setLockChat:(prevState:boolean)=>{},
|
||||
hardReset:()=>{},
|
||||
hardReset: () => {},
|
||||
};
|
||||
|
||||
export const TabsContext = createContext<TabsContextType>(
|
||||
|
|
@ -25,31 +31,28 @@ export const TabsContext = createContext<TabsContextType>(
|
|||
);
|
||||
|
||||
export function TabsProvider({ children }: { children: ReactNode }) {
|
||||
const {setNoticeData} = useContext(alertContext)
|
||||
const { setNoticeData } = useContext(alertContext);
|
||||
const [tabIndex, setTabIndex] = useState(0);
|
||||
const [flows, setFlows] = useState<Array<FlowType>>([]);
|
||||
const [id, setId] = useState(0);
|
||||
const [lockChat, setLockChat] = useState(false);
|
||||
const [id, setId] = useState("");
|
||||
|
||||
const newNodeId = useRef(0);
|
||||
function incrementNodeId() {
|
||||
newNodeId.current = newNodeId.current + 1;
|
||||
return newNodeId.current;
|
||||
}
|
||||
function save(){
|
||||
function save() {
|
||||
if (flows.length !== 0)
|
||||
window.localStorage.setItem(
|
||||
"tabsData",
|
||||
JSON.stringify({ tabIndex, flows, id, nodeId: newNodeId.current })
|
||||
);
|
||||
window.localStorage.setItem(
|
||||
"tabsData",
|
||||
JSON.stringify({ tabIndex, flows, id, nodeId: newNodeId.current })
|
||||
);
|
||||
}
|
||||
useEffect(() => {
|
||||
//save tabs locally
|
||||
save()
|
||||
save();
|
||||
}, [flows, id, tabIndex, newNodeId]);
|
||||
|
||||
|
||||
|
||||
useEffect(() => {
|
||||
//get tabs locally saved
|
||||
let cookie = window.localStorage.getItem("tabsData");
|
||||
|
|
@ -61,15 +64,17 @@ export function TabsProvider({ children }: { children: ReactNode }) {
|
|||
newNodeId.current = cookieObject.nodeId;
|
||||
}
|
||||
}, []);
|
||||
function hardReset(){
|
||||
newNodeId.current=0;
|
||||
setTabIndex(0);setFlows([]);setId(0);
|
||||
function hardReset() {
|
||||
newNodeId.current = 0;
|
||||
setTabIndex(0);
|
||||
setFlows([]);
|
||||
setId(uuidv4());
|
||||
}
|
||||
|
||||
/**
|
||||
* Downloads the current flow as a JSON file
|
||||
*/
|
||||
function downloadFlow(flow:FlowType) {
|
||||
function downloadFlow(flow: FlowType) {
|
||||
// create a data URI with the current flow data
|
||||
const jsonString = `data:text/json;chatset=utf-8,${encodeURIComponent(
|
||||
JSON.stringify(flow)
|
||||
|
|
@ -82,7 +87,9 @@ export function TabsProvider({ children }: { children: ReactNode }) {
|
|||
|
||||
// simulate a click on the link element to trigger the download
|
||||
link.click();
|
||||
setNoticeData({title:"Warning: Critical data,JSON file may including API keys."})
|
||||
setNoticeData({
|
||||
title: "Warning: Critical data,JSON file may including API keys.",
|
||||
});
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
@ -139,19 +146,18 @@ export function TabsProvider({ children }: { children: ReactNode }) {
|
|||
function addFlow(flow?: FlowType) {
|
||||
// Get data from the flow or set it to null if there's no flow provided.
|
||||
const data = flow?.data ? flow.data : null;
|
||||
const description = flow?.description?flow.description:""
|
||||
const description = flow?.description ? flow.description : "";
|
||||
|
||||
// Create a new flow with a default name if no flow is provided.
|
||||
let newFlow: FlowType = {
|
||||
description,
|
||||
name: "New Flow",
|
||||
name: flow?.name ?? "New Flow",
|
||||
id: id.toString(),
|
||||
data,
|
||||
chat: flow ? flow.chat : [],
|
||||
};
|
||||
|
||||
// Increment the ID counter.
|
||||
setId((old) => old + 1);
|
||||
setId(uuidv4());
|
||||
|
||||
// Add the new flow to the list of flows.
|
||||
setFlows((prevState) => {
|
||||
|
|
@ -171,10 +177,9 @@ export function TabsProvider({ children }: { children: ReactNode }) {
|
|||
const newFlows = [...prevState];
|
||||
const index = newFlows.findIndex((flow) => flow.id === newFlow.id);
|
||||
if (index !== -1) {
|
||||
newFlows[index].description = newFlow.description??""
|
||||
newFlows[index].description = newFlow.description ?? "";
|
||||
newFlows[index].data = newFlow.data;
|
||||
newFlows[index].name = newFlow.name;
|
||||
newFlows[index].chat = newFlow.chat;
|
||||
}
|
||||
return newFlows;
|
||||
});
|
||||
|
|
@ -185,8 +190,6 @@ export function TabsProvider({ children }: { children: ReactNode }) {
|
|||
value={{
|
||||
save,
|
||||
hardReset,
|
||||
lockChat,
|
||||
setLockChat,
|
||||
tabIndex,
|
||||
setTabIndex,
|
||||
flows,
|
||||
|
|
|
|||
|
|
@ -1,6 +1,7 @@
|
|||
import { PromptTypeAPI, errorsTypeAPI } from './../../types/api/index';
|
||||
import { APIObjectType, sendAllProps } from '../../types/api/index';
|
||||
import axios, { AxiosResponse } from "axios";
|
||||
import { FlowType } from '../../types/flow';
|
||||
|
||||
export async function getAll():Promise<AxiosResponse<APIObjectType>> {
|
||||
return await axios.get(`/all`);
|
||||
|
|
@ -18,4 +19,22 @@ export async function checkCode(code:string):Promise<AxiosResponse<errorsTypeAPI
|
|||
export async function checkPrompt(template:string):Promise<AxiosResponse<PromptTypeAPI>>{
|
||||
|
||||
return await axios.post('/validate/prompt',{template})
|
||||
}
|
||||
}
|
||||
|
||||
export async function getExamples(): Promise<FlowType[]> {
|
||||
const url = 'https://api.github.com/repos/logspace-ai/langflow_examples/contents/examples';
|
||||
const response = await axios.get(url);
|
||||
|
||||
const jsonFiles = response.data.filter((file: any) => {
|
||||
return file.name.endsWith('.json');
|
||||
});
|
||||
|
||||
const contentsPromises = jsonFiles.map(async (file: any) => {
|
||||
const contentResponse = await axios.get(file.download_url);
|
||||
return contentResponse.data;
|
||||
});
|
||||
|
||||
const contents = await Promise.all(contentsPromises);
|
||||
|
||||
return contents;
|
||||
}
|
||||
55
src/frontend/src/modals/chatModal/chatInput/index.tsx
Normal file
55
src/frontend/src/modals/chatModal/chatInput/index.tsx
Normal 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
82
src/frontend/src/modals/chatModal/chatMessage/index.tsx
Normal 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" : "bg-gray-200"
|
||||
)}
|
||||
>
|
||||
<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=" 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" />
|
||||
</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>
|
||||
{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 dark:bg-gray-700">
|
||||
{chat.message}
|
||||
</div>
|
||||
</div>
|
||||
)}
|
||||
</div>
|
||||
);
|
||||
}
|
||||
36
src/frontend/src/modals/chatModal/fileComponent/index.tsx
Normal file
36
src/frontend/src/modals/chatModal/fileComponent/index.tsx
Normal 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>
|
||||
);
|
||||
}
|
||||
330
src/frontend/src/modals/chatModal/index.tsx
Normal file
330
src/frontend/src/modals/chatModal/index.tsx
Normal file
|
|
@ -0,0 +1,330 @@
|
|||
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 { updateFlow } = useContext(TabsContext);
|
||||
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 });
|
||||
} else if (thought) {
|
||||
newChat.push({ message, isSend, thought });
|
||||
} else {
|
||||
newChat.push({ message, isSend });
|
||||
}
|
||||
return newChat;
|
||||
});
|
||||
};
|
||||
|
||||
function connectWS() {
|
||||
const newWs = new WebSocket(`ws://127.0.0.1:5003/chat/${flow.id}`);
|
||||
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.onclose = (_) => {
|
||||
if (open) {
|
||||
setLockChat(false);
|
||||
setTimeout(() => {
|
||||
connectWS();
|
||||
}, 100);
|
||||
}
|
||||
};
|
||||
setWs(newWs);
|
||||
|
||||
return newWs;
|
||||
}
|
||||
|
||||
useEffect(() => {
|
||||
let newWs = connectWS();
|
||||
return () => {
|
||||
newWs.close();
|
||||
};
|
||||
}, []);
|
||||
|
||||
async function sendAll(data: sendAllProps) {
|
||||
if (ws) {
|
||||
ws.send(JSON.stringify(data));
|
||||
}
|
||||
}
|
||||
|
||||
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>
|
||||
);
|
||||
}
|
||||
|
|
@ -1,6 +1,7 @@
|
|||
import React, { ReactNode } from "react";
|
||||
import { DocumentDuplicateIcon } from "@heroicons/react/solid";
|
||||
import { classNames } from "../../../utils";
|
||||
import Tooltip from "../../../components/TooltipComponent";
|
||||
|
||||
export default function ButtonBox({
|
||||
onClick,
|
||||
|
|
@ -9,7 +10,8 @@ export default function ButtonBox({
|
|||
icon,
|
||||
bgColor,
|
||||
textColor,
|
||||
deactivate
|
||||
deactivate,
|
||||
size,
|
||||
}: {
|
||||
onClick: () => void;
|
||||
title: string;
|
||||
|
|
@ -17,31 +19,103 @@ export default function ButtonBox({
|
|||
icon: ReactNode;
|
||||
bgColor: string;
|
||||
textColor: string;
|
||||
deactivate?:boolean;
|
||||
deactivate?: boolean;
|
||||
size: "small" | "medium" | "big";
|
||||
}) {
|
||||
let bigCircle: string;
|
||||
let smallCircle: string;
|
||||
let titleFontSize: string;
|
||||
let descriptionFontSize: string;
|
||||
let padding: string;
|
||||
let marginTop: string;
|
||||
let height: string;
|
||||
let widht: string;
|
||||
switch (size) {
|
||||
case "small":
|
||||
bigCircle = "h-12 w-12";
|
||||
smallCircle = "h-8 w-8";
|
||||
titleFontSize = "text-sm";
|
||||
descriptionFontSize = "text-xs";
|
||||
padding = "p-2";
|
||||
marginTop = "mt-2";
|
||||
height = "h-36";
|
||||
widht = "w-32";
|
||||
break;
|
||||
case "medium":
|
||||
bigCircle = "h-16 w-16";
|
||||
smallCircle = "h-12 w-12";
|
||||
titleFontSize = "text-base";
|
||||
descriptionFontSize = "text-sm";
|
||||
padding = "p-4";
|
||||
marginTop = "mt-3";
|
||||
height = "h-44";
|
||||
widht = "w-36";
|
||||
break;
|
||||
case "big":
|
||||
bigCircle = "h-20 w-20";
|
||||
smallCircle = "h-16 w-16";
|
||||
titleFontSize = "text-lg";
|
||||
descriptionFontSize = "text-sm";
|
||||
padding = "p-8";
|
||||
marginTop = "mt-6";
|
||||
height = "h-56";
|
||||
widht = "w-44";
|
||||
break;
|
||||
default:
|
||||
bigCircle = "h-20 w-20";
|
||||
smallCircle = "h-16 w-16";
|
||||
titleFontSize = "text-lg";
|
||||
descriptionFontSize = "text-sm";
|
||||
padding = "p-8";
|
||||
marginTop = "mt-6";
|
||||
height = "h-56";
|
||||
widht = "w-44";
|
||||
break;
|
||||
}
|
||||
return (
|
||||
<button disabled={deactivate} onClick={onClick}>
|
||||
<div
|
||||
className={classNames(
|
||||
"col-span-1 flex flex-col divide-y divide-gray-200 rounded-lg text-center shadow border border-gray-300 hover:shadow-lg transform hover:scale-105",
|
||||
bgColor
|
||||
)}
|
||||
>
|
||||
<div className="flex flex-1 flex-col p-8">
|
||||
<div className="mx-auto flex items-center justify-center h-20 w-20 bg-white/30 rounded-full">
|
||||
<div className="mx-auto flex items-center justify-center h-16 w-16 bg-white rounded-full">
|
||||
<div className={textColor}>
|
||||
{icon}
|
||||
</div>
|
||||
<Tooltip title={description} placement="bottom">
|
||||
<div
|
||||
className={classNames(
|
||||
"col-span-1 flex flex-col divide-y divide-gray-200 rounded-lg text-center shadow border border-gray-300 hover:shadow-lg transform hover:scale-105",
|
||||
bgColor,
|
||||
height,
|
||||
widht
|
||||
)}
|
||||
>
|
||||
<div className={`flex flex-1 flex-col ${padding}`}>
|
||||
<div
|
||||
className={`mx-auto flex items-center justify-center ${bigCircle} bg-white/30 rounded-full`}
|
||||
>
|
||||
<div
|
||||
className={`mx-auto flex items-center justify-center ${smallCircle} bg-white rounded-full`}
|
||||
>
|
||||
<div className={textColor}>{icon}</div>
|
||||
</div>
|
||||
</div>
|
||||
<h3
|
||||
className={classNames(
|
||||
"font-semibold text-white",
|
||||
titleFontSize,
|
||||
marginTop
|
||||
)}
|
||||
>
|
||||
{title}
|
||||
</h3>
|
||||
<div className="mt-1 flex flex-grow flex-col justify-between">
|
||||
<dt className="sr-only">{title}</dt>
|
||||
{/* <dd
|
||||
className={classNames(
|
||||
"text-gray-100 line-clamp-2",
|
||||
descriptionFontSize
|
||||
)}
|
||||
>
|
||||
{deactivate ? "Coming soon" : description}
|
||||
</dd> */}
|
||||
</div>
|
||||
</div>
|
||||
<h3 className="mt-6 text-lg font-semibold text-white">{title}</h3>
|
||||
<div className="mt-1 flex flex-grow flex-col justify-between">
|
||||
<dt className="sr-only">{title}</dt>
|
||||
<dd className="text-sm text-gray-100">{deactivate? "Coming soon":description}</dd>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</Tooltip>
|
||||
</button>
|
||||
);
|
||||
}
|
||||
|
|
|
|||
|
|
@ -3,19 +3,30 @@ import {
|
|||
XMarkIcon,
|
||||
ArrowDownTrayIcon,
|
||||
DocumentDuplicateIcon,
|
||||
ComputerDesktopIcon,
|
||||
ComputerDesktopIcon,
|
||||
ArrowUpTrayIcon,
|
||||
ArrowLeftIcon,
|
||||
} from "@heroicons/react/24/outline";
|
||||
import { Fragment, useContext, useRef, useState } from "react";
|
||||
import { PopUpContext } from "../../contexts/popUpContext";
|
||||
import { TabsContext } from "../../contexts/tabsContext";
|
||||
import ButtonBox from "./buttonBox";
|
||||
import { getExamples } from "../../controllers/API";
|
||||
import { error } from "console";
|
||||
import { alertContext } from "../../contexts/alertContext";
|
||||
import LoadingComponent from "../../components/loadingComponent";
|
||||
import { FlowType } from "../../types/flow";
|
||||
import { classNames } from "../../utils";
|
||||
|
||||
export default function ImportModal() {
|
||||
const [open, setOpen] = useState(true);
|
||||
const { setErrorData } = useContext(alertContext);
|
||||
const { closePopUp } = useContext(PopUpContext);
|
||||
const ref = useRef();
|
||||
const {uploadFlow} = useContext(TabsContext)
|
||||
const [showExamples, setShowExamples] = useState(false);
|
||||
const [loadingExamples, setLoadingExamples] = useState(false);
|
||||
const [examples, setExamples] = useState<FlowType[]>([]);
|
||||
const { uploadFlow, addFlow } = useContext(TabsContext);
|
||||
function setModalOpen(x: boolean) {
|
||||
setOpen(x);
|
||||
if (x === false) {
|
||||
|
|
@ -24,6 +35,22 @@ export default function ImportModal() {
|
|||
}, 300);
|
||||
}
|
||||
}
|
||||
|
||||
function handleExamples() {
|
||||
setLoadingExamples(true);
|
||||
getExamples()
|
||||
.then((result) => {
|
||||
setLoadingExamples(false);
|
||||
setExamples(result);
|
||||
})
|
||||
.catch((error) =>
|
||||
setErrorData({
|
||||
title: "there was an error loading examples, please try again",
|
||||
list: [error.message],
|
||||
})
|
||||
);
|
||||
}
|
||||
|
||||
return (
|
||||
<Transition.Root show={open} appear={true} as={Fragment}>
|
||||
<Dialog
|
||||
|
|
@ -68,6 +95,41 @@ export default function ImportModal() {
|
|||
<XMarkIcon className="h-6 w-6" aria-hidden="true" />
|
||||
</button>
|
||||
</div>
|
||||
{showExamples && (
|
||||
<>
|
||||
<div className="z-50 absolute top-2 left-0 hidden pt-4 pl-4 sm:block">
|
||||
<button
|
||||
type="button"
|
||||
className="rounded-md text-gray-400 hover:text-gray-500 focus:outline-none focus:ring-2 focus:ring-indigo-500 focus:ring-offset-2"
|
||||
onClick={() => {
|
||||
setShowExamples(false);
|
||||
}}
|
||||
>
|
||||
<span className="sr-only">Close</span>
|
||||
<ArrowLeftIcon className="h-6 w-6" aria-hidden="true" />
|
||||
</button>
|
||||
</div>
|
||||
<div className="z-50 absolute bottom-2 left-0 hidden pt-4 pl-2 sm:block">
|
||||
<a
|
||||
href="https://github.com/logspace-ai/langflow_examples"
|
||||
target="_blank"
|
||||
>
|
||||
<svg
|
||||
width="24"
|
||||
viewBox="0 0 98 96"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
>
|
||||
<path
|
||||
fill-rule="evenodd"
|
||||
clip-rule="evenodd"
|
||||
d="M48.854 0C21.839 0 0 22 0 49.217c0 21.756 13.993 40.172 33.405 46.69 2.427.49 3.316-1.059 3.316-2.362 0-1.141-.08-5.052-.08-9.127-13.59 2.934-16.42-5.867-16.42-5.867-2.184-5.704-5.42-7.17-5.42-7.17-4.448-3.015.324-3.015.324-3.015 4.934.326 7.523 5.052 7.523 5.052 4.367 7.496 11.404 5.378 14.235 4.074.404-3.178 1.699-5.378 3.074-6.6-10.839-1.141-22.243-5.378-22.243-24.283 0-5.378 1.94-9.778 5.014-13.2-.485-1.222-2.184-6.275.486-13.038 0 0 4.125-1.304 13.426 5.052a46.97 46.97 0 0 1 12.214-1.63c4.125 0 8.33.571 12.213 1.63 9.302-6.356 13.427-5.052 13.427-5.052 2.67 6.763.97 11.816.485 13.038 3.155 3.422 5.015 7.822 5.015 13.2 0 18.905-11.404 23.06-22.324 24.283 1.78 1.548 3.316 4.481 3.316 9.126 0 6.6-.08 11.897-.08 13.526 0 1.304.89 2.853 3.316 2.364 19.412-6.52 33.405-24.935 33.405-46.691C97.707 22 75.788 0 48.854 0z"
|
||||
fill="#24292f"
|
||||
/>
|
||||
</svg>
|
||||
</a>
|
||||
</div>
|
||||
</>
|
||||
)}
|
||||
<div className="h-full w-full flex flex-col justify-center items-center">
|
||||
<div className="flex w-full pb-4 z-10 justify-center shadow-sm">
|
||||
<div className="mx-auto mt-4 flex h-12 w-12 flex-shrink-0 items-center justify-center rounded-full bg-blue-100 dark:bg-gray-900 sm:mx-0 sm:h-10 sm:w-10">
|
||||
|
|
@ -81,36 +143,81 @@ export default function ImportModal() {
|
|||
as="h3"
|
||||
className="text-lg font-medium dark:text-white leading-10 text-gray-900"
|
||||
>
|
||||
Import from
|
||||
{showExamples ?"Select an example":"Import from"}
|
||||
</Dialog.Title>
|
||||
</div>
|
||||
</div>
|
||||
<div className="h-full w-full bg-gray-200 dark:bg-gray-900 p-4 gap-4 flex flex-row justify-center items-center">
|
||||
<div className="flex h-full w-full justify-evenly items-center">
|
||||
<ButtonBox
|
||||
deactivate
|
||||
bgColor="bg-slate-400"
|
||||
description="Prebuilt Examples"
|
||||
icon={
|
||||
<DocumentDuplicateIcon className="h-10 w-10 flex-shrink-0" />
|
||||
}
|
||||
onClick={() => console.log("sdsds")}
|
||||
textColor="text-slate-400"
|
||||
title="Examples"
|
||||
></ButtonBox>
|
||||
<ButtonBox
|
||||
bgColor="bg-blue-500"
|
||||
description="Import from Local"
|
||||
icon={
|
||||
<ComputerDesktopIcon className="h-10 w-10 flex-shrink-0" />
|
||||
}
|
||||
onClick={() => {uploadFlow();setModalOpen(false)}}
|
||||
textColor="text-blue-500"
|
||||
title="Local file"
|
||||
></ButtonBox>
|
||||
</div>
|
||||
<div
|
||||
className={classNames(
|
||||
"h-full w-full bg-gray-200 dark:bg-gray-900 gap-4",
|
||||
showExamples && !loadingExamples
|
||||
? "flex flex-row start justify-start items-start p-9 flex-wrap overflow-auto"
|
||||
: "flex flex-row justify-center items-center p-4"
|
||||
)}
|
||||
>
|
||||
{!showExamples && (
|
||||
<div className="flex h-full w-full justify-evenly items-center">
|
||||
<ButtonBox
|
||||
size="big"
|
||||
bgColor="bg-emerald-500"
|
||||
description="Prebuilt Examples"
|
||||
icon={
|
||||
<DocumentDuplicateIcon className="h-10 w-10 flex-shrink-0" />
|
||||
}
|
||||
onClick={() => {
|
||||
setShowExamples(true);
|
||||
handleExamples();
|
||||
}}
|
||||
textColor="text-emerald-400"
|
||||
title="Examples"
|
||||
></ButtonBox>
|
||||
<ButtonBox
|
||||
size="big"
|
||||
bgColor="bg-blue-500"
|
||||
description="Import from Local"
|
||||
icon={
|
||||
<ComputerDesktopIcon className="h-10 w-10 flex-shrink-0" />
|
||||
}
|
||||
onClick={() => {
|
||||
uploadFlow();
|
||||
setModalOpen(false);
|
||||
}}
|
||||
textColor="text-blue-500"
|
||||
title="Local file"
|
||||
></ButtonBox>
|
||||
</div>
|
||||
)}
|
||||
{showExamples && loadingExamples && (
|
||||
<div className="flex align-middle justify-center items-center">
|
||||
<LoadingComponent remSize={30} />
|
||||
</div>
|
||||
)}
|
||||
{showExamples &&
|
||||
!loadingExamples &&
|
||||
examples.map((example, index) => {
|
||||
return (
|
||||
<div id="index">
|
||||
{" "}
|
||||
<ButtonBox
|
||||
size="small"
|
||||
bgColor="bg-emerald-500"
|
||||
description={
|
||||
example.description ?? "Prebuilt Examples"
|
||||
}
|
||||
icon={
|
||||
<DocumentDuplicateIcon className="h-6 w-6 flex-shrink-0" />
|
||||
}
|
||||
onClick={() => {
|
||||
addFlow(example);
|
||||
setModalOpen(false);
|
||||
}}
|
||||
textColor="text-emerald-400"
|
||||
title={example.name}
|
||||
></ButtonBox>
|
||||
</div>
|
||||
);
|
||||
})}
|
||||
</div>
|
||||
|
||||
</div>
|
||||
</Dialog.Panel>
|
||||
</Transition.Child>
|
||||
|
|
|
|||
|
|
@ -18,7 +18,8 @@ export default function TabComponent({ selected, flow, onClick }:{flow:FlowType,
|
|||
className="dark:text-white flex justify-between select-none truncate w-44 items-center px-4 my-1.5 border-x border-x-gray-300 dark:border-x-gray-600 -ml-px"
|
||||
onClick={onClick}
|
||||
>
|
||||
{flow.name}
|
||||
<span className="w-32 truncate text-left">{flow.name}</span>
|
||||
|
||||
<button
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
|
|
|
|||
|
|
@ -60,18 +60,18 @@ export default function TabsManagerComponent() {
|
|||
/>
|
||||
)
|
||||
}
|
||||
className="flex items-center gap-1 pr-2 border-gray-400 border-r text-sm text-gray-400 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" />
|
||||
</button>
|
||||
<button
|
||||
onClick={() =>openPopUp(<ExportModal/>)}
|
||||
className="flex items-center gap-1 mr-2 text-sm text-gray-400 hover:text-gray-500"
|
||||
className="flex items-center gap-1 mr-2 text-sm text-gray-600 hover:text-gray-500"
|
||||
>
|
||||
Export <ArrowDownTrayIcon className="h-5 w-5" />
|
||||
</button>
|
||||
<button
|
||||
className="text-gray-400 hover:text-gray-500 "
|
||||
className="text-gray-600 hover:text-gray-500 "
|
||||
onClick={() => {
|
||||
setDark(!dark);
|
||||
}}
|
||||
|
|
@ -83,7 +83,7 @@ export default function TabsManagerComponent() {
|
|||
)}
|
||||
</button>
|
||||
<button
|
||||
className="text-gray-400 hover:text-gray-500 relative"
|
||||
className="text-gray-600 hover:text-gray-500 relative"
|
||||
onClick={(event: React.MouseEvent<HTMLElement>) => {
|
||||
setNotificationCenter(false);
|
||||
const top = (event.target as Element).getBoundingClientRect().top;
|
||||
|
|
|
|||
5
src/frontend/src/svg.d.ts
vendored
Normal file
5
src/frontend/src/svg.d.ts
vendored
Normal file
|
|
@ -0,0 +1,5 @@
|
|||
declare module '*.svg' {
|
||||
const content: any;
|
||||
export default content;
|
||||
}
|
||||
|
||||
|
|
@ -1,5 +1,10 @@
|
|||
import { ReactFlowInstance } from 'reactflow';
|
||||
import { ReactFlowInstance } from "reactflow";
|
||||
import { FlowType } from "../flow";
|
||||
|
||||
export type ChatType = {flow:FlowType,reactFlowInstance:ReactFlowInstance}
|
||||
export type ChatMessageType = { message: string; isSend: boolean, thought?:string }
|
||||
export type ChatType = { flow: FlowType; reactFlowInstance: ReactFlowInstance };
|
||||
export type ChatMessageType = {
|
||||
message: string;
|
||||
isSend: boolean;
|
||||
thought?: string;
|
||||
files?: Array<{ data: string; type: string; data_type: string }>;
|
||||
};
|
||||
|
|
|
|||
|
|
@ -65,3 +65,17 @@ export type FloatComponentType = {
|
|||
disabled?: boolean;
|
||||
onChange: (value: string) => void;
|
||||
};
|
||||
|
||||
export type TooltipComponentType={children:ReactElement,title:string,placement?:
|
||||
| 'bottom-end'
|
||||
| 'bottom-start'
|
||||
| 'bottom'
|
||||
| 'left-end'
|
||||
| 'left-start'
|
||||
| 'left'
|
||||
| 'right-end'
|
||||
| 'right-start'
|
||||
| 'right'
|
||||
| 'top-end'
|
||||
| 'top-start'
|
||||
| 'top';}
|
||||
|
|
@ -6,7 +6,6 @@ export type FlowType = {
|
|||
name: string;
|
||||
id: string;
|
||||
data: ReactFlowJsonObject;
|
||||
chat: Array<ChatMessageType>;
|
||||
description:string;
|
||||
};
|
||||
export type NodeType = {id:string,type:string,position:XYPosition,data:NodeDataType}
|
||||
|
|
|
|||
|
|
@ -6,12 +6,10 @@ export type TabsContextType = {
|
|||
setTabIndex: (index: number) => void;
|
||||
flows: Array<FlowType>;
|
||||
removeFlow: (id: string) => void;
|
||||
addFlow: (flowData?: any) => void;
|
||||
addFlow: (flowData?: FlowType) => void;
|
||||
updateFlow: (newFlow: FlowType) => void;
|
||||
incrementNodeId: () => number;
|
||||
downloadFlow: (flow:FlowType) => void;
|
||||
uploadFlow: () => void;
|
||||
lockChat:boolean;
|
||||
setLockChat:(prevState:boolean)=>void;
|
||||
hardReset:()=>void;
|
||||
};
|
||||
|
|
@ -78,7 +78,7 @@ export const nodeColors: {[char: string]: string} = {
|
|||
tools: "#FF3434",
|
||||
memories: "#F5B85A",
|
||||
advanced: "#000000",
|
||||
chat: "#454173",
|
||||
chat: "#198BF6",
|
||||
thought:"#272541",
|
||||
embeddings:"#42BAA7",
|
||||
documentloaders:"#7AAE42",
|
||||
|
|
|
|||
|
|
@ -52,11 +52,27 @@ module.exports = {
|
|||
margin: 0,
|
||||
},
|
||||
},
|
||||
".password": {
|
||||
"-webkit-text-security": "disc",
|
||||
"font-family": "text-security-disc",
|
||||
'.password':{
|
||||
"-webkit-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')
|
||||
],
|
||||
};
|
||||
|
|
|
|||
|
|
@ -1,4 +1,8 @@
|
|||
import json
|
||||
from pathlib import Path
|
||||
from typing import AsyncGenerator
|
||||
from httpx import AsyncClient
|
||||
|
||||
|
||||
import pytest
|
||||
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
|
||||
@pytest.fixture(scope="module")
|
||||
def client():
|
||||
|
|
@ -30,3 +43,37 @@ def client():
|
|||
|
||||
with TestClient(app) as 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")
|
||||
|
|
|
|||
|
|
@ -3,7 +3,7 @@ import tempfile
|
|||
from pathlib import Path
|
||||
|
||||
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
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -15,7 +15,7 @@ from langflow.graph.nodes import (
|
|||
ToolNode,
|
||||
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
|
||||
|
||||
# Test cases for the graph module
|
||||
|
|
@ -24,38 +24,6 @@ from langflow.utils.payload import build_json, get_root_node
|
|||
# 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]:
|
||||
"""Get a node by type"""
|
||||
return next((node for node in graph.nodes if isinstance(node, node_type)), None)
|
||||
|
|
@ -441,7 +409,7 @@ def test_get_result_and_thought(basic_graph):
|
|||
# now build again and check if FakeListLLM was used
|
||||
|
||||
# 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
|
||||
assert isinstance(result, str)
|
||||
# The thought should be a Thought
|
||||
|
|
|
|||
47
tests/test_websocket.py
Normal file
47
tests/test_websocket.py
Normal file
|
|
@ -0,0 +1,47 @@
|
|||
import json
|
||||
from unittest.mock import patch
|
||||
from langflow.api.schemas import ChatMessage
|
||||
from fastapi.testclient import TestClient
|
||||
|
||||
|
||||
def test_websocket_connection(client: TestClient):
|
||||
with client.websocket_connect("/ws/test_client") as websocket:
|
||||
assert websocket.scope["client"] == ["testclient", 50000]
|
||||
assert websocket.scope["path"] == "/ws/test_client"
|
||||
|
||||
|
||||
def test_chat_history(client: TestClient):
|
||||
chat_history = []
|
||||
|
||||
# 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("/ws/test_client") as websocket:
|
||||
# First message should be the history
|
||||
history = websocket.receive_json()
|
||||
assert json.loads(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 json.loads(response) == {
|
||||
"is_bot": True,
|
||||
"message": None,
|
||||
"intermediate_steps": "",
|
||||
"type": "start",
|
||||
}
|
||||
# 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 json.loads(response) == {
|
||||
"is_bot": True,
|
||||
"message": "Hello, I'm a mock response!",
|
||||
"intermediate_steps": "",
|
||||
"type": "end",
|
||||
}
|
||||
Loading…
Add table
Add a link
Reference in a new issue