diff --git a/.devcontainer/demo/README.md b/.devcontainer/demo/README.md new file mode 100644 index 000000000..d0ad14f9e --- /dev/null +++ b/.devcontainer/demo/README.md @@ -0,0 +1,15 @@ +# LangFlow Demo Codespace Readme + +These instructions will walk you through the process of running a LangFlow demo via GitHub Codespaces. + +## Setup + +### Create a Codespace in GitHub + +To setup the demo, simply navigate to the Langflow repo, click the "+" button, and select "Create new Codespace". This will automatically create a new codespace in your browser, which you can use for the demo. + +### Wait for everything to install + +After the codespace is opened, you should see a new Terminal window in VS Code where langflow is installed. Once the install completes, `langflow` will launch the webserver and your application will be available via devcontainer port. + +Note: VS Code should prompt you with a button to push once the port is available. diff --git a/.devcontainer/demo/devcontainer.json b/.devcontainer/demo/devcontainer.json new file mode 100644 index 000000000..1febd3cf5 --- /dev/null +++ b/.devcontainer/demo/devcontainer.json @@ -0,0 +1,32 @@ +// For format details, see https://aka.ms/devcontainer.json. For config options, see the +// README at: https://github.com/devcontainers/templates/tree/main/src/universal +{ + "name": "LangChain Demo Container", + // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile + "image": "mcr.microsoft.com/devcontainers/python:3.10", + "features": { + "ghcr.io/devcontainers/features/aws-cli:1": {}, + "ghcr.io/devcontainers/features/docker-in-docker": {}, + "ghcr.io/devcontainers/features/node": {} + }, + "customizations": { + "vscode": { + "extensions": [ + "actboy168.tasks", + "GitHub.copilot", + "ms-python.python", + "eamodio.gitlens" + ] + } + }, + // Features to add to the dev container. More info: https://containers.dev/features. + // "features": {}, + // Use 'forwardPorts' to make a list of ports inside the container available locally. + // "forwardPorts": [], + // Use 'postCreateCommand' to run commands after the container is created. + "postCreateCommand": "pipx install 'langflow>=0.0.33' && langflow --host 0.0.0.0" + // Configure tool-specific properties. + // "customizations": {}, + // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. + // "remoteUser": "root" +} \ No newline at end of file diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index 5e73fbd62..282ff4ad3 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -1,11 +1,12 @@ // For format details, see https://aka.ms/devcontainer.json. For config options, see the // README at: https://github.com/devcontainers/templates/tree/main/src/universal { - "name": "Default Linux Universal", + "name": "LangChain Dev Container", // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile "image": "mcr.microsoft.com/devcontainers/universal:2-linux", "features": { - "ghcr.io/devcontainers/features/aws-cli:1": {} + "ghcr.io/devcontainers/features/aws-cli:1": {}, + "ghcr.io/devcontainers/features/docker-in-docker": {} }, "customizations": { "vscode": {"extensions": [ @@ -15,7 +16,7 @@ "sourcery.sourcery", "eamodio.gitlens" ]} - } + }, // Features to add to the dev container. More info: https://containers.dev/features. // "features": {}, @@ -24,7 +25,7 @@ // "forwardPorts": [], // Use 'postCreateCommand' to run commands after the container is created. - // "postCreateCommand": "uname -a", + "postCreateCommand": "poetry install" // Configure tool-specific properties. // "customizations": {}, diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 52109f944..d22ebc755 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -30,4 +30,4 @@ jobs: run: poetry install - name: Run unit tests run: | - make test + make tests diff --git a/Makefile b/Makefile index 328ac8580..a2e49ee98 100644 --- a/Makefile +++ b/Makefile @@ -1,4 +1,4 @@ -.PHONY: all format lint build +.PHONY: all format lint build build_frontend install_frontend run_frontend run_backend dev help tests coverage all: help @@ -8,7 +8,7 @@ coverage: --cov-report xml \ --cov-report term-missing:skip-covered -test: +tests: poetry run pytest tests format: @@ -26,8 +26,15 @@ install_frontend: run_frontend: cd src/frontend && npm start -run_backend: - poetry run uvicorn langflow.main:app --port 5003 --reload +frontend: + make install_frontend + make run_frontend + +install_backend: + poetry install + +backend: + poetry run uvicorn langflow.main:app --port 7860 --reload --log-level debug build_frontend: cd src/frontend && CI='' npm run build @@ -64,3 +71,6 @@ help: @echo 'build - build the frontend static files and package the project' @echo 'publish - build the frontend static files and package the project and publish it to PyPI' @echo 'dev - run the project in development mode with docker compose' + @echo 'tests - run the tests' + @echo 'coverage - run the tests and generate a coverage report' + @echo '----' diff --git a/README.md b/README.md index 3be5d99a9..a4e1c8868 100644 --- a/README.md +++ b/README.md @@ -5,6 +5,7 @@ ~ A User Interface For [LangChain](https://github.com/hwchase17/langchain) ~

+HuggingFace Spaces GitHub Contributors GitHub Last Commit @@ -22,11 +23,28 @@ LangFlow is a GUI for [LangChain](https://github.com/hwchase17/langchain), desig ### Locally You can install LangFlow from pip: -`pip install langflow` +```shell +pip install langflow +``` Next, run: -`langflow` +```shell +python -m langflow +``` +or +```shell +langflow +``` + +### Deploy Langflow on Google Cloud Platform + +Follow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP) using Google Cloud Shell. The guide is available in the [**Langflow in Google Cloud Platform**](GCP_DEPLOYMENT.md) document. + +Alternatively, click the **"Open in Cloud Shell"** button below to launch Google Cloud Shell, clone the Langflow repository, and start an **interactive tutorial** that will guide you through the process of setting up the necessary resources and deploying Langflow on your GCP project. + +[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/genome21/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial_spot.md) + ### Deploy Langflow on Google Cloud Platform diff --git a/build_and_push b/build_and_push deleted file mode 100755 index e9c9edf14..000000000 --- a/build_and_push +++ /dev/null @@ -1,11 +0,0 @@ -#! /bin/bash - -cd src/frontend -docker build -t logspace/frontend_build -f build.Dockerfile . -cd ../backend -docker build -t logspace/backend_build -f build.Dockerfile . - -cd ../../ -VERSION=$(toml get --toml-path pyproject.toml tool.poetry.version) -docker build --build-arg VERSION=$VERSION -t ibiscp/langflow:$VERSION . -docker push ibiscp/langflow:$VERSION diff --git a/package-lock.json b/package-lock.json new file mode 100644 index 000000000..6d722a3cc --- /dev/null +++ b/package-lock.json @@ -0,0 +1,6 @@ +{ + "name": "reactFlow", + "lockfileVersion": 3, + "requires": true, + "packages": {} +} diff --git a/poetry.lock b/poetry.lock index 5361880ee..2f42ef3ff 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.4.0 and should not be changed by hand. 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google-api-python-client = "^2.79.0" typer = "^0.7.0" gunicorn = "^20.1.0" -langchain = "^0.0.131" +langchain = "^0.0.166" openai = "^0.27.2" types-pyyaml = "^6.0.12.8" dill = "^0.3.6" @@ -45,7 +45,12 @@ lxml = "^4.9.2" pysrt = "^1.1.2" fake-useragent = "^1.1.3" docstring-parser = "^0.15" -psycopg2 = "^2.9.6" +psycopg2-binary = "^2.9.6" +pyarrow = "^11.0.0" +websockets = "^11.0.2" +tiktoken = "^0.3.3" +wikipedia = "^1.4.0" +gptcache = "^0.1.23" [tool.poetry.group.dev.dependencies] black = "^23.1.0" @@ -56,6 +61,10 @@ httpx = "^0.23.3" pytest = "^7.2.2" types-requests = "^2.28.11" requests = "^2.28.0" +pytest-cov = "^4.0.0" +pandas-stubs = "^2.0.0.230412" +types-pillow = "^9.5.0.2" + [tool.ruff] line-length = 120 diff --git a/src/backend/build.Dockerfile b/src/backend/build.Dockerfile deleted file mode 100644 index 42452c691..000000000 --- a/src/backend/build.Dockerfile +++ /dev/null @@ -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 & $POETRY_HOME -RUN curl -sSL https://install.python-poetry.org | python3 - - -# copy project requirement files here to ensure they will be cached. -WORKDIR /app -COPY poetry.lock pyproject.toml ./ -COPY langflow/ ./langflow - -# poetry install -RUN poetry install --without dev - -# build wheel -RUN poetry build -f wheel diff --git a/src/backend/build_and_push b/src/backend/build_and_push deleted file mode 100755 index d70366d72..000000000 --- a/src/backend/build_and_push +++ /dev/null @@ -1,6 +0,0 @@ -#! /bin/bash - -docker build -t logspace/backend_build -f build.Dockerfile . -VERSION=$(toml get --toml-path pyproject.toml tool.poetry.version) -docker build --build-arg VERSION=$VERSION -t ibiscp/langflow:$VERSION . -docker push ibiscp/langflow:$VERSION diff --git a/src/backend/langflow/__init__.py b/src/backend/langflow/__init__.py index 1be5464c2..35fe814d2 100644 --- a/src/backend/langflow/__init__.py +++ b/src/backend/langflow/__init__.py @@ -1 +1,4 @@ -from langflow.interface.loading import load_flow_from_json # noqa +from langflow.cache import cache_manager +from langflow.interface.loading import load_flow_from_json + +__all__ = ["load_flow_from_json", "cache_manager"] diff --git a/src/backend/langflow/api/base.py b/src/backend/langflow/api/base.py index 084e04d65..8cddc52e4 100644 --- a/src/backend/langflow/api/base.py +++ b/src/backend/langflow/api/base.py @@ -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 diff --git a/src/backend/langflow/api/callback.py b/src/backend/langflow/api/callback.py new file mode 100644 index 000000000..d63e107c4 --- /dev/null +++ b/src/backend/langflow/api/callback.py @@ -0,0 +1,32 @@ +import asyncio +from typing import Any + +from langchain.callbacks.base import AsyncCallbackHandler, BaseCallbackHandler + +from langflow.api.schemas import ChatResponse + + +# https://github.com/hwchase17/chat-langchain/blob/master/callback.py +class AsyncStreamingLLMCallbackHandler(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()) + + +class StreamingLLMCallbackHandler(BaseCallbackHandler): + """Callback handler for streaming LLM responses.""" + + def __init__(self, websocket): + self.websocket = websocket + + def on_llm_new_token(self, token: str, **kwargs: Any) -> None: + resp = ChatResponse(message=token, type="stream", intermediate_steps="") + + loop = asyncio.get_event_loop() + coroutine = self.websocket.send_json(resp.dict()) + asyncio.run_coroutine_threadsafe(coroutine, loop) diff --git a/src/backend/langflow/api/chat.py b/src/backend/langflow/api/chat.py new file mode 100644 index 000000000..4afa6c22f --- /dev/null +++ b/src/backend/langflow/api/chat.py @@ -0,0 +1,26 @@ +from fastapi import ( + APIRouter, + WebSocket, + WebSocketDisconnect, + WebSocketException, + status, +) + +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 WebSocketException as exc: + logger.error(exc) + await websocket.close(code=status.WS_1011_INTERNAL_ERROR, reason=str(exc)) + except WebSocketDisconnect as exc: + logger.error(exc) + await websocket.close(code=status.WS_1000_NORMAL_CLOSURE, reason=str(exc)) diff --git a/src/backend/langflow/api/chat_manager.py b/src/backend/langflow/api/chat_manager.py new file mode 100644 index 000000000..3636a94f3 --- /dev/null +++ b/src/backend/langflow/api/chat_manager.py @@ -0,0 +1,221 @@ +import asyncio +import json +from collections import defaultdict +from typing import Dict, List + +from fastapi import WebSocket, status + +from langflow.api.schemas import ChatMessage, ChatResponse, FileResponse +from langflow.cache import cache_manager +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 + + +class ChatHistory(Subject): + def __init__(self): + super().__init__() + self.history: Dict[str, List[ChatMessage]] = defaultdict(list) + + def add_message(self, client_id: str, message: ChatMessage): + """Add a message to the chat history.""" + + self.history[client_id].append(message) + + if not isinstance(message, FileResponse): + self.notify() + + def get_history(self, client_id: str, filter=True) -> List[ChatMessage]: + """Get the chat history for a client.""" + if history := self.history.get(client_id, []): + if filter: + return [msg for msg in history if msg.type not in ["start", "stream"]] + return history + else: + return [] + + def empty_history(self, client_id: str): + """Empty the chat history for a client.""" + self.history[client_id] = [] + + +class ChatManager: + def __init__(self): + self.active_connections: Dict[str, WebSocket] = {} + self.chat_history = ChatHistory() + self.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): + self.active_connections.pop(client_id, None) + + 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="") + await self.send_json(client_id, start_resp) + + is_first_message = len(self.chat_history.get_history(client_id=client_id)) == 0 + # Generate result and thought + try: + logger.debug("Generating result and thought") + + result, intermediate_steps = await process_graph( + graph_data=graph_data, + is_first_message=is_first_message, + chat_message=chat_message, + websocket=self.active_connections[client_id], + ) + except Exception as e: + # Log stack trace + logger.exception(e) + self.chat_history.empty_history(client_id) + raise e + # Send a response back to the frontend, if needed + intermediate_steps = intermediate_steps or "" + history = self.chat_history.get_history(client_id, filter=False) + file_responses = [] + if history: + # Iterate backwards through the history + for msg in reversed(history): + if isinstance(msg, FileResponse): + if msg.data_type == "image": + # Base64 encode the image + msg.data = pil_to_base64(msg.data) + file_responses.append(msg) + if msg.type == "start": + break + + response = ChatResponse( + message=result, + intermediate_steps=intermediate_steps.strip(), + type="end", + files=file_responses, + ) + await self.send_json(client_id, response) + 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.active_connections[client_id].close( + code=status.WS_1011_INTERNAL_ERROR, reason=str(e)[:120] + ) + self.disconnect(client_id) + finally: + try: + connection = self.active_connections.get(client_id) + if connection: + await connection.close(code=1000, reason="Client disconnected") + self.disconnect(client_id) + except Exception as e: + logger.exception(e) + 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 = await get_result_and_steps( + langchain_object, chat_message.message or "", websocket=websocket + ) + logger.debug("Generated result and intermediate_steps") + return result, intermediate_steps + except Exception as e: + # Log stack trace + logger.exception(e) + raise e diff --git a/src/backend/langflow/api/endpoints.py b/src/backend/langflow/api/endpoints.py index b8290e691..eae0e9f60 100644 --- a/src/backend/langflow/api/endpoints.py +++ b/src/backend/langflow/api/endpoints.py @@ -1,8 +1,13 @@ import logging -from typing import Any, Dict from fastapi import APIRouter, HTTPException +from langflow.api.schemas import ( + ExportedFlow, + GraphData, + PredictRequest, + PredictResponse, +) from langflow.interface.run import process_graph_cached from langflow.interface.types import build_langchain_types_dict @@ -16,10 +21,14 @@ def get_all(): return build_langchain_types_dict() -@router.post("/predict") -def get_load(data: Dict[str, Any]): +@router.post("/predict", response_model=PredictResponse) +async def get_load(predict_request: PredictRequest): try: - return process_graph_cached(data) + exported_flow: ExportedFlow = predict_request.exported_flow + graph_data: GraphData = exported_flow.data + data = graph_data.dict() + response = process_graph_cached(data, predict_request.message) + return PredictResponse(result=response.get("result", "")) except Exception as e: # Log stack trace logger.exception(e) diff --git a/src/backend/langflow/api/schemas.py b/src/backend/langflow/api/schemas.py new file mode 100644 index 000000000..f73b0642d --- /dev/null +++ b/src/backend/langflow/api/schemas.py @@ -0,0 +1,70 @@ +from typing import Any, Dict, List, Union + +from pydantic import BaseModel, validator + + +class GraphData(BaseModel): + """Data inside the exported flow.""" + + nodes: List[Dict[str, Any]] + edges: List[Dict[str, Any]] + + +class ExportedFlow(BaseModel): + """Exported flow from LangFlow.""" + + description: str + name: str + id: str + data: GraphData + + +class PredictRequest(BaseModel): + """Predict request schema.""" + + message: str + exported_flow: ExportedFlow + + +class PredictResponse(BaseModel): + """Predict response schema.""" + + result: str + + +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 diff --git a/src/backend/langflow/api/validate.py b/src/backend/langflow/api/validate.py index a60bcc506..de50896cb 100644 --- a/src/backend/langflow/api/validate.py +++ b/src/backend/langflow/api/validate.py @@ -1,3 +1,5 @@ +import json + from fastapi import APIRouter, HTTPException from langflow.api.base import ( @@ -7,6 +9,8 @@ from langflow.api.base import ( PromptValidationResponse, validate_prompt, ) +from langflow.graph.nodes import VectorStoreNode +from langflow.interface.run import build_graph from langflow.utils.logger import logger from langflow.utils.validate import validate_code @@ -33,3 +37,21 @@ def post_validate_prompt(prompt: Prompt): except Exception as e: logger.exception(e) raise HTTPException(status_code=500, detail=str(e)) from e + + +# validate node +@router.post("/node/{node_id}", status_code=200) +def post_validate_node(node_id: str, data: dict): + try: + # build graph + graph = build_graph(data) + # validate node + node = graph.get_node(node_id) + if node is None: + raise ValueError(f"Node {node_id} not found") + if not isinstance(node, VectorStoreNode): + node.build() + return json.dumps({"valid": True, "params": str(node._built_object_repr())}) + except Exception as e: + logger.exception(e) + return json.dumps({"valid": False}) diff --git a/src/backend/langflow/cache/__init__.py b/src/backend/langflow/cache/__init__.py index e69de29bb..583d5ac6d 100644 --- a/src/backend/langflow/cache/__init__.py +++ b/src/backend/langflow/cache/__init__.py @@ -0,0 +1 @@ +from langflow.cache.manager import cache_manager # noqa diff --git a/src/backend/langflow/cache/utils.py b/src/backend/langflow/cache/base.py similarity index 94% rename from src/backend/langflow/cache/utils.py rename to src/backend/langflow/cache/base.py index 310f3be80..1f2039b27 100644 --- a/src/backend/langflow/cache/utils.py +++ b/src/backend/langflow/cache/base.py @@ -7,9 +7,12 @@ import os import tempfile from collections import OrderedDict from pathlib import Path +from typing import Any, Dict import dill # type: ignore +CACHE: Dict[str, Any] = {} + def create_cache_folder(func): def wrapper(*args, **kwargs): @@ -44,7 +47,8 @@ def memoize_dict(maxsize=128): def clear_cache(): cache.clear() - wrapper.clear_cache = clear_cache + wrapper.clear_cache = clear_cache # type: ignore + wrapper.cache = cache # type: ignore return wrapper return decorator @@ -116,7 +120,8 @@ def save_binary_file(content: str, file_name: str, accepted_types: list[str]) -> # Get the destination folder cache_path = Path(tempfile.gettempdir()) / PREFIX - + if content is None: + raise ValueError("Please, reload the file in the loader.") data = content.split(",")[1] decoded_bytes = base64.b64decode(data) diff --git a/src/backend/langflow/cache/manager.py b/src/backend/langflow/cache/manager.py new file mode 100644 index 000000000..947f5ce21 --- /dev/null +++ b/src/backend/langflow/cache/manager.py @@ -0,0 +1,150 @@ +from contextlib import contextmanager +from typing import Any, Awaitable, Callable, List, Optional + +import pandas as pd +from PIL import Image + + +class Subject: + """Base class for implementing the observer pattern.""" + + def __init__(self): + self.observers: List[Callable[[], None]] = [] + + def attach(self, observer: Callable[[], None]): + """Attach an observer to the subject.""" + self.observers.append(observer) + + def detach(self, observer: Callable[[], None]): + """Detach an observer from the subject.""" + self.observers.remove(observer) + + def notify(self): + """Notify all observers about an event.""" + for observer in self.observers: + if observer is None: + continue + observer() + + +class AsyncSubject: + """Base class for implementing the async observer pattern.""" + + def __init__(self): + self.observers: List[Callable[[], Awaitable]] = [] + + def attach(self, observer: Callable[[], Awaitable]): + """Attach an observer to the subject.""" + self.observers.append(observer) + + def detach(self, observer: Callable[[], Awaitable]): + """Detach an observer from the subject.""" + self.observers.remove(observer) + + async def notify(self): + """Notify all observers about an event.""" + for observer in self.observers: + if observer is None: + continue + await observer() + + +class CacheManager(Subject): + """Manages cache for different clients and notifies observers on changes.""" + + def __init__(self): + super().__init__() + self.CACHE = {} + self.current_client_id = None + self.current_cache = {} + + @contextmanager + def set_client_id(self, client_id: str): + """ + Context manager to set the current client_id and associated cache. + + Args: + client_id (str): The client identifier. + """ + previous_client_id = self.current_client_id + self.current_client_id = client_id + self.current_cache = self.CACHE.setdefault(client_id, {}) + try: + yield + finally: + self.current_client_id = previous_client_id + self.current_cache = self.CACHE.get(self.current_client_id, {}) + + def add(self, name: str, obj: Any, obj_type: str, extension: Optional[str] = None): + """ + Add an object to the current client's cache. + + Args: + name (str): The cache key. + obj (Any): The object to cache. + obj_type (str): The type of the object. + """ + object_extensions = { + "image": "png", + "pandas": "csv", + } + if obj_type in object_extensions: + _extension = object_extensions[obj_type] + else: + _extension = type(obj).__name__.lower() + self.current_cache[name] = { + "obj": obj, + "type": obj_type, + "extension": extension or _extension, + } + self.notify() + + def add_pandas(self, name: str, obj: Any): + """ + Add a pandas DataFrame or Series to the current client's cache. + + Args: + name (str): The cache key. + obj (Any): The pandas DataFrame or Series object. + """ + if isinstance(obj, (pd.DataFrame, pd.Series)): + self.add(name, obj.to_csv(), "pandas", extension="csv") + else: + raise ValueError("Object is not a pandas DataFrame or Series") + + def add_image(self, name: str, obj: Any, extension: str = "png"): + """ + Add a PIL Image to the current client's cache. + + Args: + name (str): The cache key. + obj (Any): The PIL Image object. + """ + if isinstance(obj, Image.Image): + self.add(name, obj, "image", extension=extension) + else: + raise ValueError("Object is not a PIL Image") + + def get(self, name: str): + """ + Get an object from the current client's cache. + + Args: + name (str): The cache key. + + Returns: + The cached object associated with the given cache key. + """ + return self.current_cache[name] + + def get_last(self): + """ + Get the last added item in the current client's cache. + + Returns: + The last added item in the cache. + """ + return list(self.current_cache.values())[-1] + + +cache_manager = CacheManager() diff --git a/src/backend/langflow/config.yaml b/src/backend/langflow/config.yaml index 7f00167b4..84fd12fcd 100644 --- a/src/backend/langflow/config.yaml +++ b/src/backend/langflow/config.yaml @@ -6,6 +6,7 @@ chains: - SeriesCharacterChain - MidJourneyPromptChain - TimeTravelGuideChain + - SQLDatabaseChain agents: - ZeroShotAgent @@ -40,6 +41,28 @@ tools: - Tool - PythonFunction - JsonSpec + - News API + - TMDB API + - Podcast API + - QuerySQLDataBaseTool + - InfoSQLDatabaseTool + - ListSQLDatabaseTool + # - QueryCheckerTool + - BingSearchRun + - GoogleSearchRun + - GoogleSearchResults + - GoogleSerperRun + - JsonListKeysTool + - JsonGetValueTool + - PythonREPLTool + - PythonAstREPLTool + - RequestsGetTool + - RequestsPostTool + - RequestsPatchTool + - RequestsPutTool + - RequestsDeleteTool + - WikipediaQueryRun + - WolframAlphaQueryRun wrappers: - RequestsWrapper @@ -91,4 +114,16 @@ documentloaders: textsplitters: - CharacterTextSplitter +utilities: + - BingSearchAPIWrapper + - GoogleSearchAPIWrapper + - GoogleSerperAPIWrapper + - SearxResults + - SearxSearchWrapper + - SerpAPIWrapper + - WikipediaAPIWrapper + - WolframAlphaAPIWrapper + # - ZapierNLAWrapper + - SQLDatabase + dev: false diff --git a/src/backend/langflow/custom/customs.py b/src/backend/langflow/custom/customs.py index e77b81ec6..2b2ccc43f 100644 --- a/src/backend/langflow/custom/customs.py +++ b/src/backend/langflow/custom/customs.py @@ -12,6 +12,14 @@ CUSTOM_NODES = { "VectorStoreRouterAgent": nodes.VectorStoreRouterAgentNode(), "SQLAgent": nodes.SQLAgentNode(), }, + "utilities": { + "SQLDatabase": nodes.SQLDatabaseNode(), + }, + "chains": { + "SeriesCharacterChain": nodes.SeriesCharacterChainNode(), + "TimeTravelGuideChain": nodes.TimeTravelGuideChainNode(), + "MidJourneyPromptChain": nodes.MidJourneyPromptChainNode(), + }, } diff --git a/src/backend/langflow/graph/base.py b/src/backend/langflow/graph/base.py index ff586c6da..976a9c1cf 100644 --- a/src/backend/langflow/graph/base.py +++ b/src/backend/langflow/graph/base.py @@ -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 +160,21 @@ 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( @@ -202,7 +212,11 @@ class Node: "VectorStoreRouterAgent", "VectorStoreAgent", "VectorStoreInfo", - ] or self.node_type in ["VectorStoreInfo", "VectorStoreRouterToolkit"]: + ] or self.node_type in [ + "VectorStoreInfo", + "VectorStoreRouterToolkit", + "SQLDatabase", + ]: return self._built_object return deepcopy(self._built_object) @@ -218,6 +232,9 @@ class Node: def __hash__(self) -> int: return id(self) + def _built_object_repr(self): + return repr(self._built_object) + class Edge: def __init__(self, source: "Node", target: "Node"): diff --git a/src/backend/langflow/graph/nodes.py b/src/backend/langflow/graph/nodes.py index 7296a0c0d..79930487a 100644 --- a/src/backend/langflow/graph/nodes.py +++ b/src/backend/langflow/graph/nodes.py @@ -101,6 +101,10 @@ class ChainNode(Node): self.params[key] = value.build(tools=tools, force=force) self._build() + + #! Cannot deepcopy SQLDatabaseChain + if self.node_type in ["SQLDatabaseChain"]: + return self._built_object return deepcopy(self._built_object) @@ -135,6 +139,13 @@ class DocumentLoaderNode(Node): def __init__(self, data: Dict): super().__init__(data, base_type="documentloaders") + def _built_object_repr(self): + # This built_object is a list of documents. Maybe we should + # show how many documents are in the list? + if self._built_object: + return f"""{self.node_type}({len(self._built_object)} documents)\nDocuments: {self._built_object[:3]}...""" + return f"{self.node_type}()" + class EmbeddingNode(Node): def __init__(self, data: Dict): @@ -145,6 +156,9 @@ class VectorStoreNode(Node): def __init__(self, data: Dict): super().__init__(data, base_type="vectorstores") + def _built_object_repr(self): + return "Vector stores can take time to build. It will build on the first query." + class MemoryNode(Node): def __init__(self, data: Dict): @@ -154,3 +168,10 @@ class MemoryNode(Node): class TextSplitterNode(Node): def __init__(self, data: Dict): super().__init__(data, base_type="textsplitters") + + def _built_object_repr(self): + # This built_object is a list of documents. Maybe we should + # show how many documents are in the list? + if self._built_object: + return f"""{self.node_type}({len(self._built_object)} documents)\nDocuments: {self._built_object[:3]}...""" + return f"{self.node_type}()" diff --git a/src/backend/langflow/interface/agents/custom.py b/src/backend/langflow/interface/agents/custom.py index 851bd2af8..d85ba8a56 100644 --- a/src/backend/langflow/interface/agents/custom.py +++ b/src/backend/langflow/interface/agents/custom.py @@ -1,3 +1,4 @@ +from abc import ABC from typing import Any, List, Optional from langchain import LLMChain @@ -26,15 +27,32 @@ from langchain.agents.agent_toolkits.vectorstore.prompt import ( ) from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS as SQL_FORMAT_INSTRUCTIONS -from langchain.llms.base import BaseLLM +from langchain.base_language import BaseLanguageModel from langchain.memory.chat_memory import BaseChatMemory -from langchain.schema import BaseLanguageModel from langchain.sql_database import SQLDatabase from langchain.tools.python.tool import PythonAstREPLTool from langchain.tools.sql_database.prompt import QUERY_CHECKER -class JsonAgent(AgentExecutor): +class CustomAgentExecutor(AgentExecutor, ABC): + """Custom agent executor""" + + @staticmethod + def function_name(): + return "CustomAgentExecutor" + + @classmethod + def initialize(cls, *args, **kwargs): + pass + + def __init__(self, *args, **kwargs): + super().__init__(*args, **kwargs) + + def run(self, *args, **kwargs): + return super().run(*args, **kwargs) + + +class JsonAgent(CustomAgentExecutor): """Json agent""" @staticmethod @@ -51,7 +69,7 @@ class JsonAgent(AgentExecutor): @classmethod def from_toolkit_and_llm(cls, toolkit: JsonToolkit, llm: BaseLanguageModel): tools = toolkit.get_tools() - tool_names = [tool.name for tool in tools] + tool_names = {tool.name for tool in tools} prompt = ZeroShotAgent.create_prompt( tools, prefix=JSON_PREFIX, @@ -63,14 +81,14 @@ class JsonAgent(AgentExecutor): llm=llm, prompt=prompt, ) - agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names) + agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names) # type: ignore return cls.from_agent_and_tools(agent=agent, tools=tools, verbose=True) def run(self, *args, **kwargs): return super().run(*args, **kwargs) -class CSVAgent(AgentExecutor): +class CSVAgent(CustomAgentExecutor): """CSV agent""" @staticmethod @@ -109,8 +127,8 @@ class CSVAgent(AgentExecutor): llm=llm, prompt=partial_prompt, ) - tool_names = [tool.name for tool in tools] - agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs) + tool_names = {tool.name for tool in tools} + agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs) # type: ignore return cls.from_agent_and_tools(agent=agent, tools=tools, verbose=True) @@ -118,7 +136,7 @@ class CSVAgent(AgentExecutor): return super().run(*args, **kwargs) -class VectorStoreAgent(AgentExecutor): +class VectorStoreAgent(CustomAgentExecutor): """Vector Store agent""" @staticmethod @@ -134,7 +152,7 @@ class VectorStoreAgent(AgentExecutor): @classmethod def from_toolkit_and_llm( - cls, llm: BaseLLM, vectorstoreinfo: VectorStoreInfo, **kwargs: Any + cls, llm: BaseLanguageModel, vectorstoreinfo: VectorStoreInfo, **kwargs: Any ): """Construct a vectorstore agent from an LLM and tools.""" @@ -146,8 +164,8 @@ class VectorStoreAgent(AgentExecutor): llm=llm, prompt=prompt, ) - tool_names = [tool.name for tool in tools] - agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs) + tool_names = {tool.name for tool in tools} + agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs) # type: ignore return AgentExecutor.from_agent_and_tools( agent=agent, tools=tools, verbose=True ) @@ -156,7 +174,7 @@ class VectorStoreAgent(AgentExecutor): return super().run(*args, **kwargs) -class SQLAgent(AgentExecutor): +class SQLAgent(CustomAgentExecutor): """SQL agent""" @staticmethod @@ -171,10 +189,12 @@ class SQLAgent(AgentExecutor): super().__init__(*args, **kwargs) @classmethod - def from_toolkit_and_llm(cls, llm: BaseLLM, database_uri: str, **kwargs: Any): + def from_toolkit_and_llm( + cls, llm: BaseLanguageModel, database_uri: str, **kwargs: Any + ): """Construct a sql agent from an LLM and tools.""" db = SQLDatabase.from_uri(database_uri) - toolkit = SQLDatabaseToolkit(db=db) + toolkit = SQLDatabaseToolkit(db=db, llm=llm) # The right code should be this, but there is a problem with tools = toolkit.get_tools() # related to `OPENAI_API_KEY` @@ -212,8 +232,8 @@ class SQLAgent(AgentExecutor): llm=llm, prompt=prompt, ) - tool_names = [tool.name for tool in tools] # type: ignore - agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs) + tool_names = {tool.name for tool in tools} # type: ignore + agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs) # type: ignore return AgentExecutor.from_agent_and_tools( agent=agent, tools=tools, # type: ignore @@ -226,7 +246,7 @@ class SQLAgent(AgentExecutor): return super().run(*args, **kwargs) -class VectorStoreRouterAgent(AgentExecutor): +class VectorStoreRouterAgent(CustomAgentExecutor): """Vector Store Router Agent""" @staticmethod @@ -255,8 +275,8 @@ class VectorStoreRouterAgent(AgentExecutor): llm=llm, prompt=prompt, ) - tool_names = [tool.name for tool in tools] - agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs) + tool_names = {tool.name for tool in tools} + agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names, **kwargs) # type: ignore return AgentExecutor.from_agent_and_tools( agent=agent, tools=tools, verbose=True ) @@ -265,7 +285,7 @@ class VectorStoreRouterAgent(AgentExecutor): return super().run(*args, **kwargs) -class InitializeAgent(AgentExecutor): +class InitializeAgent(CustomAgentExecutor): """Implementation of initialize_agent function""" @staticmethod @@ -274,7 +294,11 @@ class InitializeAgent(AgentExecutor): @classmethod def initialize( - cls, llm: BaseLLM, tools: List[Tool], agent: str, memory: BaseChatMemory + cls, + llm: BaseLanguageModel, + tools: List[Tool], + agent: str, + memory: Optional[BaseChatMemory] = None, ): return initialize_agent( tools=tools, diff --git a/src/backend/langflow/interface/agents/prebuilt.py b/src/backend/langflow/interface/agents/prebuilt.py index e20ec3bde..5b81b7713 100644 --- a/src/backend/langflow/interface/agents/prebuilt.py +++ b/src/backend/langflow/interface/agents/prebuilt.py @@ -3,7 +3,7 @@ from langchain.agents import AgentExecutor, ZeroShotAgent from langchain.agents.agent_toolkits.json.prompt import JSON_PREFIX, JSON_SUFFIX from langchain.agents.agent_toolkits.json.toolkit import JsonToolkit from langchain.agents.mrkl.prompt import FORMAT_INSTRUCTIONS -from langchain.schema import BaseLanguageModel +from langchain.base_language import BaseLanguageModel class MalfoyAgent(AgentExecutor): @@ -21,7 +21,7 @@ class MalfoyAgent(AgentExecutor): @classmethod def from_toolkit_and_llm(cls, toolkit: JsonToolkit, llm: BaseLanguageModel): tools = toolkit.get_tools() - tool_names = [tool.name for tool in tools] + tool_names = {tool.name for tool in tools} prompt = ZeroShotAgent.create_prompt( tools, prefix=JSON_PREFIX, @@ -33,7 +33,7 @@ class MalfoyAgent(AgentExecutor): llm=llm, prompt=prompt, ) - agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names) + agent = ZeroShotAgent(llm_chain=llm_chain, allowed_tools=tool_names) # type: ignore return cls.from_agent_and_tools(agent=agent, tools=tools, verbose=True) def run(self, *args, **kwargs): diff --git a/src/backend/langflow/interface/chains/base.py b/src/backend/langflow/interface/chains/base.py index 9dc8ded3f..7b8da370b 100644 --- a/src/backend/langflow/interface/chains/base.py +++ b/src/backend/langflow/interface/chains/base.py @@ -37,7 +37,9 @@ class ChainCreator(LangChainTypeCreator): try: if name in get_custom_nodes(self.type_name).keys(): return get_custom_nodes(self.type_name)[name] - return build_template_from_class(name, self.type_to_loader_dict) + return build_template_from_class( + name, self.type_to_loader_dict, add_function=True + ) except ValueError as exc: raise ValueError("Chain not found") from exc except AttributeError as exc: diff --git a/src/backend/langflow/interface/custom_lists.py b/src/backend/langflow/interface/custom_lists.py index 2ffc18b14..f07b03f04 100644 --- a/src/backend/langflow/interface/custom_lists.py +++ b/src/backend/langflow/interface/custom_lists.py @@ -9,10 +9,12 @@ from langchain import ( memory, requests, text_splitter, + utilities, vectorstores, ) from langchain.agents import agent_toolkits from langchain.chat_models import ChatOpenAI +from langchain.sql_database import SQLDatabase from langflow.interface.importing.utils import import_class @@ -76,3 +78,9 @@ documentloaders_type_to_cls_dict: dict[str, Any] = { textsplitter_type_to_cls_dict: dict[str, Any] = dict( inspect.getmembers(text_splitter, inspect.isclass) ) + +## Utilities +utility_type_to_cls_dict: dict[str, Any] = dict( + inspect.getmembers(utilities, inspect.isclass) +) +utility_type_to_cls_dict["SQLDatabase"] = SQLDatabase diff --git a/src/backend/langflow/interface/importing/utils.py b/src/backend/langflow/interface/importing/utils.py index a3480928e..8c65bf60e 100644 --- a/src/backend/langflow/interface/importing/utils.py +++ b/src/backend/langflow/interface/importing/utils.py @@ -5,13 +5,11 @@ from typing import Any, Type from langchain import PromptTemplate from langchain.agents import Agent +from langchain.base_language import BaseLanguageModel from langchain.chains.base import Chain from langchain.chat_models.base import BaseChatModel -from langchain.llms.base import BaseLLM from langchain.tools import BaseTool -from langflow.interface.tools.util import get_tool_by_name - def import_module(module_path: str) -> Any: """Import module from module path""" @@ -44,6 +42,7 @@ def import_by_type(_type: str, name: str) -> Any: "vectorstores": import_vectorstore, "documentloaders": import_documentloader, "textsplitters": import_textsplitter, + "utilities": import_utility, } if _type == "llms": key = "chat" if "chat" in name.lower() else "llm" @@ -99,15 +98,19 @@ def import_agent(agent: str) -> Agent: return import_class(f"langchain.agents.{agent}") -def import_llm(llm: str) -> BaseLLM: +def import_llm(llm: str) -> BaseLanguageModel: """Import llm from llm name""" return import_class(f"langchain.llms.{llm}") def import_tool(tool: str) -> BaseTool: """Import tool from tool name""" + from langflow.interface.tools.base import tool_creator - return get_tool_by_name(tool) + if tool in tool_creator.type_to_loader_dict: + return tool_creator.type_to_loader_dict[tool]["fcn"] + + return import_class(f"langchain.tools.{tool}") def import_chain(chain: str) -> Type[Chain]: @@ -131,10 +134,16 @@ def import_vectorstore(vectorstore: str) -> Any: def import_documentloader(documentloader: str) -> Any: """Import documentloader from documentloader name""" - return import_class(f"langchain.document_loaders.{documentloader}") def import_textsplitter(textsplitter: str) -> Any: """Import textsplitter from textsplitter name""" return import_class(f"langchain.text_splitter.{textsplitter}") + + +def import_utility(utility: str) -> Any: + """Import utility from utility name""" + if utility == "SQLDatabase": + return import_class(f"langchain.sql_database.{utility}") + return import_class(f"langchain.utilities.{utility}") diff --git a/src/backend/langflow/interface/listing.py b/src/backend/langflow/interface/listing.py index cf45fd9c5..3d73105c2 100644 --- a/src/backend/langflow/interface/listing.py +++ b/src/backend/langflow/interface/listing.py @@ -8,6 +8,7 @@ from langflow.interface.prompts.base import prompt_creator from langflow.interface.text_splitters.base import textsplitter_creator from langflow.interface.toolkits.base import toolkits_creator from langflow.interface.tools.base import tool_creator +from langflow.interface.utilities.base import utility_creator from langflow.interface.vector_store.base import vectorstore_creator from langflow.interface.wrappers.base import wrapper_creator @@ -26,6 +27,7 @@ def get_type_dict(): "vectorStore": vectorstore_creator.to_list(), "embeddings": embedding_creator.to_list(), "textSplitters": textsplitter_creator.to_list(), + "utilities": utility_creator.to_list(), } diff --git a/src/backend/langflow/interface/loading.py b/src/backend/langflow/interface/loading.py index ca2017ff3..0e23c2b45 100644 --- a/src/backend/langflow/interface/loading.py +++ b/src/backend/langflow/interface/loading.py @@ -13,13 +13,15 @@ from langchain.agents.load_tools import ( ) from langchain.agents.loading import load_agent_from_config from langchain.agents.tools import Tool +from langchain.base_language import BaseLanguageModel from langchain.callbacks.base import BaseCallbackManager from langchain.chains.loading import load_chain_from_config -from langchain.llms.base import BaseLLM from langchain.llms.loading import load_llm_from_config +from pydantic import ValidationError 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 @@ -28,61 +30,126 @@ from langflow.utils import util, validate def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any: """Instantiate class from module type and key, and params""" + params = convert_params_to_sets(params) + if node_type in CUSTOM_AGENTS: - if custom_agent := CUSTOM_AGENTS.get(node_type): - return custom_agent.initialize(**params) # type: ignore + custom_agent = CUSTOM_AGENTS.get(node_type) + if custom_agent: + return custom_agent.initialize(**params) class_object = import_by_type(_type=base_type, name=node_type) + return instantiate_based_on_type(class_object, base_type, node_type, params) + +def convert_params_to_sets(params): + """Convert certain params to sets""" + if "allowed_special" in params: + params["allowed_special"] = set(params["allowed_special"]) + if "disallowed_special" in params: + params["disallowed_special"] = set(params["disallowed_special"]) + return params + + +def instantiate_based_on_type(class_object, base_type, node_type, params): if base_type == "agents": - # We need to initialize it differently - return load_agent_executor(class_object, params) + return instantiate_agent(class_object, params) elif base_type == "prompts": - if node_type == "ZeroShotPrompt": - if "tools" not in params: - params["tools"] = [] - return ZeroShotAgent.create_prompt(**params) + return instantiate_prompt(node_type, params) elif base_type == "tools": - if node_type == "JsonSpec": - params["dict_"] = load_file_into_dict(params.pop("path")) - return class_object(**params) - elif node_type == "PythonFunction": - # If the node_type is "PythonFunction" - # we need to get the function from the params - # which will be a str containing a python function - # and then we need to compile it and return the function - # as the instance - function_string = params["code"] - if isinstance(function_string, str): - return validate.eval_function(function_string) - raise ValueError("Function should be a string") + return instantiate_tool(node_type, class_object, params) elif base_type == "toolkits": - loaded_toolkit = class_object(**params) - # Check if node_type has a loader - if toolkits_creator.has_create_function(node_type): - return load_toolkits_executor(node_type, loaded_toolkit, params) - return loaded_toolkit + return instantiate_toolkit(node_type, class_object, params) elif base_type == "embeddings": - params.pop("model") - return class_object(**params) + return instantiate_embedding(class_object, params) elif base_type == "vectorstores": - return class_object.from_documents(**params) + return instantiate_vectorstore(class_object, params) elif base_type == "documentloaders": - return class_object(**params).load() + return instantiate_documentloader(class_object, params) elif base_type == "textsplitters": - documents = params.pop("documents") - text_splitter = class_object(**params) - return text_splitter.split_documents(documents) + return instantiate_textsplitter(class_object, params) + elif base_type == "utilities": + return instantiate_utility(node_type, class_object, params) + else: + return class_object(**params) + +def instantiate_agent(class_object, params): + return load_agent_executor(class_object, params) + + +def instantiate_prompt(node_type, params): + if node_type == "ZeroShotPrompt": + if "tools" not in params: + params["tools"] = [] + return ZeroShotAgent.create_prompt(**params) + return None # Or some other default action + + +def instantiate_tool(node_type, class_object, params): + if node_type == "JsonSpec": + params["dict_"] = load_file_into_dict(params.pop("path")) + return class_object(**params) + elif node_type == "PythonFunction": + function_string = params["code"] + if isinstance(function_string, str): + return validate.eval_function(function_string) + raise ValueError("Function should be a string") + elif node_type.lower() == "tool": + return class_object(**params) + return None # Or some other default action + + +def instantiate_toolkit(node_type, class_object, params): + loaded_toolkit = class_object(**params) + if toolkits_creator.has_create_function(node_type): + return load_toolkits_executor(node_type, loaded_toolkit, params) + return loaded_toolkit + + +def instantiate_embedding(class_object, params): + params.pop("model", None) + try: + return class_object(**params) + except ValidationError: + params = { + key: value + for key, value in params.items() + if key in class_object.__fields__ + } + return class_object(**params) + + +def instantiate_vectorstore(class_object, params): + if len(params.get("documents", [])) == 0: + raise ValueError( + "The source you provided did not load correctly or was empty." + "This may cause an error in the vectorstore." + ) + return class_object.from_documents(**params) + + +def instantiate_documentloader(class_object, params): + return class_object(**params).load() + + +def instantiate_textsplitter(class_object, params): + documents = params.pop("documents") + text_splitter = class_object(**params) + return text_splitter.split_documents(documents) + + +def instantiate_utility(node_type, class_object, params): + if node_type == "SQLDatabase": + return class_object.from_uri(params.pop("uri")) return class_object(**params) -def load_flow_from_json(path: str): +def load_flow_from_json(path: str, build=True): # This is done to avoid circular imports from langflow.graph import Graph """Load flow from json file""" - with open(path, "r") as f: + with open(path, "r", encoding="utf-8") as f: flow_graph = json.load(f) data_graph = flow_graph["data"] nodes = data_graph["nodes"] @@ -94,7 +161,19 @@ def load_flow_from_json(path: str): # Nodes, edges and root node edges = data_graph["edges"] graph = Graph(nodes, edges) - return graph.build() + 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): @@ -132,7 +211,7 @@ def load_langchain_type_from_config(config: Dict[str, Any]): def load_agent_executor_from_config( config: dict, - llm: Optional[BaseLLM] = None, + llm: Optional[BaseLanguageModel] = None, tools: Optional[list[Tool]] = None, callback_manager: Optional[BaseCallbackManager] = None, **kwargs: Any, @@ -151,10 +230,15 @@ def load_agent_executor_from_config( def load_agent_executor(agent_class: type[agent_module.Agent], params, **kwargs): """Load agent executor from agent class, tools and chain""" - allowed_tools = params["allowed_tools"] + allowed_tools = params.get("allowed_tools", []) llm_chain = params["llm_chain"] + # if allowed_tools is not a list or set, make it a list + if not isinstance(allowed_tools, (list, set)): + allowed_tools = [allowed_tools] tool_names = [tool.name for tool in allowed_tools] - agent = agent_class(allowed_tools=tool_names, llm_chain=llm_chain) + # Agent class requires an output_parser but Agent classes + # have a default output_parser. + agent = agent_class(allowed_tools=tool_names, llm_chain=llm_chain) # type: ignore return AgentExecutor.from_agent_and_tools( agent=agent, tools=allowed_tools, diff --git a/src/backend/langflow/interface/run.py b/src/backend/langflow/interface/run.py index c92f40fec..af80b7acd 100644 --- a/src/backend/langflow/interface/run.py +++ b/src/backend/langflow/interface/run.py @@ -2,9 +2,11 @@ import contextlib import io from typing import Any, Dict -from langflow.cache.utils import compute_dict_hash, load_cache, memoize_dict +from chromadb.errors import NotEnoughElementsException # type: ignore + +from langflow.api.callback import AsyncStreamingLLMCallbackHandler, StreamingLLMCallbackHandler # type: ignore +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 @@ -31,23 +33,23 @@ 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. """ logger.debug("Building langchain object") - nodes = data_graph["nodes"] - # Add input variables - # nodes = payload.extract_input_variables(nodes) - # Nodes, edges and root node - edges = data_graph["edges"] - graph = Graph(nodes, edges) - + graph = build_graph(data_graph) return graph.build() +def build_graph(data_graph): + nodes = data_graph["nodes"] + edges = data_graph["edges"] + return Graph(nodes, edges) + + def build_langchain_object(data_graph): """ Build langchain object from data_graph. @@ -64,47 +66,12 @@ def build_langchain_object(data_graph): return graph.build() -def process_graph(data_graph: Dict[str, Any]): +def process_graph_cached(data_graph: Dict[str, Any], message: str): """ Process graph by extracting input variables and replacing ZeroShotPrompt with PromptTemplate,then run the graph and return the result and thought. """ # Load langchain object - logger.debug("Loading langchain object") - message = data_graph.pop("message", "") - is_first_message = len(data_graph.get("chatHistory", [])) == 0 - computed_hash, langchain_object = load_langchain_object( - data_graph, is_first_message - ) - 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 - logger.debug("Generating result and thought") - result, thought = get_result_and_thought_using_graph(langchain_object, message) - logger.debug("Generated result and thought") - - # Save langchain_object to cache - # We have to save it here because if the - # memory is updated we need to keep the new values - logger.debug("Saving langchain object to cache") - # save_cache(computed_hash, langchain_object, is_first_message) - logger.debug("Saved langchain object to cache") - return {"result": str(result), "thought": thought.strip()} - - -def process_graph_cached(data_graph: Dict[str, Any]): - """ - Process graph by extracting input variables and replacing ZeroShotPrompt - with PromptTemplate,then run the graph and return the result and thought. - """ - # Load langchain object - message = data_graph.pop("message", "") is_first_message = len(data_graph.get("chatHistory", [])) == 0 langchain_object = load_or_build_langchain_object(data_graph, is_first_message) logger.debug("Loaded langchain object") @@ -117,7 +84,7 @@ 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_thought(langchain_object, message) logger.debug("Generated result and thought") return {"result": str(result), "thought": thought.strip()} @@ -170,10 +137,12 @@ def fix_memory_inputs(langchain_object): if langchain_object.memory.memory_key in langchain_object.input_variables: return except AttributeError: - if ( - langchain_object.memory.memory_key - in langchain_object.prompt.input_variables - ): + input_variables = ( + langchain_object.prompt.input_variables + if hasattr(langchain_object, "prompt") + else langchain_object.input_keys + ) + if langchain_object.memory.memory_key in input_variables: return possible_new_mem_key = get_memory_key(langchain_object) @@ -181,7 +150,68 @@ 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): +async def get_result_and_steps(langchain_object, message: str, **kwargs): + """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 = True + + fix_memory_inputs(langchain_object) + + with io.StringIO() as output_buffer, contextlib.redirect_stdout(output_buffer): + try: + async_callbacks = [AsyncStreamingLLMCallbackHandler(**kwargs)] + output = await langchain_object.acall( + chat_input, callbacks=async_callbacks + ) + except Exception as exc: + # make the error message more informative + logger.debug(f"Error: {str(exc)}") + sync_callbacks = [StreamingLLMCallbackHandler(**kwargs)] + output = langchain_object(chat_input, callbacks=sync_callbacks) + + 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 NotEnoughElementsException as exc: + raise ValueError( + "Error: Not enough documents for ChromaDB to index. Try reducing chunk size in TextSplitter." + ) from exc + except Exception as exc: + raise ValueError(f"Error: {str(exc)}") from exc + return result, thought + + +def get_result_and_thought(langchain_object, message: str): """Get result and thought from extracted json""" try: if hasattr(langchain_object, "verbose"): @@ -208,6 +238,9 @@ def get_result_and_thought_using_graph(langchain_object, message: str): 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 @@ -233,34 +266,6 @@ def get_result_and_thought_using_graph(langchain_object, message: str): return result, thought -def get_result_and_thought(extracted_json: Dict[str, Any], message: str): - """Get result and thought from extracted json""" - try: - langchain_object = loading.load_langchain_type_from_config( - config=extracted_json - ) - with io.StringIO() as output_buffer, contextlib.redirect_stdout(output_buffer): - output = langchain_object(message) - 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 e: - result = f"Error: {str(e)}" - thought = "" - return result, thought - - def format_intermediate_steps(intermediate_steps): formatted_chain = "> Entering new AgentExecutor chain...\n" for step in intermediate_steps: diff --git a/src/backend/langflow/interface/tools/base.py b/src/backend/langflow/interface/tools/base.py index f175a9902..888accb29 100644 --- a/src/backend/langflow/interface/tools/base.py +++ b/src/backend/langflow/interface/tools/base.py @@ -1,7 +1,6 @@ from typing import Dict, List, Optional from langchain.agents.load_tools import ( - _BASE_TOOLS, _EXTRA_LLM_TOOLS, _EXTRA_OPTIONAL_TOOLS, _LLM_TOOLS, @@ -10,17 +9,16 @@ from langchain.agents.load_tools import ( from langflow.custom import customs from langflow.interface.base import LangChainTypeCreator from langflow.interface.tools.constants import ( + ALL_TOOLS_NAMES, CUSTOM_TOOLS, FILE_TOOLS, + OTHER_TOOLS, ) -from langflow.interface.tools.util import ( - get_tool_by_name, - get_tool_params, - get_tools_dict, -) +from langflow.interface.tools.util import get_tool_params from langflow.settings import settings from langflow.template.base import Template, TemplateField from langflow.utils import util +from langflow.utils.util import build_template_from_class TOOL_INPUTS = { "str": TemplateField( @@ -31,7 +29,9 @@ TOOL_INPUTS = { placeholder="", value="", ), - "llm": TemplateField(field_type="BaseLLM", required=True, is_list=False, show=True), + "llm": TemplateField( + field_type="BaseLanguageModel", required=True, is_list=False, show=True + ), "func": TemplateField( field_type="function", required=True, @@ -66,75 +66,94 @@ class ToolCreator(LangChainTypeCreator): @property def type_to_loader_dict(self) -> Dict: if self.tools_dict is None: - self.tools_dict = get_tools_dict() + all_tools = {} + + for tool, tool_fcn in ALL_TOOLS_NAMES.items(): + tool_params = get_tool_params(tool_fcn) + tool_name = tool_params.get("name", tool) + + if tool_name in settings.tools or settings.dev: + if tool_name == "JsonSpec": + tool_params["path"] = tool_params.pop("dict_") # type: ignore + all_tools[tool_name] = { + "type": tool, + "params": tool_params, + "fcn": tool_fcn, + } + + self.tools_dict = all_tools + return self.tools_dict def get_signature(self, name: str) -> Optional[Dict]: """Get the signature of a tool.""" base_classes = ["Tool"] - all_tools = {} - for tool in self.type_to_loader_dict.keys(): - tool_fcn = get_tool_by_name(tool) - if tool_params := get_tool_params(tool_fcn): - tool_name = tool_params.get("name") or str(tool) - all_tools[tool_name] = { - "type": tool, - "params": tool_params, - "fcn": tool_fcn, - } + fields = [] + params = [] + tool_params = {} # Raise error if name is not in tools - if name not in all_tools.keys(): + if name not in self.type_to_loader_dict.keys(): raise ValueError("Tool not found") - tool_type: str = all_tools[name]["type"] # type: ignore + tool_type: str = self.type_to_loader_dict[name]["type"] # type: ignore - if all_tools[tool_type]["fcn"] in _BASE_TOOLS.values(): - params = [] - elif all_tools[tool_type]["fcn"] in _LLM_TOOLS.values(): + # if tool_type in _BASE_TOOLS.keys(): + # params = [] + if tool_type in _LLM_TOOLS.keys(): params = ["llm"] - elif all_tools[tool_type]["fcn"] in [ - val[0] for val in _EXTRA_LLM_TOOLS.values() - ]: - n_dict = {val[0]: val[1] for val in _EXTRA_LLM_TOOLS.values()} - extra_keys = n_dict[all_tools[tool_type]["fcn"]] + elif tool_type in _EXTRA_LLM_TOOLS.keys(): + extra_keys = _EXTRA_LLM_TOOLS[tool_type][1] params = ["llm"] + extra_keys - elif all_tools[tool_type]["fcn"] in [ - val[0] for val in _EXTRA_OPTIONAL_TOOLS.values() - ]: - n_dict = {val[0]: val[1] for val in _EXTRA_OPTIONAL_TOOLS.values()} # type: ignore - extra_keys = n_dict[all_tools[tool_type]["fcn"]] + elif tool_type in _EXTRA_OPTIONAL_TOOLS.keys(): + extra_keys = _EXTRA_OPTIONAL_TOOLS[tool_type][1] params = extra_keys - elif tool_type == "Tool": - params = ["name", "description", "func"] + # elif tool_type == "Tool": + # params = ["name", "description", "func"] elif tool_type in CUSTOM_TOOLS: # Get custom tool params - params = all_tools[name]["params"] # type: ignore + params = self.type_to_loader_dict[name]["params"] # type: ignore base_classes = ["function"] if node := customs.get_custom_nodes("tools").get(tool_type): return node elif tool_type in FILE_TOOLS: - params = all_tools[name]["params"] # type: ignore - if tool_type == "JsonSpec": - params["path"] = params.pop("dict_") # type: ignore + params = self.type_to_loader_dict[name]["params"] # type: ignore base_classes += [name] - else: - params = [] + elif tool_type in OTHER_TOOLS: + tool_dict = build_template_from_class(tool_type, OTHER_TOOLS) + fields = tool_dict["template"] + + # Pop unnecessary fields and add name + fields.pop("_type") # type: ignore + fields.pop("return_direct") # type: ignore + fields.pop("verbose") # type: ignore + + tool_params = { + "name": fields.pop("name")["value"], # type: ignore + "description": fields.pop("description")["value"], # type: ignore + } + + fields = [ + TemplateField(name=name, field_type=field["type"], **field) + for name, field in fields.items() # type: ignore + ] + base_classes += tool_dict["base_classes"] # Copy the field and add the name - fields = [] for param in params: field = TOOL_INPUTS.get(param, TOOL_INPUTS["str"]).copy() field.name = param + field.advanced = False if param == "aiosession": field.show = False field.required = False + fields.append(field) template = Template(fields=fields, type_name=tool_type) - tool_params = all_tools[name]["params"] + tool_params = {**tool_params, **self.type_to_loader_dict[name]["params"]} return { "template": util.format_dict(template.to_dict()), **tool_params, @@ -144,21 +163,7 @@ class ToolCreator(LangChainTypeCreator): def to_list(self) -> List[str]: """List all load tools""" - tools = [] - - for tool, fcn in get_tools_dict().items(): - tool_params = get_tool_params(fcn) - - if tool_params and not tool_params.get("name"): - tool_params["name"] = tool - - if tool_params and ( - tool_params.get("name") in settings.tools - or (tool_params.get("name") and settings.dev) - ): - tools.append(tool_params["name"]) - - return tools + return list(self.type_to_loader_dict.keys()) tool_creator = ToolCreator() diff --git a/src/backend/langflow/interface/tools/constants.py b/src/backend/langflow/interface/tools/constants.py index 2ec20cef9..f939d55ad 100644 --- a/src/backend/langflow/interface/tools/constants.py +++ b/src/backend/langflow/interface/tools/constants.py @@ -1,3 +1,4 @@ +from langchain import tools from langchain.agents import Tool from langchain.agents.load_tools import ( _BASE_TOOLS, @@ -7,10 +8,14 @@ from langchain.agents.load_tools import ( ) from langchain.tools.json.tool import JsonSpec +from langflow.interface.importing.utils import import_class from langflow.interface.tools.custom import PythonFunction FILE_TOOLS = {"JsonSpec": JsonSpec} CUSTOM_TOOLS = {"Tool": Tool, "PythonFunction": PythonFunction} + +OTHER_TOOLS = {tool: import_class(f"langchain.tools.{tool}") for tool in tools.__all__} + ALL_TOOLS_NAMES = { **_BASE_TOOLS, **_LLM_TOOLS, # type: ignore @@ -18,4 +23,5 @@ ALL_TOOLS_NAMES = { **{k: v[0] for k, v in _EXTRA_OPTIONAL_TOOLS.items()}, **CUSTOM_TOOLS, **FILE_TOOLS, # type: ignore + **OTHER_TOOLS, } diff --git a/src/backend/langflow/interface/tools/util.py b/src/backend/langflow/interface/tools/util.py index 8f8673b6b..48d9368d1 100644 --- a/src/backend/langflow/interface/tools/util.py +++ b/src/backend/langflow/interface/tools/util.py @@ -4,29 +4,6 @@ from typing import Dict, Union from langchain.agents.tools import Tool -from langflow.interface.tools.constants import ALL_TOOLS_NAMES - - -def get_tools_dict(): - """Get the tools dictionary.""" - - all_tools = {} - - for tool, fcn in ALL_TOOLS_NAMES.items(): - if tool_params := get_tool_params(fcn): - tool_name = tool_params.get("name") or str(tool) - all_tools[tool_name] = fcn - - return all_tools - - -def get_tool_by_name(name: str): - """Get a tool from the tools dictionary.""" - tools = get_tools_dict() - if name not in tools: - raise ValueError(f"{name} not found.") - return tools[name] - def get_func_tool_params(func, **kwargs) -> Union[Dict, None]: tree = ast.parse(inspect.getsource(func)) @@ -42,11 +19,19 @@ def get_func_tool_params(func, **kwargs) -> Union[Dict, None]: tool_params = {} for keyword in tool.keywords: if keyword.arg == "name": - tool_params["name"] = ast.literal_eval(keyword.value) + try: + tool_params["name"] = ast.literal_eval( + keyword.value + ) + except ValueError: + break elif keyword.arg == "description": - tool_params["description"] = ast.literal_eval( - keyword.value - ) + try: + tool_params["description"] = ast.literal_eval( + keyword.value + ) + except ValueError: + continue return tool_params return { @@ -113,6 +98,8 @@ def get_tool_params(tool, **kwargs) -> Dict: elif inspect.isclass(tool): # Get the parameters necessary to # instantiate the class + return get_class_tool_params(tool, **kwargs) or {} + else: raise ValueError("Tool must be a function or class.") diff --git a/src/backend/langflow/interface/types.py b/src/backend/langflow/interface/types.py index fd5d9ec3e..085537756 100644 --- a/src/backend/langflow/interface/types.py +++ b/src/backend/langflow/interface/types.py @@ -8,6 +8,7 @@ from langflow.interface.prompts.base import prompt_creator from langflow.interface.text_splitters.base import textsplitter_creator from langflow.interface.toolkits.base import toolkits_creator from langflow.interface.tools.base import tool_creator +from langflow.interface.utilities.base import utility_creator from langflow.interface.vector_store.base import vectorstore_creator from langflow.interface.wrappers.base import wrapper_creator @@ -42,6 +43,7 @@ def build_langchain_types_dict(): # sourcery skip: dict-assign-update-to-union vectorstore_creator, documentloader_creator, textsplitter_creator, + utility_creator, ] all_types = {} diff --git a/src/backend/langflow/interface/utilities/__init__.py b/src/backend/langflow/interface/utilities/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/backend/langflow/interface/utilities/base.py b/src/backend/langflow/interface/utilities/base.py new file mode 100644 index 000000000..e60e344ad --- /dev/null +++ b/src/backend/langflow/interface/utilities/base.py @@ -0,0 +1,39 @@ +from typing import Dict, List, Optional + +from langflow.custom.customs import get_custom_nodes +from langflow.interface.base import LangChainTypeCreator +from langflow.interface.custom_lists import utility_type_to_cls_dict +from langflow.settings import settings +from langflow.utils.logger import logger +from langflow.utils.util import build_template_from_class + + +class UtilityCreator(LangChainTypeCreator): + type_name: str = "utilities" + + @property + def type_to_loader_dict(self) -> Dict: + return utility_type_to_cls_dict + + def get_signature(self, name: str) -> Optional[Dict]: + """Get the signature of a utility.""" + try: + if name in get_custom_nodes(self.type_name).keys(): + return get_custom_nodes(self.type_name)[name] + return build_template_from_class(name, utility_type_to_cls_dict) + except ValueError as exc: + raise ValueError(f"Utility {name} not found") from exc + + except AttributeError as exc: + logger.error(f"Utility {name} not loaded: {exc}") + return None + + def to_list(self) -> List[str]: + return [ + utility.__name__ + for utility in self.type_to_loader_dict.values() + if utility.__name__ in settings.utilities or settings.dev + ] + + +utility_creator = UtilityCreator() diff --git a/src/backend/langflow/interface/utils.py b/src/backend/langflow/interface/utils.py index b3b154790..7368fda3e 100644 --- a/src/backend/langflow/interface/utils.py +++ b/src/backend/langflow/interface/utils.py @@ -1,7 +1,11 @@ +import base64 import json import os +from io import BytesIO import yaml +from langchain.base_language import BaseLanguageModel +from PIL.Image import Image def load_file_into_dict(file_path: str) -> dict: @@ -20,3 +24,27 @@ 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, BaseLanguageModel): + llm.streaming = bool(hasattr(llm, "streaming")) + + return langchain_object diff --git a/src/backend/langflow/main.py b/src/backend/langflow/main.py index 176e46236..56cc32e46 100644 --- a/src/backend/langflow/main.py +++ b/src/backend/langflow/main.py @@ -1,6 +1,7 @@ from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware +from langflow.api.chat import router as chat_router from langflow.api.endpoints import router as endpoints_router from langflow.api.validate import router as validate_router @@ -23,6 +24,7 @@ def create_app(): app.include_router(endpoints_router) app.include_router(validate_router) + app.include_router(chat_router) return app diff --git a/src/backend/langflow/settings.py b/src/backend/langflow/settings.py index c5377c85a..48aa5939d 100644 --- a/src/backend/langflow/settings.py +++ b/src/backend/langflow/settings.py @@ -18,6 +18,7 @@ class Settings(BaseSettings): wrappers: List[str] = [] toolkits: List[str] = [] textsplitters: List[str] = [] + utilities: List[str] = [] dev: bool = False class Config: @@ -42,6 +43,7 @@ class Settings(BaseSettings): self.wrappers = new_settings.wrappers or [] self.toolkits = new_settings.toolkits or [] self.textsplitters = new_settings.textsplitters or [] + self.utilities = new_settings.utilities or [] self.dev = new_settings.dev or False diff --git a/src/backend/langflow/template/base.py b/src/backend/langflow/template/base.py index 0fe665f67..5273782ed 100644 --- a/src/backend/langflow/template/base.py +++ b/src/backend/langflow/template/base.py @@ -23,6 +23,7 @@ class TemplateFieldCreator(BaseModel, ABC): options: list[str] = [] name: str = "" display_name: Optional[str] = None + advanced: bool = False def to_dict(self): result = self.dict() @@ -161,14 +162,23 @@ class FrontendNode(BaseModel): _type = _type.replace("Optional[", "")[:-1] # Check for list type - if "List" in _type: - _type = _type.replace("List[", "")[:-1] + if "List" in _type or "Sequence" in _type: + _type = _type.replace("List[", "") + _type = _type.replace("Sequence[", "")[:-1] field.is_list = True # Replace 'Mapping' with 'dict' if "Mapping" in _type: _type = _type.replace("Mapping", "dict") + # {'type': 'Union[float, Tuple[float, float], NoneType]'} != {'type': 'float'} + if "Union" in _type: + _type = _type.replace("Union[", "")[:-1] + _type = _type.split(",")[0] + _type = _type.replace("]", "").replace("[", "") + + field.field_type = _type + # Change type from str to Tool field.field_type = "Tool" if key in {"allowed_tools"} else field.field_type @@ -196,6 +206,7 @@ class FrontendNode(BaseModel): "examples", "code", "headers", + "description", } # Replace dict type with str @@ -225,6 +236,16 @@ class FrontendNode(BaseModel): field.is_list = True if "api_key" in key and "OpenAI" in str(name): field.display_name = "OpenAI API Key" - field.required = True + field.required = False if field.value is None: field.value = "" + + if "kwargs" in field.name.lower(): + field.advanced = True + field.required = False + field.show = False + # If the field.name contains api or api and key, then it might be an api key + # other conditions are to make sure that it is not an input or output variable + if "api" in key.lower() and "key" in key.lower(): + field.required = False + field.advanced = False diff --git a/src/backend/langflow/template/nodes.py b/src/backend/langflow/template/nodes.py index c31f3c40f..6ce08e57b 100644 --- a/src/backend/langflow/template/nodes.py +++ b/src/backend/langflow/template/nodes.py @@ -77,6 +77,12 @@ class PromptTemplateNode(FrontendNode): def to_dict(self): return super().to_dict() + @staticmethod + def format_field(field: TemplateField, name: Optional[str] = None) -> None: + FrontendNode.format_field(field, name) + if field.name == "examples": + field.advanced = False + class PythonFunctionNode(FrontendNode): name: str = "PythonFunction" @@ -91,6 +97,7 @@ class PythonFunctionNode(FrontendNode): show=True, value=DEFAULT_PYTHON_FUNCTION, name="code", + advanced=False, ) ], ) @@ -101,10 +108,126 @@ class PythonFunctionNode(FrontendNode): return super().to_dict() +class MidJourneyPromptChainNode(FrontendNode): + name: str = "MidJourneyPromptChain" + template: Template = Template( + type_name="MidJourneyPromptChain", + fields=[ + TemplateField( + field_type="BaseLanguageModel", + required=True, + placeholder="", + is_list=False, + show=True, + advanced=False, + multiline=False, + name="llm", + ), + TemplateField( + field_type="BaseChatMemory", + required=False, + show=True, + name="memory", + advanced=False, + ), + ], + ) + description: str = "MidJourneyPromptChain is a chain you can use to generate new MidJourney prompts." + base_classes: list[str] = [ + "LLMChain", + "BaseCustomChain", + "Chain", + "ConversationChain", + "MidJourneyPromptChain", + ] + + +class TimeTravelGuideChainNode(FrontendNode): + name: str = "TimeTravelGuideChain" + template: Template = Template( + type_name="TimeTravelGuideChain", + fields=[ + TemplateField( + field_type="BaseLanguageModel", + required=True, + placeholder="", + is_list=False, + show=True, + advanced=False, + multiline=False, + name="llm", + ), + TemplateField( + field_type="BaseChatMemory", + required=False, + show=True, + name="memory", + advanced=False, + ), + ], + ) + description: str = "Time travel guide chain to be used in the flow." + base_classes: list[str] = [ + "LLMChain", + "BaseCustomChain", + "TimeTravelGuideChain", + "Chain", + "ConversationChain", + ] + + +class SeriesCharacterChainNode(FrontendNode): + name: str = "SeriesCharacterChain" + template: Template = Template( + type_name="SeriesCharacterChain", + fields=[ + TemplateField( + field_type="str", + required=True, + placeholder="", + is_list=False, + show=True, + advanced=False, + multiline=False, + name="character", + ), + TemplateField( + field_type="str", + required=True, + placeholder="", + is_list=False, + show=True, + advanced=False, + multiline=False, + name="series", + ), + TemplateField( + field_type="BaseLanguageModel", + required=True, + placeholder="", + is_list=False, + show=True, + advanced=False, + multiline=False, + name="llm", + ), + ], + ) + description: str = "SeriesCharacterChain is a chain you can use to have a conversation with a character from a series." # noqa + base_classes: list[str] = [ + "LLMChain", + "BaseCustomChain", + "Chain", + "ConversationChain", + "SeriesCharacterChain", + "function", + ] + + class ToolNode(FrontendNode): name: str = "Tool" template: Template = Template( - type_name="tool", + type_name="Tool", fields=[ TemplateField( field_type="str", @@ -115,6 +238,7 @@ class ToolNode(FrontendNode): multiline=True, value="", name="name", + advanced=False, ), TemplateField( field_type="str", @@ -125,21 +249,31 @@ class ToolNode(FrontendNode): multiline=True, value="", name="description", + advanced=False, ), TemplateField( - field_type="str", + name="func", + field_type="function", + required=True, + is_list=False, + show=True, + multiline=True, + advanced=False, + ), + TemplateField( + field_type="bool", required=True, placeholder="", is_list=False, show=True, - multiline=True, - value="", - name="func", + multiline=False, + value=False, + name="return_direct", ), ], ) description: str = "Tool to be used in the flow." - base_classes: list[str] = ["BaseTool"] + base_classes: list[str] = ["Tool"] def to_dict(self): return super().to_dict() @@ -185,12 +319,14 @@ class InitializeAgentNode(FrontendNode): options=list(NON_CHAT_AGENTS.keys()), value=list(NON_CHAT_AGENTS.keys())[0], name="agent", + advanced=False, ), TemplateField( field_type="BaseChatMemory", required=False, show=True, name="memory", + advanced=False, ), TemplateField( field_type="Tool", @@ -198,17 +334,19 @@ class InitializeAgentNode(FrontendNode): show=True, name="tools", is_list=True, + advanced=False, ), TemplateField( field_type="BaseLanguageModel", required=True, show=True, name="llm", + advanced=False, ), ], ) description: str = """Construct a json agent from an LLM and tools.""" - base_classes: list[str] = ["AgentExecutor"] + base_classes: list[str] = ["AgentExecutor", "function"] def to_dict(self): return super().to_dict() @@ -248,6 +386,29 @@ class CSVAgentNode(FrontendNode): return super().to_dict() +class SQLDatabaseNode(FrontendNode): + name: str = "SQLDatabase" + template: Template = Template( + type_name="sql_database", + fields=[ + TemplateField( + field_type="str", + required=True, + is_list=False, + show=True, + multiline=False, + value="", + name="uri", + ), + ], + ) + description: str = """SQLAlchemy wrapper around a database.""" + base_classes: list[str] = ["SQLDatabase"] + + def to_dict(self): + return super().to_dict() + + class VectorStoreAgentNode(FrontendNode): name: str = "VectorStoreAgent" template: Template = Template( @@ -345,6 +506,7 @@ class PromptFrontendNode(FrontendNode): "suffix", "prefix", "examples", + "format_instructions", ] if field.field_type == "StringPromptTemplate" and "Message" in str(name): field.field_type = "prompt" @@ -355,6 +517,7 @@ class PromptFrontendNode(FrontendNode): if field.name in PROMPT_FIELDS: field.field_type = "prompt" + field.advanced = False if ( "Union" in field.field_type @@ -387,17 +550,33 @@ class ChainFrontendNode(FrontendNode): def format_field(field: TemplateField, name: Optional[str] = None) -> None: FrontendNode.format_field(field, name) + field.advanced = False if "key" in field.name: field.password = False field.show = False if field.name in ["input_key", "output_key"]: field.required = True field.show = True + field.advanced = True + # Separated for possible future changes - if field.name == "prompt": + if field.name == "prompt" and field.value is None: # if no prompt is provided, use the default prompt field.required = False field.show = True + field.advanced = False + if field.name == "memory": + field.required = False + field.show = True + field.advanced = False + if field.name == "verbose": + field.required = False + field.show = True + field.advanced = True + if field.name == "llm": + field.required = True + field.show = True + field.advanced = False class LLMFrontendNode(FrontendNode): @@ -407,22 +586,31 @@ class LLMFrontendNode(FrontendNode): "huggingfacehub_api_token": "HuggingFace Hub API Token", } FrontendNode.format_field(field, name) - SHOW_FIELDS = ["repo_id", "task", "model_kwargs"] + SHOW_FIELDS = ["repo_id"] if field.name in SHOW_FIELDS: field.show = True if "api" in field.name and ("key" in field.name or "token" in field.name): field.password = True field.show = True - field.required = True + # Required should be False to support + # loading the API key from environment variables + field.required = False + field.advanced = False if field.name == "task": field.required = True field.show = True field.is_list = True field.options = ["text-generation", "text2text-generation"] + field.advanced = True if display_name := display_names_dict.get(field.name): field.display_name = display_name if field.name == "model_kwargs": field.field_type = "code" + field.advanced = True + field.show = True + elif field.name in ["model_name", "temperature"]: + field.advanced = False + field.show = True diff --git a/src/backend/langflow/utils/util.py b/src/backend/langflow/utils/util.py index b31a3bed1..e959b0103 100644 --- a/src/backend/langflow/utils/util.py +++ b/src/backend/langflow/utils/util.py @@ -1,6 +1,7 @@ import importlib import inspect import re +from functools import wraps from typing import Dict, Optional from docstring_parser import parse # type: ignore @@ -216,7 +217,7 @@ def format_dict(d, name: Optional[str] = None): _type = _type.replace("Optional[", "")[:-1] # Check for list type - if "List" in _type: + if "List" in _type or "Sequence" in _type or "Set" in _type: _type = _type.replace("List[", "")[:-1] value["list"] = True else: @@ -301,3 +302,15 @@ 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 diff --git a/src/backend/langflow/utils/validate.py b/src/backend/langflow/utils/validate.py index af5ddea3c..d1353bd77 100644 --- a/src/backend/langflow/utils/validate.py +++ b/src/backend/langflow/utils/validate.py @@ -59,7 +59,12 @@ def eval_function(function_string: str): # Execute the code string in the new namespace exec(function_string, namespace) function_object = next( - (obj for name, obj in namespace.items() if isinstance(obj, types.FunctionType)), + ( + obj + for name, obj in namespace.items() + if isinstance(obj, types.FunctionType) + and obj.__code__.co_filename == "" + ), None, ) if function_object is None: diff --git a/src/backend/run b/src/backend/run deleted file mode 100755 index c9ba24768..000000000 --- a/src/backend/run +++ /dev/null @@ -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:$VERSION -poetry add --editable ../../../langchain diff --git a/src/frontend/build.Dockerfile b/src/frontend/build.Dockerfile deleted file mode 100644 index af2335b5c..000000000 --- a/src/frontend/build.Dockerfile +++ /dev/null @@ -1,5 +0,0 @@ -FROM node:14-alpine -WORKDIR /app -COPY . /app -RUN npm install -RUN npm run build \ No newline at end of file diff --git a/src/frontend/build_and_push b/src/frontend/build_and_push deleted file mode 100755 index f223dd343..000000000 --- a/src/frontend/build_and_push +++ /dev/null @@ -1,11 +0,0 @@ -#! /bin/bash - -# Read the contents of the JSON file -json=$(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 diff --git a/src/frontend/dev.Dockerfile b/src/frontend/dev.Dockerfile index df5f7f5dc..4773fc2b9 100644 --- a/src/frontend/dev.Dockerfile +++ b/src/frontend/dev.Dockerfile @@ -15,7 +15,10 @@ WORKDIR /home/node/app COPY --chown=node:node . ./ COPY ./set_proxy.sh . -RUN chmod +x set_proxy.sh && ./set_proxy.sh +RUN chmod +x set_proxy.sh && \ + cat set_proxy.sh | tr -d '\r' > set_proxy_unix.sh && \ + chmod +x set_proxy_unix.sh && \ + ./set_proxy_unix.sh USER node diff --git a/src/frontend/public/index.html b/src/frontend/index.html similarity index 69% rename from src/frontend/public/index.html rename to src/frontend/index.html index b2e9c4b82..3b6e30308 100644 --- a/src/frontend/public/index.html +++ b/src/frontend/index.html @@ -4,12 +4,12 @@ - + LangFlow -

-
+
+ diff --git a/src/frontend/package-lock.json b/src/frontend/package-lock.json index df61239c5..607f4946c 100644 --- a/src/frontend/package-lock.json +++ b/src/frontend/package-lock.json @@ -13,43 +13,73 @@ "@headlessui/react": "^1.7.10", "@heroicons/react": "^2.0.15", "@mui/material": "^5.11.9", + "@tabler/icons-react": "^2.18.0", "@tailwindcss/forms": "^0.5.3", - "@testing-library/jest-dom": "^5.16.5", - "@testing-library/react": "^13.4.0", - "@testing-library/user-event": "^13.5.0", - "@types/jest": "^27.5.2", - "@types/node": "^16.18.12", - "@types/react": "^18.0.27", - "@types/react-dom": "^18.0.10", + "@tailwindcss/line-clamp": "^0.4.4", "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-markdown": 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"node_modules/y18n": { - "version": "5.0.8", - "resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz", - "integrity": "sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA==", - "engines": { - "node": ">=10" - } - }, "node_modules/yallist": { "version": "3.1.1", "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz", - "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==" + "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==", + "peer": true }, "node_modules/yaml": { "version": "1.10.2", @@ -18001,42 +7337,6 @@ "node": ">= 6" } }, - "node_modules/yargs": { - "version": "16.2.0", - "resolved": "https://registry.npmjs.org/yargs/-/yargs-16.2.0.tgz", - "integrity": "sha512-D1mvvtDG0L5ft/jGWkLpG1+m0eQxOfaBvTNELraWj22wSVUMWxZUvYgJYcKh6jGGIkJFhH4IZPQhR4TKpc8mBw==", - "dependencies": { - "cliui": "^7.0.2", - "escalade": "^3.1.1", - "get-caller-file": "^2.0.5", - "require-directory": "^2.1.1", - "string-width": "^4.2.0", - "y18n": "^5.0.5", - "yargs-parser": "^20.2.2" - }, - "engines": { - "node": ">=10" - } - }, - "node_modules/yargs-parser": { - "version": "20.2.9", - "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-20.2.9.tgz", - "integrity": "sha512-y11nGElTIV+CT3Zv9t7VKl+Q3hTQoT9a1Qzezhhl6Rp21gJ/IVTW7Z3y9EWXhuUBC2Shnf+DX0antecpAwSP8w==", - "engines": { - "node": ">=10" - } - }, - "node_modules/yocto-queue": { - "version": "0.1.0", - "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz", - "integrity": "sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==", - "engines": { - "node": ">=10" - }, - "funding": { - "url": "https://github.com/sponsors/sindresorhus" - } - }, "node_modules/zustand": { "version": "4.3.2", "resolved": "https://registry.npmjs.org/zustand/-/zustand-4.3.2.tgz", @@ -18059,6 +7359,15 @@ "optional": true } } + }, + "node_modules/zwitch": { + "version": "2.0.4", + "resolved": "https://registry.npmjs.org/zwitch/-/zwitch-2.0.4.tgz", + "integrity": "sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==", + "funding": { + "type": "github", + "url": "https://github.com/sponsors/wooorm" + } } } } diff --git a/src/frontend/package.json b/src/frontend/package.json index b669569e3..fd8cc02db 100644 --- a/src/frontend/package.json +++ b/src/frontend/package.json @@ -8,38 +8,36 @@ "@headlessui/react": "^1.7.10", "@heroicons/react": "^2.0.15", "@mui/material": "^5.11.9", + "@tabler/icons-react": "^2.18.0", "@tailwindcss/forms": "^0.5.3", - "@testing-library/jest-dom": "^5.16.5", - "@testing-library/react": "^13.4.0", - "@testing-library/user-event": "^13.5.0", - "@types/jest": "^27.5.2", - "@types/node": "^16.18.12", - "@types/react": "^18.0.27", - "@types/react-dom": "^18.0.10", + "@tailwindcss/line-clamp": "^0.4.4", "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-markdown": "^8.0.7", "react-router-dom": "^6.8.1", - "react-scripts": "5.0.1", + "react-syntax-highlighter": "^15.5.0", "react-tabs": "^6.0.0", "reactflow": "^11.5.5", - "tailwindcss": "^3.2.6", - "typescript": "^4.9.5", + "rehype-mathjax": "^4.0.2", + "remark-gfm": "^3.0.1", + "remark-math": "^5.1.1", + "uuid": "^9.0.0", "web-vitals": "^2.1.4" }, "scripts": { - "start": "react-scripts start", - "build": "react-scripts build", - "test": "react-scripts test", - "eject": "react-scripts eject" + "start": "vite", + "build": "vite build", + "serve": "vite preview" }, "eslintConfig": { "extends": [ @@ -59,5 +57,23 @@ "last 1 safari version" ] }, - "proxy": "http://backend:7860" -} \ No newline at end of file + "proxy": "http://127.0.0.1:7860", + "devDependencies": { + "@tailwindcss/typography": "^0.5.9", + "@testing-library/jest-dom": "^5.16.5", + "@testing-library/react": "^13.4.0", + "@testing-library/user-event": "^13.5.0", + "@types/jest": "^27.5.2", + "@types/lodash": "^4.14.194", + "@types/node": "^16.18.12", + "@types/react": "^18.0.28", + "@types/react-dom": "^18.0.11", + "@types/uuid": "^9.0.1", + "@vitejs/plugin-react-swc": "^3.0.0", + "autoprefixer": "^10.4.14", + "postcss": "^8.4.23", + "tailwindcss": "^3.3.2", + "typescript": "^5.0.2", + "vite": "^4.3.5" + } +} diff --git a/src/frontend/postcss.config.js b/src/frontend/postcss.config.js new file mode 100644 index 000000000..33ad091d2 --- /dev/null +++ b/src/frontend/postcss.config.js @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +} diff --git a/src/frontend/set_proxy.sh b/src/frontend/set_proxy.sh index e9ad9f109..0330c2915 100755 --- a/src/frontend/set_proxy.sh +++ b/src/frontend/set_proxy.sh @@ -7,4 +7,4 @@ packagejson=$(cat package.json) packagejson=$(echo "$packagejson" | jq ".proxy = \"$backend_url\"") -echo "$packagejson" > package.json +echo "$packagejson" > package.json \ No newline at end of file diff --git a/src/frontend/src/App.css b/src/frontend/src/App.css index 319e2ba39..be7173d7f 100644 --- a/src/frontend/src/App.css +++ b/src/frontend/src/App.css @@ -3,45 +3,45 @@ @tailwind utilities; .App { - text-align: center; + text-align: center; } .App-logo { - height: 40vmin; - pointer-events: none; + height: 40vmin; + pointer-events: none; } @media (prefers-reduced-motion: no-preference) { - .App-logo { - animation: App-logo-spin infinite 20s linear; - } + .App-logo { + animation: App-logo-spin infinite 20s linear; + } } .App-header { - background-color: #282c34; - min-height: 100vh; - display: flex; - flex-direction: column; - align-items: center; - justify-content: center; - font-size: calc(10px + 2vmin); - color: white; + background-color: #282c34; + min-height: 100vh; + display: flex; + flex-direction: column; + align-items: center; + justify-content: center; + font-size: calc(10px + 2vmin); + color: white; } .App-link { - color: #61dafb; + color: #61dafb; } @keyframes App-logo-spin { - from { - transform: rotate(0deg); - } - to { - transform: rotate(360deg); - } + from { + transform: rotate(0deg); + } + to { + transform: rotate(360deg); + } } -@font-face{ - font-family: text-security-disc; - src: url("assets/text-security-disc.woff") format("woff"); -} \ No newline at end of file +@font-face { + font-family: text-security-disc; + src: url("assets/text-security-disc.woff") format("woff"); +} diff --git a/src/frontend/src/App.tsx b/src/frontend/src/App.tsx index 0e5f1887d..e0d19fd40 100644 --- a/src/frontend/src/App.tsx +++ b/src/frontend/src/App.tsx @@ -2,6 +2,8 @@ import "reactflow/dist/style.css"; import { useState, useEffect, useContext } from "react"; import "./App.css"; import { useLocation } from "react-router-dom"; +import _ from "lodash"; + import ErrorAlert from "./alerts/error"; import NoticeAlert from "./alerts/notice"; import SuccessAlert from "./alerts/success"; @@ -14,7 +16,6 @@ import CrashErrorComponent from "./components/CrashErrorComponent"; import { TabsContext } from "./contexts/tabsContext"; export default function App() { - var _ = require("lodash"); let { setCurrent, setShowSideBar, setIsStackedOpen } = useContext(locationContext); @@ -24,7 +25,7 @@ export default function App() { setShowSideBar(true); setIsStackedOpen(true); }, [location.pathname, setCurrent, setIsStackedOpen, setShowSideBar]); - const {hardReset} = useContext(TabsContext) + const { hardReset } = useContext(TabsContext); const { errorData, errorOpen, @@ -108,7 +109,7 @@ export default function App() { onReset={() => { window.localStorage.removeItem("tabsData"); window.localStorage.clear(); - hardReset() + hardReset(); window.location.href = window.location.href; }} FallbackComponent={CrashErrorComponent} @@ -158,7 +159,7 @@ export default function App() { Created by Logspace diff --git a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx index 1a2eeb9e6..c79904661 100644 --- a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx @@ -198,7 +198,9 @@ export default function ParameterComponent({ save(); }} /> - ):(<>)} + ) : ( + <> + )} ); diff --git a/src/frontend/src/CustomNodes/GenericNode/index.tsx b/src/frontend/src/CustomNodes/GenericNode/index.tsx index ff13af901..85e7810a1 100644 --- a/src/frontend/src/CustomNodes/GenericNode/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/index.tsx @@ -1,16 +1,16 @@ -import { TrashIcon } from "@heroicons/react/24/outline"; -import { - classNames, - nodeColors, - nodeIcons, - snakeToNormalCase, -} from "../../utils"; +import { BugAntIcon, Cog6ToothIcon, ExclamationCircleIcon, InformationCircleIcon, TrashIcon } from "@heroicons/react/24/outline"; +import { classNames, nodeColors, nodeIcons, toNormalCase } from "../../utils"; import ParameterComponent from "./components/parameterComponent"; import { typesContext } from "../../contexts/typesContext"; -import { useContext, useRef } from "react"; +import { useContext, useState, useEffect, useRef, Fragment } from "react"; import { NodeDataType } from "../../types/flow"; import { alertContext } from "../../contexts/alertContext"; - +import { PopUpContext } from "../../contexts/popUpContext"; +import NodeModal from "../../modals/NodeModal"; +import { useCallback } from "react"; +import { TabsContext } from "../../contexts/tabsContext"; +import { debounce } from "../../utils"; +import Tooltip from "../../components/TooltipComponent"; export default function GenericNode({ data, selected, @@ -18,10 +18,66 @@ export default function GenericNode({ data: NodeDataType; selected: boolean; }) { - const { setErrorData } = useContext(alertContext); - const showError = useRef(true); - const { types, deleteNode } = useContext(typesContext); - const Icon = nodeIcons[types[data.type]]; + const { setErrorData } = useContext(alertContext); + const showError = useRef(true); + const { types, deleteNode } = useContext(typesContext); + const { openPopUp } = useContext(PopUpContext); + const Icon = nodeIcons[types[data.type]]; + const [validationStatus, setValidationStatus] = useState(null); + // State for outline color + const [isValid, setIsValid] = useState(false); + const { save } = useContext(TabsContext); + const { reactFlowInstance } = useContext(typesContext); + const [params, setParams] = useState([]); + + useEffect(() => { + if (reactFlowInstance) { + setParams(Object.values(reactFlowInstance.toObject())); + } + }, [save]); + + const validateNode = useCallback( + debounce(async () => { + try { + const response = await fetch(`/validate/node/${data.id}`, { + method: "POST", + headers: { + "Content-Type": "application/json", + }, + body: JSON.stringify(reactFlowInstance.toObject()), + }); + + if (response.status === 200) { + let jsonResponse = await response.json(); + let jsonResponseParsed = await JSON.parse(jsonResponse); + console.log(jsonResponseParsed); + if(jsonResponseParsed.valid){ + setValidationStatus(jsonResponseParsed.params); + } else { + setValidationStatus("error"); + } + } + } catch (error) { + // console.error("Error validating node:", error); + setValidationStatus("error"); + } + }, 1000), // Adjust the debounce delay (500ms) as needed + [reactFlowInstance, data.id] + ); + useEffect(() => { + if (params.length > 0) { + validateNode(); + } + }, [params, validateNode]); + + useEffect(() => { + if (validationStatus !== "error") { + setIsValid(true); + } else { + setIsValid(false); + } + }, [validationStatus]); + if (!Icon) { if (showError.current) { setErrorData({ @@ -34,49 +90,92 @@ export default function GenericNode({ deleteNode(data.id); return; } - return ( -
-
-
- -
{data.type}
-
- -
-
-
- {data.node.description} -
+ return ( +
+
+
+ +
{data.type}
+ {validationStatus && validationStatus !== "error" ? + + {validationStatus} +
}> + + + : <> +} +
+
+ + +
+
+ +
+
+ {data.node.description} +
<> {Object.keys(data.node.template) .filter((t) => t.charAt(0) !== "_") .map((t: string, idx) => (
- {idx === 0 ? ( + {/* {idx === 0 ? (
- !key.startsWith("_") && data.node.template[key].show + !key.startsWith("_") && + data.node.template[key].show && + !data.node.template[key].advanced ).length === 0 ? "hidden" : "" @@ -86,8 +185,9 @@ export default function GenericNode({
) : ( <> - )} - {data.node.template[t].show ? ( + )} */} + {data.node.template[t].show && + !data.node.template[t].advanced ? ( ))} -
- Output +
+ {" "}
+ {/*
+ Output +
*/} - {type === "error"? -
-
-
-
-

- {dropItem.title} -

- {dropItem.list ? ( -
-
    - {dropItem.list.map((item, idx) => ( -
  • {item}
    • - ))} -
-
- ) : ( - <> - )} -
-
-
- -
-
-
- :(type === "notice" ? -
-
-
-
-

{dropItem.title}

-

- {dropItem.link ? ( - - Details - - ) : ( - <> - )} -

-
-
-
- -
-
-
- : -
-
-
-
-

- {dropItem.title} -

-
-
-
- -
-
-
- ) - } - - - ) - - } \ No newline at end of file + return ( + + {type === "error" ? ( +
+
+
+
+

+ {dropItem.title} +

+ {dropItem.list ? ( +
+
    + {dropItem.list.map((item, idx) => ( +
  • {item}
    • + ))} +
+
+ ) : ( + <> + )} +
+
+
+ +
+
+
+ ) : type === "notice" ? ( +
+
+
+
+

{dropItem.title}

+

+ {dropItem.link ? ( + + Details + + ) : ( + <> + )} +

+
+
+
+ +
+
+
+ ) : ( +
+
+
+
+

+ {dropItem.title} +

+
+
+
+ +
+
+
+ )} + + ); +} diff --git a/src/frontend/src/alerts/alertDropDown/index.tsx b/src/frontend/src/alerts/alertDropDown/index.tsx index 0d111aba1..09c91c7ca 100644 --- a/src/frontend/src/alerts/alertDropDown/index.tsx +++ b/src/frontend/src/alerts/alertDropDown/index.tsx @@ -5,29 +5,15 @@ import { TrashIcon } from "@heroicons/react/24/outline"; import SingleAlert from "./components/singleAlertComponent"; import { AlertDropdownType } from "../../types/alerts"; import { PopUpContext } from "../../contexts/popUpContext"; - +import { useOnClickOutside } from "../hooks/useOnClickOutside"; export default function AlertDropdown({}: AlertDropdownType) { const { closePopUp } = useContext(PopUpContext); const componentRef = useRef(null); - useEffect(() => { - function handleClickOutside(event: MouseEvent) { - if ( - componentRef.current && - !componentRef.current.contains(event.target as Node) - ) { - closePopUp(); - } - } - - // Bind the event listener - document.addEventListener("mousedown", handleClickOutside); - - // Cleanup the event listener when the component is unmounted - return () => { - document.removeEventListener("mousedown", handleClickOutside); - }; - }, [componentRef]); + // Use the custom hook + useOnClickOutside(componentRef, () => { + closePopUp(); + }); const { notificationList, @@ -38,13 +24,13 @@ export default function AlertDropdown({}: AlertDropdownType) { return (
-
+
Notifications -
+
-
-
+
{notificationList.length !== 0 ? ( notificationList.map((alertItem, index) => ( )) ) : ( -
+
No new notifications
)} diff --git a/src/frontend/src/alerts/error/index.tsx b/src/frontend/src/alerts/error/index.tsx index 94e71a98e..022ad8ba0 100644 --- a/src/frontend/src/alerts/error/index.tsx +++ b/src/frontend/src/alerts/error/index.tsx @@ -39,16 +39,16 @@ export default function ErrorAlert({ removeAlert(id); }, 500); }} - className="rounded-md w-96 mt-6 shadow-xl bg-red-50 p-4 cursor-pointer" + className="rounded-md w-96 mt-6 shadow-xl bg-red-50 dark:bg-red-900 p-4 cursor-pointer" >
-
-

{title}

+

{title}

{list.length !== 0 ? ( -
+
    {list.map((item, index) => (
  • {item}
    • diff --git a/src/frontend/src/alerts/hooks/useOnClickOutside/index.ts b/src/frontend/src/alerts/hooks/useOnClickOutside/index.ts new file mode 100644 index 000000000..3046d41a4 --- /dev/null +++ b/src/frontend/src/alerts/hooks/useOnClickOutside/index.ts @@ -0,0 +1,33 @@ +import { useEffect } from "react"; + +export function useOnClickOutside(ref, handler) { + useEffect(() => { + const listener = (event) => { + // Do nothing if clicking ref's element or its children + if (!ref.current || ref.current.contains(event.target)) { + return; + } + + handler(event); + }; + + // Attach the listener to the document + document.addEventListener("mousedown", listener, { passive: true }); + + // Attach the listener to the react-flow instance + const reactFlowContainer = document.querySelector(".react-flow"); + if (reactFlowContainer) { + reactFlowContainer.addEventListener("mousedown", listener, { + passive: true, + }); + } + + // Clean up the listener when the component is unmounted + return () => { + document.removeEventListener("mousedown", listener); + if (reactFlowContainer) { + reactFlowContainer.removeEventListener("mousedown", listener); + } + }; + }, [ref, handler]); // Rerun only if ref or handler changes +} diff --git a/src/frontend/src/alerts/notice/index.tsx b/src/frontend/src/alerts/notice/index.tsx index 3c5095339..e7e317157 100644 --- a/src/frontend/src/alerts/notice/index.tsx +++ b/src/frontend/src/alerts/notice/index.tsx @@ -36,22 +36,22 @@ export default function NoticeAlert({ setShow(false); removeAlert(id); }} - className="rounded-md w-96 mt-6 shadow-xl bg-blue-50 p-4" + className="rounded-md w-96 mt-6 shadow-xl bg-blue-50 dark:bg-blue-900 p-4" >
    -

    {title}

    +

    {title}

    {link !== "" ? ( Details diff --git a/src/frontend/src/alerts/success/index.tsx b/src/frontend/src/alerts/success/index.tsx index 80b98b05d..6e82075f9 100644 --- a/src/frontend/src/alerts/success/index.tsx +++ b/src/frontend/src/alerts/success/index.tsx @@ -34,17 +34,17 @@ export default function SuccessAlert({ setShow(false); removeAlert(id); }} - className="rounded-md w-96 mt-6 shadow-xl bg-green-50 p-4" + className="rounded-md w-96 mt-6 shadow-xl bg-green-50 dark:bg-green-900 p-4" >

    -

    {title}

    +

    {title}

    diff --git a/src/frontend/src/assets/Gooey Ring-5s-271px.svg b/src/frontend/src/assets/Gooey Ring-5s-271px.svg new file mode 100644 index 000000000..6c3433420 --- /dev/null +++ b/src/frontend/src/assets/Gooey Ring-5s-271px.svg @@ -0,0 +1,40 @@ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/src/frontend/src/assets/froze-flow.png b/src/frontend/src/assets/froze-flow.png new file mode 100644 index 000000000..893ce8f85 Binary files /dev/null and b/src/frontend/src/assets/froze-flow.png differ diff --git a/src/frontend/src/components/CrashErrorComponent/index.tsx b/src/frontend/src/components/CrashErrorComponent/index.tsx index 7864e6d65..de3cea182 100644 --- a/src/frontend/src/components/CrashErrorComponent/index.tsx +++ b/src/frontend/src/components/CrashErrorComponent/index.tsx @@ -2,12 +2,14 @@ export default function CrashErrorComponent({ error, resetErrorBoundary }) { return (
    -

    Oops! An unknown error has occurred.

    +

    + Oops! An unknown error has occurred. +

    - Please click the 'Reset Application' button - to restore the application's state. If the error persists, please - create an issue on our GitHub page. We apologize for any inconvenience - this may have caused. + Please click the 'Reset Application' button to restore the + application's state. If the error persists, please create an issue on + our GitHub page. We apologize for any inconvenience this may have + caused.

    )} {chat.thought && chat.thought !== "" && !hidden &&

    } -
    - {chat.message} +
    + {chat.message}
    diff --git a/src/frontend/src/components/chatComponent/chatTrigger/index.tsx b/src/frontend/src/components/chatComponent/chatTrigger/index.tsx new file mode 100644 index 000000000..2759b13a5 --- /dev/null +++ b/src/frontend/src/components/chatComponent/chatTrigger/index.tsx @@ -0,0 +1,45 @@ +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 }) { + const { openPopUp } = useContext(PopUpContext); + return ( + +
    +
    + +
    +
    +     + ); +} diff --git a/src/frontend/src/components/chatComponent/index.tsx b/src/frontend/src/components/chatComponent/index.tsx index 11516f004..dc51c0fb7 100644 --- a/src/frontend/src/components/chatComponent/index.tsx +++ b/src/frontend/src/components/chatComponent/index.tsx @@ -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 { useEffect, useRef, useState } from "react"; -const _ = require("lodash"); +import { ChatMessageType, ChatType } from "../../types/chat"; +import ChatTrigger from "./chatTrigger"; +import ChatModal from "../../modals/chatModal"; -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); - }; +import _ from "lodash"; + +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 { - 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, 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, - }); + const handleKeyDown = (event: KeyboardEvent) => { + if ( + (event.key === "K" || event.key === "k") && + (event.metaKey || event.ctrlKey) + ) { + event.preventDefault(); + setOpen((oldState) => !oldState); } - } else { - setErrorData({ - title: "Error sending message", - list: ["The message cannot be empty."], - }); - } - } - function clearChat() { - setChatHistory([]); - updateFlow({ ..._.cloneDeep(flow), chat: [] }); - } - + }; + document.addEventListener("keydown", handleKeyDown); + return () => { + document.removeEventListener("keydown", handleKeyDown); + }; + }, []); return ( <> - -
    -
    -
    { - setOpen(false); - }} - className="flex justify-between cursor-pointer items-center px-5 py-2 border-b dark:border-b-gray-700" - > -
    - - Chat -
    - -
    -
    - {chatHistory.map((c, i) => ( - - ))} -
    -
    -
    -
    - { - 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..."} - /> -
    - -
    -
    -
    -
    -
    -     - -
    -
    - -
    -
    -     + + ); } diff --git a/src/frontend/src/components/codeAreaComponent/index.tsx b/src/frontend/src/components/codeAreaComponent/index.tsx index 756296970..2086b467c 100644 --- a/src/frontend/src/components/codeAreaComponent/index.tsx +++ b/src/frontend/src/components/codeAreaComponent/index.tsx @@ -19,9 +19,24 @@ export default function CodeAreaComponent({ } }, [disabled, onChange]); return ( -
    +
    { + openPopUp( + { + setMyValue(t); + onChange(t); + }} + /> + ); + }} className={ "truncate block w-full text-gray-500 px-3 py-2 rounded-md border border-gray-300 dark:border-gray-700 shadow-sm focus:border-indigo-500 focus:ring-indigo-500 sm:text-sm" + (disabled ? " bg-gray-200" : "") diff --git a/src/frontend/src/components/dropdownComponent/index.tsx b/src/frontend/src/components/dropdownComponent/index.tsx index 1bd163310..92085d8b8 100644 --- a/src/frontend/src/components/dropdownComponent/index.tsx +++ b/src/frontend/src/components/dropdownComponent/index.tsx @@ -4,80 +4,91 @@ import { Fragment, useState } from "react"; import { DropDownComponentType } from "../../types/components"; import { classNames } from "../../utils"; -export default function Dropdown({value, options, onSelect}:DropDownComponentType) { - let [internalValue,setInternalValue] = useState(value===""||!value?"Choose an option":value) - return ( - <> - { - setInternalValue(value) - onSelect(value) - }}> - {({ open }) => ( - <> -
    - - {internalValue} - - - +export default function Dropdown({ + value, + options, + onSelect, +}: DropDownComponentType) { + let [internalValue, setInternalValue] = useState( + value === "" || !value ? "Choose an option" : value + ); + return ( + <> + { + setInternalValue(value); + onSelect(value); + }} + > + {({ open }) => ( + <> +
    + + {internalValue} + + + - - - {options.map((option, id) => ( - - classNames( - active ? "text-white bg-indigo-600" : "text-gray-900", - "relative cursor-default select-none py-2 pl-3 pr-9" - ) - } - value={option} - > - {({ selected, active }) => ( - <> - - {option} - + + + {options.map((option, id) => ( + + classNames( + active + ? "text-white bg-indigo-600 dark:bg-indigo-500" + : "text-gray-900", + "relative cursor-default select-none py-2 pl-3 pr-9 dark:text-gray-300 dark:bg-gray-800" + ) + } + value={option} + > + {({ selected, active }) => ( + <> + + {option} + - {selected ? ( - - - ) : null} - - )} - - ))} - - -
    - - )} -     - - ); + {selected ? ( + + + ) : null} + + )} + + ))} + + +
    + + )} +     + + ); } diff --git a/src/frontend/src/components/floatComponent/index.tsx b/src/frontend/src/components/floatComponent/index.tsx index adce64ba5..11a1dedbc 100644 --- a/src/frontend/src/components/floatComponent/index.tsx +++ b/src/frontend/src/components/floatComponent/index.tsx @@ -1,26 +1,41 @@ -import { useEffect, useState } from "react"; +import { useContext, useEffect, useState } from "react"; import { FloatComponentType } from "../../types/components"; +import { TabsContext } from "../../contexts/tabsContext"; -export default function FloatComponent({value, onChange, disabled}: FloatComponentType){ - const [myValue, setMyValue] = useState(value ?? ""); - useEffect(()=> { - if(disabled){ - setMyValue(""); - onChange(""); - } - }, [disabled, onChange]) - return ( -
    - { - setMyValue(e.target.value); - onChange(e.target.value); - }} - /> -
    - ); -} \ No newline at end of file +export default function FloatComponent({ + value, + onChange, + disabled, +}: FloatComponentType) { + const [myValue, setMyValue] = useState(value ?? ""); + useEffect(() => { + if (disabled) { + setMyValue(""); + onChange(""); + } + }, [disabled, onChange]); + const {setDisableCP} = useContext(TabsContext) + return ( +
    + { + setMyValue(e.target.value); + onChange(e.target.value); + }} + onBlur={() => { + setDisableCP(false) + }} + onFocus={() => { + setDisableCP(true) + }} + /> +
    + ); +} diff --git a/src/frontend/src/components/inputComponent/index.tsx b/src/frontend/src/components/inputComponent/index.tsx index 5858d4bf6..778d9d6ef 100644 --- a/src/frontend/src/components/inputComponent/index.tsx +++ b/src/frontend/src/components/inputComponent/index.tsx @@ -1,6 +1,7 @@ -import { useEffect, useState } from "react"; +import { useContext, useEffect, useState } from "react"; import { InputComponentType } from "../../types/components"; import { classNames } from "../../utils"; +import { TabsContext } from "../../contexts/tabsContext"; export default function InputComponent({ value, @@ -9,6 +10,8 @@ export default function InputComponent({ password, }: InputComponentType) { const [myValue, setMyValue] = useState(value ?? ""); + const [pwdVisible, setPwdVisible] = useState(false); + const {setDisableCP} = useContext(TabsContext) useEffect(() => { if (disabled) { setMyValue(""); @@ -16,14 +19,25 @@ export default function InputComponent({ } }, [disabled, onChange]); return ( -
    +
    { + setDisableCP(false) + }} + onFocus={() => { + setDisableCP(true) + }} className={classNames( - "block w-full form-input dark:bg-gray-900 dark:border-gray-600 rounded-md border-gray-300 shadow-sm focus:border-indigo-500 focus:ring-indigo-500 sm:text-sm", + "block w-full pr-12 form-input dark:bg-gray-900 dark:border-gray-600 rounded-md border-gray-300 shadow-sm focus:border-indigo-500 focus:ring-indigo-500 sm:text-sm", disabled ? " bg-gray-200 dark:bg-gray-700" : "", - password && myValue.length>0?"password":"" + password && !pwdVisible && myValue !== "" ? "password" : "" )} placeholder="Type a text" onChange={(e) => { @@ -31,6 +45,50 @@ export default function InputComponent({ onChange(e.target.value); }} /> +
    ); } diff --git a/src/frontend/src/components/inputFileComponent/index.tsx b/src/frontend/src/components/inputFileComponent/index.tsx index 36d13e918..01a500f91 100644 --- a/src/frontend/src/components/inputFileComponent/index.tsx +++ b/src/frontend/src/components/inputFileComponent/index.tsx @@ -9,7 +9,7 @@ export default function InputFileComponent({ disabled, suffixes, fileTypes, - onFileChange + onFileChange, }: FileComponentType) { const [myValue, setMyValue] = useState(value); const { setErrorData } = useContext(alertContext); @@ -17,23 +17,23 @@ export default function InputFileComponent({ if (disabled) { setMyValue(""); onChange(""); - onFileChange("") + onFileChange(""); } }, [disabled, onChange]); function attachFile(fileReadEvent: ProgressEvent) { fileReadEvent.preventDefault(); const file = fileReadEvent.target.result; - onFileChange(file as string) + onFileChange(file as string); } - function checkFileType(fileName:string):boolean{ + function checkFileType(fileName: string): boolean { for (let index = 0; index < suffixes.length; index++) { - if(fileName.endsWith(suffixes[index])){ - return true + if (fileName.endsWith(suffixes[index])) { + return true; } } - return false + return false; } const handleButtonClick = () => { @@ -69,8 +69,9 @@ export default function InputFileComponent({ >
    diff --git a/src/frontend/src/components/inputListComponent/index.tsx b/src/frontend/src/components/inputListComponent/index.tsx index ae583b1f6..c7bfa53fb 100644 --- a/src/frontend/src/components/inputListComponent/index.tsx +++ b/src/frontend/src/components/inputListComponent/index.tsx @@ -1,54 +1,84 @@ import { PlusIcon, XMarkIcon } from "@heroicons/react/24/outline"; -import { useEffect, useState } from "react"; +import { useContext, useEffect, useState } from "react"; import { InputListComponentType } from "../../types/components"; +import { TabsContext } from "../../contexts/tabsContext"; -var _ = require("lodash"); +import _ from "lodash"; -export default function InputListComponent({ value, onChange, disabled}:InputListComponentType) { - const [inputList, setInputList] = useState(value ?? [""]); - useEffect(()=> { - if(disabled){ - setInputList([""]); - onChange([""]); - } -}, [disabled, onChange]) - return ( -
    - {inputList.map((i, idx) => ( -
    - { - setInputList((old) => { - let newInputList = _.cloneDeep(old); - newInputList[idx] = e.target.value; - return newInputList; - }); - onChange(inputList); - }} - /> - {idx === inputList.length - 1 ? - - : } -
    - ))} -
    - ); +export default function InputListComponent({ + value, + onChange, + disabled, +}: InputListComponentType) { + const [inputList, setInputList] = useState(value ?? [""]); + useEffect(() => { + if (disabled) { + setInputList([""]); + onChange([""]); + } + }, [disabled, onChange]); + const {setDisableCP} = useContext(TabsContext) + return ( +
    + {inputList.map((i, idx) => ( +
    + { + setInputList((old) => { + let newInputList = _.cloneDeep(old); + newInputList[idx] = e.target.value; + return newInputList; + }); + onChange(inputList); + }} + onBlur={() => { + setDisableCP(false) + }} + onFocus={() => { + setDisableCP(true) + }} + /> + {idx === inputList.length - 1 ? ( + + ) : ( + + )} +
    + ))} +
    + ); } diff --git a/src/frontend/src/components/intComponent/index.tsx b/src/frontend/src/components/intComponent/index.tsx index 520a78c0d..da38c02bb 100644 --- a/src/frontend/src/components/intComponent/index.tsx +++ b/src/frontend/src/components/intComponent/index.tsx @@ -1,5 +1,6 @@ -import { useEffect, useState } from "react"; +import { useContext, useEffect, useState } from "react"; import { FloatComponentType } from "../../types/components"; +import { TabsContext } from "../../contexts/tabsContext"; export default function IntComponent({ value, @@ -13,13 +14,25 @@ export default function IntComponent({ onChange(""); } }, [disabled, onChange]); + const {setDisableCP} =useContext(TabsContext) return ( -
    +
    { - if (event.key !== 'Backspace' && event.key !== 'Enter' && event.key !== 'Delete' && event.key !== 'ArrowLeft' && event.key !== 'ArrowRight' && !/^[-]?\d*$/.test(event.key)) { - event.preventDefault(); - } + if ( + event.key !== "Backspace" && + event.key !== "Enter" && + event.key !== "Delete" && + event.key !== "ArrowLeft" && + event.key !== "ArrowRight" && + !/^[-]?\d*$/.test(event.key) + ) { + event.preventDefault(); + } }} type="number" value={myValue} @@ -32,7 +45,14 @@ export default function IntComponent({ setMyValue(e.target.value); onChange(e.target.value); }} + onBlur={() => { + setDisableCP(false) + }} + onFocus={() => { + setDisableCP(true) + }} /> +
    ); } diff --git a/src/frontend/src/components/loadingComponent/index.tsx b/src/frontend/src/components/loadingComponent/index.tsx index 668c1c5a8..43d6d9d75 100644 --- a/src/frontend/src/components/loadingComponent/index.tsx +++ b/src/frontend/src/components/loadingComponent/index.tsx @@ -1,16 +1,28 @@ -type LoadingComponentProps={ - remSize:number +type LoadingComponentProps = { + remSize: number; +}; + +export default function LoadingComponent({ remSize }: LoadingComponentProps) { + return ( +
    + +

    + Loading... +
    + ); } - - -export default function LoadingComponent({remSize}:LoadingComponentProps){ - return( -
    - - Loading... -
    - ) -} \ No newline at end of file diff --git a/src/frontend/src/components/promptComponent/index.tsx b/src/frontend/src/components/promptComponent/index.tsx index 6ad51f87b..71ad501c9 100644 --- a/src/frontend/src/components/promptComponent/index.tsx +++ b/src/frontend/src/components/promptComponent/index.tsx @@ -6,30 +6,61 @@ import TextAreaModal from "../../modals/textAreaModal"; import { TextAreaComponentType } from "../../types/components"; import PromptAreaModal from "../../modals/promptModal"; -export default function PromptAreaComponent({ value, onChange, disabled }:TextAreaComponentType) { - const [myValue, setMyValue] = useState(value); - const { openPopUp } = useContext(PopUpContext); - useEffect(() => { - if (disabled) { - setMyValue(""); - onChange(""); - } - }, [disabled, onChange]); - return ( -
    -
    - - {myValue !== "" ? myValue : 'Text empty'} - - -
    -
    - ); +export default function PromptAreaComponent({ + value, + onChange, + disabled, +}: TextAreaComponentType) { + const [myValue, setMyValue] = useState(value); + const { openPopUp } = useContext(PopUpContext); + useEffect(() => { + if (disabled) { + setMyValue(""); + onChange(""); + } + }, [disabled, onChange]); + return ( +
    +
    + { + openPopUp( + { + setMyValue(t); + onChange(t); + }} + /> + ); + }} + className={ + "truncate block w-full text-gray-500 px-3 py-2 rounded-md border border-gray-300 dark:border-gray-700 shadow-sm focus:border-indigo-500 focus:ring-indigo-500 sm:text-sm" + + (disabled ? " bg-gray-200" : "") + } + > + {myValue !== "" ? myValue : "Text empty"} + + +
    +
    + ); } diff --git a/src/frontend/src/components/textAreaComponent/index.tsx b/src/frontend/src/components/textAreaComponent/index.tsx index df61e1ae1..17afe304e 100644 --- a/src/frontend/src/components/textAreaComponent/index.tsx +++ b/src/frontend/src/components/textAreaComponent/index.tsx @@ -1,7 +1,6 @@ import { ArrowTopRightOnSquareIcon } from "@heroicons/react/24/outline"; import { useContext, useEffect, useState } from "react"; import { PopUpContext } from "../../contexts/popUpContext"; -import CodeAreaModal from "../../modals/codeAreaModal"; import TextAreaModal from "../../modals/textAreaModal"; import { TextAreaComponentType } from "../../types/components"; @@ -17,9 +16,9 @@ export default function TextAreaComponent({ value, onChange, disabled }:TextArea return (
    - {openPopUp( {setMyValue(t); onChange(t);}}/>)}} className={ - "truncate block w-full text-gray-500 px-3 py-2 rounded-md border border-gray-300 dark:border-gray-700 shadow-sm focus:border-indigo-500 focus:ring-indigo-500 sm:text-sm" + + "truncate block w-full text-gray-500 dark:text-gray-100 px-3 py-2 rounded-md border border-gray-300 dark:border-gray-700 shadow-sm focus:border-indigo-500 focus:ring-indigo-500 sm:text-sm" + (disabled ? " bg-gray-200" : "") } > diff --git a/src/frontend/src/components/toggleComponent/index.tsx b/src/frontend/src/components/toggleComponent/index.tsx index 4cd6ee615..102512ab3 100644 --- a/src/frontend/src/components/toggleComponent/index.tsx +++ b/src/frontend/src/components/toggleComponent/index.tsx @@ -3,73 +3,80 @@ import { classNames } from "../../utils"; import { useEffect } from "react"; import { ToggleComponentType } from "../../types/components"; -export default function ToggleComponent({ enabled, setEnabled, disabled }:ToggleComponentType) { - useEffect(()=> { - if(disabled){ - setEnabled(false); - } -}, [disabled, setEnabled]) - return ( -
    - { - setEnabled(x); - }} - className={classNames( - enabled ? "bg-indigo-600" : "bg-gray-200 dark:bg-gray-600", - "relative inline-flex h-6 w-11 flex-shrink-0 cursor-pointer rounded-full border-2 border-transparent transition-colors duration-200 ease-in-out " - )} - > - Use setting - - - - - -
    - ); +export default function ToggleComponent({ + enabled, + setEnabled, + disabled, +}: ToggleComponentType) { + useEffect(() => { + if (disabled) { + setEnabled(false); + } + }, [disabled, setEnabled]); + return ( +
    + { + setEnabled(x); + }} + className={classNames( + enabled ? "bg-indigo-600" : "bg-gray-200 dark:bg-gray-600", + "relative inline-flex h-6 w-11 flex-shrink-0 cursor-pointer rounded-full border-2 border-transparent transition-colors duration-200 ease-in-out " + )} + > + Use setting + + + + + +
    + ); } diff --git a/src/frontend/src/contexts/alertContext.tsx b/src/frontend/src/contexts/alertContext.tsx index 0fba6f65e..ef18ade39 100644 --- a/src/frontend/src/contexts/alertContext.tsx +++ b/src/frontend/src/contexts/alertContext.tsx @@ -1,7 +1,7 @@ import { createContext, ReactNode, useState } from "react"; import { AlertItemType } from "../types/alerts"; -var _ = require("lodash"); +import _ from "lodash"; //types for alertContextType type alertContextType = { @@ -20,13 +20,13 @@ type alertContextType = { notificationCenter: boolean; setNotificationCenter: (newState: boolean) => void; notificationList: Array; - pushNotificationList: (Object:AlertItemType) => void; + pushNotificationList: (Object: AlertItemType) => void; clearNotificationList: () => void; removeFromNotificationList: (index: string) => void; }; //initial values to alertContextType -const initialValue:alertContextType = { +const initialValue: alertContextType = { errorData: { title: "", list: [] }, setErrorData: () => {}, errorOpen: false, @@ -49,7 +49,7 @@ const initialValue:alertContextType = { export const alertContext = createContext(initialValue); -export function AlertProvider({ children }:{children:ReactNode}) { +export function AlertProvider({ children }: { children: ReactNode }) { const [errorData, setErrorDataState] = useState<{ title: string; list?: Array; @@ -73,68 +73,69 @@ export function AlertProvider({ children }:{children:ReactNode}) { return newNotificationList; }); }; -/** - * Sets the error data state, opens the error dialog and pushes the new error notification to the notification list - * @param newState An object containing the new error data, including title and optional list of error messages - */ -function setErrorData(newState: { title: string; list?: Array }) { - setErrorDataState(newState); - setErrorOpen(true); - if (newState.title) { - setNotificationCenter(true); - pushNotificationList({ - type: "error", - title: newState.title, - list: newState.list, - id: _.uniqueId(), - }); + /** + * Sets the error data state, opens the error dialog and pushes the new error notification to the notification list + * @param newState An object containing the new error data, including title and optional list of error messages + */ + function setErrorData(newState: { title: string; list?: Array }) { + setErrorDataState(newState); + setErrorOpen(true); + if (newState.title) { + setNotificationCenter(true); + pushNotificationList({ + type: "error", + title: newState.title, + list: newState.list, + id: _.uniqueId(), + }); + } } -} -/** - * Sets the state of the notice data and opens the notice modal, also adds a new notice to the notification center if the title is defined. - * @param newState An object containing the title of the notice and optionally a link. - */ -function setNoticeData(newState: { title: string; link?: string }) { - setNoticeDataState(newState); - setNoticeOpen(true); - if (newState.title) { - // Add new notice to notification center - setNotificationCenter(true); - pushNotificationList({ - type: "notice", - title: newState.title, - link: newState.link, - id: _.uniqueId(), - }); + /** + * Sets the state of the notice data and opens the notice modal, also adds a new notice to the notification center if the title is defined. + * @param newState An object containing the title of the notice and optionally a link. + */ + function setNoticeData(newState: { title: string; link?: string }) { + setNoticeDataState(newState); + setNoticeOpen(true); + if (newState.title) { + // Add new notice to notification center + setNotificationCenter(true); + pushNotificationList({ + type: "notice", + title: newState.title, + link: newState.link, + id: _.uniqueId(), + }); + } } -} -/** - * Update the success data state and show a success alert notification. - * @param newState - A state object with a "title" property to set in the success data state. - */ -function setSuccessData(newState: { title: string }) { - setSuccessDataState(newState); // update the success data state with the provided new state - setSuccessOpen(true); // open the success alert + /** + * Update the success data state and show a success alert notification. + * @param newState - A state object with a "title" property to set in the success data state. + */ + function setSuccessData(newState: { title: string }) { + setSuccessDataState(newState); // update the success data state with the provided new state + setSuccessOpen(true); // open the success alert - // If the new state has a "title" property, add a new success notification to the list - if (newState.title) { - setNotificationCenter(true); // show the notification center - pushNotificationList({ // add the new notification to the list - type: "success", - title: newState.title, - id: _.uniqueId(), - }); + // If the new state has a "title" property, add a new success notification to the list + if (newState.title) { + setNotificationCenter(true); // show the notification center + pushNotificationList({ + // add the new notification to the list + type: "success", + title: newState.title, + id: _.uniqueId(), + }); + } } -} function clearNotificationList() { setNotificationList([]); } function removeFromNotificationList(index: string) { // set the notification list to a new array that filters out the alert with the matching id setNotificationList((prevAlertsList) => - prevAlertsList.filter((alert) => alert.id !== index) + prevAlertsList.filter((alert) => alert.id !== index) ); - } + } return ( (initialValue); export function DarkProvider({ children }) { const [dark, setDark] = useState(false); - useEffect(()=>{ - if(dark){ + useEffect(() => { + if (dark) { document.getElementById("body").classList.add("dark"); } else { document.getElementById("body").classList.remove("dark"); } - }, [dark]) + }, [dark]); return ( ); -} \ No newline at end of file +} diff --git a/src/frontend/src/contexts/index.tsx b/src/frontend/src/contexts/index.tsx index 310606ea5..bef4298e9 100644 --- a/src/frontend/src/contexts/index.tsx +++ b/src/frontend/src/contexts/index.tsx @@ -11,17 +11,15 @@ export default function ContextWrapper({ children }: { children: ReactNode }) { return ( <> - - - - - - {children} - - - - - + + + + + {children} + + + + ); diff --git a/src/frontend/src/contexts/locationContext.tsx b/src/frontend/src/contexts/locationContext.tsx index dbefaa7c9..a73db24fe 100644 --- a/src/frontend/src/contexts/locationContext.tsx +++ b/src/frontend/src/contexts/locationContext.tsx @@ -32,7 +32,7 @@ type locationContextType = { //initial value for location context const initialValue = { - //actual + //actual current: window.location.pathname.replace(/\/$/g, "").split("/"), isStackedOpen: window.innerWidth > 1024 && window.location.pathname.split("/")[1] @@ -50,7 +50,7 @@ const initialValue = { export const locationContext = createContext(initialValue); -export function LocationProvider({ children }:{children:ReactNode}) { +export function LocationProvider({ children }: { children: ReactNode }) { const [current, setCurrent] = useState(initialValue.current); const [isStackedOpen, setIsStackedOpen] = useState( initialValue.isStackedOpen diff --git a/src/frontend/src/contexts/popUpContext.tsx b/src/frontend/src/contexts/popUpContext.tsx index 1d4d28bc7..b8c47dea2 100644 --- a/src/frontend/src/contexts/popUpContext.tsx +++ b/src/frontend/src/contexts/popUpContext.tsx @@ -1,9 +1,9 @@ import { createContext } from "react"; import React, { useState } from "react"; -//context to set JSX element on the DOM +// context to set JSX element on the DOM export const PopUpContext = createContext({ - openPopUp: (popUpElement: JSX.Element) => {}, + openPopUp: (popUpElement: JSX.Element) => {}, closePopUp: () => {}, }); @@ -12,20 +12,20 @@ interface PopUpProviderProps { } const PopUpProvider = ({ children }: PopUpProviderProps) => { - const [popUpElement, setPopUpElement] = useState(null); + const [popUpElements, setPopUpElements] = useState([]); const openPopUp = (element: JSX.Element) => { - setPopUpElement(element); + setPopUpElements((prevPopUps) => [element, ...prevPopUps]); }; const closePopUp = () => { - setPopUpElement(null); + setPopUpElements((prevPopUps) => prevPopUps.slice(1)); }; return ( {children} - {popUpElement} + {popUpElements[0]} ); }; diff --git a/src/frontend/src/contexts/tabsContext.tsx b/src/frontend/src/contexts/tabsContext.tsx index a11f0339d..735f93eaf 100644 --- a/src/frontend/src/contexts/tabsContext.tsx +++ b/src/frontend/src/contexts/tabsContext.tsx @@ -1,11 +1,21 @@ -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 { LangFlowState, TabsContextType } from "../types/tabs"; +import { normalCaseToSnakeCase, updateObject, updateTemplate } from "../utils"; import { alertContext } from "./alertContext"; +import { typesContext } from "./typesContext"; +import { APITemplateType, TemplateVariableType } from "../types/api"; +import { v4 as uuidv4 } from "uuid"; const TabsContextInitialValue: TabsContextType = { - save:()=>{}, + save: () => {}, tabIndex: 0, setTabIndex: (index: number) => {}, flows: [], @@ -13,11 +23,11 @@ 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: () => {}, + disableCP:false, + setDisableCP:(state:boolean)=>{}, }; export const TabsContext = createContext( @@ -25,51 +35,64 @@ export const TabsContext = createContext( ); export function TabsProvider({ children }: { children: ReactNode }) { - const {setNoticeData} = useContext(alertContext) + const { setNoticeData } = useContext(alertContext); const [tabIndex, setTabIndex] = useState(0); const [flows, setFlows] = useState>([]); - const [id, setId] = useState(0); - const [lockChat, setLockChat] = useState(false); + const [id, setId] = useState(""); + const { templates } = useContext(typesContext); 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"); - if (cookie) { - let cookieObject = JSON.parse(cookie); + if (cookie && Object.keys(templates).length > 0) { + let cookieObject: LangFlowState = JSON.parse(cookie); + cookieObject.flows.forEach((flow) => { + flow.data.nodes.forEach((node) => { + if (Object.keys(templates[node.data.type]["template"]).length > 0) { + node.data.node.template = updateTemplate( + templates[node.data.type][ + "template" + ] as unknown as APITemplateType, + + node.data.node.template as APITemplateType + ); + } + }); + }); setTabIndex(cookieObject.tabIndex); setFlows(cookieObject.flows); setId(cookieObject.id); newNodeId.current = cookieObject.nodeId; } - }, []); - function hardReset(){ - newNodeId.current=0; - setTabIndex(0);setFlows([]);setId(0); + }, [templates]); + function hardReset() { + newNodeId.current = 0; + setTabIndex(0); + setFlows([]); + setId(""); } /** * 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) @@ -78,11 +101,13 @@ export function TabsProvider({ children }: { children: ReactNode }) { // create a link element and set its properties const link = document.createElement("a"); link.href = jsonString; - link.download = `${normalCaseToSnakeCase(flows[tabIndex].name)}.json`; + link.download = `${flows[tabIndex].name}.json`; // 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.", + }); } /** @@ -103,7 +128,9 @@ export function TabsProvider({ children }: { children: ReactNode }) { // read the file as text file.text().then((text) => { // parse the text into a JSON object - addFlow(JSON.parse(text)); + let flow: FlowType = JSON.parse(text); + + addFlow(flow); }); } }; @@ -139,19 +166,28 @@ 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 : ""; + if (data) { + data.nodes.forEach((node) => { + if (Object.keys(templates[node.data.type]["template"]).length > 0) { + node.data.node.template = updateTemplate( + templates[node.data.type]["template"] as unknown as APITemplateType, + node.data.node.template as APITemplateType + ); + } + }); + } // 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) => { @@ -171,22 +207,22 @@ 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; }); } + const [disableCP, setDisableCP] = useState(false); return ( {}, deleteNode: () => {}, types: {}, setTypes: () => {}, + templates: {}, + setTemplates: () => {}, + data: {}, + setData: () => {}, }; export const typesContext = createContext(initialValue); -export function TypesProvider({ children }:{children:ReactNode}) { +export function TypesProvider({ children }: { children: ReactNode }) { const [types, setTypes] = useState({}); const [reactFlowInstance, setReactFlowInstance] = useState(null); - function deleteNode(idx:string) { + const [templates, setTemplates] = useState({}); + const [data, setData] = useState({}); + + useEffect(() => { + async function getTypes(): Promise { + // Make an asynchronous API call to retrieve all data. + let result = await getAll(); + + // Update the state of the component with the retrieved data. + setData(result.data); + setTemplates( + Object.keys(result.data).reduce((acc, curr) => { + Object.keys(result.data[curr]).forEach((c: keyof APIKindType) => { + acc[c] = result.data[curr][c]; + }); + return acc; + }, {}) + ); + // Set the types by reducing over the keys of the result data and updating the accumulator. + setTypes( + Object.keys(result.data).reduce((acc, curr) => { + Object.keys(result.data[curr]).forEach((c: keyof APIKindType) => { + acc[c] = curr; + // Add the base classes to the accumulator as well. + result.data[curr][c].base_classes?.forEach((b) => { + acc[b] = curr; + }); + }); + return acc; + }, {}) + ); + } + // Call the getTypes function. + getTypes(); + }, [setTypes]); + + function deleteNode(idx: string) { reactFlowInstance.setNodes( - reactFlowInstance.getNodes().filter((n:Node) => n.id !== idx) + reactFlowInstance.getNodes().filter((n: Node) => n.id !== idx) + ); + reactFlowInstance.setEdges( + reactFlowInstance + .getEdges() + .filter((ns) => ns.source !== idx && ns.target !== idx) ); - reactFlowInstance.setEdges(reactFlowInstance.getEdges().filter((ns) => ns.source !== idx && ns.target !== idx)); } return ( {children} diff --git a/src/frontend/src/controllers/API/index.ts b/src/frontend/src/controllers/API/index.ts index 8fa7ff527..9a93a9b36 100644 --- a/src/frontend/src/controllers/API/index.ts +++ b/src/frontend/src/controllers/API/index.ts @@ -1,21 +1,43 @@ -import { PromptTypeAPI, errorsTypeAPI } from './../../types/api/index'; -import { APIObjectType, sendAllProps } from '../../types/api/index'; +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> { - return await axios.get(`/all`); +export async function getAll(): Promise> { + return await axios.get(`/all`); } -export async function sendAll(data:sendAllProps) { - return await axios.post(`/predict`, data); +export async function sendAll(data: sendAllProps) { + return await axios.post(`/predict`, data); } -export async function checkCode(code:string):Promise>{ - - return await axios.post('/validate/code',{code}) +export async function checkCode( + code: string +): Promise> { + return await axios.post("/validate/code", { code }); } -export async function checkPrompt(template:string):Promise>{ +export async function checkPrompt( + template: string +): Promise> { + return await axios.post("/validate/prompt", { template }); +} - return await axios.post('/validate/prompt',{template}) -} \ No newline at end of file +export async function getExamples(): Promise { + 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; +} diff --git a/src/frontend/src/index.css b/src/frontend/src/index.css index 95681f059..899fb1c87 100644 --- a/src/frontend/src/index.css +++ b/src/frontend/src/index.css @@ -1,15 +1,17 @@ - +@tailwind base; +@tailwind components; +@tailwind utilities; body { - margin: 0; - font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', 'Roboto', 'Oxygen', - 'Ubuntu', 'Cantarell', 'Fira Sans', 'Droid Sans', 'Helvetica Neue', - sans-serif; - -webkit-font-smoothing: antialiased; - -moz-osx-font-smoothing: grayscale; + margin: 0; + font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "Roboto", "Oxygen", + "Ubuntu", "Cantarell", "Fira Sans", "Droid Sans", "Helvetica Neue", + sans-serif; + -webkit-font-smoothing: antialiased; + -moz-osx-font-smoothing: grayscale; } code { - font-family: source-code-pro, Menlo, Monaco, Consolas, 'Courier New', - monospace; + font-family: source-code-pro, Menlo, Monaco, Consolas, "Courier New", + monospace; } diff --git a/src/frontend/src/index.tsx b/src/frontend/src/index.tsx index c71219a94..5857efd9a 100644 --- a/src/frontend/src/index.tsx +++ b/src/frontend/src/index.tsx @@ -5,14 +5,15 @@ import reportWebVitals from "./reportWebVitals"; import { BrowserRouter } from "react-router-dom"; import ContextWrapper from "./contexts"; +import './index.css'; + const root = ReactDOM.createRoot( document.getElementById("root") as HTMLElement ); root.render( - - + ); diff --git a/src/frontend/src/modals/ApiModal/index.tsx b/src/frontend/src/modals/ApiModal/index.tsx new file mode 100644 index 000000000..6fc788253 --- /dev/null +++ b/src/frontend/src/modals/ApiModal/index.tsx @@ -0,0 +1,186 @@ +import { Dialog, Transition } from "@headlessui/react"; +import { IconCheck, IconClipboard, IconDownload } from '@tabler/icons-react'; +import { XMarkIcon, CommandLineIcon, CodeBracketSquareIcon } from "@heroicons/react/24/outline"; +import { Fragment, useContext, useRef, useState } from "react"; +import { PopUpContext } from "../../contexts/popUpContext"; +import "ace-builds/src-noconflict/mode-python"; +import "ace-builds/src-noconflict/theme-github"; +import "ace-builds/src-noconflict/theme-twilight"; +import "ace-builds/src-noconflict/ext-language_tools"; +// import "ace-builds/webpack-resolver"; +import { darkContext } from "../../contexts/darkContext"; +import { Prism as SyntaxHighlighter } from 'react-syntax-highlighter'; +import { oneDark } from 'react-syntax-highlighter/dist/cjs/styles/prism'; + + + +export default function ApiModal({ flowName }) { + const [open, setOpen] = useState(true); + const { dark } = useContext(darkContext); + const { closePopUp } = useContext(PopUpContext); + const [activeTab, setActiveTab] = useState(0); + const ref = useRef(); + const [isCopied, setIsCopied] = useState(false); + + const copyToClipboard = () => { + if (!navigator.clipboard || !navigator.clipboard.writeText) { + return; + } + + navigator.clipboard.writeText(tabs[activeTab].code).then(() => { + setIsCopied(true); + + setTimeout(() => { + setIsCopied(false); + }, 2000); + }); + }; + function setModalOpen(x: boolean) { + setOpen(x); + if (x === false) { + setTimeout(() => { + closePopUp(); + }, 300); + } + } + + const pythonApiCode = `import requests + +API_URL = "${window.location.protocol}//${window.location.host}/predict" + +def predict(message): + with open("${flowName}.json", "r") as f: + json_data = json.load(f) + payload = {'exported_flow': json_data, 'message': message} + response = requests.post(API_URL, json=payload) + return response.json() # JSON {"result": "Response"} + +print(predict("Your message"))`; + +const pythonCode = `from langflow import load_flow_from_json + +flow = load_flow_from_json("${flowName}.json") +# Now you can use it like any chain +flow("Hey, have you heard of LangFlow?")`; + + const tabs = [ + { + name: "Python API", + mode: "python", + image: "https://images.squarespace-cdn.com/content/v1/5df3d8c5d2be5962e4f87890/1628015119369-OY4TV3XJJ53ECO0W2OLQ/Python+API+Training+Logo.png?format=1000w", + code: pythonApiCode, + }, + { + name: "Python Code", + mode: "python", + image: "https://cdn-icons-png.flaticon.com/512/5968/5968350.png", + code: pythonCode, + }, + + ] + return ( + + + +
    + + +
    +
    + + +
    + +
    +
    +
    +
    +
    +
    + + Code + +
    +
    +
    +
    +
    + {tabs.map((tab, index) => ( + + ))} +
    +
    +
    + + Export your flow to use it with this code. + + +
    + + {tabs[activeTab].code} + +
    +
    +
    +
    +     +     +
    +
    +
    +     + ); +} diff --git a/src/frontend/src/modals/NodeModal/components/ModalField/index.tsx b/src/frontend/src/modals/NodeModal/components/ModalField/index.tsx new file mode 100644 index 000000000..049131e6b --- /dev/null +++ b/src/frontend/src/modals/NodeModal/components/ModalField/index.tsx @@ -0,0 +1,166 @@ +import { useContext, useState } from "react"; +import { TabsContext } from "../../../../contexts/tabsContext"; +import InputListComponent from "../../../../components/inputListComponent"; +import Dropdown from "../../../../components/dropdownComponent"; +import TextAreaComponent from "../../../../components/textAreaComponent"; +import InputComponent from "../../../../components/inputComponent"; +import ToggleComponent from "../../../../components/toggleComponent"; +import FloatComponent from "../../../../components/floatComponent"; +import IntComponent from "../../../../components/intComponent"; +import InputFileComponent from "../../../../components/inputFileComponent"; +import PromptAreaComponent from "../../../../components/promptComponent"; +import CodeAreaComponent from "../../../../components/codeAreaComponent"; +import { classNames } from "../../../../utils"; + +export default function ModalField({ data, title, required, id, name, type }) { + const { save } = useContext(TabsContext); + const [enabled, setEnabled] = useState( + data.node.template[name]?.value ?? false + ); + const display = + type === "str" || + type === "int" || + type === "prompt" || + type === "bool" || + type === "float" || + type === "file" || + type === "code"; + + return ( +
    + {display && ( +
    + {title} + {required ? " *" : ""} +
    + )} + + {type === "str" && !data.node.template[name].options ? ( +
    + {data.node.template[name].list ? ( + { + data.node.template[name].value = t; + save(); + }} + /> + ) : data.node.template[name].multiline ? ( + { + data.node.template[name].value = t; + save(); + }} + /> + ) : ( + { + data.node.template[name].value = t; + save(); + }} + /> + )} +
    + ) : type === "bool" ? ( +
    + {" "} + { + data.node.template[name].value = t; + setEnabled(t); + save(); + }} + /> +
    + ) : type === "float" ? ( +
    + { + data.node.template[name].value = t; + save(); + }} + /> +
    + ) : type === "str" && data.node.template[name].options ? ( +
    + (data.node.template[name].value = newValue)} + value={data.node.template[name].value ?? "Choose an option"} + > +
    + ) : type === "int" ? ( +
    + { + data.node.template[name].value = t; + save(); + }} + /> +
    + ) : type === "file" ? ( +
    + { + data.node.template[name].value = t; + }} + fileTypes={data.node.template[name].fileTypes} + suffixes={data.node.template[name].suffixes} + onFileChange={(t: string) => { + data.node.template[name].content = t; + save(); + }} + > +
    + ) : type === "prompt" ? ( +
    + { + data.node.template[name].value = t; + save(); + }} + /> +
    + ) : type === "code" ? ( +
    + { + data.node.template[name].value = t; + save(); + }} + /> +
    + ) : ( +
    + )} +
    + ); +} diff --git a/src/frontend/src/modals/NodeModal/index.tsx b/src/frontend/src/modals/NodeModal/index.tsx new file mode 100644 index 000000000..1bc73af6f --- /dev/null +++ b/src/frontend/src/modals/NodeModal/index.tsx @@ -0,0 +1,145 @@ +import { Dialog, Transition } from "@headlessui/react"; +import { XMarkIcon } from "@heroicons/react/24/outline"; +import { Fragment, useContext, useRef, useState } from "react"; +import { PopUpContext } from "../../contexts/popUpContext"; +import { NodeDataType } from "../../types/flow"; +import { nodeColors, nodeIcons, toNormalCase } from "../../utils"; +import { typesContext } from "../../contexts/typesContext"; +import ModalField from "./components/ModalField"; + +export default function NodeModal({ data }: { data: NodeDataType }) { + const [open, setOpen] = useState(true); + const { closePopUp } = useContext(PopUpContext); + const { types } = useContext(typesContext); + const ref = useRef(); + function setModalOpen(x: boolean) { + setOpen(x); + if (x === false) { + setTimeout(() => { + closePopUp(); + }, 300); + } + } + const Icon = nodeIcons[types[data.type]]; + return ( + + + +
    + + +
    +
    + + +
    + +
    +
    +
    + +
    + + {data.type} + +
    +
    +
    +
    +
    +
    + {Object.keys(data.node.template) + .filter( + (t) => + t.charAt(0) !== "_" && + data.node.template[t].advanced && + data.node.template[t].show + ) + .map((t: string, idx) => { + return ( + + ); + })} +
    +
    +
    +
    +
    + +
    +
    +     +     +
    +
    +
    +     + ); +} diff --git a/src/frontend/src/modals/chatModal/chatInput/index.tsx b/src/frontend/src/modals/chatModal/chatInput/index.tsx new file mode 100644 index 000000000..1bea659ca --- /dev/null +++ b/src/frontend/src/modals/chatModal/chatInput/index.tsx @@ -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 ( + <> +
    +