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gunicorn = "^20.1.0" -langchain = "^0.0.194" -openai = "^0.27.7" +langchain = "^0.0.200" +openai = "^0.27.8" types-pyyaml = "^6.0.12.8" -dill = "^0.3.6" pandas = "^1.5.3" chromadb = "^0.3.21" huggingface-hub = "^0.13.3" @@ -57,9 +56,13 @@ jina = "3.15.2" sentence-transformers = "^2.2.2" ctransformers = "^0.2.2" cohere = "^4.6.0" +sqlmodel = "^0.0.8" faiss-cpu = "^1.7.4" anthropic = "^0.2.9" +orjson = "^3.9.0" multiprocess = "^0.70.14" +cachetools = "^5.3.1" +types-cachetools = "^5.3.0.5" [tool.poetry.group.dev.dependencies] diff --git a/src/backend/langflow/__main__.py b/src/backend/langflow/__main__.py index ff99699c4..5598fb78c 100644 --- a/src/backend/langflow/__main__.py +++ b/src/backend/langflow/__main__.py @@ -1,16 +1,18 @@ import sys import time +from fastapi import FastAPI import httpx from multiprocess import Process, cpu_count # type: ignore import platform from pathlib import Path - +from typing import Optional +import socket from rich.panel import Panel from rich import box from rich import print as rprint import typer from fastapi.staticfiles import StaticFiles - +from fastapi.responses import FileResponse from langflow.main import create_app from langflow.settings import settings from langflow.utils.logger import configure, logger @@ -26,10 +28,19 @@ def get_number_of_workers(workers=None): return workers -def update_settings(config: str, dev: bool = False): +def update_settings( + config: str, + dev: bool = False, + database_url: Optional[str] = None, + remove_api_keys: bool = False, +): """Update the settings from a config file.""" if config: settings.update_from_yaml(config, dev=dev) + if database_url: + settings.update_settings(database_url=database_url) + if remove_api_keys: + settings.update_settings(remove_api_keys=remove_api_keys) def serve_on_jcloud(): @@ -93,6 +104,10 @@ def serve( log_file: Path = typer.Option("logs/langflow.log", help="Path to the log file."), jcloud: bool = typer.Option(False, help="Deploy on Jina AI Cloud"), dev: bool = typer.Option(False, help="Run in development mode (may contain bugs)"), + database_url: str = typer.Option( + None, + help="Database URL to connect to. If not provided, a local SQLite database will be used.", + ), path: str = typer.Option( None, help="Path to the frontend directory containing build files. This is for development purposes only.", @@ -100,23 +115,12 @@ def serve( open_browser: bool = typer.Option( True, help="Open the browser after starting the server." ), + remove_api_keys: bool = typer.Option( + False, help="Remove API keys from the projects saved in the database." + ), ): """ Run the Langflow server. - - Args: - host (str): Host to bind the server to. - workers (int): Number of worker processes. - timeout (int): Worker timeout in seconds. - port (int): Port to listen on. - config (str): Path to the configuration file. - env_file (Path): Path to the .env file containing environment variables. - log_level (str): Logging level. - log_file (Path): Path to the log file. - jcloud (bool): Deploy on Jina AI Cloud. - dev (bool): Run in development mode (may contain bugs). - path (str): Path to the frontend directory containing build files. This is for development purposes only. - open_browser (bool): Open the browser after starting the server. """ if jcloud: @@ -125,19 +129,22 @@ def serve( load_dotenv(env_file) configure(log_level=log_level, log_file=log_file) - update_settings(config, dev=dev) - app = create_app() + update_settings( + config, dev=dev, database_url=database_url, remove_api_keys=remove_api_keys + ) # get the directory of the current file if not path: frontend_path = Path(__file__).parent static_files_dir = frontend_path / "frontend" else: static_files_dir = Path(path) - app.mount( - "/", - StaticFiles(directory=static_files_dir, html=True), - name="static", - ) + + app = create_app() + setup_static_files(app, static_files_dir) + # check if port is being used + if is_port_in_use(port, host): + port = get_free_port(port) + options = { "bind": f"{host}:{port}", "workers": get_number_of_workers(workers), @@ -152,7 +159,8 @@ def serve( status_code = 0 while status_code != 200: try: - status_code = httpx.get(f"http://{host}:{port}").status_code + status_code = httpx.get(f"http://{host}:{port}/health").status_code + except Exception: time.sleep(1) @@ -161,11 +169,64 @@ def serve( webbrowser.open(f"http://{host}:{port}") +def setup_static_files(app: FastAPI, static_files_dir: Path): + """ + Setup the static files directory. + + Args: + app (FastAPI): FastAPI app. + path (str): Path to the static files directory. + """ + app.mount( + "/", + StaticFiles(directory=static_files_dir, html=True), + name="static", + ) + + @app.exception_handler(404) + async def custom_404_handler(request, __): + path = static_files_dir / "index.html" + + if not path.exists(): + raise RuntimeError(f"File at path {path} does not exist.") + return FileResponse(path) + + +def is_port_in_use(port, host="localhost"): + """ + Check if a port is in use. + + Args: + port (int): The port number to check. + host (str): The host to check the port on. Defaults to 'localhost'. + + Returns: + bool: True if the port is in use, False otherwise. + """ + with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: + return s.connect_ex((host, port)) == 0 + + +def get_free_port(port): + """ + Given a used port, find a free port. + + Args: + port (int): The port number to check. + + Returns: + int: A free port number. + """ + while is_port_in_use(port): + port += 1 + return port + + def print_banner(host, port): # console = Console() word = "LangFlow" - colors = ["#690080", "#660099", "#4d00b3", "#3300cc", "#1a00e6", "#0000ff"] + colors = ["#3300cc"] styled_word = "" diff --git a/src/backend/langflow/api/router.py b/src/backend/langflow/api/router.py index 23b5aa1c5..f090abe74 100644 --- a/src/backend/langflow/api/router.py +++ b/src/backend/langflow/api/router.py @@ -1,8 +1,18 @@ # Router for base api from fastapi import APIRouter -from langflow.api.v1 import chat_router, endpoints_router, validate_router +from langflow.api.v1 import ( + chat_router, + endpoints_router, + validate_router, + flows_router, + flow_styles_router, +) -router = APIRouter(prefix="/api/v1", tags=["api"]) +router = APIRouter( + prefix="/api/v1", +) router.include_router(chat_router) router.include_router(endpoints_router) router.include_router(validate_router) +router.include_router(flows_router) +router.include_router(flow_styles_router) diff --git a/src/backend/langflow/api/utils.py b/src/backend/langflow/api/utils.py new file mode 100644 index 000000000..bfd9e3da5 --- /dev/null +++ b/src/backend/langflow/api/utils.py @@ -0,0 +1,24 @@ +API_WORDS = ["api", "key", "token"] + + +def has_api_terms(word: str): + return "api" in word and ( + "key" in word or ("token" in word and "tokens" not in word) + ) + + +def remove_api_keys(flow: dict): + """Remove api keys from flow data.""" + if flow.get("data") and flow["data"].get("nodes"): + for node in flow["data"]["nodes"]: + node_data = node.get("data").get("node") + template = node_data.get("template") + for value in template.values(): + if ( + isinstance(value, dict) + and has_api_terms(value["name"]) + and value.get("password") + ): + value["value"] = None + + return flow diff --git a/src/backend/langflow/api/v1/__init__.py b/src/backend/langflow/api/v1/__init__.py index d835b4535..f18f90e42 100644 --- a/src/backend/langflow/api/v1/__init__.py +++ b/src/backend/langflow/api/v1/__init__.py @@ -1,5 +1,13 @@ from langflow.api.v1.endpoints import router as endpoints_router from langflow.api.v1.validate import router as validate_router from langflow.api.v1.chat import router as chat_router +from langflow.api.v1.flows import router as flows_router +from langflow.api.v1.flow_styles import router as flow_styles_router -__all__ = ["chat_router", "endpoints_router", "validate_router"] +__all__ = [ + "chat_router", + "endpoints_router", + "validate_router", + "flows_router", + "flow_styles_router", +] diff --git a/src/backend/langflow/api/v1/chat.py b/src/backend/langflow/api/v1/chat.py index 7df4c65ed..262defed6 100644 --- a/src/backend/langflow/api/v1/chat.py +++ b/src/backend/langflow/api/v1/chat.py @@ -1,26 +1,122 @@ +import json from fastapi import ( APIRouter, + HTTPException, WebSocket, - WebSocketDisconnect, WebSocketException, status, ) +from fastapi.responses import StreamingResponse +from langflow.api.v1.schemas import BuiltResponse, InitResponse from langflow.chat.manager import ChatManager +from langflow.graph.graph.base import Graph from langflow.utils.logger import logger +from cachetools import LRUCache -router = APIRouter() +router = APIRouter(tags=["Chat"]) chat_manager = ChatManager() +flow_data_store: LRUCache = LRUCache(maxsize=10) @router.websocket("/chat/{client_id}") -async def websocket_endpoint(client_id: str, websocket: WebSocket): +async def chat(client_id: str, websocket: WebSocket): """Websocket endpoint for chat.""" try: - await chat_manager.handle_websocket(client_id, websocket) + if client_id in chat_manager.in_memory_cache: + await chat_manager.handle_websocket(client_id, websocket) + else: + message = "Please, build the flow before sending messages" + await websocket.close(code=status.WS_1008_POLICY_VIOLATION, reason=message) except WebSocketException as exc: logger.error(exc) await websocket.close(code=status.WS_1011_INTERNAL_ERROR, reason=str(exc)) - except WebSocketDisconnect as exc: + + +@router.post("/build/init", response_model=InitResponse, status_code=201) +async def init_build(graph_data: dict): + """Initialize the build by storing graph data and returning a unique session ID.""" + + try: + flow_id = graph_data.get("id") + if flow_id is None: + raise ValueError("No ID provided") + flow_data_store[flow_id] = graph_data + + return InitResponse(flowId=flow_id) + except Exception as exc: logger.error(exc) - await websocket.close(code=status.WS_1000_NORMAL_CLOSURE, reason=str(exc)) + return HTTPException(status_code=500, detail=str(exc)) + + +@router.get("/build/{flow_id}/status", response_model=BuiltResponse) +async def build_status(flow_id: str): + """Check the flow_id is in the flow_data_store.""" + try: + built = flow_id in flow_data_store and not isinstance( + flow_data_store[flow_id], dict + ) + + return BuiltResponse( + built=built, + ) + + except Exception as exc: + logger.error(exc) + return HTTPException(status_code=500, detail=str(exc)) + + +@router.get("/build/stream/{flow_id}", response_class=StreamingResponse) +async def stream_build(flow_id: str): + """Stream the build process based on stored flow data.""" + + async def event_stream(flow_id): + final_response = json.dumps({"end_of_stream": True}) + try: + if flow_id not in flow_data_store: + error_message = "Invalid session ID" + yield f"data: {json.dumps({'error': error_message})}\n\n" + return + + graph_data = flow_data_store[flow_id].get("data") + + if not graph_data: + error_message = "No data provided" + yield f"data: {json.dumps({'error': error_message})}\n\n" + return + + logger.debug("Building langchain object") + graph = Graph.from_payload(graph_data) + for node in graph.generator_build(): + try: + node.build() + params = node._built_object_repr() + valid = True + logger.debug( + f"Building node {params[:50]}{'...' if len(params) > 50 else ''}" + ) + except Exception as exc: + params = str(exc) + valid = False + + response = json.dumps( + { + "valid": valid, + "params": params, + "id": node.id, + } + ) + yield f"data: {response}\n\n" + + chat_manager.set_cache(flow_id, graph.build()) + except Exception as exc: + logger.error("Error while building the flow: %s", exc) + yield f"error: {json.dumps({'error': str(exc)})}\n\n" + finally: + yield f"data: {final_response}\n\n" + + try: + return StreamingResponse(event_stream(flow_id), media_type="text/event-stream") + except Exception as exc: + logger.error(exc) + raise HTTPException(status_code=500, detail=str(exc)) diff --git a/src/backend/langflow/api/v1/endpoints.py b/src/backend/langflow/api/v1/endpoints.py index 0427eb291..6fea926d7 100644 --- a/src/backend/langflow/api/v1/endpoints.py +++ b/src/backend/langflow/api/v1/endpoints.py @@ -1,20 +1,20 @@ -import logging -from importlib.metadata import version +from langflow.database.models.flow import Flow +from langflow.processing.process import process_graph_cached, process_tweaks +from langflow.utils.logger import logger -from fastapi import APIRouter, HTTPException +from fastapi import APIRouter, Depends, HTTPException from langflow.api.v1.schemas import ( - ExportedFlow, - GraphData, PredictRequest, PredictResponse, ) from langflow.interface.types import build_langchain_types_dict +from langflow.database.base import get_session +from sqlmodel import Session # build router -router = APIRouter() -logger = logging.getLogger(__name__) +router = APIRouter(tags=["Base"]) @router.get("/all") @@ -22,16 +22,34 @@ def get_all(): return build_langchain_types_dict() -@router.post("/predict", response_model=PredictResponse) -async def get_load(predict_request: PredictRequest): - try: - from langflow.processing.process import process_graph_cached +@router.post("/predict/{flow_id}", response_model=PredictResponse) +async def predict_flow( + predict_request: PredictRequest, + flow_id: str, + session: Session = Depends(get_session), +): + """ + Endpoint to process a message using the flow passed in the bearer token. + """ - 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", "")) + try: + flow = session.get(Flow, flow_id) + if flow is None: + raise ValueError(f"Flow {flow_id} not found") + + if flow.data is None: + raise ValueError(f"Flow {flow_id} has no data") + graph_data = flow.data + if predict_request.tweaks: + try: + graph_data = process_tweaks(graph_data, predict_request.tweaks) + except Exception as exc: + logger.error(f"Error processing tweaks: {exc}") + response = process_graph_cached(graph_data, predict_request.message) + return PredictResponse( + result=response.get("result", ""), + intermediate_steps=response.get("thought", ""), + ) except Exception as e: # Log stack trace logger.exception(e) diff --git a/src/backend/langflow/api/v1/flow_styles.py b/src/backend/langflow/api/v1/flow_styles.py new file mode 100644 index 000000000..40e292eb3 --- /dev/null +++ b/src/backend/langflow/api/v1/flow_styles.py @@ -0,0 +1,83 @@ +from uuid import UUID +from langflow.database.models.flow_style import ( + FlowStyle, + FlowStyleCreate, + FlowStyleRead, + FlowStyleUpdate, +) +from langflow.database.base import get_session +from sqlmodel import Session, select +from fastapi import APIRouter, Depends, HTTPException + + +# build router +router = APIRouter(prefix="/flow_styles", tags=["FlowStyles"]) + +# FlowStyleCreate: +# class FlowStyleBase(SQLModel): +# color: str = Field(index=True) +# emoji: str = Field(index=False) +# flow_id: UUID = Field(default=None, foreign_key="flow.id") + + +@router.post("/", response_model=FlowStyleRead) +def create_flow_style( + *, session: Session = Depends(get_session), flow_style: FlowStyleCreate +): + """Create a new flow_style.""" + db_flow_style = FlowStyle.from_orm(flow_style) + session.add(db_flow_style) + session.commit() + session.refresh(db_flow_style) + return db_flow_style + + +@router.get("/", response_model=list[FlowStyleRead]) +def read_flow_styles(*, session: Session = Depends(get_session)): + """Read all flows.""" + try: + flows = session.exec(select(FlowStyle)).all() + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) from e + return flows + + +@router.get("/{flow_styles_id}", response_model=FlowStyleRead) +def read_flow_style(*, session: Session = Depends(get_session), flow_styles_id: UUID): + """Read a flow_style.""" + if flow_style := session.get(FlowStyle, flow_styles_id): + return flow_style + else: + raise HTTPException(status_code=404, detail="FlowStyle not found") + + +@router.patch("/{flow_style_id}", response_model=FlowStyleRead) +def update_flow_style( + *, + session: Session = Depends(get_session), + flow_style_id: UUID, + flow_style: FlowStyleUpdate, +): + """Update a flow_style.""" + db_flow_style = session.get(FlowStyle, flow_style_id) + if not db_flow_style: + raise HTTPException(status_code=404, detail="FlowStyle not found") + flow_data = flow_style.dict(exclude_unset=True) + for key, value in flow_data.items(): + if hasattr(db_flow_style, key) and value is not None: + setattr(db_flow_style, key, value) + session.add(db_flow_style) + session.commit() + session.refresh(db_flow_style) + return db_flow_style + + +@router.delete("/{flow_id}") +def delete_flow_style(*, session: Session = Depends(get_session), flow_id: UUID): + """Delete a flow_style.""" + flow_style = session.get(FlowStyle, flow_id) + if not flow_style: + raise HTTPException(status_code=404, detail="FlowStyle not found") + session.delete(flow_style) + session.commit() + return {"message": "FlowStyle deleted successfully"} diff --git a/src/backend/langflow/api/v1/flows.py b/src/backend/langflow/api/v1/flows.py new file mode 100644 index 000000000..c440fc18b --- /dev/null +++ b/src/backend/langflow/api/v1/flows.py @@ -0,0 +1,120 @@ +from typing import List +from uuid import UUID +from langflow.settings import settings +from langflow.api.utils import remove_api_keys +from langflow.api.v1.schemas import FlowListCreate, FlowListRead +from langflow.database.models.flow import ( + Flow, + FlowCreate, + FlowRead, + FlowReadWithStyle, + FlowUpdate, +) +from langflow.database.base import get_session +from sqlmodel import Session, select +from fastapi import APIRouter, Depends, HTTPException +from fastapi.encoders import jsonable_encoder + +from fastapi import File, UploadFile +import json + +# build router +router = APIRouter(prefix="/flows", tags=["Flows"]) + + +@router.post("/", response_model=FlowRead, status_code=201) +def create_flow(*, session: Session = Depends(get_session), flow: FlowCreate): + """Create a new flow.""" + db_flow = Flow.from_orm(flow) + session.add(db_flow) + session.commit() + session.refresh(db_flow) + return db_flow + + +@router.get("/", response_model=list[FlowReadWithStyle], status_code=200) +def read_flows(*, session: Session = Depends(get_session)): + """Read all flows.""" + try: + flows = session.exec(select(Flow)).all() + except Exception as e: + raise HTTPException(status_code=500, detail=str(e)) from e + return [jsonable_encoder(flow) for flow in flows] + + +@router.get("/{flow_id}", response_model=FlowReadWithStyle, status_code=200) +def read_flow(*, session: Session = Depends(get_session), flow_id: UUID): + """Read a flow.""" + if flow := session.get(Flow, flow_id): + return flow + else: + raise HTTPException(status_code=404, detail="Flow not found") + + +@router.patch("/{flow_id}", response_model=FlowRead, status_code=200) +def update_flow( + *, session: Session = Depends(get_session), flow_id: UUID, flow: FlowUpdate +): + """Update a flow.""" + + db_flow = session.get(Flow, flow_id) + if not db_flow: + raise HTTPException(status_code=404, detail="Flow not found") + flow_data = flow.dict(exclude_unset=True) + if not settings.remove_api_keys: + flow_data = remove_api_keys(flow_data) + for key, value in flow_data.items(): + setattr(db_flow, key, value) + session.add(db_flow) + session.commit() + session.refresh(db_flow) + return db_flow + + +@router.delete("/{flow_id}", status_code=200) +def delete_flow(*, session: Session = Depends(get_session), flow_id: UUID): + """Delete a flow.""" + flow = session.get(Flow, flow_id) + if not flow: + raise HTTPException(status_code=404, detail="Flow not found") + session.delete(flow) + session.commit() + return {"message": "Flow deleted successfully"} + + +# Define a new model to handle multiple flows + + +@router.post("/batch/", response_model=List[FlowRead], status_code=201) +def create_flows(*, session: Session = Depends(get_session), flow_list: FlowListCreate): + """Create multiple new flows.""" + db_flows = [] + for flow in flow_list.flows: + db_flow = Flow.from_orm(flow) + session.add(db_flow) + db_flows.append(db_flow) + session.commit() + for db_flow in db_flows: + session.refresh(db_flow) + return db_flows + + +@router.post("/upload/", response_model=List[FlowRead], status_code=201) +async def upload_file( + *, session: Session = Depends(get_session), file: UploadFile = File(...) +): + """Upload flows from a file.""" + contents = await file.read() + data = json.loads(contents) + if "flows" in data: + flow_list = FlowListCreate(**data) + else: + flow_list = FlowListCreate(flows=[FlowCreate(**flow) for flow in data]) + return create_flows(session=session, flow_list=flow_list) + + +@router.get("/download/", response_model=FlowListRead, status_code=200) +async def download_file(*, session: Session = Depends(get_session)): + """Download all flows as a file.""" + flows = read_flows(session=session) + return FlowListRead(flows=flows) diff --git a/src/backend/langflow/api/v1/schemas.py b/src/backend/langflow/api/v1/schemas.py index f73b0642d..714f0df7f 100644 --- a/src/backend/langflow/api/v1/schemas.py +++ b/src/backend/langflow/api/v1/schemas.py @@ -1,6 +1,6 @@ -from typing import Any, Dict, List, Union - -from pydantic import BaseModel, validator +from typing import Any, Dict, List, Optional, Union +from langflow.database.models.flow import FlowCreate, FlowRead +from pydantic import BaseModel, Field, validator class GraphData(BaseModel): @@ -23,13 +23,30 @@ class PredictRequest(BaseModel): """Predict request schema.""" message: str - exported_flow: ExportedFlow + tweaks: Optional[Dict[str, Dict[str, str]]] = Field(default_factory=dict) + + class Config: + schema_extra = { + "example": { + "message": "Hello, how are you?", + "tweaks": { + "dndnode_986363f0-4677-4035-9f38-74b94af5dd78": { + "name": "A tool name", + "description": "A tool description", + }, + "dndnode_986363f0-4677-4035-9f38-74b94af57378": { + "template": "A {template}", + }, + }, + } + } class PredictResponse(BaseModel): """Predict response schema.""" result: str + intermediate_steps: str = "" class ChatMessage(BaseModel): @@ -68,3 +85,19 @@ class FileResponse(ChatMessage): if v not in ["image", "csv"]: raise ValueError("data_type must be image or csv") return v + + +class FlowListCreate(BaseModel): + flows: List[FlowCreate] + + +class FlowListRead(BaseModel): + flows: List[FlowRead] + + +class InitResponse(BaseModel): + flowId: str + + +class BuiltResponse(BaseModel): + built: bool diff --git a/src/backend/langflow/api/v1/validate.py b/src/backend/langflow/api/v1/validate.py index 009cb9a30..1f5f95f6a 100644 --- a/src/backend/langflow/api/v1/validate.py +++ b/src/backend/langflow/api/v1/validate.py @@ -15,7 +15,7 @@ from langflow.utils.logger import logger from langflow.utils.validate import validate_code # build router -router = APIRouter(prefix="/validate", tags=["validate"]) +router = APIRouter(prefix="/validate", tags=["Validate"]) @router.post("/code", status_code=200, response_model=CodeValidationResponse) diff --git a/src/backend/langflow/cache/__init__.py b/src/backend/langflow/cache/__init__.py index 583d5ac6d..723aa9e18 100644 --- a/src/backend/langflow/cache/__init__.py +++ b/src/backend/langflow/cache/__init__.py @@ -1 +1,7 @@ -from langflow.cache.manager import cache_manager # noqa +from langflow.cache.manager import cache_manager +from langflow.cache.flow import InMemoryCache + +__all__ = [ + "cache_manager", + "InMemoryCache", +] diff --git a/src/backend/langflow/cache/base.py b/src/backend/langflow/cache/base.py index 0f1ff5d92..85d2e0eed 100644 --- a/src/backend/langflow/cache/base.py +++ b/src/backend/langflow/cache/base.py @@ -1,154 +1,87 @@ -import base64 -import contextlib -import functools -import hashlib -import json -import os -import tempfile -from collections import OrderedDict -from pathlib import Path -from typing import Any, Dict - -import dill # type: ignore - -CACHE: Dict[str, Any] = {} +import abc -def create_cache_folder(func): - def wrapper(*args, **kwargs): - # Get the destination folder - cache_path = Path(tempfile.gettempdir()) / PREFIX - - # Create the destination folder if it doesn't exist - os.makedirs(cache_path, exist_ok=True) - - return func(*args, **kwargs) - - return wrapper - - -def memoize_dict(maxsize=128): - cache = OrderedDict() - - def decorator(func): - @functools.wraps(func) - def wrapper(*args, **kwargs): - hashed = compute_dict_hash(args[0]) - key = (func.__name__, hashed, frozenset(kwargs.items())) - if key not in cache: - result = func(*args, **kwargs) - cache[key] = result - if len(cache) > maxsize: - cache.popitem(last=False) - else: - result = cache[key] - return result - - def clear_cache(): - cache.clear() - - wrapper.clear_cache = clear_cache # type: ignore - wrapper.cache = cache # type: ignore - return wrapper - - return decorator - - -PREFIX = "langflow_cache" - - -@create_cache_folder -def clear_old_cache_files(max_cache_size: int = 3): - cache_dir = Path(tempfile.gettempdir()) / PREFIX - cache_files = list(cache_dir.glob("*.dill")) - - if len(cache_files) > max_cache_size: - cache_files_sorted_by_mtime = sorted( - cache_files, key=lambda x: x.stat().st_mtime, reverse=True - ) - - for cache_file in cache_files_sorted_by_mtime[max_cache_size:]: - with contextlib.suppress(OSError): - os.remove(cache_file) - - -def compute_dict_hash(graph_data): - graph_data = filter_json(graph_data) - - cleaned_graph_json = json.dumps(graph_data, sort_keys=True) - return hashlib.sha256(cleaned_graph_json.encode("utf-8")).hexdigest() - - -def filter_json(json_data): - filtered_data = json_data.copy() - - # Remove 'viewport' and 'chatHistory' keys - if "viewport" in filtered_data: - del filtered_data["viewport"] - if "chatHistory" in filtered_data: - del filtered_data["chatHistory"] - - # Filter nodes - if "nodes" in filtered_data: - for node in filtered_data["nodes"]: - if "position" in node: - del node["position"] - if "positionAbsolute" in node: - del node["positionAbsolute"] - if "selected" in node: - del node["selected"] - if "dragging" in node: - del node["dragging"] - - return filtered_data - - -@create_cache_folder -def save_binary_file(content: str, file_name: str, accepted_types: list[str]) -> str: +class BaseCache(abc.ABC): """ - Save a binary file to the specified folder. - - Args: - content: The content of the file as a bytes object. - file_name: The name of the file, including its extension. - - Returns: - The path to the saved file. + Abstract base class for a cache. """ - if not any(file_name.endswith(suffix) for suffix in accepted_types): - raise ValueError(f"File {file_name} is not accepted") - # Get the destination folder - cache_path = Path(tempfile.gettempdir()) / PREFIX - if not content: - raise ValueError("Please, reload the file in the loader.") - data = content.split(",")[1] - decoded_bytes = base64.b64decode(data) + @abc.abstractmethod + def get(self, key): + """ + Retrieve an item from the cache. - # Create the full file path - file_path = os.path.join(cache_path, file_name) + Args: + key: The key of the item to retrieve. - # Save the binary content to the file - with open(file_path, "wb") as file: - file.write(decoded_bytes) + Returns: + The value associated with the key, or None if the key is not found. + """ - return file_path + @abc.abstractmethod + def set(self, key, value): + """ + Add an item to the cache. + Args: + key: The key of the item. + value: The value to cache. + """ -@create_cache_folder -def save_cache(hash_val: str, chat_data, clean_old_cache_files: bool): - cache_path = Path(tempfile.gettempdir()) / PREFIX / f"{hash_val}.dill" - with cache_path.open("wb") as cache_file: - dill.dump(chat_data, cache_file) + @abc.abstractmethod + def delete(self, key): + """ + Remove an item from the cache. - if clean_old_cache_files: - clear_old_cache_files() + Args: + key: The key of the item to remove. + """ + @abc.abstractmethod + def clear(self): + """ + Clear all items from the cache. + """ -@create_cache_folder -def load_cache(hash_val): - cache_path = Path(tempfile.gettempdir()) / PREFIX / f"{hash_val}.dill" - if cache_path.exists(): - with cache_path.open("rb") as cache_file: - return dill.load(cache_file) - return None + @abc.abstractmethod + def __contains__(self, key): + """ + Check if the key is in the cache. + + Args: + key: The key of the item to check. + + Returns: + True if the key is in the cache, False otherwise. + """ + + @abc.abstractmethod + def __getitem__(self, key): + """ + Retrieve an item from the cache using the square bracket notation. + + Args: + key: The key of the item to retrieve. + + Returns: + The value associated with the key, or None if the key is not found. + """ + + @abc.abstractmethod + def __setitem__(self, key, value): + """ + Add an item to the cache using the square bracket notation. + + Args: + key: The key of the item. + value: The value to cache. + """ + + @abc.abstractmethod + def __delitem__(self, key): + """ + Remove an item from the cache using the square bracket notation. + + Args: + key: The key of the item to remove. + """ diff --git a/src/backend/langflow/cache/flow.py b/src/backend/langflow/cache/flow.py new file mode 100644 index 000000000..6d8fee977 --- /dev/null +++ b/src/backend/langflow/cache/flow.py @@ -0,0 +1,146 @@ +import threading +import time +from collections import OrderedDict + +from langflow.cache.base import BaseCache + + +class InMemoryCache(BaseCache): + """ + A simple in-memory cache using an OrderedDict. + + This cache supports setting a maximum size and expiration time for cached items. + When the cache is full, it uses a Least Recently Used (LRU) eviction policy. + Thread-safe using a threading Lock. + + Attributes: + max_size (int, optional): Maximum number of items to store in the cache. + expiration_time (int, optional): Time in seconds after which a cached item expires. Default is 1 hour. + + Example: + + cache = InMemoryCache(max_size=3, expiration_time=5) + + # setting cache values + cache.set("a", 1) + cache.set("b", 2) + cache["c"] = 3 + + # getting cache values + a = cache.get("a") + b = cache["b"] + """ + + def __init__(self, max_size=None, expiration_time=60 * 60): + """ + Initialize a new InMemoryCache instance. + + Args: + max_size (int, optional): Maximum number of items to store in the cache. + expiration_time (int, optional): Time in seconds after which a cached item expires. Default is 1 hour. + """ + self._cache = OrderedDict() + self._lock = threading.Lock() + self.max_size = max_size + self.expiration_time = expiration_time + + def get(self, key): + """ + Retrieve an item from the cache. + + Args: + key: The key of the item to retrieve. + + Returns: + The value associated with the key, or None if the key is not found or the item has expired. + """ + with self._lock: + if key in self._cache: + item = self._cache.pop(key) + if ( + self.expiration_time is None + or time.time() - item["time"] < self.expiration_time + ): + # Move the key to the end to make it recently used + self._cache[key] = item + return item["value"] + else: + self.delete(key) + return None + + def set(self, key, value): + """ + Add an item to the cache. + + If the cache is full, the least recently used item is evicted. + + Args: + key: The key of the item. + value: The value to cache. + """ + with self._lock: + if key in self._cache: + # Remove existing key before re-inserting to update order + self.delete(key) + elif self.max_size and len(self._cache) >= self.max_size: + # Remove least recently used item + self._cache.popitem(last=False) + self._cache[key] = {"value": value, "time": time.time()} + + def get_or_set(self, key, value): + """ + Retrieve an item from the cache. If the item does not exist, set it with the provided value. + + Args: + key: The key of the item. + value: The value to cache if the item doesn't exist. + + Returns: + The cached value associated with the key. + """ + with self._lock: + if key in self._cache: + return self.get(key) + self.set(key, value) + return value + + def delete(self, key): + """ + Remove an item from the cache. + + Args: + key: The key of the item to remove. + """ + # with self._lock: + self._cache.pop(key, None) + + def clear(self): + """ + Clear all items from the cache. + """ + with self._lock: + self._cache.clear() + + def __contains__(self, key): + """Check if the key is in the cache.""" + return key in self._cache + + def __getitem__(self, key): + """Retrieve an item from the cache using the square bracket notation.""" + return self.get(key) + + def __setitem__(self, key, value): + """Add an item to the cache using the square bracket notation.""" + self.set(key, value) + + def __delitem__(self, key): + """Remove an item from the cache using the square bracket notation.""" + self.delete(key) + + def __len__(self): + """Return the number of items in the cache.""" + return len(self._cache) + + def __repr__(self): + """Return a string representation of the InMemoryCache instance.""" + return f"InMemoryCache(max_size={self.max_size}, expiration_time={self.expiration_time})" diff --git a/src/backend/langflow/cache/manager.py b/src/backend/langflow/cache/manager.py index 947f5ce21..13b281008 100644 --- a/src/backend/langflow/cache/manager.py +++ b/src/backend/langflow/cache/manager.py @@ -54,7 +54,7 @@ class CacheManager(Subject): def __init__(self): super().__init__() - self.CACHE = {} + self._cache = {} self.current_client_id = None self.current_cache = {} @@ -68,12 +68,12 @@ class CacheManager(Subject): """ previous_client_id = self.current_client_id self.current_client_id = client_id - self.current_cache = self.CACHE.setdefault(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, {}) + self.current_cache = self._cache.get(self.current_client_id, {}) def add(self, name: str, obj: Any, obj_type: str, extension: Optional[str] = None): """ diff --git a/src/backend/langflow/cache/utils.py b/src/backend/langflow/cache/utils.py new file mode 100644 index 000000000..6058f6923 --- /dev/null +++ b/src/backend/langflow/cache/utils.py @@ -0,0 +1,134 @@ +import base64 +import contextlib +import functools +import hashlib +import json +import os +import tempfile +from collections import OrderedDict +from pathlib import Path +from typing import Any, Dict + + +CACHE: Dict[str, Any] = {} + + +def create_cache_folder(func): + def wrapper(*args, **kwargs): + # Get the destination folder + cache_path = Path(tempfile.gettempdir()) / PREFIX + + # Create the destination folder if it doesn't exist + os.makedirs(cache_path, exist_ok=True) + + return func(*args, **kwargs) + + return wrapper + + +def memoize_dict(maxsize=128): + cache = OrderedDict() + + def decorator(func): + @functools.wraps(func) + def wrapper(*args, **kwargs): + hashed = compute_dict_hash(args[0]) + key = (func.__name__, hashed, frozenset(kwargs.items())) + if key not in cache: + result = func(*args, **kwargs) + cache[key] = result + if len(cache) > maxsize: + cache.popitem(last=False) + else: + result = cache[key] + return result + + def clear_cache(): + cache.clear() + + wrapper.clear_cache = clear_cache # type: ignore + wrapper.cache = cache # type: ignore + return wrapper + + return decorator + + +PREFIX = "langflow_cache" + + +@create_cache_folder +def clear_old_cache_files(max_cache_size: int = 3): + cache_dir = Path(tempfile.gettempdir()) / PREFIX + cache_files = list(cache_dir.glob("*.dill")) + + if len(cache_files) > max_cache_size: + cache_files_sorted_by_mtime = sorted( + cache_files, key=lambda x: x.stat().st_mtime, reverse=True + ) + + for cache_file in cache_files_sorted_by_mtime[max_cache_size:]: + with contextlib.suppress(OSError): + os.remove(cache_file) + + +def compute_dict_hash(graph_data): + graph_data = filter_json(graph_data) + + cleaned_graph_json = json.dumps(graph_data, sort_keys=True) + return hashlib.sha256(cleaned_graph_json.encode("utf-8")).hexdigest() + + +def filter_json(json_data): + filtered_data = json_data.copy() + + # Remove 'viewport' and 'chatHistory' keys + if "viewport" in filtered_data: + del filtered_data["viewport"] + if "chatHistory" in filtered_data: + del filtered_data["chatHistory"] + + # Filter nodes + if "nodes" in filtered_data: + for node in filtered_data["nodes"]: + if "position" in node: + del node["position"] + if "positionAbsolute" in node: + del node["positionAbsolute"] + if "selected" in node: + del node["selected"] + if "dragging" in node: + del node["dragging"] + + return filtered_data + + +@create_cache_folder +def save_binary_file(content: str, file_name: str, accepted_types: list[str]) -> str: + """ + Save a binary file to the specified folder. + + Args: + content: The content of the file as a bytes object. + file_name: The name of the file, including its extension. + + Returns: + The path to the saved file. + """ + if not any(file_name.endswith(suffix) for suffix in accepted_types): + raise ValueError(f"File {file_name} is not accepted") + + # Get the destination folder + cache_path = Path(tempfile.gettempdir()) / PREFIX + if not content: + raise ValueError("Please, reload the file in the loader.") + data = content.split(",")[1] + decoded_bytes = base64.b64decode(data) + + # Create the full file path + file_path = os.path.join(cache_path, file_name) + + # Save the binary content to the file + with open(file_path, "wb") as file: + file.write(decoded_bytes) + + return file_path diff --git a/src/backend/langflow/chat/manager.py b/src/backend/langflow/chat/manager.py index d24057b68..7c3a08240 100644 --- a/src/backend/langflow/chat/manager.py +++ b/src/backend/langflow/chat/manager.py @@ -10,7 +10,9 @@ from langflow.utils.logger import logger import asyncio import json -from typing import Dict, List +from typing import Any, Dict, List + +from langflow.cache.flow import InMemoryCache class ChatHistory(Subject): @@ -46,6 +48,7 @@ class ChatManager: self.chat_history = ChatHistory() self.cache_manager = cache_manager self.cache_manager.attach(self.update) + self.in_memory_cache = InMemoryCache() def on_chat_history_update(self): """Send the last chat message to the client.""" @@ -99,24 +102,30 @@ class ChatManager: websocket = self.active_connections[client_id] await websocket.send_json(message.dict()) - async def process_message(self, client_id: str, payload: Dict): + async def close_connection(self, client_id: str, code: int, reason: str): + if websocket := self.active_connections[client_id]: + await websocket.close(code=code, reason=reason) + self.disconnect(client_id) + + async def process_message( + self, client_id: str, payload: Dict, langchain_object: Any + ): # 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 + # 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)) <= 1 + # is_first_message = len(self.chat_history.get_history(client_id=client_id)) <= 1 # 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, + langchain_object=langchain_object, chat_message=chat_message, websocket=self.active_connections[client_id], ) @@ -149,6 +158,14 @@ class ChatManager: await self.send_json(client_id, response) self.chat_history.add_message(client_id, response) + def set_cache(self, client_id: str, langchain_object: Any) -> bool: + """ + Set the cache for a client. + """ + + self.in_memory_cache.set(client_id, langchain_object) + return client_id in self.in_memory_cache + async def handle_websocket(self, client_id: str, websocket: WebSocket): await self.connect(client_id, websocket) @@ -169,22 +186,24 @@ class ChatManager: continue with self.cache_manager.set_client_id(client_id): - await self.process_message(client_id, payload) + langchain_object = self.in_memory_cache.get(client_id) + await self.process_message(client_id, payload, langchain_object) 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] + logger.error(e) + await self.close_connection( + client_id=client_id, + 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) + await self.close_connection( + client_id=client_id, + code=status.WS_1000_NORMAL_CLOSURE, + reason="Client disconnected", + ) except Exception as e: - logger.exception(e) + logger.error(e) self.disconnect(client_id) diff --git a/src/backend/langflow/chat/utils.py b/src/backend/langflow/chat/utils.py index 410a442be..2e2ee367f 100644 --- a/src/backend/langflow/chat/utils.py +++ b/src/backend/langflow/chat/utils.py @@ -1,23 +1,15 @@ from fastapi import WebSocket from langflow.api.v1.schemas import ChatMessage -from langflow.processing.process import ( - load_or_build_langchain_object, -) from langflow.processing.base import get_result_and_steps from langflow.interface.utils import try_setting_streaming_options from langflow.utils.logger import logger -from typing import Dict - - async def process_graph( - graph_data: Dict, - is_first_message: bool, + langchain_object, 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") diff --git a/src/backend/langflow/database/__init__.py b/src/backend/langflow/database/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/backend/langflow/database/base.py b/src/backend/langflow/database/base.py new file mode 100644 index 000000000..69f8b993b --- /dev/null +++ b/src/backend/langflow/database/base.py @@ -0,0 +1,18 @@ +from langflow.settings import settings +from sqlmodel import SQLModel, Session, create_engine + + +if settings.database_url.startswith("sqlite"): + connect_args = {"check_same_thread": False} +else: + connect_args = {} +engine = create_engine(settings.database_url, connect_args=connect_args) + + +def create_db_and_tables(): + SQLModel.metadata.create_all(engine) + + +def get_session(): + with Session(engine) as session: + yield session diff --git a/src/backend/langflow/database/models/__init__.py b/src/backend/langflow/database/models/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/backend/langflow/database/models/base.py b/src/backend/langflow/database/models/base.py new file mode 100644 index 000000000..e20895b93 --- /dev/null +++ b/src/backend/langflow/database/models/base.py @@ -0,0 +1,14 @@ +from sqlmodel import SQLModel +import orjson + + +def orjson_dumps(v, *, default): + # orjson.dumps returns bytes, to match standard json.dumps we need to decode + return orjson.dumps(v, default=default).decode() + + +class SQLModelSerializable(SQLModel): + class Config: + orm_mode = True + json_loads = orjson.loads + json_dumps = orjson_dumps diff --git a/src/backend/langflow/database/models/flow.py b/src/backend/langflow/database/models/flow.py new file mode 100644 index 000000000..f9e3aa249 --- /dev/null +++ b/src/backend/langflow/database/models/flow.py @@ -0,0 +1,60 @@ +# Path: src/backend/langflow/database/models/flow.py + +from langflow.database.models.base import SQLModelSerializable +from pydantic import validator +from sqlmodel import Field, Relationship, JSON, Column +from uuid import UUID, uuid4 +from typing import Dict, Optional + +# if TYPE_CHECKING: +from langflow.database.models.flow_style import FlowStyle, FlowStyleRead + + +class FlowBase(SQLModelSerializable): + name: str = Field(index=True) + description: Optional[str] = Field(index=True) + data: Optional[Dict] = Field(default=None) + + @validator("data") + def validate_json(v): + # dict_keys(['description', 'name', 'id', 'data']) + if not v: + return v + if not isinstance(v, dict): + raise ValueError("Flow must be a valid JSON") + + # data must contain nodes and edges + if "nodes" not in v.keys(): + raise ValueError("Flow must have nodes") + if "edges" not in v.keys(): + raise ValueError("Flow must have edges") + + return v + + +class Flow(FlowBase, table=True): + id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True) + data: Optional[Dict] = Field(default=None, sa_column=Column(JSON)) + style: Optional["FlowStyle"] = Relationship( + back_populates="flow", + # use "uselist=False" to make it a one-to-one relationship + sa_relationship_kwargs={"uselist": False}, + ) + + +class FlowCreate(FlowBase): + pass + + +class FlowRead(FlowBase): + id: UUID + + +class FlowReadWithStyle(FlowRead): + style: Optional["FlowStyleRead"] = None + + +class FlowUpdate(SQLModelSerializable): + name: Optional[str] = None + description: Optional[str] = None + data: Optional[Dict] = None diff --git a/src/backend/langflow/database/models/flow_style.py b/src/backend/langflow/database/models/flow_style.py new file mode 100644 index 000000000..fe53799fe --- /dev/null +++ b/src/backend/langflow/database/models/flow_style.py @@ -0,0 +1,33 @@ +# Path: src/backend/langflow/database/models/flowstyle.py + +from langflow.database.models.base import SQLModelSerializable +from sqlmodel import Field, Relationship +from uuid import UUID, uuid4 +from typing import TYPE_CHECKING, Optional + +if TYPE_CHECKING: + from langflow.database.models.flow import Flow + + +class FlowStyleBase(SQLModelSerializable): + color: str + emoji: str + flow_id: UUID = Field(default=None, foreign_key="flow.id") + + +class FlowStyle(FlowStyleBase, table=True): + id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True) + flow: "Flow" = Relationship(back_populates="style") + + +class FlowStyleUpdate(SQLModelSerializable): + color: Optional[str] = None + emoji: Optional[str] = None + + +class FlowStyleCreate(FlowStyleBase): + pass + + +class FlowStyleRead(FlowStyleBase): + id: UUID diff --git a/src/backend/langflow/graph/graph/base.py b/src/backend/langflow/graph/graph/base.py index 0d326d259..5cefdadae 100644 --- a/src/backend/langflow/graph/graph/base.py +++ b/src/backend/langflow/graph/graph/base.py @@ -1,4 +1,4 @@ -from typing import Dict, List, Type, Union +from typing import Dict, Generator, List, Type, Union from langflow.graph.edge.base import Edge from langflow.graph.graph.constants import VERTEX_TYPE_MAP @@ -31,7 +31,7 @@ class Graph: Creates a graph from a payload. Args: - payload (Dict): The payload to create the graph from. + payload (Dict): The payload to create the graph from.˜` Returns: Graph: The created graph. @@ -107,6 +107,47 @@ class Graph: raise ValueError("No root node found") return root_node.build() + def topological_sort(self) -> List[Vertex]: + """ + Performs a topological sort of the vertices in the graph. + + Returns: + List[Vertex]: A list of vertices in topological order. + + Raises: + ValueError: If the graph contains a cycle. + """ + # States: 0 = unvisited, 1 = visiting, 2 = visited + state = {node: 0 for node in self.nodes} + sorted_vertices = [] + + def dfs(node): + if state[node] == 1: + # We have a cycle + raise ValueError( + "Graph contains a cycle, cannot perform topological sort" + ) + if state[node] == 0: + state[node] = 1 + for edge in node.edges: + if edge.source == node: + dfs(edge.target) + state[node] = 2 + sorted_vertices.append(node) + + # Visit each node + for node in self.nodes: + if state[node] == 0: + dfs(node) + + return list(reversed(sorted_vertices)) + + def generator_build(self) -> Generator: + """Builds each vertex in the graph and yields it.""" + sorted_vertices = self.topological_sort() + logger.info("Sorted vertices: %s", sorted_vertices) + yield from sorted_vertices + def get_node_neighbors(self, node: Vertex) -> Dict[Vertex, int]: """Returns the neighbors of a node.""" neighbors: Dict[Vertex, int] = {} diff --git a/src/backend/langflow/graph/vertex/base.py b/src/backend/langflow/graph/vertex/base.py index bb6ff34dc..2900ba538 100644 --- a/src/backend/langflow/graph/vertex/base.py +++ b/src/backend/langflow/graph/vertex/base.py @@ -1,4 +1,4 @@ -from langflow.cache import base as cache_utils +from langflow.cache import utils as cache_utils from langflow.graph.vertex.constants import DIRECT_TYPES from langflow.interface import loading from langflow.interface.listing import ALL_TYPES_DICT diff --git a/src/backend/langflow/interface/agents/custom.py b/src/backend/langflow/interface/agents/custom.py index f86028985..d544cfb47 100644 --- a/src/backend/langflow/interface/agents/custom.py +++ b/src/backend/langflow/interface/agents/custom.py @@ -120,7 +120,7 @@ class CSVAgent(CustomAgentExecutor): class VectorStoreAgent(CustomAgentExecutor): - """Vector Store agent""" + """Vector store agent""" @staticmethod def function_name(): @@ -175,7 +175,7 @@ class SQLAgent(CustomAgentExecutor): def from_toolkit_and_llm( cls, llm: BaseLanguageModel, database_uri: str, **kwargs: Any ): - """Construct a sql agent from an LLM and tools.""" + """Construct an SQL agent from an LLM and tools.""" db = SQLDatabase.from_uri(database_uri) toolkit = SQLDatabaseToolkit(db=db, llm=llm) @@ -252,7 +252,11 @@ class VectorStoreRouterAgent(CustomAgentExecutor): ): """Construct a vector store router agent from an LLM and tools.""" - tools = vectorstoreroutertoolkit.get_tools() + tools = ( + vectorstoreroutertoolkit + if isinstance(vectorstoreroutertoolkit, list) + else vectorstoreroutertoolkit.get_tools() + ) prompt = ZeroShotAgent.create_prompt(tools, prefix=VECTORSTORE_ROUTER_PREFIX) llm_chain = LLMChain( llm=llm, @@ -302,7 +306,7 @@ class InitializeAgent(CustomAgentExecutor): CUSTOM_AGENTS = { "JsonAgent": JsonAgent, "CSVAgent": CSVAgent, - "initialize_agent": InitializeAgent, + "AgentInitializer": InitializeAgent, "VectorStoreAgent": VectorStoreAgent, "VectorStoreRouterAgent": VectorStoreRouterAgent, "SQLAgent": SQLAgent, diff --git a/src/backend/langflow/interface/chains/base.py b/src/backend/langflow/interface/chains/base.py index 63840cf13..ff7e1ee33 100644 --- a/src/backend/langflow/interface/chains/base.py +++ b/src/backend/langflow/interface/chains/base.py @@ -20,7 +20,10 @@ class ChainCreator(LangChainTypeCreator): return ChainFrontendNode #! We need to find a better solution for this - from_method_nodes = {"ConversationalRetrievalChain": "from_llm"} + from_method_nodes = { + "ConversationalRetrievalChain": "from_llm", + "LLMCheckerChain": "from_llm", + } @property def type_to_loader_dict(self) -> Dict: diff --git a/src/backend/langflow/interface/run.py b/src/backend/langflow/interface/run.py index 89f71fd8b..a3efe2b0c 100644 --- a/src/backend/langflow/interface/run.py +++ b/src/backend/langflow/interface/run.py @@ -1,22 +1,8 @@ -from langflow.cache.base import compute_dict_hash, load_cache, memoize_dict +from langflow.cache.utils import memoize_dict from langflow.graph import Graph from langflow.utils.logger import logger -def load_langchain_object(data_graph, is_first_message=False): - """ - Load langchain object from cache if it exists, otherwise build it. - """ - computed_hash = compute_dict_hash(data_graph) - if is_first_message: - langchain_object = build_langchain_object(data_graph) - else: - logger.debug("Loading langchain object from cache") - langchain_object = load_cache(computed_hash) - - return computed_hash, langchain_object - - @memoize_dict(maxsize=10) def build_langchain_object_with_caching(data_graph): """ diff --git a/src/backend/langflow/main.py b/src/backend/langflow/main.py index de39d8750..ad3217eb5 100644 --- a/src/backend/langflow/main.py +++ b/src/backend/langflow/main.py @@ -2,10 +2,12 @@ from fastapi import FastAPI from fastapi.middleware.cors import CORSMiddleware from langflow.api import router +from langflow.database.base import create_db_and_tables def create_app(): """Create the FastAPI app and include the router.""" + app = FastAPI() origins = [ @@ -25,6 +27,7 @@ def create_app(): ) app.include_router(router) + app.on_event("startup")(create_db_and_tables) return app diff --git a/src/backend/langflow/processing/process.py b/src/backend/langflow/processing/process.py index 3b8852e00..67ea91b40 100644 --- a/src/backend/langflow/processing/process.py +++ b/src/backend/langflow/processing/process.py @@ -170,3 +170,28 @@ def load_flow_from_json(path: str, build=True): fix_memory_inputs(langchain_object) return langchain_object return graph + + +def process_tweaks(graph_data: Dict, tweaks: Dict): + """This function is used to tweak the graph data using the node id and the tweaks dict""" + # the tweaks dict is a dict of dicts + # the key is the node id and the value is a dict of the tweaks + # the dict of tweaks contains the name of a certain parameter and the value to be tweaked + + # We need to process the graph data to add the tweaks + if "data" not in graph_data and "nodes" in graph_data: + nodes = graph_data["nodes"] + else: + nodes = graph_data["data"]["nodes"] + for node in nodes: + node_id = node["id"] + if node_id in tweaks: + node_tweaks = tweaks[node_id] + template_data = node["data"]["node"]["template"] + for tweak_name, tweake_value in node_tweaks.items(): + if tweak_name in template_data: + template_data[tweak_name]["value"] = tweake_value + print( + f"Something changed in node {node_id} with tweak {tweak_name} and value {tweake_value}" + ) + return graph_data diff --git a/src/backend/langflow/settings.py b/src/backend/langflow/settings.py index 5ef61ab7b..9d6ac3fa9 100644 --- a/src/backend/langflow/settings.py +++ b/src/backend/langflow/settings.py @@ -20,10 +20,13 @@ class Settings(BaseSettings): textsplitters: List[str] = [] utilities: List[str] = [] dev: bool = False + database_url: str = "sqlite:///./langflow.db" + remove_api_keys: bool = False class Config: validate_assignment = True extra = "ignore" + env_prefix = "LANGFLOW_" @root_validator(allow_reuse=True) def validate_lists(cls, values): @@ -46,6 +49,11 @@ class Settings(BaseSettings): self.utilities = new_settings.utilities or [] self.dev = dev + def update_settings(self, **kwargs): + for key, value in kwargs.items(): + if hasattr(self, key): + setattr(self, key, value) + def save_settings_to_yaml(settings: Settings, file_path: str): with open(file_path, "w") as f: diff --git a/src/backend/langflow/template/frontend_node/agents.py b/src/backend/langflow/template/frontend_node/agents.py index 101fac7ff..f692a7d6c 100644 --- a/src/backend/langflow/template/frontend_node/agents.py +++ b/src/backend/langflow/template/frontend_node/agents.py @@ -37,7 +37,7 @@ class SQLAgentNode(FrontendNode): ), ], ) - description: str = """Construct a sql agent from an LLM and tools.""" + description: str = """Construct an SQL agent from an LLM and tools.""" base_classes: list[str] = ["AgentExecutor"] def to_dict(self): @@ -155,6 +155,7 @@ class CSVAgentNode(FrontendNode): class InitializeAgentNode(FrontendNode): name: str = "AgentInitializer" + display_name: str = "AgentInitializer" template: Template = Template( type_name="initialize_agent", fields=[ diff --git a/src/backend/langflow/template/frontend_node/chains.py b/src/backend/langflow/template/frontend_node/chains.py index cb06c90f0..1a1753df3 100644 --- a/src/backend/langflow/template/frontend_node/chains.py +++ b/src/backend/langflow/template/frontend_node/chains.py @@ -33,6 +33,14 @@ class ChainFrontendNode(FrontendNode): field.show = True field.advanced = True + # We should think of a way to deal with this later + # if field.field_type == "PromptTemplate": + # field.field_type = "str" + # field.multiline = True + # field.show = True + # field.advanced = False + # field.value = field.value.template + # Separated for possible future changes if field.name == "prompt" and field.value is None: field.required = True @@ -126,7 +134,7 @@ class TimeTravelGuideChainNode(FrontendNode): ), ], ) - description: str = "Time travel guide chain to be used in the flow." + description: str = "Time travel guide chain." base_classes: list[str] = [ "LLMChain", "BaseCustomChain", @@ -197,7 +205,7 @@ class CombineDocsChainNode(FrontendNode): ), ], ) - description: str = """Construct a zero shot agent from an LLM and tools.""" + description: str = """Load question answering chain.""" base_classes: list[str] = ["BaseCombineDocumentsChain", "function"] def to_dict(self): diff --git a/src/backend/langflow/template/frontend_node/documentloaders.py b/src/backend/langflow/template/frontend_node/documentloaders.py index 48c07a188..b8f26a9ca 100644 --- a/src/backend/langflow/template/frontend_node/documentloaders.py +++ b/src/backend/langflow/template/frontend_node/documentloaders.py @@ -2,22 +2,22 @@ from langflow.template.field.base import TemplateField from langflow.template.frontend_node.base import FrontendNode -class DocumentLoaderFrontNode(FrontendNode): - @staticmethod - def build_template( - suffixes: list, fileTypes: list, name: str = "file_path" - ) -> TemplateField: - """Build a template field for a document loader.""" - return TemplateField( - field_type="file", - required=True, - show=True, - name=name, - value="", - suffixes=suffixes, - fileTypes=fileTypes, - ) +def build_template( + suffixes: list, fileTypes: list, name: str = "file_path" +) -> TemplateField: + """Build a template field for a document loader.""" + return TemplateField( + field_type="file", + required=True, + show=True, + name=name, + value="", + suffixes=suffixes, + fileTypes=fileTypes, + ) + +class DocumentLoaderFrontNode(FrontendNode): file_path_templates = { "AirbyteJSONLoader": build_template(suffixes=[".json"], fileTypes=["json"]), "CoNLLULoader": build_template(suffixes=[".csv"], fileTypes=["csv"]), diff --git a/src/backend/langflow/template/frontend_node/llms.py b/src/backend/langflow/template/frontend_node/llms.py index ac17cf8ed..272e42c7f 100644 --- a/src/backend/langflow/template/frontend_node/llms.py +++ b/src/backend/langflow/template/frontend_node/llms.py @@ -12,6 +12,9 @@ class LLMFrontendNode(FrontendNode): field.name.title().replace("Openai", "OpenAI").replace("_", " ") ).replace("Api", "API") + if "key" not in field.name.lower() and "token" not in field.name.lower(): + field.password = False + @staticmethod def format_azure_field(field: TemplateField): if field.name == "model_name": @@ -22,7 +25,6 @@ class LLMFrontendNode(FrontendNode): field.value = "azure" elif field.name == "openai_api_version": field.password = False - field.value = "2023-03-15-preview" @staticmethod def format_llama_field(field: TemplateField): @@ -44,7 +46,10 @@ class LLMFrontendNode(FrontendNode): if field.name in SHOW_FIELDS: field.show = True - if "api" in field.name and ("key" in field.name or "token" in field.name): + if "api" in field.name and ( + "key" in field.name + or ("token" in field.name and "tokens" not in field.name) + ): field.password = True field.show = True # Required should be False to support diff --git a/src/backend/langflow/template/frontend_node/tools.py b/src/backend/langflow/template/frontend_node/tools.py index dd312f906..52fd31ecf 100644 --- a/src/backend/langflow/template/frontend_node/tools.py +++ b/src/backend/langflow/template/frontend_node/tools.py @@ -52,7 +52,7 @@ class ToolNode(FrontendNode): ), ], ) - description: str = "Tool to be used in the flow." + description: str = "Converts a chain, agent or function into a tool." base_classes: list[str] = ["Tool"] def to_dict(self): diff --git a/src/backend/langflow/utils/constants.py b/src/backend/langflow/utils/constants.py index 1b6bbdcc3..bf59c6cc4 100644 --- a/src/backend/langflow/utils/constants.py +++ b/src/backend/langflow/utils/constants.py @@ -5,7 +5,16 @@ OPENAI_MODELS = [ "text-babbage-001", "text-ada-001", ] -CHAT_OPENAI_MODELS = ["gpt-3.5-turbo", "gpt-4", "gpt-4-32k"] +CHAT_OPENAI_MODELS = [ + "gpt-3.5-turbo-0613", + "gpt-3.5-turbo", + "gpt-3.5-turbo-16k-0613", + "gpt-3.5-turbo-16k", + "gpt-4-0613", + "gpt-4-32k-0613", + "gpt-4", + "gpt-4-32k", +] ANTHROPIC_MODELS = [ "claude-v1", # largest model, ideal for a wide range of more complex tasks. diff --git a/src/backend/langflow/utils/validate.py b/src/backend/langflow/utils/validate.py index d1353bd77..905b9dd44 100644 --- a/src/backend/langflow/utils/validate.py +++ b/src/backend/langflow/utils/validate.py @@ -1,4 +1,5 @@ import ast +import contextlib import importlib import types from typing import Dict @@ -147,11 +148,8 @@ def create_function(code, function_name): code_obj = compile( ast.Module(body=[function_code], type_ignores=[]), "", "exec" ) - try: + with contextlib.suppress(Exception): exec(code_obj, exec_globals, locals()) - except Exception: - pass - exec_globals[function_name] = locals()[function_name] # Return a function that imports necessary modules and calls the target function diff --git a/src/frontend/.githooks/prepare-commit-msg b/src/frontend/.githooks/prepare-commit-msg new file mode 120000 index 000000000..7aa890bb6 --- /dev/null +++ b/src/frontend/.githooks/prepare-commit-msg @@ -0,0 +1 @@ +/usr/lib/node_modules/opencommit/out/cli.cjs \ No newline at end of file diff --git a/src/frontend/package-lock.json b/src/frontend/package-lock.json index 84270cda9..323cfdcc1 100644 --- a/src/frontend/package-lock.json +++ b/src/frontend/package-lock.json @@ -1,9556 +1,9802 @@ { - "name": "langflow", - "version": "0.1.2", - "lockfileVersion": 3, - "requires": true, - "packages": { - "": { - "name": "langflow", - "version": "0.1.2", - "dependencies": { - "@emotion/react": "^11.10.5", - "@emotion/styled": "^11.10.5", - "@headlessui/react": "^1.7.10", - "@heroicons/react": "^2.0.15", - "@mui/material": "^5.11.9", - "@radix-ui/react-checkbox": "^1.0.4", - "@radix-ui/react-dialog": "^1.0.4", - "@radix-ui/react-label": "^2.0.2", - "@radix-ui/react-slot": "^1.0.2", - "@radix-ui/react-switch": "^1.0.3", - "@radix-ui/react-tooltip": "^1.0.6", - "@tabler/icons-react": "^2.18.0", - "@tailwindcss/forms": "^0.5.3", - "@tailwindcss/line-clamp": "^0.4.4", - "ace-builds": "^1.16.0", - "add": "^2.0.6", - "ansi-to-html": "^0.7.2", - "axios": "^1.3.2", - "base64-js": "^1.5.1", - "class-variance-authority": "^0.6.0", - "clsx": "^1.2.1", - "esbuild": "^0.17.18", - "lodash": "^4.17.21", - 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"lodash": "^4.17.21", + "lucide-react": "^0.233.0", + "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": "^4.8.0", + "react-laag": "^2.0.5", + "react-markdown": "^8.0.7", + "react-router-dom": "^6.8.1", + "react-syntax-highlighter": "^15.5.0", + "react-tabs": "^6.0.0", + "react-tooltip": "^5.13.1", + "reactflow": "^11.5.5", + "rehype-mathjax": "^4.0.2", + "remark-gfm": "^3.0.1", + "remark-math": "^5.1.1", + "shadcn-ui": "^0.1.3", + "short-unique-id": "^4.4.4", + "switch": "^0.0.0", + "table": "^6.8.1", + "tailwind-merge": "^1.13.0", + "tailwindcss-animate": "^1.0.5", + "uuid": "^9.0.0", + "vite-plugin-svgr": "^3.2.0", + "web-vitals": "^2.1.4" + }, + "scripts": { + "dev:docker": "vite --host 0.0.0.0", + "start": "vite", + "build": "vite build", + "serve": "vite preview", + "format": "npx prettier --write \"**/*.{js,jsx,ts,tsx,json,md}\"" + }, + "eslintConfig": { + "extends": [ + "react-app", + "react-app/jest" + ] + }, + "browserslist": { + "production": [ + ">0.2%", + "not dead", + "not op_mini all" + ], + "development": [ + "last 1 chrome version", + "last 1 firefox version", + "last 1 safari version" + ] + }, + "proxy": "http://127.0.0.1:7860", + "devDependencies": { + "@swc/cli": "^0.1.62", + "@swc/core": "^1.3.62", + "@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 index 33ad091d2..12a703d90 100644 --- a/src/frontend/postcss.config.js +++ b/src/frontend/postcss.config.js @@ -3,4 +3,4 @@ module.exports = { tailwindcss: {}, autoprefixer: {}, }, -} +}; diff --git a/src/frontend/src/App.tsx b/src/frontend/src/App.tsx index e081cf490..259c40fad 100644 --- a/src/frontend/src/App.tsx +++ b/src/frontend/src/App.tsx @@ -7,14 +7,14 @@ import _ from "lodash"; import ErrorAlert from "./alerts/error"; import NoticeAlert from "./alerts/notice"; import SuccessAlert from "./alerts/success"; -import ExtraSidebar from "./components/ExtraSidebarComponent"; import { alertContext } from "./contexts/alertContext"; import { locationContext } from "./contexts/locationContext"; -import TabsManagerComponent from "./pages/FlowPage/components/tabsManagerComponent"; import { ErrorBoundary } from "react-error-boundary"; import CrashErrorComponent from "./components/CrashErrorComponent"; import { TabsContext } from "./contexts/tabsContext"; import { getVersion } from "./controllers/API"; +import Router from "./routes"; +import Header from "./components/headerComponent"; export default function App() { let { setCurrent, setShowSideBar, setIsStackedOpen } = @@ -47,13 +47,6 @@ export default function App() { }> >([]); - // Initialize state variable for the version - const [version, setVersion] = useState(""); - useEffect(() => { - getVersion().then((response) => { - setVersion(response.data.version); - }); - }, []); // Use effect hook to update alertsList when a new alert is added useEffect(() => { // If there is an error alert open with data, add it to the alertsList @@ -111,7 +104,6 @@ export default function App() { return ( //need parent component with width and height
-
{ window.localStorage.removeItem("tabsData"); @@ -121,16 +113,8 @@ export default function App() { }} FallbackComponent={CrashErrorComponent} > -
- - {/* Main area */} -
- {/* Primary column */} -
- -
-
-
+
+
))}
- - {version &&
⛓️ LangFlow v{version}
} -
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 d6ca1fe90..65f946ba2 100644 --- a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx @@ -1,14 +1,11 @@ import { Handle, Position, useUpdateNodeInternals } from "reactflow"; -import Tooltip from "../../../../components/TooltipComponent"; import { classNames, groupByFamily, isValidConnection, - toFirstUpperCase, } from "../../../../utils"; import { useContext, useEffect, useRef, useState } from "react"; import InputComponent from "../../../../components/inputComponent"; -import ToggleComponent from "../../../../components/toggleComponent"; import InputListComponent from "../../../../components/inputListComponent"; import TextAreaComponent from "../../../../components/textAreaComponent"; import { typesContext } from "../../../../contexts/typesContext"; @@ -24,6 +21,8 @@ import { nodeNames, nodeIcons } from "../../../../utils"; import React from "react"; import { nodeColors } from "../../../../utils"; import ShadTooltip from "../../../../components/ShadTooltipComponent"; +import { PopUpContext } from "../../../../contexts/popUpContext"; +import ToggleShadComponent from "../../../../components/toggleShadComponent"; export default function ParameterComponent({ left, @@ -40,6 +39,9 @@ export default function ParameterComponent({ const refHtml = useRef(null); const updateNodeInternals = useUpdateNodeInternals(); const [position, setPosition] = useState(0); + const { closePopUp } = useContext(PopUpContext); + const { setTabsState, tabId } = useContext(TabsContext); + useEffect(() => { if (ref.current && ref.current.offsetTop && ref.current.clientHeight) { setPosition(ref.current.offsetTop + ref.current.clientHeight / 2); @@ -54,12 +56,27 @@ export default function ParameterComponent({ const [enabled, setEnabled] = useState( data.node.template[name]?.value ?? false ); + + useEffect(() => {}, [closePopUp, data.node.template]); + const { reactFlowInstance } = useContext(typesContext); let disabled = reactFlowInstance?.getEdges().some((e) => e.targetHandle === id) ?? false; - const { save } = useContext(TabsContext); const [myData, setMyData] = useState(useContext(typesContext).data); + const handleOnNewValue = (newValue: any) => { + data.node.template[name].value = newValue; + // Set state to pending + setTabsState((prev) => { + return { + ...prev, + [tabId]: { + isPending: true, + }, + }; + }); + }; + useEffect(() => { const groupedObj = groupByFamily(myData, tooltipTitle); @@ -104,7 +121,7 @@ export default function ParameterComponent({ return (
<>
@@ -125,6 +142,7 @@ export default function ParameterComponent({ delayDuration={0} content={refHtml.current} side={left ? "left" : "right"} + open={refHtml?.current?.length > 0} > { - data.node.template[name].value = t; - save(); - }} + onChange={handleOnNewValue} /> ) : data.node.template[name].multiline ? ( { - data.node.template[name].value = t; - save(); - }} + onChange={handleOnNewValue} /> ) : ( { - data.node.template[name].value = t; - save(); - }} + onChange={handleOnNewValue} /> )}
) : left === true && type === "bool" ? (
- { - data.node.template[name].value = t; + handleOnNewValue(t); setEnabled(t); - save(); }} + size="large" />
) : left === true && type === "float" ? ( - { - data.node.template[name].value = t; - save(); - }} - /> +
+ +
) : left === true && type === "str" && data.node.template[name].options ? ( - (data.node.template[name].value = newValue)} - value={data.node.template[name].value ?? "Choose an option"} - > +
+ +
) : left === true && type === "code" ? ( { - data.node.template[name].value = t; - save(); - }} + onChange={handleOnNewValue} /> ) : left === true && type === "file" ? ( { - data.node.template[name].value = t; - }} + onChange={handleOnNewValue} fileTypes={data.node.template[name].fileTypes} suffixes={data.node.template[name].suffixes} onFileChange={(t: string) => { data.node.template[name].content = t; - save(); }} > ) : left === true && type === "int" ? ( - { - data.node.template[name].value = t; - save(); - }} - /> +
+ +
) : left === true && type === "prompt" ? ( { - data.node.template[name].value = t; - save(); - }} + onChange={handleOnNewValue} /> ) : ( <> diff --git a/src/frontend/src/CustomNodes/GenericNode/index.tsx b/src/frontend/src/CustomNodes/GenericNode/index.tsx index c449296ef..fb1ed5f59 100644 --- a/src/frontend/src/CustomNodes/GenericNode/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/index.tsx @@ -1,39 +1,18 @@ -import { - BugAntIcon, - Cog6ToothIcon, - InformationCircleIcon, - TrashIcon, -} from "@heroicons/react/24/outline"; - -import { - CheckCircleIcon, - EllipsisHorizontalCircleIcon, - ExclamationCircleIcon, -} from "@heroicons/react/24/solid"; - -import { - classNames, - nodeColors, - nodeIcons, - toNormalCase, - toTitleCase, -} from "../../utils"; +import { classNames, nodeColors, nodeIcons, toTitleCase } from "../../utils"; import ParameterComponent from "./components/parameterComponent"; import { typesContext } from "../../contexts/typesContext"; -import { useContext, useState, useEffect, useRef, Fragment } from "react"; +import { useContext, useState, useEffect, useRef } 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"; import { NodeToolbar } from "reactflow"; import NodeToolbarComponent from "../../pages/FlowPage/components/nodeToolbarComponent"; import ShadTooltip from "../../components/ShadTooltipComponent"; -import { postValidateNode } from "../../controllers/API"; +import { useSSE } from "../../contexts/SSEContext"; + export default function GenericNode({ data, selected, @@ -44,46 +23,30 @@ export default function GenericNode({ const { setErrorData } = useContext(alertContext); const showError = useRef(true); const { types, deleteNode } = useContext(typesContext); - const { openPopUp } = useContext(PopUpContext); + + const { closePopUp, openPopUp } = useContext(PopUpContext); const Icon = nodeIcons[data.type] || 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([]); + const { sseData, isBuilding } = useSSE(); + // useEffect(() => { + // if (reactFlowInstance) { + // setParams(Object.values(reactFlowInstance.toObject())); + // } + // }, [save]); + + // New useEffect to watch for changes in sseData and update validation status useEffect(() => { - if (reactFlowInstance) { - setParams(Object.values(reactFlowInstance.toObject())); + const relevantData = sseData[data.id]; + if (relevantData) { + // Extract validation information from relevantData and update the validationStatus state + setValidationStatus(relevantData); + } else { + setValidationStatus(null); } - }, [save]); - - const validateNode = useCallback( - debounce(async () => { - try { - const response = await postValidateNode( - data.id, - reactFlowInstance.toObject() - ); - - if (response.status === 200) { - let jsonResponseParsed = await JSON.parse(response.data); - setValidationStatus(jsonResponseParsed); - } - } 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]); + }, [sseData, data.id]); if (!Icon) { if (showError.current) { @@ -98,6 +61,8 @@ export default function GenericNode({ return; } + useEffect(() => {}, [closePopUp, data.node.template]); + return ( <> @@ -110,11 +75,11 @@ export default function GenericNode({
-
+
-
{data.type}
+
{data.type}
@@ -172,7 +137,7 @@ export default function GenericNode({ >
-
-
+
+
{data.node.description}
diff --git a/src/frontend/src/alerts/alertDropDown/components/singleAlertComponent/index.tsx b/src/frontend/src/alerts/alertDropDown/components/singleAlertComponent/index.tsx index ace9b5a0b..ad505e23e 100644 --- a/src/frontend/src/alerts/alertDropDown/components/singleAlertComponent/index.tsx +++ b/src/frontend/src/alerts/alertDropDown/components/singleAlertComponent/index.tsx @@ -94,7 +94,7 @@ export default function SingleAlert({ {dropItem.link ? ( Details diff --git a/src/frontend/src/alerts/notice/index.tsx b/src/frontend/src/alerts/notice/index.tsx index 1b2fb1514..81dce8ca0 100644 --- a/src/frontend/src/alerts/notice/index.tsx +++ b/src/frontend/src/alerts/notice/index.tsx @@ -51,7 +51,7 @@ export default function NoticeAlert({ {link !== "" ? ( Details diff --git a/src/frontend/src/components/EditFlowSettingsComponent/index.tsx b/src/frontend/src/components/EditFlowSettingsComponent/index.tsx new file mode 100644 index 000000000..90e8f90a6 --- /dev/null +++ b/src/frontend/src/components/EditFlowSettingsComponent/index.tsx @@ -0,0 +1,82 @@ +import React, { useState, ChangeEvent } from "react"; +import { Textarea } from "../../components/ui/textarea"; +import { Label } from "../../components/ui/label"; +import { Input } from "../../components/ui/input"; + +type InputProps = { + name: string | null; + description: string | null; + maxLength?: number; + flows: Array<{ id: string; name: string }>; + tabId: string; + setName: (name: string) => void; + setDescription: (description: string) => void; + updateFlow: (flow: { id: string; name: string }) => void; +}; + +export const EditFlowSettings: React.FC = ({ + name, + description, + maxLength = 50, + flows, + tabId, + setName, + setDescription, + updateFlow, +}) => { + const [isMaxLength, setIsMaxLength] = useState(false); + + const handleNameChange = (event: ChangeEvent) => { + const { value } = event.target; + if (value.length >= maxLength) { + setIsMaxLength(true); + } else { + setIsMaxLength(false); + } + + setName(value); + }; + + const handleDescriptionChange = (event: ChangeEvent) => { + setDescription(event.target.value); + }; + + return ( + <> + +