Merge branch 'release' into add_params_to_llms

This commit is contained in:
Gabriel Luiz Freitas Almeida 2023-06-28 22:29:37 -03:00
commit 1bad93c02c
100 changed files with 3078 additions and 1057 deletions

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@ -13,8 +13,9 @@
<img alt="Github License" src="https://img.shields.io/github/license/logspace-ai/langflow" />
</p>
<p>
<a href="https://discord.gg/FUhJnnJ9"><img alt="Discord Server" src="https://dcbadge.vercel.app/api/server/FUhJnnJ9?compact=true&style=flat"/></a>
<a href="https://discord.gg/EqksyE2EX9"><img alt="Discord Server" src="https://dcbadge.vercel.app/api/server/EqksyE2EX9?compact=true&style=flat"/></a>
<a href="https://huggingface.co/spaces/Logspace/LangFlow"><img src="https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg" alt="HuggingFace Spaces"></a>
</p>

1242
poetry.lock generated

File diff suppressed because it is too large Load diff

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@ -1,6 +1,6 @@
[tool.poetry]
name = "langflow"
version = "0.1.6"
version = "0.2.5"
description = "A Python package with a built-in web application"
authors = ["Logspace <contact@logspace.ai>"]
maintainers = [
@ -23,14 +23,14 @@ langflow = "langflow.__main__:main"
[tool.poetry.dependencies]
python = ">=3.9,<3.12"
fastapi = "^0.97.0"
fastapi = "^0.98.0"
uvicorn = "^0.22.0"
beautifulsoup4 = "^4.11.2"
google-search-results = "^2.4.1"
google-api-python-client = "^2.79.0"
typer = "^0.9.0"
gunicorn = "^20.1.0"
langchain = "^0.0.202"
langchain = "^0.0.218"
openai = "^0.27.8"
types-pyyaml = "^6.0.12.8"
pandas = "^1.5.3"
@ -51,12 +51,13 @@ tiktoken = "~0.4.0"
wikipedia = "^1.4.0"
langchain-serve = { version = ">0.0.39", optional = true }
qdrant-client = "^1.2.0"
websockets = "^11.0.3"
websockets = "^10.3"
weaviate-client = "^3.21.0"
jina = "3.15.2"
sentence-transformers = "^2.2.2"
ctransformers = "^0.2.2"
cohere = "^4.6.0"
python-multipart = "^0.0.6"
sqlmodel = "^0.0.8"
faiss-cpu = "^1.7.4"
anthropic = "^0.2.10"
@ -64,9 +65,14 @@ orjson = "^3.9.1"
multiprocess = "^0.70.14"
cachetools = "^5.3.1"
types-cachetools = "^5.3.0.5"
appdirs = "^1.4.4"
pinecone-client = "^2.2.2"
supabase = "^1.0.3"
pymongo = "^4.4.0"
certifi = "^2023.5.7"
[tool.poetry.group.dev.dependencies]
[tool.poetry.dev-dependencies]
black = "^23.1.0"
ipykernel = "^6.21.2"
mypy = "^1.1.1"
@ -78,6 +84,7 @@ requests = "^2.28.0"
pytest-cov = "^4.0.0"
pandas-stubs = "^2.0.0.230412"
types-pillow = "^9.5.0.2"
types-appdirs = "^1.4.3.5"
[tool.poetry.extras]

View file

@ -1,6 +1,5 @@
import sys
import time
from fastapi import FastAPI
import httpx
from multiprocess import Process, cpu_count # type: ignore
import platform
@ -11,9 +10,7 @@ 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.main import setup_app
from langflow.settings import settings
from langflow.utils.logger import configure, logger
import webbrowser
@ -30,6 +27,7 @@ def get_number_of_workers(workers=None):
def update_settings(
config: str,
cache: str,
dev: bool = False,
database_url: Optional[str] = None,
remove_api_keys: bool = False,
@ -41,6 +39,8 @@ def update_settings(
settings.update_settings(database_url=database_url)
if remove_api_keys:
settings.update_settings(remove_api_keys=remove_api_keys)
if cache:
settings.update_settings(cache=cache)
def serve_on_jcloud():
@ -102,6 +102,11 @@ def serve(
),
log_level: str = typer.Option("critical", help="Logging level."),
log_file: Path = typer.Option("logs/langflow.log", help="Path to the log file."),
cache: str = typer.Argument(
envvar="LANGCHAIN_CACHE",
help="Type of cache to use. (InMemoryCache, SQLiteCache)",
default="SQLiteCache",
),
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(
@ -130,17 +135,15 @@ def serve(
configure(log_level=log_level, log_file=log_file)
update_settings(
config, dev=dev, database_url=database_url, remove_api_keys=remove_api_keys
config,
dev=dev,
database_url=database_url,
remove_api_keys=remove_api_keys,
cache=cache,
)
# 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 = create_app()
setup_static_files(app, static_files_dir)
# create path object if path is provided
static_files_dir: Optional[Path] = Path(path) if path else None
app = setup_app(static_files_dir=static_files_dir)
# check if port is being used
if is_port_in_use(port, host):
port = get_free_port(port)
@ -188,29 +191,6 @@ def run_on_windows(host, port, log_level, options, app):
run_langflow(host, port, log_level, options, app)
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.

View file

@ -1,12 +1,14 @@
from typing import Optional
from langflow.cache.utils import save_uploaded_file
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, Depends, HTTPException
from fastapi import APIRouter, Depends, HTTPException, UploadFile
from langflow.api.v1.schemas import (
PredictRequest,
PredictResponse,
ProcessResponse,
UploadFileResponse,
)
from langflow.interface.types import build_langchain_types_dict
@ -22,14 +24,17 @@ def get_all():
return build_langchain_types_dict()
@router.post("/predict/{flow_id}", response_model=PredictResponse)
async def predict_flow(
predict_request: PredictRequest,
# For backwards compatibility we will keep the old endpoint
@router.post("/predict/{flow_id}", response_model=ProcessResponse)
@router.post("/process/{flow_id}", response_model=ProcessResponse)
async def process_flow(
flow_id: str,
inputs: Optional[dict] = None,
tweaks: Optional[dict] = None,
session: Session = Depends(get_session),
):
"""
Endpoint to process a message using the flow passed in the bearer token.
Endpoint to process an input with a given flow_id.
"""
try:
@ -40,15 +45,14 @@ async def predict_flow(
if flow.data is None:
raise ValueError(f"Flow {flow_id} has no data")
graph_data = flow.data
if predict_request.tweaks:
if tweaks:
try:
graph_data = process_tweaks(graph_data, predict_request.tweaks)
graph_data = process_tweaks(graph_data, 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", ""),
response = process_graph_cached(graph_data, inputs)
return ProcessResponse(
result=response,
)
except Exception as e:
# Log stack trace
@ -56,6 +60,21 @@ async def predict_flow(
raise HTTPException(status_code=500, detail=str(e)) from e
@router.post("/upload/{flow_id}", response_model=UploadFileResponse, status_code=201)
async def create_upload_file(file: UploadFile, flow_id: str):
# Cache file
try:
file_path = save_uploaded_file(file.file, folder_name=flow_id)
return UploadFileResponse(
flowId=flow_id,
file_path=file_path,
)
except Exception as exc:
logger.error(f"Error saving file: {exc}")
raise HTTPException(status_code=500, detail=str(exc)) from exc
# get endpoint to return version of langflow
@router.get("/version")
def get_version():

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@ -1,3 +1,4 @@
from pathlib import Path
from typing import Any, Dict, List, Optional, Union
from langflow.database.models.flow import FlowCreate, FlowRead
from pydantic import BaseModel, Field, validator
@ -20,34 +21,22 @@ class ExportedFlow(BaseModel):
data: GraphData
class PredictRequest(BaseModel):
"""Predict request schema."""
class InputRequest(BaseModel):
input: dict
message: str
class TweaksRequest(BaseModel):
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 UpdateTemplateRequest(BaseModel):
template: dict
class PredictResponse(BaseModel):
"""Predict response schema."""
class ProcessResponse(BaseModel):
"""Process response schema."""
result: str
intermediate_steps: str = ""
result: dict
class ChatMessage(BaseModel):
@ -104,6 +93,13 @@ class BuiltResponse(BaseModel):
built: bool
class UploadFileResponse(BaseModel):
"""Upload file response schema."""
flowId: str
file_path: Path
class StreamData(BaseModel):
event: str
data: dict

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@ -1,5 +1,3 @@
import json
from fastapi import APIRouter, HTTPException
from langflow.api.v1.base import (
@ -9,8 +7,6 @@ from langflow.api.v1.base import (
PromptValidationResponse,
validate_prompt,
)
from langflow.graph.vertex.types import VectorStoreVertex
from langflow.graph import Graph
from langflow.utils.logger import logger
from langflow.utils.validate import validate_code
@ -37,21 +33,3 @@ 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 = Graph.from_payload(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, VectorStoreVertex):
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, "params": str(e)})

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@ -62,9 +62,6 @@ class BaseCache(abc.ABC):
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

View file

@ -8,15 +8,17 @@ import tempfile
from collections import OrderedDict
from pathlib import Path
from typing import Any, Dict
from appdirs import user_cache_dir
CACHE: Dict[str, Any] = {}
CACHE_DIR = user_cache_dir("langflow", "langflow")
def create_cache_folder(func):
def wrapper(*args, **kwargs):
# Get the destination folder
cache_path = Path(tempfile.gettempdir()) / PREFIX
cache_path = Path(CACHE_DIR) / PREFIX
# Create the destination folder if it doesn't exist
os.makedirs(cache_path, exist_ok=True)
@ -118,7 +120,7 @@ def save_binary_file(content: str, file_name: str, accepted_types: list[str]) ->
raise ValueError(f"File {file_name} is not accepted")
# Get the destination folder
cache_path = Path(tempfile.gettempdir()) / PREFIX
cache_path = Path(CACHE_DIR) / PREFIX
if not content:
raise ValueError("Please, reload the file in the loader.")
data = content.split(",")[1]
@ -132,3 +134,46 @@ def save_binary_file(content: str, file_name: str, accepted_types: list[str]) ->
file.write(decoded_bytes)
return file_path
@create_cache_folder
def save_uploaded_file(file, folder_name):
"""
Save an uploaded file to the specified folder with a hash of its content as the file name.
Args:
file: The uploaded file object.
folder_name: The name of the folder to save the file in.
Returns:
The path to the saved file.
"""
cache_path = Path(CACHE_DIR)
folder_path = cache_path / folder_name
# Create the folder if it doesn't exist
if not folder_path.exists():
folder_path.mkdir()
# Create a hash of the file content
sha256_hash = hashlib.sha256()
# Reset the file cursor to the beginning of the file
file.seek(0)
# Iterate over the uploaded file in small chunks to conserve memory
while chunk := file.read(8192): # Read 8KB at a time (adjust as needed)
sha256_hash.update(chunk)
# Use the hex digest of the hash as the file name
hex_dig = sha256_hash.hexdigest()
file_name = hex_dig
# Reset the file cursor to the beginning of the file
file.seek(0)
# Save the file with the hash as its name
file_path = folder_path / file_name
with open(file_path, "wb") as new_file:
while chunk := file.read(8192):
new_file.write(chunk)
return file_path

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@ -0,0 +1,2 @@
class ChatConfig:
streaming: bool = True

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@ -144,6 +144,8 @@ class ChatManager:
if isinstance(msg, FileResponse):
if msg.data_type == "image":
# Base64 encode the image
if isinstance(msg.data, str):
continue
msg.data = pil_to_base64(msg.data)
file_responses.append(msg)
if msg.type == "start":

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@ -1,136 +1,247 @@
---
agents:
- ZeroShotAgent
- JsonAgent
- CSVAgent
- AgentInitializer
- VectorStoreAgent
- VectorStoreRouterAgent
- SQLAgent
ZeroShotAgent:
documentation: "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent"
JsonAgent:
documentation: "https://python.langchain.com/docs/modules/agents/toolkits/openapi"
CSVAgent:
documentation: "https://python.langchain.com/docs/modules/agents/toolkits/csv"
AgentInitializer:
documentation: "https://python.langchain.com/docs/modules/agents/agent_types/"
VectorStoreAgent:
documentation: ""
VectorStoreRouterAgent:
documentation: ""
SQLAgent:
documentation: ""
chains:
- LLMChain
- LLMMathChain
- LLMCheckerChain
- ConversationChain
- SeriesCharacterChain
- MidJourneyPromptChain
- TimeTravelGuideChain
- SQLDatabaseChain
- RetrievalQA
- RetrievalQAWithSourcesChain
- ConversationalRetrievalChain
- CombineDocsChain
LLMChain:
documentation: "https://python.langchain.com/docs/modules/chains/foundational/llm_chain"
LLMMathChain:
documentation: "https://python.langchain.com/docs/modules/chains/additional/llm_math"
LLMCheckerChain:
documentation: "https://python.langchain.com/docs/modules/chains/additional/llm_checker"
ConversationChain:
documentation: ""
SeriesCharacterChain:
documentation: ""
MidJourneyPromptChain:
documentation: ""
TimeTravelGuideChain:
documentation: ""
SQLDatabaseChain:
documentation: ""
RetrievalQA:
documentation: "https://python.langchain.com/docs/modules/chains/popular/vector_db_qa"
RetrievalQAWithSourcesChain:
documentation: ""
ConversationalRetrievalChain:
documentation: "https://python.langchain.com/docs/modules/chains/popular/chat_vector_db"
CombineDocsChain:
documentation: ""
documentloaders:
- AirbyteJSONLoader
- CoNLLULoader
- CSVLoader
- UnstructuredEmailLoader
- EverNoteLoader
- FacebookChatLoader
- GutenbergLoader
- BSHTMLLoader
- UnstructuredHTMLLoader
# - UnstructuredImageLoader # Issue with Python 3.11 (https://github.com/Unstructured-IO/unstructured-inference/issues/83)
- UnstructuredMarkdownLoader
- PyPDFLoader
- UnstructuredPowerPointLoader
- SRTLoader
- TelegramChatLoader
- TextLoader
- UnstructuredWordDocumentLoader
- WebBaseLoader
- AZLyricsLoader
- CollegeConfidentialLoader
- HNLoader
- IFixitLoader
- IMSDbLoader
- GitbookLoader
- ReadTheDocsLoader
- SlackDirectoryLoader
- NotionDirectoryLoader
AirbyteJSONLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/airbyte_json"
CoNLLULoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/conll-u"
CSVLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv"
UnstructuredEmailLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/email"
EverNoteLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/evernote"
FacebookChatLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/facebook_chat"
GutenbergLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gutenberg"
BSHTMLLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html"
UnstructuredHTMLLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/html"
UnstructuredMarkdownLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/markdown"
PyPDFLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/pdf"
UnstructuredPowerPointLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_powerpoint"
SRTLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/subtitle"
TelegramChatLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/telegram"
TextLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/"
UnstructuredWordDocumentLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/microsoft_word"
WebBaseLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_base"
AZLyricsLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/azlyrics"
CollegeConfidentialLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/college_confidential"
HNLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/hacker_news"
IFixitLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/ifixit"
IMSDbLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/imsdb"
GitbookLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/gitbook"
ReadTheDocsLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/readthedocs_documentation"
SlackDirectoryLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/slack"
NotionDirectoryLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/notion"
DirectoryLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/how_to/file_directory"
GitLoader:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/git"
embeddings:
- OpenAIEmbeddings
- HuggingFaceEmbeddings
- CohereEmbeddings
OpenAIEmbeddings:
documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai"
HuggingFaceEmbeddings:
documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers"
CohereEmbeddings:
documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere"
llms:
- OpenAI
# - AzureOpenAI
# - AzureChatOpenAI
- ChatOpenAI
- LlamaCpp
- CTransformers
- Cohere
- Anthropic
- ChatAnthropic
- HuggingFaceHub
OpenAI:
documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai"
ChatOpenAI:
documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai"
LlamaCpp:
documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/llamacpp"
CTransformers:
documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/ctransformers"
Cohere:
documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/cohere"
Anthropic:
documentation: ""
ChatAnthropic:
documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/anthropic"
HuggingFaceHub:
documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/huggingface_hub"
memories:
- ConversationBufferMemory
- ConversationSummaryMemory
- ConversationKGMemory
ConversationBufferMemory:
documentation: "https://python.langchain.com/docs/modules/memory/how_to/summary"
ConversationSummaryMemory:
documentation: "https://python.langchain.com/docs/modules/memory/how_to/summary"
ConversationKGMemory:
documentation: "https://python.langchain.com/docs/modules/memory/how_to/kg"
ConversationBufferWindowMemory:
documentation: "https://python.langchain.com/docs/modules/memory/how_to/buffer_window"
VectorStoreRetrieverMemory:
documentation: "https://python.langchain.com/docs/modules/memory/how_to/vectorstore_retriever_memory"
prompts:
- PromptTemplate
- FewShotPromptTemplate
- ZeroShotPrompt
PromptTemplate:
documentation: "https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/"
ZeroShotPrompt:
documentation: "https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent"
textsplitters:
- CharacterTextSplitter
- RecursiveCharacterTextSplitter
# - LatexTextSplitter
# - PythonCodeTextSplitter
CharacterTextSplitter:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter"
RecursiveCharacterTextSplitter:
documentation: "https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/recursive_text_splitter"
toolkits:
- OpenAPIToolkit
- JsonToolkit
- VectorStoreInfo
- VectorStoreRouterToolkit
- VectorStoreToolkit
OpenAPIToolkit:
documentation: ""
JsonToolkit:
documentation: ""
VectorStoreInfo:
documentation: ""
VectorStoreRouterToolkit:
documentation: ""
VectorStoreToolkit:
documentation: ""
tools:
- Search
- PAL-MATH
- Calculator
- Serper Search
- Tool
- PythonFunctionTool
- 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
Search:
documentation: ""
PAL-MATH:
documentation: ""
Calculator:
documentation: ""
Serper Search:
documentation: ""
Tool:
documentation: ""
PythonFunctionTool:
documentation: ""
PythonFunction:
documentation: ""
JsonSpec:
documentation: ""
News API:
documentation: ""
TMDB API:
documentation: ""
Podcast API:
documentation: ""
QuerySQLDataBaseTool:
documentation: ""
InfoSQLDatabaseTool:
documentation: ""
ListSQLDatabaseTool:
documentation: ""
BingSearchRun:
documentation: ""
GoogleSearchRun:
documentation: ""
GoogleSearchResults:
documentation: ""
GoogleSerperRun:
documentation: ""
JsonListKeysTool:
documentation: ""
JsonGetValueTool:
documentation: ""
PythonREPLTool:
documentation: ""
PythonAstREPLTool:
documentation: ""
RequestsGetTool:
documentation: ""
RequestsPostTool:
documentation: ""
RequestsPatchTool:
documentation: ""
RequestsPutTool:
documentation: ""
RequestsDeleteTool:
documentation: ""
WikipediaQueryRun:
documentation: ""
WolframAlphaQueryRun:
documentation: ""
utilities:
- BingSearchAPIWrapper
- GoogleSearchAPIWrapper
- GoogleSerperAPIWrapper
- SearxResults
- SearxSearchWrapper
- SerpAPIWrapper
- WikipediaAPIWrapper
- WolframAlphaAPIWrapper
# - ZapierNLAWrapper
- SQLDatabase
BingSearchAPIWrapper:
documentation: ""
GoogleSearchAPIWrapper:
documentation: ""
GoogleSerperAPIWrapper:
documentation: ""
SearxResults:
documentation: ""
SearxSearchWrapper:
documentation: ""
SerpAPIWrapper:
documentation: ""
WikipediaAPIWrapper:
documentation: ""
WolframAlphaAPIWrapper:
documentation: ""
vectorstores:
- Chroma
- Qdrant
- Weaviate
- FAISS
Chroma:
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma"
Qdrant:
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/qdrant"
Weaviate:
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/weaviate"
FAISS:
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/faiss"
Pinecone:
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/pinecone"
SupabaseVectorStore:
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/supabase"
MongoDBAtlasVectorSearch:
documentation: "https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/mongodb_atlas_vector_search"
wrappers:
- RequestsWrapper
# - ChatPromptTemplate
# - SystemMessagePromptTemplate
# - HumanMessagePromptTemplate
RequestsWrapper:
documentation: ""

View file

@ -146,7 +146,7 @@ class Graph:
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)
logger.debug("Sorted vertices: %s", sorted_vertices)
yield from sorted_vertices
def get_node_neighbors(self, node: Vertex) -> Dict[Vertex, int]:

View file

@ -30,9 +30,6 @@ from langflow.interface.wrappers.base import wrapper_creator
from typing import Dict, Type
DIRECT_TYPES = ["str", "bool", "code", "int", "float", "Any", "prompt"]
VERTEX_TYPE_MAP: Dict[str, Type[Vertex]] = {
**{t: PromptVertex for t in prompt_creator.to_list()},
**{t: AgentVertex for t in agent_creator.to_list()},

View file

@ -1,6 +1,5 @@
from langflow.cache import utils as cache_utils
from langflow.graph.vertex.constants import DIRECT_TYPES
from langflow.interface import loading
from langflow.utils.constants import DIRECT_TYPES
from langflow.interface.initialize import loading
from langflow.interface.listing import ALL_TYPES_DICT
from langflow.utils.logger import logger
from langflow.utils.util import sync_to_async
@ -90,12 +89,7 @@ class Vertex:
# Load the type in value.get('suffixes') using
# what is inside value.get('content')
# value.get('value') is the file name
file_name = value.get("value")
content = value.get("content")
type_to_load = value.get("suffixes")
file_path = cache_utils.save_binary_file(
content=content, file_name=file_name, accepted_types=type_to_load
)
file_path = value.get("file_path")
params[key] = file_path

View file

@ -1 +1 @@
DIRECT_TYPES = ["str", "bool", "code", "int", "float", "Any", "prompt"]

View file

@ -106,9 +106,6 @@ class VectorStoreVertex(Vertex):
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 MemoryVertex(Vertex):
def __init__(self, data: Dict):

View file

@ -6,6 +6,7 @@ from langchain.agents import (
Tool,
ZeroShotAgent,
initialize_agent,
AgentType,
)
from langchain.agents.agent_toolkits import (
SQLDatabaseToolkit,
@ -192,7 +193,7 @@ class SQLAgent(CustomAgentExecutor):
from langchain.tools.sql_database.tool import (
InfoSQLDatabaseTool,
ListSQLDatabaseTool,
QueryCheckerTool,
QuerySQLCheckerTool,
QuerySQLDataBaseTool,
)
@ -207,7 +208,7 @@ class SQLAgent(CustomAgentExecutor):
QuerySQLDataBaseTool(db=db), # type: ignore
InfoSQLDatabaseTool(db=db), # type: ignore
ListSQLDatabaseTool(db=db), # type: ignore
QueryCheckerTool(db=db, llm_chain=llmchain, llm=llm), # type: ignore
QuerySQLCheckerTool(db=db, llm_chain=llmchain, llm=llm), # type: ignore
]
prefix = SQL_PREFIX.format(dialect=toolkit.dialect, top_k=10)
@ -297,6 +298,9 @@ class InitializeAgent(CustomAgentExecutor):
agent: str,
memory: Optional[BaseChatMemory] = None,
):
# Find which value in the AgentType enum corresponds to the string
# passed in as agent
agent = AgentType(agent)
return initialize_agent(
tools=tools,
llm=llm,

View file

@ -8,6 +8,7 @@ from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode
from langflow.template.template.base import Template
from langflow.utils.logger import logger
from langflow.settings import settings
# Assuming necessary imports for Field, Template, and FrontendNode classes
@ -15,12 +16,29 @@ from langflow.utils.logger import logger
class LangChainTypeCreator(BaseModel, ABC):
type_name: str
type_dict: Optional[Dict] = None
name_docs_dict: Optional[Dict[str, str]] = None
@property
def frontend_node_class(self) -> Type[FrontendNode]:
"""The class type of the FrontendNode created in frontend_node."""
return FrontendNode
@property
def docs_map(self) -> Dict[str, str]:
"""A dict with the name of the component as key and the documentation link as value."""
if self.name_docs_dict is None:
try:
type_settings = getattr(settings, self.type_name)
self.name_docs_dict = {
name: value_dict["documentation"]
for name, value_dict in type_settings.items()
}
except AttributeError as exc:
logger.error(exc)
self.name_docs_dict = {}
return self.name_docs_dict
@property
@abstractmethod
def type_to_loader_dict(self) -> Dict:
@ -68,7 +86,7 @@ class LangChainTypeCreator(BaseModel, ABC):
value=value.get("value", None),
suffixes=value.get("suffixes", []),
file_types=value.get("fileTypes", []),
content=value.get("content", None),
file_path=value.get("file_path", None),
)
for key, value in signature["template"].items()
if key != "_type"
@ -83,7 +101,7 @@ class LangChainTypeCreator(BaseModel, ABC):
signature.add_extra_fields()
signature.add_extra_base_classes()
signature.set_documentation(self.docs_map.get(name, ""))
return signature

View file

@ -1,31 +1,26 @@
import json
from typing import Any, Callable, Dict, Optional
from typing import Any, Callable, Dict, Sequence, Type
from langchain.agents import ZeroShotAgent
from langchain.agents import agent as agent_module
from langchain.agents.agent import AgentExecutor
from langchain.agents.agent_toolkits.base import BaseToolkit
from langchain.agents.load_tools import (
_BASE_TOOLS,
_EXTRA_LLM_TOOLS,
_EXTRA_OPTIONAL_TOOLS,
_LLM_TOOLS,
)
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.loading import load_llm_from_config
from langchain.agents.tools import BaseTool
from langflow.interface.initialize.vector_store import vecstore_initializer
from pydantic import ValidationError
from langflow.interface.custom_lists import CUSTOM_NODES
from langflow.interface.importing.utils import get_function, import_by_type
from langflow.interface.toolkits.base import toolkits_creator
from langflow.interface.chains.base import chain_creator
from langflow.interface.types import get_type_list
from langflow.interface.utils import load_file_into_dict
from langflow.utils import util, validate
from langflow.utils import validate
from langchain.chains.base import Chain
from langchain.vectorstores.base import VectorStore
from langchain.document_loaders.base import BaseLoader
from langchain.prompts.base import BasePromptTemplate
def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any:
@ -88,11 +83,11 @@ def instantiate_based_on_type(class_object, base_type, node_type, params):
return class_object(**params)
def instantiate_llm(node_type, class_object, params):
def instantiate_llm(node_type, class_object, params: Dict):
return class_object(**params)
def instantiate_chains(node_type, class_object, params):
def instantiate_chains(node_type, class_object: Type[Chain], params: Dict):
if "retriever" in params and hasattr(params["retriever"], "as_retriever"):
params["retriever"] = params["retriever"].as_retriever()
if node_type in chain_creator.from_method_nodes:
@ -104,11 +99,11 @@ def instantiate_chains(node_type, class_object, params):
return class_object(**params)
def instantiate_agent(class_object, params):
def instantiate_agent(class_object: Type[agent_module.Agent], params: Dict):
return load_agent_executor(class_object, params)
def instantiate_prompt(node_type, class_object, params):
def instantiate_prompt(node_type, class_object: Type[BasePromptTemplate], params: Dict):
if node_type == "ZeroShotPrompt":
if "tools" not in params:
params["tools"] = []
@ -116,7 +111,7 @@ def instantiate_prompt(node_type, class_object, params):
return class_object(**params)
def instantiate_tool(node_type, class_object, params):
def instantiate_tool(node_type, class_object: Type[BaseTool], params: Dict):
if node_type == "JsonSpec":
params["dict_"] = load_file_into_dict(params.pop("path"))
return class_object(**params)
@ -134,7 +129,7 @@ def instantiate_tool(node_type, class_object, params):
return class_object(**params)
def instantiate_toolkit(node_type, class_object, params):
def instantiate_toolkit(node_type, class_object: Type[BaseToolkit], params: Dict):
loaded_toolkit = class_object(**params)
# Commenting this out for now to use toolkits as normal tools
# if toolkits_creator.has_create_function(node_type):
@ -144,7 +139,7 @@ def instantiate_toolkit(node_type, class_object, params):
return loaded_toolkit
def instantiate_embedding(class_object, params):
def instantiate_embedding(class_object, params: Dict):
params.pop("model", None)
params.pop("headers", None)
try:
@ -158,40 +153,81 @@ def instantiate_embedding(class_object, params):
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."
def instantiate_vectorstore(class_object: Type[VectorStore], params: Dict):
search_kwargs = params.pop("search_kwargs", {})
if initializer := vecstore_initializer.get(class_object.__name__):
vecstore = initializer(class_object, params)
else:
if "texts" in params:
params["documents"] = params.pop("texts")
vecstore = class_object.from_documents(**params)
# ! This might not work. Need to test
if search_kwargs and hasattr(vecstore, "as_retriever"):
vecstore = vecstore.as_retriever(search_kwargs=search_kwargs)
return vecstore
def instantiate_documentloader(class_object: Type[BaseLoader], params: Dict):
if "file_filter" in params:
# file_filter will be a string but we need a function
# that will be used to filter the files using file_filter
# like lambda x: x.endswith(".txt") but as we don't know
# anything besides the string, we will simply check if the string is
# in x and if it is, we will return True
file_filter = params.pop("file_filter", None)
extensions = file_filter.split(",")
params["file_filter"] = lambda x: any(
extension.strip() in x for extension in extensions
)
# Chroma requires all metadata values to not be None
if class_object.__name__ == "Chroma":
for doc in params["documents"]:
if doc.metadata is None:
doc.metadata = {}
for key, value in doc.metadata.items():
if value is None:
doc.metadata[key] = ""
return class_object.from_documents(**params)
metadata = params.pop("metadata", None)
if metadata and isinstance(metadata, str):
try:
metadata = json.loads(metadata)
except json.JSONDecodeError as exc:
raise ValueError(
"The metadata you provided is not a valid JSON string."
) from exc
docs = class_object(**params).load()
# Now if metadata is an empty dict, we will not add it to the documents
if metadata:
for doc in docs:
# If the document already has metadata, we will not overwrite it
if not doc.metadata:
doc.metadata = metadata
else:
doc.metadata.update(metadata)
return docs
def instantiate_documentloader(class_object, params):
return class_object(**params).load()
def instantiate_textsplitter(class_object, params):
def instantiate_textsplitter(
class_object,
params: Dict,
):
try:
documents = params.pop("documents")
except KeyError as e:
except KeyError as exc:
raise ValueError(
"The source you provided did not load correctly or was empty."
"Try changing the chunk_size of the Text Splitter."
) from e
text_splitter = class_object(**params)
) from exc
if (
"separator_type" in params
and params["separator_type"] == "Text"
or "separator_type" not in params
):
text_splitter = class_object(**params)
else:
params["language"] = params.pop("separator_type", None)
params.pop("separators", None)
text_splitter = class_object.from_language(**params)
return text_splitter.split_documents(documents)
def instantiate_utility(node_type, class_object, params):
def instantiate_utility(node_type, class_object, params: Dict):
if node_type == "SQLDatabase":
return class_object.from_uri(params.pop("uri"))
return class_object(**params)
@ -213,48 +249,14 @@ def replace_zero_shot_prompt_with_prompt_template(nodes):
return nodes
def load_langchain_type_from_config(config: Dict[str, Any]):
"""Load langchain type from config"""
# Get type list
type_list = get_type_list()
if config["_type"] in type_list["agents"]:
config = util.update_verbose(config, new_value=False)
return load_agent_executor_from_config(config, verbose=True)
elif config["_type"] in type_list["chains"]:
config = util.update_verbose(config, new_value=False)
return load_chain_from_config(config, verbose=True)
elif config["_type"] in type_list["llms"]:
config = util.update_verbose(config, new_value=True)
return load_llm_from_config(config)
else:
raise ValueError("Type should be either agent, chain or llm")
def load_agent_executor_from_config(
config: dict,
llm: Optional[BaseLanguageModel] = None,
tools: Optional[list[Tool]] = None,
callback_manager: Optional[BaseCallbackManager] = None,
**kwargs: Any,
):
tools = load_tools_from_config(config["allowed_tools"])
config["allowed_tools"] = [tool.name for tool in tools] if tools else []
agent_obj = load_agent_from_config(config, llm, tools, **kwargs)
return AgentExecutor.from_agent_and_tools(
agent=agent_obj,
tools=tools,
callback_manager=callback_manager,
**kwargs,
)
def load_agent_executor(agent_class: type[agent_module.Agent], params, **kwargs):
"""Load agent executor from agent class, tools and chain"""
allowed_tools = params.get("allowed_tools", [])
allowed_tools: Sequence[BaseTool] = 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)):
if not isinstance(allowed_tools, (list, set)) and isinstance(
allowed_tools, BaseTool
):
allowed_tools = [allowed_tools]
tool_names = [tool.name for tool in allowed_tools]
# Agent class requires an output_parser but Agent classes
@ -273,46 +275,6 @@ def load_toolkits_executor(node_type: str, toolkit: BaseToolkit, params: dict):
return create_function(llm=llm, toolkit=toolkit)
def load_tools_from_config(tool_list: list[dict]) -> list:
"""Load tools based on a config list.
Args:
config: config list.
Returns:
List of tools.
"""
tools = []
for tool in tool_list:
tool_type = tool.pop("_type")
llm_config = tool.pop("llm", None)
llm = load_llm_from_config(llm_config) if llm_config else None
kwargs = tool
if tool_type in _BASE_TOOLS:
tools.append(_BASE_TOOLS[tool_type]())
elif tool_type in _LLM_TOOLS:
if llm is None:
raise ValueError(f"Tool {tool_type} requires an LLM to be provided")
tools.append(_LLM_TOOLS[tool_type](llm))
elif tool_type in _EXTRA_LLM_TOOLS:
if llm is None:
raise ValueError(f"Tool {tool_type} requires an LLM to be provided")
_get_llm_tool_func, extra_keys = _EXTRA_LLM_TOOLS[tool_type]
if missing_keys := set(extra_keys).difference(kwargs):
raise ValueError(
f"Tool {tool_type} requires some parameters that were not "
f"provided: {missing_keys}"
)
tools.append(_get_llm_tool_func(llm=llm, **kwargs))
elif tool_type in _EXTRA_OPTIONAL_TOOLS:
_get_tool_func, extra_keys = _EXTRA_OPTIONAL_TOOLS[tool_type]
kwargs = {k: value for k, value in kwargs.items() if value}
tools.append(_get_tool_func(**kwargs))
else:
raise ValueError(f"Got unknown tool {tool_type}")
return tools
def build_prompt_template(prompt, tools):
"""Build PromptTemplate from ZeroShotPrompt"""
prefix = prompt["node"]["template"]["prefix"]["value"]

View file

@ -0,0 +1,223 @@
import json
from typing import Any, Callable, Dict, Type
from langchain.vectorstores import (
Pinecone,
Qdrant,
Chroma,
FAISS,
Weaviate,
SupabaseVectorStore,
MongoDBAtlasVectorSearch,
)
import os
def docs_in_params(params: dict) -> bool:
"""Check if params has documents OR texts and one of them is not an empty list,
If any of them is not an empty list, return True, else return False"""
return ("documents" in params and params["documents"]) or (
"texts" in params and params["texts"]
)
def initialize_mongodb(class_object: Type[MongoDBAtlasVectorSearch], params: dict):
"""Initialize mongodb and return the class object"""
MONGODB_ATLAS_CLUSTER_URI = params.pop("mongodb_atlas_cluster_uri")
if not MONGODB_ATLAS_CLUSTER_URI:
raise ValueError("Mongodb atlas cluster uri must be provided in the params")
from pymongo import MongoClient
import certifi
client: MongoClient = MongoClient(
MONGODB_ATLAS_CLUSTER_URI, tlsCAFile=certifi.where()
)
db_name = params.pop("db_name", None)
collection_name = params.pop("collection_name", None)
if not db_name or not collection_name:
raise ValueError("db_name and collection_name must be provided in the params")
index_name = params.pop("index_name", None)
if not index_name:
raise ValueError("index_name must be provided in the params")
collection = client[db_name][collection_name]
if not docs_in_params(params):
# __init__ requires collection, embedding and index_name
init_args = {
"collection": collection,
"index_name": index_name,
"embedding": params.get("embedding"),
}
return class_object(**init_args)
if "texts" in params:
params["documents"] = params.pop("texts")
params["collection"] = collection
params["index_name"] = index_name
return class_object.from_documents(**params)
def initialize_supabase(class_object: Type[SupabaseVectorStore], params: dict):
"""Initialize supabase and return the class object"""
from supabase.client import Client, create_client
if "supabase_url" not in params or "supabase_service_key" not in params:
raise ValueError("Supabase url and service key must be provided in the params")
if "texts" in params:
params["documents"] = params.pop("texts")
client_kwargs = {
"supabase_url": params.pop("supabase_url"),
"supabase_key": params.pop("supabase_service_key"),
}
supabase: Client = create_client(**client_kwargs)
if not docs_in_params(params):
params.pop("documents", None)
params.pop("texts", None)
return class_object(client=supabase, **params)
# If there are docs in the params, create a new index
return class_object.from_documents(client=supabase, **params)
def initialize_weaviate(class_object: Type[Weaviate], params: dict):
"""Initialize weaviate and return the class object"""
if not docs_in_params(params):
import weaviate # type: ignore
client_kwargs_json = params.get("client_kwargs", "{}")
client_kwargs = json.loads(client_kwargs_json)
client_params = {
"url": params.get("weaviate_url"),
}
client_params.update(client_kwargs)
weaviate_client = weaviate.Client(**client_params)
new_params = {
"client": weaviate_client,
"index_name": params.get("index_name"),
"text_key": params.get("text_key"),
}
return class_object(**new_params)
# If there are docs in the params, create a new index
if "texts" in params:
params["documents"] = params.pop("texts")
return class_object.from_documents(**params)
def initialize_faiss(class_object: Type[FAISS], params: dict):
"""Initialize faiss and return the class object"""
if not docs_in_params(params):
return class_object.load_local
save_local = params.get("save_local")
faiss_index = class_object(**params)
if save_local:
faiss_index.save_local(folder_path=save_local)
return faiss_index
def initialize_pinecone(class_object: Type[Pinecone], params: dict):
"""Initialize pinecone and return the class object"""
import pinecone # type: ignore
pinecone_api_key = params.get("pinecone_api_key")
pinecone_env = params.get("pinecone_env")
if pinecone_api_key is None or pinecone_env is None:
if os.getenv("PINECONE_API_KEY") is not None:
pinecone_api_key = os.getenv("PINECONE_API_KEY")
if os.getenv("PINECONE_ENV") is not None:
pinecone_env = os.getenv("PINECONE_ENV")
if pinecone_api_key is None or pinecone_env is None:
raise ValueError(
"Pinecone API key and environment must be provided in the params"
)
# initialize pinecone
pinecone.init(
api_key=pinecone_api_key, # find at app.pinecone.io
environment=pinecone_env, # next to api key in console
)
# If there are no docs in the params, return an existing index
# but first remove any texts or docs keys from the params
if not docs_in_params(params):
existing_index_params = {
"embedding": params.pop("embedding"),
}
if "index_name" in params:
existing_index_params["index_name"] = params.pop("index_name")
if "namespace" in params:
existing_index_params["namespace"] = params.pop("namespace")
return class_object.from_existing_index(**existing_index_params)
# If there are docs in the params, create a new index
if "texts" in params:
params["documents"] = params.pop("texts")
return class_object.from_documents(**params)
def initialize_chroma(class_object: Type[Chroma], params: dict):
"""Initialize a ChromaDB object from the params"""
persist = params.pop("persist", False)
if not docs_in_params(params):
params.pop("documents", None)
params.pop("texts", None)
params["embedding_function"] = params.pop("embedding")
chromadb = class_object(**params)
else:
if "texts" in params:
params["documents"] = params.pop("texts")
for doc in params["documents"]:
if doc.metadata is None:
doc.metadata = {}
for key, value in doc.metadata.items():
if value is None:
doc.metadata[key] = ""
chromadb = class_object.from_documents(**params)
if persist:
chromadb.persist()
return chromadb
def initialize_qdrant(class_object: Type[Qdrant], params: dict):
if not docs_in_params(params):
if "location" not in params and "api_key" not in params:
raise ValueError("Location and API key must be provided in the params")
from qdrant_client import QdrantClient
client_params = {
"location": params.pop("location"),
"api_key": params.pop("api_key"),
}
lc_params = {
"collection_name": params.pop("collection_name"),
"embeddings": params.pop("embedding"),
}
client = QdrantClient(**client_params)
return class_object(client=client, **lc_params)
return class_object.from_documents(**params)
vecstore_initializer: Dict[str, Callable[[Type[Any], dict], Any]] = {
"Pinecone": initialize_pinecone,
"Chroma": initialize_chroma,
"Qdrant": initialize_qdrant,
"Weaviate": initialize_weaviate,
"FAISS": initialize_faiss,
"SupabaseVectorStore": initialize_supabase,
"MongoDBAtlasVectorSearch": initialize_mongodb,
}

View file

@ -4,9 +4,12 @@ import os
from io import BytesIO
import re
import yaml
from langchain.base_language import BaseLanguageModel
from PIL.Image import Image
from langflow.utils.logger import logger
from langflow.chat.config import ChatConfig
def load_file_into_dict(file_path: str) -> dict:
@ -48,9 +51,9 @@ def try_setting_streaming_options(langchain_object, websocket):
if isinstance(llm, BaseLanguageModel):
if hasattr(llm, "streaming") and isinstance(llm.streaming, bool):
llm.streaming = True
llm.streaming = ChatConfig.streaming
elif hasattr(llm, "stream") and isinstance(llm.stream, bool):
llm.stream = True
llm.stream = ChatConfig.streaming
return langchain_object
@ -58,3 +61,22 @@ def try_setting_streaming_options(langchain_object, websocket):
def extract_input_variables_from_prompt(prompt: str) -> list[str]:
"""Extract input variables from prompt."""
return re.findall(r"{(.*?)}", prompt)
def setup_llm_caching():
"""Setup LLM caching."""
try:
import langchain
from langflow.settings import settings
from langflow.interface.importing.utils import import_class
cache_class = import_class(f"langchain.cache.{settings.cache}")
logger.debug(f"Setting up LLM caching with {cache_class.__name__}")
langchain.llm_cache = cache_class()
logger.info(f"LLM caching setup with {cache_class.__name__}")
except ImportError:
logger.warning(f"Could not import {settings.cache}. ")
except Exception as exc:
logger.warning(f"Could not setup LLM caching. Error: {exc}")

View file

@ -1,8 +1,13 @@
from pathlib import Path
from typing import Optional
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import FileResponse
from fastapi.staticfiles import StaticFiles
from langflow.api import router
from langflow.database.base import create_db_and_tables
from langflow.interface.utils import setup_llm_caching
def create_app():
@ -28,6 +33,43 @@ def create_app():
app.include_router(router)
app.on_event("startup")(create_db_and_tables)
app.on_event("startup")(setup_llm_caching)
return app
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)
# app = create_app()
# setup_static_files(app, static_files_dir)
def setup_app(static_files_dir: Optional[Path]) -> FastAPI:
"""Setup the FastAPI app."""
# get the directory of the current file
if not static_files_dir:
frontend_path = Path(__file__).parent
static_files_dir = frontend_path / "frontend"
app = create_app()
setup_static_files(app, static_files_dir)
return app

View file

@ -1,5 +1,3 @@
import contextlib
import io
from pathlib import Path
from langchain.schema import AgentAction
import json
@ -10,7 +8,8 @@ from langflow.interface.run import (
)
from langflow.utils.logger import logger
from langflow.graph import Graph
from langchain.chains.base import Chain
from langchain.vectorstores.base import VectorStore
from typing import Any, Dict, List, Optional, Tuple, Union
@ -55,69 +54,42 @@ def format_actions(actions: List[Tuple[AgentAction, str]]) -> str:
return "\n".join(output)
def get_result_and_thought(langchain_object, message: str):
def get_result_and_thought(langchain_object: Any, inputs: dict):
"""Get result and thought from extracted json"""
try:
if hasattr(langchain_object, "verbose"):
langchain_object.verbose = True
chat_input = None
memory_key = ""
if hasattr(langchain_object, "memory") and langchain_object.memory is not None:
memory_key = langchain_object.memory.memory_key
if hasattr(langchain_object, "input_keys"):
for key in langchain_object.input_keys:
if key not in [memory_key, "chat_history"]:
chat_input = {key: message}
else:
chat_input = message # type: ignore
if hasattr(langchain_object, "return_intermediate_steps"):
# https://github.com/hwchase17/langchain/issues/2068
# Deactivating until we have a frontend solution
# to display intermediate steps
langchain_object.return_intermediate_steps = False
langchain_object.return_intermediate_steps = True
fix_memory_inputs(langchain_object)
with io.StringIO() as output_buffer, contextlib.redirect_stdout(output_buffer):
try:
# if hasattr(langchain_object, "acall"):
# output = await langchain_object.acall(chat_input)
# else:
output = langchain_object(chat_input)
except ValueError as exc:
# make the error message more informative
logger.debug(f"Error: {str(exc)}")
output = langchain_object.run(chat_input)
intermediate_steps = (
output.get("intermediate_steps", []) if isinstance(output, dict) else []
)
result = (
output.get(langchain_object.output_keys[0])
if isinstance(output, dict)
else output
)
if intermediate_steps:
thought = format_actions(intermediate_steps)
else:
thought = output_buffer.getvalue()
try:
output = langchain_object(inputs, return_only_outputs=True)
except ValueError as exc:
# make the error message more informative
logger.debug(f"Error: {str(exc)}")
output = langchain_object.run(inputs)
except Exception as exc:
raise ValueError(f"Error: {str(exc)}") from exc
return result, thought
return output
def process_graph_cached(data_graph: Dict[str, Any], message: str):
def get_input_str_if_only_one_input(inputs: dict) -> Optional[str]:
"""Get input string if only one input is provided"""
return list(inputs.values())[0] if len(inputs) == 1 else None
def process_graph_cached(data_graph: Dict[str, Any], inputs: Optional[dict] = None):
"""
Process graph by extracting input variables and replacing ZeroShotPrompt
with PromptTemplate,then run the graph and return the result and thought.
"""
# Load langchain object
langchain_object = build_langchain_object_with_caching(data_graph)
logger.debug("Loaded langchain object")
logger.debug("Loaded LangChain object")
if langchain_object is None:
# Raise user facing error
@ -126,10 +98,16 @@ def process_graph_cached(data_graph: Dict[str, Any], message: str):
)
# Generate result and thought
logger.debug("Generating result and thought")
result, thought = get_result_and_thought(langchain_object, message)
logger.debug("Generated result and thought")
return {"result": str(result), "thought": thought.strip()}
if isinstance(langchain_object, Chain):
if inputs is None:
raise ValueError("Inputs must be provided for a Chain")
logger.debug("Generating result and thought")
result = get_result_and_thought(langchain_object, inputs)
logger.debug("Generated result and thought")
elif isinstance(langchain_object, VectorStore):
class_name = langchain_object.__class__.__name__
result = {"message": f"Processed {class_name} successfully"}
return result
def load_flow_from_json(
@ -206,7 +184,8 @@ def apply_tweaks(node: Dict[str, Any], node_tweaks: Dict[str, Any]) -> None:
for tweak_name, tweak_value in node_tweaks.items():
if tweak_name and tweak_value and tweak_name in template_data:
template_data[tweak_name]["value"] = tweak_value
key = tweak_name if tweak_name == "file_path" else "value"
template_data[tweak_name][key] = tweak_value
def process_tweaks(

View file

@ -1,26 +1,26 @@
import os
from typing import List
import yaml
from pydantic import BaseSettings, root_validator
class Settings(BaseSettings):
chains: List[str] = []
agents: List[str] = []
prompts: List[str] = []
llms: List[str] = []
tools: List[str] = []
memories: List[str] = []
embeddings: List[str] = []
vectorstores: List[str] = []
documentloaders: List[str] = []
wrappers: List[str] = []
toolkits: List[str] = []
textsplitters: List[str] = []
utilities: List[str] = []
chains: dict = {}
agents: dict = {}
prompts: dict = {}
llms: dict = {}
tools: dict = {}
memories: dict = {}
embeddings: dict = {}
vectorstores: dict = {}
documentloaders: dict = {}
wrappers: dict = {}
toolkits: dict = {}
textsplitters: dict = {}
utilities: dict = {}
dev: bool = False
database_url: str = "sqlite:///./langflow.db"
cache: str = "InMemoryCache"
remove_api_keys: bool = False
class Config:
@ -37,16 +37,16 @@ class Settings(BaseSettings):
def update_from_yaml(self, file_path: str, dev: bool = False):
new_settings = load_settings_from_yaml(file_path)
self.chains = new_settings.chains or []
self.agents = new_settings.agents or []
self.prompts = new_settings.prompts or []
self.llms = new_settings.llms or []
self.tools = new_settings.tools or []
self.memories = new_settings.memories or []
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.chains = new_settings.chains or {}
self.agents = new_settings.agents or {}
self.prompts = new_settings.prompts or {}
self.llms = new_settings.llms or {}
self.tools = new_settings.tools or {}
self.memories = new_settings.memories or {}
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 = dev
def update_settings(self, **kwargs):

View file

@ -15,12 +15,13 @@ class TemplateFieldCreator(BaseModel, ABC):
suffixes: list[str] = []
fileTypes: list[str] = []
file_types: list[str] = []
content: Union[str, None] = None
file_path: Union[str, None] = None
password: bool = False
options: list[str] = []
name: str = ""
display_name: Optional[str] = None
advanced: bool = False
info: Optional[str] = ""
def to_dict(self):
result = self.dict()
@ -35,7 +36,7 @@ class TemplateFieldCreator(BaseModel, ABC):
result["fileTypes"] = result.pop("file_types")
if self.field_type == "file":
result["content"] = self.content
result["file_path"] = self.file_path
return result

View file

@ -15,14 +15,21 @@ class FrontendNode(BaseModel):
base_classes: List[str]
name: str = ""
display_name: str = ""
documentation: str = ""
def set_documentation(self, documentation: str) -> None:
"""Sets the documentation of the frontend node."""
self.documentation = documentation
def to_dict(self) -> dict:
"""Returns a dict representation of the frontend node."""
return {
self.name: {
"template": self.template.to_dict(self.format_field),
"description": self.description,
"base_classes": self.base_classes,
"display_name": self.display_name or self.name,
"documentation": self.documentation,
},
}

View file

@ -13,12 +13,37 @@ class ChainFrontendNode(FrontendNode):
self.template.add_field(
TemplateField(
field_type="BaseChatMemory",
required=False,
required=True,
show=True,
name="memory",
advanced=False,
)
)
# add return_source_documents
self.template.add_field(
TemplateField(
field_type="bool",
required=False,
show=True,
name="return_source_documents",
advanced=False,
value=True,
display_name="Return source documents",
)
)
self.template.add_field(
TemplateField(
field_type="str",
required=True,
is_list=True,
show=True,
multiline=False,
options=QA_CHAIN_TYPES,
value=QA_CHAIN_TYPES[0],
name="chain_type",
advanced=False,
)
)
@staticmethod
def format_field(field: TemplateField, name: Optional[str] = None) -> None:
@ -47,7 +72,7 @@ class ChainFrontendNode(FrontendNode):
field.show = True
field.advanced = False
if field.name == "memory":
field.required = False
# field.required = False
field.show = True
field.advanced = False
if field.name == "verbose":
@ -59,6 +84,12 @@ class ChainFrontendNode(FrontendNode):
field.show = True
field.advanced = False
if field.name == "return_source_documents":
field.required = False
field.show = True
field.advanced = True
field.value = True
class SeriesCharacterChainNode(FrontendNode):
name: str = "SeriesCharacterChain"

View file

@ -49,3 +49,12 @@ CTRANSFORMERS_DEFAULT_CONFIG = {
"context_length": -1,
"gpu_layers": 0,
}
# This variable is used to tell the user
# that it can be changed to use other APIs
# like Prem and LocalAI
OPENAI_API_BASE_INFO = """
The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.
You can change this to use other APIs like JinaChat, LocalAI and Prem.
"""

View file

@ -1,8 +1,9 @@
from typing import Optional
from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode
def build_template(
def build_file_field(
suffixes: list, fileTypes: list, name: str = "file_path"
) -> TemplateField:
"""Build a template field for a document loader."""
@ -19,33 +20,35 @@ def build_template(
class DocumentLoaderFrontNode(FrontendNode):
file_path_templates = {
"AirbyteJSONLoader": build_template(suffixes=[".json"], fileTypes=["json"]),
"CoNLLULoader": build_template(suffixes=[".csv"], fileTypes=["csv"]),
"CSVLoader": build_template(suffixes=[".csv"], fileTypes=["csv"]),
"UnstructuredEmailLoader": build_template(suffixes=[".eml"], fileTypes=["eml"]),
"EverNoteLoader": build_template(suffixes=[".xml"], fileTypes=["xml"]),
"FacebookChatLoader": build_template(suffixes=[".json"], fileTypes=["json"]),
"GutenbergLoader": build_template(suffixes=[".txt"], fileTypes=["txt"]),
"BSHTMLLoader": build_template(suffixes=[".html"], fileTypes=["html"]),
"UnstructuredHTMLLoader": build_template(
"AirbyteJSONLoader": build_file_field(suffixes=[".json"], fileTypes=["json"]),
"CoNLLULoader": build_file_field(suffixes=[".csv"], fileTypes=["csv"]),
"CSVLoader": build_file_field(suffixes=[".csv"], fileTypes=["csv"]),
"UnstructuredEmailLoader": build_file_field(
suffixes=[".eml"], fileTypes=["eml"]
),
"SlackDirectoryLoader": build_file_field(suffixes=[".zip"], fileTypes=["zip"]),
"EverNoteLoader": build_file_field(suffixes=[".xml"], fileTypes=["xml"]),
"FacebookChatLoader": build_file_field(suffixes=[".json"], fileTypes=["json"]),
"GutenbergLoader": build_file_field(suffixes=[".txt"], fileTypes=["txt"]),
"BSHTMLLoader": build_file_field(suffixes=[".html"], fileTypes=["html"]),
"UnstructuredHTMLLoader": build_file_field(
suffixes=[".html"], fileTypes=["html"]
),
"UnstructuredImageLoader": build_template(
"UnstructuredImageLoader": build_file_field(
suffixes=[".jpg", ".jpeg", ".png", ".gif", ".bmp"],
fileTypes=["jpg", "jpeg", "png", "gif", "bmp"],
),
"UnstructuredMarkdownLoader": build_template(
"UnstructuredMarkdownLoader": build_file_field(
suffixes=[".md"], fileTypes=["md"]
),
"PyPDFLoader": build_template(suffixes=[".pdf"], fileTypes=["pdf"]),
"UnstructuredPowerPointLoader": build_template(
"PyPDFLoader": build_file_field(suffixes=[".pdf"], fileTypes=["pdf"]),
"UnstructuredPowerPointLoader": build_file_field(
suffixes=[".pptx", ".ppt"], fileTypes=["pptx", "ppt"]
),
"SlackDirectoryLoader": build_template(suffixes=[".zip"], fileTypes=["zip"]),
"SRTLoader": build_template(suffixes=[".srt"], fileTypes=["srt"]),
"TelegramChatLoader": build_template(suffixes=[".json"], fileTypes=["json"]),
"TextLoader": build_template(suffixes=[".txt"], fileTypes=["txt"]),
"UnstructuredWordDocumentLoader": build_template(
"SRTLoader": build_file_field(suffixes=[".srt"], fileTypes=["srt"]),
"TelegramChatLoader": build_file_field(suffixes=[".json"], fileTypes=["json"]),
"TextLoader": build_file_field(suffixes=[".txt"], fileTypes=["txt"]),
"UnstructuredWordDocumentLoader": build_file_field(
suffixes=[".docx", ".doc"], fileTypes=["docx", "doc"]
),
}
@ -53,7 +56,54 @@ class DocumentLoaderFrontNode(FrontendNode):
def add_extra_fields(self) -> None:
name = None
display_name = "Web Page"
if self.template.type_name in self.file_path_templates:
if self.template.type_name in {"GitLoader"}:
# Add fields repo_path, clone_url, branch and file_filter
self.template.add_field(
TemplateField(
field_type="str",
required=True,
show=True,
name="repo_path",
value="",
display_name="Path to repository",
advanced=False,
)
)
self.template.add_field(
TemplateField(
field_type="str",
required=False,
show=True,
name="clone_url",
value="",
display_name="Clone URL",
advanced=False,
)
)
self.template.add_field(
TemplateField(
field_type="str",
required=True,
show=True,
name="branch",
value="",
display_name="Branch",
advanced=False,
)
)
self.template.add_field(
TemplateField(
field_type="str",
required=False,
show=True,
name="file_filter",
value="",
display_name="File extensions (comma-separated)",
advanced=False,
)
)
elif self.template.type_name in self.file_path_templates:
self.template.add_field(self.file_path_templates[self.template.type_name])
elif self.template.type_name in {
"WebBaseLoader",
@ -67,8 +117,9 @@ class DocumentLoaderFrontNode(FrontendNode):
elif self.template.type_name in {"GitbookLoader"}:
name = "web_page"
elif self.template.type_name in {
"NotionDirectoryLoader",
"DirectoryLoader",
"ReadTheDocsLoader",
"NotionDirectoryLoader",
}:
name = "path"
display_name = "Local directory"
@ -83,3 +134,34 @@ class DocumentLoaderFrontNode(FrontendNode):
display_name=display_name,
)
)
if self.template.type_name in {"DirectoryLoader"}:
self.template.add_field(
TemplateField(
field_type="str",
required=True,
show=True,
name="glob",
value="**/*.txt",
display_name="glob",
)
)
# add a metadata field of type dict
self.template.add_field(
TemplateField(
field_type="code",
required=True,
show=True,
name="metadata",
value="{}",
display_name="Metadata",
multiline=False,
)
)
@staticmethod
def format_field(field: TemplateField, name: Optional[str] = None) -> None:
FrontendNode.format_field(field, name)
if field.name == "metadata":
field.show = True
field.advanced = False
field.show = True

View file

@ -4,6 +4,7 @@ from typing import Optional
from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode
from langflow.template.frontend_node.constants import CTRANSFORMERS_DEFAULT_CONFIG
from langflow.template.frontend_node.constants import OPENAI_API_BASE_INFO
class LLMFrontendNode(FrontendNode):
@ -17,6 +18,9 @@ class LLMFrontendNode(FrontendNode):
if "key" not in field.name.lower() and "token" not in field.name.lower():
field.password = False
if field.name == "openai_api_base":
field.info = OPENAI_API_BASE_INFO
@staticmethod
def format_azure_field(field: TemplateField):
if field.name == "model_name":

View file

@ -18,6 +18,27 @@ class MemoryFrontendNode(FrontendNode):
value=False,
)
)
# add input_key and output_key str fields
self.template.add_field(
TemplateField(
field_type="str",
required=False,
show=True,
name="input_key",
advanced=True,
value="",
)
)
self.template.add_field(
TemplateField(
field_type="str",
required=False,
show=True,
name="output_key",
advanced=True,
value="",
)
)
@staticmethod
def format_field(field: TemplateField, name: Optional[str] = None) -> None:
@ -36,3 +57,10 @@ class MemoryFrontendNode(FrontendNode):
field.required = False
field.show = True
field.advanced = False
if field.name in ["input_key", "output_key"]:
field.required = False
field.show = True
field.advanced = False
field.value = ""
if field.name == "memory_key":
field.value = "chat_history"

View file

@ -1,5 +1,6 @@
from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode
from langchain.text_splitter import Language
class TextSplittersFrontendNode(FrontendNode):
@ -17,6 +18,22 @@ class TextSplittersFrontendNode(FrontendNode):
name = "separator"
elif self.template.type_name == "RecursiveCharacterTextSplitter":
name = "separators"
# Add a field for type of separator
# which will have Text or any value from the
# Language enum
self.template.add_field(
TemplateField(
field_type="str",
required=True,
show=True,
name="separator_type",
advanced=False,
is_list=True,
options=[x.value for x in Language],
value="Text",
display_name="Separator Type",
)
)
self.template.add_field(
TemplateField(
field_type="str",

View file

@ -96,6 +96,16 @@ class PythonFunctionToolNode(FrontendNode):
name="code",
advanced=False,
),
TemplateField(
field_type="bool",
required=True,
placeholder="",
is_list=False,
show=True,
multiline=False,
value=False,
name="return_direct",
),
],
)
description: str = "Python function to be executed."

View file

@ -1,4 +1,4 @@
from typing import Optional
from typing import List, Optional
from langflow.template.field.base import TemplateField
from langflow.template.frontend_node.base import FrontendNode
@ -6,6 +6,19 @@ from langflow.template.frontend_node.base import FrontendNode
class VectorStoreFrontendNode(FrontendNode):
def add_extra_fields(self) -> None:
extra_fields: List[TemplateField] = []
# Add search_kwargs field
extra_field = TemplateField(
name="search_kwargs",
field_type="code",
required=False,
placeholder="",
show=True,
advanced=True,
multiline=False,
value="{}",
)
extra_fields.append(extra_field)
if self.template.type_name == "Weaviate":
extra_field = TemplateField(
name="weaviate_url",
@ -17,17 +30,201 @@ class VectorStoreFrontendNode(FrontendNode):
multiline=False,
value="http://localhost:8080",
)
# Add client_kwargs field
extra_field2 = TemplateField(
name="client_kwargs",
field_type="code",
required=False,
placeholder="",
show=True,
advanced=True,
multiline=False,
value="{}",
)
extra_fields.extend((extra_field, extra_field2))
self.template.add_field(extra_field)
elif self.template.type_name == "Chroma":
# New bool field for persist parameter
extra_field = TemplateField(
name="persist",
field_type="bool",
required=False,
show=True,
advanced=False,
value=True,
display_name="Persist",
)
extra_fields.append(extra_field)
elif self.template.type_name == "Pinecone":
# add pinecone_api_key and pinecone_env
extra_field = TemplateField(
name="pinecone_api_key",
field_type="str",
required=False,
placeholder="",
show=True,
advanced=True,
multiline=False,
value="",
)
extra_field2 = TemplateField(
name="pinecone_env",
field_type="str",
required=False,
placeholder="",
show=True,
advanced=True,
multiline=False,
value="",
)
extra_fields.extend((extra_field, extra_field2))
elif self.template.type_name == "FAISS":
extra_field = TemplateField(
name="folder_path",
field_type="str",
required=False,
placeholder="",
show=True,
advanced=True,
multiline=False,
display_name="Local Path",
value="",
)
extra_field2 = TemplateField(
name="index_name",
field_type="str",
required=False,
show=True,
advanced=False,
value="",
display_name="Index Name",
)
extra_fields.extend((extra_field, extra_field2))
elif self.template.type_name == "SupabaseVectorStore":
self.display_name = "Supabase"
# Add table_name and query_name
extra_field = TemplateField(
name="table_name",
field_type="str",
required=False,
placeholder="",
show=True,
advanced=True,
multiline=False,
value="",
)
extra_field2 = TemplateField(
name="query_name",
field_type="str",
required=False,
placeholder="",
show=True,
advanced=True,
multiline=False,
value="",
)
# Add supabase_url and supabase_service_key
extra_field3 = TemplateField(
name="supabase_url",
field_type="str",
required=False,
placeholder="",
show=True,
advanced=True,
multiline=False,
value="",
)
extra_field4 = TemplateField(
name="supabase_service_key",
field_type="str",
required=False,
placeholder="",
show=True,
advanced=True,
multiline=False,
value="",
)
extra_fields.extend((extra_field, extra_field2, extra_field3, extra_field4))
elif self.template.type_name == "MongoDBAtlasVectorSearch":
self.display_name = "MongoDB Atlas"
extra_field = TemplateField(
name="mongodb_atlas_cluster_uri",
field_type="str",
required=False,
placeholder="",
show=True,
advanced=True,
multiline=False,
display_name="MongoDB Atlas Cluster URI",
value="",
)
extra_field2 = TemplateField(
name="collection_name",
field_type="str",
required=False,
placeholder="",
show=True,
advanced=True,
multiline=False,
display_name="Collection Name",
value="",
)
extra_field3 = TemplateField(
name="db_name",
field_type="str",
required=False,
placeholder="",
show=True,
advanced=True,
multiline=False,
display_name="Database Name",
value="",
)
extra_field4 = TemplateField(
name="index_name",
field_type="str",
required=False,
placeholder="",
show=True,
advanced=True,
multiline=False,
display_name="Index Name",
value="",
)
extra_fields.extend((extra_field, extra_field2, extra_field3, extra_field4))
if extra_fields:
for field in extra_fields:
self.template.add_field(field)
def add_extra_base_classes(self) -> None:
self.base_classes.append("BaseRetriever")
self.base_classes.extend(("BaseRetriever", "VectorStoreRetriever"))
@staticmethod
def format_field(field: TemplateField, name: Optional[str] = None) -> None:
FrontendNode.format_field(field, name)
# Define common field attributes
basic_fields = ["work_dir", "collection_name", "api_key", "location"]
basic_fields = [
"work_dir",
"collection_name",
"api_key",
"location",
"persist_directory",
"persist",
"weaviate_url",
"index_name",
"namespace",
"folder_path",
"table_name",
"query_name",
"supabase_url",
"supabase_service_key",
"mongodb_atlas_cluster_uri",
"collection_name",
"db_name",
]
advanced_fields = [
"n_dim",
"key",
@ -43,14 +240,21 @@ class VectorStoreFrontendNode(FrontendNode):
"https",
"prefer_grpc",
"grpc_port",
"pinecone_api_key",
"pinecone_env",
"client_kwargs",
"search_kwargs",
]
# Check and set field attributes
if field.name == "texts":
# if field.name is "texts" it has to be replaced
# when instantiating the vectorstores
field.name = "documents"
field.field_type = "TextSplitter"
field.display_name = "Text Splitter"
field.required = True
field.display_name = "Documents"
field.required = False
field.show = True
field.advanced = False
@ -78,5 +282,6 @@ class VectorStoreFrontendNode(FrontendNode):
field.advanced = True
if "key" in field.name:
field.password = False
# TODO: Weaviate requires weaviate_url to be passed as it is not part of
# the class or from_texts method. We need the add_extra_fields to fix this
elif field.name == "text_key":
field.show = False

View file

@ -3,6 +3,7 @@ from typing import Callable, Optional, Union
from pydantic import BaseModel
from langflow.template.field.base import TemplateField
from langflow.utils.constants import DIRECT_TYPES
class Template(BaseModel):
@ -18,8 +19,15 @@ class Template(BaseModel):
for field in self.fields:
format_field_func(field, name)
def sort_fields(self):
# first sort alphabetically
# then sort fields so that fields that have .field_type in DIRECT_TYPES are first
self.fields.sort(key=lambda x: x.name)
self.fields.sort(key=lambda x: x.field_type in DIRECT_TYPES, reverse=False)
def to_dict(self, format_field_func=None):
self.process_fields(self.type_name, format_field_func)
self.sort_fields()
result = {field.name: field.to_dict() for field in self.fields}
result["_type"] = self.type_name # type: ignore
return result

View file

@ -36,3 +36,4 @@ def python_function(text: str) -> str:
\"\"\"This is a default python function that returns the input text\"\"\"
return text
"""
DIRECT_TYPES = ["str", "bool", "code", "int", "float", "Any", "prompt"]

View file

@ -299,12 +299,15 @@ def format_dict(d, name: Optional[str] = None):
if name == "OpenAI" and key == "model_name":
value["options"] = constants.OPENAI_MODELS
value["list"] = True
value["value"] = constants.OPENAI_MODELS[0]
elif name == "ChatOpenAI" and key == "model_name":
value["options"] = constants.CHAT_OPENAI_MODELS
value["list"] = True
value["value"] = constants.CHAT_OPENAI_MODELS[0]
elif (name == "Anthropic" or name == "ChatAnthropic") and key == "model_name":
value["options"] = constants.ANTHROPIC_MODELS
value["list"] = True
value["value"] = constants.ANTHROPIC_MODELS[0]
return d

View file

@ -1212,15 +1212,15 @@
"integrity": "sha512-I7K1Uu0MBPzaFKg4nI5Q7Vs2t+3gWWW648spaF+Rg7pI9ds18Ugn+lvg4SHczUdKlHI5LWBXyqfS8+DufyBsgQ=="
},
"node_modules/@mui/system": {
"version": "5.13.5",
"resolved": "https://registry.npmjs.org/@mui/system/-/system-5.13.5.tgz",
"integrity": "sha512-n0gzUxoZ2ZHZgnExkh2Htvo9uW2oakofgPRQrDoa/GQOWyRD0NH9MDszBwOb6AAoXZb+OV5TE7I4LeZ/dzgHYA==",
"version": "5.13.6",
"resolved": "https://registry.npmjs.org/@mui/system/-/system-5.13.6.tgz",
"integrity": "sha512-G3Xr28uLqU3DyF6r2LQkHGw/ku4P0AHzlKVe7FGXOPl7X1u+hoe2xxj8Vdiq/69II/mh9OP21i38yBWgWb7WgQ==",
"dependencies": {
"@babel/runtime": "^7.21.0",
"@babel/runtime": "^7.22.5",
"@mui/private-theming": "^5.13.1",
"@mui/styled-engine": "^5.13.2",
"@mui/types": "^7.2.4",
"@mui/utils": "^5.13.1",
"@mui/utils": "^5.13.6",
"clsx": "^1.2.1",
"csstype": "^3.1.2",
"prop-types": "^15.8.1"
@ -1280,11 +1280,11 @@
}
},
"node_modules/@mui/utils": {
"version": "5.13.1",
"resolved": "https://registry.npmjs.org/@mui/utils/-/utils-5.13.1.tgz",
"integrity": "sha512-6lXdWwmlUbEU2jUI8blw38Kt+3ly7xkmV9ljzY4Q20WhsJMWiNry9CX8M+TaP/HbtuyR8XKsdMgQW7h7MM3n3A==",
"version": "5.13.6",
"resolved": "https://registry.npmjs.org/@mui/utils/-/utils-5.13.6.tgz",
"integrity": "sha512-ggNlxl5NPSbp+kNcQLmSig6WVB0Id+4gOxhx644987v4fsji+CSXc+MFYLocFB/x4oHtzCUlSzbVHlJfP/fXoQ==",
"dependencies": {
"@babel/runtime": "^7.21.0",
"@babel/runtime": "^7.22.5",
"@types/prop-types": "^15.7.5",
"@types/react-is": "^18.2.0",
"prop-types": "^15.8.1",
@ -3714,9 +3714,9 @@
}
},
"node_modules/aria-query": {
"version": "5.2.1",
"resolved": "https://registry.npmjs.org/aria-query/-/aria-query-5.2.1.tgz",
"integrity": "sha512-7uFg4b+lETFgdaJyETnILsXgnnzVnkHcgRbwbPwevm5x/LmUlt3MjczMRe1zg824iBgXZNRPTBftNYyRSKLp2g==",
"version": "5.3.0",
"resolved": "https://registry.npmjs.org/aria-query/-/aria-query-5.3.0.tgz",
"integrity": "sha512-b0P0sZPKtyu8HkeRAfCq0IfURZK+SuwMjY1UXGBU27wpAiTwQAIlq56IbIO+ytk/JjS1fMR14ee5WBBfKi5J6A==",
"dev": true,
"dependencies": {
"dequal": "^2.0.3"
@ -5010,9 +5010,9 @@
}
},
"node_modules/electron-to-chromium": {
"version": "1.4.438",
"resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.4.438.tgz",
"integrity": "sha512-x94U0FhphEsHsOloCvlsujHCvoir0ZQ73ZAs/QN4PLx98uNvyEU79F75rq1db75Bx/atvuh7KPeuxelh+xfYJw=="
"version": "1.4.440",
"resolved": "https://registry.npmjs.org/electron-to-chromium/-/electron-to-chromium-1.4.440.tgz",
"integrity": "sha512-r6dCgNpRhPwiWlxbHzZQ/d9swfPaEJGi8ekqRBwQYaR3WmA5VkqQfBWSDDjuJU1ntO+W9tHx8OHV/96Q8e0dVw=="
},
"node_modules/emoji-regex": {
"version": "8.0.0",
@ -6746,9 +6746,9 @@
}
},
"node_modules/katex": {
"version": "0.16.7",
"resolved": "https://registry.npmjs.org/katex/-/katex-0.16.7.tgz",
"integrity": "sha512-Xk9C6oGKRwJTfqfIbtr0Kes9OSv6IFsuhFGc7tW4urlpMJtuh+7YhzU6YEG9n8gmWKcMAFzkp7nr+r69kV0zrA==",
"version": "0.16.8",
"resolved": "https://registry.npmjs.org/katex/-/katex-0.16.8.tgz",
"integrity": "sha512-ftuDnJbcbOckGY11OO+zg3OofESlbR5DRl2cmN8HeWeeFIV7wTXvAOx8kEjZjobhA+9wh2fbKeO6cdcA9Mnovg==",
"funding": [
"https://opencollective.com/katex",
"https://github.com/sponsors/katex"

View file

@ -4,6 +4,7 @@ import {
getRandomKeyByssmm,
groupByFamily,
isValidConnection,
nodeIconsLucide,
} from "../../../../utils";
import { useContext, useEffect, useRef, useState } from "react";
import InputComponent from "../../../../components/inputComponent";
@ -18,12 +19,13 @@ import InputFileComponent from "../../../../components/inputFileComponent";
import { TabsContext } from "../../../../contexts/tabsContext";
import IntComponent from "../../../../components/intComponent";
import PromptAreaComponent from "../../../../components/promptComponent";
import { nodeNames, nodeIcons } from "../../../../utils";
import { nodeNames } 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";
import { Info } from "lucide-react";
export default function ParameterComponent({
left,
@ -35,13 +37,15 @@ export default function ParameterComponent({
type,
name = "",
required = false,
info = "",
}: ParameterComponentType) {
const ref = useRef(null);
const refHtml = useRef(null);
const infoHtml = useRef(null);
const updateNodeInternals = useUpdateNodeInternals();
const [position, setPosition] = useState(0);
const { closePopUp } = useContext(PopUpContext);
const { setTabsState, tabId } = useContext(TabsContext);
const { setTabsState, tabId, save } = useContext(TabsContext);
useEffect(() => {
if (ref.current && ref.current.offsetTop && ref.current.clientHeight) {
@ -78,9 +82,21 @@ export default function ParameterComponent({
});
};
useEffect(() => {
infoHtml.current = (
<div className="h-full w-full break-words">
{info.split("\n").map((line, i) => (
<p key={i} className="block">
{line}
</p>
))}
</div>
);
}, [info]);
useEffect(() => {
const groupedObj = groupByFamily(myData, tooltipTitle);
refHtml.current = groupedObj.map((item, i) => (
<span
key={getRandomKeyByssmm()}
@ -89,12 +105,12 @@ export default function ParameterComponent({
)}
>
<div
className="h-5 w-5"
className="h-6 w-6"
style={{
color: nodeColors[item.family],
}}
>
{React.createElement(nodeIcons[item.family])}
{React.createElement(nodeIconsLucide[item.family])}
</div>
<span className="ps-2 text-gray-950">
{nodeNames[item.family] ?? ""}{" "}
@ -105,7 +121,9 @@ export default function ParameterComponent({
? item.type.split(", ").map((el, i) => (
<React.Fragment key={el + i}>
<span>
{i === item.type.split(", ").length - 1 ? el : (el += `, `)}
{i === item.type.split(", ").length - 1
? el
: (el += `, `)}
</span>
{i % 2 === 0 && i > 0 && <br />}
</React.Fragment>
@ -115,7 +133,6 @@ export default function ParameterComponent({
</span>
</span>
));
}, [tooltipTitle]);
return (
@ -124,9 +141,22 @@ export default function ParameterComponent({
className="w-full flex flex-wrap justify-between items-center bg-muted dark:bg-gray-800 dark:text-white mt-1 px-5 py-2"
>
<>
<div className={"text-sm truncate w-full " + (left ? "" : "text-end")}>
<div
className={
"text-sm truncate w-full" +
(left ? "" : " text-end") +
(info !== "" ? " flex items-center" : "")
}
>
{title}
<span className="text-red-600">{required ? " *" : ""}</span>
<div className="">
{info !== "" && (
<ShadTooltip content={infoHtml.current}>
<Info className="ml-2 relative bottom-0.5 w-3 h-3" />
</ShadTooltip>
)}
</div>
</div>
{left &&
(type === "str" ||
@ -239,7 +269,8 @@ export default function ParameterComponent({
fileTypes={data.node.template[name].fileTypes}
suffixes={data.node.template[name].suffixes}
onFileChange={(t: string) => {
data.node.template[name].content = t;
data.node.template[name].file_path = t;
save();
}}
></InputFileComponent>
) : left === true && type === "int" ? (

View file

@ -1,4 +1,9 @@
import { classNames, nodeColors, nodeIcons, toTitleCase } from "../../utils";
import {
classNames,
nodeColors,
nodeIconsLucide,
toTitleCase,
} from "../../utils";
import ParameterComponent from "./components/parameterComponent";
import { typesContext } from "../../contexts/typesContext";
import { useContext, useState, useEffect, useRef } from "react";
@ -9,7 +14,6 @@ import NodeModal from "../../modals/NodeModal";
import Tooltip from "../../components/TooltipComponent";
import { NodeToolbar } from "reactflow";
import NodeToolbarComponent from "../../pages/FlowPage/components/nodeToolbarComponent";
import ShadTooltip from "../../components/ShadTooltipComponent";
import { useSSE } from "../../contexts/SSEContext";
@ -25,11 +29,13 @@ export default function GenericNode({
const { types, deleteNode } = useContext(typesContext);
const { closePopUp, openPopUp } = useContext(PopUpContext);
const Icon = nodeIcons[data.type] || nodeIcons[types[data.type]];
// any to avoid type conflict
const Icon: any =
nodeIconsLucide[data.type] || nodeIconsLucide[types[data.type]];
const [validationStatus, setValidationStatus] = useState(null);
// State for outline color
const { sseData, isBuilding } = useSSE();
const refHtml = useRef(null);
// useEffect(() => {
// if (reactFlowInstance) {
@ -87,9 +93,11 @@ export default function GenericNode({
color: nodeColors[types[data.type]] ?? nodeColors.unknown,
}}
/>
<div className="ml-2 truncate">
<ShadTooltip delayDuration={1500} content={data.type}>
<div className="ml-2 truncate text-gray-800">{data.type}</div>
<div className="ml-2 truncate flex">
<ShadTooltip content={data.node.display_name}>
<div className="ml-2 truncate text-gray-800">
{data.node.display_name}
</div>
</ShadTooltip>
</div>
</div>
@ -193,6 +201,7 @@ export default function GenericNode({
? toTitleCase(data.node.template[t].name)
: toTitleCase(t)
}
info={data.node.template[t].info}
name={t}
tooltipTitle={data.node.template[t].type}
required={data.node.template[t].required}

View file

@ -1,13 +1,8 @@
import {
XCircleIcon,
XMarkIcon,
InformationCircleIcon,
CheckCircleIcon,
} from "@heroicons/react/24/outline";
import { Link } from "react-router-dom";
import { Transition } from "@headlessui/react";
import { useState } from "react";
import { SingleAlertComponentType } from "../../../../types/alerts";
import { X, CheckCircle2, Info, XCircle } from "lucide-react";
export default function SingleAlert({
dropItem,
@ -34,7 +29,7 @@ export default function SingleAlert({
key={dropItem.id}
>
<div className="flex-shrink-0">
<XCircleIcon
<XCircle
className="h-5 w-5 text-red-400 dark:text-red-50"
aria-hidden="true"
/>
@ -70,7 +65,7 @@ export default function SingleAlert({
className="inline-flex rounded-md bg-red-50 dark:bg-transparent p-1.5 text-red-500 dark:text-red-50"
>
<span className="sr-only">Dismiss</span>
<XMarkIcon className="h-5 w-5" aria-hidden="true" />
<X className="h-5 w-5" aria-hidden="true" />
</button>
</div>
</div>
@ -81,7 +76,7 @@ export default function SingleAlert({
key={dropItem.id}
>
<div className="flex-shrink-0">
<InformationCircleIcon
<Info
className="h-5 w-5 text-blue-400 dark:text-blue-50"
aria-hidden="true"
/>
@ -116,7 +111,7 @@ export default function SingleAlert({
className="inline-flex rounded-md bg-blue-50 dark:bg-transparent p-1.5 text-blue-500 dark:text-blue-50"
>
<span className="sr-only">Dismiss</span>
<XMarkIcon className="h-5 w-5" aria-hidden="true" />
<X className="h-5 w-5" aria-hidden="true" />
</button>
</div>
</div>
@ -127,7 +122,7 @@ export default function SingleAlert({
key={dropItem.id}
>
<div className="flex-shrink-0">
<CheckCircleIcon
<CheckCircle2
className="h-5 w-5 text-green-400 dark:text-green-50"
aria-hidden="true"
/>
@ -150,7 +145,7 @@ export default function SingleAlert({
className="inline-flex rounded-md bg-green-50 dark:bg-transparent p-1.5 text-green-500 dark:text-green-50"
>
<span className="sr-only">Dismiss</span>
<XMarkIcon className="h-5 w-5" aria-hidden="true" />
<X className="h-5 w-5" aria-hidden="true" />
</button>
</div>
</div>

View file

@ -1,11 +1,11 @@
import { useContext, useEffect, useRef } from "react";
import { alertContext } from "../../contexts/alertContext";
import { XMarkIcon } from "@heroicons/react/24/solid";
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";
import { X, Trash2 } from "lucide-react";
export default function AlertDropdown({}: AlertDropdownType) {
const { closePopUp } = useContext(PopUpContext);
const componentRef = useRef<HTMLDivElement>(null);
@ -36,13 +36,13 @@ export default function AlertDropdown({}: AlertDropdownType) {
setTimeout(clearNotificationList, 100);
}}
>
<TrashIcon className="w-[1.1rem] h-[1.1rem]" />
<Trash2 className="w-[1.1rem] h-[1.1rem]" />
</button>
<button
className="text-gray-800 hover:text-red-500 dark:text-gray-200 dark:hover:text-red-500"
onClick={closePopUp}
>
<XMarkIcon className="h-5 w-5" />
<X className="h-5 w-5" />
</button>
</div>
</div>

View file

@ -1,7 +1,7 @@
import { Transition } from "@headlessui/react";
import { XCircleIcon, XMarkIcon } from "@heroicons/react/24/outline";
import { useEffect, useState } from "react";
import { ErrorAlertType } from "../../types/alerts";
import { XCircle } from "lucide-react";
export default function ErrorAlert({
title,
@ -43,7 +43,7 @@ export default function ErrorAlert({
>
<div className="flex">
<div className="flex-shrink-0">
<XCircleIcon
<XCircle
className="h-5 w-5 text-red-400 dark:text-red-50"
aria-hidden="true"
/>

View file

@ -1,8 +1,8 @@
import { Transition } from "@headlessui/react";
import { InformationCircleIcon, XMarkIcon } from "@heroicons/react/24/outline";
import { useEffect, useState } from "react";
import { Link } from "react-router-dom";
import { NoticeAlertType } from "../../types/alerts";
import { Info } from "lucide-react";
export default function NoticeAlert({
title,
@ -40,7 +40,7 @@ export default function NoticeAlert({
>
<div className="flex">
<div className="flex-shrink-0">
<InformationCircleIcon
<Info
className="h-5 w-5 text-blue-400 dark:text-blue-50"
aria-hidden="true"
/>

View file

@ -1,7 +1,7 @@
import { Transition } from "@headlessui/react";
import { CheckCircleIcon, XMarkIcon } from "@heroicons/react/24/outline";
import { useEffect, useState } from "react";
import { SuccessAlertType } from "../../types/alerts";
import { CheckCircle2 } from "lucide-react";
export default function SuccessAlert({
title,
@ -38,7 +38,7 @@ export default function SuccessAlert({
>
<div className="flex">
<div className="flex-shrink-0">
<CheckCircleIcon
<CheckCircle2
className="h-5 w-5 text-green-400 dark:text-green-50"
aria-hidden="true"
/>

View file

@ -1,5 +1,4 @@
import { Disclosure } from "@headlessui/react";
import { ChevronLeftIcon } from "@heroicons/react/24/outline";
import { useContext, useState } from "react";
import { Link } from "react-router-dom";
import { classNames } from "../../utils";

View file

@ -0,0 +1,6 @@
import { useContext, useEffect, useRef, useState } from "react";
import { RadialProgressType } from "../../types/components";
export default function LoadingSpinner({}) {
return <></>;
}

View file

@ -1,3 +1,4 @@
import { ShadTooltipProps } from "../../types/components";
import {
Tooltip,
TooltipContent,
@ -5,18 +6,19 @@ import {
TooltipTrigger,
} from "../ui/tooltip";
const ShadTooltip = (props) => {
const ShadTooltip = ({
delayDuration = 500,
side,
content,
children,
}: ShadTooltipProps) => {
return (
<TooltipProvider>
<Tooltip delayDuration={props.delayDuration}>
<TooltipTrigger asChild>{props.children}</TooltipTrigger>
<Tooltip delayDuration={delayDuration}>
<TooltipTrigger asChild>{children}</TooltipTrigger>
<TooltipContent
side={props.side}
avoidCollisions={false}
sticky="always"
>
{props.content}
<TooltipContent side={side} avoidCollisions={false} sticky="always">
{content}
</TooltipContent>
</Tooltip>
</TooltipProvider>

View file

@ -1,13 +1,9 @@
import {
ChatBubbleLeftEllipsisIcon,
ChatBubbleOvalLeftEllipsisIcon,
PlusSmallIcon,
} from "@heroicons/react/24/outline";
import { useState } from "react";
import { ChatMessageType } from "../../../types/chat";
import { nodeColors } from "../../../utils";
import Convert from "ansi-to-html";
const convert = new Convert({ newline: true });
import { MessageCircle } from "lucide-react";
export default function ChatMessage({ chat }: { chat: ChatMessageType }) {
const [hidden, setHidden] = useState(true);
@ -24,7 +20,7 @@ export default function ChatMessage({ chat }: { chat: ChatMessageType }) {
onClick={() => setHidden((prev) => !prev)}
className="absolute top-2 right-2 cursor-pointer"
>
<ChatBubbleOvalLeftEllipsisIcon className="w-5 h-5 animate-bounce" />
<MessageCircle className="w-5 h-5 animate-bounce" />
</div>
)}
{chat.thought && chat.thought !== "" && !hidden && (

View file

@ -1,10 +1,10 @@
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";
import { INPUT_STYLE } from "../../constants";
import { ExternalLink } from "lucide-react";
export default function CodeAreaComponent({
value,
@ -69,7 +69,7 @@ export default function CodeAreaComponent({
}}
>
{!editNode && (
<ArrowTopRightOnSquareIcon className="w-6 h-6 hover:text-ring dark:text-gray-300 ml-3" />
<ExternalLink className="w-6 h-6 hover:text-ring dark:text-gray-300 ml-3" />
)}
</button>
</div>

View file

@ -1,9 +1,11 @@
import { Listbox, Transition } from "@headlessui/react";
import { ChevronUpDownIcon, CheckIcon } from "@heroicons/react/24/outline";
import { Fragment, useState } from "react";
import { Fragment, useContext, useEffect, useState } from "react";
import { DropDownComponentType } from "../../types/components";
import { classNames } from "../../utils";
import { INPUT_STYLE } from "../../constants";
import { ChevronsUpDown, Check } from "lucide-react";
import { PopUpContext } from "../../contexts/popUpContext";
import { TabsContext } from "../../contexts/tabsContext";
export default function Dropdown({
value,
@ -12,10 +14,16 @@ export default function Dropdown({
editNode = false,
numberOfOptions = 0,
}: DropDownComponentType) {
const { closePopUp } = useContext(PopUpContext);
let [internalValue, setInternalValue] = useState(
value === "" || !value ? "Choose an option" : value
);
useEffect(() => {
setInternalValue(value === "" || !value ? "Choose an option" : value);
}, [closePopUp]);
return (
<>
<Listbox
@ -43,7 +51,7 @@ export default function Dropdown({
"pointer-events-none absolute inset-y-0 right-0 flex items-center pr-2"
}
>
<ChevronUpDownIcon
<ChevronsUpDown
className="h-5 w-5 text-gray-400"
aria-hidden="true"
/>
@ -97,7 +105,7 @@ export default function Dropdown({
"absolute inset-y-0 right-0 flex items-center pr-4"
)}
>
<CheckIcon
<Check
className={
active
? "h-5 w-5 dark:text-black text-black"

View file

@ -2,6 +2,7 @@ import { useContext, useEffect, useState } from "react";
import { FloatComponentType } from "../../types/components";
import { TabsContext } from "../../contexts/tabsContext";
import { INPUT_STYLE } from "../../constants";
import { PopUpContext } from "../../contexts/popUpContext";
export default function FloatComponent({
value,
@ -12,6 +13,7 @@ export default function FloatComponent({
}: FloatComponentType) {
const [myValue, setMyValue] = useState(value ?? "");
const { setDisableCopyPaste } = useContext(TabsContext);
const { closePopUp } = useContext(PopUpContext);
const step = 0.1;
const min = 0;
@ -26,7 +28,7 @@ export default function FloatComponent({
useEffect(() => {
setMyValue(value);
}, [value]);
}, [closePopUp]);
return (
<div

View file

@ -69,6 +69,7 @@ export const MenuBar = ({ flows, tabId }) => {
onClick={() => {
handleAddFlow();
}}
className="cursor-pointer"
>
<Plus className="w-4 h-4 mr-2" />
New
@ -77,6 +78,7 @@ export const MenuBar = ({ flows, tabId }) => {
onClick={() => {
openPopUp(<FlowSettingsModal />);
}}
className="cursor-pointer"
>
<Settings2 className="w-4 h-4 mr-2 dark:text-gray-300" />
Settings
@ -85,6 +87,7 @@ export const MenuBar = ({ flows, tabId }) => {
onClick={() => {
undo();
}}
className="cursor-pointer"
>
<Undo className="w-4 h-4 mr-2 dark:text-gray-300" />
Undo
@ -93,6 +96,7 @@ export const MenuBar = ({ flows, tabId }) => {
onClick={() => {
redo();
}}
className="cursor-pointer"
>
<Redo className="w-4 h-4 mr-2 dark:text-gray-300" />
Redo

View file

@ -13,6 +13,7 @@ import { Link, useLocation, useParams } from "react-router-dom";
import { USER_PROJECTS_HEADER } from "../../constants";
import { getRepoStars } from "../../controllers/API";
import { Separator } from "../ui/separator";
import { Bell } from "lucide-react";
export default function Header() {
const { flows, addFlow, tabId } = useContext(TabsContext);
@ -134,7 +135,7 @@ export default function Header() {
{notificationCenter && (
<div className="absolute w-1.5 h-1.5 rounded-full bg-destructive right-[3px]"></div>
)}
<BellIcon className="h-5 w-5" aria-hidden="true" />
<Bell className="h-5 w-5" aria-hidden="true" />
</button>
</div>
</div>

View file

@ -1,8 +1,10 @@
import { DocumentMagnifyingGlassIcon } from "@heroicons/react/24/outline";
import { useContext, useEffect, useState } from "react";
import { alertContext } from "../../contexts/alertContext";
import { FileComponentType } from "../../types/components";
import { TabsContext } from "../../contexts/tabsContext";
import { INPUT_STYLE } from "../../constants";
import { FileSearch2 } from "lucide-react";
import { uploadFile } from "../../controllers/API";
export default function InputFileComponent({
value,
@ -14,7 +16,9 @@ export default function InputFileComponent({
editNode = false,
}: FileComponentType) {
const [myValue, setMyValue] = useState(value);
const [loading, setLoading] = useState(false);
const { setErrorData } = useContext(alertContext);
const { tabId } = useContext(TabsContext);
useEffect(() => {
if (disabled) {
setMyValue("");
@ -23,12 +27,6 @@ export default function InputFileComponent({
}
}, [disabled, onChange]);
function attachFile(fileReadEvent: ProgressEvent<FileReader>) {
fileReadEvent.preventDefault();
const file = fileReadEvent.target.result;
onFileChange(file as string);
}
function checkFileType(fileName: string): boolean {
for (let index = 0; index < suffixes.length; index++) {
if (fileName.endsWith(suffixes[index])) {
@ -43,27 +41,54 @@ export default function InputFileComponent({
}, [value]);
const handleButtonClick = () => {
// Create a file input element
const input = document.createElement("input");
input.type = "file";
input.accept = suffixes.join(",");
input.style.display = "none";
input.multiple = false;
input.style.display = "none"; // Hidden from view
input.multiple = false; // Allow only one file selection
input.onchange = (e: Event) => {
setLoading(true);
// Get the selected file
const file = (e.target as HTMLInputElement).files?.[0];
const fileData = new FileReader();
fileData.onload = attachFile;
// Check if the file type is correct
if (file && checkFileType(file.name)) {
fileData.readAsDataURL(file);
setMyValue(file.name);
onChange(file.name);
// Upload the file
uploadFile(file, tabId)
.then((res) => res.data)
.then((data) => {
console.log("File uploaded successfully");
// Get the file name from the response
const { file_path } = data;
console.log("File name:", file_path);
// Update the state and callback with the name of the file
// sets the value to the user
setMyValue(file.name);
onChange(file.name);
// sets the value that goes to the backend
onFileChange(file_path);
setLoading(false);
})
.catch(() => {
console.error("Error occurred while uploading file");
setLoading(false);
});
} else {
// Show an error if the file type is not allowed
setErrorData({
title:
"Please select a valid file. Only files this files are allowed:",
"Please select a valid file. Only these file types are allowed:",
list: fileTypes,
});
setLoading(false);
}
};
// Trigger the file selection dialog
input.click();
};
@ -73,7 +98,7 @@ export default function InputFileComponent({
disabled ? "pointer-events-none cursor-not-allowed w-full" : "w-full"
}
>
<div className="w-full flex items-center gap-3">
<div className="w-full flex items-center gap-2">
<span
onClick={handleButtonClick}
className={
@ -88,8 +113,11 @@ export default function InputFileComponent({
{myValue !== "" ? myValue : "No file"}
</span>
<button onClick={handleButtonClick}>
{!editNode && (
<DocumentMagnifyingGlassIcon className="w-8 h-8 hover:text-ring" />
{!editNode && !loading && (
<FileSearch2 className="w-6 h-6 hover:text-ring" />
)}
{!editNode && loading && (
<span className="loading loading-spinner loading-sm pl-3 h-8 pointer-events-none"></span>
)}
</button>
</div>

View file

@ -1,10 +1,12 @@
import { PlusIcon, XMarkIcon } from "@heroicons/react/24/outline";
import { useContext, useEffect, useState } from "react";
import { InputListComponentType } from "../../types/components";
import { TabsContext } from "../../contexts/tabsContext";
import _ from "lodash";
import { INPUT_STYLE } from "../../constants";
import { X, Plus } from "lucide-react";
import { PopUpContext } from "../../contexts/popUpContext";
export default function InputListComponent({
value,
onChange,
@ -12,12 +14,19 @@ export default function InputListComponent({
editNode = false,
}: InputListComponentType) {
const [inputList, setInputList] = useState(value ?? [""]);
const { closePopUp } = useContext(PopUpContext);
useEffect(() => {
if (disabled) {
setInputList([""]);
onChange([""]);
}
}, [disabled, onChange]);
useEffect(() => {
setInputList(value);
}, [closePopUp]);
return (
<div
className={
@ -43,9 +52,9 @@ export default function InputListComponent({
setInputList((old) => {
let newInputList = _.cloneDeep(old);
newInputList[idx] = e.target.value;
onChange(newInputList);
return newInputList;
});
onChange(inputList);
}}
/>
{idx === inputList.length - 1 ? (
@ -59,7 +68,7 @@ export default function InputListComponent({
onChange(inputList);
}}
>
<PlusIcon className={"w-4 h-4 hover:text-ring"} />
<Plus className={"w-4 h-4 hover:text-ring"} />
</button>
) : (
<button
@ -72,7 +81,7 @@ export default function InputListComponent({
onChange(inputList);
}}
>
<XMarkIcon className="w-4 h-4 hover:text-red-600" />
<X className="w-4 h-4 hover:text-red-600" />
</button>
)}
</div>

View file

@ -3,6 +3,7 @@ import { FloatComponentType } from "../../types/components";
import { TabsContext } from "../../contexts/tabsContext";
import { classNames } from "../../utils";
import { INPUT_STYLE } from "../../constants";
import { PopUpContext } from "../../contexts/popUpContext";
export default function IntComponent({
value,
@ -14,6 +15,7 @@ export default function IntComponent({
const [myValue, setMyValue] = useState(value ?? "");
const { setDisableCopyPaste } = useContext(TabsContext);
const min = 0;
const { closePopUp } = useContext(PopUpContext);
useEffect(() => {
if (disabled) {
@ -24,7 +26,7 @@ export default function IntComponent({
useEffect(() => {
setMyValue(value);
}, [value]);
}, [closePopUp]);
return (
<div

View file

@ -1,10 +1,10 @@
import { ArrowTopRightOnSquareIcon } from "@heroicons/react/24/outline";
import { useContext, useEffect, useState } from "react";
import { PopUpContext } from "../../contexts/popUpContext";
import { TextAreaComponentType } from "../../types/components";
import GenericModal from "../../modals/genericModal";
import { TypeModal } from "../../utils";
import { INPUT_STYLE } from "../../constants";
import { ExternalLink } from "lucide-react";
export default function PromptAreaComponent({
value,
@ -74,7 +74,7 @@ export default function PromptAreaComponent({
}}
>
{!editNode && (
<ArrowTopRightOnSquareIcon className="w-6 h-6 hover:text-ring dark:text-gray-300" />
<ExternalLink className="w-6 h-6 hover:text-ring dark:text-gray-300" />
)}
</button>
</div>

View file

@ -1,10 +1,11 @@
import { ArrowTopRightOnSquareIcon } from "@heroicons/react/24/outline";
import { useContext, useEffect, useState } from "react";
import { PopUpContext } from "../../contexts/popUpContext";
import { TextAreaComponentType } from "../../types/components";
import GenericModal from "../../modals/genericModal";
import { TypeModal } from "../../utils";
import { INPUT_STYLE } from "../../constants";
import { ExternalLink } from "lucide-react";
export default function TextAreaComponent({
value,
onChange,
@ -76,7 +77,7 @@ export default function TextAreaComponent({
}}
>
{!editNode && (
<ArrowTopRightOnSquareIcon className="w-6 h-6 hover:text-ring dark:text-gray-300" />
<ExternalLink className="w-6 h-6 hover:text-ring dark:text-gray-300" />
)}
</button>
</div>

View file

@ -66,7 +66,7 @@ export const getPythonApiCode = (flow: FlowType): string => {
BASE_API_URL = "${window.location.protocol}//${
window.location.host
}/api/v1/predict"
}/api/v1/process"
FLOW_ID = "${flowId}"
# You can tweak the flow by adding a tweaks dictionary
# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
@ -83,7 +83,7 @@ def run_flow(message: str, flow_id: str, tweaks: dict = None) -> dict:
"""
api_url = f"{BASE_API_URL}/{flow_id}"
payload = {"message": message}
payload = {"inputs": {"input": message}}
if tweaks:
payload["tweaks"] = tweaks
@ -106,9 +106,9 @@ export const getCurlCode = (flow: FlowType): string => {
return `curl -X POST \\
${window.location.protocol}//${
window.location.host
}/api/v1/predict/${flowId} \\
}/api/v1/process/${flowId} \\
-H 'Content-Type: application/json' \\
-d '{"message": "Your message", "tweaks": ${JSON.stringify(
-d '{"inputs": {"input": message}, "tweaks": ${JSON.stringify(
tweaks,
null,
2

View file

@ -16,7 +16,7 @@ import {
} from "../utils";
import { alertContext } from "./alertContext";
import { typesContext } from "./typesContext";
import { APITemplateType } from "../types/api";
import { APIClassType, APITemplateType } from "../types/api";
import ShortUniqueId from "short-unique-id";
import { addEdge } from "reactflow";
import {
@ -192,33 +192,49 @@ export function TabsProvider({ children }: { children: ReactNode }) {
}
function processFlowEdges(flow) {
if (!flow.data || !flow.data.edges) return;
flow.data.edges.forEach((edge) => {
edge.className = "";
edge.style = { stroke: "#555555" };
});
}
function updateDisplay_name(node: NodeType, template: APIClassType) {
node.data.node.display_name = template["display_name"] || node.data.type;
}
function updateNodeDocumentation(node: NodeType, template: APIClassType) {
node.data.node.documentation = template["documentation"];
}
function processFlowNodes(flow) {
flow.data.nodes.forEach((node) => {
if (!flow.data || !flow.data.nodes) return;
flow.data.nodes.forEach((node: NodeType) => {
const template = templates[node.data.type];
if (!template) {
setErrorData({ title: `Unknown node type: ${node.data.type}` });
return;
}
if (Object.keys(template["template"]).length > 0) {
updateDisplay_name(node, template);
updateNodeBaseClasses(node, template);
updateNodeEdges(flow, node, template);
updateNodeDescription(node, template);
updateNodeTemplate(node, template);
updateNodeDocumentation(node, template);
}
});
}
function updateNodeBaseClasses(node, template) {
function updateNodeBaseClasses(node: NodeType, template: APIClassType) {
node.data.node.base_classes = template["base_classes"];
}
function updateNodeEdges(flow, node, template) {
function updateNodeEdges(
flow: FlowType,
node: NodeType,
template: APIClassType
) {
flow.data.edges.forEach((edge) => {
if (edge.source === node.id) {
edge.sourceHandle = edge.sourceHandle
@ -230,11 +246,11 @@ export function TabsProvider({ children }: { children: ReactNode }) {
});
}
function updateNodeDescription(node, template) {
function updateNodeDescription(node: NodeType, template: APIClassType) {
node.data.node.description = template["description"];
}
function updateNodeTemplate(node, template) {
function updateNodeTemplate(node: NodeType, template: APIClassType) {
node.data.node.template = updateTemplate(
template["template"] as unknown as APITemplateType,
node.data.node.template as APITemplateType
@ -398,7 +414,7 @@ export function TabsProvider({ children }: { children: ReactNode }) {
y: insidePosition.y + n.position.y - minimumY,
},
data: {
...n.data,
..._.cloneDeep(n.data),
id: newId,
},
};
@ -463,6 +479,8 @@ export function TabsProvider({ children }: { children: ReactNode }) {
// Create a new flow with a default name if no flow is provided.
const newFlow = createNewFlow(flowData, flow);
processFlowEdges(newFlow);
processFlowNodes(newFlow);
try {
const { id } = await saveFlowToDatabase(newFlow);

View file

@ -3,6 +3,7 @@ import {
PromptTypeAPI,
errorsTypeAPI,
InitTypeAPI,
UploadFileTypeAPI,
} from "./../../types/api/index";
import { APIObjectType, sendAllProps } from "../../types/api/index";
import axios, { AxiosResponse } from "axios";
@ -48,13 +49,6 @@ export async function postValidateCode(
return await axios.post("/api/v1/validate/code", { code });
}
export async function postValidateNode(
nodeId: string,
data: any
): Promise<AxiosResponse<string>> {
return await axios.post(`/api/v1/validate/node/${nodeId}`, { data });
}
/**
* Checks the prompt for the code block by sending it to an API endpoint.
*
@ -319,3 +313,21 @@ export async function postBuildInit(
): Promise<AxiosResponse<InitTypeAPI>> {
return await axios.post(`/api/v1/build/init`, flow);
}
// fetch(`/upload/${id}`, {
// method: "POST",
// body: formData,
// });
/**
* Uploads a file to the server.
* @param {File} file - The file to upload.
* @param {string} id - The ID of the flow to upload the file to.
*/
export async function uploadFile(
file: File,
id: string
): Promise<AxiosResponse<UploadFileTypeAPI>> {
const formData = new FormData();
formData.append("file", file);
return await axios.post(`/api/v1/upload/${id}`, formData);
}

View file

@ -1,9 +1,9 @@
import React, { forwardRef } from "react";
import { ReactComponent as MidjorneySVG } from "./Midjourney_Emblem.svg";
import { ReactComponent as MidjourneySVG } from "./Midjourney_Emblem.svg";
export const MidjorneyIcon = forwardRef<
export const MidjourneyIcon = forwardRef<
SVGSVGElement,
React.PropsWithChildren<{}>
>((props, ref) => {
return <MidjorneySVG ref={ref} {...props} />;
return <MidjourneySVG ref={ref} {...props} />;
});

View file

@ -0,0 +1,9 @@
import React, { forwardRef } from "react";
import { ReactComponent as MongoDBSVG } from "./mongodb-icon.svg";
export const MongoDBIcon = forwardRef<
SVGSVGElement,
React.PropsWithChildren<{}>
>((props, ref) => {
return <MongoDBSVG ref={ref} {...props} />;
});

View file

@ -0,0 +1 @@
<svg xmlns="http://www.w3.org/2000/svg" width="64" height="64" viewBox="0 0 32 32"><path d="M15.9.087l.854 1.604c.192.296.4.558.645.802.715.715 1.394 1.464 2.004 2.266 1.447 1.9 2.423 4.01 3.12 6.292.418 1.394.645 2.824.662 4.27.07 4.323-1.412 8.035-4.4 11.12-.488.488-1.01.94-1.57 1.342-.296 0-.436-.227-.558-.436-.227-.383-.366-.82-.436-1.255-.105-.523-.174-1.046-.14-1.586v-.244C16.057 24.21 15.796.21 15.9.087z" fill="#599636"/><path d="M15.9.034c-.035-.07-.07-.017-.105.017.017.35-.105.662-.296.96-.21.296-.488.523-.767.767-1.55 1.342-2.77 2.963-3.747 4.776-1.3 2.44-1.97 5.055-2.16 7.808-.087.993.314 4.497.627 5.508.854 2.684 2.388 4.933 4.375 6.885.488.47 1.01.906 1.55 1.325.157 0 .174-.14.21-.244a4.78 4.78 0 0 0 .157-.68l.35-2.614L15.9.034z" fill="#6cac48"/><path d="M16.754 28.845c.035-.4.227-.732.436-1.063-.21-.087-.366-.26-.488-.453-.105-.174-.192-.383-.26-.575-.244-.732-.296-1.5-.366-2.248v-.453c-.087.07-.105.662-.105.75a17.37 17.37 0 0 1-.314 2.353c-.052.314-.087.627-.28.906 0 .035 0 .07.017.122.314.924.4 1.865.453 2.824v.35c0 .418-.017.33.33.47.14.052.296.07.436.174.105 0 .122-.087.122-.157l-.052-.575v-1.604c-.017-.28.035-.558.07-.82z" fill="#c2bfbf"/></svg>

After

Width:  |  Height:  |  Size: 1.2 KiB

View file

@ -0,0 +1,9 @@
import React, { forwardRef } from "react";
import { ReactComponent as PineconeSVG } from "./pinecone_logo.svg";
export const PineconeIcon = forwardRef<
SVGSVGElement,
React.PropsWithChildren<{}>
>((props, ref) => {
return <PineconeSVG ref={ref} {...props} />;
});

View file

@ -0,0 +1,21 @@
<svg width="32" height="35" viewBox="0 0 32 35" fill="none" xmlns="http://www.w3.org/2000/svg">
<path d="M13.8555 34.2962C14.9325 34.2962 15.8055 33.4451 15.8055 32.3954C15.8055 31.3456 14.9325 30.4946 13.8555 30.4946C12.7786 30.4946 11.9055 31.3456 11.9055 32.3954C11.9055 33.4451 12.7786 34.2962 13.8555 34.2962Z" fill="black"/>
<path d="M18.4138 7.19675L19.2512 2.66005" stroke="black" stroke-width="2.11786" stroke-linecap="square"/>
<path d="M22.2656 5.5855L19.3466 2.11099L15.3748 4.37292" stroke="black" stroke-width="2.11786" stroke-linecap="square" stroke-linejoin="round"/>
<path d="M14.9202 26.5528L15.7337 22.0169" stroke="black" stroke-width="2.11786" stroke-linecap="square"/>
<path d="M18.7729 24.9304L15.83 21.4671L11.8701 23.741" stroke="black" stroke-width="2.11786" stroke-linecap="square" stroke-linejoin="round"/>
<path d="M16.6077 17.1996L17.4212 12.6633" stroke="black" stroke-width="2.11786" stroke-linecap="square"/>
<path d="M20.4587 15.58L17.5277 12.128L13.5679 14.3904" stroke="black" stroke-width="2.11786" stroke-linecap="square" stroke-linejoin="round"/>
<path d="M8.32871 26.1554L4.75171 28.5815" stroke="black" stroke-width="2.01017" stroke-linecap="square"/>
<path d="M8.54383 30.0865L4.3208 28.8738L4.63185 24.5944" stroke="black" stroke-width="2.01017" stroke-linecap="square" stroke-linejoin="round"/>
<path d="M21.3213 28.4299L23.8096 31.9282" stroke="black" stroke-width="2.01017" stroke-linecap="square"/>
<path d="M19.718 32.045L24.1085 32.3365L25.3527 28.2438" stroke="black" stroke-width="2.01017" stroke-linecap="square" stroke-linejoin="round"/>
<path d="M25.3999 21.3291L29.7784 22.0996" stroke="black" stroke-width="2.05804" stroke-linecap="square"/>
<path d="M26.9072 25.072L30.3048 22.1919L28.1634 18.3557" stroke="black" stroke-width="2.05804" stroke-linecap="square" stroke-linejoin="round"/>
<path d="M24.1196 12.8615L28.0197 10.763" stroke="black" stroke-width="2.05804" stroke-linecap="square"/>
<path d="M24.3357 8.83965L28.4869 10.5188L27.7093 14.8216" stroke="black" stroke-width="2.05804" stroke-linecap="square" stroke-linejoin="round"/>
<path d="M6.91639 18.1572L2.52588 17.4101" stroke="black" stroke-width="2.05804" stroke-linecap="square"/>
<path d="M4.17731 21.1645L2 17.328L5.36167 14.436" stroke="black" stroke-width="2.05804" stroke-linecap="square" stroke-linejoin="round"/>
<path d="M11.0799 10.6129L8.14893 7.34769" stroke="black" stroke-width="2.05804" stroke-linecap="square"/>
<path d="M12.2897 6.77496L7.80349 6.96156L7.01392 11.2649" stroke="black" stroke-width="2.05804" stroke-linecap="square" stroke-linejoin="round"/>
</svg>

After

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View file

@ -0,0 +1,9 @@
import React, { forwardRef } from "react";
import { ReactComponent as SupabaseSvg } from "./supabase-icon.svg";
export const SupabaseIcon = forwardRef<
SVGSVGElement,
React.PropsWithChildren<{}>
>((props, ref) => {
return <SupabaseSvg ref={ref} {...props} />;
});

View file

@ -0,0 +1,99 @@
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<svg
xmlns:dc="http://purl.org/dc/elements/1.1/"
xmlns:cc="http://creativecommons.org/ns#"
xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
xmlns:svg="http://www.w3.org/2000/svg"
xmlns="http://www.w3.org/2000/svg"
xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
width="64"
height="64"
viewBox="0 0 64 64"
version="1.1"
id="svg20"
sodipodi:docname="supabase-icon.svg"
style="fill:none"
inkscape:version="0.92.4 (5da689c313, 2019-01-14)">
<metadata
id="metadata24">
<rdf:RDF>
<cc:Work
rdf:about="">
<dc:format>image/svg+xml</dc:format>
<dc:type
rdf:resource="http://purl.org/dc/dcmitype/StillImage" />
<dc:title></dc:title>
</cc:Work>
</rdf:RDF>
</metadata>
<sodipodi:namedview
pagecolor="#ffffff"
bordercolor="#666666"
borderopacity="1"
objecttolerance="10"
gridtolerance="10"
guidetolerance="10"
inkscape:pageopacity="0"
inkscape:pageshadow="2"
inkscape:window-width="1687"
inkscape:window-height="849"
id="namedview22"
showgrid="false"
inkscape:zoom="2.0884956"
inkscape:cx="54.5"
inkscape:cy="56.5"
inkscape:window-x="70"
inkscape:window-y="0"
inkscape:window-maximized="0"
inkscape:current-layer="svg20" />
<path
d="m 37.41219,62.936701 c -1.634985,2.05896 -4.950068,0.93085 -4.989463,-1.69817 L 31.846665,22.786035 h 25.855406 c 4.683108,0 7.294967,5.409033 4.382927,9.07673 z"
id="path2"
style="fill:url(#paint0_linear);stroke-width:0.57177335"
inkscape:connector-curvature="0" />
<path
d="m 37.41219,62.936701 c -1.634985,2.05896 -4.950068,0.93085 -4.989463,-1.69817 L 31.846665,22.786035 h 25.855406 c 4.683108,0 7.294967,5.409033 4.382927,9.07673 z"
id="path4"
style="fill:url(#paint1_linear);fill-opacity:0.2;stroke-width:0.57177335"
inkscape:connector-curvature="0" />
<path
d="m 26.89694,1.0634102 c 1.634986,-2.05918508 4.950125,-0.93090008 4.989521,1.698149 L 32.138899,41.214003 H 6.607076 c -4.6832501,0 -7.29518376,-5.409032 -4.3830007,-9.07673 z"
id="path6"
inkscape:connector-curvature="0"
style="fill:#3ecf8e;stroke-width:0.57177335" />
<defs
id="defs18">
<linearGradient
id="paint0_linear"
x1="53.973801"
y1="54.973999"
x2="94.163498"
y2="71.829498"
gradientUnits="userSpaceOnUse"
gradientTransform="matrix(0.57177306,0,0,0.57177334,0.98590077,-0.12074988)">
<stop
stop-color="#249361"
id="stop8" />
<stop
offset="1"
stop-color="#3ECF8E"
id="stop10" />
</linearGradient>
<linearGradient
id="paint1_linear"
x1="36.1558"
y1="30.577999"
x2="54.484402"
y2="65.080597"
gradientUnits="userSpaceOnUse"
gradientTransform="matrix(0.57177306,0,0,0.57177334,0.98590077,-0.12074988)">
<stop
id="stop13" />
<stop
offset="1"
stop-opacity="0"
id="stop15" />
</linearGradient>
</defs>
</svg>

After

Width:  |  Height:  |  Size: 3.2 KiB

View file

@ -1,4 +1,3 @@
import { CodeBracketSquareIcon } from "@heroicons/react/24/outline";
import { useContext, useState } from "react";
import { PopUpContext } from "../../contexts/popUpContext";
import "ace-builds/src-noconflict/mode-python";
@ -26,7 +25,7 @@ import {
TabsList,
TabsTrigger,
} from "../../components/ui/tabs";
import { Check, Clipboard } from "lucide-react";
import { Check, Clipboard, Code2 } from "lucide-react";
export default function ApiModal({ flow }: { flow: FlowType }) {
const [open, setOpen] = useState(true);
@ -88,7 +87,7 @@ export default function ApiModal({ flow }: { flow: FlowType }) {
<DialogHeader>
<DialogTitle className="flex items-center">
<span className="pr-2">Code</span>
<CodeBracketSquareIcon
<Code2
className="h-6 w-6 text-gray-800 pl-1 dark:text-white"
aria-hidden="true"
/>
@ -104,7 +103,9 @@ export default function ApiModal({ flow }: { flow: FlowType }) {
<div className="flex items-center justify-between px-2">
<TabsList>
{tabs.map((tab, index) => (
<TabsTrigger value={index.toString()}>{tab.name}</TabsTrigger>
<TabsTrigger key={index} value={index.toString()}>
{tab.name}
</TabsTrigger>
))}
</TabsList>
<div className="float-right">

View file

@ -12,7 +12,6 @@ import {
TableRow,
} from "../../components/ui/table";
import ToggleShadComponent from "../../components/toggleShadComponent";
import { VariableIcon } from "@heroicons/react/24/outline";
import InputListComponent from "../../components/inputListComponent";
import TextAreaComponent from "../../components/textAreaComponent";
import InputComponent from "../../components/inputComponent";
@ -33,6 +32,7 @@ import {
} from "../../components/ui/dialog";
import { Button } from "../../components/ui/button";
import { Badge } from "../../components/ui/badge";
import { Variable } from "lucide-react";
export default function EditNodeModal({ data }: { data: NodeDataType }) {
const [open, setOpen] = useState(true);
@ -80,7 +80,7 @@ export default function EditNodeModal({ data }: { data: NodeDataType }) {
return (
<Dialog open={true} onOpenChange={setModalOpen}>
<DialogTrigger></DialogTrigger>
<DialogTrigger asChild></DialogTrigger>
<DialogContent className="lg:max-w-[700px] ">
<DialogHeader>
<DialogTitle className="flex items-center">
@ -90,9 +90,7 @@ export default function EditNodeModal({ data }: { data: NodeDataType }) {
<DialogDescription>
{data.node?.description}
<div className="flex pt-4">
<VariableIcon className="w-5 h-5 pe-1 text-gray-700 stroke-2 dark:text-slate-200">
&nbsp;
</VariableIcon>
<Variable className="w-5 h-5 pe-1 text-gray-700 stroke-2 dark:text-slate-200"></Variable>
<span className="text-sm font-semibold text-gray-800 dark:text-white">
Parameters
</span>

View file

@ -101,6 +101,7 @@ export default function ModalField({
data.node.template[name].value = t;
setEnabled(t);
}}
size="small"
/>
</div>
) : type === "float" ? (

View file

@ -1,5 +1,4 @@
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";
@ -13,6 +12,7 @@ import {
} from "../../utils";
import { typesContext } from "../../contexts/typesContext";
import ModalField from "./components/ModalField";
import { X } from "lucide-react";
export default function NodeModal({ data }: { data: NodeDataType }) {
const [open, setOpen] = useState(true);
@ -27,7 +27,8 @@ export default function NodeModal({ data }: { data: NodeDataType }) {
}, 300);
}
}
const Icon = nodeIcons[types[data.type]];
// any to avoid type conflict
const Icon: any = nodeIcons[types[data.type]];
return (
<Transition.Root show={open} appear={true} as={Fragment}>
<Dialog
@ -69,7 +70,7 @@ export default function NodeModal({ data }: { data: NodeDataType }) {
}}
>
<span className="sr-only">Close</span>
<XMarkIcon className="h-6 w-6" aria-hidden="true" />
<X className="h-6 w-6" aria-hidden="true" />
</button>
</div>
<div className="h-full w-full flex flex-col justify-center items-center">

View file

@ -1,8 +1,9 @@
import { LockClosedIcon, PaperAirplaneIcon } from "@heroicons/react/24/outline";
import { classNames } from "../../../utils";
import { useContext, useEffect, useRef, useState } from "react";
import { TabsContext } from "../../../contexts/tabsContext";
import { INPUT_STYLE } from "../../../constants";
import { Lock, Send } from "lucide-react";
export default function ChatInput({
lockChat,
chatValue,
@ -14,10 +15,7 @@ export default function ChatInput({
if (!lockChat && inputRef.current) {
inputRef.current.focus();
}
},[
lockChat,inputRef
])
}, [lockChat, inputRef]);
useEffect(() => {
if (inputRef.current) {
@ -63,12 +61,12 @@ export default function ChatInput({
<div className="absolute bottom-0.5 right-3">
<button disabled={lockChat} onClick={() => sendMessage()}>
{lockChat ? (
<LockClosedIcon
<Lock
className="h-5 w-5 text-gray-500 dark:hover:text-gray-300 animate-pulse"
aria-hidden="true"
/>
) : (
<PaperAirplaneIcon
<Send
className="h-5 w-5 text-gray-500 hover:text-gray-600 dark:hover:text-gray-300"
aria-hidden="true"
/>

View file

@ -1,10 +1,8 @@
import { ChatBubbleOvalLeftEllipsisIcon } from "@heroicons/react/24/outline";
import { useEffect, useRef, useState } from "react";
import { ChatMessageType } from "../../../types/chat";
import { classNames } from "../../../utils";
import AiIcon from "../../../assets/Gooey Ring-5s-271px.svg";
import AiIconStill from "../../../assets/froze-flow.png";
import { UserIcon } from "@heroicons/react/24/solid";
import FileCard from "../fileComponent";
import ReactMarkdown from "react-markdown";
import rehypeMathjax from "rehype-mathjax";
@ -12,6 +10,7 @@ import remarkGfm from "remark-gfm";
import remarkMath from "remark-math";
import { CodeBlock } from "./codeBlock";
import Convert from "ansi-to-html";
import { User2, MessageCircle } from "lucide-react";
export default function ChatMessage({
chat,
@ -62,7 +61,7 @@ export default function ChatMessage({
</div>
)}
{chat.isSend && (
<UserIcon className="w-6 h-6 -mb-1 text-gray-800 dark:text-gray-200" />
<User2 className="w-6 h-6 -mb-1 text-gray-800 dark:text-gray-200" />
)}
</div>
{!chat.isSend ? (
@ -73,7 +72,7 @@ export default function ChatMessage({
onClick={() => setHidden((prev) => !prev)}
className="absolute -top-1 -left-2 cursor-pointer"
>
<ChatBubbleOvalLeftEllipsisIcon className="w-5 h-5 animate-bounce dark:text-white" />
<MessageCircle className="w-5 h-5 animate-bounce dark:text-white" />
</div>
)}
{chat.thought && chat.thought !== "" && !hidden && (
@ -152,7 +151,7 @@ export default function ChatMessage({
</div>
) : (
<div className="w-full flex items-center">
<div className="text-start inline-block px-3 text-sm text-gray-600 dark:text-white">
<div className="text-start inline-block px-3 text-gray-600 dark:text-white">
<span
className="text-gray-600 dark:text-gray-200"
dangerouslySetInnerHTML={{

View file

@ -1,6 +1,6 @@
import { CloudArrowDownIcon, DocumentIcon } from "@heroicons/react/24/outline";
import * as base64js from "base64-js";
import { useState } from "react";
import { DownloadCloud, File } from "lucide-react";
export default function FileCard({ fileName, content, fileType }) {
const handleDownload = () => {
@ -43,7 +43,7 @@ export default function FileCard({ fileName, content, fileType }) {
className="text-gray-500 py-1 px-2 dark:bg-gray-700 dark:text-gray-300"
onClick={handleDownload}
>
<CloudArrowDownIcon className="hover:scale-110 w-5 h-5 text-current"></CloudArrowDownIcon>
<DownloadCloud className="hover:scale-110 w-5 h-5 text-current" />
</button>
</div>
)}
@ -65,14 +65,14 @@ export default function FileCard({ fileName, content, fileType }) {
className="w-8 h-8"
/>
) : (
<DocumentIcon className="w-8 h-8" />
<File className="w-8 h-8" />
)}
<div className="flex flex-col items-start">
{" "}
<div className="truncate text-sm text-current">{fileName}</div>
<div className="truncate text-xs text-gray-500">{fileType}</div>
</div>
<CloudArrowDownIcon className="w-6 h-6 text-current ml-auto" />
<DownloadCloud className="w-6 h-6 text-current ml-auto" />
</div>
</button>
);

View file

@ -1,13 +1,11 @@
import { Dialog, Transition } from "@headlessui/react";
import { ChatBubbleOvalLeftEllipsisIcon } from "@heroicons/react/24/outline";
import { Fragment, useContext, useEffect, useRef, useState } from "react";
import { FlowType } from "../../types/flow";
import { alertContext } from "../../contexts/alertContext";
import { validateNodes } from "../../utils";
import { typesContext } from "../../contexts/typesContext";
import ChatMessage from "./chatMessage";
import { Eraser } from "lucide-react";
import { X } from "lucide-react";
import { X, MessagesSquare, Eraser } from "lucide-react";
import { sendAllProps } from "../../types/api";
import { ChatMessageType } from "../../types/chat";
import ChatInput from "./chatInput";
@ -387,7 +385,7 @@ export default function ChatModal({
<span className="text-base text-gray-500">
Start a conversation and click the agents thoughts{" "}
<span>
<ChatBubbleOvalLeftEllipsisIcon className="w-6 h-6 inline animate-bounce " />
<MessagesSquare className="w-5 h-5 inline animate-bounce mx-1 " />
</span>{" "}
to inspect the chaining process.
</span>

View file

@ -1,4 +1,3 @@
import { XMarkIcon, CommandLineIcon } from "@heroicons/react/24/outline";
import { Fragment, useContext, useRef, useState } from "react";
import { PopUpContext } from "../../contexts/popUpContext";
import AceEditor from "react-ace";
@ -22,6 +21,7 @@ import {
} from "../../components/ui/dialog";
import { Button } from "../../components/ui/button";
import { CODE_PROMPT_DIALOG_SUBTITLE } from "../../constants";
import { TerminalSquare } from "lucide-react";
export default function CodeAreaModal({
value,
@ -51,7 +51,7 @@ export default function CodeAreaModal({
<DialogHeader>
<DialogTitle className="flex items-center">
<span className="pr-2">Edit Code</span>
<CommandLineIcon
<TerminalSquare
className="h-6 w-6 text-gray-800 pl-1 dark:text-white"
aria-hidden="true"
/>

View file

@ -1,4 +1,3 @@
import { ArrowDownTrayIcon } from "@heroicons/react/24/outline";
import { useContext, useRef, useState } from "react";
import { alertContext } from "../../contexts/alertContext";
import { PopUpContext } from "../../contexts/popUpContext";

View file

@ -1,4 +1,3 @@
import { XMarkIcon, DocumentTextIcon } from "@heroicons/react/24/outline";
import { Fragment, useContext, useRef, useState } from "react";
import { PopUpContext } from "../../contexts/popUpContext";
import { darkContext } from "../../contexts/darkContext";
@ -17,6 +16,7 @@ import {
import { Button } from "../../components/ui/button";
import { Textarea } from "../../components/ui/textarea";
import { PROMPT_DIALOG_SUBTITLE, TEXT_DIALOG_SUBTITLE } from "../../constants";
import { FileText } from "lucide-react";
export default function GenericModal({
value,
@ -54,7 +54,7 @@ export default function GenericModal({
<DialogHeader>
<DialogTitle className="flex items-center">
<span className="pr-2">{myModalTitle}</span>
<DocumentTextIcon
<FileText
className="h-6 w-6 text-gray-800 pl-1 dark:text-white"
aria-hidden="true"
/>

View file

@ -1,7 +1,5 @@
import React, { ReactNode, useEffect, useRef, useState } from "react";
import { DocumentDuplicateIcon } from "@heroicons/react/solid";
import React, { ReactNode } from "react";
import { classNames } from "../../../utils";
import Tooltip from "../../../components/TooltipComponent";
export default function ButtonBox({
onClick,

View file

@ -1,6 +1,6 @@
import { ChevronRightIcon } from "@heroicons/react/24/solid";
import { Disclosure } from "@headlessui/react";
import { DisclosureComponentType } from "../../../../types/components";
import { ChevronRight } from "lucide-react";
export default function DisclosureComponent({
button: { title, Icon, buttons = [] },
@ -14,7 +14,7 @@ export default function DisclosureComponent({
<div>
<Disclosure.Button className="select-none bg-muted dark:bg-gray-700/60 dark:border-y-gray-600 w-full flex justify-between items-center -mt-px px-3 py-2 border-y border-y-gray-200">
<div className="flex gap-4">
<Icon className="w-6 text-gray-800 dark:text-white/80" />
<Icon size={22} className="text-gray-800 dark:text-white/80" />
<span className="flex items-center text-sm text-gray-800 dark:text-white/80 font-medium">
{title}
</span>
@ -26,7 +26,7 @@ export default function DisclosureComponent({
</button>
))}
<div>
<ChevronRightIcon
<ChevronRight
className={`${
open || openDisc ? "rotate-90 transform" : ""
} h-4 w-4 text-gray-800 dark:text-white`}

View file

@ -398,7 +398,8 @@ export default function Page({ flow }: { flow: FlowType }) {
zoomOnDoubleClick={!disableCopyPaste}
selectNodesOnDrag={false}
className="theme-attribution"
minZoom={0.05}
minZoom={0.01}
maxZoom={8}
>
<Background className="dark:bg-gray-900" />
<Controls className="[&>button]:text-black [&>button]:dark:bg-gray-800 hover:[&>button]:dark:bg-gray-700 [&>button]:dark:text-gray-400 [&>button]:dark:fill-gray-400 [&>button]:dark:border-gray-600"></Controls>

View file

@ -1,25 +1,23 @@
import { Bars2Icon } from "@heroicons/react/24/outline";
import DisclosureComponent from "../DisclosureComponent";
import {
classNames,
nodeColors,
nodeIcons,
nodeIconsLucide,
nodeNames,
} from "../../../../utils";
import { useContext, useState } from "react";
import { typesContext } from "../../../../contexts/typesContext";
import { APIClassType, APIObjectType } from "../../../../types/api";
import { MagnifyingGlassIcon } from "@heroicons/react/24/outline";
import ShadTooltip from "../../../../components/ShadTooltipComponent";
import { Code2, FileDown, FileUp, Save } from "lucide-react";
import { Code2, FileDown, FileUp, Save, Search } from "lucide-react";
import { PopUpContext } from "../../../../contexts/popUpContext";
import ExportModal from "../../../../modals/exportModal";
import ApiModal from "../../../../modals/ApiModal";
import { TabsContext } from "../../../../contexts/tabsContext";
import { alertContext } from "../../../../contexts/alertContext";
import { updateFlowInDatabase } from "../../../../controllers/API";
import { INPUT_STYLE } from "../../../../constants";
import { Separator } from "../../../../components/ui/separator";
import { Menu } from "lucide-react";
export default function ExtraSidebar() {
const { data } = useContext(typesContext);
@ -64,7 +62,7 @@ export default function ExtraSidebar() {
return (
<div className="w-52 flex flex-col overflow-hidden scrollbar-hide h-full border-r">
<div className="mt-2 mb-2 w-full flex gap-2 justify-between px-2 items-center">
<ShadTooltip delayDuration={1000} content="Import" side="top">
<ShadTooltip content="Import" side="top">
<button
className="hover:dark:hover:bg-[#242f47] text-gray-700 w-full justify-center shadow-sm transition-all duration-500 ease-in-out dark:bg-gray-800 dark:text-gray-300 relative inline-flex items-center rounded-md bg-white px-2 py-2 ring-1 ring-inset ring-gray-300 hover:bg-gray-50"
onClick={() => {
@ -76,7 +74,7 @@ export default function ExtraSidebar() {
</button>
</ShadTooltip>
<ShadTooltip delayDuration={1000} content="Export" side="top">
<ShadTooltip content="Export" side="top">
<button
className={classNames(
"hover:dark:hover:bg-[#242f47] text-gray-700 w-full justify-center shadow-sm transition-all duration-500 ease-in-out dark:bg-gray-800 dark:text-gray-300 relative inline-flex items-center bg-white px-2 py-2 ring-1 ring-inset ring-gray-300 hover:bg-gray-50 rounded-md"
@ -88,7 +86,7 @@ export default function ExtraSidebar() {
<FileDown className="w-5 h-5 dark:text-gray-300"></FileDown>
</button>
</ShadTooltip>
<ShadTooltip delayDuration={1000} content="Code" side="top">
<ShadTooltip content="Code" side="top">
<button
className={classNames(
"hover:dark:hover:bg-[#242f47] text-gray-700 w-full justify-center shadow-sm transition-all duration-500 ease-in-out dark:bg-gray-800 dark:text-gray-300 relative inline-flex items-center bg-white px-2 py-2 ring-1 ring-inset ring-gray-300 hover:bg-gray-50 rounded-md"
@ -101,7 +99,7 @@ export default function ExtraSidebar() {
</button>
</ShadTooltip>
<ShadTooltip delayDuration={1000} content="Save" side="top">
<ShadTooltip content="Save" side="top">
<button
className="hover:dark:hover:bg-[#242f47] text-gray-700 w-full justify-center transition-all shadow-sm duration-500 ease-in-out dark:bg-gray-800 dark:text-gray-300 relative inline-flex items-center bg-white px-2 py-2 ring-1 ring-inset ring-gray-300 hover:bg-gray-50 rounded-md"
onClick={(event) => {
@ -135,7 +133,7 @@ export default function ExtraSidebar() {
}}
/>
<div className="absolute inset-y-0 right-0 flex py-1.5 pr-3 items-center">
<MagnifyingGlassIcon className="h-5 w-5 dark:text-white"></MagnifyingGlassIcon>
<Search size={20} color="#000000" />
</div>
</div>
@ -146,10 +144,10 @@ export default function ExtraSidebar() {
Object.keys(dataFilter[d]).length > 0 ? (
<DisclosureComponent
openDisc={search.length == 0 ? false : true}
key={i}
key={nodeNames[d]}
button={{
title: nodeNames[d] ?? nodeNames.unknown,
Icon: nodeIcons[d] ?? nodeIcons.unknown,
Icon: nodeIconsLucide[d] ?? nodeIconsLucide.unknown,
}}
>
<div className="p-2 flex flex-col gap-2">
@ -157,10 +155,9 @@ export default function ExtraSidebar() {
.sort()
.map((t: string, k) => (
<ShadTooltip
content={t}
delayDuration={1500}
content={data[d][t].display_name}
side="right"
key={i}
key={data[d][t].display_name}
>
<div key={k} data-tooltip-id={t}>
<div
@ -186,9 +183,9 @@ export default function ExtraSidebar() {
>
<div className="flex w-full justify-between text-sm px-3 py-1 bg-white dark:bg-gray-800 items-center border-dashed border-gray-400 dark:border-gray-600 border-l-0 rounded-md rounded-l-none border">
<span className="text-black dark:text-white w-full pr-1 truncate text-xs">
{t}
{data[d][t].display_name}
</span>
<Bars2Icon className="w-4 h-6 text-gray-400 dark:text-gray-600" />
<Menu className="w-4 h-6 text-gray-400 dark:text-gray-600" />
</div>
</div>
</div>

View file

@ -1,5 +1,5 @@
import { useContext, useState } from "react";
import { Settings2, Copy, Trash2 } from "lucide-react";
import { Settings2, Copy, Trash2, FileText } from "lucide-react";
import { classNames } from "../../../../utils";
import { TabsContext } from "../../../../contexts/tabsContext";
import { useReactFlow } from "reactflow";
@ -29,23 +29,21 @@ const NodeToolbarComponent = (props) => {
<>
<div className="h-10 w-26">
<span className="isolate inline-flex rounded-md shadow-sm">
<ShadTooltip delayDuration={1000} content="Delete" side="top">
<ShadTooltip content="Delete" side="top">
<button
className="hover:dark:hover:bg-[#242f47] text-gray-700 transition-all duration-500 ease-in-out dark:bg-gray-800 dark:text-gray-300 shadow-md relative inline-flex items-center rounded-l-md bg-white px-2 py-2 ring-1 ring-inset ring-gray-300 hover:bg-muted focus:z-10"
className="hover:dark:hover:bg-[#242f47] text-foreground transition-all duration-500 ease-in-out dark:bg-gray-800 dark:text-muted-foreground shadow-md relative inline-flex items-center rounded-l-md bg-white px-2 py-2 ring-1 ring-inset ring-gray-300 hover:bg-muted focus:z-10"
onClick={() => {
props.deleteNode(props.data.id);
}}
>
<Trash2 className="w-4 h-4 dark:text-gray-300"></Trash2>
<Trash2 className="w-4 h-4 dark:text-muted-foreground"></Trash2>
</button>
</ShadTooltip>
<ShadTooltip delayDuration={1000} content="Duplicate" side="top">
<ShadTooltip content="Duplicate" side="top">
<button
className={classNames(
nodeLength > 0
? "hover:dark:hover:bg-[#242f47] text-gray-700 transition-all duration-500 ease-in-out dark:bg-gray-800 dark:text-gray-300 shadow-md relative -ml-px inline-flex items-center bg-white px-2 py-2 ring-1 ring-inset ring-gray-300 hover:bg-muted focus:z-10"
: "hover:dark:hover:bg-[#242f47] text-gray-700 transition-all duration-500 ease-in-out dark:bg-gray-800 dark:text-gray-300 shadow-md relative -ml-px inline-flex items-center bg-white px-2 py-2 ring-1 ring-inset ring-gray-300 hover:bg-muted focus:z-10 rounded-r-md"
"hover:dark:hover:bg-[#242f47] text-foreground transition-all duration-500 ease-in-out dark:bg-gray-800 dark:text-muted-foreground shadow-md relative -ml-px inline-flex items-center bg-white px-2 py-2 ring-1 ring-inset ring-gray-300 hover:bg-muted focus:z-10"
)}
onClick={(event) => {
event.preventDefault();
@ -64,31 +62,66 @@ const NodeToolbarComponent = (props) => {
);
}}
>
<Copy className="w-4 h-4 dark:text-gray-300"></Copy>
<Copy className="w-4 h-4 dark:text-muted-foreground"></Copy>
</button>
</ShadTooltip>
{nodeLength > 0 && (
<ShadTooltip delayDuration={1000} content="Edit" side="top">
<button
className="hover:dark:hover:bg-[#242f47] text-gray-700 transition-all duration-500 ease-in-out dark:bg-gray-800 dark:text-gray-300 shadow-md relative -ml-px inline-flex items-center bg-white px-2 py-2 ring-1 ring-inset ring-gray-300 hover:bg-muted focus:z-10 rounded-r-md"
onClick={(event) => {
<ShadTooltip
content={
props.data.node.documentation === ""
? "Coming Soon"
: "Documentation"
}
side="top"
>
<a
className={classNames(
"hover:dark:hover:bg-[#242f47] transition-all duration-500 ease-in-out dark:bg-gray-800 dark:text-muted-foreground shadow-md relative -ml-px inline-flex items-center bg-white px-2 py-2 ring-1 ring-inset ring-gray-300 hover:bg-muted focus:z-10" +
(props.data.node.documentation === ""
? " text-muted-foreground"
: " text-foreground")
)}
target="_blank"
rel="noopener noreferrer"
href={props.data.node.documentation}
// deactivate link if no documentation is provided
onClick={(event) => {
if (props.data.node.documentation === "") {
event.preventDefault();
props.openPopUp(<EditNodeModal data={props.data} />);
}}
>
<Settings2 className="w-4 h-4 dark:text-gray-300"></Settings2>
</button>
</ShadTooltip>
)}
}
}}
>
<FileText className="w-4 h-4 dark:text-muted-foreground"></FileText>
</a>
</ShadTooltip>
<ShadTooltip content="Edit" side="top">
<button
className={classNames(
"hover:dark:hover:bg-[#242f47] transition-all duration-500 ease-in-out dark:bg-gray-800 dark:text-muted-foreground shadow-md relative -ml-px inline-flex items-center bg-white px-2 py-2 ring-1 ring-inset ring-gray-300 hover:bg-muted focus:z-10 rounded-r-md" +
(nodeLength == 0
? " text-muted-foreground"
: " text-foreground")
)}
onClick={(event) => {
if (nodeLength == 0) {
event.preventDefault();
}
event.preventDefault();
props.openPopUp(<EditNodeModal data={props.data} />);
}}
>
<Settings2 className="w-4 h-4 dark:text-muted-foreground"></Settings2>
</button>
</ShadTooltip>
{/*
<Menu as="div" className="relative inline-block text-left z-100">
<button className="hover:dark:hover:bg-[#242f47] text-gray-700 transition-all duration-500 ease-in-out dark:bg-gray-800 dark:text-gray-300 shadow-md relative -ml-px inline-flex items-center bg-white px-2 py-2 ring-1 ring-inset ring-gray-300 hover:bg-muted focus:z-10 rounded-r-md">
<button className="hover:dark:hover:bg-[#242f47] text-foreground transition-all duration-500 ease-in-out dark:bg-gray-800 dark:text-muted-foreground shadow-md relative -ml-px inline-flex items-center bg-white px-2 py-2 ring-1 ring-inset ring-gray-300 hover:bg-muted focus:z-10 rounded-r-md">
<div>
<Menu.Button className="flex items-center">
<EllipsisVerticalIcon
className="w-5 h-5 dark:text-gray-300"
className="w-5 h-5 dark:text-muted-foreground"
aria-hidden="true"
/>
</Menu.Button>
@ -117,7 +150,7 @@ const NodeToolbarComponent = (props) => {
className={classNames(
active
? "bg-muted text-gray-900"
: "text-gray-700",
: "text-foreground",
"w-full group flex items-center px-4 py-2 text-sm"
)}
>
@ -157,7 +190,7 @@ const NodeToolbarComponent = (props) => {
className={classNames(
active
? "bg-muted text-gray-900"
: "text-gray-700",
: "text-foreground",
"w-full group flex items-center px-4 py-2 text-sm"
)}
>

View file

@ -11,6 +11,8 @@ export type APIClassType = {
base_classes: Array<string>;
description: string;
template: APITemplateType;
display_name: string;
documentation: string;
[key: string]: Array<string> | string | APITemplateType;
};
export type TemplateVariableType = {
@ -46,3 +48,8 @@ export type BuildStatusTypeAPI = {
export type InitTypeAPI = {
flowId: string;
};
export type UploadFileTypeAPI = {
file_path: string;
flowId: string;
};

View file

@ -1,4 +1,4 @@
import { ForwardRefExoticComponent, ReactElement, ReactNode } from "react";
import { ReactElement, ReactNode } from "react";
import { NodeDataType } from "../flow/index";
import { typesContextType } from "../typesContext";
export type InputComponentType = {
@ -35,6 +35,7 @@ export type ParameterComponentType = {
name?: string;
tooltipTitle: string;
dataContext?: typesContextType;
info?: string;
};
export type InputListComponentType = {
value: string[];
@ -65,7 +66,7 @@ export type DisclosureComponentType = {
openDisc: boolean;
button: {
title: string;
Icon: ForwardRefExoticComponent<React.SVGProps<SVGSVGElement>>;
Icon: any;
buttons?: {
Icon: ReactElement;
title: string;
@ -109,3 +110,12 @@ export type RadialProgressType = {
value?: number;
color?: string;
};
export type Side = "top" | "right" | "bottom" | "left";
export type ShadTooltipProps = {
delayDuration?: number;
side?: Side;
content: ReactNode;
children: ReactNode;
};

View file

@ -1,5 +1,3 @@
import { HomeIcon } from "@heroicons/react/24/outline";
export type sidebarNavigationItemType = {
name: string;
href: string;

View file

@ -1,7 +1,8 @@
import { ReactFlowInstance } from "reactflow";
import { APIClassType } from "../api";
const types: { [char: string]: string } = {};
const template: { [char: string]: string } = {};
const template: { [char: string]: APIClassType } = {};
const data: { [char: string]: string } = {};
export type typesContextType = {

View file

@ -33,15 +33,37 @@ import { HackerNewsIcon } from "./icons/hackerNews";
import { HugginFaceIcon } from "./icons/HuggingFace";
import { IFixIcon } from "./icons/IFixIt";
import { MetaIcon } from "./icons/Meta";
import { MidjorneyIcon } from "./icons/Midjorney";
import { MidjourneyIcon } from "./icons/Midjorney";
import { NotionIcon } from "./icons/Notion";
import { OpenAiIcon } from "./icons/OpenAi";
import { QDrantIcon } from "./icons/QDrant";
import { SearxIcon } from "./icons/Searx";
import { SlackIcon } from "./icons/Slack";
import { PineconeIcon } from "./icons/Pinecone";
import clsx, { ClassValue } from "clsx";
import { twMerge } from "tailwind-merge";
import { ADJECTIVES, DESCRIPTIONS, NOUNS } from "./constants";
import { ComponentType, SVGProps } from "react";
import {
Cpu,
Fingerprint,
Gift,
Hammer,
HelpCircle,
Laptop2,
Layers,
Lightbulb,
Link,
MessageCircle,
Paperclip,
Rocket,
Scissors,
TerminalSquare,
Wand2,
Wrench,
} from "lucide-react";
import { SupabaseIcon } from "./icons/supabase";
import { MongoDBIcon } from "./icons/MongoDB";
export function classNames(...classes: Array<string>) {
return classes.filter(Boolean).join(" ");
@ -165,11 +187,14 @@ export const nodeIcons: {
HuggingFaceEmbeddings: HugginFaceIcon,
IFixitLoader: IFixIcon,
Meta: MetaIcon,
Midjorney: MidjorneyIcon,
Midjourney: MidjourneyIcon,
NotionDirectoryLoader: NotionIcon,
ChatOpenAI: OpenAiIcon,
OpenAI: OpenAiIcon,
OpenAIEmbeddings: OpenAiIcon,
Pinecone: PineconeIcon,
SupabaseVectorStore: SupabaseIcon,
MongoDBAtlasVectorSearch: MongoDBIcon,
// UnstructuredPowerPointLoader: PowerPointIcon, // word and powerpoint have differente styles
Qdrant: QDrantIcon,
// ReadTheDocsLoader: ReadTheDocsIcon, // does not work
@ -198,6 +223,151 @@ export const nodeIcons: {
unknown: QuestionMarkCircleIcon,
};
export const nodeIconsLucide: {
[char: string]: React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>;
} = {
Chroma: ChromaIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
AirbyteJSONLoader: AirbyteIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
Anthropic: AnthropicIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
ChatAnthropic: AnthropicIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
BingSearchAPIWrapper: BingIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
BingSearchRun: BingIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
Cohere: CohereIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
CohereEmbeddings: CohereIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
EverNoteLoader: EvernoteIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
FacebookChatLoader: FBIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
GitbookLoader: GitBookIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
GoogleSearchAPIWrapper: GoogleIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
GoogleSearchResults: GoogleIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
GoogleSearchRun: GoogleIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
HNLoader: HackerNewsIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
HuggingFaceHub: HugginFaceIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
HuggingFaceEmbeddings: HugginFaceIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
IFixitLoader: IFixIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
Meta: MetaIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
Midjorney: MidjourneyIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
MongoDBAtlasVectorSearch: MongoDBIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
NotionDirectoryLoader: NotionIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
ChatOpenAI: OpenAiIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
OpenAI: OpenAiIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
OpenAIEmbeddings: OpenAiIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
Pinecone: PineconeIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
Qdrant: QDrantIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
Searx: SearxIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
SlackDirectoryLoader: SlackIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
SupabaseVectorStore: SupabaseIcon as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
agents: Rocket as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
chains: Link as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
memories: Cpu as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
llms: Lightbulb as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
prompts: TerminalSquare as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
tools: Wrench as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
advanced: Laptop2 as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
chat: MessageCircle as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
embeddings: Fingerprint as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
documentloaders: Paperclip as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
vectorstores: Layers as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
toolkits: Hammer as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
textsplitters: Scissors as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
wrappers: Gift as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
utilities: Wand2 as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
unknown: HelpCircle as React.ForwardRefExoticComponent<
ComponentType<SVGProps<SVGSVGElement>>
>,
};
export const gradients = [
"bg-gradient-to-br from-gray-800 via-rose-700 to-violet-900",
"bg-gradient-to-br from-green-200 via-green-300 to-blue-500",
@ -403,9 +573,7 @@ export function toFirstUpperCase(str: string) {
}
export function snakeToSpaces(str: string) {
let result = str.split("_").join(" ");
return result;
return str.split("_").join(" ");
}
export function toNormalCase(str: string) {
@ -449,10 +617,7 @@ export function roundNumber(x: number, decimals: number) {
export function getConnectedNodes(edge: Edge, nodes: Array<Node>): Array<Node> {
const sourceId = edge.source;
const targetId = edge.target;
const connectedNodes = nodes.filter(
(node) => node.id === targetId || node.id === sourceId
);
return connectedNodes;
return nodes.filter((node) => node.id === targetId || node.id === sourceId);
}
export function isValidConnection(
@ -699,7 +864,7 @@ export function groupByFamily(data, baseClasses) {
return foundIndex === index;
});
let groupedObj = groupedBy.reduce((result, item) => {
return groupedBy.reduce((result, item) => {
const existingGroup = result.find((group) => group.family === item.family);
if (existingGroup) {
@ -710,8 +875,6 @@ export function groupByFamily(data, baseClasses) {
return result;
}, []);
return groupedObj;
}
export function buildTweaks(flow) {
@ -752,9 +915,7 @@ export function validateNode(
)
? [
`${type} is missing ${
template.display_name
? template.display_name
: toNormalCase(template[t].name)
template.display_name || toNormalCase(template[t].name)
}.`,
]
: []
@ -813,9 +974,9 @@ export function getRandomName(
return toTitleCase(final_name);
}
export function getRandomKeyByssmm(): string{
export function getRandomKeyByssmm(): string {
const now = new Date();
const seconds = String(now.getSeconds()).padStart(2, '0');
const milliseconds = String(now.getMilliseconds()).padStart(3, '0');
return seconds + milliseconds;
const seconds = String(now.getSeconds()).padStart(2, "0");
const milliseconds = String(now.getMilliseconds()).padStart(3, "0");
return seconds + milliseconds + Math.abs(Math.floor(Math.random() * 10001));
}

File diff suppressed because one or more lines are too long

View file

@ -26,6 +26,7 @@ def test_zero_shot_agent(client: TestClient):
"type": "LLMChain",
"list": False,
"advanced": False,
"info": "",
}
assert template["allowed_tools"] == {
"required": False,
@ -37,6 +38,7 @@ def test_zero_shot_agent(client: TestClient):
"type": "Tool",
"list": True,
"advanced": False,
"info": "",
}
@ -60,6 +62,7 @@ def test_json_agent(client: TestClient):
"type": "BaseToolkit",
"list": False,
"advanced": False,
"info": "",
}
assert template["llm"] == {
"required": True,
@ -72,6 +75,7 @@ def test_json_agent(client: TestClient):
"list": False,
"advanced": False,
"display_name": "LLM",
"info": "",
}
@ -97,8 +101,9 @@ def test_csv_agent(client: TestClient):
"name": "path",
"type": "file",
"list": False,
"content": None,
"file_path": None,
"advanced": False,
"info": "",
}
assert template["llm"] == {
"required": True,
@ -111,6 +116,7 @@ def test_csv_agent(client: TestClient):
"list": False,
"advanced": False,
"display_name": "LLM",
"info": "",
}
@ -137,11 +143,13 @@ def test_initialize_agent(client: TestClient):
"self-ask-with-search",
"conversational-react-description",
"openai-functions",
"openai-multi-functions",
],
"name": "agent",
"type": "str",
"list": True,
"advanced": False,
"info": "",
}
assert template["memory"] == {
"required": False,
@ -153,6 +161,7 @@ def test_initialize_agent(client: TestClient):
"type": "BaseChatMemory",
"list": False,
"advanced": False,
"info": "",
}
assert template["tools"] == {
"required": False,
@ -164,6 +173,7 @@ def test_initialize_agent(client: TestClient):
"type": "Tool",
"list": True,
"advanced": False,
"info": "",
}
assert template["llm"] == {
"required": True,
@ -176,4 +186,5 @@ def test_initialize_agent(client: TestClient):
"list": False,
"advanced": False,
"display_name": "LLM",
"info": "",
}

View file

@ -38,6 +38,7 @@ def test_conversation_chain(client: TestClient):
"type": "BaseMemory",
"list": False,
"advanced": False,
"info": "",
}
assert template["verbose"] == {
"required": False,
@ -49,6 +50,7 @@ def test_conversation_chain(client: TestClient):
"type": "bool",
"list": False,
"advanced": True,
"info": "",
}
assert template["llm"] == {
"required": True,
@ -60,6 +62,7 @@ def test_conversation_chain(client: TestClient):
"type": "BaseLanguageModel",
"list": False,
"advanced": False,
"info": "",
}
assert template["input_key"] == {
"required": True,
@ -72,6 +75,7 @@ def test_conversation_chain(client: TestClient):
"type": "str",
"list": False,
"advanced": True,
"info": "",
}
assert template["output_key"] == {
"required": True,
@ -84,6 +88,7 @@ def test_conversation_chain(client: TestClient):
"type": "str",
"list": False,
"advanced": True,
"info": "",
}
assert template["_type"] == "ConversationChain"
@ -120,6 +125,7 @@ def test_llm_chain(client: TestClient):
"type": "BaseMemory",
"list": False,
"advanced": False,
"info": "",
}
assert template["verbose"] == {
"required": False,
@ -132,6 +138,7 @@ def test_llm_chain(client: TestClient):
"type": "bool",
"list": False,
"advanced": True,
"info": "",
}
assert template["llm"] == {
"required": True,
@ -143,6 +150,7 @@ def test_llm_chain(client: TestClient):
"type": "BaseLanguageModel",
"list": False,
"advanced": False,
"info": "",
}
assert template["output_key"] == {
"required": True,
@ -155,6 +163,7 @@ def test_llm_chain(client: TestClient):
"type": "str",
"list": False,
"advanced": True,
"info": "",
}
@ -184,6 +193,7 @@ def test_llm_checker_chain(client: TestClient):
"type": "BaseLanguageModel",
"list": False,
"advanced": False,
"info": "",
}
assert template["_type"] == "LLMCheckerChain"
@ -217,6 +227,7 @@ def test_llm_math_chain(client: TestClient):
"type": "BaseMemory",
"list": False,
"advanced": False,
"info": "",
}
assert template["verbose"] == {
"required": False,
@ -229,6 +240,7 @@ def test_llm_math_chain(client: TestClient):
"type": "bool",
"list": False,
"advanced": True,
"info": "",
}
assert template["llm"] == {
"required": True,
@ -240,6 +252,7 @@ def test_llm_math_chain(client: TestClient):
"type": "BaseLanguageModel",
"list": False,
"advanced": False,
"info": "",
}
assert template["input_key"] == {
"required": True,
@ -252,6 +265,7 @@ def test_llm_math_chain(client: TestClient):
"type": "str",
"list": False,
"advanced": True,
"info": "",
}
assert template["output_key"] == {
"required": True,
@ -264,6 +278,7 @@ def test_llm_math_chain(client: TestClient):
"type": "str",
"list": False,
"advanced": True,
"info": "",
}
assert template["_type"] == "LLMMathChain"
@ -304,6 +319,7 @@ def test_series_character_chain(client: TestClient):
"type": "BaseLanguageModel",
"list": False,
"advanced": False,
"info": "",
}
assert template["character"] == {
"required": True,
@ -315,6 +331,7 @@ def test_series_character_chain(client: TestClient):
"type": "str",
"list": False,
"advanced": False,
"info": "",
}
assert template["series"] == {
"required": True,
@ -326,6 +343,7 @@ def test_series_character_chain(client: TestClient):
"type": "str",
"list": False,
"advanced": False,
"info": "",
}
assert template["_type"] == "SeriesCharacterChain"
@ -367,6 +385,7 @@ def test_mid_journey_prompt_chain(client: TestClient):
"type": "BaseLanguageModel",
"list": False,
"advanced": False,
"info": "",
}
# Test the description object
assert (
@ -406,6 +425,7 @@ def test_time_travel_guide_chain(client: TestClient):
"type": "BaseLanguageModel",
"list": False,
"advanced": False,
"info": "",
}
assert template["memory"] == {
"required": False,
@ -417,6 +437,7 @@ def test_time_travel_guide_chain(client: TestClient):
"type": "BaseChatMemory",
"list": False,
"advanced": False,
"info": "",
}
assert chain["description"] == "Time travel guide chain."

View file

@ -34,7 +34,7 @@ def test_template_field_defaults(sample_template_field: TemplateField):
assert sample_template_field.value is None
assert sample_template_field.suffixes == []
assert sample_template_field.file_types == []
assert sample_template_field.content is None
assert sample_template_field.file_path is None
assert sample_template_field.password is False
assert sample_template_field.name == "test_field"

View file

@ -1,3 +1,5 @@
import os
from pathlib import Path
from typing import Type, Union
from langflow.graph.edge.base import Edge
from langflow.graph.vertex.base import Vertex
@ -236,6 +238,7 @@ def test_build_params(basic_graph):
root = get_root_node(basic_graph)
# Root node is a TimeTravelGuideChain
# which requires an llm and memory
assert root is not None
assert isinstance(root.params, dict)
assert "llm" in root.params
assert "memory" in root.params
@ -269,7 +272,6 @@ def test_tool_node_build(complex_graph):
assert tool_node is not None
built_object = tool_node.build()
assert built_object is not None
# Add any further assertions specific to the ToolNode's build() method
def test_chain_node_build(complex_graph):
@ -277,7 +279,6 @@ def test_chain_node_build(complex_graph):
assert chain_node is not None
built_object = chain_node.build()
assert built_object is not None
# Add any further assertions specific to the ChainNode's build() method
def test_prompt_node_build(complex_graph):
@ -285,7 +286,6 @@ def test_prompt_node_build(complex_graph):
assert prompt_node is not None
built_object = prompt_node.build()
assert built_object is not None
# Add any further assertions specific to the PromptNode's build() method
def test_llm_node_build(basic_graph):
@ -293,23 +293,36 @@ def test_llm_node_build(basic_graph):
assert llm_node is not None
built_object = llm_node.build()
assert built_object is not None
# Add any further assertions specific to the LLMNode's build() method
def test_toolkit_node_build(openapi_graph):
# Write a file to the disk
file_path = "api-with-examples.yaml"
with open(file_path, "w") as f:
f.write("openapi: 3.0.0")
toolkit_node = get_node_by_type(openapi_graph, ToolkitVertex)
assert toolkit_node is not None
built_object = toolkit_node.build()
assert built_object is not None
# Add any further assertions specific to the ToolkitNode's build() method
# Remove the file
os.remove(file_path)
assert not Path(file_path).exists()
def test_file_tool_node_build(openapi_graph):
file_path = "api-with-examples.yaml"
with open(file_path, "w") as f:
f.write("openapi: 3.0.0")
assert Path(file_path).exists()
file_tool_node = get_node_by_type(openapi_graph, FileToolVertex)
assert file_tool_node is not None
built_object = file_tool_node.build()
assert built_object is not None
# Add any further assertions specific to the FileToolNode's build() method
# Remove the file
os.remove(file_path)
assert not Path(file_path).exists()
def test_wrapper_node_build(openapi_graph):
@ -317,7 +330,6 @@ def test_wrapper_node_build(openapi_graph):
assert wrapper_node is not None
built_object = wrapper_node.build()
assert built_object is not None
# Add any further assertions specific to the WrapperNode's build() method
def test_get_result_and_thought(basic_graph):
@ -325,7 +337,7 @@ def test_get_result_and_thought(basic_graph):
responses = [
"Final Answer: I am a response",
]
message = "Hello"
message = {"input": "Hello"}
# Find the node that is an LLMNode and change the
# _built_object to a FakeListLLM
llm_node = get_node_by_type(basic_graph, LLMVertex)
@ -338,8 +350,5 @@ def test_get_result_and_thought(basic_graph):
# now build again and check if FakeListLLM was used
# Get the result and thought
result, thought = get_result_and_thought(langchain_object, message)
# The result should be a str
assert isinstance(result, str)
# The thought should be a Thought
assert isinstance(thought, str)
result = get_result_and_thought(langchain_object, message)
assert isinstance(result, dict)

View file

@ -121,6 +121,7 @@ def test_openai(client: TestClient):
"type": "bool",
"list": False,
"advanced": False,
"info": "",
}
assert template["verbose"] == {
"required": False,
@ -132,6 +133,7 @@ def test_openai(client: TestClient):
"type": "bool",
"list": False,
"advanced": False,
"info": "",
}
assert template["client"] == {
"required": False,
@ -143,6 +145,7 @@ def test_openai(client: TestClient):
"type": "Any",
"list": False,
"advanced": False,
"info": "",
}
assert template["model_name"] == {
"required": False,
@ -162,6 +165,7 @@ def test_openai(client: TestClient):
"type": "str",
"list": True,
"advanced": False,
"info": "",
}
# Add more assertions for other properties here
assert template["temperature"] == {
@ -175,6 +179,7 @@ def test_openai(client: TestClient):
"type": "float",
"list": False,
"advanced": False,
"info": "",
}
assert template["max_tokens"] == {
"required": False,
@ -187,6 +192,7 @@ def test_openai(client: TestClient):
"type": "int",
"list": False,
"advanced": False,
"info": "",
}
assert template["top_p"] == {
"required": False,
@ -199,6 +205,7 @@ def test_openai(client: TestClient):
"type": "float",
"list": False,
"advanced": False,
"info": "",
}
assert template["frequency_penalty"] == {
"required": False,
@ -211,6 +218,7 @@ def test_openai(client: TestClient):
"type": "float",
"list": False,
"advanced": False,
"info": "",
}
assert template["presence_penalty"] == {
"required": False,
@ -223,6 +231,7 @@ def test_openai(client: TestClient):
"type": "float",
"list": False,
"advanced": False,
"info": "",
}
assert template["n"] == {
"required": False,
@ -235,6 +244,7 @@ def test_openai(client: TestClient):
"type": "int",
"list": False,
"advanced": False,
"info": "",
}
assert template["best_of"] == {
"required": False,
@ -247,6 +257,7 @@ def test_openai(client: TestClient):
"type": "int",
"list": False,
"advanced": False,
"info": "",
}
assert template["model_kwargs"] == {
"required": False,
@ -258,6 +269,7 @@ def test_openai(client: TestClient):
"type": "code",
"list": False,
"advanced": True,
"info": "",
}
assert template["openai_api_key"] == {
"required": False,
@ -271,6 +283,7 @@ def test_openai(client: TestClient):
"type": "str",
"list": False,
"advanced": False,
"info": "",
}
assert template["batch_size"] == {
"required": False,
@ -283,6 +296,7 @@ def test_openai(client: TestClient):
"type": "int",
"list": False,
"advanced": False,
"info": "",
}
assert template["request_timeout"] == {
"required": False,
@ -294,6 +308,7 @@ def test_openai(client: TestClient):
"type": "float",
"list": False,
"advanced": False,
"info": "",
}
assert template["logit_bias"] == {
"required": False,
@ -305,6 +320,7 @@ def test_openai(client: TestClient):
"type": "code",
"list": False,
"advanced": False,
"info": "",
}
assert template["max_retries"] == {
"required": False,
@ -317,6 +333,7 @@ def test_openai(client: TestClient):
"type": "int",
"list": False,
"advanced": False,
"info": "",
}
assert template["streaming"] == {
"required": False,
@ -329,6 +346,7 @@ def test_openai(client: TestClient):
"type": "bool",
"list": False,
"advanced": False,
"info": "",
}
@ -352,6 +370,7 @@ def test_chat_open_ai(client: TestClient):
"type": "bool",
"list": False,
"advanced": False,
"info": "",
}
assert template["client"] == {
"required": False,
@ -363,13 +382,14 @@ def test_chat_open_ai(client: TestClient):
"type": "Any",
"list": False,
"advanced": False,
"info": "",
}
assert template["model_name"] == {
"required": False,
"placeholder": "",
"show": True,
"multiline": False,
"value": "gpt-3.5-turbo",
"value": "gpt-3.5-turbo-0613",
"password": False,
"options": [
"gpt-3.5-turbo-0613",
@ -385,6 +405,7 @@ def test_chat_open_ai(client: TestClient):
"type": "str",
"list": True,
"advanced": False,
"info": "",
}
assert template["temperature"] == {
"required": False,
@ -397,6 +418,7 @@ def test_chat_open_ai(client: TestClient):
"type": "float",
"list": False,
"advanced": False,
"info": "",
}
assert template["model_kwargs"] == {
"required": False,
@ -408,6 +430,7 @@ def test_chat_open_ai(client: TestClient):
"type": "code",
"list": False,
"advanced": True,
"info": "",
}
assert template["openai_api_key"] == {
"required": False,
@ -421,6 +444,7 @@ def test_chat_open_ai(client: TestClient):
"type": "str",
"list": False,
"advanced": False,
"info": "",
}
assert template["request_timeout"] == {
"required": False,
@ -432,6 +456,7 @@ def test_chat_open_ai(client: TestClient):
"type": "float",
"list": False,
"advanced": False,
"info": "",
}
assert template["max_retries"] == {
"required": False,
@ -444,6 +469,7 @@ def test_chat_open_ai(client: TestClient):
"type": "int",
"list": False,
"advanced": False,
"info": "",
}
assert template["streaming"] == {
"required": False,
@ -456,6 +482,7 @@ def test_chat_open_ai(client: TestClient):
"type": "bool",
"list": False,
"advanced": False,
"info": "",
}
assert template["n"] == {
"required": False,
@ -468,6 +495,7 @@ def test_chat_open_ai(client: TestClient):
"type": "int",
"list": False,
"advanced": False,
"info": "",
}
assert template["max_tokens"] == {
@ -480,6 +508,7 @@ def test_chat_open_ai(client: TestClient):
"type": "int",
"list": False,
"advanced": False,
"info": "",
}
assert template["_type"] == "ChatOpenAI"
assert (

View file

@ -28,6 +28,7 @@ def test_prompt_template(client: TestClient):
"type": "str",
"list": True,
"advanced": False,
"info": "",
}
assert template["output_parser"] == {
"required": False,
@ -39,6 +40,7 @@ def test_prompt_template(client: TestClient):
"type": "BaseOutputParser",
"list": False,
"advanced": False,
"info": "",
}
assert template["partial_variables"] == {
"required": False,
@ -50,6 +52,7 @@ def test_prompt_template(client: TestClient):
"type": "code",
"list": False,
"advanced": False,
"info": "",
}
assert template["template"] == {
"required": True,
@ -61,6 +64,7 @@ def test_prompt_template(client: TestClient):
"type": "prompt",
"list": False,
"advanced": False,
"info": "",
}
assert template["template_format"] == {
"required": False,
@ -73,6 +77,7 @@ def test_prompt_template(client: TestClient):
"type": "str",
"list": False,
"advanced": False,
"info": "",
}
assert template["validate_template"] == {
"required": False,
@ -85,85 +90,7 @@ def test_prompt_template(client: TestClient):
"type": "bool",
"list": False,
"advanced": False,
}
def test_few_shot_prompt_template(client: TestClient):
response = client.get("api/v1/all")
assert response.status_code == 200
json_response = response.json()
prompts = json_response["prompts"]
prompt = prompts["FewShotPromptTemplate"]
template = prompt["template"]
# Test other fields in the template similar to PromptTemplate
assert template["examples"] == {
"required": False,
"placeholder": "",
"show": True,
"multiline": True,
"password": False,
"name": "examples",
"type": "prompt",
"list": True,
"advanced": False,
}
assert template["example_selector"] == {
"required": False,
"placeholder": "",
"show": False,
"multiline": False,
"password": False,
"name": "example_selector",
"type": "BaseExampleSelector",
"list": False,
"advanced": False,
}
assert template["example_prompt"] == {
"required": True,
"placeholder": "",
"show": True,
"multiline": False,
"password": False,
"name": "example_prompt",
"type": "PromptTemplate",
"list": False,
"advanced": False,
}
assert template["suffix"] == {
"required": True,
"placeholder": "",
"show": True,
"multiline": True,
"password": False,
"name": "suffix",
"type": "prompt",
"list": False,
"advanced": False,
}
assert template["example_separator"] == {
"required": False,
"placeholder": "",
"show": False,
"multiline": False,
"value": "\n\n",
"password": False,
"name": "example_separator",
"type": "str",
"list": False,
"advanced": False,
}
assert template["prefix"] == {
"required": False,
"placeholder": "",
"show": True,
"multiline": True,
"value": "",
"password": False,
"name": "prefix",
"type": "prompt",
"list": False,
"advanced": False,
"info": "",
}
@ -185,6 +112,7 @@ def test_zero_shot_prompt(client: TestClient):
"type": "prompt",
"list": False,
"advanced": False,
"info": "",
}
assert template["suffix"] == {
"required": True,
@ -197,6 +125,7 @@ def test_zero_shot_prompt(client: TestClient):
"type": "prompt",
"list": False,
"advanced": False,
"info": "",
}
assert template["format_instructions"] == {
"required": True,
@ -209,4 +138,5 @@ def test_zero_shot_prompt(client: TestClient):
"type": "prompt",
"list": False,
"advanced": False,
"info": "",
}

View file

@ -59,6 +59,7 @@ def test_build_template_from_function():
# Test with valid name
result = build_template_from_function("ExampleClass1", type_to_loader_dict)
assert result is not None
assert "template" in result
assert "description" in result
assert "base_classes" in result
@ -67,6 +68,7 @@ def test_build_template_from_function():
result_with_function = build_template_from_function(
"ExampleClass1", type_to_loader_dict, add_function=True
)
assert result_with_function is not None
assert "function" in result_with_function["base_classes"]
# Test with invalid name
@ -80,6 +82,7 @@ def test_build_template_from_class():
# Test valid input
result = build_template_from_class("Child", type_to_cls_dict)
assert result is not None
assert "template" in result
assert "description" in result
assert "base_classes" in result
@ -222,6 +225,7 @@ def test_format_dict():
"password": False,
"multiline": False,
"options": OPENAI_MODELS,
"value": "text-davinci-003",
},
}
expected_output_openai_chat = {
@ -233,6 +237,7 @@ def test_format_dict():
"password": False,
"multiline": False,
"options": CHAT_OPENAI_MODELS,
"value": "gpt-3.5-turbo-0613",
},
}
assert format_dict(input_dict, "OpenAI") == expected_output_openai