diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index 90966fb38..ab0ccf145 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -15,7 +15,7 @@ // "forwardPorts": [], // Use 'postCreateCommand' to run commands after the container is created. - "postCreateCommand": "make install_frontend && make install_backend", + "postCreateCommand": "make setup_devcontainer", "containerEnv": { "POETRY_VIRTUALENVS_IN_PROJECT": "true" @@ -31,11 +31,13 @@ "sourcery.sourcery", "eamodio.gitlens", "ms-vscode.makefile-tools", - "GitHub.vscode-pull-request-github" + "GitHub.vscode-pull-request-github", + "Codium.codium", + "ms-azuretools.vscode-docker" ] } } // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. // "remoteUser": "root" -} +} \ No newline at end of file diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml index 3ec6881ff..3d8b497b0 100644 --- a/.github/workflows/lint.yml +++ b/.github/workflows/lint.yml @@ -15,7 +15,7 @@ on: - "pyproject.toml" env: - POETRY_VERSION: "1.4.0" + POETRY_VERSION: "1.7.0" jobs: lint: diff --git a/Makefile b/Makefile index 5828e94d2..d5d699fed 100644 --- a/Makefile +++ b/Makefile @@ -49,15 +49,16 @@ run_frontend: cd src/frontend && npm start run_cli: - poetry run langflow run --path src/frontend/build + poetry run langflow --path src/frontend/build run_cli_debug: - poetry run langflow run --path src/frontend/build --log-level debug + poetry run langflow --path src/frontend/build --log-level debug setup_devcontainer: make init make build_frontend - poetry run langflow --path src/frontend/build + @echo 'Run Cli' + make run_cli frontend: @-make install_frontend || (echo "An error occurred while installing frontend dependencies. Attempting to fix." && make install_frontendc) diff --git a/base.Dockerfile b/base.Dockerfile index c76bbbcda..ff3b95ee5 100644 --- a/base.Dockerfile +++ b/base.Dockerfile @@ -23,7 +23,7 @@ ENV PYTHONUNBUFFERED=1 \ \ # poetry # https://python-poetry.org/docs/configuration/#using-environment-variables - POETRY_VERSION=1.5.1 \ + POETRY_VERSION=1.7 \ # make poetry install to this location POETRY_HOME="/opt/poetry" \ # make poetry create the virtual environment in the project's root diff --git a/poetry.lock b/poetry.lock index c9547dd2b..a916cd3a1 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand. 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@validator("imports") + @field_validator("imports") + @classmethod def validate_imports(cls, v): return v or {"errors": []} - @validator("function") + @field_validator("function") + @classmethod def validate_function(cls, v): return v or {"errors": []} diff --git a/src/backend/langflow/api/v1/chat.py b/src/backend/langflow/api/v1/chat.py index e1e588d8f..c43921ebb 100644 --- a/src/backend/langflow/api/v1/chat.py +++ b/src/backend/langflow/api/v1/chat.py @@ -163,6 +163,11 @@ async def stream_build( number_of_nodes = len(graph.nodes) update_build_status(cache_service, flow_id, BuildStatus.IN_PROGRESS) + try: + user_id = cache_service[flow_id]["user_id"] + except KeyError: + logger.debug("No user_id found in cache_service") + user_id = None for i, vertex in enumerate(graph.generator_build(), 1): try: log_dict = { @@ -170,9 +175,9 @@ async def stream_build( } yield str(StreamData(event="log", data=log_dict)) if vertex.is_task: - vertex = try_running_celery_task(vertex) + vertex = try_running_celery_task(vertex, user_id) else: - vertex.build() + vertex.build(user_id=user_id) params = vertex._built_object_repr() valid = True logger.debug(f"Building node {str(vertex.vertex_type)}") @@ -236,7 +241,7 @@ async def stream_build( raise HTTPException(status_code=500, detail=str(exc)) -def try_running_celery_task(vertex): +def try_running_celery_task(vertex, user_id): # Try running the task in celery # and set the task_id to the local vertex # if it fails, run the task locally @@ -248,5 +253,5 @@ def try_running_celery_task(vertex): except Exception as exc: logger.debug(f"Error running task in celery: {exc}") vertex.task_id = None - vertex.build() + vertex.build(user_id=user_id) return vertex diff --git a/src/backend/langflow/api/v1/endpoints.py b/src/backend/langflow/api/v1/endpoints.py index 9b1213c2c..fee1fc367 100644 --- a/src/backend/langflow/api/v1/endpoints.py +++ b/src/backend/langflow/api/v1/endpoints.py @@ -227,6 +227,7 @@ def get_version(): @router.post("/custom_component", status_code=HTTPStatus.OK) async def custom_component( raw_code: CustomComponentCode, + user: User = Depends(get_current_active_user), ): from langflow.interface.types import ( build_langchain_template_custom_component, @@ -235,4 +236,4 @@ async def custom_component( extractor = CustomComponent(code=raw_code.code) extractor.is_check_valid() - return build_langchain_template_custom_component(extractor) + return build_langchain_template_custom_component(extractor, user_id=user.id) diff --git a/src/backend/langflow/api/v1/schemas.py b/src/backend/langflow/api/v1/schemas.py index 37e7d712d..54bd31659 100644 --- a/src/backend/langflow/api/v1/schemas.py +++ b/src/backend/langflow/api/v1/schemas.py @@ -7,7 +7,7 @@ from langflow.services.database.models.flow import FlowCreate, FlowRead from langflow.services.database.models.user import UserRead from langflow.services.database.models.base import orjson_dumps -from pydantic import BaseModel, Field, validator +from pydantic import BaseModel, Field, field_validator class BuildStatus(Enum): @@ -91,7 +91,8 @@ class ChatResponse(ChatMessage): is_bot: bool = True files: list = [] - @validator("type") + @field_validator("type") + @classmethod def validate_message_type(cls, v): if v not in ["start", "stream", "end", "error", "info", "file"]: raise ValueError("type must be start, stream, end, error, info, or file") @@ -109,12 +110,13 @@ class PromptResponse(ChatMessage): class FileResponse(ChatMessage): """File response schema.""" - data: Any + data: Any = None data_type: str type: str = "file" is_bot: bool = True - @validator("data_type") + @field_validator("data_type") + @classmethod def validate_data_type(cls, v): if v not in ["image", "csv"]: raise ValueError("data_type must be image or csv") diff --git a/src/backend/langflow/components/chains/ConversationChain.py b/src/backend/langflow/components/chains/ConversationChain.py new file mode 100644 index 000000000..76e6d8e25 --- /dev/null +++ b/src/backend/langflow/components/chains/ConversationChain.py @@ -0,0 +1,29 @@ +from langflow import CustomComponent +from langchain.chains import ConversationChain +from typing import Optional, Union, Callable +from langflow.field_typing import BaseLanguageModel, BaseMemory, Chain + + +class ConversationChainComponent(CustomComponent): + display_name = "ConversationChain" + description = "Chain to have a conversation and load context from memory." + + def build_config(self): + return { + "prompt": {"display_name": "Prompt"}, + "llm": {"display_name": "LLM"}, + "memory": { + "display_name": "Memory", + "info": "Memory to load context from. If none is provided, a ConversationBufferMemory will be used.", + }, + "code": {"show": False}, + } + + def build( + self, + llm: BaseLanguageModel, + memory: Optional[BaseMemory] = None, + ) -> Union[Chain, Callable]: + if memory is None: + return ConversationChain(llm=llm) + return ConversationChain(llm=llm, memory=memory) diff --git a/src/backend/langflow/components/chains/LLMChain.py b/src/backend/langflow/components/chains/LLMChain.py new file mode 100644 index 000000000..b14eef302 --- /dev/null +++ b/src/backend/langflow/components/chains/LLMChain.py @@ -0,0 +1,30 @@ +from langflow import CustomComponent +from langchain.chains import LLMChain +from typing import Optional, Union, Callable +from langflow.field_typing import ( + BasePromptTemplate, + BaseLanguageModel, + BaseMemory, + Chain, +) + + +class LLMChainComponent(CustomComponent): + display_name = "LLMChain" + description = "Chain to run queries against LLMs" + + def build_config(self): + return { + "prompt": {"display_name": "Prompt"}, + "llm": {"display_name": "LLM"}, + "memory": {"display_name": "Memory"}, + "code": {"show": False}, + } + + def build( + self, + prompt: BasePromptTemplate, + llm: BaseLanguageModel, + memory: Optional[BaseMemory] = None, + ) -> Union[Chain, Callable]: + return LLMChain(prompt=prompt, llm=llm, memory=memory) diff --git a/src/backend/langflow/components/chains/PromptRunner.py b/src/backend/langflow/components/chains/PromptRunner.py index 96a64f6fc..15c2743a0 100644 --- a/src/backend/langflow/components/chains/PromptRunner.py +++ b/src/backend/langflow/components/chains/PromptRunner.py @@ -8,7 +8,7 @@ from langchain.schema import Document class PromptRunner(CustomComponent): display_name: str = "Prompt Runner" description: str = "Run a Chain with the given PromptTemplate" - beta = True + beta: bool = True field_config = { "llm": {"display_name": "LLM"}, "prompt": { diff --git a/src/backend/langflow/components/documentloaders/FileLoader.py b/src/backend/langflow/components/documentloaders/FileLoader.py new file mode 100644 index 000000000..04f43d60b --- /dev/null +++ b/src/backend/langflow/components/documentloaders/FileLoader.py @@ -0,0 +1,232 @@ +from langflow import CustomComponent +from langchain.schema import Document +from typing import Any, Dict, List + +loaders_info: List[Dict[str, Any]] = [ + { + "loader": "AirbyteJSONLoader", + "name": "Airbyte JSON (.jsonl)", + "import": "langchain.document_loaders.AirbyteJSONLoader", + "defaultFor": ["jsonl"], + "allowdTypes": ["jsonl"], + }, + { + "loader": "JSONLoader", + "name": "JSON (.json)", + "import": "langchain.document_loaders.JSONLoader", + "defaultFor": ["json"], + "allowdTypes": ["json"], + }, + { + "loader": "BSHTMLLoader", + "name": "BeautifulSoup4 HTML (.html, .htm)", + "import": "langchain.document_loaders.BSHTMLLoader", + "allowdTypes": ["html", "htm"], + }, + { + "loader": "CSVLoader", + "name": "CSV (.csv)", + "import": "langchain.document_loaders.CSVLoader", + "defaultFor": ["csv"], + "allowdTypes": ["csv"], + }, + { + "loader": "CoNLLULoader", + "name": "CoNLL-U (.conllu)", + "import": "langchain.document_loaders.CoNLLULoader", + "defaultFor": ["conllu"], + "allowdTypes": ["conllu"], + }, + { + "loader": "EverNoteLoader", + "name": "EverNote (.enex)", + "import": "langchain.document_loaders.EverNoteLoader", + "defaultFor": ["enex"], + "allowdTypes": ["enex"], + }, + { + "loader": "FacebookChatLoader", + "name": "Facebook Chat (.json)", + "import": "langchain.document_loaders.FacebookChatLoader", + "allowdTypes": ["json"], + }, + { + "loader": "OutlookMessageLoader", + "name": "Outlook Message (.msg)", + "import": "langchain.document_loaders.OutlookMessageLoader", + "defaultFor": ["msg"], + "allowdTypes": ["msg"], + }, + { + "loader": "PyPDFLoader", + "name": "PyPDF (.pdf)", + "import": "langchain.document_loaders.PyPDFLoader", + "defaultFor": ["pdf"], + "allowdTypes": ["pdf"], + }, + { + "loader": "STRLoader", + "name": "Subtitle (.str)", + "import": "langchain.document_loaders.STRLoader", + "defaultFor": ["str"], + "allowdTypes": ["str"], + }, + { + "loader": "TextLoader", + "name": "Text (.txt)", + "import": "langchain.document_loaders.TextLoader", + "defaultFor": ["txt"], + "allowdTypes": ["txt"], + }, + { + "loader": "UnstructuredEmailLoader", + "name": "Unstructured Email (.eml)", + "import": "langchain.document_loaders.UnstructuredEmailLoader", + "defaultFor": ["eml"], + "allowdTypes": ["eml"], + }, + { + "loader": "UnstructuredHTMLLoader", + "name": "Unstructured HTML (.html, .htm)", + "import": "langchain.document_loaders.UnstructuredHTMLLoader", + "defaultFor": ["html", "htm"], + "allowdTypes": ["html", "htm"], + }, + { + "loader": "UnstructuredMarkdownLoader", + "name": "Unstructured Markdown (.md)", + "import": "langchain.document_loaders.UnstructuredMarkdownLoader", + "defaultFor": ["md"], + "allowdTypes": ["md"], + }, + { + "loader": "UnstructuredPowerPointLoader", + "name": "Unstructured PowerPoint (.pptx)", + "import": "langchain.document_loaders.UnstructuredPowerPointLoader", + "defaultFor": ["pptx"], + "allowdTypes": ["pptx"], + }, + { + "loader": "UnstructuredWordLoader", + "name": "Unstructured Word (.docx)", + "import": "langchain.document_loaders.UnstructuredWordLoader", + "defaultFor": ["docx"], + "allowdTypes": ["docx"], + }, +] + + +class FileLoaderComponent(CustomComponent): + display_name: str = "File Loader" + description: str = "Generic File Loader" + beta = True + + def build_config(self): + loader_options = ["Automatic"] + [ + loader_info["name"] for loader_info in loaders_info + ] + + file_types = [] + suffixes = [] + + for loader_info in loaders_info: + if "allowedTypes" in loader_info: + file_types.extend(loader_info["allowedTypes"]) + suffixes.extend([f".{ext}" for ext in loader_info["allowedTypes"]]) + + return { + "file_path": { + "display_name": "File Path", + "required": True, + "field_type": "file", + "file_types": [ + "json", + "txt", + "csv", + "jsonl", + "html", + "htm", + "conllu", + "enex", + "msg", + "pdf", + "srt", + "eml", + "md", + "pptx", + "docx", + ], + "suffixes": [ + ".json", + ".txt", + ".csv", + ".jsonl", + ".html", + ".htm", + ".conllu", + ".enex", + ".msg", + ".pdf", + ".srt", + ".eml", + ".md", + ".pptx", + ".docx", + ], + # "file_types" : file_types, + # "suffixes": suffixes, + }, + "loader": { + "display_name": "Loader", + "is_list": True, + "required": True, + "options": loader_options, + "value": "Automatic", + }, + "code": {"show": False}, + } + + def build(self, file_path: str, loader: str) -> Document: + file_type = file_path.split(".")[-1] + + # Mapeie o nome do loader selecionado para suas informações + selected_loader_info = None + for loader_info in loaders_info: + if loader_info["name"] == loader: + selected_loader_info = loader_info + break + + if selected_loader_info is None and loader != "Automatic": + raise ValueError(f"Loader {loader} not found in the loader info list") + + if loader == "Automatic": + # Determine o loader automaticamente com base na extensão do arquivo + default_loader_info = None + for info in loaders_info: + if "defaultFor" in info and file_type in info["defaultFor"]: + default_loader_info = info + break + + if default_loader_info is None: + raise ValueError(f"No default loader found for file type: {file_type}") + + selected_loader_info = default_loader_info + if isinstance(selected_loader_info, dict): + loader_import: str = selected_loader_info["import"] + else: + raise ValueError( + f"Loader info for {loader} is not a dict\nLoader info:\n{selected_loader_info}" + ) + module_name, class_name = loader_import.rsplit(".", 1) + + try: + # Importe o loader dinamicamente + loader_module = __import__(module_name, fromlist=[class_name]) + loader_instance = getattr(loader_module, class_name) + except ImportError as e: + raise ValueError( + f"Loader {loader} could not be imported\nLoader info:\n{selected_loader_info}" + ) from e + + result = loader_instance(file_path=file_path) + return result.load() diff --git a/src/backend/langflow/components/documentloaders/UrlLoader.py b/src/backend/langflow/components/documentloaders/UrlLoader.py new file mode 100644 index 000000000..94004e545 --- /dev/null +++ b/src/backend/langflow/components/documentloaders/UrlLoader.py @@ -0,0 +1,62 @@ +from typing import List +from langflow import CustomComponent +from langchain.document_loaders import AZLyricsLoader +from langchain.document_loaders import CollegeConfidentialLoader +from langchain.document_loaders import GitbookLoader +from langchain.document_loaders import HNLoader +from langchain.document_loaders import IFixitLoader +from langchain.document_loaders import IMSDbLoader +from langchain.document_loaders import WebBaseLoader + + +from langchain.schema import Document + + +class UrlLoaderComponent(CustomComponent): + display_name: str = "Url Loader" + description: str = "Generic Url Loader Component" + + def build_config(self): + return { + "web_path": { + "display_name": "Url", + "required": True, + }, + "loader": { + "display_name": "Loader", + "is_list": True, + "required": True, + "options": [ + "AZLyricsLoader", + "CollegeConfidentialLoader", + "GitbookLoader", + "HNLoader", + "IFixitLoader", + "IMSDbLoader", + "WebBaseLoader", + ], + "value": "WebBaseLoader", + }, + "code": {"show": False}, + } + + def build(self, web_path: str, loader: str) -> List[Document]: + if loader == "AZLyricsLoader": + loader_instance = AZLyricsLoader(web_path=web_path) # type: ignore + elif loader == "CollegeConfidentialLoader": + loader_instance = CollegeConfidentialLoader(web_path=web_path) # type: ignore + elif loader == "GitbookLoader": + loader_instance = GitbookLoader(web_page=web_path) # type: ignore + elif loader == "HNLoader": + loader_instance = HNLoader(web_path=web_path) # type: ignore + elif loader == "IFixitLoader": + loader_instance = IFixitLoader(web_path=web_path) # type: ignore + elif loader == "IMSDbLoader": + loader_instance = IMSDbLoader(web_path=web_path) # type: ignore + elif loader == "WebBaseLoader": + loader_instance = WebBaseLoader(web_path=web_path) # type: ignore + + if loader_instance is None: + raise ValueError(f"No loader found for: {web_path}") + + return loader_instance.load() diff --git a/src/backend/langflow/components/documentloaders/__init__.py b/src/backend/langflow/components/documentloaders/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/backend/langflow/components/memories/ZepMemory.py b/src/backend/langflow/components/memories/ZepMemory.py new file mode 100644 index 000000000..d2a4b051c --- /dev/null +++ b/src/backend/langflow/components/memories/ZepMemory.py @@ -0,0 +1,39 @@ +from langchain.memory.zep_memory import ZepMemory +from langflow import CustomComponent +from langchain.schema.memory import BaseMemory + + +class ZepMemoryComponent(CustomComponent): + display_name: str = "Zep Memory" + + def build_config(self): + return { + "zep_api_url": { + "display_name": "Zep API URL", + "value": "http://localhost:8000", + }, + "api_key": { + "password": True, + "display_name": "API Key", + }, + "session_id": { + "display_name": "Session ID", + "info": "The session ID to use for the memory.", + }, + } + + def build( + self, + api_key: str, + session_id: str, + memory_key: str, + return_messages: bool, + zep_api_url: str = "http://localhost:8000", + ) -> BaseMemory: + return ZepMemory( + session_id=session_id, + url=zep_api_url, + api_key=api_key, + memory_key=memory_key, + return_messages=return_messages, + ) diff --git a/src/backend/langflow/components/toolkits/Metaphor.py b/src/backend/langflow/components/toolkits/Metaphor.py index 6f43d24b4..558224190 100644 --- a/src/backend/langflow/components/toolkits/Metaphor.py +++ b/src/backend/langflow/components/toolkits/Metaphor.py @@ -13,7 +13,7 @@ class MetaphorToolkit(CustomComponent): documentation = ( "https://python.langchain.com/docs/integrations/tools/metaphor_search" ) - beta = True + beta: bool = True # api key should be password = True field_config = { "metaphor_api_key": {"display_name": "Metaphor API Key", "password": True}, diff --git a/src/backend/langflow/components/utilities/GetRequest.py b/src/backend/langflow/components/utilities/GetRequest.py index d5df32cca..1417a79c5 100644 --- a/src/backend/langflow/components/utilities/GetRequest.py +++ b/src/backend/langflow/components/utilities/GetRequest.py @@ -10,7 +10,7 @@ class GetRequest(CustomComponent): description: str = "Make a GET request to the given URL." output_types: list[str] = ["Document"] documentation: str = "https://docs.langflow.org/components/utilities#get-request" - beta = True + beta: bool = True field_config = { "url": { "display_name": "URL", diff --git a/src/backend/langflow/components/utilities/JSONDocumentBuilder.py b/src/backend/langflow/components/utilities/JSONDocumentBuilder.py index 26a2afd94..2a166aa4a 100644 --- a/src/backend/langflow/components/utilities/JSONDocumentBuilder.py +++ b/src/backend/langflow/components/utilities/JSONDocumentBuilder.py @@ -20,7 +20,7 @@ class JSONDocumentBuilder(CustomComponent): display_name: str = "JSON Document Builder" description: str = "Build a Document containing a JSON object using a key and another Document page content." output_types: list[str] = ["Document"] - beta = True + beta: bool = True documentation: str = ( "https://docs.langflow.org/components/utilities#json-document-builder" ) diff --git a/src/backend/langflow/components/utilities/PostRequest.py b/src/backend/langflow/components/utilities/PostRequest.py index 6857f4866..fc61618ba 100644 --- a/src/backend/langflow/components/utilities/PostRequest.py +++ b/src/backend/langflow/components/utilities/PostRequest.py @@ -10,7 +10,7 @@ class PostRequest(CustomComponent): description: str = "Make a POST request to the given URL." output_types: list[str] = ["Document"] documentation: str = "https://docs.langflow.org/components/utilities#post-request" - beta = True + beta: bool = True field_config = { "url": {"display_name": "URL", "info": "The URL to make the request to."}, "headers": { diff --git a/src/backend/langflow/components/utilities/UpdateRequest.py b/src/backend/langflow/components/utilities/UpdateRequest.py index d18c94a56..2e0e82b2a 100644 --- a/src/backend/langflow/components/utilities/UpdateRequest.py +++ b/src/backend/langflow/components/utilities/UpdateRequest.py @@ -10,7 +10,7 @@ class UpdateRequest(CustomComponent): description: str = "Make a PATCH request to the given URL." output_types: list[str] = ["Document"] documentation: str = "https://docs.langflow.org/components/utilities#update-request" - beta = True + beta: bool = True field_config = { "url": {"display_name": "URL", "info": "The URL to make the request to."}, "headers": { diff --git a/src/backend/langflow/components/vectorstores/Chroma.py b/src/backend/langflow/components/vectorstores/Chroma.py index c4b353b32..a94c3c0a7 100644 --- a/src/backend/langflow/components/vectorstores/Chroma.py +++ b/src/backend/langflow/components/vectorstores/Chroma.py @@ -17,7 +17,7 @@ class ChromaComponent(CustomComponent): display_name: str = "Chroma" description: str = "Implementation of Vector Store using Chroma" documentation = "https://python.langchain.com/docs/integrations/vectorstores/chroma" - beta = True + beta: bool = True def build_config(self): """ diff --git a/src/backend/langflow/components/vectorstores/Vectara.py b/src/backend/langflow/components/vectorstores/Vectara.py index 6f7fcc0bb..4f0891a2a 100644 --- a/src/backend/langflow/components/vectorstores/Vectara.py +++ b/src/backend/langflow/components/vectorstores/Vectara.py @@ -13,7 +13,7 @@ class VectaraComponent(CustomComponent): documentation = ( "https://python.langchain.com/docs/integrations/vectorstores/vectara" ) - beta = True + beta: bool = True # api key should be password = True field_config = { "vectara_customer_id": {"display_name": "Vectara Customer ID"}, diff --git a/src/backend/langflow/components/vectorstores/pgvector.py b/src/backend/langflow/components/vectorstores/pgvector.py index e57b31a79..eecf4d187 100644 --- a/src/backend/langflow/components/vectorstores/pgvector.py +++ b/src/backend/langflow/components/vectorstores/pgvector.py @@ -1,4 +1,4 @@ -from typing import Optional +from typing import Optional, List from langflow import CustomComponent from langchain.vectorstores.pgvector import PGVector @@ -43,7 +43,7 @@ class PostgresqlVectorComponent(CustomComponent): embedding: Embeddings, pg_server_url: str, collection_name: str, - documents: Optional[Document] = None, + documents: Optional[List[Document]] = None, ) -> VectorStore: """ Builds the Vector Store or BaseRetriever object. @@ -59,6 +59,13 @@ class PostgresqlVectorComponent(CustomComponent): """ try: + if documents is None: + return PGVector.from_existing_index( + embedding=embedding, + collection_name=collection_name, + connection_string=pg_server_url, + ) + return PGVector.from_documents( embedding=embedding, documents=documents, diff --git a/src/backend/langflow/config.yaml b/src/backend/langflow/config.yaml index 31bab1ca8..d234ce8ea 100644 --- a/src/backend/langflow/config.yaml +++ b/src/backend/langflow/config.yaml @@ -14,14 +14,14 @@ agents: SQLAgent: documentation: "" chains: - LLMChain: - documentation: "https://python.langchain.com/docs/modules/chains/foundational/llm_chain" + # 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: "" + # ConversationChain: + # documentation: "" SeriesCharacterChain: documentation: "" MidJourneyPromptChain: diff --git a/src/backend/langflow/field_typing/__init__.py b/src/backend/langflow/field_typing/__init__.py index 9a2161d3f..ceba9fded 100644 --- a/src/backend/langflow/field_typing/__init__.py +++ b/src/backend/langflow/field_typing/__init__.py @@ -17,6 +17,8 @@ from .constants import ( Tool, PromptTemplate, + ChatPromptTemplate, + BasePromptTemplate, Chain, BaseChatMemory, BaseLLM, @@ -31,6 +33,8 @@ from .constants import ( AgentExecutor, NestedDict, Data, + BaseLanguageModel, + Callable, ) __all__ = [ @@ -41,6 +45,7 @@ __all__ = [ "Chain", "BaseChatMemory", "BaseLLM", + "BaseLanguageModel", "BaseLoader", "BaseMemory", "BaseOutputParser", @@ -50,4 +55,7 @@ __all__ = [ "TextSplitter", "Document", "AgentExecutor", + "Callable", + "BasePromptTemplate", + "ChatPromptTemplate", ] diff --git a/src/backend/langflow/field_typing/constants.py b/src/backend/langflow/field_typing/constants.py index 3ce429548..4e508ba61 100644 --- a/src/backend/langflow/field_typing/constants.py +++ b/src/backend/langflow/field_typing/constants.py @@ -1,16 +1,16 @@ from langchain.agents.agent import AgentExecutor from langchain.chains.base import Chain from langchain.document_loaders.base import BaseLoader -from langchain.llms.base import BaseLLM +from langchain.llms.base import BaseLLM, BaseLanguageModel from langchain.memory.chat_memory import BaseChatMemory -from langchain.prompts import PromptTemplate +from langchain.prompts import PromptTemplate, ChatPromptTemplate, BasePromptTemplate from langchain.schema import BaseOutputParser, BaseRetriever, Document from langchain.schema.embeddings import Embeddings from langchain.schema.memory import BaseMemory from langchain.text_splitter import TextSplitter from langchain.tools import Tool from langchain.vectorstores.base import VectorStore -from typing import Union, Dict +from typing import Union, Dict, Callable # Type alias for more complex dicts NestedDict = Dict[str, Union[str, Dict]] @@ -25,7 +25,10 @@ LANGCHAIN_BASE_TYPES = { "AgentExecutor": AgentExecutor, "Tool": Tool, "BaseLLM": BaseLLM, + "BaseLanguageModel": BaseLanguageModel, "PromptTemplate": PromptTemplate, + "ChatPromptTemplate": ChatPromptTemplate, + "BasePromptTemplate": BasePromptTemplate, "BaseLoader": BaseLoader, "Document": Document, "TextSplitter": TextSplitter, @@ -47,4 +50,5 @@ CUSTOM_COMPONENT_SUPPORTED_TYPES = { "dict": dict, "NestedDict": NestedDict, "Data": Data, + "Callable": Callable, } diff --git a/src/backend/langflow/graph/vertex/types.py b/src/backend/langflow/graph/vertex/types.py index 7609982a5..1b63bc062 100644 --- a/src/backend/langflow/graph/vertex/types.py +++ b/src/backend/langflow/graph/vertex/types.py @@ -206,6 +206,10 @@ class ChainVertex(Vertex): ) -> Any: if not self._built or force: # Check if the chain requires a PromptVertex + + # Temporarily remove "code" from the params + self.params.pop("code", None) + for key, value in self.params.items(): if isinstance(value, PromptVertex): # Build the PromptVertex, passing the tools if available diff --git a/src/backend/langflow/interface/agents/base.py b/src/backend/langflow/interface/agents/base.py index 696f5afd0..74f07cd1e 100644 --- a/src/backend/langflow/interface/agents/base.py +++ b/src/backend/langflow/interface/agents/base.py @@ -1,4 +1,4 @@ -from typing import Dict, List, Optional +from typing import ClassVar, Dict, List, Optional from langchain.agents import types @@ -15,7 +15,7 @@ from langflow.utils.util import build_template_from_class, build_template_from_m class AgentCreator(LangChainTypeCreator): type_name: str = "agents" - from_method_nodes = {"ZeroShotAgent": "from_llm_and_tools"} + from_method_nodes: ClassVar[Dict] = {"ZeroShotAgent": "from_llm_and_tools"} @property def frontend_node_class(self) -> type[AgentFrontendNode]: diff --git a/src/backend/langflow/interface/chains/base.py b/src/backend/langflow/interface/chains/base.py index b2d07b7e4..3f324643d 100644 --- a/src/backend/langflow/interface/chains/base.py +++ b/src/backend/langflow/interface/chains/base.py @@ -1,4 +1,4 @@ -from typing import Any, Dict, List, Optional, Type +from typing import Any, ClassVar, Dict, List, Optional, Type from langflow.custom.customs import get_custom_nodes from langflow.interface.base import LangChainTypeCreator @@ -9,7 +9,7 @@ from langflow.template.frontend_node.chains import ChainFrontendNode from loguru import logger from langflow.utils.util import build_template_from_class, build_template_from_method from langchain import chains -from langchain_experimental.sql import SQLDatabaseChain # type: ignore +from langchain_experimental.sql import SQLDatabaseChain # Assuming necessary imports for Field, Template, and FrontendNode classes @@ -22,7 +22,7 @@ class ChainCreator(LangChainTypeCreator): return ChainFrontendNode #! We need to find a better solution for this - from_method_nodes = { + from_method_nodes: ClassVar[Dict] = { "ConversationalRetrievalChain": "from_llm", "LLMCheckerChain": "from_llm", "SQLDatabaseChain": "from_llm", diff --git a/src/backend/langflow/interface/chains/custom.py b/src/backend/langflow/interface/chains/custom.py index 01dd9bab0..edc8a06c0 100644 --- a/src/backend/langflow/interface/chains/custom.py +++ b/src/backend/langflow/interface/chains/custom.py @@ -4,7 +4,7 @@ from langchain.chains import ConversationChain from langchain.memory.buffer import ConversationBufferMemory from langchain.schema import BaseMemory from langflow.interface.base import CustomChain -from pydantic import Field, root_validator +from pydantic.v1 import Field, root_validator from langchain.chains.question_answering import load_qa_chain from langflow.interface.utils import extract_input_variables_from_prompt from langchain.base_language import BaseLanguageModel diff --git a/src/backend/langflow/interface/custom/component.py b/src/backend/langflow/interface/custom/component.py index 06db5bd46..2e88b1f26 100644 --- a/src/backend/langflow/interface/custom/component.py +++ b/src/backend/langflow/interface/custom/component.py @@ -1,6 +1,5 @@ import ast -from typing import Any, Optional -from pydantic import BaseModel +from typing import Any, ClassVar, Optional from fastapi import HTTPException from langflow.utils import validate @@ -15,18 +14,19 @@ class ComponentFunctionEntrypointNameNullError(HTTPException): pass -class Component(BaseModel): - ERROR_CODE_NULL = "Python code must be provided." - ERROR_FUNCTION_ENTRYPOINT_NAME_NULL = ( - "The name of the entrypoint function must be provided." - ) +class Component: + ERROR_CODE_NULL: ClassVar[str] = "Python code must be provided." + ERROR_FUNCTION_ENTRYPOINT_NAME_NULL: ClassVar[ + str + ] = "The name of the entrypoint function must be provided." - code: Optional[str] - function_entrypoint_name = "build" + code: Optional[str] = None + _function_entrypoint_name: str = "build" field_config: dict = {} def __init__(self, **data): - super().__init__(**data) + for key, value in data.items(): + setattr(self, key, value) def get_code_tree(self, code: str): parser = CodeParser(code) @@ -39,7 +39,7 @@ class Component(BaseModel): detail={"error": self.ERROR_CODE_NULL, "traceback": ""}, ) - if not self.function_entrypoint_name: + if not self._function_entrypoint_name: raise ComponentFunctionEntrypointNameNullError( status_code=400, detail={ @@ -48,7 +48,7 @@ class Component(BaseModel): }, ) - return validate.create_function(self.code, self.function_entrypoint_name) + return validate.create_function(self.code, self._function_entrypoint_name) def build_template_config(self, attributes) -> dict: template_config = {} diff --git a/src/backend/langflow/interface/custom/custom_component.py b/src/backend/langflow/interface/custom/custom_component.py index 4b889e77b..b1066eab0 100644 --- a/src/backend/langflow/interface/custom/custom_component.py +++ b/src/backend/langflow/interface/custom/custom_component.py @@ -1,27 +1,28 @@ -from typing import Any, Callable, List, Optional, Union +from typing import Any, Callable, ClassVar, List, Optional, Union from uuid import UUID from fastapi import HTTPException from langflow.field_typing.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES from langflow.interface.custom.component import Component from langflow.interface.custom.directory_reader import DirectoryReader from langflow.services.getters import get_db_service -from langflow.interface.custom.utils import extract_inner_type +from langflow.interface.custom.utils import extract_inner_type, extract_union_types from langflow.utils import validate from langflow.services.database.utils import session_getter from langflow.services.database.models.flow import Flow -from pydantic import Extra import yaml -class CustomComponent(Component, extra=Extra.allow): - code: Optional[str] +class CustomComponent(Component): + display_name: Optional[str] = "Custom Component" + description: Optional[str] = "Custom Component" + code: Optional[str] = None field_config: dict = {} - code_class_base_inheritance = "CustomComponent" - function_entrypoint_name = "build" + code_class_base_inheritance: ClassVar[str] = "CustomComponent" + function_entrypoint_name: ClassVar[str] = "build" function: Optional[Callable] = None - return_type_valid_list = list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys()) + return_type_valid_list: List[str] = list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys()) repr_value: Optional[Any] = "" user_id: Optional[Union[UUID, str]] = None @@ -151,9 +152,7 @@ class CustomComponent(Component, extra=Extra.allow): return [return_type] if return_type in self.return_type_valid_list else [] # If the return type is a Union, then we need to parse it - return_type = return_type.replace("Union", "").replace("[", "").replace("]", "") - return_type = return_type.split(",") - return_type = [item.strip() for item in return_type] + return_type = extract_union_types(return_type) return [item for item in return_type if item in self.return_type_valid_list] @property @@ -202,7 +201,7 @@ class CustomComponent(Component, extra=Extra.allow): raise ValueError(f"Flow {flow_id} not found") if tweaks: graph_data = process_tweaks(graph_data=graph_data, tweaks=tweaks) - return build_sorted_vertices(graph_data) + return build_sorted_vertices(graph_data, self.user_id) def list_flows(self, *, get_session: Optional[Callable] = None) -> List[Flow]: if not self.user_id: diff --git a/src/backend/langflow/interface/custom/schema.py b/src/backend/langflow/interface/custom/schema.py index 80d65405f..418309cee 100644 --- a/src/backend/langflow/interface/custom/schema.py +++ b/src/backend/langflow/interface/custom/schema.py @@ -10,7 +10,7 @@ class ClassCodeDetails(BaseModel): """ name: str - doc: Optional[str] + doc: Optional[str] = None bases: list attributes: list methods: list @@ -23,7 +23,7 @@ class CallableCodeDetails(BaseModel): """ name: str - doc: Optional[str] + doc: Optional[str] = None args: list body: list - return_type: Optional[str] + return_type: Optional[str] = None diff --git a/src/backend/langflow/interface/custom/utils.py b/src/backend/langflow/interface/custom/utils.py index 99b0d4bc6..700b98b53 100644 --- a/src/backend/langflow/interface/custom/utils.py +++ b/src/backend/langflow/interface/custom/utils.py @@ -8,3 +8,14 @@ def extract_inner_type(return_type: str) -> str: if match := re.match(r"list\[(.*)\]", return_type, re.IGNORECASE): return match[1] return return_type + + +def extract_union_types(return_type: str) -> list[str]: + """ + Extracts the inner type from a type hint that is a list. + """ + # If the return type is a Union, then we need to parse it + return_type = return_type.replace("Union", "").replace("[", "").replace("]", "") + return_types = return_type.split(",") + return_types = [item.strip() for item in return_types] + return return_types diff --git a/src/backend/langflow/interface/initialize/loading.py b/src/backend/langflow/interface/initialize/loading.py index 4492cca1b..24a551ff7 100644 --- a/src/backend/langflow/interface/initialize/loading.py +++ b/src/backend/langflow/interface/initialize/loading.py @@ -293,7 +293,7 @@ def instantiate_embedding(node_type, class_object, params: Dict): params = { key: value for key, value in params.items() - if key in class_object.__fields__ + if key in class_object.model_fields } return class_object(**params) diff --git a/src/backend/langflow/interface/initialize/vector_store.py b/src/backend/langflow/interface/initialize/vector_store.py index 59e7c0d3b..0e9b573a4 100644 --- a/src/backend/langflow/interface/initialize/vector_store.py +++ b/src/backend/langflow/interface/initialize/vector_store.py @@ -196,7 +196,7 @@ def initialize_chroma(class_object: Type[Chroma], params: dict): params.pop("documents", None) params.pop("texts", None) params["embedding_function"] = params.pop("embedding") - chromadb = class_object(**params) + chromadb_instance = class_object(**params) else: if "texts" in params: params["documents"] = params.pop("texts") @@ -211,10 +211,10 @@ def initialize_chroma(class_object: Type[Chroma], params: dict): if value is None: doc.metadata[key] = "" - chromadb = class_object.from_documents(**params) + chromadb_instance = class_object.from_documents(**params) if persist: - chromadb.persist() - return chromadb + chromadb_instance.persist() + return chromadb_instance def initialize_qdrant(class_object: Type[Qdrant], params: dict): diff --git a/src/backend/langflow/interface/memories/base.py b/src/backend/langflow/interface/memories/base.py index 3f3658304..140c53666 100644 --- a/src/backend/langflow/interface/memories/base.py +++ b/src/backend/langflow/interface/memories/base.py @@ -1,4 +1,4 @@ -from typing import Dict, List, Optional, Type +from typing import ClassVar, Dict, List, Optional, Type from langflow.interface.base import LangChainTypeCreator from langflow.interface.custom_lists import memory_type_to_cls_dict @@ -14,7 +14,7 @@ from langflow.custom.customs import get_custom_nodes class MemoryCreator(LangChainTypeCreator): type_name: str = "memories" - from_method_nodes = { + from_method_nodes: ClassVar[Dict] = { "ZepChatMessageHistory": "__init__", "SQLiteEntityStore": "__init__", } diff --git a/src/backend/langflow/interface/output_parsers/base.py b/src/backend/langflow/interface/output_parsers/base.py index 06dfdf4eb..39269c2b4 100644 --- a/src/backend/langflow/interface/output_parsers/base.py +++ b/src/backend/langflow/interface/output_parsers/base.py @@ -1,4 +1,4 @@ -from typing import Dict, List, Optional, Type +from typing import ClassVar, Dict, List, Optional, Type from langchain import output_parsers @@ -13,7 +13,7 @@ from langflow.utils.util import build_template_from_class, build_template_from_m class OutputParserCreator(LangChainTypeCreator): type_name: str = "output_parsers" - from_method_nodes = { + from_method_nodes: ClassVar[Dict] = { "StructuredOutputParser": "from_response_schemas", } diff --git a/src/backend/langflow/interface/prompts/custom.py b/src/backend/langflow/interface/prompts/custom.py index ef16f1474..eb6731cf5 100644 --- a/src/backend/langflow/interface/prompts/custom.py +++ b/src/backend/langflow/interface/prompts/custom.py @@ -1,7 +1,7 @@ from typing import Dict, List, Optional, Type from langchain.prompts import PromptTemplate -from pydantic import root_validator +from pydantic.v1 import root_validator from langflow.interface.utils import extract_input_variables_from_prompt diff --git a/src/backend/langflow/interface/retrievers/base.py b/src/backend/langflow/interface/retrievers/base.py index 4ee40e659..44d3ad692 100644 --- a/src/backend/langflow/interface/retrievers/base.py +++ b/src/backend/langflow/interface/retrievers/base.py @@ -1,4 +1,4 @@ -from typing import Any, Dict, List, Optional, Type +from typing import Any, ClassVar, Dict, List, Optional, Type from langchain import retrievers @@ -14,7 +14,10 @@ from langflow.utils.util import build_template_from_method, build_template_from_ class RetrieverCreator(LangChainTypeCreator): type_name: str = "retrievers" - from_method_nodes = {"MultiQueryRetriever": "from_llm", "ZepRetriever": "__init__"} + from_method_nodes: ClassVar[Dict] = { + "MultiQueryRetriever": "from_llm", + "ZepRetriever": "__init__", + } @property def frontend_node_class(self) -> Type[RetrieverFrontendNode]: diff --git a/src/backend/langflow/interface/run.py b/src/backend/langflow/interface/run.py index 63391204a..b482f8c50 100644 --- a/src/backend/langflow/interface/run.py +++ b/src/backend/langflow/interface/run.py @@ -1,9 +1,12 @@ -from typing import Dict, Tuple +from typing import Dict, Tuple, Optional, Union from langflow.graph import Graph from loguru import logger +from uuid import UUID -def build_sorted_vertices(data_graph) -> Tuple[Graph, Dict]: +def build_sorted_vertices( + data_graph, user_id: Optional[Union[str, UUID]] = None +) -> Tuple[Graph, Dict]: """ Build langchain object from data_graph. """ @@ -13,7 +16,7 @@ def build_sorted_vertices(data_graph) -> Tuple[Graph, Dict]: sorted_vertices = graph.topological_sort() artifacts = {} for vertex in sorted_vertices: - vertex.build() + vertex.build(user_id=user_id) if vertex.artifacts: artifacts.update(vertex.artifacts) return graph, artifacts diff --git a/src/backend/langflow/interface/tools/base.py b/src/backend/langflow/interface/tools/base.py index a99025ff7..e74d49384 100644 --- a/src/backend/langflow/interface/tools/base.py +++ b/src/backend/langflow/interface/tools/base.py @@ -21,6 +21,7 @@ from langflow.template.field.base import TemplateField from langflow.template.template.base import Template from langflow.utils import util from langflow.utils.util import build_template_from_class +from langflow.utils.logger import logger TOOL_INPUTS = { "str": TemplateField( @@ -35,7 +36,7 @@ TOOL_INPUTS = { field_type="BaseLanguageModel", required=True, is_list=False, show=True ), "func": TemplateField( - field_type="function", + field_type="Callable", required=True, is_list=False, show=True, @@ -72,7 +73,11 @@ class ToolCreator(LangChainTypeCreator): all_tools = {} for tool, tool_fcn in ALL_TOOLS_NAMES.items(): - tool_params = get_tool_params(tool_fcn) + try: + tool_params = get_tool_params(tool_fcn) + except Exception: + logger.error(f"Error getting params for tool {tool}") + continue tool_name = tool_params.get("name") or tool @@ -121,7 +126,7 @@ class ToolCreator(LangChainTypeCreator): elif tool_type in CUSTOM_TOOLS: # Get custom tool params params = self.type_to_loader_dict[name]["params"] # type: ignore - base_classes = ["function"] + base_classes = ["Callable"] if node := customs.get_custom_nodes("tools").get(tool_type): return node elif tool_type in FILE_TOOLS: @@ -131,10 +136,15 @@ class ToolCreator(LangChainTypeCreator): tool_dict = build_template_from_class(tool_type, OTHER_TOOLS) fields = tool_dict["template"] + # _type is the only key in fields + # return None + if len(fields) == 1 and "_type" in fields: + return None + # Pop unnecessary fields and add name fields.pop("_type") # type: ignore - fields.pop("return_direct") # type: ignore - fields.pop("verbose") # type: ignore + fields.pop("return_direct", None) # type: ignore + fields.pop("verbose", None) # type: ignore tool_params = { "name": fields.pop("name")["value"], # type: ignore diff --git a/src/backend/langflow/interface/tools/custom.py b/src/backend/langflow/interface/tools/custom.py index 321298e34..73f5842df 100644 --- a/src/backend/langflow/interface/tools/custom.py +++ b/src/backend/langflow/interface/tools/custom.py @@ -1,7 +1,7 @@ from typing import Callable, Optional from langflow.interface.importing.utils import get_function -from pydantic import BaseModel, validator +from pydantic.v1 import BaseModel, validator from langflow.utils import validate from langchain.agents.tools import Tool diff --git a/src/backend/langflow/interface/types.py b/src/backend/langflow/interface/types.py index 0046c84fb..e48255de9 100644 --- a/src/backend/langflow/interface/types.py +++ b/src/backend/langflow/interface/types.py @@ -1,6 +1,7 @@ import ast import contextlib -from typing import Any, List +from typing import Any, List, Union, Optional +from uuid import UUID from langflow.api.utils import get_new_key from langflow.interface.agents.base import agent_creator from langflow.interface.chains.base import chain_creator @@ -208,7 +209,9 @@ def update_attributes(frontend_node, template_config): frontend_node[attribute] = template_config[attribute] -def build_field_config(custom_component: CustomComponent): +def build_field_config( + custom_component: CustomComponent, user_id: Optional[Union[str, UUID]] = None +): """Build the field configuration for a custom component""" try: @@ -218,7 +221,7 @@ def build_field_config(custom_component: CustomComponent): return {} try: - return custom_class().build_config() + return custom_class(user_id=user_id).build_config() except Exception as exc: logger.error(f"Error while building field config: {str(exc)}") return {} @@ -306,7 +309,9 @@ def add_output_types(frontend_node, return_types: List[str]): frontend_node.get("output_types").append(return_type) -def build_langchain_template_custom_component(custom_component: CustomComponent): +def build_langchain_template_custom_component( + custom_component: CustomComponent, user_id: Optional[Union[str, UUID]] = None +): """Build a custom component template for the langchain""" try: logger.debug("Building custom component template") @@ -319,7 +324,7 @@ def build_langchain_template_custom_component(custom_component: CustomComponent) update_attributes(frontend_node, template_config) logger.debug("Updated attributes") - field_config = build_field_config(custom_component) + field_config = build_field_config(custom_component, user_id=user_id) logger.debug("Built field config") entrypoint_args = custom_component.get_function_entrypoint_args diff --git a/src/backend/langflow/interface/utilities/base.py b/src/backend/langflow/interface/utilities/base.py index bfc7cb11e..a404417dc 100644 --- a/src/backend/langflow/interface/utilities/base.py +++ b/src/backend/langflow/interface/utilities/base.py @@ -28,10 +28,14 @@ class UtilityCreator(LangChainTypeCreator): """ if self.type_dict is None: settings_service = get_settings_service() - self.type_dict = { - utility_name: import_class(f"langchain.utilities.{utility_name}") - for utility_name in utilities.__all__ - } + self.type_dict = {} + for utility_name in utilities.__all__: + try: + imported = import_class(f"langchain.utilities.{utility_name}") + self.type_dict[utility_name] = imported + except Exception: + pass + self.type_dict["SQLDatabase"] = utilities.SQLDatabase # Filter according to settings.utilities self.type_dict = { diff --git a/src/backend/langflow/interface/wrappers/base.py b/src/backend/langflow/interface/wrappers/base.py index de631101a..e0e762e99 100644 --- a/src/backend/langflow/interface/wrappers/base.py +++ b/src/backend/langflow/interface/wrappers/base.py @@ -1,4 +1,4 @@ -from typing import Dict, List, Optional +from typing import ClassVar, Dict, List, Optional from langchain.utilities import requests, sql_database @@ -10,7 +10,7 @@ from langflow.utils.util import build_template_from_class, build_template_from_m class WrapperCreator(LangChainTypeCreator): type_name: str = "wrappers" - from_method_nodes = {"SQLDatabase": "from_uri"} + from_method_nodes: ClassVar[Dict] = {"SQLDatabase": "from_uri"} @property def type_to_loader_dict(self) -> Dict: diff --git a/src/backend/langflow/services/database/manager.py b/src/backend/langflow/services/database/manager.py index 7465c804f..ce5de7095 100644 --- a/src/backend/langflow/services/database/manager.py +++ b/src/backend/langflow/services/database/manager.py @@ -94,7 +94,7 @@ class DatabaseService(Service): legacy_tables = ["flowstyle"] for table, model in model_mapping.items(): - expected_columns = list(model.__fields__.keys()) + expected_columns = list(model.model_fields.keys()) try: available_columns = [ diff --git a/src/backend/langflow/services/database/models/base.py b/src/backend/langflow/services/database/models/base.py index a70999206..9dff68c19 100644 --- a/src/backend/langflow/services/database/models/base.py +++ b/src/backend/langflow/services/database/models/base.py @@ -19,7 +19,6 @@ def orjson_dumps(v, *, default=None, sort_keys=False, indent_2=True): class SQLModelSerializable(SQLModel): - class Config: - orm_mode = True - json_loads = orjson.loads - json_dumps = orjson_dumps + # TODO[pydantic]: The following keys were removed: `json_loads`, `json_dumps`. + # Check https://docs.pydantic.dev/dev-v2/migration/#changes-to-config for more information. + pass diff --git a/src/backend/langflow/services/database/models/flow/flow.py b/src/backend/langflow/services/database/models/flow/flow.py index e578f37c4..b544766d8 100644 --- a/src/backend/langflow/services/database/models/flow/flow.py +++ b/src/backend/langflow/services/database/models/flow/flow.py @@ -1,7 +1,7 @@ # Path: src/backend/langflow/database/models/flow.py from langflow.services.database.models.base import SQLModelSerializable -from pydantic import validator +from pydantic import field_validator from sqlmodel import Field, JSON, Column, Relationship from uuid import UUID, uuid4 @@ -13,10 +13,10 @@ if TYPE_CHECKING: class FlowBase(SQLModelSerializable): name: str = Field(index=True) - description: Optional[str] = Field(index=True) + description: Optional[str] = Field(index=True, nullable=True, default=None) data: Optional[Dict] = Field(default=None, nullable=True) - @validator("data") + @field_validator("data") def validate_json(v): if not v: return v diff --git a/src/backend/langflow/services/database/models/user/crud.py b/src/backend/langflow/services/database/models/user/crud.py index 36f03e684..6f0e019f6 100644 --- a/src/backend/langflow/services/database/models/user/crud.py +++ b/src/backend/langflow/services/database/models/user/crud.py @@ -54,6 +54,9 @@ def update_user( def update_user_last_login_at(user_id: UUID, db: Session = Depends(get_session)): - user_data = UserUpdate(last_login_at=datetime.now(timezone.utc)) # type: ignore - user = get_user_by_id(db, user_id) - return update_user(user, user_data, db) + try: + user_data = UserUpdate(last_login_at=datetime.now(timezone.utc)) # type: ignore + user = get_user_by_id(db, user_id) + return update_user(user, user_data, db) + except Exception: + pass diff --git a/src/backend/langflow/services/database/models/user/user.py b/src/backend/langflow/services/database/models/user/user.py index b1f514531..f3248736e 100644 --- a/src/backend/langflow/services/database/models/user/user.py +++ b/src/backend/langflow/services/database/models/user/user.py @@ -20,7 +20,7 @@ class User(SQLModelSerializable, table=True): is_superuser: bool = Field(default=False) create_at: datetime = Field(default_factory=datetime.utcnow) updated_at: datetime = Field(default_factory=datetime.utcnow) - last_login_at: Optional[datetime] = Field() + last_login_at: Optional[datetime] = Field(nullable=True) api_keys: list["ApiKey"] = Relationship( back_populates="user", sa_relationship_kwargs={"cascade": "delete"}, @@ -41,13 +41,13 @@ class UserRead(SQLModel): is_superuser: bool = Field() create_at: datetime = Field() updated_at: datetime = Field() - last_login_at: Optional[datetime] = Field() + last_login_at: Optional[datetime] = Field(nullable=True) class UserUpdate(SQLModel): - username: Optional[str] = Field() - profile_image: Optional[str] = Field() - password: Optional[str] = Field() - is_active: Optional[bool] = Field() - is_superuser: Optional[bool] = Field() - last_login_at: Optional[datetime] = Field() + username: Optional[str] = None + profile_image: Optional[str] = None + password: Optional[str] = None + is_active: Optional[bool] = None + is_superuser: Optional[bool] = None + last_login_at: Optional[datetime] = None diff --git a/src/backend/langflow/services/settings/auth.py b/src/backend/langflow/services/settings/auth.py index 7ac7461a0..08553186e 100644 --- a/src/backend/langflow/services/settings/auth.py +++ b/src/backend/langflow/services/settings/auth.py @@ -1,16 +1,18 @@ +import secrets from pathlib import Path from typing import Optional -import secrets + +from loguru import logger +from passlib.context import CryptContext +from pydantic import Field, validator +from pydantic_settings import BaseSettings + from langflow.services.settings.constants import ( DEFAULT_SUPERUSER, DEFAULT_SUPERUSER_PASSWORD, ) from langflow.services.settings.utils import read_secret_from_file, write_secret_to_file -from pydantic import BaseSettings, Field, validator -from passlib.context import CryptContext -from loguru import logger - class AuthSettings(BaseSettings): # Login settings @@ -18,8 +20,7 @@ class AuthSettings(BaseSettings): SECRET_KEY: str = Field( default="", description="Secret key for JWT. If not provided, a random one will be generated.", - env="LANGFLOW_SECRET_KEY", - allow_mutation=False, + frozen=False, ) ALGORITHM: str = "HS256" ACCESS_TOKEN_EXPIRE_MINUTES: int = 60 @@ -39,7 +40,7 @@ class AuthSettings(BaseSettings): SUPERUSER: str = DEFAULT_SUPERUSER SUPERUSER_PASSWORD: str = DEFAULT_SUPERUSER_PASSWORD - pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto") + pwd_context: CryptContext = CryptContext(schemes=["bcrypt"], deprecated="auto") class Config: validate_assignment = True diff --git a/src/backend/langflow/services/settings/base.py b/src/backend/langflow/services/settings/base.py index 7ca3c3e4b..053c45afd 100644 --- a/src/backend/langflow/services/settings/base.py +++ b/src/backend/langflow/services/settings/base.py @@ -7,7 +7,8 @@ from typing import Optional, List from pathlib import Path import yaml -from pydantic import BaseSettings, root_validator, validator +from pydantic import field_validator, validator +from pydantic_settings import BaseSettings, SettingsConfigDict from loguru import logger # BASE_COMPONENTS_PATH = str(Path(__file__).parent / "components") @@ -111,7 +112,7 @@ class Settings(BaseSettings): return value - @validator("COMPONENTS_PATH", pre=True) + @field_validator("COMPONENTS_PATH", mode="before") def set_components_path(cls, value): if os.getenv("LANGFLOW_COMPONENTS_PATH"): logger.debug("Adding LANGFLOW_COMPONENTS_PATH to components_path") @@ -143,17 +144,17 @@ class Settings(BaseSettings): logger.debug(f"Components path: {value}") return value - class Config: - validate_assignment = True - extra = "ignore" - env_prefix = "LANGFLOW_" + model_config = SettingsConfigDict( + validate_assignment=True, extra="ignore", env_prefix="LANGFLOW_" + ) - @root_validator(allow_reuse=True) - def validate_lists(cls, values): - for key, value in values.items(): - if key != "dev" and not value: - values[key] = [] - return values + # @model_validator() + # @classmethod + # def validate_lists(cls, values): + # for key, value in values.items(): + # if key != "dev" and not value: + # values[key] = [] + # return values def update_from_yaml(self, file_path: str, dev: bool = False): new_settings = load_settings_from_yaml(file_path) @@ -227,7 +228,7 @@ def load_settings_from_yaml(file_path: str) -> Settings: settings_dict = {k.upper(): v for k, v in settings_dict.items()} for key in settings_dict: - if key not in Settings.__fields__.keys(): + if key not in Settings.model_fields.keys(): raise KeyError(f"Key {key} not found in settings") logger.debug(f"Loading {len(settings_dict[key])} {key} from {file_path}") diff --git a/src/backend/langflow/services/settings/manager.py b/src/backend/langflow/services/settings/manager.py index cdededcea..40bf396f0 100644 --- a/src/backend/langflow/services/settings/manager.py +++ b/src/backend/langflow/services/settings/manager.py @@ -28,7 +28,7 @@ class SettingsService(Service): settings_dict = {k.upper(): v for k, v in settings_dict.items()} for key in settings_dict: - if key not in Settings.__fields__.keys(): + if key not in Settings.model_fields.keys(): raise KeyError(f"Key {key} not found in settings") logger.debug( f"Loading {len(settings_dict[key])} {key} from {file_path}" diff --git a/src/backend/langflow/settings.py b/src/backend/langflow/settings.py new file mode 100644 index 000000000..6b6e81baf --- /dev/null +++ b/src/backend/langflow/settings.py @@ -0,0 +1,177 @@ +import contextlib +import json +import os +from typing import Optional, List +from pathlib import Path + +import yaml +from pydantic import validator, model_validator +from pydantic_settings import BaseSettings +from langflow.utils.logger import logger + +BASE_COMPONENTS_PATH = str(Path(__file__).parent / "components") + + +class Settings(BaseSettings): + CHAINS: dict = {} + AGENTS: dict = {} + PROMPTS: dict = {} + LLMS: dict = {} + TOOLS: dict = {} + MEMORIES: dict = {} + EMBEDDINGS: dict = {} + VECTORSTORES: dict = {} + DOCUMENTLOADERS: dict = {} + WRAPPERS: dict = {} + RETRIEVERS: dict = {} + TOOLKITS: dict = {} + TEXTSPLITTERS: dict = {} + UTILITIES: dict = {} + OUTPUT_PARSERS: dict = {} + CUSTOM_COMPONENTS: dict = {} + + DEV: bool = False + DATABASE_URL: Optional[str] = None + CACHE: str = "InMemoryCache" + REMOVE_API_KEYS: bool = False + COMPONENTS_PATH: List[str] = [] + + @validator("DATABASE_URL", pre=True) + def set_database_url(cls, value): + if not value: + logger.debug( + "No database_url provided, trying LANGFLOW_DATABASE_URL env variable" + ) + if langflow_database_url := os.getenv("LANGFLOW_DATABASE_URL"): + value = langflow_database_url + logger.debug("Using LANGFLOW_DATABASE_URL env variable.") + else: + logger.debug("No DATABASE_URL env variable, using sqlite database") + value = "sqlite:///./langflow.db" + + return value + + @validator("COMPONENTS_PATH", pre=True) + def set_components_path(cls, value): + if os.getenv("LANGFLOW_COMPONENTS_PATH"): + logger.debug("Adding LANGFLOW_COMPONENTS_PATH to components_path") + langflow_component_path = os.getenv("LANGFLOW_COMPONENTS_PATH") + if ( + Path(langflow_component_path).exists() + and langflow_component_path not in value + ): + if isinstance(langflow_component_path, list): + for path in langflow_component_path: + if path not in value: + value.append(path) + logger.debug( + f"Extending {langflow_component_path} to components_path" + ) + elif langflow_component_path not in value: + value.append(langflow_component_path) + logger.debug( + f"Appending {langflow_component_path} to components_path" + ) + + if not value: + value = [BASE_COMPONENTS_PATH] + logger.debug("Setting default components path to components_path") + elif BASE_COMPONENTS_PATH not in value: + value.append(BASE_COMPONENTS_PATH) + logger.debug("Adding default components path to components_path") + + logger.debug(f"Components path: {value}") + return value + + class Config: + validate_assignment = True + extra = "ignore" + env_prefix = "LANGFLOW_" + + @model_validator(mode="after") + def validate_lists(cls, values): + for key, value in values.items(): + if key != "dev" and not value: + values[key] = [] + return values + + 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.EMBEDDINGS = new_settings.EMBEDDINGS or {} + self.VECTORSTORES = new_settings.VECTORSTORES or {} + self.DOCUMENTLOADERS = new_settings.DOCUMENTLOADERS or {} + self.RETRIEVERS = new_settings.RETRIEVERS or {} + self.OUTPUT_PARSERS = new_settings.OUTPUT_PARSERS or {} + self.CUSTOM_COMPONENTS = new_settings.CUSTOM_COMPONENTS or {} + self.COMPONENTS_PATH = new_settings.COMPONENTS_PATH or [] + self.DEV = dev + + def update_settings(self, **kwargs): + logger.debug("Updating settings") + for key, value in kwargs.items(): + # value may contain sensitive information, so we don't want to log it + if not hasattr(self, key): + logger.debug(f"Key {key} not found in settings") + continue + logger.debug(f"Updating {key}") + if isinstance(getattr(self, key), list): + # value might be a '[something]' string + with contextlib.suppress(json.decoder.JSONDecodeError): + value = json.loads(str(value)) + if isinstance(value, list): + for item in value: + if isinstance(item, Path): + item = str(item) + if item not in getattr(self, key): + getattr(self, key).append(item) + logger.debug(f"Extended {key}") + else: + if isinstance(value, Path): + value = str(value) + if value not in getattr(self, key): + getattr(self, key).append(value) + logger.debug(f"Appended {key}") + + else: + setattr(self, key, value) + logger.debug(f"Updated {key}") + logger.debug(f"{key}: {getattr(self, key)}") + + +def save_settings_to_yaml(settings: Settings, file_path: str): + with open(file_path, "w") as f: + settings_dict = settings.dict() + yaml.dump(settings_dict, f) + + +def load_settings_from_yaml(file_path: str) -> Settings: + # Check if a string is a valid path or a file name + if "/" not in file_path: + # Get current path + current_path = os.path.dirname(os.path.abspath(__file__)) + + file_path = os.path.join(current_path, file_path) + + with open(file_path, "r") as f: + settings_dict = yaml.safe_load(f) + settings_dict = {k.upper(): v for k, v in settings_dict.items()} + + for key in settings_dict: + if key not in Settings.model_fields.keys(): + raise KeyError(f"Key {key} not found in settings") + logger.debug(f"Loading {len(settings_dict[key])} {key} from {file_path}") + + return Settings(**settings_dict) + + +settings = load_settings_from_yaml("config.yaml") diff --git a/src/backend/langflow/template/frontend_node/agents.py b/src/backend/langflow/template/frontend_node/agents.py index b3f9b4545..1d9d44aaa 100644 --- a/src/backend/langflow/template/frontend_node/agents.py +++ b/src/backend/langflow/template/frontend_node/agents.py @@ -206,7 +206,7 @@ class InitializeAgentNode(FrontendNode): ], ) description: str = """Construct a zero shot agent from an LLM and tools.""" - base_classes: list[str] = ["AgentExecutor", "function"] + base_classes: list[str] = ["AgentExecutor", "Callable"] def to_dict(self): return super().to_dict() diff --git a/src/backend/langflow/template/frontend_node/base.py b/src/backend/langflow/template/frontend_node/base.py index 4f8b6ad7e..4b1c151a3 100644 --- a/src/backend/langflow/template/frontend_node/base.py +++ b/src/backend/langflow/template/frontend_node/base.py @@ -1,6 +1,6 @@ from collections import defaultdict import re -from typing import List, Optional +from typing import ClassVar, DefaultDict, Dict, List, Optional from pydantic import BaseModel, Field @@ -15,10 +15,10 @@ from langflow.utils import constants class FieldFormatters(BaseModel): - formatters = { + formatters: ClassVar[Dict] = { "openai_api_key": field_formatters.OpenAIAPIKeyFormatter(), } - base_formatters = { + base_formatters: ClassVar[Dict] = { "kwargs": field_formatters.KwargsFormatter(), "optional": field_formatters.RemoveOptionalFormatter(), "list": field_formatters.ListTypeFormatter(), @@ -49,7 +49,7 @@ class FrontendNode(BaseModel): name: str = "" display_name: str = "" documentation: str = "" - custom_fields: defaultdict = defaultdict(list) + custom_fields: Optional[DefaultDict[str, List[str]]] = defaultdict(list) output_types: List[str] = [] field_formatters: FieldFormatters = Field(default_factory=FieldFormatters) beta: bool = False diff --git a/src/backend/langflow/template/frontend_node/chains.py b/src/backend/langflow/template/frontend_node/chains.py index b678dec3b..18cedbe1d 100644 --- a/src/backend/langflow/template/frontend_node/chains.py +++ b/src/backend/langflow/template/frontend_node/chains.py @@ -87,6 +87,8 @@ class ChainFrontendNode(FrontendNode): field.required = True field.show = True field.advanced = False + field.field_type = "BaseLanguageModel" # temporary fix + field.is_list = False if field.name == "return_source_documents": field.required = False @@ -140,7 +142,7 @@ class SeriesCharacterChainNode(FrontendNode): "Chain", "ConversationChain", "SeriesCharacterChain", - "function", + "Callable", ] @@ -241,7 +243,7 @@ class CombineDocsChainNode(FrontendNode): ], ) description: str = """Load question answering chain.""" - base_classes: list[str] = ["BaseCombineDocumentsChain", "function"] + base_classes: list[str] = ["BaseCombineDocumentsChain", "Callable"] def to_dict(self): return super().to_dict() diff --git a/src/backend/langflow/template/frontend_node/documentloaders.py b/src/backend/langflow/template/frontend_node/documentloaders.py index 0be2ebe98..ed5a0fa42 100644 --- a/src/backend/langflow/template/frontend_node/documentloaders.py +++ b/src/backend/langflow/template/frontend_node/documentloaders.py @@ -1,4 +1,4 @@ -from typing import Optional +from typing import ClassVar, Dict, Optional from langflow.template.field.base import TemplateField from langflow.template.frontend_node.base import FrontendNode @@ -23,7 +23,7 @@ class DocumentLoaderFrontNode(FrontendNode): self.base_classes = ["Document"] self.output_types = ["Document"] - file_path_templates = { + file_path_templates: ClassVar[Dict] = { "AirbyteJSONLoader": build_file_field(suffixes=[".json"], fileTypes=["json"]), "CoNLLULoader": build_file_field(suffixes=[".csv"], fileTypes=["csv"]), "CSVLoader": build_file_field(suffixes=[".csv"], fileTypes=["csv"]), diff --git a/src/backend/langflow/template/frontend_node/formatter/field_formatters.py b/src/backend/langflow/template/frontend_node/formatter/field_formatters.py index a67387df7..654a92c2f 100644 --- a/src/backend/langflow/template/frontend_node/formatter/field_formatters.py +++ b/src/backend/langflow/template/frontend_node/formatter/field_formatters.py @@ -1,4 +1,4 @@ -from typing import Optional +from typing import ClassVar, Dict, Optional from langflow.template.field.base import TemplateField from langflow.template.frontend_node.constants import FORCE_SHOW_FIELDS from langflow.template.frontend_node.formatter.base import FieldFormatter @@ -21,7 +21,7 @@ class OpenAIAPIKeyFormatter(FieldFormatter): class ModelSpecificFieldFormatter(FieldFormatter): - MODEL_DICT = { + MODEL_DICT: ClassVar[Dict] = { "OpenAI": OPENAI_MODELS, "ChatOpenAI": CHAT_OPENAI_MODELS, "Anthropic": ANTHROPIC_MODELS, @@ -86,7 +86,7 @@ class UnionTypeFormatter(FieldFormatter): class SpecialFieldFormatter(FieldFormatter): - SPECIAL_FIELD_HANDLERS = { + SPECIAL_FIELD_HANDLERS: ClassVar[Dict] = { "allowed_tools": lambda field: "Tool", "max_value_length": lambda field: "int", } diff --git a/src/backend/langflow/template/frontend_node/tools.py b/src/backend/langflow/template/frontend_node/tools.py index 579b32da3..315b216a4 100644 --- a/src/backend/langflow/template/frontend_node/tools.py +++ b/src/backend/langflow/template/frontend_node/tools.py @@ -35,7 +35,7 @@ class ToolNode(FrontendNode): ), TemplateField( name="func", - field_type="function", + field_type="Callable", required=True, is_list=False, show=True, @@ -135,7 +135,7 @@ class PythonFunctionNode(FrontendNode): ], ) description: str = "Python function to be executed." - base_classes: list[str] = ["function"] + base_classes: list[str] = ["Callable"] def to_dict(self): return super().to_dict() diff --git a/src/backend/langflow/utils/util.py b/src/backend/langflow/utils/util.py index c23c559e4..1c7a7f094 100644 --- a/src/backend/langflow/utils/util.py +++ b/src/backend/langflow/utils/util.py @@ -34,7 +34,7 @@ def build_template_from_function( docs = parse(_class.__doc__) variables = {"_type": _type} - for class_field_items, value in _class.__fields__.items(): + for class_field_items, value in _class.model_fields.items(): if class_field_items in ["callback_manager"]: continue variables[class_field_items] = {} @@ -60,7 +60,7 @@ def build_template_from_function( # the output to be a function base_classes = get_base_classes(_class) if add_function: - base_classes.append("function") + base_classes.append("Callable") return { "template": format_dict(variables, name), @@ -114,7 +114,7 @@ def build_template_from_class( # Adding function to base classes to allow # the output to be a function if add_function: - base_classes.append("function") + base_classes.append("Callable") return { "template": format_dict(variables, name), "description": docs.short_description or "", @@ -178,7 +178,7 @@ def build_template_from_method( # Adding function to base classes to allow the output to be a function if add_function: - base_classes.append("function") + base_classes.append("Callable") return { "template": format_dict(variables, class_name), @@ -276,6 +276,7 @@ def format_dict( _type = remove_optional_wrapper(_type) _type = check_list_type(_type, value) _type = replace_mapping_with_dict(_type) + _type = get_type_from_union_literal(_type) value["type"] = get_formatted_type(key, _type) value["show"] = should_show_field(value, key) @@ -295,6 +296,15 @@ def format_dict( return dictionary +# "Union[Literal['f-string'], Literal['jinja2']]" -> "str" +def get_type_from_union_literal(union_literal: str) -> str: + # if types are literal strings + # the type is a string + if "Literal" in union_literal: + return "str" + return union_literal + + def get_type(value: Any) -> Union[str, type]: """ Retrieves the type value from the dictionary. @@ -302,7 +312,8 @@ def get_type(value: Any) -> Union[str, type]: Returns: The type value. """ - _type = value["type"] + # get "type" or "annotation" from the value + _type = value.get("type") or value.get("annotation") return _type if isinstance(_type, str) else _type.__name__ diff --git a/src/frontend/src/pages/FlowPage/components/DisclosureComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/DisclosureComponent/index.tsx index 3a47580bb..d2ff0eee8 100644 --- a/src/frontend/src/pages/FlowPage/components/DisclosureComponent/index.tsx +++ b/src/frontend/src/pages/FlowPage/components/DisclosureComponent/index.tsx @@ -8,7 +8,7 @@ export default function DisclosureComponent({ openDisc, }: DisclosureComponentType): JSX.Element { return ( - + {({ open }) => ( <>
@@ -35,9 +35,7 @@ export default function DisclosureComponent({
- - {children} - + {children} )}
diff --git a/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/index.tsx index 664ec80d3..37bd43b58 100644 --- a/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/index.tsx +++ b/src/frontend/src/pages/FlowPage/components/extraSidebarComponent/index.tsx @@ -122,7 +122,7 @@ export default function ExtraSidebar(): JSX.Element { } } }); - setSearch("search"); + setSearch(""); return ret; }); } @@ -227,8 +227,12 @@ export default function ExtraSidebar(): JSX.Element { .map((SBSectionName: keyof APIObjectType, index) => Object.keys(dataFilter[SBSectionName]).length > 0 ? (