diff --git a/.env.example b/.env.example index b3e592bdf..ccab7c28e 100644 --- a/.env.example +++ b/.env.example @@ -56,6 +56,14 @@ LANGFLOW_REMOVE_API_KEYS= # LANGFLOW_REDIS_CACHE_EXPIRE (default: 3600) LANGFLOW_CACHE_TYPE= +# Auto login +# If set to true then a superuser will be logged in automatically +# and the login page will be skipped, keeping the +# default experience of Langflow +# Values: true, false +# Example: LANGFLOW_AUTO_LOGIN=true +LANGFLOW_AUTO_LOGIN= + # Superuser username # Example: LANGFLOW_SUPERUSER=admin LANGFLOW_SUPERUSER= diff --git a/Dockerfile b/Dockerfile index afe112a40..520c407de 100644 --- a/Dockerfile +++ b/Dockerfile @@ -12,4 +12,4 @@ WORKDIR $HOME/app COPY --chown=user . $HOME/app RUN pip install langflow>==0.0.86 -U --user -CMD ["python", "-m", "langflow", "--host", "0.0.0.0", "--port", "7860"] +CMD ["python", "-m", "langflow", "run", "--host", "0.0.0.0", "--port", "7860"] diff --git a/Makefile b/Makefile index 79a2f6582..51c9d4897 100644 --- a/Makefile +++ b/Makefile @@ -22,6 +22,13 @@ tests: @make install_backend poetry run pytest tests +tests_frontend: +ifeq ($(UI), true) + cd src/frontend && ./run-tests.sh --ui +else + cd src/frontend && ./run-tests.sh +endif + format: poetry run black . poetry run ruff . --fix diff --git a/docs/docs/index.mdx b/docs/docs/index.mdx index 7be04549c..f0fee5009 100644 --- a/docs/docs/index.mdx +++ b/docs/docs/index.mdx @@ -7,10 +7,11 @@ import useBaseUrl from "@docusaurus/useBaseUrl"; import ZoomableImage from "/src/theme/ZoomableImage.js"; {" "} + diff --git a/docs/static/img/new_langflow.gif b/docs/static/img/new_langflow.gif index 6323d20df..d963db0b8 100644 Binary files a/docs/static/img/new_langflow.gif and b/docs/static/img/new_langflow.gif differ diff --git a/docs/static/img/new_langflow2.gif b/docs/static/img/new_langflow2.gif deleted file mode 100644 index 587450de2..000000000 Binary files a/docs/static/img/new_langflow2.gif and /dev/null differ diff --git a/docs/static/videos/langflow_fork.mp4 b/docs/static/videos/langflow_fork.mp4 index c9b75bc23..3e0b114ba 100644 Binary files a/docs/static/videos/langflow_fork.mp4 and b/docs/static/videos/langflow_fork.mp4 differ diff --git a/docs/static/videos/langflow_parameters.mp4 b/docs/static/videos/langflow_parameters.mp4 index c7599e649..96f689655 100644 Binary files a/docs/static/videos/langflow_parameters.mp4 and b/docs/static/videos/langflow_parameters.mp4 differ diff --git a/docs/static/videos/langflow_widget.mp4 b/docs/static/videos/langflow_widget.mp4 index d5514a948..3125acf74 100644 Binary files a/docs/static/videos/langflow_widget.mp4 and b/docs/static/videos/langflow_widget.mp4 differ diff --git a/poetry.lock b/poetry.lock index 8373f3878..b81012583 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.5.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. 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a/src/backend/langflow/api/v1/chat.py b/src/backend/langflow/api/v1/chat.py index 6fdfb8897..0f277fbb7 100644 --- a/src/backend/langflow/api/v1/chat.py +++ b/src/backend/langflow/api/v1/chat.py @@ -187,14 +187,18 @@ async def stream_build( valid = False update_build_status(cache_service, flow_id, BuildStatus.FAILURE) - response = { - "valid": valid, - "params": params, - "id": vertex.id, - "progress": round(i / number_of_nodes, 2), - } + vertex_id = ( + vertex.parent_node_id if vertex.parent_is_top_level else vertex.id + ) + if vertex_id in graph.top_level_nodes: + response = { + "valid": valid, + "params": params, + "id": vertex_id, + "progress": round(i / number_of_nodes, 2), + } - yield str(StreamData(event="message", data=response)) + yield str(StreamData(event="message", data=response)) langchain_object = graph.build() # Now we need to check the input_keys to send them to the client diff --git a/src/backend/langflow/api/v1/endpoints.py b/src/backend/langflow/api/v1/endpoints.py index 4e68193d8..9b1213c2c 100644 --- a/src/backend/langflow/api/v1/endpoints.py +++ b/src/backend/langflow/api/v1/endpoints.py @@ -69,7 +69,7 @@ def get_all( "/process/{flow_id}", response_model=ProcessResponse, ) -async def process_flow( +async def process( session: Annotated[Session, Depends(get_session)], flow_id: str, inputs: Optional[dict] = None, diff --git a/src/backend/langflow/components/llms/HuggingFaceEndpoints.py b/src/backend/langflow/components/llms/HuggingFaceEndpoints.py index ea2b4f20b..0d28d5b9b 100644 --- a/src/backend/langflow/components/llms/HuggingFaceEndpoints.py +++ b/src/backend/langflow/components/llms/HuggingFaceEndpoints.py @@ -1,6 +1,6 @@ from typing import Optional from langflow import CustomComponent -from langchain.llms import HuggingFaceEndpoint +from langchain.llms.huggingface_endpoint import HuggingFaceEndpoint from langchain.llms.base import BaseLLM @@ -13,7 +13,6 @@ class HuggingFaceEndpointsComponent(CustomComponent): "endpoint_url": {"display_name": "Endpoint URL", "password": True}, "task": { "display_name": "Task", - "type": "select", "options": ["text2text-generation", "text-generation", "summarization"], }, "huggingfacehub_api_token": {"display_name": "API token", "password": True}, @@ -27,7 +26,7 @@ class HuggingFaceEndpointsComponent(CustomComponent): def build( self, endpoint_url: str, - task="text2text-generation", + task: str = "text2text-generation", huggingfacehub_api_token: Optional[str] = None, model_kwargs: Optional[dict] = None, ) -> BaseLLM: @@ -36,6 +35,7 @@ class HuggingFaceEndpointsComponent(CustomComponent): endpoint_url=endpoint_url, task=task, huggingfacehub_api_token=huggingfacehub_api_token, + model_kwargs=model_kwargs, ) except Exception as e: raise ValueError("Could not connect to HuggingFace Endpoints API.") from e diff --git a/src/backend/langflow/components/vectorstores/Vectara.py b/src/backend/langflow/components/vectorstores/Vectara.py index 6edc69822..6f7fcc0bb 100644 --- a/src/backend/langflow/components/vectorstores/Vectara.py +++ b/src/backend/langflow/components/vectorstores/Vectara.py @@ -5,7 +5,6 @@ from langchain.vectorstores import Vectara from langchain.schema import Document from langchain.vectorstores.base import VectorStore from langchain.schema import BaseRetriever -from langchain.embeddings.base import Embeddings class VectaraComponent(CustomComponent): @@ -22,7 +21,6 @@ class VectaraComponent(CustomComponent): "vectara_api_key": {"display_name": "Vectara API Key", "password": True}, "code": {"show": False}, "documents": {"display_name": "Documents"}, - "embedding": {"display_name": "Embedding"}, } def build( @@ -30,21 +28,21 @@ class VectaraComponent(CustomComponent): vectara_customer_id: str, vectara_corpus_id: str, vectara_api_key: str, - embedding: Optional[Embeddings] = None, documents: Optional[Document] = None, ) -> Union[VectorStore, BaseRetriever]: # If documents, then we need to create a Vectara instance using .from_documents - if documents is not None and embedding is not None: + if documents is not None: return Vectara.from_documents( documents=documents, # type: ignore vectara_customer_id=vectara_customer_id, vectara_corpus_id=vectara_corpus_id, vectara_api_key=vectara_api_key, - embedding=embedding, + source="langflow", ) return Vectara( vectara_customer_id=vectara_customer_id, vectara_corpus_id=vectara_corpus_id, vectara_api_key=vectara_api_key, + source="langflow", ) diff --git a/src/backend/langflow/field_typing/__init__.py b/src/backend/langflow/field_typing/__init__.py index 927716b11..9a2161d3f 100644 --- a/src/backend/langflow/field_typing/__init__.py +++ b/src/backend/langflow/field_typing/__init__.py @@ -1,3 +1,53 @@ -from .base import NestedDict +# LANGCHAIN_BASE_TYPES = { +# "Chain": Chain, +# "AgentExecutor": AgentExecutor, +# "Tool": Tool, +# "BaseLLM": BaseLLM, +# "PromptTemplate": PromptTemplate, +# "BaseLoader": BaseLoader, +# "Document": Document, +# "TextSplitter": TextSplitter, +# "VectorStore": VectorStore, +# "Embeddings": Embeddings, +# "BaseRetriever": BaseRetriever, +# "BaseOutputParser": BaseOutputParser, +# "BaseMemory": BaseMemory, +# "BaseChatMemory": BaseChatMemory, +# } +from .constants import ( + Tool, + PromptTemplate, + Chain, + BaseChatMemory, + BaseLLM, + BaseLoader, + BaseMemory, + BaseOutputParser, + BaseRetriever, + VectorStore, + Embeddings, + TextSplitter, + Document, + AgentExecutor, + NestedDict, + Data, +) -__all__ = ["NestedDict"] +__all__ = [ + "NestedDict", + "Data", + "Tool", + "PromptTemplate", + "Chain", + "BaseChatMemory", + "BaseLLM", + "BaseLoader", + "BaseMemory", + "BaseOutputParser", + "BaseRetriever", + "VectorStore", + "Embeddings", + "TextSplitter", + "Document", + "AgentExecutor", +] diff --git a/src/backend/langflow/field_typing/base.py b/src/backend/langflow/field_typing/base.py deleted file mode 100644 index ed3219888..000000000 --- a/src/backend/langflow/field_typing/base.py +++ /dev/null @@ -1,4 +0,0 @@ -from typing import Union, Dict - -# Type alias for more complex dicts -NestedDict = Dict[str, Union[str, Dict]] diff --git a/src/backend/langflow/field_typing/constants.py b/src/backend/langflow/field_typing/constants.py new file mode 100644 index 000000000..3ce429548 --- /dev/null +++ b/src/backend/langflow/field_typing/constants.py @@ -0,0 +1,50 @@ +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.memory.chat_memory import BaseChatMemory +from langchain.prompts import PromptTemplate +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 + +# Type alias for more complex dicts +NestedDict = Dict[str, Union[str, Dict]] + + +class Data: + pass + + +LANGCHAIN_BASE_TYPES = { + "Chain": Chain, + "AgentExecutor": AgentExecutor, + "Tool": Tool, + "BaseLLM": BaseLLM, + "PromptTemplate": PromptTemplate, + "BaseLoader": BaseLoader, + "Document": Document, + "TextSplitter": TextSplitter, + "VectorStore": VectorStore, + "Embeddings": Embeddings, + "BaseRetriever": BaseRetriever, + "BaseOutputParser": BaseOutputParser, + "BaseMemory": BaseMemory, + "BaseChatMemory": BaseChatMemory, +} +# Langchain base types plus Python base types +CUSTOM_COMPONENT_SUPPORTED_TYPES = { + **LANGCHAIN_BASE_TYPES, + "str": str, + "int": int, + "float": float, + "bool": bool, + "list": list, + "dict": dict, + "NestedDict": NestedDict, + "Data": Data, +} diff --git a/src/backend/langflow/graph/edge/base.py b/src/backend/langflow/graph/edge/base.py index 2c60b0288..82714e395 100644 --- a/src/backend/langflow/graph/edge/base.py +++ b/src/backend/langflow/graph/edge/base.py @@ -1,28 +1,79 @@ from loguru import logger from typing import TYPE_CHECKING +from pydantic import BaseModel, Field +from typing import List, Optional if TYPE_CHECKING: from langflow.graph.vertex.base import Vertex +class SourceHandle(BaseModel): + baseClasses: List[str] = Field( + ..., description="List of base classes for the source handle." + ) + dataType: str = Field(..., description="Data type for the source handle.") + id: str = Field(..., description="Unique identifier for the source handle.") + + +class TargetHandle(BaseModel): + fieldName: str = Field(..., description="Field name for the target handle.") + id: str = Field(..., description="Unique identifier for the target handle.") + inputTypes: Optional[List[str]] = Field( + None, description="List of input types for the target handle." + ) + type: str = Field(..., description="Type of the target handle.") + + class Edge: def __init__(self, source: "Vertex", target: "Vertex", edge: dict): self.source: "Vertex" = source self.target: "Vertex" = target - self.source_handle = edge.get("sourceHandle", "") - self.target_handle = edge.get("targetHandle", "") - # 'BaseLoader;BaseOutputParser|documents|PromptTemplate-zmTlD' - # target_param is documents - self.target_param = self.target_handle.split("|")[1] - + if data := edge.get("data", {}): + self._source_handle = data.get("sourceHandle", {}) + self._target_handle = data.get("targetHandle", {}) + self.source_handle: SourceHandle = SourceHandle(**self._source_handle) + self.target_handle: TargetHandle = TargetHandle(**self._target_handle) + self.target_param = self.target_handle.fieldName + # validate handles + self.validate_handles() + else: + # Logging here because this is a breaking change + logger.error("Edge data is empty") + self._source_handle = edge.get("sourceHandle", "") + self._target_handle = edge.get("targetHandle", "") + # 'BaseLoader;BaseOutputParser|documents|PromptTemplate-zmTlD' + # target_param is documents + self.target_param = self._target_handle.split("|")[1] + # Validate in __init__ to fail fast self.validate_edge() + def validate_handles(self) -> None: + if self.target_handle.inputTypes is None: + self.valid_handles = ( + self.target_handle.type in self.source_handle.baseClasses + ) + else: + self.valid_handles = ( + any( + baseClass in self.target_handle.inputTypes + for baseClass in self.source_handle.baseClasses + ) + or self.target_handle.type in self.source_handle.baseClasses + ) + if not self.valid_handles: + logger.debug(self.source_handle) + logger.debug(self.target_handle) + raise ValueError( + f"Edge between {self.source.vertex_type} and {self.target.vertex_type} " + f"has invalid handles" + ) + def __setstate__(self, state): self.source = state["source"] self.target = state["target"] self.target_param = state["target_param"] - self.source_handle = state["source_handle"] - self.target_handle = state["target_handle"] + self.source_handle = state.get("source_handle") + self.target_handle = state.get("target_handle") def reset(self) -> None: self.source._build_params() diff --git a/src/backend/langflow/graph/graph/base.py b/src/backend/langflow/graph/graph/base.py index 227b04bf9..83976ae49 100644 --- a/src/backend/langflow/graph/graph/base.py +++ b/src/backend/langflow/graph/graph/base.py @@ -2,6 +2,7 @@ from typing import Dict, Generator, List, Type, Union from langflow.graph.edge.base import Edge from langflow.graph.graph.constants import lazy_load_vertex_dict +from langflow.graph.graph.utils import process_flow from langflow.graph.vertex.base import Vertex from langflow.graph.vertex.types import ( FileToolVertex, @@ -19,11 +20,21 @@ class Graph: def __init__( self, - nodes: List[Dict[str, Union[str, Dict[str, Union[str, List[str]]]]]], + nodes: List[Dict], edges: List[Dict[str, str]], ) -> None: self._nodes = nodes self._edges = edges + self.raw_graph_data = {"nodes": nodes, "edges": edges} + + self.top_level_nodes = [] + for node in self._nodes: + if node_id := node.get("id"): + self.top_level_nodes.append(node_id) + + self._graph_data = process_flow(self.raw_graph_data) + self._nodes = self._graph_data["nodes"] + self._edges = self._graph_data["edges"] self._build_graph() def __setstate__(self, state): @@ -50,6 +61,7 @@ class Graph: edges = payload["edges"] return cls(nodes, edges) except KeyError as exc: + logger.exception(exc) raise ValueError( f"Invalid payload. Expected keys 'nodes' and 'edges'. Found {list(payload.keys())}" ) from exc @@ -215,7 +227,9 @@ class Graph: node_lc_type: str = node_data["node"]["template"]["_type"] # type: ignore VertexClass = self._get_vertex_class(node_type, node_lc_type) - nodes.append(VertexClass(node)) + vertex = VertexClass(node) + vertex.set_top_level(self.top_level_nodes) + nodes.append(vertex) return nodes diff --git a/src/backend/langflow/graph/graph/utils.py b/src/backend/langflow/graph/graph/utils.py index e69de29bb..71b81fea1 100644 --- a/src/backend/langflow/graph/graph/utils.py +++ b/src/backend/langflow/graph/graph/utils.py @@ -0,0 +1,230 @@ +from collections import deque +import copy + + +def find_last_node(nodes, edges): + """ + This function receives a flow and returns the last node. + """ + return next((n for n in nodes if all(e["source"] != n["id"] for e in edges)), None) + + +def add_parent_node_id(nodes, parent_node_id): + """ + This function receives a list of nodes and adds a parent_node_id to each node. + """ + for node in nodes: + node["parent_node_id"] = parent_node_id + + +def ungroup_node(group_node_data, base_flow): + template, flow = ( + group_node_data["node"]["template"], + group_node_data["node"]["flow"], + ) + parent_node_id = group_node_data["id"] + g_nodes = flow["data"]["nodes"] + add_parent_node_id(g_nodes, parent_node_id) + g_edges = flow["data"]["edges"] + + # Redirect edges to the correct proxy node + updated_edges = get_updated_edges( + base_flow, g_nodes, g_edges, group_node_data["id"] + ) + + # Update template values + update_template(template, g_nodes) + + nodes = [ + n for n in base_flow["nodes"] if n["id"] != group_node_data["id"] + ] + g_nodes + edges = ( + [ + e + for e in base_flow["edges"] + if e["target"] != group_node_data["id"] + and e["source"] != group_node_data["id"] + ] + + g_edges + + updated_edges + ) + + base_flow["nodes"] = nodes + base_flow["edges"] = edges + + return nodes + + +def process_flow(flow_object): + cloned_flow = copy.deepcopy(flow_object) + processed_nodes = set() # To keep track of processed nodes + + def process_node(node): + node_id = node.get("id") + + # If node already processed, skip + if node_id in processed_nodes: + return + + if ( + node.get("data") + and node["data"].get("node") + and node["data"]["node"].get("flow") + ): + process_flow(node["data"]["node"]["flow"]["data"]) + new_nodes = ungroup_node(node["data"], cloned_flow) + # Add new nodes to the queue for future processing + nodes_to_process.extend(new_nodes) + + # Mark node as processed + processed_nodes.add(node_id) + + nodes_to_process = deque(cloned_flow["nodes"]) + + while nodes_to_process: + node = nodes_to_process.popleft() + process_node(node) + + return cloned_flow + + +def update_template(template, g_nodes): + """ + Updates the template of a node in a graph with the given template. + + Args: + template (dict): The new template to update the node with. + g_nodes (list): The list of nodes in the graph. + + Returns: + None + """ + for _, value in template.items(): + if not value.get("proxy"): + continue + proxy_dict = value["proxy"] + field, id_ = proxy_dict["field"], proxy_dict["id"] + node_index = next((i for i, n in enumerate(g_nodes) if n["id"] == id_), -1) + if node_index != -1: + display_name = None + show = g_nodes[node_index]["data"]["node"]["template"][field]["show"] + advanced = g_nodes[node_index]["data"]["node"]["template"][field][ + "advanced" + ] + if "display_name" in g_nodes[node_index]["data"]["node"]["template"][field]: + display_name = g_nodes[node_index]["data"]["node"]["template"][field][ + "display_name" + ] + else: + display_name = g_nodes[node_index]["data"]["node"]["template"][field][ + "name" + ] + + g_nodes[node_index]["data"]["node"]["template"][field] = value + g_nodes[node_index]["data"]["node"]["template"][field]["show"] = show + g_nodes[node_index]["data"]["node"]["template"][field][ + "advanced" + ] = advanced + g_nodes[node_index]["data"]["node"]["template"][field][ + "display_name" + ] = display_name + + +def update_target_handle(new_edge, g_nodes, group_node_id): + """ + Updates the target handle of a given edge if it is a proxy node. + + Args: + new_edge (dict): The edge to update. + g_nodes (list): The list of nodes in the graph. + group_node_id (str): The ID of the group node. + + Returns: + dict: The updated edge. + """ + target_handle = new_edge["data"]["targetHandle"] + if target_handle.get("proxy"): + proxy_id = target_handle["proxy"]["id"] + if node := next((n for n in g_nodes if n["id"] == proxy_id), None): + set_new_target_handle(proxy_id, new_edge, target_handle, node) + return new_edge + + +def set_new_target_handle(proxy_id, new_edge, target_handle, node): + """ + Sets a new target handle for a given edge. + + Args: + proxy_id (str): The ID of the proxy. + new_edge (dict): The new edge to be created. + target_handle (dict): The target handle of the edge. + node (dict): The node containing the edge. + + Returns: + None + """ + new_edge["target"] = proxy_id + _type = target_handle.get("type") + if _type is None: + raise KeyError("The 'type' key must be present in target_handle.") + + field = target_handle["proxy"]["field"] + new_target_handle = { + "fieldName": field, + "type": _type, + "id": proxy_id, + } + if node["data"]["node"].get("flow"): + new_target_handle["proxy"] = { + "field": node["data"]["node"]["template"][field]["proxy"]["field"], + "id": node["data"]["node"]["template"][field]["proxy"]["id"], + } + if input_types := target_handle.get("inputTypes"): + new_target_handle["inputTypes"] = input_types + new_edge["data"]["targetHandle"] = new_target_handle + + +def update_source_handle(new_edge, g_nodes, g_edges): + """ + Updates the source handle of a given edge to the last node in the flow data. + + Args: + new_edge (dict): The edge to update. + flow_data (dict): The flow data containing the nodes and edges. + + Returns: + dict: The updated edge with the new source handle. + """ + last_node = copy.deepcopy(find_last_node(g_nodes, g_edges)) + new_edge["source"] = last_node["id"] + new_source_handle = new_edge["data"]["sourceHandle"] + new_source_handle["id"] = last_node["id"] + new_edge["data"]["sourceHandle"] = new_source_handle + return new_edge + + +def get_updated_edges(base_flow, g_nodes, g_edges, group_node_id): + """ + Given a base flow, a list of graph nodes and a group node id, returns a list of updated edges. + An updated edge is an edge that has its target or source handle updated based on the group node id. + + Args: + base_flow (dict): The base flow containing a list of edges. + g_nodes (list): A list of graph nodes. + group_node_id (str): The id of the group node. + + Returns: + list: A list of updated edges. + """ + updated_edges = [] + for edge in base_flow["edges"]: + new_edge = copy.deepcopy(edge) + if new_edge["target"] == group_node_id: + new_edge = update_target_handle(new_edge, g_nodes, group_node_id) + + if new_edge["source"] == group_node_id: + new_edge = update_source_handle(new_edge, g_nodes, g_edges) + + if edge["target"] == group_node_id or edge["source"] == group_node_id: + updated_edges.append(new_edge) + return updated_edges diff --git a/src/backend/langflow/graph/vertex/base.py b/src/backend/langflow/graph/vertex/base.py index 51fa8d815..de64b3598 100644 --- a/src/backend/langflow/graph/vertex/base.py +++ b/src/backend/langflow/graph/vertex/base.py @@ -38,6 +38,8 @@ class Vertex: self.task_id: Optional[str] = None self.is_task = is_task self.params = params or {} + self.parent_node_id: Optional[str] = self._data.get("parent_node_id") + self.parent_is_top_level = False def reset_params(self): for edge in self.edges: @@ -88,6 +90,11 @@ class Vertex: self._built = False self.artifacts: Dict[str, Any] = {} self.task_id: Optional[str] = None + self.parent_node_id = state["parent_node_id"] + self.parent_is_top_level = state["parent_is_top_level"] + + def set_top_level(self, top_level_nodes: List[str]) -> None: + self.parent_is_top_level = self.parent_node_id in top_level_nodes def _parse_data(self) -> None: self.data = self._data["data"] @@ -209,6 +216,16 @@ class Vertex: } elif isinstance(_value, dict): params[key] = _value + elif value.get("type") == "int" and value.get("value") is not None: + try: + params[key] = int(value.get("value")) + except ValueError: + params[key] = value.get("value") + elif value.get("type") == "float" and value.get("value") is not None: + try: + params[key] = float(value.get("value")) + except ValueError: + params[key] = value.get("value") else: params[key] = value.get("value") diff --git a/src/backend/langflow/interface/custom/constants.py b/src/backend/langflow/interface/custom/constants.py index 58ecef637..6df72500c 100644 --- a/src/backend/langflow/interface/custom/constants.py +++ b/src/backend/langflow/interface/custom/constants.py @@ -1,65 +1,33 @@ -from langchain.prompts import PromptTemplate -from langchain.chains.base import Chain -from langchain.document_loaders.base import BaseLoader -from langchain.schema.embeddings import Embeddings -from langchain.llms.base import BaseLLM -from langchain.schema import BaseRetriever, Document -from langchain.text_splitter import TextSplitter -from langchain.tools import Tool -from langchain.vectorstores.base import VectorStore -from langchain.schema import BaseOutputParser -from langchain.schema.memory import BaseMemory -from langchain.memory.chat_memory import BaseChatMemory -from langchain.agents.agent import AgentExecutor - -LANGCHAIN_BASE_TYPES = { - "Chain": Chain, - "AgentExecutor": AgentExecutor, - "Tool": Tool, - "BaseLLM": BaseLLM, - "PromptTemplate": PromptTemplate, - "BaseLoader": BaseLoader, - "Document": Document, - "TextSplitter": TextSplitter, - "VectorStore": VectorStore, - "Embeddings": Embeddings, - "BaseRetriever": BaseRetriever, - "BaseOutputParser": BaseOutputParser, - "BaseMemory": BaseMemory, - "BaseChatMemory": BaseChatMemory, -} - -# Langchain base types plus Python base types -CUSTOM_COMPONENT_SUPPORTED_TYPES = { - **LANGCHAIN_BASE_TYPES, - "str": str, - "int": int, - "float": float, - "bool": bool, - "list": list, - "dict": dict, -} - - DEFAULT_CUSTOM_COMPONENT_CODE = """from langflow import CustomComponent -from langchain.llms.base import BaseLLM -from langchain.chains import LLMChain -from langchain.prompts import PromptTemplate -from langchain.schema import Document +from langflow.field_typing import ( + Tool, + PromptTemplate, + Chain, + BaseChatMemory, + BaseLLM, + BaseLoader, + BaseMemory, + BaseOutputParser, + BaseRetriever, + VectorStore, + Embeddings, + TextSplitter, + Document, + AgentExecutor, + NestedDict, + Data, +) -import requests -class YourComponent(CustomComponent): +class Component(CustomComponent): display_name: str = "Custom Component" description: str = "Create any custom component you want!" def build_config(self): - return { "url": { "multiline": True, "required": True } } + return {"param": {"display_name": "Parameter"}} + + def build(self, param: Data) -> Data: + return param - def build(self, url: str, llm: BaseLLM, prompt: PromptTemplate) -> Document: - response = requests.get(url) - chain = LLMChain(llm=llm, prompt=prompt) - result = chain.run(response.text[:300]) - return Document(page_content=str(result)) """ diff --git a/src/backend/langflow/interface/custom/custom_component.py b/src/backend/langflow/interface/custom/custom_component.py index ccc0b08b2..4b889e77b 100644 --- a/src/backend/langflow/interface/custom/custom_component.py +++ b/src/backend/langflow/interface/custom/custom_component.py @@ -1,7 +1,7 @@ from typing import Any, Callable, List, Optional, Union from uuid import UUID from fastapi import HTTPException -from langflow.interface.custom.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES +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 @@ -108,6 +108,9 @@ class CustomComponent(Component, extra=Extra.allow): ), }, ) + elif not arg.get("type"): + # Set the type to Data + arg["type"] = "Data" return args @property diff --git a/src/backend/langflow/interface/types.py b/src/backend/langflow/interface/types.py index 6708c11c9..0046c84fb 100644 --- a/src/backend/langflow/interface/types.py +++ b/src/backend/langflow/interface/types.py @@ -4,7 +4,7 @@ from typing import Any, List from langflow.api.utils import get_new_key from langflow.interface.agents.base import agent_creator from langflow.interface.chains.base import chain_creator -from langflow.interface.custom.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES +from langflow.field_typing.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES from langflow.interface.custom.utils import extract_inner_type from langflow.interface.document_loaders.base import documentloader_creator from langflow.interface.embeddings.base import embedding_creator @@ -288,6 +288,24 @@ def add_base_classes(frontend_node, return_types: List[str]): frontend_node.get("base_classes").append(base_class) +def add_output_types(frontend_node, return_types: List[str]): + """Add output types to the frontend node""" + for return_type in return_types: + if return_type not in CUSTOM_COMPONENT_SUPPORTED_TYPES or return_type is None: + raise HTTPException( + status_code=400, + detail={ + "error": ( + "Invalid return type should be one of: " + f"{list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys())}" + ), + "traceback": traceback.format_exc(), + }, + ) + + frontend_node.get("output_types").append(return_type) + + def build_langchain_template_custom_component(custom_component: CustomComponent): """Build a custom component template for the langchain""" try: @@ -314,6 +332,9 @@ def build_langchain_template_custom_component(custom_component: CustomComponent) add_base_classes( frontend_node, custom_component.get_function_entrypoint_return_type ) + add_output_types( + frontend_node, custom_component.get_function_entrypoint_return_type + ) logger.debug("Added base classes") return frontend_node except Exception as exc: diff --git a/src/backend/langflow/processing/base.py b/src/backend/langflow/processing/base.py index e5816306c..6c56a59dd 100644 --- a/src/backend/langflow/processing/base.py +++ b/src/backend/langflow/processing/base.py @@ -34,7 +34,9 @@ def get_langfuse_callback(trace_id): if langfuse := LangfuseInstance.get(): logger.debug("Langfuse credentials found") try: - trace = langfuse.trace(CreateTrace(id=trace_id)) + trace = langfuse.trace( + CreateTrace(name="langflow-" + trace_id, id=trace_id) + ) return trace.getNewHandler() except Exception as exc: logger.error(f"Error initializing langfuse callback: {exc}") diff --git a/src/backend/langflow/template/frontend_node/base.py b/src/backend/langflow/template/frontend_node/base.py index 442e2ffd7..36d651e78 100644 --- a/src/backend/langflow/template/frontend_node/base.py +++ b/src/backend/langflow/template/frontend_node/base.py @@ -164,7 +164,7 @@ class FrontendNode(BaseModel): ) -> None: """Handles specific field values for certain fields.""" if key == "headers": - field.value = """{'Authorization': 'Bearer '}""" + field.value = """{"Authorization": "Bearer "}""" FrontendNode._handle_model_specific_field_values(field, key, name) FrontendNode._handle_api_key_specific_field_values(field, key, name) @@ -249,4 +249,4 @@ class FrontendNode(BaseModel): if "default" in value: field.value = value["default"] if key == "headers": - field.value = """{'Authorization': 'Bearer '}""" + field.value = """{"Authorization": "Bearer "}""" diff --git a/src/backend/langflow/template/frontend_node/custom_components.py b/src/backend/langflow/template/frontend_node/custom_components.py index 4f36a1c9f..e239775bc 100644 --- a/src/backend/langflow/template/frontend_node/custom_components.py +++ b/src/backend/langflow/template/frontend_node/custom_components.py @@ -2,6 +2,7 @@ from langflow.template.field.base import TemplateField from langflow.template.frontend_node.base import FrontendNode from langflow.template.template.base import Template from langflow.interface.custom.constants import DEFAULT_CUSTOM_COMPONENT_CODE +from typing import Optional class CustomComponentFrontendNode(FrontendNode): @@ -24,7 +25,7 @@ class CustomComponentFrontendNode(FrontendNode): ) ], ) - description: str = "Create any custom component you want!" + description: Optional[str] = None base_classes: list[str] = [] def to_dict(self): 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 247f3b421..a67387df7 100644 --- a/src/backend/langflow/template/frontend_node/formatter/field_formatters.py +++ b/src/backend/langflow/template/frontend_node/formatter/field_formatters.py @@ -145,7 +145,7 @@ class HeadersDefaultValueFormatter(FieldFormatter): def format(self, field: TemplateField, name: Optional[str] = None) -> None: key = field.name if key == "headers": - field.value = """{'Authorization': 'Bearer '}""" + field.value = """{"Authorization": "Bearer "}""" class DictCodeFileFormatter(FieldFormatter): diff --git a/src/backend/langflow/template/frontend_node/prompts.py b/src/backend/langflow/template/frontend_node/prompts.py index c52b1901c..f0ebc35aa 100644 --- a/src/backend/langflow/template/frontend_node/prompts.py +++ b/src/backend/langflow/template/frontend_node/prompts.py @@ -44,6 +44,7 @@ class PromptFrontendNode(FrontendNode): # All prompt fields should be password=False field.password = False + field.dynamic = True class PromptTemplateNode(FrontendNode): diff --git a/src/backend/langflow/utils/util.py b/src/backend/langflow/utils/util.py index bad123480..c23c559e4 100644 --- a/src/backend/langflow/utils/util.py +++ b/src/backend/langflow/utils/util.py @@ -191,7 +191,9 @@ def get_base_classes(cls): """Get the base classes of a class. These are used to determine the output of the nodes. """ - if bases := cls.__bases__: + + if hasattr(cls, "__bases__") and cls.__bases__: + bases = cls.__bases__ result = [] for base in bases: if any(type in base.__module__ for type in ["pydantic", "abc"]): @@ -431,7 +433,7 @@ def set_headers_value(value: Dict[str, Any]) -> None: """ Sets the value for the 'headers' key. """ - value["value"] = """{'Authorization': 'Bearer '}""" + value["value"] = """{"Authorization": "Bearer "}""" def add_options_to_field( diff --git a/src/frontend/.gitignore b/src/frontend/.gitignore index 9ad9e7fb4..9dfae2bb0 100644 --- a/src/frontend/.gitignore +++ b/src/frontend/.gitignore @@ -22,5 +22,5 @@ npm-debug.log* yarn-debug.log* yarn-error.log* /test-results/ -/playwright-report/ +/playwright-report/*/ /playwright/.cache/ diff --git a/src/frontend/package-lock.json b/src/frontend/package-lock.json index 938dae445..f92bbe39d 100644 --- a/src/frontend/package-lock.json +++ b/src/frontend/package-lock.json @@ -1165,14 +1165,14 @@ } }, "node_modules/@mui/base": { - "version": "5.0.0-beta.17", - "resolved": "https://registry.npmjs.org/@mui/base/-/base-5.0.0-beta.17.tgz", - "integrity": "sha512-xNbk7iOXrglNdIxFBN0k3ySsPIFLWCnFxqsAYl7CIcDkD9low4kJ7IUuy6ctwx/HAy2fenrT3KXHr1sGjAMgpQ==", + "version": "5.0.0-beta.19", + "resolved": "https://registry.npmjs.org/@mui/base/-/base-5.0.0-beta.19.tgz", + "integrity": "sha512-maNBgAscddyPNzFZQUJDF/puxM27Li+NqSBsr/lAP8TLns2VvWS2SoL3OKFOIoRnAMKGY/Ic6Aot6gCYeQnssA==", "dependencies": { - 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"version": "4.4.2", - "resolved": "https://registry.npmjs.org/zustand/-/zustand-4.4.2.tgz", - "integrity": "sha512-qF3/vZHCrjPUX5DvPE3DPDZlh+FiAWRKlP9PI7SlW1MCk8q4vUCDqyWsbF8K41ne0Yx8eeeb0m1cypn1LqUMYQ==", + "version": "4.4.3", + "resolved": "https://registry.npmjs.org/zustand/-/zustand-4.4.3.tgz", + "integrity": "sha512-oRy+X3ZazZvLfmv6viIaQmtLOMeij1noakIsK/Y47PWYhT8glfXzQ4j0YcP5i0P0qI1A4rIB//SGROGyZhx91A==", "requires": { "use-sync-external-store": "1.2.0" } diff --git a/src/frontend/playwright-report/index.html b/src/frontend/playwright-report/index.html new file mode 100644 index 000000000..d65e584e4 --- /dev/null +++ b/src/frontend/playwright-report/index.html @@ -0,0 +1,18 @@ + + + + + + Document + + + + + \ No newline at end of file diff --git a/src/frontend/playwright.config.ts b/src/frontend/playwright.config.ts index 6af6cb8d7..8f7490b9e 100644 --- a/src/frontend/playwright.config.ts +++ b/src/frontend/playwright.config.ts @@ -20,11 +20,13 @@ export default defineConfig({ /* Opt out of parallel tests on CI. */ workers: process.env.CI ? 1 : undefined, /* Reporter to use. See https://playwright.dev/docs/test-reporters */ - reporter: "html", + reporter: [ + ["html", { open: "never", outputFolder: "playwright-report/test-results" }], + ], /* Shared settings for all the projects below. See https://playwright.dev/docs/api/class-testoptions. */ use: { /* Base URL to use in actions like `await page.goto('/')`. */ - // baseURL: 'http://127.0.0.1:3000', + // baseURL: "http://127.0.0.1:3000", /* Collect trace when retrying the failed test. See https://playwright.dev/docs/trace-viewer */ trace: "on-first-retry", @@ -69,9 +71,16 @@ export default defineConfig({ ], /* Run your local dev server before starting the tests */ - // webServer: { - // command: 'npm run start', - // url: 'http://127.0.0.1:3000', - // reuseExistingServer: !process.env.CI, - // }, + // webServer: [ + // { + // command: "npm run backend", + // reuseExistingServer: !process.env.CI, + // timeout: 120 * 1000, + // }, + // { + // command: "npm run start", + // url: "http://127.0.0.1:3000", + // reuseExistingServer: !process.env.CI, + // }, + // ], }); diff --git a/src/frontend/run-tests.sh b/src/frontend/run-tests.sh new file mode 100755 index 000000000..6bcc81b76 --- /dev/null +++ b/src/frontend/run-tests.sh @@ -0,0 +1,75 @@ +#!/bin/bash + +# Default value for the --ui flag +ui=false + +# Parse command-line arguments +while [[ $# -gt 0 ]]; do + key="$1" + case $key in + --ui) + ui=true + shift + ;; + *) + echo "Unknown option: $key" + exit 1 + ;; + esac + shift +done + +# Function to forcibly terminate a process by port +terminate_process_by_port() { + port="$1" + echo "Terminating process on port: $port" + fuser -k -n tcp "$port" # Forcefully terminate processes using the specified port + echo "Process terminated." +} + +# Trap signals to ensure cleanup on script termination +trap 'terminate_process_by_port 7860; terminate_process_by_port 3000' EXIT + +# Navigate to the project root directory (where the Makefile is located) +cd ../../ + +# Start the frontend using 'make frontend' in the background +make frontend & + +# Give some time for the frontend to start (adjust sleep duration as needed) +sleep 10 + +# Navigate to the test directory +cd src/frontend + +# Run frontend only Playwright tests with or without UI based on the --ui flag +if [ "$ui" = true ]; then + PLAYWRIGHT_HTML_REPORT=playwright-report/onlyFront npx playwright test tests/onlyFront --ui --project=chromium +else + PLAYWRIGHT_HTML_REPORT=playwright-report/onlyFront npx playwright test tests/onlyFront --project=chromium +fi + +# Navigate back to the project root directory +cd ../../ + +# Start the backend using 'make backend' in the background +make backend & + +# Give some time for the backend to start (adjust sleep duration as needed) +sleep 10 + +# Navigate back to the test directory +cd src/frontend + +# Run Playwright tests with or without UI based on the --ui flag +if [ "$ui" = true ]; then + PLAYWRIGHT_HTML_REPORT=playwright-report/e2e npx playwright test tests/end-to-end --ui --project=chromium +else + PLAYWRIGHT_HTML_REPORT=playwright-report/e2e npx playwright test tests/end-to-end --project=chromium +fi + +npx playwright show-report + +# After the tests are finished, you can add cleanup or teardown logic here if needed + +# The trap will automatically terminate processes by port on script exit diff --git a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx index db78822a4..2e08c77b6 100644 --- a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx @@ -32,6 +32,7 @@ import { convertValuesToNumbers, hasDuplicateKeys, isValidConnection, + scapedJSONStringfy, } from "../../../../utils/reactflowUtils"; import { nodeColors, @@ -53,6 +54,7 @@ export default function ParameterComponent({ required = false, optionalHandle = null, info = "", + proxy, showNode, index = "", }: ParameterComponentType): JSX.Element { @@ -81,8 +83,9 @@ export default function ParameterComponent({ const { reactFlowInstance, setFilterEdge } = useContext(typesContext); let disabled = - reactFlowInstance?.getEdges().some((edge) => edge.targetHandle === id) ?? - false; + reactFlowInstance + ?.getEdges() + .some((edge) => edge.targetHandle === scapedJSONStringfy(id)) ?? false; const { data: myData } = useContext(typesContext); @@ -113,7 +116,6 @@ export default function ParameterComponent({ const [errorDuplicateKey, setErrorDuplicateKey] = useState(false); useEffect(() => { - if (name === "openai_api_base") console.log(info); // @ts-ignore infoHtml.current = (
@@ -205,33 +207,46 @@ export default function ParameterComponent({ type === "code" || type === "prompt" || type === "file" || - type === "int") && + type === "int" || + type === "dict" || + type === "NestedDict") && !optionalHandle ? ( <> ) : ( - - - isValidConnection(connection, reactFlowInstance!) - } - className={classNames( - left ? "my-12 -ml-0.5 " : " my-12 -mr-0.5 ", - "h-3 w-3 rounded-full border-2 bg-background" - )} - style={{ - borderColor: color, - top: position, - }} - > - + ) ) : (
- {title} + {proxy ? ( + {proxy.id}}> + {title} + + ) : ( + title + )} {required ? " *" : ""}
{info !== "" && ( @@ -286,7 +307,11 @@ export default function ParameterComponent({ isValidConnection(connection, reactFlowInstance!) } @@ -372,6 +397,11 @@ export default function ParameterComponent({ ) : left === true && type === "code" ? (
{ data.node = nodeClass; @@ -408,6 +438,11 @@ export default function ParameterComponent({ ) : left === true && type === "prompt" ? (
{ data.node = nodeClass; diff --git a/src/frontend/src/CustomNodes/GenericNode/index.tsx b/src/frontend/src/CustomNodes/GenericNode/index.tsx index aac79a329..13d9813b8 100644 --- a/src/frontend/src/CustomNodes/GenericNode/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/index.tsx @@ -4,23 +4,33 @@ import { NodeToolbar, useUpdateNodeInternals } from "reactflow"; import ShadTooltip from "../../components/ShadTooltipComponent"; import Tooltip from "../../components/TooltipComponent"; import IconComponent from "../../components/genericIconComponent"; +import InputComponent from "../../components/inputComponent"; +import { Textarea } from "../../components/ui/textarea"; import { useSSE } from "../../contexts/SSEContext"; import { TabsContext } from "../../contexts/tabsContext"; import { typesContext } from "../../contexts/typesContext"; import NodeToolbarComponent from "../../pages/FlowPage/components/nodeToolbarComponent"; import { validationStatusType } from "../../types/components"; import { NodeDataType } from "../../types/flow"; -import { cleanEdges } from "../../utils/reactflowUtils"; +import { + cleanEdges, + handleKeyDown, + scapedJSONStringfy, +} from "../../utils/reactflowUtils"; import { nodeColors, nodeIconsLucide } from "../../utils/styleUtils"; import { classNames, toTitleCase } from "../../utils/utils"; import ParameterComponent from "./components/parameterComponent"; export default function GenericNode({ data: olddata, + xPos, + yPos, selected, }: { data: NodeDataType; selected: boolean; + xPos: number; + yPos: number; }): JSX.Element { const [data, setData] = useState(olddata); const { updateFlow, flows, tabId } = useContext(TabsContext); @@ -28,6 +38,12 @@ export default function GenericNode({ const { types, deleteNode, reactFlowInstance, setFilterEdge, getFilterEdge } = useContext(typesContext); const name = nodeIconsLucide[data.type] ? data.type : types[data.type]; + const [inputName, setInputName] = useState(true); + const [nodeName, setNodeName] = useState(data.node!.display_name); + const [inputDescription, setInputDescription] = useState(false); + const [nodeDescription, setNodeDescription] = useState( + data.node?.description! + ); const [validationStatus, setValidationStatus] = useState(null); const [showNode, setShowNode] = useState(true); @@ -111,6 +127,7 @@ export default function GenericNode({ <> {showNode && (
- -
- {data.node?.display_name} + {data.node?.flow && inputName ? ( +
+ { + setInputName(false); + if (nodeName.trim() !== "") { + setNodeName(nodeName); + data.node!.display_name = nodeName; + } else { + setNodeName(data.node!.display_name); + } + }} + value={nodeName} + onChange={setNodeName} + password={false} + blurOnEnter={true} + />
- + ) : ( + +
setInputName(true)} + > + {data.node?.display_name} +
+
+ )}
)}
@@ -179,16 +220,14 @@ export default function GenericNode({ !data.node!.template[templateField].advanced && ( ) )} - {data.node?.description !== "" && showNode && ( -
+ {data.node?.description !== "" && + showNode && + data.node?.flow && + inputDescription ? ( +