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174 lines
6.2 KiB
174 lines
6.2 KiB
"""
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This module contains all graph-related routes for the LightRAG API.
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"""
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from typing import Optional, Dict, Any
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import traceback
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from fastapi import APIRouter, Depends, Query, HTTPException
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from pydantic import BaseModel
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from lightrag.utils import logger
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from ..utils_api import get_combined_auth_dependency
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router = APIRouter(tags=["graph"])
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class EntityUpdateRequest(BaseModel):
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entity_name: str
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updated_data: Dict[str, Any]
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allow_rename: bool = False
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class RelationUpdateRequest(BaseModel):
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source_id: str
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target_id: str
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updated_data: Dict[str, Any]
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def create_graph_routes(rag, api_key: Optional[str] = None):
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combined_auth = get_combined_auth_dependency(api_key)
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@router.get("/graph/label/list", dependencies=[Depends(combined_auth)])
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async def get_graph_labels():
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"""
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Get all graph labels
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Returns:
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List[str]: List of graph labels
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"""
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try:
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return await rag.get_graph_labels()
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except Exception as e:
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logger.error(f"Error getting graph labels: {str(e)}")
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logger.error(traceback.format_exc())
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raise HTTPException(
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status_code=500, detail=f"Error getting graph labels: {str(e)}"
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)
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@router.get("/graphs", dependencies=[Depends(combined_auth)])
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async def get_knowledge_graph(
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label: str = Query(..., description="Label to get knowledge graph for"),
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max_depth: int = Query(3, description="Maximum depth of graph", ge=1),
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max_nodes: int = Query(1000, description="Maximum nodes to return", ge=1),
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):
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"""
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Retrieve a connected subgraph of nodes where the label includes the specified label.
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When reducing the number of nodes, the prioritization criteria are as follows:
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1. Hops(path) to the staring node take precedence
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2. Followed by the degree of the nodes
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Args:
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label (str): Label of the starting node
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max_depth (int, optional): Maximum depth of the subgraph,Defaults to 3
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max_nodes: Maxiumu nodes to return
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Returns:
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Dict[str, List[str]]: Knowledge graph for label
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"""
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try:
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return await rag.get_knowledge_graph(
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node_label=label,
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max_depth=max_depth,
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max_nodes=max_nodes,
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)
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except Exception as e:
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logger.error(f"Error getting knowledge graph for label '{label}': {str(e)}")
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logger.error(traceback.format_exc())
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raise HTTPException(
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status_code=500, detail=f"Error getting knowledge graph: {str(e)}"
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)
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@router.get("/graph/entity/exists", dependencies=[Depends(combined_auth)])
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async def check_entity_exists(
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name: str = Query(..., description="Entity name to check"),
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):
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"""
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Check if an entity with the given name exists in the knowledge graph
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Args:
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name (str): Name of the entity to check
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Returns:
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Dict[str, bool]: Dictionary with 'exists' key indicating if entity exists
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"""
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try:
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exists = await rag.chunk_entity_relation_graph.has_node(name)
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return {"exists": exists}
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except Exception as e:
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logger.error(f"Error checking entity existence for '{name}': {str(e)}")
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logger.error(traceback.format_exc())
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raise HTTPException(
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status_code=500, detail=f"Error checking entity existence: {str(e)}"
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)
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@router.post("/graph/entity/edit", dependencies=[Depends(combined_auth)])
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async def update_entity(request: EntityUpdateRequest):
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"""
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Update an entity's properties in the knowledge graph
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Args:
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request (EntityUpdateRequest): Request containing entity name, updated data, and rename flag
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Returns:
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Dict: Updated entity information
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"""
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try:
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result = await rag.aedit_entity(
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entity_name=request.entity_name,
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updated_data=request.updated_data,
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allow_rename=request.allow_rename,
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)
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return {
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"status": "success",
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"message": "Entity updated successfully",
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"data": result,
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}
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except ValueError as ve:
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logger.error(
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f"Validation error updating entity '{request.entity_name}': {str(ve)}"
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)
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raise HTTPException(status_code=400, detail=str(ve))
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except Exception as e:
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logger.error(f"Error updating entity '{request.entity_name}': {str(e)}")
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logger.error(traceback.format_exc())
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raise HTTPException(
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status_code=500, detail=f"Error updating entity: {str(e)}"
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)
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@router.post("/graph/relation/edit", dependencies=[Depends(combined_auth)])
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async def update_relation(request: RelationUpdateRequest):
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"""Update a relation's properties in the knowledge graph
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Args:
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request (RelationUpdateRequest): Request containing source ID, target ID and updated data
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Returns:
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Dict: Updated relation information
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"""
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try:
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result = await rag.aedit_relation(
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source_entity=request.source_id,
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target_entity=request.target_id,
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updated_data=request.updated_data,
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)
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return {
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"status": "success",
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"message": "Relation updated successfully",
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"data": result,
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}
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except ValueError as ve:
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logger.error(
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f"Validation error updating relation between '{request.source_id}' and '{request.target_id}': {str(ve)}"
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)
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raise HTTPException(status_code=400, detail=str(ve))
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except Exception as e:
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logger.error(
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f"Error updating relation between '{request.source_id}' and '{request.target_id}': {str(e)}"
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)
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logger.error(traceback.format_exc())
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raise HTTPException(
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status_code=500, detail=f"Error updating relation: {str(e)}"
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)
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return router
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