LightRAG/lightrag/api/routers/graph_routes.py

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