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269 | class KnowledgeGraphQueryEngine(BaseQueryEngine):
"""知识图谱查询引擎。
调用知识图谱的查询引擎。
Args:
service_context (Optional[ServiceContext]): 要使用的服务上下文。
storage_context (Optional[StorageContext]): 要使用的存储上下文。
refresh_schema (bool): 是否刷新模式。
verbose (bool): 是否打印中间结果。
response_synthesizer (Optional[BaseSynthesizer]):
BaseSynthesizer 对象。
**kwargs: 附加关键字参数。"""
def __init__(
self,
llm: Optional[LLM] = None,
storage_context: Optional[StorageContext] = None,
graph_query_synthesis_prompt: Optional[BasePromptTemplate] = None,
graph_response_answer_prompt: Optional[BasePromptTemplate] = None,
refresh_schema: bool = False,
verbose: bool = False,
response_synthesizer: Optional[BaseSynthesizer] = None,
# deprecated
service_context: Optional[ServiceContext] = None,
**kwargs: Any,
):
# Ensure that we have a graph store
assert storage_context is not None, "Must provide a storage context."
assert (
storage_context.graph_store is not None
), "Must provide a graph store in the storage context."
self._storage_context = storage_context
self.graph_store = storage_context.graph_store
self._llm = llm or llm_from_settings_or_context(Settings, service_context)
# Get Graph schema
self._graph_schema = self.graph_store.get_schema(refresh=refresh_schema)
# Get graph store query synthesis prompt
self._graph_query_synthesis_prompt = graph_query_synthesis_prompt
self._graph_response_answer_prompt = (
graph_response_answer_prompt or DEFAULT_KG_RESPONSE_ANSWER_PROMPT
)
self._verbose = verbose
callback_manager = callback_manager_from_settings_or_context(
Settings, service_context
)
self._response_synthesizer = response_synthesizer or get_response_synthesizer(
llm=self._llm,
callback_manager=callback_manager,
service_context=service_context,
)
super().__init__(callback_manager=callback_manager)
def _get_prompts(self) -> Dict[str, Any]:
"""获取提示。"""
return {
"graph_query_synthesis_prompt": self._graph_query_synthesis_prompt,
"graph_response_answer_prompt": self._graph_response_answer_prompt,
}
def _update_prompts(self, prompts: PromptDictType) -> None:
"""更新提示。"""
if "graph_query_synthesis_prompt" in prompts:
self._graph_query_synthesis_prompt = prompts["graph_query_synthesis_prompt"]
if "graph_response_answer_prompt" in prompts:
self._graph_response_answer_prompt = prompts["graph_response_answer_prompt"]
def _get_prompt_modules(self) -> PromptMixinType:
"""获取提示子模块。"""
return {"response_synthesizer": self._response_synthesizer}
def generate_query(self, query_str: str) -> str:
"""从查询包生成图存储查询。"""
# Get the query engine query string
graph_store_query: str = self._llm.predict(
self._graph_query_synthesis_prompt,
query_str=query_str,
schema=self._graph_schema,
)
return graph_store_query
async def agenerate_query(self, query_str: str) -> str:
"""从查询包生成图存储查询。"""
# Get the query engine query string
graph_store_query: str = await self._llm.apredict(
self._graph_query_synthesis_prompt,
query_str=query_str,
schema=self._graph_schema,
)
return graph_store_query
def _retrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]:
"""获取响应的节点。"""
graph_store_query = self.generate_query(query_bundle.query_str)
if self._verbose:
print_text(f"Graph Store Query:\n{graph_store_query}\n", color="yellow")
logger.debug(f"Graph Store Query:\n{graph_store_query}")
with self.callback_manager.event(
CBEventType.RETRIEVE,
payload={EventPayload.QUERY_STR: graph_store_query},
) as retrieve_event:
# Get the graph store response
graph_store_response = self.graph_store.query(query=graph_store_query)
if self._verbose:
print_text(
f"Graph Store Response:\n{graph_store_response}\n",
color="yellow",
)
logger.debug(f"Graph Store Response:\n{graph_store_response}")
retrieve_event.on_end(payload={EventPayload.RESPONSE: graph_store_response})
retrieved_graph_context: Sequence = self._graph_response_answer_prompt.format(
query_str=query_bundle.query_str,
kg_query_str=graph_store_query,
kg_response_str=graph_store_response,
)
node = NodeWithScore(
node=TextNode(
text=retrieved_graph_context,
metadata={
"query_str": query_bundle.query_str,
"graph_store_query": graph_store_query,
"graph_store_response": graph_store_response,
"graph_schema": self._graph_schema,
},
),
score=1.0,
)
return [node]
def _query(self, query_bundle: QueryBundle) -> RESPONSE_TYPE:
"""查询图形存储。"""
with self.callback_manager.event(
CBEventType.QUERY, payload={EventPayload.QUERY_STR: query_bundle.query_str}
) as query_event:
nodes: List[NodeWithScore] = self._retrieve(query_bundle)
response = self._response_synthesizer.synthesize(
query=query_bundle,
nodes=nodes,
)
if self._verbose:
print_text(f"Final Response: {response}\n", color="green")
query_event.on_end(payload={EventPayload.RESPONSE: response})
return response
async def _aretrieve(self, query_bundle: QueryBundle) -> List[NodeWithScore]:
graph_store_query = await self.agenerate_query(query_bundle.query_str)
if self._verbose:
print_text(f"Graph Store Query:\n{graph_store_query}\n", color="yellow")
logger.debug(f"Graph Store Query:\n{graph_store_query}")
with self.callback_manager.event(
CBEventType.RETRIEVE,
payload={EventPayload.QUERY_STR: graph_store_query},
) as retrieve_event:
# Get the graph store response
# TBD: This is a blocking call. We need to make it async.
graph_store_response = self.graph_store.query(query=graph_store_query)
if self._verbose:
print_text(
f"Graph Store Response:\n{graph_store_response}\n",
color="yellow",
)
logger.debug(f"Graph Store Response:\n{graph_store_response}")
retrieve_event.on_end(payload={EventPayload.RESPONSE: graph_store_response})
retrieved_graph_context: Sequence = self._graph_response_answer_prompt.format(
query_str=query_bundle.query_str,
kg_query_str=graph_store_query,
kg_response_str=graph_store_response,
)
node = NodeWithScore(
node=TextNode(
text=retrieved_graph_context,
metadata={
"query_str": query_bundle.query_str,
"graph_store_query": graph_store_query,
"graph_store_response": graph_store_response,
"graph_schema": self._graph_schema,
},
),
score=1.0,
)
return [node]
async def _aquery(self, query_bundle: QueryBundle) -> RESPONSE_TYPE:
"""查询图形存储。"""
with self.callback_manager.event(
CBEventType.QUERY, payload={EventPayload.QUERY_STR: query_bundle.query_str}
) as query_event:
nodes = await self._aretrieve(query_bundle)
response = await self._response_synthesizer.asynthesize(
query=query_bundle,
nodes=nodes,
)
if self._verbose:
print_text(f"Final Response: {response}\n", color="green")
query_event.on_end(payload={EventPayload.RESPONSE: response})
return response
|