Refactor pipeline status updates and entity extraction.
- Let all parrallel jobs using one pipe_status objects - Improved thread safety with pipeline_status_lock - Only pipeline jobs can add message to pipe_status - Marked insert_custom_chunks as deprecated
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@@ -583,6 +583,7 @@ class LightRAG:
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split_by_character, split_by_character_only
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)
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# TODO: deprecated, use insert instead
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def insert_custom_chunks(
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self,
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full_text: str,
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@@ -594,6 +595,7 @@ class LightRAG:
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self.ainsert_custom_chunks(full_text, text_chunks, doc_id)
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)
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# TODO: deprecated, use ainsert instead
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async def ainsert_custom_chunks(
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self, full_text: str, text_chunks: list[str], doc_id: str | None = None
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) -> None:
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@@ -885,7 +887,7 @@ class LightRAG:
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self.chunks_vdb.upsert(chunks)
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)
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entity_relation_task = asyncio.create_task(
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self._process_entity_relation_graph(chunks)
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self._process_entity_relation_graph(chunks, pipeline_status, pipeline_status_lock)
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)
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full_docs_task = asyncio.create_task(
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self.full_docs.upsert(
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@@ -1000,21 +1002,23 @@ class LightRAG:
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pipeline_status["latest_message"] = log_message
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pipeline_status["history_messages"].append(log_message)
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async def _process_entity_relation_graph(self, chunk: dict[str, Any]) -> None:
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async def _process_entity_relation_graph(self, chunk: dict[str, Any], pipeline_status=None, pipeline_status_lock=None) -> None:
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try:
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await extract_entities(
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chunk,
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knowledge_graph_inst=self.chunk_entity_relation_graph,
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entity_vdb=self.entities_vdb,
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relationships_vdb=self.relationships_vdb,
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llm_response_cache=self.llm_response_cache,
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global_config=asdict(self),
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pipeline_status=pipeline_status,
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pipeline_status_lock=pipeline_status_lock,
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llm_response_cache=self.llm_response_cache,
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)
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except Exception as e:
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logger.error("Failed to extract entities and relationships")
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raise e
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async def _insert_done(self) -> None:
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async def _insert_done(self, pipeline_status=None, pipeline_status_lock=None) -> None:
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tasks = [
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cast(StorageNameSpace, storage_inst).index_done_callback()
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for storage_inst in [ # type: ignore
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@@ -1033,12 +1037,10 @@ class LightRAG:
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log_message = "All Insert done"
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logger.info(log_message)
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# 获取 pipeline_status 并更新 latest_message 和 history_messages
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from lightrag.kg.shared_storage import get_namespace_data
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pipeline_status = await get_namespace_data("pipeline_status")
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pipeline_status["latest_message"] = log_message
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pipeline_status["history_messages"].append(log_message)
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if pipeline_status is not None and pipeline_status_lock is not None:
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async with pipeline_status_lock:
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pipeline_status["latest_message"] = log_message
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pipeline_status["history_messages"].append(log_message)
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def insert_custom_kg(
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self, custom_kg: dict[str, Any], full_doc_id: str = None
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