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Fix: meta data filter with AND logic operations. (#9687)
### What problem does this PR solve? Close #9648 ### Type of change - [x] Bug Fix (non-breaking change which fixes an issue)
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@ -307,6 +307,7 @@ def chunk_id(chunk):
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async def graph_node_to_chunk(kb_id, embd_mdl, ent_name, meta, chunks):
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global chat_limiter
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enable_timeout_assertion=os.environ.get("ENABLE_TIMEOUT_ASSERTION")
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chunk = {
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"id": get_uuid(),
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"important_kwd": [ent_name],
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@ -324,7 +325,7 @@ async def graph_node_to_chunk(kb_id, embd_mdl, ent_name, meta, chunks):
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ebd = get_embed_cache(embd_mdl.llm_name, ent_name)
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if ebd is None:
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async with chat_limiter:
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with trio.fail_after(3):
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with trio.fail_after(3 if enable_timeout_assertion else 30000000):
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ebd, _ = await trio.to_thread.run_sync(lambda: embd_mdl.encode([ent_name]))
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ebd = ebd[0]
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set_embed_cache(embd_mdl.llm_name, ent_name, ebd)
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@ -362,6 +363,7 @@ def get_relation(tenant_id, kb_id, from_ent_name, to_ent_name, size=1):
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async def graph_edge_to_chunk(kb_id, embd_mdl, from_ent_name, to_ent_name, meta, chunks):
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enable_timeout_assertion=os.environ.get("ENABLE_TIMEOUT_ASSERTION")
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chunk = {
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"id": get_uuid(),
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"from_entity_kwd": from_ent_name,
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@ -380,7 +382,7 @@ async def graph_edge_to_chunk(kb_id, embd_mdl, from_ent_name, to_ent_name, meta,
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ebd = get_embed_cache(embd_mdl.llm_name, txt)
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if ebd is None:
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async with chat_limiter:
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with trio.fail_after(3):
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with trio.fail_after(3 if enable_timeout_assertion else 300000000):
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ebd, _ = await trio.to_thread.run_sync(lambda: embd_mdl.encode([txt+f": {meta['description']}"]))
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ebd = ebd[0]
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set_embed_cache(embd_mdl.llm_name, txt, ebd)
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@ -514,9 +516,10 @@ async def set_graph(tenant_id: str, kb_id: str, embd_mdl, graph: nx.Graph, chang
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callback(msg=f"set_graph converted graph change to {len(chunks)} chunks in {now - start:.2f}s.")
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start = now
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enable_timeout_assertion=os.environ.get("ENABLE_TIMEOUT_ASSERTION")
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es_bulk_size = 4
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for b in range(0, len(chunks), es_bulk_size):
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with trio.fail_after(3):
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with trio.fail_after(3 if enable_timeout_assertion else 30000000):
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doc_store_result = await trio.to_thread.run_sync(lambda: settings.docStoreConn.insert(chunks[b:b + es_bulk_size], search.index_name(tenant_id), kb_id))
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if b % 100 == es_bulk_size and callback:
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callback(msg=f"Insert chunks: {b}/{len(chunks)}")
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