cleaned code
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@@ -240,31 +240,29 @@ async def _merge_edges_then_upsert(
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if await knowledge_graph_inst.has_edge(src_id, tgt_id):
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already_edge = await knowledge_graph_inst.get_edge(src_id, tgt_id)
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# Handle the case where get_edge returns None or missing fields
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if not already_edge:
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return
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if already_edge:
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# Get weight with default 0.0 if missing
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already_weights.append(already_edge.get("weight", 0.0))
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# Get weight with default 0.0 if missing
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already_weights.append(already_edge.get("weight", 0.0))
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# Get source_id with empty string default if missing or None
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if "source_id" in already_edge and already_edge["source_id"] is not None:
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already_source_ids.extend(
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split_string_by_multi_markers(
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already_edge["source_id"], [GRAPH_FIELD_SEP]
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# Get source_id with empty string default if missing or None
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if already_edge.get("source_id") is not None:
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already_source_ids.extend(
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split_string_by_multi_markers(
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already_edge["source_id"], [GRAPH_FIELD_SEP]
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)
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)
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)
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# Get description with empty string default if missing or None
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if "description" in already_edge and already_edge["description"] is not None:
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already_description.append(already_edge["description"])
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# Get description with empty string default if missing or None
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if already_edge.get("description") is not None:
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already_description.append(already_edge["description"])
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# Get keywords with empty string default if missing or None
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if "keywords" in already_edge and already_edge["keywords"] is not None:
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already_keywords.extend(
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split_string_by_multi_markers(
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already_edge["keywords"], [GRAPH_FIELD_SEP]
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# Get keywords with empty string default if missing or None
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if already_edge.get("keywords") is not None:
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already_keywords.extend(
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split_string_by_multi_markers(
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already_edge["keywords"], [GRAPH_FIELD_SEP]
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)
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)
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)
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# Process edges_data with None checks
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weight = sum([dp["weight"] for dp in edges_data] + already_weights)
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