fix: Ensures complete metadata (source_id, created_at, file_path) is preserved in aquery_data responses

This commit is contained in:
yangdx 2025-09-15 03:45:09 +08:00
parent e71229698d
commit 37d01e2df8
2 changed files with 113 additions and 33 deletions

View file

@ -2832,6 +2832,8 @@ async def _apply_token_truncation(
"relations_context": [], "relations_context": [],
"filtered_entities": search_result["final_entities"], "filtered_entities": search_result["final_entities"],
"filtered_relations": search_result["final_relations"], "filtered_relations": search_result["final_relations"],
"entity_id_to_original": {},
"relation_id_to_original": {},
} }
# Get token limits from query_param with fallbacks # Get token limits from query_param with fallbacks
@ -2849,17 +2851,25 @@ async def _apply_token_truncation(
final_entities = search_result["final_entities"] final_entities = search_result["final_entities"]
final_relations = search_result["final_relations"] final_relations = search_result["final_relations"]
# Create mappings from entity/relation identifiers to original data
entity_id_to_original = {}
relation_id_to_original = {}
# Generate entities context for truncation # Generate entities context for truncation
entities_context = [] entities_context = []
for i, entity in enumerate(final_entities): for i, entity in enumerate(final_entities):
entity_name = entity["entity_name"]
created_at = entity.get("created_at", "UNKNOWN") created_at = entity.get("created_at", "UNKNOWN")
if isinstance(created_at, (int, float)): if isinstance(created_at, (int, float)):
created_at = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(created_at)) created_at = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime(created_at))
# Store mapping from entity name to original data
entity_id_to_original[entity_name] = entity
entities_context.append( entities_context.append(
{ {
"id": i + 1, "id": i + 1,
"entity": entity["entity_name"], "entity": entity_name,
"type": entity.get("entity_type", "UNKNOWN"), "type": entity.get("entity_type", "UNKNOWN"),
"description": entity.get("description", "UNKNOWN"), "description": entity.get("description", "UNKNOWN"),
"created_at": created_at, "created_at": created_at,
@ -2880,6 +2890,10 @@ async def _apply_token_truncation(
else: else:
entity1, entity2 = relation.get("src_id"), relation.get("tgt_id") entity1, entity2 = relation.get("src_id"), relation.get("tgt_id")
# Store mapping from relation pair to original data
relation_key = (entity1, entity2)
relation_id_to_original[relation_key] = relation
relations_context.append( relations_context.append(
{ {
"id": i + 1, "id": i + 1,
@ -2898,12 +2912,15 @@ async def _apply_token_truncation(
# Apply token-based truncation # Apply token-based truncation
if entities_context: if entities_context:
# Remove file_path and created_at for token calculation # Remove file_path and created_at for token calculation
entities_context_for_truncation = []
for entity in entities_context: for entity in entities_context:
entity.pop("file_path", None) entity_copy = entity.copy()
entity.pop("created_at", None) entity_copy.pop("file_path", None)
entity_copy.pop("created_at", None)
entities_context_for_truncation.append(entity_copy)
entities_context = truncate_list_by_token_size( entities_context = truncate_list_by_token_size(
entities_context, entities_context_for_truncation,
key=lambda x: "\n".join( key=lambda x: "\n".join(
json.dumps(item, ensure_ascii=False) for item in [x] json.dumps(item, ensure_ascii=False) for item in [x]
), ),
@ -2913,12 +2930,15 @@ async def _apply_token_truncation(
if relations_context: if relations_context:
# Remove file_path and created_at for token calculation # Remove file_path and created_at for token calculation
relations_context_for_truncation = []
for relation in relations_context: for relation in relations_context:
relation.pop("file_path", None) relation_copy = relation.copy()
relation.pop("created_at", None) relation_copy.pop("file_path", None)
relation_copy.pop("created_at", None)
relations_context_for_truncation.append(relation_copy)
relations_context = truncate_list_by_token_size( relations_context = truncate_list_by_token_size(
relations_context, relations_context_for_truncation,
key=lambda x: "\n".join( key=lambda x: "\n".join(
json.dumps(item, ensure_ascii=False) for item in [x] json.dumps(item, ensure_ascii=False) for item in [x]
), ),
@ -2932,6 +2952,7 @@ async def _apply_token_truncation(
# Create filtered original data based on truncated context # Create filtered original data based on truncated context
filtered_entities = [] filtered_entities = []
filtered_entity_id_to_original = {}
if entities_context: if entities_context:
final_entity_names = {e["entity"] for e in entities_context} final_entity_names = {e["entity"] for e in entities_context}
seen_nodes = set() seen_nodes = set()
@ -2939,9 +2960,11 @@ async def _apply_token_truncation(
name = entity.get("entity_name") name = entity.get("entity_name")
if name in final_entity_names and name not in seen_nodes: if name in final_entity_names and name not in seen_nodes:
filtered_entities.append(entity) filtered_entities.append(entity)
filtered_entity_id_to_original[name] = entity
seen_nodes.add(name) seen_nodes.add(name)
filtered_relations = [] filtered_relations = []
filtered_relation_id_to_original = {}
if relations_context: if relations_context:
final_relation_pairs = {(r["entity1"], r["entity2"]) for r in relations_context} final_relation_pairs = {(r["entity1"], r["entity2"]) for r in relations_context}
seen_edges = set() seen_edges = set()
@ -2953,6 +2976,7 @@ async def _apply_token_truncation(
pair = (src, tgt) pair = (src, tgt)
if pair in final_relation_pairs and pair not in seen_edges: if pair in final_relation_pairs and pair not in seen_edges:
filtered_relations.append(relation) filtered_relations.append(relation)
filtered_relation_id_to_original[pair] = relation
seen_edges.add(pair) seen_edges.add(pair)
return { return {
@ -2962,6 +2986,8 @@ async def _apply_token_truncation(
"relations_context": relations_context, # Formatted and truncated for LLM "relations_context": relations_context, # Formatted and truncated for LLM
"filtered_entities": filtered_entities, # Original entities that passed truncation "filtered_entities": filtered_entities, # Original entities that passed truncation
"filtered_relations": filtered_relations, # Original relations that passed truncation "filtered_relations": filtered_relations, # Original relations that passed truncation
"entity_id_to_original": filtered_entity_id_to_original, # Mapping for original data lookup
"relation_id_to_original": filtered_relation_id_to_original, # Mapping for original data lookup
} }
@ -3076,6 +3102,8 @@ async def _build_llm_context(
global_config: dict[str, str], global_config: dict[str, str],
chunk_tracking: dict = None, chunk_tracking: dict = None,
return_raw_data: bool = False, return_raw_data: bool = False,
entity_id_to_original: dict = None,
relation_id_to_original: dict = None,
) -> str | tuple[str, dict[str, Any]]: ) -> str | tuple[str, dict[str, Any]]:
""" """
Build the final LLM context string with token processing. Build the final LLM context string with token processing.
@ -3304,6 +3332,8 @@ async def _build_llm_context(
relations_context, relations_context,
truncated_chunks, truncated_chunks,
query_param.mode, query_param.mode,
entity_id_to_original,
relation_id_to_original,
) )
logger.debug( logger.debug(
f"[_build_llm_context] Final data after conversion: {len(final_data.get('entities', []))} entities, {len(final_data.get('relationships', []))} relationships, {len(final_data.get('chunks', []))} chunks" f"[_build_llm_context] Final data after conversion: {len(final_data.get('entities', []))} entities, {len(final_data.get('relationships', []))} relationships, {len(final_data.get('chunks', []))} chunks"
@ -3400,6 +3430,8 @@ async def _build_query_context(
global_config=text_chunks_db.global_config, global_config=text_chunks_db.global_config,
chunk_tracking=search_result["chunk_tracking"], chunk_tracking=search_result["chunk_tracking"],
return_raw_data=True, return_raw_data=True,
entity_id_to_original=truncation_result["entity_id_to_original"],
relation_id_to_original=truncation_result["relation_id_to_original"],
) )
# Convert keywords strings to lists and add complete metadata to raw_data # Convert keywords strings to lists and add complete metadata to raw_data

View file

@ -2718,40 +2718,88 @@ def _convert_to_user_format(
relations_context: list[dict], relations_context: list[dict],
final_chunks: list[dict], final_chunks: list[dict],
query_mode: str, query_mode: str,
entity_id_to_original: dict = None,
relation_id_to_original: dict = None,
) -> dict[str, Any]: ) -> dict[str, Any]:
"""Convert internal data format to user-friendly format""" """Convert internal data format to user-friendly format using original database data"""
# Convert entities format # Convert entities format using original data when available
formatted_entities = [] formatted_entities = []
for entity in entities_context: for entity in entities_context:
formatted_entities.append( entity_name = entity.get("entity", "")
{
"entity_name": entity.get("entity", ""),
"entity_type": entity.get("type", "UNKNOWN"),
"description": entity.get("description", ""),
"source_id": entity.get("source_id", ""),
"file_path": entity.get("file_path", "unknown_source"),
"created_at": entity.get("created_at", ""),
}
)
# Convert relationships format # Try to get original data first
original_entity = None
if entity_id_to_original and entity_name in entity_id_to_original:
original_entity = entity_id_to_original[entity_name]
if original_entity:
# Use original database data
formatted_entities.append(
{
"entity_name": original_entity.get("entity_name", entity_name),
"entity_type": original_entity.get("entity_type", "UNKNOWN"),
"description": original_entity.get("description", ""),
"source_id": original_entity.get("source_id", ""),
"file_path": original_entity.get("file_path", "unknown_source"),
"created_at": original_entity.get("created_at", ""),
}
)
else:
# Fallback to LLM context data (for backward compatibility)
formatted_entities.append(
{
"entity_name": entity_name,
"entity_type": entity.get("type", "UNKNOWN"),
"description": entity.get("description", ""),
"source_id": entity.get("source_id", ""),
"file_path": entity.get("file_path", "unknown_source"),
"created_at": entity.get("created_at", ""),
}
)
# Convert relationships format using original data when available
formatted_relationships = [] formatted_relationships = []
for relation in relations_context: for relation in relations_context:
formatted_relationships.append( entity1 = relation.get("entity1", "")
{ entity2 = relation.get("entity2", "")
"src_id": relation.get("entity1", ""), relation_key = (entity1, entity2)
"tgt_id": relation.get("entity2", ""),
"description": relation.get("description", ""),
"keywords": relation.get("keywords", ""),
"weight": relation.get("weight", 1.0),
"source_id": relation.get("source_id", ""),
"file_path": relation.get("file_path", "unknown_source"),
"created_at": relation.get("created_at", ""),
}
)
# Convert chunks format # Try to get original data first
original_relation = None
if relation_id_to_original and relation_key in relation_id_to_original:
original_relation = relation_id_to_original[relation_key]
if original_relation:
# Use original database data
formatted_relationships.append(
{
"src_id": original_relation.get("src_id", entity1),
"tgt_id": original_relation.get("tgt_id", entity2),
"description": original_relation.get("description", ""),
"keywords": original_relation.get("keywords", ""),
"weight": original_relation.get("weight", 1.0),
"source_id": original_relation.get("source_id", ""),
"file_path": original_relation.get("file_path", "unknown_source"),
"created_at": original_relation.get("created_at", ""),
}
)
else:
# Fallback to LLM context data (for backward compatibility)
formatted_relationships.append(
{
"src_id": entity1,
"tgt_id": entity2,
"description": relation.get("description", ""),
"keywords": relation.get("keywords", ""),
"weight": relation.get("weight", 1.0),
"source_id": relation.get("source_id", ""),
"file_path": relation.get("file_path", "unknown_source"),
"created_at": relation.get("created_at", ""),
}
)
# Convert chunks format (chunks already contain complete data)
formatted_chunks = [] formatted_chunks = []
for i, chunk in enumerate(final_chunks): for i, chunk in enumerate(final_chunks):
chunk_data = { chunk_data = {