fleet-memory/hindsight-api/hindsight_api/engine/retain/entity_processing.py
Nicolò Boschi 9394cf92f2
fix: doc build and lint files (#34)
* fix doc build

* fix doc build
2025-12-16 13:49:09 +01:00

80 lines
2.5 KiB
Python

"""
Entity processing for retain pipeline.
Handles entity extraction, resolution, and link creation for stored facts.
"""
import logging
from . import link_utils
from .types import EntityLink, ProcessedFact
logger = logging.getLogger(__name__)
async def process_entities_batch(
entity_resolver, conn, bank_id: str, unit_ids: list[str], facts: list[ProcessedFact], log_buffer: list[str] = None
) -> list[EntityLink]:
"""
Process entities for all facts and create entity links.
This function:
1. Extracts entity mentions from fact texts
2. Resolves entity names to canonical entities
3. Creates entity records in the database
4. Returns entity links ready for insertion
Args:
entity_resolver: EntityResolver instance for entity resolution
conn: Database connection
bank_id: Bank identifier
unit_ids: List of unit IDs (same length as facts)
facts: List of ProcessedFact objects
log_buffer: Optional buffer for detailed logging
Returns:
List of EntityLink objects for batch insertion
"""
if not unit_ids or not facts:
return []
if len(unit_ids) != len(facts):
raise ValueError(f"Mismatch between unit_ids ({len(unit_ids)}) and facts ({len(facts)})")
# Extract data for link_utils function
fact_texts = [fact.fact_text for fact in facts]
# Use occurred_start if available, otherwise use mentioned_at for entity timestamps
fact_dates = [fact.occurred_start if fact.occurred_start is not None else fact.mentioned_at for fact in facts]
# Convert EntityRef objects to dict format expected by link_utils
entities_per_fact = [
[{"text": entity.name, "type": "CONCEPT"} for entity in (fact.entities or [])] for fact in facts
]
# Use existing link_utils function for entity processing
entity_links = await link_utils.extract_entities_batch_optimized(
entity_resolver,
conn,
bank_id,
unit_ids,
fact_texts,
"", # context (not used in current implementation)
fact_dates,
entities_per_fact,
log_buffer, # Pass log_buffer for detailed logging
)
return entity_links
async def insert_entity_links_batch(conn, entity_links: list[EntityLink]) -> None:
"""
Insert entity links in batch.
Args:
conn: Database connection
entity_links: List of EntityLink objects
"""
if not entity_links:
return
await link_utils.insert_entity_links_batch(conn, entity_links)