67 lines
3.6 KiB
Python
67 lines
3.6 KiB
Python
"""Production graph-to-answer context adapter; no benchmark or oracle dependencies."""
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from .context_policy import joined_candidates
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def graph_context(result: dict) -> dict:
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"""Remove storage/profile metadata that cannot answer the actual question.
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Uses only actual retrieval output and query intent, never gold annotations.
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Values/subjects/source paths are copied without inventing or rewriting facts.
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"""
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facts = []; intent = result['constraints']
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shared_year_query = intent.get('mentions_shared') and intent.get('mentions_academic_year')
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work_listing = intent.get('mentions_work_listing', False) or shared_year_query
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academic_records = []
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for row in result['facts']:
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kind = row.get('fact_type', '')
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if kind.startswith('shared_'):
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field = {'shared_keyword': 'keyword', 'shared_category': 'category',
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'shared_document_author': 'document_author'}.get(kind)
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if field:
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for side in ['left', 'right']:
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facts.append({'person': row[f'{side}_person'], field: row[field],
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'document_path': row.get(f'{side}_document_path'),
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'source_url': row.get(f'{side}_source_url')})
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continue
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if not row.get('person'):
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continue
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allowed = {'person', 'document_path', 'source_url', 'keyword', 'category', 'document_author'}
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if intent['mentions_title'] or work_listing:
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allowed.add('title')
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if intent['mentions_title'] or intent['mentions_academic_year'] or intent['years'] or work_listing:
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allowed.add('year')
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if intent['mentions_start_year']:
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allowed.add('start_year')
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fact = {k: v for k, v in row.items() if k in allowed and v is not None}
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if work_listing and kind in {'person_thesis', 'person_work'}:
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# Stable source record identity distinguishes two untitled projects
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# by the same person in the same year. Never use Neo4j element IDs.
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fact.update(record_id=row.get('thesis_id') or row.get('work_id'),
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work_type=row.get('thesis_type') or row.get('work_type'),
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work_label=row.get('heading'), title=row.get('title'))
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fact = {k: v for k, v in fact.items() if v is not None or k == 'title'}
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if fact not in academic_records:
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academic_records.append(fact)
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if fact not in facts:
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facts.append(fact)
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sources=result.get('sources')
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if sources is None:
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sources=[{k:d[k] for k in ['document_path','source_url'] if d.get(k)} for d in result.get('documents',[])]
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context={'status':result['status'],'reason':result['reason'],'facts':facts,'sources':sources,
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'aggregation':result['aggregation'],'complete':result.get('complete'),
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'truncated':result.get('truncated',False),
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'truncation_reasons':result.get('truncation_reasons',[]),
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'index_version':result.get('index_version')}
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context['answer_candidates']=joined_candidates(facts,intent)
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context['question'] = result.get('query', '')
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context['requested_people'] = list(dict.fromkeys(row['name']
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for row in result.get('resolved_entities', []) if row.get('kind') == 'Person' and row.get('name')))
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comparison = result.get('academic_year_comparison') or next((row for row in result['facts']
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if row.get('fact_type') == 'academic_year_comparison'), None)
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if comparison is not None:
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context['academic_year_comparison'] = comparison
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if work_listing:
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context['required_academic_records'] = academic_records
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return context
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