"""Production graph-to-answer context adapter; no benchmark or oracle dependencies."""
from .context_policy import joined_candidates


def graph_context(result: dict) -> dict:
    """Remove storage/profile metadata that cannot answer the actual question.

    Uses only actual retrieval output and query intent, never gold annotations.
    Values/subjects/source paths are copied without inventing or rewriting facts.
    """
    facts = []; intent = result['constraints']
    shared_year_query = intent.get('mentions_shared') and intent.get('mentions_academic_year')
    work_listing = intent.get('mentions_work_listing', False) or shared_year_query
    academic_records = []
    for row in result['facts']:
        kind = row.get('fact_type', '')
        if kind.startswith('shared_'):
            field = {'shared_keyword': 'keyword', 'shared_category': 'category',
                     'shared_document_author': 'document_author'}.get(kind)
            if field:
                for side in ['left', 'right']:
                    facts.append({'person': row[f'{side}_person'], field: row[field],
                                  'document_path': row.get(f'{side}_document_path'),
                                  'source_url': row.get(f'{side}_source_url')})
            continue
        if not row.get('person'):
            continue
        allowed = {'person', 'document_path', 'source_url', 'keyword', 'category', 'document_author'}
        if intent['mentions_title'] or work_listing:
            allowed.add('title')
        if intent['mentions_title'] or intent['mentions_academic_year'] or intent['years'] or work_listing:
            allowed.add('year')
        if intent['mentions_start_year']:
            allowed.add('start_year')
        fact = {k: v for k, v in row.items() if k in allowed and v is not None}
        if work_listing and kind in {'person_thesis', 'person_work'}:
            # Stable source record identity distinguishes two untitled projects
            # by the same person in the same year. Never use Neo4j element IDs.
            fact.update(record_id=row.get('thesis_id') or row.get('work_id'),
                        work_type=row.get('thesis_type') or row.get('work_type'),
                        work_label=row.get('heading'), title=row.get('title'))
            fact = {k: v for k, v in fact.items() if v is not None or k == 'title'}
            if fact not in academic_records:
                academic_records.append(fact)
        if fact not in facts:
            facts.append(fact)
    sources=result.get('sources')
    if sources is None:
        sources=[{k:d[k] for k in ['document_path','source_url'] if d.get(k)} for d in result.get('documents',[])]
    context={'status':result['status'],'reason':result['reason'],'facts':facts,'sources':sources,
             'aggregation':result['aggregation'],'complete':result.get('complete'),
             'truncated':result.get('truncated',False),
             'truncation_reasons':result.get('truncation_reasons',[]),
             'index_version':result.get('index_version')}
    context['answer_candidates']=joined_candidates(facts,intent)
    context['question'] = result.get('query', '')
    context['requested_people'] = list(dict.fromkeys(row['name']
        for row in result.get('resolved_entities', []) if row.get('kind') == 'Person' and row.get('name')))
    comparison = result.get('academic_year_comparison') or next((row for row in result['facts']
        if row.get('fact_type') == 'academic_year_comparison'), None)
    if comparison is not None:
        context['academic_year_comparison'] = comparison
    if work_listing:
        context['required_academic_records'] = academic_records
    return context