atlasbot: merge global metric facts into selection
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parent
f5e928fa59
commit
9cb591e469
@ -361,6 +361,17 @@ class AnswerEngine:
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)
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)
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metric_facts: list[str] = []
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metric_facts: list[str] = []
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if classify.get("question_type") in {"metric", "diagnostic"} or force_metric:
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if classify.get("question_type") in {"metric", "diagnostic"} or force_metric:
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global_metric_facts: list[str] = []
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if global_facts:
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global_metric_facts = await _select_fact_lines(
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call_llm,
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normalized,
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global_facts,
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plan,
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max_lines=min(2, max(1, plan.max_subquestions)),
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)
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if global_metric_facts:
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key_facts = _merge_fact_lines(global_metric_facts, key_facts)
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all_tokens = _merge_tokens(signal_tokens, keyword_tokens, question_tokens)
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all_tokens = _merge_tokens(signal_tokens, keyword_tokens, question_tokens)
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if plan.use_deep_retrieval:
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if plan.use_deep_retrieval:
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if observer:
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if observer:
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@ -445,6 +456,8 @@ class AnswerEngine:
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metric_facts = _merge_fact_lines([best_line], metric_facts)
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metric_facts = _merge_fact_lines([best_line], metric_facts)
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if metric_facts:
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if metric_facts:
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key_facts = _merge_fact_lines(metric_facts, key_facts)
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key_facts = _merge_fact_lines(metric_facts, key_facts)
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if global_metric_facts:
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metric_facts = _merge_fact_lines(global_metric_facts, metric_facts)
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if (classify.get("question_type") in {"metric", "diagnostic"} or force_metric) and not metric_facts and key_facts:
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if (classify.get("question_type") in {"metric", "diagnostic"} or force_metric) and not metric_facts and key_facts:
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metric_facts = key_facts
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metric_facts = key_facts
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if key_facts:
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if key_facts:
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