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atlasbot: merge global metric facts into selection

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This commit is contained in:
Brad Stein 2026-02-04 13:36:20 -03:00
parent f5e928fa59
commit 9cb591e469
1 changed files with 17 additions and 4 deletions
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13
atlasbot/engine/answerer.py
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@ -361,6 +361,17 @@ class AnswerEngine:
)
metric_facts: list[str] = []
if classify.get("question_type") in {"metric", "diagnostic"} or force_metric:
global_metric_facts: list[str] = []
if global_facts:
global_metric_facts = await _select_fact_lines(
call_llm,
normalized,
global_facts,
plan,
max_lines=min(2, max(1, plan.max_subquestions)),
)
if global_metric_facts:
key_facts = _merge_fact_lines(global_metric_facts, key_facts)
all_tokens = _merge_tokens(signal_tokens, keyword_tokens, question_tokens)
if plan.use_deep_retrieval:
if observer:
@ -445,6 +456,8 @@ class AnswerEngine:
metric_facts = _merge_fact_lines([best_line], metric_facts)
if metric_facts:
key_facts = _merge_fact_lines(metric_facts, key_facts)
if global_metric_facts:
metric_facts = _merge_fact_lines(global_metric_facts, metric_facts)
if (classify.get("question_type") in {"metric", "diagnostic"} or force_metric) and not metric_facts and key_facts:
metric_facts = key_facts
if key_facts: