bstein/atlasbot
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

atlasbot: fix metric fact detection

Browse Source
This commit is contained in:
Brad Stein 2026-02-01 05:47:12 -03:00
parent 9827db8a49
commit d8249bba37
1 changed files with 1 additions and 1 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

2
atlasbot/engine/answerer.py
View File

@ -260,7 +260,7 @@ class AnswerEngine:
scored = await _score_chunks(call_llm, chunks, normalized, sub_questions, plan) scored = await _score_chunks(call_llm, chunks, normalized, sub_questions, plan)
selected = _select_chunks(chunks, scored, plan, keyword_tokens) selected = _select_chunks(chunks, scored, plan, keyword_tokens)
key_facts = _key_fact_lines(summary_lines, keyword_tokens) key_facts = _key_fact_lines(summary_lines, keyword_tokens)
metric_facts = [line for line in key_facts if re.search(r"\\d", line)] metric_facts = [line for line in key_facts if re.search(r"\d", line)]
if self._settings.debug_pipeline: if self._settings.debug_pipeline:
scored_preview = sorted( scored_preview = sorted(
[{"id": c["id"], "score": scored.get(c["id"], 0.0), "summary": c["summary"]} for c in chunks], [{"id": c["id"], "score": scored.get(c["id"], 0.0), "summary": c["summary"]} for c in chunks],