Avoid overstating fallback AI bulletin reads
The city decision fallback path is generated when the full DeepSeek city-airport read has not completed, so the reasoning copy now labels the state as fast evidence mode instead of saying the AI read is normal. Constraint: Fallback output may use only DEB, model cluster, and latest observation evidence Rejected: Keep 'AI read normal' wording | it implies a completed AI interpretation when the fallback path is active Confidence: high Scope-risk: narrow Tested: pytest tests/test_web_observability.py::test_city_ai_fallback_reasoning_identifies_fast_evidence_mode tests/test_web_observability.py::test_city_ai_partial_json_trims_dangling_taf_clause tests/test_web_observability.py::test_city_ai_schema_completion_trims_dangling_taf_clause -q
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@@ -720,12 +720,12 @@ def _build_city_ai_fallback(
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reasoning_zh = str(partial_ai.get("reasoning_zh") or "").strip() or (
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f"AI {bulletin_zh}解读已用于校准日内节奏;DEB 与多模型集合继续约束最高温中枢,后续{source_name_zh}用于确认是否需要上调或下修。"
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if partial_ai
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else f"AI {bulletin_zh}解读正常;当前结合 DEB、多模型集合和最新{source_name_zh},共同支撑本轮最高温中枢判断。"
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else f"当前为快速证据模式;DEB、多模型集合和最新{source_name_zh}共同支撑本轮最高温中枢,完整 AI {bulletin_zh}解读返回后再合并。"
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)
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reasoning_en = str(partial_ai.get("reasoning_en") or "").strip() or (
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f"The AI {bulletin_en} read is already used to calibrate the intraday pace; DEB and the model cluster still constrain the high-temperature center, while later {source_name_en} updates confirm whether to revise it."
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if partial_ai
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else f"The AI {bulletin_en} read is available; DEB, the model cluster and latest {source_name_en} jointly support the current daily-high center."
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else f"This is the fast evidence mode; DEB, the model cluster and latest {source_name_en} jointly support the current daily-high center, and the full AI {bulletin_en} read will be merged when available."
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)
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risks_zh = [f"后续{source_name_zh}若明显偏离模型路径,需及时修正最高温中枢。"]
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risks_en = [f"If later {source_name_en} updates diverge from the model path, revise the daily-high center promptly."]
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