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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2026-04-27 09:45:11 +08:00
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## 1.5.5 - 2026-04-27
- 城市决策卡新增 AI 机场报文解读缓存说明:页面内存缓存保留 loading / 流式片段 / 最终结果,`localStorage` 保存最终成功 payload,后端 AI 缓存不再因 `local_time` 变化失效
- 城市决策卡兜底文案明确为“AI 机场报文解读正常”,不再使用“AI 增强可后补 / 不阻塞”这类容易被误解为 AI 未解读的表述
- 城市决策卡兜底文案明确标记“快速证据模式”,避免在 DeepSeek 未完整返回时误写成“AI 机场报文解读正常”
- 城市决策卡市场层改用完整 `all_buckets` 并严格识别 exact / range / or higher / or lower 温度桶方向,避免最高温中枢错配到不合理尾部桶
- 温度桶标签统一规范化 `C/F/°C/°F`,修复 `31°°C` 这类重复单位展示
- 决策卡展示文案将“概率差”收口为“模型-市场差”,明确口径为 `模型概率 - 市场隐含概率`