feat: add record time to delivery prediction records

capabilities/am516-delivery-prediction/docs/acceptance_samples.md

@@ -33,7 +33,8 @@ Expected:
 - when the full report exceeds one Feishu rich-text message, it is split into ordered continuation posts and no candidate is dropped;
 - record is appended.
 - the appended record contains query metadata, model parsing, and a complete Markdown table with one row per queried candidate;
-- record-table columns follow this order: 序号、型号、推荐类型、差异项、API状态、AM516预测交期、可用库存、主导因素;
+- each future appended candidate row records the same query-completion time in `YYYY-MM-DD HH:mm:ss +0800` form (with the actual local UTC offset), without rewriting or backfilling historical records;
+- record-table columns follow this order: 序号、记录时间、型号、推荐类型、差异项、API状态、AM516预测交期、可用库存、主导因素;
 - unavailable candidates remain in their original rule order and are recorded as `❌ 不存在` with unavailable result fields shown as `—`;
 
 ## Sample 2 | Missing Quantity

capabilities/am516-delivery-prediction/skills/joint-module-leadtime-report/SKILL.md

@@ -60,6 +60,13 @@ python3 capabilities/am516-delivery-prediction/scripts/delivery_prediction_query
 
 Do not use temporary curl, WebFetch, or any API method outside the controlled script.
 
+## Record Rule
+
+- Do not rewrite or backfill the existing `delivery_prediction_records.md` content when the record format changes.
+- For every future appended record block, add a `记录时间` column to the candidate-result Markdown table.
+- Use the report generation time after the query completes as the record time. Every candidate row in the same query uses the same value in `YYYY-MM-DD HH:mm:ss +0800` form (with the actual local UTC offset).
+- Record-table columns follow this order: `序号`、`记录时间`、`型号`、`推荐类型`、`差异项`、`API状态`、`AM516预测交期`、`可用库存`、`主导因素`.
+
 ## Output Selection
 
 - Prefer `data.交期汇总.AM516预测交期` when the API returns it and AR51 confirms it is usable.

shared/runtime/feishu_bot_bridge.py

@@ -573,6 +573,7 @@ def render_record(
     generation_time: datetime,
 ) -> str:
     all_count = len(candidates) + len(unavailable)
+    record_time = generation_time.strftime("%Y-%m-%d %H:%M:%S %z")
     lines = [
         f"\n## {generation_time:%Y-%m-%d %H:%M:%S %z} | {request.model} | {request.quantity}台",
         "",
@@ -589,8 +590,8 @@ def render_record(
         "",
         f"### 候选型号清单及 API 结果（共{all_count}项）",
         "",
-        "| 序号 | 型号 | 推荐类型 | 差异项 | API状态 | AM516预测交期 | 可用库存 | 主导因素 |",
-        "|---:|---|---|---|---|---|---:|---|",
+        "| 序号 | 记录时间 | 型号 | 推荐类型 | 差异项 | API状态 | AM516预测交期 | 可用库存 | 主导因素 |",
+        "|---:|---|---|---|---|---|---|---:|---|",
     ]
     record_rows = [
         (candidate["record_order"], True, candidate) for candidate in candidates
@@ -605,6 +606,7 @@ def render_record(
             api_status = "✅ 现货" if details.get("full_coverage") is True else "✅ 返回"
             row = [
                 record_order,
+                record_time,
                 candidate["model"],
                 candidate["type"],
                 candidate["difference"],
@@ -616,6 +618,7 @@ def render_record(
         else:
             row = [
                 record_order,
+                record_time,
                 candidate["model"],
                 candidate["type"],
                 candidate["difference"],