feat: consumption log top1 + elapsed since recording; RTSP play once

- Add top1_name/top1_conf to TSV and show top1–3 in pending markdown
- Add 相对开录 column and pass since_recording_start from surgery start
- Track surgery_started_wall and format_elapsed_mmss_since in session registry
- Remove ffmpeg stream_loop from synthetic/demo fake RTSP (play once)
- Fix fake_rtsp_from_file poll loop indentation; update README
- Extend consumption TSV tests; add face test PNGs under tests/faces

Made-with: Cursor

app/services/video/classification_handler.py

@@ -12,7 +12,7 @@
 
 from __future__ import annotations
 
-from loguru import logger
+import time
 
 from app.baked import pipeline as bp
 from app.services.consumable_vision_algorithm import (
@@ -28,6 +28,7 @@ from app.services.video.inference_aggregator import WindowInferenceReady
 from app.services.video.session_registry import (
     SurgerySessionRegistry,
     SurgerySessionState,
+    format_elapsed_mmss_since,
 )
 
 
@@ -83,6 +84,10 @@ class VisionClassificationHandler:
             camera_id=camera_id,
             wall_start_epoch=ready.wall_lo,
             wall_end_epoch=ready.wall_hi,
+            since_recording_start=format_elapsed_mmss_since(
+                state.surgery_started_wall,
+                at_epoch=ready.wall_hi,
+            ),
         )
 
     async def handle(
@@ -182,11 +187,7 @@ class VisionClassificationHandler:
         )
         if cid is None:
             return
-        logger.info(
-            "Enqueued pending consumable confirmation id={} top_key={}",
-            cid,
-            top_key,
-        )
+        at_ep = ready.wall_hi if ready is not None else time.time()
         if ready is not None and surgery_id and camera_id and (
             bp.CONSUMPTION_TSV_LOG_ENABLED
             or bp.CONSUMPTION_LOG_MARKDOWN_TERMINAL
@@ -201,6 +202,10 @@ class VisionClassificationHandler:
                 wall_end_epoch=ready.wall_hi,
                 tsv_enabled=bp.CONSUMPTION_TSV_LOG_ENABLED,
                 markdown_terminal=bp.CONSUMPTION_LOG_MARKDOWN_TERMINAL,
+                since_recording_start=format_elapsed_mmss_since(
+                    state.surgery_started_wall,
+                    at_epoch=at_ep,
+                ),
             )
         await self._registry.append_pending_consumption_detail(
             state=state,