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,

app/services/video/session_manager.py

@@ -30,6 +30,7 @@ from app.services.video.session_registry import (
     RunningSurgery,
     SurgerySessionRegistry,
     SurgerySessionState,
+    format_elapsed_mmss_since,
 )
 from app.services.tear_gated_segment_consumption.product_map import (
     load_tear_segment_name_to_id,
@@ -166,6 +167,7 @@ class CameraSessionManager:
         state = SurgerySessionState(
             candidate_consumables=list(resolved),
             name_to_code=name_to_code,
+            surgery_started_wall=time.time(),
         )
         stop_event = asyncio.Event()
         readies = [asyncio.Event() for _ in camera_ids]
@@ -447,9 +449,13 @@ class CameraSessionManager:
 
                     if bp.VIDEO_LOG_INFERENCE_RESULTS:
                         logger.info(
-                            "Vision result surgery={} camera={} top1={}({:.3f}) top2={}({:.3f}) top3={}({:.3f})",
+                            "Vision result surgery={} camera={} 相对开录={} top1={}({:.3f}) top2={}({:.3f}) top3={}({:.3f})",
                             surgery_id,
                             camera_id,
+                            format_elapsed_mmss_since(
+                                state.surgery_started_wall,
+                                at_epoch=time.time(),
+                            ),
                             snap.t1_name,
                             snap.t1_conf,
                             snap.t2_name,

app/services/video/session_registry.py

@@ -29,6 +29,16 @@ from app.services.voice_confirm import build_prompt_text
 from app.surgery_errors import SurgeryPipelineError
 
 
+def format_elapsed_mmss_since(surgery_started_wall: float | None, *, at_epoch: float) -> str:
+    """从 ``start_surgery`` 记录的开录时刻到 ``at_epoch`` 的流逝时间（分+秒），供终端 loguru 使用。"""
+    if surgery_started_wall is None:
+        return "—"
+    sec = max(0.0, at_epoch - surgery_started_wall)
+    total = int(sec)
+    m, s = divmod(total, 60)
+    return f"{m}分{s:02d}秒"
+
+
 @dataclass
 class PendingConsumableConfirmation:
     """待客户端确认的一条低置信度识别（不阻塞后续帧推理）。"""
@@ -73,6 +83,8 @@ class SurgerySessionState:
     last_asr_text: str | None = None
     #: 最近一次语音确认错误说明（ASR/解析失败等）。
     last_voice_error: str | None = None
+    #: ``start_surgery`` 创建会话时的 ``time.time()``，用于日志中「相对开录的流逝时间」。
+    surgery_started_wall: float | None = None
 
 
 @dataclass