Move saving data out of async, save as json
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5962c80fdc
commit
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1 changed files with 45 additions and 82 deletions
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@ -8,7 +8,7 @@ See repository root for licensing information.
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from __future__ import annotations
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from __future__ import annotations
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import csv
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import asyncio
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import io
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import io
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import json
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import json
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import os
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import os
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@ -268,126 +268,89 @@ class BaseCamera(OFMThing):
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self.lores_mjpeg_stream._streaming = False
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self.lores_mjpeg_stream._streaming = False
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async def _monitor_framerate(
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async def _monitor_framerate(
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self,
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self, duration: float, output_dir: str, sample_interval: float = 0.1
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duration: float,
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output_dir: str,
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sample_interval: float = 0.1,
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) -> None:
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) -> None:
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"""Monitor the delivered MJPEG frame rate asynchronously.
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This method listens to frames arriving on self.mjpeg_stream and records
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timing information without directly interacting with the underlying
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``Picamera2`` instance.
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Writes a CSV log file with timestamp, frame count, and size of the most
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recent MJPEG frame in bytes
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Monitoring stops automatically after ``duration`` seconds, or earlier if
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``self._framerate_monitor_running`` is set to ``False``.
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:param duration: Total monitoring duration in seconds.
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:param output_dir: Directory in which the CSV log file will be written.
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:param sample_interval: Time interval in seconds between FPS samples.
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Default = 0.1s.
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:raises Exception: Any unexpected exception is logged before the monitor
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exits.
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"""
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try:
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try:
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os.makedirs(output_dir, exist_ok=True)
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os.makedirs(output_dir, exist_ok=True)
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timestamp = time.strftime("%Y%m%d_%H%M%S")
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timestamp = time.strftime("%Y%m%d_%H%M%S")
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log_path = os.path.join(
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log_path = os.path.join(output_dir, f"framerate_{timestamp}.json")
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output_dir,
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f"framerate_{timestamp}.csv",
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)
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start_time = time.time()
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start_time = time.time()
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last_sample_time = start_time
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last_sample_time = start_time
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last_sample_frames = 0
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last_sample_frames = 0
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frames = 0
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frames = 0
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samples = []
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self._framerate_monitor_running = True
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self._framerate_monitor_running = True
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# Store rows in memory and write once at the end
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self.logger.info("Framerate monitor started -> %s", log_path)
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sample_rows = []
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self.logger.info(
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"Starting framerate monitor for %.2fs -> %s",
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duration,
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log_path,
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)
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async for frame in self.mjpeg_stream.frame_async_generator():
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async for frame in self.mjpeg_stream.frame_async_generator():
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if not self._framerate_monitor_running:
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if not self._framerate_monitor_running:
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self.logger.info("Framerate monitor stopped externally")
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break
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break
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now = time.time()
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now = time.time()
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frames += 1
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frames += 1
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frame_size = len(frame)
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# take data every sample_interval seconds
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if now - last_sample_time >= sample_interval:
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if now - last_sample_time >= sample_interval:
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interval = now - last_sample_time
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interval = now - last_sample_time
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fps = (frames - last_sample_frames) / interval
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instant_fps = (frames - last_sample_frames) / interval
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samples.append((now, frames, len(frame), fps))
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sample_rows.append(
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[
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now,
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frames,
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frame_size,
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]
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)
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self.logger.info(
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"[Framerate test] FPS=%.2f, size=%d B",
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instant_fps,
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frame_size,
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)
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last_sample_time = now
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last_sample_time = now
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last_sample_frames = frames
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last_sample_frames = frames
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if now - start_time >= duration:
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if now - start_time >= duration:
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self.logger.info("Framerate monitor duration reached")
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break
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break
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total_time = time.time() - start_time
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# write to disk outside of async
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avg_fps = frames / total_time if total_time > 0 else 0
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await asyncio.to_thread(
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self._write_framerate_json, log_path, samples, start_time, frames
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# Write CSV once at completion
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with open(log_path, "w", newline="") as csv_file:
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writer = csv.writer(csv_file)
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writer.writerow(
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[
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"timestamp",
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"frame_count",
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"frame_size_bytes",
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]
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)
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writer.writerows(sample_rows)
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writer.writerow([])
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writer.writerow(["TOTAL_DURATION", total_time])
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writer.writerow(["TOTAL_FRAMES", frames])
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writer.writerow(["AVG_FPS", avg_fps])
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self.logger.info(
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"[Framerate test complete] Frames=%d, Avg FPS=%.2f",
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frames,
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avg_fps,
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)
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)
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self.logger.info("Framerate monitor complete")
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except Exception:
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except Exception:
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self.logger.exception("Framerate monitor crashed")
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self.logger.exception("Framerate monitor crashed")
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finally:
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finally:
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self._framerate_monitor_running = False
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self._framerate_monitor_running = False
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def _write_framerate_json(
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self,
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log_path: str,
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samples: list[tuple[float, int, int, float]],
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start_time: float,
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frames: int,
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) -> None:
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"""Write framerate monitoring results to a JSON file."""
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total_time = time.time() - start_time
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avg_fps = frames / total_time if total_time > 0 else 0
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data = {
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"summary": {
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"total_duration": total_time,
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"total_frames": frames,
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"avg_fps": avg_fps,
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},
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"samples": [
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{
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"timestamp": s[0],
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"frame_count": s[1],
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"frame_size_bytes": s[2],
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"instant_fps": s[3],
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}
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for s in samples
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],
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}
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with open(log_path, "w") as f:
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json.dump(data, f, indent=2)
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@lt.action
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@lt.action
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def record_framerate_async(
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def record_framerate_async(
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self,
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self,
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