Data dir in cam_test_utils
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2 changed files with 39 additions and 44 deletions
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@ -1,5 +1,6 @@
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"""Utilities to help with testing the camera."""
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import tempfile
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from contextlib import contextmanager
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from typing import Optional
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@ -23,7 +24,14 @@ def camera_test_env(settings_folder: Optional[str] = None):
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"camera": StreamingPiCamera2,
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"bg_channel_deviations_luv": ChannelDeviationLUV,
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}
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with LabThingsTestEnv(things=thing_conf, settings_folder=settings_folder) as env:
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app_config = {
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"data_folder": tempfile.mkdtemp(),
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}
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with LabThingsTestEnv(
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things=thing_conf,
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settings_folder=settings_folder,
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application_config=app_config,
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) as env:
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yield env
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@ -1,7 +1,8 @@
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"""Test data collection from the Raspberry Picamera."""
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import csv
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import json
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import time
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from pathlib import Path
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import numpy as np
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from PIL import Image
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@ -34,21 +35,14 @@ def test_jpeg_and_array(picamera_client):
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assert array_main.shape[1::-1] == jpeg_capture.size
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def test_record_framerate_async(picamera_client, tmp_path):
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"""Check that asynchronous framerate monitoring creates a valid CSV log."""
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output_dir = tmp_path / "framerate"
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returned_dir = picamera_client.record_framerate_async(
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duration=1.0,
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output_dir=str(output_dir),
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)
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assert returned_dir == str(output_dir)
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def test_record_framerate_async(picamera_client):
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"""Check that asynchronous framerate monitoring creates a valid JSON log."""
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returned_dir = Path(picamera_client.record_framerate_async(duration=1.0))
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# Wait slightly longer than recording duration for async task completion
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time.sleep(1.5)
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log_files = list(output_dir.glob("framerate_*.csv"))
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log_files = list(returned_dir.glob("framerate_*.json"))
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# Ensure exactly one log file was created
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assert len(log_files) == 1
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@ -58,43 +52,36 @@ def test_record_framerate_async(picamera_client, tmp_path):
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# Ensure file is not empty
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assert log_file.stat().st_size > 0
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with open(log_file, newline="") as f:
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rows = list(csv.reader(f))
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# Load JSON
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with open(log_file, "r") as f:
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data = json.load(f)
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# Header exists
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assert rows[0] == [
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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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assert "summary" in data
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assert "samples" in data
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sample_rows = [
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row
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for row in rows[1:]
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if row and row[0] not in {"TOTAL_FRAMES", "TOTAL_DURATION", "AVG_FPS"}
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]
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summary = data["summary"]
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samples = data["samples"]
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assert len(sample_rows) > 0
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assert "total_duration" in summary
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assert "total_frames" in summary
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assert "avg_fps" in summary
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# Validate sample row structure
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sample_row = sample_rows[0]
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assert summary["total_duration"] > 0
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assert summary["total_frames"] > 0
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assert summary["avg_fps"] > 0
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assert len(sample_row) == 3
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assert len(samples) > 0
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timestamp = float(sample_row[0])
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frame_count = int(sample_row[1])
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frame_size = int(sample_row[2])
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sample = samples[0]
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# Basic sanity checks
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assert timestamp > 0
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assert frame_count > 0
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assert frame_size > 0
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# Each sample row equivalent
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assert "timestamp" in sample
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assert "frame_count" in sample
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assert "frame_size_bytes" in sample
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assert "instant_fps" in sample
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assert rows[-3][0] == "TOTAL_DURATION"
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assert float(rows[-3][1]) > 0
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assert sample["timestamp"] > 0
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assert sample["frame_count"] > 0
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assert sample["frame_size_bytes"] > 0
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assert rows[-2][0] == "TOTAL_FRAMES"
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assert int(rows[-2][1]) > 0
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assert rows[-1][0] == "AVG_FPS"
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assert float(rows[-1][1]) > 0
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assert samples[-1]["frame_count"] > 0
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