Data dir in cam_test_utils

This commit is contained in:
jaknapper 2026-05-13 16:09:34 +01:00
parent 3bbea44eaf
commit 817c53d1df
2 changed files with 39 additions and 44 deletions

View file

@ -1,5 +1,6 @@
"""Utilities to help with testing the camera."""
import tempfile
from contextlib import contextmanager
from typing import Optional
@ -23,7 +24,14 @@ def camera_test_env(settings_folder: Optional[str] = None):
"camera": StreamingPiCamera2,
"bg_channel_deviations_luv": ChannelDeviationLUV,
}
with LabThingsTestEnv(things=thing_conf, settings_folder=settings_folder) as env:
app_config = {
"data_folder": tempfile.mkdtemp(),
}
with LabThingsTestEnv(
things=thing_conf,
settings_folder=settings_folder,
application_config=app_config,
) as env:
yield env

View file

@ -1,7 +1,8 @@
"""Test data collection from the Raspberry Picamera."""
import csv
import json
import time
from pathlib import Path
import numpy as np
from PIL import Image
@ -34,21 +35,14 @@ def test_jpeg_and_array(picamera_client):
assert array_main.shape[1::-1] == jpeg_capture.size
def test_record_framerate_async(picamera_client, tmp_path):
"""Check that asynchronous framerate monitoring creates a valid CSV log."""
output_dir = tmp_path / "framerate"
returned_dir = picamera_client.record_framerate_async(
duration=1.0,
output_dir=str(output_dir),
)
assert returned_dir == str(output_dir)
def test_record_framerate_async(picamera_client):
"""Check that asynchronous framerate monitoring creates a valid JSON log."""
returned_dir = Path(picamera_client.record_framerate_async(duration=1.0))
# Wait slightly longer than recording duration for async task completion
time.sleep(1.5)
log_files = list(output_dir.glob("framerate_*.csv"))
log_files = list(returned_dir.glob("framerate_*.json"))
# Ensure exactly one log file was created
assert len(log_files) == 1
@ -58,43 +52,36 @@ def test_record_framerate_async(picamera_client, tmp_path):
# Ensure file is not empty
assert log_file.stat().st_size > 0
with open(log_file, newline="") as f:
rows = list(csv.reader(f))
# Load JSON
with open(log_file, "r") as f:
data = json.load(f)
# Header exists
assert rows[0] == [
"timestamp",
"frame_count",
"frame_size_bytes",
]
assert "summary" in data
assert "samples" in data
sample_rows = [
row
for row in rows[1:]
if row and row[0] not in {"TOTAL_FRAMES", "TOTAL_DURATION", "AVG_FPS"}
]
summary = data["summary"]
samples = data["samples"]
assert len(sample_rows) > 0
assert "total_duration" in summary
assert "total_frames" in summary
assert "avg_fps" in summary
# Validate sample row structure
sample_row = sample_rows[0]
assert summary["total_duration"] > 0
assert summary["total_frames"] > 0
assert summary["avg_fps"] > 0
assert len(sample_row) == 3
assert len(samples) > 0
timestamp = float(sample_row[0])
frame_count = int(sample_row[1])
frame_size = int(sample_row[2])
sample = samples[0]
# Basic sanity checks
assert timestamp > 0
assert frame_count > 0
assert frame_size > 0
# Each sample row equivalent
assert "timestamp" in sample
assert "frame_count" in sample
assert "frame_size_bytes" in sample
assert "instant_fps" in sample
assert rows[-3][0] == "TOTAL_DURATION"
assert float(rows[-3][1]) > 0
assert sample["timestamp"] > 0
assert sample["frame_count"] > 0
assert sample["frame_size_bytes"] > 0
assert rows[-2][0] == "TOTAL_FRAMES"
assert int(rows[-2][1]) > 0
assert rows[-1][0] == "AVG_FPS"
assert float(rows[-1][1]) > 0
assert samples[-1]["frame_count"] > 0