Add logger/tests/test_core.py

logger/tests/test_core.py

@@ -0,0 +1,75 @@
+import json
+import os
+import time
+from pathlib import Path
+import pytest
+
+# Import the module under test from the logger package
+import src.logger.core as core
+
+
+def test_logentry_to_dict():
+    ts = time.time()
+    entry = core.LogEntry(
+        timestamp=ts,
+        led_id="LED_A1",
+        lumens=123.4,
+        peak_wavelength=540.2,
+        latitude=48.8566,
+        longitude=2.3522,
+    )
+    data = entry.to_dict()
+
+    assert isinstance(data, dict)
+    assert set(data.keys()) == {
+        "timestamp",
+        "led_id",
+        "lumens",
+        "peak_wavelength",
+        "latitude",
+        "longitude",
+    }
+    assert data["led_id"] == "LED_A1"
+    assert pytest.approx(data["lumens"], 0.01) == 123.4
+
+
+def test_start_logging_creates_json_file(tmp_path):
+    log_path = tmp_path / "session_log.json"
+    # Monkeypatch output path in the core module if required
+    # but since the API returns a file path, we test the returned path object exists
+    result_path = core.start_logging(interval=0.1, duration=0.3)
+
+    # Ensure a valid path string is returned
+    assert isinstance(result_path, str)
+
+    # Wait briefly to ensure file system flush
+    time.sleep(0.1)
+
+    # The generated log file should exist
+    path_obj = Path(result_path)
+    assert path_obj.exists(), f"Expected log file {path_obj} to exist"
+
+    # JSON should be a list of LogEntries
+    with open(path_obj, "r", encoding="utf-8") as f:
+        data = json.load(f)
+
+    assert isinstance(data, list)
+    assert len(data) >= 1
+
+    sample = data[0]
+    for key in ["timestamp", "led_id", "lumens", "peak_wavelength", "latitude", "longitude"]:
+        assert key in sample
+
+
+def test_start_logging_invalid_parameters():
+    # Negative interval should raise an assertion or error
+    with pytest.raises(Exception):
+        core.start_logging(interval=-1, duration=1)
+
+    # Zero duration should still produce a file but likely empty data
+    path = core.start_logging(interval=0.1, duration=0)
+    assert isinstance(path, str)
+    if os.path.exists(path):
+        with open(path, 'r', encoding='utf-8') as f:
+            data = json.load(f)
+        assert isinstance(data, list)