Add a test for takeout activity data

tests/reading/test_read_google_takeout.py

@@ -1,4 +1,7 @@
 import pandas as pd
+import numpy as np
+import pytest
+import datetime
 
 import niimpy
 from niimpy import config
@@ -19,3 +22,31 @@ def test_read_google_takeout_location():
 
     assert data['activity_type'][1] == "STILL"
     assert data['activity_inference_confidence'][1] == 62
+
+def test_read_google_takeout_activity():
+    """test reading activity data form a Google takeout file."""
+    data = niimpy.reading.google_takeout.activity(config.GOOGLE_TAKEOUT_PATH)
+
+    assert data.index[0] == pd.to_datetime("2023-11-20 00:00:00+0200")
+    assert np.isnan(data.iloc[4]["move_minutes_count"])
+    assert data.iloc[75]["move_minutes_count"] == 13.0
+    assert data.iloc[75]["calories_(kcal)"] == pytest.approx(43.42468) 
+    assert data.iloc[75]["distance_(m)"] == pytest.approx(1174.961861)
+    assert data.iloc[75]["heart_points"] == 17.0
+    assert data.iloc[75]["heart_minutes"] == 11.0
+    assert np.isnan(data.iloc[75]["low_latitude_(deg)"])
+    assert np.isnan(data.iloc[75]["low_longitude_(deg)"])
+    assert np.isnan(data.iloc[75]["high_latitude_(deg)"])
+    assert np.isnan(data.iloc[75]["high_longitude_(deg)"])
+    assert data.iloc[75]["average_speed_(m/s)"] == pytest.approx(1.539091)
+    assert data.iloc[75]["max_speed_(m/s)"] == pytest.approx(2.123024)
+    assert data.iloc[75]["min_speed_(m/s)"] == pytest.approx(0.3197519)
+    assert data.iloc[75]["step_count"] == 1537.0
+    assert np.isnan(data.iloc[75]["average_weight_(kg)"])
+    assert np.isnan(data.iloc[75]["max_weight_(kg)"])
+    assert np.isnan(data.iloc[75]["min_weight_(kg)"])
+    assert pd.isnull(data.iloc[75]["road_biking_duration"])
+    assert data.iloc[75]["start_time"] == pd.to_datetime("2023-11-20 18:45:00+02:00")
+    assert data.iloc[75]["end_time"] == pd.to_datetime("2023-11-20 19:00:00+02:00")
+    assert data.iloc[75]["walking_duration"] == pd.to_timedelta("0 days 00:00:00.337365")
+