From 928cabbe8ba30a3210b42adfcf501472dda52812 Mon Sep 17 00:00:00 2001
From: Rantaharju Jarno <jarno.rantaharju@aalto.fi>
Date: Thu, 30 Nov 2023 13:36:35 +0200
Subject: [PATCH] Add a test for takeout activity data

---
 niimpy/sampledata/Takeout.zip             | Bin 1250 -> 4286 bytes
 tests/reading/test_read_google_takeout.py |  31 ++++++++++++++++++++++
 2 files changed, 31 insertions(+)

diff --git a/niimpy/sampledata/Takeout.zip b/niimpy/sampledata/Takeout.zip
index 0865fd76efdc32cc9cdcadf46b7d15e3831c31d5..44c1fcaaf657178d9c2848efb51b1f3e0536b0a3 100644
GIT binary patch
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diff --git a/tests/reading/test_read_google_takeout.py b/tests/reading/test_read_google_takeout.py
index 6a5ccfd7..d3b93a0a 100644
--- a/tests/reading/test_read_google_takeout.py
+++ b/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")
+