def test_process():
result = process(_create_zip())
expected = pd.json_normalize([{
'Year': 2020,
'Month': 'JANUARY',
'Number of Places': 3,
'Places Duration [days]': 1.866,
'Activity Duration [days]': 0.0,
'Activity Distance [km]': 0.0,
'Place 1 [days]': 1.116,
'Place 2 [days]': 0.5,
'Place 3 [days]': 0.25,
'Place 4 [days]': 0.
}, {
'Year': 2021,
'Month': 'JANUARY',
'Number of Places': 4,
'Places Duration [days]': 1.866,
'Activity Duration [days]': 0.0,
'Activity Distance [km]': 0.0,
'Place 1 [days]': 0.,
'Place 2 [days]': 0.5,
'Place 3 [days]': 0.25,
'Place 4 [days]': 1.0
}])
assert_frame_equal(result["data_frames"][0], expected)
def test_process_no_matching_files():
result = process(__create_zip_no_matching_files())
expected = pd.DataFrame()
assert_frame_equal(result["data_frames"][0], expected)
"Main program to test google_semantic_location history script"
from google_semantic_location_history import process
if __name__ == '__main__':
result = process("tests/data/Location History.zip")
print("Summary:\n", result["summary"])
print("Dataframe\n", result["data_frames"])