FitTrackee/fittrackee/tests/workouts/test_utils/test_gpx.py

131 lines
4.3 KiB
Python

from datetime import timedelta
from unittest.mock import call, patch
import pytest
from flask import Flask
from gpxpy.gpx import IGNORE_TOP_SPEED_PERCENTILES, MovingData
from werkzeug.datastructures import FileStorage
from fittrackee.tests.utils import random_string
from fittrackee.users.models import User, UserSportPreference
from fittrackee.workouts.models import Sport
from fittrackee.workouts.utils.workouts import get_gpx_info, process_files
folders = {
'extract_dir': '/tmp/fitTrackee/uploads',
'tmp_dir': '/tmp/fitTrackee/uploads/tmp',
}
moving_data = MovingData(
moving_time=1,
stopped_time=1,
moving_distance=1,
stopped_distance=1,
max_speed=1,
)
class TestStoppedSpeedThreshold:
@pytest.mark.parametrize(
'sport_id, expected_threshold',
[(1, 1.0), (2, 0.1)],
)
def test_it_calls_get_moving_data_with_threshold_depending_on_sport(
self,
app: Flask,
user_1: User,
gpx_file_storage: FileStorage,
sport_1_cycling: Sport,
sport_2_running: Sport,
sport_id: int,
expected_threshold: float,
) -> None:
with patch(
'fittrackee.workouts.utils.workouts.get_new_file_path',
return_value='/tmp/fitTrackee/uploads/test.png',
), patch(
'gpxpy.gpx.GPXTrackSegment.get_moving_data',
return_value=moving_data,
) as gpx_track_segment_mock:
process_files(
auth_user=user_1,
folders=folders,
workout_data={'sport_id': sport_id},
workout_file=gpx_file_storage,
)
assert gpx_track_segment_mock.call_args_list[0] == call(
stopped_speed_threshold=expected_threshold,
raw=False
)
gpx_track_segment_mock.assert_called_with(
expected_threshold, # stopped_speed_threshold
False, # raw
IGNORE_TOP_SPEED_PERCENTILES, # speed_extreemes_percentiles
True, # ignore_nonstandard_distances
)
def test_it_calls_get_moving_data_with_threshold_depending_from_user_preference( # noqa
self,
app: Flask,
user_1: User,
gpx_file_storage: FileStorage,
sport_1_cycling: Sport,
user_sport_1_preference: UserSportPreference,
) -> None:
expected_threshold = 0.7
user_sport_1_preference.stopped_speed_threshold = expected_threshold
with patch(
'fittrackee.workouts.utils.workouts.get_new_file_path',
return_value='/tmp/fitTrackee/uploads/test.png',
), patch(
'gpxpy.gpx.GPXTrackSegment.get_moving_data',
return_value=moving_data,
) as gpx_track_segment_mock:
process_files(
auth_user=user_1,
folders=folders,
workout_data={'sport_id': sport_1_cycling.id},
workout_file=gpx_file_storage,
)
assert gpx_track_segment_mock.call_args_list[0] == call(
stopped_speed_threshold=expected_threshold,
raw=False
)
gpx_track_segment_mock.assert_called_with(
expected_threshold, # stopped_speed_threshold
False, # raw
IGNORE_TOP_SPEED_PERCENTILES, # speed_extreemes_percentiles
True, # ignore_nonstandard_distances
)
class TestGetGpxInfoStopTime:
def test_stop_time_equals_to_0_when_gpx_file_contains_one_segment(
self, gpx_file: str
) -> None:
"""
stopped_speed_threshold to 0 to avoid calculated stopped time
in segments
"""
with patch('builtins.open', return_value=gpx_file):
gpx_data, _, _ = get_gpx_info(
gpx_file=random_string(), stopped_speed_threshold=0.0
)
assert gpx_data['stop_time'] == timedelta(seconds=0)
def test_stop_time_equals_to_stopped_time_sum_between_all_segments(
self, gpx_file_with_3_segments: str
) -> None:
"""
stopped_speed_threshold to 0 to avoid calculated stopped time
in segments
"""
with patch('builtins.open', return_value=gpx_file_with_3_segments):
gpx_data, _, _ = get_gpx_info(
gpx_file=random_string(), stopped_speed_threshold=0.0
)
assert gpx_data['stop_time'] == timedelta(seconds=120)