2022-07-13 08:26:05 +02:00
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from datetime import timedelta
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2021-11-11 16:36:34 +01:00
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from unittest.mock import call, patch
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import pytest
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from flask import Flask
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2022-06-11 13:10:02 +02:00
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from gpxpy.gpx import IGNORE_TOP_SPEED_PERCENTILES, MovingData
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2021-11-11 16:36:34 +01:00
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from werkzeug.datastructures import FileStorage
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2022-07-13 08:26:05 +02:00
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from fittrackee.tests.utils import random_string
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2021-11-12 12:33:47 +01:00
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from fittrackee.users.models import User, UserSportPreference
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2021-11-11 16:36:34 +01:00
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from fittrackee.workouts.models import Sport
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2022-07-13 08:26:05 +02:00
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from fittrackee.workouts.utils.workouts import get_gpx_info, process_files
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2021-11-11 16:36:34 +01:00
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folders = {
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'extract_dir': '/tmp/fitTrackee/uploads',
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'tmp_dir': '/tmp/fitTrackee/uploads/tmp',
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}
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moving_data = MovingData(
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moving_time=1,
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stopped_time=1,
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moving_distance=1,
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stopped_distance=1,
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max_speed=1,
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)
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class TestStoppedSpeedThreshold:
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@pytest.mark.parametrize(
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'sport_id, expected_threshold',
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[(1, 1.0), (2, 0.1)],
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)
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def test_it_calls_get_moving_data_with_threshold_depending_on_sport(
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self,
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app: Flask,
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user_1: User,
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gpx_file_storage: FileStorage,
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sport_1_cycling: Sport,
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sport_2_running: Sport,
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sport_id: int,
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expected_threshold: float,
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) -> None:
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with patch(
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2022-02-16 17:46:22 +01:00
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'fittrackee.workouts.utils.workouts.get_new_file_path',
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return_value='/tmp/fitTrackee/uploads/test.png',
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), patch(
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'gpxpy.gpx.GPXTrackSegment.get_moving_data',
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return_value=moving_data,
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) as gpx_track_segment_mock:
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process_files(
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auth_user=user_1,
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2021-11-11 16:36:34 +01:00
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folders=folders,
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workout_data={'sport_id': sport_id},
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workout_file=gpx_file_storage,
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)
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assert gpx_track_segment_mock.call_args_list[0] == call(
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stopped_speed_threshold=expected_threshold
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)
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gpx_track_segment_mock.assert_called_with(
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expected_threshold, # stopped_speed_threshold
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False, # raw
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IGNORE_TOP_SPEED_PERCENTILES, # speed_extreemes_percentiles
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True, # ignore_nonstandard_distances
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)
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2021-11-12 12:33:47 +01:00
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def test_it_calls_get_moving_data_with_threshold_depending_from_user_preference( # noqa
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self,
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app: Flask,
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user_1: User,
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gpx_file_storage: FileStorage,
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sport_1_cycling: Sport,
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user_sport_1_preference: UserSportPreference,
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) -> None:
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expected_threshold = 0.7
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user_sport_1_preference.stopped_speed_threshold = expected_threshold
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with patch(
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2022-02-16 17:46:22 +01:00
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'fittrackee.workouts.utils.workouts.get_new_file_path',
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2021-11-12 12:33:47 +01:00
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return_value='/tmp/fitTrackee/uploads/test.png',
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), patch(
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'gpxpy.gpx.GPXTrackSegment.get_moving_data',
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return_value=moving_data,
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) as gpx_track_segment_mock:
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process_files(
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2021-12-01 19:31:42 +01:00
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auth_user=user_1,
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folders=folders,
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workout_data={'sport_id': sport_1_cycling.id},
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workout_file=gpx_file_storage,
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)
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assert gpx_track_segment_mock.call_args_list[0] == call(
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stopped_speed_threshold=expected_threshold
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)
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gpx_track_segment_mock.assert_called_with(
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expected_threshold, # stopped_speed_threshold
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False, # raw
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IGNORE_TOP_SPEED_PERCENTILES, # speed_extreemes_percentiles
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True, # ignore_nonstandard_distances
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)
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2022-07-13 08:26:05 +02:00
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class TestGetGpxInfoStopTime:
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def test_stop_time_equals_to_0_when_gpx_file_contains_one_segment(
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self, gpx_file: str
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) -> None:
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"""
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stopped_speed_threshold to 0 to avoid calculated stopped time
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in segments
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"""
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with patch('builtins.open', return_value=gpx_file):
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gpx_data, _, _ = get_gpx_info(
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gpx_file=random_string(), stopped_speed_threshold=0.0
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)
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assert gpx_data['stop_time'] == timedelta(seconds=0)
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def test_stop_time_equals_to_stopped_time_sum_between_all_segments(
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self, gpx_file_with_3_segments: str
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) -> None:
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"""
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stopped_speed_threshold to 0 to avoid calculated stopped time
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in segments
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"""
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with patch('builtins.open', return_value=gpx_file_with_3_segments):
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gpx_data, _, _ = get_gpx_info(
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gpx_file=random_string(), stopped_speed_threshold=0.0
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)
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assert gpx_data['stop_time'] == timedelta(seconds=120)
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