417 lines
13 KiB
Python
417 lines
13 KiB
Python
import os
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import secrets
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from unittest.mock import Mock, call, patch
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from flask import Flask
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from fittrackee import db
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from fittrackee.users.export_data import UserDataExporter, export_user_data
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from fittrackee.users.models import User, UserDataExport
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from fittrackee.workouts.models import Sport, Workout
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from ..mixins import CallArgsMixin
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from ..utils import random_int, random_string
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from ..workouts.utils import post_a_workout
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class TestUserDataExporterGetData:
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def test_it_return_serialized_user_as_info_info(
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self, app: Flask, user_1: User
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) -> None:
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exporter = UserDataExporter(user_1)
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user_data = exporter.get_user_info()
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assert user_data == user_1.serialize(user_1)
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def test_it_returns_empty_list_when_user_has_no_workouts(
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self, app: Flask, user_1: User
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) -> None:
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exporter = UserDataExporter(user_1)
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workouts_data = exporter.get_user_workouts_data()
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assert workouts_data == []
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def test_it_returns_data_for_workout_without_gpx(
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self,
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app: Flask,
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user_1: User,
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sport_1_cycling: Sport,
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workout_cycling_user_1: Workout,
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) -> None:
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exporter = UserDataExporter(user_1)
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workouts_data = exporter.get_user_workouts_data()
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assert workouts_data == [
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{
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'id': workout_cycling_user_1.short_id,
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'sport_id': sport_1_cycling.id,
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'sport_label': sport_1_cycling.label,
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'title': workout_cycling_user_1.title,
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'creation_date': workout_cycling_user_1.creation_date,
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'modification_date': workout_cycling_user_1.modification_date,
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'workout_date': workout_cycling_user_1.workout_date,
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'duration': str(workout_cycling_user_1.duration),
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'pauses': None,
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'moving': str(workout_cycling_user_1.moving),
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'distance': float(workout_cycling_user_1.distance),
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'min_alt': None,
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'max_alt': None,
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'descent': None,
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'ascent': None,
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'max_speed': float(workout_cycling_user_1.max_speed),
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'ave_speed': float(workout_cycling_user_1.ave_speed),
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'gpx': None,
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'records': [
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record.serialize()
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for record in workout_cycling_user_1.records
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],
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'segments': [],
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'weather_start': None,
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'weather_end': None,
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'notes': workout_cycling_user_1.notes,
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}
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]
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def test_it_returns_data_for_workout_with_gpx(
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self,
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app: Flask,
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user_1: User,
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sport_1_cycling: Sport,
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gpx_file: str,
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) -> None:
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_, workout_short_id = post_a_workout(app, gpx_file)
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workout = Workout.query.first()
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exporter = UserDataExporter(user_1)
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workouts_data = exporter.get_user_workouts_data()
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assert workouts_data == [
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{
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'id': workout.short_id,
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'sport_id': sport_1_cycling.id,
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'sport_label': sport_1_cycling.label,
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'title': workout.title,
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'creation_date': workout.creation_date,
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'modification_date': workout.modification_date,
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'workout_date': workout.workout_date,
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'duration': str(workout.duration),
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'pauses': None,
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'moving': str(workout.moving),
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'distance': float(workout.distance),
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'min_alt': float(workout.min_alt),
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'max_alt': float(workout.max_alt),
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'descent': float(workout.descent),
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'ascent': float(workout.ascent),
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'max_speed': float(workout.max_speed),
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'ave_speed': float(workout.ave_speed),
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'gpx': workout.gpx.split('/')[-1],
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'records': [record.serialize() for record in workout.records],
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'segments': [
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segment.serialize() for segment in workout.segments
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],
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'weather_start': None,
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'weather_end': None,
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'notes': workout.notes,
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}
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]
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def test_it_stores_only_user_workouts(
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self,
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app: Flask,
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user_1: User,
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user_2: User,
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sport_1_cycling: Sport,
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workout_cycling_user_1: Workout,
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workout_cycling_user_2: Workout,
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) -> None:
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exporter = UserDataExporter(user_1)
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workouts_data = exporter.get_user_workouts_data()
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assert [data["id"] for data in workouts_data] == [
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workout_cycling_user_1.short_id
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]
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def test_export_data_generates_json_file_in_user_directory(
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self,
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app: Flask,
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user_1: User,
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) -> None:
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data = {"foo": "bar"}
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export = UserDataExporter(user_1)
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user_directory = os.path.join(
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app.config['UPLOAD_FOLDER'], 'exports', str(user_1.id)
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)
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os.makedirs(user_directory, exist_ok=True)
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file_name = random_string()
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export.export_data(data, file_name)
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assert (
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os.path.isfile(os.path.join(user_directory, f"{file_name}.json"))
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is True
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)
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def test_it_returns_json_file_path(
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self,
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app: Flask,
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user_1: User,
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) -> None:
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data = {"foo": "bar"}
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exporter = UserDataExporter(user_1)
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user_directory = os.path.join(
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app.config['UPLOAD_FOLDER'], 'exports', str(user_1.id)
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)
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file_name = random_string()
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file_path = exporter.export_data(data, file_name)
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assert file_path == os.path.join(user_directory, f"{file_name}.json")
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class TestUserDataExporterArchive(CallArgsMixin):
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@patch.object(secrets, 'token_urlsafe')
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@patch.object(UserDataExporter, 'export_data')
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@patch('fittrackee.users.export_data.ZipFile')
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def test_it_calls_export_data_twice(
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self,
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zipfile_mock: Mock,
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export_data: Mock,
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secrets_mock: Mock,
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app: Flask,
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user_1: User,
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) -> None:
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exporter = UserDataExporter(user_1)
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exporter.generate_archive()
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export_data.assert_has_calls(
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[
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call(exporter.get_user_info(), 'user_data'),
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call(exporter.get_user_workouts_data(), 'workouts_data'),
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]
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)
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@patch.object(secrets, 'token_urlsafe')
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@patch.object(UserDataExporter, 'export_data')
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@patch('fittrackee.users.export_data.ZipFile')
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def test_it_calls_zipfile_with_expected_patch(
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self,
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zipfile_mock: Mock,
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export_data: Mock,
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secrets_mock: Mock,
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app: Flask,
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user_1: User,
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) -> None:
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exporter = UserDataExporter(user_1)
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token_urlsafe = random_string()
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secrets_mock.return_value = token_urlsafe
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expected_path = os.path.join(
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app.config['UPLOAD_FOLDER'],
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'exports',
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str(user_1.id),
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f"archive_{token_urlsafe}.zip",
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)
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exporter.generate_archive()
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zipfile_mock.assert_called_once_with(expected_path, 'w')
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@patch.object(secrets, 'token_urlsafe')
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@patch.object(UserDataExporter, 'export_data')
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@patch('fittrackee.users.export_data.ZipFile')
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def test_it_calls_zipfile_for_each_json_file(
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self,
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zipfile_mock: Mock,
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export_data: Mock,
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secrets_mock: Mock,
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app: Flask,
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user_1: User,
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) -> None:
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exporter = UserDataExporter(user_1)
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token_urlsafe = random_string()
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secrets_mock.return_value = token_urlsafe
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export_data.side_effect = [call('user_info'), call('workouts_data')]
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exporter.generate_archive()
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# fmt: off
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zipfile_mock.return_value.__enter__\
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.return_value.write.assert_has_calls(
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[
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call(call('user_info'), 'user_data.json'),
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call(call('workouts_data'), 'user_workouts_data.json'),
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]
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)
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# fmt: on
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@patch.object(secrets, 'token_urlsafe')
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@patch.object(UserDataExporter, 'export_data')
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@patch('fittrackee.users.export_data.ZipFile')
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def test_it_calls_zipfile_for_gpx_file(
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self,
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zipfile_mock: Mock,
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export_data: Mock,
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secrets_mock: Mock,
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app: Flask,
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user_1: User,
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sport_1_cycling: Sport,
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gpx_file: str,
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) -> None:
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_, workout_short_id = post_a_workout(app, gpx_file)
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workout = Workout.query.first()
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expected_path = os.path.join(
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app.config['UPLOAD_FOLDER'],
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workout.gpx,
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)
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exporter = UserDataExporter(user_1)
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exporter.generate_archive()
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# fmt: off
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zipfile_mock.return_value.__enter__.\
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return_value.write.assert_has_calls(
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[
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call(expected_path, f"gpx/{workout.gpx.split('/')[-1]}"),
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]
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)
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# fmt: on
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@patch.object(secrets, 'token_urlsafe')
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@patch.object(UserDataExporter, 'export_data')
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@patch('fittrackee.users.export_data.ZipFile')
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def test_it_calls_zipfile_for_profile_image_when_exists(
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self,
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zipfile_mock: Mock,
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export_data: Mock,
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secrets_mock: Mock,
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app: Flask,
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user_1: User,
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sport_1_cycling: Sport,
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gpx_file: str,
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) -> None:
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user_1.picture = random_string()
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expected_path = os.path.join(
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app.config['UPLOAD_FOLDER'],
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user_1.picture,
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)
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exporter = UserDataExporter(user_1)
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with patch(
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'fittrackee.users.export_data.os.path.isfile', return_value=True
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):
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exporter.generate_archive()
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# fmt: off
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zipfile_mock.return_value.__enter__.\
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return_value.write.assert_has_calls(
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[
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call(expected_path, user_1.picture.split('/')[-1]),
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]
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)
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# fmt: on
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@patch.object(secrets, 'token_urlsafe')
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def test_it_test_it_generates_a_zip_archive(
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self,
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secrets_mock: Mock,
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app: Flask,
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user_1: User,
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) -> None:
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token_urlsafe = random_string()
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secrets_mock.return_value = token_urlsafe
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expected_path = os.path.join(
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app.config['UPLOAD_FOLDER'],
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'exports',
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str(user_1.id),
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f"archive_{token_urlsafe}.zip",
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)
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exporter = UserDataExporter(user_1)
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exporter.generate_archive()
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assert os.path.isfile(expected_path)
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@patch('fittrackee.users.export_data.appLog')
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@patch.object(UserDataExporter, 'generate_archive')
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class TestExportUserData:
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def test_it_logs_error_if_not_request_for_given_id(
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self,
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generate_archive: Mock,
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logger_mock: Mock,
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app: Flask,
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) -> None:
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request_id = random_int()
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export_user_data(export_request_id=request_id)
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logger_mock.error.assert_called_once_with(
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f"No export to process for id '{request_id}'"
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)
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def test_it_logs_error_if_request_already_processed(
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self,
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generate_archive: Mock,
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logger_mock: Mock,
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app: Flask,
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user_1: User,
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) -> None:
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export_request = UserDataExport(user_id=user_1.id)
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db.session.add(export_request)
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export_request.completed = True
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db.session.commit()
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export_user_data(export_request_id=export_request.id)
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logger_mock.info.assert_called_once_with(
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f"Export id '{export_request.id}' already processed"
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)
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def test_it_updates_export_request_when_export_is_successful(
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self,
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generate_archive_mock: Mock,
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logger_mock: Mock,
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app: Flask,
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user_1: User,
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) -> None:
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export_request = UserDataExport(user_id=user_1.id)
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db.session.add(export_request)
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db.session.commit()
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archive_name = random_string()
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generate_archive_mock.return_value = (random_string(), archive_name)
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archive_size = random_int()
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with patch(
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'fittrackee.users.export_data.os.path.getsize',
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return_value=archive_size,
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):
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export_user_data(export_request_id=export_request.id)
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assert export_request.completed is True
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assert export_request.updated_at is not None
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assert export_request.file_name == archive_name
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assert export_request.file_size == archive_size
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def test_it_updates_export_request_when_export_fails(
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self,
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generate_archive_mock: Mock,
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logger_mock: Mock,
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app: Flask,
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user_1: User,
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) -> None:
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export_request = UserDataExport(user_id=user_1.id)
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db.session.add(export_request)
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db.session.commit()
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generate_archive_mock.return_value = (None, None)
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export_user_data(export_request_id=export_request.id)
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assert export_request.completed is True
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assert export_request.updated_at is not None
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assert export_request.file_name is None
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assert export_request.file_size is None
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