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This commit introduces the initial version of the FitTrack Report Generator, a FastAPI application for analyzing workout files. Key features include: - Parsing of FIT, TCX, and GPX workout files. - Analysis of power, heart rate, speed, and elevation data. - Generation of summary reports and charts. - REST API for single and batch workout analysis. The project structure has been set up with a `src` directory for core logic, an `api` directory for the FastAPI application, and a `tests` directory for unit, integration, and contract tests. The development workflow is configured to use Docker and modern Python tooling.
34 lines
1.4 KiB
Python
34 lines
1.4 KiB
Python
import pytest
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from unittest.mock import MagicMock, patch
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from src.core.file_parser import TcxParser, WorkoutData, WorkoutMetadata
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from datetime import datetime, timedelta
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@pytest.fixture
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def mock_tcx_parser():
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# Patch the TCXParser class where it's imported in src.core.file_parser
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with patch('src.core.file_parser.TCXParser') as mock_tcx_parser_class:
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mock_tcx_instance = MagicMock()
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mock_tcx_parser_class.return_value = mock_tcx_instance
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mock_tcx_instance.started_at = datetime(2023, 1, 1, 10, 0, 0)
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mock_tcx_instance.duration = 3600 # 1 hour
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# Mock other attributes as needed for future tests
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yield mock_tcx_parser_class
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def test_tcx_parser_initialization():
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parser = TcxParser("dummy.tcx")
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assert parser.file_path == "dummy.tcx"
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def test_tcx_parser_parse_method_returns_workout_data(mock_tcx_parser):
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parser = TcxParser("dummy.tcx")
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workout_data = parser.parse()
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mock_tcx_parser.assert_called_once_with("dummy.tcx")
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assert isinstance(workout_data, WorkoutData)
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assert isinstance(workout_data.metadata, WorkoutMetadata)
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assert workout_data.metadata.file_type == "TCX"
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assert workout_data.metadata.start_time == datetime(2023, 1, 1, 10, 0, 0)
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assert workout_data.metadata.duration == timedelta(seconds=3600)
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assert workout_data.time_series_data.empty # Currently, no time series data is mocked |