# Test Creation Summary - Issue #9: Multi-Timeframe Aggregation ## Overview Created comprehensive test suite for multi-timeframe OHLCV aggregation feature following TDD methodology. ## Test Files Created ### 1. Unit Tests **File:** `/Users/andrewkaszubski/Dev/Spektiv/tests/unit/dataflows/test_multi_timeframe.py` **Test Classes:** - `TestValidation` (6 tests) - Empty dataframe validation - Missing DatetimeIndex detection - Missing Volume column detection - Missing OHLCV columns detection - Valid dataframe acceptance - Extra columns handling - `TestWeeklyAggregation` (10 tests) - Open = first day - High = max of period - Low = min of period - Close = last day - Volume = sum (NOT mean) - Partial week handling - Week anchor Sunday - Week anchor Monday - Numeric rounding to 2 decimals - Error string on invalid input - `TestMonthlyAggregation` (9 tests) - Open = first day - High = max of period - Low = min of period - Close = last day - Volume = sum - Month end label - Month start label - Partial month handling - Error string on invalid input - `TestResampleOHLCV` (4 tests) - Correct aggregation application - Rounding to 2 decimals - DatetimeIndex preservation - Single period handling **Total Unit Tests:** 29 ### 2. Integration Tests **File:** `/Users/andrewkaszubski/Dev/Spektiv/tests/integration/dataflows/test_multi_timeframe_integration.py` **Test Classes:** - `TestYFinanceIntegration` (4 tests) - yfinance format compatibility - Timezone handling (UTC, EST, JST) - Volume preservation across aggregations - Business day frequency handling - `TestEdgeCases` (9 tests) - Single day data - Data with gaps (weekends, holidays) - Multiple months with gaps - Intraday to daily aggregation - Chained aggregations (daily -> weekly -> monthly) - Empty result handling - Mixed frequency data - Leap year February - Year-end rollover **Total Integration Tests:** 13 ## Test Fixtures ### Unit Test Fixtures - `sample_daily_ohlcv`: 30 days of January 2024 OHLCV data - `empty_dataframe`: Empty DataFrame for validation - `missing_volume_data`: OHLC without Volume - `no_datetime_index_data`: DataFrame with integer index - `partial_week_data`: 3 days of OHLCV - `single_day_data`: 1 day of OHLCV - `data_with_extra_columns`: OHLCV with additional columns ### Integration Test Fixtures - `yfinance_format_data`: Timezone-aware data matching yfinance format - `data_with_gaps`: Market data with weekends/holidays removed - `timezone_aware_data`: Data in UTC, EST, and JST timezones ## OHLCV Aggregation Rules Tested ```python { 'Open': 'first', # First value of period 'High': 'max', # Maximum of period 'Low': 'min', # Minimum of period 'Close': 'last', # Last value of period 'Volume': 'sum' # Total volume (NOT mean) } ``` ## Test Results (RED Phase) ### Unit Tests ``` 29 tests collected 29 FAILED - ModuleNotFoundError (expected - no implementation yet) ``` ### Integration Tests ``` 13 tests collected 13 FAILED - ModuleNotFoundError (expected - no implementation yet) ``` **Total Tests:** 42 ## Test Coverage Goals The test suite aims for 80%+ coverage including: 1. **Input Validation** - Empty dataframes - Missing required columns - Invalid index types - Extra columns (should be ignored) 2. **Aggregation Logic** - OHLCV aggregation rules (first, max, min, last, sum) - Numeric precision (2 decimal places) - Partial periods (incomplete weeks/months) 3. **Configuration Options** - Week anchors (Sunday, Monday) - Month labels (period start vs period end) - Different frequencies 4. **Edge Cases** - Single day data - Data gaps (weekends, holidays) - Timezone awareness - Leap years - Year-end rollover - Chained aggregations 5. **Integration** - yfinance data format compatibility - Volume preservation - Business day handling ## Next Steps 1. **Implementation Phase (code-master)** - Create `spektiv/dataflows/multi_timeframe.py` - Implement functions: - `_validate_ohlcv_dataframe()` - `_resample_ohlcv()` - `aggregate_to_weekly()` - `aggregate_to_monthly()` 2. **Verification Phase** - Run tests to verify GREEN phase - Ensure all 42 tests pass - Check coverage with pytest-cov 3. **Documentation Phase (doc-master)** - Add docstrings with examples - Update README - Create usage guides ## Key Testing Patterns Used 1. **Arrange-Act-Assert Pattern** ```python # Arrange data = create_test_data() # Act result = aggregate_to_weekly(data) # Assert assert isinstance(result, pd.DataFrame) assert result.iloc[0]['Open'] == expected_value ``` 2. **Fixture Reuse** - Shared fixtures in `@pytest.fixture` decorators - DRY principle for test data creation 3. **Error String Validation** - Functions return error strings (not exceptions) - Tests verify error messages contain expected keywords 4. **Parametrization Ready** - Tests structured for easy addition of `@pytest.mark.parametrize` - Multiple scenarios tested independently ## Test Execution Commands ```bash # Run unit tests only pytest tests/unit/dataflows/test_multi_timeframe.py --tb=line -q # Run integration tests only pytest tests/integration/dataflows/test_multi_timeframe_integration.py --tb=line -q # Run all multi-timeframe tests pytest tests -k multi_timeframe --tb=line -q # Run with coverage pytest tests/unit/dataflows/test_multi_timeframe.py --cov=spektiv.dataflows.multi_timeframe --cov-report=term-missing ``` ## Files Modified/Created - Created: `/Users/andrewkaszubski/Dev/Spektiv/tests/unit/dataflows/test_multi_timeframe.py` - Created: `/Users/andrewkaszubski/Dev/Spektiv/tests/integration/dataflows/test_multi_timeframe_integration.py` - Created: `/Users/andrewkaszubski/Dev/Spektiv/TEST_CREATION_SUMMARY_ISSUE_9.md` ## Checkpoint Status - Test creation: COMPLETE - RED phase verification: COMPLETE - Ready for: Implementation (code-master agent)