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