TradingAgents/TEST_CREATION_SUMMARY_ISSUE_9.md

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

{
    '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

   # 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

# 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)