## PRD: Integration Tests for Hysteresis-Based Downscaling

This PRD defines the creation of integration tests for the hysteresis-based downscaling mechanism, building upon the successful implementation and unit testing of the core logic. These tests will evaluate the behavior of the hysteresis mechanism in a more realistic, integrated environment, ensuring it functions correctly within the broader AIVA system.

### GPM-060: Mock Data Source for Integration Tests
**Goal:** Create a mock data source that can simulate a fluctuating signal to test the hysteresis behavior.
**Acceptance Criteria:**
- The mock data source should generate a time series of numerical data with controllable frequency and amplitude.
- The mock data source should allow configuring the period over which the data fluctuates.
- The mock data source should be easily integrated into the existing testing framework.
**Files:** `tests/integration/mocks/mock_data_source.py`
**Spawns:** Implement a basic integration test using the mock data source and the hysteresis downscaling logic.

### GPM-061: Basic Integration Test with Mock Data and Hysteresis
**Goal:** Integrate the mock data source with the hysteresis downscaling logic and create a basic test to verify the downscaling occurs as expected.
**Acceptance Criteria:**
- The test should ingest data from the mock data source.
- The test should apply the hysteresis downscaling logic to the data.
- The test should assert that the output data is downscaled according to the defined hysteresis thresholds.
**Files:** `tests/integration/test_hysteresis_downscaling.py`
**Spawns:** Add more sophisticated assertions to the basic integration test, checking for specific behaviors related to threshold crossing.

### GPM-062: Assertions for Threshold Crossing Behavior
**Goal:** Enhance the integration test with assertions that specifically check for correct behavior when the input signal crosses the hysteresis thresholds.
**Acceptance Criteria:**
- The test should assert that the downscaling occurs only when the input signal exceeds the "up" threshold.
- The test should assert that the upscaling occurs only when the input signal falls below the "down" threshold.
- The test should verify that no downscaling or upscaling occurs within the hysteresis band.
**Files:** `tests/integration/test_hysteresis_downscaling.py`
**Spawns:** Introduce configuration options for the hysteresis thresholds within the integration test.

### GPM-063: Configurable Hysteresis Thresholds in Integration Tests
**Goal:** Allow configuration of the hysteresis thresholds within the integration tests to facilitate testing with different threshold values.
**Acceptance Criteria:**
- The integration test should accept parameters for the "up" and "down" thresholds.
- The tests should pass with different valid combinations of "up" and "down" threshold values.
- The threshold configuration should be easily modifiable without altering the core test logic.
**Files:** `tests/integration/test_hysteresis_downscaling.py`
**Spawns:** Explore edge cases and boundary conditions in the integration tests related to hysteresis threshold configuration.

### GPM-064: Integration Tests for Edge Cases and Boundary Conditions
**Goal:** Create integration tests that specifically target edge cases and boundary conditions related to the hysteresis thresholds (e.g., up threshold equals down threshold, extreme input values).
**Acceptance Criteria:**
- The tests should cover scenarios where the "up" and "down" thresholds are equal.
- The tests should cover scenarios with extremely high or low input values.
- The tests should ensure that the system handles these edge cases gracefully without errors.
**Files:** `tests/integration/test_hysteresis_downscaling.py`
**Spawns:** Integrate the hysteresis downscaling logic into a more complex AIVA component for further testing.

### GPM-065: Integrate Hysteresis into a Representative AIVA Component
**Goal:** Integrate the hysteresis downscaling logic into a representative AIVA component that utilizes time-series data.
**Acceptance Criteria:**
- The chosen AIVA component should be relevant and representative of real-world use cases.
- The integration should be seamless and minimally disruptive to the existing component.
- The component should utilize the hysteresis downscaling logic to process its input data.
**Files:** `src/aiva/representative_component.py`, `tests/integration/test_representative_component.py`
**Spawns:** Create integration tests that focus on the interaction between the hysteresis downscaling logic and the chosen AIVA component.
