## Product Requirements Document: Performance Testing of Hysteresis Mechanism

This PRD focuses on conducting performance testing to evaluate the impact of the hysteresis mechanism implemented in AIVA on its overall performance, particularly concerning response time, resource consumption, and scalability.

### GPM-064: Implement Performance Testing Framework
**Goal:** Establish a framework for running and analyzing performance tests on AIVA.
**Acceptance Criteria:**
- A performance testing framework is implemented using a suitable tool (e.g., Locust, JMeter, Gatling).
- The framework allows defining different load scenarios and performance metrics to track.
- The framework can generate reports summarizing the performance test results.
**Files:** `tests/performance/framework.py`, `tests/performance/config.yaml`
**Spawns:** Define baseline performance metrics for AIVA *without* hysteresis.

### GPM-065: Define Baseline Performance Metrics (No Hysteresis)
**Goal:** Establish baseline performance metrics for AIVA without the hysteresis mechanism enabled.
**Acceptance Criteria:**
- Key performance indicators (KPIs) such as response time, CPU utilization, memory usage, and throughput are defined.
- Performance tests are run on AIVA without hysteresis enabled, and the baseline metrics are recorded.
- The baseline metrics are documented and stored for comparison with subsequent tests.
**Files:** `docs/performance/baseline_metrics.md`, `tests/performance/baseline_test.py`
**Spawns:** Implement performance tests specifically targeting the hysteresis mechanism.

### GPM-066: Implement Hysteresis-Specific Performance Tests
**Goal:** Create performance tests specifically designed to evaluate the impact of the hysteresis mechanism on AIVA's performance.
**Acceptance Criteria:**
- Tests are created that simulate different usage scenarios where the hysteresis mechanism is actively used.
- Tests measure the impact of hysteresis on response time, resource consumption, and scalability under varying load conditions.
- The tests cover different hysteresis configurations (e.g., different threshold values).
**Files:** `tests/performance/hysteresis_tests.py`
**Spawns:** Analyze performance test results with hysteresis enabled and compare to the baseline.

### GPM-067: Analyze Performance Test Results with Hysteresis
**Goal:** Analyze the performance test results obtained with the hysteresis mechanism enabled and compare them to the baseline metrics.
**Acceptance Criteria:**
- Performance test results with hysteresis are collected and analyzed.
- The impact of hysteresis on KPIs is quantified and documented.
- Any performance regressions or improvements introduced by hysteresis are identified.
**Files:** `docs/performance/hysteresis_analysis.md`
**Spawns:** Optimize hysteresis parameters based on performance test results.

### GPM-068: Optimize Hysteresis Parameters Based on Performance
**Goal:** Optimize the hysteresis parameters (e.g., threshold values) based on the performance test results to achieve the best balance between accuracy and performance.
**Acceptance Criteria:**
- Different hysteresis parameter configurations are tested and evaluated.
- The optimal parameter configuration is identified based on the performance test results.
- The chosen parameter configuration is documented and implemented.
**Files:** `aiva/hysteresis_config.py`
**Spawns:** Implement monitoring to track the performance of the hysteresis mechanism in a production environment.

### GPM-069: Document Performance Testing Methodology and Results
**Goal:** Create comprehensive documentation of the performance testing methodology, test scenarios, and results.
**Acceptance Criteria:**
- A detailed document is created describing the performance testing methodology used.
- All test scenarios, configurations, and results are documented.
- The documentation provides guidance on how to reproduce the performance tests and interpret the results.
**Files:** `docs/performance/performance_testing_documentation.md`
**Spawns:** Explore alternative hysteresis algorithms or implementations.
