## PRD: Enhanced Downscale Timer Management with Gradual Adjustment

This PRD focuses on refining the downscale timer within AIVA's resource management system by implementing a gradual adjustment mechanism, offering more nuanced control and stability.

### GPM-058: Implement Gradual Timer Decrease
**Goal:** Implement a mechanism to gradually decrease the downscale timer instead of resetting it immediately when resource utilization increases slightly.
**Acceptance Criteria:**
- The downscale timer decreases by a configurable percentage (e.g., 10%) every interval when resource utilization is above the hysteresis threshold but below the upscale threshold.
- The configuration for the decrease percentage is accessible through the AIVA configuration file.
- The timer resets to its full value only when the resource utilization exceeds the upscale threshold.
**Files:** `aiva/resource_manager/downscale_timer.py`, `aiva/config.yaml`
**Spawns:** Investigate the impact of different decrease percentages on system stability and responsiveness.

### GPM-059: Add Configuration for Timer Decrease Percentage
**Goal:** Allow administrators to configure the percentage by which the downscale timer decreases during each interval.
**Acceptance Criteria:**
- A new parameter, `downscale_timer_decrease_percentage`, is added to the `aiva/config.yaml` file under the resource management section.
- The value of `downscale_timer_decrease_percentage` is a floating-point number between 0 and 100, representing the percentage of timer decrease.
- The system reads the value of `downscale_timer_decrease_percentage` from the configuration file and uses it to calculate the timer decrease amount.
**Files:** `aiva/config.yaml`, `aiva/resource_manager/downscale_timer.py`
**Spawns:** Explore dynamic adjustment of the decrease percentage based on system load.

### GPM-060: Unit Test Gradual Timer Decrease
**Goal:** Create unit tests to verify the correct behavior of the gradual timer decrease mechanism.
**Acceptance Criteria:**
- Unit tests cover scenarios where resource utilization is above the hysteresis threshold but below the upscale threshold.
- Unit tests verify that the timer decreases by the configured percentage each interval.
- Unit tests cover edge cases such as the timer reaching zero and the timer being reset by exceeding the upscale threshold.
**Files:** `tests/aiva/resource_manager/test_downscale_timer.py`
**Spawns:** Develop integration tests to assess the overall impact of the gradual timer decrease on AIVA's performance.

### GPM-061: Implement Minimum Timer Value
**Goal:** Introduce a minimum value for the downscale timer to prevent it from reaching zero prematurely due to frequent small increases in resource utilization.
**Acceptance Criteria:**
- A new configuration parameter, `downscale_timer_minimum_value`, is added to `aiva/config.yaml`.
- The timer cannot be decreased below the configured `downscale_timer_minimum_value`.
- Unit tests verify that the timer stops decreasing when it reaches the minimum value.
**Files:** `aiva/resource_manager/downscale_timer.py`, `aiva/config.yaml`, `tests/aiva/resource_manager/test_downscale_timer.py`
**Spawns:** Investigate adaptive strategies for setting the minimum timer value based on system behavior.

### GPM-062: Expose Timer Status via API
**Goal:** Make the current value of the downscale timer accessible via the AIVA API for monitoring and debugging purposes.
**Acceptance Criteria:**
- A new endpoint is added to the AIVA API to retrieve the current value of the downscale timer.
- The API response includes the current timer value and any relevant metadata (e.g., timer status, last reset time).
- The API endpoint requires appropriate authentication and authorization.
**Files:** `aiva/api/endpoints.py`, `aiva/resource_manager/downscale_timer.py`
**Spawns:** Develop a dashboard to visualize the downscale timer's behavior and its relationship to resource utilization.

### GPM-063: Logging for Timer Adjustments
**Goal:** Add comprehensive logging to track timer adjustments (decreases and resets) for debugging and analysis.
**Acceptance Criteria:**
- Log messages are generated whenever the downscale timer is decreased or reset.
- Log messages include the current timer value, the resource utilization level, and the reason for the adjustment.
- Log levels are configurable to allow administrators to control the verbosity of the logging.
**Files:** `aiva/resource_manager/downscale_timer.py`
**Spawns:** Analyze the log data to identify patterns and optimize the timer's behavior.
