# PRD: Jitter Visualization Dashboard

This PRD outlines the creation of a dashboard to visualize jitter values logged by AIVA. The dashboard will provide insights into jitter behavior over time, aiding in debugging, performance analysis, and overall system understanding.

### GPM-062: Dashboard Framework Setup
**Goal:** Establish the basic framework for the jitter visualization dashboard.
**Acceptance Criteria:**
- A basic dashboard structure is created, capable of displaying placeholder data.
- The dashboard framework is integrated into the existing AIVA UI.
- Navigation to the dashboard is possible from the main AIVA UI.
**Files:** `frontend/dashboard/jitter_dashboard.html`, `frontend/dashboard/jitter_dashboard.js`, `frontend/dashboard/dashboard.css`
**Spawns:** Implement a basic line chart component for visualizing time series data.

### GPM-063: Jitter Data Retrieval API Endpoint
**Goal:** Create an API endpoint to retrieve logged jitter data.
**Acceptance Criteria:**
- A REST API endpoint is implemented to fetch jitter logs.
- The endpoint accepts parameters for specifying a time range.
- The endpoint returns jitter data in a JSON format.
- The API is secured with appropriate authentication/authorization.
**Files:** `backend/api/jitter_data.py`, `backend/models/jitter_log.py`
**Spawns:** Enhance the API endpoint with filtering capabilities based on specific modules or components.

### GPM-064: Basic Line Chart Component
**Goal:** Implement a line chart component to visualize jitter values over time.
**Acceptance Criteria:**
- A reusable line chart component is created using a suitable charting library (e.g., Chart.js, D3.js).
- The component can receive time-series data as input.
- The component displays the data as a line chart with clear axes labels.
- The component is integrated into the jitter visualization dashboard.
**Files:** `frontend/components/line_chart.js`
**Spawns:** Add tooltips to the line chart to display specific jitter values when hovering over data points.

### GPM-065: Data Binding to Line Chart
**Goal:** Connect the jitter data API endpoint to the line chart component to display real jitter data.
**Acceptance Criteria:**
- The line chart component displays data fetched from the jitter data API endpoint.
- The dashboard updates the chart when new data is available.
- The chart displays jitter values over the specified time range.
**Files:** `frontend/dashboard/jitter_dashboard.js`
**Spawns:** Implement zooming and panning functionality for the line chart.

### GPM-066: Time Range Selector
**Goal:** Implement a time range selector to allow users to specify the time period for which jitter data is displayed.
**Acceptance Criteria:**
- A time range selector component is added to the dashboard.
- The selector allows users to choose predefined time ranges (e.g., last hour, last day, last week).
- Users can also specify a custom time range using start and end dates/times.
- The line chart updates to display data for the selected time range.
**Files:** `frontend/components/time_range_selector.js`
**Spawns:** Implement data aggregation options (e.g., average, min, max) for different time granularities.

### GPM-067: Jitter Statistics Display
**Goal:** Display key statistics related to the jitter data, such as average, min, max, and standard deviation.
**Acceptance Criteria:**
- Summary statistics are calculated from the displayed jitter data.
- These statistics are displayed in a clear and concise format on the dashboard.
- The statistics are updated whenever the time range or data changes.
**Files:** `frontend/dashboard/jitter_dashboard.js`
**Spawns:** Add anomaly detection and highlighting to the jitter data visualization.

### GPM-068: Dashboard Polling for New Data
**Goal:** Implement a polling mechanism to automatically update the dashboard with new jitter data.
**Acceptance Criteria:**
- The dashboard polls the jitter data API endpoint at a configurable interval.
- New data is automatically displayed in the line chart.
- The polling mechanism is efficient and avoids excessive API requests.
**Files:** `frontend/dashboard/jitter_dashboard.js`
**Spawns:** Implement a real-time data streaming mechanism using WebSockets.
