# PRD: Email Throttling Alerts

This PRD defines the implementation of alerts based on email throttling metrics, building upon the existing email throttling dashboard. The goal is to proactively identify and address potential issues related to email sending limits.

### GPM-008: Define Alerting Thresholds for Throttling Metrics
**Goal:** Define configurable thresholds for key throttling metrics that will trigger alerts.
**Acceptance Criteria:**
- A configuration file (e.g., `config/throttling_alerts.yaml`) exists with default alert thresholds for metrics like:
    - `emails_sent_per_minute`
    - `emails_rejected_per_minute`
    - `percentage_rejected`
- Each metric threshold includes:
    - `warning_threshold`: Value at which a warning alert is triggered.
    - `critical_threshold`: Value at which a critical alert is triggered.
- The configuration allows disabling alerts for specific metrics.
**Files:** `config/throttling_alerts.yaml`, `docs/alert_thresholds.md`
**Spawns:** Implement dynamic threshold adjustment based on historical data and anomaly detection.

### GPM-009: Implement Basic Alerting Logic
**Goal:** Implement the core logic to compare current throttling metrics against configured thresholds and trigger alerts.
**Acceptance Criteria:**
- A function `check_throttling_alerts(metrics)` is implemented that takes a dictionary of throttling metrics as input.
- The function compares each metric against its configured thresholds.
- If a metric exceeds a warning or critical threshold, the function generates an alert message with appropriate severity (warning or critical) and the metric value.
- The function returns a list of generated alert messages.
**Files:** `aiva/alerts/throttling_alerts.py`
**Spawns:** Add support for different alert levels beyond warning and critical (e.g., informational).

### GPM-010: Integrate Alerting Logic with Dashboard Metrics
**Goal:** Integrate the alerting logic with the existing email throttling dashboard to periodically check for threshold breaches.
**Acceptance Criteria:**
- The `check_throttling_alerts()` function is called periodically (e.g., every minute) with the latest throttling metrics from the dashboard.
- Alert messages generated by `check_throttling_alerts()` are stored in a temporary in-memory queue.
**Files:** `aiva/dashboard/email_throttling_dashboard.py`, `aiva/alerts/throttling_alerts.py`
**Spawns:** Implement persistent storage for alerts and alert history.

### GPM-011: Implement Alert Delivery Mechanism (Logging)
**Goal:** Implement a basic alert delivery mechanism by logging alert messages to a designated log file.
**Acceptance Criteria:**
- A dedicated log file (`logs/throttling_alerts.log`) is created for alert messages.
- Alert messages from the in-memory queue are written to the log file with appropriate timestamps and severity levels.
- The logging implementation handles potential errors gracefully (e.g., file access issues).
**Files:** `aiva/alerts/alert_delivery.py`, `logs/throttling_alerts.log`
**Spawns:** Implement alert routing to different channels (e.g., email, Slack, PagerDuty).

### GPM-012: Add Alert Display to Email Throttling Dashboard
**Goal:** Display current alerts on the email throttling dashboard.
**Acceptance Criteria:**
- The email throttling dashboard displays a section for active alerts.
- The alert section shows the severity (warning/critical) and message of each active alert.
- The alert section is updated periodically (e.g., every minute) to reflect the latest alerts.
- The alert section includes a timestamp of when each alert was triggered.
**Files:** `aiva/dashboard/email_throttling_dashboard.py`, `templates/email_throttling_dashboard.html`
**Spawns:** Implement alert acknowledgement and resolution tracking on the dashboard.

### GPM-013: Implement Basic Alert Suppression
**Goal:** Prevent repeated alerts for the same issue by implementing basic alert suppression.
**Acceptance Criteria:**
- An alert is only generated once for a specific metric exceeding a specific threshold until the metric falls below the threshold and then exceeds it again.
- The alert suppression mechanism uses a simple in-memory cache to track which alerts have already been triggered.
- The alert suppression duration is configurable (e.g., using a setting in `config/throttling_alerts.yaml`).
**Files:** `aiva/alerts/throttling_alerts.py`
**Spawns:** Implement more sophisticated alert suppression strategies (e.g., suppression based on alert patterns).
