## PRD: Implement Adaptive Email Throttling by Recipient Domain

This PRD focuses on implementing adaptive email throttling, refining AIVA's email sending capabilities by dynamically adjusting sending rates based on the recipient domain. This will improve deliverability, reduce the risk of being marked as spam, and optimize resource utilization.

### GPM-066: Identify Recipient Domain
**Goal:** Extract the recipient domain from the email address.
**Acceptance Criteria:**
- Given an email address, the function correctly identifies and returns the domain name.
- Test cases include various valid and invalid email address formats.
- The extraction process is efficient and doesn't introduce significant latency.
**Files:** `aiva/email/domain_extractor.py`, `tests/aiva/email/test_domain_extractor.py`
**Spawns:** Implement a basic domain-based throttling mechanism using a static configuration.

### GPM-067: Implement Basic Domain-Based Throttling Configuration
**Goal:** Create a configuration structure to define email sending limits per domain.
**Acceptance Criteria:**
- A configuration file (e.g., JSON or YAML) defines the email sending limit (emails/minute) for specific domains.
- The configuration is easily readable and modifiable.
- The system can load and parse the configuration file correctly.
- Default throttling rate is used for domains not explicitly configured.
**Files:** `aiva/config/email_throttling.json`, `aiva/email/throttle_config.py`
**Spawns:** Implement the logic to read and apply the domain-based throttling configuration to email sending.

### GPM-068: Apply Domain-Based Throttling
**Goal:** Enforce email sending limits based on the recipient domain.
**Acceptance Criteria:**
- The system retrieves the sending limit for the recipient domain from the configuration.
- The system throttles email sending based on the configured limit.
- Emails exceeding the limit are either dropped or queued (configurable).
- Logs indicate the domain, sending rate, and throttling decisions.
**Files:** `aiva/email/email_sender.py`, `aiva/email/throttle_manager.py`
**Spawns:** Add metrics collection for domain-based throttling to monitor performance and identify potential issues.

### GPM-069: Collect Domain-Based Throttling Metrics
**Goal:** Gather data on email sending and throttling for each domain.
**Acceptance Criteria:**
- The system tracks the number of emails sent and throttled for each domain over time.
- Metrics are stored in a time-series database (e.g., Prometheus) or log files.
- Metrics are accessible through a dashboard or API for monitoring.
- Metrics include: emails sent, emails throttled, average delay per email, errors encountered.
**Files:** `aiva/metrics/email_metrics.py`, `aiva/email/throttle_manager.py`
**Spawns:** Implement dynamic adjustment of throttling rates based on the collected metrics and feedback from recipient email providers.

### GPM-070: Initial Dashboarding for Email Throttling
**Goal:** Create a basic dashboard for visualizing email throttling metrics.
**Acceptance Criteria:**
- A dashboard displays key metrics related to domain-based email throttling (e.g., emails sent, emails throttled, throttling rates per domain).
- The dashboard provides a real-time view of email sending performance.
- The dashboard allows for filtering and aggregation of metrics by domain and time period.
- Dashboard uses Grafana or similar visualization tool.
**Files:** `aiva/dashboards/email_throttling_dashboard.json` (Grafana dashboard definition), documentation on dashboard deployment.
**Spawns:** Implement alerts based on throttling metrics to proactively identify and address potential issues.

### GPM-071: Implement Initial Unit Tests
**Goal:** Create comprehensive unit tests for the new components.
**Acceptance Criteria:**
- Unit tests cover all critical functionalities of the domain extractor, throttle configuration loading, and throttling logic.
- High code coverage is achieved (e.g., >80%).
- Tests are automated and integrated into the CI/CD pipeline.
- Tests include positive and negative scenarios, boundary conditions, and error handling.
**Files:** `tests/aiva/email/test_domain_extractor.py`, `tests/aiva/email/test_throttle_config.py`, `tests/aiva/email/test_throttle_manager.py`
**Spawns:** Implement integration tests to verify the interaction between different components.

### GPM-072: Implement Integration Tests for Throttling
**Goal:** Create integration tests to verify the interaction between components.
**Acceptance Criteria:**
- Integration tests ensure that the domain extractor, throttling configuration, and throttling logic work together correctly.
- Tests simulate realistic email sending scenarios with different recipient domains and throttling limits.
- Tests verify that emails are sent and throttled as expected based on the configuration.
**Files:** `tests/integration/test_email_throttling.py`
**Spawns:** Research and implement strategies for handling email bounces and feedback loops to further refine throttling strategies.
