[AI] WordPress API Client Implementation

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Ticket Information

• Assigned Team: Engineering Team
• Dependencies:
  • [AI] WordPress API Access Request #1804 (WordPress API Access Request)
  • [AI] Django Knowledge App Setup #1805 (Django Knowledge App Setup)

Context & Background

Implement the WordPress REST API client for fetching legal articles from siecobywatelska.pl. This builds on the API access obtained in #1804 and uses the Django knowledge application structure from #1805.

Reference Documents:

• Phase 1 Implementation Plan: docs/ai/phase1-implementation.rst
• WordPress API Access Documentation: [AI] WordPress API Access Request #1804

Requirements & Acceptance Criteria

• Create WordPress API client service with proper error handling
• Implement pagination support for large result sets
• Add retry logic for API failures and rate limiting
• Implement authentication using credentials from [AI] WordPress API Access Request #1804
• Create methods for fetching posts, categories, and tags
• Add comprehensive logging for API requests and responses
• Implement unit tests for all API client functionality
• Setup monitoring for API performance and availability

Implementation Steps

1. WordPress API Client Service

• Create knowledge/services/wordpress_client.py service class
• Implement session management with connection pooling
• Add timeout configuration and retry logic with exponential backoff
• Implement rate limiting compliance (100 requests/hour from [AI] WordPress API Access Request #1804)

2. Core API Methods

• Post Retrieval: Method to fetch posts with pagination support
• Individual Post Access: Method to fetch single post by ID
• Metadata Access: Methods to fetch categories and tags
• Batch Operations: Efficient fetching of multiple posts

3. Authentication Integration

• Implement authentication using credentials from [AI] WordPress API Access Request #1804
• Support multiple authentication methods (API key, OAuth, basic auth)
• Secure credential storage using Django settings and environment variables
• Add credential validation and refresh logic if applicable

4. Error Handling and Resilience

• Implement comprehensive error handling for HTTP errors
• Add retry logic for transient failures (network timeouts, 5xx errors)
• Respect rate limiting with automatic backoff when limits are reached
• Log all errors with sufficient detail for debugging
• Implement circuit breaker pattern for persistent failures

5. Data Processing and Validation

• Parse WordPress API responses into structured data
• Validate required fields are present in API responses
• Handle missing or malformed data gracefully
• Normalize data formats for consistent processing
• Extract and clean HTML content from post data

6. Testing and Monitoring

• Create comprehensive unit tests with mocked API responses
• Add integration tests using test WordPress API endpoints
• Implement performance monitoring for API response times
• Add alerting for API failures or rate limit exceeded
• Create health check endpoints for API connectivity

Technical Specifications

WordPress Client Service Requirements

• Base URL Configuration: Configurable WordPress site URL
• Authentication: Support for multiple auth methods with secure credential storage
• Rate Limiting: Built-in compliance with 100 requests/hour limit
• Pagination: Automatic handling of paginated responses
• Error Handling: Retry logic with exponential backoff for transient failures
• Logging: Comprehensive request/response logging for debugging

API Methods Required

• get_posts(page, per_page, modified_after) - Fetch posts with filtering
• get_post(post_id) - Fetch individual post
• get_categories() - Fetch all categories
• get_tags() - Fetch all tags
• test_connection() - Validate API connectivity

External Documentation

• WordPress REST API Handbook
• WordPress REST API Reference
• Python Requests Library Best Practices
• Django Service Layer Patterns

Deliverables

1. Complete WordPress API client service implementation
2. Authentication integration with secure credential management
3. Comprehensive error handling and retry logic
4. Rate limiting compliance and monitoring
5. Unit and integration test suite
6. API performance monitoring setup
7. Documentation for API client usage
8. Integration guide for content processing pipeline

Performance Requirements

• Handle API responses within 5 seconds for typical requests
• Support fetching 100+ posts per batch operation
• Maintain 99% success rate for API requests under normal conditions
• Respect rate limits without triggering 429 errors
• Graceful degradation when API is temporarily unavailable

Next Steps

• Upon completion, enable [AI] Content Ingestion Pipeline #1806 (Content Ingestion Pipeline)
• Integrate with content processing pipeline for article fetching
• Schedule integration testing with WordPress API