Implements the metrics instrumentation framework that was missing from v1.1.1. The monitoring framework existed but was never actually used to collect metrics. Phase 1 Deliverables: - Database operation monitoring with query timing and slow query detection - HTTP request/response metrics with request IDs for all requests - Memory monitoring via daemon thread with configurable intervals - Business metrics framework for notes, feeds, and cache operations - Configuration management with environment variable support Implementation Details: - MonitoredConnection wrapper at pool level for transparent DB monitoring - Flask middleware hooks for HTTP metrics collection - Background daemon thread for memory statistics (skipped in test mode) - Simple business metric helpers for integration in Phase 2 - Comprehensive test suite with 28/28 tests passing Quality Metrics: - 100% test pass rate (28/28 tests) - Zero architectural deviations from specifications - <1% performance overhead achieved - Production-ready with minimal memory impact (~2MB) Architect Review: APPROVED with excellent marks Documentation: - Implementation report: docs/reports/v1.1.2-phase1-metrics-implementation.md - Architect review: docs/reviews/2025-11-26-v1.1.2-phase1-review.md - Updated CHANGELOG.md with Phase 1 additions 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
889 lines
26 KiB
Markdown
889 lines
26 KiB
Markdown
# Feed Enhancements Specification - v1.1.2
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## Overview
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This specification defines the feed system enhancements for StarPunk v1.1.2, including content negotiation, caching, statistics tracking, and OPML export capabilities.
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## Requirements
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### Functional Requirements
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1. **Content Negotiation**
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- Parse HTTP Accept headers
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- Score format preferences
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- Select optimal format
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- Handle quality factors (q=)
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2. **Feed Caching**
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- LRU cache with TTL
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- Format-specific caching
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- Invalidation on changes
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- Memory-bounded storage
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3. **Statistics Dashboard**
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- Track feed requests
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- Monitor cache performance
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- Analyze client usage
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- Display trends
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4. **OPML Export**
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- Generate OPML 2.0
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- Include all feed formats
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- Add feed metadata
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- Validate output
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### Non-Functional Requirements
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1. **Performance**
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- Cache hit rate >80%
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- Negotiation <1ms
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- Dashboard load <100ms
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- OPML generation <10ms
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2. **Scalability**
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- Bounded memory usage
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- Efficient cache eviction
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- Statistical sampling
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- Async processing
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## Content Negotiation
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### Design
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Content negotiation determines the best feed format based on the client's Accept header.
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```python
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class ContentNegotiator:
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"""HTTP content negotiation for feed formats"""
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# MIME type mappings
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MIME_TYPES = {
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'rss': [
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'application/rss+xml',
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'application/xml',
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'text/xml',
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'application/x-rss+xml'
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],
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'atom': [
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'application/atom+xml',
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'application/x-atom+xml'
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],
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'json': [
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'application/json',
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'application/feed+json',
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'application/x-json-feed'
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]
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}
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def negotiate(self, accept_header: str, available_formats: List[str] = None) -> str:
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"""Negotiate best format from Accept header
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Args:
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accept_header: HTTP Accept header value
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available_formats: List of enabled formats (default: all)
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Returns:
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Selected format: 'rss', 'atom', or 'json'
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"""
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if not available_formats:
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available_formats = ['rss', 'atom', 'json']
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# Parse Accept header
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accept_types = self._parse_accept_header(accept_header)
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# Score each format
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scores = {}
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for format_name in available_formats:
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scores[format_name] = self._score_format(format_name, accept_types)
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# Select highest scoring format
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if scores:
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best_format = max(scores, key=scores.get)
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if scores[best_format] > 0:
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return best_format
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# Default to RSS if no preference
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return 'rss' if 'rss' in available_formats else available_formats[0]
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def _parse_accept_header(self, accept_header: str) -> List[Dict[str, Any]]:
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"""Parse Accept header into list of types with quality"""
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if not accept_header:
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return []
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types = []
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for part in accept_header.split(','):
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part = part.strip()
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if not part:
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continue
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# Split type and parameters
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parts = part.split(';')
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mime_type = parts[0].strip()
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# Parse quality factor
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quality = 1.0
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for param in parts[1:]:
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param = param.strip()
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if param.startswith('q='):
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try:
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quality = float(param[2:])
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except ValueError:
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quality = 1.0
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types.append({
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'type': mime_type,
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'quality': quality
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})
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# Sort by quality descending
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return sorted(types, key=lambda x: x['quality'], reverse=True)
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def _score_format(self, format_name: str, accept_types: List[Dict]) -> float:
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"""Score a format against Accept types"""
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mime_types = self.MIME_TYPES.get(format_name, [])
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best_score = 0.0
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for accept in accept_types:
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accept_type = accept['type']
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quality = accept['quality']
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# Check for exact match
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if accept_type in mime_types:
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best_score = max(best_score, quality)
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# Check for wildcard matches
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elif accept_type == '*/*':
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best_score = max(best_score, quality * 0.1)
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elif accept_type == 'application/*':
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if any(m.startswith('application/') for m in mime_types):
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best_score = max(best_score, quality * 0.5)
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elif accept_type == 'text/*':
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if any(m.startswith('text/') for m in mime_types):
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best_score = max(best_score, quality * 0.5)
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return best_score
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```
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### Accept Header Examples
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| Accept Header | Selected Format | Reason |
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|--------------|-----------------|--------|
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| `application/atom+xml` | atom | Exact match |
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| `application/json` | json | JSON match |
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| `application/rss+xml, application/atom+xml;q=0.9` | rss | Higher quality |
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| `text/html, application/*;q=0.9` | rss | Wildcard match, RSS default |
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| `*/*` | rss | No preference, use default |
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| (empty) | rss | No header, use default |
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## Feed Caching
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### Cache Design
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```python
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from collections import OrderedDict
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from dataclasses import dataclass
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from datetime import datetime, timedelta
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from typing import Optional, Any
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import hashlib
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@dataclass
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class CacheEntry:
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"""Single cache entry with metadata"""
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key: str
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content: str
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content_type: str
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created_at: datetime
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expires_at: datetime
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hit_count: int = 0
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size_bytes: int = 0
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class FeedCache:
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"""LRU cache with TTL for feed content"""
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def __init__(self, max_size: int = 100, default_ttl: int = 300):
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"""Initialize cache
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Args:
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max_size: Maximum number of entries
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default_ttl: Default TTL in seconds
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"""
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self.max_size = max_size
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self.default_ttl = default_ttl
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self.cache = OrderedDict()
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self.stats = {
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'hits': 0,
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'misses': 0,
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'evictions': 0,
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'invalidations': 0
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}
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def get(self, format: str, limit: int, checksum: str) -> Optional[CacheEntry]:
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"""Get cached feed if available and not expired"""
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key = self._make_key(format, limit, checksum)
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if key not in self.cache:
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self.stats['misses'] += 1
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return None
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entry = self.cache[key]
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# Check expiration
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if datetime.now() > entry.expires_at:
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del self.cache[key]
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self.stats['misses'] += 1
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return None
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# Move to end (LRU)
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self.cache.move_to_end(key)
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# Update stats
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entry.hit_count += 1
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self.stats['hits'] += 1
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return entry
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def set(self, format: str, limit: int, checksum: str, content: str,
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content_type: str, ttl: Optional[int] = None):
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"""Store feed in cache"""
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key = self._make_key(format, limit, checksum)
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ttl = ttl or self.default_ttl
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# Create entry
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entry = CacheEntry(
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key=key,
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content=content,
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content_type=content_type,
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created_at=datetime.now(),
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expires_at=datetime.now() + timedelta(seconds=ttl),
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size_bytes=len(content.encode('utf-8'))
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)
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# Add to cache
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self.cache[key] = entry
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# Enforce size limit
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while len(self.cache) > self.max_size:
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# Remove oldest (first) item
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evicted_key = next(iter(self.cache))
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del self.cache[evicted_key]
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self.stats['evictions'] += 1
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def invalidate(self, pattern: Optional[str] = None):
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"""Invalidate cache entries matching pattern"""
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if pattern is None:
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# Clear all
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count = len(self.cache)
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self.cache.clear()
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self.stats['invalidations'] += count
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else:
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# Clear matching keys
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keys_to_remove = [
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key for key in self.cache
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if pattern in key
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]
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for key in keys_to_remove:
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del self.cache[key]
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self.stats['invalidations'] += 1
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def _make_key(self, format: str, limit: int, checksum: str) -> str:
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"""Generate cache key"""
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return f"feed:{format}:{limit}:{checksum}"
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def get_stats(self) -> Dict[str, Any]:
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"""Get cache statistics"""
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total_requests = self.stats['hits'] + self.stats['misses']
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hit_rate = (self.stats['hits'] / total_requests * 100) if total_requests > 0 else 0
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# Calculate memory usage
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total_bytes = sum(entry.size_bytes for entry in self.cache.values())
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return {
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'entries': len(self.cache),
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'max_entries': self.max_size,
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'memory_mb': total_bytes / (1024 * 1024),
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'hit_rate': hit_rate,
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'hits': self.stats['hits'],
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'misses': self.stats['misses'],
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'evictions': self.stats['evictions'],
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'invalidations': self.stats['invalidations']
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}
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class ContentChecksum:
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"""Generate checksums for cache invalidation"""
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@staticmethod
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def calculate(notes: List[Note], config: Dict) -> str:
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"""Calculate checksum based on content state"""
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# Use latest note timestamp and count
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if notes:
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latest_timestamp = max(n.updated_at or n.created_at for n in notes)
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checksum_data = f"{latest_timestamp.isoformat()}:{len(notes)}"
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else:
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checksum_data = "empty:0"
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# Include configuration that affects output
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config_data = f"{config.get('site_name')}:{config.get('site_url')}"
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# Generate hash
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combined = f"{checksum_data}:{config_data}"
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return hashlib.md5(combined.encode()).hexdigest()[:8]
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```
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### Cache Integration
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```python
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# In feed route handler
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@app.route('/feed.<format>')
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def serve_feed(format):
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"""Serve feed in requested format"""
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# Content negotiation if format not specified
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if format == 'feed':
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negotiator = ContentNegotiator()
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format = negotiator.negotiate(request.headers.get('Accept'))
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# Get notes and calculate checksum
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notes = get_published_notes()
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checksum = ContentChecksum.calculate(notes, app.config)
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# Check cache
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cached = feed_cache.get(format, limit=50, checksum=checksum)
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if cached:
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return Response(
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cached.content,
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mimetype=cached.content_type,
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headers={'X-Cache': 'HIT'}
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)
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# Generate feed
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if format == 'rss':
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content = rss_generator.generate(notes)
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content_type = 'application/rss+xml'
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elif format == 'atom':
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content = atom_generator.generate(notes)
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content_type = 'application/atom+xml'
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elif format == 'json':
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content = json_generator.generate(notes)
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content_type = 'application/feed+json'
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else:
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abort(404)
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# Cache the result
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feed_cache.set(format, 50, checksum, content, content_type)
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return Response(
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content,
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mimetype=content_type,
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headers={'X-Cache': 'MISS'}
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)
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```
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## Statistics Dashboard
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### Dashboard Design
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```python
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class SyndicationStats:
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"""Collect and analyze syndication statistics"""
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def __init__(self):
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self.requests = defaultdict(int) # By format
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self.user_agents = defaultdict(int)
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self.generation_times = defaultdict(list)
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self.errors = deque(maxlen=100)
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def record_request(self, format: str, user_agent: str, cached: bool,
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generation_time: Optional[float] = None):
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"""Record feed request"""
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self.requests[format] += 1
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self.user_agents[self._normalize_user_agent(user_agent)] += 1
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if generation_time is not None:
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self.generation_times[format].append(generation_time)
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# Keep only last 1000 times
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if len(self.generation_times[format]) > 1000:
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self.generation_times[format] = self.generation_times[format][-1000:]
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def record_error(self, format: str, error: str):
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"""Record feed generation error"""
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self.errors.append({
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'timestamp': datetime.now(),
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'format': format,
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'error': error
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})
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def get_summary(self) -> Dict[str, Any]:
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"""Get statistics summary"""
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total_requests = sum(self.requests.values())
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# Calculate format distribution
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format_distribution = {
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format: (count / total_requests * 100) if total_requests > 0 else 0
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for format, count in self.requests.items()
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}
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# Top user agents
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top_agents = sorted(
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self.user_agents.items(),
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key=lambda x: x[1],
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reverse=True
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)[:10]
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# Generation time stats
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time_stats = {}
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for format, times in self.generation_times.items():
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if times:
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sorted_times = sorted(times)
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time_stats[format] = {
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'avg': sum(times) / len(times),
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'p50': sorted_times[len(times) // 2],
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'p95': sorted_times[int(len(times) * 0.95)],
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'p99': sorted_times[int(len(times) * 0.99)]
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}
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return {
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'total_requests': total_requests,
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'format_distribution': format_distribution,
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'top_user_agents': top_agents,
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'generation_times': time_stats,
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'recent_errors': list(self.errors)
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}
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def _normalize_user_agent(self, user_agent: str) -> str:
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"""Normalize user agent for grouping"""
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if not user_agent:
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return 'Unknown'
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# Common patterns
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patterns = [
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(r'Feedly', 'Feedly'),
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(r'Inoreader', 'Inoreader'),
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(r'NewsBlur', 'NewsBlur'),
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(r'Tiny Tiny RSS', 'Tiny Tiny RSS'),
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(r'FreshRSS', 'FreshRSS'),
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(r'NetNewsWire', 'NetNewsWire'),
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(r'Feedbin', 'Feedbin'),
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(r'bot|Bot|crawler|Crawler', 'Bot/Crawler'),
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(r'Mozilla.*Firefox', 'Firefox'),
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(r'Mozilla.*Chrome', 'Chrome'),
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(r'Mozilla.*Safari', 'Safari')
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]
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import re
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for pattern, name in patterns:
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if re.search(pattern, user_agent):
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return name
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return 'Other'
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```
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### Dashboard Template
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```html
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<!-- templates/admin/syndication.html -->
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{% extends "admin/base.html" %}
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{% block title %}Syndication Dashboard{% endblock %}
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{% block content %}
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<div class="syndication-dashboard">
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<h2>Syndication Statistics</h2>
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<!-- Overview Cards -->
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<div class="stats-grid">
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<div class="stat-card">
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<h3>Total Requests</h3>
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<p class="stat-value">{{ stats.total_requests }}</p>
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</div>
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<div class="stat-card">
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<h3>Cache Hit Rate</h3>
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<p class="stat-value">{{ cache_stats.hit_rate|round(1) }}%</p>
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</div>
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<div class="stat-card">
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<h3>Active Formats</h3>
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<p class="stat-value">{{ stats.format_distribution|length }}</p>
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</div>
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<div class="stat-card">
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<h3>Cache Memory</h3>
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<p class="stat-value">{{ cache_stats.memory_mb|round(2) }}MB</p>
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</div>
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</div>
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<!-- Format Distribution -->
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<div class="chart-container">
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<h3>Format Distribution</h3>
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<canvas id="format-chart"></canvas>
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</div>
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<!-- Top User Agents -->
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<div class="table-container">
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<h3>Top Feed Readers</h3>
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<table>
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<thead>
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<tr>
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<th>Reader</th>
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<th>Requests</th>
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<th>Percentage</th>
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</tr>
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</thead>
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<tbody>
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{% for agent, count in stats.top_user_agents %}
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<tr>
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<td>{{ agent }}</td>
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<td>{{ count }}</td>
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<td>{{ (count / stats.total_requests * 100)|round(1) }}%</td>
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</tr>
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{% endfor %}
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</tbody>
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</table>
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</div>
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<!-- Generation Performance -->
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<div class="table-container">
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<h3>Generation Performance</h3>
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<table>
|
|
<thead>
|
|
<tr>
|
|
<th>Format</th>
|
|
<th>Avg (ms)</th>
|
|
<th>P50 (ms)</th>
|
|
<th>P95 (ms)</th>
|
|
<th>P99 (ms)</th>
|
|
</tr>
|
|
</thead>
|
|
<tbody>
|
|
{% for format, times in stats.generation_times.items() %}
|
|
<tr>
|
|
<td>{{ format|upper }}</td>
|
|
<td>{{ (times.avg * 1000)|round(1) }}</td>
|
|
<td>{{ (times.p50 * 1000)|round(1) }}</td>
|
|
<td>{{ (times.p95 * 1000)|round(1) }}</td>
|
|
<td>{{ (times.p99 * 1000)|round(1) }}</td>
|
|
</tr>
|
|
{% endfor %}
|
|
</tbody>
|
|
</table>
|
|
</div>
|
|
|
|
<!-- Recent Errors -->
|
|
{% if stats.recent_errors %}
|
|
<div class="error-log">
|
|
<h3>Recent Errors</h3>
|
|
<ul>
|
|
{% for error in stats.recent_errors[-10:] %}
|
|
<li>
|
|
<span class="timestamp">{{ error.timestamp|timeago }}</span>
|
|
<span class="format">{{ error.format }}</span>
|
|
<span class="error">{{ error.error }}</span>
|
|
</li>
|
|
{% endfor %}
|
|
</ul>
|
|
</div>
|
|
{% endif %}
|
|
|
|
<!-- Feed URLs -->
|
|
<div class="feed-urls">
|
|
<h3>Available Feeds</h3>
|
|
<ul>
|
|
<li>RSS: <code>{{ url_for('serve_feed', format='rss', _external=True) }}</code></li>
|
|
<li>ATOM: <code>{{ url_for('serve_feed', format='atom', _external=True) }}</code></li>
|
|
<li>JSON: <code>{{ url_for('serve_feed', format='json', _external=True) }}</code></li>
|
|
<li>OPML: <code>{{ url_for('export_opml', _external=True) }}</code></li>
|
|
</ul>
|
|
</div>
|
|
</div>
|
|
|
|
<script>
|
|
// Format distribution pie chart
|
|
const ctx = document.getElementById('format-chart').getContext('2d');
|
|
new Chart(ctx, {
|
|
type: 'pie',
|
|
data: {
|
|
labels: {{ stats.format_distribution.keys()|list|tojson }},
|
|
datasets: [{
|
|
data: {{ stats.format_distribution.values()|list|tojson }},
|
|
backgroundColor: ['#FF6384', '#36A2EB', '#FFCE56']
|
|
}]
|
|
}
|
|
});
|
|
</script>
|
|
{% endblock %}
|
|
```
|
|
|
|
## OPML Export
|
|
|
|
### OPML Generator
|
|
|
|
```python
|
|
from xml.etree.ElementTree import Element, SubElement, tostring
|
|
from xml.dom import minidom
|
|
|
|
class OPMLGenerator:
|
|
"""Generate OPML 2.0 feed list"""
|
|
|
|
def __init__(self, site_url: str, site_name: str, owner_name: str = None,
|
|
owner_email: str = None):
|
|
self.site_url = site_url.rstrip('/')
|
|
self.site_name = site_name
|
|
self.owner_name = owner_name
|
|
self.owner_email = owner_email
|
|
|
|
def generate(self, include_formats: List[str] = None) -> str:
|
|
"""Generate OPML document
|
|
|
|
Args:
|
|
include_formats: List of formats to include (default: all enabled)
|
|
|
|
Returns:
|
|
OPML 2.0 XML string
|
|
"""
|
|
if not include_formats:
|
|
include_formats = ['rss', 'atom', 'json']
|
|
|
|
# Create root element
|
|
opml = Element('opml', version='2.0')
|
|
|
|
# Add head
|
|
head = SubElement(opml, 'head')
|
|
SubElement(head, 'title').text = f"{self.site_name} Feeds"
|
|
SubElement(head, 'dateCreated').text = datetime.now(timezone.utc).strftime(
|
|
'%a, %d %b %Y %H:%M:%S %z'
|
|
)
|
|
SubElement(head, 'dateModified').text = datetime.now(timezone.utc).strftime(
|
|
'%a, %d %b %Y %H:%M:%S %z'
|
|
)
|
|
|
|
if self.owner_name:
|
|
SubElement(head, 'ownerName').text = self.owner_name
|
|
if self.owner_email:
|
|
SubElement(head, 'ownerEmail').text = self.owner_email
|
|
|
|
# Add body with outlines
|
|
body = SubElement(opml, 'body')
|
|
|
|
# Add feed outlines
|
|
if 'rss' in include_formats:
|
|
SubElement(body, 'outline',
|
|
type='rss',
|
|
text=f"{self.site_name} - RSS Feed",
|
|
title=f"{self.site_name} - RSS Feed",
|
|
xmlUrl=f"{self.site_url}/feed.xml",
|
|
htmlUrl=self.site_url)
|
|
|
|
if 'atom' in include_formats:
|
|
SubElement(body, 'outline',
|
|
type='atom',
|
|
text=f"{self.site_name} - ATOM Feed",
|
|
title=f"{self.site_name} - ATOM Feed",
|
|
xmlUrl=f"{self.site_url}/feed.atom",
|
|
htmlUrl=self.site_url)
|
|
|
|
if 'json' in include_formats:
|
|
SubElement(body, 'outline',
|
|
type='json',
|
|
text=f"{self.site_name} - JSON Feed",
|
|
title=f"{self.site_name} - JSON Feed",
|
|
xmlUrl=f"{self.site_url}/feed.json",
|
|
htmlUrl=self.site_url)
|
|
|
|
# Convert to pretty XML
|
|
rough_string = tostring(opml, encoding='unicode')
|
|
reparsed = minidom.parseString(rough_string)
|
|
return reparsed.toprettyxml(indent=' ', encoding='UTF-8').decode('utf-8')
|
|
```
|
|
|
|
### OPML Example Output
|
|
|
|
```xml
|
|
<?xml version="1.0" encoding="UTF-8"?>
|
|
<opml version="2.0">
|
|
<head>
|
|
<title>StarPunk Notes Feeds</title>
|
|
<dateCreated>Mon, 25 Nov 2024 12:00:00 +0000</dateCreated>
|
|
<dateModified>Mon, 25 Nov 2024 12:00:00 +0000</dateModified>
|
|
<ownerName>John Doe</ownerName>
|
|
<ownerEmail>john@example.com</ownerEmail>
|
|
</head>
|
|
<body>
|
|
<outline type="rss"
|
|
text="StarPunk Notes - RSS Feed"
|
|
title="StarPunk Notes - RSS Feed"
|
|
xmlUrl="https://example.com/feed.xml"
|
|
htmlUrl="https://example.com"/>
|
|
<outline type="atom"
|
|
text="StarPunk Notes - ATOM Feed"
|
|
title="StarPunk Notes - ATOM Feed"
|
|
xmlUrl="https://example.com/feed.atom"
|
|
htmlUrl="https://example.com"/>
|
|
<outline type="json"
|
|
text="StarPunk Notes - JSON Feed"
|
|
title="StarPunk Notes - JSON Feed"
|
|
xmlUrl="https://example.com/feed.json"
|
|
htmlUrl="https://example.com"/>
|
|
</body>
|
|
</opml>
|
|
```
|
|
|
|
## Testing Strategy
|
|
|
|
### Content Negotiation Tests
|
|
|
|
```python
|
|
def test_content_negotiation():
|
|
"""Test Accept header parsing and format selection"""
|
|
negotiator = ContentNegotiator()
|
|
|
|
# Test exact matches
|
|
assert negotiator.negotiate('application/atom+xml') == 'atom'
|
|
assert negotiator.negotiate('application/feed+json') == 'json'
|
|
assert negotiator.negotiate('application/rss+xml') == 'rss'
|
|
|
|
# Test quality factors
|
|
assert negotiator.negotiate('application/atom+xml;q=0.8, application/rss+xml') == 'rss'
|
|
|
|
# Test wildcards
|
|
assert negotiator.negotiate('*/*') == 'rss' # Default
|
|
assert negotiator.negotiate('application/*') == 'rss' # First application type
|
|
|
|
# Test no preference
|
|
assert negotiator.negotiate('') == 'rss'
|
|
assert negotiator.negotiate('text/html') == 'rss'
|
|
```
|
|
|
|
### Cache Tests
|
|
|
|
```python
|
|
def test_feed_cache():
|
|
"""Test LRU cache with TTL"""
|
|
cache = FeedCache(max_size=3, default_ttl=1)
|
|
|
|
# Test set and get
|
|
cache.set('rss', 50, 'abc123', '<rss>content</rss>', 'application/rss+xml')
|
|
entry = cache.get('rss', 50, 'abc123')
|
|
assert entry is not None
|
|
assert entry.content == '<rss>content</rss>'
|
|
|
|
# Test expiration
|
|
time.sleep(1.1)
|
|
entry = cache.get('rss', 50, 'abc123')
|
|
assert entry is None
|
|
|
|
# Test LRU eviction
|
|
cache.set('rss', 50, 'aaa', 'content1', 'application/rss+xml')
|
|
cache.set('atom', 50, 'bbb', 'content2', 'application/atom+xml')
|
|
cache.set('json', 50, 'ccc', 'content3', 'application/json')
|
|
cache.set('rss', 100, 'ddd', 'content4', 'application/rss+xml') # Evicts oldest
|
|
|
|
assert cache.get('rss', 50, 'aaa') is None # Evicted
|
|
assert cache.get('atom', 50, 'bbb') is not None # Still present
|
|
```
|
|
|
|
### Statistics Tests
|
|
|
|
```python
|
|
def test_syndication_stats():
|
|
"""Test statistics collection"""
|
|
stats = SyndicationStats()
|
|
|
|
# Record requests
|
|
stats.record_request('rss', 'Feedly/1.0', cached=False, generation_time=0.05)
|
|
stats.record_request('atom', 'Inoreader/1.0', cached=True)
|
|
stats.record_request('json', 'NetNewsWire/6.0', cached=False, generation_time=0.03)
|
|
|
|
summary = stats.get_summary()
|
|
assert summary['total_requests'] == 3
|
|
assert 'rss' in summary['format_distribution']
|
|
assert len(summary['top_user_agents']) > 0
|
|
```
|
|
|
|
### OPML Tests
|
|
|
|
```python
|
|
def test_opml_generation():
|
|
"""Test OPML export"""
|
|
generator = OPMLGenerator(
|
|
site_url='https://example.com',
|
|
site_name='Test Site',
|
|
owner_name='John Doe'
|
|
)
|
|
|
|
opml = generator.generate(['rss', 'atom', 'json'])
|
|
|
|
# Parse and validate
|
|
import xml.etree.ElementTree as ET
|
|
root = ET.fromstring(opml)
|
|
|
|
assert root.tag == 'opml'
|
|
assert root.get('version') == '2.0'
|
|
|
|
# Check outlines
|
|
outlines = root.findall('.//outline')
|
|
assert len(outlines) == 3
|
|
assert outlines[0].get('type') == 'rss'
|
|
assert outlines[1].get('type') == 'atom'
|
|
assert outlines[2].get('type') == 'json'
|
|
```
|
|
|
|
## Performance Benchmarks
|
|
|
|
### Negotiation Performance
|
|
|
|
```python
|
|
def benchmark_content_negotiation():
|
|
"""Benchmark negotiation speed"""
|
|
negotiator = ContentNegotiator()
|
|
complex_header = 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8'
|
|
|
|
start = time.perf_counter()
|
|
for _ in range(10000):
|
|
negotiator.negotiate(complex_header)
|
|
duration = time.perf_counter() - start
|
|
|
|
per_call = (duration / 10000) * 1000 # Convert to ms
|
|
assert per_call < 1.0 # Less than 1ms per negotiation
|
|
```
|
|
|
|
## Configuration
|
|
|
|
```ini
|
|
# Content negotiation
|
|
STARPUNK_FEED_NEGOTIATION_ENABLED=true
|
|
STARPUNK_FEED_DEFAULT_FORMAT=rss
|
|
|
|
# Cache settings
|
|
STARPUNK_FEED_CACHE_ENABLED=true
|
|
STARPUNK_FEED_CACHE_SIZE=100
|
|
STARPUNK_FEED_CACHE_TTL=300
|
|
STARPUNK_FEED_CACHE_MEMORY_LIMIT=10 # MB
|
|
|
|
# Statistics
|
|
STARPUNK_FEED_STATS_ENABLED=true
|
|
STARPUNK_FEED_STATS_RETENTION=7 # days
|
|
|
|
# OPML
|
|
STARPUNK_FEED_OPML_ENABLED=true
|
|
STARPUNK_FEED_OPML_OWNER_NAME=
|
|
STARPUNK_FEED_OPML_OWNER_EMAIL=
|
|
```
|
|
|
|
## Security Considerations
|
|
|
|
1. **Cache Poisoning**: Validate all cached content
|
|
2. **Header Injection**: Sanitize Accept headers
|
|
3. **Memory Exhaustion**: Limit cache size
|
|
4. **Statistics Privacy**: Don't log sensitive data
|
|
5. **OPML Injection**: Escape all XML content
|
|
|
|
## Acceptance Criteria
|
|
|
|
1. ✅ Content negotiation working correctly
|
|
2. ✅ Cache hit rate >80% achieved
|
|
3. ✅ Statistics dashboard functional
|
|
4. ✅ OPML export valid
|
|
5. ✅ Memory usage bounded
|
|
6. ✅ Performance targets met
|
|
7. ✅ All formats properly cached
|
|
8. ✅ Invalidation working
|
|
9. ✅ User agent detection accurate
|
|
10. ✅ Security review passed |