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StarPunk/docs/design/v1.1.2/feed-enhancements-spec.md
Phil Skentelbery b0230b1233 feat: Complete v1.1.2 Phase 1 - Metrics Instrumentation
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>
2025-11-26 14:13:44 -07:00

889 lines
26 KiB
Markdown

# Feed Enhancements Specification - v1.1.2
## Overview
This specification defines the feed system enhancements for StarPunk v1.1.2, including content negotiation, caching, statistics tracking, and OPML export capabilities.
## Requirements
### Functional Requirements
1. **Content Negotiation**
- Parse HTTP Accept headers
- Score format preferences
- Select optimal format
- Handle quality factors (q=)
2. **Feed Caching**
- LRU cache with TTL
- Format-specific caching
- Invalidation on changes
- Memory-bounded storage
3. **Statistics Dashboard**
- Track feed requests
- Monitor cache performance
- Analyze client usage
- Display trends
4. **OPML Export**
- Generate OPML 2.0
- Include all feed formats
- Add feed metadata
- Validate output
### Non-Functional Requirements
1. **Performance**
- Cache hit rate >80%
- Negotiation <1ms
- Dashboard load <100ms
- OPML generation <10ms
2. **Scalability**
- Bounded memory usage
- Efficient cache eviction
- Statistical sampling
- Async processing
## Content Negotiation
### Design
Content negotiation determines the best feed format based on the client's Accept header.
```python
class ContentNegotiator:
"""HTTP content negotiation for feed formats"""
# MIME type mappings
MIME_TYPES = {
'rss': [
'application/rss+xml',
'application/xml',
'text/xml',
'application/x-rss+xml'
],
'atom': [
'application/atom+xml',
'application/x-atom+xml'
],
'json': [
'application/json',
'application/feed+json',
'application/x-json-feed'
]
}
def negotiate(self, accept_header: str, available_formats: List[str] = None) -> str:
"""Negotiate best format from Accept header
Args:
accept_header: HTTP Accept header value
available_formats: List of enabled formats (default: all)
Returns:
Selected format: 'rss', 'atom', or 'json'
"""
if not available_formats:
available_formats = ['rss', 'atom', 'json']
# Parse Accept header
accept_types = self._parse_accept_header(accept_header)
# Score each format
scores = {}
for format_name in available_formats:
scores[format_name] = self._score_format(format_name, accept_types)
# Select highest scoring format
if scores:
best_format = max(scores, key=scores.get)
if scores[best_format] > 0:
return best_format
# Default to RSS if no preference
return 'rss' if 'rss' in available_formats else available_formats[0]
def _parse_accept_header(self, accept_header: str) -> List[Dict[str, Any]]:
"""Parse Accept header into list of types with quality"""
if not accept_header:
return []
types = []
for part in accept_header.split(','):
part = part.strip()
if not part:
continue
# Split type and parameters
parts = part.split(';')
mime_type = parts[0].strip()
# Parse quality factor
quality = 1.0
for param in parts[1:]:
param = param.strip()
if param.startswith('q='):
try:
quality = float(param[2:])
except ValueError:
quality = 1.0
types.append({
'type': mime_type,
'quality': quality
})
# Sort by quality descending
return sorted(types, key=lambda x: x['quality'], reverse=True)
def _score_format(self, format_name: str, accept_types: List[Dict]) -> float:
"""Score a format against Accept types"""
mime_types = self.MIME_TYPES.get(format_name, [])
best_score = 0.0
for accept in accept_types:
accept_type = accept['type']
quality = accept['quality']
# Check for exact match
if accept_type in mime_types:
best_score = max(best_score, quality)
# Check for wildcard matches
elif accept_type == '*/*':
best_score = max(best_score, quality * 0.1)
elif accept_type == 'application/*':
if any(m.startswith('application/') for m in mime_types):
best_score = max(best_score, quality * 0.5)
elif accept_type == 'text/*':
if any(m.startswith('text/') for m in mime_types):
best_score = max(best_score, quality * 0.5)
return best_score
```
### Accept Header Examples
| Accept Header | Selected Format | Reason |
|--------------|-----------------|--------|
| `application/atom+xml` | atom | Exact match |
| `application/json` | json | JSON match |
| `application/rss+xml, application/atom+xml;q=0.9` | rss | Higher quality |
| `text/html, application/*;q=0.9` | rss | Wildcard match, RSS default |
| `*/*` | rss | No preference, use default |
| (empty) | rss | No header, use default |
## Feed Caching
### Cache Design
```python
from collections import OrderedDict
from dataclasses import dataclass
from datetime import datetime, timedelta
from typing import Optional, Any
import hashlib
@dataclass
class CacheEntry:
"""Single cache entry with metadata"""
key: str
content: str
content_type: str
created_at: datetime
expires_at: datetime
hit_count: int = 0
size_bytes: int = 0
class FeedCache:
"""LRU cache with TTL for feed content"""
def __init__(self, max_size: int = 100, default_ttl: int = 300):
"""Initialize cache
Args:
max_size: Maximum number of entries
default_ttl: Default TTL in seconds
"""
self.max_size = max_size
self.default_ttl = default_ttl
self.cache = OrderedDict()
self.stats = {
'hits': 0,
'misses': 0,
'evictions': 0,
'invalidations': 0
}
def get(self, format: str, limit: int, checksum: str) -> Optional[CacheEntry]:
"""Get cached feed if available and not expired"""
key = self._make_key(format, limit, checksum)
if key not in self.cache:
self.stats['misses'] += 1
return None
entry = self.cache[key]
# Check expiration
if datetime.now() > entry.expires_at:
del self.cache[key]
self.stats['misses'] += 1
return None
# Move to end (LRU)
self.cache.move_to_end(key)
# Update stats
entry.hit_count += 1
self.stats['hits'] += 1
return entry
def set(self, format: str, limit: int, checksum: str, content: str,
content_type: str, ttl: Optional[int] = None):
"""Store feed in cache"""
key = self._make_key(format, limit, checksum)
ttl = ttl or self.default_ttl
# Create entry
entry = CacheEntry(
key=key,
content=content,
content_type=content_type,
created_at=datetime.now(),
expires_at=datetime.now() + timedelta(seconds=ttl),
size_bytes=len(content.encode('utf-8'))
)
# Add to cache
self.cache[key] = entry
# Enforce size limit
while len(self.cache) > self.max_size:
# Remove oldest (first) item
evicted_key = next(iter(self.cache))
del self.cache[evicted_key]
self.stats['evictions'] += 1
def invalidate(self, pattern: Optional[str] = None):
"""Invalidate cache entries matching pattern"""
if pattern is None:
# Clear all
count = len(self.cache)
self.cache.clear()
self.stats['invalidations'] += count
else:
# Clear matching keys
keys_to_remove = [
key for key in self.cache
if pattern in key
]
for key in keys_to_remove:
del self.cache[key]
self.stats['invalidations'] += 1
def _make_key(self, format: str, limit: int, checksum: str) -> str:
"""Generate cache key"""
return f"feed:{format}:{limit}:{checksum}"
def get_stats(self) -> Dict[str, Any]:
"""Get cache statistics"""
total_requests = self.stats['hits'] + self.stats['misses']
hit_rate = (self.stats['hits'] / total_requests * 100) if total_requests > 0 else 0
# Calculate memory usage
total_bytes = sum(entry.size_bytes for entry in self.cache.values())
return {
'entries': len(self.cache),
'max_entries': self.max_size,
'memory_mb': total_bytes / (1024 * 1024),
'hit_rate': hit_rate,
'hits': self.stats['hits'],
'misses': self.stats['misses'],
'evictions': self.stats['evictions'],
'invalidations': self.stats['invalidations']
}
class ContentChecksum:
"""Generate checksums for cache invalidation"""
@staticmethod
def calculate(notes: List[Note], config: Dict) -> str:
"""Calculate checksum based on content state"""
# Use latest note timestamp and count
if notes:
latest_timestamp = max(n.updated_at or n.created_at for n in notes)
checksum_data = f"{latest_timestamp.isoformat()}:{len(notes)}"
else:
checksum_data = "empty:0"
# Include configuration that affects output
config_data = f"{config.get('site_name')}:{config.get('site_url')}"
# Generate hash
combined = f"{checksum_data}:{config_data}"
return hashlib.md5(combined.encode()).hexdigest()[:8]
```
### Cache Integration
```python
# In feed route handler
@app.route('/feed.<format>')
def serve_feed(format):
"""Serve feed in requested format"""
# Content negotiation if format not specified
if format == 'feed':
negotiator = ContentNegotiator()
format = negotiator.negotiate(request.headers.get('Accept'))
# Get notes and calculate checksum
notes = get_published_notes()
checksum = ContentChecksum.calculate(notes, app.config)
# Check cache
cached = feed_cache.get(format, limit=50, checksum=checksum)
if cached:
return Response(
cached.content,
mimetype=cached.content_type,
headers={'X-Cache': 'HIT'}
)
# Generate feed
if format == 'rss':
content = rss_generator.generate(notes)
content_type = 'application/rss+xml'
elif format == 'atom':
content = atom_generator.generate(notes)
content_type = 'application/atom+xml'
elif format == 'json':
content = json_generator.generate(notes)
content_type = 'application/feed+json'
else:
abort(404)
# Cache the result
feed_cache.set(format, 50, checksum, content, content_type)
return Response(
content,
mimetype=content_type,
headers={'X-Cache': 'MISS'}
)
```
## Statistics Dashboard
### Dashboard Design
```python
class SyndicationStats:
"""Collect and analyze syndication statistics"""
def __init__(self):
self.requests = defaultdict(int) # By format
self.user_agents = defaultdict(int)
self.generation_times = defaultdict(list)
self.errors = deque(maxlen=100)
def record_request(self, format: str, user_agent: str, cached: bool,
generation_time: Optional[float] = None):
"""Record feed request"""
self.requests[format] += 1
self.user_agents[self._normalize_user_agent(user_agent)] += 1
if generation_time is not None:
self.generation_times[format].append(generation_time)
# Keep only last 1000 times
if len(self.generation_times[format]) > 1000:
self.generation_times[format] = self.generation_times[format][-1000:]
def record_error(self, format: str, error: str):
"""Record feed generation error"""
self.errors.append({
'timestamp': datetime.now(),
'format': format,
'error': error
})
def get_summary(self) -> Dict[str, Any]:
"""Get statistics summary"""
total_requests = sum(self.requests.values())
# Calculate format distribution
format_distribution = {
format: (count / total_requests * 100) if total_requests > 0 else 0
for format, count in self.requests.items()
}
# Top user agents
top_agents = sorted(
self.user_agents.items(),
key=lambda x: x[1],
reverse=True
)[:10]
# Generation time stats
time_stats = {}
for format, times in self.generation_times.items():
if times:
sorted_times = sorted(times)
time_stats[format] = {
'avg': sum(times) / len(times),
'p50': sorted_times[len(times) // 2],
'p95': sorted_times[int(len(times) * 0.95)],
'p99': sorted_times[int(len(times) * 0.99)]
}
return {
'total_requests': total_requests,
'format_distribution': format_distribution,
'top_user_agents': top_agents,
'generation_times': time_stats,
'recent_errors': list(self.errors)
}
def _normalize_user_agent(self, user_agent: str) -> str:
"""Normalize user agent for grouping"""
if not user_agent:
return 'Unknown'
# Common patterns
patterns = [
(r'Feedly', 'Feedly'),
(r'Inoreader', 'Inoreader'),
(r'NewsBlur', 'NewsBlur'),
(r'Tiny Tiny RSS', 'Tiny Tiny RSS'),
(r'FreshRSS', 'FreshRSS'),
(r'NetNewsWire', 'NetNewsWire'),
(r'Feedbin', 'Feedbin'),
(r'bot|Bot|crawler|Crawler', 'Bot/Crawler'),
(r'Mozilla.*Firefox', 'Firefox'),
(r'Mozilla.*Chrome', 'Chrome'),
(r'Mozilla.*Safari', 'Safari')
]
import re
for pattern, name in patterns:
if re.search(pattern, user_agent):
return name
return 'Other'
```
### Dashboard Template
```html
<!-- templates/admin/syndication.html -->
{% extends "admin/base.html" %}
{% block title %}Syndication Dashboard{% endblock %}
{% block content %}
<div class="syndication-dashboard">
<h2>Syndication Statistics</h2>
<!-- Overview Cards -->
<div class="stats-grid">
<div class="stat-card">
<h3>Total Requests</h3>
<p class="stat-value">{{ stats.total_requests }}</p>
</div>
<div class="stat-card">
<h3>Cache Hit Rate</h3>
<p class="stat-value">{{ cache_stats.hit_rate|round(1) }}%</p>
</div>
<div class="stat-card">
<h3>Active Formats</h3>
<p class="stat-value">{{ stats.format_distribution|length }}</p>
</div>
<div class="stat-card">
<h3>Cache Memory</h3>
<p class="stat-value">{{ cache_stats.memory_mb|round(2) }}MB</p>
</div>
</div>
<!-- Format Distribution -->
<div class="chart-container">
<h3>Format Distribution</h3>
<canvas id="format-chart"></canvas>
</div>
<!-- Top User Agents -->
<div class="table-container">
<h3>Top Feed Readers</h3>
<table>
<thead>
<tr>
<th>Reader</th>
<th>Requests</th>
<th>Percentage</th>
</tr>
</thead>
<tbody>
{% for agent, count in stats.top_user_agents %}
<tr>
<td>{{ agent }}</td>
<td>{{ count }}</td>
<td>{{ (count / stats.total_requests * 100)|round(1) }}%</td>
</tr>
{% endfor %}
</tbody>
</table>
</div>
<!-- Generation Performance -->
<div class="table-container">
<h3>Generation Performance</h3>
<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