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>
158 lines
3.4 KiB
Python
158 lines
3.4 KiB
Python
"""
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Business metrics for StarPunk operations
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Per v1.1.2 Phase 1:
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- Track note operations (create, update, delete)
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- Track feed generation and cache hits/misses
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- Track content statistics
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Example usage:
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>>> from starpunk.monitoring.business import track_note_created
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>>> track_note_created(note_id=123, content_length=500)
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"""
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from typing import Optional
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from starpunk.monitoring.metrics import record_metric
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def track_note_created(note_id: int, content_length: int, has_media: bool = False) -> None:
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"""
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Track note creation event
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Args:
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note_id: ID of created note
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content_length: Length of note content in characters
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has_media: Whether note has media attachments
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"""
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metadata = {
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'note_id': note_id,
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'content_length': content_length,
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'has_media': has_media,
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}
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record_metric(
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'render', # Use 'render' for business metrics
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'note_created',
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content_length,
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metadata,
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force=True # Always track business events
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)
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def track_note_updated(note_id: int, content_length: int, fields_changed: Optional[list] = None) -> None:
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"""
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Track note update event
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Args:
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note_id: ID of updated note
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content_length: New length of note content
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fields_changed: List of fields that were changed
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"""
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metadata = {
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'note_id': note_id,
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'content_length': content_length,
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}
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if fields_changed:
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metadata['fields_changed'] = ','.join(fields_changed)
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record_metric(
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'render',
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'note_updated',
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content_length,
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metadata,
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force=True
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)
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def track_note_deleted(note_id: int) -> None:
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"""
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Track note deletion event
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Args:
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note_id: ID of deleted note
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"""
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metadata = {
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'note_id': note_id,
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}
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record_metric(
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'render',
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'note_deleted',
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0, # No meaningful duration for deletion
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metadata,
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force=True
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)
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def track_feed_generated(format: str, item_count: int, duration_ms: float, cached: bool = False) -> None:
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"""
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Track feed generation event
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Args:
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format: Feed format (rss, atom, json)
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item_count: Number of items in feed
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duration_ms: Time taken to generate feed
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cached: Whether feed was served from cache
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"""
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metadata = {
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'format': format,
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'item_count': item_count,
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'cached': cached,
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}
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operation = f'feed_{format}{"_cached" if cached else "_generated"}'
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record_metric(
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'render',
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operation,
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duration_ms,
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metadata,
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force=True # Always track feed operations
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)
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def track_cache_hit(cache_type: str, key: str) -> None:
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"""
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Track cache hit event
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Args:
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cache_type: Type of cache (feed, etc.)
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key: Cache key that was hit
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"""
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metadata = {
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'cache_type': cache_type,
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'key': key,
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}
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record_metric(
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'render',
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f'{cache_type}_cache_hit',
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0,
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metadata,
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force=True
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)
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def track_cache_miss(cache_type: str, key: str) -> None:
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"""
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Track cache miss event
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Args:
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cache_type: Type of cache (feed, etc.)
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key: Cache key that was missed
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"""
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metadata = {
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'cache_type': cache_type,
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'key': key,
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}
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record_metric(
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'render',
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f'{cache_type}_cache_miss',
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0,
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metadata,
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force=True
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)
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