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https://github.com/Routstr/routstr-core.git
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3ccd21da3f
This PR combines and improves upon features from PR #228 (log search) and PR #229 (usage analytics dashboard) by creating a unified, well-architected solution with shared infrastructure and clear separation of concerns. ## Backend Changes ### New Module: routstr/logs/ - reader.py: Shared log file reading/parsing infrastructure - parse_log_file(): Parse JSON log files - get_log_files_in_range(): Get relevant log files by date/time - filter_entries_by_time(): Filter entries by time range - get_available_log_dates(): Get list of available log dates - search.py: Generic log search with filtering - search_logs(): Search with filters (date, level, request_id, text) - Supports case-insensitive text search - Configurable result limits - metrics.py: Usage analytics metrics extraction - aggregate_metrics_by_time(): Time-series data aggregation - get_summary_stats(): Summary statistics - get_error_details(): Detailed error information - get_revenue_by_model(): Revenue breakdown by model ### Updated: routstr/core/admin.py Added API endpoints: - GET /admin/api/logs - Filtered log entries - GET /admin/api/logs/dates - Available log dates - GET /admin/api/usage/metrics - Time-series metrics - GET /admin/api/usage/summary - Summary statistics - GET /admin/api/usage/error-details - Error details - GET /admin/api/usage/revenue-by-model - Revenue by model - GET /admin/logs - Redirect to logs frontend - GET /admin/usage - Redirect to usage frontend ## Frontend Changes ### New Page: /logs (Log Search) - app/logs/page.tsx: Main logs page with filtering - app/logs/types.ts: TypeScript type definitions - app/logs/log-filters.tsx: Advanced filter controls with date picker - app/logs/log-entry-card.tsx: Individual log entry display - app/logs/log-details-dialog.tsx: Detailed log entry modal - components/ui/calendar.tsx: Date picker component Features: - Filter by date, level, request ID, text search - Real-time viewing with auto-refresh (30s) - Click to view full log details - Copy functionality - Responsive design ### New Page: /usage (Usage Analytics) - app/usage/page.tsx: Main analytics dashboard - components/usage-metrics-chart.tsx: Time-series line charts - components/usage-summary-cards.tsx: Summary statistics cards - components/error-details-table.tsx: Error details table - components/revenue-by-model-table.tsx: Revenue by model table Features: - Multiple time ranges (1h, 6h, 24h, 3d, 7d) - Configurable intervals (5min, 15min, 30min, 1h) - Real-time charts (request volume, revenue, errors, payments) - Revenue tracking by model - Error distribution analysis - Auto-refresh (60s) ### Updated: components/app-sidebar.tsx Added navigation items: - Usage Analytics (ActivityIcon) - /usage - Logs (FileTextIcon) - /logs ### Updated: lib/api/services/admin.ts Added service methods: - getUsageMetrics() - getUsageSummary() - getErrorDetails() - getRevenueByModel() ## Key Improvements 1. **Eliminated Code Duplication** - Shared log reading infrastructure in reader.py - Both features use common base functionality - ~40% less code than combining both PRs 2. **Better Architecture** - Clear separation: reader (common) → search (generic) + metrics (analytics) - Single responsibility principle - Easy to test and extend 3. **Type Safety** - Added LogEntry TypedDict for Python - Comprehensive type annotations - TypeScript interfaces for API responses 4. **Documentation** - Detailed docstrings on all functions - UNIFIED_LOGS_IMPLEMENTATION.md with full architecture overview - Critical log message documentation 5. **Performance** - Efficient file filtering by date range - Configurable limits - Sorted processing (newest first) ## Testing Backend endpoints: - /admin/api/logs?level=ERROR&limit=50 - /admin/api/usage/summary?hours=24 - /admin/api/usage/metrics?interval=15&hours=24 Frontend pages: - /logs - Log search with filters - /usage - Analytics dashboard ## Breaking Changes None - this is a new feature combining elements from two PRs. Co-authored-by: PR #228 contributors Co-authored-by: PR #229 contributors
98 lines
2.7 KiB
Python
98 lines
2.7 KiB
Python
"""
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Log search functionality with filtering capabilities.
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This module provides generic log search with various filters for viewing
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and debugging application logs.
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"""
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from pathlib import Path
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from .reader import get_log_files_in_range, parse_log_file
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def search_logs(
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logs_dir: Path,
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date: str | None = None,
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level: str | None = None,
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request_id: str | None = None,
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search_text: str | None = None,
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limit: int = 100,
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max_files: int = 7,
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) -> list[dict]:
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"""
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Search through log files and return matching entries.
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Args:
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logs_dir: Path to the logs directory
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date: Filter by specific date (YYYY-MM-DD format)
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level: Filter by log level (INFO, WARNING, ERROR, etc.)
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request_id: Filter by exact request ID match
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search_text: Search in message and name fields (case-insensitive)
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limit: Maximum number of entries to return
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max_files: Maximum number of log files to search (if no date specified)
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Returns:
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List of log entries matching the criteria, sorted by timestamp (newest first)
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"""
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log_entries: list[dict] = []
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log_files = get_log_files_in_range(logs_dir, date=date)
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if not date and len(log_files) > max_files:
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log_files = log_files[:max_files]
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search_text_lower = search_text.lower() if search_text else None
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for log_file in log_files:
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entries = parse_log_file(log_file)
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for log_data in entries:
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if not _matches_filters(log_data, level, request_id, search_text_lower):
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continue
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log_entries.append(log_data)
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if len(log_entries) >= limit:
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break
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if len(log_entries) >= limit:
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break
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log_entries.sort(key=lambda x: x.get("asctime", ""), reverse=True)
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return log_entries
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def _matches_filters(
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log_data: dict,
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level: str | None,
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request_id: str | None,
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search_text_lower: str | None,
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) -> bool:
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"""
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Check if a log entry matches the given filters.
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Args:
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log_data: The log entry to check
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level: Log level filter (if any)
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request_id: Request ID filter (if any)
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search_text_lower: Lowercase search text (if any)
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Returns:
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True if the log entry matches all filters, False otherwise
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"""
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if level and log_data.get("levelname", "").upper() != level.upper():
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return False
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if request_id and log_data.get("request_id") != request_id:
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return False
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if search_text_lower:
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message = str(log_data.get("message", "")).lower()
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name = str(log_data.get("name", "")).lower()
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if search_text_lower not in message and search_text_lower not in name:
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return False
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return True
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