The polling interval for the metrics collection service has been adjusted from 30 seconds to 60 seconds to reduce system load and network traffic while maintaining adequate monitoring granularity.
Implement a new aggregation pipeline that computes total export volume per month, grouped by product category and destination region. The change introduces a `monthly_export_stats` collection updated via a scheduled cron job, with indexes on `year_month` and `category` for efficient querying. The statistics module now exposes a `/api/stats/exports/monthly` endpoint returning paginated results sorted by descending volume.
- Implemented a new statistics module to record and monitor export operations
- Added tracking for export timestamps, file sizes, and user identifiers
- Updated export handler to log each completed export with relevant metadata
Implement a new export statistics module that records and aggregates metrics for user data export operations, including timestamps, file sizes, and export types. This enables monitoring of export frequency and data volume across the platform.
The export statistics module now includes a new monthly aggregation function that calculates user activity metrics such as total exports, unique users, and average export size per month. This data is stored in a dedicated statistics table and exposed via a new API endpoint for the admin dashboard.
Implement a new aggregation pipeline in the statistics module that groups export events by month and user ID, enabling generation of monthly activity reports for the admin dashboard. The change includes a new `getMonthlyExportStats` function that queries the exports collection with a date range filter and returns aggregated counts per user.
The previous thread pool implementation caused GIL contention under heavy CPU workloads. This change swaps concurrent.futures.ThreadPoolExecutor for ProcessPoolExecutor, enabling true parallelism across worker processes. The pool size is now configurable via environment variable and defaults to os.cpu_count(). Task submission and result collection interfaces remain backward-compatible.
The profiles table previously lacked an index on the user_id column, causing slow query performance when filtering by user. This change adds a B-tree index on user_id to optimize read operations in the user profile retrieval endpoint.
Implement a new monthly export statistics feature that records and aggregates export activity data. The change introduces a dedicated statistics collection mechanism within the analytics module, enabling tracking of export volumes, success rates, and user engagement metrics on a monthly basis. This enhancement provides administrators with granular visibility into export patterns and system utilization over time.
Implement a new statistics module that records and aggregates export operations, including timestamps, file sizes, and user identifiers. This enables monitoring of export frequency and data volume for compliance and analytics purposes.
- Implemented a new statistics module to record and monitor export operations
- Added tracking for export timestamps, file sizes, and user identifiers
- Updated export handler to log each completed export with relevant metadata
Implement a new content validation module that scans comment text for potentially harmful or inappropriate patterns before submission. The checker uses regex-based pattern matching to flag common spam, abuse, and prohibited content, returning a boolean result for downstream moderation handling.
The change introduces a new aggregation pipeline in the statistics module that groups export events by month, calculates total exports per user, and stores the results in a dedicated collection for efficient report generation.
