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.
Implement a new export statistics module that aggregates monthly export data including total revenue, shipment counts, and per-category breakdowns. The module introduces a scheduled task that runs on the 1st of each month to compute and store statistics from the orders and shipments tables, enabling historical trend analysis and reporting.
Implement a new statistics module that aggregates and stores monthly export counts per user, enabling detailed activity reporting and usage monitoring. The change introduces a dedicated database table for export statistics, a background job to compute monthly aggregates from the exports log, and an API endpoint to retrieve per-user export statistics for the past 12 months.
Implement a new statistics module that aggregates and stores monthly export counts per user, enabling detailed activity reporting and usage monitoring. The module includes a background job that runs on the 1st of each month to finalize previous month's data, and exposes an API endpoint for querying export statistics by user ID and date range.
Implement a new statistics module that aggregates and stores monthly export counts per user, enabling detailed activity reports and usage monitoring. The module includes a background job that runs on the 1st of each month to compute and persist the previous month's export metrics, along with a new database table for storing the aggregated data.
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 administrators. The change introduces a `getMonthlyExportStats` function that queries the exports collection, filters by the last 12 months, and returns aggregated counts per user per month.
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
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.
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 administrators. The change adds a `getMonthlyExportStats` function that queries the exports collection with a $match stage filtering on the last 12 months, followed by $group on year-month and userId, and a $sort stage for chronological ordering. This provides the backend support for the upcoming admin dashboard export statistics widget.
- Implemented a new statistics module to record export events
- Added database migration for export_logs table with user_id and timestamp
- Updated export handler to increment counter on successful completion
Implement a new statistics module that records export operations per month,
including total revenue, item count, and average order value. The module
aggregates data from the orders and shipments tables, grouping results by
calendar month for reporting purposes.
The export statistics module now supports quarterly data aggregation and regional filtering parameters. The `ExportStats` class has been extended with new methods `getQuarterlyBreakdown()` and `filterByRegion()`. The database schema migration adds a `region` column to the `export_stats` table. The API endpoint `/api/export-stats` now accepts optional `quarter` and `region` query parameters.
- Implemented a new statistics module to record and monitor user export activities
- Added database schema changes to store export timestamps and file sizes
- Updated export controller to log each export event with relevant metadata
- Created API endpoint for retrieving aggregated export statistics
Implement a new export statistics module that aggregates monthly export data including total revenue, shipment counts, and per-category breakdowns. The module introduces a scheduled task that runs on the 1st of each month to compute and store statistics from the orders and shipments tables, enabling historical trend analysis and reporting.
The change introduces a new aggregation pipeline in the statistics module that computes monthly export counts grouped by product category. It adds a dedicated `ExportStatistic` model with fields for period, category, and total exports, and wires the aggregation into the existing admin statistics endpoint. The implementation uses MongoDB's `$group` and `$project` stages to transform raw export logs into the required summary format, ensuring the dashboard can display per-category trends over time.
The change introduces a new aggregation pipeline in the statistics module that groups export records by month, computing total exports per user and average file size. This data is stored in a dedicated `monthly_export_stats` collection to support the upcoming analytics dashboard feature.
Implement a new aggregation pipeline in the statistics module that groups export events by month and user ID, computing total exports per user per month. The change introduces a `getMonthlyExportStats` function that queries the exports collection with a `$group` stage on `userId` and `month` fields, returning sorted results by month descending. This enables the dashboard to display per-user export volume trends over time.
Implement a new export statistics module that records and aggregates metrics on user data export operations. The change introduces a dedicated statistics service that tracks export frequency, data volume, and user engagement patterns. This enables administrators to monitor export activity and optimize system performance based on usage trends.
Implement a new statistics module that records export operations per month,
including total revenue, item count, and average order value. The module
aggregates data from the orders and shipments tables, grouping results by
calendar month for reporting purposes.
