The user lookup function previously iterated over the entire user list sequentially,
causing O(n) latency for each request. This change replaces the linear scan with a
binary search on the sorted user ID array, reducing lookup time to O(log n) and
improving overall response throughput under high concurrency.
Implement a new statistics module that records and aggregates export operations per user on a monthly basis. The change introduces a dedicated database table `user_export_stats` with columns for user_id, month, and total_exports, along with an increment function called on each export completion. This enables future reporting features without impacting existing export logic.
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 pipeline filters events from the last 12 months, computes per-user export counts, and stores results in a dedicated statistics collection for efficient querying.
The change introduces a new aggregation pipeline in the statistics module that computes monthly export counts grouped by file format and user role. It adds a `getMonthlyExportStats` function to the admin service, which queries the exports collection with a date range filter and returns structured data for the dashboard chart component. The function handles edge cases for empty result sets by returning a default zero-count object.
The user lookup endpoint previously used a linear scan over the user list,
which degraded performance under high concurrency. This change replaces
the search algorithm with a binary search on the sorted user ID array,
reducing average lookup time from O(n) to O(log n). The user list is
maintained in sorted order via insertion sort on new user registration.
Implement a new statistics module that records daily export counts, file sizes, and user activity metrics. The change introduces a scheduled aggregation job that runs at midnight to compute and store export statistics from the previous day's logs, enabling better monitoring of export usage patterns and system performance.
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 pipeline filters events from the last 12 months, computes per-user export counts, and stores results in a dedicated statistics collection.
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 includes a new `getMonthlyExportStats` function that queries the exports collection with a date range filter and returns aggregated counts per user.
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 $match stage filtering on the last 12 months, followed by $group on year-month and userId, and a $sort stage for chronological ordering. This enables the dashboard to display per-user export volume trends over time.
- Implemented a new statistics module to track export operations
- Added counters for total exports, unique users, and export types
- Integrated statistics logging into the existing export handler
The README now includes a high-level description of the project's purpose, a prerequisites section listing required tools, and step-by-step installation and configuration commands for new contributors.
The README now includes a high-level description of the project's purpose, a prerequisites section listing required tools, and step-by-step installation commands for cloning, dependency setup, and running the application locally.
Adds a new BotManager class that maintains a mutable list of active bots, allowing bots to be added or removed at runtime without restarting the application. Includes thread-safe operations for concurrent access and a new API endpoint to query the current bot roster.
The algorithm analyzes user interaction patterns to identify anomalous behavior, flagging accounts with irregular login times, rapid-fire actions, or unusual data access sequences. It integrates with the existing monitoring pipeline to generate alerts for security review.
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
The README now includes a brief overview of the project's purpose and
step-by-step guidance for local development setup, including
prerequisites and installation commands.
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.
