Implement new export statistics module that aggregates monthly export data by region, including total volume, revenue, and top product categories. The update introduces a scheduled task to refresh statistics daily from the raw export logs table, with support for historical data backfill.
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 table and stores precomputed summaries in a dedicated export_stats collection for faster dashboard queries.
Implement 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 `monthly_export_stats` collection. This enables efficient generation of user activity reports without scanning the full export log.
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.
