
During October 2025, this developer enhanced the XMNote Exporter in the koreader/koreader repository to support richer analytics and reporting. They implemented new functionality in Lua to export daily reading durations from the statistics database, integrating this data with book source metadata in the export payload. Their work involved database interaction, data serialization, and careful mapping of reading statuses and modification dates to improve data quality for end-users and analytics teams. By focusing on configuration management and maintainable export flows, the developer ensured clear commit traceability and documentation, delivering a robust, auditable solution that deepened the analytics capabilities of the project.
2025-10 monthly summary for koreader/koreader. Key feature delivered: XMNote Exporter enhancement to export daily reading durations from the statistics database and include book source metadata in export requests. This also includes mapping of book reading statuses and modification dates to support richer analytics. Major bugs fixed: none reported this month; focus was on feature delivery and export pipeline improvements. Overall impact: improved analytics capabilities and data quality for end-users and analytics teams, with an auditable and maintainable export flow. Technologies/skills demonstrated: database integration (statistics data), data modeling and mapping, API payload design, and cross-repo collaboration with clear commit traceability (commit 158463fd9f240a7996b16422d9a78ae0eb9fd076; issue #14144).
2025-10 monthly summary for koreader/koreader. Key feature delivered: XMNote Exporter enhancement to export daily reading durations from the statistics database and include book source metadata in export requests. This also includes mapping of book reading statuses and modification dates to support richer analytics. Major bugs fixed: none reported this month; focus was on feature delivery and export pipeline improvements. Overall impact: improved analytics capabilities and data quality for end-users and analytics teams, with an auditable and maintainable export flow. Technologies/skills demonstrated: database integration (statistics data), data modeling and mapping, API payload design, and cross-repo collaboration with clear commit traceability (commit 158463fd9f240a7996b16422d9a78ae0eb9fd076; issue #14144).

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