February 2026 (2026-02) monthly summary for AntaresSimulatorTeam/AntaREST. Focused on improving favorites identity and token reliability by aligning user_id with the identities table and introducing impersonator-aware user retrieval.

January 2026: Delivered backend support for user favorites on studies in AntaREST. Implemented a new favorites table, API endpoints for managing favorites, and service/repository layers, enabling users to save and quickly access their favorite studies.

December 2025 monthly summary for AntaREST: Delivered two key features that improve API usability and data export flexibility, with clear change traces for auditability and future maintenance. The work focused on API ergonomics and data export controls to support client integrations and analytics workflows.

Month: 2025-11 — AntaREST delivered a Study data model refactor that centralizes core fields and reduces data complexity, enabling easier maintenance and future feature integration. Key outcomes include a unified Study model replacing separate editor, author, and horizon fields. No major bugs fixed this month. Overall impact: cleaner architecture, faster onboarding for new features, and improved data integrity. Technologies/skills demonstrated: backend Python refactoring, data modeling, code cleanup, and collaboration through commit-driven development. Commit reference: 32454913e82a3e1de6f0949eb9446ac1133f78bc (refactor(study): remove study additional data (#2838)).

In Oct 2025, delivered critical enhancements across AntaREST and antares_craft, focusing on metadata provenance, auditability, and API consistency. Implemented optional author/editor fields in StudyMetadataDTO and ensured storage population, added automatic editor updates on modifications to strengthen audit trails, and introduced a unified set_terms API to replace multiple binding-term operations. These changes improve metadata attribution, compliance readiness, and developer efficiency, while reducing maintenance complexity and enabling more accurate study governance.

Month: 2025-08. Focused on delivering a robust matrix usage tracking capability for AntaREST with decoupled garbage collection and an API to enumerate matrix references. The work enhances observability, scalability, and data-driven cleanup, enabling better disk usage insights and future statistics on matrix usage.

July 2025 monthly summary for AntaresSimulatorTeam/AntaREST focusing on new features and observability improvements that enable better introspection and admin-level oversight.

June 2025: Delivered a focused refactor of the Output Access API in AntaresCraft to improve consistency, usability, and downstream automation. Key changes include introducing Enum classes for data types, updating method signatures to use Enums and the Frequency type, adjusting file path handling for cross-environment API compatibility, and adding utilities for reading output matrices. The work reduces integration friction, improves maintainability, and positions the API for future extensions.

April 2025 monthly summary for AntaresSimulatorTeam/antares_craft: Delivered a Local Output Service and date serializers for Antares, with a refactor of the output aggregation to improve handling and processing. These changes enhance reliability, time-based output accuracy, and support future performance improvements.

March 2025 monthly summary for AntaresSimulatorTeam/antares_craft focused on delivering bulk update APIs for study components to enhance scalability, reliability, and user productivity. Implemented a cohesive set of APIs and supporting tests across multiple component families, enabling safe, high-volume updates with clear error handling.

February 2025 performance across AntaresSimulatorTeam/antares_craft focused on expanding API capabilities, strengthening data reliability, and improving developer experience. Key features delivered include a new import_study_api supporting zip/7z imports with validation and optional relocation; a configurable thermal time series horizon via nb_years; expanded thermal matrices update capabilities with consistent naming and improved error reporting; expanded Hydro matrices API tests to cover retrieval and updates across data series; and a batch update for multiple links with dedicated error handling. These changes were implemented with accompanying unit/integration tests and standard PR hygiene, aligning with design consistency across modules and reducing future maintenance costs. The work accelerates study onboarding, enables finer modeling control, and increases confidence in API interactions, ultimately delivering measurable business value through faster deployments, lower risk releases, and improved modeling fidelity.

January 2025 performance summary for AntaresSimulatorTeam/antares_craft focused on API robustness and data validation improvements to enable reliable, year-round simulations and better data governance. Delivered a new API capability for link retrieval, enhanced error handling, and richer link metadata; and hardened integration tests to support full-year hourly matrices, reducing run-time failures and improving model readiness.

December 2024 — AntaresSimulatorTeam/antares_craft: Delivered two API feature enhancements with improved data synchronization and reliability. Implemented read_study_api to fetch study details from the API and synchronize internal area data, with corresponding test updates. Introduced robust Antares API link matrix handling: refactored methods to accept area IDs, added capabilities for creating and retrieving link parameters and capacities, and introduced new exception types for link upload/download errors. These changes improve data consistency, error handling, and developer ergonomics, delivering clear business value through cleaner APIs and better test coverage.

Month: 2024-11 — Concise monthly summary focusing on API feature delivery, data access improvements, and reliability enhancements for AntaresCraft. No major bug fixes documented this month; emphasis on delivering new endpoints, refactoring for cleaner data access, and strengthening test coverage.