Month: 2025-09 — betagouv/ma-cantine. This month focused on data quality improvements in the Open Data export pipeline. The main achievement was a bug fix to the teledeclaration_ratio_egalim_hors_bio calculation, implemented to ensure accurate representation of non-bio EQUALIM declarations. The fix uses pre-aggregated values and adjusts the formula to correctly include sustainable, externality_performance, and related egalim_others categories. No new user-facing features were released this month; the priority was reliability and compliance in data reporting. The change is tracked in the commit 23124803977f8c4310b42a2f37938f38f6867f15 with message: fix(Open Data): Répare le calcul de la colonne teledeclaration_ratio_egalim_hors_bio (#5641).

Monthly work summary for 2025-08 focusing on bug fixes and data quality for betagouv/ma-cantine. Key improvement: robust handling of None vs empty waste_actions in Teledeclaration Analysis Serializer, preventing ETL errors and ensuring consistent data state. Added tests to verify None handling; this reduces downstream failures and improves reliability of the data pipeline.

July 2025 — Betagouv/ma-cantine: Drove targeted data engineering and platform modernization to strengthen Teledeclaration analytics, data quality, and deployment flexibility. Delivered substantial ETL enhancements, data integrity fixes, and readiness for Django 5.1/storage modernization, laying groundwork for more reliable analytics and smoother deployments.

June 2025 performance summary for betagouv/ma-cantine: focused on Teledeclaration ETL improvements, performance optimizations, and data governance. Delivered per-cantine Teledeclaration support with new fields, stabilized data quality, and enhanced admin/API visibility. Result: faster, more accurate data pipelines and clearer open-data readiness for reporting and compliance.

May 2025 - Betagouv/ma-cantine: Modernized ETL core and expanded data capabilities to strengthen data integrity, performance, and governance. Implemented versioning and ORM-backed historical data access, migrated extraction logic to queryset-based operations, and centralized data extraction for better reuse. Expanded ETL export types and CLI dataset-type selection, enabling targeted data deliveries. Added a Dataset Version Comparison CLI using datacompy for integrity validation across dataset versions. Improved geolocation bot robustness by increasing attempts to 20 with broader test coverage. Fixed ETL robustness issues to prevent crashes, including safeguards for required columns and division-by-zero handling. Updated Open-Data documentation clarifying DATAGOUV_DATASET_ID to reduce user ambiguity and misconfigurations.

April 2025 monthly summary for betagouv/ma-cantine: Focused on data integrity, reliability, and developer experience. Delivered a comprehensive Teledeclaration data overhaul with migrations and null handling to ensure accurate reporting across SIMPLE vs COMPLETE teledeclarations; implemented data-source refinements to extract official data from Teledeclaration sources and integrated campaign-created TDs into the official data queryset. Added an administrative UI filter by diagnostic_type to improve data management. Strengthened testing reliability and frontend naming consistency. Introduced an hourly cron job to fill missing INSEE codes using SIRET data to improve geolocation accuracy. Improved developer experience with tooling, fixtures, and onboarding docs to streamline local setup and deployments.

March 2025: Delivered meaningful API and data pipeline improvements for betagouv/ma-cantine, enhancing analytics capabilities, data reliability, and developer productivity. Focused on robust data normalization, scalable ETL, and streamlined Teledeclaration workflows, while extending documentation and enabling easier task execution for developers.

February 2025: Delivered data quality and ecosystem improvements across betagouv/ma-cantine and betagouv/complements-alimentaires. Key items include a bug fix in the data import pipeline to replace an outdated sector name, a schema enhancement to support 2024 campaigns and align 2023 fields, a migration to the Recherche Entreprises API for canteen geolocation, and targeted documentation/onboarding improvements. Added reliability for data processing, improved setup guidance for users, and aligned extractors with the main schema and updated data.gouv.fr integration docs. Result is more accurate reporting, streamlined ETL, and faster onboarding for maintainers and users.

January 2025 performance summary: Delivered measurable business value through data accessibility, reliability, and governance improvements across betagouv/ma-cantine and betagouv/complements-alimentaires. Highlights include Metabase-ready cantine data exposure with standardized reporting fields and ETL optimizations; hardened mass-import and ETL processes for robust data ingestion; stabilized export pipelines with schema maintenance and TableSchema alignment; extensive data model and quality enhancements in complements-alimentaires to support analytics, compliance, and Open Data; and automated Open Data exports with improved validation/workflow reliability. These efforts reduced reporting lag, improved data quality, and strengthened data governance.

December 2024: Delivered key features and reliability improvements across two repositories, driving better data quality, security, and open data readiness. Implemented Open Data Declarations Serializer enhancements in complements-alimentaires to improve data accuracy, enable display of inactive microorganisms, correct substance naming, proper access to declared_substance.substance.name, and robust null-safety. Refined canteen statistics reporting to align filters with the official reports, adding a for_stat method to constrain diagnostics to validated items within current campaign dates. Strengthened security by restricting teledeclaration creation/cancellation to authenticated users. Open data publication for the 2023 campaign results, with proper data formatting and updated exports; and enforced header validation for CSV purchases imports, backed by tests and documentation. These changes improve business decision support, data governance, and transparency at scale, while enhancing test coverage and developer ergonomics.

November 2024: Delivered substantive end-to-end data engineering and domain-modeling work across betagouv/ma-cantine and betagouv/complements-alimentaires. Focused on robust data extraction, transformation, and export pipelines, data quality controls, and scalable data models to support reporting, compliance, and business decisions. Demonstrated strong Python module design, ETL modularity, and validation patterns, with measurable improvements in reliability and maintainability.