
Sujan Adhikari contributed to the hotosm/fmtm repository by engineering robust backend features and data workflows over five months. He refactored geospatial data models to store geometry as GeoJSON in PostgreSQL JSONB, improving data integrity and compatibility with geospatial tools. Sujan implemented a JSON-based data extraction pipeline, integrated OSM data retrieval, and migrated backend models from YAML to JSON for maintainability. He enhanced CI/CD reliability using GitHub Actions and Docker, streamlined deployment, and improved error handling. Working primarily in Python and SQL, Sujan’s work addressed data quality, system reliability, and future-proofed the codebase for scalable geospatial data processing.

July 2025 monthly summary for hotosm/fmtm: Delivered a cohesive feature set for data extraction and OSM integration, reinforced by JSON-based data models and stability improvements. Key features were implemented and integrated end-to-end, enabling more reliable data workflows and faster time-to-value for downstream users. The month also focused on tightening CI reliability and addressing data modeling maintainability. Highlights include: - Data extraction: Enhanced Data Extraction Pipeline and OSM Integration with a JSON-config workflow, new get_osm_data path, authentication-aware retrieval, better file naming/tracking, and refined XLSForm relevance flow for user-facing forms. - Highway data extraction: Added highway data extraction support with a new highway fieldwork Excel file, frontend updates for OSM category selection, and corrected geometry handling (polyline to line) for raw data API. - JSON data model migration: Migrated backend data models from YAML to JSON, introduced a JSON data model module, and adjusted loading/parsing to JSON for improved maintainability. - Build, tests, and stability: Fixed build/config issues, removed debug prints, resolved test stability and XLSForm update conflicts to improve CI outcomes and reliability.
July 2025 monthly summary for hotosm/fmtm: Delivered a cohesive feature set for data extraction and OSM integration, reinforced by JSON-based data models and stability improvements. Key features were implemented and integrated end-to-end, enabling more reliable data workflows and faster time-to-value for downstream users. The month also focused on tightening CI reliability and addressing data modeling maintainability. Highlights include: - Data extraction: Enhanced Data Extraction Pipeline and OSM Integration with a JSON-config workflow, new get_osm_data path, authentication-aware retrieval, better file naming/tracking, and refined XLSForm relevance flow for user-facing forms. - Highway data extraction: Added highway data extraction support with a new highway fieldwork Excel file, frontend updates for OSM category selection, and corrected geometry handling (polyline to line) for raw data API. - JSON data model migration: Migrated backend data models from YAML to JSON, introduced a JSON data model module, and adjusted loading/parsing to JSON for improved maintainability. - Build, tests, and stability: Fixed build/config issues, removed debug prints, resolved test stability and XLSForm update conflicts to improve CI outcomes and reliability.
June 2025 for hotosm/fmtm: Key stability and CI/CD improvements driven by two focused changes. 1) Central schema: Submission IDs default fix to None improves backend data integrity and prevents handling inconsistencies. 2) CI workflow cleanup and test decoupling reduces pipeline times by decoupling backend tests from builds and bypassing them in CI. Result: faster release cycles, fewer data-handling errors, and clearer feedback loops. Technologies demonstrated include backend schema governance, CI/CD automation, and test orchestration.
June 2025 for hotosm/fmtm: Key stability and CI/CD improvements driven by two focused changes. 1) Central schema: Submission IDs default fix to None improves backend data integrity and prevents handling inconsistencies. 2) CI workflow cleanup and test decoupling reduces pipeline times by decoupling backend tests from builds and bypassing them in CI. Result: faster release cycles, fewer data-handling errors, and clearer feedback loops. Technologies demonstrated include backend schema governance, CI/CD automation, and test orchestration.
April 2025 monthly summary for hotosm/fmtm: Focused on data integrity, reliability, and geospatial correctness. Delivered two major pillars: (1) Organization Deletion Safety and Admin Removal Endpoint, ensuring orgs with active projects cannot be deleted and adding a safeguarded endpoint to remove organization admins (prevents self-removal). (2) Backend Reliability and Data Handling Improvements, including preserving original exceptions for foreign key violations, refined centroid handling to compute centroids only for POINT geometries, and a simplified project retrieval path to avoid duplicates and reduce joins. Frontend adjustments ensured errors from the backend are surfaced correctly. Impact includes reduced data loss risk, improved data quality, fewer duplicate results, and faster, more predictable API behavior. Technologies include Python backend changes, PostGIS geometry handling, frontend error propagation, and CI improvements via pre-commit hooks.
April 2025 monthly summary for hotosm/fmtm: Focused on data integrity, reliability, and geospatial correctness. Delivered two major pillars: (1) Organization Deletion Safety and Admin Removal Endpoint, ensuring orgs with active projects cannot be deleted and adding a safeguarded endpoint to remove organization admins (prevents self-removal). (2) Backend Reliability and Data Handling Improvements, including preserving original exceptions for foreign key violations, refined centroid handling to compute centroids only for POINT geometries, and a simplified project retrieval path to avoid duplicates and reduce joins. Frontend adjustments ensured errors from the backend are surfaced correctly. Impact includes reduced data loss risk, improved data quality, fewer duplicate results, and faster, more predictable API behavior. Technologies include Python backend changes, PostGIS geometry handling, frontend error propagation, and CI improvements via pre-commit hooks.
March 2025 performance highlights for hotosm/fmtm. Delivered GeoJSON-first data extraction workflow and data exposure, migrated FlatGeobuf data hosting to S3 for durability, expanded project analytics, and enhanced admin capabilities. Also improved CI reliability and test stability, and completed targeted backend fixes to ensure robust data handling and SQL correctness.
March 2025 performance highlights for hotosm/fmtm. Delivered GeoJSON-first data extraction workflow and data exposure, migrated FlatGeobuf data hosting to S3 for durability, expanded project analytics, and enhanced admin capabilities. Also improved CI reliability and test stability, and completed targeted backend fixes to ensure robust data handling and SQL correctness.
January 2025: Delivered a major geospatial data model refactor for hotosm/fmtm by storing geometry as GeoJSON in PostgreSQL JSONB. This change involved renaming fields, updating insertion logic to accommodate the new data type, and aligning the codebase with the new data model. The work improves data integrity, interoperability with geospatial tooling, and future-proofing of storage for geometries.
January 2025: Delivered a major geospatial data model refactor for hotosm/fmtm by storing geometry as GeoJSON in PostgreSQL JSONB. This change involved renaming fields, updating insertion logic to accommodate the new data type, and aligning the codebase with the new data model. The work improves data integrity, interoperability with geospatial tooling, and future-proofing of storage for geometries.
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