
Over seven months, Beteva contributed to the mxcube/mxcubecore repository by building and refining backend systems for beamline hardware configuration, data logging, and experimental control. Using Python and YAML, Beteva migrated configuration loading from XML, centralized beam monitoring, and improved state management for hardware objects, enabling more reliable and reproducible experiments. The work included robust error handling, code linting, and refactoring to enhance maintainability and data integrity, particularly in XRF spectrum data integration and file transfer operations. Beteva’s engineering demonstrated depth in hardware abstraction, configuration management, and scientific data processing, resulting in more stable, traceable, and maintainable beamline operations.

October 2025 — In mxcube/mxcubecore, focused on robustness, data integrity, and maintainability to support reliable long-running scans and larger file transfers. Delivered two key features with direct business value: (1) enhanced date handling and file transfer robustness, enabling ISO-formatted timestamps with microsecond precision across scan types and increasing upload timeout to 30s to support larger payloads; (2) ESRFXRFSpectrum stability and readability improvements, restoring the correct config_fit attribute for the fitting configuration and simplifying the attenuators configuration. These changes improve data integrity, reduce failure modes in file transfers, and improve maintainability. Commits included: c3657d29783627c73fece71b54fe3fd038f4d4dd; 829de68ef24ec5fa755bd43c9ecc49b04df2d141; b17e69d62e799a110dbda8670c25d2e087565179.
October 2025 — In mxcube/mxcubecore, focused on robustness, data integrity, and maintainability to support reliable long-running scans and larger file transfers. Delivered two key features with direct business value: (1) enhanced date handling and file transfer robustness, enabling ISO-formatted timestamps with microsecond precision across scan types and increasing upload timeout to 30s to support larger payloads; (2) ESRFXRFSpectrum stability and readability improvements, restoring the correct config_fit attribute for the fitting configuration and simplifying the attenuators configuration. These changes improve data integrity, reduce failure modes in file transfers, and improve maintainability. Commits included: c3657d29783627c73fece71b54fe3fd038f4d4dd; 829de68ef24ec5fa755bd43c9ecc49b04df2d141; b17e69d62e799a110dbda8670c25d2e087565179.
September 2025 monthly summary for mxcubecore: Delivered features and fixes that improve configuration robustness, beamline hardware integration, and time parsing reliability; resulting in more stable operations and faster issue resolution for beamlines. Highlights include alignment with yanl configuration, robust aperture calculations, guarded snapshot rotation, and hardened ICATLIMS time parsing.
September 2025 monthly summary for mxcubecore: Delivered features and fixes that improve configuration robustness, beamline hardware integration, and time parsing reliability; resulting in more stable operations and faster issue resolution for beamlines. Highlights include alignment with yanl configuration, robust aperture calculations, guarded snapshot rotation, and hardened ICATLIMS time parsing.
August 2025 focused on strengthening beam configuration and monitoring reliability in mxcubecore to deliver repeatable experimental conditions and safer energy-mod adjustments. Key features delivered optimize beam control for ID30B and streamline beam validation, setting the stage for more automated experiments and reduced operational risk.
August 2025 focused on strengthening beam configuration and monitoring reliability in mxcubecore to deliver repeatable experimental conditions and safer energy-mod adjustments. Key features delivered optimize beam control for ID30B and streamline beam validation, setting the stage for more automated experiments and reduced operational risk.
July 2025 monthly summary focusing on delivering business value through XRF data integration, code quality improvements, and data integrity enhancements across core MXCube components. Emphasis on reliability, maintainability, and clear data provenance for downstream analytics and reporting.
July 2025 monthly summary focusing on delivering business value through XRF data integration, code quality improvements, and data integrity enhancements across core MXCube components. Emphasis on reliability, maintainability, and clear data provenance for downstream analytics and reporting.
In May 2025, delivered a focused code quality improvement for the core repository (mxcubecore) by performing linting cleanup and tightening the Ruff configuration across the codebase. This establishes stronger quality gates, improves readability, and accelerates maintainability, supporting faster PR reviews and fewer lint-related issues in CI. No major bug fixes were required this month; the emphasis was on quality, consistency, and long-term reliability.
In May 2025, delivered a focused code quality improvement for the core repository (mxcubecore) by performing linting cleanup and tightening the Ruff configuration across the codebase. This establishes stronger quality gates, improves readability, and accelerates maintainability, supporting faster PR reviews and fewer lint-related issues in CI. No major bug fixes were required this month; the emphasis was on quality, consistency, and long-term reliability.
March 2025 monthly summary for mxcubecore: Delivered robust beam control enhancements, expanded data collection flexibility, and a critical bug fix, driving reliability and operational efficiency for experiments. Focused on improving robustness, maintainability, and observability across core components, with concrete impact on ESRF-related workflows and detector handling.
March 2025 monthly summary for mxcubecore: Delivered robust beam control enhancements, expanded data collection flexibility, and a critical bug fix, driving reliability and operational efficiency for experiments. Focused on improving robustness, maintainability, and observability across core components, with concrete impact on ESRF-related workflows and detector handling.
January 2025 monthly summary for mxcubecore: delivered YAML-based configuration loading for Bliss and ESRF hardware, improved hardware state management, and enhanced data traceability with ISPyB session IDs, driving better configurability, reliability, and data governance.
January 2025 monthly summary for mxcubecore: delivered YAML-based configuration loading for Bliss and ESRF hardware, improved hardware state management, and enhanced data traceability with ISPyB session IDs, driving better configurability, reliability, and data governance.
Overview of all repositories you've contributed to across your timeline