
Jonathan Haigh developed and refined configuration and settings management systems for the mantidproject/mantid repository, focusing on maintainability and robust user preference handling. He architected a centralized framework for application settings, integrating Python and C++ to streamline configuration persistence and UI consistency. His work included refactoring settings models, enhancing test coverage, and improving build and deployment scripts for both conda and standalone installations. By addressing cross-platform environment issues and applying static analysis tools, Jonathan improved code quality and reliability. He also contributed to package management in conda-forge, blacklisting problematic builds to reduce downstream failures and support efficient release cycles.

In 2025-03, focused on strengthening build reliability and reducing downstream issues for macOS ARM64 environments within the conda-forge admin workflow. Delivered a YAML manifest that explicitly blacklists broken quasielasticbayes macOS ARM64 package versions, preventing their installation and surfacing them for investigation. This reduces user environment failures, lowers support overhead, and accelerates root-cause analysis by making broken builds visible to the team.
In 2025-03, focused on strengthening build reliability and reducing downstream issues for macOS ARM64 environments within the conda-forge admin workflow. Delivered a YAML manifest that explicitly blacklists broken quasielasticbayes macOS ARM64 package versions, preventing their installation and surfacing them for investigation. This reduces user environment failures, lowers support overhead, and accelerates root-cause analysis by making broken builds visible to the team.
February 2025 monthly summary for mantid project: delivered key cross-installation improvements for Mantid Workbench and fixed environment handling to ensure robust XKB config and launcher behavior across conda and standalone installations. These changes reduce GUI-related issues, improve deployment reliability, and demonstrate strong scripting, environment management, and cross-platform skills.
February 2025 monthly summary for mantid project: delivered key cross-installation improvements for Mantid Workbench and fixed environment handling to ensure robust XKB config and launcher behavior across conda and standalone installations. These changes reduce GUI-related issues, improve deployment reliability, and demonstrate strong scripting, environment management, and cross-platform skills.
January 2025 monthly summary for the mantid project (mantid repo). Focused on stability, robustness, test efficiency, and release readiness. Key outcomes include stability fixes for ScriptRepositoryView first-time setup, plotting module robustness improvements with test coverage, broad code quality and static analysis cleanups, faster unit tests via test infrastructure improvements, and updated release notes for version 6.12.0. These deliveries reduce first-run crashes, improve plotting reliability, shorten CI cycles, and enhance maintainability, delivering clear business value to users and developers.
January 2025 monthly summary for the mantid project (mantid repo). Focused on stability, robustness, test efficiency, and release readiness. Key outcomes include stability fixes for ScriptRepositoryView first-time setup, plotting module robustness improvements with test coverage, broad code quality and static analysis cleanups, faster unit tests via test infrastructure improvements, and updated release notes for version 6.12.0. These deliveries reduce first-run crashes, improve plotting reliability, shorten CI cycles, and enhance maintainability, delivering clear business value to users and developers.
December 2024: Focused on stabilizing script repository workflows in mantid. Key outcomes include (1) refactoring Script Repository Validation to use direct file existence checks for local and repository JSON files (removing QFileSystemWatcher dependency), (2) improving test reliability for script repository operations by updating tests to simulate directory moves via copy and cleanup, and (3) applying cppcheck-based code quality improvements targeting const-correctness and parameter passing.
December 2024: Focused on stabilizing script repository workflows in mantid. Key outcomes include (1) refactoring Script Repository Validation to use direct file existence checks for local and repository JSON files (removing QFileSystemWatcher dependency), (2) improving test reliability for script repository operations by updating tests to simulate directory moves via copy and cleanup, and (3) applying cppcheck-based code quality improvements targeting const-correctness and parameter passing.
Month 2024-11 Monthly Summary for mantid project focused on delivering centralized settings management, UI improvements, and robustness across the settings flow, with a strong emphasis on test coverage and release-readiness. Key features delivered: - Settings integration with main widget model: Centralized settings handling by integrating settings models into the main widget model to enable a single source of truth for configuration persistence and apply flow. (Commit: ebfe060d235d04ab8ac1926febaafe4b86be18ff) - User-facing Settings UI updates: Implemented UI updates for settings components to improve usability and consistency with the new settings model integration. (Commit: 3db085dd63770771c6e7380ad6738934a7517fdd) - Test framework and coverage improvements for settings: Expanded tests to cover settings changes, main settings model interactions, and UI-related behavior. (Commits: multiple, e.g. d4c928d77e13e9b5092c7123800beb608ddd80f5; 26ce6462d4c348ce49f4ff6eb31e95e6dd12a2bf) - Build/config and compatibility updates: Updated numpy version in conda build config across files to support numpy 2 and related fixes; introduced compatibility improvements. (Commits: 48751e19571df166a7a160ba621726dffc41a89c; 4fe4b29c7f23b1f1b481d816a2446ba477fc480b; 84b57c30553c71e92369c93c52a81f6e40ccaa50) - Code quality, linting, and API hygiene: Enforced Ruff NPY201 compliance and performed internal API refactors to improve privacy and API surface (Commits: 8ce05b6678621fdd6a2c4e44e08f49cbb4ec8eb7; 23fea006af74bbf08abe5ae460fd1477f2e5ddcb). Major bugs fixed: - Instrument selector updates: Fixed issue where instrument selector did not update in response to changes. (Commit: e2440e84e5597cc6f4c3a32a4cd27269d49ed426) - Settings close behavior: Ensure user_config changes are applied/considered when closing the settings or config screen. (Commit: b092101546b85c2932640d1421f55f1bf3565944) - Restart and change-tracking: Tie changes that require restart to the temporary changes tracking structure. (Commit: 630865b6baf66e15abd0c0b0795dd229d4bce8ad) - Recording instrument changes via facility changes: Ensure instrument changes via facility changes are recorded properly. (Commit: 6066edcbe66e5bf8008b6ca3d886b2ffec997860) - Other quality fixes: Additional numpy 2 compatibility fixes and guards against edge cases in the config/apply flow. (Commits: 84b57c30553c71e92369c93c52a81f6e40ccaa50; e0be53df5142981bc1182b6782839413e9ec8aa0) Overall impact and accomplishments: - Reduced risk in release by consolidating configuration management, tightening the apply/close flow, and improving test coverage. - Improved developer experience through clearer code structure, linting compliance, and better API hygiene, enabling faster iteration and safer future changes. - Prepared for broader numpy 2 compatibility and release readiness with documentation updates. Technologies/skills demonstrated: - Python, UI model/view integration, config management patterns, and test-driven development. - Code quality tooling: Ruff linting, numpy compatibility considerations, and internal API refactors. - Release/documentation discipline: Release notes and developer packaging guidance to streamline deployment.
Month 2024-11 Monthly Summary for mantid project focused on delivering centralized settings management, UI improvements, and robustness across the settings flow, with a strong emphasis on test coverage and release-readiness. Key features delivered: - Settings integration with main widget model: Centralized settings handling by integrating settings models into the main widget model to enable a single source of truth for configuration persistence and apply flow. (Commit: ebfe060d235d04ab8ac1926febaafe4b86be18ff) - User-facing Settings UI updates: Implemented UI updates for settings components to improve usability and consistency with the new settings model integration. (Commit: 3db085dd63770771c6e7380ad6738934a7517fdd) - Test framework and coverage improvements for settings: Expanded tests to cover settings changes, main settings model interactions, and UI-related behavior. (Commits: multiple, e.g. d4c928d77e13e9b5092c7123800beb608ddd80f5; 26ce6462d4c348ce49f4ff6eb31e95e6dd12a2bf) - Build/config and compatibility updates: Updated numpy version in conda build config across files to support numpy 2 and related fixes; introduced compatibility improvements. (Commits: 48751e19571df166a7a160ba621726dffc41a89c; 4fe4b29c7f23b1f1b481d816a2446ba477fc480b; 84b57c30553c71e92369c93c52a81f6e40ccaa50) - Code quality, linting, and API hygiene: Enforced Ruff NPY201 compliance and performed internal API refactors to improve privacy and API surface (Commits: 8ce05b6678621fdd6a2c4e44e08f49cbb4ec8eb7; 23fea006af74bbf08abe5ae460fd1477f2e5ddcb). Major bugs fixed: - Instrument selector updates: Fixed issue where instrument selector did not update in response to changes. (Commit: e2440e84e5597cc6f4c3a32a4cd27269d49ed426) - Settings close behavior: Ensure user_config changes are applied/considered when closing the settings or config screen. (Commit: b092101546b85c2932640d1421f55f1bf3565944) - Restart and change-tracking: Tie changes that require restart to the temporary changes tracking structure. (Commit: 630865b6baf66e15abd0c0b0795dd229d4bce8ad) - Recording instrument changes via facility changes: Ensure instrument changes via facility changes are recorded properly. (Commit: 6066edcbe66e5bf8008b6ca3d886b2ffec997860) - Other quality fixes: Additional numpy 2 compatibility fixes and guards against edge cases in the config/apply flow. (Commits: 84b57c30553c71e92369c93c52a81f6e40ccaa50; e0be53df5142981bc1182b6782839413e9ec8aa0) Overall impact and accomplishments: - Reduced risk in release by consolidating configuration management, tightening the apply/close flow, and improving test coverage. - Improved developer experience through clearer code structure, linting compliance, and better API hygiene, enabling faster iteration and safer future changes. - Prepared for broader numpy 2 compatibility and release readiness with documentation updates. Technologies/skills demonstrated: - Python, UI model/view integration, config management patterns, and test-driven development. - Code quality tooling: Ruff linting, numpy compatibility considerations, and internal API refactors. - Release/documentation discipline: Release notes and developer packaging guidance to streamline deployment.
October 2024 delivered a centralized Configuration Settings Framework across Mantid's UI layer, introducing a base settings model and dedicated domain models for General, Fitting, Category, and Plot settings. Refactors were accompanied by test updates to reflect the new models, enabling safer persistence of user preferences and robust curve-fitting parameters. The changes reduce duplication, improve maintainability, and lay groundwork for scalable configuration across features.
October 2024 delivered a centralized Configuration Settings Framework across Mantid's UI layer, introducing a base settings model and dedicated domain models for General, Fitting, Category, and Plot settings. Refactors were accompanied by test updates to reflect the new models, enabling safer persistence of user preferences and robust curve-fitting parameters. The changes reduce duplication, improve maintainability, and lay groundwork for scalable configuration across features.
Overview of all repositories you've contributed to across your timeline