March 2026 highlights for AstarVienna/METIS_Pipeline focused on strengthening data integrity and cross-platform reliability. Implemented targeted fixes to stabilize the image processing path and ensure robust imports across environments.

November 2025 monthly summary for AstarVienna/METIS_Pipeline: Implemented key features and fixes to improve pipeline reliability and maintainability. Delivered a consolidated DataItem registry by importing all recipes into a single registry entry point, enabling easier extension and access (commit 3b0114c63ec0fb5719a20f3ed5e8c865fa56e541). Fixed header management to prevent duplication and type mismatches by isolating headers, enforcing unique per data product, adding dummy headers, and providing a header-dummy utility (commits 21e9884db6b771314e70bc4cc487abf241b5f141; 3d60021b8770b641a3dedcf43d5a3bc2a7d01488; 8bd517b6606e7fcd0942c8c92616bc2d2a009198; 0d382176cf1e8de3f2d8b8361e17cedaae9daf69). Ensured all required raw data load, including wcu_off, to guarantee proper image processing pipeline operation (commit 461070cb2c8093ea23eb576dfd7e47a3d3638ab9). Updated Python 3.11 compatibility by adjusting f-strings to improve maintainability (commit ea5c77d3dddd6fcaa776ae8d48559a812ebbdf02). Overall impact: fewer runtime errors, more predictable data handling, easier onboarding, and a solid foundation for future features. Technologies/skills demonstrated: Python 3.11 readiness, modular import architecture, data header management, and robust data loading workflows.

October 2025 (AstarVienna/METIS_Pipeline): Implemented automated figure generation and data visualization infrastructure to produce visuals from EDPS and METIS pipelines. Delivered end-to-end automation, including scripts, a data storage directory, CI workflows, and documentation. Reused logic from run_edps_cached.yaml to enhance reliability and maintainability.

August 2025 METIS_Pipeline: Delivered a comprehensive Self-hosted GitHub Actions Runner Setup Guide for Fedora with Podman, enabling teams to deploy reproducible CI on Fedora hosts. The guide covers prerequisites, workspace setup, Containerfile creation, image build, running the container, verification steps, optional systemd auto-start, security notes, and cleanup. This work is linked to commit 96a6bf4f6767c7a3aed31744d3ceeb2e12653189 (Add github runner note by Chi-Hung). No major bugs were reported this month. Overall impact: reduces onboarding time and CI costs by enabling a robust self-hosted runner option, while improving CI reliability. Technologies/skills demonstrated: Linux (Fedora), Podman, containerization, GitHub Actions, technical writing, security considerations, and systemd automation.

July 2025 METIS_Pipeline: Re-enabled EDPS tests in CI to validate the pipeline post-fixes; implemented a temporary workaround to bypass broken to_cplui calls in ImageDataItem and TableDataItem due to pyesorex 1.0.3, preserving data processing while awaiting a library fix. Plan to reinstate full to_cplui and EDPS tests once dependency issues are resolved. The changes strengthen CI reliability, reduce release risk, and maintain data flow stability, delivering business value through increased testing coverage and pipeline confidence.

June 2025 performance: Delivered two targeted bug fixes across arXiv/arxiv-docs and AstarVienna/METIS_Pipeline, with no new features released this month. The fixes improved user-facing documentation rendering and standardized keyword naming across the METIS pipeline, reducing misclassification risk and improving data processing reliability.

March 2025 monthly summary for METIS_Pipeline (AstarVienna). Focused on improving configuration clarity, reproducibility, and stability of Metis workflows. Delivered two main features: 1) Metis parameter configuration improvements, including renaming default_parameters to science_parameters and introducing a realistic metis_parameters.yaml with default, qc0, science, and idp configurations and proper is_default overrides; 2) Dependency update to pyesorex 1.0.2 stable release. No major bugs fixed this month; work emphasized configuration correctness, maintainability, and reliability of pipelines. Impact: clearer experiment setups, reduced misconfiguration risk, improved reproducibility, and more stable CI pipeline. Skills demonstrated: YAML configuration design, parameterization, versioned configuration management, and dependency versioning.

February 2025 monthly summary for AstarVienna/METIS_Pipeline focusing on CI workflow enhancements to enable end-to-end Metis validation, test data alignment with the feature branch, and improved CI branch handling. No major bugs fixed this month; primary value delivered through feature delivery and process improvements.

December 2024 METIS_Pipeline monthly summary: Delivered packaging cleanup, Metis workflow defaults, and CI automation, resulting in cleaner releases, reproducible defaults, and broader data processing coverage. Business value includes reduced packaging conflicts, repeatable build configurations, automated testing, and expanded data processing scope.

November 2024 focused on modernizing CI/CD, stabilizing the end-to-end METIS_Pipeline workflow, and improving codebase hygiene and documentation. The team delivered automated, reproducible builds, strengthened testing, and clearer, compliant project governance, enabling faster feedback and more reliable production readiness.

October 2024: METIS_Pipeline delivered a packaging overhaul and onboarding improvements to enhance deployment reliability, discoverability, and configurability. Structural packaging changes, initialization scaffolding, and documentation updates reduce setup time and maintenance, laying groundwork for future METIS enhancements. No major bugs fixed this month; focus was on delivering features and docs.