sdss/sdssdb
Oct 2024 – Oct 2025
9 Months active
Languages Used
PythonSQLCSV
Technical Skills
Database Schema DesignORMData ConfigurationData ManagementDatabase ManagementPython
John Donor
PROFILE
John Donor
Over nine months, J. Donor enhanced the sdss/sdssdb repository by designing and evolving complex data models and ETL pipelines to support scientific analytics and operational reporting. He implemented new database tables, schema changes, and Python ORM models to improve data lineage, integrity, and flexibility, using technologies such as Python, SQL, and Peewee ORM. His work included dynamic configuration generation, historical data tracking, and integration of LVM operations, all with careful attention to backward compatibility and maintainability. By addressing both feature development and data integrity issues, Donor delivered robust, scalable solutions that improved downstream analytics and streamlined data management processes.
Overall Statistics
Feature vs Bugs
87%Features
Repository Contributions
23Total
Bugs
2
Commits
23
Features
13
Lines of code
1,164
Activity Months9
Your Network
9 peopleSame Organization
@tcu.edu1
Work History
October 2025
3 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for sdss/sdssdb focusing on value delivered and technical achievements. Key features delivered include integration of LVM OpsDB into the sdss5db deployment by reusing the existing Python module without introducing new code, and the rollout of DR20 OpsDB schemas for LCO and APO with epoch/exposure-based data segmentation and refined data scope.
3 Commits • 2 Features
Oct 1, 2025October 2025 monthly summary for sdss/sdssdb focusing on value delivered and technical achievements. Key features delivered include integration of LVM OpsDB into the sdss5db deployment by reusing the existing Python module without introducing new code, and the rollout of DR20 OpsDB schemas for LCO and APO with epoch/exposure-based data segmentation and refined data scope.
October 2025
September 2025
6 Commits • 3 Features
Sep 1, 2025September 2025 performance summary for sdss/sdssdb. Focused on delivering core data metrics capabilities, aligning sandbox artifacts with the iota-1 plan, and simplifying the redo lifecycle for LVM tiles. Business value delivered includes reliable finished-target metrics, faster analytics through aligned views, and a cleaner, more maintainable data model.
September 2025
6 Commits • 3 Features
Sep 1, 2025September 2025 performance summary for sdss/sdssdb. Focused on delivering core data metrics capabilities, aligning sandbox artifacts with the iota-1 plan, and simplifying the redo lifecycle for LVM tiles. Business value delivered includes reliable finished-target metrics, faster analytics through aligned views, and a cleaner, more maintainable data model.
July 2025
1 Commits • 1 Features
Jul 1, 2025Month: 2025-07 | sdss/sdssdb: Data Model Enhancement for Overplan and Field Association. Implemented a new overplan table to capture input file and plan context, and added a foreign key from field to overplan to link field data to specific overplan entries. This data-model upgrade improves data lineage, reproducibility, and plan/file association, enabling more reliable downstream analytics and governance. Commit reference: 02e8ef2d7586c0bb83c3aec6c768682251a2a1d8.
1 Commits • 1 Features
Jul 1, 2025Month: 2025-07 | sdss/sdssdb: Data Model Enhancement for Overplan and Field Association. Implemented a new overplan table to capture input file and plan context, and added a foreign key from field to overplan to link field data to specific overplan entries. This data-model upgrade improves data lineage, reproducibility, and plan/file association, enabling more reliable downstream analytics and governance. Commit reference: 02e8ef2d7586c0bb83c3aec6c768682251a2a1d8.
July 2025
May 2025
1 Commits • 1 Features
May 1, 2025In May 2025, sdss/sdssdb delivered expanded data coverage for observation plan views by updating database version plans in daily and night scrape scripts and extending the created_views SQL query to include additional IDs. This enhancement increases data points in generated views, enabling richer reporting and more accurate analytics for observation plans. The work was delivered alongside a commit focused on data integrity (2ab9a29a44dc4bc825665c835189e66f0598d84d) addressing missing old cartons in carton_to_sdssid, which underpins reliable downstream reporting.
May 2025
1 Commits • 1 Features
May 1, 2025In May 2025, sdss/sdssdb delivered expanded data coverage for observation plan views by updating database version plans in daily and night scrape scripts and extending the created_views SQL query to include additional IDs. This enhancement increases data points in generated views, enabling richer reporting and more accurate analytics for observation plans. The work was delivered alongside a commit focused on data integrity (2ab9a29a44dc4bc825665c835189e66f0598d84d) addressing missing old cartons in carton_to_sdssid, which underpins reliable downstream reporting.
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for sdss/sdssdb focusing on data-model enhancements and long-term analytics readiness.
1 Commits • 1 Features
Apr 1, 2025April 2025 monthly summary for sdss/sdssdb focusing on data-model enhancements and long-term analytics readiness.
April 2025
February 2025
4 Commits • 2 Features
Feb 1, 2025February 2025: Focused on data-layer enhancements and robust state tracking to improve downstream analytics, data integrity, and maintainability for sdss/sdssdb. Delivered two features and fixed a critical data-mapping bug across the repository, with clear traceability to commits.
February 2025
4 Commits • 2 Features
Feb 1, 2025February 2025: Focused on data-layer enhancements and robust state tracking to improve downstream analytics, data integrity, and maintainability for sdss/sdssdb. Delivered two features and fixed a critical data-mapping bug across the repository, with clear traceability to commits.
December 2024
2 Commits • 1 Features
Dec 1, 2024Month 2024-12: Implemented Bright_mc_ext Cadence Configuration and Dynamic Generation for sdss/sdssdb, enabling programmatic cadence creation and loading with a CSV export of cadence data. Added a script to dynamically generate configuration files for Bright_mc_ext across epochs 2–40, increasing flexibility and scaling of cadence management.
2 Commits • 1 Features
Dec 1, 2024Month 2024-12: Implemented Bright_mc_ext Cadence Configuration and Dynamic Generation for sdss/sdssdb, enabling programmatic cadence creation and loading with a CSV export of cadence data. Added a script to dynamically generate configuration files for Bright_mc_ext across epochs 2–40, increasing flexibility and scaling of cadence management.
December 2024
November 2024
4 Commits • 1 Features
Nov 1, 2024November 2024: Delivered critical enhancements to Bright Boss cadence data and database schema in sdssdb, enabling new sample cadences, versioned cadence naming, and plan filtering. Fixed a data integrity issue in bright_boss.csv to ensure accurate cadence data. These efforts improved data reliability, expanded cadence coverage, and laid groundwork for scalable cadence management.
November 2024
4 Commits • 1 Features
Nov 1, 2024November 2024: Delivered critical enhancements to Bright Boss cadence data and database schema in sdssdb, enabling new sample cadences, versioned cadence naming, and plan filtering. Fixed a data integrity issue in bright_boss.csv to ensure accurate cadence data. These efforts improved data reliability, expanded cadence coverage, and laid groundwork for scalable cadence management.
October 2024
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for sdss/sdssdb: Focused on expanding the camera frame data model to support enhanced signal-to-noise analytics. Delivered a new field and prepared the Python model to handle it, enabling improved SN2 measurement coverage with minimal disruption to existing workflows.
1 Commits • 1 Features
Oct 1, 2024October 2024 monthly summary for sdss/sdssdb: Focused on expanding the camera frame data model to support enhanced signal-to-noise analytics. Delivered a new field and prepared the Python model to handle it, enabling improved SN2 measurement coverage with minimal disruption to existing workflows.
October 2024
Activity
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Quality Metrics
Correctness89.6%
Maintainability90.4%
Architecture88.6%
Performance82.6%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVPythonSQL
Technical Skills
Backend DevelopmentConfiguration ManagementData ConfigurationData ManagementData ProcessingDatabaseDatabase DesignDatabase ManagementDatabase ModelingDatabase Schema DesignORMORM (Peewee)Peewee ORMPythonPython Scripting
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