AFA-Tooling/GradeSync
Nov 2024 – Nov 2024
1 Month active
Languages Used
DockerfilePythonShell
Technical Skills
API IntegrationAPI TestingAutomationBackend DevelopmentCron JobsData Processing
Victoria Phelps
PROFILE
Victoria Phelps
During November 2024, Jedi Force developed GradeSync, an automated data pipeline in the AFA-Tooling/GradeSync repository that synchronizes Gradescope grades to Google Sheets, generating per-assignment sheets and an instructor dashboard for aggregated insights. Jedi implemented the solution using Python scripting, Docker, and cron jobs to enable scheduled, authenticated data syncs, reducing manual data entry and improving data consistency. The work included robust error handling, backoff-based retries, and expanded API test coverage, particularly for the /getPLGrades endpoint. These engineering efforts enhanced operational visibility for instructors and positioned the system for maintainability and scalability across additional courses and broader usage.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
416
Activity Months1
Your Network
181 people
Work History
November 2024
5 Commits • 2 Features
Nov 1, 2024November 2024 (2024-11) focused on delivering a robust GradeSync automation and expanding API reliability. Key outcomes include an automated Gradescope-to-Google Sheets pipeline with per-assignment sheets and an instructor dashboard, a Dockerized cron for scheduled sync, and strengthened API resilience with improved error handling, backoff-based retries, and expanded test coverage. These efforts reduced manual data-entry overhead, improved data consistency, and provided better operational visibility for instructors.
5 Commits • 2 Features
Nov 1, 2024November 2024 (2024-11) focused on delivering a robust GradeSync automation and expanding API reliability. Key outcomes include an automated Gradescope-to-Google Sheets pipeline with per-assignment sheets and an instructor dashboard, a Dockerized cron for scheduled sync, and strengthened API resilience with improved error handling, backoff-based retries, and expanded test coverage. These efforts reduced manual data-entry overhead, improved data consistency, and provided better operational visibility for instructors.
November 2024
Activity
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Quality Metrics
Correctness84.0%
Maintainability84.0%
Architecture72.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
DockerfilePythonShell
Technical Skills
API IntegrationAPI TestingAutomationBackend DevelopmentCron JobsData ProcessingDependency ManagementDockerError HandlingGoogle Sheets APIGradescope APIPython ScriptingScripting
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