AFA-Tooling/GradeSync
Apr 2025 – Apr 2025
1 Month active
Languages Used
DockerfileJSONMarkdownPython
Technical Skills
API IntegrationAutomationCloud RunData EngineeringDockerGoogle Sheets API
nawoda2
PROFILE
Nawoda2
Nawoda developed an end-to-end data synchronization pipeline for the AFA-Tooling/GradeSync repository, automating the extraction of PrairieLearn gradebook and question-level data and populating it into configured Google Sheets. Leveraging Python, Docker, and the Google Sheets API, Nawoda designed a robust solution that manages API interactions, data transformation, and error handling to ensure reliable and repeatable integrations. The implementation included a dedicated Python script, Dockerfile, and configuration files, and incorporated proven components from the pl2 repository to accelerate delivery. This work addressed the need for automated, accurate data transfer between PrairieLearn and Google Sheets within educational workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
1Total
Bugs
0
Commits
1
Features
1
Lines of code
821
Activity Months1
Your Network
7 people
Work History
April 2025
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered end-to-end PrairieLearn Google Sheets Data Synchronization in AFA-Tooling/GradeSync, enabling automated extraction of PrairieLearn gradebook and question-level data and population into configured Google Sheets. Delivered with a Python script, Dockerfile, and configuration files to manage API interactions, data transformation, and robust error handling for reliable data integration. Brought over pl folder from the pl2 repo to reuse proven components and accelerate delivery.
1 Commits • 1 Features
Apr 1, 2025April 2025: Delivered end-to-end PrairieLearn Google Sheets Data Synchronization in AFA-Tooling/GradeSync, enabling automated extraction of PrairieLearn gradebook and question-level data and population into configured Google Sheets. Delivered with a Python script, Dockerfile, and configuration files to manage API interactions, data transformation, and robust error handling for reliable data integration. Brought over pl folder from the pl2 repo to reuse proven components and accelerate delivery.
April 2025
Activity
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Quality Metrics
Correctness90.0%
Maintainability80.0%
Architecture90.0%
Performance80.0%
AI Usage40.0%
Skills & Technologies
Programming Languages
DockerfileJSONMarkdownPython
Technical Skills
API IntegrationAutomationCloud RunData EngineeringDockerGoogle Sheets APIPandasPrairieLearn APIPython
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