OtagoPolytechnic/Cloudy-with-a-Chance-of-LoRa
Oct 2024 – Nov 2024
2 Months active
Languages Used
CSSGitGit IgnoreJavaScriptSQLShellYAMLDockerfile
Technical Skills
API DevelopmentAPI TestingBackend DevelopmentCI/CDCode FormattingConfiguration
Samantha Craig (1000048108)
PROFILE
Samantha Craig (1000048108)
Over two months, Craig Raistrick contributed to OtagoPolytechnic/Cloudy-with-a-Chance-of-LoRa by building and refining data APIs, improving deployment reliability, and enhancing code quality. He developed endpoints for rain and humidity data, implemented IP-based rate limiting, and aligned backend data ingestion with the database schema. Craig refactored the project structure for maintainability, updated Docker deployment workflows, and enforced code formatting through CI/CD automation. He expanded test coverage using Cypress and Vitest, cleaned up test artifacts, and improved configuration management. Working primarily with TypeScript, Python, and JavaScript, Craig’s work addressed data reliability, maintainability, and streamlined the development and release process.
Overall Statistics
Feature vs Bugs
58%Features
Repository Contributions
52Total
Bugs
11
Commits
52
Features
15
Lines of code
10,457
Activity Months2
Your Network
14 peopleSame Organization
@student.op.ac.nz5
Work History
November 2024
34 Commits • 13 Features
Nov 1, 2024November 2024 (OtagoPolytechnic/Cloudy-with-a-Chance-of-LoRa) delivered meaningful improvements to data APIs, deployment reliability, and code quality. The month focused on reinforcing data reliability, accelerating feature delivery, and improving maintainability across the repository. Key outcomes include upgraded rain data endpoints and retrieval for graph and all rainfall data, a structural refactor moving Python code outside the app directory for easier maintenance, and UI/back-end alignment that adds Clouds UI support and a humidity API route. Infrastructure and security got stricter with updated staging configs, Docker/compose updates, image tag changes, and adjusted CORS rules, reducing deployment risk and exposure. Quality and test coverage were strengthened through an expanded testing framework (Cypress and Vitest), test scaffolding, and code-cleanup efforts, delivering a more robust release cycle going forward.
34 Commits • 13 Features
Nov 1, 2024November 2024 (OtagoPolytechnic/Cloudy-with-a-Chance-of-LoRa) delivered meaningful improvements to data APIs, deployment reliability, and code quality. The month focused on reinforcing data reliability, accelerating feature delivery, and improving maintainability across the repository. Key outcomes include upgraded rain data endpoints and retrieval for graph and all rainfall data, a structural refactor moving Python code outside the app directory for easier maintenance, and UI/back-end alignment that adds Clouds UI support and a humidity API route. Infrastructure and security got stricter with updated staging configs, Docker/compose updates, image tag changes, and adjusted CORS rules, reducing deployment risk and exposure. Quality and test coverage were strengthened through an expanded testing framework (Cypress and Vitest), test scaffolding, and code-cleanup efforts, delivering a more robust release cycle going forward.
November 2024
October 2024
18 Commits • 2 Features
Oct 1, 2024October 2024 performance summary for OtagoPolytechnic/Cloudy-with-a-Chance-of-LoRa: Focused on delivering reliable data access, accurate data ingestion, and higher code quality through automated tooling. Key outcomes include a new Rain Data API endpoint at /api/rain-data with IP-based rate limiting to ensure clients receive fresh rain_gauge data while preventing abuse; ingestion fixes that align writes with the rain_gauge table and rename the field from rain to rain_gauge across routes and helpers; and a set of housekeeping and CI/CD improvements that reduce test noise and enforce code style consistently across the repo. These efforts improve data reliability for downstream analytics, reduce maintenance overhead, and accelerate developer throughput.
October 2024
18 Commits • 2 Features
Oct 1, 2024October 2024 performance summary for OtagoPolytechnic/Cloudy-with-a-Chance-of-LoRa: Focused on delivering reliable data access, accurate data ingestion, and higher code quality through automated tooling. Key outcomes include a new Rain Data API endpoint at /api/rain-data with IP-based rate limiting to ensure clients receive fresh rain_gauge data while preventing abuse; ingestion fixes that align writes with the rain_gauge table and rename the field from rain to rain_gauge across routes and helpers; and a set of housekeeping and CI/CD improvements that reduce test noise and enforce code style consistently across the repo. These efforts improve data reliability for downstream analytics, reduce maintenance overhead, and accelerate developer throughput.
Activity
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Quality Metrics
Correctness85.2%
Maintainability87.4%
Architecture81.2%
Performance80.8%
AI Usage20.8%
Skills & Technologies
Programming Languages
CSSDockerfileGitGit IgnoreJSONJSXJavaScriptMarkdownPythonSQL
Technical Skills
API ConfigurationAPI DevelopmentAPI IntegrationAPI SecurityAPI TestingBackend DevelopmentCI/CDCode CleanupCode FormattingConfigurationConfiguration ManagementCypressDatabase InteractionDatabase ManagementDevOps
Repositories Contributed To
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