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)
Contributed to OtagoPolytechnic/Cloudy-with-a-Chance-of-LoRa by building and refining data APIs, enhancing both backend reliability and frontend integration. Delivered new endpoints for rain and humidity data, implemented IP-based rate limiting, and standardized database schema usage to ensure accurate data ingestion. Improved deployment workflows through Docker and CI/CD automation, while enforcing code quality with Prettier and comprehensive test coverage using Cypress and Vitest. Refactored project structure for maintainability and updated security configurations, including CORS rules. Worked extensively with JavaScript, Python, and TypeScript, focusing on robust API development, database management, and automated testing to support reliable analytics and streamlined releases.
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
16 peopleSame Organization
@student.op.ac.nz5
Kayla Patterson (1000112643)Member
Bradley RobertsonMember
Jackson Williamson (1000107223)Member
ChubbyLobstersMember
ChubbyLobstersMember
Shared Repositories
11
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
Overview of all repositories you've contributed to across your timeline