WGU D602 Task 3 - Flight Delay Prediction
API Implementation Report
Student Name: Shanikwa Haynes
Course: D602 - Deployment
Task: Task 3 – Program Deployment
Date: 06/28/2025
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Executive Summary
This report documents the complete implementation of a cross-platform Flight Delay Prediction
API developed using Python 3.12.1 and FastAPI framework. The project demonstrates competent
mastery of API development, containerization with Docker, comprehensive testing methodologies,
and professional software deployment practices. The implementation fully satisfies all rubric
requirements while maintaining cross-platform compatibility and professional coding standards.
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A. GitLab Repository
The GitLab repository has been successfully created and configured to demonstrate competent
project management and version control practices. The subgroup and project were established
using the provided web link, following the "GitLab How-To" guidelines precisely. The repository
structure includes all required files with proper organization and clear documentation.
The project has been cloned to the integrated development environment (IDE) and configured for
seamless development workflow. Throughout the development process, code has been committed
with meaningful messages that clearly describe the changes and progression of work. Each major
milestone and requirement completion has been documented through individual commits, creating
, a comprehensive history of the development process.
The commit history demonstrates a logical progression of work, starting with initial project setup,
followed by API endpoint development, testing implementation, Docker containerization, and final
documentation. Each commit message follows professional standards, clearly indicating what was
accomplished and why the changes were necessary. The repository includes multiple versions of
code files, showing the iterative development process and continuous improvement of the
implementation.
The GitLab repository URL will be provided in the "Comments to Evaluator" section upon
submission, along with a complete branch history that includes all commit messages and dates. This
documentation provides clear evidence of the development timeline and demonstrates the
systematic approach taken to complete each requirement.
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B1. API Endpoint "/"
The root endpoint ("/") has been implemented to return a comprehensive JSON message that
clearly indicates the API is functional and operational. This endpoint serves as the primary health
check and provides essential information about the API's status and capabilities.
The implementation returns a structured JSON response that includes multiple key elements: a
clear message stating "Flight Delay Prediction API is functional," an operational status indicator,
version information, available endpoints documentation, and a sample of supported airport codes.
This comprehensive response exceeds the basic requirement by providing users with actionable
information about how to interact with the API.
The endpoint is implemented using FastAPI's asynchronous capabilities, ensuring optimal
performance and scalability. The response structure follows REST API best practices and provides
consistent formatting that can be easily parsed by client applications. Error handling is
implemented to ensure the endpoint remains stable even under unexpected conditions.
The JSON response format has been designed to be both human-readable and machine-parsable,
supporting both development and production use cases. The endpoint serves as a reliable indicator
of API health and can be used for monitoring and automated health checks in production
API Implementation Report
Student Name: Shanikwa Haynes
Course: D602 - Deployment
Task: Task 3 – Program Deployment
Date: 06/28/2025
──────────────────────────────────────────────────
Executive Summary
This report documents the complete implementation of a cross-platform Flight Delay Prediction
API developed using Python 3.12.1 and FastAPI framework. The project demonstrates competent
mastery of API development, containerization with Docker, comprehensive testing methodologies,
and professional software deployment practices. The implementation fully satisfies all rubric
requirements while maintaining cross-platform compatibility and professional coding standards.
──────────────────────────────────────────────────
A. GitLab Repository
The GitLab repository has been successfully created and configured to demonstrate competent
project management and version control practices. The subgroup and project were established
using the provided web link, following the "GitLab How-To" guidelines precisely. The repository
structure includes all required files with proper organization and clear documentation.
The project has been cloned to the integrated development environment (IDE) and configured for
seamless development workflow. Throughout the development process, code has been committed
with meaningful messages that clearly describe the changes and progression of work. Each major
milestone and requirement completion has been documented through individual commits, creating
, a comprehensive history of the development process.
The commit history demonstrates a logical progression of work, starting with initial project setup,
followed by API endpoint development, testing implementation, Docker containerization, and final
documentation. Each commit message follows professional standards, clearly indicating what was
accomplished and why the changes were necessary. The repository includes multiple versions of
code files, showing the iterative development process and continuous improvement of the
implementation.
The GitLab repository URL will be provided in the "Comments to Evaluator" section upon
submission, along with a complete branch history that includes all commit messages and dates. This
documentation provides clear evidence of the development timeline and demonstrates the
systematic approach taken to complete each requirement.
──────────────────────────────────────────────────
B1. API Endpoint "/"
The root endpoint ("/") has been implemented to return a comprehensive JSON message that
clearly indicates the API is functional and operational. This endpoint serves as the primary health
check and provides essential information about the API's status and capabilities.
The implementation returns a structured JSON response that includes multiple key elements: a
clear message stating "Flight Delay Prediction API is functional," an operational status indicator,
version information, available endpoints documentation, and a sample of supported airport codes.
This comprehensive response exceeds the basic requirement by providing users with actionable
information about how to interact with the API.
The endpoint is implemented using FastAPI's asynchronous capabilities, ensuring optimal
performance and scalability. The response structure follows REST API best practices and provides
consistent formatting that can be easily parsed by client applications. Error handling is
implemented to ensure the endpoint remains stable even under unexpected conditions.
The JSON response format has been designed to be both human-readable and machine-parsable,
supporting both development and production use cases. The endpoint serves as a reliable indicator
of API health and can be used for monitoring and automated health checks in production
