Added new endpoints for get all incomplete and complete tasks

[valerie-valentine]

User description

Created new endpoints

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PR Type

Enhancement, Documentation

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Description

• Updated the database URI configuration in app/__init__.py to use SQLALCHEMY_DATABASE_URI instead of RENDER_DATABASE_URI.
• Added new endpoints in app/routes/task_routes.py to fetch all incomplete and complete tasks.

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Changes walkthrough 📝

Relevant files

Enhancement

__init__.py Update database URI configuration in app initialization    app/init.py Updated database URI configuration to use SQLALCHEMY_DATABASE_URI instead of RENDER_DATABASE_URI. Commented out the previous RENDER_DATABASE_URI configuration. +3/-3      task_routes.py Add endpoints for incomplete and complete tasks                    app/routes/task_routes.py Added endpoint to get all incomplete tasks. Added endpoint to get all complete tasks. +20/-0

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[github-actions]

PR Review 🔍

⏱️ Estimated effort to review [1-5]	2, because the changes are straightforward and localized to specific areas in the codebase. The modifications involve updating a configuration and adding new endpoints, which are typical tasks and should not require extensive review time.
🧪 Relevant tests	No
⚡ Possible issues	Possible Bug: The endpoints for fetching tasks do not handle exceptions that might occur during database operations. This could lead to server errors being exposed to the client.
🔒 Security concerns	No

Code feedback:

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relevant file	app/routes/task_routes.py
suggestion	Consider adding error handling for database operations in the new endpoints. This could involve wrapping the query in a try-except block and returning a user-friendly error message if an exception occurs. This will improve the robustness of the application and prevent potential crashes or unhandled exceptions. [important]
relevant line	tasks = Task.query.filter(Task.completed_at == None).all()

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relevant file	app/routes/task_routes.py
suggestion	Implement pagination for the endpoints that fetch all incomplete and complete tasks. This will help manage performance and usability especially when dealing with large datasets. You can use Flask's request.args to get pagination parameters and modify the query to limit the results returned. [important]
relevant line	tasks = Task.query.filter(Task.completed_at == None).all()

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[github-actions]

PR Code Suggestions ✨

Category	Suggestion	Score
Performance	Add an index to the completed_at column to improve query performance To improve the efficiency of the database queries for fetching incomplete and complete tasks, consider adding an index to the completed_at column if not already indexed. This will significantly speed up the query performance, especially as the dataset grows. app/routes/task_routes.py [104-114] +# Ensure 'completed_at' column is indexed to improve these queries tasks = Task.query.filter(Task.completed_at == None).all() tasks = Task.query.filter(Task.completed_at != None).all() Suggestion importance[1-10]: 9 Why: Adding an index to the completed_at column can significantly improve query performance, which is crucial for scalability as the dataset grows.	9
Maintainability	Remove commented-out alternative database URI configuration to enhance code clarity To avoid potential confusion and ensure clarity in the configuration setup, it's recommended to remove the commented-out alternative database URI configuration. This will help maintain a clean and understandable codebase, especially for new developers or when revisiting the code after some time. app/init.py [21-22] -# app.config["SQLALCHEMY_DATABASE_URI"] = os.environ.get( -# "RENDER_DATABASE_URI") +# Removed commented-out code for clarity Suggestion importance[1-10]: 8 Why: Removing commented-out code enhances readability and maintainability, making it easier for developers to understand the configuration setup.	8
	Refactor repeated task conversion logic into a utility function to reduce code duplication To reduce redundancy and improve code maintainability, consider refactoring the repeated logic for converting tasks to dictionaries into a separate utility function. This function can then be called in both endpoints, reducing code duplication and facilitating easier updates. app/routes/task_routes.py [105-115] -tasks_response = [task.to_dict() for task in tasks] -tasks_response = [task.to_dict() for task in tasks] +tasks_response = convert_tasks_to_response(tasks) +tasks_response = convert_tasks_to_response(tasks) Suggestion importance[1-10]: 8 Why: Refactoring repeated logic into a utility function enhances maintainability by reducing code duplication and making future updates easier.	8
Best practice	Rename the routes to include '/tasks/' prefix for better RESTful alignment To ensure that the API endpoints are self-documenting and adhere to RESTful standards, consider renaming the routes from "/incomplete" and "/complete" to "/tasks/incomplete" and "/tasks/complete". This modification will make the endpoint paths more descriptive and aligned with common REST practices. app/routes/task_routes.py [102-112] -@tasks_bp.route("/incomplete", methods=["GET"]) -@tasks_bp.route("/complete", methods=["GET"]) +@tasks_bp.route("/tasks/incomplete", methods=["GET"]) +@tasks_bp.route("/tasks/complete", methods=["GET"]) Suggestion importance[1-10]: 7 Why: Renaming the routes to include a '/tasks/' prefix improves clarity and aligns with RESTful standards, but it is more of a best practice than a critical change.	7