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Implement user account-related Pydantic schemas and endpoints #1

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  • Add Pydantic schemas for user registration, activation, password reset, login and token refresh
  • Add example data for each schema in examples/accounts.py
  • Add detailed docstrings to all account-related schemas
  • Fix imports in schemas' __init__.py
  • Update .flake8 configuration to exclude migrations
  • Add user registration endpoint with email validation
  • Add account activation endpoint with token verification
  • Implement password reset request and completion endpoints
  • Add user login endpoint with JWT token generation
  • Add token refresh endpoint for access token renewal
  • Add comprehensive API documentation with examples

- Add Pydantic schemas for user registration, activation, password reset, login and token refresh
- Add example data for each schema in examples/accounts.py
- Add detailed docstrings to all account-related schemas
- Fix imports in schemas' __init__.py
- Update .flake8 configuration to exclude migrations
- Add user registration endpoint with email validation
- Add account activation endpoint with token verification
- Implement password reset request and completion endpoints
- Add user login endpoint with JWT token generation
- Add token refresh endpoint for access token renewal
- Add comprehensive API documentation with examples
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@mateacademy-ai-mentor mateacademy-ai-mentor left a comment

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Thank you for your hard work on this Pull Request! 😊 While you've made great progress, there are a few critical issues that need to be addressed before we can approve it:

  1. Error Handling: The error messages for invalid input data are too generic. Providing more specific error messages will help clients understand what went wrong and improve the overall user experience.

  2. Security Concerns: Catching BaseSecurityError along with SQLAlchemyError might mask specific security-related exceptions. It's important to handle these exceptions separately to ensure that security issues are properly addressed and communicated.

  3. Password Handling: Directly assigning reset_data.password to user.password without hashing it is a security risk. Please ensure that passwords are hashed before storing them in the database to protect user data.

  4. Password Hashing: Similarly, ensure that the raw_password parameter is handled with care and that the UserModel.create method properly hashes passwords before storage.

Once these issues are resolved, your code will be much more robust and secure. Keep up the great work, and I look forward to seeing the improvements! 🚀

✨ Please rate this review in the Platform's notification center. I will be grateful for your feedback! ✨

🔄 Fix the issues, commit the changes, and then re-request my review using the Re-request review button in the Reviewers tab.

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@mateacademy-ai-mentor mateacademy-ai-mentor left a comment

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Thank you for your submission! 🎉 While your code is generally well-structured, there are a few critical issues that need attention to enhance its robustness and security:

  1. Error Handling: The error messages for exceptions, such as IntegrityError, are too generic. Providing more specific error messages will improve debugging and user feedback.

  2. Security Concerns: Catching BaseSecurityError along with SQLAlchemyError might mask important security-related exceptions. Handle these separately to ensure security issues are properly addressed.

  3. Password Handling: Directly assigning reset_data.password to user.password without hashing is a security risk. Ensure passwords are hashed before storage to protect user data.

Despite these issues, I am approving your Pull Request to help you move forward with your learning. Please review the comments and address these critical issues in future iterations to improve your code quality and security. Keep up the good work and continue learning from these experiences! 🚀

✨ Please rate this review in the Platform's notification center. I will be grateful for your feedback! ✨

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@AnyoneClown AnyoneClown left a comment

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LGTM

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3 participants