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ACR-30 Implementation of auth module #2
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…ation - Created main FastAPI application in `app/main.py` with health check and root endpoints. - Implemented user authentication routes in `app/auth/routes.py` for signup, login, and token refresh. - Added Firebase authentication service in `app/auth/firebase_auth.py` for user management and token handling. - Defined request and response models in `app/auth/models.py` for user data. - Included CORS middleware for cross-origin requests. - Set up global exception handling for improved error responses. - Created entry point in `run.py` to run the FastAPI application.
- Introduced `env.example` to provide a template for Firebase and application configuration. - Included options for Firebase credentials and JWT secret. - Added server and CORS configuration settings for development environment.
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Summary of Changes
Hello @arvi18, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!
This pull request introduces a new, comprehensive authentication API built with FastAPI, deeply integrating with Firebase Authentication. It provides a structured approach to user management, including signup, login, and token refresh functionalities, alongside robust authentication and authorization dependencies for protecting API endpoints. The changes also refine the application's startup process and provide clear environment configuration examples.
Highlights
- Firebase Authentication Integration: Implemented a comprehensive authentication system leveraging Firebase Admin SDK for user management (creation, verification, retrieval) and custom JWTs for access and refresh tokens.
- FastAPI Authentication Dependencies: Introduced FastAPI
Dependsfunctions for current user authentication, active user checks, and role-based access control, includingrequire_adminandrequire_userdependencies. - Authentication API Endpoints: Provided a full suite of authentication endpoints under
/auth, including/signup,/login,/refresh(for tokens),/me(current user info),/logout, and/verify(token validity). - Application Structure and Configuration: Established a clear
app/authmodule structure for authentication components and included anenv.examplefile for environment variable configuration, making the application ready for deployment. - Application Entry Point Refactor: Separated the FastAPI application startup logic into a dedicated
run.pyfile, while repurposingmain.pyfor a different, likely CI/CD related, script.
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- Introduced a comprehensive README.md detailing the features, setup instructions, and API endpoints for the FastAPI-based authentication system with Firebase integration. - Added project structure overview, environment variable configuration, and security considerations. - Included examples for user registration, login, and protected routes. - Updated requirements.txt to include firebase-admin and PyJWT for authentication functionality. - Created example protected routes in app/example_protected_routes.py to demonstrate role-based access control and user authentication. - Added test_auth.py as a placeholder for future tests.
- Introduced a new test script `test_auth.py` to verify the authentication system setup. - Implemented tests for module imports, required environment variables, and FastAPI app creation. - Added detailed output for each test to facilitate debugging and ensure all components are functioning correctly. - The script serves as a foundational tool for validating the authentication system's readiness.
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Code Review
The pull request introduces a new authentication module using FastAPI and Firebase. My review identified several critical security vulnerabilities and correctness bugs that must be addressed, including a login flow that doesn't validate passwords, incorrect token verification logic, the use of a hardcoded fallback JWT secret, and insecure CORS policies. Additionally, there are other high and medium-severity issues related to leaking internal error details to clients, returning incorrect or incomplete data from endpoints, and a lack of proper logging. I've provided detailed comments and suggestions to fix these issues.
| try: | ||
| # In a real implementation, you would use Firebase Auth REST API | ||
| # For now, we'll simulate the authentication | ||
| user_record = auth.get_user_by_email(email) | ||
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| if user_record.disabled: | ||
| raise Exception("User account is disabled") | ||
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| # Generate JWT tokens | ||
| access_token = self._generate_access_token(user_record.uid, user_record.email) | ||
| refresh_token = self._generate_refresh_token(user_record.uid) | ||
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| # Get custom claims | ||
| custom_claims = auth.get_custom_user_claims(user_record.uid) | ||
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| return { | ||
| "access_token": access_token, | ||
| "refresh_token": refresh_token, | ||
| "user": { | ||
| "id": user_record.uid, | ||
| "email": user_record.email, | ||
| "first_name": custom_claims.get("first_name", ""), | ||
| "last_name": custom_claims.get("last_name", ""), | ||
| "is_active": not user_record.disabled, | ||
| "created_at": str(user_record.user_metadata.creation_timestamp) | ||
| } | ||
| } | ||
| except Exception as e: | ||
| raise Exception(f"Authentication failed: {str(e)}") |
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The sign_in_user method retrieves a user by email but never verifies the provided password. This allows anyone to log in as any user simply by knowing their email address. A real implementation needs to validate credentials. Since the Firebase Admin SDK doesn't support password verification directly, you would typically handle sign-in on the client and send the resulting ID token to the backend for verification, or use Firebase's Identity Platform REST API to verify the password on the server-side.
| class FirebaseAuthService: | ||
| def __init__(self): | ||
| self._initialize_firebase() | ||
| self.jwt_secret = os.getenv("JWT_SECRET", "your-secret-key") |
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Using a hardcoded, weak fallback for the JWT_SECRET is a critical security risk. If the JWT_SECRET environment variable is not set in production, the application will use this known, insecure key, allowing attackers to forge valid tokens. The application should fail to start if a secret key is not provided via environment variables.
| self.jwt_secret = os.getenv("JWT_SECRET", "your-secret-key") | |
| self.jwt_secret = os.getenv("JWT_SECRET") | |
| if not self.jwt_secret: | |
| raise ValueError("JWT_SECRET environment variable must be set") |
| async def verify_token(self, token: str) -> Optional[Dict[str, Any]]: | ||
| """Verify Firebase ID token""" | ||
| try: | ||
| decoded_token = auth.verify_id_token(token) | ||
| user_record = auth.get_user(decoded_token["uid"]) | ||
| custom_claims = auth.get_custom_user_claims(user_record.uid) | ||
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| return { | ||
| "uid": user_record.uid, | ||
| "email": user_record.email, | ||
| "first_name": custom_claims.get("first_name", ""), | ||
| "last_name": custom_claims.get("last_name", ""), | ||
| "role": custom_claims.get("role", "user") | ||
| } | ||
| except Exception as e: | ||
| print(f"Token verification failed: {e}") | ||
| return None |
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This function is critically flawed for two main reasons:
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Incorrect Verification Method: It uses
auth.verify_id_token(token)to validate a custom JWT generated by your_generate_access_tokenmethod. This will always fail becauseverify_id_tokenis designed for ID tokens issued by Firebase, not custom tokens signed with your own secret. You must usejwt.decode(token, self.jwt_secret, algorithms=[self.jwt_algorithm])instead. -
Incomplete User Data: The returned dictionary is missing key fields like
is_activeandcreated_at. This causes bugs in other parts of the application, such as the/auth/meendpoint and theget_current_active_userdependency.
| is_active=True, | ||
| created_at="" # You might want to fetch this from your database |
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The is_active and created_at fields are hardcoded here. is_active is always True, and created_at is an empty string. This provides incorrect information to the client. After fixing verify_token to include this data, update this to use the correct values from the current_user object.
| is_active=True, | |
| created_at="" # You might want to fetch this from your database | |
| is_active=current_user.get("is_active"), | |
| created_at=current_user.get("created_at", "") |
| except Exception as e: | ||
| raise Exception(f"Failed to create user: {str(e)}") |
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Catching a generic Exception and re-raising it with str(e) can leak sensitive implementation details to the client. This can provide attackers with useful information about your application's internals. Catch specific exceptions from the Firebase SDK (e.g., firebase_admin.auth.EmailAlreadyExistsError) and raise more generic errors for unexpected issues.
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| firebase_admin.initialize_app(cred) | ||
| except Exception as e: | ||
| print(f"Firebase initialization error: {e}") |
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Using print() for error messages is not suitable for a production application. It's better to use Python's standard logging module, which allows for configurable log levels, formats, and destinations. This is crucial for effective monitoring and debugging.
| print(f"Firebase initialization error: {e}") | |
| import logging | |
| logging.error(f"Firebase initialization error: {e}") |
| } | ||
| return jwt.encode(payload, self.jwt_secret, algorithm=self.jwt_algorithm) | ||
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| async def refresh_access_token(self, refresh_token: str) -> Optional[str]: |
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This method is defined as async def, but it does not perform any truly asynchronous operations. The firebase-admin library's auth.get_user method is synchronous, as are the jwt operations. Defining a method as async when it doesn't need to be can be misleading and adds unnecessary overhead.
| async def refresh_access_token(self, refresh_token: str) -> Optional[str]: | |
| def refresh_access_token(self, refresh_token: str) -> Optional[str]: |
| first_name: str | ||
| last_name: str | ||
| is_active: bool | ||
| created_at: str |
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Using str for created_at is acceptable, but it's better practice to use datetime from the datetime module. Pydantic and FastAPI can automatically handle the serialization of datetime objects to ISO 8601 strings in JSON responses, and it provides better type safety within your application code.
| created_at: str | |
| created_at: datetime |
| # Include protected routes (examples) | ||
| app.include_router(protected_router) | ||
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| # Global exception handler | ||
| @app.exception_handler(Exception) | ||
| async def global_exception_handler(request, exc): |
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The global exception handler completely swallows the exception without logging it. This will make debugging any unexpected server-side errors extremely difficult, as there will be no record of what went wrong. Add a logging statement here to record the exception details for monitoring and debugging.
| def main(): | ||
| github_event_name = os.getenv("GITHUB_EVENT_NAME") | ||
| github_event_path = os.getenv("GITHUB_EVENT_PATH") | ||
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| # Include listener router | ||
| app.include_router(listener.router) | ||
| print(f"Received GitHub event: {github_event_name}") | ||
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| if not github_event_path: | ||
| print("GITHUB_EVENT_PATH not set, cannot read event data.") | ||
| return | ||
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| try: | ||
| with open(github_event_path, "r") as file: | ||
| event_data = json.load(file) | ||
| print("Event JSON Payload:") | ||
| print(json.dumps(event_data, indent=2)) | ||
| except Exception as e: | ||
| print(f"Error reading event data: {e}") | ||
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| if __name__ == "__main__": | ||
| import uvicorn | ||
| uvicorn.run(app, host="0.0.0.0", port=8000, reload=True) | ||
| main() |
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This file's content appears to be for processing GitHub Actions events, which is unrelated to the FastAPI application it replaced. The application is now started via run.py. This main.py file at the project root is confusing and could mislead developers. Rename it to be more descriptive (e.g., github_event_processor.py) or remove it if it's no longer needed.
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| types: [opened, synchronize, reopened] | ||
| push: | ||
| types: [opened, reopened, ready_for_review, review_requested] | ||
| issue_comment: |
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