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Important Review skippedAuto reviews are disabled on base/target branches other than the default branch. Please check the settings in the CodeRabbit UI or the You can disable this status message by setting the WalkthroughNew comprehensive test modules and fixtures have been added to the backend, focusing on authentication routes and services. The changes introduce pytest-based test suites for email and Google authentication, token management, and password reset flows. Supporting dependencies and fixtures for in-memory MongoDB testing and asynchronous test execution are also included. Changes
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🧹 Nitpick comments (7)
backend/requirements.txt (1)
14-16: LGTM! Consider pinning versions for reproducibility.The testing dependencies are well-chosen and appropriate for the comprehensive test suite being added. However, consider pinning specific versions for better reproducibility and dependency management.
-pytest -pytest-asyncio -mongomock +pytest==8.3.4 +pytest-asyncio==0.24.0 +mongomock==4.2.0backend/app/tests/conftest.py (2)
4-4: Remove unused import.The
patchimport fromunittest.mockis not used in this file and should be removed.-from unittest.mock import patch
10-10: Remove unused import.The
close_mongo_connectionimport is not used in this file and should be removed.-from app.database import get_database, close_mongo_connection # Assuming you have a close connection function +from app.database import get_databasebackend/app/tests/test_auth_service.py (2)
4-5: Remove unused imports.Several imports are not used in this test file and should be removed for cleaner code.
-from app.auth.schemas import UserResponse # Assuming this is used or relevant for response assertions -from unittest.mock import patch, AsyncMock, MagicMock # For mocking async methods if needed +from unittest.mock import patch # For mocking async methods if needed
154-211: Consider breaking down this complex test function.This test function has 17 local variables, which exceeds the recommended limit. Consider breaking it into smaller, focused test functions for better readability and maintainability.
@pytest.mark.asyncio async def test_confirm_password_reset_success_setup(auth_service_mocked: AuthService, db): # Setup user and reset token email = "confirm_reset@example.com" old_password = "oldPassword123" new_password = "newPassword456" name = "Confirm Reset User" created_user_data = await auth_service_mocked.create_user_with_email(email, old_password, name) user_id_obj = ObjectId(created_user_data["user"]["_id"]) # Create password reset token reset_token_value = "valid_reset_token_for_confirm" reset_expires = datetime.utcnow() + timedelta(hours=1) await db.password_resets.insert_one({ "user_id": user_id_obj, "token": reset_token_value, "expires_at": reset_expires, "used": False, "created_at": datetime.utcnow() }) # Create refresh tokens await auth_service_mocked._create_refresh_token_record(str(user_id_obj)) await auth_service_mocked._create_refresh_token_record(str(user_id_obj)) return user_id_obj, reset_token_value, email, old_password, new_password @pytest.mark.asyncio async def test_confirm_password_reset_success(auth_service_mocked: AuthService, db): user_id_obj, reset_token_value, email, old_password, new_password = await test_confirm_password_reset_success_setup(auth_service_mocked, db) # Test password reset confirmation result = await auth_service_mocked.confirm_password_reset(reset_token_value, new_password) assert result is True # Verify password was updated and tokens revoked # ... rest of verification logicbackend/app/tests/test_auth_routes.py (2)
3-3: Remove unused import.The
get_databaseimport is not used in this test file and should be removed.-from app.database import get_database # Or use the 'db' fixture directly
247-306: Consider simplifying this complex test function.This test has 18 local variables, exceeding the recommended limit. Consider extracting helper functions or breaking into smaller test cases for better maintainability.
async def create_initial_user_for_google_test(db, email, original_name, original_picture): """Helper function to create initial user for Google login tests.""" initial_user_doc = { "email": email, "name": original_name, "avatar": original_picture, "currency": "USD", "created_at": datetime.utcnow(), "auth_provider": "email", "firebase_uid": None, "hashed_password": "somepasswordhash" } insert_result = await db.users.insert_one(initial_user_doc) return insert_result.inserted_id @pytest.mark.asyncio async def test_login_with_google_existing_user(client: TestClient, db): # Use helper function to reduce complexity user_id_obj = await create_initial_user_for_google_test( db, email, original_name, original_picture ) # ... rest of test logic
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📒 Files selected for processing (4)
backend/app/tests/conftest.py(1 hunks)backend/app/tests/test_auth_routes.py(1 hunks)backend/app/tests/test_auth_service.py(1 hunks)backend/requirements.txt(1 hunks)
🧰 Additional context used
🪛 Ruff (0.11.9)
backend/app/tests/conftest.py
4-4: unittest.mock.patch imported but unused
Remove unused import: unittest.mock.patch
(F401)
10-10: app.database.close_mongo_connection imported but unused
Remove unused import: app.database.close_mongo_connection
(F401)
backend/app/tests/test_auth_routes.py
3-3: app.database.get_database imported but unused
Remove unused import: app.database.get_database
(F401)
backend/app/tests/test_auth_service.py
4-4: app.auth.schemas.UserResponse imported but unused
Remove unused import: app.auth.schemas.UserResponse
(F401)
5-5: unittest.mock.AsyncMock imported but unused
Remove unused import
(F401)
5-5: unittest.mock.MagicMock imported but unused
Remove unused import
(F401)
🪛 Pylint (3.3.7)
backend/app/tests/conftest.py
[error] 8-8: No name 'main' in module 'app'
(E0611)
backend/app/tests/test_auth_routes.py
[refactor] 247-247: Too many local variables (18/15)
(R0914)
backend/app/tests/test_auth_service.py
[refactor] 154-154: Too many local variables (17/15)
(R0914)
🪛 ast-grep (0.38.1)
backend/app/tests/test_auth_routes.py
[warning] 509-513: A secret is hard-coded in the application. Secrets stored in source code, such as credentials, identifiers, and other types of sensitive data, can be leaked and used by internal or external malicious actors. Use environment variables to securely provide credentials and other secrets or retrieve them from a secure vault or Hardware Security Module (HSM).
Context: jwt.encode(
{"sub": user_id_for_bad_token, "exp": datetime.utcnow() + timedelta(minutes=settings.access_token_expire_minutes)},
"a_completely_wrong_secret_key", # Different secret
algorithm=settings.algorithm
)
Note: [CWE-798]: Use of Hard-coded Credentials [OWASP A01:2021]: Identification and Authentication Failures [REFERENCES]
https://cheatsheetseries.owasp.org/cheatsheets/Secrets_Management_Cheat_Sheet.html
(python-pyjwt-hardcoded-secret-python)
[warning] 509-513: Hardcoded JWT secret or private key is used. This is a Insufficiently Protected Credentials weakness: https://cwe.mitre.org/data/definitions/522.html Consider using an appropriate security mechanism to protect the credentials (e.g. keeping secrets in environment variables).
Context: invalid_signed_token = jwt.encode(
{"sub": user_id_for_bad_token, "exp": datetime.utcnow() + timedelta(minutes=settings.access_token_expire_minutes)},
"a_completely_wrong_secret_key", # Different secret
algorithm=settings.algorithm
)
Note: [CWE-522] Insufficiently Protected Credentials. [REFERENCES]
- https://semgrep.dev/blog/2020/hardcoded-secrets-unverified-tokens-and-other-common-jwt-mistakes/
(jwt-python-hardcoded-secret-python)
backend/app/tests/test_auth_service.py
[warning] 367-367: Hardcoded JWT secret or private key is used. This is a Insufficiently Protected Credentials weakness: https://cwe.mitre.org/data/definitions/522.html Consider using an appropriate security mechanism to protect the credentials (e.g. keeping secrets in environment variables).
Context: invalid_token = jwt.encode({"sub": "some_id", "exp": datetime.utcnow() + timedelta(minutes=15)}, "wrongsecret", algorithm=settings.algorithm)
Note: [CWE-522] Insufficiently Protected Credentials. [REFERENCES]
- https://semgrep.dev/blog/2020/hardcoded-secrets-unverified-tokens-and-other-common-jwt-mistakes/
(jwt-python-hardcoded-secret-python)
[warning] 367-367: A secret is hard-coded in the application. Secrets stored in source code, such as credentials, identifiers, and other types of sensitive data, can be leaked and used by internal or external malicious actors. Use environment variables to securely provide credentials and other secrets or retrieve them from a secure vault or Hardware Security Module (HSM).
Context: jwt.encode({"sub": "some_id", "exp": datetime.utcnow() + timedelta(minutes=15)}, "wrongsecret", algorithm=settings.algorithm)
Note: [CWE-798]: Use of Hard-coded Credentials [OWASP A01:2021]: Identification and Authentication Failures [REFERENCES]
https://cheatsheetseries.owasp.org/cheatsheets/Secrets_Management_Cheat_Sheet.html
(python-pyjwt-hardcoded-secret-python)
🔇 Additional comments (8)
backend/app/tests/conftest.py (2)
23-44: Excellent fixture design with proper cleanup.The database fixture implementation is well-designed with proper dependency override, cleanup, and restoration. The function scope ensures test isolation, and the cleanup logic handles both collections and dependency restoration correctly.
8-8: Verify import path for app.main.Static analysis indicates that module 'app' has no name 'main'. Please verify that the import path is correct for your project structure.
#!/bin/bash # Check if app.main module exists and has the app instance fd -t f "main.py" backend/app/ ast-grep --pattern 'app = $_'backend/app/tests/test_auth_service.py (3)
17-41: Excellent comprehensive test for user creation.The test thoroughly validates user creation with proper database verification, password hashing, and refresh token generation. Good use of async/await and database assertions.
367-368: Hardcoded secret is appropriate for testing.The hardcoded JWT secret
"wrongsecret"is intentionally used to test invalid token signatures. This is a valid testing pattern and not a security concern in test code.
538-660: Excellent Google authentication test coverage.The Google authentication tests provide comprehensive coverage including new user creation, existing user updates, invalid tokens, and missing email scenarios. Good use of mocking for Firebase dependencies.
backend/app/tests/test_auth_routes.py (3)
16-48: Excellent route testing pattern.The signup test provides comprehensive validation of the FastAPI endpoint including request/response validation, database persistence verification, and proper use of test fixtures.
509-514: Hardcoded secret is appropriate for testing.The hardcoded JWT secret
"a_completely_wrong_secret_key"is intentionally used to test invalid token signatures. This is a valid testing pattern and not a security concern in test code.
567-573: Comprehensive token verification test coverage.The token verification tests provide excellent coverage of success and failure scenarios, properly testing authentication edge cases with appropriate error handling validation.
This commit finalizes the addition of tests for the authentication service and introduces a GitHub Actions workflow to automate test execution.
Summary of changes:
1. **Testing Environment & Fixtures**:
* `pytest`, `pytest-asyncio`, `mongomock` added to `backend/requirements.txt`.
* Test fixtures for mock DB, AuthService, and TestClient created in `backend/app/tests/conftest.py`.
2. **Unit Tests (`backend/app/tests/test_auth_service.py`)**:
* Comprehensive unit tests written for all methods in `AuthService`, covering various success, error, and edge case scenarios. External dependencies like Firebase are mocked.
3. **Integration Tests (`backend/app/tests/test_auth_routes.py`)**:
* Added integration tests for all authentication-related API endpoints:
* `POST /auth/signup/email`
* `POST /auth/login/email`
* `POST /auth/login/google` (with service-level mocking for Firebase)
* `POST /auth/refresh`
* `POST /auth/token/verify`
* `POST /auth/password/reset/request`
* `POST /auth/password/reset/confirm`
* These tests verify API request/response cycles, database interactions (using mongomock), and error handling.
4. **GitHub Actions Workflow (`.github/workflows/backend-tests.yml`)**:
* A new workflow is added to automatically run backend tests on pushes and pull requests to the `main` branch that affect backend code.
* The workflow sets up Python, installs dependencies, and executes `pytest`.
This enhances the reliability and maintainability of the backend authentication system by providing a solid automated testing foundation.
Updates the backend testing workflow (`.github/workflows/backend-tests.yml`) to explicitly set `PYTHONPATH=.` for the pytest execution step. This ensures that modules within the `backend/app` directory are correctly discovered and imported by pytest during CI runs, addressing the `ModuleNotFoundError: No module named 'app.main'` error previously encountered.
- Created a new test file `test_auth_service.py` with extensive unit tests for the AuthService methods, including user creation, authentication, password reset, and token verification. - Implemented various test cases to cover success scenarios, error handling, and edge cases for user authentication and token management. - Added a `conftest.py` file to set up a mock MongoDB client using mongomock, along with fixtures for database access and AuthService instantiation. - Ensured that the test environment is isolated and cleans up after each test to maintain integrity.
|
| GitGuardian id | GitGuardian status | Secret | Commit | Filename | |
|---|---|---|---|---|---|
| 17978207 | Triggered | Generic Password | b2d7032 | backend/tests/auth/test_auth_service.py | View secret |
🛠 Guidelines to remediate hardcoded secrets
- Understand the implications of revoking this secret by investigating where it is used in your code.
- Replace and store your secret safely. Learn here the best practices.
- Revoke and rotate this secret.
- If possible, rewrite git history. Rewriting git history is not a trivial act. You might completely break other contributing developers' workflow and you risk accidentally deleting legitimate data.
To avoid such incidents in the future consider
- following these best practices for managing and storing secrets including API keys and other credentials
- install secret detection on pre-commit to catch secret before it leaves your machine and ease remediation.
🦉 GitGuardian detects secrets in your source code to help developers and security teams secure the modern development process. You are seeing this because you or someone else with access to this repository has authorized GitGuardian to scan your pull request.
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