Fix: Robust DB connection and docstring coverage #250
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WalkthroughThis PR adds defensive error handling to database initialization, prevents app crashes on invalid credentials or unreachable databases, and enhances code documentation. It introduces runtime guards in engine creation and table setup, removes redundant SSL configuration, and extends docstrings across core database and service modules. Changes
Estimated code review effort🎯 3 (Moderate) | ⏱️ ~20 minutes
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Pre-merge checks and finishing touches✅ Passed checks (3 passed)
✨ Finishing touches
🧪 Generate unit tests (beta)
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⚠️ Outside diff range comments (3)
Backend/app/services/db_service.py (3)
8-10: Add defensive error handling for Supabase client initialization.The PR introduces robust error handling for SQLAlchemy connections in
Backend/app/db/db.py, but the Supabase client initialization here lacks similar protection. IfSUPABASE_URLorSUPABASE_KEYare missing or invalid, this will crash on module import.🔎 Proposed fix to add error handling
# Load environment variables load_dotenv() -url: str = os.getenv("SUPABASE_URL") -key: str = os.getenv("SUPABASE_KEY") -supabase: Client = create_client(url, key) + +try: + url: str = os.getenv("SUPABASE_URL") + key: str = os.getenv("SUPABASE_KEY") + if not url or not key: + raise ValueError("SUPABASE_URL and SUPABASE_KEY must be set") + supabase: Client = create_client(url, key) + print("✅ Supabase client connected successfully!") +except Exception as e: + print(f"❌ Error connecting to Supabase: {e}") + supabase = None
29-62: Add error handling for Supabase operations.The function makes multiple Supabase API calls (lines 29, 35) without error handling. Network issues, authentication failures, or API errors could cause unhandled exceptions. This is inconsistent with the defensive approach taken in
Backend/app/db/db.py.🔎 Suggested error handling pattern
def match_creators_for_brand(sponsorship_id: str) -> List[Dict[str, Any]]: """ Finds creator matches for a given brand sponsorship. Analyzes audience insights for all creators and calculates a match score based on the sponsorship's requirements (age, location, engagement rate, budget). Args: sponsorship_id (str): The unique identifier of the sponsorship. Returns: List[Dict[str, Any]]: A list of matching creators, including their match details. Returns an empty list if the sponsorship is not found or no suitable creators are found. """ + if supabase is None: + print("⚠️ Supabase client not initialized") + return [] + + try: - # Fetch sponsorship details - sponsorship_resp = supabase.table("sponsorships").select("*").eq("id", sponsorship_id).execute() + # Fetch sponsorship details + sponsorship_resp = supabase.table("sponsorships").select("*").eq("id", sponsorship_id).execute() + except Exception as e: + print(f"❌ Error fetching sponsorship: {e}") + return [] + if not sponsorship_resp.data: return [] sponsorship = sponsorship_resp.data[0] + try: - # Fetch all audience insights (for creators) - audience_resp = supabase.table("audience_insights").select("*").execute() + # Fetch all audience insights (for creators) + audience_resp = supabase.table("audience_insights").select("*").execute() + except Exception as e: + print(f"❌ Error fetching audience insights: {e}") + return [] + creators = [] # ... rest of the logic
81-113: Add error handling for Supabase operations.Similar to
match_creators_for_brand, this function makes Supabase API calls (lines 81, 87) without error handling. Apply the same defensive pattern to handle cases where the Supabase client is unavailable or API calls fail.
🧹 Nitpick comments (3)
Backend/app/main.py (1)
85-96: Remove unnecessary error handling.The docstring is well-written, but the try-except block (lines 93-96) is unnecessary. A simple dictionary return statement cannot raise exceptions, making this error handling redundant and adding cognitive overhead.
🔎 Simplified implementation
@app.get("/") async def home(): """ Root endpoint for the API. Returns: dict: A welcome message. """ - try: - return {"message": "Welcome to Inpact API!"} - except Exception as e: - return {"error": f"Unexpected error: {e}"} + return {"message": "Welcome to Inpact API!"}Backend/app/db/db.py (2)
21-42: Defensive initialization pattern is sound, but clarify IPv6 comment.The try-except pattern properly handles connection failures and sets components to None for downstream checks (lines 29-31, 40-42). This aligns well with the guards added in
Backend/app/main.py.However, the comment about IPv6 issues (lines 22-23) is vague. If there are known IPv6 connection issues with Supabase, please document the specific problem and any workarounds. Otherwise, consider removing this comment to avoid confusion.
🔎 Suggested comment improvement
If no specific IPv6 issue is known:
- # Supabase (and some other cloud providers) may have issues with IPv6. - # We can try to force parameters or handle connection logic robustly. # For now, we wrap the engine creation in a try-except block to prevent # the entire app from crashing if credentials are wrong or DB is unreachable.Or if there's a specific issue, document it:
- # Supabase (and some other cloud providers) may have issues with IPv6. - # We can try to force parameters or handle connection logic robustly. + # Note: If you encounter "Cannot connect to host" errors, verify your host + # address format. Some cloud providers require explicit IPv4 notation. # For now, we wrap the engine creation in a try-except block to prevent # the entire app from crashing if credentials are wrong or DB is unreachable.
45-59: Runtime check prevents silent failures.The docstring is clear, and the runtime check (lines 55-56) appropriately prevents database operations when the engine failed to initialize. This ensures fast-fail behavior with a helpful error message.
The static analysis tool flags the exception message length (TRY003), but in this case, the inline message is clear and contextual. If you prefer to follow this linting rule strictly, you could create a custom exception class, but it's optional for this scenario.
🔎 Optional: Address static analysis hint
+class DatabaseNotInitializedError(RuntimeError): + """Raised when database operations are attempted without a valid engine.""" + def __init__(self): + super().__init__("Database engine is not initialized. Check your connection settings.") + async def get_db(): """ Dependency generator for database sessions. Yields: AsyncSession: An asynchronous database session. Raises: - RuntimeError: If the database engine is not initialized. + DatabaseNotInitializedError: If the database engine is not initialized. """ if AsyncSessionLocal is None: - raise RuntimeError("Database engine is not initialized. Check your connection settings.") + raise DatabaseNotInitializedError() async with AsyncSessionLocal() as session: yield session
📜 Review details
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📒 Files selected for processing (3)
Backend/app/db/db.pyBackend/app/main.pyBackend/app/services/db_service.py
🧰 Additional context used
🧬 Code graph analysis (1)
Backend/app/main.py (1)
Backend/app/db/seed.py (1)
seed_db(6-57)
🪛 Ruff (0.14.8)
Backend/app/db/db.py
56-56: Avoid specifying long messages outside the exception class
(TRY003)
🔇 Additional comments (4)
Backend/app/services/db_service.py (2)
14-27: Excellent documentation added.The docstring is comprehensive, well-structured, and accurately describes the function's purpose, parameters, return value, and edge-case behavior.
66-79: Excellent documentation added.The docstring is comprehensive, well-structured, and accurately describes the function's purpose, parameters, return value, and edge-case behavior.
Backend/app/main.py (2)
21-40: Excellent defensive programming for table creation.The function properly guards against an uninitialized database engine (lines 29-31) and handles SQLAlchemyError exceptions gracefully. The docstring clearly describes the behavior, and the implementation aligns well with the defensive error handling introduced in
Backend/app/db/db.py.
44-62: Well-coordinated startup lifecycle management.The lifespan function properly coordinates table creation and data seeding with appropriate guards for engine availability (lines 57-60). The docstring clearly describes the startup behavior, and the implementation ensures the app can start even if database initialization fails.
1 participant
Closes #228
📝 Description
This PR resolves Issue #228 ("Server connection error") and addresses the "Docstring Coverage" failures identified in previous checks.
The main issue was that the backend server would crash immediately upon startup if the database connection failed (common with Supabase due to IPv6/SSL issues). This PR implements a more robust connection strategy and ensures the server starts gracefully even if the robust database connection isn't immediately established.
🔧 Changes Made
create_async_engineinitialization in atry-exceptblock. This prevents the application from crashing if the database is unreachable or credentials are incorrect.engineis successfully initialized before attempting to create tables or seed data.✅ Checklist