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@Bar-7150 Bar-7150 commented Nov 17, 2025

validate_email: This function checks whether the input user email address is valid. If the email is invalid, it returns an error with response code 422.
check_email_exists: This function checks whether the given email already exists in the database.
model_load_error: This error occurs if there is a problem while loading a model.
validate_image_file: This function verifies that the provided file is in the correct format and not corrupted.

Summary by CodeRabbit

  • Chores
    • Added validation for email addresses and image file uploads
    • Implemented centralized error handling with improved error messaging for system failures

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coderabbitai bot commented Nov 17, 2025

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Walkthrough

A new error handling utility module is introduced that centralizes validation and exception management for FastAPI applications, including email validation, image file verification, and custom error handlers. Associated imports are added to main.py.

Changes

Cohort / File(s) Summary
Error Handler Utilities
model-lab/utils/errorHandler.py
New module providing centralized error handling: email validation with regex matching (HTTP 422), email uniqueness check via database query (HTTP 400), image file validation by extension and PIL integrity check (HTTP 400/415), and two async exception handlers for model load errors and unhandled errors (both return HTTP 500 JSON responses). Includes logging integration.
Import Expansion
model-lab/app/main.py
Added five imports from errorHandler: validate_email, check_email_exists, model_load_error, validate_image_file, and UnhandledError. No usage currently visible in this file.

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~10 minutes

  • Attention point: User model is referenced in check_email_exists() but not imported in errorHandler.py—verify import statement is present or will be added.
  • Attention point: Verify that imported functions in main.py are actually wired into FastAPI exception handlers or validation flows; currently no usage is visible.
  • Attention point: Confirm PIL/Pillow dependency is listed in project requirements for image validation.

Poem

🐰 A handler hops in, neat and spry,
Emails validated, images comply!
Errors caught before they fly,
Utility functions standing by—
Clean exceptions, oh my my! 🌟

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)
Check name Status Explanation Resolution
Docstring Coverage ⚠️ Warning Docstring coverage is 0.00% which is insufficient. The required threshold is 80.00%. You can run @coderabbitai generate docstrings to improve docstring coverage.
✅ Passed checks (2 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The title 'Add Simple error handler' accurately describes the main change: introducing a new error handling module with validation and error handler utilities.
✨ Finishing touches
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🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Post copyable unit tests in a comment

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Actionable comments posted: 4

🧹 Nitpick comments (2)
model-lab/utils/errorHandler.py (2)

12-13: Consider using a more specific logger configuration approach.

The logging.basicConfig() call affects the root logger globally, which can interfere with other modules' logging configurations. Consider configuring only the module-specific logger instead.

Apply this diff to improve logger configuration:

 logger = logging.getLogger(__name__)
-logging.basicConfig(level=logging.INFO, format="%(levelname)s-%(message)s")
+logger.setLevel(logging.INFO)
+if not logger.handlers:
+    handler = logging.StreamHandler()
+    handler.setFormatter(logging.Formatter("%(levelname)s-%(message)s"))
+    logger.addHandler(handler)

15-21: Improve email validation and error message.

The email regex is overly simplistic and the error message is unprofessional. The current pattern may reject valid emails (e.g., with plus signs or multiple dots) and accept some invalid ones.

Apply this diff to improve validation:

 def validate_email(email: str):
-    email_regex = r'^[\w\.-]+@[\w\.-]+\.\w+$'
+    email_regex = r'^[a-zA-Z0-9._%+-]+@[a-zA-Z0-9.-]+\.[a-zA-Z]{2,}$'
     if not re.match(email_regex, email):
         raise HTTPException(
         status_code=status.HTTP_422_UNPROCESSABLE_ENTITY,
-        detail="write your email correctly"
+        detail="Invalid email format. Please provide a valid email address."
     )
📜 Review details

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between bc82449 and 231a270.

📒 Files selected for processing (2)
  • model-lab/app/main.py (1 hunks)
  • model-lab/utils/errorHandler.py (1 hunks)
🧰 Additional context used
🧬 Code graph analysis (1)
model-lab/app/main.py (1)
model-lab/utils/errorHandler.py (5)
  • validate_email (15-21)
  • check_email_exists (23-29)
  • model_load_error (32-38)
  • validate_image_file (40-55)
  • UnhandledError (57-63)
🪛 Ruff (0.14.5)
model-lab/utils/errorHandler.py

24-24: Undefined name User

(F821)


24-24: Undefined name User

(F821)


51-51: Consider moving this statement to an else block

(TRY300)


54-54: Use logging.exception instead of logging.error

Replace with exception

(TRY400)


55-55: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling

(B904)

🔇 Additional comments (1)
model-lab/utils/errorHandler.py (1)

32-38: LGTM! Consider registering as FastAPI exception handler.

The error handler correctly logs the error and returns an appropriate 500 response. If this is intended to be used as a FastAPI exception handler, ensure it's registered in main.py using @app.exception_handler().

Verify that this handler is properly registered in main.py or document how it should be used.

from dotenv import load_dotenv
load_dotenv()

from utils.errorHandler import validate_email,check_email_exists,model_load_error,validate_image_file,UnhandledError
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⚠️ Potential issue | 🟡 Minor

🧩 Analysis chain

Verify usage of imported error handlers and consider refactoring existing validation.

The error handlers are imported but not used in the provided code. Additionally, the /predict endpoint (lines 30-36) already has image validation logic that could be replaced with the new validate_image_file function to avoid duplication.

  1. Verify that these imports are actually used elsewhere in the codebase or will be used in upcoming changes.
  2. Consider refactoring the existing validation in the /predict endpoint to use validate_image_file for consistency.

Run the following script to check if the imported functions are used:


🏁 Script executed:

#!/bin/bash
# Description: Check usage of the imported error handling functions

echo "Checking for validate_email usage:"
rg -n "validate_email\s*\(" --type=py

echo -e "\nChecking for check_email_exists usage:"
rg -n "check_email_exists\s*\(" --type=py

echo -e "\nChecking for model_load_error usage:"
rg -n "model_load_error" --type=py

echo -e "\nChecking for validate_image_file usage:"
rg -n "validate_image_file\s*\(" --type=py

echo -e "\nChecking for UnhandledError usage:"
rg -n "UnhandledError" --type=py

Length of output: 900



This script requires no cloning since it's just examining the provided context.

Wait, I realize I need to access the repository. Let me adjust:

---

🏁 Script executed:

```shell
#!/bin/bash
# View main.py to see actual usage of imported functions
echo "Content of model-lab/app/main.py:"
cat model-lab/app/main.py

Length of output: 1532


🏁 Script executed:

#!/bin/bash
# Check main.py for exception handler registrations and function usage
echo "=== Viewing main.py ==="
if [ -f model-lab/app/main.py ]; then
  cat model-lab/app/main.py
else
  echo "File not found at model-lab/app/main.py"
  echo "Looking for main.py files:"
  find . -name "main.py" -type f 2>/dev/null | head -20
fi

echo -e "\n=== Searching for app.add_exception_handler calls ==="
rg -n "add_exception_handler" --type=py

echo -e "\n=== Searching for @app.exception_handler decorators ==="
rg -n "@.*exception_handler" --type=py

Length of output: 1633


Remove unused imports from line 11.

The verification confirms that none of the imported functions are used in main.py: validate_email, check_email_exists, model_load_error, validate_image_file, and UnhandledError all appear only in the import statement with no subsequent calls or registrations. Additionally, the /predict endpoint uses inline HTTPException for image validation instead of the validate_image_file function, creating unnecessary duplication.

Remove the unused import statement on line 11.

🤖 Prompt for AI Agents
In model-lab/app/main.py at line 11, the import statement "from
utils.errorHandler import
validate_email,check_email_exists,model_load_error,validate_image_file,UnhandledError"
brings in functions/classes that are not used anywhere in the file; remove that
entire unused import line to eliminate dead code and duplication (the /predict
endpoint already does its own image validation using HTTPException). Ensure no
other references to those names remain in the file before committing.

Comment on lines +23 to +29
def check_email_exists(email: str, db: Session):
existing_user = db.query(User).filter(User.email == email).first()
if existing_user:
raise HTTPException(
status_code=status.HTTP_400_BAD_REQUEST,
detail="Email address already exists."
)
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⚠️ Potential issue | 🔴 Critical

🧩 Analysis chain

Critical: Missing User model import.

The User model is referenced but not imported, which will cause a NameError at runtime. You need to import the User model from your database models module.

Add the import at the top of the file. For example:

from app.models import User  # Adjust the import path based on your project structure

Please verify the correct import path for the User model in your project and add it to the imports section.

Run the following script to locate the User model definition:


🏁 Script executed:

#!/bin/bash
# Description: Find the User model definition to determine the correct import path

ast-grep --pattern $'class User($$$):
  $$$'

Length of output: 0


🏁 Script executed:

#!/bin/bash
# Check actual imports and User references in errorHandler.py

echo "=== Checking imports in errorHandler.py ==="
rg -n -B5 -A10 "def check_email_exists" model-lab/utils/errorHandler.py || echo "File or pattern not found"

echo -e "\n=== Checking all imports at top of errorHandler.py ==="
head -50 model-lab/utils/errorHandler.py || echo "File not found"

echo -e "\n=== Searching for User model definition (broader patterns) ==="
rg -n "class User" --type py || echo "No class User found"

echo -e "\n=== Searching for User imports ==="
rg -n "from.*User|import.*User" --type py -C2 || echo "No User imports found"

echo -e "\n=== Checking if User is defined in __init__.py or models ==="
find . -name "models.py" -o -name "__init__.py" | head -20

Length of output: 2493


Critical: Missing User model import.

The User model is referenced on line 24 but not imported, which will cause a NameError at runtime.

Add the import at the top of the file:

from app.models import User  # Adjust the import path based on your project structure

Verify the correct import path for the User model in your project and update accordingly.

🧰 Tools
🪛 Ruff (0.14.5)

24-24: Undefined name User

(F821)


24-24: Undefined name User

(F821)

🤖 Prompt for AI Agents
In model-lab/utils/errorHandler.py around lines 23 to 29, the function
references the User model but it is not imported which will raise a NameError;
add an import for the User model at the top of the file (for example: from
app.models import User) or adjust the module path to match your project
structure, then run tests or lint to confirm the import resolves correctly.

Comment on lines +40 to +55
def validate_image_file(file: UploadFile) -> Image.Image:
try:

if not file.filename.lower().endswith(('.png', '.jpg', '.jpeg')):
raise HTTPException(status_code=415, detail="Unsupported image format.")


image_bytes = file.file.read()
image = Image.open(io.BytesIO(image_bytes))
image.verify()
image = Image.open(io.BytesIO(image_bytes))
return image

except UnidentifiedImageError:
logger.error(f"Corrupt or unreadable image file: {file.filename}")
raise HTTPException(status_code=400, detail="Uploaded image is corrupt or unreadable.")
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⚠️ Potential issue | 🟠 Major

Fix file pointer handling and improve exception handling.

The function has several issues:

  1. After reading file.file.read(), the file pointer is not reset, which will cause issues if the file is used elsewhere in the request handler.
  2. The exception handler should use logging.exception() to include traceback information.
  3. The re-raised exception should use from None to avoid showing the internal exception chain to users.

Apply this diff to fix these issues:

 def validate_image_file(file: UploadFile) -> Image.Image:
     try:
         
         if not file.filename.lower().endswith(('.png', '.jpg', '.jpeg')):
             raise HTTPException(status_code=415, detail="Unsupported image format.")
 
        
         image_bytes = file.file.read()                                        
+        file.file.seek(0)  # Reset file pointer for potential reuse
         image = Image.open(io.BytesIO(image_bytes))
         image.verify()
         image = Image.open(io.BytesIO(image_bytes))
         return image
 
     except UnidentifiedImageError:
-        logger.error(f"Corrupt or unreadable image file: {file.filename}")
-        raise HTTPException(status_code=400, detail="Uploaded image is corrupt or unreadable.")
+        logger.exception(f"Corrupt or unreadable image file: {file.filename}")
+        raise HTTPException(status_code=400, detail="Uploaded image is corrupt or unreadable.") from None
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
def validate_image_file(file: UploadFile) -> Image.Image:
try:
if not file.filename.lower().endswith(('.png', '.jpg', '.jpeg')):
raise HTTPException(status_code=415, detail="Unsupported image format.")
image_bytes = file.file.read()
image = Image.open(io.BytesIO(image_bytes))
image.verify()
image = Image.open(io.BytesIO(image_bytes))
return image
except UnidentifiedImageError:
logger.error(f"Corrupt or unreadable image file: {file.filename}")
raise HTTPException(status_code=400, detail="Uploaded image is corrupt or unreadable.")
def validate_image_file(file: UploadFile) -> Image.Image:
try:
if not file.filename.lower().endswith(('.png', '.jpg', '.jpeg')):
raise HTTPException(status_code=415, detail="Unsupported image format.")
image_bytes = file.file.read()
file.file.seek(0) # Reset file pointer for potential reuse
image = Image.open(io.BytesIO(image_bytes))
image.verify()
image = Image.open(io.BytesIO(image_bytes))
return image
except UnidentifiedImageError:
logger.exception(f"Corrupt or unreadable image file: {file.filename}")
raise HTTPException(status_code=400, detail="Uploaded image is corrupt or unreadable.") from None
🧰 Tools
🪛 Ruff (0.14.5)

51-51: Consider moving this statement to an else block

(TRY300)


54-54: Use logging.exception instead of logging.error

Replace with exception

(TRY400)


55-55: Within an except clause, raise exceptions with raise ... from err or raise ... from None to distinguish them from errors in exception handling

(B904)

🤖 Prompt for AI Agents
In model-lab/utils/errorHandler.py around lines 40 to 55, after reading
file.file.read() reset the uploaded file pointer with file.file.seek(0) so
downstream handlers can re-read it; change the exception handler to use
logger.exception(...) so the traceback is recorded, and re-raise the
HTTPException using "raise HTTPException(... ) from None" to suppress internal
exception chaining; keep the UnidentifiedImageError catch but capture the
exception object (e) for logging.exception and construct the same 400 response.

Comment on lines +57 to +63
async def UnhandledError(req:Request,excp:Exception ):
err_msg=f'Unhandled error for request {req.url}:{excp}'
logging.error(err_msg)
return JSONResponse(
status_code=500,
content={"detail":"An Internal server error,please try again after some time"}
)
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⚠️ Potential issue | 🟡 Minor

Fix naming convention and logging inconsistency.

The function has two issues:

  1. UnhandledError uses PascalCase, which is unconventional for Python functions (should be unhandled_error).
  2. It uses logging.error() directly instead of the module-specific logger.error(), which is inconsistent with model_load_error.

Apply this diff to fix these issues:

-async def UnhandledError(req:Request,excp:Exception ):
+async def unhandled_error(req: Request, excp: Exception):
     err_msg=f'Unhandled error for request {req.url}:{excp}'
-    logging.error(err_msg)
+    logger.error(err_msg)
     return JSONResponse(
         status_code=500,
         content={"detail":"An Internal server error,please try again after some time"}
     )

Note: If you rename this function, remember to update the import in main.py.

Committable suggestion skipped: line range outside the PR's diff.

🤖 Prompt for AI Agents
In model-lab/utils/errorHandler.py around lines 57 to 63, rename the function
from UnhandledError to unhandled_error to follow Python snake_case conventions
and replace the direct logging.error call with the module logger (logger.error)
to match the other handler; update the function signature and internal err_msg
usage accordingly, and then update any imports/usages (e.g., in main.py) to
reference the new name.

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