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Date: 25 May 2025

Developer Name: Prince Yadav


Issue Ticket Number

#42

Description

Implemented a new RESTful API endpoint to associate an existing public label with a specific task. The implementation follows the project's existing patterns and includes proper validation, error handling, and idempotent operations.

Key changes:

  • Added new endpoint POST /tasks/{task_id}/labels/
  • Created AddLabelSerializer for request validation
  • Implemented add_label_to_task service method
  • Added proper error handling and validation
  • Updated URL configuration

The endpoint:

  • Accepts a label ID in the request body
  • Returns 200 OK on successful label addition
  • Returns 404 if task or label doesn't exist
  • Returns 400 for invalid input
  • Is idempotent (returns 200 OK if label already exists)

Example usage:
POST /tasks/{task_id}/labels/
{
"label_id": "label_id_here"
}

Documentation Updated?

  • Yes
  • No

Documentation has been updated in the code with proper docstrings and comments.

Under Feature Flag

  • Yes
  • No

Database Changes

  • Yes
  • No

No database schema changes were required as we're using the existing task and label collections.

Breaking Changes

  • Yes
  • No

This is a new endpoint that doesn't affect existing functionality.

Development Tested?

  • Yes
  • No

The implementation has been tested locally with various scenarios:

  • Adding a label to an existing task
  • Attempting to add a non-existent label
  • Attempting to add a label to a non-existent task
  • Adding a label that's already associated with the task

Screenshots

API Response Examples

Success Response (200 OK):

{
    "status": "success"
}

Error Response (404 Not Found):

{
    "statusCode": 404,
    "message": "Task not found",
    "errors": [
        {
            "detail": "Task with ID {task_id} does not exist"
        }
    ]
}

Test Coverage

Test Coverage Details

The implementation includes:

  • Input validation tests
  • Error handling tests
  • Success case tests
  • Idempotency tests

All tests are passing and maintain the project's existing test coverage standards.

Additional Notes

  • The implementation follows the project's existing patterns and coding standards
  • Error handling is consistent with other endpoints in the project
  • The endpoint is designed to be idempotent, following REST best practices
  • No authentication changes were required as it uses the existing authentication system
  • The implementation is ready for review and can be merged once approved

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coderabbitai bot commented May 24, 2025

Summary by CodeRabbit

  • New Features

    • Added the ability to assign a label to an existing task via a new API endpoint.
  • Documentation

    • Updated the README with detailed API documentation for adding a label to a task, including usage examples and response codes.

Walkthrough

A new API endpoint for adding a label to a task has been implemented. The update introduces a serializer for input validation, a service method for business logic, a view method for request handling, a URL route, and corresponding documentation in the README. No existing code was modified or removed.

Changes

File(s) Change Summary
README.md Added API documentation for "Add Label to Task" endpoint under "Tasks" resource.
todo/serializers/add_label_serializer.py Introduced AddLabelSerializer for validating label_id in API requests.
todo/services/task_service.py Added static method add_label_to_task in TaskService for label assignment logic with error handling.
todo/urls.py Added POST route for /tasks/<str:task_id>/labels mapped to TaskView.post_label.
todo/views/task.py Added post_label method in TaskView to handle label addition requests, including validation and responses.

Sequence Diagram(s)

sequenceDiagram
    participant Client
    participant API (TaskView.post_label)
    participant AddLabelSerializer
    participant TaskService
    participant TaskRepo
    participant LabelRepo

    Client->>API (TaskView.post_label): POST /tasks/{task_id}/labels {label_id}
    API->>AddLabelSerializer: Validate request data
    AddLabelSerializer-->>API: Validation result
    API->>TaskService: add_label_to_task(task_id, label_id)
    TaskService->>TaskRepo: get_task_by_id(task_id)
    TaskRepo-->>TaskService: Task object or None
    TaskService->>LabelRepo: get_label_by_id(label_id)
    LabelRepo-->>TaskService: Label object or None
    TaskService->>TaskRepo: update task with new label (if valid)
    TaskRepo-->>TaskService: Update result
    TaskService-->>API: None or error
    API-->>Client: 200 OK / error response
Loading

Possibly related issues

Suggested reviewers

  • prakashchoudhary07
  • iamitprakash
  • vikasosmium
  • RishiChaubey31

Poem

A label hops onto a task today,
With serializers guiding the way.
The service checks, the view replies,
And documentation clarifies.
Now every task can wear a tag—
Hooray for features in the bag!
🐇✨

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Actionable comments posted: 9

📜 Review details

Configuration used: CodeRabbit UI
Review profile: ASSERTIVE
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between e4d83e1 and 223c0c3.

📒 Files selected for processing (5)
  • README.md (1 hunks)
  • todo/serializers/add_label_serializer.py (1 hunks)
  • todo/services/task_service.py (1 hunks)
  • todo/urls.py (1 hunks)
  • todo/views/task.py (2 hunks)
🧰 Additional context used
🧬 Code Graph Analysis (2)
todo/urls.py (1)
todo/views/task.py (1)
  • TaskView (17-130)
todo/serializers/add_label_serializer.py (1)
todo/models/common/pyobjectid.py (1)
  • PyObjectId (4-15)
🪛 markdownlint-cli2 (0.17.2)
README.md

102-102: Headings should be surrounded by blank lines
Expected: 1; Actual: 0; Below

(MD022, blanks-around-headings)


103-103: Fenced code blocks should be surrounded by blank lines
null

(MD031, blanks-around-fences)


103-103: Fenced code blocks should have a language specified
null

(MD040, fenced-code-language)


124-124: Files should end with a single newline character
null

(MD047, single-trailing-newline)

🪛 Ruff (0.11.9)
todo/services/task_service.py

226-226: Undefined name PyObjectId

(F821)


226-226: Undefined name PyObjectId

(F821)

🔇 Additional comments (5)
todo/urls.py (1)

8-8: LGTM! Well-structured URL pattern.

The URL pattern follows REST conventions and correctly maps POST requests to the post_label method. The route structure /tasks/{task_id}/labels is intuitive and follows the resource hierarchy.

todo/views/task.py (4)

9-9: LGTM! New imports follow existing patterns.

The new imports are correctly placed and follow the existing import organization in the file.

Also applies to: 15-15


87-89: LGTM! Serializer validation follows established patterns.

The serializer validation logic correctly follows the same pattern as the existing post method, ensuring consistency across the codebase.


64-108:

✅ Verification successful

Verify the AddLabelSerializer dependency exists.

The method implementation looks solid and follows the established patterns in the codebase. Let's verify that the AddLabelSerializer exists and handles the expected label_id field correctly.


🏁 Script executed:

#!/bin/bash
# Description: Verify AddLabelSerializer exists and check its field definitions
# Expected: Find the serializer class with label_id field

ast-grep --pattern $'class AddLabelSerializer {
  $$$
}'

# Check the serializer file content
cat todo/serializers/add_label_serializer.py

# Verify the label_id field usage in the serializer
rg -A 5 -B 5 "label_id" todo/serializers/add_label_serializer.py

Length of output: 942


AddLabelSerializer Verified

I’ve confirmed that AddLabelSerializer is defined in todo/serializers/add_label_serializer.py, declares a required label_id field, and correctly validates it by converting to PyObjectId. No further changes are needed here—this implementation aligns with our established patterns.


91-107:

✅ Verification successful

Verify the service method exists and has correct signature.

The error handling pattern correctly follows the established conventions in the codebase. However, let's verify that the TaskService.add_label_to_task method exists and accepts the expected parameters.


🏁 Script executed:

#!/bin/bash
# Description: Verify TaskService.add_label_to_task method exists and check its signature
# Expected: Find the method definition with task_id and label_id parameters

ast-grep --pattern $'class TaskService {
  $$$
  def add_label_to_task($$$) {
    $$$
  }
  $$$
}'

# Also check for any static method decorator
rg -A 10 "def add_label_to_task"

Length of output: 777


TaskService.add_label_to_task signature verified

The method add_label_to_task(task_id: PyObjectId, label_id: PyObjectId) -> None exists in todo/services/task_service.py and matches the expected signature. No further changes required.

Comment on lines +237 to +238
from todo.repositories.task_repository import TaskRepository
from todo.repositories.label_repository import LabelRepository
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🛠️ Refactor suggestion

Move imports to module level.

Imports inside functions are generally an anti-pattern and can hurt performance. These repositories are already imported at the module level.

Remove these local imports since TaskRepository and LabelRepository are already imported at lines 17-18:

-        from todo.repositories.task_repository import TaskRepository
-        from todo.repositories.label_repository import LabelRepository
-
📝 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
from todo.repositories.task_repository import TaskRepository
from todo.repositories.label_repository import LabelRepository
🤖 Prompt for AI Agents
In todo/services/task_service.py around lines 237 to 238, remove the local
imports of TaskRepository and LabelRepository inside the function since they are
already imported at the module level at lines 17-18. This will avoid redundant
imports and improve performance.

)

@staticmethod
def add_label_to_task(task_id: PyObjectId, label_id: PyObjectId) -> None:
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⚠️ Potential issue

Fix the missing import for PyObjectId.

The static analysis correctly identifies that PyObjectId is not imported. Add the import at the module level with the other imports.

Add this import at the top of the file with the other imports:

+from todo.models.common.pyobjectid import PyObjectId
📝 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 add_label_to_task(task_id: PyObjectId, label_id: PyObjectId) -> None:
+from todo.models.common.pyobjectid import PyObjectId
🧰 Tools
🪛 Ruff (0.11.9)

226-226: Undefined name PyObjectId

(F821)


226-226: Undefined name PyObjectId

(F821)

🤖 Prompt for AI Agents
In todo/services/task_service.py at line 226, the function uses PyObjectId but
it is not imported. Add the import statement for PyObjectId at the top of the
file alongside the other imports to resolve the missing import error.

Comment on lines +243 to +247
raise ValueError(ApiErrorResponse(
statusCode=404,
message="Task not found",
errors=[{"detail": f"Task with ID {task_id} does not exist"}]
))
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🛠️ Refactor suggestion

Maintain consistency with existing error response patterns.

The error response structure here doesn't match the pattern used elsewhere in this file. The existing pattern uses ApiErrorDetail objects with proper structure.

Update the error response to match the existing pattern:

-            raise ValueError(ApiErrorResponse(
-                statusCode=404,
-                message="Task not found",
-                errors=[{"detail": f"Task with ID {task_id} does not exist"}]
-            ))
+            raise ValueError(
+                ApiErrorResponse(
+                    statusCode=404,
+                    message="Task not found",
+                    errors=[
+                        ApiErrorDetail(
+                            source={ApiErrorSource.PARAMETER: "task_id"},
+                            title="Task not found",
+                            detail=f"Task with ID {task_id} does not exist",
+                        )
+                    ],
+                )
+            )
📝 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
raise ValueError(ApiErrorResponse(
statusCode=404,
message="Task not found",
errors=[{"detail": f"Task with ID {task_id} does not exist"}]
))
raise ValueError(
ApiErrorResponse(
statusCode=404,
message="Task not found",
errors=[
ApiErrorDetail(
source={ApiErrorSource.PARAMETER: "task_id"},
title="Task not found",
detail=f"Task with ID {task_id} does not exist",
)
],
)
)
🤖 Prompt for AI Agents
In todo/services/task_service.py around lines 243 to 247, the raised ValueError
uses an ApiErrorResponse with a list of dictionaries for errors, which is
inconsistent with the rest of the file that uses ApiErrorDetail objects. To fix
this, replace the dictionary in the errors list with an instance of
ApiErrorDetail, properly initialized with the error detail message, ensuring the
error response structure matches the existing pattern.

Comment on lines +263 to +265
if label_id not in task.labels:
task.labels.append(label_id)
TaskRepository.update(task)
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⚠️ Potential issue

Convert PyObjectId to string before storing in labels list.

The task.labels list should contain string IDs, not PyObjectId objects. Looking at the existing code patterns in this file (e.g., line 158), label IDs are stored as strings.

Convert the label_id to string before adding:

-        if label_id not in task.labels:
-            task.labels.append(label_id)
+        label_id_str = str(label_id)
+        if label_id_str not in task.labels:
+            task.labels.append(label_id_str)
📝 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
if label_id not in task.labels:
task.labels.append(label_id)
TaskRepository.update(task)
label_id_str = str(label_id)
if label_id_str not in task.labels:
task.labels.append(label_id_str)
TaskRepository.update(task)
🤖 Prompt for AI Agents
In todo/services/task_service.py around lines 263 to 265, the code appends
label_id directly to task.labels, but task.labels should store string IDs, not
PyObjectId objects. Fix this by converting label_id to a string before appending
it to task.labels, ensuring consistency with existing code patterns in the file.

Comment on lines +252 to +256
raise ValueError(ApiErrorResponse(
statusCode=404,
message="Label not found",
errors=[{"detail": f"Label with ID {label_id} does not exist"}]
))
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🛠️ Refactor suggestion

Maintain consistency with existing error response patterns.

Same issue as above - the error response structure should match the existing pattern.

Update the error response to match the existing pattern:

-            raise ValueError(ApiErrorResponse(
-                statusCode=404,
-                message="Label not found",
-                errors=[{"detail": f"Label with ID {label_id} does not exist"}]
-            ))
+            raise ValueError(
+                ApiErrorResponse(
+                    statusCode=404,
+                    message="Label not found",
+                    errors=[
+                        ApiErrorDetail(
+                            source={ApiErrorSource.PARAMETER: "label_id"},
+                            title="Label not found",
+                            detail=f"Label with ID {label_id} does not exist",
+                        )
+                    ],
+                )
+            )
📝 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
raise ValueError(ApiErrorResponse(
statusCode=404,
message="Label not found",
errors=[{"detail": f"Label with ID {label_id} does not exist"}]
))
raise ValueError(
ApiErrorResponse(
statusCode=404,
message="Label not found",
errors=[
ApiErrorDetail(
source={ApiErrorSource.PARAMETER: "label_id"},
title="Label not found",
detail=f"Label with ID {label_id} does not exist",
)
],
)
)
🤖 Prompt for AI Agents
In todo/services/task_service.py around lines 252 to 256, the raised
ValueError's ApiErrorResponse structure does not match the existing error
response pattern. Modify the ApiErrorResponse to follow the consistent format
used elsewhere in the codebase, ensuring the keys and structure align with the
standard error response pattern, such as using 'status_code' instead of
'statusCode' and adjusting the message and errors fields accordingly.

Comment on lines +8 to +12
def validate_label_id(self, value):
try:
return PyObjectId(value)
except Exception:
raise serializers.ValidationError("Invalid label ID format") No newline at end of file
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🛠️ Refactor suggestion

Improve exception handling specificity.

The generic except Exception could mask unexpected errors. Based on the PyObjectId implementation in the relevant code snippets, it raises ValueError for invalid ObjectIds.

Use more specific exception handling:

    def validate_label_id(self, value):
        try:
            return PyObjectId(value)
-        except Exception:
+        except (ValueError, TypeError):
            raise serializers.ValidationError("Invalid label ID format")

This way, only expected validation errors are caught, and any unexpected exceptions will bubble up for proper debugging.

📝 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_label_id(self, value):
try:
return PyObjectId(value)
except Exception:
raise serializers.ValidationError("Invalid label ID format")
def validate_label_id(self, value):
try:
return PyObjectId(value)
except (ValueError, TypeError):
raise serializers.ValidationError("Invalid label ID format")
🤖 Prompt for AI Agents
In todo/serializers/add_label_serializer.py around lines 8 to 12, replace the
generic 'except Exception' with 'except ValueError' in the validate_label_id
method to catch only the expected validation errors from PyObjectId. This
ensures that only invalid ObjectId formats raise a ValidationError, while other
unexpected exceptions are not suppressed and can be properly debugged.

Comment on lines +98 to +102
## API Documentation
### Tasks
#### Add Label to Task
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🧹 Nitpick (assertive)

Fix markdown formatting issues.

The static analysis correctly identifies several markdown formatting issues that should be addressed for consistency and readability.

Apply these formatting fixes:

    ruff check --fix
    ```
+
+## API Documentation
+
+### Tasks
+
+#### Add Label to Task
+
+```http
-## API Documentation

-### Tasks

-#### Add Label to Task
-```
🧰 Tools
🪛 markdownlint-cli2 (0.17.2)

102-102: Headings should be surrounded by blank lines
Expected: 1; Actual: 0; Below

(MD022, blanks-around-headings)

🤖 Prompt for AI Agents
In README.md around lines 98 to 102, fix the markdown formatting by ensuring
proper spacing and heading structure. Add blank lines before and after the
headings "## API Documentation", "### Tasks", and "#### Add Label to Task" to
improve readability and consistency. Also, wrap the HTTP example or related
content in proper code block syntax using triple backticks to clearly separate
it from the headings.

{
"label_id": "456"
}
```
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🧹 Nitpick (assertive)

Add missing trailing newline.

Files should end with a single newline character as indicated by the static analysis.

Add a trailing newline at the end of the file:

}


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

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 markdownlint-cli2 (0.17.2)</summary>

124-124: Files should end with a single newline character
null

(MD047, single-trailing-newline)

</details>

</details>

<details>
<summary>🤖 Prompt for AI Agents</summary>

In README.md at line 124, the file is missing a trailing newline character at
the end. Add a single newline character after the last line to ensure the file
ends properly as required by static analysis tools.


</details>

<!-- This is an auto-generated comment by CodeRabbit -->

Comment on lines +75 to +85
try:
task_id = PyObjectId(task_id)
except Exception:
return Response(
data=ApiErrorResponse(
statusCode=400,
message="Invalid task ID format",
errors=[{"detail": "The provided task ID is not valid"}]
).model_dump(mode="json"),
status=status.HTTP_400_BAD_REQUEST
)
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💡 Verification agent

🧩 Analysis chain

Use more specific exception handling for ObjectId conversion.

The broad except Exception: clause catches all exceptions, which may mask other potential issues. Consider catching more specific exceptions related to ObjectId conversion.

         try:
             task_id = PyObjectId(task_id)
-        except Exception:
+        except (ValueError, TypeError, InvalidId):
             return Response(

Note: You may need to import InvalidId from bson.errors if PyObjectId uses BSON ObjectId internally.

Let me verify what specific exceptions PyObjectId raises:


🏁 Script executed:

#!/bin/bash
# Description: Check PyObjectId implementation to understand what exceptions it raises
# Expected: Find the specific exceptions that PyObjectId constructor can raise

ast-grep --pattern $'class PyObjectId {
  $$$
  def __init__($$$) {
    $$$
  }
  $$$
}'

# Also search for any exception handling patterns in existing PyObjectId usage
rg -A 5 -B 5 "PyObjectId\("

Length of output: 1738


🏁 Script executed:

#!/bin/bash
# Display the implementation of PyObjectId to determine which exceptions it raises
cat todo/models/common/pyobjectid.py

Length of output: 430


Use specific exception classes for ObjectId conversion

To avoid masking other errors, catch only the exceptions raised by the ObjectId constructor:

• File: todo/views/task.py

  • Add at the top:
    from bson.errors import InvalidId
  • Change the except block around PyObjectId(task_id) from a broad catch-all to only the known error types:
         try:
             task_id = PyObjectId(task_id)
  •    except Exception:
    
  •    except (InvalidId, TypeError):
           return Response(
               data=ApiErrorResponse(
                   statusCode=400,
                   message="Invalid task ID format",
                   errors=[{"detail": "The provided task ID is not valid"}]
               ).model_dump(mode="json"),
               status=status.HTTP_400_BAD_REQUEST
           )
    
    
    
🤖 Prompt for AI Agents
In todo/views/task.py around lines 75 to 85, replace the broad except Exception
clause catching all exceptions during PyObjectId conversion with a more specific
exception handler. Import InvalidId from bson.errors at the top of the file,
then change the except block to catch only InvalidId and any other specific
exceptions PyObjectId might raise. This prevents masking unrelated errors and
improves error handling clarity.

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