Conversation
WalkthroughThe changes add a new 📜 Recent review detailsConfiguration used: CodeRabbit UI 📒 Files selected for processing (2)
🚧 Files skipped from review as they are similar to previous changes (2)
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (2)
✨ Finishing Touches
🪧 TipsChatThere are 3 ways to chat with CodeRabbit:
SupportNeed help? Create a ticket on our support page for assistance with any issues or questions. Note: Be mindful of the bot's finite context window. It's strongly recommended to break down tasks such as reading entire modules into smaller chunks. For a focused discussion, use review comments to chat about specific files and their changes, instead of using the PR comments. CodeRabbit Commands (Invoked using PR comments)
Other keywords and placeholders
CodeRabbit Configuration File (
|
Codecov ReportAll modified and coverable lines are covered by tests ✅
Additional details and impacted files@@ Coverage Diff @@
## main #376 +/- ##
=========================================
Coverage 100.00% 100.00%
=========================================
Files 16 16
Lines 1305 1304 -1
=========================================
- Hits 1305 1304 -1
Flags with carried forward coverage won't be shown. Click here to find out more.
Continue to review full report in Codecov by Sentry.
🚀 New features to boost your workflow:
|
![coderabbitai[bot]](https://avatars.githubusercontent.com/in/347564?s=60&v=4){kind=small}
There was a problem hiding this comment.
Actionable comments posted: 1
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (5)
cuenca_validations/types/__init__.py(2 hunks)cuenca_validations/types/identities.py(2 hunks)cuenca_validations/types/queries.py(1 hunks)cuenca_validations/version.py(1 hunks)tests/test_types.py(1 hunks)
🧰 Additional context used
📓 Path-based instructions (5)
`**/*.py`: Enforce Relative Imports for Internal Modules
Ensure that any import...
**/*.py: Enforce Relative Imports for Internal ModulesEnsure that any imports referencing internal modules use relative paths. However, if modules reside in the main module directories (for example /src or /library_or_app_name) —and relative imports are not feasible—absolute imports are acceptable. Additionally, if a module is located outside the main module structure (for example, in /tests or /scripts at a similar level), absolute imports are also valid.
Examples and Guidelines:
- If a module is in the same folder or a subfolder of the current file, use relative imports. For instance: from .some_module import SomeClass
- If the module is located under /src or /library_or_app_name and cannot be imported relatively, absolute imports are allowed (e.g., from library_or_app_name.utilities import helper_method).
- If a module is outside the main module directories (for example, in /tests, /scripts, or any similarly placed directory), absolute imports are valid.
- External (third-party) libraries should be imported absolutely (e.g., import requests).
⚙️ Source: CodeRabbit Configuration File
List of files the instruction was applied to:
cuenca_validations/types/queries.pycuenca_validations/version.pycuenca_validations/types/__init__.pytests/test_types.pycuenca_validations/types/identities.py
`**/*.py`:
Rule: Enforce Snake Case in Python Backend
- New or Modified Code:...
**/*.py:
Rule: Enforce Snake Case in Python Backend
- New or Modified Code: Use snake_case for all variables, functions, methods, and class attributes.
- Exceptions (Pydantic models for API responses):
- Primary fields must be snake_case.
- If older clients expect camelCase, create a computed or alias field that references the snake_case field.
- Mark any camelCase fields as deprecated or transitional.
Examples
Invalid:
class CardConfiguration(BaseModel): title: str subTitle: str # ❌ Modified or new field in camelCaseValid:
class CardConfiguration(BaseModel): title: str subtitle: str # ✅ snake_case for new/modified field @computed_field def subTitle(self) -> str: # camelCase allowed only for compatibility return self.subtitleAny direct use of camelCase in new or updated code outside of these exceptions should be flagged.
⚙️ Source: CodeRabbit Configuration File
List of files the instruction was applied to:
cuenca_validations/types/queries.pycuenca_validations/version.pycuenca_validations/types/__init__.pytests/test_types.pycuenca_validations/types/identities.py
`**/*.py`: Use try/except for concise error handling when accessing nested dicti...
**/*.py: Use try/except for concise error handling when accessing nested dictionary keys:try: can_ignore_error = data['error']['code'] in ignore_error_codes except KeyError: can_ignore_error = False❌ Avoid Verbose Chained Conditionals:
can_ignore_error = ( 'code' in data['error'] and data['error']['code'] in ignore_error_codes )Explanation:
The try/except approach:Reduces code complexity and nesting
Improves readability by focusing on the "happy path" logic
Follows Python's "easier to ask forgiveness than permission" (EAFP) idiomSeverity: Important (Not a Nitpick)
This pattern significantly improves code maintainability and readability, especially as dictionary access patterns become more complex.
⚙️ Source: CodeRabbit Configuration File
List of files the instruction was applied to:
cuenca_validations/types/queries.pycuenca_validations/version.pycuenca_validations/types/__init__.pytests/test_types.pycuenca_validations/types/identities.py
`**/*.py`: Context Agave is our internal Python library for processing SQS messa...
**/*.py: Context
Agave is our internal Python library for processing SQS messages. The @task decorator can automatically convert JSON to Pydantic models.Rule
Always annotate @task parameters with Pydantic models instead of manually converting dictionaries.Correct Pattern
from pydantic import BaseModel from agave.tasks.sqs_tasks import task class User(BaseModel): name: str age: int @task(queue_url=QUEUE_URL, region_name='us-east-1') async def task_validator(message: User) -> None: # The message is already a User instance - no conversion needed print(message.name) # Direct attribute accessIncorrect Pattern
from pydantic import BaseModel from agave.tasks.sqs_tasks import task class User(BaseModel): name: str age: int @task(queue_url=QUEUE_URL, region_name='us-east-1') async def task_validator(message_data: dict) -> None: # or unannotated parameter # Unnecessary conversion message = User(**message_data) print(message.name)Explanation
The Agave @task decorator automatically:
- Reads JSON messages from SQS queues
- Converts them to Pydantic model instances when the handler parameter is annotated
- Performs validation based on the Pydantic model
⚙️ Source: CodeRabbit Configuration File
List of files the instruction was applied to:
cuenca_validations/types/queries.pycuenca_validations/version.pycuenca_validations/types/__init__.pytests/test_types.pycuenca_validations/types/identities.py
`**/*.py`: ## MANDATORY: Use built-in Pydantic validators
Description
Avoid...
**/*.py: ## MANDATORY: Use built-in Pydantic validatorsDescription
Avoid creating custom validators that duplicate functionality already provided by Pydantic's built-in validators, pydantic_extra_types package, or third-party Pydantic validator libraries. This improves code maintainability and reduces unnecessary unit tests.
Bad Practice
from pydantic import BaseModel, field_validator class MyValidator(BaseModel): location: str @field_validator('location') def validate_location(cls, value: str) -> str: values = value.split(',') if len(values) != 3: raise ValueError('Must provide exactly 3 values for location') # Custom validation logic that duplicates functionality return valueGood Practice
from pydantic import BaseModel from pydantic_extra_types.coordinate import Coordinate class MyValidator(BaseModel): location: CoordinateUnit Test Guidelines
Do not write unit tests specifically for validating the behavior of Pydantic's built-in validators. These are already well-tested by the Pydantic library itself.
Tests to Remove
def test_invalid_location(): pytest.raises(ValidationError): MyValidator(location='foo,bar')Rule Enforcement
This is a mandatory rule, not a refactoring suggestion. Changes must be implemented when:
- A custom validator replicates functionality already available in Pydantic's ecosystem
- There is a suitable built-in, pydantic_extra_types, or third-party Pydantic validator available
Actions required:
- Replace custom validators with appropriate existing validators
- Remove unnecessary unit tests that only validate built-in Pydantic validation behavior
- Block PRs that introduce new custom validators when alternatives exist
⚙️ Source: CodeRabbit Configuration File
List of files the instruction was applied to:
cuenca_validations/types/queries.pycuenca_validations/version.pycuenca_validations/types/__init__.pytests/test_types.pycuenca_validations/types/identities.py
🧬 Code Graph Analysis (3)
cuenca_validations/types/__init__.py (1)
cuenca_validations/types/queries.py (1)
PostalCodeQuery(184-185)
tests/test_types.py (1)
cuenca_validations/types/enums.py (1)
State(264-297)
cuenca_validations/types/identities.py (1)
cuenca_validations/types/enums.py (2)
Country(303-553)State(264-297)
🪛 Pylint (3.3.7)
cuenca_validations/types/queries.py
[refactor] 184-184: Too few public methods (1/2)
(R0903)
🔇 Additional comments (4)
cuenca_validations/types/queries.py (1)
184-185: LGTM! Simple and well-designed query class.The
PostalCodeQueryimplementation correctly follows the established pattern in this module. The Pylint warning about too few public methods is a false positive for Pydantic models, which are primarily data containers.cuenca_validations/version.py (1)
1-1: Version update appropriate for development iteration.The version bump to
'2.1.8.dev2'correctly reflects this is a development version.cuenca_validations/types/__init__.py (1)
10-10: Properly exposes PostalCodeQuery in public API.The addition of
PostalCodeQueryto both the__all__list and the imports correctly makes the new class publicly available from the types module.Also applies to: 187-187
tests/test_types.py (1)
320-320: Correctly updated to use enum member directly.The change from
State.DF.valuetoState.DFproperly aligns with the updatedAddressmodel where thestatefield now expects the enum member directly rather than its string value.
There was a problem hiding this comment.
Actionable comments posted: 2
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (4)
cuenca_validations/types/identities.py(2 hunks)cuenca_validations/types/requests.py(1 hunks)cuenca_validations/version.py(1 hunks)tests/test_types.py(1 hunks)
🚧 Files skipped from review as they are similar to previous changes (1)
- cuenca_validations/version.py
🧰 Additional context used
📓 Path-based instructions (5)
`**/*.py`: Enforce Relative Imports for Internal Modules
Ensure that any import...
**/*.py: Enforce Relative Imports for Internal ModulesEnsure that any imports referencing internal modules use relative paths. However, if modules reside in the main module directories (for example /src or /library_or_app_name) —and relative imports are not feasible—absolute imports are acceptable. Additionally, if a module is located outside the main module structure (for example, in /tests or /scripts at a similar level), absolute imports are also valid.
Examples and Guidelines:
- If a module is in the same folder or a subfolder of the current file, use relative imports. For instance: from .some_module import SomeClass
- If the module is located under /src or /library_or_app_name and cannot be imported relatively, absolute imports are allowed (e.g., from library_or_app_name.utilities import helper_method).
- If a module is outside the main module directories (for example, in /tests, /scripts, or any similarly placed directory), absolute imports are valid.
- External (third-party) libraries should be imported absolutely (e.g., import requests).
⚙️ Source: CodeRabbit Configuration File
List of files the instruction was applied to:
cuenca_validations/types/requests.pytests/test_types.pycuenca_validations/types/identities.py
`**/*.py`:
Rule: Enforce Snake Case in Python Backend
- New or Modified Code:...
**/*.py:
Rule: Enforce Snake Case in Python Backend
- New or Modified Code: Use snake_case for all variables, functions, methods, and class attributes.
- Exceptions (Pydantic models for API responses):
- Primary fields must be snake_case.
- If older clients expect camelCase, create a computed or alias field that references the snake_case field.
- Mark any camelCase fields as deprecated or transitional.
Examples
Invalid:
class CardConfiguration(BaseModel): title: str subTitle: str # ❌ Modified or new field in camelCaseValid:
class CardConfiguration(BaseModel): title: str subtitle: str # ✅ snake_case for new/modified field @computed_field def subTitle(self) -> str: # camelCase allowed only for compatibility return self.subtitleAny direct use of camelCase in new or updated code outside of these exceptions should be flagged.
⚙️ Source: CodeRabbit Configuration File
List of files the instruction was applied to:
cuenca_validations/types/requests.pytests/test_types.pycuenca_validations/types/identities.py
`**/*.py`: Use try/except for concise error handling when accessing nested dicti...
**/*.py: Use try/except for concise error handling when accessing nested dictionary keys:try: can_ignore_error = data['error']['code'] in ignore_error_codes except KeyError: can_ignore_error = False❌ Avoid Verbose Chained Conditionals:
can_ignore_error = ( 'code' in data['error'] and data['error']['code'] in ignore_error_codes )Explanation:
The try/except approach:Reduces code complexity and nesting
Improves readability by focusing on the "happy path" logic
Follows Python's "easier to ask forgiveness than permission" (EAFP) idiomSeverity: Important (Not a Nitpick)
This pattern significantly improves code maintainability and readability, especially as dictionary access patterns become more complex.
⚙️ Source: CodeRabbit Configuration File
List of files the instruction was applied to:
cuenca_validations/types/requests.pytests/test_types.pycuenca_validations/types/identities.py
`**/*.py`: Context Agave is our internal Python library for processing SQS messa...
**/*.py: Context
Agave is our internal Python library for processing SQS messages. The @task decorator can automatically convert JSON to Pydantic models.Rule
Always annotate @task parameters with Pydantic models instead of manually converting dictionaries.Correct Pattern
from pydantic import BaseModel from agave.tasks.sqs_tasks import task class User(BaseModel): name: str age: int @task(queue_url=QUEUE_URL, region_name='us-east-1') async def task_validator(message: User) -> None: # The message is already a User instance - no conversion needed print(message.name) # Direct attribute accessIncorrect Pattern
from pydantic import BaseModel from agave.tasks.sqs_tasks import task class User(BaseModel): name: str age: int @task(queue_url=QUEUE_URL, region_name='us-east-1') async def task_validator(message_data: dict) -> None: # or unannotated parameter # Unnecessary conversion message = User(**message_data) print(message.name)Explanation
The Agave @task decorator automatically:
- Reads JSON messages from SQS queues
- Converts them to Pydantic model instances when the handler parameter is annotated
- Performs validation based on the Pydantic model
⚙️ Source: CodeRabbit Configuration File
List of files the instruction was applied to:
cuenca_validations/types/requests.pytests/test_types.pycuenca_validations/types/identities.py
`**/*.py`: ## MANDATORY: Use built-in Pydantic validators
Description
Avoid...
**/*.py: ## MANDATORY: Use built-in Pydantic validatorsDescription
Avoid creating custom validators that duplicate functionality already provided by Pydantic's built-in validators, pydantic_extra_types package, or third-party Pydantic validator libraries. This improves code maintainability and reduces unnecessary unit tests.
Bad Practice
from pydantic import BaseModel, field_validator class MyValidator(BaseModel): location: str @field_validator('location') def validate_location(cls, value: str) -> str: values = value.split(',') if len(values) != 3: raise ValueError('Must provide exactly 3 values for location') # Custom validation logic that duplicates functionality return valueGood Practice
from pydantic import BaseModel from pydantic_extra_types.coordinate import Coordinate class MyValidator(BaseModel): location: CoordinateUnit Test Guidelines
Do not write unit tests specifically for validating the behavior of Pydantic's built-in validators. These are already well-tested by the Pydantic library itself.
Tests to Remove
def test_invalid_location(): pytest.raises(ValidationError): MyValidator(location='foo,bar')Rule Enforcement
This is a mandatory rule, not a refactoring suggestion. Changes must be implemented when:
- A custom validator replicates functionality already available in Pydantic's ecosystem
- There is a suitable built-in, pydantic_extra_types, or third-party Pydantic validator available
Actions required:
- Replace custom validators with appropriate existing validators
- Remove unnecessary unit tests that only validate built-in Pydantic validation behavior
- Block PRs that introduce new custom validators when alternatives exist
⚙️ Source: CodeRabbit Configuration File
List of files the instruction was applied to:
cuenca_validations/types/requests.pytests/test_types.pycuenca_validations/types/identities.py
🧬 Code Graph Analysis (2)
cuenca_validations/types/requests.py (1)
cuenca_validations/types/identities.py (1)
Address(40-55)
cuenca_validations/types/identities.py (1)
cuenca_validations/types/enums.py (2)
KYCFileType(241-251)VerificationStatus(556-563)
🔇 Additional comments (3)
tests/test_types.py (1)
317-317: LGTM! Test updated correctly for new Address modelThe addition of
postal_code_idto the address dictionary correctly reflects the new required field in theAddressmodel. The test data is consistent with the updated model structure shown incuenca_validations/types/identities.py.cuenca_validations/types/identities.py (2)
2-2: LGTM! Import updates support new Address model structureThe import changes correctly support the updated Address model by adding
OptionalandNonEmptyStrwhile removing unused imports.Also applies to: 4-4, 7-8
52-52: LGTM! Example updated to match new Address structureThe JSON schema example correctly reflects the new Address model structure with the required
postal_code_idfield.
…nstead of Address.
…o use optional fields and postal_code_id. Adjust tests accordingly.
There was a problem hiding this comment.
Actionable comments posted: 1
📜 Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Plan: Pro
📒 Files selected for processing (3)
cuenca_validations/types/identities.py(1 hunks)cuenca_validations/version.py(1 hunks)tests/test_types.py(2 hunks)
🚧 Files skipped from review as they are similar to previous changes (2)
- cuenca_validations/version.py
- tests/test_types.py
🧰 Additional context used
📓 Path-based instructions (5)
`**/*.py`: Enforce Relative Imports for Internal Modules
Ensure that any import...
**/*.py: Enforce Relative Imports for Internal ModulesEnsure that any imports referencing internal modules use relative paths. However, if modules reside in the main module directories (for example /src or /library_or_app_name) —and relative imports are not feasible—absolute imports are acceptable. Additionally, if a module is located outside the main module structure (for example, in /tests or /scripts at a similar level), absolute imports are also valid.
Examples and Guidelines:
- If a module is in the same folder or a subfolder of the current file, use relative imports. For instance: from .some_module import SomeClass
- If the module is located under /src or /library_or_app_name and cannot be imported relatively, absolute imports are allowed (e.g., from library_or_app_name.utilities import helper_method).
- If a module is outside the main module directories (for example, in /tests, /scripts, or any similarly placed directory), absolute imports are valid.
- External (third-party) libraries should be imported absolutely (e.g., import requests).
⚙️ Source: CodeRabbit Configuration File
List of files the instruction was applied to:
cuenca_validations/types/identities.py
`**/*.py`:
Rule: Enforce Snake Case in Python Backend
- New or Modified Code:...
**/*.py:
Rule: Enforce Snake Case in Python Backend
- New or Modified Code: Use snake_case for all variables, functions, methods, and class attributes.
- Exceptions (Pydantic models for API responses):
- Primary fields must be snake_case.
- If older clients expect camelCase, create a computed or alias field that references the snake_case field.
- Mark any camelCase fields as deprecated or transitional.
Examples
Invalid:
class CardConfiguration(BaseModel): title: str subTitle: str # ❌ Modified or new field in camelCaseValid:
class CardConfiguration(BaseModel): title: str subtitle: str # ✅ snake_case for new/modified field @computed_field def subTitle(self) -> str: # camelCase allowed only for compatibility return self.subtitleAny direct use of camelCase in new or updated code outside of these exceptions should be flagged.
⚙️ Source: CodeRabbit Configuration File
List of files the instruction was applied to:
cuenca_validations/types/identities.py
`**/*.py`: Use try/except for concise error handling when accessing nested dicti...
**/*.py: Use try/except for concise error handling when accessing nested dictionary keys:try: can_ignore_error = data['error']['code'] in ignore_error_codes except KeyError: can_ignore_error = False❌ Avoid Verbose Chained Conditionals:
can_ignore_error = ( 'code' in data['error'] and data['error']['code'] in ignore_error_codes )Explanation:
The try/except approach:Reduces code complexity and nesting
Improves readability by focusing on the "happy path" logic
Follows Python's "easier to ask forgiveness than permission" (EAFP) idiomSeverity: Important (Not a Nitpick)
This pattern significantly improves code maintainability and readability, especially as dictionary access patterns become more complex.
⚙️ Source: CodeRabbit Configuration File
List of files the instruction was applied to:
cuenca_validations/types/identities.py
`**/*.py`: Context Agave is our internal Python library for processing SQS messa...
**/*.py: Context
Agave is our internal Python library for processing SQS messages. The @task decorator can automatically convert JSON to Pydantic models.Rule
Always annotate @task parameters with Pydantic models instead of manually converting dictionaries.Correct Pattern
from pydantic import BaseModel from agave.tasks.sqs_tasks import task class User(BaseModel): name: str age: int @task(queue_url=QUEUE_URL, region_name='us-east-1') async def task_validator(message: User) -> None: # The message is already a User instance - no conversion needed print(message.name) # Direct attribute accessIncorrect Pattern
from pydantic import BaseModel from agave.tasks.sqs_tasks import task class User(BaseModel): name: str age: int @task(queue_url=QUEUE_URL, region_name='us-east-1') async def task_validator(message_data: dict) -> None: # or unannotated parameter # Unnecessary conversion message = User(**message_data) print(message.name)Explanation
The Agave @task decorator automatically:
- Reads JSON messages from SQS queues
- Converts them to Pydantic model instances when the handler parameter is annotated
- Performs validation based on the Pydantic model
⚙️ Source: CodeRabbit Configuration File
List of files the instruction was applied to:
cuenca_validations/types/identities.py
`**/*.py`: ## MANDATORY: Use built-in Pydantic validators
Description
Avoid...
**/*.py: ## MANDATORY: Use built-in Pydantic validatorsDescription
Avoid creating custom validators that duplicate functionality already provided by Pydantic's built-in validators, pydantic_extra_types package, or third-party Pydantic validator libraries. This improves code maintainability and reduces unnecessary unit tests.
Bad Practice
from pydantic import BaseModel, field_validator class MyValidator(BaseModel): location: str @field_validator('location') def validate_location(cls, value: str) -> str: values = value.split(',') if len(values) != 3: raise ValueError('Must provide exactly 3 values for location') # Custom validation logic that duplicates functionality return valueGood Practice
from pydantic import BaseModel from pydantic_extra_types.coordinate import Coordinate class MyValidator(BaseModel): location: CoordinateUnit Test Guidelines
Do not write unit tests specifically for validating the behavior of Pydantic's built-in validators. These are already well-tested by the Pydantic library itself.
Tests to Remove
def test_invalid_location(): pytest.raises(ValidationError): MyValidator(location='foo,bar')Rule Enforcement
This is a mandatory rule, not a refactoring suggestion. Changes must be implemented when:
- A custom validator replicates functionality already available in Pydantic's ecosystem
- There is a suitable built-in, pydantic_extra_types, or third-party Pydantic validator available
Actions required:
- Replace custom validators with appropriate existing validators
- Remove unnecessary unit tests that only validate built-in Pydantic validation behavior
- Block PRs that introduce new custom validators when alternatives exist
⚙️ Source: CodeRabbit Configuration File
List of files the instruction was applied to:
cuenca_validations/types/identities.py
⏰ Context from checks skipped due to timeout of 90000ms. You can increase the timeout in your CodeRabbit configuration to a maximum of 15 minutes (900000ms). (2)
- GitHub Check: Analyze (actions)
- GitHub Check: Analyze (python)
🔇 Additional comments (1)
cuenca_validations/types/identities.py (1)
78-78: Good approach using postal_code_id to simplify address validation.The addition of
postal_code_idas a requiredNonEmptyStrfield aligns well with the refactoring strategy to centralize address identification. This approach reduces complexity compared to validating multiple discrete address fields.
2 participants
Summary by CodeRabbit
New Features
Bug Fixes
Chores