LCORE-739: quota limiter stub code #692
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WalkthroughAdds three quota-management components: a QuotaExceedError exception, an abstract QuotaLimiter interface, and a QuotaLimiterFactory that returns quota limiter instances from configuration. Changes
Sequence Diagram(s)sequenceDiagram
participant Consumer as Client/Request
participant Factory as QuotaLimiterFactory
participant Limiter as QuotaLimiter (impl)
participant Error as QuotaExceedError
Note over Consumer,Factory: Initialization flow
Consumer->>Factory: quota_limiters(config)
Factory-->>Consumer: [list of QuotaLimiter] (may be empty)
Note over Consumer,Limiter: Runtime token-check flow
Consumer->>Limiter: available_quota(subject_id)
alt not enough
Limiter-->>Consumer: raise QuotaExceedError
Consumer->>Error: handle/report
else sufficient
Consumer->>Limiter: consume_tokens(input, output, subject_id)
Limiter-->>Consumer: success/ack
end
Estimated code review effort🎯 2 (Simple) | ⏱️ ~10 minutes Possibly related PRs
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Actionable comments posted: 5
🧹 Nitpick comments (5)
src/quota/quota_exceed_error.py (3)
1-1: Improve docstring precision and eliminate duplication.The module and class docstrings are identical and both reference only "user" when the implementation supports multiple subject types (user, cluster, unknown).
Apply this diff to improve clarity:
-"""Any exception that can occur when user does not have enough tokens available.""" +"""Exception for quota exhaustion scenarios across different subject types."""- """Any exception that can occur when user does not have enough tokens available.""" + """Raised when a subject (user, cluster, etc.) has insufficient tokens available."""Also applies to: 5-5
7-10: Enhance constructor docstring per coding guidelines.The constructor docstring should follow Google Python style and document all parameters.
As per coding guidelines, apply this diff:
- def __init__( - self, subject_id: str, subject_type: str, available: int, needed: int = 0 - ) -> None: - """Construct exception object.""" + def __init__( + self, subject_id: str, subject_type: str, available: int, needed: int = 0 + ) -> None: + """Initialize quota exceeded exception with subject and token details. + + Args: + subject_id: Identifier of the subject (user ID, cluster name, etc.). + subject_type: Type code ('u' for user, 'c' for cluster). + available: Number of tokens currently available. + needed: Number of tokens required (default 0 for general exhaustion). + """
33-36: Consider storing subject_type as an attribute.The
subject_typeparameter is used to format the message but isn't stored as an instance attribute. Storing it would allow exception handlers to programmatically determine the subject type without parsing the message.Apply this diff:
# custom attributes self.subject_id = subject_id +self.subject_type = subject_type self.available = available self.needed = neededsrc/quota/quota_limiter.py (2)
35-41: Reconsider abstract__init__design pattern.Marking
__init__as abstract is unusual and can complicate subclass implementation. Subclasses must callsuper().__init__()but cannot since the abstract method has no implementation. Additionally, having an abstract private method (_initialize_tables) is unconventional.Consider this alternative pattern:
-@abstractmethod -def __init__(self) -> None: - """Initialize connection config.""" +def __init__(self) -> None: + """Initialize connection config and tables.""" + self._initialize_tables() @abstractmethod def _initialize_tables(self) -> None: """Initialize tables and indexes."""This allows subclasses to override
_initialize_tableswhile providing a standard initialization flow.
43-49: Clarify stub implementations for connection methods.The
connect()method has no body (implicit pass) but isn't abstract, andconnected()unconditionally returnsTrue, which could be misleading in a stub implementation.Consider making
connect()abstract or adding a pass statement for clarity:# pylint: disable=W0201 +@abstractmethod def connect(self) -> None: """Initialize connection to database."""And update
connected()to reflect stub status:+@abstractmethod def connected(self) -> bool: """Check if connection to cache is alive.""" - return TrueAlternatively, if these should remain concrete with default implementations, add explicit pass/return statements with clarifying comments:
def connect(self) -> None: """Initialize connection to database.""" + pass # Stub implementation - override in subclasses def connected(self) -> bool: """Check if connection to cache is alive.""" - return True + return True # Stub implementation - override in subclasses
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📒 Files selected for processing (3)
src/quota/quota_exceed_error.py(1 hunks)src/quota/quota_limiter.py(1 hunks)src/quota/quota_limiter_factory.py(1 hunks)
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📓 Path-based instructions (2)
src/**/*.py
📄 CodeRabbit inference engine (CLAUDE.md)
Use absolute imports for internal modules (e.g., from auth import get_auth_dependency)
Files:
src/quota/quota_exceed_error.pysrc/quota/quota_limiter_factory.pysrc/quota/quota_limiter.py
**/*.py
📄 CodeRabbit inference engine (CLAUDE.md)
**/*.py: All modules start with descriptive module-level docstrings explaining purpose
Use logger = logging.getLogger(name) for module logging after import logging
Define type aliases at module level for clarity
All functions require docstrings with brief descriptions
Provide complete type annotations for all function parameters and return types
Use typing_extensions.Self in model validators where appropriate
Use modern union syntax (str | int) and Optional[T] or T | None consistently
Function names use snake_case with descriptive, action-oriented prefixes (get_, validate_, check_)
Avoid in-place parameter modification; return new data structures instead of mutating arguments
Use appropriate logging levels: debug, info, warning, error with clear messages
All classes require descriptive docstrings explaining purpose
Class names use PascalCase with conventional suffixes (Configuration, Error/Exception, Resolver, Interface)
Abstract base classes should use abc.ABC and @AbstractMethod for interfaces
Provide complete type annotations for all class attributes
Follow Google Python docstring style for modules, classes, and functions, including Args, Returns, Raises, Attributes sections as needed
Files:
src/quota/quota_exceed_error.pysrc/quota/quota_limiter_factory.pysrc/quota/quota_limiter.py
🧬 Code graph analysis (1)
src/quota/quota_limiter_factory.py (2)
src/models/config.py (2)
config(140-146)QuotaHandlersConfiguration(584-593)src/quota/quota_limiter.py (1)
QuotaLimiter(10-49)
🪛 GitHub Actions: Python linter
src/quota/quota_exceed_error.py
[error] 24-24: Pylint: Line too long (119/100).
[error] 28-28: Pylint: Line too long (130/100).
src/quota/quota_limiter_factory.py
[error] 17-17: W0613 Unused argument 'config' (unused-argument).
[error] 13-13: R0903 Too few public methods (1/2).
[error] 7-7: W0611 Unused USER_QUOTA_LIMITER imported from constants (unused-import).
[error] 7-7: W0611 Unused CLUSTER_QUOTA_LIMITER imported from constants (unused-import).
🪛 GitHub Actions: Ruff
src/quota/quota_limiter_factory.py
[error] 7-7: F401: 'USER_QUOTA_LIMITER' imported but unused. Remove unused import.
[error] 7-7: F401: 'CLUSTER_QUOTA_LIMITER' imported but unused. Remove unused import.
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- GitHub Check: build-pr
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🔇 Additional comments (3)
src/quota/quota_limiter.py (2)
1-8: LGTM!Module setup follows coding guidelines: descriptive docstring, proper imports, and logger configuration with
__name__.
29-33: LGTM!The
consume_tokensmethod signature is appropriate for tracking token consumption with proper type annotations.src/quota/quota_limiter_factory.py (1)
13-14: LGTM!The single-method factory class is an acceptable pattern for stub code. The "too few public methods" warning can be safely ignored for factory and utility classes.
| else: | ||
| match subject_type: | ||
| case "u": | ||
| message = f"User {subject_id} has {available} tokens, but {needed} tokens are needed" # noqa: E501 |
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Fix line length violations flagged by pipeline.
Lines 24 and 28 exceed the 100-character limit despite having # noqa: E501 comments, indicating the linter is still flagging them.
Apply this diff to resolve the violations:
- message = f"User {subject_id} has {available} tokens, but {needed} tokens are needed" # noqa: E501
+ message = (
+ f"User {subject_id} has {available} tokens, "
+ f"but {needed} tokens are needed"
+ )- message = f"Unknown subject {subject_id} has {available} tokens, but {needed} tokens are needed" # noqa: E501
+ message = (
+ f"Unknown subject {subject_id} has {available} tokens, "
+ f"but {needed} tokens are needed"
+ )Also applies to: 28-28
🧰 Tools
🪛 GitHub Actions: Python linter
[error] 24-24: Pylint: Line too long (119/100).
🤖 Prompt for AI Agents
In src/quota/quota_exceed_error.py around lines 24 and 28, the long f-strings
exceed the 100-character limit and the trailing "# noqa: E501" is still being
flagged; shorten those log/message lines by breaking the message into smaller
parts or using intermediate variables so each physical line is under 100 chars,
remove the "# noqa: E501" comments, and rebuild the full message via
concatenation or format across multiple lines to preserve the same runtime text.
| @staticmethod | ||
| def quota_limiters(config: QuotaHandlersConfiguration) -> list[QuotaLimiter]: | ||
| """Create instances of quota limiters based on loaded configuration. | ||
|
|
||
| Returns: | ||
| List of instances of 'QuotaLimiter', | ||
| """ | ||
| limiters: list[QuotaLimiter] = [] | ||
| return limiters |
There was a problem hiding this comment.
Document stub implementation and address unused parameter warning.
The config parameter is unused, triggering a pipeline error. For stub code that will be implemented later, consider adding a clarifying comment or suppressing the warning.
Apply this diff to suppress the warning and document the stub:
@staticmethod
def quota_limiters(config: QuotaHandlersConfiguration) -> list[QuotaLimiter]:
"""Create instances of quota limiters based on loaded configuration.
+
+ Note: Stub implementation - will instantiate concrete limiters based on config.
Returns:
List of instances of 'QuotaLimiter',
"""
+ # pylint: disable=unused-argument
limiters: list[QuotaLimiter] = []
+ # TODO: Instantiate limiters based on config.limiters
return limiters📝 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.
| @staticmethod | |
| def quota_limiters(config: QuotaHandlersConfiguration) -> list[QuotaLimiter]: | |
| """Create instances of quota limiters based on loaded configuration. | |
| Returns: | |
| List of instances of 'QuotaLimiter', | |
| """ | |
| limiters: list[QuotaLimiter] = [] | |
| return limiters | |
| @staticmethod | |
| def quota_limiters(config: QuotaHandlersConfiguration) -> list[QuotaLimiter]: | |
| """Create instances of quota limiters based on loaded configuration. | |
| Note: Stub implementation - will instantiate concrete limiters based on config. | |
| Returns: | |
| List of instances of 'QuotaLimiter', | |
| """ | |
| # pylint: disable=unused-argument | |
| limiters: list[QuotaLimiter] = [] | |
| # TODO: Instantiate limiters based on config.limiters | |
| return limiters |
🧰 Tools
🪛 GitHub Actions: Python linter
[error] 17-17: W0613 Unused argument 'config' (unused-argument).
🤖 Prompt for AI Agents
In src/quota/quota_limiter_factory.py around lines 16 to 24, the parameter
`config` is unused which triggers a pipeline/linter error; mark this function as
a documented stub and silence the unused-parameter warning by adding a short
TODO comment and a no-op reference to the parameter (e.g. assign it to `_` or
call `cast(None, config)`) so the linter sees it as used; keep the current
return of an empty list and include a one-line TODO explaining this will be
implemented later.
| def revoke_quota(self) -> None: | ||
| """Revoke quota for given user.""" |
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Align docstrings with method signatures.
Both revoke_quota and increase_quota docstrings mention "for given user" but neither method accepts a user/subject parameter. Either add the parameter or update the docstrings to match the actual signatures.
If these methods should operate on a specific subject, apply this diff:
@abstractmethod
-def revoke_quota(self) -> None:
- """Revoke quota for given user."""
+def revoke_quota(self, subject_id: str = "") -> None:
+ """Revoke quota for given subject."""
@abstractmethod
-def increase_quota(self) -> None:
- """Increase quota for given user."""
+def increase_quota(self, subject_id: str = "") -> None:
+ """Increase quota for given subject."""Otherwise, update docstrings to remove the subject reference:
- """Revoke quota for given user."""
+ """Revoke quota."""- """Increase quota for given user."""
+ """Increase quota."""Also applies to: 22-23
🤖 Prompt for AI Agents
In src/quota/quota_limiter.py around lines 18-19 and 22-23, the docstrings for
revoke_quota and increase_quota incorrectly say "for given user" while the
method signatures take no user/subject; update both docstrings to remove the
reference to a user and describe the actual behavior (e.g., "Revoke quota." and
"Increase quota." or a brief phrase describing the scope), or alternatively if
the methods should accept a subject, add the subject parameter to the signatures
and update call sites and docstrings accordingly—pick one approach and make the
code and docstrings consistent.
1 participant
Description
LCORE-739: quota limiter stub code
Type of change
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