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Regenerate dataimportcron resource #2279
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Actionable comments posted: 2
🧹 Nitpick comments (1)
ocp_resources/data_import_cron.py (1)
38-39
: Fix typo in 'retention_policy' default valueThere is a typo in the docstring for
retention_policy
. The word "RatainAll" should be "RetainAll".Apply this diff to correct the typo:
- Default is RatainAll. + Default is RetainAll.
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Actionable comments posted: 0
🧹 Nitpick comments (2)
ocp_resources/data_import_cron.py (2)
10-14
: Enhance the class docstring.While the docstring provides a basic description, it could be more informative by including:
- The purpose and use cases
- Key features and capabilities
- Example usage
Consider expanding the docstring:
""" - DataImportCron defines a cron job for recurring polling/importing disk images as PVCs into a golden image namespace + DataImportCron defines a cron job for recurring polling/importing disk images as PVCs into a golden image namespace. + + This resource enables automated, scheduled importing of disk images into PVCs, which can be used to maintain + up-to-date golden images. It supports features like garbage collection of old imports and retention policies. + + Example: + ```python + cron = DataImportCron( + name="weekly-import", + managed_data_source="golden-image", + schedule="0 0 * * 0", # Weekly on Sunday + template={"spec": {"source": {"http": {"url": "http://example.com/image.qcow2"}}}} + ) + ``` """
37-44
: Fix typo and enhance template parameter documentation.There are a few improvements needed in the parameter documentation:
- The retention_policy parameter has a typo: "RatainAll" should be "RetainAll"
- The template parameter's documentation could be more descriptive
Apply these improvements to the docstrings:
retention_policy (str): RetentionPolicy specifies whether the created DataVolumes and DataSources are retained when their DataImportCron is deleted. - Default is RatainAll. + Default is RetainAll. template (dict[str, Any]): Template specifies template for the DVs to be created + The template should include the source configuration and any other DataVolume + specifications required for the import process. + Example: {"spec": {"source": {"http": {"url": "http://example.com/image.qcow2"}}}}
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🔇 Additional comments (3)
ocp_resources/data_import_cron.py (3)
1-7
: LGTM! Imports and file header are appropriate.The imports include all necessary dependencies and the file header correctly indicates it's generated.
48-54
: LGTM! Instance variables are properly initialized.The initialization is clean and correctly assigns all parameters to their corresponding instance variables.
56-84
: LGTM! The to_dict implementation is robust.The implementation:
- Properly validates required fields
- Uses correct camelCase keys in the spec
- Correctly handles optional fields with
is not None
checksNote: As discussed in previous comments, annotations can be passed via kwargs if needed, as the base resource class supports them.
@geetikakay is this verified? Please mark it as verified if so |
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Signed-off-by: Geetika Kapoor <gkapoor@redhat.com>
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Actionable comments posted: 0
🧹 Nitpick comments (3)
ocp_resources/data_import_cron.py (3)
10-12
: Enhance class documentation with more details.The class docstring could be more descriptive. Consider adding:
- Purpose and use cases
- Example usage
- Reference to the API documentation
""" - DataImportCron defines a cron job for recurring polling/importing disk images as PVCs into a golden image namespace + DataImportCron defines a cron job for recurring polling/importing disk images as PVCs into a golden image namespace. + + This resource allows automated importing of disk images on a schedule, managing the lifecycle of imported PVCs + through garbage collection and retention policies. + + Example: + ```python + cron = DataImportCron( + name="weekly-import", + managed_data_source="golden-image", + schedule="0 0 * * 0", # Every Sunday at midnight + template={"spec": {"source": {"http": {"url": "http://example.com/image.img"}}}} + ) + ``` + + API Reference: + https://kubevirt.io/api-reference/main/definitions.html#_v1beta1_dataimportcron """
37-39
: Fix typo in retention_policy docstring.There's a typo in the default value description.
RetentionPolicy specifies whether the created DataVolumes and DataSources are retained when their DataImportCron is deleted. - Default is RatainAll. + Default is RetainAll.
60-67
: Enhance error messages for required arguments.The error messages could be more descriptive to help users understand what values are expected.
if self.managed_data_source is None: - raise MissingRequiredArgumentError(argument="self.managed_data_source") + raise MissingRequiredArgumentError( + argument="managed_data_source", + message="A DataSource name must be specified to manage recurring imports." + ) if self.schedule is None: - raise MissingRequiredArgumentError(argument="self.schedule") + raise MissingRequiredArgumentError( + argument="schedule", + message="A cron schedule must be specified (e.g., '0 0 * * *' for daily at midnight)." + ) if self.template is None: - raise MissingRequiredArgumentError(argument="self.template") + raise MissingRequiredArgumentError( + argument="template", + message="A template specifying the import source and configuration must be provided." + )
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🔇 Additional comments (1)
ocp_resources/data_import_cron.py (1)
72-74
: Add validation for schedule format and template structure.Consider adding validation to prevent runtime errors:
- Validate the cron schedule format
- Validate the template structure against the API schema
Let's check if there are any validation utilities in the codebase:
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What this PR does / why we need it:
Which issue(s) this PR fixes:
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Summary by CodeRabbit
New Features
Bug Fixes
Refactor