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Container Registries

zenml.container_registries

Initialization for ZenML's container registries module.

A container registry is a store for (Docker) containers. A ZenML workflow involving a container registry would automatically containerize your code to be transported across stacks running remotely. As part of the deployment to the cluster, the ZenML base image would be downloaded (from a cloud container registry) and used as the basis for the deployed 'run'.

For instance, when you are running a local container-based stack, you would therefore have a local container registry which stores the container images you create that bundle up your pipeline code. You could also use a remote container registry like the Elastic Container Registry at AWS in a more production setting.

Attributes

__all__ = ['BaseContainerRegistry', 'DefaultContainerRegistryFlavor', 'AzureContainerRegistryFlavor', 'DockerHubContainerRegistryFlavor', 'GCPContainerRegistryFlavor', 'GitHubContainerRegistryFlavor'] module-attribute

Classes

AzureContainerRegistryFlavor

Bases: BaseContainerRegistryFlavor

Class for Azure Container Registry.

Attributes
docs_url: Optional[str] property

A url to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.
logo_url: str property

A url to represent the flavor in the dashboard.

Returns:

Type Description
str

The flavor logo.
name: str property

Name of the flavor.

Returns:

Type Description
str

The name of the flavor.
sdk_docs_url: Optional[str] property

A url to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.
service_connector_requirements: Optional[ServiceConnectorRequirements] property

Service connector resource requirements for service connectors.

Specifies resource requirements that are used to filter the available service connector types that are compatible with this flavor.

Returns:

Type Description
Optional[ServiceConnectorRequirements]

Requirements for compatible service connectors, if a service
Optional[ServiceConnectorRequirements]

connector is required for this flavor.

BaseContainerRegistry(name: str, id: UUID, config: StackComponentConfig, flavor: str, type: StackComponentType, user: Optional[UUID], workspace: UUID, created: datetime, updated: datetime, labels: Optional[Dict[str, Any]] = None, connector_requirements: Optional[ServiceConnectorRequirements] = None, connector: Optional[UUID] = None, connector_resource_id: Optional[str] = None, *args: Any, **kwargs: Any)

Bases: AuthenticationMixin

Base class for all ZenML container registries.

Source code in src/zenml/stack/stack_component.py 
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def __init__(
    self,
    name: str,
    id: UUID,
    config: StackComponentConfig,
    flavor: str,
    type: StackComponentType,
    user: Optional[UUID],
    workspace: UUID,
    created: datetime,
    updated: datetime,
    labels: Optional[Dict[str, Any]] = None,
    connector_requirements: Optional[ServiceConnectorRequirements] = None,
    connector: Optional[UUID] = None,
    connector_resource_id: Optional[str] = None,
    *args: Any,
    **kwargs: Any,
):
    """Initializes a StackComponent.

    Args:
        name: The name of the component.
        id: The unique ID of the component.
        config: The config of the component.
        flavor: The flavor of the component.
        type: The type of the component.
        user: The ID of the user who created the component.
        workspace: The ID of the workspace the component belongs to.
        created: The creation time of the component.
        updated: The last update time of the component.
        labels: The labels of the component.
        connector_requirements: The requirements for the connector.
        connector: The ID of a connector linked to the component.
        connector_resource_id: The custom resource ID to access through
            the connector.
        *args: Additional positional arguments.
        **kwargs: Additional keyword arguments.

    Raises:
        ValueError: If a secret reference is passed as name.
    """
    if secret_utils.is_secret_reference(name):
        raise ValueError(
            "Passing the `name` attribute of a stack component as a "
            "secret reference is not allowed."
        )

    self.id = id
    self.name = name
    self._config = config
    self.flavor = flavor
    self.type = type
    self.user = user
    self.workspace = workspace
    self.created = created
    self.updated = updated
    self.labels = labels
    self.connector_requirements = connector_requirements
    self.connector = connector
    self.connector_resource_id = connector_resource_id
    self._connector_instance: Optional[ServiceConnector] = None
Attributes
config: BaseContainerRegistryConfig property

Returns the BaseContainerRegistryConfig config.

Returns:

Type Description
BaseContainerRegistryConfig

The configuration.
credentials: Optional[Tuple[str, str]] property

Username and password to authenticate with this container registry.

Returns:

Type Description
Optional[Tuple[str, str]]

Tuple with username and password if this container registry
Optional[Tuple[str, str]]

requires authentication, None otherwise.
docker_client: DockerClient property

Returns a Docker client for this container registry.

Returns:

Type Description
DockerClient

The Docker client.

Raises:

Type Description
RuntimeError

If the connector does not return a Docker client.
requires_authentication: bool property

Returns whether the container registry requires authentication.

Returns:

Type Description
bool

True if the container registry requires authentication,
bool

False otherwise.
Functions
prepare_image_push(image_name: str) -> None

Preparation before an image gets pushed.

Subclasses can overwrite this to do any necessary checks or preparations before an image gets pushed.

Parameters:

Name Type Description Default
image_name str

Name of the docker image that will be pushed.

 required
Source code in src/zenml/container_registries/base_container_registry.py 
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def prepare_image_push(self, image_name: str) -> None:
    """Preparation before an image gets pushed.

    Subclasses can overwrite this to do any necessary checks or
    preparations before an image gets pushed.

    Args:
        image_name: Name of the docker image that will be pushed.
    """
push_image(image_name: str) -> str

Pushes a docker image.

Parameters:

Name Type Description Default
image_name str

Name of the docker image that will be pushed.

 required

Returns:

Type Description
str

The Docker repository digest of the pushed image.

Raises:

Type Description
ValueError

If the image name is not associated with this container registry.
Source code in src/zenml/container_registries/base_container_registry.py 
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def push_image(self, image_name: str) -> str:
    """Pushes a docker image.

    Args:
        image_name: Name of the docker image that will be pushed.

    Returns:
        The Docker repository digest of the pushed image.

    Raises:
        ValueError: If the image name is not associated with this
            container registry.
    """
    if not image_name.startswith(self.config.uri):
        raise ValueError(
            f"Docker image `{image_name}` does not belong to container "
            f"registry `{self.config.uri}`."
        )

    self.prepare_image_push(image_name)
    return docker_utils.push_image(
        image_name, docker_client=self.docker_client
    )

DefaultContainerRegistryFlavor

Bases: BaseContainerRegistryFlavor

Class for default ZenML container registries.

Attributes
docs_url: Optional[str] property

A URL to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.
logo_url: str property

A URL to represent the flavor in the dashboard.

Returns:

Type Description
str

The flavor logo.
name: str property

Name of the flavor.

Returns:

Type Description
str

The name of the flavor.
sdk_docs_url: Optional[str] property

A URL to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.

DockerHubContainerRegistryFlavor

Bases: BaseContainerRegistryFlavor

Class for DockerHub Container Registry.

Attributes
docs_url: Optional[str] property

A url to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.
logo_url: str property

A url to represent the flavor in the dashboard.

Returns:

Type Description
str

The flavor logo.
name: str property

Name of the flavor.

Returns:

Type Description
str

The name of the flavor.
sdk_docs_url: Optional[str] property

A url to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.
service_connector_requirements: Optional[ServiceConnectorRequirements] property

Service connector resource requirements for service connectors.

Specifies resource requirements that are used to filter the available service connector types that are compatible with this flavor.

Returns:

Type Description
Optional[ServiceConnectorRequirements]

Requirements for compatible service connectors, if a service
Optional[ServiceConnectorRequirements]

connector is required for this flavor.

GCPContainerRegistryFlavor

Bases: BaseContainerRegistryFlavor

Class for GCP Container Registry.

Attributes
docs_url: Optional[str] property

A url to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.
logo_url: str property

A url to represent the flavor in the dashboard.

Returns:

Type Description
str

The flavor logo.
name: str property

Name of the flavor.

Returns:

Type Description
str

The name of the flavor.
sdk_docs_url: Optional[str] property

A url to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.
service_connector_requirements: Optional[ServiceConnectorRequirements] property

Service connector resource requirements for service connectors.

Specifies resource requirements that are used to filter the available service connector types that are compatible with this flavor.

Returns:

Type Description
Optional[ServiceConnectorRequirements]

Requirements for compatible service connectors, if a service
Optional[ServiceConnectorRequirements]

connector is required for this flavor.

GitHubContainerRegistryFlavor

Bases: BaseContainerRegistryFlavor

Class for GitHub Container Registry.

Attributes
docs_url: Optional[str] property

A url to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.
logo_url: str property

A url to represent the flavor in the dashboard.

Returns:

Type Description
str

The flavor logo.
name: str property

Name of the flavor.

Returns:

Type Description
str

The name of the flavor.
sdk_docs_url: Optional[str] property

A url to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.

Modules

azure_container_registry

Implementation of an Azure Container Registry class.

Classes
AzureContainerRegistryFlavor

Bases: BaseContainerRegistryFlavor

Class for Azure Container Registry.

Attributes
docs_url: Optional[str] property

A url to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.
logo_url: str property

A url to represent the flavor in the dashboard.

Returns:

Type Description
str

The flavor logo.
name: str property

Name of the flavor.

Returns:

Type Description
str

The name of the flavor.
sdk_docs_url: Optional[str] property

A url to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.
service_connector_requirements: Optional[ServiceConnectorRequirements] property

Service connector resource requirements for service connectors.

Specifies resource requirements that are used to filter the available service connector types that are compatible with this flavor.

Returns:

Type Description
Optional[ServiceConnectorRequirements]

Requirements for compatible service connectors, if a service
Optional[ServiceConnectorRequirements]

connector is required for this flavor.

base_container_registry

Implementation of a base container registry class.

Classes
BaseContainerRegistry(name: str, id: UUID, config: StackComponentConfig, flavor: str, type: StackComponentType, user: Optional[UUID], workspace: UUID, created: datetime, updated: datetime, labels: Optional[Dict[str, Any]] = None, connector_requirements: Optional[ServiceConnectorRequirements] = None, connector: Optional[UUID] = None, connector_resource_id: Optional[str] = None, *args: Any, **kwargs: Any)

Bases: AuthenticationMixin

Base class for all ZenML container registries.

Source code in src/zenml/stack/stack_component.py 
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def __init__(
    self,
    name: str,
    id: UUID,
    config: StackComponentConfig,
    flavor: str,
    type: StackComponentType,
    user: Optional[UUID],
    workspace: UUID,
    created: datetime,
    updated: datetime,
    labels: Optional[Dict[str, Any]] = None,
    connector_requirements: Optional[ServiceConnectorRequirements] = None,
    connector: Optional[UUID] = None,
    connector_resource_id: Optional[str] = None,
    *args: Any,
    **kwargs: Any,
):
    """Initializes a StackComponent.

    Args:
        name: The name of the component.
        id: The unique ID of the component.
        config: The config of the component.
        flavor: The flavor of the component.
        type: The type of the component.
        user: The ID of the user who created the component.
        workspace: The ID of the workspace the component belongs to.
        created: The creation time of the component.
        updated: The last update time of the component.
        labels: The labels of the component.
        connector_requirements: The requirements for the connector.
        connector: The ID of a connector linked to the component.
        connector_resource_id: The custom resource ID to access through
            the connector.
        *args: Additional positional arguments.
        **kwargs: Additional keyword arguments.

    Raises:
        ValueError: If a secret reference is passed as name.
    """
    if secret_utils.is_secret_reference(name):
        raise ValueError(
            "Passing the `name` attribute of a stack component as a "
            "secret reference is not allowed."
        )

    self.id = id
    self.name = name
    self._config = config
    self.flavor = flavor
    self.type = type
    self.user = user
    self.workspace = workspace
    self.created = created
    self.updated = updated
    self.labels = labels
    self.connector_requirements = connector_requirements
    self.connector = connector
    self.connector_resource_id = connector_resource_id
    self._connector_instance: Optional[ServiceConnector] = None
Attributes
config: BaseContainerRegistryConfig property

Returns the BaseContainerRegistryConfig config.

Returns:

Type Description
BaseContainerRegistryConfig

The configuration.
credentials: Optional[Tuple[str, str]] property

Username and password to authenticate with this container registry.

Returns:

Type Description
Optional[Tuple[str, str]]

Tuple with username and password if this container registry
Optional[Tuple[str, str]]

requires authentication, None otherwise.
docker_client: DockerClient property

Returns a Docker client for this container registry.

Returns:

Type Description
DockerClient

The Docker client.

Raises:

Type Description
RuntimeError

If the connector does not return a Docker client.
requires_authentication: bool property

Returns whether the container registry requires authentication.

Returns:

Type Description
bool

True if the container registry requires authentication,
bool

False otherwise.
Functions
prepare_image_push(image_name: str) -> None

Preparation before an image gets pushed.

Subclasses can overwrite this to do any necessary checks or preparations before an image gets pushed.

Parameters:

Name Type Description Default
image_name str

Name of the docker image that will be pushed.

 required
Source code in src/zenml/container_registries/base_container_registry.py 
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def prepare_image_push(self, image_name: str) -> None:
    """Preparation before an image gets pushed.

    Subclasses can overwrite this to do any necessary checks or
    preparations before an image gets pushed.

    Args:
        image_name: Name of the docker image that will be pushed.
    """
push_image(image_name: str) -> str

Pushes a docker image.

Parameters:

Name Type Description Default
image_name str

Name of the docker image that will be pushed.

 required

Returns:

Type Description
str

The Docker repository digest of the pushed image.

Raises:

Type Description
ValueError

If the image name is not associated with this container registry.
Source code in src/zenml/container_registries/base_container_registry.py 
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def push_image(self, image_name: str) -> str:
    """Pushes a docker image.

    Args:
        image_name: Name of the docker image that will be pushed.

    Returns:
        The Docker repository digest of the pushed image.

    Raises:
        ValueError: If the image name is not associated with this
            container registry.
    """
    if not image_name.startswith(self.config.uri):
        raise ValueError(
            f"Docker image `{image_name}` does not belong to container "
            f"registry `{self.config.uri}`."
        )

    self.prepare_image_push(image_name)
    return docker_utils.push_image(
        image_name, docker_client=self.docker_client
    )
BaseContainerRegistryConfig(warn_about_plain_text_secrets: bool = False, **kwargs: Any)

Bases: AuthenticationConfigMixin

Base config for a container registry.

Attributes:

Name Type Description
uri str

The URI of the container registry.
Source code in src/zenml/stack/stack_component.py 
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def __init__(
    self, warn_about_plain_text_secrets: bool = False, **kwargs: Any
) -> None:
    """Ensures that secret references don't clash with pydantic validation.

    StackComponents allow the specification of all their string attributes
    using secret references of the form `{{secret_name.key}}`. This however
    is only possible when the stack component does not perform any explicit
    validation of this attribute using pydantic validators. If this were
    the case, the validation would run on the secret reference and would
    fail or in the worst case, modify the secret reference and lead to
    unexpected behavior. This method ensures that no attributes that require
    custom pydantic validation are set as secret references.

    Args:
        warn_about_plain_text_secrets: If true, then warns about using
            plain-text secrets.
        **kwargs: Arguments to initialize this stack component.

    Raises:
        ValueError: If an attribute that requires custom pydantic validation
            is passed as a secret reference, or if the `name` attribute
            was passed as a secret reference.
    """
    for key, value in kwargs.items():
        try:
            field = self.__class__.model_fields[key]
        except KeyError:
            # Value for a private attribute or non-existing field, this
            # will fail during the upcoming pydantic validation
            continue

        if value is None:
            continue

        if not secret_utils.is_secret_reference(value):
            if (
                secret_utils.is_secret_field(field)
                and warn_about_plain_text_secrets
            ):
                logger.warning(
                    "You specified a plain-text value for the sensitive "
                    f"attribute `{key}` for a `{self.__class__.__name__}` "
                    "stack component. This is currently only a warning, "
                    "but future versions of ZenML will require you to pass "
                    "in sensitive information as secrets. Check out the "
                    "documentation on how to configure your stack "
                    "components with secrets here: "
                    "https://docs.zenml.io/getting-started/deploying-zenml/secret-management"
                )
            continue

        if pydantic_utils.has_validators(
            pydantic_class=self.__class__, field_name=key
        ):
            raise ValueError(
                f"Passing the stack component attribute `{key}` as a "
                "secret reference is not allowed as additional validation "
                "is required for this attribute."
            )

    super().__init__(**kwargs)
Attributes
is_local: bool property

Checks if this stack component is running locally.

Returns:

Type Description
bool

True if this config is for a local component, False otherwise.
Functions
strip_trailing_slash(uri: str) -> str classmethod

Removes trailing slashes from the URI.

Parameters:

Name Type Description Default
uri str

The URI to be stripped.

 required

Returns:

Type Description
str

The URI without trailing slashes.
Source code in src/zenml/container_registries/base_container_registry.py 
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@field_validator("uri")
@classmethod
def strip_trailing_slash(cls, uri: str) -> str:
    """Removes trailing slashes from the URI.

    Args:
        uri: The URI to be stripped.

    Returns:
        The URI without trailing slashes.
    """
    return uri.rstrip("/")
BaseContainerRegistryFlavor

Bases: Flavor

Base flavor for container registries.

Attributes
config_class: Type[BaseContainerRegistryConfig] property

Config class for this flavor.

Returns:

Type Description
Type[BaseContainerRegistryConfig]

The config class.
implementation_class: Type[BaseContainerRegistry] property

Implementation class.

Returns:

Type Description
Type[BaseContainerRegistry]

The implementation class.
service_connector_requirements: Optional[ServiceConnectorRequirements] property

Service connector resource requirements for service connectors.

Specifies resource requirements that are used to filter the available service connector types that are compatible with this flavor.

Returns:

Type Description
Optional[ServiceConnectorRequirements]

Requirements for compatible service connectors, if a service
Optional[ServiceConnectorRequirements]

connector is required for this flavor.
type: StackComponentType property

Returns the flavor type.

Returns:

Type Description
StackComponentType

The flavor type.
Modules

default_container_registry

Implementation of a default container registry class.

Classes
DefaultContainerRegistryFlavor

Bases: BaseContainerRegistryFlavor

Class for default ZenML container registries.

Attributes
docs_url: Optional[str] property

A URL to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.
logo_url: str property

A URL to represent the flavor in the dashboard.

Returns:

Type Description
str

The flavor logo.
name: str property

Name of the flavor.

Returns:

Type Description
str

The name of the flavor.
sdk_docs_url: Optional[str] property

A URL to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.

dockerhub_container_registry

Implementation of a DockerHub Container Registry class.

Classes
DockerHubContainerRegistryFlavor

Bases: BaseContainerRegistryFlavor

Class for DockerHub Container Registry.

Attributes
docs_url: Optional[str] property

A url to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.
logo_url: str property

A url to represent the flavor in the dashboard.

Returns:

Type Description
str

The flavor logo.
name: str property

Name of the flavor.

Returns:

Type Description
str

The name of the flavor.
sdk_docs_url: Optional[str] property

A url to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.
service_connector_requirements: Optional[ServiceConnectorRequirements] property

Service connector resource requirements for service connectors.

Specifies resource requirements that are used to filter the available service connector types that are compatible with this flavor.

Returns:

Type Description
Optional[ServiceConnectorRequirements]

Requirements for compatible service connectors, if a service
Optional[ServiceConnectorRequirements]

connector is required for this flavor.

gcp_container_registry

Implementation of a GCP Container Registry class.

Classes
GCPContainerRegistryFlavor

Bases: BaseContainerRegistryFlavor

Class for GCP Container Registry.

Attributes
docs_url: Optional[str] property

A url to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.
logo_url: str property

A url to represent the flavor in the dashboard.

Returns:

Type Description
str

The flavor logo.
name: str property

Name of the flavor.

Returns:

Type Description
str

The name of the flavor.
sdk_docs_url: Optional[str] property

A url to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.
service_connector_requirements: Optional[ServiceConnectorRequirements] property

Service connector resource requirements for service connectors.

Specifies resource requirements that are used to filter the available service connector types that are compatible with this flavor.

Returns:

Type Description
Optional[ServiceConnectorRequirements]

Requirements for compatible service connectors, if a service
Optional[ServiceConnectorRequirements]

connector is required for this flavor.

github_container_registry

Implementation of the GitHub Container Registry.

Classes
GitHubContainerRegistryConfig(warn_about_plain_text_secrets: bool = False, **kwargs: Any)

Bases: BaseContainerRegistryConfig

Configuration for the GitHub Container Registry.

Source code in src/zenml/stack/stack_component.py 
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def __init__(
    self, warn_about_plain_text_secrets: bool = False, **kwargs: Any
) -> None:
    """Ensures that secret references don't clash with pydantic validation.

    StackComponents allow the specification of all their string attributes
    using secret references of the form `{{secret_name.key}}`. This however
    is only possible when the stack component does not perform any explicit
    validation of this attribute using pydantic validators. If this were
    the case, the validation would run on the secret reference and would
    fail or in the worst case, modify the secret reference and lead to
    unexpected behavior. This method ensures that no attributes that require
    custom pydantic validation are set as secret references.

    Args:
        warn_about_plain_text_secrets: If true, then warns about using
            plain-text secrets.
        **kwargs: Arguments to initialize this stack component.

    Raises:
        ValueError: If an attribute that requires custom pydantic validation
            is passed as a secret reference, or if the `name` attribute
            was passed as a secret reference.
    """
    for key, value in kwargs.items():
        try:
            field = self.__class__.model_fields[key]
        except KeyError:
            # Value for a private attribute or non-existing field, this
            # will fail during the upcoming pydantic validation
            continue

        if value is None:
            continue

        if not secret_utils.is_secret_reference(value):
            if (
                secret_utils.is_secret_field(field)
                and warn_about_plain_text_secrets
            ):
                logger.warning(
                    "You specified a plain-text value for the sensitive "
                    f"attribute `{key}` for a `{self.__class__.__name__}` "
                    "stack component. This is currently only a warning, "
                    "but future versions of ZenML will require you to pass "
                    "in sensitive information as secrets. Check out the "
                    "documentation on how to configure your stack "
                    "components with secrets here: "
                    "https://docs.zenml.io/getting-started/deploying-zenml/secret-management"
                )
            continue

        if pydantic_utils.has_validators(
            pydantic_class=self.__class__, field_name=key
        ):
            raise ValueError(
                f"Passing the stack component attribute `{key}` as a "
                "secret reference is not allowed as additional validation "
                "is required for this attribute."
            )

    super().__init__(**kwargs)
GitHubContainerRegistryFlavor

Bases: BaseContainerRegistryFlavor

Class for GitHub Container Registry.

Attributes
docs_url: Optional[str] property

A url to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.
logo_url: str property

A url to represent the flavor in the dashboard.

Returns:

Type Description
str

The flavor logo.
name: str property

Name of the flavor.

Returns:

Type Description
str

The name of the flavor.
sdk_docs_url: Optional[str] property

A url to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.