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Kaniko

zenml.integrations.kaniko special

Kaniko integration for image building.

KanikoIntegration (Integration)

Definition of the Kaniko integration for ZenML.

Source code in zenml/integrations/kaniko/__init__.py
class KanikoIntegration(Integration):
    """Definition of the Kaniko integration for ZenML."""

    NAME = KANIKO
    REQUIREMENTS = []

    @classmethod
    def flavors(cls) -> List[Type[Flavor]]:
        """Declare the stack component flavors for the Kaniko integration.

        Returns:
            List of new stack component flavors.
        """
        from zenml.integrations.kaniko.flavors import KanikoImageBuilderFlavor

        return [KanikoImageBuilderFlavor]

flavors() classmethod

Declare the stack component flavors for the Kaniko integration.

Returns:

Type Description
List[Type[zenml.stack.flavor.Flavor]]

List of new stack component flavors.

Source code in zenml/integrations/kaniko/__init__.py
@classmethod
def flavors(cls) -> List[Type[Flavor]]:
    """Declare the stack component flavors for the Kaniko integration.

    Returns:
        List of new stack component flavors.
    """
    from zenml.integrations.kaniko.flavors import KanikoImageBuilderFlavor

    return [KanikoImageBuilderFlavor]

flavors special

Kaniko integration flavors.

kaniko_image_builder_flavor

Kaniko image builder flavor.

KanikoImageBuilderConfig (BaseImageBuilderConfig)

Kaniko image builder configuration.

The env, env_from, volume_mounts and volumes attributes will be used to generate the container specification. They should be used to configure secrets and environment variables so that the Kaniko build container is able to push to the container registry (and optionally access the artifact store to upload the build context).

Attributes:

Name Type Description
kubernetes_context str

The Kubernetes context in which to run the Kaniko pod.

kubernetes_namespace str

The Kubernetes namespace in which to run the Kaniko pod. This namespace will not be created and must already exist.

executor_image str

The image of the Kaniko executor to use.

pod_running_timeout int

The timeout to wait until the pod is running in seconds. Defaults to 300.

env List[Dict[str, Any]]

env section of the Kubernetes container spec.

env_from List[Dict[str, Any]]

envFrom section of the Kubernetes container spec.

volume_mounts List[Dict[str, Any]]

volumeMounts section of the Kubernetes container spec.

volumes List[Dict[str, Any]]

volumes section of the Kubernetes pod spec.

service_account_name Optional[str]

Name of the Kubernetes service account to use.

store_context_in_artifact_store bool

If True, the build context will be stored in the artifact store. If False, the build context will be streamed over stdin of the kubectl process that runs the build. In case the artifact store is used, the container running the build needs read access to the artifact store.

executor_args List[str]

Additional arguments to forward to the Kaniko executor. See https://github.com/GoogleContainerTools/kaniko#additional-flags for a full list of available arguments. Example: ["--compressed-caching=false"]

Source code in zenml/integrations/kaniko/flavors/kaniko_image_builder_flavor.py
class KanikoImageBuilderConfig(BaseImageBuilderConfig):
    """Kaniko image builder configuration.

    The `env`, `env_from`, `volume_mounts` and `volumes` attributes will be
    used to generate the container specification. They should be used to
    configure secrets and environment variables so that the Kaniko build
    container is able to push to the container registry (and optionally access
    the artifact store to upload the build context).

    Attributes:
        kubernetes_context: The Kubernetes context in which to run the Kaniko
            pod.
        kubernetes_namespace: The Kubernetes namespace in which to run the
            Kaniko pod. This namespace will not be created and must already
            exist.
        executor_image: The image of the Kaniko executor to use.
        pod_running_timeout: The timeout to wait until the pod is running
            in seconds. Defaults to `300`.
        env: `env` section of the Kubernetes container spec.
        env_from: `envFrom` section of the Kubernetes container spec.
        volume_mounts: `volumeMounts` section of the Kubernetes container spec.
        volumes: `volumes` section of the Kubernetes pod spec.
        service_account_name: Name of the Kubernetes service account to use.
        store_context_in_artifact_store: If `True`, the build context will be
            stored in the artifact store. If `False`, the build context will be
            streamed over stdin of the `kubectl` process that runs the build.
            In case the artifact store is used, the container running the build
            needs read access to the artifact store.
        executor_args: Additional arguments to forward to the Kaniko executor.
            See https://github.com/GoogleContainerTools/kaniko#additional-flags
            for a full list of available arguments.
            Example: `["--compressed-caching=false"]`

    """

    kubernetes_context: str
    kubernetes_namespace: str = "zenml-kaniko"
    executor_image: str = DEFAULT_KANIKO_EXECUTOR_IMAGE
    pod_running_timeout: PositiveInt = DEFAULT_KANIKO_POD_RUNNING_TIMEOUT

    env: List[Dict[str, Any]] = []
    env_from: List[Dict[str, Any]] = []
    volume_mounts: List[Dict[str, Any]] = []
    volumes: List[Dict[str, Any]] = []
    service_account_name: Optional[str] = None

    store_context_in_artifact_store: bool = False

    executor_args: List[str] = []
KanikoImageBuilderFlavor (BaseImageBuilderFlavor)

Kaniko image builder flavor.

Source code in zenml/integrations/kaniko/flavors/kaniko_image_builder_flavor.py
class KanikoImageBuilderFlavor(BaseImageBuilderFlavor):
    """Kaniko image builder flavor."""

    @property
    def name(self) -> str:
        """The flavor name.

        Returns:
            The flavor name.
        """
        return KANIKO_IMAGE_BUILDER_FLAVOR

    @property
    def docs_url(self) -> Optional[str]:
        """A url to point at docs explaining this flavor.

        Returns:
            A flavor docs url.
        """
        return self.generate_default_docs_url()

    @property
    def sdk_docs_url(self) -> Optional[str]:
        """A url to point at SDK docs explaining this flavor.

        Returns:
            A flavor SDK docs url.
        """
        return self.generate_default_sdk_docs_url()

    @property
    def logo_url(self) -> str:
        """A url to represent the flavor in the dashboard.

        Returns:
            The flavor logo.
        """
        return "https://public-flavor-logos.s3.eu-central-1.amazonaws.com/image_builder/kaniko.png"

    @property
    def config_class(self) -> Type[KanikoImageBuilderConfig]:
        """Config class.

        Returns:
            The config class.
        """
        return KanikoImageBuilderConfig

    @property
    def implementation_class(self) -> Type["KanikoImageBuilder"]:
        """Implementation class.

        Returns:
            The implementation class.
        """
        from zenml.integrations.kaniko.image_builders import KanikoImageBuilder

        return KanikoImageBuilder
config_class: Type[zenml.integrations.kaniko.flavors.kaniko_image_builder_flavor.KanikoImageBuilderConfig] property readonly

Config class.

Returns:

Type Description
Type[zenml.integrations.kaniko.flavors.kaniko_image_builder_flavor.KanikoImageBuilderConfig]

The config class.

docs_url: Optional[str] property readonly

A url to point at docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor docs url.

implementation_class: Type[KanikoImageBuilder] property readonly

Implementation class.

Returns:

Type Description
Type[KanikoImageBuilder]

The implementation class.

logo_url: str property readonly

A url to represent the flavor in the dashboard.

Returns:

Type Description
str

The flavor logo.

name: str property readonly

The flavor name.

Returns:

Type Description
str

The flavor name.

sdk_docs_url: Optional[str] property readonly

A url to point at SDK docs explaining this flavor.

Returns:

Type Description
Optional[str]

A flavor SDK docs url.

image_builders special

Kaniko image building.

kaniko_image_builder

Kaniko image builder implementation.

KanikoImageBuilder (BaseImageBuilder)

Kaniko image builder implementation.

Source code in zenml/integrations/kaniko/image_builders/kaniko_image_builder.py
class KanikoImageBuilder(BaseImageBuilder):
    """Kaniko image builder implementation."""

    @property
    def config(self) -> KanikoImageBuilderConfig:
        """The stack component configuration.

        Returns:
            The configuration.
        """
        return cast(KanikoImageBuilderConfig, self._config)

    @property
    def is_building_locally(self) -> bool:
        """Whether the image builder builds the images on the client machine.

        Returns:
            True if the image builder builds locally, False otherwise.
        """
        return False

    @property
    def validator(self) -> Optional[StackValidator]:
        """Validates that the stack contains a container registry.

        Returns:
            Stack validator.
        """

        def _validate_remote_components(
            stack: "Stack",
        ) -> Tuple[bool, str]:
            assert stack.container_registry

            if stack.container_registry.config.is_local:
                return False, (
                    "The Kaniko image builder builds Docker images in a "
                    "Kubernetes cluster and isn't able to push the resulting "
                    "image to a local container registry running on your "
                    "machine. Please update your stack to include a remote "
                    "container registry and try again."
                )

            if (
                self.config.store_context_in_artifact_store
                and stack.artifact_store.config.is_local
            ):
                return False, (
                    "The Kaniko image builder is configured to upload the "
                    "build context to the artifact store. This only works with "
                    "remote artifact stores so that the Kaniko build pod is "
                    "able to read from it. Please update your stack to include "
                    "a remote artifact store and try again."
                )

            return True, ""

        return StackValidator(
            required_components={StackComponentType.CONTAINER_REGISTRY},
            custom_validation_function=_validate_remote_components,
        )

    def build(
        self,
        image_name: str,
        build_context: "BuildContext",
        docker_build_options: Dict[str, Any],
        container_registry: Optional["BaseContainerRegistry"] = None,
    ) -> str:
        """Builds and pushes a Docker image.

        Args:
            image_name: Name of the image to build and push.
            build_context: The build context to use for the image.
            docker_build_options: Docker build options.
            container_registry: Optional container registry to push to.

        Returns:
            The Docker image repo digest.

        Raises:
            RuntimeError: If no container registry is passed.
            RuntimeError: If the upload to the artifact store has failed.
        """
        self._check_prerequisites()
        if not container_registry:
            raise RuntimeError(
                "Unable to use the Kaniko image builder without a container "
                "registry."
            )

        pod_name = self._generate_pod_name()
        logger.info(
            "Using Kaniko to build image `%s` in pod `%s`.",
            image_name,
            pod_name,
        )
        if self.config.store_context_in_artifact_store:
            try:
                kaniko_context = self._upload_build_context(
                    build_context=build_context,
                    parent_path_directory_name="kaniko-build-contexts",
                )
            except Exception:
                raise RuntimeError(
                    "Uploading the Kaniko build context to the artifact store "
                    "failed. Please make sure you have permissions to write "
                    "to the artifact store or update the Kaniko image builder "
                    "to stream the build context using stdin by running:\n"
                    f"  `zenml image-builder update {self.name}` "
                    "--store_context_in_artifact_store=False`"
                )
        else:
            kaniko_context = "tar://stdin"

        spec_overrides = self._generate_spec_overrides(
            pod_name=pod_name, image_name=image_name, context=kaniko_context
        )

        self._run_kaniko_build(
            pod_name=pod_name,
            spec_overrides=spec_overrides,
            build_context=build_context,
        )

        image_name_with_sha = self._read_pod_output(pod_name=pod_name)
        self._verify_image_name(
            image_name_with_tag=image_name,
            image_name_with_sha=image_name_with_sha,
        )
        self._delete_pod(pod_name=pod_name)
        return image_name_with_sha

    def _generate_spec_overrides(
        self, pod_name: str, image_name: str, context: str
    ) -> Dict[str, Any]:
        """Generates Kubernetes spec overrides for the Kaniko build Pod.

        These values are used to override the default specification of the
        Kubernetes pod that is running the Kaniko build. This can be used to
        specify arguments for the Kaniko executor as well as providing
        environment variables and/or volume mounts.

        Args:
            pod_name: Name of the pod.
            image_name: Name of the image that should be built.
            context: The Kaniko executor context argument.

        Returns:
            Dictionary of spec override values.
        """
        args = [
            "--dockerfile=Dockerfile",
            f"--context={context}",
            f"--destination={image_name}",
            # Use the image name with repo digest as the Pod termination
            # message. We use this later to read the image name using kubectl.
            "--image-name-with-digest-file=/dev/termination-log",
        ] + self.config.executor_args

        optional_container_args: Dict[str, Any] = {}
        if self.config.service_account_name:
            optional_container_args["serviceAccountName"] = (
                self.config.service_account_name
            )

        return {
            "apiVersion": "v1",
            "spec": {
                "containers": [
                    {
                        "name": pod_name,
                        "image": self.config.executor_image,
                        "stdin": True,
                        "stdinOnce": True,
                        "args": args,
                        "env": self.config.env,
                        "envFrom": self.config.env_from,
                        "volumeMounts": self.config.volume_mounts,
                        **optional_container_args,
                    }
                ],
                "volumes": self.config.volumes,
            },
        }

    def _run_kaniko_build(
        self,
        pod_name: str,
        spec_overrides: Dict[str, Any],
        build_context: "BuildContext",
    ) -> None:
        """Runs the Kaniko build in Kubernetes.

        Args:
            pod_name: Name of the Pod that should be created to run the build.
            spec_overrides: Pod spec override values.
            build_context: The build context.

        Raises:
            RuntimeError: If the process running the Kaniko build failed.
        """
        command = [
            "kubectl",
            "--context",
            self.config.kubernetes_context,
            "--namespace",
            self.config.kubernetes_namespace,
            "run",
            pod_name,
            "--stdin",
            "true",
            "--restart",
            "Never",
            "--image",
            self.config.executor_image,
            "--overrides",
            json.dumps(spec_overrides),
            "--pod-running-timeout",
            f"{self.config.pod_running_timeout}s",
        ]
        logger.debug("Running Kaniko build with command: %s", command)
        with subprocess.Popen(
            command,
            stdin=subprocess.PIPE,
        ) as p:
            if not self.config.store_context_in_artifact_store:
                self._write_build_context(
                    process=p, build_context=build_context
                )

            try:
                return_code = p.wait()
            except:
                p.kill()
                raise

        if return_code:
            raise RuntimeError(
                "The process that runs the Kaniko build Pod failed. Check the "
                "log messages above for more information."
            )

    @staticmethod
    def _write_build_context(
        process: BytePopen, build_context: "BuildContext"
    ) -> None:
        """Writes the build context to the process stdin.

        Args:
            process: The process to which the context will be written.
            build_context: The build context to write.
        """
        logger.debug("Writing build context to process stdin.")
        assert process.stdin
        with process.stdin as _, tempfile.TemporaryFile(mode="w+b") as f:
            build_context.write_archive(f, use_gzip=True)
            while True:
                data = f.read(1024)
                if not data:
                    break

                process.stdin.write(data)

    @staticmethod
    def _generate_pod_name() -> str:
        """Generates a random name for the Pod that runs the Kaniko build.

        Returns:
            The Pod name.
        """
        return f"kaniko-build-{random.Random().getrandbits(32):08x}"

    def _read_pod_output(self, pod_name: str) -> str:
        """Reads the Pod output message.

        Args:
            pod_name: Name of the Pod of which to read the output message.

        Returns:
            The Pod output message.
        """
        command = [
            "kubectl",
            "--context",
            self.config.kubernetes_context,
            "--namespace",
            self.config.kubernetes_namespace,
            "get",
            "pod",
            pod_name,
            "-o",
            'jsonpath="{.status.containerStatuses[0].state.terminated.message}"',
        ]
        output = subprocess.check_output(command).decode()
        output = output.strip('"\n')
        logger.debug("Kaniko build pod termination message: %s", output)
        return output

    def _delete_pod(self, pod_name: str) -> None:
        """Deletes a Pod.

        Args:
            pod_name: Name of the Pod to delete.

        Raises:
            subprocess.CalledProcessError: If the kubectl call to delete
                the Pod failed.
        """
        command = [
            "kubectl",
            "--context",
            self.config.kubernetes_context,
            "--namespace",
            self.config.kubernetes_namespace,
            "delete",
            "pod",
            pod_name,
        ]

        try:
            subprocess.run(command, stdout=subprocess.PIPE, check=True)
        except subprocess.CalledProcessError as e:
            logger.error(e.output)
            raise

        logger.info("Deleted Kaniko build Pod %s.", pod_name)

    @staticmethod
    def _check_prerequisites() -> None:
        """Checks that all prerequisites are installed.

        Raises:
            RuntimeError: If any of the prerequisites are not installed.
        """
        if not shutil.which("kubectl"):
            raise RuntimeError(
                "`kubectl` is required to run the Kaniko image builder."
            )

    @staticmethod
    def _verify_image_name(
        image_name_with_tag: str, image_name_with_sha: str
    ) -> None:
        """Verifies the name/sha of the pushed image.

        Args:
            image_name_with_tag: The image name with a tag but without a unique
                sha.
            image_name_with_sha: The image name with a unique sha value
                appended.

        Raises:
            RuntimeError: If the image names don't point to the same Docker
                repository.
        """
        image_name_without_tag, _ = image_name_with_tag.rsplit(":", 1)
        if not image_name_with_sha.startswith(image_name_without_tag):
            raise RuntimeError(
                f"The Kaniko Pod output {image_name_with_sha} is not a valid "
                f"image name in the repository {image_name_without_tag}."
            )
config: KanikoImageBuilderConfig property readonly

The stack component configuration.

Returns:

Type Description
KanikoImageBuilderConfig

The configuration.

is_building_locally: bool property readonly

Whether the image builder builds the images on the client machine.

Returns:

Type Description
bool

True if the image builder builds locally, False otherwise.

validator: Optional[zenml.stack.stack_validator.StackValidator] property readonly

Validates that the stack contains a container registry.

Returns:

Type Description
Optional[zenml.stack.stack_validator.StackValidator]

Stack validator.

build(self, image_name, build_context, docker_build_options, container_registry=None)

Builds and pushes a Docker image.

Parameters:

Name Type Description Default
image_name str

Name of the image to build and push.

required
build_context BuildContext

The build context to use for the image.

required
docker_build_options Dict[str, Any]

Docker build options.

required
container_registry Optional[BaseContainerRegistry]

Optional container registry to push to.

None

Returns:

Type Description
str

The Docker image repo digest.

Exceptions:

Type Description
RuntimeError

If no container registry is passed.

RuntimeError

If the upload to the artifact store has failed.

Source code in zenml/integrations/kaniko/image_builders/kaniko_image_builder.py
def build(
    self,
    image_name: str,
    build_context: "BuildContext",
    docker_build_options: Dict[str, Any],
    container_registry: Optional["BaseContainerRegistry"] = None,
) -> str:
    """Builds and pushes a Docker image.

    Args:
        image_name: Name of the image to build and push.
        build_context: The build context to use for the image.
        docker_build_options: Docker build options.
        container_registry: Optional container registry to push to.

    Returns:
        The Docker image repo digest.

    Raises:
        RuntimeError: If no container registry is passed.
        RuntimeError: If the upload to the artifact store has failed.
    """
    self._check_prerequisites()
    if not container_registry:
        raise RuntimeError(
            "Unable to use the Kaniko image builder without a container "
            "registry."
        )

    pod_name = self._generate_pod_name()
    logger.info(
        "Using Kaniko to build image `%s` in pod `%s`.",
        image_name,
        pod_name,
    )
    if self.config.store_context_in_artifact_store:
        try:
            kaniko_context = self._upload_build_context(
                build_context=build_context,
                parent_path_directory_name="kaniko-build-contexts",
            )
        except Exception:
            raise RuntimeError(
                "Uploading the Kaniko build context to the artifact store "
                "failed. Please make sure you have permissions to write "
                "to the artifact store or update the Kaniko image builder "
                "to stream the build context using stdin by running:\n"
                f"  `zenml image-builder update {self.name}` "
                "--store_context_in_artifact_store=False`"
            )
    else:
        kaniko_context = "tar://stdin"

    spec_overrides = self._generate_spec_overrides(
        pod_name=pod_name, image_name=image_name, context=kaniko_context
    )

    self._run_kaniko_build(
        pod_name=pod_name,
        spec_overrides=spec_overrides,
        build_context=build_context,
    )

    image_name_with_sha = self._read_pod_output(pod_name=pod_name)
    self._verify_image_name(
        image_name_with_tag=image_name,
        image_name_with_sha=image_name_with_sha,
    )
    self._delete_pod(pod_name=pod_name)
    return image_name_with_sha