prefect.infrastructure

DockerContainer

Bases: Infrastructure

Runs a command in a container.

Requires a Docker Engine to be connectable. Docker settings will be retrieved from the environment.

Click here to see a tutorial.

Attributes:

Name	Type	Description
auto_remove	bool	If set, the container will be removed on completion. Otherwise, the container will remain after exit for inspection.
command	bool	A list of strings specifying the command to run in the container to start the flow run. In most cases you should not override this.
env	bool	Environment variables to set for the container.
image	str	An optional string specifying the tag of a Docker image to use. Defaults to the Prefect image.
image_pull_policy	Optional[ImagePullPolicy]	Specifies if the image should be pulled. One of 'ALWAYS', 'NEVER', 'IF_NOT_PRESENT'.
image_registry	Optional[DockerRegistry]	A DockerRegistry block containing credentials to use if image is stored in a private image registry.
labels	Optional[DockerRegistry]	An optional dictionary of labels, mapping name to value.
name	Optional[DockerRegistry]	An optional name for the container.
network_mode	Optional[str]	Set the network mode for the created container. Defaults to 'host' if a local API url is detected, otherwise the Docker default of 'bridge' is used. If 'networks' is set, this cannot be set.
networks	List[str]	An optional list of strings specifying Docker networks to connect the container to.
stream_output	bool	If set, stream output from the container to local standard output.
volumes	List[str]	An optional list of volume mount strings in the format of "local_path:container_path".
memswap_limit	Union[int, str]	Total memory (memory + swap), -1 to disable swap. Should only be set if mem_limit is also set. If mem_limit is set, this defaults to allowing the container to use as much swap as memory. For example, if mem_limit is 300m and memswap_limit is not set, the container can use 600m in total of memory and swap.
mem_limit	Union[float, str]	Memory limit of the created container. Accepts float values to enforce a limit in bytes or a string with a unit e.g. 100000b, 1000k, 128m, 1g. If a string is given without a unit, bytes are assumed.
privileged	bool	Give extended privileges to this container.

Connecting to a locally hosted Prefect API

If using a local API URL on Linux, we will update the network mode default to 'host' to enable connectivity. If using another OS or an alternative network mode is used, we will replace 'localhost' in the API URL with 'host.docker.internal'. Generally, this will enable connectivity, but the API URL can be provided as an environment variable to override inference in more complex use-cases.

Note, if using 'host.docker.internal' in the API URL on Linux, the API must be bound to 0.0.0.0 or the Docker IP address to allow connectivity. On macOS, this is not necessary and the API is connectable while bound to localhost.

Source code in prefect/infrastructure/container.py

class DockerContainer(Infrastructure):
    """
    Runs a command in a container.

    Requires a Docker Engine to be connectable. Docker settings will be retrieved from
    the environment.

    Click [here](https://docs.prefect.io/guides/deployment/docker) to see a tutorial.

    Attributes:
        auto_remove: If set, the container will be removed on completion. Otherwise,
            the container will remain after exit for inspection.
        command: A list of strings specifying the command to run in the container to
            start the flow run. In most cases you should not override this.
        env: Environment variables to set for the container.
        image: An optional string specifying the tag of a Docker image to use.
            Defaults to the Prefect image.
        image_pull_policy: Specifies if the image should be pulled. One of 'ALWAYS',
            'NEVER', 'IF_NOT_PRESENT'.
        image_registry: A `DockerRegistry` block containing credentials to use if `image` is stored in a private
            image registry.
        labels: An optional dictionary of labels, mapping name to value.
        name: An optional name for the container.
        network_mode: Set the network mode for the created container. Defaults to 'host'
            if a local API url is detected, otherwise the Docker default of 'bridge' is
            used. If 'networks' is set, this cannot be set.
        networks: An optional list of strings specifying Docker networks to connect the
            container to.
        stream_output: If set, stream output from the container to local standard output.
        volumes: An optional list of volume mount strings in the format of
            "local_path:container_path".
        memswap_limit: Total memory (memory + swap), -1 to disable swap. Should only be
            set if `mem_limit` is also set. If `mem_limit` is set, this defaults to
            allowing the container to use as much swap as memory. For example, if
            `mem_limit` is 300m and `memswap_limit` is not set, the container can use
            600m in total of memory and swap.
        mem_limit: Memory limit of the created container. Accepts float values to enforce
            a limit in bytes or a string with a unit e.g. 100000b, 1000k, 128m, 1g.
            If a string is given without a unit, bytes are assumed.
        privileged: Give extended privileges to this container.

    ## Connecting to a locally hosted Prefect API

    If using a local API URL on Linux, we will update the network mode default to 'host'
    to enable connectivity. If using another OS or an alternative network mode is used,
    we will replace 'localhost' in the API URL with 'host.docker.internal'. Generally,
    this will enable connectivity, but the API URL can be provided as an environment
    variable to override inference in more complex use-cases.

    Note, if using 'host.docker.internal' in the API URL on Linux, the API must be bound
    to 0.0.0.0 or the Docker IP address to allow connectivity. On macOS, this is not
    necessary and the API is connectable while bound to localhost.
    """

    type: Literal["docker-container"] = Field(
        default="docker-container", description="The type of infrastructure."
    )
    image: str = Field(
        default_factory=get_prefect_image_name,
        description="Tag of a Docker image to use. Defaults to the Prefect image.",
    )
    image_pull_policy: Optional[ImagePullPolicy] = Field(
        default=None, description="Specifies if the image should be pulled."
    )
    image_registry: Optional[DockerRegistry] = None
    networks: List[str] = Field(
        default_factory=list,
        description=(
            "A list of strings specifying Docker networks to connect the container to."
        ),
    )
    network_mode: Optional[str] = Field(
        default=None,
        description=(
            "The network mode for the created container (e.g. host, bridge). If"
            " 'networks' is set, this cannot be set."
        ),
    )
    auto_remove: bool = Field(
        default=False,
        description="If set, the container will be removed on completion.",
    )
    volumes: List[str] = Field(
        default_factory=list,
        description=(
            "A list of volume mount strings in the format of"
            ' "local_path:container_path".'
        ),
    )
    stream_output: bool = Field(
        default=True,
        description=(
            "If set, the output will be streamed from the container to local standard"
            " output."
        ),
    )
    memswap_limit: Union[int, str] = Field(
        default=None,
        description=(
            "Total memory (memory + swap), -1 to disable swap. Should only be "
            "set if `mem_limit` is also set. If `mem_limit` is set, this defaults to"
            "allowing the container to use as much swap as memory. For example, if "
            "`mem_limit` is 300m and `memswap_limit` is not set, the container can use "
            "600m in total of memory and swap."
        ),
    )
    mem_limit: Union[float, str] = Field(
        default=None,
        description=(
            "Memory limit of the created container. Accepts float values to enforce "
            "a limit in bytes or a string with a unit e.g. 100000b, 1000k, 128m, 1g. "
            "If a string is given without a unit, bytes are assumed."
        ),
    )
    privileged: bool = Field(
        default=False,
        description="Give extended privileges to this container.",
    )

    _block_type_name = "Docker Container"
    _logo_url = "https://cdn.sanity.io/images/3ugk85nk/production/14a315b79990200db7341e42553e23650b34bb96-250x250.png"
    _documentation_url = "https://docs.prefect.io/api-ref/prefect/infrastructure/#prefect.infrastructure.DockerContainer"

    @validator("labels")
    def convert_labels_to_docker_format(cls, labels: Dict[str, str]):
        labels = labels or {}
        new_labels = {}
        for name, value in labels.items():
            if "/" in name:
                namespace, key = name.split("/", maxsplit=1)
                new_namespace = ".".join(reversed(namespace.split(".")))
                new_labels[f"{new_namespace}.{key}"] = value
            else:
                new_labels[name] = value
        return new_labels

    @validator("volumes")
    def check_volume_format(cls, volumes):
        for volume in volumes:
            if ":" not in volume:
                raise ValueError(
                    "Invalid volume specification. "
                    f"Expected format 'path:container_path', but got {volume!r}"
                )

        return volumes

    @sync_compatible
    async def run(
        self,
        task_status: Optional[anyio.abc.TaskStatus] = None,
    ) -> Optional[bool]:
        if not self.command:
            raise ValueError("Docker container cannot be run with empty command.")

        # The `docker` library uses requests instead of an async http library so it must
        # be run in a thread to avoid blocking the event loop.
        container = await run_sync_in_worker_thread(self._create_and_start_container)
        container_pid = self._get_infrastructure_pid(container_id=container.id)

        # Mark as started and return the infrastructure id
        if task_status:
            task_status.started(container_pid)

        # Monitor the container
        container = await run_sync_in_worker_thread(
            self._watch_container_safe, container
        )

        exit_code = container.attrs["State"].get("ExitCode")
        return DockerContainerResult(
            status_code=exit_code if exit_code is not None else -1,
            identifier=container_pid,
        )

    async def kill(self, infrastructure_pid: str, grace_seconds: int = 30):
        docker_client = self._get_client()
        base_url, container_id = self._parse_infrastructure_pid(infrastructure_pid)

        if docker_client.api.base_url != base_url:
            raise InfrastructureNotAvailable(
                "".join(
                    [
                        (
                            f"Unable to stop container {container_id!r}: the current"
                            " Docker API "
                        ),
                        (
                            f"URL {docker_client.api.base_url!r} does not match the"
                            " expected "
                        ),
                        f"API base URL {base_url}.",
                    ]
                )
            )
        try:
            container = docker_client.containers.get(container_id=container_id)
        except docker.errors.NotFound:
            raise InfrastructureNotFound(
                f"Unable to stop container {container_id!r}: The container was not"
                " found."
            )

        try:
            container.stop(timeout=grace_seconds)
        except Exception:
            raise

    def preview(self):
        # TODO: build and document a more sophisticated preview
        docker_client = self._get_client()
        try:
            return json.dumps(self._build_container_settings(docker_client))
        finally:
            docker_client.close()

    async def generate_work_pool_base_job_template(self):
        from prefect.workers.utilities import (
            get_default_base_job_template_for_infrastructure_type,
        )

        base_job_template = await get_default_base_job_template_for_infrastructure_type(
            self.get_corresponding_worker_type()
        )
        if base_job_template is None:
            return await super().generate_work_pool_base_job_template()
        for key, value in self.dict(exclude_unset=True, exclude_defaults=True).items():
            if key == "command":
                base_job_template["variables"]["properties"]["command"]["default"] = (
                    shlex.join(value)
                )
            elif key == "image_registry":
                self.logger.warning(
                    "Image registry blocks are not supported by Docker"
                    " work pools. Please authenticate to your registry using"
                    " the `docker login` command on your worker instances."
                )
            elif key in [
                "type",
                "block_type_slug",
                "_block_document_id",
                "_block_document_name",
                "_is_anonymous",
            ]:
                continue
            elif key == "image_pull_policy":
                new_value = None
                if value == ImagePullPolicy.ALWAYS:
                    new_value = "Always"
                elif value == ImagePullPolicy.NEVER:
                    new_value = "Never"
                elif value == ImagePullPolicy.IF_NOT_PRESENT:
                    new_value = "IfNotPresent"

                base_job_template["variables"]["properties"][key]["default"] = new_value
            elif key in base_job_template["variables"]["properties"]:
                base_job_template["variables"]["properties"][key]["default"] = value
            else:
                self.logger.warning(
                    f"Variable {key!r} is not supported by Docker work pools. Skipping."
                )

        return base_job_template

    def get_corresponding_worker_type(self):
        return "docker"

    def _get_infrastructure_pid(self, container_id: str) -> str:
        """Generates a Docker infrastructure_pid string in the form of
        `<docker_host_base_url>:<container_id>`.
        """
        docker_client = self._get_client()
        base_url = docker_client.api.base_url
        docker_client.close()
        return f"{base_url}:{container_id}"

    def _parse_infrastructure_pid(self, infrastructure_pid: str) -> Tuple[str, str]:
        """Splits a Docker infrastructure_pid into its component parts"""

        # base_url can contain `:` so we only want the last item of the split
        base_url, container_id = infrastructure_pid.rsplit(":", 1)
        return base_url, str(container_id)

    def _build_container_settings(
        self,
        docker_client: "DockerClient",
    ) -> Dict:
        network_mode = self._get_network_mode()
        return dict(
            image=self.image,
            network=self.networks[0] if self.networks else None,
            network_mode=network_mode,
            command=self.command,
            environment=self._get_environment_variables(network_mode),
            auto_remove=self.auto_remove,
            labels={**CONTAINER_LABELS, **self.labels},
            extra_hosts=self._get_extra_hosts(docker_client),
            name=self._get_container_name(),
            volumes=self.volumes,
            mem_limit=self.mem_limit,
            memswap_limit=self.memswap_limit,
            privileged=self.privileged,
        )

    def _create_and_start_container(self) -> "Container":
        if self.image_registry:
            # If an image registry block was supplied, load an authenticated Docker
            # client from the block. Otherwise, use an unauthenticated client to
            # pull images from public registries.
            docker_client = self.image_registry.get_docker_client()
        else:
            docker_client = self._get_client()
        container_settings = self._build_container_settings(docker_client)

        if self._should_pull_image(docker_client):
            self.logger.info(f"Pulling image {self.image!r}...")
            self._pull_image(docker_client)

        container = self._create_container(docker_client, **container_settings)

        # Add additional networks after the container is created; only one network can
        # be attached at creation time
        if len(self.networks) > 1:
            for network_name in self.networks[1:]:
                network = docker_client.networks.get(network_name)
                network.connect(container)

        # Start the container
        container.start()

        docker_client.close()

        return container

    def _get_image_and_tag(self) -> Tuple[str, Optional[str]]:
        return parse_image_tag(self.image)

    def _determine_image_pull_policy(self) -> ImagePullPolicy:
        """
        Determine the appropriate image pull policy.

        1. If they specified an image pull policy, use that.

        2. If they did not specify an image pull policy and gave us
           the "latest" tag, use ImagePullPolicy.always.

        3. If they did not specify an image pull policy and did not
           specify a tag, use ImagePullPolicy.always.

        4. If they did not specify an image pull policy and gave us
           a tag other than "latest", use ImagePullPolicy.if_not_present.

        This logic matches the behavior of Kubernetes.
        See:https://kubernetes.io/docs/concepts/containers/images/#imagepullpolicy-defaulting
        """
        if not self.image_pull_policy:
            _, tag = self._get_image_and_tag()
            if tag == "latest" or not tag:
                return ImagePullPolicy.ALWAYS
            return ImagePullPolicy.IF_NOT_PRESENT
        return self.image_pull_policy

    def _get_network_mode(self) -> Optional[str]:
        # User's value takes precedence; this may collide with the incompatible options
        # mentioned below.
        if self.network_mode:
            if sys.platform != "linux" and self.network_mode == "host":
                warnings.warn(
                    f"{self.network_mode!r} network mode is not supported on platform "
                    f"{sys.platform!r} and may not work as intended."
                )
            return self.network_mode

        # Network mode is not compatible with networks or ports (we do not support ports
        # yet though)
        if self.networks:
            return None

        # Check for a local API connection
        api_url = self.env.get("PREFECT_API_URL", PREFECT_API_URL.value())

        if api_url:
            try:
                _, netloc, _, _, _, _ = urllib.parse.urlparse(api_url)
            except Exception as exc:
                warnings.warn(
                    f"Failed to parse host from API URL {api_url!r} with exception: "
                    f"{exc}\nThe network mode will not be inferred."
                )
                return None

            host = netloc.split(":")[0]

            # If using a locally hosted API, use a host network on linux
            if sys.platform == "linux" and (host == "127.0.0.1" or host == "localhost"):
                return "host"

        # Default to unset
        return None

    def _should_pull_image(self, docker_client: "DockerClient") -> bool:
        """
        Decide whether we need to pull the Docker image.
        """
        image_pull_policy = self._determine_image_pull_policy()

        if image_pull_policy is ImagePullPolicy.ALWAYS:
            return True
        elif image_pull_policy is ImagePullPolicy.NEVER:
            return False
        elif image_pull_policy is ImagePullPolicy.IF_NOT_PRESENT:
            try:
                # NOTE: images.get() wants the tag included with the image
                # name, while images.pull() wants them split.
                docker_client.images.get(self.image)
            except docker.errors.ImageNotFound:
                self.logger.debug(f"Could not find Docker image locally: {self.image}")
                return True
        return False

    def _pull_image(self, docker_client: "DockerClient"):
        """
        Pull the image we're going to use to create the container.
        """
        image, tag = self._get_image_and_tag()

        return docker_client.images.pull(image, tag)

    def _create_container(self, docker_client: "DockerClient", **kwargs) -> "Container":
        """
        Create a docker container with retries on name conflicts.

        If the container already exists with the given name, an incremented index is
        added.
        """
        # Create the container with retries on name conflicts (with an incremented idx)
        index = 0
        container = None
        name = original_name = kwargs.pop("name")

        while not container:
            from docker.errors import APIError

            try:
                display_name = repr(name) if name else "with auto-generated name"
                self.logger.info(f"Creating Docker container {display_name}...")
                container = docker_client.containers.create(name=name, **kwargs)
            except APIError as exc:
                if "Conflict" in str(exc) and "container name" in str(exc):
                    self.logger.info(
                        f"Docker container name {display_name} already exists; "
                        "retrying..."
                    )
                    index += 1
                    name = f"{original_name}-{index}"
                else:
                    raise

        self.logger.info(
            f"Docker container {container.name!r} has status {container.status!r}"
        )
        return container

    def _watch_container_safe(self, container: "Container") -> "Container":
        # Monitor the container capturing the latest snapshot while capturing
        # not found errors
        docker_client = self._get_client()

        try:
            for latest_container in self._watch_container(docker_client, container.id):
                container = latest_container
        except docker.errors.NotFound:
            # The container was removed during watching
            self.logger.warning(
                f"Docker container {container.name} was removed before we could wait "
                "for its completion."
            )
        finally:
            docker_client.close()

        return container

    def _watch_container(
        self, docker_client: "DockerClient", container_id: str
    ) -> Generator[None, None, "Container"]:
        container: "Container" = docker_client.containers.get(container_id)

        status = container.status
        self.logger.info(
            f"Docker container {container.name!r} has status {container.status!r}"
        )
        yield container

        if self.stream_output:
            try:
                for log in container.logs(stream=True):
                    log: bytes
                    print(log.decode().rstrip())
            except docker.errors.APIError as exc:
                if "marked for removal" in str(exc):
                    self.logger.warning(
                        f"Docker container {container.name} was marked for removal"
                        " before logs could be retrieved. Output will not be"
                        " streamed. "
                    )
                else:
                    self.logger.exception(
                        "An unexpected Docker API error occurred while streaming"
                        f" output from container {container.name}."
                    )

            container.reload()
            if container.status != status:
                self.logger.info(
                    f"Docker container {container.name!r} has status"
                    f" {container.status!r}"
                )
            yield container

        container.wait()
        self.logger.info(
            f"Docker container {container.name!r} has status {container.status!r}"
        )
        yield container

    def _get_client(self):
        try:
            with warnings.catch_warnings():
                # Silence warnings due to use of deprecated methods within dockerpy
                # See https://github.com/docker/docker-py/pull/2931
                warnings.filterwarnings(
                    "ignore",
                    message="distutils Version classes are deprecated.*",
                    category=DeprecationWarning,
                )

                docker_client = docker.from_env()

        except docker.errors.DockerException as exc:
            raise RuntimeError("Could not connect to Docker.") from exc

        return docker_client

    def _get_container_name(self) -> Optional[str]:
        """
        Generates a container name to match the configured name, ensuring it is Docker
        compatible.
        """
        # Must match `/?[a-zA-Z0-9][a-zA-Z0-9_.-]+` in the end
        if not self.name:
            return None

        return (
            slugify(
                self.name,
                lowercase=False,
                # Docker does not limit length but URL limits apply eventually so
                # limit the length for safety
                max_length=250,
                # Docker allows these characters for container names
                regex_pattern=r"[^a-zA-Z0-9_.-]+",
            ).lstrip(
                # Docker does not allow leading underscore, dash, or period
                "_-."
            )
            # Docker does not allow 0 character names so cast to null if the name is
            # empty after slufification
            or None
        )

    def _get_extra_hosts(self, docker_client) -> Dict[str, str]:
        """
        A host.docker.internal -> host-gateway mapping is necessary for communicating
        with the API on Linux machines. Docker Desktop on macOS will automatically
        already have this mapping.
        """
        if sys.platform == "linux" and (
            # Do not warn if the user has specified a host manually that does not use
            # a local address
            "PREFECT_API_URL" not in self.env
            or re.search(
                ".*(localhost)|(127.0.0.1)|(host.docker.internal).*",
                self.env["PREFECT_API_URL"],
            )
        ):
            user_version = packaging.version.parse(
                format_outlier_version_name(docker_client.version()["Version"])
            )
            required_version = packaging.version.parse("20.10.0")

            if user_version < required_version:
                warnings.warn(
                    "`host.docker.internal` could not be automatically resolved to"
                    " your local ip address. This feature is not supported on Docker"
                    f" Engine v{user_version}, upgrade to v{required_version}+ if you"
                    " encounter issues."
                )
                return {}
            else:
                # Compatibility for linux -- https://github.com/docker/cli/issues/2290
                # Only supported by Docker v20.10.0+ which is our minimum recommend version
                return {"host.docker.internal": "host-gateway"}

    def _get_environment_variables(self, network_mode):
        # If the API URL has been set by the base environment rather than the by the
        # user, update the value to ensure connectivity when using a bridge network by
        # updating local connections to use the docker internal host unless the
        # network mode is "host" where localhost is available already.
        env = {**self._base_environment(), **self.env}

        if (
            "PREFECT_API_URL" in env
            and "PREFECT_API_URL" not in self.env
            and network_mode != "host"
        ):
            env["PREFECT_API_URL"] = (
                env["PREFECT_API_URL"]
                .replace("localhost", "host.docker.internal")
                .replace("127.0.0.1", "host.docker.internal")
            )

        # Drop null values allowing users to "unset" variables
        return {key: value for key, value in env.items() if value is not None}

DockerContainerResult

Bases: InfrastructureResult

Contains information about a completed Docker container

Source code in prefect/infrastructure/container.py

class DockerContainerResult(InfrastructureResult):
    """Contains information about a completed Docker container"""

Infrastructure

Bases: Block, ABC

Source code in prefect/infrastructure/base.py

class Infrastructure(Block, abc.ABC):
    _block_schema_capabilities = ["run-infrastructure"]

    type: str

    env: Dict[str, Optional[str]] = pydantic.Field(
        default_factory=dict,
        title="Environment",
        description="Environment variables to set in the configured infrastructure.",
    )
    labels: Dict[str, str] = pydantic.Field(
        default_factory=dict,
        description="Labels applied to the infrastructure for metadata purposes.",
    )
    name: Optional[str] = pydantic.Field(
        default=None,
        description="Name applied to the infrastructure for identification.",
    )
    command: Optional[List[str]] = pydantic.Field(
        default=None,
        description="The command to run in the infrastructure.",
    )

    async def generate_work_pool_base_job_template(self):
        if self._block_document_id is None:
            raise BlockNotSavedError(
                "Cannot publish as work pool, block has not been saved. Please call"
                " `.save()` on your block before publishing."
            )

        block_schema = self.__class__.schema()
        return {
            "job_configuration": {"block": "{{ block }}"},
            "variables": {
                "type": "object",
                "properties": {
                    "block": {
                        "title": "Block",
                        "description": (
                            "The infrastructure block to use for job creation."
                        ),
                        "allOf": [{"$ref": f"#/definitions/{self.__class__.__name__}"}],
                        "default": {
                            "$ref": {"block_document_id": str(self._block_document_id)}
                        },
                    }
                },
                "required": ["block"],
                "definitions": {self.__class__.__name__: block_schema},
            },
        }

    def get_corresponding_worker_type(self):
        return "block"

    @sync_compatible
    async def publish_as_work_pool(self, work_pool_name: Optional[str] = None):
        """
        Creates a work pool configured to use the given block as the job creator.

        Used to migrate from a agents setup to a worker setup.

        Args:
            work_pool_name: The name to give to the created work pool. If not provided, the name of the current
                block will be used.
        """

        base_job_template = await self.generate_work_pool_base_job_template()
        work_pool_name = work_pool_name or self._block_document_name

        if work_pool_name is None:
            raise ValueError(
                "`work_pool_name` must be provided if the block has not been saved."
            )

        console = Console()

        try:
            async with prefect.get_client() as client:
                work_pool = await client.create_work_pool(
                    work_pool=WorkPoolCreate(
                        name=work_pool_name,
                        type=self.get_corresponding_worker_type(),
                        base_job_template=base_job_template,
                    )
                )
        except ObjectAlreadyExists:
            console.print(
                (
                    f"Work pool with name {work_pool_name!r} already exists, please use"
                    " a different name."
                ),
                style="red",
            )
            return

        console.print(
            f"Work pool {work_pool.name} created!",
            style="green",
        )
        if PREFECT_UI_URL:
            console.print(
                "You see your new work pool in the UI at"
                f" {PREFECT_UI_URL.value()}/work-pools/work-pool/{work_pool.name}"
            )

        deploy_script = (
            "my_flow.deploy(work_pool_name='{work_pool.name}', image='my_image:tag')"
        )
        if not hasattr(self, "image"):
            deploy_script = (
                "my_flow.from_source(source='https://github.com/org/repo.git',"
                f" entrypoint='flow.py:my_flow').deploy(work_pool_name='{work_pool.name}')"
            )
        console.print(
            "\nYou can deploy a flow to this work pool by calling"
            f" [blue].deploy[/]:\n\n\t{deploy_script}\n"
        )
        console.print(
            "\nTo start a worker to execute flow runs in this work pool run:\n"
        )
        console.print(f"\t[blue]prefect worker start --pool {work_pool.name}[/]\n")

    @abc.abstractmethod
    async def run(
        self,
        task_status: anyio.abc.TaskStatus = None,
    ) -> InfrastructureResult:
        """
        Run the infrastructure.

        If provided a `task_status`, the status will be reported as started when the
        infrastructure is successfully created. The status return value will be an
        identifier for the infrastructure.

        The call will then monitor the created infrastructure, returning a result at
        the end containing a status code indicating if the infrastructure exited cleanly
        or encountered an error.
        """
        # Note: implementations should include `sync_compatible`

    @abc.abstractmethod
    def preview(self) -> str:
        """
        View a preview of the infrastructure that would be run.
        """

    @property
    def logger(self):
        return get_logger(f"prefect.infrastructure.{self.type}")

    @property
    def is_using_a_runner(self):
        return self.command is not None and "prefect flow-run execute" in shlex.join(
            self.command
        )

    @classmethod
    def _base_environment(cls) -> Dict[str, str]:
        """
        Environment variables that should be passed to all created infrastructure.

        These values should be overridable with the `env` field.
        """
        return get_current_settings().to_environment_variables(exclude_unset=True)

    def prepare_for_flow_run(
        self: Self,
        flow_run: "FlowRun",
        deployment: Optional["Deployment"] = None,
        flow: Optional["Flow"] = None,
    ) -> Self:
        """
        Return an infrastructure block that is prepared to execute a flow run.
        """
        if deployment is not None:
            deployment_labels = self._base_deployment_labels(deployment)
        else:
            deployment_labels = {}

        if flow is not None:
            flow_labels = self._base_flow_labels(flow)
        else:
            flow_labels = {}

        return self.copy(
            update={
                "env": {**self._base_flow_run_environment(flow_run), **self.env},
                "labels": {
                    **self._base_flow_run_labels(flow_run),
                    **deployment_labels,
                    **flow_labels,
                    **self.labels,
                },
                "name": self.name or flow_run.name,
                "command": self.command or self._base_flow_run_command(),
            }
        )

    @staticmethod
    def _base_flow_run_command() -> List[str]:
        """
        Generate a command for a flow run job.
        """
        if experiment_enabled("enhanced_cancellation"):
            if (
                PREFECT_EXPERIMENTAL_WARN
                and PREFECT_EXPERIMENTAL_WARN_ENHANCED_CANCELLATION
            ):
                warnings.warn(
                    EXPERIMENTAL_WARNING.format(
                        feature="Enhanced flow run cancellation",
                        group="enhanced_cancellation",
                        help="",
                    ),
                    ExperimentalFeature,
                    stacklevel=3,
                )
            return ["prefect", "flow-run", "execute"]

        return ["python", "-m", "prefect.engine"]

    @staticmethod
    def _base_flow_run_labels(flow_run: "FlowRun") -> Dict[str, str]:
        """
        Generate a dictionary of labels for a flow run job.
        """
        return {
            "prefect.io/flow-run-id": str(flow_run.id),
            "prefect.io/flow-run-name": flow_run.name,
            "prefect.io/version": prefect.__version__,
        }

    @staticmethod
    def _base_flow_run_environment(flow_run: "FlowRun") -> Dict[str, str]:
        """
        Generate a dictionary of environment variables for a flow run job.
        """
        environment = {}
        environment["PREFECT__FLOW_RUN_ID"] = str(flow_run.id)
        return environment

    @staticmethod
    def _base_deployment_labels(deployment: "Deployment") -> Dict[str, str]:
        labels = {
            "prefect.io/deployment-name": deployment.name,
        }
        if deployment.updated is not None:
            labels["prefect.io/deployment-updated"] = deployment.updated.in_timezone(
                "utc"
            ).to_iso8601_string()
        return labels

    @staticmethod
    def _base_flow_labels(flow: "Flow") -> Dict[str, str]:
        return {
            "prefect.io/flow-name": flow.name,
        }

prepare_for_flow_run

Return an infrastructure block that is prepared to execute a flow run.

Source code in prefect/infrastructure/base.py

def prepare_for_flow_run(
    self: Self,
    flow_run: "FlowRun",
    deployment: Optional["Deployment"] = None,
    flow: Optional["Flow"] = None,
) -> Self:
    """
    Return an infrastructure block that is prepared to execute a flow run.
    """
    if deployment is not None:
        deployment_labels = self._base_deployment_labels(deployment)
    else:
        deployment_labels = {}

    if flow is not None:
        flow_labels = self._base_flow_labels(flow)
    else:
        flow_labels = {}

    return self.copy(
        update={
            "env": {**self._base_flow_run_environment(flow_run), **self.env},
            "labels": {
                **self._base_flow_run_labels(flow_run),
                **deployment_labels,
                **flow_labels,
                **self.labels,
            },
            "name": self.name or flow_run.name,
            "command": self.command or self._base_flow_run_command(),
        }
    )

preview abstractmethod

View a preview of the infrastructure that would be run.

Source code in prefect/infrastructure/base.py

@abc.abstractmethod
def preview(self) -> str:
    """
    View a preview of the infrastructure that would be run.
    """

publish_as_work_pool async

Creates a work pool configured to use the given block as the job creator.

Used to migrate from a agents setup to a worker setup.

Parameters:

Name	Type	Description	Default
work_pool_name	Optional[str]	The name to give to the created work pool. If not provided, the name of the current block will be used.	None

Source code in prefect/infrastructure/base.py

@sync_compatible
async def publish_as_work_pool(self, work_pool_name: Optional[str] = None):
    """
    Creates a work pool configured to use the given block as the job creator.

    Used to migrate from a agents setup to a worker setup.

    Args:
        work_pool_name: The name to give to the created work pool. If not provided, the name of the current
            block will be used.
    """

    base_job_template = await self.generate_work_pool_base_job_template()
    work_pool_name = work_pool_name or self._block_document_name

    if work_pool_name is None:
        raise ValueError(
            "`work_pool_name` must be provided if the block has not been saved."
        )

    console = Console()

    try:
        async with prefect.get_client() as client:
            work_pool = await client.create_work_pool(
                work_pool=WorkPoolCreate(
                    name=work_pool_name,
                    type=self.get_corresponding_worker_type(),
                    base_job_template=base_job_template,
                )
            )
    except ObjectAlreadyExists:
        console.print(
            (
                f"Work pool with name {work_pool_name!r} already exists, please use"
                " a different name."
            ),
            style="red",
        )
        return

    console.print(
        f"Work pool {work_pool.name} created!",
        style="green",
    )
    if PREFECT_UI_URL:
        console.print(
            "You see your new work pool in the UI at"
            f" {PREFECT_UI_URL.value()}/work-pools/work-pool/{work_pool.name}"
        )

    deploy_script = (
        "my_flow.deploy(work_pool_name='{work_pool.name}', image='my_image:tag')"
    )
    if not hasattr(self, "image"):
        deploy_script = (
            "my_flow.from_source(source='https://github.com/org/repo.git',"
            f" entrypoint='flow.py:my_flow').deploy(work_pool_name='{work_pool.name}')"
        )
    console.print(
        "\nYou can deploy a flow to this work pool by calling"
        f" [blue].deploy[/]:\n\n\t{deploy_script}\n"
    )
    console.print(
        "\nTo start a worker to execute flow runs in this work pool run:\n"
    )
    console.print(f"\t[blue]prefect worker start --pool {work_pool.name}[/]\n")

run abstractmethod async

Run the infrastructure.

If provided a task_status, the status will be reported as started when the infrastructure is successfully created. The status return value will be an identifier for the infrastructure.

The call will then monitor the created infrastructure, returning a result at the end containing a status code indicating if the infrastructure exited cleanly or encountered an error.

Source code in prefect/infrastructure/base.py

@abc.abstractmethod
async def run(
    self,
    task_status: anyio.abc.TaskStatus = None,
) -> InfrastructureResult:
    """
    Run the infrastructure.

    If provided a `task_status`, the status will be reported as started when the
    infrastructure is successfully created. The status return value will be an
    identifier for the infrastructure.

    The call will then monitor the created infrastructure, returning a result at
    the end containing a status code indicating if the infrastructure exited cleanly
    or encountered an error.
    """

KubernetesClusterConfig

Bases: Block

Stores configuration for interaction with Kubernetes clusters.

See from_file for creation.

Attributes:

Name	Type	Description
config	Dict	The entire loaded YAML contents of a kubectl config file
context_name	str	The name of the kubectl context to use

Example

Load a saved Kubernetes cluster config:

from prefect.blocks.kubernetes import KubernetesClusterConfig

cluster_config_block = KubernetesClusterConfig.load("BLOCK_NAME")

Source code in prefect/blocks/kubernetes.py

class KubernetesClusterConfig(Block):
    """
    Stores configuration for interaction with Kubernetes clusters.

    See `from_file` for creation.

    Attributes:
        config: The entire loaded YAML contents of a kubectl config file
        context_name: The name of the kubectl context to use

    Example:
        Load a saved Kubernetes cluster config:
        ```python
        from prefect.blocks.kubernetes import KubernetesClusterConfig

        cluster_config_block = KubernetesClusterConfig.load("BLOCK_NAME")
        ```
    """

    _block_type_name = "Kubernetes Cluster Config"
    _logo_url = "https://cdn.sanity.io/images/3ugk85nk/production/2d0b896006ad463b49c28aaac14f31e00e32cfab-250x250.png"
    _documentation_url = "https://docs.prefect.io/api-ref/prefect/blocks/kubernetes/#prefect.blocks.kubernetes.KubernetesClusterConfig"

    config: Dict = Field(
        default=..., description="The entire contents of a kubectl config file."
    )
    context_name: str = Field(
        default=..., description="The name of the kubectl context to use."
    )

    @validator("config", pre=True)
    def parse_yaml_config(cls, value):
        if isinstance(value, str):
            return yaml.safe_load(value)
        return value

    @classmethod
    def from_file(cls: Type[Self], path: Path = None, context_name: str = None) -> Self:
        """
        Create a cluster config from the a Kubernetes config file.

        By default, the current context in the default Kubernetes config file will be
        used.

        An alternative file or context may be specified.

        The entire config file will be loaded and stored.
        """
        kube_config = kubernetes.config.kube_config

        path = Path(path or kube_config.KUBE_CONFIG_DEFAULT_LOCATION)
        path = path.expanduser().resolve()

        # Determine the context
        existing_contexts, current_context = kube_config.list_kube_config_contexts(
            config_file=str(path)
        )
        context_names = {ctx["name"] for ctx in existing_contexts}
        if context_name:
            if context_name not in context_names:
                raise ValueError(
                    f"Context {context_name!r} not found. "
                    f"Specify one of: {listrepr(context_names, sep=', ')}."
                )
        else:
            context_name = current_context["name"]

        # Load the entire config file
        config_file_contents = path.read_text()
        config_dict = yaml.safe_load(config_file_contents)

        return cls(config=config_dict, context_name=context_name)

    def get_api_client(self) -> "ApiClient":
        """
        Returns a Kubernetes API client for this cluster config.
        """
        return kubernetes.config.kube_config.new_client_from_config_dict(
            config_dict=self.config, context=self.context_name
        )

    def configure_client(self) -> None:
        """
        Activates this cluster configuration by loading the configuration into the
        Kubernetes Python client. After calling this, Kubernetes API clients can use
        this config's context.
        """
        kubernetes.config.kube_config.load_kube_config_from_dict(
            config_dict=self.config, context=self.context_name
        )

configure_client

Activates this cluster configuration by loading the configuration into the Kubernetes Python client. After calling this, Kubernetes API clients can use this config's context.

Source code in prefect/blocks/kubernetes.py

def configure_client(self) -> None:
    """
    Activates this cluster configuration by loading the configuration into the
    Kubernetes Python client. After calling this, Kubernetes API clients can use
    this config's context.
    """
    kubernetes.config.kube_config.load_kube_config_from_dict(
        config_dict=self.config, context=self.context_name
    )

from_file classmethod

Create a cluster config from the a Kubernetes config file.

By default, the current context in the default Kubernetes config file will be used.

An alternative file or context may be specified.

The entire config file will be loaded and stored.

Source code in prefect/blocks/kubernetes.py

@classmethod
def from_file(cls: Type[Self], path: Path = None, context_name: str = None) -> Self:
    """
    Create a cluster config from the a Kubernetes config file.

    By default, the current context in the default Kubernetes config file will be
    used.

    An alternative file or context may be specified.

    The entire config file will be loaded and stored.
    """
    kube_config = kubernetes.config.kube_config

    path = Path(path or kube_config.KUBE_CONFIG_DEFAULT_LOCATION)
    path = path.expanduser().resolve()

    # Determine the context
    existing_contexts, current_context = kube_config.list_kube_config_contexts(
        config_file=str(path)
    )
    context_names = {ctx["name"] for ctx in existing_contexts}
    if context_name:
        if context_name not in context_names:
            raise ValueError(
                f"Context {context_name!r} not found. "
                f"Specify one of: {listrepr(context_names, sep=', ')}."
            )
    else:
        context_name = current_context["name"]

    # Load the entire config file
    config_file_contents = path.read_text()
    config_dict = yaml.safe_load(config_file_contents)

    return cls(config=config_dict, context_name=context_name)

get_api_client

Returns a Kubernetes API client for this cluster config.

Source code in prefect/blocks/kubernetes.py

def get_api_client(self) -> "ApiClient":
    """
    Returns a Kubernetes API client for this cluster config.
    """
    return kubernetes.config.kube_config.new_client_from_config_dict(
        config_dict=self.config, context=self.context_name
    )

KubernetesJob

Bases: Infrastructure

Runs a command as a Kubernetes Job.

For a guided tutorial, see How to use Kubernetes with Prefect. For more information, including examples for customizing the resulting manifest, see KubernetesJob infrastructure concepts.

Attributes:

Name	Type	Description
cluster_config	Optional[KubernetesClusterConfig]	An optional Kubernetes cluster config to use for this job.
command	Optional[KubernetesClusterConfig]	A list of strings specifying the command to run in the container to start the flow run. In most cases you should not override this.
customizations	JsonPatch	A list of JSON 6902 patches to apply to the base Job manifest.
env	JsonPatch	Environment variables to set for the container.
finished_job_ttl	Optional[int]	The number of seconds to retain jobs after completion. If set, finished jobs will be cleaned up by Kubernetes after the given delay. If None (default), jobs will need to be manually removed.
image	Optional[str]	An optional string specifying the image reference of a container image to use for the job, for example, docker.io/prefecthq/prefect:2-latest. The behavior is as described in https://kubernetes.io/docs/concepts/containers/images/#image-names. Defaults to the Prefect image.
image_pull_policy	Optional[KubernetesImagePullPolicy]	The Kubernetes image pull policy to use for job containers.
job	KubernetesManifest	The base manifest for the Kubernetes Job.
job_watch_timeout_seconds	Optional[int]	Number of seconds to wait for the job to complete before marking it as crashed. Defaults to None, which means no timeout will be enforced.
labels	Optional[int]	An optional dictionary of labels to add to the job.
name	Optional[int]	An optional name for the job.
namespace	Optional[str]	An optional string signifying the Kubernetes namespace to use.
pod_watch_timeout_seconds	int	Number of seconds to watch for pod creation before timing out (default 60).
service_account_name	Optional[str]	An optional string specifying which Kubernetes service account to use.
stream_output	bool	If set, stream output from the job to local standard output.

Source code in prefect/infrastructure/kubernetes.py

class KubernetesJob(Infrastructure):
    """
    Runs a command as a Kubernetes Job.

    For a guided tutorial, see [How to use Kubernetes with Prefect](https://medium.com/the-prefect-blog/how-to-use-kubernetes-with-prefect-419b2e8b8cb2/).
    For more information, including examples for customizing the resulting manifest, see [`KubernetesJob` infrastructure concepts](https://docs.prefect.io/concepts/infrastructure/#kubernetesjob).

    Attributes:
        cluster_config: An optional Kubernetes cluster config to use for this job.
        command: A list of strings specifying the command to run in the container to
            start the flow run. In most cases you should not override this.
        customizations: A list of JSON 6902 patches to apply to the base Job manifest.
        env: Environment variables to set for the container.
        finished_job_ttl: The number of seconds to retain jobs after completion. If set, finished jobs will
            be cleaned up by Kubernetes after the given delay. If None (default), jobs will need to be
            manually removed.
        image: An optional string specifying the image reference of a container image
            to use for the job, for example, docker.io/prefecthq/prefect:2-latest. The
            behavior is as described in https://kubernetes.io/docs/concepts/containers/images/#image-names.
            Defaults to the Prefect image.
        image_pull_policy: The Kubernetes image pull policy to use for job containers.
        job: The base manifest for the Kubernetes Job.
        job_watch_timeout_seconds: Number of seconds to wait for the job to complete
            before marking it as crashed. Defaults to `None`, which means no timeout will be enforced.
        labels: An optional dictionary of labels to add to the job.
        name: An optional name for the job.
        namespace: An optional string signifying the Kubernetes namespace to use.
        pod_watch_timeout_seconds: Number of seconds to watch for pod creation before timing out (default 60).
        service_account_name: An optional string specifying which Kubernetes service account to use.
        stream_output: If set, stream output from the job to local standard output.
    """

    _logo_url = "https://cdn.sanity.io/images/3ugk85nk/production/2d0b896006ad463b49c28aaac14f31e00e32cfab-250x250.png"
    _documentation_url = "https://docs.prefect.io/api-ref/prefect/infrastructure/#prefect.infrastructure.KubernetesJob"

    type: Literal["kubernetes-job"] = Field(
        default="kubernetes-job", description="The type of infrastructure."
    )
    # shortcuts for the most common user-serviceable settings
    image: Optional[str] = Field(
        default=None,
        description=(
            "The image reference of a container image to use for the job, for example,"
            " `docker.io/prefecthq/prefect:2-latest`.The behavior is as described in"
            " the Kubernetes documentation and uses the latest version of Prefect by"
            " default, unless an image is already present in a provided job manifest."
        ),
    )
    namespace: Optional[str] = Field(
        default=None,
        description=(
            "The Kubernetes namespace to use for this job. Defaults to 'default' "
            "unless a namespace is already present in a provided job manifest."
        ),
    )
    service_account_name: Optional[str] = Field(
        default=None, description="The Kubernetes service account to use for this job."
    )
    image_pull_policy: Optional[KubernetesImagePullPolicy] = Field(
        default=None,
        description="The Kubernetes image pull policy to use for job containers.",
    )

    # connection to a cluster
    cluster_config: Optional[KubernetesClusterConfig] = Field(
        default=None, description="The Kubernetes cluster config to use for this job."
    )

    # settings allowing full customization of the Job
    job: KubernetesManifest = Field(
        default_factory=lambda: KubernetesJob.base_job_manifest(),
        description="The base manifest for the Kubernetes Job.",
        title="Base Job Manifest",
    )
    customizations: JsonPatch = Field(
        default_factory=lambda: JsonPatch([]),
        description="A list of JSON 6902 patches to apply to the base Job manifest.",
    )

    # controls the behavior of execution
    job_watch_timeout_seconds: Optional[int] = Field(
        default=None,
        description=(
            "Number of seconds to wait for the job to complete before marking it as"
            " crashed. Defaults to `None`, which means no timeout will be enforced."
        ),
    )
    pod_watch_timeout_seconds: int = Field(
        default=60,
        description="Number of seconds to watch for pod creation before timing out.",
    )
    stream_output: bool = Field(
        default=True,
        description=(
            "If set, output will be streamed from the job to local standard output."
        ),
    )
    finished_job_ttl: Optional[int] = Field(
        default=None,
        description=(
            "The number of seconds to retain jobs after completion. If set, finished"
            " jobs will be cleaned up by Kubernetes after the given delay. If None"
            " (default), jobs will need to be manually removed."
        ),
    )

    # internal-use only right now
    _api_dns_name: Optional[str] = None  # Replaces 'localhost' in API URL

    _block_type_name = "Kubernetes Job"

    @validator("job")
    def ensure_job_includes_all_required_components(cls, value: KubernetesManifest):
        patch = JsonPatch.from_diff(value, cls.base_job_manifest())
        missing_paths = sorted([op["path"] for op in patch if op["op"] == "add"])
        if missing_paths:
            raise ValueError(
                "Job is missing required attributes at the following paths: "
                f"{', '.join(missing_paths)}"
            )
        return value

    @validator("job")
    def ensure_job_has_compatible_values(cls, value: KubernetesManifest):
        patch = JsonPatch.from_diff(value, cls.base_job_manifest())
        incompatible = sorted(
            [
                f"{op['path']} must have value {op['value']!r}"
                for op in patch
                if op["op"] == "replace"
            ]
        )
        if incompatible:
            raise ValueError(
                "Job has incompatible values for the following attributes: "
                f"{', '.join(incompatible)}"
            )
        return value

    @validator("customizations", pre=True)
    def cast_customizations_to_a_json_patch(
        cls, value: Union[List[Dict], JsonPatch, str]
    ) -> JsonPatch:
        if isinstance(value, list):
            return JsonPatch(value)
        elif isinstance(value, str):
            try:
                return JsonPatch(json.loads(value))
            except json.JSONDecodeError as exc:
                raise ValueError(
                    f"Unable to parse customizations as JSON: {value}. Please make sure"
                    " that the provided value is a valid JSON string."
                ) from exc
        return value

    @root_validator
    def default_namespace(cls, values):
        job = values.get("job")

        namespace = values.get("namespace")
        job_namespace = job["metadata"].get("namespace") if job else None

        if not namespace and not job_namespace:
            values["namespace"] = "default"

        return values

    @root_validator
    def default_image(cls, values):
        job = values.get("job")
        image = values.get("image")
        job_image = (
            job["spec"]["template"]["spec"]["containers"][0].get("image")
            if job
            else None
        )

        if not image and not job_image:
            values["image"] = get_prefect_image_name()

        return values

    # Support serialization of the 'JsonPatch' type
    class Config:
        arbitrary_types_allowed = True
        json_encoders = {JsonPatch: lambda p: p.patch}

    def dict(self, *args, **kwargs) -> Dict:
        d = super().dict(*args, **kwargs)
        d["customizations"] = self.customizations.patch
        return d

    @classmethod
    def base_job_manifest(cls) -> KubernetesManifest:
        """Produces the bare minimum allowed Job manifest"""
        return {
            "apiVersion": "batch/v1",
            "kind": "Job",
            "metadata": {"labels": {}},
            "spec": {
                "template": {
                    "spec": {
                        "parallelism": 1,
                        "completions": 1,
                        "restartPolicy": "Never",
                        "containers": [
                            {
                                "name": "prefect-job",
                                "env": [],
                            }
                        ],
                    }
                }
            },
        }

    # Note that we're using the yaml package to load both YAML and JSON files below.
    # This works because YAML is a strict superset of JSON:
    #
    #   > The YAML 1.23 specification was published in 2009. Its primary focus was
    #   > making YAML a strict superset of JSON. It also removed many of the problematic
    #   > implicit typing recommendations.
    #
    #   https://yaml.org/spec/1.2.2/#12-yaml-history

    @classmethod
    def job_from_file(cls, filename: str) -> KubernetesManifest:
        """Load a Kubernetes Job manifest from a YAML or JSON file."""
        with open(filename, "r", encoding="utf-8") as f:
            return yaml.load(f, yaml.SafeLoader)

    @classmethod
    def customize_from_file(cls, filename: str) -> JsonPatch:
        """Load an RFC 6902 JSON patch from a YAML or JSON file."""
        with open(filename, "r", encoding="utf-8") as f:
            return JsonPatch(yaml.load(f, yaml.SafeLoader))

    @sync_compatible
    async def run(
        self,
        task_status: Optional[anyio.abc.TaskStatus] = None,
    ) -> KubernetesJobResult:
        if not self.command:
            raise ValueError("Kubernetes job cannot be run with empty command.")

        self._configure_kubernetes_library_client()
        manifest = self.build_job()
        job = await run_sync_in_worker_thread(self._create_job, manifest)

        pid = await run_sync_in_worker_thread(self._get_infrastructure_pid, job)
        # Indicate that the job has started
        if task_status is not None:
            task_status.started(pid)

        # Monitor the job until completion
        status_code = await run_sync_in_worker_thread(
            self._watch_job, job.metadata.name
        )
        return KubernetesJobResult(identifier=pid, status_code=status_code)

    async def kill(self, infrastructure_pid: str, grace_seconds: int = 30):
        self._configure_kubernetes_library_client()
        job_cluster_uid, job_namespace, job_name = self._parse_infrastructure_pid(
            infrastructure_pid
        )

        if not job_namespace == self.namespace:
            raise InfrastructureNotAvailable(
                f"Unable to kill job {job_name!r}: The job is running in namespace "
                f"{job_namespace!r} but this block is configured to use "
                f"{self.namespace!r}."
            )

        current_cluster_uid = self._get_cluster_uid()
        if job_cluster_uid != current_cluster_uid:
            raise InfrastructureNotAvailable(
                f"Unable to kill job {job_name!r}: The job is running on another "
                "cluster."
            )

        with self.get_batch_client() as batch_client:
            try:
                batch_client.delete_namespaced_job(
                    name=job_name,
                    namespace=job_namespace,
                    grace_period_seconds=grace_seconds,
                    # Foreground propagation deletes dependent objects before deleting owner objects.
                    # This ensures that the pods are cleaned up before the job is marked as deleted.
                    # See: https://kubernetes.io/docs/concepts/architecture/garbage-collection/#foreground-deletion
                    propagation_policy="Foreground",
                )
            except kubernetes.client.exceptions.ApiException as exc:
                if exc.status == 404:
                    raise InfrastructureNotFound(
                        f"Unable to kill job {job_name!r}: The job was not found."
                    ) from exc
                else:
                    raise

    def preview(self):
        return yaml.dump(self.build_job())

    def build_job(self) -> KubernetesManifest:
        """Builds the Kubernetes Job Manifest"""
        job_manifest = copy.copy(self.job)
        job_manifest = self._shortcut_customizations().apply(job_manifest)
        job_manifest = self.customizations.apply(job_manifest)
        return job_manifest

    @contextmanager
    def get_batch_client(self) -> Generator["BatchV1Api", None, None]:
        with kubernetes.client.ApiClient() as client:
            try:
                yield kubernetes.client.BatchV1Api(api_client=client)
            finally:
                client.rest_client.pool_manager.clear()

    @contextmanager
    def get_client(self) -> Generator["CoreV1Api", None, None]:
        with kubernetes.client.ApiClient() as client:
            try:
                yield kubernetes.client.CoreV1Api(api_client=client)
            finally:
                client.rest_client.pool_manager.clear()

    def _get_infrastructure_pid(self, job: "V1Job") -> str:
        """
        Generates a Kubernetes infrastructure PID.

        The PID is in the format: "<cluster uid>:<namespace>:<job name>".
        """
        cluster_uid = self._get_cluster_uid()
        pid = f"{cluster_uid}:{self.namespace}:{job.metadata.name}"
        return pid

    def _parse_infrastructure_pid(
        self, infrastructure_pid: str
    ) -> Tuple[str, str, str]:
        """
        Parse a Kubernetes infrastructure PID into its component parts.

        Returns a cluster UID, namespace, and job name.
        """
        cluster_uid, namespace, job_name = infrastructure_pid.split(":", 2)
        return cluster_uid, namespace, job_name

    def _get_cluster_uid(self) -> str:
        """
        Gets a unique id for the current cluster being used.

        There is no real unique identifier for a cluster. However, the `kube-system`
        namespace is immutable and has a persistence UID that we use instead.

        PREFECT_KUBERNETES_CLUSTER_UID can be set in cases where the `kube-system`
        namespace cannot be read e.g. when a cluster role cannot be created. If set,
        this variable will be used and we will not attempt to read the `kube-system`
        namespace.

        See https://github.com/kubernetes/kubernetes/issues/44954
        """
        # Default to an environment variable
        env_cluster_uid = os.environ.get("PREFECT_KUBERNETES_CLUSTER_UID")
        if env_cluster_uid:
            return env_cluster_uid

        # Read the UID from the cluster namespace
        with self.get_client() as client:
            namespace = client.read_namespace("kube-system")
        cluster_uid = namespace.metadata.uid

        return cluster_uid

    def _configure_kubernetes_library_client(self) -> None:
        """
        Set the correct kubernetes client configuration.

        WARNING: This action is not threadsafe and may override the configuration
                  specified by another `KubernetesJob` instance.
        """
        # TODO: Investigate returning a configured client so calls on other threads
        #       will not invalidate the config needed here

        # if a k8s cluster block is provided to the flow runner, use that
        if self.cluster_config:
            self.cluster_config.configure_client()
        else:
            # If no block specified, try to load Kubernetes configuration within a cluster. If that doesn't
            # work, try to load the configuration from the local environment, allowing
            # any further ConfigExceptions to bubble up.
            try:
                kubernetes.config.load_incluster_config()
            except kubernetes.config.ConfigException:
                kubernetes.config.load_kube_config()

    def _shortcut_customizations(self) -> JsonPatch:
        """Produces the JSON 6902 patch for the most commonly used customizations, like
        image and namespace, which we offer as top-level parameters (with sensible
        default values)"""
        shortcuts = []

        if self.namespace:
            shortcuts.append(
                {
                    "op": "add",
                    "path": "/metadata/namespace",
                    "value": self.namespace,
                }
            )

        if self.image:
            shortcuts.append(
                {
                    "op": "add",
                    "path": "/spec/template/spec/containers/0/image",
                    "value": self.image,
                }
            )

        shortcuts += [
            {
                "op": "add",
                "path": (
                    f"/metadata/labels/{self._slugify_label_key(key).replace('/', '~1', 1)}"
                ),
                "value": self._slugify_label_value(value),
            }
            for key, value in self.labels.items()
        ]

        shortcuts += [
            {
                "op": "add",
                "path": "/spec/template/spec/containers/0/env/-",
                "value": {"name": key, "value": value},
            }
            for key, value in self._get_environment_variables().items()
        ]

        if self.image_pull_policy:
            shortcuts.append(
                {
                    "op": "add",
                    "path": "/spec/template/spec/containers/0/imagePullPolicy",
                    "value": self.image_pull_policy.value,
                }
            )

        if self.service_account_name:
            shortcuts.append(
                {
                    "op": "add",
                    "path": "/spec/template/spec/serviceAccountName",
                    "value": self.service_account_name,
                }
            )

        if self.finished_job_ttl is not None:
            shortcuts.append(
                {
                    "op": "add",
                    "path": "/spec/ttlSecondsAfterFinished",
                    "value": self.finished_job_ttl,
                }
            )

        if self.command:
            shortcuts.append(
                {
                    "op": "add",
                    "path": "/spec/template/spec/containers/0/args",
                    "value": self.command,
                }
            )

        if self.name:
            shortcuts.append(
                {
                    "op": "add",
                    "path": "/metadata/generateName",
                    "value": self._slugify_name(self.name) + "-",
                }
            )
        else:
            # Generate name is required
            shortcuts.append(
                {
                    "op": "add",
                    "path": "/metadata/generateName",
                    "value": (
                        "prefect-job-"
                        # We generate a name using a hash of the primary job settings
                        + stable_hash(
                            *self.command,
                            *self.env.keys(),
                            *[v for v in self.env.values() if v is not None],
                        )
                        + "-"
                    ),
                }
            )

        return JsonPatch(shortcuts)

    def _get_job(self, job_id: str) -> Optional["V1Job"]:
        with self.get_batch_client() as batch_client:
            try:
                job = batch_client.read_namespaced_job(job_id, self.namespace)
            except kubernetes.client.exceptions.ApiException:
                self.logger.error(f"Job {job_id!r} was removed.", exc_info=True)
                return None
            return job

    def _get_job_pod(self, job_name: str) -> "V1Pod":
        """Get the first running pod for a job."""

        # Wait until we find a running pod for the job
        # if `pod_watch_timeout_seconds` is None, no timeout will be enforced
        watch = kubernetes.watch.Watch()
        self.logger.debug(f"Job {job_name!r}: Starting watch for pod start...")
        last_phase = None
        with self.get_client() as client:
            for event in watch.stream(
                func=client.list_namespaced_pod,
                namespace=self.namespace,
                label_selector=f"job-name={job_name}",
                timeout_seconds=self.pod_watch_timeout_seconds,
            ):
                phase = event["object"].status.phase
                if phase != last_phase:
                    self.logger.info(f"Job {job_name!r}: Pod has status {phase!r}.")

                if phase != "Pending":
                    watch.stop()
                    return event["object"]

                last_phase = phase

        self.logger.error(f"Job {job_name!r}: Pod never started.")

    def _watch_job(self, job_name: str) -> int:
        """
        Watch a job.

        Return the final status code of the first container.
        """
        self.logger.debug(f"Job {job_name!r}: Monitoring job...")

        job = self._get_job(job_name)
        if not job:
            return -1

        pod = self._get_job_pod(job_name)
        if not pod:
            return -1

        # Calculate the deadline before streaming output
        deadline = (
            (time.monotonic() + self.job_watch_timeout_seconds)
            if self.job_watch_timeout_seconds is not None
            else None
        )

        if self.stream_output:
            with self.get_client() as client:
                logs = client.read_namespaced_pod_log(
                    pod.metadata.name,
                    self.namespace,
                    follow=True,
                    _preload_content=False,
                    container="prefect-job",
                )
                try:
                    for log in logs.stream():
                        print(log.decode().rstrip())

                        # Check if we have passed the deadline and should stop streaming
                        # logs
                        remaining_time = (
                            deadline - time.monotonic() if deadline else None
                        )
                        if deadline and remaining_time <= 0:
                            break

                except Exception:
                    self.logger.warning(
                        (
                            "Error occurred while streaming logs - "
                            "Job will continue to run but logs will "
                            "no longer be streamed to stdout."
                        ),
                        exc_info=True,
                    )

        with self.get_batch_client() as batch_client:
            # Check if the job is completed before beginning a watch
            job = batch_client.read_namespaced_job(
                name=job_name, namespace=self.namespace
            )
            completed = job.status.completion_time is not None

            while not completed:
                remaining_time = (
                    math.ceil(deadline - time.monotonic()) if deadline else None
                )
                if deadline and remaining_time <= 0:
                    self.logger.error(
                        f"Job {job_name!r}: Job did not complete within "
                        f"timeout of {self.job_watch_timeout_seconds}s."
                    )
                    return -1

                watch = kubernetes.watch.Watch()
                # The kubernetes library will disable retries if the timeout kwarg is
                # present regardless of the value so we do not pass it unless given
                # https://github.com/kubernetes-client/python/blob/84f5fea2a3e4b161917aa597bf5e5a1d95e24f5a/kubernetes/base/watch/watch.py#LL160
                timeout_seconds = (
                    {"timeout_seconds": remaining_time} if deadline else {}
                )

                for event in watch.stream(
                    func=batch_client.list_namespaced_job,
                    field_selector=f"metadata.name={job_name}",
                    namespace=self.namespace,
                    **timeout_seconds,
                ):
                    if event["type"] == "DELETED":
                        self.logger.error(f"Job {job_name!r}: Job has been deleted.")
                        completed = True
                    elif event["object"].status.completion_time:
                        if not event["object"].status.succeeded:
                            # Job failed, exit while loop and return pod exit code
                            self.logger.error(f"Job {job_name!r}: Job failed.")
                        completed = True
                    # Check if the job has reached its backoff limit
                    # and stop watching if it has
                    elif (
                        event["object"].spec.backoff_limit is not None
                        and event["object"].status.failed is not None
                        and event["object"].status.failed
                        > event["object"].spec.backoff_limit
                    ):
                        self.logger.error(
                            f"Job {job_name!r}: Job reached backoff limit."
                        )
                        completed = True
                    # If the job has no backoff limit, check if it has failed
                    # and stop watching if it has
                    elif (
                        not event["object"].spec.backoff_limit
                        and event["object"].status.failed
                    ):
                        completed = True

                    if completed:
                        watch.stop()
                        break

        with self.get_client() as core_client:
            # Get all pods for the job
            pods = core_client.list_namespaced_pod(
                namespace=self.namespace, label_selector=f"job-name={job_name}"
            )
            # Get the status for only the most recently used pod
            pods.items.sort(
                key=lambda pod: pod.metadata.creation_timestamp, reverse=True
            )
            most_recent_pod = pods.items[0] if pods.items else None
            first_container_status = (
                most_recent_pod.status.container_statuses[0]
                if most_recent_pod
                else None
            )
            if not first_container_status:
                self.logger.error(f"Job {job_name!r}: No pods found for job.")
                return -1

            # In some cases, such as spot instance evictions, the pod will be forcibly
            # terminated and not report a status correctly.
            elif (
                first_container_status.state is None
                or first_container_status.state.terminated is None
                or first_container_status.state.terminated.exit_code is None
            ):
                self.logger.error(
                    f"Could not determine exit code for {job_name!r}."
                    "Exit code will be reported as -1."
                    "First container status info did not report an exit code."
                    f"First container info: {first_container_status}."
                )
                return -1

        return first_container_status.state.terminated.exit_code

    def _create_job(self, job_manifest: KubernetesManifest) -> "V1Job":
        """
        Given a Kubernetes Job Manifest, create the Job on the configured Kubernetes
        cluster and return its name.
        """
        with self.get_batch_client() as batch_client:
            job = batch_client.create_namespaced_job(self.namespace, job_manifest)
        return job

    def _slugify_name(self, name: str) -> str:
        """
        Slugify text for use as a name.

        Keeps only alphanumeric characters and dashes, and caps the length
        of the slug at 45 chars.

        The 45 character length allows room for the k8s utility
        "generateName" to generate a unique name from the slug while
        keeping the total length of a name below 63 characters, which is
        the limit for e.g. label names that follow RFC 1123 (hostnames) and
        RFC 1035 (domain names).

        Args:
            name: The name of the job

        Returns:
            the slugified job name
        """
        slug = slugify(
            name,
            max_length=45,  # Leave enough space for generateName
            regex_pattern=r"[^a-zA-Z0-9-]+",
        )

        # TODO: Handle the case that the name is an empty string after being
        # slugified.

        return slug

    def _slugify_label_key(self, key: str) -> str:
        """
        Slugify text for use as a label key.

        Keys are composed of an optional prefix and name, separated by a slash (/).

        Keeps only alphanumeric characters, dashes, underscores, and periods.
        Limits the length of the label prefix to 253 characters.
        Limits the length of the label name to 63 characters.

        See https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/#syntax-and-character-set

        Args:
            key: The label key

        Returns:
            The slugified label key
        """
        if "/" in key:
            prefix, name = key.split("/", maxsplit=1)
        else:
            prefix = None
            name = key

        name_slug = (
            slugify(name, max_length=63, regex_pattern=r"[^a-zA-Z0-9-_.]+").strip(
                "_-."  # Must start or end with alphanumeric characters
            )
            or name
        )
        # Fallback to the original if we end up with an empty slug, this will allow
        # Kubernetes to throw the validation error

        if prefix:
            prefix_slug = (
                slugify(
                    prefix,
                    max_length=253,
                    regex_pattern=r"[^a-zA-Z0-9-\.]+",
                ).strip(
                    "_-."
                )  # Must start or end with alphanumeric characters
                or prefix
            )

            return f"{prefix_slug}/{name_slug}"

        return name_slug

    def _slugify_label_value(self, value: str) -> str:
        """
        Slugify text for use as a label value.

        Keeps only alphanumeric characters, dashes, underscores, and periods.
        Limits the total length of label text to below 63 characters.

        See https://kubernetes.io/docs/concepts/overview/working-with-objects/labels/#syntax-and-character-set

        Args:
            value: The text for the label

        Returns:
            The slugified value
        """
        slug = (
            slugify(value, max_length=63, regex_pattern=r"[^a-zA-Z0-9-_\.]+").strip(
                "_-."  # Must start or end with alphanumeric characters
            )
            or value
        )
        # Fallback to the original if we end up with an empty slug, this will allow
        # Kubernetes to throw the validation error

        return slug

    def _get_environment_variables(self):
        # If the API URL has been set by the base environment rather than the by the
        # user, update the value to ensure connectivity when using a bridge network by
        # updating local connections to use the internal host
        env = {**self._base_environment(), **self.env}

        if (
            "PREFECT_API_URL" in env
            and "PREFECT_API_URL" not in self.env
            and self._api_dns_name
        ):
            env["PREFECT_API_URL"] = (
                env["PREFECT_API_URL"]
                .replace("localhost", self._api_dns_name)
                .replace("127.0.0.1", self._api_dns_name)
            )

        # Drop null values allowing users to "unset" variables
        return {key: value for key, value in env.items() if value is not None}

base_job_manifest classmethod

Produces the bare minimum allowed Job manifest

Source code in prefect/infrastructure/kubernetes.py

@classmethod
def base_job_manifest(cls) -> KubernetesManifest:
    """Produces the bare minimum allowed Job manifest"""
    return {
        "apiVersion": "batch/v1",
        "kind": "Job",
        "metadata": {"labels": {}},
        "spec": {
            "template": {
                "spec": {
                    "parallelism": 1,
                    "completions": 1,
                    "restartPolicy": "Never",
                    "containers": [
                        {
                            "name": "prefect-job",
                            "env": [],
                        }
                    ],
                }
            }
        },
    }

build_job

Builds the Kubernetes Job Manifest

Source code in prefect/infrastructure/kubernetes.py

def build_job(self) -> KubernetesManifest:
    """Builds the Kubernetes Job Manifest"""
    job_manifest = copy.copy(self.job)
    job_manifest = self._shortcut_customizations().apply(job_manifest)
    job_manifest = self.customizations.apply(job_manifest)
    return job_manifest

customize_from_file classmethod

Load an RFC 6902 JSON patch from a YAML or JSON file.

Source code in prefect/infrastructure/kubernetes.py

@classmethod
def customize_from_file(cls, filename: str) -> JsonPatch:
    """Load an RFC 6902 JSON patch from a YAML or JSON file."""
    with open(filename, "r", encoding="utf-8") as f:
        return JsonPatch(yaml.load(f, yaml.SafeLoader))

job_from_file classmethod

Load a Kubernetes Job manifest from a YAML or JSON file.

Source code in prefect/infrastructure/kubernetes.py

@classmethod
def job_from_file(cls, filename: str) -> KubernetesManifest:
    """Load a Kubernetes Job manifest from a YAML or JSON file."""
    with open(filename, "r", encoding="utf-8") as f:
        return yaml.load(f, yaml.SafeLoader)

KubernetesJobResult

Bases: InfrastructureResult

Contains information about the final state of a completed Kubernetes Job

Source code in prefect/infrastructure/kubernetes.py

class KubernetesJobResult(InfrastructureResult):
    """Contains information about the final state of a completed Kubernetes Job"""

Process

Bases: Infrastructure

Run a command in a new process.

Current environment variables and Prefect settings will be included in the created process. Configured environment variables will override any current environment variables.

Attributes:

Name	Type	Description
command		A list of strings specifying the command to run in the container to start the flow run. In most cases you should not override this.
env		Environment variables to set for the new process.
labels		Labels for the process. Labels are for metadata purposes only and cannot be attached to the process itself.
name		A name for the process. For display purposes only.
stream_output	bool	Whether to stream output to local stdout.
working_dir	Union[str, Path, None]	Working directory where the process should be opened. If not set, a tmp directory will be used.

Source code in prefect/infrastructure/process.py

class Process(Infrastructure):
    """
    Run a command in a new process.

    Current environment variables and Prefect settings will be included in the created
    process. Configured environment variables will override any current environment
    variables.

    Attributes:
        command: A list of strings specifying the command to run in the container to
            start the flow run. In most cases you should not override this.
        env: Environment variables to set for the new process.
        labels: Labels for the process. Labels are for metadata purposes only and
            cannot be attached to the process itself.
        name: A name for the process. For display purposes only.
        stream_output: Whether to stream output to local stdout.
        working_dir: Working directory where the process should be opened. If not set,
            a tmp directory will be used.
    """

    _logo_url = "https://cdn.sanity.io/images/3ugk85nk/production/356e6766a91baf20e1d08bbe16e8b5aaef4d8643-48x48.png"
    _documentation_url = "https://docs.prefect.io/concepts/infrastructure/#process"

    type: Literal["process"] = Field(
        default="process", description="The type of infrastructure."
    )
    stream_output: bool = Field(
        default=True,
        description=(
            "If set, output will be streamed from the process to local standard output."
        ),
    )
    working_dir: Union[str, Path, None] = Field(
        default=None,
        description=(
            "If set, the process will open within the specified path as the working"
            " directory. Otherwise, a temporary directory will be created."
        ),
    )  # Underlying accepted types are str, bytes, PathLike[str], None

    @sync_compatible
    async def run(
        self,
        task_status: anyio.abc.TaskStatus = None,
    ) -> "ProcessResult":
        if not self.command:
            raise ValueError("Process cannot be run with empty command.")

        _use_threaded_child_watcher()
        display_name = f" {self.name!r}" if self.name else ""

        # Open a subprocess to execute the flow run
        self.logger.info(f"Opening process{display_name}...")
        working_dir_ctx = (
            tempfile.TemporaryDirectory(suffix="prefect")
            if not self.working_dir
            else contextlib.nullcontext(self.working_dir)
        )
        with working_dir_ctx as working_dir:
            self.logger.debug(
                f"Process{display_name} running command: {' '.join(self.command)} in"
                f" {working_dir}"
            )

            # We must add creationflags to a dict so it is only passed as a function
            # parameter on Windows, because the presence of creationflags causes
            # errors on Unix even if set to None
            kwargs: Dict[str, object] = {}
            if sys.platform == "win32":
                kwargs["creationflags"] = subprocess.CREATE_NEW_PROCESS_GROUP

            process = await run_process(
                self.command,
                stream_output=self.stream_output,
                task_status=task_status,
                task_status_handler=_infrastructure_pid_from_process,
                env=self._get_environment_variables(),
                cwd=working_dir,
                **kwargs,
            )

        # Use the pid for display if no name was given
        display_name = display_name or f" {process.pid}"

        if process.returncode:
            help_message = None
            if process.returncode == -9:
                help_message = (
                    "This indicates that the process exited due to a SIGKILL signal. "
                    "Typically, this is either caused by manual cancellation or "
                    "high memory usage causing the operating system to "
                    "terminate the process."
                )
            if process.returncode == -15:
                help_message = (
                    "This indicates that the process exited due to a SIGTERM signal. "
                    "Typically, this is caused by manual cancellation."
                )
            elif process.returncode == 247:
                help_message = (
                    "This indicates that the process was terminated due to high "
                    "memory usage."
                )
            elif (
                sys.platform == "win32" and process.returncode == STATUS_CONTROL_C_EXIT
            ):
                help_message = (
                    "Process was terminated due to a Ctrl+C or Ctrl+Break signal. "
                    "Typically, this is caused by manual cancellation."
                )

            self.logger.error(
                f"Process{display_name} exited with status code: {process.returncode}"
                + (f"; {help_message}" if help_message else "")
            )
        else:
            self.logger.info(f"Process{display_name} exited cleanly.")

        return ProcessResult(
            status_code=process.returncode, identifier=str(process.pid)
        )

    async def kill(self, infrastructure_pid: str, grace_seconds: int = 30):
        hostname, pid = _parse_infrastructure_pid(infrastructure_pid)

        if hostname != socket.gethostname():
            raise InfrastructureNotAvailable(
                f"Unable to kill process {pid!r}: The process is running on a different"
                f" host {hostname!r}."
            )

        # In a non-windows environment first send a SIGTERM, then, after
        # `grace_seconds` seconds have passed subsequent send SIGKILL. In
        # Windows we use CTRL_BREAK_EVENT as SIGTERM is useless:
        # https://bugs.python.org/issue26350
        if sys.platform == "win32":
            try:
                os.kill(pid, signal.CTRL_BREAK_EVENT)
            except (ProcessLookupError, WindowsError):
                raise InfrastructureNotFound(
                    f"Unable to kill process {pid!r}: The process was not found."
                )
        else:
            try:
                os.kill(pid, signal.SIGTERM)
            except ProcessLookupError:
                raise InfrastructureNotFound(
                    f"Unable to kill process {pid!r}: The process was not found."
                )

            # Throttle how often we check if the process is still alive to keep
            # from making too many system calls in a short period of time.
            check_interval = max(grace_seconds / 10, 1)

            with anyio.move_on_after(grace_seconds):
                while True:
                    await anyio.sleep(check_interval)

                    # Detect if the process is still alive. If not do an early
                    # return as the process respected the SIGTERM from above.
                    try:
                        os.kill(pid, 0)
                    except ProcessLookupError:
                        return

            try:
                os.kill(pid, signal.SIGKILL)
            except OSError:
                # We shouldn't ever end up here, but it's possible that the
                # process ended right after the check above.
                return

    def preview(self):
        environment = self._get_environment_variables(include_os_environ=False)
        return " \\\n".join(
            [f"{key}={value}" for key, value in environment.items()]
            + [" ".join(self.command)]
        )

    def _get_environment_variables(self, include_os_environ: bool = True):
        os_environ = os.environ if include_os_environ else {}
        # The base environment must override the current environment or
        # the Prefect settings context may not be respected
        env = {**os_environ, **self._base_environment(), **self.env}

        # Drop null values allowing users to "unset" variables
        return {key: value for key, value in env.items() if value is not None}

    def _base_flow_run_command(self):
        return [get_sys_executable(), "-m", "prefect.engine"]

    def get_corresponding_worker_type(self):
        return "process"

    async def generate_work_pool_base_job_template(self):
        from prefect.workers.utilities import (
            get_default_base_job_template_for_infrastructure_type,
        )

        base_job_template = await get_default_base_job_template_for_infrastructure_type(
            self.get_corresponding_worker_type(),
        )
        assert (
            base_job_template is not None
        ), "Failed to generate default base job template for Process worker."
        for key, value in self.dict(exclude_unset=True, exclude_defaults=True).items():
            if key == "command":
                base_job_template["variables"]["properties"]["command"]["default"] = (
                    shlex.join(value)
                )
            elif key in [
                "type",
                "block_type_slug",
                "_block_document_id",
                "_block_document_name",
                "_is_anonymous",
            ]:
                continue
            elif key in base_job_template["variables"]["properties"]:
                base_job_template["variables"]["properties"][key]["default"] = value
            else:
                self.logger.warning(
                    f"Variable {key!r} is not supported by Process work pools."
                    " Skipping."
                )

        return base_job_template

ProcessResult

Bases: InfrastructureResult

Contains information about the final state of a completed process

Source code in prefect/infrastructure/process.py

class ProcessResult(InfrastructureResult):
    """Contains information about the final state of a completed process"""