flytekit.extend.SerializationSettings#

class flytekit.extend.SerializationSettings(image_config, project=None, domain=None, version=None, env=None, git_repo=None, python_interpreter='/opt/venv/bin/python3', flytekit_virtualenv_root=None, fast_serialization_settings=None)[source]#

These settings are provided while serializing a workflow and task, before registration. This is required to get runtime information at serialization time, as well as some defaults.

TODO: ImageConfig, python_interpreter, venv_root, fast_serialization_settings.destination_dir should be combined.

Parameters

image_config (flytekit.configuration.ImageConfig) –
project (Optional[str]) –
domain (Optional[str]) –
version (Optional[str]) –
env (Optional[Dict[str, str]]) –
git_repo (Optional[str]) –
python_interpreter (str) –
flytekit_virtualenv_root (Optional[str]) –
fast_serialization_settings (Optional[flytekit.configuration.FastSerializationSettings]) –

Return type

None

project#

The project (if any) with which to register entities under.

Type: str

domain#

The domain (if any) with which to register entities under.

Type: str

version#

The version (if any) with which to register entities under.

Type: str

image_config#

The image config used to define task container images.

Type: ImageConfig

env#

Environment variables injected into task container definitions.

Type: Optional[Dict[str, str]]

flytekit_virtualenv_root#

During out of container serialize the absolute path of the flytekit virtualenv at serialization time won’t match the in-container value at execution time. This optional value is used to provide the in-container virtualenv path

Type: Optional[str]

python_interpreter#

The python executable to use. This is used for spark tasks in out of container execution.

Type: Optional[str]

entrypoint_settings#

Information about the command, path and version of the entrypoint program.

Type: Optional[EntrypointSettings]

fast_serialization_settings#

If the code is being serialized so that it can be fast registered (and thus omit building a Docker image) this object contains additional parameters for serialization.

Type: Optional[FastSerializationSettings]

__init__(image_config, project=None, domain=None, version=None, env=None, git_repo=None, python_interpreter='/opt/venv/bin/python3', flytekit_virtualenv_root=None, fast_serialization_settings=None)#

Parameters

image_config (flytekit.configuration.ImageConfig) –
project (Optional[str]) –
domain (Optional[str]) –
version (Optional[str]) –
env (Optional[Dict[str, str]]) –
git_repo (Optional[str]) –
python_interpreter (str) –
flytekit_virtualenv_root (Optional[str]) –
fast_serialization_settings (Optional[flytekit.configuration.FastSerializationSettings]) –

Return type

None

Methods

`__init__`(image_config[, project, domain, ...])
`default_entrypoint_settings`(interpreter_path)	Assumes the entrypoint is installed in a virtual-environment where the interpreter is
`for_image`(image, version[, project, domain, ...])
`from_dict`(kvs, *[, infer_missing])
`from_json`(s, *[, parse_float, parse_int, ...])
`from_transport`(s)
`new_builder`()	Creates a `SerializationSettings.Builder` that copies the existing serialization settings parameters and allows for customization.
`schema`(*[, infer_missing, only, exclude, ...])
`should_fast_serialize`()	Whether or not the serialization settings specify that entities should be serialized for fast registration.
`to_dict`([encode_json])
`to_json`(*[, skipkeys, ensure_ascii, ...])
`venv_root_from_interpreter`(interpreter_path)	Computes the path of the virtual environment root, based on the passed in python interpreter path for example /opt/venv/bin/python3 -> /opt/venv
`with_serialized_context`()	Use this method to create a new SerializationSettings that has an environment variable set with the SerializedContext This is useful in transporting SerializedContext to serialized and registered tasks.

Attributes

`domain`
`entrypoint_settings`
`env`
`fast_serialization_settings`
`flytekit_virtualenv_root`
`git_repo`
`project`
`python_interpreter`
`serialized_context`	returns the serialization context as a base64encoded, gzip compressed, json strinnn
`version`
`image_config`