adp.ingest.dataclasses.SMBSourceConfig

class adp.ingest.dataclasses.SMBSourceConfig(*, spark_read_options: Dict[str, Any] | None = None, file_read_settings: Dict[str, Any] | None = None, adls_file_pattern: str = '*', adls_file_anti_pattern: str | None = None, zip_password: str | None = None, raise_no_files_found_exception: bool | None = False, staging_path: str | None = None, username: str, password: str, root: str, smb_file_pattern: str = '*', auth_protocol: Literal['negotiate', 'ntlm', 'kerberos'] = 'ntlm', domain_controller: str | None = 'INS.LOCAL', remove_source_files: bool | None = False, read_subfolders: bool = False)

__init__(**data: Any) → None

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

Methods

__init__(**data)	Create a new model by parsing and validating input data from keyword arguments.
construct([_fields_set])
copy(*[, include, exclude, update, deep])	Returns a copy of the model.
dict(*[, include, exclude, by_alias, ...])
from_orm(obj)
json(*[, include, exclude, by_alias, ...])
model_construct([_fields_set])	Creates a new instance of the Model class with validated data.
model_copy(*[, update, deep])	!!! abstract "Usage Documentation"
model_dump(*[, mode, include, exclude, ...])	!!! abstract "Usage Documentation"
model_dump_json(*[, indent, ensure_ascii, ...])	!!! abstract "Usage Documentation"
model_json_schema(by_alias, ref_template, ...)	Generates a JSON schema for a model class.
model_parametrized_name(params)	Compute the class name for parametrizations of generic classes.
model_post_init(context, /)	Override this method to perform additional initialization after __init__ and model_construct.
model_rebuild(*[, force, raise_errors, ...])	Try to rebuild the pydantic-core schema for the model.
model_validate(obj, *[, strict, extra, ...])	Validate a pydantic model instance.
model_validate_json(json_data, *[, strict, ...])	!!! abstract "Usage Documentation"
model_validate_strings(obj, *[, strict, ...])	Validate the given object with string data against the Pydantic model.
parse_file(path, *[, content_type, ...])
parse_obj(obj)
parse_raw(b, *[, content_type, encoding, ...])
schema([by_alias, ref_template])
schema_json(*[, by_alias, ref_template])
update_forward_refs(**localns)
validate(value)
validate_auth_protocol(auth_protocol)	Lowercase auth_protocol.

Attributes

model_computed_fields
model_config	Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].
model_extra	Get extra fields set during validation.
model_fields
model_fields_set	Returns the set of fields that have been explicitly set on this model instance.
server	Returns part of the config.root that starts with \ and the first time it sees either a BACKSLASH
username
password
root
smb_file_pattern
auth_protocol
domain_controller
remove_source_files
read_subfolders
file_read_settings
spark_read_options
adls_file_pattern
adls_file_anti_pattern
zip_password
raise_no_files_found_exception
staging_path

model_config = {}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

property server: str

Returns part of the config.root that starts with \ and the first time it sees either a BACKSLASH

classmethod validate_auth_protocol(auth_protocol: str) → str

Lowercase auth_protocol.