SearchSearchAccountsBody

class pydelfini.delfini_core.models.search_search_accounts_body.SearchSearchAccountsBody(query, account_bmeta=Unset, types=Unset)

Bases: object

SearchSearchAccountsBody model

Parameters:

• query (str)

• account_bmeta (Unset | str)

• types (Unset | List[SearchSearchAccountsBodyTypesItem])

query

Type:

str

account_bmeta

Filter by account metadata.

Provide a base64-encoded JSON mapping conformant to the following JSON schema:

schema:

type: object additionalProperties:

anyOf:

• type: string

• type: array items:

  type: string

This includes any combination of {“x-meta”: “foo”} and {“x-meta-2”: [“foo”, “bar”]}:

• In the single string case, the provided string must match exactly to the value in the metadata field.

• In the case of an array of strings, the metadata field is assumed to contain a JSON-encoded array of strings, and only one of the strings in the provided array needs to match one of the strings in the metadata field.

Type:

Union[Unset, str]

types

Type:

Union[Unset, List[SearchSearchAccountsBodyTypesItem]]

Attributes

query
account_bmeta
types

classmethod from_dict(src_dict)

Create an instance of SearchSearchAccountsBody from a dict

Parameters:

src_dict (Dict[str, Any])

Return type:

T

to_dict()

Convert to a dict

Return type:

Dict[str, Any]