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add files from generation
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‎src/python/vectorize_client/api/workspaces_api.py‎

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‎src/python/vectorize_client/models/anthropic.py‎

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# coding: utf-8
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"""
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Vectorize API
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API for Vectorize services (Beta)
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The version of the OpenAPI document: 0.1.2
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Generated by OpenAPI Generator (https://openapi-generator.tech)
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Do not edit the class manually.
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""" # noqa: E501
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from __future__ import annotations
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import pprint
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import re # noqa: F401
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import json
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from pydantic import BaseModel, ConfigDict, Field, StrictStr, field_validator
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from typing import Any, ClassVar, Dict, List
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from vectorize_client.models.anthropic_auth_config import ANTHROPICAuthConfig
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from typing import Optional, Set
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from typing_extensions import Self
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class Anthropic(BaseModel):
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"""
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Anthropic
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""" # noqa: E501
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name: StrictStr = Field(description="Name of the connector")
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type: StrictStr = Field(description="Must be \"ANTHROPIC\"")
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config: ANTHROPICAuthConfig
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__properties: ClassVar[List[str]] = ["name", "type", "config"]
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@field_validator('type')
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def type_validate_enum(cls, value):
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"""Validates the enum"""
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if value not in set(['ANTHROPIC']):
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raise ValueError("must be one of enum values ('ANTHROPIC')")
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return value
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model_config = ConfigDict(
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populate_by_name=True,
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validate_assignment=True,
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protected_namespaces=(),
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)
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def to_str(self) -> str:
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"""Returns the string representation of the model using alias"""
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return pprint.pformat(self.model_dump(by_alias=True))
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def to_json(self) -> str:
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"""Returns the JSON representation of the model using alias"""
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# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
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return json.dumps(self.to_dict())
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@classmethod
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def from_json(cls, json_str: str) -> Optional[Self]:
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"""Create an instance of Anthropic from a JSON string"""
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return cls.from_dict(json.loads(json_str))
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def to_dict(self) -> Dict[str, Any]:
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"""Return the dictionary representation of the model using alias.
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This has the following differences from calling pydantic's
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`self.model_dump(by_alias=True)`:
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* `None` is only added to the output dict for nullable fields that
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were set at model initialization. Other fields with value `None`
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are ignored.
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"""
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excluded_fields: Set[str] = set([
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])
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_dict = self.model_dump(
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by_alias=True,
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exclude=excluded_fields,
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exclude_none=True,
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)
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# override the default output from pydantic by calling `to_dict()` of config
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if self.config:
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_dict['config'] = self.config.to_dict()
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return _dict
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@classmethod
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def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
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"""Create an instance of Anthropic from a dict"""
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if obj is None:
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return None
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if not isinstance(obj, dict):
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return cls.model_validate(obj)
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_obj = cls.model_validate({
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"name": obj.get("name"),
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"type": obj.get("type"),
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"config": ANTHROPICAuthConfig.from_dict(obj["config"]) if obj.get("config") is not None else None
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})
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return _obj
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‎src/python/vectorize_client/models/anthropic1.py‎

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# coding: utf-8
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"""
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Vectorize API
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API for Vectorize services (Beta)
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The version of the OpenAPI document: 0.1.2
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Generated by OpenAPI Generator (https://openapi-generator.tech)
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Do not edit the class manually.
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""" # noqa: E501
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from __future__ import annotations
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import pprint
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import re # noqa: F401
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import json
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from pydantic import BaseModel, ConfigDict, Field
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from typing import Any, ClassVar, Dict, List, Optional
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from typing import Optional, Set
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from typing_extensions import Self
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class Anthropic1(BaseModel):
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"""
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Anthropic1
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""" # noqa: E501
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config: Optional[Dict[str, Any]] = Field(default=None, description="Configuration updates")
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__properties: ClassVar[List[str]] = ["config"]
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model_config = ConfigDict(
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populate_by_name=True,
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validate_assignment=True,
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protected_namespaces=(),
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)
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def to_str(self) -> str:
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"""Returns the string representation of the model using alias"""
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return pprint.pformat(self.model_dump(by_alias=True))
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def to_json(self) -> str:
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"""Returns the JSON representation of the model using alias"""
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# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
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return json.dumps(self.to_dict())
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@classmethod
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def from_json(cls, json_str: str) -> Optional[Self]:
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"""Create an instance of Anthropic1 from a JSON string"""
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return cls.from_dict(json.loads(json_str))
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def to_dict(self) -> Dict[str, Any]:
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"""Return the dictionary representation of the model using alias.
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This has the following differences from calling pydantic's
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`self.model_dump(by_alias=True)`:
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* `None` is only added to the output dict for nullable fields that
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were set at model initialization. Other fields with value `None`
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are ignored.
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"""
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excluded_fields: Set[str] = set([
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])
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_dict = self.model_dump(
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by_alias=True,
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exclude=excluded_fields,
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exclude_none=True,
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)
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return _dict
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@classmethod
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def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
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"""Create an instance of Anthropic1 from a dict"""
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if obj is None:
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return None
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if not isinstance(obj, dict):
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return cls.model_validate(obj)
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_obj = cls.model_validate({
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"config": obj.get("config")
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})
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return _obj
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‎src/python/vectorize_client/models/anthropic_auth_config.py‎

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# coding: utf-8
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"""
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Vectorize API
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API for Vectorize services (Beta)
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The version of the OpenAPI document: 0.1.2
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Generated by OpenAPI Generator (https://openapi-generator.tech)
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Do not edit the class manually.
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""" # noqa: E501
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from __future__ import annotations
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import pprint
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import re # noqa: F401
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import json
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from pydantic import BaseModel, ConfigDict, Field, field_validator
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from typing import Any, ClassVar, Dict, List
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from typing_extensions import Annotated
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from typing import Optional, Set
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from typing_extensions import Self
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class ANTHROPICAuthConfig(BaseModel):
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"""
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Authentication configuration for Anthropic
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""" # noqa: E501
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key: Annotated[str, Field(strict=True)] = Field(description="API Key. Example: Enter your Anthropic API Key")
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__properties: ClassVar[List[str]] = ["key"]
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@field_validator('key')
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def key_validate_regular_expression(cls, value):
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"""Validates the regular expression"""
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if not re.match(r"^\S.*\S$|^\S$", value):
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raise ValueError(r"must validate the regular expression /^\S.*\S$|^\S$/")
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return value
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model_config = ConfigDict(
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populate_by_name=True,
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validate_assignment=True,
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protected_namespaces=(),
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)
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def to_str(self) -> str:
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"""Returns the string representation of the model using alias"""
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return pprint.pformat(self.model_dump(by_alias=True))
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def to_json(self) -> str:
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"""Returns the JSON representation of the model using alias"""
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# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
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return json.dumps(self.to_dict())
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@classmethod
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def from_json(cls, json_str: str) -> Optional[Self]:
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"""Create an instance of ANTHROPICAuthConfig from a JSON string"""
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return cls.from_dict(json.loads(json_str))
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def to_dict(self) -> Dict[str, Any]:
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"""Return the dictionary representation of the model using alias.
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This has the following differences from calling pydantic's
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`self.model_dump(by_alias=True)`:
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* `None` is only added to the output dict for nullable fields that
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were set at model initialization. Other fields with value `None`
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are ignored.
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"""
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excluded_fields: Set[str] = set([
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])
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_dict = self.model_dump(
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by_alias=True,
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exclude=excluded_fields,
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exclude_none=True,
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)
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return _dict
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@classmethod
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def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
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"""Create an instance of ANTHROPICAuthConfig from a dict"""
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if obj is None:
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return None
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if not isinstance(obj, dict):
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return cls.model_validate(obj)
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_obj = cls.model_validate({
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"key": obj.get("key")
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})
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return _obj
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‎src/python/vectorize_client/models/get_workspace_by_id_response.py‎

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# coding: utf-8
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"""
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Vectorize API
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API for Vectorize services (Beta)
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The version of the OpenAPI document: 0.1.2
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Generated by OpenAPI Generator (https://openapi-generator.tech)
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Do not edit the class manually.
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""" # noqa: E501
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from __future__ import annotations
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import pprint
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import re # noqa: F401
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import json
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from pydantic import BaseModel, ConfigDict, Field, StrictStr
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from typing import Any, ClassVar, Dict, List, Optional
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from typing import Optional, Set
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from typing_extensions import Self
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class GetWorkspaceByIdResponse(BaseModel):
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"""
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GetWorkspaceByIdResponse
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""" # noqa: E501
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id: StrictStr
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name: StrictStr
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created_at: Optional[StrictStr] = Field(default=None, alias="createdAt")
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updated_at: Optional[StrictStr] = Field(default=None, alias="updatedAt")
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__properties: ClassVar[List[str]] = ["id", "name", "createdAt", "updatedAt"]
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model_config = ConfigDict(
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populate_by_name=True,
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validate_assignment=True,
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protected_namespaces=(),
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)
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def to_str(self) -> str:
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"""Returns the string representation of the model using alias"""
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return pprint.pformat(self.model_dump(by_alias=True))
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def to_json(self) -> str:
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"""Returns the JSON representation of the model using alias"""
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# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
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return json.dumps(self.to_dict())
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@classmethod
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def from_json(cls, json_str: str) -> Optional[Self]:
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"""Create an instance of GetWorkspaceByIdResponse from a JSON string"""
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return cls.from_dict(json.loads(json_str))
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def to_dict(self) -> Dict[str, Any]:
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"""Return the dictionary representation of the model using alias.
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This has the following differences from calling pydantic's
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`self.model_dump(by_alias=True)`:
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* `None` is only added to the output dict for nullable fields that
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were set at model initialization. Other fields with value `None`
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are ignored.
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"""
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excluded_fields: Set[str] = set([
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])
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_dict = self.model_dump(
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by_alias=True,
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exclude=excluded_fields,
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exclude_none=True,
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)
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# set to None if created_at (nullable) is None
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# and model_fields_set contains the field
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if self.created_at is None and "created_at" in self.model_fields_set:
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_dict['createdAt'] = None
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# set to None if updated_at (nullable) is None
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# and model_fields_set contains the field
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if self.updated_at is None and "updated_at" in self.model_fields_set:
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_dict['updatedAt'] = None
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return _dict
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@classmethod
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def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
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"""Create an instance of GetWorkspaceByIdResponse from a dict"""
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if obj is None:
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return None
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if not isinstance(obj, dict):
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return cls.model_validate(obj)
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_obj = cls.model_validate({
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"id": obj.get("id"),
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"name": obj.get("name"),
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"createdAt": obj.get("createdAt"),
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"updatedAt": obj.get("updatedAt")
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})
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return _obj
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