vectorize_client.models.destination_connector_schema
Vectorize API (Beta)
API for Vectorize services
The version of the OpenAPI document: 0.0.1 Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
1# coding: utf-8 2 3""" 4 Vectorize API (Beta) 5 6 API for Vectorize services 7 8 The version of the OpenAPI document: 0.0.1 9 Generated by OpenAPI Generator (https://openapi-generator.tech) 10 11 Do not edit the class manually. 12""" # noqa: E501 13 14 15from __future__ import annotations 16import pprint 17import re # noqa: F401 18import json 19 20from pydantic import BaseModel, ConfigDict, StrictStr 21from typing import Any, ClassVar, Dict, List, Optional 22from vectorize_client.models.destination_connector_type import DestinationConnectorType 23from typing import Optional, Set 24from typing_extensions import Self 25 26class DestinationConnectorSchema(BaseModel): 27 """ 28 DestinationConnectorSchema 29 """ # noqa: E501 30 id: StrictStr 31 type: DestinationConnectorType 32 config: Optional[Dict[str, Any]] = None 33 __properties: ClassVar[List[str]] = ["id", "type", "config"] 34 35 model_config = ConfigDict( 36 populate_by_name=True, 37 validate_assignment=True, 38 protected_namespaces=(), 39 ) 40 41 42 def to_str(self) -> str: 43 """Returns the string representation of the model using alias""" 44 return pprint.pformat(self.model_dump(by_alias=True)) 45 46 def to_json(self) -> str: 47 """Returns the JSON representation of the model using alias""" 48 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 49 return json.dumps(self.to_dict()) 50 51 @classmethod 52 def from_json(cls, json_str: str) -> Optional[Self]: 53 """Create an instance of DestinationConnectorSchema from a JSON string""" 54 return cls.from_dict(json.loads(json_str)) 55 56 def to_dict(self) -> Dict[str, Any]: 57 """Return the dictionary representation of the model using alias. 58 59 This has the following differences from calling pydantic's 60 `self.model_dump(by_alias=True)`: 61 62 * `None` is only added to the output dict for nullable fields that 63 were set at model initialization. Other fields with value `None` 64 are ignored. 65 """ 66 excluded_fields: Set[str] = set([ 67 ]) 68 69 _dict = self.model_dump( 70 by_alias=True, 71 exclude=excluded_fields, 72 exclude_none=True, 73 ) 74 return _dict 75 76 @classmethod 77 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 78 """Create an instance of DestinationConnectorSchema from a dict""" 79 if obj is None: 80 return None 81 82 if not isinstance(obj, dict): 83 return cls.model_validate(obj) 84 85 _obj = cls.model_validate({ 86 "id": obj.get("id"), 87 "type": obj.get("type"), 88 "config": obj.get("config") 89 }) 90 return _obj
class
DestinationConnectorSchema(pydantic.main.BaseModel):
27class DestinationConnectorSchema(BaseModel): 28 """ 29 DestinationConnectorSchema 30 """ # noqa: E501 31 id: StrictStr 32 type: DestinationConnectorType 33 config: Optional[Dict[str, Any]] = None 34 __properties: ClassVar[List[str]] = ["id", "type", "config"] 35 36 model_config = ConfigDict( 37 populate_by_name=True, 38 validate_assignment=True, 39 protected_namespaces=(), 40 ) 41 42 43 def to_str(self) -> str: 44 """Returns the string representation of the model using alias""" 45 return pprint.pformat(self.model_dump(by_alias=True)) 46 47 def to_json(self) -> str: 48 """Returns the JSON representation of the model using alias""" 49 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 50 return json.dumps(self.to_dict()) 51 52 @classmethod 53 def from_json(cls, json_str: str) -> Optional[Self]: 54 """Create an instance of DestinationConnectorSchema from a JSON string""" 55 return cls.from_dict(json.loads(json_str)) 56 57 def to_dict(self) -> Dict[str, Any]: 58 """Return the dictionary representation of the model using alias. 59 60 This has the following differences from calling pydantic's 61 `self.model_dump(by_alias=True)`: 62 63 * `None` is only added to the output dict for nullable fields that 64 were set at model initialization. Other fields with value `None` 65 are ignored. 66 """ 67 excluded_fields: Set[str] = set([ 68 ]) 69 70 _dict = self.model_dump( 71 by_alias=True, 72 exclude=excluded_fields, 73 exclude_none=True, 74 ) 75 return _dict 76 77 @classmethod 78 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 79 """Create an instance of DestinationConnectorSchema from a dict""" 80 if obj is None: 81 return None 82 83 if not isinstance(obj, dict): 84 return cls.model_validate(obj) 85 86 _obj = cls.model_validate({ 87 "id": obj.get("id"), 88 "type": obj.get("type"), 89 "config": obj.get("config") 90 }) 91 return _obj
DestinationConnectorSchema
model_config =
{'populate_by_name': True, 'validate_assignment': True, 'protected_namespaces': ()}
Configuration for the model, should be a dictionary conforming to [ConfigDict
][pydantic.config.ConfigDict].
def
to_str(self) -> str:
43 def to_str(self) -> str: 44 """Returns the string representation of the model using alias""" 45 return pprint.pformat(self.model_dump(by_alias=True))
Returns the string representation of the model using alias
def
to_json(self) -> str:
47 def to_json(self) -> str: 48 """Returns the JSON representation of the model using alias""" 49 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 50 return json.dumps(self.to_dict())
Returns the JSON representation of the model using alias
@classmethod
def
from_json(cls, json_str: str) -> Optional[Self]:
52 @classmethod 53 def from_json(cls, json_str: str) -> Optional[Self]: 54 """Create an instance of DestinationConnectorSchema from a JSON string""" 55 return cls.from_dict(json.loads(json_str))
Create an instance of DestinationConnectorSchema from a JSON string
def
to_dict(self) -> Dict[str, Any]:
57 def to_dict(self) -> Dict[str, Any]: 58 """Return the dictionary representation of the model using alias. 59 60 This has the following differences from calling pydantic's 61 `self.model_dump(by_alias=True)`: 62 63 * `None` is only added to the output dict for nullable fields that 64 were set at model initialization. Other fields with value `None` 65 are ignored. 66 """ 67 excluded_fields: Set[str] = set([ 68 ]) 69 70 _dict = self.model_dump( 71 by_alias=True, 72 exclude=excluded_fields, 73 exclude_none=True, 74 ) 75 return _dict
Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
self.model_dump(by_alias=True)
:
None
is only added to the output dict for nullable fields that were set at model initialization. Other fields with valueNone
are ignored.
@classmethod
def
from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
77 @classmethod 78 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 79 """Create an instance of DestinationConnectorSchema from a dict""" 80 if obj is None: 81 return None 82 83 if not isinstance(obj, dict): 84 return cls.model_validate(obj) 85 86 _obj = cls.model_validate({ 87 "id": obj.get("id"), 88 "type": obj.get("type"), 89 "config": obj.get("config") 90 }) 91 return _obj
Create an instance of DestinationConnectorSchema from a dict