vectorize_client.models.created_ai_platform_connector

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.

View Source

 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
22from typing import Optional, Set
23from typing_extensions import Self
24
25class CreatedAIPlatformConnector(BaseModel):
26    """
27    CreatedAIPlatformConnector
28    """ # noqa: E501
29    name: StrictStr
30    id: StrictStr
31    __properties: ClassVar[List[str]] = ["name", "id"]
32
33    model_config = ConfigDict(
34        populate_by_name=True,
35        validate_assignment=True,
36        protected_namespaces=(),
37    )
38
39
40    def to_str(self) -> str:
41        """Returns the string representation of the model using alias"""
42        return pprint.pformat(self.model_dump(by_alias=True))
43
44    def to_json(self) -> str:
45        """Returns the JSON representation of the model using alias"""
46        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
47        return json.dumps(self.to_dict())
48
49    @classmethod
50    def from_json(cls, json_str: str) -> Optional[Self]:
51        """Create an instance of CreatedAIPlatformConnector from a JSON string"""
52        return cls.from_dict(json.loads(json_str))
53
54    def to_dict(self) -> Dict[str, Any]:
55        """Return the dictionary representation of the model using alias.
56
57        This has the following differences from calling pydantic's
58        `self.model_dump(by_alias=True)`:
59
60        * `None` is only added to the output dict for nullable fields that
61          were set at model initialization. Other fields with value `None`
62          are ignored.
63        """
64        excluded_fields: Set[str] = set([
65        ])
66
67        _dict = self.model_dump(
68            by_alias=True,
69            exclude=excluded_fields,
70            exclude_none=True,
71        )
72        return _dict
73
74    @classmethod
75    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
76        """Create an instance of CreatedAIPlatformConnector from a dict"""
77        if obj is None:
78            return None
79
80        if not isinstance(obj, dict):
81            return cls.model_validate(obj)
82
83        _obj = cls.model_validate({
84            "name": obj.get("name"),
85            "id": obj.get("id")
86        })
87        return _obj

class CreatedAIPlatformConnector(pydantic.main.BaseModel): View Source

26class CreatedAIPlatformConnector(BaseModel):
27    """
28    CreatedAIPlatformConnector
29    """ # noqa: E501
30    name: StrictStr
31    id: StrictStr
32    __properties: ClassVar[List[str]] = ["name", "id"]
33
34    model_config = ConfigDict(
35        populate_by_name=True,
36        validate_assignment=True,
37        protected_namespaces=(),
38    )
39
40
41    def to_str(self) -> str:
42        """Returns the string representation of the model using alias"""
43        return pprint.pformat(self.model_dump(by_alias=True))
44
45    def to_json(self) -> str:
46        """Returns the JSON representation of the model using alias"""
47        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
48        return json.dumps(self.to_dict())
49
50    @classmethod
51    def from_json(cls, json_str: str) -> Optional[Self]:
52        """Create an instance of CreatedAIPlatformConnector from a JSON string"""
53        return cls.from_dict(json.loads(json_str))
54
55    def to_dict(self) -> Dict[str, Any]:
56        """Return the dictionary representation of the model using alias.
57
58        This has the following differences from calling pydantic's
59        `self.model_dump(by_alias=True)`:
60
61        * `None` is only added to the output dict for nullable fields that
62          were set at model initialization. Other fields with value `None`
63          are ignored.
64        """
65        excluded_fields: Set[str] = set([
66        ])
67
68        _dict = self.model_dump(
69            by_alias=True,
70            exclude=excluded_fields,
71            exclude_none=True,
72        )
73        return _dict
74
75    @classmethod
76    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
77        """Create an instance of CreatedAIPlatformConnector from a dict"""
78        if obj is None:
79            return None
80
81        if not isinstance(obj, dict):
82            return cls.model_validate(obj)
83
84        _obj = cls.model_validate({
85            "name": obj.get("name"),
86            "id": obj.get("id")
87        })
88        return _obj

CreatedAIPlatformConnector

name: typing.Annotated[str, Strict(strict=True)]

id: typing.Annotated[str, Strict(strict=True)]

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: View Source

41    def to_str(self) -> str:
42        """Returns the string representation of the model using alias"""
43        return pprint.pformat(self.model_dump(by_alias=True))

Returns the string representation of the model using alias

def to_json(self) -> str: View Source

45    def to_json(self) -> str:
46        """Returns the JSON representation of the model using alias"""
47        # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
48        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]: View Source

50    @classmethod
51    def from_json(cls, json_str: str) -> Optional[Self]:
52        """Create an instance of CreatedAIPlatformConnector from a JSON string"""
53        return cls.from_dict(json.loads(json_str))

Create an instance of CreatedAIPlatformConnector from a JSON string

def to_dict(self) -> Dict[str, Any]: View Source

55    def to_dict(self) -> Dict[str, Any]:
56        """Return the dictionary representation of the model using alias.
57
58        This has the following differences from calling pydantic's
59        `self.model_dump(by_alias=True)`:
60
61        * `None` is only added to the output dict for nullable fields that
62          were set at model initialization. Other fields with value `None`
63          are ignored.
64        """
65        excluded_fields: Set[str] = set([
66        ])
67
68        _dict = self.model_dump(
69            by_alias=True,
70            exclude=excluded_fields,
71            exclude_none=True,
72        )
73        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 value None are ignored.

@classmethod

def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: View Source

75    @classmethod
76    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
77        """Create an instance of CreatedAIPlatformConnector from a dict"""
78        if obj is None:
79            return None
80
81        if not isinstance(obj, dict):
82            return cls.model_validate(obj)
83
84        _obj = cls.model_validate({
85            "name": obj.get("name"),
86            "id": obj.get("id")
87        })
88        return _obj

Create an instance of CreatedAIPlatformConnector from a dict