vectorize_client.models.pipeline_events
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 typing import Optional, Set 23from typing_extensions import Self 24 25class PipelineEvents(BaseModel): 26 """ 27 PipelineEvents 28 """ # noqa: E501 29 id: StrictStr 30 type: StrictStr 31 timestamp: Optional[StrictStr] 32 details: Optional[Dict[str, Any]] = None 33 summary: Optional[Dict[str, Any]] = None 34 __properties: ClassVar[List[str]] = ["id", "type", "timestamp", "details", "summary"] 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 PipelineEvents 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 # set to None if timestamp (nullable) is None 76 # and model_fields_set contains the field 77 if self.timestamp is None and "timestamp" in self.model_fields_set: 78 _dict['timestamp'] = None 79 80 return _dict 81 82 @classmethod 83 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 84 """Create an instance of PipelineEvents from a dict""" 85 if obj is None: 86 return None 87 88 if not isinstance(obj, dict): 89 return cls.model_validate(obj) 90 91 _obj = cls.model_validate({ 92 "id": obj.get("id"), 93 "type": obj.get("type"), 94 "timestamp": obj.get("timestamp"), 95 "details": obj.get("details"), 96 "summary": obj.get("summary") 97 }) 98 return _obj
class
PipelineEvents(pydantic.main.BaseModel):
26class PipelineEvents(BaseModel): 27 """ 28 PipelineEvents 29 """ # noqa: E501 30 id: StrictStr 31 type: StrictStr 32 timestamp: Optional[StrictStr] 33 details: Optional[Dict[str, Any]] = None 34 summary: Optional[Dict[str, Any]] = None 35 __properties: ClassVar[List[str]] = ["id", "type", "timestamp", "details", "summary"] 36 37 model_config = ConfigDict( 38 populate_by_name=True, 39 validate_assignment=True, 40 protected_namespaces=(), 41 ) 42 43 44 def to_str(self) -> str: 45 """Returns the string representation of the model using alias""" 46 return pprint.pformat(self.model_dump(by_alias=True)) 47 48 def to_json(self) -> str: 49 """Returns the JSON representation of the model using alias""" 50 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 51 return json.dumps(self.to_dict()) 52 53 @classmethod 54 def from_json(cls, json_str: str) -> Optional[Self]: 55 """Create an instance of PipelineEvents from a JSON string""" 56 return cls.from_dict(json.loads(json_str)) 57 58 def to_dict(self) -> Dict[str, Any]: 59 """Return the dictionary representation of the model using alias. 60 61 This has the following differences from calling pydantic's 62 `self.model_dump(by_alias=True)`: 63 64 * `None` is only added to the output dict for nullable fields that 65 were set at model initialization. Other fields with value `None` 66 are ignored. 67 """ 68 excluded_fields: Set[str] = set([ 69 ]) 70 71 _dict = self.model_dump( 72 by_alias=True, 73 exclude=excluded_fields, 74 exclude_none=True, 75 ) 76 # set to None if timestamp (nullable) is None 77 # and model_fields_set contains the field 78 if self.timestamp is None and "timestamp" in self.model_fields_set: 79 _dict['timestamp'] = None 80 81 return _dict 82 83 @classmethod 84 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 85 """Create an instance of PipelineEvents from a dict""" 86 if obj is None: 87 return None 88 89 if not isinstance(obj, dict): 90 return cls.model_validate(obj) 91 92 _obj = cls.model_validate({ 93 "id": obj.get("id"), 94 "type": obj.get("type"), 95 "timestamp": obj.get("timestamp"), 96 "details": obj.get("details"), 97 "summary": obj.get("summary") 98 }) 99 return _obj
PipelineEvents
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:
44 def to_str(self) -> str: 45 """Returns the string representation of the model using alias""" 46 return pprint.pformat(self.model_dump(by_alias=True))
Returns the string representation of the model using alias
def
to_json(self) -> str:
48 def to_json(self) -> str: 49 """Returns the JSON representation of the model using alias""" 50 # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead 51 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]:
53 @classmethod 54 def from_json(cls, json_str: str) -> Optional[Self]: 55 """Create an instance of PipelineEvents from a JSON string""" 56 return cls.from_dict(json.loads(json_str))
Create an instance of PipelineEvents from a JSON string
def
to_dict(self) -> Dict[str, Any]:
58 def to_dict(self) -> Dict[str, Any]: 59 """Return the dictionary representation of the model using alias. 60 61 This has the following differences from calling pydantic's 62 `self.model_dump(by_alias=True)`: 63 64 * `None` is only added to the output dict for nullable fields that 65 were set at model initialization. Other fields with value `None` 66 are ignored. 67 """ 68 excluded_fields: Set[str] = set([ 69 ]) 70 71 _dict = self.model_dump( 72 by_alias=True, 73 exclude=excluded_fields, 74 exclude_none=True, 75 ) 76 # set to None if timestamp (nullable) is None 77 # and model_fields_set contains the field 78 if self.timestamp is None and "timestamp" in self.model_fields_set: 79 _dict['timestamp'] = None 80 81 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]:
83 @classmethod 84 def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: 85 """Create an instance of PipelineEvents from a dict""" 86 if obj is None: 87 return None 88 89 if not isinstance(obj, dict): 90 return cls.model_validate(obj) 91 92 _obj = cls.model_validate({ 93 "id": obj.get("id"), 94 "type": obj.get("type"), 95 "timestamp": obj.get("timestamp"), 96 "details": obj.get("details"), 97 "summary": obj.get("summary") 98 }) 99 return _obj
Create an instance of PipelineEvents from a dict