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feat(specs): add recommend batch rules endpoint (generated)
algolia/api-clients-automation#3782 Co-authored-by: algolia-bot <[email protected]> Co-authored-by: Raed <[email protected]> Co-authored-by: Pierre Millot <[email protected]> Co-authored-by: Clément Vannicatte <[email protected]>
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63 changes: 63 additions & 0 deletions
63
algoliasearch/recommend/models/recommend_updated_at_response.py
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,63 @@ | ||
| # coding: utf-8 | ||
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| """ | ||
| Code generated by OpenAPI Generator (https://openapi-generator.tech), manual changes will be lost - read more on https://github.com/algolia/api-clients-automation. DO NOT EDIT. | ||
| """ | ||
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| from __future__ import annotations | ||
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| from json import loads | ||
| from sys import version_info | ||
| from typing import Any, Dict, Optional | ||
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| from pydantic import BaseModel, ConfigDict, Field | ||
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| if version_info >= (3, 11): | ||
| from typing import Self | ||
| else: | ||
| from typing_extensions import Self | ||
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| class RecommendUpdatedAtResponse(BaseModel): | ||
| """ | ||
| Response, taskID, and update timestamp. | ||
| """ | ||
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| task_id: int = Field(alias="taskID") | ||
| """ Unique identifier of a task. A successful API response means that a task was added to a queue. It might not run immediately. You can check the task's progress with the [`task` operation](#tag/Indices/operation/getTask) and this `taskID`. """ | ||
| updated_at: str = Field(alias="updatedAt") | ||
| """ Date and time when the object was updated, in RFC 3339 format. """ | ||
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| model_config = ConfigDict( | ||
| use_enum_values=True, | ||
| populate_by_name=True, | ||
| validate_assignment=True, | ||
| protected_namespaces=(), | ||
| ) | ||
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| def to_json(self) -> str: | ||
| return self.model_dump_json(by_alias=True, exclude_unset=True) | ||
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| @classmethod | ||
| def from_json(cls, json_str: str) -> Optional[Self]: | ||
| """Create an instance of RecommendUpdatedAtResponse from a JSON string""" | ||
| return cls.from_dict(loads(json_str)) | ||
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| def to_dict(self) -> Dict[str, Any]: | ||
| """Return the dictionary representation of the model using alias.""" | ||
| return self.model_dump( | ||
| by_alias=True, | ||
| exclude_none=True, | ||
| exclude_unset=True, | ||
| ) | ||
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| @classmethod | ||
| def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: | ||
| """Create an instance of RecommendUpdatedAtResponse from a dict""" | ||
| if obj is None: | ||
| return None | ||
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| if not isinstance(obj, dict): | ||
| return cls.model_validate(obj) | ||
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| return cls.model_validate(obj) |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,63 @@ | ||
| # coding: utf-8 | ||
|
|
||
| """ | ||
| Code generated by OpenAPI Generator (https://openapi-generator.tech), manual changes will be lost - read more on https://github.com/algolia/api-clients-automation. DO NOT EDIT. | ||
| """ | ||
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||
| from __future__ import annotations | ||
|
|
||
| from json import loads | ||
| from sys import version_info | ||
| from typing import Any, Dict, Optional | ||
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| from pydantic import BaseModel, ConfigDict, Field | ||
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| if version_info >= (3, 11): | ||
| from typing import Self | ||
| else: | ||
| from typing_extensions import Self | ||
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| class TimeRange(BaseModel): | ||
| """ | ||
| TimeRange | ||
| """ | ||
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| var_from: int = Field(alias="from") | ||
| """ When the rule should start to be active, in Unix epoch time. """ | ||
| until: int = Field(alias="until") | ||
| """ When the rule should stop to be active, in Unix epoch time. """ | ||
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| model_config = ConfigDict( | ||
| use_enum_values=True, | ||
| populate_by_name=True, | ||
| validate_assignment=True, | ||
| protected_namespaces=(), | ||
| ) | ||
|
|
||
| def to_json(self) -> str: | ||
| return self.model_dump_json(by_alias=True, exclude_unset=True) | ||
|
|
||
| @classmethod | ||
| def from_json(cls, json_str: str) -> Optional[Self]: | ||
| """Create an instance of TimeRange from a JSON string""" | ||
| return cls.from_dict(loads(json_str)) | ||
|
|
||
| def to_dict(self) -> Dict[str, Any]: | ||
| """Return the dictionary representation of the model using alias.""" | ||
| return self.model_dump( | ||
| by_alias=True, | ||
| exclude_none=True, | ||
| exclude_unset=True, | ||
| ) | ||
|
|
||
| @classmethod | ||
| def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: | ||
| """Create an instance of TimeRange from a dict""" | ||
| if obj is None: | ||
| return None | ||
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| if not isinstance(obj, dict): | ||
| return cls.model_validate(obj) | ||
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| return cls.model_validate(obj) |