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108 lines
3.9 KiB
Python
108 lines
3.9 KiB
Python
# coding: utf-8
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"""
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Codex API
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List of endpoints and interfaces available to Codex API users
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The version of the OpenAPI document: 0.0.1
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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, StrictBool, StrictInt, 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 ManifestItem(BaseModel):
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"""
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ManifestItem
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""" # noqa: E501
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tree_cid: Optional[StrictStr] = Field(default=None, description="Content Identifier as specified at https://github.com/multiformats/cid", alias="treeCid")
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dataset_size: Optional[StrictInt] = Field(default=None, description="Length of original content in bytes", alias="datasetSize")
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block_size: Optional[StrictInt] = Field(default=None, description="Size of blocks", alias="blockSize")
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protected: Optional[StrictBool] = Field(default=None, description="Indicates if content is protected by erasure-coding")
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filename: Optional[StrictStr] = Field(default=None, description="The original name of the uploaded content (optional)")
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mimetype: Optional[StrictStr] = Field(default=None, description="The original mimetype of the uploaded content (optional)")
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__properties: ClassVar[List[str]] = ["treeCid", "datasetSize", "blockSize", "protected", "filename", "mimetype"]
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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 ManifestItem 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 filename (nullable) is None
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# and model_fields_set contains the field
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if self.filename is None and "filename" in self.model_fields_set:
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_dict['filename'] = None
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# set to None if mimetype (nullable) is None
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# and model_fields_set contains the field
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if self.mimetype is None and "mimetype" in self.model_fields_set:
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_dict['mimetype'] = 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 ManifestItem 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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"treeCid": obj.get("treeCid"),
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"datasetSize": obj.get("datasetSize"),
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"blockSize": obj.get("blockSize"),
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"protected": obj.get("protected"),
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"filename": obj.get("filename"),
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"mimetype": obj.get("mimetype")
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})
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return _obj
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