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https://github.com/logos-storage/logos-storage-py-api-client.git
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98 lines
3.6 KiB
Python
98 lines
3.6 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, 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 StorageAsk(BaseModel):
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"""
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StorageAsk
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""" # noqa: E501
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slots: Optional[StrictInt] = Field(default=None, description="Number of slots (eq. hosts) that the Request want to have the content spread over")
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slot_size: Optional[StrictStr] = Field(default=None, description="Amount of storage per slot (in bytes) as decimal string", alias="slotSize")
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duration: Optional[StrictStr] = Field(default=None, description="The duration of the request in seconds as decimal string")
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proof_probability: Optional[StrictStr] = Field(default=None, description="How often storage proofs are required as decimal string", alias="proofProbability")
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price_per_byte_per_second: StrictStr = Field(description="The amount of tokens paid per byte per second per slot to hosts the client is willing to pay", alias="pricePerBytePerSecond")
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max_slot_loss: Optional[StrictInt] = Field(default=None, description="Max slots that can be lost without data considered to be lost", alias="maxSlotLoss")
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__properties: ClassVar[List[str]] = ["slots", "slotSize", "duration", "proofProbability", "pricePerBytePerSecond", "maxSlotLoss"]
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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 StorageAsk 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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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 StorageAsk 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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"slots": obj.get("slots"),
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"slotSize": obj.get("slotSize"),
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"duration": obj.get("duration"),
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"proofProbability": obj.get("proofProbability"),
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"pricePerBytePerSecond": obj.get("pricePerBytePerSecond"),
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"maxSlotLoss": obj.get("maxSlotLoss")
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})
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return _obj
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