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https://github.com/logos-storage/logos-storage-py-api-client.git
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100 lines
4.0 KiB
Python
100 lines
4.0 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 StorageRequestCreation(BaseModel):
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"""
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StorageRequestCreation
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""" # noqa: E501
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duration: StrictStr = Field(description="The duration of the request in seconds as decimal string")
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reward: StrictStr = Field(description="The maximum amount of tokens paid per second per slot to hosts the client is willing to pay")
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proof_probability: StrictStr = Field(description="How often storage proofs are required as decimal string", alias="proofProbability")
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nodes: Optional[StrictInt] = Field(default=1, description="Minimal number of nodes the content should be stored on")
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tolerance: Optional[StrictInt] = Field(default=0, description="Additional number of nodes on top of the `nodes` property that can be lost before pronouncing the content lost")
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collateral: StrictStr = Field(description="Number as decimal string that represents how much collateral is asked from hosts that wants to fill a slots")
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expiry: StrictStr = Field(description="Number as decimal string that represents expiry threshold in seconds from when the Request is submitted. When the threshold is reached and the Request does not find requested amount of nodes to host the data, the Request is voided. The number of seconds can not be higher then the Request's duration itself.")
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__properties: ClassVar[List[str]] = ["duration", "reward", "proofProbability", "nodes", "tolerance", "collateral", "expiry"]
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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 StorageRequestCreation 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 StorageRequestCreation 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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"duration": obj.get("duration"),
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"reward": obj.get("reward"),
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"proofProbability": obj.get("proofProbability"),
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"nodes": obj.get("nodes") if obj.get("nodes") is not None else 1,
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"tolerance": obj.get("tolerance") if obj.get("tolerance") is not None else 0,
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"collateral": obj.get("collateral"),
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"expiry": obj.get("expiry")
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})
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return _obj
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