forked from lthn/blockchain
110 lines
4.1 KiB
Python
110 lines
4.1 KiB
Python
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# coding: utf-8
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"""
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Lethean Blockchain API
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OpenAPI for Lethean Blockchain
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The version of the OpenAPI document: 6.0.1
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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
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from typing import Any, ClassVar, Dict, List, Optional
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from lthn.models.block_processing_performance_model import BlockProcessingPerformanceModel
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from lthn.models.db_stat_info_model import DbStatInfoModel
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from lthn.models.tx_pool_performance_model import TxPoolPerformanceModel
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from lthn.models.tx_processing_performance_model import TxProcessingPerformanceModel
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from typing import Optional, Set
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from typing_extensions import Self
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class PerformanceModel(BaseModel):
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"""
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PerformanceModel
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""" # noqa: E501
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block_processing: Optional[BlockProcessingPerformanceModel] = None
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tx_processing: Optional[TxProcessingPerformanceModel] = None
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tx_pool: Optional[TxPoolPerformanceModel] = None
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db_stat_info: Optional[DbStatInfoModel] = None
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__properties: ClassVar[List[str]] = ["block_processing", "tx_processing", "tx_pool", "db_stat_info"]
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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 PerformanceModel 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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# override the default output from pydantic by calling `to_dict()` of block_processing
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if self.block_processing:
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_dict['block_processing'] = self.block_processing.to_dict()
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# override the default output from pydantic by calling `to_dict()` of tx_processing
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if self.tx_processing:
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_dict['tx_processing'] = self.tx_processing.to_dict()
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# override the default output from pydantic by calling `to_dict()` of tx_pool
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if self.tx_pool:
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_dict['tx_pool'] = self.tx_pool.to_dict()
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# override the default output from pydantic by calling `to_dict()` of db_stat_info
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if self.db_stat_info:
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_dict['db_stat_info'] = self.db_stat_info.to_dict()
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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 PerformanceModel 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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"block_processing": BlockProcessingPerformanceModel.from_dict(obj["block_processing"]) if obj.get("block_processing") is not None else None,
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"tx_processing": TxProcessingPerformanceModel.from_dict(obj["tx_processing"]) if obj.get("tx_processing") is not None else None,
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"tx_pool": TxPoolPerformanceModel.from_dict(obj["tx_pool"]) if obj.get("tx_pool") is not None else None,
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"db_stat_info": DbStatInfoModel.from_dict(obj["db_stat_info"]) if obj.get("db_stat_info") is not None else None
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})
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return _obj
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