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blockchain/utils/sdk/client/python/lthn/models/performance_model.py

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# coding: utf-8
"""
Lethean Blockchain API
OpenAPI for Lethean Blockchain
The version of the OpenAPI document: 6.0.1
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import pprint
import re # noqa: F401
import json
from pydantic import BaseModel, ConfigDict
from typing import Any, ClassVar, Dict, List, Optional
from lthn.models.block_processing_performance_model import BlockProcessingPerformanceModel
from lthn.models.db_stat_info_model import DbStatInfoModel
from lthn.models.tx_pool_performance_model import TxPoolPerformanceModel
from lthn.models.tx_processing_performance_model import TxProcessingPerformanceModel
from typing import Optional, Set
from typing_extensions import Self
class PerformanceModel(BaseModel):
"""
PerformanceModel
""" # noqa: E501
block_processing: Optional[BlockProcessingPerformanceModel] = None
tx_processing: Optional[TxProcessingPerformanceModel] = None
tx_pool: Optional[TxPoolPerformanceModel] = None
db_stat_info: Optional[DbStatInfoModel] = None
__properties: ClassVar[List[str]] = ["block_processing", "tx_processing", "tx_pool", "db_stat_info"]
model_config = ConfigDict(
populate_by_name=True,
validate_assignment=True,
protected_namespaces=(),
)
def to_str(self) -> str:
"""Returns the string representation of the model using alias"""
return pprint.pformat(self.model_dump(by_alias=True))
def to_json(self) -> str:
"""Returns the JSON representation of the model using alias"""
# TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead
return json.dumps(self.to_dict())
@classmethod
def from_json(cls, json_str: str) -> Optional[Self]:
"""Create an instance of PerformanceModel from a JSON string"""
return cls.from_dict(json.loads(json_str))
def to_dict(self) -> Dict[str, Any]:
"""Return the dictionary representation of the model using alias.
This has the following differences from calling pydantic's
`self.model_dump(by_alias=True)`:
* `None` is only added to the output dict for nullable fields that
were set at model initialization. Other fields with value `None`
are ignored.
"""
excluded_fields: Set[str] = set([
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# override the default output from pydantic by calling `to_dict()` of block_processing
if self.block_processing:
_dict['block_processing'] = self.block_processing.to_dict()
# override the default output from pydantic by calling `to_dict()` of tx_processing
if self.tx_processing:
_dict['tx_processing'] = self.tx_processing.to_dict()
# override the default output from pydantic by calling `to_dict()` of tx_pool
if self.tx_pool:
_dict['tx_pool'] = self.tx_pool.to_dict()
# override the default output from pydantic by calling `to_dict()` of db_stat_info
if self.db_stat_info:
_dict['db_stat_info'] = self.db_stat_info.to_dict()
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of PerformanceModel from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"block_processing": BlockProcessingPerformanceModel.from_dict(obj["block_processing"]) if obj.get("block_processing") is not None else None,
"tx_processing": TxProcessingPerformanceModel.from_dict(obj["tx_processing"]) if obj.get("tx_processing") is not None else None,
"tx_pool": TxPoolPerformanceModel.from_dict(obj["tx_pool"]) if obj.get("tx_pool") is not None else None,
"db_stat_info": DbStatInfoModel.from_dict(obj["db_stat_info"]) if obj.get("db_stat_info") is not None else None
})
return _obj