98 lines
3.1 KiB
Python
98 lines
3.1 KiB
Python
# coding: utf-8
|
|
|
|
"""
|
|
Jungfraujoch
|
|
|
|
API to control Jungfraujoch developed by the Paul Scherrer Institute (Switzerland). Jungfraujoch is a data acquisition and analysis system for pixel array detectors, primarly PSI JUNGFRAU. Jungfraujoch uses FPGA boards to acquire data at high data rates.
|
|
|
|
The version of the OpenAPI document: 1.0.0-rc.23
|
|
Contact: filip.leonarski@psi.ch
|
|
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, Field, StrictStr, field_validator
|
|
from typing import Any, ClassVar, Dict, List
|
|
from typing import Optional, Set
|
|
from typing_extensions import Self
|
|
|
|
class ErrorMessage(BaseModel):
|
|
"""
|
|
ErrorMessage
|
|
""" # noqa: E501
|
|
msg: StrictStr = Field(description="Human readable message")
|
|
reason: StrictStr = Field(description="Enumerate field for automated analysis")
|
|
__properties: ClassVar[List[str]] = ["msg", "reason"]
|
|
|
|
@field_validator('reason')
|
|
def reason_validate_enum(cls, value):
|
|
"""Validates the enum"""
|
|
if value not in set(['WrongDAQState', 'Other']):
|
|
raise ValueError("must be one of enum values ('WrongDAQState', 'Other')")
|
|
return value
|
|
|
|
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 ErrorMessage 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,
|
|
)
|
|
return _dict
|
|
|
|
@classmethod
|
|
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
|
|
"""Create an instance of ErrorMessage from a dict"""
|
|
if obj is None:
|
|
return None
|
|
|
|
if not isinstance(obj, dict):
|
|
return cls.model_validate(obj)
|
|
|
|
_obj = cls.model_validate({
|
|
"msg": obj.get("msg"),
|
|
"reason": obj.get("reason")
|
|
})
|
|
return _obj
|
|
|
|
|