101 lines
3.6 KiB
Python
101 lines
3.6 KiB
Python
# coding: utf-8
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"""
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Jungfraujoch
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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.
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The version of the OpenAPI document: 1.0.0-rc.19
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Contact: filip.leonarski@psi.ch
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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
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from jfjoch_client.models.detector_power_state import DetectorPowerState
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from jfjoch_client.models.detector_state import DetectorState
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from typing import Optional, Set
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from typing_extensions import Self
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class DetectorStatus(BaseModel):
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"""
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DetectorStatus
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""" # noqa: E501
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state: DetectorState
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powerchip: DetectorPowerState
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server_version: StrictStr = Field(description="Detector server (on read-out boards) version")
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number_of_triggers_left: StrictInt = Field(description="Remaining triggers to the detector (max of all modules)")
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fpga_temp_deg_c: List[StrictInt] = Field(description="Temperature of detector FPGAs", alias="fpga_temp_degC")
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high_voltage_v: List[StrictInt] = Field(description="High voltage for detector modules", alias="high_voltage_V")
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__properties: ClassVar[List[str]] = ["state", "powerchip", "server_version", "number_of_triggers_left", "fpga_temp_degC", "high_voltage_V"]
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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 DetectorStatus 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 DetectorStatus 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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"state": obj.get("state"),
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"powerchip": obj.get("powerchip"),
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"server_version": obj.get("server_version"),
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"number_of_triggers_left": obj.get("number_of_triggers_left"),
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"fpga_temp_degC": obj.get("fpga_temp_degC"),
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"high_voltage_V": obj.get("high_voltage_V")
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})
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return _obj
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