99 lines
3.2 KiB
Python
99 lines
3.2 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, StrictInt
|
|
from typing import Any, ClassVar, Dict, List
|
|
from jfjoch_client.models.detector_list_detectors_inner import DetectorListDetectorsInner
|
|
from typing import Optional, Set
|
|
from typing_extensions import Self
|
|
|
|
class DetectorList(BaseModel):
|
|
"""
|
|
DetectorList
|
|
""" # noqa: E501
|
|
detectors: List[DetectorListDetectorsInner]
|
|
current_id: StrictInt
|
|
__properties: ClassVar[List[str]] = ["detectors", "current_id"]
|
|
|
|
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 DetectorList 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 each item in detectors (list)
|
|
_items = []
|
|
if self.detectors:
|
|
for _item_detectors in self.detectors:
|
|
if _item_detectors:
|
|
_items.append(_item_detectors.to_dict())
|
|
_dict['detectors'] = _items
|
|
return _dict
|
|
|
|
@classmethod
|
|
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
|
|
"""Create an instance of DetectorList from a dict"""
|
|
if obj is None:
|
|
return None
|
|
|
|
if not isinstance(obj, dict):
|
|
return cls.model_validate(obj)
|
|
|
|
_obj = cls.model_validate({
|
|
"detectors": [DetectorListDetectorsInner.from_dict(_item) for _item in obj["detectors"]] if obj.get("detectors") is not None else None,
|
|
"current_id": obj.get("current_id")
|
|
})
|
|
return _obj
|
|
|
|
|