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""" |
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VCell API |
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VCell API |
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The version of the OpenAPI document: 1.0.1 |
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Contact: vcell_support@uchc.com |
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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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""" |
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from __future__ import annotations |
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import pprint |
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import re |
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import json |
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from typing import Any, ClassVar, Dict, List, Optional, Union |
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from pydantic import BaseModel, StrictFloat, StrictInt, StrictStr |
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from pydantic import Field |
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from vcell_client.models.extent import Extent |
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from vcell_client.models.i_size import ISize |
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from vcell_client.models.origin import Origin |
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try: |
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from typing import Self |
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except ImportError: |
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from typing_extensions import Self |
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class FieldData(BaseModel): |
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""" |
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FieldData |
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""" |
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short_spec_data: Optional[List[List[List[StrictInt]]]] = Field(default=None, alias="shortSpecData") |
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double_spec_data: Optional[List[List[List[Union[StrictFloat, StrictInt]]]]] = Field(default=None, alias="doubleSpecData") |
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var_names: Optional[List[StrictStr]] = Field(default=None, alias="varNames") |
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times: Optional[List[Union[StrictFloat, StrictInt]]] = None |
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origin: Optional[Origin] = None |
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extent: Optional[Extent] = None |
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isize: Optional[ISize] = None |
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annotation: Optional[StrictStr] = None |
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name: Optional[StrictStr] = None |
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__properties: ClassVar[List[str]] = ["shortSpecData", "doubleSpecData", "varNames", "times", "origin", "extent", "isize", "annotation", "name"] |
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model_config = { |
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"populate_by_name": True, |
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"validate_assignment": True |
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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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return json.dumps(self.to_dict()) |
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@classmethod |
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def from_json(cls, json_str: str) -> Self: |
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"""Create an instance of FieldData 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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_dict = self.model_dump( |
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by_alias=True, |
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exclude={ |
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}, |
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exclude_none=True, |
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) |
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if self.origin: |
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_dict['origin'] = self.origin.to_dict() |
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if self.extent: |
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_dict['extent'] = self.extent.to_dict() |
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if self.isize: |
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_dict['isize'] = self.isize.to_dict() |
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return _dict |
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@classmethod |
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def from_dict(cls, obj: Dict) -> Self: |
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"""Create an instance of FieldData 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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for _key in obj.keys(): |
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if _key not in cls.__properties: |
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raise ValueError("Error due to additional fields (not defined in FieldData) in the input: " + _key) |
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_obj = cls.model_validate({ |
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"shortSpecData": obj.get("shortSpecData"), |
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"doubleSpecData": obj.get("doubleSpecData"), |
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"varNames": obj.get("varNames"), |
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"times": obj.get("times"), |
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"origin": Origin.from_dict(obj.get("origin")) if obj.get("origin") is not None else None, |
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"extent": Extent.from_dict(obj.get("extent")) if obj.get("extent") is not None else None, |
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"isize": ISize.from_dict(obj.get("isize")) if obj.get("isize") is not None else None, |
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"annotation": obj.get("annotation"), |
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"name": obj.get("name") |
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}) |
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return _obj |
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