data/python-restclient/vcell_client/models/field_data_shape.py

# coding: utf-8

"""
    VCell API

    VCell API

    The version of the OpenAPI document: 1.0.1
    Contact: vcell_support@uchc.com
    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 typing import Any, ClassVar, Dict, List, Optional, Union
from pydantic import BaseModel, StrictFloat, StrictInt
from pydantic import Field
from vcell_client.models.data_identifier import DataIdentifier
from vcell_client.models.extent import Extent
from vcell_client.models.i_size import ISize
from vcell_client.models.origin import Origin
try:
    from typing import Self
except ImportError:
    from typing_extensions import Self

class FieldDataShape(BaseModel):
    """
    FieldDataShape
    """ # noqa: E501
    extent: Optional[Extent] = None
    origin: Optional[Origin] = None
    isize: Optional[ISize] = None
    data_identifier: Optional[List[DataIdentifier]] = Field(default=None, alias="dataIdentifier")
    times: Optional[List[Union[StrictFloat, StrictInt]]] = None
    __properties: ClassVar[List[str]] = ["extent", "origin", "isize", "dataIdentifier", "times"]

    model_config = {
        "populate_by_name": True,
        "validate_assignment": True
    }


    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) -> Self:
        """Create an instance of FieldDataShape 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.
        """
        _dict = self.model_dump(
            by_alias=True,
            exclude={
            },
            exclude_none=True,
        )
        # override the default output from pydantic by calling `to_dict()` of extent
        if self.extent:
            _dict['extent'] = self.extent.to_dict()
        # override the default output from pydantic by calling `to_dict()` of origin
        if self.origin:
            _dict['origin'] = self.origin.to_dict()
        # override the default output from pydantic by calling `to_dict()` of isize
        if self.isize:
            _dict['isize'] = self.isize.to_dict()
        # override the default output from pydantic by calling `to_dict()` of each item in data_identifier (list)
        _items = []
        if self.data_identifier:
            for _item in self.data_identifier:
                if _item:
                    _items.append(_item.to_dict())
            _dict['dataIdentifier'] = _items
        return _dict

    @classmethod
    def from_dict(cls, obj: Dict) -> Self:
        """Create an instance of FieldDataShape from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        # raise errors for additional fields in the input
        for _key in obj.keys():
            if _key not in cls.__properties:
                raise ValueError("Error due to additional fields (not defined in FieldDataShape) in the input: " + _key)

        _obj = cls.model_validate({
            "extent": Extent.from_dict(obj.get("extent")) if obj.get("extent") is not None else None,
            "origin": Origin.from_dict(obj.get("origin")) if obj.get("origin") is not None else None,
            "isize": ISize.from_dict(obj.get("isize")) if obj.get("isize") is not None else None,
            "dataIdentifier": [DataIdentifier.from_dict(_item) for _item in obj.get("dataIdentifier")] if obj.get("dataIdentifier") is not None else None,
            "times": obj.get("times")
        })
        return _obj