# coding: utf-8

"""
    NCBI Datasets API

    ### NCBI Datasets is a resource that lets you easily gather data from NCBI. The NCBI Datasets version 2 API is updated often to add new features, fix bugs, and enhance usability. 

    The version of the OpenAPI document: v2
    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, StrictFloat, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional, Union
from ncbi.datasets.openapi.models.v2reports_ani_type_category import V2reportsANITypeCategory
from typing import Optional, Set
from typing_extensions import Self
from pydantic_core import to_jsonable_python

class V2reportsANIMatch(BaseModel):
    """
    V2reportsANIMatch
    """ # noqa: E501
    assembly: Optional[StrictStr] = None
    organism_name: Optional[StrictStr] = None
    category: Optional[V2reportsANITypeCategory] = V2reportsANITypeCategory.ANI_CATEGORY_UNKNOWN
    ani: Optional[Union[StrictFloat, StrictInt]] = None
    assembly_coverage: Optional[Union[StrictFloat, StrictInt]] = None
    type_assembly_coverage: Optional[Union[StrictFloat, StrictInt]] = None
    __properties: ClassVar[List[str]] = ["assembly", "organism_name", "category", "ani", "assembly_coverage", "type_assembly_coverage"]

    model_config = ConfigDict(
        validate_by_name=True,
        validate_by_alias=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"""
        return json.dumps(to_jsonable_python(self.to_dict()))

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of V2reportsANIMatch 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 V2reportsANIMatch from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "assembly": obj.get("assembly"),
            "organism_name": obj.get("organism_name"),
            "category": obj.get("category") if obj.get("category") is not None else V2reportsANITypeCategory.ANI_CATEGORY_UNKNOWN,
            "ani": obj.get("ani"),
            "assembly_coverage": obj.get("assembly_coverage"),
            "type_assembly_coverage": obj.get("type_assembly_coverage")
        })
        return _obj


