# coding: utf-8

"""
ME TT DataPortal Data Portal API

ME TT DataPortal Data Portal APIs to fetch Gut Microbes Genomes / Genes information.

The version of the OpenAPI document: 1.0.0
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, Field, StrictBool, StrictStr
from typing import Any, ClassVar, Dict, List, Optional, Union
from typing_extensions import Annotated
from typing import Set
from typing_extensions import Self


class PPINetworkQuerySchema(BaseModel):
    """
    Schema for PPI network query parameters.
    """  # noqa: E501

    score_threshold: Optional[
        Union[
            Annotated[float, Field(le=1, strict=True, ge=0)],
            Annotated[int, Field(le=1, strict=True, ge=0)],
        ]
    ] = Field(default=0.8, description="Score threshold for network construction")
    species_acronym: Optional[StrictStr] = None
    include_properties: Optional[StrictBool] = Field(
        default=False, description="Whether to include network properties"
    )
    __properties: ClassVar[List[str]] = [
        "score_threshold",
        "species_acronym",
        "include_properties",
    ]

    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 PPINetworkQuerySchema 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,
        )
        # set to None if species_acronym (nullable) is None
        # and model_fields_set contains the field
        if self.species_acronym is None and "species_acronym" in self.model_fields_set:
            _dict["species_acronym"] = None

        return _dict

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

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

        _obj = cls.model_validate(
            {
                "score_threshold": obj.get("score_threshold")
                if obj.get("score_threshold") is not None
                else 0.8,
                "species_acronym": obj.get("species_acronym"),
                "include_properties": obj.get("include_properties")
                if obj.get("include_properties") is not None
                else False,
            }
        )
        return _obj
