# 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, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing import Set
from typing_extensions import Self


class GetAllGenomesQuerySchema(BaseModel):
    """
    Schema for retrieving all genomes with optional pagination and sorting.
    """  # noqa: E501

    page: Optional[StrictInt] = Field(default=1, description="Page number to retrieve.")
    per_page: Optional[StrictInt] = Field(
        default=20, description="Number of items per page."
    )
    sort_field: Optional[StrictStr] = Field(default=None, alias="sortField")
    sort_order: Optional[StrictStr] = Field(default=None, alias="sortOrder")
    __properties: ClassVar[List[str]] = ["page", "per_page", "sortField", "sortOrder"]

    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 GetAllGenomesQuerySchema 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 sort_field (nullable) is None
        # and model_fields_set contains the field
        if self.sort_field is None and "sort_field" in self.model_fields_set:
            _dict["sortField"] = None

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

        return _dict

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

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

        _obj = cls.model_validate(
            {
                "page": obj.get("page") if obj.get("page") is not None else 1,
                "per_page": obj.get("per_page")
                if obj.get("per_page") is not None
                else 20,
                "sortField": obj.get("sortField"),
                "sortOrder": obj.get("sortOrder"),
            }
        )
        return _obj
