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


class PaginationMetadataSchema(BaseModel):
    """
    Enhanced pagination metadata.
    """  # noqa: E501

    page_number: StrictInt = Field(description="Current page number")
    num_pages: StrictInt = Field(description="Total number of pages")
    has_previous: StrictBool = Field(description="Whether there is a previous page")
    has_next: StrictBool = Field(description="Whether there is a next page")
    total_results: StrictInt = Field(description="Total number of results")
    per_page: StrictInt = Field(description="Number of items per page")
    __properties: ClassVar[List[str]] = [
        "page_number",
        "num_pages",
        "has_previous",
        "has_next",
        "total_results",
        "per_page",
    ]

    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 PaginationMetadataSchema 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 PaginationMetadataSchema from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate(
            {
                "page_number": obj.get("page_number"),
                "num_pages": obj.get("num_pages"),
                "has_previous": obj.get("has_previous"),
                "has_next": obj.get("has_next"),
                "total_results": obj.get("total_results"),
                "per_page": obj.get("per_page"),
            }
        )
        return _obj
