# coding: utf-8

"""
    The Jira Cloud platform REST API

    Jira Cloud platform REST API documentation

    The version of the OpenAPI document: 1001.0.0-SNAPSHOT-7ce0ee67a52d004425175cea962ad1c1c7200181
    Contact: ecosystem@atlassian.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 pydantic import BaseModel, ConfigDict, Field, StrictInt
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

class PriorityMapping(BaseModel):
    """
    Mapping of issue priorities for changes in priority schemes.
    """ # noqa: E501
    var_in: Optional[Dict[str, StrictInt]] = Field(default=None, description="The mapping of priorities for issues being migrated **into** this priority scheme. Key is the old priority ID, value is the new priority ID (must exist in this priority scheme).  E.g. The current priority scheme has priority ID `10001`. Issues with priority ID `10000` are being migrated into this priority scheme will need mapping to new priorities. The `in` mapping would be `{\"10000\": 10001}`.", alias="in")
    out: Optional[Dict[str, StrictInt]] = Field(default=None, description="The mapping of priorities for issues being migrated **out of** this priority scheme. Key is the old priority ID (must exist in this priority scheme), value is the new priority ID (must exist in the default priority scheme). Required for updating an existing priority scheme. Not used when creating a new priority scheme.  E.g. The current priority scheme has priority ID `10001`. Issues with priority ID `10001` are being migrated out of this priority scheme will need mapping to new priorities. The `out` mapping would be `{\"10001\": 10000}`.")
    __properties: ClassVar[List[str]] = ["in", "out"]

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

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

        _obj = cls.model_validate({
            "in": obj.get("in"),
            "out": obj.get("out")
        })
        return _obj


