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

class WorkflowTransitionLinks(BaseModel):
    """
    The statuses the transition can start from, and the mapping of ports between the statuses.
    """ # noqa: E501
    from_port: Optional[StrictInt] = Field(default=None, description="The port that the transition starts from.", alias="fromPort")
    from_status_reference: Optional[StrictStr] = Field(default=None, description="The status that the transition starts from.", alias="fromStatusReference")
    to_port: Optional[StrictInt] = Field(default=None, description="The port that the transition goes to.", alias="toPort")
    __properties: ClassVar[List[str]] = ["fromPort", "fromStatusReference", "toPort"]

    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 WorkflowTransitionLinks 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 from_port (nullable) is None
        # and model_fields_set contains the field
        if self.from_port is None and "from_port" in self.model_fields_set:
            _dict['fromPort'] = None

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

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

        return _dict

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

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

        _obj = cls.model_validate({
            "fromPort": obj.get("fromPort"),
            "fromStatusReference": obj.get("fromStatusReference"),
            "toPort": obj.get("toPort")
        })
        return _obj


