# coding: utf-8

"""
    Tags API

    Tags are case-sensitive key-value pairs that simplify resource management. The Tag Manager API allows you to create and manage such tags to later assign them to related resources in your Bare Metal Cloud (through the respective resource apis) in order to group and categorize them.<br> <br> <span class='pnap-api-knowledge-base-link'> Knowledge base articles to help you can be found <a href='https://phoenixnap.com/kb/bmc-server-management-via-api#server-tag-manager-api' target='_blank'>here</a> </span><br> <br> <b>All URLs are relative to (https://api.phoenixnap.com/tag-manager/v1/)</b> 

    The version of the OpenAPI document: 1.0
    Contact: support@phoenixnap.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 typing import Any, ClassVar, Dict, List, Optional
from pydantic import BaseModel, StrictStr
from pydantic import Field
try:
    from typing import Self
except ImportError:
    from typing_extensions import Self

class ResourceAssignment(BaseModel):
    """
    Resource assigned to a tag.
    """ # noqa: E501
    resource_name: StrictStr = Field(description="The resource name which is automatically generated by the tags-api. It is a unique resource identifier made up of the API name (e.g. bmc, ips), the resource type and the resource ID. This is not to be confused with custom names that are defined for particular resources, such as the server name or network name.", alias="resourceName")
    value: Optional[StrictStr] = Field(default=None, description="The value of the tag assigned to the resource.")
    __properties: ClassVar[List[str]] = ["resourceName", "value"]

    model_config = {
        "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) -> Self:
        """Create an instance of ResourceAssignment 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.
        """
        _dict = self.model_dump(
            by_alias=True,
            exclude={
            },
            exclude_none=True,
        )
        return _dict

    @classmethod
    def from_dict(cls, obj: Dict) -> Self:
        """Create an instance of ResourceAssignment from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "resourceName": obj.get("resourceName"),
            "value": obj.get("value")
        })
        return _obj


