# coding: utf-8

"""
    NERSC implementation of the IRI api

    IRI facility API for NERSC.  For more information, see: [https://iri.science/](https://iri.science/)  <img src=\"https://iri.science/images/doe-icon-old.png\" height=50 /> <img src=\"https://www.nersc.gov/_resources/themes/nersc/images/NERSC_logo_no_spacing.svg\" height=50 />

    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 datetime import datetime
from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from nersc_iri.models.allocation_unit import AllocationUnit
from typing import Optional, Set
from typing_extensions import Self

class Capability(BaseModel):
    """
    An aspect of a resource that can have an allocation. For example, Perlmutter nodes with GPUs For some resources at a facility, this will be 1 to 1 with the resource. It is a way to further subdivide a resource into allocatable sub-resources. The word \"capability\" is also known to users as something they need for a job to run. (eg. gpu)
    """ # noqa: E501
    id: StrictStr = Field(description="The unique identifier for the object. Typically a UUID or URN.")
    name: Optional[StrictStr] = None
    description: Optional[StrictStr] = None
    last_modified: Optional[datetime] = Field(default=None, description="Strict ISO8601 datetime. Only valid ISO8601 datetime strings are accepted.")
    units: List[AllocationUnit] = Field(description="Allocation units supported by this capability")
    self_uri: StrictStr = Field(description="The canonical URL of this object")
    additional_properties: Dict[str, Any] = {}
    __properties: ClassVar[List[str]] = ["id", "name", "description", "last_modified", "units", "self_uri"]

    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 Capability 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.
        * OpenAPI `readOnly` fields are excluded.
        * Fields in `self.additional_properties` are added to the output dict.
        """
        excluded_fields: Set[str] = set([
            "self_uri",
            "additional_properties",
        ])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        # puts key-value pairs in additional_properties in the top level
        if self.additional_properties is not None:
            for _key, _value in self.additional_properties.items():
                _dict[_key] = _value

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

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

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

        return _dict

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

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

        _obj = cls.model_validate({
            "id": obj.get("id"),
            "name": obj.get("name"),
            "description": obj.get("description"),
            "last_modified": obj.get("last_modified"),
            "units": obj.get("units"),
            "self_uri": obj.get("self_uri")
        })
        # store additional fields in additional_properties
        for _key in obj.keys():
            if _key not in cls.__properties:
                _obj.additional_properties[_key] = obj.get(_key)

        return _obj


