# coding: utf-8

"""
    Endpoint Test Results API

    Retrieve results for scheduled and dynamic tests on endpoint agents.

    The version of the OpenAPI document: 7.0.0
    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 typing import Any, ClassVar, Dict, List, Optional
from pydantic import BaseModel, StrictStr
from pydantic import Field
from typing_extensions import Annotated
from test_results_api.models.specific_agents_selector_type import SpecificAgentsSelectorType
try:
    from typing import Self
except ImportError:
    from typing_extensions import Self

class EndpointSpecificAgentsSelectorConfig(BaseModel):
    """
    Specific agents selection object.
    """ # noqa: E501
    agent_selector_type: Optional[SpecificAgentsSelectorType] = Field(default=None, alias="agentSelectorType")
    max_machines: Optional[Annotated[int, Field(le=5000, strict=True, ge=1)]] = Field(default=None, description="Maximum number of agents which can execute the test.", alias="maxMachines")
    agents: Optional[List[StrictStr]] = Field(default=None, description="List of endpoint agent IDs (obtained from `/endpoint/agents` endpoint). Required when `agentSelectorType` is set to `specific-agent`.")
    __properties: ClassVar[List[str]] = ["agentSelectorType", "maxMachines", "agents"]

    model_config = {
        "populate_by_name": True,
        "validate_assignment": True
    }


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

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

        _obj = cls.model_validate({
            "agentSelectorType": obj.get("agentSelectorType"),
            "maxMachines": obj.get("maxMachines"),
            "agents": obj.get("agents")
        })
        return _obj


