# coding: utf-8

"""
    Agents API

     ## Overview Manage Cloud and Enterprise Agents available to your account in ThousandEyes.

    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 thousandeyes_sdk.agents.models.agent_label import AgentLabel
from thousandeyes_sdk.agents.models.agent_tag import AgentTag
from thousandeyes_sdk.agents.models.notification_rules import NotificationRules
from thousandeyes_sdk.agents.models.simple_test import SimpleTest
from typing import Optional, Set
from typing_extensions import Self

class EnterpriseAgentResponseExpands(BaseModel):
    """
    EnterpriseAgentResponseExpands
    """ # noqa: E501
    test_ids: Optional[List[StrictInt]] = Field(default=None, description="List of test IDs assigned to the agent.", alias="testIds")
    tests: Optional[List[SimpleTest]] = Field(default=None, description="List of tests. See `/tests` for more information.")
    notification_rules: Optional[List[NotificationRules]] = Field(default=None, description="List of notification rule objects configured on agent", alias="notificationRules")
    labels: Optional[List[AgentLabel]] = Field(default=None, description="List of labels. See `/labels` for more information.")
    tags: Optional[List[AgentTag]] = Field(default=None, description="List of tags. See `/tags` for more information.")
    __properties: ClassVar[List[str]] = ["testIds", "tests", "notificationRules", "labels", "tags"]

    model_config = ConfigDict(
        populate_by_name=True,
        validate_assignment=True,
        protected_namespaces=(),
        extra="allow",
    )


    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 self.model_dump_json(by_alias=True, exclude_unset=True, exclude_none=True)

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of EnterpriseAgentResponseExpands 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.
        * OpenAPI `readOnly` fields are excluded.
        * OpenAPI `readOnly` fields are excluded.
        """
        excluded_fields: Set[str] = set([
            "test_ids",
            "labels",
            "tags",
        ])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        # override the default output from pydantic by calling `to_dict()` of each item in tests (list)
        _items = []
        if self.tests:
            for _item in self.tests:
                if _item:
                    _items.append(_item.to_dict())
            _dict['tests'] = _items
        # override the default output from pydantic by calling `to_dict()` of each item in notification_rules (list)
        _items = []
        if self.notification_rules:
            for _item in self.notification_rules:
                if _item:
                    _items.append(_item.to_dict())
            _dict['notificationRules'] = _items
        # override the default output from pydantic by calling `to_dict()` of each item in labels (list)
        _items = []
        if self.labels:
            for _item in self.labels:
                if _item:
                    _items.append(_item.to_dict())
            _dict['labels'] = _items
        # override the default output from pydantic by calling `to_dict()` of each item in tags (list)
        _items = []
        if self.tags:
            for _item in self.tags:
                if _item:
                    _items.append(_item.to_dict())
            _dict['tags'] = _items
        return _dict

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

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

        _obj = cls.model_validate({
            "testIds": obj.get("testIds"),
            "tests": [SimpleTest.from_dict(_item) for _item in obj["tests"]] if obj.get("tests") is not None else None,
            "notificationRules": [NotificationRules.from_dict(_item) for _item in obj["notificationRules"]] if obj.get("notificationRules") is not None else None,
            "labels": [AgentLabel.from_dict(_item) for _item in obj["labels"]] if obj.get("labels") is not None else None,
            "tags": [AgentTag.from_dict(_item) for _item in obj["tags"]] if obj.get("tags") is not None else None
        })
        return _obj


