# coding: utf-8

"""
    Mixpeek API

    This is the Mixpeek API, providing access to various endpoints for data processing and retrieval.

    The version of the OpenAPI document: 1.3.0
    Contact: info@mixpeek.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 datetime import datetime
from pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing_extensions import Annotated
from mixpeek.models.alert_notification_config import AlertNotificationConfig
from typing import Optional, Set
from typing_extensions import Self

class AlertResponse(BaseModel):
    """
    Response model for a single alert.
    """ # noqa: E501
    alert_id: Optional[StrictStr] = Field(default=None, description="Unique identifier for the alert")
    namespace_id: Optional[StrictStr] = Field(default=None, description="Namespace this alert belongs to")
    name: Annotated[str, Field(min_length=1, strict=True, max_length=200)] = Field(description="Human-readable name for the alert")
    description: Optional[Annotated[str, Field(strict=True, max_length=1000)]] = Field(default=None, description="Optional description of what this alert monitors")
    retriever_id: StrictStr = Field(description="ID of the retriever to execute. The retriever defines filters, scoring, limits.")
    notification_config: AlertNotificationConfig = Field(description="How and where to send notifications when alert triggers")
    enabled: Optional[StrictBool] = Field(default=True, description="Whether the alert is active and will execute")
    created_at: Optional[datetime] = Field(default=None, description="Timestamp when the alert was created")
    updated_at: Optional[datetime] = Field(default=None, description="Timestamp when the alert was last updated")
    metadata: Optional[Dict[str, Any]] = Field(default=None, description="Additional user-defined metadata for the alert")
    __properties: ClassVar[List[str]] = ["alert_id", "namespace_id", "name", "description", "retriever_id", "notification_config", "enabled", "created_at", "updated_at", "metadata"]

    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 AlertResponse 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,
        )
        # override the default output from pydantic by calling `to_dict()` of notification_config
        if self.notification_config:
            _dict['notification_config'] = self.notification_config.to_dict()
        return _dict

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

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

        _obj = cls.model_validate({
            "alert_id": obj.get("alert_id"),
            "namespace_id": obj.get("namespace_id"),
            "name": obj.get("name"),
            "description": obj.get("description"),
            "retriever_id": obj.get("retriever_id"),
            "notification_config": AlertNotificationConfig.from_dict(obj["notification_config"]) if obj.get("notification_config") is not None else None,
            "enabled": obj.get("enabled") if obj.get("enabled") is not None else True,
            "created_at": obj.get("created_at"),
            "updated_at": obj.get("updated_at"),
            "metadata": obj.get("metadata")
        })
        return _obj


