# coding: utf-8

"""
    STACKIT Observability API

    API endpoints for Observability on STACKIT

    The version of the OpenAPI document: 1.1.1
    Contact: stackit-argus@mail.schwarz
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501

from __future__ import annotations

import json
import pprint
from typing import Any, ClassVar, Dict, List, Optional, Set

from pydantic import BaseModel, ConfigDict, Field
from typing_extensions import Annotated, Self

from stackit.observability.models.create_logs_alertgroups_payload_rules_inner import (
    CreateLogsAlertgroupsPayloadRulesInner,
)


class UpdateLogsAlertgroupPayload(BaseModel):
    """
    Alert group that should be created or updated. `Additional Validators:` * total config should not be bigger than 500000 characters as string since this the limitation of prometheus.
    """  # noqa: E501

    interval: Optional[Annotated[str, Field(min_length=2, strict=True, max_length=8)]] = Field(
        default="60s",
        description="How often rules in the group are evaluated. `Additional Validators:` * must be a valid time string * should be >=60s",
    )
    rules: List[CreateLogsAlertgroupsPayloadRulesInner] = Field(description="rules for the alert group")
    __properties: ClassVar[List[str]] = ["interval", "rules"]

    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 UpdateLogsAlertgroupPayload 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 each item in rules (list)
        _items = []
        if self.rules:
            for _item_rules in self.rules:
                if _item_rules:
                    _items.append(_item_rules.to_dict())
            _dict["rules"] = _items
        return _dict

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

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

        _obj = cls.model_validate(
            {
                "interval": obj.get("interval") if obj.get("interval") is not None else "60s",
                "rules": (
                    [CreateLogsAlertgroupsPayloadRulesInner.from_dict(_item) for _item in obj["rules"]]
                    if obj.get("rules") is not None
                    else None
                ),
            }
        )
        return _obj
