# coding: utf-8

"""
    Instana REST API documentation

    Documentation for INSTANA REST API

    The version of the OpenAPI document: 1.315.1425
    Contact: support@instana.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 pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictFloat, StrictInt, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional, Union
from typing import Optional, Set
from typing_extensions import Self

class MetricQuery(BaseModel):
    """
    MetricQuery
    """ # noqa: E501
    value: Optional[Union[StrictFloat, StrictInt]] = None
    aggregation: Optional[StrictStr] = None
    cross_series_aggregation: Optional[StrictStr] = Field(default=None, alias="crossSeriesAggregation")
    granularity: Optional[StrictInt] = None
    metric: Optional[StrictStr] = None
    regex: Optional[StrictBool] = None
    required: Optional[StrictBool] = None
    operation: Optional[ArithmeticOperation] = None
    __properties: ClassVar[List[str]] = ["value", "aggregation", "crossSeriesAggregation", "granularity", "metric", "regex", "required", "operation"]

    @field_validator('aggregation')
    def aggregation_validate_enum(cls, value):
        """Validates the enum"""
        if value is None:
            return value

        if value not in set(['SUM', 'MEAN', 'MAX', 'MIN', 'P25', 'P50', 'P75', 'P90', 'P95', 'P98', 'P99', 'P99_9', 'P99_99', 'DISTINCT_COUNT', 'SUM_POSITIVE', 'PER_SECOND', 'INCREASE']):
            raise ValueError("must be one of enum values ('SUM', 'MEAN', 'MAX', 'MIN', 'P25', 'P50', 'P75', 'P90', 'P95', 'P98', 'P99', 'P99_9', 'P99_99', 'DISTINCT_COUNT', 'SUM_POSITIVE', 'PER_SECOND', 'INCREASE')")
        return value

    @field_validator('cross_series_aggregation')
    def cross_series_aggregation_validate_enum(cls, value):
        """Validates the enum"""
        if value is None:
            return value

        if value not in set(['SUM', 'MEAN', 'MAX', 'MIN', 'P25', 'P50', 'P75', 'P90', 'P95', 'P98', 'P99', 'P99_9', 'P99_99', 'DISTINCT_COUNT', 'SUM_POSITIVE', 'PER_SECOND', 'INCREASE']):
            raise ValueError("must be one of enum values ('SUM', 'MEAN', 'MAX', 'MIN', 'P25', 'P50', 'P75', 'P90', 'P95', 'P98', 'P99', 'P99_9', 'P99_99', 'DISTINCT_COUNT', 'SUM_POSITIVE', 'PER_SECOND', 'INCREASE')")
        return value

    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 MetricQuery 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 operation
        if self.operation:
            _dict['operation'] = self.operation.to_dict()
        return _dict

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

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

        _obj = cls.model_validate({
            "value": obj.get("value"),
            "aggregation": obj.get("aggregation"),
            "crossSeriesAggregation": obj.get("crossSeriesAggregation"),
            "granularity": obj.get("granularity"),
            "metric": obj.get("metric"),
            "regex": obj.get("regex"),
            "required": obj.get("required"),
            "operation": ArithmeticOperation.from_dict(obj["operation"]) if obj.get("operation") is not None else None
        })
        return _obj

from instana_client.models.arithmetic_operation import ArithmeticOperation
# TODO: Rewrite to not use raise_errors
MetricQuery.model_rebuild(raise_errors=False)

