# 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: 0.81.1
    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 pydantic import BaseModel, ConfigDict, Field, StrictFloat, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Union
from mixpeek.models.slow_query_details import SlowQueryDetails
from typing import Optional, Set
from typing_extensions import Self

class SlowQueriesResponse(BaseModel):
    """
    Response for slow queries endpoint.
    """ # noqa: E501
    namespace_id: StrictStr = Field(description="Namespace ID analyzed")
    time_range_days: StrictInt = Field(description="Number of days analyzed")
    latency_threshold_ms: Union[StrictFloat, StrictInt] = Field(description="Latency threshold used")
    slow_queries: List[SlowQueryDetails] = Field(description="Slow query details")
    total_slow_queries: StrictInt = Field(description="Total slow queries found")
    __properties: ClassVar[List[str]] = ["namespace_id", "time_range_days", "latency_threshold_ms", "slow_queries", "total_slow_queries"]

    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 SlowQueriesResponse 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 slow_queries (list)
        _items = []
        if self.slow_queries:
            for _item_slow_queries in self.slow_queries:
                if _item_slow_queries:
                    _items.append(_item_slow_queries.to_dict())
            _dict['slow_queries'] = _items
        return _dict

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

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

        _obj = cls.model_validate({
            "namespace_id": obj.get("namespace_id"),
            "time_range_days": obj.get("time_range_days"),
            "latency_threshold_ms": obj.get("latency_threshold_ms"),
            "slow_queries": [SlowQueryDetails.from_dict(_item) for _item in obj["slow_queries"]] if obj.get("slow_queries") is not None else None,
            "total_slow_queries": obj.get("total_slow_queries")
        })
        return _obj


