# 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: 0.82
    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
from typing import Any, ClassVar, Dict, List, Optional, Union
from typing import Optional, Set
from typing_extensions import Self

class NamespaceListStats(BaseModel):
    """
    Aggregate statistics for a list of namespaces.
    """ # noqa: E501
    total_feature_extractors: Optional[StrictInt] = Field(default=0, description="Total number of feature extractors across all namespaces")
    total_payload_indexes: Optional[StrictInt] = Field(default=0, description="Total number of payload indexes across all namespaces")
    total_documents: Optional[StrictInt] = Field(default=0, description="Total number of documents across all namespaces")
    total_buckets: Optional[StrictInt] = Field(default=0, description="Total number of buckets across all namespaces")
    total_collections: Optional[StrictInt] = Field(default=0, description="Total number of collections across all namespaces")
    total_objects: Optional[StrictInt] = Field(default=0, description="Total number of objects across all namespaces")
    avg_feature_extractors_per_namespace: Optional[Union[StrictFloat, StrictInt]] = Field(default=0.0, description="Average number of feature extractors per namespace")
    avg_payload_indexes_per_namespace: Optional[Union[StrictFloat, StrictInt]] = Field(default=0.0, description="Average number of payload indexes per namespace")
    avg_documents_per_namespace: Optional[Union[StrictFloat, StrictInt]] = Field(default=0.0, description="Average number of documents per namespace")
    avg_buckets_per_namespace: Optional[Union[StrictFloat, StrictInt]] = Field(default=0.0, description="Average number of buckets per namespace")
    avg_collections_per_namespace: Optional[Union[StrictFloat, StrictInt]] = Field(default=0.0, description="Average number of collections per namespace")
    avg_objects_per_namespace: Optional[Union[StrictFloat, StrictInt]] = Field(default=0.0, description="Average number of objects per namespace")
    __properties: ClassVar[List[str]] = ["total_feature_extractors", "total_payload_indexes", "total_documents", "total_buckets", "total_collections", "total_objects", "avg_feature_extractors_per_namespace", "avg_payload_indexes_per_namespace", "avg_documents_per_namespace", "avg_buckets_per_namespace", "avg_collections_per_namespace", "avg_objects_per_namespace"]

    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 NamespaceListStats 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,
        )
        return _dict

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

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

        _obj = cls.model_validate({
            "total_feature_extractors": obj.get("total_feature_extractors") if obj.get("total_feature_extractors") is not None else 0,
            "total_payload_indexes": obj.get("total_payload_indexes") if obj.get("total_payload_indexes") is not None else 0,
            "total_documents": obj.get("total_documents") if obj.get("total_documents") is not None else 0,
            "total_buckets": obj.get("total_buckets") if obj.get("total_buckets") is not None else 0,
            "total_collections": obj.get("total_collections") if obj.get("total_collections") is not None else 0,
            "total_objects": obj.get("total_objects") if obj.get("total_objects") is not None else 0,
            "avg_feature_extractors_per_namespace": obj.get("avg_feature_extractors_per_namespace") if obj.get("avg_feature_extractors_per_namespace") is not None else 0.0,
            "avg_payload_indexes_per_namespace": obj.get("avg_payload_indexes_per_namespace") if obj.get("avg_payload_indexes_per_namespace") is not None else 0.0,
            "avg_documents_per_namespace": obj.get("avg_documents_per_namespace") if obj.get("avg_documents_per_namespace") is not None else 0.0,
            "avg_buckets_per_namespace": obj.get("avg_buckets_per_namespace") if obj.get("avg_buckets_per_namespace") is not None else 0.0,
            "avg_collections_per_namespace": obj.get("avg_collections_per_namespace") if obj.get("avg_collections_per_namespace") is not None else 0.0,
            "avg_objects_per_namespace": obj.get("avg_objects_per_namespace") if obj.get("avg_objects_per_namespace") is not None else 0.0
        })
        return _obj


