# 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, StrictBool, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from mixpeek.models.unified_extractor_response import UnifiedExtractorResponse
from typing import Optional, Set
from typing_extensions import Self

class UnifiedExtractorListResponse(BaseModel):
    """
    Response for listing all extractors available to a namespace.
    """ # noqa: E501
    success: Optional[StrictBool] = Field(default=True, description="Whether the request succeeded")
    extractors: List[UnifiedExtractorResponse] = Field(description="List of all available extractors")
    total: StrictInt = Field(description="Total number of extractors")
    namespace_id: StrictStr = Field(description="Namespace ID")
    builtin_count: StrictInt = Field(description="Number of builtin extractors")
    custom_count: StrictInt = Field(description="Number of custom extractors (org + namespace level)")
    __properties: ClassVar[List[str]] = ["success", "extractors", "total", "namespace_id", "builtin_count", "custom_count"]

    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 UnifiedExtractorListResponse 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 extractors (list)
        _items = []
        if self.extractors:
            for _item_extractors in self.extractors:
                if _item_extractors:
                    _items.append(_item_extractors.to_dict())
            _dict['extractors'] = _items
        return _dict

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

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

        _obj = cls.model_validate({
            "success": obj.get("success") if obj.get("success") is not None else True,
            "extractors": [UnifiedExtractorResponse.from_dict(_item) for _item in obj["extractors"]] if obj.get("extractors") is not None else None,
            "total": obj.get("total"),
            "namespace_id": obj.get("namespace_id"),
            "builtin_count": obj.get("builtin_count"),
            "custom_count": obj.get("custom_count")
        })
        return _obj


