# 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: 1.3.0
    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, StrictStr
from typing import Any, ClassVar, Dict, List
from typing import Optional, Set
from typing_extensions import Self

class FolderItem(BaseModel):
    """
    Represents a folder in Google Drive for folder selection in sync configuration.  Used by the list folders endpoint to help users browse and select folders for sync operations. Only available for Google Drive connections.
    """ # noqa: E501
    id: StrictStr = Field(description="REQUIRED. Folder ID in Google Drive. Use this ID when configuring sync operations. Format: Google Drive folder identifier (e.g., '0AH-Xabc123').")
    name: StrictStr = Field(description="REQUIRED. Display name of the folder. Human-readable name shown in the Google Drive UI.")
    path: StrictStr = Field(description="REQUIRED. Full path from root to this folder. Format: '/' for root, '/FolderName' for first level, '/Parent/Child' for nested folders.")
    mime_type: StrictStr = Field(description="REQUIRED. MIME type identifier for folders. Always 'application/vnd.google-apps.folder' for folders.")
    __properties: ClassVar[List[str]] = ["id", "name", "path", "mime_type"]

    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 FolderItem 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 FolderItem from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "id": obj.get("id"),
            "name": obj.get("name"),
            "path": obj.get("path"),
            "mime_type": obj.get("mime_type")
        })
        return _obj


