# 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, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from mixpeek.models.credentials import Credentials
from typing import Optional, Set
from typing_extensions import Self

class GoogleDriveConfig(BaseModel):
    """
    Google Drive and Google Workspace shared drive configuration.  This configuration enables Mixpeek to connect to Google Drive for automated file ingestion and synchronization. Supports both personal Drive and Google Workspace shared drives (formerly Team Drives).  Authentication Options:     - Service Account: Recommended for production. No user interaction required.     - OAuth2: Suitable for personal Drive access or development.  Requirements:     - Google Drive API enabled in Google Cloud Console     - Appropriate authentication credentials configured     - Files/folders shared with the service account or OAuth user     - Network connectivity to drive.googleapis.com  Use Cases:     - Sync marketing materials from shared drives     - Ingest documents from team collaboration folders     - Monitor and process uploaded media files     - Archive and search historical documents
    """ # noqa: E501
    provider_type: Optional[StrictStr] = 'google_drive'
    credentials: Credentials
    shared_drive_id: Optional[StrictStr] = Field(default=None, description="NOT REQUIRED. Google Workspace shared drive (Team Drive) identifier. When provided, sync operations are scoped to this shared drive only. When omitted, syncs from 'My Drive' of the authenticated account. Find ID: Open shared drive in browser, copy ID from URL. Format: 0A{alphanumeric-string}")
    impersonate_user: Optional[StrictStr] = Field(default=None, description="NOT REQUIRED. Email address to impersonate when using service account credentials. Requires domain-wide delegation to be enabled for the service account. Used in G Suite environments to access files as a specific user. When omitted, uses the service account's own access. Format: Valid email address in the G Suite domain.")
    __properties: ClassVar[List[str]] = ["provider_type", "credentials", "shared_drive_id", "impersonate_user"]

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

        if value not in set(['google_drive']):
            raise ValueError("must be one of enum values ('google_drive')")
        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 GoogleDriveConfig 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 credentials
        if self.credentials:
            _dict['credentials'] = self.credentials.to_dict()
        return _dict

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

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

        _obj = cls.model_validate({
            "provider_type": obj.get("provider_type") if obj.get("provider_type") is not None else 'google_drive',
            "credentials": Credentials.from_dict(obj["credentials"]) if obj.get("credentials") is not None else None,
            "shared_drive_id": obj.get("shared_drive_id"),
            "impersonate_user": obj.get("impersonate_user")
        })
        return _obj


