# coding: utf-8

"""
    authentik

    Making authentication simple.

    The version of the OpenAPI document: 2025.10.0-rc1
    Contact: hello@goauthentik.io
    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, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from typing_extensions import Annotated
from uuid import UUID
from authentik_client.models.policy_engine_mode import PolicyEngineMode
from authentik_client.models.user_matching_mode_enum import UserMatchingModeEnum
from typing import Optional, Set
from typing_extensions import Self

class TelegramSourceRequest(BaseModel):
    """
    Source Serializer
    """ # noqa: E501
    name: Annotated[str, Field(min_length=1, strict=True)] = Field(description="Source's display Name.")
    slug: Annotated[str, Field(min_length=1, strict=True, max_length=50)] = Field(description="Internal source name, used in URLs.")
    enabled: Optional[StrictBool] = None
    authentication_flow: Optional[UUID] = Field(default=None, description="Flow to use when authenticating existing users.")
    enrollment_flow: Optional[UUID] = Field(default=None, description="Flow to use when enrolling new users.")
    user_property_mappings: Optional[List[UUID]] = None
    group_property_mappings: Optional[List[UUID]] = None
    policy_engine_mode: Optional[PolicyEngineMode] = None
    user_matching_mode: Optional[UserMatchingModeEnum] = Field(default=None, description="How the source determines if an existing user should be authenticated or a new user enrolled.")
    user_path_template: Optional[Annotated[str, Field(min_length=1, strict=True)]] = None
    bot_username: Annotated[str, Field(min_length=1, strict=True)] = Field(description="Telegram bot username")
    bot_token: Annotated[str, Field(min_length=1, strict=True)] = Field(description="Telegram bot token")
    request_message_access: Optional[StrictBool] = Field(default=None, description="Request access to send messages from your bot.")
    pre_authentication_flow: UUID = Field(description="Flow used before authentication.")
    __properties: ClassVar[List[str]] = ["name", "slug", "enabled", "authentication_flow", "enrollment_flow", "user_property_mappings", "group_property_mappings", "policy_engine_mode", "user_matching_mode", "user_path_template", "bot_username", "bot_token", "request_message_access", "pre_authentication_flow"]

    @field_validator('slug')
    def slug_validate_regular_expression(cls, value):
        """Validates the regular expression"""
        if not re.match(r"^[-a-zA-Z0-9_]+$", value):
            raise ValueError(r"must validate the regular expression /^[-a-zA-Z0-9_]+$/")
        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 TelegramSourceRequest 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,
        )
        # set to None if authentication_flow (nullable) is None
        # and model_fields_set contains the field
        if self.authentication_flow is None and "authentication_flow" in self.model_fields_set:
            _dict['authentication_flow'] = None

        # set to None if enrollment_flow (nullable) is None
        # and model_fields_set contains the field
        if self.enrollment_flow is None and "enrollment_flow" in self.model_fields_set:
            _dict['enrollment_flow'] = None

        return _dict

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

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

        _obj = cls.model_validate({
            "name": obj.get("name"),
            "slug": obj.get("slug"),
            "enabled": obj.get("enabled"),
            "authentication_flow": obj.get("authentication_flow"),
            "enrollment_flow": obj.get("enrollment_flow"),
            "user_property_mappings": obj.get("user_property_mappings"),
            "group_property_mappings": obj.get("group_property_mappings"),
            "policy_engine_mode": obj.get("policy_engine_mode"),
            "user_matching_mode": obj.get("user_matching_mode"),
            "user_path_template": obj.get("user_path_template"),
            "bot_username": obj.get("bot_username"),
            "bot_token": obj.get("bot_token"),
            "request_message_access": obj.get("request_message_access"),
            "pre_authentication_flow": obj.get("pre_authentication_flow")
        })
        return _obj


