# 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 typing_extensions import Annotated
from typing import Optional, Set
from typing_extensions import Self

class S3TagSource(BaseModel):
    """
    Extract value from an S3/Tigris object tag.  S3 object tags are key-value pairs attached to objects, commonly used for categorization, cost allocation, and metadata. Tags are limited to 10 per object with keys up to 128 chars and values up to 256 chars.  Provider Compatibility: S3, Tigris, MinIO, DigitalOcean Spaces, Wasabi  Example S3 CLI to set tag:     aws s3api put-object-tagging --bucket my-bucket --key video.mp4 \\         --tagging 'TagSet=[{Key=category,Value=marketing}]'  Example mapping:     {\"type\": \"tag\", \"key\": \"category\"} -> extracts \"marketing\" from the tag  Attributes:     type: Must be \"tag\" to identify this source type     key: The tag key to extract (case-sensitive, max 128 chars)
    """ # noqa: E501
    type: Optional[StrictStr] = Field(default='tag', description="Source type identifier. Must be 'tag' for S3/Tigris object tags.")
    key: Annotated[str, Field(min_length=1, strict=True, max_length=128)] = Field(description="The tag key to extract. Case-sensitive. Must match the exact tag key on the S3/Tigris object. Common examples: 'category', 'project', 'owner', 'environment'. Maximum length: 128 characters.")
    __properties: ClassVar[List[str]] = ["type", "key"]

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

        if value not in set(['tag']):
            raise ValueError("must be one of enum values ('tag')")
        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 S3TagSource 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 S3TagSource from a dict"""
        if obj is None:
            return None

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

        _obj = cls.model_validate({
            "type": obj.get("type") if obj.get("type") is not None else 'tag',
            "key": obj.get("key")
        })
        return _obj


