# 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 datetime import datetime
from pydantic import BaseModel, ConfigDict, Field, StrictStr
from typing import Any, ClassVar, Dict, List, Optional
from typing_extensions import Annotated
from mixpeek.models.export_format import ExportFormat
from typing import Optional, Set
from typing_extensions import Self

class CollectionExportResponse(BaseModel):
    """
    Response model for collection export.  Contains the presigned URL for downloading the exported file. The URL is valid for a limited time (typically 1 hour).
    """ # noqa: E501
    download_url: StrictStr = Field(description="Presigned URL for downloading the exported file. Valid for 1 hour.")
    s3_path: StrictStr = Field(description="Full S3 path where the export is stored (for internal reference).")
    format: ExportFormat = Field(description="The format of the exported file.")
    document_count: Annotated[int, Field(strict=True, ge=0)] = Field(description="Number of documents included in the export.")
    file_size_bytes: Annotated[int, Field(strict=True, ge=0)] = Field(description="Size of the exported file in bytes.")
    exported_at: datetime = Field(description="Timestamp when the export was completed.")
    vectors_download_url: Optional[StrictStr] = Field(default=None, description="Presigned URL for downloading the vectors file (if include_vectors=True). Vectors are exported separately due to their large size.")
    vectors_s3_path: Optional[StrictStr] = Field(default=None, description="Full S3 path for the vectors file (if include_vectors=True).")
    __properties: ClassVar[List[str]] = ["download_url", "s3_path", "format", "document_count", "file_size_bytes", "exported_at", "vectors_download_url", "vectors_s3_path"]

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

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

        _obj = cls.model_validate({
            "download_url": obj.get("download_url"),
            "s3_path": obj.get("s3_path"),
            "format": obj.get("format"),
            "document_count": obj.get("document_count"),
            "file_size_bytes": obj.get("file_size_bytes"),
            "exported_at": obj.get("exported_at"),
            "vectors_download_url": obj.get("vectors_download_url"),
            "vectors_s3_path": obj.get("vectors_s3_path")
        })
        return _obj


