import os
from dataframer import Dataframer

client = Dataframer(
    api_key=os.environ.get("DATAFRAMER_API_KEY"),  # This is the default and can be omitted
)
response = client.dataframer.seed_datasets.create_from_zip(
    name="name",
    zip_file=b"Example data",
)
print(response.id)

curl --request POST \
  --url https://df-api.dataframer.ai/api/dataframer/seed-datasets/create-from-zip/ \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: multipart/form-data' \
  --form 'name=<string>' \
  --form zip_file='@example-file' \
  --form 'description=<string>'

{
  "id": "550e8400-e29b-41d4-a716-446655440000",
  "name": "Support Ticket Conversations",
  "description": "Customer support chat logs organized by ticket",
  "dataset_type": "MULTI_FOLDER",
  "file_count": 10,
  "folder_count": 2,
  "created_at": "2025-01-15T10:30:00Z",
  "updated_at": "2025-01-15T10:30:00Z",
  "created_by_email": "[email protected]"
}