import os
from scale_gp import SGPClient

client = SGPClient(
    api_key=os.environ.get("SGP_API_KEY"),  # This is the default and can be omitted
)
application_variant_with_scores = client.application_variant_reports.create(
    application_variant_id="application_variant_id",
    evaluation_dataset_ids=["string"],
)
print(application_variant_with_scores.id)

{
  "application_spec_id": "<string>",
  "application_variant_id": "<string>",
  "id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "account_id": "<string>",
  "updated_at": "2023-11-07T05:31:56Z",
  "evaluation_datasets": [
    {
      "generation_status": "Pending",
      "evaluation_dataset_version_num": 123,
      "evaluation_dataset": {
        "name": "<string>",
        "schema_type": "GENERATION",
        "id": "<string>",
        "created_at": "2023-11-07T05:31:56Z",
        "updated_at": "2023-11-07T05:31:56Z",
        "account_id": "<string>",
        "created_by_user_id": "<string>",
        "created_by_identity_type": "user",
        "knowledge_base_id": "<string>",
        "evaluation_dataset_metadata": {},
        "out_of_date": true,
        "vendor": "scale",
        "archived_at": "2023-11-07T05:31:56Z",
        "schema_sub_type": "summarization"
      },
      "scored_test_case_count": 123
    }
  ],
  "score": 123,
  "category_scores": [
    {
      "category": "<string>",
      "metric_scores": [
        {
          "metric_type": "<string>",
          "category": "<string>",
          "score": 123
        }
      ],
      "score": 123
    }
  ]
}