## Get the processing status of a dataset

`datasets.get_status(strdataset_id)  -> DatasetGetStatusResponse`

**get** `/api/v1/datasets/{dataset_id}/status`

Get the processing status of a dataset

### Parameters

- `dataset_id: str`

### Returns

- `class DatasetGetStatusResponse: …`

  - `dataset_id: str`

    Dataset ID

  - `error: Optional[Error]`

    Error details if the dataset failed. Null otherwise.

    - `message: str`

      Error message

  - `progress: Optional[Progress]`

    Processing progress. Null when no run is active.

    - `percent: Optional[int]`

      Progress percentage (0-100)

    - `processed_rows: Optional[int]`

      Number of rows processed so far

    - `total_rows: Optional[int]`

      Total rows to process (samples_to_process or row_count)

  - `row_count: Optional[int]`

    Number of rows in the dataset

  - `status: Literal["pending", "running", "succeeded", "failed"]`

    Current processing status

    - `"pending"`

    - `"running"`

    - `"succeeded"`

    - `"failed"`

### Example

```python
import os
from adaption import Adaption

client = Adaption(
    api_key=os.environ.get("ADAPTION_API_KEY"),  # This is the default and can be omitted
)
response = client.datasets.get_status(
    "dataset_id",
)
print(response.dataset_id)
```

#### Response

```json
{
  "dataset_id": "dataset_id",
  "error": {
    "message": "message"
  },
  "progress": {
    "percent": 0,
    "processed_rows": 0,
    "total_rows": 0
  },
  "row_count": 0,
  "status": "pending"
}
```