Python
import os
from dataframer import Dataframer
client = Dataframer(
api_key=os.environ.get("DATAFRAMER_API_KEY"), # This is the default and can be omitted
)
client.dataframer.runs.cancel(
"run_id",
)curl https://df-api.dataframer.ai/api/dataframer/runs/$RUN_ID/cancel/ \
-X POST \
-H "Authorization: Bearer $DATAFRAMER_API_KEY"{
"error": "Cannot cancel job. Only PROCESSING or PENDING jobs can be canceled."
}Data Generation Runs
Cancel run
Cancel a running or pending generation job
POST
/
api
/
dataframer
/
runs
/
{run_id}
/
cancel
/
Python
import os
from dataframer import Dataframer
client = Dataframer(
api_key=os.environ.get("DATAFRAMER_API_KEY"), # This is the default and can be omitted
)
client.dataframer.runs.cancel(
"run_id",
)curl https://df-api.dataframer.ai/api/dataframer/runs/$RUN_ID/cancel/ \
-X POST \
-H "Authorization: Bearer $DATAFRAMER_API_KEY"{
"error": "Cannot cancel job. Only PROCESSING or PENDING jobs can be canceled."
}