Delete spec

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.specs.delete(
    spec_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)

DELETE

api

dataframer

specs

{spec_id}

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.specs.delete(
    spec_id="182bd5e5-6e1a-4fe4-a799-aa6d9a6ab26e",
)

Authorizations

Authorization

string

header

required

API Key authentication. Format: "Bearer YOUR_API_KEY"

Path Parameters

spec_id

string<uuid>

required

UUID of the spec

Query Parameters

force

boolean

default:false

If true, delete the spec and all associated runs (including their generated files). If false or omitted, returns an error when runs exist.

Response

Spec deleted successfully

Seed Datasets

Specs (data blueprints)

Data Generation Runs

Evaluations

Red Teaming

Data Anonymization

API Keys

Authorizations

Path Parameters

Query Parameters

Response