do_api_call(method: str, path: str, query_params: Optional[dict] = None, body: Optional[dict] = None, headers: Optional[dict] = None) → dict¶
Make a direct API call to Gretel Cloud.
method – “get”, “post”, etc
path – The full path to make the request to, any path params must be already included. Example: “/users/me”
query_params – Optional URL based query parameters
body – An optional JSON payload to send
headers – Any custom headers that need to bet set.
This function will automatically inject the appropiate API hostname and authentication from the Gretel configuration.
poll(job: gretel_client.projects.jobs.Job, wait: int = - 1)¶
job – The job to poll
wait – The time to wait for the job to complete.
submit_docker_local(job: gretel_client.projects.jobs.Job, *, output_dir: Union[str, pathlib.Path] = None, in_data: Union[str, pathlib.Path, None] = None, ref_data: Optional[Dict[str, Union[str, pathlib.Path]]] = None, model_path: Union[str, pathlib.Path, None] = None) → gretel_client.projects.docker.ContainerRun¶
Run a Job from a local docker container.
While the Job is running, the submit_docker_local function will block and periodically send back status updates as the Job progresses.
Note: Please ensure the Job has not already been submitted. If the Job has already been submitted, the run will fail.
job – The job to run. May be either a
output_dir – A directory path to write the output to. If the directory does not exist, the path will be created for you. If no path is specified, the current working directory is used.
in_data – Input data path.
ref_data – Reference data path or dict where values are reference data path
model_path – If you are running a
RecordHandler, this is the path to the model that is being ran.
ContainerRunthat can be used to manage the lifecycle of the associated local docker container.