nv_dfm_core.targets.local.LocalSessionDelegate#
- class nv_dfm_core.targets.local.LocalSessionDelegate(session, federation_name, homesite, logger, max_concurrent_jobs=4, sites=None, **kwargs)[source]#
- Parameters:
session (Any)
federation_name (str)
homesite (str)
logger (Logger)
max_concurrent_jobs (int)
sites (list[str] | None)
kwargs (Any)
- execute(pipeline, next_frame, input_params, callback_runner, debug, options=None, force_modgen=False)[source]#
Execute a prepared pipeline.
- Parameters:
pipeline (PreparedPipeline) – The prepared pipeline to execute.
next_frame (Frame) – The next frame for the pipeline.
input_params (list[tuple[Frame, dict[str, Any]]]) – List of (frame, params) tuples for input.
callback_runner (CallbackRunner) – The callback runner for receiving results.
debug (bool) – Whether to run in debug mode.
options (Any | None) – Target-specific options.
force_modgen (bool) – If True, force code regeneration.
- Returns:
Job object for the execution.
- Return type:
- reattach(job_id, callback_runner)[source]#
Reattach to an existing local job (within the same process + same connected Session only).
- Parameters:
job_id (str) – The ID of the job to reattach to
callback_runner (CallbackRunner | None) – The callback runner for receiving results, or None for informational-only attachment (status/abort only).
- Returns:
Job object for the existing local job. If job_id is not known to this local federation process, returns a job with UNKNOWN status.
- Return type:
Note
In local mode, jobs are tracked in-memory by the FederationRunner instance created by this Session’s connect(). Reattachment therefore requires:
the same OS process, AND
the same connected Session (i.e., the same FederationRunner instance).
Reattachment works for both running and finished jobs for the lifetime of that runner.