`porestore.job` ¶

Persistent remote jobs and explicit result retrieval.

`Result` `dataclass` ¶

Outputs and metadata exactly as returned by the public API, including units.

`job_id: str` `instance-attribute` ¶

`metrics: dict` `instance-attribute` ¶

`network` `property` ¶

The last explicitly downloaded network, or None; reading performs no I/O.

`network_metadata` `property` ¶

Stored units and artifact version from the last explicit network download.

`solution` `property` ¶

`download_network(*, refresh: bool = False)` ¶

Download a NumPy network dictionary in its stored units; OpenPNM is optional.

`Job` ¶

An accepted remote job. Reading properties performs no network requests.

`client = client` `instance-attribute` ¶

`idempotency_key = idempotency_key` `instance-attribute` ¶

`reused = reused` `instance-attribute` ¶

`id` `property` ¶

`status` `property` ¶

`image_id` `property` ¶

`analysis_type` `property` ¶

`metadata` `property` ¶

`from_id(job_id, *, client=None)` `classmethod` ¶

`refresh() -> Job` ¶

`wait(*, timeout: float = 600.0, poll_interval: float = 2.0) -> Job` ¶

`get_result(*, wait: bool = False, timeout: float = 600.0, poll_interval: float = 2.0, refresh: bool = False) -> Result` ¶

Retrieve outputs, using persistent cache unless refresh=True; waiting is opt-in.

porestore.job ¶

Result dataclass ¶

job_id: str instance-attribute ¶

metrics: dict instance-attribute ¶

network property ¶

network_metadata property ¶

solution property ¶

download_network(*, refresh: bool = False) ¶

Job ¶

client = client instance-attribute ¶

idempotency_key = idempotency_key instance-attribute ¶

reused = reused instance-attribute ¶

id property ¶

status property ¶

image_id property ¶

analysis_type property ¶

metadata property ¶

from_id(job_id, *, client=None) classmethod ¶

refresh() -> Job ¶

wait(*, timeout: float = 600.0, poll_interval: float = 2.0) -> Job ¶

get_result(*, wait: bool = False, timeout: float = 600.0, poll_interval: float = 2.0, refresh: bool = False) -> Result ¶