MODULE REFERENCE

datasets

anomx.integrations.platform.datasets

Datasets connected to an Anomx platform.

An AnomxDataset bridges local work and the platform's data module:

```python dataset = AnomxDataset.from_anomx("data_dataset:42f1…") # load by identifier observation_set = dataset.to_observation_set()

dataset = AnomxDataset(name="lab-run-7", frame=frame) dataset.sync_with_anomx() # create it in anomx ```

Credentials come from the /.anomx home the CLI agent maintains; without a configured platform connection an AnomxConnectionError is raised.

classView source ↗

AnomxConnectionError

AnomxConnectionError

Bases: RuntimeError

Raised when no platform connection is configured or a call fails.

classView source ↗

AnomxDataset

AnomxDataset(*, identifier: str | None = None, name: str = '', description: str = '', frame: pd.DataFrame | None = None, metadata: dict[str, Any] | None = None)

A dataset that can be loaded from or created on an Anomx platform.

Signature parameters
Parameter	Type	Default
`identifier`keyword only	`str \| None`	`None`
`name`keyword only	`str`	`''`
`description`keyword only	`str`	`''`
`frame`keyword only	`pd.DataFrame \| None`	`None`
`metadata`keyword only	`dict[str, Any] \| None`	`None`

Members

from_anomxclassmethod

# AnomxDataset.from_anomx Source ↗

from_anomx(identifier: str, *, home: Any | None = None) -> 'AnomxDataset'

Load a whole dataset (metadata and samples) from the platform.

Signature parameters
Parameter	Type	Default
`identifier`	`str`	`required`
`home`keyword only	`Any \| None`	`None`

Returns 'AnomxDataset'

sync_with_anomxmethod

# AnomxDataset.sync_with_anomx Source ↗

sync_with_anomx(*, home: Any | None = None) -> str

Create this locally composed dataset on the platform.

Returns the created dataset identifier and stores it on the instance. Sample upload is not part of this first pass — the platform object is created with the dataset's metadata.

Signature parameters
Parameter	Type	Default
`home`keyword only	`Any \| None`	`None`

Returns str

to_observation_setmethod

# AnomxDataset.to_observation_set Source ↗

to_observation_set(**kwargs: Any) -> ObservationSet

Materialize the loaded samples as the canonical observation set.

Signature parameters
Parameter	Type	Default
`**kwargs`	`Any`	`—`

Returns ObservationSet

to_csvmethod

# AnomxDataset.to_csv Source ↗

to_csv() -> str

Serialize the samples as CSV (mirrors the platform export format).

Returns str

functionView source ↗

read_platform_connection

read_platform_connection(home: Any | None = None) -> dict[str, str]

Read the platform URL and token from the /.anomx home.

Signature parameters
Parameter	Type	Default
`home`	`Any \| None`	`None`

Returns dict[str, str]

attributeView source ↗

REQUEST_TIMEOUT_SECONDS

REQUEST_TIMEOUT_SECONDS = 30