dmax 0.0.4

dmax

An (incomplete) alternative API client for data management systems at the Advanced Photon Source that supports both synchronous and asynchronous API calls.

Why dmax?

The aps-dm-api package is available for accessing the various APIs in python. Compared to aps-dm-api, dmax is:

• Awaitable - dmax has both a block and asynchronous client that share the same logic

• Explicit - parameters can be passed to a client rather than relying primarily on environmental variables.

• On PyPI - aps-dm-api can only be installed from conda-forge.

While we hope that dmax is useful, it is not intended as a complete replacement for aps-dm-api. Features are added only as needed.

Installation

The following will download the package and load it into the python environment.

pip install dmax

Usage

The main interface for dmax is the dmax.Client class, or its asynchronous counterpart dmax.AsyncClient.

dmax can be used either by as a stand-alone library, where the data management API parameters are passed in explicitly, or embedded in an existing data-management environment, where the API connection parameters are defined in environmental variables.

Stand-alone

The client is given the login credentials, along with the station name and any API URIs that it needs to connect.

import dmax

client = dmax.Client(
    username="spam",
    password="secret",
    station_name="255IDZ",
    scheduling_uri: str = "https://example.com:11337",
    data_storage_uri: str = "https://example.com:22237",
    processing_uri: str = "https://example.com:55536",
)

proposals = client.proposals(cycle="2026-3")

experiments = client.experiments()
experiment = client.experiment(name="cabana-2026-3")

If the URI’s are omitted, the client will attempt to guess sensible defaults from the station name, for example station_name=”255IDZ” will produce URIs like https://s255idzdm.xray.aps.anl.gov:55536.

Embedded in a DM Environment

The APS data management system uses an extensive set of environmental variables to handle the API parameters. If any parameters or not provided to the client, environmental variables will be used if available:

import dmax

client = dmax.Client()

esafs = client.esafs(year=2026)

Running the Tests

uv run --dev pytest