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
Release files for dmax 0.0.10
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| dmax-0.0.10.tar.gz | 121.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| dmax-0.0.10-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 137.6 kB
Release files / dmax-0.0.10.tar.gz
| Download URL | dmax-0.0.10.tar.gz |
|---|---|
| Size | 121.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / dmax-0.0.10-py3-none-any.whl
| Download URL | dmax-0.0.10-py3-none-any.whl |
|---|---|
| Size | 15.7 kB |
| Tags | Python 3 |
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