Progress API for the Data Analytics Software Framework (DASF)
DASF: Progress API
is part of the Data Analytics Software Framework (DASF, https://codebase.helmholtz.cloud/dasf),
developed at the GFZ German Research Centre for Geosciences (https://www.gfz-potsdam.de).
It is funded by the Initiative and Networking Fund of the Helmholtz Association through the Digital Earth project
(https://www.digitalearth-hgf.de/).
DASF: Progress API
provides a light-weight tree-based structure to be sent via the DASF RCP messaging protocol.
It's generic design supports deterministic as well as non-deterministic progress reports.
While DASF: Messaging Python
provides the necessary implementation to distribute
the progress reports from the reporting backend modules,
DASF: Web
includes ready to use components to visualize the reported progress.
Installation
Install this package in a dedicated python environment via
python -m venv venv
source venv/bin/activate
pip install deprogessapi
To use this in a development setup, clone the source code from
gitlab, start the development server and make your changes::
git clone https://codebase.helmholtz.cloud/dasf/dasf-progress-api
cd dasf-progress-api
python -m venv venv
source venv/bin/activate
make dev-install
More detailed installation instructions my be found in the docs.
Service Desk
For everyone without a Geomar Gitlab account, we setup the Service Desk feature for this repository.
It lets you communicate with the developers via a repository specific eMail address. Each request will be tracked via the Gitlab issuse tracker.
eMail: gitlab+digital-earth-dasf-dasf-progress-api-2274-issue-@git-issues.geomar.de
Usage
A progress report is stored in a tree structure. So there will be one 'root' report instance containing multiple 'sub-reports'.
In order to report the progress simply add a reporter argument with type ProgressReport
to the exposed method, e.g.
from deprogressapi import ProgressReport
def some_exposed_method(reporter: Optional[ProgressReport] = ProgressReport(
step_message="some progress message")) -> str:
For a report instance new subreports can be created via the create_subreport
method.
Each created report is published (sent to the requesting client) automatically upon creation and on completion.
sub_report = root_report.create_subreport(step_message="Calculating something")
sub_report.complete()
All sub-reports are again instances of ProgressReport
, so you can create more sub-reports for each.
error handling
In order to report an error, you provide an error status argument to the complete
method. The corresponding error message can be set via the reports step_message
field.
from deprogressapi.base import Status
except Exception as e:
error = str(e)
progress_report.step_message = "error '{msg}': {err}".format(msg=progress_report.step_message, err=error)
progress_report.complete(Status.ERROR)
Recommended Software Citation
Eggert, Daniel; Dransch, Doris (2021): DASF: Progress API: A progress reporting structure for the data analytics software framework. V. v0.1.4. GFZ Data Services. https://doi.org/10.5880/GFZ.1.4.2021.007
Technical note
This package has been generated from the template
https://codebase.helmholtz.cloud/hcdc/software-templates/python-package-template.git.
See the template repository for instructions on how to update the skeleton for
this package.
License information
Copyright © 2020-2024 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences
Code files in this repository are licensed under the
Apache-2.0, if not stated otherwise in the file.
Documentation files in this repository are licensed under CC-BY-4.0, if not stated otherwise in the file.
Supplementary and configuration files in this repository are licensed
under CC0-1.0, if not stated otherwise
in the file.
Please check the header of the individual files for more detailed
information.
License management
License management is handled with reuse
.
If you have any questions on this, please have a look into the
contributing guide or contact the maintainers of
dasf-progress-api
.