deprogressapi 0.2.2

basic back-end progress api for the data analytics software framework dasf

dasf-progress-api

DASF: Progress API is part of the Data Analytics Software Framework (DASF, https://git.geomar.de/digital-earth/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.

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Usage

A progress report is stored in a tree structure. So there will be one 'root' report instance containing multiple 'sub-reports'.

The root report will be initialized directly. The contructor demands a send_handler argument, so we need to create one first. The dasf-messaging-python module provides a ready to use implementation for the send_handler via the ProgressSendHandler class. In order to instantiate the send handler you need to pass the PulsarMessageConsumer that is used to receive the request that is monitored, as well as the corresponding request message. You might add additional message properties via the msg_props dictionary.

from demessaging.progress_send_handler import ProgressSendHandler

send_handler=ProgressSendHandler(pulsar=self.__pulsar,
                                 request_msg=request_msg,
                                 msg_props={'additional': 'some addtional property'})

Once we have a send_handler we can use it to create the 'root' progress report for the request. In case we already know how many steps (sub-reports) there are going to be on the next level, we can pass it via the optional steps argument.

root_report = ProgressReport(step_message="Label/message of the root report",
                                 send_handler=send_handler,
                                 steps=2)

Once we have the root report instance we create new subreports for it via the create_subreport method. Each created report is published automatically upon creation and completion.

# create a subreport
sub_report = root_report.create_subreport(step_message="Calculating something")

# execute some logic
# ...

# mark the sub-report as compelte
sub_report.complete()

All sub-reports are again instances of ProgressReport, so you can create more sub-reports for each.

error handling

For now there is no distinct error flag in the report. But you can update the step_message prop before marking it as complete to indicate an error.

# some code that raises an exception
# ...
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()

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

License

Copyright 2021 Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences, Potsdam, Germany / DASF Data Analytics Software Framework

Licensed under the Apache License, Version 2.0 (the "License");
you may not use these files except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

Contact

Dr.-Ing. Daniel Eggert
eMail: [e-mail]

Helmholtz Centre Potsdam GFZ German Research Centre for Geoscienes
Section 1.4 Remote Sensing & Geoinformatics
Telegrafenberg
14473 Potsdam
Germany