Skip to main content

Base classes for off study process for clinicedc/edc

Project description

pypi actions codecov downloads

edc-offstudy

Base classes for off study process

The offstudy model is linked to scheduled models by the visit schedule.

# visit_schedule.py
...
visit_schedule1 = VisitSchedule(
    name='visit_schedule1',
    offstudy_model='edc_offstudy.subjectoffstudy',
    ...)
...

This module includes an offstudy model SubjectOffstudy.

You may also declare your own using the OffstudyModelMixin:

class SubjectOffstudy(OffstudyModelMixin, BaseUuidModel):

     pass

If you declare your own, be sure to reference it correctly in the visit schedule:

# visit_schedule.py
...
visit_schedule1 = VisitSchedule(
    name='visit_schedule1',
    offstudy_model='myapp.subjectoffstudy',
    ...)
...

When the offstudy model is saved, the data is validated relative to the consent and visit model. An offstudy datetime should make sense relative to these model instances for the subject. Unused appointments in the future relative to the offstudy datetime will be removed.

Note: There is some redundancy with this model and the offschedule model from edc-visit-schedule. This needs to be resolved.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

edc-offstudy-0.3.15.tar.gz (37.0 kB view hashes)

Uploaded source

Built Distribution

edc_offstudy-0.3.15-py3-none-any.whl (45.1 kB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page