Skip to main content

Randomization class and models for ambition/edc

Project description

pypi travis coverage

ambition-rando

Randomization class and model for Ambition

To rebuild the records in RandomizationList:

from django.core.exceptions import ObjectDoesNotExist
from django.contrib.sites.models import Site
from edc_registration.models import RegisteredSubject
from ambition_rando.models import RandomizationList

current_site = Site.objects.get_current()
for obj in RegisteredSubject.on_site.all():
    try:
        randobj = RandomizationList.objects.get(sid=obj.sid)
    except ObjectDoesNotExist:
        print(f'missing for {obj.subject_identifier}, {obj.sid}.')
    else:
        randobj.alocated_site=current_site
        randobj.subject_identifier=obj.subject_identifier
        randobj.allocated_datetime=obj.consent_datetime
        randobj.allocated=True
        randobj.save()

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

Built Distribution

ambition_rando-0.1.16-py3-none-any.whl (35.0 kB view details)

Uploaded Python 3

File details

Details for the file ambition-rando-0.1.16.macosx-10.7-x86_64.tar.gz.

File metadata

  • Download URL: ambition-rando-0.1.16.macosx-10.7-x86_64.tar.gz
  • Upload date:
  • Size: 33.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.0

File hashes

Hashes for ambition-rando-0.1.16.macosx-10.7-x86_64.tar.gz
Algorithm Hash digest
SHA256 3f460b21e3a8853a0a90f5daecb6a8f30c73d202899873374b3e0c1b0ed89ac2
MD5 621c3af4a556c12c366292282f280851
BLAKE2b-256 caf68f6275d0f1bae9fdce8d8ad8b529b4fe21ee8b48f013c7b9e2f8095ee2da

See more details on using hashes here.

File details

Details for the file ambition_rando-0.1.16-py3-none-any.whl.

File metadata

  • Download URL: ambition_rando-0.1.16-py3-none-any.whl
  • Upload date:
  • Size: 35.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.28.1 CPython/3.7.0

File hashes

Hashes for ambition_rando-0.1.16-py3-none-any.whl
Algorithm Hash digest
SHA256 600f29748d5132dac48eb52de38da2891aeb090a0cf6d2387e518eee7c65fdbf
MD5 0df18e4d75847acacfef667cf4a0b356
BLAKE2b-256 0f5f4f0ff0439ec3dbdc642ae872363d3cb159e88d05de9134bfb0d615b500d3

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page