Skip to main content

LIMS/lab classes for clinicedc/edc projects

Project description

pypi actions codecov downloads

edc-lab

Add to settings:

INSTALLED_APPS = [
    ...
    'edc_lab.apps.AppConfig',
    ...
]

Configuration

Create aliquot types:

# aliquot types
wb = AliquotType(name='whole_blood', alpha_code='WB', numeric_code='02')
bc = AliquotType(name='buffy_coat', alpha_code='BC', numeric_code='16')
pl = AliquotType(name='plasma', alpha_code='PL', numeric_code='32')

Add possible derivatives to an aliquot type:

# in this case, plasma and buffy coat are possible derivatives
wb.add_derivatives(pl, bc)

Set up a processing profile:

viral_load = ProcessingProfile(
    name='viral_load', aliquot_type=wb)
process_bc = Process(aliquot_type=bc, aliquot_count=4)
process_pl = Process(aliquot_type=pl, aliquot_count=2)
viral_load.add_processes(process_bc, process_pl)

Create a``panel`` that uses the processing profile:

panel = RequisitionPanel(
    name='Viral Load',
    processing_profile=viral_load)

Add the panel (and others) to a lab profile:

lab_profile = LabProfile(
    name='lab_profile',
    requisition_model='edc_lab.subjectrequisition')
lab_profile.add_panel(panel)

Register the lab_profile with the site global:

site_labs.register(lab_profile)

Usage

Create a requisition model instance:

requisition = SubjectRequisition.objects.create(
    subject_visit=self.subject_visit,
    panel_name=self.panel.name,
    is_drawn=YES)

Pass the requisition to Specimen

specimen = Specimen(requisition=requisition)

Process:

specimen.process()

Aliquots have been created according to the configured processing profile:

>>> specimen.primary_aliquot.identifier
'99900GV63F00000201'

>>> for aliquot in specimen.aliquots.order_by('count'):
       print(aliquot.aliquot_identifier)
'99900GV63F00000201'
'99900GV63F02013202'
'99900GV63F02013203'
'99900GV63F02011604'
'99900GV63F02011605'
'99900GV63F02011606'
'99900GV63F02011607'

Project details


Release history Release notifications | RSS feed

Download files

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

Source Distribution

edc-lab-0.3.21.tar.gz (75.2 kB view details)

Uploaded Source

Built Distribution

edc_lab-0.3.21-py3-none-any.whl (118.5 kB view details)

Uploaded Python 3

File details

Details for the file edc-lab-0.3.21.tar.gz.

File metadata

  • Download URL: edc-lab-0.3.21.tar.gz
  • Upload date:
  • Size: 75.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for edc-lab-0.3.21.tar.gz
Algorithm Hash digest
SHA256 6ead3fa4713d5dc30acc58d208b68e49a308ae0fefebd2cc894f2d85e4ab80e5
MD5 b31ebd7913904fcbe0888b4b7c832141
BLAKE2b-256 6caeec008e839a4e7182ceb4b3a68cc7b53e20ff119f17da87c0590a7a27e2b9

See more details on using hashes here.

File details

Details for the file edc_lab-0.3.21-py3-none-any.whl.

File metadata

  • Download URL: edc_lab-0.3.21-py3-none-any.whl
  • Upload date:
  • Size: 118.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.0 CPython/3.9.12

File hashes

Hashes for edc_lab-0.3.21-py3-none-any.whl
Algorithm Hash digest
SHA256 2183ffd390b74e395718e8096177707b476ad905e5b9667b748f459f68baefa7
MD5 cafa81cf5b05c5f8d515f590a06d4e17
BLAKE2b-256 ed9b988c326b2e138ef913b47fb9030b8c8336abbe0a0c0cbe6982cc9e384d66

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