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-0.3.24.tar.gz (75.1 kB view details)

Uploaded Source

Built Distribution

edc_lab-0.3.24-py3-none-any.whl (119.3 kB view details)

Uploaded Python 3

File details

Details for the file edc-lab-0.3.24.tar.gz.

File metadata

  • Download URL: edc-lab-0.3.24.tar.gz
  • Upload date:
  • Size: 75.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.9

File hashes

Hashes for edc-lab-0.3.24.tar.gz
Algorithm Hash digest
SHA256 5a88e88b2730c361b6020cd8c43112cb0459c877be499fd13b27fae144dcf59c
MD5 d7c6c6a8159f3ad52a0a708f2b2cbd27
BLAKE2b-256 66e537e684409bc897fee3f9a16bb68f9c04195638fe06af623c30ed0a597693

See more details on using hashes here.

File details

Details for the file edc_lab-0.3.24-py3-none-any.whl.

File metadata

  • Download URL: edc_lab-0.3.24-py3-none-any.whl
  • Upload date:
  • Size: 119.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/4.0.1 CPython/3.9.9

File hashes

Hashes for edc_lab-0.3.24-py3-none-any.whl
Algorithm Hash digest
SHA256 13762e7fccfed1d02c21cd9d2bb20bc0c4a2cefaaf580d795d79549eac537927
MD5 b999937a25b5a1a17970d69b768ad06c
BLAKE2b-256 8797a8ce254c3878be8ca73f43216432ba5cab47b4668f923395f1aaa11720c2

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