Skip to main content

LIMS/lab classes for clinicedc/edc projects

Project description

pypi travis coverage

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-0.2.31.macosx-10.7-x86_64.tar.gz (126.7 kB view details)

Uploaded Source

Built Distribution

edc_lab-0.2.31-py3-none-any.whl (94.6 kB view details)

Uploaded Python 3

File details

Details for the file edc-lab-0.2.31.macosx-10.7-x86_64.tar.gz.

File metadata

  • Download URL: edc-lab-0.2.31.macosx-10.7-x86_64.tar.gz
  • Upload date:
  • Size: 126.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.7.0

File hashes

Hashes for edc-lab-0.2.31.macosx-10.7-x86_64.tar.gz
Algorithm Hash digest
SHA256 74db3d8065d22b7b319674dd4b5f1c451a8673db5558b524964891211fc334ee
MD5 3dea18f4136a9eae3b73db5068e7e620
BLAKE2b-256 162cce0dc5e6cd248a111972e648efeb85682f49f5fcbf508b117467aae9bf3a

See more details on using hashes here.

File details

Details for the file edc_lab-0.2.31-py3-none-any.whl.

File metadata

  • Download URL: edc_lab-0.2.31-py3-none-any.whl
  • Upload date:
  • Size: 94.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.12.1 pkginfo/1.4.2 requests/2.19.1 setuptools/40.2.0 requests-toolbelt/0.8.0 tqdm/4.26.0 CPython/3.7.0

File hashes

Hashes for edc_lab-0.2.31-py3-none-any.whl
Algorithm Hash digest
SHA256 3648d3270146ad63994604db98cc58f087e08ed0b091fd40563272a8dd7db89c
MD5 50efab823709f23c574ced66b1e5167f
BLAKE2b-256 5764ce45e211a786811dae4d1e0dd1b3a4c0734d51ccd856189fddc2ee56a53f

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