453 lines
22 KiB
Python
453 lines
22 KiB
Python
# Django models for test tube scanner application
|
|
# Created on 10/04/2024
|
|
# denis@linuxtarn.org
|
|
from django.utils.translation import gettext_lazy as _
|
|
import uuid
|
|
import json
|
|
from django_celery_beat.models import PeriodicTask, ClockedSchedule
|
|
from django.dispatch import receiver
|
|
from django.db.models.signals import post_save, post_delete
|
|
from django.utils import timezone
|
|
from django.db import models
|
|
from django.contrib.auth.models import User
|
|
|
|
|
|
MULTIWELL_POSITION = [
|
|
('HG', _("HG-Haut gauche")),
|
|
('HD', _("HD-Haut droit")),
|
|
('BG', _("BG-Bas gauche")),
|
|
('BD', _("BD-Bas droit")),
|
|
]
|
|
|
|
FOURCC_FORMAT = [
|
|
('mp4v', _("MP4")),
|
|
('XVID', _("XVID")),
|
|
]
|
|
|
|
VIDEO_TYPE = [
|
|
('mp4', _("MP4")),
|
|
('avi', _("AVI")),
|
|
]
|
|
|
|
CAPTURE_TYPE = [
|
|
('rpi', _("Arducam")),
|
|
('webcam', _("Webcam")),
|
|
('file', _("Fichier vidéo (mp4, avi)")),
|
|
]
|
|
|
|
TUBE_AXIS_TYPE = [
|
|
('vertical', _("Vertical")),
|
|
('horizontal', _("Horizontal")),
|
|
]
|
|
|
|
class Configuration(models.Model):
|
|
name = models.CharField(_("Nom de la Configuration"), help_text=_("Nom de la configuration"), max_length=100, null=True, blank=False, default=_("Configuration par défaut"))
|
|
author = models.ForeignKey(User, on_delete=models.CASCADE, verbose_name="Auteur", null=True, blank=True)
|
|
# Dashboard configuration
|
|
sidebar_width = models.CharField(_("Barre latérale"), help_text=_("Largeur barre latérale (css)"), max_length=32, null=True, blank=False, default="350px")
|
|
default_grid_columns = models.PositiveSmallIntegerField(_("Colonnes de la grille par défaut"), help_text=_("Nombre de colonnes de la grille par défaut"), blank=False, default=3)
|
|
# opencv
|
|
opencv_fourcc_format = models.CharField(_("Fourcc"), help_text=_('Opencv fourcc format'), max_length=8, choices=FOURCC_FORMAT, null=True, blank=False, default='mp4v')
|
|
opencv_video_type = models.CharField(_("Video type"), help_text=_('Opencv video type'), max_length=8, choices=VIDEO_TYPE, null=True, blank=False, default='mp4')
|
|
# Grbl configuration
|
|
grbl_xmax = models.FloatField(_("Grbl Xmax"), help_text=_("CNC Grbl Xmax en mm"), blank=False, default=350.0)
|
|
grbl_ymax = models.FloatField(_("Grbl Ymax"), help_text=_("CNC Grbl Ymax en mm"), blank=False, default=250.0)
|
|
# camera configuration
|
|
capture_type = models.CharField(_("Capture"), help_text=_("Type de capture"), default='rpi', max_length=8, choices=CAPTURE_TYPE, null=True, blank=False)
|
|
webcam_device_index = models.PositiveSmallIntegerField(_("Index de la webcam"), help_text=_("Index de la webcam (0, 1, ...) si présente"), default=2)
|
|
image_quality = models.PositiveSmallIntegerField(_("Qualité JPEG"), help_text=_("Qualité JPEG (1-100) pour les images exportées"), default=90)
|
|
video_jpeg_quality = models.PositiveSmallIntegerField(_("Qualité JPEG pour les vidéos"), help_text=_("Qualité JPEG (1-100) pour les images extraites des vidéos"), default=90)
|
|
video_frame_rate = models.FloatField(_("Fréquence vidéos (fps)"), help_text=_("Fréquence d'extraction des images des vidéos (images par seconde)"), default=5.0)
|
|
video_width_capture = models.PositiveSmallIntegerField(_("Largeur de capture vidéo"), help_text=_("Largeur de capture vidéo en pixels"), default=1280)
|
|
video_height_capture = models.PositiveSmallIntegerField(_("Hauteur de capture vidéo"), help_text=_("Hauteur de capture vidéo en pixels"), default=720)
|
|
# Calibration
|
|
scan_simulation = models.BooleanField(_("Simuler balayage"), help_text=_("Autorise la simulation du balayage"), default=False)
|
|
calibration_crop_radius = models.PositiveSmallIntegerField(_("Rayon de découpe pour la calibration"), help_text=_("Rayon en pixels pour découper les images de calibration en px"), default=150)
|
|
calibration_default_multiwell = models.CharField(_("Multi-puits de calibration par défaut"), help_text=_("Position du multi-puits de calibration par défaut"), max_length=8, choices=MULTIWELL_POSITION, default='HG')
|
|
calibration_default_feed = models.PositiveIntegerField(_("Vitesse de calibration"), help_text=_("Vitesse de déplacement pour la calibration en mm/mn"), default=1000)
|
|
calibration_default_step = models.FloatField(_("Pas de calibration"), help_text=_("Pas de déplacement pour la calibration en mm"), default=1.0)
|
|
calibration_default_duration = models.FloatField(_("Duruée calibration"), help_text=_("Durée de pose entre chaque puits en s"), default=3.0)
|
|
# tracking
|
|
tracking = models.BooleanField(_("Suivi"), help_text=_("Suivi et analyse des planaires"), default=False)
|
|
tracking_setting = models.BooleanField(_("Réglage dans calibration"), help_text=_("Autorise le réglage des valeurs par défaut dans la calibration"), default=False)
|
|
|
|
tube_axis = models.CharField(_("Axe du puit"), help_text=_("Axe du tube"), default='vertical', max_length=16, choices=TUBE_AXIS_TYPE, null=True, blank=False)
|
|
min_area_px = models.PositiveIntegerField(_("Surface minimale"), help_text=_("surface minimale d'un contour pour être considéré valide (px²)"), default=20)
|
|
max_area_ratio = models.FloatField(_("surface maximale "), help_text=_("surface maximale d'un contour en fraction de la frame (défaut 10%)"), default=0.10)
|
|
max_planarians = models.PositiveIntegerField(_("Max planaire"), help_text=_("nombre maximum de planaires à suivre simultanément (1-10)"), default=1)
|
|
merge_kernel_size = models.PositiveIntegerField(_("Taille du kernel"), help_text=_("taille du kernel elliptique de fusion des fragments (px). Augmenter si fragments résiduels"), default=15)
|
|
min_contour_dist_px = models.PositiveIntegerField(_("Distance <contour>"), help_text=_("Distance min entre deux contours pour les considérer comme individus distincts. Défaut : 40px. Augmenter si IDs multiples persistent"), default=40)
|
|
#
|
|
active = models.BooleanField(_("Actif"), default=False)
|
|
|
|
|
|
@classmethod
|
|
def active_config(cls):
|
|
return Configuration.objects.filter(active=True).first()
|
|
|
|
class Meta:
|
|
ordering = ['id', ]
|
|
verbose_name = _("Configuration")
|
|
verbose_name_plural = verbose_name
|
|
|
|
def __str__(self):
|
|
return f'{self.name}'
|
|
|
|
class Well(models.Model):
|
|
author = models.ForeignKey(User, on_delete=models.CASCADE, verbose_name="Auteur", null=True, blank=True)
|
|
name = models.CharField(_("Nom"), help_text=_("Nom du puit: Ai..Di"), unique=True, max_length=4, null=True, blank=True)
|
|
|
|
class Meta:
|
|
ordering = ['name', ]
|
|
verbose_name = _("Puit")
|
|
verbose_name_plural = _("Puits")
|
|
|
|
|
|
def __str__(self):
|
|
return f'{self.name}'
|
|
|
|
|
|
class MultiWell(models.Model):
|
|
# Identification
|
|
label = models.CharField(_("Label"), help_text=_("Label du multi-puit"), max_length=100, null=True, blank=True)
|
|
author = models.ForeignKey(User, on_delete=models.CASCADE, verbose_name="Auteur", null=True, blank=True)
|
|
position = models.CharField(_("Position"), help_text=_('Position du multi-puits sur la table'), unique=True, max_length=8, choices=MULTIWELL_POSITION, null=True, blank=False)
|
|
default = models.BooleanField(_("Par défaut"), help_text=_('Multi-puit par défaut'), default=False)
|
|
# Configuration
|
|
cols = models.PositiveSmallIntegerField(_("Colonnes"), help_text=_('Nombre de colonnes'), blank=False, default=6)
|
|
rows = models.PositiveSmallIntegerField(_("Lignes"), help_text=_('Nombre de lignes'), blank=False, default=4)
|
|
diameter = models.FloatField(_("Diamètre"), help_text=_('Diamètre des tubes en mm'), blank=False, default=16.0)
|
|
row_def = models.CharField(_("Définition"), help_text=_('Définition des lignes'), max_length=16, null=True, blank=False, default="A,B,C,D")
|
|
row_order = models.CharField(_("Ordre ligne"), help_text=_('Ordre ligne de puit. Lecture en serpentin dans le sens des +- X'), max_length=16, null=True, blank=False, default="D,C,B,A")
|
|
# Balayage
|
|
order = models.PositiveSmallIntegerField(_("Ordre"), help_text=_('Ordre de lecture du multi-puit'), blank=False, default=0)
|
|
duration = models.PositiveIntegerField(_("Durée"), help_text=_('Durée de capture en secondes pour la calibration'), blank=False, default=10)
|
|
xbase = models.FloatField(_("Origine X"), help_text=_('Base origine X en mm'), blank=False, default=50.0)
|
|
ybase = models.FloatField(_("Origine Y"), help_text=_('Base origine Y en mm'), blank=False, default=50.0)
|
|
|
|
dx = models.FloatField(_("Pas X"), help_text=_('Pas ou interval sur X en mm'), blank=False, default=19.5)
|
|
dy = models.FloatField(_("Pas Y"), help_text=_('Pas ou interval sur Y en mm'), blank=False, default=19.5)
|
|
feed = models.PositiveIntegerField(_("Vitesse"), help_text=_('Vitesse déplacement en mm/mn '), blank=False, default=1000)
|
|
|
|
well_position = models.BooleanField(_("Positions"), help_text=_('Positions des puits générées ?. Non => efface WellPosition et recalcule les positions'), default=False)
|
|
active = models.BooleanField(_("Active"), default=True)
|
|
|
|
|
|
def config(self):
|
|
return dict(
|
|
position=self.position,
|
|
cols=self.cols,
|
|
rows=self.rows,
|
|
row_def=self.row_def,
|
|
row_order=self.row_order,
|
|
dx=self.dx,
|
|
dy=self.dy,
|
|
duration=self.duration,
|
|
feed=self.feed,
|
|
xbase=self.xbase,
|
|
ybase=self.ybase,
|
|
)
|
|
return {}
|
|
|
|
@classmethod
|
|
def config_by_position(cls, position):
|
|
qs = MultiWell.objects.filter(position__exact=position).values()
|
|
if qs:
|
|
return dict(qs[0])
|
|
return {}
|
|
|
|
@classmethod
|
|
def by_position(cls, position):
|
|
return MultiWell.objects.filter(position__exact=position).first()
|
|
|
|
@classmethod
|
|
def all(cls):
|
|
return MultiWell.objects.filter(active=True).all()
|
|
|
|
class Meta:
|
|
ordering = ['order', ]
|
|
verbose_name = _("Multi-puits")
|
|
verbose_name_plural = _("Multi-puits")
|
|
|
|
|
|
def __str__(self):
|
|
return f'{self.position}: {self.label}'
|
|
|
|
|
|
class WellPosition(models.Model):
|
|
author = models.ForeignKey(User, on_delete=models.CASCADE, verbose_name="Auteur", null=True, blank=True)
|
|
well = models.ForeignKey(Well, verbose_name=_("Puit"), on_delete=models.SET_NULL, null=True, blank=True)
|
|
multiwell = models.ForeignKey(MultiWell, verbose_name=_("Multi-puits"), on_delete=models.SET_NULL, null=True, blank=True)
|
|
|
|
order = models.PositiveSmallIntegerField(_("Ordre"), help_text=_('Ordre de lecture du puit'), blank=False, default=0)
|
|
x = models.FloatField(_("X"), help_text=_('Axe X en mm'), blank=False, default=10.0)
|
|
y = models.FloatField(_("Y"), help_text=_('Axe Y en mm'), blank=False, default=10.0)
|
|
px_per_mm = models.FloatField( default=50.0, verbose_name=_("Pixels par mm"), help_text=_("Facteur de calibration optique"))
|
|
|
|
|
|
@classmethod
|
|
def active_well(cls, multiwell, well):
|
|
return WellPosition.objects.filter(multiwell_id=multiwell.id, well_id=well.id).first()
|
|
|
|
@classmethod
|
|
def well_by_multiwell(cls, multiwell):
|
|
return WellPosition.objects.filter(multiwell_id=multiwell.id).all()
|
|
|
|
class Meta:
|
|
ordering = ['order']
|
|
unique_together = ["multiwell", "well"]
|
|
verbose_name = _("Position du puit")
|
|
verbose_name_plural = _("Position des puits")
|
|
|
|
def __str__(self):
|
|
return f'{self.multiwell.position}: {self.well.name}'
|
|
|
|
|
|
@receiver(post_save, sender=MultiWell)
|
|
def create_well_position(sender, instance, created, **kwargs):
|
|
if created:
|
|
pass
|
|
if not instance.well_position:
|
|
row_order = instance.row_order.split(',')
|
|
n = 0
|
|
for row in range(instance.rows):
|
|
if row % 2 == 0:
|
|
cols = range(instance.cols)
|
|
else:
|
|
cols = range(instance.cols - 1, -1, -1)
|
|
for col in cols:
|
|
x = instance.xbase + col * instance.dx
|
|
y = instance.ybase + row * instance.dy
|
|
try:
|
|
name = f'{row_order[row]}{col+1}'
|
|
well = Well.objects.get(name__exact=name)
|
|
WellPosition.objects.update_or_create(
|
|
multiwell=instance,
|
|
well=well,
|
|
author=instance.author,
|
|
defaults={'order': n, 'x': round(x, 4), 'y': round(y, 4)}
|
|
)
|
|
n += 1
|
|
except:
|
|
pass
|
|
instance.well_position=True
|
|
instance.save()
|
|
|
|
|
|
class Experiment(models.Model):
|
|
title = models.CharField(_("Titre de l'expérience"), max_length=100, null=True, blank=False)
|
|
comment = models.TextField(_("Commentaires"), help_text=_("Descriptions de l'expérience"), null=True, blank=True)
|
|
identifier = models.CharField(_("Identifiant d'expérience"), unique=True, max_length=100, null=True, blank=False )
|
|
|
|
author = models.ForeignKey(User, on_delete=models.CASCADE, verbose_name="Auteur", null=True, blank=True)
|
|
multiwell = models.ForeignKey(MultiWell, verbose_name=_("Multi-puits"), on_delete=models.SET_NULL, null=True, blank=True)
|
|
duration = models.PositiveIntegerField(_("Durée"), help_text=_('Durée de la prise de vue en secondes'), blank=False, default=120)
|
|
|
|
created = models.DateTimeField(_("Date de création"), default=timezone.now)
|
|
started = models.DateTimeField (_("Date de début"), null=True, blank=True)
|
|
finished = models.DateTimeField (_("Date de fin"), null=True, blank=True)
|
|
|
|
|
|
def save(self, *args, **kwargs):
|
|
self.identifier = f'{self.id}-{self.multiwell.position}_{self.created.isoformat()[:19]}'
|
|
super().save(*args, **kwargs)
|
|
|
|
|
|
@classmethod
|
|
def by_identifier(cls, identifier):
|
|
return Experiment.objects.filter(identifier__exact=identifier).first()
|
|
|
|
|
|
class Meta:
|
|
ordering = ['-created', ]
|
|
verbose_name = _("Expérience")
|
|
verbose_name_plural = _("Expériences")
|
|
|
|
def __str__(self):
|
|
return f'{self.identifier}'
|
|
|
|
|
|
class Session(models.Model):
|
|
|
|
class Status(models.TextChoices):
|
|
PENDING = "pending", _("En attente")
|
|
RUNNING = "running", _("En cours")
|
|
DONE = "done", _("Terminé")
|
|
ERROR = "error", _("Erreur")
|
|
|
|
name = models.CharField(_("Nom de la session"), help_text=_("Session d'expérience. 4 Multi-puits maximum"), max_length=100, null=True, blank=False)
|
|
author = models.ForeignKey(User, on_delete=models.CASCADE, verbose_name="Auteur", null=True, blank=True)
|
|
active = models.BooleanField(_("Active"), default=True)
|
|
expected_export = models.DateTimeField(_("Date d'exportation"), help_text=_("Date d'exportation prévue"), null=True, blank=True)
|
|
expected_scanning = models.DateTimeField(_("Date du balayage"), help_text=_("Date du balayage prévue"), null=True, blank=True)
|
|
|
|
created = models.DateTimeField(_("Date de création"), default=timezone.now)
|
|
finished = models.DateTimeField (_("Date de fin"), null=True, blank=True)
|
|
|
|
export_status = models.CharField(_("Status exportation"), max_length=16, choices=Status.choices, default=Status.PENDING)
|
|
export_task = models.OneToOneField(
|
|
"django_celery_beat.PeriodicTask",
|
|
verbose_name=_("Export médias"),
|
|
help_text=_("Programmation de l'exportation des vidéos et images"),
|
|
null=True, blank=True, on_delete=models.SET_NULL, related_name="export_session")
|
|
export_exported_at = models.DateTimeField(_("Exportation terminée à"), null=True, blank=True)
|
|
|
|
scanning_status = models.CharField(_("Status scanning"), max_length=16, choices=Status.choices, default=Status.PENDING)
|
|
scanning_task = models.OneToOneField(
|
|
"django_celery_beat.PeriodicTask",
|
|
verbose_name=_("Lancer le balayage"),
|
|
help_text=_("Programmation du lancement du balayage"),
|
|
null=True, blank=True, on_delete=models.SET_NULL, related_name="scanning_session")
|
|
scanning_finished_at = models.DateTimeField(_("Balayage terminé à"), null=True, blank=True)
|
|
|
|
|
|
@classmethod
|
|
def get_session(self, sid):
|
|
return Session.objects.filter(pk=sid).first()
|
|
|
|
|
|
class Meta:
|
|
ordering = ['-created', ]
|
|
verbose_name = _("Session")
|
|
verbose_name_plural = _("Sessions")
|
|
|
|
def __str__(self):
|
|
state = _("Terminée") if not self.active else _("Active")
|
|
return f'{self.id}: {self.name} {state}'
|
|
|
|
|
|
@receiver(post_save, sender=Session)
|
|
def create_periodic_task(sender, instance, created, **kwargs):
|
|
"""
|
|
Crée automatiquement une PeriodicTask à la création d'une session.
|
|
La tâche est one-shot : elle se désactive après exécution (one_off=True).
|
|
"""
|
|
if instance.expected_export:
|
|
try:
|
|
clocked, _ = ClockedSchedule.objects.get_or_create(clocked_time=instance.expected_export)
|
|
export_task = PeriodicTask.objects.create(
|
|
name = f"export_session_{instance.id}",
|
|
task = "scanner.tasks.run_session_exports",
|
|
clocked = clocked,
|
|
one_off = True, # se désactive après la première exécution
|
|
enabled = True,
|
|
last_run_at = None, # force Celery Beat à ne pas la considérer déjà exécutée
|
|
start_time = None, # pas de contrainte de démarrage
|
|
kwargs = json.dumps({ # paramètres passés à la tâche
|
|
"session_id": str(instance.id),
|
|
}),
|
|
description = f"Export expected at {instance.expected_export} — {instance.name}",
|
|
)
|
|
# Sauvegarde sans re-déclencher le signal
|
|
Session.objects.filter(pk=instance.pk).update(export_task=export_task)
|
|
except:
|
|
pass
|
|
|
|
if instance.expected_scanning:
|
|
try:
|
|
clocked, _ = ClockedSchedule.objects.get_or_create(clocked_time=instance.expected_scanning)
|
|
scanning_task = PeriodicTask.objects.create(
|
|
name = f"scanning_session_{instance.id}",
|
|
task = "scanner.tasks.run_scanning",
|
|
clocked = clocked,
|
|
one_off = True, # se désactive après la première exécution
|
|
enabled = True,
|
|
last_run_at = None, # force Celery Beat à ne pas la considérer déjà exécutée
|
|
start_time = None, # pas de contrainte de démarrage
|
|
kwargs = json.dumps({ # paramètres passés à la tâche
|
|
"session_id": str(instance.id),
|
|
}),
|
|
description = f"Scanning expected at {instance.expected_scanning} — {instance.name}",
|
|
)
|
|
# Sauvegarde sans re-déclencher le signal
|
|
Session.objects.filter(pk=instance.pk).update(scanning_task=scanning_task)
|
|
except:
|
|
pass
|
|
|
|
@receiver(post_delete, sender=Session)
|
|
def delete_periodic_task(sender, instance, **kwargs):
|
|
"""
|
|
Supprime la PeriodicTask associée quand la session est supprimée.
|
|
"""
|
|
if instance.export_task:
|
|
instance.export_task.delete()
|
|
if instance.scanning_task:
|
|
instance.scanning_task.delete()
|
|
|
|
|
|
class SessionExperiment(models.Model):
|
|
author = models.ForeignKey(User, on_delete=models.CASCADE, verbose_name="Auteur", null=True, blank=True)
|
|
session = models.ForeignKey(Session, verbose_name=_("Session"), on_delete=models.SET_NULL, null=True, blank=True)
|
|
experiment = models.ForeignKey(Experiment, verbose_name=_("Expérience"), on_delete=models.SET_NULL, null=True, blank=True, related_name="session_experiments")
|
|
|
|
@classmethod
|
|
def experiment_by_session(cls, session_id, active=True):
|
|
return [ ss.experiment for ss in SessionExperiment.objects.filter(session__id=session_id, session__active=active).order_by('experiment__multiwell__order') ]
|
|
|
|
@classmethod
|
|
def uuid_from_session(cls, sid):
|
|
experiments = [ss.experiment for ss in SessionExperiment.objects.filter(session__id=sid, session__active=False)]
|
|
uuid_list = []
|
|
for obs in experiments:
|
|
row_def = obs.multiwell.row_def.split(',')
|
|
for row in range(obs.multiwell.rows):
|
|
for col in range(obs.multiwell.cols):
|
|
uuid = f'{sid}-{obs.multiwell.position}-{row_def[row]}{col+1}'
|
|
uuid_list.append(uuid)
|
|
return uuid_list
|
|
|
|
class Meta:
|
|
ordering = ['session',]
|
|
unique_together = ["session", "experiment"]
|
|
verbose_name = _("Expérience d'une session")
|
|
verbose_name_plural = _("Expériences d'une session")
|
|
|
|
def __str__(self):
|
|
return f'{self.session.id}: {self.experiment.title}'
|
|
|
|
|
|
class ExperimentWell(models.Model):
|
|
author = models.ForeignKey(User, on_delete=models.CASCADE, verbose_name="Auteur", null=True, blank=True)
|
|
experiment = models.ForeignKey(Experiment, verbose_name=_("Expérience"), on_delete=models.SET_NULL, null=True, blank=True, related_name="experimentwell")
|
|
well = models.ForeignKey(Well, verbose_name=_("Puit"), on_delete=models.SET_NULL, null=True, blank=True, related_name="wellexperiment")
|
|
active = models.BooleanField(_("Active"), default=True)
|
|
|
|
@classmethod
|
|
def well_by_experiment(cls, experiment_id):
|
|
return ExperimentWell.objects.filter(experiment__id=experiment_id, active=True).order_by('well__name')
|
|
|
|
@classmethod
|
|
def wellname_by_experiment(cls, experiment_id):
|
|
return [ ew.well.name for ew in ExperimentWell.objects.filter(experiment__id=experiment_id, active=True).order_by('well__name') ]
|
|
|
|
class Meta:
|
|
ordering = ['experiment', 'well']
|
|
unique_together = ["experiment", "well", ]
|
|
verbose_name = _("Expérience puit")
|
|
verbose_name_plural = _("Expériences puits")
|
|
|
|
def __str__(self):
|
|
return f'{self.experiment.title}'
|
|
|
|
@receiver(post_save, sender=Experiment)
|
|
def create_experiment_well(sender, instance, created, **kwargs):
|
|
from planarian.models import ExperimentConfig
|
|
from .constants import ScannerConstants
|
|
|
|
wellposition = WellPosition.well_by_multiwell(instance.multiwell)
|
|
for wp in wellposition:
|
|
ExperimentWell.objects.get_or_create(experiment=instance, well=wp.well, author=instance.author, defaults={'active':True})
|
|
|
|
ExperimentConfig.objects.get_or_create(
|
|
experiment_key=instance,
|
|
well=wp.well.name,
|
|
author=instance.author,
|
|
experiment=instance.identifier,
|
|
defaults={
|
|
'px_per_mm': wp.px_per_mm,
|
|
'fps': ScannerConstants().get().video_frame_rate,
|
|
'well_radius_mm': instance.multiwell.diameter / 2,
|
|
}
|
|
)
|
|
|