172 lines
6.7 KiB
Python
172 lines
6.7 KiB
Python
# planarian/models.py
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from django.db import models
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from django.dispatch import receiver
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from django.db.models.signals import post_save
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#from django.conf import settings
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from django.utils.translation import gettext_lazy as _
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from django.contrib.auth.models import User
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from scanner.models import Experiment, Well, WellPosition
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from scanner.constants import ScannerConstants
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class ExperimentConfig(models.Model):
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"""
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Paramètres d'une expérience PlanarianScanner.
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Peut être créé depuis Django admin, une vue formulaire ou un import CSV.
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"""
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author = models.ForeignKey(User, on_delete=models.CASCADE, verbose_name="Auteur", null=True, blank=True)
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# --- Identification ---
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identifier = models.CharField( max_length=100, verbose_name=_("Identifiant d'expérience"), help_text=_("session_1-HD-2026-04-27"), )
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experiment = models.ForeignKey(Experiment, verbose_name="Expérience", on_delete=models.CASCADE, related_name="experiment_well" , null=True, blank=True)
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well = models.ForeignKey(Well, verbose_name="Puit", on_delete=models.CASCADE, related_name="well_experiment", null=True, blank=True )
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description = models.TextField( blank=True, verbose_name=_("Description"), )
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created_at = models.DateTimeField(auto_now_add=True, verbose_name=_("Créé le"))
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# --- Calibration optique ---
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# px_per_mm, fps, well_radius_mm
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px_per_mm = models.FloatField(
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default=26.25,
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verbose_name=_("Pixels par mm"),
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help_text=_("Facteur de calibration optique"),
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)
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fps = models.FloatField(
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default=5.0,
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verbose_name=_("FPS de capture"),
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help_text=_("Image de capture en img/s"),
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)
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well_radius_mm = models.FloatField(
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default=8.0,
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verbose_name=_("Rayon du puits"),
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help_text=_("En mm"),
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)
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# --- Seuils de mobilité EthoVision ---
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thresh_immobile = models.FloatField(
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default=0.2,
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verbose_name=_("Seuil Immobile (mm/s)"),
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)
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thresh_mobile = models.FloatField(
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default=1.5,
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verbose_name=_("Seuil Mobile (mm/s)"),
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)
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# --- Tracker ---
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tube_axis = models.CharField(
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max_length=10,
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default="vertical",
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choices=[("vertical", _("Vertical")), ("horizontal", _("Horizontal"))],
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verbose_name=_("Axe du tube"),
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)
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min_area_px = models.IntegerField(
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default=20,
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verbose_name=_("Surface min détection (px²)"),
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)
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max_area_ratio = models.FloatField(
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default=0.10,
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verbose_name=_("Surface max contour (fraction de la frame)"),
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help_text=_("Ratio de la surface du puits, ex: 0.10 pour 10%"),
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)
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planarian_count = models.IntegerField(
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default=1,
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verbose_name=_("Nombre de planaires"),
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)
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# --- Thigmotactisme ---
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thigmotaxis_wall_dist_mm = models.FloatField(
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default=1.0,
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verbose_name=_("Distance paroi thigmotactisme (mm)"),
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)
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# --- Phototactisme ---
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PHOTO_MODES = [
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("none", _("Désactivé")),
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("fixed", _("Source fixe")),
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("sine", _("Source sinusoïdale")),
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("radial", _("Gradient radial")),
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]
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photo_mode = models.CharField(
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max_length=10,
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default="none",
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choices=PHOTO_MODES,
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verbose_name=_("Mode phototactisme"),
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)
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photo_strength = models.FloatField(default=0.0, verbose_name=_("Intensité phototactisme"))
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photo_x = models.FloatField(default=0.5, verbose_name=_("Source lumière X (0-1)"))
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photo_y = models.FloatField(default=0.5, verbose_name=_("Source lumière Y (0-1)"))
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# --- Chimiotactisme ---
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chemo_strength = models.FloatField(default=0.0, verbose_name=_("Intensité chimiotactisme"))
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chemo_x = models.FloatField(default=0.5, verbose_name=_("Nourriture X (0-1)"))
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chemo_y = models.FloatField(default=0.5, verbose_name=_("Nourriture Y (0-1)"))
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chemo_radius_mm = models.FloatField(default=2.0, verbose_name=_("Rayon nourriture (mm)"))
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# --- Interactions inter-individus ---
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avoid_radius_mm = models.FloatField(default=3.0, verbose_name=_("Rayon évitement (mm)"))
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aggreg_radius_mm = models.FloatField(default=6.0, verbose_name=_("Rayon agrégation (mm)"))
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class Meta:
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verbose_name = _("Configuration expérience")
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verbose_name_plural = _("Configuration des expériences")
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unique_together = ("experiment", "well")
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ordering = ["-created_at"]
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def __str__(self):
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return f"{self.experiment} / {self.well.name}"
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def get_session(self):
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return self.experiment.session_experiments.first() if self.experiment else None
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def to_params_dict(self) -> dict:
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"""Retourne un dict compatible avec ExperimentParams."""
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return {
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"experiment": self.idendifier,
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"well": self.well.name,
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"px_per_mm": self.px_per_mm,
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"fps": self.fps,
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"well_radius_mm": self.well_radius_mm,
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"thresh_immobile": self.thresh_immobile,
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"thresh_mobile": self.thresh_mobile,
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"tube_axis": self.tube_axis,
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"min_area_px": self.min_area_px,
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"max_area_ratio": self.max_area_ratio,
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"planarian_count": self.planarian_count,
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"thigmotaxis_wall_dist_mm": self.thigmotaxis_wall_dist_mm,
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"photo_mode": self.photo_mode,
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"photo_strength": self.photo_strength,
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"chemo_strength": self.chemo_strength,
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"chemo_x": self.chemo_x,
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"chemo_y": self.chemo_y,
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"chemo_radius_mm": self.chemo_radius_mm,
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"avoid_radius_mm": self.avoid_radius_mm,
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"aggreg_radius_mm": self.aggreg_radius_mm,
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}
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def save(self, *args, **kwargs):
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session = self.get_session()
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dte = self.experiment.created.isoformat()[:19]
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self.identifier = f'{dte}-{session.id}-{self.experiment.id}-{self.experiment.multiwell.position}-{self.well.name}'
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print(self.identifier)
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super().save(*args, **kwargs)
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@receiver(post_save, sender=ExperimentConfig)
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def create_well_position(sender, instance, created, **kwargs):
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if created:
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active_well = WellPosition.active_well(instance.experiment.multiwell, instance.well)
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instance.px_per_mm = active_well.px_per_mm
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instance.well_radius_mm = instance.experiment.multiwell.diameter / 2
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conf = ScannerConstants().get()
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instance.fps = conf.video_frame_rate
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instance.save()
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