65 Commits

Author SHA1 Message Date
denis defolie 88cdc69f7d model multi -well-96 2026-07-11 11:46:07 +02:00
denis defolie c0a57a8920 scanner-correction 2026-07-11 10:55:30 +02:00
denis defolie 299bfad872 readme-doc 2026-07-10 15:01:47 +02:00
denis defolie c6145f250b readme&context 2026-07-10 10:02:20 +02:00
denis defolie 90d271dc2b csrf-correction 2026-07-10 09:49:36 +02:00
denis 695e59174a grbl-settings 2026-07-08 20:06:40 +02:00
denis e4bd67b686 video-plate-calibration:
README/CONTEXT
2026-06-03 22:35:36 +02:00
denis 9bb8fc1bce Video plate capture: calibration, edge enhance, auto-detect well borders 2026-06-03 17:56:23 +02:00
denis 4b42c03756 context / gitignore 2026-05-30 08:31:26 +02:00
denis 084c289a95 backup 2026-05-19 11:15:54 +02:00
denis 308ddaa048 export-all-verif 2026-05-19 10:53:51 +02:00
denis 5477de46fe capture 2026-05-17 19:42:49 +02:00
denis adf8d24d14 store summary 2026-05-16 21:44:08 +02:00
denis cb10957fa6 metrics 2026-05-16 12:20:25 +02:00
denis da44ab5340 export 2026-05-15 22:28:34 +02:00
denis 9abede4b4a readme 2026-05-15 19:03:18 +02:00
denis 47ea0a6be2 documentation 2026-05-15 18:55:23 +02:00
denis 6eac697bd2 export 2026-05-15 18:16:46 +02:00
denis dc63da69d9 translate 2026-05-15 16:14:52 +02:00
denis 7760d7ae7c export video/image 2026-05-15 16:14:26 +02:00
denis 4fb7fa8fd3 translate 2026-05-14 17:42:23 +02:00
denis 3c730ecdc0 translate 2026-05-14 17:35:02 +02:00
denis b5b28dd5e1 translate 2026-05-14 17:30:47 +02:00
denis 0bab26c45a translate 2026-05-14 17:10:51 +02:00
denis e9256f538c documentation 2026-05-14 15:59:55 +02:00
denis ed67438739 doc database 2026-05-14 09:19:03 +02:00
denis e1e1174db7 planarian 2026-05-13 13:22:43 +02:00
denis 01acef913b export/import metrics 2026-05-13 13:21:49 +02:00
denis 15c01c483f export csv 2026-05-11 23:04:04 +02:00
denis 13141bc46a experiment 2026-05-10 22:28:13 +02:00
denis 500950017f planarian 2026-05-09 23:02:11 +02:00
denis c7caccd951 scanning 2026-05-09 13:07:42 +02:00
denis 5ba8e04ddf calibration 2026-05-09 09:45:27 +02:00
denis 563069d3c6 tracking 2026-05-08 11:48:46 +02:00
denis 1575445df4 tracking 2026-05-07 11:13:51 +02:00
denis 1bc7e5eb9e simulation 2026-05-06 23:35:31 +02:00
denis 22ec82c895 readme 2026-05-05 23:36:03 +02:00
denis 8b98f39619 simulation 2026-05-05 23:11:15 +02:00
denis ee919ab1cf readme 2026-05-05 22:52:51 +02:00
denis 0fc0d537be readme 2026-05-05 20:03:02 +02:00
denis c28ccdb33c readme 2026-05-05 20:00:02 +02:00
denis dcbcabfce5 readme 2026-05-05 19:48:42 +02:00
denis 3aaa88a1aa simulation 2026-05-05 19:38:41 +02:00
denis d946de7b63 simulation 2026-05-05 14:59:09 +02:00
denis 5c78c042a4 planarian 2026-05-04 23:05:59 +02:00
denis c0c3c37963 metrics 2026-05-04 19:05:40 +02:00
denis 3ecf0a1b6b simulation 2026-05-04 10:32:14 +02:00
denis ebdeb5f651 simulation 2026-05-03 23:11:00 +02:00
denis ce32bee3e8 calibration 2026-05-03 13:24:25 +02:00
denis 0f22451516 simulate 2026-05-03 09:29:08 +02:00
denis 309e2d4f45 planarian 2026-05-02 22:00:41 +02:00
denis 5b4b1e63a6 planarian 2026-05-02 17:26:17 +02:00
denis 3f746b6b3f planarian 2026-05-02 17:19:44 +02:00
denis c16a874ebd export final 2026-05-01 08:34:50 +02:00
denis 4731a8bef8 scanning delayed 2026-04-30 22:28:08 +02:00
denis be1da62dbc scanning delayed 2026-04-30 22:26:51 +02:00
denis b9bcdae282 export 2026-04-30 11:33:30 +02:00
denis f53b8d4932 readme 2026-04-29 12:36:32 +02:00
denis d922102ef5 readme 2026-04-29 12:34:56 +02:00
denis d7e634c96e readme 2026-04-29 11:55:31 +02:00
denis 58307333b9 readme 2026-04-29 11:54:40 +02:00
denis 1aca6bba75 readme 2026-04-29 11:46:53 +02:00
denis 4bde92bd6d readme 2026-04-29 11:21:15 +02:00
denis 94c7cf38f5 readme 2026-04-29 11:02:33 +02:00
denis 22e32cad26 readme 2026-04-29 11:01:13 +02:00
116 changed files with 16526 additions and 3463 deletions
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# ── Secrets & credentials ──────────────────────────────────────────────────
test_tube_scanner/.env
*.pem
*.key
*.crt
*.p12
*.pfx
credentials*.json
secrets*.json
.secrets
# ── Données capturées / exports / backups ──────────────────────────────────
datas/
# ── Python / venv ──────────────────────────────────────────────────────────
.venv/
__pycache__/
*.py[cod]
*.pyo
# ── Django runtime ─────────────────────────────────────────────────────────
*.sqlite3
*.db
test_tube_scanner/staticfiles/
test_tube_scanner/media/
test_tube_scanner/logs/
*.log
# ── Celery ─────────────────────────────────────────────────────────────────
celerybeat-schedule
celerybeat.pid
*.pid
# ── Éditeurs & OS ──────────────────────────────────────────────────────────
.idea/
.vscode/
*.swp
*.swo
*~
.DS_Store
Thumbs.db
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# PlanarianScanner — Contexte technique
Système d'imagerie automatisé pour le suivi comportemental de planaires (*Platyhelminthes*).
Développé par dd@linuxtarn.org pour le **Laboratoire de Biologie, Université Champollion, Albi**.
---
## Matériel cible
| Composant | Détail |
|---|---|
| Carte | Raspberry Pi 4 |
| Caméra | ArduCam haute définition (Picamera2) |
| Motorisation | Bras CNC L2544 piloté en GRBL via port série |
| Grille | 4 plaques multi-puits de 6×4 = 96 puits (Ø 16 mm) |
| Réseau | LAN — export Samba (CIFS) / rsync SSH |
---
## Stack technique
| Couche | Technologie |
|---|---|
| Backend | Django 5.1 + Django Channels (WebSocket) |
| Serveur ASGI | Daphne |
| Broker/cache | Redis |
| Tâches async | Celery + django-celery-beat (one-shot via ClockedSchedule) |
| Vision | OpenCV (headless) + Picamera2 |
| Stockage frames | ReductStore (base time série haute performance) |
| BDD | MariaDB (prod) — sqlite3 (dev) |
| Export distant | Samba client (CIFS) / rsync |
| Plateforme | Raspberry Pi 4, Debian 64-bit Trixie |
| Python | 3.13 — venv dans `.venv/` |
---
## Structure du dépôt
```
PlanarianScanner/
├── etc/ # Scripts d'installation et configs système
│ ├── 1-install-sys.sh # Dépendances système
│ ├── 2-cargo-reductstore-install.sh # Build ReductStore (~15 min sur RPi4)
│ ├── 3-install-samba-client.sh
│ ├── 4-install_mariadb.sh
│ ├── 5-install_adminer.sh
│ ├── 6-install_django_app.sh # Init Django (migrations, fixtures, collectstatic)
│ ├── db/ # Fixtures JSON initiales (configuration, multiwell, well)
│ ├── requirements.txt
│ ├── scanner_service.conf # Supervisor : Django + Celery workers
│ ├── reductstore_service.conf
│ └── nginx_service.conf
├── datas/ # Données hors Django (gitignored)
│ ├── medias/ # Images et vidéos capturées
│ ├── exports/csv/ # Exports CSV EthoVision
│ ├── remote/exports/ # Dossier cible des transferts distants
│ └── backup/mariadb/ # Sauvegardes MariaDB
├── assets/ # Logo, screenshots
├── test_tube_scanner/ # Racine du projet Django
│ ├── home/ # Package projet (settings, urls, wsgi, asgi, celery)
│ ├── scanner/ # App scanner (CNC, multi-puits, sessions, exports)
│ ├── planarian/ # App suivi planaires (métriques, export CSV)
│ ├── modules/ # Modules partagés (capture, GRBL, tracker, metrics…)
│ ├── manage.py
│ ├── run-server.sh
│ ├── run-workers.sh
│ ├── planarian_sim.py # Simulateur standalone (CLI)
│ └── .env / .env.example
└── browser.py # Ouverture navigateur local (utilitaire)
```
---
## Applications Django
### `scanner` — Pilotage CNC et acquisition
Modèles principaux :
| Modèle | Rôle |
|---|---|
| `Configuration` | Config globale active (caméra, GRBL, tracking, calibration) |
| `MultiWell` | Plaque multi-puits (position HG/HD/BG/BD, grille 6×4, pas XY, crop_radius) |
| `Well` | Puit individuel (nom Ai..Di) |
| `WellPosition` | Position XY mm d'un puit dans un MultiWell + px_per_mm (calibration optique caméra) |
| `VideoPlate` | Vidéo plaque entière associée à un MultiWell — champs : `px_per_mm` (échelle vidéo ~15 px/mm), `x_origin_mm` / `y_origin_mm` (origine CNC stable, indépendante de la calibration) |
| `Experiment` | Session de capture sur un MultiWell (durée, début/fin) |
| `Session` | Groupe d'expériences avec planification (ClockedSchedule one-shot) |
| `SessionExperiment` | Liaison Session ↔ Experiment |
| `ExperimentWell` | Liaison Experiment ↔ Well (puits actifs) |
Signaux Django :
- `post_save(MultiWell)` → génère automatiquement les `WellPosition` en serpentin
- `post_save(Session)` → crée les `PeriodicTask` Celery Beat (export + scanning)
- `post_delete(Session)` → supprime les `PeriodicTask` associées
Tâches Celery (`scanner/tasks.py`, `scanner/export_tasks.py`) :
- `run_scanning(session_id)` — parcours serpentin des puits (GRBL + capture)
- `run_session_exports(session_id)` — génération ZIP JPEG + MP4 + transfert distant
### `planarian` — Suivi multi-individus et métriques
Modèle `ExperimentConfig` : paramètres de tracking par puit (px_per_mm, fps, seuils).
---
## Modules partagés (`modules/`)
| Module | Rôle |
|---|---|
| `grbl.py` | Pilotage CNC via port série (G-code, homing, déplacement XY) |
| `grbl_simulator.py` | Simulateur GRBL pour dev sans matériel |
| `capture_interface.py` | Interface abstraite de capture — crop circulaire, edge enhance, debug overlay, tracking |
| `picamera2_capture.py` | Capture ArduCam via Picamera2 |
| `webcam_capture.py` | Capture webcam via OpenCV |
| `videofile_capture.py` | Lecture fichier vidéo (test/sim) |
| `videoplate_capture.py` | Capture par crop dynamique dans une vidéo plaque entière — position GRBL → région extraite, hot swap vidéo, plein cadre à l'origine |
| `planarian_tracker.py` | Tracking multi-individus : MOG2 + algorithme hongrois (`scipy`) |
| `planarian_metrics.py` | Métriques par frame et summary (mobilité, thigmo, photo, chemo, social) |
| `tube_aligner.py` | Détection HoughCircles + CLAHE, calibration optique, plage rayon configurable (`set_radius_range`) |
| `circular_crop.py` | Découpe circulaire des images de puit |
| `reductstore.py` | Interface ReductStore (stockage/lecture frames time série) |
| `system_stats.py` | Stats système (CPU, RAM, disque — affichage dashboard) |
---
## Métriques de tracking
**Par frame** : velocity, distance, moving, mobility_state, dist_to_wall_mm, near_wall,
dist_to_light_mm, heading_to_light_deg, fleeing_light, dist_to_food_mm, heading_to_food_deg,
approaching_food, in_food_zone, nearest_neighbour_mm, in_avoid_zone, in_aggreg_zone,
chem_repulsion_level.
**Summary** : totaux et pourcentages EthoVision-compatibles pour mobilité, thigmotactisme,
phototactisme, chimiotactisme, interactions sociales.
Export CSV compatible **EthoVision XT**.
---
## Configuration runtime
Fichier `.env` (python-decouple) dans `test_tube_scanner/` :
```
SECRET_KEY, DEBUG, DOMAIN_SERVER, ALLOWED_HOSTS, CSRF_TRUSTED_ORIGINS
APP_DATAS # chemin relatif vers datas/ (ex: ../datas)
DJANGO_APP # nom de l'app (home)
REDIS_URL # ex: redis://localhost:6379/0
REDUCTSTORE_URL # ex: http://localhost:8383
DB_* # MariaDB credentials
```
---
## Démarrage des services
Tous gérés par **Supervisor** :
```bash
# Interface web Supervisor
http://root:toor@<ip>:9001
# CLI
sudo supervisorctl start|stop|restart reductstore
sudo supervisorctl start|stop|restart test_tube:*
```
En dev :
```bash
cd test_tube_scanner
./manage.py runserver 0.0.0.0:8000
# Workers Celery séparés :
./run-workers.sh
```
Accès réseau : ajouter `<ip-rpi4> scanner.local` dans `/etc/hosts` des clients.
---
## Simulateur standalone
`test_tube_scanner/planarian_sim.py` — simulation CLI d'une arène circulaire (Ø 16 mm, 500×500 px),
export CSV EthoVision par planaire.
```bash
python3 planarian_sim.py --count 5 --thigmotaxis 0.4
python3 planarian_sim.py --count 5 --photo-mode fixed --photo-x 0.2 --photo-y 0.2 --photo-strength 0.6
```
`test_tube_scanner/make_videos.sh` — génération de 24 vidéos de simulation (une par puit).
---
## Mode capture vidéo plaque (`capture_type == 'video'`)
Alternative à la caméra ArduCam : une **vidéo de la plaque entière** enregistrée une fois,
rejouée en boucle pendant les scans. Adapté aux labos sans Raspberry Pi ou pour tests hors matériel.
### Flux
```
VideoPlateCapture.capture_frame()
→ lit la frame courante de la vidéo
→ extrait un carré 2r×2r centré sur (GRBL_x, GRBL_y) converti en pixels
→ si GRBL à (0,0) : retourne la frame entière (vue plaque)
→ sinon : retourne le crop du puit courant
→ process_frame()
→ edge_enhance (optionnel, CLAHE + Canny overlay vert)
→ TubeAligner.detect_tube() (optionnel, debug HoughCircles)
→ crop circulaire (optionnel)
```
### Calibration vidéo
- `VideoPlate.px_per_mm` : échelle de la vidéo (~15 px/mm) — **différent** de `WellPosition.px_per_mm` (~50 px/mm, optique caméra)
- `VideoPlate.x_origin_mm` / `y_origin_mm` : position CNC correspondant au pixel (0,0) de la vidéo — **stable**, jamais modifiée par la calibration des puits
- `MultiWell.crop_radius` : rayon du crop en pixels — contrôle la taille de la vue par puit
### Contrôles calibration UI (boutons)
| Bouton | Action |
|---|---|
| Debug | Active `TubeAligner.debug` — détection HoughCircles en continu |
| Overlay | Affiche/masque les annotations de détection sans couper la détection |
| Contours | Active edge enhance (CLAHE + Canny overlay vert) sur la frame propre |
| Recadrer | Active le crop circulaire + navigue vers la position Base (mode vidéo) |
### `TubeAligner.set_radius_range(min_ratio, max_ratio)`
Ajuste la plage de recherche HoughCircles en fraction de `min(w,h)` :
- Mode caméra : `0.260.37` (tube occupe ~30% du champ)
- Mode vidéo : `0.380.47` (puit remplit le crop, ratio ~0.430.50)
---
## Déploiement réseau isolé (labo sans internet)
```
GitHub ←→ Portable (internet) ←→ Routeur OpenWrt ←→ Machine labo (SSH)
```
Mise à jour sans internet :
```bash
# Sur la machine labo (une fois)
git config receive.denyCurrentBranch updateInstead
# Sur le portable — ajouter le labo comme remote
git remote add labo ssh://user@<ip-labo>/chemin/PlanarianScanner
# Workflow répétable
git pull origin video-plate-calibration # portable ← GitHub
git push labo video-plate-calibration # labo ← portable
```
---
## Licence
GPL-3.0
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---
## Fonctionnalités
### Application 1: Scanner de tube à essais
- Pilotage du bras CNC en GRBL — déplacement automatique puits par puits
- Calibration des multi-puits avec synchro base de données
- Acquisition image haute définition via ArduCam (OpenCV + Picamera2)
- Trois modes de capture :
- **ArduCam** (Picamera2) — caméra haute définition montée sur le bras
- **Webcam** — via OpenCV (développement / test)
- **Vidéo plaque** (`VideoPlateCapture`) — crop dynamique dans une vidéo plaque entière rejouée en boucle ; adapté aux scans sans caméra embarquée
- Calibration assistée :
- Détection automatique du centre du puit (Hough + CLAHE, plage rayon adaptable selon le mode)
- Overlay Canny vert pour visualiser les bords en conditions d'éclairage difficile
- Contrôles temps réel : Debug, Overlay annotations, Contours, Recadrage
- Stockage des frames en base time série ReductStore
- Sessions de scan paramétrables (grille complète ou sélection de puits)
- Export asynchrone (Celery) :
@@ -62,12 +71,43 @@ d'analyse distantes.
- Interface administration Django (sqlite3 ou mariadb ou postgresql)
- Suivi de progression des tâches longues par polling
Supporte plusieurs planaires avec paramètres configurables via django ou csv.
Export CSV par planaire compatible EthoVision XT.
### Application 2: Détection de planaires et suivi multi-individus dans un tube.
### Seuils EthoVision par défaut (configurables via django ou csv)
[🎬 Vidéo Simulation planaires](https://youtu.be/pkzClmBp_KM)
- Supporte plusieurs planaires avec paramètres configurables via django ou csv.
- Stratégie :
- Soustraction de fond MOG2 (léger sur Raspberry Pi 4)
- Détection de tous les contours valides (surface >= min_area_px)
- Association frame-à-frame par distance euclidienne minimale
via algorithme hongrois (scipy.optimize.linear_sum_assignment)
- Un état inter-frame indépendant par individu (PlanarianState)
- Retourne une liste de résultats, un par individu suivi
- Export CSV par planaire compatible EthoVision XT.
- Métriques par frame :
- Mobilité : velocity, distance, moving, mobility_state
- Thigmo : dist_to_wall_mm, near_wall
- Photo : dist_to_light_mm, heading_to_light_deg, fleeing_light
- Chemo : dist_to_food_mm, heading_to_food_deg, approaching_food, in_food_zone
- Social : nearest_neighbour_mm, in_avoid_zone, in_aggreg_zone, chem_repulsion_level
- Métriques résumé (summary) :
- Mobilité : movedCenter_pointTotal_mm, velocity_mean_mm_s, durations par état
- Thigmo : thigmotaxis_pct_time_near_wall
- Photo : photo_pct_time_fleeing, photo_mean_dist_mm, photo_latency_s
- Chemo : chemo_pct_time_approaching, chemo_pct_time_in_zone,
chemo_latency_s, chemo_mean_dist_mm
- Social : social_pct_time_avoiding, social_pct_time_aggregating,
social_mean_nn_mm, social_contact_events
- Seuils EthoVision par défaut (configurables via django ou csv)
- **Immobile** : déplacement < 0.2 mm/s
- **Mobile** : 0.2 à 1.5 mm/s
@@ -83,23 +123,43 @@ Export CSV par planaire compatible EthoVision XT.
| MobileFrequency / Duration | mobility_state | mobility_mobile_frequency/duration_s |
| Highly mobileFrequency / Duration | mobility_state | mobility_highly_mobile_frequency/duration_s |
### Métriques calculées
- Distance totale parcourue (mm) → movedCenter-pointTotalmm
- Vitesse instantanée (mm/s) → VelocityCenter-pointMeanmm/s
- Durée cumulée en mouvement (s) → MovementMoving
- Durée cumulée à l'arrêt (s) → MovementNot Moving
- Fréquence et durée par état de mobilité → Mobility state (EthoVision)
- Distance à la paroi (mm) → thigmotactisme
### Comportements
- Comportements
- **Thigmotactisme** : attraction vers la paroi (--thigmotaxis)
- **Phototactisme** : fuite de la lumière (--photo-mode, --photo-strength)
- **Chimiotactisme** : attraction vers une source de nourriture (--chemo-strength)
- **Inter-individus** : évitement de contact, agrégation, répulsion chimique
### Application 4: Simulation de planaires
- planarian_sim.py
Espace circulaire de 16mm de diamètre, 500x500px
Supporte plusieurs planaires avec paramètres configurables via arguments CLI.
Export CSV par planaire compatible EthoVision XT.
Comportements simulés :
- Thigmotactisme : attraction vers la paroi (--thigmotaxis)
- Phototactisme : fuite de la lumière (--photo-mode, --photo-strength)
- Chimiotactisme : attraction vers une source de nourriture (--chemo-strength)
- Inter-individus : évitement de contact, agrégation, répulsion chimique
Usage:
python3 planarian_sim.py [options]
Exemples:
python3 planarian_sim.py --count 5 --thigmotaxis 0.4
python3 planaire_sim.py --count 5 --photo-mode fixed --photo-x 0.2 --photo-y 0.2 --photo-strength 0.6
python3 planarian_sim.py --count 5 --chemo-x 0.7 --chemo-y 0.5 --chemo-strength 0.5
python3 planarian_sim.py --count 5 --avoid-strength 0.6 --aggreg-strength 0.2
- make_videos.sh
- Générateur de vidéos paramétrables
Usage:
- ./make_video.sh (génère le fichier par défaut)
- ./make_video.sh all (génère 24 vidéos pour 24 tubes à essais)
---
## Architecture
@@ -185,13 +245,6 @@ ou
sudo supervisorctl start|stop|restart reductstore
sudo supervisorctl start|stop|restart test_tube:*
Ajouter scanner.local au fichier hosts des clients web:
ip.du.rasp.berry scanner.local
- linux : /etc/hosts
- windows: C:\Windows\System32\drivers\etc\hosts
- mac : /private/etc/hosts"
```
## Organisation du dépôt
@@ -199,8 +252,6 @@ ip.du.rasp.berry scanner.local
```bash
PlanarianScanner/
├── assets
│   ├── calibration-auto.jpg
│   ├── calibration-auto.mp4
│   ├── calibration-auto.png
│   └── logo.png
├── browser.py
@@ -222,7 +273,6 @@ PlanarianScanner/
│   ├── scanner_service.conf
│   └── supervisor-inet_http.conf
├── LICENSE
├── logo.png
├── README.md
└── test_tube_scanner
├── home
@@ -312,14 +362,30 @@ PlanarianScanner/
---
## Procédure de calibration en 4 étapes
1. Activer "Debug détection" → voir le cercle et les zones sur le stream
## Procédure de calibration
Calibration auto
### Mode caméra (ArduCam / Webcam)
1. **Debug** → active la détection HoughCircles en continu (cercle + zones affiché)
2. **Overlay** → affiche/masque les annotations sans couper la détection
3. **Recadrer** → isole le puit et navigue vers la position Base
4. **Calibrage auto** → centrage automatique puit par puit avec sauvegarde
![Aperçu de la vidéo](assets/calibration-auto.png) Calibration auto
### Mode vidéo plaque
![Vidéo Calibration auto 🎬](https://www.linuxtarn.org/media/original_videos/calibration-auto.mp4) Vidéo Calibration auto
> **Note** : ce mode permet de piloter le scanner sans caméra embarquée sur le bras CNC.
> Une vidéo de la plaque entière est enregistrée une seule fois puis rejouée en boucle ;
> chaque déplacement GRBL extrait dynamiquement la zone du puit courant dans cette vidéo.
> Idéal pour les tests sans matériel ou les laboratoires ne disposant pas de caméra ArduCam.
1. Créer un enregistrement `VideoPlate` dans l'admin (upload vidéo, `px_per_mm`, `x_origin_mm`, `y_origin_mm`)
2. **Contours** → overlay Canny vert pour repérer les bords des puits selon l'éclairage
3. **Debug** → détection Hough adaptée (plage rayon élargie pour puit plein cadre)
4. **Recadrer** → active le crop + déplace vers la Base
5. Naviguer puit par puit, sauvegarder les positions
![Aperçu calibration auto](assets/calibration-auto.png)
[🎬 Vidéo Calibration auto](https://youtu.be/6RueJ3onUoY)
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@@ -0,0 +1,382 @@
# ![Planarians](assets/logo.png) PlanarianScanner
> Automated imaging system for behavioral tracking of planarians
> (C) dd@linuxtarn.org for the Biology Laboratory, Champollion University, Albi
---
## Overview
**PlanarianScanner** is a web application developed for monitoring the activity
and movements of **planarians** (*Platyhelminthes*) in laboratory research.
The system controls a motorized multi-well scanner composed of a CNC arm (GRBL)
and a high-definition ArduCam camera mounted on a Raspberry Pi 4. It enables
automated image acquisition on a **6×4 wells × 4 plates** grid,
high-performance storage of captures, and export to remote analysis machines.
---
## Hardware
| Component | Details |
|---|---|
| Board | Raspberry Pi 4 |
| Camera | High-definition ArduCam |
| Motion system | CNC arm (L2544) controlled by GRBL |
| Well grid | 6×4 × 4 multi-well plates |
| Network | Local LAN — Samba/rsync export |
---
## Technical Stack
| Layer | Technology |
|---|---|
| Backend | Django + Django Channels |
| Real-time | Redis (broker + channel layer) |
| Acquisition | OpenCV + Picamera2 |
| Storage | ReductStore (high-performance time series) |
| Asynchronous tasks | Celery + django-celery-beat |
| Export | Samba (CIFS), rsync/SSH |
| Platform | Raspberry Pi 4 — Debian Linux |
---
## Features
### Application 1: Test Tube Scanner
- CNC arm control through GRBL — automatic well-by-well movement
- Multi-well calibration with database synchronization
- Three capture modes:
- **ArduCam** (Picamera2) — high-definition camera mounted on the arm
- **Webcam** — via OpenCV (development / testing)
- **Plate video** (`VideoPlateCapture`) — dynamic crop from a full-plate video replayed in loop; suitable for scans without an embedded camera
- Assisted calibration:
- Automatic well-center detection (Hough + CLAHE, adjustable radius range per mode)
- Green Canny overlay to visualize well borders under difficult lighting
- Real-time controls: Debug, Annotation Overlay, Edge Enhance, Crop
- Frame storage in ReductStore time-series database
- Configurable scan sessions (full grid or selected wells)
- Asynchronous export (Celery):
- ZIP archive of JPEG images per session
- MP4 video generated from captured frames
- Automatic transfer of exports to remote machines (Linux / Windows)
- Nightly export scheduling via django-celery-beat
- Real-time web interface (Django Channels / WebSocket)
- Django administration interface (sqlite3 or mariadb or postgresql)
- Long-task progress tracking through polling
### Application 2: Planarian Detection and Multi-Individual Tracking in a Tube
[🎬 Planarian Simulation Video](https://youtu.be/pkzClmBp_KM)
- Supports multiple planarians with configurable parameters via Django or CSV.
- Strategy:
- MOG2 background subtraction (lightweight on Raspberry Pi 4)
- Detection of all valid contours (surface >= min_area_px)
- Frame-to-frame association using minimum Euclidean distance
via the Hungarian algorithm (scipy.optimize.linear_sum_assignment)
- Independent inter-frame state per individual (PlanarianState)
- Returns a list of results, one for each tracked individual
- Per-planarian CSV export compatible with EthoVision XT.
- Metrics per frame:
- Mobility : velocity, distance, moving, mobility_state
- Thigmo : dist_to_wall_mm, near_wall
- Photo : dist_to_light_mm, heading_to_light_deg, fleeing_light
- Chemo : dist_to_food_mm, heading_to_food_deg, approaching_food, in_food_zone
- Social : nearest_neighbour_mm, in_avoid_zone, in_aggreg_zone, chem_repulsion_level
- Summary metrics:
- Mobility : movedCenter_pointTotal_mm, velocity_mean_mm_s, state durations
- Thigmo : thigmotaxis_pct_time_near_wall
- Photo : photo_pct_time_fleeing, photo_mean_dist_mm, photo_latency_s
- Chemo : chemo_pct_time_approaching, chemo_pct_time_in_zone,
chemo_latency_s, chemo_mean_dist_mm
- Social : social_pct_time_avoiding, social_pct_time_aggregating,
social_mean_nn_mm, social_contact_events
- Default EthoVision thresholds (configurable via Django or CSV)
- **Immobile** : movement < 0.2 mm/s
- **Mobile** : 0.2 to 1.5 mm/s
- **Highly mobile** : > 1.5 mm/s
| EthoVision | CSV frames | CSV summary |
|---|---|---|
| movedCenter-pointTotalmm | total_distance_mm | movedCenter_pointTotal_mm |
| VelocityCenter-pointMeanmm/s | velocity_mm_s | velocity_mean_mm_s |
| MovementMoving | moving, duration_moving_s | movement_moving_duration_s |
| MovementNot Moving | duration_stopped_s | movement_not_moving_duration_s |
| ImmobileFrequency / Duration | mobility_state | mobility_immobile_frequency/duration_s |
| MobileFrequency / Duration | mobility_state | mobility_mobile_frequency/duration_s |
| Highly mobileFrequency / Duration | mobility_state | mobility_highly_mobile_frequency/duration_s |
- Behaviors
- **Thigmotaxis** : wall attraction (--thigmotaxis)
- **Phototaxis** : fleeing from light (--photo-mode, --photo-strength)
- **Chemotaxis** : attraction toward a food source (--chemo-strength)
- **Inter-individuals** : contact avoidance, aggregation, chemical repulsion
### Application 4: Planarian Simulation
- planarian_sim.py
Circular space of 16 mm diameter, 500x500 px
Supports multiple planarians with configurable parameters via CLI arguments.
Per-planarian CSV export compatible with EthoVision XT.
Simulated behaviors:
- Thigmotaxis : wall attraction (--thigmotaxis)
- Phototaxis : fleeing from light (--photo-mode, --photo-strength)
- Chemotaxis : attraction toward a food source (--chemo-strength)
- Inter-individual : contact avoidance, aggregation, chemical repulsion
Usage:
python3 planarian_sim.py [options]
Examples:
python3 planarian_sim.py --count 5 --thigmotaxis 0.4
python3 planarian_sim.py --count 5 --photo-mode fixed --photo-x 0.2 --photo-y 0.2 --photo-strength 0.6
python3 planarian_sim.py --count 5 --chemo-x 0.7 --chemo-y 0.5 --chemo-strength 0.5
python3 planarian_sim.py --count 5 --avoid-strength 0.6 --aggreg-strength 0.2
- make_videos.sh
- Configurable video generator
Usage:
- ./make_video.sh (generates the default file)
- ./make_video.sh all (generates 24 videos for 24 test tubes)
---
## Architecture
```text
Raspberry Pi 4
├── Django (web interface + API)
│ ├── Django Channels ←→ Redis (real-time WebSocket)
│ └── Celery workers
│ ├── scanning(session_id) — well traversal
│ ├── export_images_zip() — JPEG ZIP generation
│ ├── export_video_mp4() — MP4 generation (OpenCV)
│ └── transfer → /mnt/exports — Samba share
├── ArduCam ← Picamera2 / OpenCV — HD capture
├── CNC GRBL ← Serial — XY movement
└── ReductStore — frame time-series storage
Installation
Full documentation coming soon.
Using piImager, install Raspberry Pi OS 64-bit Trixie on the Raspberry Pi 4.<br>
Customize your Raspberry Pi with at least SSH enabled (SSH key or password).<br>
Later, for convenience, you may install a VNC server.
ssh rpi4@ip.of.raspi
git clone https://github.com/your-repo/planarianscanner.git
git@github.com:deunix-educ/PlanarianScanner.git
# modify environment variables if needed
cp .env.example .env
# Edit .env : SECRET_KEY, REDIS_URL, REDUCTSTORE_URL, ...
cd PlanarianScanner/etc
chmod +x *.sh
# install system libraries
./1-install-sys.sh
# compile reductstore (~15 min on Raspberry Pi 4)
./2-cargo-reductstore-install.sh
# install samba client
./3-install-samba-client.sh
# install mariadb
./4-install_mariadb.sh
# install adminer
./5-install_adminer.sh
# Configure Django applications
./6-install_django_app.sh
# test
sudo supervisorctl stop test_tube:*
./manage.py runserver 0.0.0.0:8000
# local test
# http://127.0.0.1:8000
# remote test
# http://ip.of.raspi:8000
# end of test
sudo supervisorctl restart test_tube:*
Starting services:
All services are accessible through supervisor
http://root:toor@ip-of-raspi:9001
or
sudo supervisorctl start|stop|restart reductstore
sudo supervisorctl start|stop|restart test_tube:*
Repository Organization
PlanarianScanner/
├── assets
│ ├── calibration-auto.png
│ └── logo.png
├── browser.py
├── etc
│ ├── 1-install-sys.sh
│ ├── 2-cargo-reductstore-install.sh
│ ├── 3-install-samba-client.sh
│ ├── 4-install_mariadb.sh
│ ├── 5-install_adminer.sh
│ ├── 6-install_django_app.sh
│ ├── db
│ │ ├── configuration.json
│ │ ├── multiwell.json
│ │ └── well.json
│ ├── install-linux-samba-server.sh
│ ├── nginx_service.conf
│ ├── reductstore_service.conf
│ ├── requirements.txt
│ ├── scanner_service.conf
│ └── supervisor-inet_http.conf
├── LICENSE
├── README.md
└── test_tube_scanner
├── home
│ ├── apps.py
│ ├── asgi.py
│ ├── celerymodule.py
│ ├── context_processors.py
│ ├── __init__.py
│ ├── locale
│ ├── management
│ ├── middleware.py
│ ├── __pycache__
│ ├── settings.py
│ ├── static
│ ├── templates
│ ├── templatetags
│ ├── urls.py
│ ├── views.py
│ └── wsgi.py
├── logs
│ ├── celery.log
│ └── test_tube.log
├── manage.py
├── media
│ ├── images
│ └── simulation
├── modules
│ ├── capture_interface.py
│ ├── circular_crop.py
│ ├── grbl.py
│ ├── __init__.py
│ ├── picamera2_capture_basic.py
│ ├── picamera2_capture.py
│ ├── planarian_metrics.py
│ ├── planarian_tracker.py
│ ├── __pycache__
│ ├── reductstore.py
│ ├── system_stats.py
│ ├── tube_aligner.py
│ ├── utils.py
│ ├── videofile_capture.py
│ └── webcam_capture.py
├── planarian
│ ├── admin.py
│ ├── apps.py
│ ├── forms.py
│ ├── __init__.py
│ ├── migrations
│ ├── models.py
│ ├── __pycache__
│ ├── templates
│ ├── tests.py
│ ├── urls.py
│ └── views.py
├── run-workers.sh
├── scanner
│ ├── admin.py
│ ├── apps.py
│ ├── constants.py
│ ├── consumers.py
│ ├── export_tasks.py
│ ├── __init__.py
│ ├── migrations
│ ├── models.py
│ ├── multiwell.py
│ ├── process.py
│ ├── __pycache__
│ ├── routing.py
│ ├── static
│ ├── tasks.py
│ ├── templates
│ ├── templatetags
│ ├── tests.py
│ ├── urls.py
│ └── views.py
├── staticfiles
│ ├── admin
│ ├── css
│ ├── img
│ ├── js
│ ├── scanner
│ └── webfonts
└── templates
└── admin
## Calibration Procedure
### Camera mode (ArduCam / Webcam)
1. **Debug** → enables continuous HoughCircles detection (circle + zones displayed)
2. **Overlay** → shows/hides annotations without stopping detection
3. **Crop** → isolates the well and navigates to the Base position
4. **Auto calibration** → automatic well-by-well centering with position save
### Plate video mode
> **Note**: this mode lets you drive the scanner without a camera mounted on the CNC arm.
> A single recording of the full plate is made once and replayed in a loop; each GRBL move
> dynamically crops the current well's region from that video. Ideal for hardware-free
> testing or labs without an ArduCam.
1. Create a `VideoPlate` record in admin (upload video, set `px_per_mm`, `x_origin_mm`, `y_origin_mm`)
2. **Edge Enhance** → green Canny overlay to locate well borders under variable lighting
3. **Debug** → Hough detection with wider radius range (well fills the crop)
4. **Crop** → activates circular crop + moves to Base position
5. Navigate well by well and save positions
![Auto calibration preview](assets/calibration-auto.png)
[🎬 Auto Calibration Video](https://youtu.be/6RueJ3onUoY)
## Status
![status](https://img.shields.io/badge/statut-en%20développement-orange)
![platform](https://img.shields.io/badge/plateforme-Raspberry%20Pi%204-red)
![python](https://img.shields.io/badge/python-3.11%2B-blue)
![django](https://img.shields.io/badge/django-4.2%2B-green)
![license](https://img.shields.io/badge/licence-GPL3-lightgrey)
---
## License
GPL-3.0 — Open-source project, developed for sharing and scientific reproducibility.
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@@ -1,4 +1,4 @@
!/bin/bash
#!/bin/bash
echo "==== System installation for rpi"
echo
@@ -7,8 +7,8 @@ sudo apt upgrade
ETC="$(pwd)"
mkdir -p $HOME/exports
mkdir -p$HOME/medias
mkdir -p "$HOME"/exports
mkdir -p "$HOME"/medias
mkdir -p /mnt/exports
cp ../test_tube_scanner/.env.example ../test_tube_scanner/.env
@@ -17,15 +17,15 @@ echo
# system
echo "==== system essential"
sudo apt -y install build-essential openssl git pkg-config redis supervisor sqlitebrowser samba-client cifs-utils gettext
sudo apt -y install build-essential openssl git pkg-config redis supervisor sqlitebrowser samba-client cifs-utils gettext avahi-daemon
echo "==== python3 install"
sudo apt -y install python3-dev python3-pip python3-venv libpq-dev default-libmysqlclient-dev libmariadb-dev python3-picamera2
echo "==== supervisor http access login:pass => root:toor"
sudo cp supervisor-inet_http.conf /etc/supervisor/conf.d/
sudo ln -s $ETC/scanner_service.conf /etc/supervisor/conf.d/
sudo ln -s $ETC/reductstore_service.conf /etc/supervisor/conf.d/
sudo ln -s "$ETC"/scanner_service.conf /etc/supervisor/conf.d/
sudo ln -s "$ETC"/reductstore_service.conf /etc/supervisor/conf.d/
echo "==== restart supervisor "
sudo systemctl restart supervisor
@@ -33,6 +33,7 @@ sudo systemctl restart supervisor
echo "==== python env with system site packages for picamera2"
rm -rf ../.venv
python -m venv --system-site-packages ../.venv
# shellcheck disable=SC1091
source ../.venv/bin/activate
echo "==== pip requirements"
+2 -2
View File
@@ -1,4 +1,4 @@
!/bin/bash
#!/bin/bash
echo "--- install reductstore"
echo " machine raspberry pi4"
echo " Compilation finished `release` profile [optimized] target(s) in 16m 31s"
@@ -11,4 +11,4 @@ cargo --version
rustc --version
cargo install reductstore
mkdir -p $HOME/medias
mkdir -p $HOME/reduct-media
+2
View File
@@ -50,6 +50,8 @@ sudo bash -c "echo '//$samba_server/$public_share /mnt/samba/public cifs guest,u
echo "Montage des partages Samba..."
sudo mount -a
sudo mkdir -p /mnt/samba/public/images /mnt/samba/public/videos
# Vérification du montage
echo "Vérification des partages montés :"
df -h | grep samba
+1 -2
View File
@@ -3,8 +3,7 @@
# Script d'installation et de configuration de MariaDB
# Utilisation : source mariadb_config.sh && ./install_mariadb.sh
ENV_FILE="../test_tube_scanner/.env"
source $ENV_FILE
source ../test_tube_scanner/.env
# Vérifie que le fichier de configuration est sourcé
if [ -z "$DATABASE_ROOT_PASSWORD" ] || [ -z "$DATABASE_NAME" ] || [ -z "$DATABASE_USER" ] || [ -z "$DATABASE_PASSWORD" ]; then
+2 -2
View File
@@ -1,8 +1,8 @@
[program:reductstore]
process_name=%(program_name)s
priority=10
environment=RS_DATA_PATH="/home/rpi4/medias"
directory=/home/rpi4/medias
environment=RS_DATA_PATH="/home/rpi4/reduct-media"
directory=/home/rpi4/reduct-media
command=/home/rpi4/.cargo/bin/reductstore
user=rpi4
group=rpi4
+3 -1
View File
@@ -11,6 +11,7 @@ twisted[tls,http2]
celery[redis]
python-decouple
PyYaml
requests
reduct-py
python-dateutil
psutil
@@ -19,4 +20,5 @@ opencv-python-headless
mysqlclient
psycopg2
pyserial
scipy
django-stubs[compatible-mypy]
+7 -5
View File
@@ -4,12 +4,14 @@ programs=webUI,planification,services
[program:webUI]
process_name=%(program_name)s
priority=500
directory=/home/rpi4/PlanarianScanner/test_tube_scanner
command=
/home/rpi4/PlanarianScanner/.venv/bin/daphne
-b 0.0.0.0
-p 8000
home.asgi:application
command=/home/rpi4/PlanarianScanner/test_tube_scanner/run-server.sh
# /home/rpi4/PlanarianScanner/.venv/bin/daphne
# -b 0.0.0.0
# -p 8000
# home.asgi:application
user=rpi4
group=rpi4
stopasgroup=true
+16
View File
@@ -0,0 +1,16 @@
{
"venvPath": ".",
"venv": ".venv",
"pythonVersion": "3.13",
"extraPaths": ["test_tube_scanner"],
"typeCheckingMode": "basic",
"reportMissingImports": false,
"reportMissingModuleSource": false,
"reportOptionalMemberAccess": false,
"reportOptionalSubscript": false,
"reportOptionalIterable": false,
"reportPossiblyUnboundVariable": "warning",
"reportCallIssue": false,
"reportArgumentType": false,
"reportAttributeAccessIssue": false
}
+7 -2
View File
@@ -2,6 +2,7 @@
# django app
DEBUG=True
IS_LOGGING=True
GRBL_SIMULATION = False
# app
DJANGO_APP=Test Tube Scanner
@@ -19,6 +20,8 @@ APP_DATAS=test_tube_scanner
EXPORTS_LOCAL_PATH=/home/rpi4/exports
EXPORT_REMOTE_PATH=/mnt/exports
REDUCTSTORE_PATH=/home/rpi4/medias
CSV_EXPORT_DIR=/home/rpi4/exports/csv
BACKUP_DIR=/home/rpi4/backup/mariadb
####
# django email
@@ -39,12 +42,14 @@ SECRET_KEY="django-insecure-0)4_w=pjv1ex7=s=c=ii3g@fx_=8fb=hxk€3bpk1)uj(0ph0t)
USER=rpi4
GROUP=rpi4
DOMAIN_SERVER=scanner.local
ALLOWED_HOSTS=127.0.0.1,localhost
CSRF_TRUSTED_ORIGINS=http://127.0.0.1:8000,http://localhost:8000
ALLOWED_HOSTS=127.0.0.1,localhost,scanner.local,192.168.250.230,192.168.1.200
CSRF_TRUSTED_ORIGINS=http://127.0.0.1:8000,http://localhost:8000,http://scanner.local,http://192.168.1.200:8000,http://192.168.250.230:8000
####
# server app
LOCAL_IP_SERVER=192.168.1.200
SERVER_HOST_IP=0.0.0.0
SERVER_HOST_PORT=8000
+61
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@@ -0,0 +1,61 @@
'''
Created on 18 mai 2026
@author: denis
'''
from pathlib import Path
from datetime import datetime
import subprocess
import gzip
import shutil
from django.conf import settings
BACKUP_DIR = Path(settings.BACKUP_DIR)
def mariadb_backup():
BACKUP_DIR.mkdir(parents=True, exist_ok=True)
db = settings.DATABASES["default"]
db_name = db["NAME"]
db_user = db["USER"]
db_password = db["PASSWORD"]
db_host = db.get("HOST", "localhost")
db_port = str(db.get("PORT", 3306))
timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
sql_file = BACKUP_DIR / f"{db_name}_{timestamp}.sql"
gz_file = BACKUP_DIR / f"{db_name}_{timestamp}.sql.gz"
cmd = [
"mariadb-dump",
"--single-transaction",
"--quick",
"--routines",
"--triggers",
"-h", db_host,
"-P", db_port,
"-u", db_user,
f"-p{db_password}",
db_name,
]
with open(sql_file, "wb") as f:
result = subprocess.run(
cmd,
stdout=f,
stderr=subprocess.PIPE,
check=True,
)
with open(sql_file, "rb") as f_in:
with gzip.open(gz_file, "wb") as f_out:
shutil.copyfileobj(f_in, f_out)
sql_file.unlink()
return str(gz_file)
+12
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@@ -0,0 +1,12 @@
'''
Created on 18 mai 2026
@author: denis
'''
from celery import shared_task
from .services import mariadb_backup
@shared_task
def backup_mariadb_task():
path = mariadb_backup()
return {"status": "ok", "backup": path, }
+3
View File
@@ -8,3 +8,6 @@ os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'home.settings')
appc = Celery('home')
appc.config_from_object('django.conf:settings', namespace='CELERY')
appc.autodiscover_tasks()
worker_prefetch_multiplier = 1
task_acks_late = True
File diff suppressed because it is too large Load Diff
File diff suppressed because it is too large Load Diff
@@ -31,7 +31,7 @@ class Command(BaseCommand):
)
print()
print(f"Export video: {job.id}")
print(f"Export video: {job.id}") # type: ignore[union-attr]
except Exception as e:
print("Export video uuid error", e)
@@ -13,7 +13,7 @@ def create_user():
if User.objects.count() == 0:
for email, username, password, is_superuser in settings.ADMINS:
if is_superuser:
User.objects.create_superuser(
User.objects.create_superuser( # type: ignore[attr-defined]
email=email,
username=username,
password=password,
@@ -21,7 +21,7 @@ def create_user():
is_superuser=is_superuser,
)
else:
User.objects.create_user(
User.objects.create_user( # type: ignore[attr-defined]
email=email,
username=username,
password=password,
@@ -2,7 +2,7 @@
# encoding: utf-8
from uuid import uuid4
from django.core.management import BaseCommand
from django.core.management.utils import get_random_string;
from django.utils.crypto import get_random_string
class Command(BaseCommand):
def add_arguments(self, parser):
@@ -7,7 +7,6 @@ from django.core.management.base import BaseCommand
from scanner import tasks as scanner_tasks
class Command(BaseCommand):
help = "Démarre les tâches Celery."
@@ -18,9 +17,9 @@ class Command(BaseCommand):
def handle(self, *args, **options): # @UnusedVariable
#task = options['task']
try:
scanner_tasks.scanner_start.delay() # @UndefinedVariable
scanner_tasks.replay_start.delay() # @UndefinedVariable
except Exception as e:
print(e)
@@ -4,7 +4,11 @@ Created on 19 janv. 2026
@author: denis
'''
from django.core.management.base import BaseCommand
from modules.grbl import GRBLController, wait_for
from modules.grbl import GRBLController
import threading
def wait_for(delay: float = 1.0) -> None:
threading.Event().wait(delay)
import time
+34 -13
View File
@@ -19,9 +19,7 @@ BASE_DIR = Path(__file__).resolve().parent.parent
print("Django BASE_DIR:", BASE_DIR)
PACKAGE_DIR = BASE_DIR.parent
APP_DATAS = PACKAGE_DIR / config('APP_DATAS')
APP_DATAS = PACKAGE_DIR / str(config('APP_DATAS'))
# Quick-start development settings - unsuitable for production
# See https://docs.djangoproject.com/en/5.0/howto/deployment/checklist/
@@ -37,10 +35,10 @@ SECRET_KEY = config("SECRET_KEY")
DEBUG = config('DEBUG', cast=bool)
DOMAIN_SERVER = config("DOMAIN_SERVER")
ALLOWED_HOSTS = config('ALLOWED_HOSTS', cast=Csv())
ALLOWED_HOSTS: list = list(config('ALLOWED_HOSTS', cast=Csv()))
ALLOWED_HOSTS += [DOMAIN_SERVER, '*']
CSRF_TRUSTED_ORIGINS = config('CSRF_TRUSTED_ORIGINS', cast=Csv())
CSRF_TRUSTED_ORIGINS: list = list(config('CSRF_TRUSTED_ORIGINS', cast=Csv()))
CSRF_TRUSTED_ORIGINS += [f'http://{DOMAIN_SERVER}', f'https://{DOMAIN_SERVER}']
SECURE_CROSS_ORIGIN_OPENER_POLICY = 'same-origin'
@@ -61,6 +59,7 @@ INSTALLED_APPS = [
'django_celery_results',
'celery',
'home',
'backup',
'scanner',
'planarian',
@@ -216,12 +215,11 @@ LOCALE_PATHS = (
STATIC_URL = '/static/'
STATIC_ROOT = APP_DATAS / 'staticfiles'
print("Django application STATIC_ROOT:", STATIC_ROOT)
MEDIA_URL = '/media/'
MEDIA_ROOT = APP_DATAS / 'media'
print("Django application MEDIA_ROOT:", MEDIA_ROOT)
print("Django application MEDIA_ROOT:", MEDIA_ROOT, "\nDjango application STATIC_ROOT:", STATIC_ROOT)
"""
@@ -239,8 +237,9 @@ DEFAULT_AUTO_FIELD = 'django.db.models.BigAutoField'
## LOGGING
# CRITICAL=50, ERROR=40, WARN=30, INFO=20, DEBUG=10 and NOTSET=0
LOGGING_FILE = config('LOGGING_FILE')
LOGGING_FILE: str = str(config('LOGGING_FILE'))
IS_LOGGING = config('IS_LOGGING', cast=bool)
IS_LOGGING = False
LOGGING = None if not IS_LOGGING else {
'version': 1,
@@ -347,6 +346,7 @@ DJANGO_CELERY_BEAT_TZ_AWARE = False
CELERY_ENABLE_UTC = True
CELERY_TASK_TRACK_STARTED = True
CELERY_TASK_TIME_LIMIT = 30 * 60
CELERY_TASK_SOFT_TIME_LIMIT = 20 * 60
CELERY_BEAT_SCHEDULER = 'django_celery_beat.schedulers:DatabaseScheduler'
CELERY_ACCEPT_CONTENT = ['application/json']
CELERY_RESULT_SERIALIZER = 'json'
@@ -356,6 +356,15 @@ CELERY_RESULT_EXTENDED = True
CELERY_RESULT_BACKEND = 'django-db'
DJANGO_CELERY_RESULTS_TASK_ID_MAX_LENGTH=191
from celery.schedules import crontab
CELERY_BEAT_SCHEDULE = {
"mariadb-backup-every-night": {
"task": "backup.tasks.backup_mariadb_task",
"schedule": crontab(hour=2, minute=0),
},
}
## reductstore
#
REDUCTSTORE_TOKEN = config('REDUCTSTORE_TOKEN')
@@ -364,6 +373,8 @@ REDUCTSTORE_PORT = config('REDUCTSTORE_PORT', cast=int)
REDUCTSTORE_URL = f'http://{REDUCTSTORE_HOST}:{REDUCTSTORE_PORT}'
REDUCTSTORE_PATH = config("REDUCTSTORE_PATH")
BACKUP_DIR = config('BACKUP_DIR')
## servers app
#
USER = config('USER')
@@ -371,6 +382,8 @@ GROUP = config('GROUP')
SERVER_HOST_PORT = config('SERVER_HOST_PORT', cast=int)
SERVER_HOST_IP = config('SERVER_HOST_IP')
LOCAL_IP_SERVER = config('LOCAL_IP_SERVER')
# ws
SCANNER_WEBSOCKET_ROUTE = 'ws/scanner'
REPLAY_WEBSOCKET_ROUTE = 'ws/replay'
@@ -385,20 +398,28 @@ DATETIME_FORMAT = '%d-%m-%Y-%m %H:%M:%S'
#===========================
# default configuration
#
#===========================
# rpicam 4056x3040 2028x1080 2028x1520
#===========================
GRBL_SIMULATION = config('GRBL_SIMULATION', cast=bool)
EXPORTS_LOCAL_PATH = config("EXPORTS_LOCAL_PATH")
EXPORT_REMOTE_PATH = config("EXPORT_REMOTE_PATH")
EXPORT_DESTINATIONS = ["local", "remote"]
#EXPORT_DESTINATIONS = ["remote"] # only remote
TEST_VIDEOFILE = False
CSV_EXPORT_DIR = config("CSV_EXPORT_DIR") # ou None pour mémoire uniquement
TRACKING = True
## tracker default parameters
#
TRACKER_TUBE_AXIS = "vertical"
TRACKER_MIN_AREA = 200
TRACKER_MIN_AREA = 20 # surface min planaire px x px
TRACKER_MAX_AREA_RATIO = 0.1 # 5% de la frame = surface max acceptable
TRACKER_MAX_PLANARIANS = 4
TRACKER_MERGE_KERNEL_SIZE = 15 # augmenter si fragments résiduels
TRACKER_MIN_CONTOUR_DIST_PX = 40 # augmenter si IDs multiples persistent
CALIBRATION_AUTO_DURATION = 45.0
CALIBRATION_AUTO_TIMEOUT = 2.5
@@ -0,0 +1,98 @@
/* ============================================================
doc_calibration.css
Styles spécifiques à la page de calibration du scanner.
Dépend de doc_database.css (variables, composants de base).
============================================================ */
/* ─── Badge teal ─── */
.badge-teal {
background: rgba(45,212,191,.12);
color: var(--accent-teal);
border: 1px solid rgba(45,212,191,.3);
}
/* ─── Badge blue ─── */
.badge-blue {
background: rgba(88,166,255,.12);
color: var(--accent-blue);
border: 1px solid rgba(88,166,255,.3);
}
/* ─── Tag teal ─── */
.tag-teal {
background: rgba(45,212,191,.12);
color: var(--accent-teal);
border: 1px solid rgba(45,212,191,.2);
}
/* ─── Schéma des 3 zones de l'écran ─── */
.screen-layout {
display: grid;
grid-template-columns: 1fr 2fr 1fr;
gap: 8px;
margin-bottom: 24px;
border: 1px solid var(--border);
border-radius: var(--radius);
overflow: hidden;
background: var(--bg-card);
}
.screen-zone {
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
gap: 8px;
padding: 20px 10px;
font-size: 12px;
font-weight: 600;
color: var(--text-secondary);
text-align: center;
border-right: 1px solid var(--border);
transition: background .15s;
}
.screen-zone:last-child { border-right: none; }
.screen-zone i { font-size: 20px; }
.zone-left { color: var(--accent-indigo); }
.zone-left i { color: var(--accent-indigo); }
.zone-center {
background: rgba(45,212,191,.04);
color: var(--accent-teal);
}
.zone-center i { font-size: 26px; color: var(--accent-teal); }
.zone-right { color: var(--accent-orange); }
.zone-right i { color: var(--accent-orange); }
/* ─── Barre visuelle des seuils de centrage ─── */
.center-bar {
display: flex;
margin-top: 12px;
border-radius: var(--radius-sm);
overflow: hidden;
height: 28px;
font-size: 11px;
font-weight: 700;
}
.cb-seg {
flex: 1;
display: flex;
align-items: center;
justify-content: center;
}
.cb-red { background: rgba(248,81,73,.18); color: var(--accent-red); border: 1px solid rgba(248,81,73,.3); }
.cb-yellow { background: rgba(227,179,65,.18); color: var(--accent-yellow); border: 1px solid rgba(227,179,65,.3); }
.cb-green { background: rgba(63,185,80,.18); color: var(--accent-green); border: 1px solid rgba(63,185,80,.3); }
/* ─── Responsive ─── */
@media (max-width: 768px) {
.screen-layout {
grid-template-columns: 1fr;
}
.screen-zone {
border-right: none;
border-bottom: 1px solid var(--border);
padding: 14px;
}
.screen-zone:last-child { border-bottom: none; }
}
@@ -0,0 +1,521 @@
/* ============================================================
doc_database.css
Feuille de style de la documentation base de données
Dépendances : w3.css, all.css (Font Awesome)
Fond sombre, style industriel/technique
============================================================ */
/* ─── Variables globales ─── */
:root {
--bg-base: #0d1117;
--bg-surface: #161b22;
--bg-card: #1c2128;
--bg-card-hover: #21262d;
--border: #30363d;
--border-strong: #484f58;
--text-primary: #e6edf3;
--text-secondary: #8b949e;
--text-muted: #6e7681;
--text-code: #79c0ff;
--accent-blue: #58a6ff;
--accent-cyan: #39d353;
--accent-green: #3fb950;
--accent-teal: #2dd4bf;
--accent-orange: #f0883e;
--accent-yellow: #e3b341;
--accent-red: #f85149;
--accent-purple: #bc8cff;
--accent-indigo: #818cf8;
--nav-width: 240px;
--header-h: 90px;
--radius: 8px;
--radius-sm: 4px;
--shadow: 0 4px 16px rgba(0,0,0,.4);
--font-mono: 'JetBrains Mono', 'Fira Code', 'Consolas', monospace;
--font-body: 'Segoe UI', system-ui, sans-serif;
}
/* ─── Reset minimal ─── */
*, *::before, *::after { box-sizing: border-box; }
a { color: var(--accent-blue); text-decoration: none; }
/*a:hover { text-decoration: underline; }*/
ul { padding: 0; margin: 0; list-style: none; }
/* ─── Mise en page principale ─── */
.doc-wrapper {
display: grid;
grid-template-columns: var(--nav-width) 1fr;
grid-template-rows: auto 1fr;
grid-template-areas:
"header header"
"sidenav content";
min-height: 100vh;
background: var(--bg-base);
color: var(--text-primary);
font-family: var(--font-body);
font-size: 14px;
line-height: 1.6;
}
/* ─── En-tête ─── */
.doc-header {
grid-area: header;
background: linear-gradient(135deg, #1a2236 0%, #0d1117 60%, #1a1a2e 100%);
border-bottom: 1px solid var(--border-strong);
padding: 20px 28px;
}
.doc-header-inner {
display: flex;
align-items: center;
gap: 18px;
max-width: 1200px;
}
.doc-header-icon {
width: 52px; height: 52px;
background: linear-gradient(135deg, var(--accent-blue), var(--accent-indigo));
border-radius: var(--radius);
display: flex; align-items: center; justify-content: center;
font-size: 22px;
color: #fff;
flex-shrink: 0;
box-shadow: 0 4px 12px rgba(88,166,255,.3);
}
.doc-title {
margin: 0;
font-size: 22px;
font-weight: 700;
color: var(--text-primary);
}
.doc-subtitle {
margin: 2px 0 0;
font-size: 13px;
color: var(--text-secondary);
}
/* ─── Navigation latérale ─── */
.doc-sidenav {
grid-area: sidenav;
background: var(--bg-surface);
border-right: 1px solid var(--border);
padding: 20px 0;
position: sticky;
top: 0;
height: 100vh;
overflow-y: auto;
}
.nav-section-label {
font-size: 11px;
font-weight: 700;
text-transform: uppercase;
letter-spacing: .08em;
color: var(--text-muted);
padding: 0 16px 8px;
margin: 0;
}
.nav-link {
display: flex;
align-items: center;
gap: 8px;
padding: 7px 16px;
color: var(--text-secondary);
font-size: 13px;
transition: all .15s;
border-left: 2px solid transparent;
}
.nav-link:hover {
color: var(--text-primary);
background: var(--bg-card);
text-decoration: none;
}
.nav-link.active {
color: var(--accent-blue);
border-left-color: var(--accent-blue);
background: rgba(88,166,255,.08);
}
.nav-link.nav-sub {
padding-left: 28px;
font-size: 12.5px;
}
.nav-link.nav-sub-2 {
padding-left: 42px;
font-size: 12px;
}
/* ─── Contenu principal ─── */
.doc-content {
grid-area: content;
padding: 28px 32px;
max-width: 1100px;
}
/* ─── Sections ─── */
.doc-section {
margin-bottom: 48px;
}
.subsection {
margin-top: 32px;
padding-top: 24px;
border-top: 1px solid var(--border);
}
.sub-subsection {
margin-top: 24px;
}
.section-header {
margin-bottom: 20px;
}
.section-header h2 {
margin: 6px 0 6px;
font-size: 20px;
font-weight: 700;
color: var(--text-primary);
display: flex;
align-items: center;
gap: 10px;
}
.section-desc {
margin: 0;
color: var(--text-secondary);
font-size: 13px;
}
.subsection-title {
font-size: 16px;
font-weight: 600;
margin: 0 0 14px;
color: var(--text-primary);
display: flex;
align-items: center;
gap: 8px;
}
.table-title {
font-size: 14px;
font-weight: 600;
margin: 0 0 12px;
color: var(--text-primary);
display: flex;
align-items: center;
gap: 8px;
flex-wrap: wrap;
}
.table-desc {
color: var(--text-secondary);
font-weight: 400;
font-size: 12.5px;
}
/* ─── Badges de section ─── */
.section-badge {
display: inline-block;
font-size: 10px;
font-weight: 700;
text-transform: uppercase;
letter-spacing: .06em;
padding: 2px 8px;
border-radius: 20px;
margin-bottom: 6px;
}
.badge-time { background: rgba(57,211,83,.12); color: var(--accent-green); border: 1px solid rgba(57,211,83,.3); }
.badge-orange { background: rgba(240,136,62,.12); color: var(--accent-orange); border: 1px solid rgba(240,136,62,.3);}
/* ─── Ligne de cartes ─── */
.info-row {
display: flex;
gap: 14px;
flex-wrap: wrap;
margin-bottom: 14px;
}
/* ─── Cartes d'information ─── */
.info-card {
background: var(--bg-card);
border: 1px solid var(--border);
border-radius: var(--radius);
padding: 16px;
display: flex;
gap: 14px;
flex: 1;
min-width: 220px;
transition: background .15s, box-shadow .15s;
border-left-width: 3px;
}
.info-card:hover {
background: var(--bg-card-hover);
box-shadow: var(--shadow);
}
.info-card.full-width { flex: 1 1 100%; }
.card-icon {
width: 36px; height: 36px;
border-radius: var(--radius-sm);
display: flex; align-items: center; justify-content: center;
font-size: 16px;
flex-shrink: 0;
opacity: .85;
}
.card-body { flex: 1; min-width: 0; }
.card-body h4 {
margin: 0 0 6px;
font-size: 13.5px;
font-weight: 600;
color: var(--text-primary);
display: flex;
align-items: center;
gap: 8px;
flex-wrap: wrap;
}
.card-body p {
margin: 0 0 8px;
color: var(--text-secondary);
font-size: 13px;
}
/* Accents colorés des cartes */
.card-accent-blue { border-left-color: var(--accent-blue); }
.card-accent-blue .card-icon { background: rgba(88,166,255,.12); color: var(--accent-blue); }
.card-accent-cyan { border-left-color: var(--accent-cyan); }
.card-accent-cyan .card-icon { background: rgba(57,211,83,.12); color: var(--accent-cyan); }
.card-accent-green { border-left-color: var(--accent-green); }
.card-accent-green .card-icon { background: rgba(63,185,80,.12); color: var(--accent-green); }
.card-accent-teal { border-left-color: var(--accent-teal); }
.card-accent-teal .card-icon { background: rgba(45,212,191,.12); color: var(--accent-teal); }
.card-accent-orange { border-left-color: var(--accent-orange); }
.card-accent-orange .card-icon { background: rgba(240,136,62,.12); color: var(--accent-orange); }
.card-accent-yellow { border-left-color: var(--accent-yellow); }
.card-accent-yellow .card-icon { background: rgba(227,179,65,.12); color: var(--accent-yellow); }
.card-accent-red { border-left-color: var(--accent-red); }
.card-accent-red .card-icon { background: rgba(248,81,73,.12); color: var(--accent-red); }
.card-accent-purple { border-left-color: var(--accent-purple); }
.card-accent-purple .card-icon { background: rgba(188,140,255,.12);color: var(--accent-purple); }
.card-accent-indigo { border-left-color: var(--accent-indigo); }
.card-accent-indigo .card-icon { background: rgba(129,140,248,.12);color: var(--accent-indigo); }
/* ─── Lien d'accès ─── */
.access-link {
font-family: var(--font-mono);
font-size: 12.5px;
color: var(--accent-blue);
word-break: break-all;
}
.access-link .fa-external-link-alt { font-size: 10px; margin-left: 4px; }
/* ─── Listes documentaires ─── */
.doc-list {
display: flex;
flex-direction: column;
gap: 6px;
margin: 0;
padding: 0;
}
.doc-list li {
display: flex;
align-items: flex-start;
gap: 8px;
color: var(--text-secondary);
font-size: 13px;
padding: 4px 0;
border-bottom: 1px solid rgba(48,54,61,.5);
}
.doc-list li:last-child { border-bottom: none; }
.doc-list li i {
width: 16px;
text-align: center;
margin-top: 2px;
flex-shrink: 0;
}
/* ─── Tags ─── */
.tag-list {
display: flex;
flex-wrap: wrap;
gap: 6px;
margin-top: 8px;
}
.tag-list.inline {
display: inline-flex;
margin-top: 0;
margin-left: 4px;
}
.tag {
font-size: 11px;
padding: 2px 8px;
border-radius: 20px;
font-weight: 600;
}
.tag-blue { background: rgba(88,166,255,.12); color: var(--accent-blue); border: 1px solid rgba(88,166,255,.2); }
.tag-green { background: rgba(63,185,80,.12); color: var(--accent-green); border: 1px solid rgba(63,185,80,.2); }
.tag-orange { background: rgba(240,136,62,.12); color: var(--accent-orange); border: 1px solid rgba(240,136,62,.2);}
.tag-gray { background: rgba(110,118,129,.12); color: var(--text-secondary);border: 1px solid rgba(110,118,129,.2);}
/* ─── Grille de puits ─── */
.well-grid {
display: flex;
flex-wrap: wrap;
gap: 6px;
margin-top: 10px;
}
/* Grille serpentin : 6 colonnes fixes, 4 lignes (D/C/B/A) */
.well-grid--serpentine {
display: grid;
grid-template-columns: repeat(6, 1fr);
gap: 5px;
margin-top: 12px;
}
.well-chip {
font-family: var(--font-mono);
font-size: 12px;
font-weight: 700;
padding: 5px 4px;
border-radius: var(--radius-sm);
text-align: center;
letter-spacing: .03em;
/* couleur par défaut (teal) */
background: rgba(45,212,191,.1);
border: 1px solid rgba(45,212,191,.25);
color: var(--accent-teal);
}
/* Couleurs distinctes par ligne */
.wc-d {
background: rgba(248,81,73,.10);
border-color: rgba(248,81,73,.25);
color: var(--accent-red);
}
.wc-c {
background: rgba(240,136,62,.10);
border-color: rgba(240,136,62,.25);
color: var(--accent-orange);
}
.wc-b {
background: rgba(88,166,255,.10);
border-color: rgba(88,166,255,.25);
color: var(--accent-blue);
}
.wc-a {
background: rgba(63,185,80,.10);
border-color: rgba(63,185,80,.25);
color: var(--accent-green);
}
/* ─── Grille de position multi-puits ─── */
.position-grid {
display: grid;
grid-template-columns: 1fr 1fr;
gap: 8px;
margin: 10px 0;
}
.pos-cell {
background: rgba(129,140,248,.08);
border: 1px solid rgba(129,140,248,.2);
border-radius: var(--radius-sm);
padding: 8px 10px;
text-align: center;
font-weight: 700;
font-size: 13px;
color: var(--accent-indigo);
transition: background .15s;
}
.pos-cell.active:hover {
background: rgba(129,140,248,.18);
}
.pos-cell small {
display: block;
font-weight: 400;
font-size: 11px;
color: var(--text-secondary);
}
/* ─── Badges inline ─── */
.badge-auto {
font-size: 10px;
background: rgba(63,185,80,.12);
color: var(--accent-green);
border: 1px solid rgba(63,185,80,.25);
padding: 1px 6px;
border-radius: 20px;
margin-left: 4px;
font-weight: 600;
}
.badge-important {
font-size: 10px;
background: rgba(248,81,73,.15);
color: var(--accent-red);
border: 1px solid rgba(248,81,73,.3);
padding: 1px 6px;
border-radius: 20px;
margin-left: 4px;
font-weight: 700;
}
/* ─── Boîte d'alerte ─── */
.alert-box {
margin-top: 10px;
background: rgba(248,81,73,.08);
border: 1px solid rgba(248,81,73,.25);
border-radius: var(--radius-sm);
padding: 8px 12px;
color: var(--accent-red);
font-size: 12.5px;
font-weight: 600;
display: flex;
align-items: center;
gap: 8px;
}
/* ─── Description de tâche ─── */
.task-desc {
margin: 3px 0 0;
color: var(--text-muted);
font-size: 12px;
}
/* ─── Aide contextuelle ─── */
.hint {
margin: 8px 0 0;
color: var(--text-muted);
font-size: 12px;
}
/* ─── Code inline ─── */
code {
font-family: var(--font-mono);
font-size: 12.5px;
color: var(--text-code);
background: rgba(88,166,255,.07);
padding: 1px 5px;
border-radius: 3px;
border: 1px solid rgba(88,166,255,.12);
}
/* ─── Couleurs utilitaires ─── */
.text-gold { color: #d4a017; }
.text-blue { color: var(--accent-blue); }
.text-gray { color: var(--text-muted); }
.text-green { color: var(--accent-green); }
.text-cyan { color: var(--accent-cyan); }
/* ─── Scrollbar personnalisée ─── */
::-webkit-scrollbar { width: 6px; }
::-webkit-scrollbar-track { background: var(--bg-base); }
::-webkit-scrollbar-thumb { background: var(--border-strong); border-radius: 3px; }
::-webkit-scrollbar-thumb:hover { background: var(--text-muted); }
/* ─── Responsive ─── */
@media (max-width: 768px) {
.doc-wrapper {
grid-template-columns: 1fr;
grid-template-areas:
"header"
"content";
}
.doc-sidenav { display: none; }
.doc-content { padding: 16px; }
.info-card { min-width: 100%; }
}
@@ -0,0 +1,126 @@
/* ============================================================
doc_experiments.css
Styles spécifiques à la page "Démarrer des expériences".
Dépend de doc_database.css + doc_calibration.css.
============================================================ */
/* ─── Badges supplémentaires ─── */
.badge-green {
background: rgba(63,185,80,.12);
color: var(--accent-green);
border: 1px solid rgba(63,185,80,.3);
}
.badge-purple {
background: rgba(188,140,255,.12);
color: var(--accent-purple);
border: 1px solid rgba(188,140,255,.3);
}
.badge-orange {
background: rgba(240,136,62,.12);
color: var(--accent-orange);
border: 1px solid rgba(240,136,62,.3);
}
/* ─── Tags supplémentaires ─── */
.tag-purple {
background: rgba(188,140,255,.12);
color: var(--accent-purple);
border: 1px solid rgba(188,140,255,.2);
}
.tag-yellow {
background: rgba(227,179,65,.12);
color: var(--accent-yellow);
border: 1px solid rgba(227,179,65,.2);
}
/* ─── Étapes numérotées ─── */
ol.doc-steps {
list-style: none;
padding: 0;
margin: 8px 0 0;
counter-reset: step-counter;
display: flex;
flex-direction: column;
gap: 8px;
}
ol.doc-steps li {
display: flex;
align-items: flex-start;
gap: 10px;
color: var(--text-secondary);
font-size: 13px;
counter-increment: step-counter;
padding: 6px 8px;
background: rgba(255,255,255,.02);
border-radius: var(--radius-sm);
border: 1px solid var(--border);
transition: background .12s;
}
ol.doc-steps li:hover {
background: rgba(255,255,255,.05);
}
ol.doc-steps li::before {
content: counter(step-counter);
min-width: 20px;
height: 20px;
border-radius: 50%;
background: rgba(88,166,255,.15);
color: var(--accent-blue);
font-size: 11px;
font-weight: 700;
display: flex;
align-items: center;
justify-content: center;
flex-shrink: 0;
margin-top: 1px;
}
ol.doc-steps li i {
width: 16px;
text-align: center;
margin-top: 2px;
flex-shrink: 0;
}
/* ─── Alert info (bleu, non critique) ─── */
.alert-box.alert-info {
background: rgba(88,166,255,.08);
border-color: rgba(88,166,255,.25);
color: var(--accent-blue);
}
/* ─── Titre de groupe de métriques ─── */
.metrics-group-title {
font-size: 13px;
font-weight: 600;
color: var(--text-secondary);
margin: 16px 0 10px;
display: flex;
align-items: center;
gap: 8px;
text-transform: uppercase;
letter-spacing: .05em;
}
.metrics-group-title i {
color: var(--text-muted);
}
/* ─── Cartes métriques : padding réduit ─── */
.metrics-card {
min-width: 180px;
}
.metrics-card .card-body h4 {
font-size: 13px;
margin-bottom: 8px;
}
/* ─── Tags métriques : inline compact ─── */
.metric-tags {
display: flex;
flex-wrap: wrap;
gap: 5px;
margin-top: 4px;
}
.metric-tags .tag {
font-family: var(--font-mono);
font-size: 11px;
}
@@ -0,0 +1,114 @@
/* ============================================================
doc_media.css
Styles spécifiques à la page "Gestionnaire de médias".
Dépend de doc_database.css + doc_calibration.css
+ doc_experiments.css
+ doc_scanning.css
+ doc_results.css.
============================================================ */
/* ─── Badge purple ─── */
.badge-purple {
background: rgba(188,140,255,.12);
color: var(--accent-purple);
border: 1px solid rgba(188,140,255,.3);
}
/* ─── Prévisualisation grille ─── */
.grid-preview {
display: flex;
align-items: center;
gap: 10px;
margin-top: 14px;
flex-wrap: wrap;
}
.gp-col {
width: 28px; height: 28px;
border-radius: 50%;
background: rgba(188,140,255,.12);
border: 1px solid rgba(188,140,255,.25);
color: var(--accent-purple);
display: flex; align-items: center; justify-content: center;
font-size: 13px;
cursor: default;
}
/* Chaque démo de grille */
.gp-demo {
display: grid;
gap: 3px;
flex: 1;
min-width: 60px;
max-width: 120px;
}
.gp-demo span {
height: 22px;
border-radius: 3px;
background: rgba(188,140,255,.15);
border: 1px solid rgba(188,140,255,.2);
}
.gp-2 { grid-template-columns: repeat(2, 1fr); }
.gp-3 { grid-template-columns: repeat(3, 1fr); }
.gp-4 { grid-template-columns: repeat(4, 1fr); }
/* ─── Contrôles lecteur vidéo ─── */
.player-controls {
display: flex;
gap: 8px;
margin-top: 10px;
flex-wrap: wrap;
}
.player-btn {
display: flex;
flex-direction: column;
align-items: center;
gap: 4px;
padding: 10px 16px;
border-radius: var(--radius-sm);
font-size: 11px;
font-weight: 600;
flex: 1;
min-width: 60px;
border: 1px solid var(--border);
transition: background .15s;
}
.player-btn i { font-size: 16px; }
.player-btn span { color: var(--text-secondary); }
.btn-play {
background: rgba(63,185,80,.08);
border-color: rgba(63,185,80,.25);
color: var(--accent-green);
}
.btn-play:hover { background: rgba(63,185,80,.16); }
.btn-pause {
background: rgba(227,179,65,.08);
border-color: rgba(227,179,65,.25);
color: var(--accent-yellow);
}
.btn-pause:hover { background: rgba(227,179,65,.16); }
.btn-stop {
background: rgba(248,81,73,.08);
border-color: rgba(248,81,73,.25);
color: var(--accent-red);
}
.btn-stop:hover { background: rgba(248,81,73,.16); }
/* ─── Badge export différé ─── */
.deferred-badge {
display: inline-flex;
align-items: center;
gap: 6px;
margin-top: 10px;
padding: 5px 12px;
border-radius: 20px;
font-size: 12px;
font-weight: 600;
background: rgba(45,212,191,.08);
border: 1px solid rgba(45,212,191,.25);
color: var(--accent-teal);
}
@@ -0,0 +1,32 @@
/* ============================================================
doc_results.css
Styles spécifiques à la page "Exploiter les résultats".
Dépend de doc_database.css + doc_calibration.css
+ doc_experiments.css
+ doc_scanning.css.
============================================================ */
/* ─── Bloc chemin serveur ─── */
.path-block {
display: flex;
align-items: center;
gap: 12px;
margin-top: 10px;
padding: 10px 14px;
background: rgba(45,212,191,.06);
border: 1px solid rgba(45,212,191,.2);
border-radius: var(--radius-sm);
color: var(--accent-teal);
}
.path-block i {
font-size: 16px;
flex-shrink: 0;
}
.path-block code {
color: var(--accent-teal);
background: transparent;
border: none;
font-size: 13px;
letter-spacing: .03em;
word-break: break-all;
}
@@ -0,0 +1,54 @@
/* ============================================================
doc_scanning.css
Styles spécifiques à la page "Balayage des puits".
Dépend de doc_database.css + doc_calibration.css
+ doc_experiments.css.
============================================================ */
/* ─── Badge indigo ─── */
.badge-indigo {
background: rgba(129,140,248,.12);
color: var(--accent-indigo);
border: 1px solid rgba(129,140,248,.3);
}
/* ─── Badge red ─── */
.badge-red {
background: rgba(248,81,73,.12);
color: var(--accent-red);
border: 1px solid rgba(248,81,73,.3);
}
/* ─── Badge superadmin ─── */
.badge-superadmin {
font-size: 10px;
background: rgba(188,140,255,.15);
color: var(--accent-purple);
border: 1px solid rgba(188,140,255,.3);
padding: 1px 8px;
border-radius: 20px;
margin-left: 6px;
font-weight: 700;
font-family: var(--font-mono);
}
/* ─── Exemple UUID ─── */
.uuid-example {
display: flex;
align-items: center;
gap: 10px;
margin-top: 10px;
padding: 8px 12px;
background: rgba(227,179,65,.06);
border: 1px dashed rgba(227,179,65,.25);
border-radius: var(--radius-sm);
color: var(--accent-yellow);
font-size: 12.5px;
}
.uuid-example code {
color: var(--accent-yellow);
background: transparent;
border: none;
font-size: 12.5px;
letter-spacing: .04em;
}
+11 -1
View File
@@ -1,6 +1,6 @@
/*
** custom.js
** GNU GENERAL PUBLIC LICENSE: (c) DD miraceti.net return document.querySelectorAll(id);
** GNU GENERAL PUBLIC LICENSE: (c) DD miraceti.net
*/
let s = function(sel) { return document.querySelector(sel); };
let ss = function(sel) { return document.querySelectorAll(sel); };
@@ -40,3 +40,13 @@ function timestampToLocalISOString(timestamp) {
return toLocalISOString(date);
}
function getCookie(name) {
const match = document.cookie.match('(?:^|; )' + name + '=([^;]*)');
return match ? decodeURIComponent(match[1]) : null;
}
function csrfFetch(url, options = {}) {
options.headers = { ...(options.headers || {}), 'X-CSRFToken': getCookie('csrftoken') };
return fetch(url, options);
}
@@ -0,0 +1,473 @@
{% extends 'scanner/base.html' %}
{% load i18n %}
{% block columns %}{% endblock %}
{% block styles %}
{{ block.super }}
<link rel="stylesheet" href="/static/css/doc_database.css">
<link rel="stylesheet" href="/static/css/doc_calibration.css">
{% endblock %}
{% block content %}
<div class="doc-wrapper">
<!-- ─── En-tête ─── -->
<header class="doc-header">
<div class="doc-header-inner">
<div class="doc-header-icon" style="background: linear-gradient(135deg, var(--accent-teal), var(--accent-blue));">
<i class="fas fa-crosshairs"></i>
</div>
<div>
<h1 class="doc-title">{% trans "Calibration du scanner" %}</h1>
<p class="doc-subtitle">{% trans "Procédure, organisation de l'écran et commandes disponibles" %}</p>
</div>
</div>
</header>
<!-- ─── Navigation latérale ─── -->
<nav class="doc-sidenav" id="sidenav">
<p class="nav-section-label">{% trans "Navigation" %}</p>
<a href="#section-intro" class="nav-link active"><i class="fas fa-info-circle"></i> {% trans "Présentation" %}</a>
<a href="#section-screen" class="nav-link"> <i class="fas fa-desktop"></i> {% trans "Organisation écran" %}</a>
<a href="#section-left" class="nav-link nav-sub"><i class="fas fa-arrows-alt"></i> {% trans "Panneau gauche" %}</a>
<a href="#section-center" class="nav-link nav-sub"><i class="fas fa-video"></i> {% trans "Centre — vidéo live" %}</a>
<a href="#section-right" class="nav-link nav-sub"><i class="fas fa-sliders-h"></i> {% trans "Panneau droit" %}</a>
<a href="#section-centering" class="nav-link nav-sub-2"><i class="fas fa-dot-circle"></i> {% trans "Centrage" %}</a>
<a href="#section-base" class="nav-link nav-sub-2"><i class="fas fa-map-pin"></i> {% trans "Définir la base" %}</a>
</nav>
<!-- ─── Contenu principal ─── -->
<main class="doc-content">
<!-- ============================================================ -->
<!-- SECTION 1 : Présentation -->
<!-- ============================================================ -->
<section class="doc-section" id="section-intro">
<div class="section-header">
<span class="section-badge badge-teal">{% trans "Prérequis" %}</span>
<h2><i class="fas fa-crosshairs"></i> {% trans "Calibration" %}</h2>
<p class="section-desc">
{% trans "La calibration est indispensable au fonctionnement du scanner." %}<br>
<i class="fas fa-exclamation-triangle w3-text-red"></i> {% trans "Affichage des logs en bas de page" %}
</p>
</div>
<div class="info-row">
<!-- Pourquoi calibrer -->
<div class="info-card card-accent-teal">
<div class="card-icon"><i class="fas fa-bullseye"></i></div>
<div class="card-body">
<h4>{% trans "Objectifs" %}</h4>
<ul class="doc-list">
<li>
<i class="fas fa-camera text-blue"></i>
{% trans "Pointer l'axe de la caméra dans l'axe du tube." %}
</li>
<li>
<i class="fas fa-crop-alt text-cyan"></i>
{% trans "Recadrer l'image pour porter l'origine du suivi des planaires au centre du tube." %}
</li>
</ul>
</div>
</div>
<!-- Avantage recadrage -->
<div class="info-card card-accent-green">
<div class="card-icon"><i class="fas fa-compress-arrows-alt"></i></div>
<div class="card-body">
<h4>{% trans "Avantage du recadrage" %}</h4>
<ul class="doc-list">
<li>
<i class="fas fa-hdd text-green"></i>
{% trans "Réduit la taille des images stockées." %}
</li>
</ul>
</div>
</div>
</div>
<!-- IMPORTANT : base de départ -->
<div class="info-row">
<div class="info-card card-accent-red full-width">
<div class="card-icon"><i class="fas fa-exclamation-triangle"></i></div>
<div class="card-body">
<h4>{% trans "IMPORTANT — Avant toute manipulation" %} <span class="badge-important">{% trans "IMPORTANT" %}</span></h4>
<p>{% trans "Pour tout multi-puits, trouver la base de départ avant de commencer." %}</p>
</div>
</div>
</div>
</section>
<!-- ============================================================ -->
<!-- SECTION 2 : Organisation de l'écran -->
<!-- ============================================================ -->
<section class="doc-section" id="section-screen">
<div class="section-header">
<span class="section-badge badge-blue">{% trans "Interface" %}</span>
<h2><i class="fas fa-desktop"></i> {% trans "Organisation de l'écran" %}</h2>
<p class="section-desc">{% trans "L'écran de calibration est divisé en trois zones fonctionnelles." %}</p>
</div>
<!-- Schéma des 3 zones -->
<div class="screen-layout">
<div class="screen-zone zone-left">
<i class="fas fa-arrows-alt"></i>
<span>{% trans "Déplacements" %}</span>
</div>
<div class="screen-zone zone-center">
<i class="fas fa-video"></i>
<span>{% trans "Vidéo live" %}</span>
</div>
<div class="screen-zone zone-right">
<i class="fas fa-sliders-h"></i>
<span>{% trans "Commandes" %}</span>
</div>
</div>
<!-- ─── Panneau GAUCHE ─── -->
<div class="subsection" id="section-left">
<h3 class="subsection-title">
<i class="fas fa-arrow-left"></i> {% trans "Panneau gauche — Déplacements caméra" %}
</h3>
<div class="info-row">
<!-- Sélection & vitesse -->
<div class="info-card card-accent-indigo">
<div class="card-icon"><i class="fas fa-exchange-alt"></i></div>
<div class="card-body">
<h4>{% trans "Sélection & vitesse" %}</h4>
<ul class="doc-list">
<li><i class="fas fa-th"></i> {% trans "Changer de multi-puits" %}</li>
<li><i class="fas fa-tachometer-alt"></i> {% trans "Modifier la vitesse (mm/mn)" %}</li>
<li><i class="fas fa-ruler-horizontal"></i> {% trans "Modifier le pas de déplacement (mm)" %}</li>
</ul>
</div>
</div>
<!-- Manœuvre manuelle -->
<div class="info-card card-accent-blue">
<div class="card-icon"><i class="fas fa-gamepad"></i></div>
<div class="card-body">
<h4>{% trans "Manœuvre manuelle" %}</h4>
<ul class="doc-list">
<li>
<i class="fas fa-arrows-alt"></i>
{% trans "Déplacement" %}
<div class="tag-list inline">
<span class="tag tag-blue">±X</span>
<span class="tag tag-blue">±Y</span>
</div>
</li>
<li><i class="fas fa-save"></i> {% trans "Sauver la position courante" %}</li>
</ul>
</div>
</div>
<!-- Déplacement puit à puit -->
<div class="info-card card-accent-cyan">
<div class="card-icon"><i class="fas fa-step-forward"></i></div>
<div class="card-body">
<h4>{% trans "Navigation puit à puit" %}</h4>
<ul class="doc-list">
<li><i class="fas fa-arrow-right text-cyan"></i> {% trans "Boutons de déplacement puit à puit" %}</li>
<li><i class="fas fa-compress-arrows-alt text-cyan"></i> {% trans "Bouton centrage manuel" %}</li>
<li><i class="fas fa-magic text-cyan"></i> {% trans "Bouton calibrage automatique" %}</li>
</ul>
</div>
</div>
</div>
<!-- Sous-section : Définir la base -->
<div class="sub-subsection" id="section-base">
<h4 class="table-title">
<i class="fas fa-map-pin"></i>
{% trans "Définir la base" %}
<span class="badge-important">{% trans "IMPORTANT" %}</span>
</h4>
<div class="info-row">
<!-- Création en BDD -->
<div class="info-card card-accent-orange">
<div class="card-icon"><i class="fas fa-database"></i></div>
<div class="card-body">
<h4>{% trans "À la création du multi-puits en base" %}</h4>
<ul class="doc-list">
<li>
<i class="fas fa-map-marker-alt text-orange"></i>
{% trans "Fixe la base par défaut en" %} <code>(50, 50)</code>
</li>
<li>
<i class="fas fa-calculator text-orange"></i>
{% trans "Calcule et enregistre toutes les positions des puits dans" %}
<code>scanner.wellposition</code>
<p class="task-desc">
<i class="fas fa-bolt text-green"></i>
{% trans "Permet de gagner du temps au centrage manuel ou automatique." %}
</p>
</li>
</ul>
</div>
</div>
<!-- Donnée positions générées -->
<div class="info-card card-accent-yellow">
<div class="card-icon"><i class="fas fa-sync-alt"></i></div>
<div class="card-body">
<h4>
{% trans "Positions générées" %} — <code>scanner.multiwell</code>
<span class="badge-important">{% trans "ATTENTION" %}</span>
</h4>
<ul class="doc-list">
<li>
<i class="fas fa-check-circle text-green"></i>
{% trans "À la création : donnée fixée à" %} <strong>{% trans "Oui" %}</strong>
</li>
<li>
<i class="fas fa-times-circle text-red"></i>
{% trans "Non → efface" %} <code>WellPosition</code>
{% trans "et recalcule toutes les positions" %}
</li>
</ul>
</div>
</div>
</div>
<!-- Bouton Définir la base -->
<div class="info-row">
<div class="info-card card-accent-blue full-width">
<div class="card-icon"><i class="fas fa-flag-checkered"></i></div>
<div class="card-body">
<h4>{% trans "Bouton « Définir la base »" %}</h4>
<ul class="doc-list">
<li>
<i class="fas fa-map-marker text-blue"></i>
{% trans "Fixe la base aux coordonnées" %} <code>(X, Y)</code> {% trans "courantes" %}
</li>
<li>
<i class="fas fa-redo text-blue"></i>
{% trans "Recalcule toutes les positions des puits dans" %} <code>scanner.wellposition</code>
</li>
</ul>
</div>
</div>
</div>
</div>
<!-- Sous-section : Centrage -->
<div class="sub-subsection" id="section-centering">
<h4 class="table-title">
<i class="fas fa-dot-circle"></i>
{% trans "Centrage manuel / automatique" %}
<span class="badge-important">{% trans "ATTENTION" %}</span>
</h4>
<div class="info-row">
<!-- Conditions -->
<div class="info-card card-accent-purple">
<div class="card-icon"><i class="fas fa-lightbulb"></i></div>
<div class="card-body">
<h4>{% trans "Conditions requises" %}</h4>
<ul class="doc-list">
<li>
<i class="fas fa-sun text-yellow"></i>
{% trans "Éclairage important des puits — éviter les ombres." %}
</li>
<li>
<i class="fas fa-toggle-on text-blue"></i>
{% trans "Actif uniquement si Debug" %} <strong>{% trans "ET" %}</strong> {% trans "Recadrage activés (commandes à droite)." %}
</li>
</ul>
</div>
</div>
<!-- Indicateurs visuels -->
<div class="info-card card-accent-indigo">
<div class="card-icon"><i class="fas fa-circle-notch"></i></div>
<div class="card-body">
<h4>{% trans "Indicateurs visuels de centrage" %}</h4>
<ul class="doc-list">
<li>
<i class="fas fa-circle" style="color:#f85149;"></i>
<strong class="text-red">{% trans "Cercle rouge" %}</strong>
— {% trans "déplacement centre" %} <code>&lt; 20 px</code>
</li>
<li>
<i class="fas fa-circle" style="color:#e3b341;"></i>
<strong style="color:var(--accent-yellow);">{% trans "Cercle jaune" %}</strong>
— {% trans "au plus près" %} <code>&lt; 5 px</code>
</li>
<li>
<i class="fas fa-circle" style="color:#3fb950;"></i>
<strong class="text-green">{% trans "Cercle vert" %}</strong>
— {% trans "centré" %}
</li>
</ul>
<!-- Barre visuelle des seuils -->
<div class="center-bar">
<div class="cb-seg cb-red">
<span>&lt; 20 px</span>
</div>
<div class="cb-seg cb-yellow">
<span>&lt; 5 px</span>
</div>
<div class="cb-seg cb-green">
<span>{% trans "OK" %}</span>
</div>
</div>
</div>
</div>
</div>
</div>
</div>
<!-- ─── CENTRE ─── -->
<div class="subsection" id="section-center">
<h3 class="subsection-title">
<i class="fas fa-video"></i> {% trans "Centre — Vidéo live" %}
</h3>
<div class="info-row">
<div class="info-card card-accent-teal full-width">
<div class="card-icon"><i class="fas fa-film"></i></div>
<div class="card-body">
<h4>{% trans "Flux vidéo en temps réel" %}</h4>
<p>{% trans "Affiche le flux caméra en direct, avec ou sans recadrage selon l'état de la commande." %}</p>
<div class="tag-list">
<span class="tag tag-teal">{% trans "Recadrage actif" %}</span>
<span class="tag tag-gray">{% trans "Image pleine" %}</span>
</div>
</div>
</div>
</div>
</div>
<!-- ─── PANNEAU DROIT ─── -->
<div class="subsection" id="section-right">
<h3 class="subsection-title">
<i class="fas fa-arrow-right"></i> {% trans "Panneau droit — Commandes" %}
</h3>
<div class="info-row">
<!-- Navigation rapide -->
<div class="info-card card-accent-blue">
<div class="card-icon"><i class="fas fa-location-arrow"></i></div>
<div class="card-body">
<h4>{% trans "Navigation rapide" %}</h4>
<ul class="doc-list">
<li><i class="fas fa-home text-blue"></i> {% trans "Déplacer à l'origine (0, 0)" %}</li>
<li><i class="fas fa-map-pin text-blue"></i> {% trans "Aller à la base du multi-puits" %}</li>
</ul>
</div>
</div>
<!-- Bascules -->
<div class="info-card card-accent-indigo">
<div class="card-icon"><i class="fas fa-toggle-on"></i></div>
<div class="card-body">
<h4>{% trans "Bascules" %}</h4>
<ul class="doc-list">
<li>
<i class="fas fa-bug text-purple"></i>
{% trans "Debug" %}
<div class="tag-list inline">
<span class="tag tag-green">{% trans "Oui" %}</span>
<span class="tag tag-gray">{% trans "Non" %}</span>
</div>
</li>
<li>
<i class="fas fa-ruler-combined text-purple"></i>
{% trans "Tracer axes" %}
<div class="tag-list inline">
<span class="tag tag-green">{% trans "Oui" %}</span>
<span class="tag tag-gray">{% trans "Non" %}</span>
</div>
</li>
<li>
<i class="fas fa-crop-alt text-purple"></i>
{% trans "Recadrage" %}
<div class="tag-list inline">
<span class="tag tag-green">{% trans "Oui" %}</span>
<span class="tag tag-gray">{% trans "Non" %}</span>
</div>
</li>
</ul>
</div>
</div>
</div>
<div class="info-row">
<!-- Rayon de recadrage -->
<div class="info-card card-accent-cyan">
<div class="card-icon"><i class="fas fa-circle-notch"></i></div>
<div class="card-body">
<h4>{% trans "Rayon de recadrage" %}</h4>
<p>{% trans "Ajuster le recadrage en pixels." %}</p>
</div>
</div>
<!-- Durée test -->
<div class="info-card card-accent-orange">
<div class="card-icon"><i class="fas fa-stopwatch"></i></div>
<div class="card-body">
<h4>{% trans "Durée entre puits" %}</h4>
<p>{% trans "Durée de pause entre chaque puit lors du test du circuit." %}</p>
</div>
</div>
<!-- Tester le circuit -->
<div class="info-card card-accent-green">
<div class="card-icon"><i class="fas fa-route"></i></div>
<div class="card-body">
<h4>{% trans "Tester le circuit" %}</h4>
<p>{% trans "Vérifier les déplacements en parcourant automatiquement tous les puits." %}</p>
</div>
</div>
</div>
<!-- ARRÊT -->
<div class="info-row">
<div class="info-card card-accent-red full-width">
<div class="card-icon"><i class="fas fa-hand-paper"></i></div>
<div class="card-body">
<h4>
{% trans "ARRÊT" %}
<span class="badge-important">{% trans "URGENCE" %}</span>
</h4>
<div class="alert-box">
<i class="fas fa-stop-circle"></i>
{% trans "Stoppe immédiatement tout mouvement du scanner." %}
</div>
</div>
</div>
</div>
</div><!-- end section-right -->
</section><!-- end section-screen -->
</main>
</div>
{% endblock %}
{% block js_footer %}
{{ block.super }}
<script>
/* Mise en évidence du lien actif dans la navigation latérale */
(function () {
const links = document.querySelectorAll('.nav-link');
const sections = document.querySelectorAll('[id^="section-"]');
const observer = new IntersectionObserver(
(entries) => {
entries.forEach(entry => {
if (entry.isIntersecting) {
links.forEach(l => l.classList.remove('active'));
const target = document.querySelector(`.nav-link[href="#${entry.target.id}"]`);
if (target) target.classList.add('active');
}
});
},
{ rootMargin: '-10% 0px -80% 0px' }
);
sections.forEach(s => observer.observe(s));
})();
</script>
{% endblock %}
@@ -0,0 +1,510 @@
{% extends 'scanner/base.html' %}
{% load i18n %}
{% block columns %}{% endblock %}
{% block styles %}
{{ block.super }}
<link href="/static/css/doc_database.css" rel="stylesheet">
{% endblock %}
{% block content %}
<div class="doc-wrapper">
<!-- En-tête de la documentation -->
<header class="doc-header">
<div class="doc-header-inner">
<div class="doc-header-icon">
<i class="fas fa-database"></i>
</div>
<div>
<h1 class="doc-title">{% trans "Architecture des bases de données" %}</h1>
<p class="doc-subtitle">{% trans "Planarian Scanner — Infrastructure de stockage et modèles de données" %}</p>
</div>
</div>
</header>
<!-- Navigation latérale -->
<nav class="doc-sidenav" id="sidenav">
<p class="nav-section-label">{% trans "Navigation" %}</p>
<a href="#section-reductstore" class="nav-link active">
<i class="fas fa-wave-square"></i> ReductStore
</a>
<a href="#section-mariadb" class="nav-link">
<i class="fas fa-server"></i> MariaDB
</a>
<a href="#section-auth" class="nav-link nav-sub">
<i class="fas fa-shield-alt"></i> {% trans "Authentification" %}
</a>
<a href="#section-planarian" class="nav-link nav-sub">
<i class="fas fa-microscope"></i> Planarian
</a>
<a href="#section-scanner" class="nav-link nav-sub">
<i class="fas fa-camera"></i> Scanner
</a>
<a href="#section-config" class="nav-link nav-sub-2">
<i class="fas fa-sliders-h"></i> {% trans "Configuration" %}
</a>
<a href="#section-wells" class="nav-link nav-sub-2">
<i class="fas fa-circle"></i> {% trans "Puits" %}
</a>
<a href="#section-multiwell" class="nav-link nav-sub-2">
<i class="fas fa-th"></i> {% trans "Multi-puits" %}
</a>
<a href="#section-wellpos" class="nav-link nav-sub-2">
<i class="fas fa-map-marker-alt"></i> {% trans "Positions" %}
</a>
<a href="#section-experiments" class="nav-link nav-sub-2">
<i class="fas fa-flask"></i> {% trans "Expériences" %}
</a>
<a href="#section-sessions" class="nav-link nav-sub-2">
<i class="fas fa-play-circle"></i> {% trans "Sessions" %}
</a>
<a href="#section-celery" class="nav-link nav-sub-2">
<i class="fas fa-tasks"></i> Celery Beat
</a>
</nav>
<!-- Contenu principal -->
<main class="doc-content">
<!-- ============================================================ -->
<!-- SECTION 1 : ReductStore -->
<!-- ============================================================ -->
<section class="doc-section" id="section-reductstore">
<div class="section-header">
<span class="section-badge badge-time">{% trans "Séries temporelles" %}</span>
<h2><i class="fas fa-wave-square"></i> ReductStore</h2>
<p class="section-desc">{% trans "Base de données de séries temporelles pour les images et métriques de l'application." %}</p>
</div>
<div class="info-row">
<div class="info-card card-accent-blue">
<div class="card-icon"><i class="fas fa-link"></i></div>
<div class="card-body">
<h4>{% trans "Accès" %}</h4>
<a href="http://192.168.1.200:8383/ui/dashboard" target="_blank" class="access-link">
192.168.1.200:8383/ui/dashboard <i class="fas fa-external-link-alt"></i>
</a>
</div>
</div>
</div>
<h3 class="subsection-title"><i class="fas fa-bucket"></i> {% trans "Buckets" %}</h3>
<div class="info-row">
<div class="info-card card-accent-cyan">
<div class="card-icon"><i class="fas fa-images"></i></div>
<div class="card-body">
<h4><code>camera</code></h4>
<p>{% trans "Stockage des images capturées par la caméra." %}</p>
<div class="tag-list">
<span class="tag tag-blue">JPEG</span>
<span class="tag tag-gray">{% trans "Séries temporelles" %}</span>
</div>
</div>
</div>
<div class="info-card card-accent-cyan">
<div class="card-icon"><i class="fas fa-chart-line"></i></div>
<div class="card-body">
<h4><code>planarian_metrics</code></h4>
<p>{% trans "Métriques de suivi des planaires." %}</p>
<div class="tag-list">
<span class="tag tag-green">JSON</span>
<span class="tag tag-gray">{% trans "Séries temporelles" %}</span>
</div>
</div>
</div>
</div>
</section>
<!-- ============================================================ -->
<!-- SECTION 2 : MariaDB -->
<!-- ============================================================ -->
<section class="doc-section" id="section-mariadb">
<div class="section-header">
<span class="section-badge badge-orange">{% trans "Base relationnelle" %}</span>
<h2><i class="fas fa-server"></i> MariaDB</h2>
<p class="section-desc">{% trans "Base de données relationnelle principale de l'application Django." %}</p>
</div>
<div class="info-row">
<div class="info-card card-accent-orange">
<div class="card-icon"><i class="fas fa-database"></i></div>
<div class="card-body">
<h4>Adminer</h4>
<a href="http://192.168.1.200/adminer/" target="_blank" class="access-link">
192.168.1.200/adminer/ <i class="fas fa-external-link-alt"></i>
</a>
</div>
</div>
<div class="info-card card-accent-orange">
<div class="card-icon"><i class="fas fa-user-shield"></i></div>
<div class="card-body">
<h4>{% trans "Administration Django" %}</h4>
<a href="http://192.168.1.200/admin" target="_blank" class="access-link">
192.168.1.200/admin <i class="fas fa-external-link-alt"></i>
</a>
</div>
</div>
</div>
<!-- -------------------------------------------------------- -->
<!-- Authentification -->
<!-- -------------------------------------------------------- -->
<div class="subsection" id="section-auth">
<h3 class="subsection-title"><i class="fas fa-shield-alt"></i> {% trans "Authentification & Autorisation" %}</h3>
<div class="info-row">
<div class="info-card card-accent-purple">
<div class="card-icon"><i class="fas fa-users-cog"></i></div>
<div class="card-body">
<h4>{% trans "Groupes" %}</h4>
<ul class="doc-list">
<li><i class="fas fa-crown text-gold"></i> Admin</li>
<li><i class="fas fa-user-tie text-blue"></i> Staff</li>
<li><i class="fas fa-user text-gray"></i> {% trans "Staff limité" %}</li>
</ul>
</div>
</div>
<div class="info-card card-accent-purple">
<div class="card-icon"><i class="fas fa-user-circle"></i></div>
<div class="card-body">
<h4>{% trans "Utilisateurs" %}</h4>
<ul class="doc-list">
<li><i class="fas fa-star text-gold"></i> superadmin</li>
</ul>
</div>
</div>
</div>
</div>
<!-- -------------------------------------------------------- -->
<!-- Planarian -->
<!-- -------------------------------------------------------- -->
<div class="subsection" id="section-planarian">
<h3 class="subsection-title"><i class="fas fa-microscope"></i> {% trans "Application Planarian" %}</h3>
<div class="info-row">
<div class="info-card card-accent-green full-width">
<div class="card-icon"><i class="fas fa-vials"></i></div>
<div class="card-body">
<h4><code>planarian_experimentconfig</code></h4>
<p>{% trans "Configurations des expériences de suivi des planaires." %}</p>
</div>
</div>
</div>
</div>
<!-- -------------------------------------------------------- -->
<!-- Scanner -->
<!-- -------------------------------------------------------- -->
<div class="subsection" id="section-scanner">
<h3 class="subsection-title"><i class="fas fa-camera"></i> {% trans "Application Scanner" %}</h3>
<!-- Configuration -->
<div class="sub-subsection" id="section-config">
<h4 class="table-title">
<i class="fas fa-sliders-h"></i>
<code>scanner_configuration</code>
<span class="table-desc">{% trans "Constantes et valeurs par défaut" %}</span>
</h4>
<div class="info-row">
<div class="info-card card-accent-blue">
<div class="card-icon"><i class="fas fa-camera-retro"></i></div>
<div class="card-body">
<h4>{% trans "Caméra" %}</h4>
<ul class="doc-list">
<li>
<i class="fas fa-plug"></i>
{% trans "Capture" %} :
<div class="tag-list inline">
<span class="tag tag-blue">Arducam</span>
<span class="tag tag-gray">Webcam</span>
<span class="tag tag-gray">{% trans "Fichier vidéo" %}</span>
</div>
</li>
<li><i class="fas fa-film"></i> {% trans "Fréquence vidéos (fps)" %}</li>
<li><i class="fas fa-arrows-alt-h"></i> {% trans "Largeur de capture vidéo" %}</li>
<li><i class="fas fa-arrows-alt-v"></i> {% trans "Hauteur de capture vidéo" %}</li>
</ul>
</div>
</div>
<div class="info-card card-accent-blue">
<div class="card-icon"><i class="fas fa-crosshairs"></i></div>
<div class="card-body">
<h4>{% trans "Suivi / Tracking" %}</h4>
<ul class="doc-list">
<li><i class="fas fa-cog"></i> {% trans "Valeurs par défaut du tracking" %}</li>
</ul>
</div>
</div>
</div>
</div>
<!-- Puits -->
<div class="sub-subsection" id="section-wells">
<h4 class="table-title">
<i class="fas fa-circle"></i>
<code>scanner_well</code>
<span class="table-desc">{% trans "Noms des puits" %}</span>
</h4>
<div class="info-row">
<div class="info-card card-accent-teal full-width">
<div class="card-icon"><i class="fas fa-th-large"></i></div>
<div class="card-body">
<p>{% trans "Contient uniquement les noms des puits disponibles." %}</p>
<p class="hint"><i class="fas fa-exchange-alt"></i> {% trans "Lecture en serpentin dans le sens des ±X" %}</p>
<!-- Grille serpentin : D1→D6 / C6←C1 / B1→B6 / A6←A1 -->
<div class="well-grid well-grid--serpentine">
{# Ligne D : gauche → droite (D1..D6) #}
<span class="well-chip wc-d">D1</span><span class="well-chip wc-d">D2</span>
<span class="well-chip wc-d">D3</span><span class="well-chip wc-d">D4</span>
<span class="well-chip wc-d">D5</span><span class="well-chip wc-d">D6</span>
{# Ligne C : droite → gauche (C6..C1) #}
<span class="well-chip wc-c">C6</span><span class="well-chip wc-c">C5</span>
<span class="well-chip wc-c">C4</span><span class="well-chip wc-c">C3</span>
<span class="well-chip wc-c">C2</span><span class="well-chip wc-c">C1</span>
{# Ligne B : gauche → droite (B1..B6) #}
<span class="well-chip wc-b">B1</span><span class="well-chip wc-b">B2</span>
<span class="well-chip wc-b">B3</span><span class="well-chip wc-b">B4</span>
<span class="well-chip wc-b">B5</span><span class="well-chip wc-b">B6</span>
{# Ligne A : droite → gauche (A6..A1) #}
<span class="well-chip wc-a">A6</span><span class="well-chip wc-a">A5</span>
<span class="well-chip wc-a">A4</span><span class="well-chip wc-a">A3</span>
<span class="well-chip wc-a">A2</span><span class="well-chip wc-a">A1</span>
</div>
</div>
</div>
</div>
</div>
<!-- Multi-puits -->
<div class="sub-subsection" id="section-multiwell">
<h4 class="table-title">
<i class="fas fa-th"></i>
<code>scanner_multiwell</code>
<span class="table-desc">{% trans "Géométrie et déplacements" %}</span>
</h4>
<div class="info-row">
<div class="info-card card-accent-indigo">
<div class="card-icon"><i class="fas fa-map"></i></div>
<div class="card-body">
<h4>{% trans "Position sur la table" %}</h4>
<div class="position-grid">
<div class="pos-cell active">HG<br><small>{% trans "Haut gauche" %}</small></div>
<div class="pos-cell active">HD<br><small>{% trans "Haut droit" %}</small></div>
<div class="pos-cell active">BG<br><small>{% trans "Bas gauche" %}</small></div>
<div class="pos-cell active">BD<br><small>{% trans "Bas droit" %}</small></div>
</div>
<p class="hint"><i class="fas fa-info-circle"></i> {% trans "4 positions disponibles sur la table" %}</p>
<p class="hint"><i class="fas fa-info-circle"></i> {% trans "(0, 0) de le CNC est en HD" %}</p>
<p class="hint"><i class="fas fa-info-circle"></i> {% trans "HD --> HG +X" %}</p>
<p class="hint"><i class="fas fa-info-circle"></i> {% trans "HD --> BD +Y" %}</p>
</div>
</div>
<div class="info-card card-accent-indigo">
<div class="card-icon"><i class="fas fa-ruler-combined"></i></div>
<div class="card-body">
<h4>{% trans "Géométrie" %}</h4>
<ul class="doc-list">
<li><i class="fas fa-grip-lines"></i> {% trans "Nombre de lignes" %}</li>
<li><i class="fas fa-grip-lines-vertical"></i> {% trans "Nombre de colonnes" %}</li>
<li><i class="fas fa-circle"></i> {% trans "Diamètre des puits" %}</li>
<li><i class="fas fa-font"></i> {% trans "Définition des lignes (A, B, C, D)" %}</li>
<li><i class="fas fa-exchange-alt"></i> {% trans "Lecture en serpentin ±X (D→C→B→A)" %}</li>
</ul>
</div>
</div>
<div class="info-card card-accent-indigo">
<div class="card-icon"><i class="fas fa-route"></i></div>
<div class="card-body">
<h4>{% trans "Déplacements" %}</h4>
<ul class="doc-list">
<li><i class="fas fa-sort-numeric-down"></i> {% trans "Ordre de lecture" %}</li>
<li><i class="fas fa-stopwatch"></i> {% trans "Durée de capture (calibration)" %}</li>
<li>
<i class="fas fa-location-arrow"></i>
{% trans "Origine X" %}
<span class="badge-auto">{% trans "Calibration" %}</span>
</li>
<li>
<i class="fas fa-location-arrow fa-rotate-90"></i>
{% trans "Origine Y" %}
<span class="badge-auto">{% trans "Calibration" %}</span>
</li>
<li><i class="fas fa-arrows-alt-h"></i> {% trans "Pas X mesuré" %}</li>
<li><i class="fas fa-arrows-alt-v"></i> {% trans "Pas Y mesuré" %}</li>
<li><i class="fas fa-tachometer-alt"></i> {% trans "Vitesse (mm/mn)" %}</li>
</ul>
</div>
</div>
</div>
<div class="info-row">
<div class="info-card card-accent-yellow full-width">
<div class="card-icon"><i class="fas fa-exclamation-triangle"></i></div>
<div class="card-body">
<h4>{% trans "Positions générées" %}</h4>
<p>{% trans "Si les positions ne sont pas encore générées, le système efface" %} <code>WellPosition</code> {% trans "et recalcule toutes les positions des puits." %}</p>
</div>
</div>
</div>
</div>
<!-- Position des puits -->
<div class="sub-subsection" id="section-wellpos">
<h4 class="table-title">
<i class="fas fa-map-marker-alt"></i>
<code>scanner_wellposition</code>
<span class="table-desc">{% trans "Positions calibrées des puits" %}</span>
</h4>
<div class="info-row">
<div class="info-card card-accent-cyan">
<div class="card-icon"><i class="fas fa-drafting-compass"></i></div>
<div class="card-body">
<h4>{% trans "Calibration" %}</h4>
<p>{% trans "Manuelle ou automatique." %}</p>
<ul class="doc-list">
<li><i class="fas fa-arrows-alt-h"></i> {% trans "Axe X (mm)" %} <span class="badge-auto">{% trans "Calibration" %}</span></li>
<li><i class="fas fa-arrows-alt-v"></i> {% trans "Axe Y (mm)" %} <span class="badge-auto">{% trans "Calibration" %}</span></li>
</ul>
</div>
</div>
<div class="info-card card-accent-red">
<div class="card-icon"><i class="fas fa-exclamation-circle"></i></div>
<div class="card-body">
<h4>{% trans "Pixels par mm" %} <span class="badge-important">{% trans "IMPORTANT" %}</span></h4>
<p>{% trans "Facteur de calibration optique calculé en fonction de la taille de l'image." %}</p>
<div class="alert-box">
<i class="fas fa-redo"></i>
{% trans "Recalibrer si la taille de l'image est modifiée !" %}
</div>
</div>
</div>
</div>
</div>
<!-- Expériences -->
<div class="sub-subsection" id="section-experiments">
<h4 class="table-title">
<i class="fas fa-flask"></i>
<code>scanner_experiment</code> &amp; <code>scanner_experimentwell</code>
<span class="table-desc">{% trans "Expériences et puits associés" %}</span>
</h4>
<div class="info-row">
<div class="info-card card-accent-green">
<div class="card-icon"><i class="fas fa-vial"></i></div>
<div class="card-body">
<h4>{% trans "Valeurs importantes" %}</h4>
<ul class="doc-list">
<li><i class="fas fa-link"></i> {% trans "Multi-puits lié" %}</li>
<li><i class="fas fa-clock"></i> {% trans "Durée de capture (secondes)" %}</li>
<li><i class="fas fa-fingerprint"></i> {% trans "Identifiant d'expérience" %}</li>
</ul>
</div>
</div>
<div class="info-card card-accent-green">
<div class="card-icon"><i class="fas fa-magic"></i></div>
<div class="card-body">
<h4>{% trans "Création automatique" %}</h4>
<p>{% trans "À la création d'une expérience, les puits liés sont automatiquement créés dans" %} <code>scanner_experimentwell</code>.</p>
</div>
</div>
</div>
</div>
<!-- Sessions -->
<div class="sub-subsection" id="section-sessions">
<h4 class="table-title">
<i class="fas fa-play-circle"></i>
<code>scanner_session</code> &amp; <code>scanner_sessionexperiment</code>
<span class="table-desc">{% trans "Sessions d'expériences" %}</span>
</h4>
<div class="info-row">
<div class="info-card card-accent-blue">
<div class="card-icon"><i class="fas fa-layer-group"></i></div>
<div class="card-body">
<h4>{% trans "Regroupement" %}</h4>
<p>{% trans "Regroupe les expériences lors d'un balayage dans" %} <code>scanner_sessionexperiment</code>.</p>
<div class="tag-list">
<span class="tag tag-blue">{% trans "4 multi-puits maximum" %}</span>
</div>
</div>
</div>
<div class="info-card card-accent-blue">
<div class="card-icon"><i class="fas fa-tasks"></i></div>
<div class="card-body">
<h4>{% trans "2 tâches Celery créées" %}</h4>
<ul class="doc-list">
<li>
<i class="fas fa-play text-green"></i>
<code>scanning_session</code>
<p class="task-desc">{% trans "Lancement différé d'un balayage de session." %}</p>
</li>
<li>
<i class="fas fa-file-export text-cyan"></i>
<code>export_session</code>
<p class="task-desc">
{% trans "Export images et vidéos :" %}
<span class="tag tag-gray">{% trans "Local" %}</span>
<span class="tag tag-gray">{% trans "Support distant" %}</span>
</p>
</li>
</ul>
</div>
</div>
</div>
</div>
<!-- Celery Beat -->
<div class="sub-subsection" id="section-celery">
<h4 class="table-title">
<i class="fas fa-tasks"></i>
<code>django_celery_beat_periodictask</code>
<span class="table-desc">{% trans "Gestion des tâches différées" %}</span>
</h4>
<div class="info-row">
<div class="info-card card-accent-orange full-width">
<div class="card-icon"><i class="fas fa-clock"></i></div>
<div class="card-body">
<p>{% trans "Gère le déclenchement et la planification des tâches Celery différées." %}</p>
<div class="tag-list">
<span class="tag tag-orange">Celery Beat</span>
<span class="tag tag-gray">{% trans "Tâches périodiques" %}</span>
</div>
</div>
</div>
</div>
</div>
</div><!-- end section-scanner -->
</section><!-- end section-mariadb -->
</main><!-- end doc-content -->
</div><!-- end doc-wrapper -->
{% endblock %}
{% block js_footer %}
{{ block.super }}
<script>
/* Mise en évidence du lien actif dans la navigation latérale */
(function () {
const links = document.querySelectorAll('.nav-link');
const sections = document.querySelectorAll('.doc-section, .subsection, .sub-subsection');
/* Observer d'intersection pour la navigation active */
const observer = new IntersectionObserver(
(entries) => {
entries.forEach(entry => {
if (entry.isIntersecting) {
links.forEach(l => l.classList.remove('active'));
const target = document.querySelector(`.nav-link[href="#${entry.target.id}"]`);
if (target) target.classList.add('active');
}
});
},
{ rootMargin: '-10% 0px -80% 0px' }
);
sections.forEach(s => { if (s.id) observer.observe(s); });
})();
</script>
{% endblock %}
@@ -0,0 +1,541 @@
{% extends 'scanner/base.html' %}
{% load i18n %}
{% block columns %}{% endblock %}
{% block styles %}
{{ block.super }}
<link rel="stylesheet" href="/static/css/doc_database.css">
<link rel="stylesheet" href="/static/css/doc_calibration.css>
<link rel="stylesheet" href="/static/css/doc_experiments.css">
{% endblock %}
{% block content %}
<div class="doc-wrapper">
<!-- ─── En-tête ─── -->
<header class="doc-header">
<div class="doc-header-inner">
<div class="doc-header-icon" style="background: linear-gradient(135deg, var(--accent-green), var(--accent-teal));">
<i class="fas fa-flask"></i>
</div>
<div>
<h1 class="doc-title">{% trans "Démarrer des expériences" %}</h1>
<p class="doc-subtitle">{% trans "Sessions, expériences, configurations et import CSV — interface Administration Django" %}</p>
</div>
</div>
</header>
<!-- ─── Navigation latérale ─── -->
<nav class="doc-sidenav" id="sidenav">
<p class="nav-section-label">{% trans "Navigation" %}</p>
<a href="#section-intro" class="nav-link active"><i class="fas fa-info-circle"></i> {% trans "Présentation" %}</a>
<a href="#section-workflow" class="nav-link"> <i class="fas fa-random"></i> {% trans "Ordre de création" %}</a>
<a href="#section-session" class="nav-link"> <i class="fas fa-play-circle"></i> {% trans "Session" %}</a>
<a href="#section-session-data" class="nav-link nav-sub"><i class="fas fa-table"></i> {% trans "Données" %}</a>
<a href="#section-session-tasks" class="nav-link nav-sub"><i class="fas fa-clock"></i> {% trans "Tâches périodiques" %}</a>
<a href="#section-experiment" class="nav-link"> <i class="fas fa-vial"></i> {% trans "Expérience" %}</a>
<a href="#section-exp-data" class="nav-link nav-sub"><i class="fas fa-table"></i> {% trans "Données" %}</a>
<a href="#section-exp-create" class="nav-link nav-sub"><i class="fas fa-magic"></i> {% trans "Création automatique" %}</a>
<a href="#section-metrics" class="nav-link nav-sub"><i class="fas fa-chart-line"></i> {% trans "Métriques" %}</a>
<a href="#section-config" class="nav-link"> <i class="fas fa-cog"></i> {% trans "Configuration puits" %}</a>
<a href="#section-csv" class="nav-link"> <i class="fas fa-file-csv"></i> {% trans "Import CSV" %}</a>
</nav>
<!-- ─── Contenu principal ─── -->
<main class="doc-content">
<!-- ============================================================ -->
<!-- SECTION 1 : Présentation -->
<!-- ============================================================ -->
<section class="doc-section" id="section-intro">
<div class="section-header">
<span class="section-badge badge-green">{% trans "Administration Django" %}</span>
<h2><i class="fas fa-flask"></i> {% trans "Démarrer des expériences" %}</h2>
<p class="section-desc">
{% trans "C'est l'interface Administration Django qui est chargée de créer les données." %}
</p>
</div>
<div class="info-row">
<div class="info-card card-accent-green full-width">
<div class="card-icon"><i class="fas fa-th-large"></i></div>
<div class="card-body">
<h4>{% trans "Principe général" %}</h4>
<ul class="doc-list">
<li>
<i class="fas fa-link text-green"></i>
{% trans "Une expérience est toujours affectée à un multi-puits." %}
</li>
<li>
<i class="fas fa-th text-green"></i>
{% trans "Il y a 4 emplacements multi-puits, donc" %}
<strong>{% trans "4 expériences maximum par session." %}</strong>
</li>
</ul>
</div>
</div>
</div>
</section>
<!-- ============================================================ -->
<!-- SECTION 2 : Ordre de création -->
<!-- ============================================================ -->
<section class="doc-section" id="section-workflow">
<div class="section-header">
<span class="section-badge badge-blue">{% trans "Workflow" %}</span>
<h2><i class="fas fa-random"></i> {% trans "Ordre de création" %}</h2>
<p class="section-desc">{% trans "Les deux approches sont équivalentes — au choix." %}</p>
</div>
<div class="info-row">
<!-- Option A -->
<div class="info-card card-accent-indigo">
<div class="card-icon"><i class="fas fa-list-ol"></i></div>
<div class="card-body">
<h4><i class="fas fa-play-circle text-indigo"></i> {% trans "Option A — Session en premier" %}</h4>
<ol class="doc-steps">
<li><i class="fas fa-plus-circle"></i> {% trans "Créer la session" %}</li>
<li><i class="fas fa-vial"></i> {% trans "Créer les expériences (4 maxi)" %}</li>
<li><i class="fas fa-link"></i> {% trans "Revenir sur la session et ajouter les expériences" %}</li>
</ol>
</div>
</div>
<!-- Option B -->
<div class="info-card card-accent-blue">
<div class="card-icon"><i class="fas fa-list-ol"></i></div>
<div class="card-body">
<h4><i class="fas fa-vial text-blue"></i> {% trans "Option B — Expériences en premier" %}</h4>
<ol class="doc-steps">
<li><i class="fas fa-vial"></i> {% trans "Créer les expériences" %}</li>
<li><i class="fas fa-plus-circle"></i> {% trans "Créer la session" %}</li>
<li><i class="fas fa-link"></i> {% trans "Ajouter les expériences à la session" %}</li>
</ol>
</div>
</div>
</div>
</section>
<!-- ============================================================ -->
<!-- SECTION 3 : Session -->
<!-- ============================================================ -->
<section class="doc-section" id="section-session">
<div class="section-header">
<span class="section-badge badge-purple">scanner_session</span>
<h2><i class="fas fa-play-circle"></i> {% trans "Session" %}</h2>
</div>
<!-- Données importantes -->
<div class="sub-subsection" id="section-session-data">
<h4 class="table-title">
<i class="fas fa-table"></i> {% trans "Données importantes" %}
</h4>
<div class="info-row">
<div class="info-card card-accent-purple">
<div class="card-icon"><i class="fas fa-id-card"></i></div>
<div class="card-body">
<h4>{% trans "Identification" %}</h4>
<ul class="doc-list">
<li><i class="fas fa-heading text-purple"></i> {% trans "Titre" %}</li>
<li><i class="fas fa-user text-purple"></i> {% trans "Auteur" %}</li>
</ul>
</div>
</div>
<!-- Expériences de la session -->
<div class="info-card card-accent-indigo">
<div class="card-icon"><i class="fas fa-layer-group"></i></div>
<div class="card-body">
<h4>{% trans "Expériences d'une session" %}</h4>
<p>{% trans "Ajouter les expériences à la suite dans l'inline" %} <code>scanner_sessionexperiment</code>.</p>
<div class="tag-list">
<span class="tag tag-blue">{% trans "4 maximum" %}</span>
</div>
</div>
</div>
</div>
</div>
<!-- Tâches périodiques -->
<div class="sub-subsection" id="section-session-tasks">
<h4 class="table-title">
<i class="fas fa-clock"></i> {% trans "Options tâches périodiques" %}
</h4>
<div class="info-row">
<div class="info-card card-accent-orange">
<div class="card-icon"><i class="fas fa-file-export"></i></div>
<div class="card-body">
<h4>{% trans "Date d'exportation" %}</h4>
<p>{% trans "Crée une tâche différée pour exporter automatiquement les images et vidéos à la date choisie." %}</p>
<div class="tag-list">
<span class="tag tag-orange">export_session</span>
</div>
</div>
</div>
<div class="info-card card-accent-teal">
<div class="card-icon"><i class="fas fa-calendar-alt"></i></div>
<div class="card-body">
<h4>{% trans "Date du balayage" %}</h4>
<p>{% trans "Planifie le déclenchement du balayage de la session à une date ultérieure." %}</p>
<div class="tag-list">
<span class="tag tag-teal">scanning_session</span>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- ============================================================ -->
<!-- SECTION 4 : Expérience -->
<!-- ============================================================ -->
<section class="doc-section" id="section-experiment">
<div class="section-header">
<span class="section-badge badge-green">scanner_experiment</span>
<h2><i class="fas fa-vial"></i> {% trans "Expérience" %}</h2>
</div>
<!-- Données -->
<div class="sub-subsection" id="section-exp-data">
<h4 class="table-title"><i class="fas fa-table"></i> {% trans "Données" %}</h4>
<div class="info-row">
<div class="info-card card-accent-green">
<div class="card-icon"><i class="fas fa-id-card"></i></div>
<div class="card-body">
<h4>{% trans "Identification" %}</h4>
<ul class="doc-list">
<li><i class="fas fa-heading text-green"></i> {% trans "Titre" %}</li>
<li><i class="fas fa-user text-green"></i> {% trans "Auteur" %}</li>
<li><i class="fas fa-comment-alt text-green"></i> {% trans "Commentaires" %}</li>
</ul>
</div>
</div>
<div class="info-card card-accent-red">
<div class="card-icon"><i class="fas fa-exclamation-circle"></i></div>
<div class="card-body">
<h4>{% trans "Paramètres critiques" %} <span class="badge-important">{% trans "IMPORTANT" %}</span></h4>
<ul class="doc-list">
<li>
<i class="fas fa-th text-red"></i>
{% trans "Choix du multi-puits" %}
</li>
<li>
<i class="fas fa-stopwatch text-red"></i>
{% trans "Durée de la prise de vue (secondes)" %}
</li>
</ul>
</div>
</div>
</div>
</div>
<!-- Création automatique -->
<div class="sub-subsection" id="section-exp-create">
<h4 class="table-title">
<i class="fas fa-magic"></i> {% trans "Fonctionnement à la création" %}
</h4>
<div class="info-row">
<!-- experimentwell -->
<div class="info-card card-accent-blue">
<div class="card-icon"><i class="fas fa-circle-notch"></i></div>
<div class="card-body">
<h4>{% trans "Création/MAJ" %} <code>scanner.experimentwell</code></h4>
<ul class="doc-list">
<li>
<i class="fas fa-plus text-blue"></i>
{% trans "Création de chaque puit individuel." %}
</li>
<li>
<i class="fas fa-check-circle text-green"></i>
{% trans "Par défaut, tous les puits sont actifs." %}
</li>
</ul>
<div class="alert-box alert-info">
<i class="fas fa-info-circle"></i>
{% trans "Il est possible d'ignorer le balayage d'un ou plusieurs puits au choix." %}
</div>
</div>
</div>
<!-- experimentconfig -->
<div class="info-card card-accent-cyan">
<div class="card-icon"><i class="fas fa-sliders-h"></i></div>
<div class="card-body">
<h4>{% trans "Création/MAJ" %} <code>planarian.experimentconfig</code></h4>
<p>{% trans "Paramètres d'une expérience PlanarianScanner." %}</p>
<ul class="doc-list">
<li>
<i class="fas fa-user-cog text-cyan"></i>
{% trans "Créé depuis Django admin" %}
</li>
<li>
<i class="fas fa-file-csv text-cyan"></i>
{% trans "Ou import CSV depuis l'admin" %}
</li>
<li>
<i class="fas fa-pencil-alt text-muted"></i>
<em>{% trans "Données descriptives supplémentaires (à définir)" %}</em>
</li>
</ul>
</div>
</div>
</div>
</div>
<!-- Métriques -->
<div class="sub-subsection" id="section-metrics">
<h4 class="table-title">
<i class="fas fa-chart-line"></i>
{% trans "Intégration métriques EthoVision XT + comportementales" %}
</h4>
<!-- Métriques par frame -->
<h5 class="metrics-group-title">
<i class="fas fa-film"></i> {% trans "Métriques par frame" %}
</h5>
<div class="info-row">
<div class="info-card card-accent-blue metrics-card">
<div class="card-icon"><i class="fas fa-running"></i></div>
<div class="card-body">
<h4>{% trans "Mobilité" %}</h4>
<div class="metric-tags">
<span class="tag tag-blue">velocity</span>
<span class="tag tag-blue">distance</span>
<span class="tag tag-blue">moving</span>
<span class="tag tag-blue">mobility_state</span>
</div>
</div>
</div>
<div class="info-card card-accent-orange metrics-card">
<div class="card-icon"><i class="fas fa-border-style"></i></div>
<div class="card-body">
<h4>{% trans "Thigmotaxie" %}</h4>
<div class="metric-tags">
<span class="tag tag-orange">dist_to_wall_mm</span>
<span class="tag tag-orange">near_wall</span>
</div>
</div>
</div>
<div class="info-card card-accent-yellow metrics-card">
<div class="card-icon"><i class="fas fa-sun"></i></div>
<div class="card-body">
<h4>{% trans "Phototaxie" %}</h4>
<div class="metric-tags">
<span class="tag tag-yellow">dist_to_light_mm</span>
<span class="tag tag-yellow">heading_to_light_deg</span>
<span class="tag tag-yellow">fleeing_light</span>
</div>
</div>
</div>
</div>
<div class="info-row">
<div class="info-card card-accent-green metrics-card">
<div class="card-icon"><i class="fas fa-utensils"></i></div>
<div class="card-body">
<h4>{% trans "Chimiotaxie" %}</h4>
<div class="metric-tags">
<span class="tag tag-green">dist_to_food_mm</span>
<span class="tag tag-green">heading_to_food_deg</span>
<span class="tag tag-green">approaching_food</span>
<span class="tag tag-green">in_food_zone</span>
</div>
</div>
</div>
<div class="info-card card-accent-purple metrics-card">
<div class="card-icon"><i class="fas fa-users"></i></div>
<div class="card-body">
<h4>{% trans "Social" %}</h4>
<div class="metric-tags">
<span class="tag tag-purple">nearest_neighbour_mm</span>
<span class="tag tag-purple">in_avoid_zone</span>
<span class="tag tag-purple">in_aggreg_zone</span>
<span class="tag tag-purple">chem_repulsion_level</span>
</div>
</div>
</div>
</div>
<!-- Métriques résumé -->
<h5 class="metrics-group-title" style="margin-top:20px;">
<i class="fas fa-clipboard-list"></i> {% trans "Métriques résumé (summary)" %}
</h5>
<div class="info-row">
<div class="info-card card-accent-blue metrics-card">
<div class="card-icon"><i class="fas fa-running"></i></div>
<div class="card-body">
<h4>{% trans "Mobilité" %}</h4>
<div class="metric-tags">
<span class="tag tag-blue">movedCenter_pointTotal_mm</span>
<span class="tag tag-blue">velocity_mean_mm_s</span>
<span class="tag tag-blue">{% trans "durations par état" %}</span>
</div>
</div>
</div>
<div class="info-card card-accent-orange metrics-card">
<div class="card-icon"><i class="fas fa-border-style"></i></div>
<div class="card-body">
<h4>{% trans "Thigmotaxie" %}</h4>
<div class="metric-tags">
<span class="tag tag-orange">thigmotaxis_pct_time_near_wall</span>
</div>
</div>
</div>
<div class="info-card card-accent-yellow metrics-card">
<div class="card-icon"><i class="fas fa-sun"></i></div>
<div class="card-body">
<h4>{% trans "Phototaxie" %}</h4>
<div class="metric-tags">
<span class="tag tag-yellow">photo_pct_time_fleeing</span>
<span class="tag tag-yellow">photo_mean_dist_mm</span>
<span class="tag tag-yellow">photo_latency_s</span>
</div>
</div>
</div>
</div>
<div class="info-row">
<div class="info-card card-accent-green metrics-card">
<div class="card-icon"><i class="fas fa-utensils"></i></div>
<div class="card-body">
<h4>{% trans "Chimiotaxie" %}</h4>
<div class="metric-tags">
<span class="tag tag-green">chemo_pct_time_approaching</span>
<span class="tag tag-green">chemo_pct_time_in_zone</span>
<span class="tag tag-green">chemo_latency_s</span>
<span class="tag tag-green">chemo_mean_dist_mm</span>
</div>
</div>
</div>
<div class="info-card card-accent-purple metrics-card">
<div class="card-icon"><i class="fas fa-users"></i></div>
<div class="card-body">
<h4>{% trans "Social" %}</h4>
<div class="metric-tags">
<span class="tag tag-purple">social_pct_time_avoiding</span>
<span class="tag tag-purple">social_pct_time_aggregating</span>
<span class="tag tag-purple">social_mean_nn_mm</span>
<span class="tag tag-purple">social_contact_events</span>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- ============================================================ -->
<!-- SECTION 5 : Configuration des puits -->
<!-- ============================================================ -->
<section class="doc-section" id="section-config">
<div class="section-header">
<span class="section-badge badge-teal">{% trans "Interface Scanner" %}</span>
<h2><i class="fas fa-cog"></i> {% trans "Configuration des expériences" %}</h2>
<p class="section-desc">{% trans "Sélectionner l'expérience et le puit à modifier pour compléter la fiche." %}</p>
</div>
<div class="info-row">
<div class="info-card card-accent-teal full-width">
<div class="card-icon"><i class="fas fa-edit"></i></div>
<div class="card-body">
<h4>{% trans "Procédure" %}</h4>
<ol class="doc-steps">
<li><i class="fas fa-mouse-pointer"></i> {% trans "Sélectionner l'expérience dans la liste" %}</li>
<li><i class="fas fa-circle"></i> {% trans "Sélectionner le puit à modifier" %}</li>
<li><i class="fas fa-pen"></i> {% trans "Compléter la fiche de configuration" %}</li>
</ol>
</div>
</div>
</div>
</section>
<!-- ============================================================ -->
<!-- SECTION 6 : Import CSV -->
<!-- ============================================================ -->
<section class="doc-section" id="section-csv">
<div class="section-header">
<span class="section-badge badge-orange">{% trans "Import" %}</span>
<h2><i class="fas fa-file-csv"></i> {% trans "Importer des configurations depuis CSV" %}</h2>
</div>
<div class="info-row">
<!-- Menu gauche -->
<div class="info-card card-accent-indigo">
<div class="card-icon"><i class="fas fa-bars"></i></div>
<div class="card-body">
<h4>{% trans "Menu gauche" %}</h4>
<ol class="doc-steps">
<li><i class="fas fa-play-circle"></i> {% trans "Sélectionner la session" %}</li>
<li><i class="fas fa-check-square"></i> {% trans "Cocher l'expérience souhaitée" %}</li>
</ol>
</div>
</div>
<!-- Zone de dépôt -->
<div class="info-card card-accent-blue">
<div class="card-icon"><i class="fas fa-cloud-upload-alt"></i></div>
<div class="card-body">
<h4>{% trans "Zone d'import" %}</h4>
<ol class="doc-steps">
<li><i class="fas fa-file-csv"></i> {% trans "Glisser-déposer le fichier CSV" %}</li>
<li><i class="fas fa-upload"></i> {% trans "Cliquer sur Importer" %}</li>
</ol>
</div>
</div>
</div>
<!-- Astuce CSV -->
<div class="info-row">
<div class="info-card card-accent-yellow full-width">
<div class="card-icon"><i class="fas fa-lightbulb"></i></div>
<div class="card-body">
<h4>{% trans "Astuce — Générer le template CSV depuis Django admin" %}</h4>
<ol class="doc-steps">
<li>
<i class="fas fa-th-list"></i>
{% trans "Aller dans" %}
<strong>{% trans "Planarian Configurations des expériences" %}</strong>
</li>
<li>
<i class="fas fa-check-square"></i>
{% trans "Cocher le puit de l'expérience ou un groupe d'expériences" %}
</li>
<li>
<i class="fas fa-bolt"></i>
{% trans "Action :" %} <strong>{% trans "Exporter un template CSV…" %}</strong>
</li>
<li>
<i class="fas fa-download"></i>
{% trans "Vérifier l'emplacement du fichier téléchargé (dossier Download)." %}
</li>
</ol>
</div>
</div>
</div>
</section>
</main>
</div>
{% endblock %}
{% block js_footer %}
{{ block.super }}
<script>
/* Mise en évidence du lien actif dans la navigation latérale */
(function () {
const links = document.querySelectorAll('.nav-link');
const sections = document.querySelectorAll('[id^="section-"]');
const observer = new IntersectionObserver(
(entries) => {
entries.forEach(entry => {
if (entry.isIntersecting) {
links.forEach(l => l.classList.remove('active'));
const target = document.querySelector(`.nav-link[href="#${entry.target.id}"]`);
if (target) target.classList.add('active');
}
});
},
{ rootMargin: '-10% 0px -80% 0px' }
);
sections.forEach(s => observer.observe(s));
})();
</script>
{% endblock %}
@@ -0,0 +1,287 @@
{% extends 'scanner/base.html' %}
{% load i18n %}
{% block columns %}{% endblock %}
{% block styles %}
{{ block.super }}
<link rel="stylesheet" href="/static/css/doc_database.css">
<link rel="stylesheet" href="/static/css/doc_calibration.css>
<link rel="stylesheet" href="/static/css/doc_experiments.css">
<link rel="stylesheet" href="/static/css/doc_scanning.css">
<link rel="stylesheet" href="/static/css/doc_results.css">
<link rel="stylesheet" href="/static/css/doc_media.css">
{% endblock %}
{% block content %}
<div class="doc-wrapper">
<!-- ─── En-tête ─── -->
<header class="doc-header">
<div class="doc-header-inner">
<div class="doc-header-icon" style="background: linear-gradient(135deg, var(--accent-purple), var(--accent-blue));">
<i class="fas fa-photo-video"></i>
</div>
<div>
<h1 class="doc-title">{% trans "Gestionnaire de médias" %}</h1>
<p class="doc-subtitle">{% trans "Consultation, rediffusion et export des images et vidéos" %}</p>
</div>
</div>
</header>
<!-- ─── Navigation latérale ─── -->
<nav class="doc-sidenav" id="sidenav">
<p class="nav-section-label">{% trans "Navigation" %}</p>
<a href="#section-grid" class="nav-link active"><i class="fas fa-th"></i> {% trans "Grille d'affichage" %}</a>
<a href="#section-images" class="nav-link"> <i class="fas fa-images"></i> {% trans "Gestionnaire d'images" %}</a>
<a href="#section-img-nav" class="nav-link nav-sub"><i class="fas fa-bars"></i> {% trans "Menu gauche" %}</a>
<a href="#section-img-view"class="nav-link nav-sub"><i class="fas fa-eye"></i> {% trans "Affichage & export" %}</a>
<a href="#section-videos" class="nav-link"> <i class="fas fa-film"></i> {% trans "Rediffusion vidéos" %}</a>
<a href="#section-vid-nav" class="nav-link nav-sub"><i class="fas fa-bars"></i> {% trans "Menu gauche" %}</a>
<a href="#section-vid-view"class="nav-link nav-sub"><i class="fas fa-play-circle"></i> {% trans "Lecteur & export" %}</a>
</nav>
<!-- ─── Contenu principal ─── -->
<main class="doc-content">
<!-- ============================================================ -->
<!-- SECTION 1 : Grille d'affichage -->
<!-- ============================================================ -->
<section class="doc-section" id="section-grid">
<div class="section-header">
<span class="section-badge badge-purple">{% trans "Affichage" %}</span>
<h2><i class="fas fa-th"></i> {% trans "Grille d'affichage" %}</h2>
<p class="section-desc">{% trans "Contrôle situé en haut à gauche de l'interface." %}</p>
</div>
<div class="info-row">
<div class="info-card card-accent-purple full-width">
<div class="card-icon"><i class="fas fa-columns"></i></div>
<div class="card-body">
<h4>{% trans "Nombre de colonnes" %}</h4>
<p>{% trans "Réduire ou augmenter dynamiquement le nombre de colonnes d'affichage des médias." %}</p>
<!-- Visualisation colonnes -->
<div class="grid-preview">
<div class="gp-col"><i class="fas fa-minus"></i></div>
<div class="gp-demo gp-2">
<span></span><span></span>
</div>
<div class="gp-demo gp-3">
<span></span><span></span><span></span>
</div>
<div class="gp-demo gp-4">
<span></span><span></span><span></span><span></span>
</div>
<div class="gp-col"><i class="fas fa-plus"></i></div>
</div>
</div>
</div>
</div>
</section>
<!-- ============================================================ -->
<!-- SECTION 2 : Gestionnaire d'images -->
<!-- ============================================================ -->
<section class="doc-section" id="section-images">
<div class="section-header">
<span class="section-badge badge-blue">{% trans "Images" %}</span>
<h2><i class="fas fa-images"></i> {% trans "Gestionnaire d'images" %}</h2>
</div>
<!-- Menu gauche -->
<div class="sub-subsection" id="section-img-nav">
<h4 class="table-title"><i class="fas fa-bars"></i> {% trans "Menu gauche — Sélection" %}</h4>
<div class="info-row">
<div class="info-card card-accent-indigo full-width">
<div class="card-icon"><i class="fas fa-mouse-pointer"></i></div>
<div class="card-body">
<ol class="doc-steps">
<li><i class="fas fa-play-circle"></i> {% trans "Sélectionner la session" %}</li>
<li><i class="fas fa-check-square"></i> {% trans "Cocher l'expérience" %}</li>
<li><i class="fas fa-circle"></i> {% trans "Choisir le puit" %}</li>
</ol>
</div>
</div>
</div>
</div>
<!-- Affichage & export -->
<div class="sub-subsection" id="section-img-view">
<h4 class="table-title"><i class="fas fa-eye"></i> {% trans "Affichage des images & export" %}</h4>
<div class="info-row">
<!-- Téléchargement unitaire -->
<div class="info-card card-accent-blue">
<div class="card-icon"><i class="fas fa-download"></i></div>
<div class="card-body">
<h4>{% trans "Téléchargement unitaire" %}</h4>
<p>{% trans "Chaque image affichée dispose d'un bouton de téléchargement individuel." %}</p>
</div>
</div>
<!-- Export global images -->
<div class="info-card card-accent-orange">
<div class="card-icon"><i class="fas fa-file-archive"></i></div>
<div class="card-body">
<h4>
{% trans "Exporter l'ensemble des images" %}
<span class="badge-important">{% trans "ATTENTION" %}</span>
</h4>
<ul class="doc-list">
<li>
<i class="fas fa-hourglass-half text-orange"></i>
{% trans "La procédure peut être longue." %}
</li>
<li>
<i class="fas fa-clock text-orange"></i>
{% trans "Préférer l'export différé." %}
</li>
</ul>
<div class="deferred-badge">
<i class="fas fa-calendar-alt"></i>
{% trans "Export différé recommandé" %}
</div>
</div>
</div>
</div>
</div>
</section>
<!-- ============================================================ -->
<!-- SECTION 3 : Rediffusion de vidéos -->
<!-- ============================================================ -->
<section class="doc-section" id="section-videos">
<div class="section-header">
<span class="section-badge badge-teal">{% trans "Vidéos" %}</span>
<h2><i class="fas fa-film"></i> {% trans "Rediffusion de vidéos" %}</h2>
</div>
<!-- Menu gauche -->
<div class="sub-subsection" id="section-vid-nav">
<h4 class="table-title"><i class="fas fa-bars"></i> {% trans "Menu gauche — Sélection" %}</h4>
<div class="info-row">
<div class="info-card card-accent-indigo full-width">
<div class="card-icon"><i class="fas fa-mouse-pointer"></i></div>
<div class="card-body">
<ol class="doc-steps">
<li><i class="fas fa-play-circle"></i> {% trans "Sélectionner la session" %}</li>
<li><i class="fas fa-check-square"></i> {% trans "Cocher l'expérience" %}</li>
<li><i class="fas fa-circle"></i> {% trans "Choisir le puit" %}</li>
</ol>
</div>
</div>
</div>
</div>
<!-- Lecteur & export -->
<div class="sub-subsection" id="section-vid-view">
<h4 class="table-title"><i class="fas fa-play-circle"></i> {% trans "Lecteur vidéo & export" %}</h4>
<div class="info-row">
<!-- Contrôles lecture -->
<div class="info-card card-accent-teal">
<div class="card-icon"><i class="fas fa-gamepad"></i></div>
<div class="card-body">
<h4>{% trans "Contrôles de lecture" %}</h4>
<!-- Boutons transport -->
<div class="player-controls">
<div class="player-btn btn-play">
<i class="fas fa-play"></i>
<span>{% trans "Marche" %}</span>
</div>
<div class="player-btn btn-pause">
<i class="fas fa-pause"></i>
<span>{% trans "Pause" %}</span>
</div>
<div class="player-btn btn-stop">
<i class="fas fa-stop"></i>
<span>{% trans "Arrêt" %}</span>
</div>
</div>
<!-- Sliders -->
<ul class="doc-list" style="margin-top:12px;">
<li>
<i class="fas fa-tachometer-alt text-teal"></i>
{% trans "Slider vitesse de lecture" %}
</li>
<li>
<i class="fas fa-stream text-teal"></i>
{% trans "Slider timeline (position dans la vidéo)" %}
</li>
</ul>
</div>
</div>
<!-- Téléchargements -->
<div class="info-card card-accent-blue">
<div class="card-icon"><i class="fas fa-download"></i></div>
<div class="card-body">
<h4>{% trans "Téléchargements" %}</h4>
<ul class="doc-list">
<li>
<i class="fas fa-image text-blue"></i>
{% trans "Télécharger l'image courante" %}
</li>
<li>
<i class="fas fa-film text-blue"></i>
{% trans "Télécharger la vidéo complète" %}
</li>
</ul>
</div>
</div>
</div>
<!-- Export global vidéos -->
<div class="info-row">
<div class="info-card card-accent-orange full-width">
<div class="card-icon"><i class="fas fa-file-video"></i></div>
<div class="card-body">
<h4>
{% trans "Exporter l'ensemble des vidéos" %}
<span class="badge-important">{% trans "ATTENTION" %}</span>
</h4>
<ul class="doc-list">
<li>
<i class="fas fa-hourglass-half text-orange"></i>
{% trans "La procédure peut être longue." %}
</li>
<li>
<i class="fas fa-clock text-orange"></i>
{% trans "Préférer l'export différé." %}
</li>
</ul>
<div class="deferred-badge">
<i class="fas fa-calendar-alt"></i>
{% trans "Export différé recommandé" %}
</div>
</div>
</div>
</div>
</div>
</section>
</main>
</div>
{% endblock %}
{% block js_footer %}
{{ block.super }}
<script>
/* Mise en évidence du lien actif dans la navigation latérale */
(function () {
const links = document.querySelectorAll('.nav-link');
const sections = document.querySelectorAll('[id^="section-"]');
const observer = new IntersectionObserver(
(entries) => {
entries.forEach(entry => {
if (entry.isIntersecting) {
links.forEach(l => l.classList.remove('active'));
const target = document.querySelector(`.nav-link[href="#${entry.target.id}"]`);
if (target) target.classList.add('active');
}
});
},
{ rootMargin: '-10% 0px -80% 0px' }
);
sections.forEach(s => observer.observe(s));
})();
</script>
{% endblock %}
@@ -0,0 +1,204 @@
{% extends 'scanner/base.html' %}
{% load i18n %}
{% block columns %}{% endblock %}
{% block styles %}
{{ block.super }}
<link rel="stylesheet" href="/static/css/doc_database.css">
<link rel="stylesheet" href="/static/css/doc_calibration.css>
<link rel="stylesheet" href="/static/css/doc_experiments.css">
<link rel="stylesheet" href="/static/css/doc_scanning.css">
<link rel="stylesheet" href="/static/css/doc_results.css">
{% endblock %}
{% block content %}
<div class="doc-wrapper">
<!-- ─── En-tête ─── -->
<header class="doc-header">
<div class="doc-header-inner">
<div class="doc-header-icon" style="background: linear-gradient(135deg, var(--accent-green), var(--accent-blue));">
<i class="fas fa-chart-bar"></i>
</div>
<div>
<h1 class="doc-title">{% trans "Exploiter les résultats" %}</h1>
<p class="doc-subtitle">{% trans "Export CSV des métriques par session, expérience et planaire" %}</p>
</div>
</div>
</header>
<!-- ─── Navigation latérale ─── -->
<nav class="doc-sidenav" id="sidenav">
<p class="nav-section-label">{% trans "Navigation" %}</p>
<a href="#section-intro" class="nav-link active"><i class="fas fa-info-circle"></i> {% trans "Présentation" %}</a>
<a href="#section-left" class="nav-link"> <i class="fas fa-bars"></i> {% trans "Menu gauche" %}</a>
<a href="#section-export" class="nav-link nav-sub"><i class="fas fa-server"></i> {% trans "Export serveur" %}</a>
<a href="#section-right" class="nav-link"> <i class="fas fa-download"></i> {% trans "Partie droite" %}</a>
<a href="#section-generate" class="nav-link nav-sub"><i class="fas fa-file-csv"></i> {% trans "Générer le CSV" %}</a>
</nav>
<!-- ─── Contenu principal ─── -->
<main class="doc-content">
<!-- ============================================================ -->
<!-- SECTION 1 : Présentation -->
<!-- ============================================================ -->
<section class="doc-section" id="section-intro">
<div class="section-header">
<span class="section-badge badge-green">{% trans "Export CSV" %}</span>
<h2><i class="fas fa-chart-bar"></i> {% trans "Exploiter les résultats des expériences" %}</h2>
<p class="section-desc">{% trans "Les métriques de suivi des planaires sont exportables au format CSV depuis l'interface Scanner." %}</p>
</div>
</section>
<!-- ============================================================ -->
<!-- SECTION 2 : Menu gauche -->
<!-- ============================================================ -->
<section class="doc-section" id="section-left">
<div class="section-header">
<span class="section-badge badge-blue">{% trans "Sélection" %}</span>
<h2><i class="fas fa-bars"></i> {% trans "Menu gauche" %}</h2>
</div>
<div class="info-row">
<div class="info-card card-accent-indigo">
<div class="card-icon"><i class="fas fa-mouse-pointer"></i></div>
<div class="card-body">
<h4>{% trans "Sélection" %}</h4>
<ol class="doc-steps">
<li><i class="fas fa-play-circle"></i> {% trans "Sélectionner la session" %}</li>
<li><i class="fas fa-check-square"></i> {% trans "Cocher l'expérience souhaitée" %}</li>
<li><i class="fas fa-file-export"></i> {% trans "Cliquer sur Exporter les métriques de l'expérience" %}</li>
</ol>
</div>
</div>
</div>
<!-- Export serveur -->
<div class="sub-subsection" id="section-export">
<h4 class="table-title">
<i class="fas fa-server"></i> {% trans "Export côté serveur" %}
<span class="badge-important">{% trans "ATTENTION" %}</span>
</h4>
<div class="info-row">
<!-- Durée -->
<div class="info-card card-accent-orange">
<div class="card-icon"><i class="fas fa-hourglass-half"></i></div>
<div class="card-body">
<h4>{% trans "Durée variable" %}</h4>
<div class="alert-box" style="margin-bottom:0;">
<i class="fas fa-exclamation-triangle"></i>
{% trans "La procédure peut être longue selon le nombre de planaires à suivre." %}
</div>
</div>
</div>
<!-- Tâche de fond -->
<div class="info-card card-accent-blue">
<div class="card-icon"><i class="fas fa-cogs"></i></div>
<div class="card-body">
<h4>{% trans "Tâche de fond" %}</h4>
<p>{% trans "Le service est exécuté en arrière-plan (Celery)." %}</p>
<div class="tag-list">
<span class="tag tag-blue">export_session</span>
</div>
</div>
</div>
</div>
<!-- Emplacement fichiers -->
<div class="info-row">
<div class="info-card card-accent-teal full-width">
<div class="card-icon"><i class="fas fa-folder-open"></i></div>
<div class="card-body">
<h4>{% trans "Emplacement des fichiers sur le serveur" %}</h4>
<div class="path-block">
<i class="fas fa-hdd"></i>
<code>/home/rpi4/export/csv/*.csv</code>
</div>
</div>
</div>
</div>
</div>
</section>
<!-- ============================================================ -->
<!-- SECTION 3 : Partie droite — téléchargement client -->
<!-- ============================================================ -->
<section class="doc-section" id="section-right">
<div class="section-header">
<span class="section-badge badge-green">{% trans "Téléchargement" %}</span>
<h2><i class="fas fa-download"></i> {% trans "Partie droite — Téléchargement client" %}</h2>
</div>
<div class="sub-subsection" id="section-generate">
<div class="info-row">
<!-- Sélections -->
<div class="info-card card-accent-indigo">
<div class="card-icon"><i class="fas fa-sliders-h"></i></div>
<div class="card-body">
<h4>{% trans "Paramètres" %}</h4>
<ul class="doc-list">
<li>
<i class="fas fa-circle text-teal"></i>
{% trans "Choisir le puit" %}
</li>
<li>
<i class="fas fa-hashtag text-indigo"></i>
{% trans "Choisir l'index du planaire" %}
<p class="task-desc">
<i class="fas fa-info-circle"></i>
{% trans "Le nombre de planaires est défini dans" %}
<em>{% trans "Paramètres d'une expérience" %}</em>.
</p>
</li>
</ul>
</div>
</div>
<!-- Bouton Générer -->
<div class="info-card card-accent-green">
<div class="card-icon"><i class="fas fa-file-download"></i></div>
<div class="card-body">
<h4>{% trans "Bouton Générer" %}</h4>
<p>{% trans "Télécharge le fichier CSV directement sur le poste client." %}</p>
<div class="alert-box alert-info">
<i class="fas fa-hourglass-half"></i>
{% trans "La procédure peut être longue." %}
</div>
</div>
</div>
</div>
</div>
</section>
</main>
</div>
{% endblock %}
{% block js_footer %}
{{ block.super }}
<script>
/* Mise en évidence du lien actif dans la navigation latérale */
(function () {
const links = document.querySelectorAll('.nav-link');
const sections = document.querySelectorAll('[id^="section-"]');
const observer = new IntersectionObserver(
(entries) => {
entries.forEach(entry => {
if (entry.isIntersecting) {
links.forEach(l => l.classList.remove('active'));
const target = document.querySelector(`.nav-link[href="#${entry.target.id}"]`);
if (target) target.classList.add('active');
}
});
},
{ rootMargin: '-10% 0px -80% 0px' }
);
sections.forEach(s => observer.observe(s));
})();
</script>
{% endblock %}
@@ -0,0 +1,266 @@
{% extends 'scanner/base.html' %}
{% load i18n %}
{% block columns %}{% endblock %}
{% block styles %}
{{ block.super }}
<link rel="stylesheet" href="/static/css/doc_database.css">
<link rel="stylesheet" href="/static/css/doc_calibration.css>
<link rel="stylesheet" href="/static/css/doc_experiments.css">
<link rel="stylesheet" href="/static/css/doc_scanning.css">
{% endblock %}
{% block content %}
<div class="doc-wrapper">
<!-- ─── En-tête ─── -->
<header class="doc-header">
<div class="doc-header-inner">
<div class="doc-header-icon" style="background: linear-gradient(135deg, var(--accent-indigo), var(--accent-purple));">
<i class="fas fa-route"></i>
</div>
<div>
<h1 class="doc-title">{% trans "Balayage des puits" %}</h1>
<p class="doc-subtitle">{% trans "Lancement, suivi et procédure en cas d'arrêt" %}</p>
</div>
</div>
</header>
<!-- ─── Navigation latérale ─── -->
<nav class="doc-sidenav" id="sidenav">
<p class="nav-section-label">{% trans "Navigation" %}</p>
<a href="#section-intro" class="nav-link active"><i class="fas fa-info-circle"></i> {% trans "Présentation" %}</a>
<a href="#section-cmd" class="nav-link"> <i class="fas fa-gamepad"></i> {% trans "Commandes" %}</a>
<a href="#section-start" class="nav-link nav-sub"><i class="fas fa-play"></i> {% trans "Lancer le balayage" %}</a>
<a href="#section-stop" class="nav-link nav-sub"><i class="fas fa-stop"></i> {% trans "Arrêt" %}</a>
<a href="#section-recover" class="nav-link"> <i class="fas fa-undo-alt"></i> {% trans "Procédure après arrêt" %}</a>
<a href="#section-reduct" class="nav-link nav-sub"><i class="fas fa-database"></i> ReductStore</a>
</nav>
<!-- ─── Contenu principal ─── -->
<main class="doc-content">
<!-- ============================================================ -->
<!-- SECTION 1 : Présentation -->
<!-- ============================================================ -->
<section class="doc-section" id="section-intro">
<div class="section-header">
<span class="section-badge badge-indigo">{% trans "Balayage" %}</span>
<h2><i class="fas fa-route"></i> {% trans "Balayage des puits" %}</h2>
</div>
<div class="info-row">
<div class="info-card card-accent-indigo">
<div class="card-icon"><i class="fas fa-crop-alt"></i></div>
<div class="card-body">
<h4>{% trans "Recadrage forcé" %}</h4>
<p>{% trans "Le balayage force toujours le recadrage de l'image." %}</p>
<p>{% trans "Le balayage est disponible quand la session est marquée ACTIVE" %}</p>
<div class="alert-box alert-info">
<i class="fas fa-info-circle"></i>
{% trans "Les boutons Axes et Recadrer sont affichés à titre indicatif uniquement." %}
</div>
</div>
</div>
</div>
</section>
<!-- ============================================================ -->
<!-- SECTION 2 : Commandes -->
<!-- ============================================================ -->
<section class="doc-section" id="section-cmd">
<div class="section-header">
<span class="section-badge badge-blue">{% trans "Interface" %}</span>
<h2><i class="fas fa-gamepad"></i> {% trans "Commandes importantes" %}</h2>
</div>
<!-- Lancer le balayage -->
<div class="sub-subsection" id="section-start">
<h4 class="table-title">
<i class="fas fa-play"></i> {% trans "Lancer le balayage" %}
</h4>
<div class="info-row">
<div class="info-card card-accent-green full-width">
<div class="card-icon"><i class="fas fa-play-circle"></i></div>
<div class="card-body">
<ul class="doc-list">
<li>
<i class="fas fa-shoe-prints text-green"></i>
{% trans "Suivi pas à pas de tous les puits de la session." %}
</li>
<li>
<i class="fas fa-terminal text-green"></i>
{% trans "Les logs s'affichent en bas de l'écran en temps réel." %}
</li>
</ul>
</div>
</div>
</div>
</div>
<!-- ARRÊT -->
<div class="sub-subsection" id="section-stop">
<h4 class="table-title">
<i class="fas fa-stop"></i> {% trans "ARRÊT" %}
<span class="badge-important">{% trans "ATTENTION" %}</span>
</h4>
<div class="info-row">
<div class="info-card card-accent-green">
<div class="card-icon"><i class="fas fa-images"></i></div>
<div class="card-body">
<h4><i class="fas fa-check-circle text-green"></i> {% trans "Images" %}</h4>
<p>{% trans "Les images capturées jusqu'à l'arrêt seront enregistrées." %}</p>
</div>
</div>
<div class="info-card card-accent-red">
<div class="card-icon"><i class="fas fa-chart-line"></i></div>
<div class="card-body">
<h4><i class="fas fa-times-circle text-red"></i> {% trans "Données" %}</h4>
<p>{% trans "Les données de suivi ne seront pas enregistrées." %}</p>
</div>
</div>
</div>
</div>
</section>
<!-- ============================================================ -->
<!-- SECTION 3 : Procédure après arrêt -->
<!-- ============================================================ -->
<section class="doc-section" id="section-recover">
<div class="section-header">
<span class="section-badge badge-red">{% trans "Récupération" %}</span>
<h2><i class="fas fa-undo-alt"></i> {% trans "Procédure en cas d'arrêt" %}</h2>
</div>
<!-- Étapes Django -->
<div class="info-row">
<div class="info-card card-accent-orange full-width">
<div class="card-icon"><i class="fas fa-redo-alt"></i></div>
<div class="card-body">
<h4>{% trans "Réinitialiser la session" %}</h4>
<ol class="doc-steps">
<li>
<i class="fas fa-trash-alt text-red"></i>
{% trans "Supprimer la session en cours depuis l'administration Django." %}
</li>
<li>
<i class="fas fa-plus-circle text-green"></i>
{% trans "Créer une nouvelle session." %}
</li>
</ol>
</div>
</div>
</div>
<!-- ReductStore — superadmin -->
<div class="sub-subsection" id="section-reduct">
<h4 class="table-title">
<i class="fas fa-database"></i>
{% trans "Nettoyage ReductStore" %}
<span class="badge-superadmin">superadmin</span>
</h4>
<div class="info-row">
<div class="info-card card-accent-red full-width">
<div class="card-icon"><i class="fas fa-exclamation-triangle"></i></div>
<div class="card-body">
<h4>{% trans "Accès ReductStore" %}</h4>
<a href="http://192.168.1.200:8383/ui/dashboard" target="_blank" class="access-link">
192.168.1.200:8383/ui/dashboard <i class="fas fa-external-link-alt"></i>
</a>
</div>
</div>
</div>
<div class="info-row">
<!-- Bucket camera -->
<div class="info-card card-accent-cyan">
<div class="card-icon"><i class="fas fa-images"></i></div>
<div class="card-body">
<h4>
{% trans "Bucket" %} <code>camera</code>
</h4>
<ol class="doc-steps">
<li>
<i class="fas fa-search"></i>
{% trans "Localiser les entrées correspondant aux UUIDs des expériences." %}
</li>
<li>
<i class="fas fa-trash-alt text-red"></i>
{% trans "Supprimer les UUIDs des expériences concernées." %}
</li>
</ol>
</div>
</div>
<!-- Bucket planarian_metrics -->
<div class="info-card card-accent-green">
<div class="card-icon"><i class="fas fa-chart-line"></i></div>
<div class="card-body">
<h4>
{% trans "Bucket" %} <code>planarian_metrics</code>
</h4>
<ol class="doc-steps">
<li>
<i class="fas fa-tag"></i>
{% trans "Repérer les enregistrements dont le label correspond aux UUIDs." %}
</li>
<li>
<i class="fas fa-trash-alt text-red"></i>
{% trans "Supprimer ces enregistrements." %}
</li>
</ol>
<div class="tag-list" style="margin-top:10px;">
<span class="tag tag-gray">label: uuid</span>
</div>
</div>
</div>
</div>
<!-- Résumé visuel uuid -->
<div class="info-row">
<div class="info-card card-accent-yellow full-width">
<div class="card-icon"><i class="fas fa-key"></i></div>
<div class="card-body">
<h4>{% trans "Identifier les UUIDs à supprimer" %}</h4>
<p>{% trans "Les UUIDs des expériences sont visibles dans l'administration Django, dans la session supprimée ou dans les logs affichés pendant le balayage." %}</p>
<div class="uuid-example">
<i class="fas fa-fingerprint"></i>
<code>3-HD-A4</code>
</div>
</div>
</div>
</div>
</div>
</section>
</main>
</div>
{% endblock %}
{% block js_footer %}
{{ block.super }}
<script>
/* Mise en évidence du lien actif dans la navigation latérale */
(function () {
const links = document.querySelectorAll('.nav-link');
const sections = document.querySelectorAll('[id^="section-"]');
const observer = new IntersectionObserver(
(entries) => {
entries.forEach(entry => {
if (entry.isIntersecting) {
links.forEach(l => l.classList.remove('active'));
const target = document.querySelector(`.nav-link[href="#${entry.target.id}"]`);
if (target) target.classList.add('active');
}
});
},
{ rootMargin: '-10% 0px -80% 0px' }
);
sections.forEach(s => observer.observe(s));
})();
</script>
{% endblock %}
@@ -2,12 +2,14 @@
{% if messages %}
<div class="alert">
{% for message in messages %}
<div class="w3-bar {% if message.tags %}{{ message.tags }}{% endif %}" style="width: 100%" >
<div class="w3-panel w3-round
{% if message.tags == 'success' %}w3-green
{% elif message.tags == 'error' %}w3-red
{% elif message.tags == 'warning' %}w3-orange
{% else %}w3-blue{% endif %}" style="width: 100%" >
<div class="w3-bar-item">{{ message }}</div>
<div class="w3-bar-item w3-button w3-right" onclick="this.parentElement.style.display='none'">&times;</div>
</div>
{% endfor %}
</div>
{% endif %}
+1
View File
@@ -38,6 +38,7 @@ urlpatterns += i18n_patterns(
path('', RedirectView.as_view(url='/scanner/calibration/', permanent=True), name='redirect_to_mainboard'),
path('scanner/', include('scanner.urls', namespace='scanner')),
path('planarian/', include('planarian.urls', namespace='planarian')),
)
if settings.DEBUG:
+102
View File
@@ -0,0 +1,102 @@
#!/bin/bash
# Génère 24 vidéos pour simuler le balayage d'un multi-puit de 6x24
# A1..A6, B1..B6, C1..C6, D1..D6
#
MODE="$1"
PATH="./media/simulation"
default_width=1000 # px
default_height=1000 # px
default_diameter=16.0 # mm
#fps duration bg-color arena-color arena-border shadow-color body-color body-dark body-light head-color thresh-immobile thresh-mobile
BASE="15 60 #EBEBEB #FAFAFA #8C8C8C #C8C8C8 #A5A5A5 #373737 #D2D2D2 #828282 0.2 1.5"
#photo-mode photo-strength photo-x photo-y photo-sine-freq photo-radius
PHOTO_0="none 0.50 0.50 0.50 0.10 0.30"
PHOTO_1="fixed 0.50 0.50 0.50 0.10 0.40"
PHOTO_2="sine 0.50 0.50 0.50 0.10 0.50"
PHOTO_3="radial 0.50 0.50 0.50 0.10 0.60"
#chemo-strength chemo-x chemo-y chemo-radius
CHEMO_0="0.0 0.70 0.70 2.0"
CHEMO_1="0.5 0.70 0.70 2.0"
CHEMO_2="1.0 0.70 0.70 2.0"
#avoid-strength avoid-radius aggreg-strength aggreg-radius chem-repulsion chem-decay
AVOID_0="0.0 3.0 0.0 6.0 0.0 0.95"
AVOID_1="0.5 3.0 0.0 6.0 0.5 0.75"
AVOID_2="1.0 3.0 0.0 6.0 1.0 0.65"
#length width
SIZE_0="0.40 0.30"
SIZE_1="0.45 0.35"
SIZE_2="0.50 0.40"
SIZE_3="0.55 0.45"
SIZE_4="0.65 0.45"
SIZE_5="0.7 0.25"
declare -A DEFAULT
declare -A ALL
#=========================== count size seed base thigmotaxis photo chemo avoid
DEFAULT[default_simulation]="4 $SIZE_0 32 $BASE 0.45 $PHOTO_0 $CHEMO_0 $AVOID_1"
#======= count size seed base thigmotaxis photo chemo avoid
ALL[A1]="4 $SIZE_0 32 $BASE 0.45 $PHOTO_0 $CHEMO_0 $AVOID_0"
ALL[A2]="4 $SIZE_1 64 $BASE 0.50 $PHOTO_1 $CHEMO_1 $AVOID_1"
ALL[A3]="4 $SIZE_2 96 $BASE 0.55 $PHOTO_1 $CHEMO_2 $AVOID_2"
ALL[A4]="4 $SIZE_3 128 $BASE 0.60 $PHOTO_2 $CHEMO_0 $AVOID_1"
ALL[A5]="4 $SIZE_4 192 $BASE 0.65 $PHOTO_2 $CHEMO_1 $AVOID_0"
ALL[A6]="4 $SIZE_5 240 $BASE 0.75 $PHOTO_3 $CHEMO_2 $AVOID_2"
ALL[B1]="4 $SIZE_0 32 $BASE 0.45 $PHOTO_3 $CHEMO_0 $AVOID_0"
ALL[B2]="4 $SIZE_1 64 $BASE 0.50 $PHOTO_0 $CHEMO_1 $AVOID_1"
ALL[B3]="4 $SIZE_2 96 $BASE 0.55 $PHOTO_0 $CHEMO_2 $AVOID_0"
ALL[B4]="4 $SIZE_3 128 $BASE 0.65 $PHOTO_0 $CHEMO_1 $AVOID_2"
ALL[B5]="4 $SIZE_4 192 $BASE 0.85 $PHOTO_0 $CHEMO_2 $AVOID_0"
ALL[B6]="4 $SIZE_5 240 $BASE 0.95 $PHOTO_0 $CHEMO_0 $AVOID_0"
ALL[C1]="4 $SIZE_0 32 $BASE 0.40 $PHOTO_0 $CHEMO_0 $AVOID_1"
ALL[C2]="4 $SIZE_1 64 $BASE 0.30 $PHOTO_0 $CHEMO_0 $AVOID_0"
ALL[C3]="4 $SIZE_2 96 $BASE 0.55 $PHOTO_0 $CHEMO_1 $AVOID_0"
ALL[C4]="4 $SIZE_3 128 $BASE 0.45 $PHOTO_0 $CHEMO_2 $AVOID_2"
ALL[C5]="4 $SIZE_4 192 $BASE 0.50 $PHOTO_0 $CHEMO_0 $AVOID_0"
ALL[C6]="4 $SIZE_5 240 $BASE 0.65 $PHOTO_0 $CHEMO_1 $AVOID_0"
ALL[D1]="4 $SIZE_0 32 $BASE 0.70 $PHOTO_0 $CHEMO_2 $AVOID_1"
ALL[D2]="4 $SIZE_1 64 $BASE 0.65 $PHOTO_0 $CHEMO_0 $AVOID_0"
ALL[D3]="4 $SIZE_2 96 $BASE 0.75 $PHOTO_0 $CHEMO_1 $AVOID_2"
ALL[D4]="4 $SIZE_3 128 $BASE 0.85 $PHOTO_0 $CHEMO_0 $AVOID_0"
ALL[D5]="4 $SIZE_4 192 $BASE 0.65 $PHOTO_0 $CHEMO_2 $AVOID_0"
ALL[D6]="4 $SIZE_5 240 $BASE 0.45 $PHOTO_0 $CHEMO_0 $AVOID_0"
export_video() {
local -n arguments=$1
for key in "${!arguments[@]}"; do
args="${arguments[$key]}"
read -r count length width seed fps duration bg_color arena_color arena_border shadow_color \
body_color body_dark body_light head_color thresh_immobile thresh_mobile thigmotaxis \
photo_mode photo_strength photo_x photo_y photo_sine_freq photo_radius chemo_strength chemo_x chemo_y chemo_radius \
avoid_strength avoid_radius aggreg_strength aggreg_radius chem_repulsion chem_decay <<< "$args"
echo "==== Exécution de $PATH/$key.mp4"
./planarian_sim.py --output "$PATH/$key.mp4" --default_width "$default_width" --default_height "$default_height" --default_diameter "$default_diameter" --no-csv \
--count "$count" --length "$length" --width "$width" --duration "$duration" --fps "$fps" --seed "$seed" \
--bg-color "$bg_color" --arena-color "$arena_color" --arena-border "$arena_border" --shadow-color "$shadow_color" \
--body-color "$body_color" --body-dark "$body_dark" --body-light "$body_light" --head-color "$head_color" \
--thresh-immobile "$thresh_immobile" --thresh-mobile "$thresh_mobile" --thigmotaxis "$thigmotaxis" \
--photo-mode "$photo_mode" --photo-strength "$photo_strength" --photo-x "$photo_x" --photo-y "$photo_y" --photo-sine-freq "$photo_sine_freq" --photo-radius "$photo_radius" \
--chemo-strength "$chemo_strength" --chemo-x "$chemo_x" --chemo-y "$chemo_y" --chemo-radius "$chemo_radius" \
--avoid-strength "$avoid_strength" --avoid-radius "$avoid_radius" --aggreg-strength "$aggreg_strength" --aggreg-radius "$aggreg_radius" \
--chem-repulsion "$chem_repulsion" --chem-decay "$chem_decay"
done
}
if [ "$MODE" = "all" ]; then
export_video ALL
else
export_video DEFAULT
fi
+130 -25
View File
@@ -21,11 +21,14 @@ import logging
from datetime import datetime, timezone
from pathlib import Path
from typing import Optional, Callable, TYPE_CHECKING
from asgiref.sync import async_to_sync
from django.conf import settings
from modules.planarian_tracker import PlanarianTracker
from modules.planarian_metrics import ExperimentParams, EthoVisionMetrics
from modules.tube_aligner import TubeAligner
if TYPE_CHECKING:
from .circular_crop import CircularCrop # Evite l'import circulaire au runtime
@@ -49,16 +52,27 @@ class VideoCaptureInterface(abc.ABC):
# Cadence par défaut en images par seconde
DEFAULT_FPS: float = 5.0
def __init__(self, fps: float = DEFAULT_FPS, use_tracking: bool = False, display=None, parent=None):
DEFAULT_TRACKER_CONFIG = dict(
tube_axis = settings.TRACKER_TUBE_AXIS,
min_area_px = settings.TRACKER_MIN_AREA,
max_area_ratio = settings.TRACKER_MAX_AREA_RATIO,
max_planarians = settings.TRACKER_MAX_PLANARIANS,
merge_kernel_size = settings.TRACKER_MERGE_KERNEL_SIZE,
min_contour_dist_px = settings.TRACKER_MIN_CONTOUR_DIST_PX,
)
def __init__(self, fps: float = DEFAULT_FPS, use_tracking: bool = False, display=None, parent=None, jpeg_quality=85):
"""
Initialise l'interface de capture.
:param fps: Cadence cible en images par seconde
"""
self._fps: float = fps
self.use_tracking = use_tracking
self.display = display
self.parent = parent
self.use_tracking = use_tracking
self.jpeg_quality = jpeg_quality
self._interval: float = 1.0 / fps # Intervalle en secondes entre chaque capture
self._running: bool = False # Indique si la capture est en cours
self._thread: Optional[threading.Thread] = None
@@ -67,12 +81,17 @@ class VideoCaptureInterface(abc.ABC):
self._circular_crop: Optional["CircularCrop"] = None # Recadrage circulaire optionnel
self._active_median = False
self._active_crop = False
self._active_edge_enhance = False
self._error_occured = False
self._tracker = PlanarianTracker(
tube_axis = settings.TRACKER_TUBE_AXIS,
min_area_px = settings.TRACKER_MIN_AREA,
)
self._tracker: PlanarianTracker | None = None
self._metrics: list[EthoVisionMetrics] | None = None
self._params: ExperimentParams | None = None
self._clientDB = self.parent.metricDB
# Tracker générique, pour simulation
self.on_test_well_change(**self.DEFAULT_TRACKER_CONFIG)
self._aligner = TubeAligner(
grbl_threshold_px = 20, # au-delà → correction GRBL
dead_zone_px = 5, # en-dessous → rien à faire
@@ -80,13 +99,66 @@ class VideoCaptureInterface(abc.ABC):
)
self.align_detection = None # résultat du test
def on_well_change(self):
"""
Appelé par le CNC lors du changement de puits.
Réinitialise le fond appris et l'état inter-frame du tracker.
"""
self._tracker.reset()
def on_test_well_change(self, **cfg):
try:
if self.use_tracking and cfg:
self._tracker = PlanarianTracker(**cfg)
logger.info(f"Create test with conf: {cfg}")
except Exception as e:
logger.error(f"Error creating tracker with conf {cfg}: {e}")
self._tracker = None
def _flush_current_well(self, uuid=""):
"""Stocke les résumés du puits courant — appelé avant tout changement."""
if not self._metrics or not self._params:
return
for pid, m in enumerate(self._metrics):
async_to_sync(self._clientDB.store_summary)(
summary = m.summary(),
experiment = self._params.experiment,
well = self._params.well,
planarian = pid,
uuid = uuid,
)
logger.warning(f'_flush_current_well: {self._params.well} planaire: {pid}')
self._metrics.clear()
def on_well_change(self, cfg, uuid="", draw_contours=False):
"""
Appelé par la CNC lors du changement de puits.
Réinitialise le fond appris et l'état inter-frame du tracker.
Construit les métriques aussi
"""
if not self.use_tracking or not cfg:
return
# 1. Sauvegarder les résumés du puits qu'on quitte
self._flush_current_well(uuid) # ← ferme le puits courant
# 2. Reconstruire pour le nouveau puit _metrics_list
params = cfg.to_params_dict()
self._params = ExperimentParams(params)
self._metrics = [self._params.build_metrics() for _ in range(self._params.planarian_count)]
self._tracker = PlanarianTracker(
tube_axis = self._params.tube_axis,
min_area_px = self._params.min_area_px,
max_area_ratio = self._params.max_area_ratio,
max_planarians = self._params.planarian_count,
merge_kernel_size = self._params.merge_kernel_size,
min_contour_dist_px = self._params.min_contour_dist_px,
draw_contours = draw_contours,
)
def on_scan_complete(self):
if self.use_tracking:
self._flush_current_well() # ← ferme le dernier puits
def set_draw_contours(self, draw: bool = True):
if self._tracker:
self._tracker.draw_contours = draw
# ------------------------------------------------------------------
# Méthodes abstraites — obligatoires dans les sous-classes
@@ -213,10 +285,30 @@ class VideoCaptureInterface(abc.ABC):
msg= f"{self.__class__.__name__}: recadrage circulaire désactivé"
logger.info(msg)
if self.display is not None:
self.display(state='circular_crop', msg=msg)
def process_frame(self, jpeg_bytes: bytes) -> bytes:
def set_edge_enhance(self, enabled: bool) -> None:
"""Active ou désactive le filtre de mise en évidence des contours (calibration)."""
self._active_edge_enhance = enabled
logger.info(f"{self.__class__.__name__}: edge_enhance={enabled}")
if self.display is not None:
self.display(state='edge_enhance', value=enabled, msg=f"Edge enhance: {enabled}")
def _apply_edge_enhance(self, frame: np.ndarray) -> np.ndarray:
"""Overlay Canny vert additif sur l'image originale.
Flou fort avant détection pour ne garder que les bords dominants (rebord du puit).
"""
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
blurred = cv2.GaussianBlur(gray, (9, 9), 2)
edges = cv2.Canny(blurred, 80, 200)
edges = cv2.dilate(edges, np.ones((3, 3), np.uint8), iterations=1)
overlay = np.zeros_like(frame)
overlay[edges > 0] = [0, 255, 0] # vert sur fond noir
return cv2.addWeighted(frame, 1.0, overlay, 1.0, 0) # additif : image inchangée hors bords
def process_frame(self, jpeg_bytes: bytes) -> tuple[bytes, dict]:
"""
Applique le post-traitement configuré sur une image brute.
@@ -227,30 +319,47 @@ class VideoCaptureInterface(abc.ABC):
:return: Image traitée (JPEG ou PNG selon la stratégie)
"""
metrics = {"detected": False}
if self._circular_crop is not None:
jpeg = self._circular_crop.process(jpeg_bytes)
nparr = np.frombuffer(jpeg, np.uint8)
frame = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
if frame is None:
return jpeg, metrics
# Mode debug
try:
# Edge enhance sur la frame propre, avant les annotations
if self._active_edge_enhance:
frame = self._apply_edge_enhance(frame)
##
# Mode debug (annotations par-dessus)
if self._aligner.debug:
self.align_detection = self._aligner.detect_tube(frame)
annotated = self.align_detection.get('frame_annotated')
frame = annotated if annotated is not None else frame
# mode racking
##
# mode tracking
if self.use_tracking:
ts = datetime.now(timezone.utc).timestamp()
frame, metrics = self._tracker.process(frame, ts)
ok, buf = cv2.imencode(".jpg", frame, [cv2.IMWRITE_JPEG_QUALITY, 85])
##
ok, buf = cv2.imencode(".jpg", frame, [cv2.IMWRITE_JPEG_QUALITY, self.jpeg_quality])
if ok:
jpeg = buf.tobytes()
return jpeg, metrics
except Exception as e:
logger.error(e)
# Pas de circular crop — appliquer edge enhance si actif
if self._active_edge_enhance:
nparr = np.frombuffer(jpeg_bytes, np.uint8)
frame = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
if frame is not None:
frame = self._apply_edge_enhance(frame)
ok, buf = cv2.imencode(".jpg", frame, [cv2.IMWRITE_JPEG_QUALITY, self.jpeg_quality])
if ok:
return buf.tobytes(), metrics
return jpeg_bytes, metrics
def save_frame(self, jpeg_bytes: bytes, directory: str = ".", prefix: str = "frame") -> Path:
@@ -325,16 +434,12 @@ class VideoCaptureInterface(abc.ABC):
##
jpeg, metrics = self.process_frame(jpeg) # Recadrage circulaire si configuré
metrics.update({
"count": self._frame_count,
})
self._frame_count += 1
ts = datetime.now(timezone.utc)
if self._on_frame:
try:
self._on_frame(jpeg, ts, metrics)
self._on_frame(jpeg, ts, metrics, self._frame_count)
except Exception as cb_err: # noqa: BLE001
logger.error("Erreur dans le callback image : %s", cb_err)
+1 -1
View File
@@ -66,7 +66,7 @@ class CircularCrop:
# Cache du masque pour éviter de le recalculer à chaque frame
self._mask_cache: Optional[np.ndarray] = None
self._mask_shape: Optional[tuple[int, int, int]] = None # (H, W, strategy)
self._mask_shape: Optional[tuple[int, ...]] = None # (H, W, cx, cy, radius)
# ------------------------------------------------------------------
# API publique
+7 -7
View File
@@ -12,6 +12,7 @@ import logging
import serial
import time
import threading
from typing import Callable, Any
logging.basicConfig(level=logging.INFO)
@@ -41,11 +42,10 @@ class GRBLController:
if y_max is not None:
self.Y_MAX = y_max
self._state = send_callback
if self._state is None:
self._state = self._send_msg
self._state: Callable[..., Any] = send_callback if send_callback is not None else self._send_msg
self.x, self.y = 0, 0
self.x: float | None = None
self.y: float | None = None
#self.start_connection()
@@ -67,8 +67,8 @@ class GRBLController:
try:
self.ser = serial.Serial(self.port, self.baudrate, timeout=self.timeout, exclusive=True)
# CRITIQUE :
self.ser.setDTR(False)
self.ser.setRTS(False)
self.ser.setDTR(False) # type: ignore[attr-defined]
self.ser.setRTS(False) # type: ignore[attr-defined]
self.clear_buffer()
self._wake_up()
@@ -192,7 +192,7 @@ class GRBLController:
def move_relative(self, dx=0, dy=0, feed=1000):
x, y = self.get_mpos() # Position actuelle
self.move_to(x + dx, y + dy, feed=feed)
self.move_to((x or 0) + dx, (y or 0) + dy, feed=feed)
def move_relative__(self, dx=0, dy=0, feed=1000):
self.send("G91") # Mode relatif
+300
View File
@@ -0,0 +1,300 @@
'''
Simulateur GCode pour tester sans CNC physique.
GRBLController (simulé):
Reproduit fidèlement l'API de grbl.py
Simule les mouvements (X, Y) avec délai proportionnel au feed rate
Le mode absolu est retenu
Aucune dépendance à pyserial
Created on 07 mai 2026
@author: denis@miraceti.net
'''
import logging
import time
import threading
import math
from typing import Callable, Any
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class GRBLController:
'''
Simulateur du contrôleur GRBL 1.1f (L2544 Laser Engraving Machine).
API 100% identique à grbl.py — interchangeable sans modifier le code appelant.
Les délais de déplacement sont calculés à partir du feed rate et de la distance.
'''
X_MAX = 350
Y_MAX = 250
X_MIN = 0
Y_MIN = 0
# Facteur de compression du temps simulé (1.0 = temps réel, 0.1 = 10x plus rapide)
TIME_SCALE = 0.1
def __init__(self, port='/dev/ttyUSB0', baudrate=115200, timeout=1, send_callback=None, x_max=None, y_max=None):
logger.info(f"GRBLController SIMULATOR::init begin {port} device port")
self.port = port
self.baudrate = baudrate
self.timeout = timeout
if x_max is not None:
self.X_MAX = x_max
if y_max is not None:
self.Y_MAX = y_max
self._state: Callable[..., Any] = send_callback if send_callback is not None else self._send_msg
# Position courante simulée
self.x: float | None = None
self.y: float | None = None
# État interne de la machine simulée
self._machine_state = 'Idle' # Idle | Run | Alarm
self._connected = False
# -------------------------------------------------------------------------
# Méthodes utilitaires
# -------------------------------------------------------------------------
def wait_for(self, delay=1.0):
# Applique le facteur de compression temporelle
threading.Event().wait(delay * self.TIME_SCALE)
def _send_msg(self, **msg):
# Callback par défaut : simple affichage console
print(msg)
# -------------------------------------------------------------------------
# Simulation de la couche série (pas de port réel)
# -------------------------------------------------------------------------
def clear_buffer(self):
# Rien à vider : pas de port série physique
logger.debug("SIMULATOR::clear_buffer (no-op)")
def start_connection(self):
'''Simule l'ouverture de la connexion série et l'initialisation GRBL.'''
logger.info(f"SIMULATOR::start_connection on {self.port} @ {self.baudrate} baud")
self._state(state='serial', msg="Grbl 1.1f ['$' for help]")
self._connected = True
self._wake_up()
self._init_machine()
logger.info("SIMULATOR::start_connection started")
def _init_machine(self):
# Envoie les commandes d'initialisation (simulées)
self.send("G21") # Unités en mm
self.send("G90") # Mode absolu
def _clamp(self, x, y):
self.clear_buffer()
x = max(self.X_MIN, min(self.X_MAX, x))
y = max(self.Y_MIN, min(self.Y_MAX, y))
return x, y
def _wake_up(self):
# Simule l'envoi des octets de réveil et la réponse GRBL
logger.debug("SIMULATOR::_wake_up")
self.wait_for(1)
self._state(state='serial', msg="") # ligne vide typique de GRBL au démarrage
self.clear_buffer()
# -------------------------------------------------------------------------
# Envoi de commandes
# -------------------------------------------------------------------------
def send(self, cmd, wait_ok=True, timeout=5):
try:
return self._send(cmd, wait_ok, timeout)
except Exception as e:
self._state(state='error', msg=f"Error send {cmd} command: {e}")
self.close()
self.start_connection()
def recover(self):
self._state(state='recover', msg="Erreur, récupération de GRBL...")
self.wait_for(1)
self._wake_up()
def _send(self, cmd, wait_ok=True, timeout=5):
'''Simule l'envoi d'une commande GCode et retourne "ok".'''
self._state(state='send', msg=f">>> {cmd}")
logger.debug(f"SIMULATOR::_send {cmd}")
# Interprète les commandes de mouvement pour mettre à jour la position interne
self._interpret_gcode(cmd)
if not wait_ok:
return None
# Simule une réponse "ok" immédiate
return "ok"
def _interpret_gcode(self, cmd):
'''
Analyse le GCode pour mettre à jour x, y et simuler le délai de déplacement.
Gère : G0, G1, G53 G1, G92, G21, G90, G91, $X, $H.
'''
cmd_upper = cmd.strip().upper()
# --- Commandes sans mouvement ---
if cmd_upper in ("G21", "G90", "G91", "$X"):
return
if cmd_upper == "$H":
# Homing : retour à l'origine avec délai simulé
self._machine_state = 'Run'
self._state(state='send', msg="SIMULATOR: homing...")
distance = math.hypot(self.x or 0.0, self.y or 0.0)
self._simulate_move_delay(distance, feed=3000)
self.x, self.y = 0.0, 0.0
self._machine_state = 'Idle'
return
# --- Extraction des coordonnées X, Y et du feed F ---
tokens = cmd_upper.replace(',', ' ').split()
new_x: float = self.x or 0.0
new_y: float = self.y or 0.0
feed: float = 1000.0
for token in tokens:
if token.startswith('X'):
try:
new_x = float(token[1:])
except ValueError:
pass
elif token.startswith('Y'):
try:
new_y = float(token[1:])
except ValueError:
pass
elif token.startswith('F'):
try:
feed = float(token[1:])
except ValueError:
pass
# --- G92 : redéfinit la position courante sans déplacement ---
if 'G92' in tokens:
self.x = new_x
self.y = new_y
logger.debug(f"SIMULATOR: G92 position set to ({self.x:.2f}, {self.y:.2f})")
return
# --- Mouvement effectif (G0, G1, G53 G1, etc.) ---
has_move = any(t in tokens for t in ('G0', 'G1', 'G53'))
cur_x = self.x or 0.0
cur_y = self.y or 0.0
if has_move and (new_x != cur_x or new_y != cur_y):
distance = math.hypot(new_x - cur_x, new_y - cur_y)
self._machine_state = 'Run'
self._simulate_move_delay(distance, feed)
self.x = new_x
self.y = new_y
self._machine_state = 'Idle'
logger.debug(f"SIMULATOR: moved to ({self.x:.2f}, {self.y:.2f})")
def _simulate_move_delay(self, distance_mm, feed):
'''Simule le temps de déplacement : distance / feed (mm/min) → secondes.'''
if feed <= 0:
return
duration = (distance_mm / feed) * 60.0 # feed est en mm/min
self.wait_for(duration)
# -------------------------------------------------------------------------
# Status machine
# -------------------------------------------------------------------------
def get_status(self):
'''Retourne un status GRBL simulé au format <State|MPos:x,y,z>.'''
x = self.x or 0.0
y = self.y or 0.0
status = f"<{self._machine_state}|MPos:{x:.3f},{y:.3f},0.000|FS:0,0>"
logger.debug(f"SIMULATOR::get_status → {status}")
return status
def reset_grbl(self):
self.send("$X") # Réinitialise les alarmes
self.wait_idle()
self.send("$H") # Homing
self.wait_idle()
def _mpos(self, status):
if "MPos" in status:
mpos = status.split("MPos:")[1].split("|")[0]
x, y, *_ = mpos.split(",")
self._state(state='Mpos', msg=f"pos >>> ({x}, {y})")
return float(x), float(y)
return None, None
def get_mpos(self):
return self._mpos(self.get_status())
def wait_idle(self, timeout=20):
'''Attend que la machine soit à l'état Idle (immédiat en simulation).'''
start = time.time()
while True:
if time.time() - start > timeout:
raise TimeoutError("Délai d'attente pour Idle dépassé")
status = self.get_status()
self.x, self.y = self._mpos(status)
self._state(xy=True, x=self.x, y=self.y)
if status and "Idle" in status:
break
self.wait_for(0.1)
# -------------------------------------------------------------------------
# Commandes de haut niveau (identiques à grbl.py)
# -------------------------------------------------------------------------
def send_command(self, cmd):
self.send(cmd)
self.wait_idle()
def move_to(self, x, y, feed=1000):
x, y = self._clamp(x, y)
cmd = f"G53 G1 X{x:.2f} Y{y:.2f} F{feed}"
self.send_command(cmd)
def move_relative(self, dx=0, dy=0, feed=1000):
x, y = self.get_mpos() # Position actuelle
self.move_to((x or 0.0) + dx, (y or 0.0) + dy, feed=feed)
def move_relative__(self, dx=0, dy=0, feed=1000):
self.send("G91") # Mode relatif
cmd = f"G0 X{dx} Y{dy} F{feed}"
self.send(cmd)
self.send("G90") # Retour en mode absolu
self.wait_idle()
def go_origin(self, feed=1000):
self.move_to(0, 0, feed=feed)
self.wait_for(2.0)
def set_position(self, x, y):
x, y = self._clamp(x, y)
cmd = f"G92 X{x:.2f} Y{y:.2f}"
self.send(cmd)
self.wait_for(2.0)
def move_up(self, step=10, feed=1000):
self.move_relative(dy=step, feed=feed)
def move_down(self, step=10, feed=1000):
self.move_relative(dy=-step, feed=feed)
def move_left(self, step=10, feed=1000):
self.move_relative(dx=-step, feed=feed)
def move_right(self, step=10, feed=1000):
self.move_relative(dx=step, feed=feed)
def close(self):
# Simule la fermeture du port série
self._connected = False
logger.info("SIMULATOR::close — connexion simulée fermée")
@@ -59,7 +59,7 @@ class PiCamera2Capture(VideoCaptureInterface):
:param use_video_config: True = VideoConfiguration (flux continu, basse latence)
False = StillConfiguration (haute résolution, plus lent)
"""
super().__init__(fps=fps, use_tracking=use_tracking, display=display, parent=parent)
super().__init__(fps=fps, use_tracking=use_tracking, display=display, parent=parent, jpeg_quality=jpeg_quality)
self._width: int = width
self._height: int = height
self._jpeg_quality: int = jpeg_quality
File diff suppressed because it is too large Load Diff
+506 -205
View File
@@ -1,36 +1,221 @@
# modules/planarian_tracker.py
'''
Created on 16 avr. 2026
"""
modules/planarian_tracker.py
Détection et suivi multi-individus de planaires dans un tube.
Supporte de 1 à MAX_PLANARIANS planaires par tube.
Stratégie :
- Soustraction de fond MOG2 (léger sur Raspberry Pi 4)
- Détection de tous les contours valides (surface >= min_area_px)
- Association frame-à-frame par distance euclidienne minimale
via algorithme hongrois (scipy.optimize.linear_sum_assignment)
- Un état inter-frame indépendant par individu (PlanarianState)
- Retourne une liste de résultats, un par individu suivi
Created on 25 avr. 2026
@author: denis
'''
"""
import cv2
import logging
import numpy as np
from scipy.optimize import linear_sum_assignment
import logging
logger = logging.getLogger(__name__)
# Nombre maximum de planaires suivis simultanément par tube
MAX_PLANARIANS = 10
# Distance maximale en pixels entre deux positions consécutives
# pour qu'une association soit acceptée (évite les sauts aberrants)
MAX_ASSOC_DIST_PX = 80
# Couleurs d'annotation par individu (BGR)
# Cycle automatique si plus de planaires que de couleurs
INDIVIDUAL_COLORS = [
(255, 255, 0), # cyan
( 0, 165, 255), # orange
(255, 0, 255), # magenta
( 0, 255, 255), # jaune
(128, 0, 255), # violet
( 0, 255, 128), # vert clair
(255, 128, 0), # bleu clair
( 0, 128, 255), # orange foncé
(128, 255, 0), # vert-jaune
(255, 0, 128), # rose
]
# Couleur du contour principal (individu le plus grand)
COLOR_LARGEST = (255, 255, 0) # cyan
COLOR_OTHER = ( 0, 255, 0) # vert
COLOR_CENTER = ( 0, 0, 255) # rouge
# ---------------------------------------------------------------------------
# État inter-frame d'un individu
# ---------------------------------------------------------------------------
class PlanarianState:
"""
Mémorise la position et le timestamp de la dernière détection
pour un planaire individuel.
Un PlanarianState par slot (index 0 à max_planarians-1).
Quand un slot n'est pas associé à un contour sur plusieurs frames
consécutives, il est marqué comme perdu (lost).
"""
# Nombre de frames sans détection avant de considérer l'individu perdu
MAX_LOST_FRAMES = 5
def __init__(self, idx: int):
"""
Args:
idx : index de l'individu (0-based)
"""
self.idx: int = idx
self.cx: int | None = None
self.cy: int | None = None
self.ts: float | None = None
self.lost: int = 0 # compteur de frames sans détection
self.active: bool = False # vrai si l'individu a été détecté au moins une fois
def update(self, cx: int, cy: int, ts: float):
"""
Met à jour la position suite à une association réussie.
Args:
cx, cy : position du centre de masse en pixels
ts : timestamp de la frame
"""
self.cx = cx
self.cy = cy
self.ts = ts
self.lost = 0
self.active = True
def mark_lost(self):
"""Incrémente le compteur de perte — appelé quand aucun contour n'est associé."""
self.lost += 1
@property
def is_lost(self) -> bool:
"""Retourne True si l'individu est considéré perdu (trop de frames sans détection)."""
return self.lost >= self.MAX_LOST_FRAMES
def compute_speed(self, cx: int, cy: int, ts: float, tube_axis: str) -> tuple:
"""
Calcule la vitesse instantanée depuis la position précédente.
Args:
cx, cy : position courante en pixels
ts : timestamp courant
tube_axis : "vertical" ou "horizontal"
Returns:
tuple (speed_px_s, axial_speed) ou (0.0, 0.0) si état vide
"""
if self.cx is None or self.cy is None or self.ts is None:
return 0.0, 0.0
dt = ts - self.ts
if dt <= 0:
return 0.0, 0.0
dx = cx - self.cx
dy = cy - self.cy
speed_px_s = float(np.sqrt(dx**2 + dy**2) / dt)
axial_speed = float((dy / dt) if tube_axis == "vertical" else (dx / dt))
return speed_px_s, axial_speed
def reset(self):
"""Réinitialise l'état de cet individu."""
self.cx = None
self.cy = None
self.ts = None
self.lost = 0
self.active = False
# ---------------------------------------------------------------------------
# Tracker multi-individus
# ---------------------------------------------------------------------------
class PlanarianTracker:
"""
Détection et suivi d'une planaire dans un tube.
Détection et suivi multi-individus de planaires dans un tube.
Instancié une fois par caméra active, réutilisé frame à frame.
Utilise la soustraction de fond MOG2 — léger sur Raspberry Pi 4.
Association frame-à-frame par algorithme hongrois (distance euclidienne).
Usage :
tracker = PlanarianTracker(tube_axis="vertical", max_planarians=3)
while capturing:
frame_out, results = tracker.process(frame, ts)
# results : liste de dicts, un par individu détecté
for r in results:
metrics.update(r, planarian_id=r["planarian_id"])
"""
def __init__(self, tube_axis: str = "vertical", min_area_px: int = 20):
# Axe du tube : "vertical" (cy) ou "horizontal" (cx)
# Nombre de frames d'initialisation MOG2 ignorées (fond non appris)
WARMUP_FRAMES = 10
def __init__(
self,
tube_axis: str = "vertical",
min_area_px: int = 20,
max_area_ratio: float = 0.10,
max_planarians: int = 1,
merge_kernel_size: int = 15,
min_contour_dist_px:int = 40,
draw_contours: bool = True,
):
"""
Args:
tube_axis : axe principal du tube — "vertical" (cy) ou "horizontal" (cx)
min_area_px : surface minimale d'un contour pour être considéré valide (px²)
max_area_ratio : surface maximale d'un contour en fraction de la frame (défaut 10%)
filtre les faux positifs du fond non encore appris par MOG2
max_planarians : nombre maximum de planaires à suivre simultanément (1-10)
merge_kernel_size : taille du kernel elliptique de fusion des fragments (px).
Régler ≈ largeur du planaire en pixels. Défaut : 15.
min_contour_dist_px : distance min entre deux contours pour les considérer
comme individus distincts. Défaut : 40px.
"""
self.tube_axis = tube_axis
self.min_area_px = min_area_px
self.max_area_ratio = max_area_ratio
self.max_planarians = max(1, min(max_planarians, MAX_PLANARIANS))
self.draw_contours = draw_contours
# Etat inter-frame
self._prev_cx = None
self._prev_cy = None
self._prev_ts = None
# Un état inter-frame par slot individu
self._states = [PlanarianState(i) for i in range(self.max_planarians)]
# Taille du kernel de fusion morphologique (pixels) —
# doit être proche de la largeur du planaire en pixels.
# Trop petit : fragments non fusionnés → IDs multiples.
# Trop grand : deux planaires proches fusionnés en un seul.
self.merge_kernel_size = merge_kernel_size
# Distance minimale en pixels entre deux contours distincts.
# En-dessous : le plus petit est considéré comme fragment du plus grand.
self.min_contour_dist_px = min_contour_dist_px
# Soustracteur de fond adaptatif MOG2
self._bg_sub = cv2.createBackgroundSubtractorMOG2(
self._bg_sub = self._make_bg_sub()
# Compteur de frames d'initialisation — MOG2 retourne du bruit
# pendant les premières WARMUP_FRAMES frames
self._warmup_count = 0
@staticmethod
def _make_bg_sub():
"""Crée et retourne un soustracteur de fond MOG2."""
return cv2.createBackgroundSubtractorMOG2(
history = 50,
varThreshold = 25,
detectShadows= False,
@@ -38,205 +223,321 @@ class PlanarianTracker:
def reset(self):
"""
Réinitialise l'état inter-frame — appeler lors du changement de puits.
Réinitialise l'état inter-frame complet.
À appeler lors du changement de puits.
"""
self._prev_cx = None
self._prev_cy = None
self._prev_ts = None
# Réinitialise le fond appris
self._bg_sub = cv2.createBackgroundSubtractorMOG2(
history = 50,
varThreshold = 25,
detectShadows= False,
)
'''
def process(self, frame: np.ndarray, ts: float) -> dict:
"""
Analyse une frame décodée numpy.
Retourne un dict de métriques attachable aux labels ReductStore.
:param frame: Frame BGR décodée (numpy array)
:param ts: Timestamp epoch secondes (float)
:return: dict métriques
"""
result = self._empty_result(ts)
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
fg_mask = self._bg_sub.apply(gray)
# Nettoyage morphologique du masque
kernel = np.ones((3, 3), np.uint8)
fg_mask = cv2.morphologyEx(fg_mask, cv2.MORPH_OPEN, kernel)
fg_mask = cv2.morphologyEx(fg_mask, cv2.MORPH_CLOSE, kernel)
contours, _ = cv2.findContours(
fg_mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE
)
if not contours:
self._update_prev(None, None, ts)
return result
# Plus grand contour = planaire
largest = max(contours, key=cv2.contourArea)
area = cv2.contourArea(largest)
if area < self.min_area_px:
self._update_prev(None, None, ts)
return result
# Centre de masse
M = cv2.moments(largest)
if M["m00"] == 0:
return result
cx = int(M["m10"] / M["m00"])
cy = int(M["m01"] / M["m00"])
h, w = frame.shape[:2]
# Position normalisée sur l'axe du tube (0.0 → 1.0)
axial_pos = (cy / h) if self.tube_axis == "vertical" else (cx / w)
# Vitesse calculée entre frames
speed_px_s = None
axial_speed = None
if self._prev_cx is not None and self._prev_ts is not None:
dt = ts - self._prev_ts
if dt > 0:
dx = cx - self._prev_cx
dy = cy - self._prev_cy
speed_px_s = float(np.sqrt(dx**2 + dy**2) / dt)
# Vitesse signée sur l'axe du tube
# + = vers bas/droite, - = vers haut/gauche
axial_speed = float((dy / dt) if self.tube_axis == "vertical" else (dx / dt))
result.update({
"detected" : True,
"cx" : cx,
"cy" : cy,
"area_px" : int(area),
"speed_px_s" : round(speed_px_s, 3) if speed_px_s is not None else 0.0,
"axial_speed" : round(axial_speed, 3) if axial_speed is not None else 0.0,
"axial_pos" : round(axial_pos, 4),
})
self._update_prev(cx, cy, ts)
return result
'''
def process(self, frame: np.ndarray, ts: float) -> tuple[np.ndarray, dict]:
"""
Analyse une frame et dessine les contours détectés directement sur l'image.
Retourne (frame_annotée, métriques).
Contours fins Vert (0,255,0) Tous les contours valides détectés
Contour épais Cyan (255,255,0) Planaire principale (plus grand contour)
Croix + cercle Rouge (0,0,255) Centre de masse exact
Texte Blanc Vitesse px/s + position axiale normalisée
"""
result = self._empty_result(ts)
frame_out = frame.copy() # copie pour ne pas modifier l'original
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
fg_mask = self._bg_sub.apply(gray)
kernel = np.ones((3, 3), np.uint8)
fg_mask = cv2.morphologyEx(fg_mask, cv2.MORPH_OPEN, kernel)
fg_mask = cv2.morphologyEx(fg_mask, cv2.MORPH_CLOSE, kernel)
contours, _ = cv2.findContours(
fg_mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE
)
if not contours:
self._update_prev(None, None, ts)
return frame_out, result
# Filtre les contours significatifs
valid_contours = [c for c in contours if cv2.contourArea(c) >= self.min_area_px]
if not valid_contours:
self._update_prev(None, None, ts)
return frame_out, result
# Dessine tous les contours valides en vert fin
cv2.drawContours(frame_out, valid_contours, -1, (0, 255, 0), 1)
# Plus grand contour = planaire principale
largest = max(valid_contours, key=cv2.contourArea)
area = cv2.contourArea(largest)
# Contour principal en cyan plus épais
cv2.drawContours(frame_out, [largest], -1, (255, 255, 0), 2)
M = cv2.moments(largest)
if M["m00"] == 0:
return frame_out, result
cx = int(M["m10"] / M["m00"])
cy = int(M["m01"] / M["m00"])
h, w = frame.shape[:2]
axial_pos = (cy / h) if self.tube_axis == "vertical" else (cx / w)
speed_px_s = None
axial_speed = None
if self._prev_cx is not None and self._prev_ts is not None:
dt = ts - self._prev_ts
if dt > 0:
dx = cx - self._prev_cx
dy = cy - self._prev_cy
speed_px_s = float(np.sqrt(dx**2 + dy**2) / dt)
axial_speed = float((dy / dt) if self.tube_axis == "vertical" else (dx / dt))
# Croix sur le centre de masse
cross_size = 8
cv2.line(frame_out, (cx - cross_size, cy), (cx + cross_size, cy), (0, 0, 255), 1)
cv2.line(frame_out, (cx, cy - cross_size), (cx, cy + cross_size), (0, 0, 255), 1)
# Cercle centré sur la planaire
cv2.circle(frame_out, (cx, cy), 12, (0, 0, 255), 1)
# Texte vitesse + position axiale
label = f"v={speed_px_s:.1f}px/s ax={axial_pos:.2f}" if speed_px_s is not None else f"ax={axial_pos:.2f}"
cv2.putText(
frame_out, label,
(max(cx - 60, 0), max(cy - 18, 12)),
cv2.FONT_HERSHEY_SIMPLEX, 0.4, (255, 255, 255), 1, cv2.LINE_AA,
)
result.update({
"detected" : True,
"cx" : cx,
"cy" : cy,
"area_px" : int(area),
"speed_px_s" : round(speed_px_s, 3) if speed_px_s is not None else 0.0,
"axial_speed" : round(axial_speed, 3) if axial_speed is not None else 0.0,
"axial_pos" : round(axial_pos, 4),
})
self._update_prev(cx, cy, ts)
return frame_out, result
for s in self._states:
s.reset()
self._bg_sub = self._make_bg_sub()
self._warmup_count = 0
# Les paramètres morphologiques (merge_kernel_size, min_contour_dist_px)
# sont conservés — ils ne dépendent pas du puits
# ------------------------------------------------------------------ #
def _empty_result(self, ts: float) -> dict:
return {
# Interface principale
# ------------------------------------------------------------------ #
def process(self, frame: np.ndarray, ts: float) -> tuple:
"""
Analyse une frame, associe les contours aux individus connus,
dessine les annotations et retourne les métriques.
Args:
frame : image BGR (numpy array)
ts : timestamp de la frame (float, secondes epoch)
Returns:
tuple (frame_annotée, results)
frame_annotée : copie BGR avec contours, croix et textes
results : liste de dicts — un dict par planaire actif détecté.
Chaque dict contient :
planarian_id int index de l'individu (0-based)
detected bool True si détecté cette frame
cx, cy int centre de masse en pixels
area_px int surface du contour (px²)
speed_px_s float vitesse totale (px/s)
axial_speed float vitesse axiale (px/s)
axial_pos float position axiale normalisée (0-1)
timestamp float ts de la frame
"""
frame_out = frame.copy()
h, w = frame.shape[:2]
# --- Extraction du premier plan ---
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
fg_mask = self._bg_sub.apply(gray)
# --- Morphologie : fusion des fragments du corps ---
# Un planaire ondulant est souvent segmenté en plusieurs contours
# (tête, milieu, queue). La dilatation fusionne les fragments proches
# avant la détection des contours.
# Kernel 3×3 : supprime le bruit fin (OPEN)
# Kernel merge_kernel : fusionne les fragments du corps (CLOSE + DILATE)
noise_kernel = np.ones((3, 3), np.uint8)
merge_kernel = cv2.getStructuringElement(
cv2.MORPH_ELLIPSE, (self.merge_kernel_size, self.merge_kernel_size)
)
fg_mask = cv2.morphologyEx(fg_mask, cv2.MORPH_OPEN, noise_kernel)
fg_mask = cv2.morphologyEx(fg_mask, cv2.MORPH_CLOSE, merge_kernel)
fg_mask = cv2.dilate(fg_mask, merge_kernel, iterations=1)
# Warmup MOG2 : les premières WARMUP_FRAMES frames retournent du bruit
# (fond non encore appris) — on les alimente mais on ne détecte rien
self._warmup_count += 1
if self._warmup_count <= self.WARMUP_FRAMES:
return frame_out, []
contours, _ = cv2.findContours(
fg_mask, cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE
)
# Surface maximale admissible : fraction de la frame
# Filtre les faux positifs du fond (contours couvrant toute l'image)
max_area_px = h * w * self.max_area_ratio
# Filtrage : surface min ET surface max, triés par surface décroissante
valid = sorted(
[c for c in contours
if self.min_area_px <= cv2.contourArea(c) <= max_area_px],
key=cv2.contourArea,
reverse=True,
)
# --- Suppression des fragments résiduels trop proches ---
# Si plusieurs contours valides ont leur centre à moins de
# min_contour_dist_px les uns des autres, seul le plus grand est conservé.
# Évite les cas où la fusion morphologique est incomplète.
filtered = []
for c in valid:
M = cv2.moments(c)
if M["m00"] == 0:
continue
cx_c = int(M["m10"] / M["m00"])
cy_c = int(M["m01"] / M["m00"])
too_close = False
for kept in filtered:
Mk = cv2.moments(kept)
if Mk["m00"] == 0:
continue
cx_k = int(Mk["m10"] / Mk["m00"])
cy_k = int(Mk["m01"] / Mk["m00"])
dist = np.sqrt((cx_c - cx_k)**2 + (cy_c - cy_k)**2)
if dist < self.min_contour_dist_px:
too_close = True
break
if not too_close:
filtered.append(c)
# Limiter au nombre maximum de planaires attendus
valid = filtered[:self.max_planarians]
# --- Calcul des centres de masse des contours détectés ---
detections = [] # liste de (cx, cy, area, contour)
for c in valid:
M = cv2.moments(c)
if M["m00"] == 0:
continue
cx = int(M["m10"] / M["m00"])
cy = int(M["m01"] / M["m00"])
area = cv2.contourArea(c)
detections.append((cx, cy, int(area), c))
# --- Association hongroise détections → slots individus ---
assignments = self._hungarian_assign(detections)
# --- Mise à jour des états et construction des résultats ---
results = []
for slot_idx, det_idx in assignments.items():
state = self._states[slot_idx]
if det_idx is None:
# Aucune détection associée à ce slot
state.mark_lost()
if state.active and not state.is_lost:
# L'individu était suivi : on retourne un résultat "perdu"
results.append(self._lost_result(slot_idx, ts))
continue
cx, cy, area, contour = detections[det_idx]
# Calcul de la vitesse depuis la position précédente
speed_px_s, axial_speed = state.compute_speed(cx, cy, ts, self.tube_axis)
axial_pos = (cy / h) if self.tube_axis == "vertical" else (cx / w)
# Mise à jour de l'état
state.update(cx, cy, ts)
if self.draw_contours:
# Annotation visuelle
color = INDIVIDUAL_COLORS[slot_idx % len(INDIVIDUAL_COLORS)]
cv2.drawContours(frame_out, [contour], -1, color, 2)
self._draw_center(frame_out, cx, cy, slot_idx, speed_px_s, axial_pos, color)
results.append({
"planarian_id": slot_idx,
"detected": True,
"cx": cx,
"cy": cy,
"area_px": area,
"speed_px_s": round(speed_px_s, 3),
"axial_speed": round(axial_speed, 3),
"axial_pos": round(axial_pos, 4),
"timestamp": ts,
})
# Marquer les slots non présents dans les assignments comme perdus
assigned_slots = set(assignments.keys())
for state in self._states:
if state.idx not in assigned_slots:
state.mark_lost()
return frame_out, results
# ------------------------------------------------------------------ #
# Association hongroise
# ------------------------------------------------------------------ #
def _hungarian_assign(self, detections: list) -> dict:
"""
Associe les détections courantes aux slots individus connus
via l'algorithme hongrois (coût = distance euclidienne).
Contrainte : une association n'est acceptée que si la distance
est inférieure à MAX_ASSOC_DIST_PX (évite les sauts aberrants).
Args:
detections : liste de (cx, cy, area, contour)
Returns:
dict {slot_idx: det_idx | None}
det_idx = None si aucune détection assignée à ce slot
"""
n_slots = self.max_planarians
n_dets = len(detections)
if n_dets == 0:
# Aucune détection : tous les slots sont "perdus"
return {i: None for i in range(n_slots)}
# Slots actifs (déjà vus au moins une fois et non perdus)
active_slots = [s for s in self._states if s.active and not s.is_lost]
if not active_slots:
# Première frame ou tous perdus : attribution séquentielle simple
assignment = {}
for i in range(n_slots):
assignment[i] = i if i < n_dets else None
return assignment
# --- Construction de la matrice de coût (distance euclidienne) ---
cost = np.full((len(active_slots), n_dets), fill_value=1e6)
for si, state in enumerate(active_slots):
for di, (cx, cy, _, _) in enumerate(detections):
dist = np.sqrt((cx - state.cx)**2 + (cy - state.cy)**2)
cost[si, di] = dist
# --- Algorithme hongrois ---
row_ind, col_ind = linear_sum_assignment(cost)
# Construire le dict d'association
assignment: dict[int, int | None] = {i: None for i in range(n_slots)}
assigned_dets = set()
for ri, ci in zip(row_ind, col_ind):
if cost[ri, ci] <= MAX_ASSOC_DIST_PX:
slot_idx = active_slots[ri].idx
assignment[slot_idx] = ci
assigned_dets.add(ci)
# --- Nouvelles détections non assignées → slots inactifs libres ---
free_slots = [s for s in self._states if not s.active or s.is_lost]
new_dets = [di for di in range(n_dets) if di not in assigned_dets]
for state, det_idx in zip(free_slots, new_dets):
assignment[state.idx] = det_idx
return assignment
# ------------------------------------------------------------------ #
# Dessin des annotations
# ------------------------------------------------------------------ #
def _draw_center(
self,
frame: np.ndarray,
cx: int,
cy: int,
idx: int,
speed_px_s: float,
axial_pos: float,
color: tuple,
):
"""
Dessine la croix, le cercle et le label de vitesse/position
pour un individu.
Args:
frame : image à annoter (en place)
cx, cy : centre de masse en pixels
idx : index de l'individu
speed_px_s : vitesse en px/s
axial_pos : position axiale normalisée
color : couleur BGR de l'individu
"""
cross = 8
cv2.line(frame, (cx - cross, cy), (cx + cross, cy), COLOR_CENTER, 1)
cv2.line(frame, (cx, cy - cross), (cx, cy + cross), COLOR_CENTER, 1)
cv2.circle(frame, (cx, cy), 12, color, 1)
# Badge numéro individu
cv2.circle(frame, (cx + 14, cy - 14), 8, color, -1)
cv2.putText(
frame, str(idx),
(cx + 10, cy - 10),
cv2.FONT_HERSHEY_SIMPLEX, 0.35, (0, 0, 0), 1, cv2.LINE_AA,
)
# Texte vitesse + position axiale
label = (
f"#{idx} v={speed_px_s:.1f}px/s ax={axial_pos:.2f}"
if speed_px_s > 0
else f"#{idx} ax={axial_pos:.2f}"
)
cv2.putText(
frame, label,
(max(cx - 60, 0), max(cy - 22, 12)),
cv2.FONT_HERSHEY_SIMPLEX, 0.35, (255, 255, 255), 1, cv2.LINE_AA,
)
# ------------------------------------------------------------------ #
# Résultats vides / perdus
# ------------------------------------------------------------------ #
def _lost_result(self, planarian_id: int, ts: float) -> dict:
"""
Retourne un résultat pour un individu temporairement non détecté.
Args:
planarian_id : index de l'individu
ts : timestamp de la frame courante
Returns:
dict avec detected=False et les dernières coordonnées connues
"""
state = self._states[planarian_id]
return {
"planarian_id": planarian_id,
"detected": False,
"cx" : 0,
"cy" : 0,
"cx": state.cx or 0,
"cy": state.cy or 0,
"area_px": 0,
"speed_px_s": 0.0,
"axial_speed": 0.0,
"axial_pos": 0.0,
"timestamp": ts,
}
def _update_prev(self, cx, cy, ts):
self._prev_cx = cx
self._prev_cy = cy
self._prev_ts = ts
+1 -2
View File
@@ -27,12 +27,11 @@ class ReductStoreBase(ABC):
self.bucket: Bucket = asyncio.run(self.create_bucket())
logger.info(f"==== {url} token:{api_token}")
async def create_bucket(self):
settings = BucketSettings(
quota_type=self.quota_type,
quota_size=self.quota_size,
exist_ok=True,
)
return await self.client.create_bucket(self.bucket_name, settings, exist_ok=True)
+1 -1
View File
@@ -111,7 +111,7 @@ def _update_cache():
_timer.start()
def start_background_updater(interval_seconds: int = None):
def start_background_updater(interval_seconds: int = 0):
global REFRESH_INTERVAL, _timer
if interval_seconds:
REFRESH_INTERVAL = interval_seconds
+21 -6
View File
@@ -29,6 +29,17 @@ class TubeAligner:
self.debug = debug
self.display = display
self.TUBE_DIAMETER_MM = 16.0
# Plage de recherche du rayon en fraction de min(w,h)
# Défaut : tube occupe ~30% du champ (camera).
# Mode vidéo : puit remplit le crop → ratio ~0.50 → appeler set_radius_range(0.35, 0.52)
self._min_radius_ratio = 0.26
self._max_radius_ratio = 0.37
self.draw_annotations = True # masquer l'overlay sans couper la détection
def set_radius_range(self, min_ratio: float, max_ratio: float) -> None:
"""Ajuste la plage de recherche HoughCircles. Appeler avant detect_tube()."""
self._min_radius_ratio = min_ratio
self._max_radius_ratio = max_ratio
def set_tube_diameter(self, tube_diameter: float = 16.0) -> None:
@@ -64,14 +75,18 @@ class TubeAligner:
frame_out = frame.copy()
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# CLAHE pour renforcer le contraste local (paroi du puit sur fond gris uniforme)
clahe = cv2.createCLAHE(clipLimit=3.0, tileGridSize=(8, 8))
gray = clahe.apply(gray)
blurred = cv2.GaussianBlur(gray, (15, 15), 3)
lo = self._min_radius_ratio
hi = self._max_radius_ratio
# 3 configurations légèrement différentes — vote majoritaire
# Fonctionne sur fond sombre ET fond clair
configs = [
dict(param1=50, param2=30, minRadius=int(min(w,h)*0.26), maxRadius=int(min(w,h)*0.36)),
dict(param1=60, param2=30, minRadius=int(min(w,h)*0.26), maxRadius=int(min(w,h)*0.37)),
dict(param1=50, param2=28, minRadius=int(min(w,h)*0.25), maxRadius=int(min(w,h)*0.365)),
dict(param1=50, param2=30, minRadius=int(min(w,h)*lo), maxRadius=int(min(w,h)*hi)),
dict(param1=60, param2=28, minRadius=int(min(w,h)*lo), maxRadius=int(min(w,h)*(hi+0.01))),
dict(param1=50, param2=26, minRadius=int(min(w,h)*(lo-0.01)), maxRadius=int(min(w,h)*(hi+0.005))),
]
all_cx, all_cy, all_r = [], [], []
@@ -93,7 +108,7 @@ class TubeAligner:
if not all_cx:
msg = f"TubeAligner: aucun cercle détecté ({w}x{h})"
result["msg"] =msg
if self.debug:
if self.debug and self.draw_annotations:
frame_out = self._draw_debug_no_detection(frame_out, cx_img, cy_img)
result["frame_annotated"] = frame_out
return result
@@ -120,7 +135,7 @@ class TubeAligner:
else:
action = "grbl"
if self.debug:
if self.debug and self.draw_annotations:
frame_out = self._draw_debug(
frame_out, cx_img, cy_img,
tx, ty, tr,
+3
View File
@@ -70,6 +70,7 @@ def get_tmpfs_info(mount_point="/ramdisk"):
return f"{n:.1f}PB"
usage = None
part = None
for part in psutil.disk_partitions(all=True):
if part.mountpoint == mount_point and part.fstype.lower() == "tmpfs":
usage = psutil.disk_usage(part.mountpoint)
@@ -81,6 +82,7 @@ def get_tmpfs_info(mount_point="/ramdisk"):
print(f" Free: {usage.free} bytes ({sizeof(usage.free)})")
print(f" Percent used: {usage.percent}%")
break
if usage and part:
return {
"percent": usage.percent,
"mount": part.mountpoint,
@@ -92,6 +94,7 @@ def get_tmpfs_info(mount_point="/ramdisk"):
}
def get_cpu_info():
# cpu percent par coeur et moyennes load
return {
+7 -18
View File
@@ -33,12 +33,11 @@ class VideoFileCapture(VideoCaptureInterface):
def __init__(
self,
video_file: str = None,
video_file: str | None = None,
fps: float = VideoCaptureInterface.DEFAULT_FPS,
jpeg_quality: int = 85,
width: Optional[int] = None,
height: Optional[int] = None,
video_lists = [],
use_tracking: bool = False,
display = None,
parent = None,
@@ -50,33 +49,23 @@ class VideoFileCapture(VideoCaptureInterface):
:param width: Largeur souhaitée (None = valeur par défaut du pilote)
:param height: Hauteur souhaitée (None = valeur par défaut du pilote)
"""
super().__init__(fps=fps, use_tracking=use_tracking, display=display, parent=parent)
self._video_file: str = video_file
super().__init__(fps=fps, use_tracking=use_tracking, display=display, parent=parent, jpeg_quality=jpeg_quality)
self._video_file: str | None = video_file
self._jpeg_quality: int = jpeg_quality
self._width: Optional[int] = width
self._height: Optional[int] = height
self._video_lists = video_lists
self.ptf = 0
self._cap = None # Instance cv2.VideoCapture
def get_file(self):
if self._video_lists:
self._video_file = self._video_lists[self.ptf]
self.ptf += 1
if self.ptf >= len(self._video_lists):
self.ptf = 0
def set_video_file(self, vf):
self._video_file = vf
return self._video_file
# ------------------------------------------------------------------
# Implémentation des méthodes abstraites
# ------------------------------------------------------------------
def open(self) -> None:
"""Ouvre le flux V4L2 via OpenCV et configure la résolution."""
self.get_file()
self._cap = cv2.VideoCapture(self._video_file)
if not self._cap.isOpened():
@@ -145,8 +134,8 @@ class VideoFileCapture(VideoCaptureInterface):
# ------------------------------------------------------------------
@property
def video_file(self) -> int:
"""Index du périphérique V4L2."""
def video_file(self) -> str | None:
"""Fichier vidéo."""
return self._video_file
@property
@@ -0,0 +1,226 @@
"""
VideoPlateCapture — capture par extraction de région dans une vidéo plaque entière.
La vidéo montre l'ensemble de la plaque multi-puits (vue de dessus).
La position GRBL (x, y en mm) détermine la région extraite via px_per_mm.
Le résultat est un carré centré sur le puits courant, compatible avec
le recadrage circulaire de process_frame() comme pour toute autre capture.
Flux : video frame → crop carré (GRBL pos) → CircularCrop → tracking/display
Hot swap : set_video_file(path) remplace la vidéo sans arrêter la capture.
Thread-safe via _cap_lock.
"""
import os
os.environ['OPENCV_LOG_LEVEL'] = "0"
os.environ['OPENCV_FFMPEG_LOGLEVEL'] = "0"
import cv2
import numpy as np
import logging
import threading
from pathlib import Path
from modules.capture_interface import VideoCaptureInterface, CaptureError
logger = logging.getLogger(__name__)
class VideoPlateCapture(VideoCaptureInterface):
"""
Lecture d'une vidéo de plaque complète avec crop dynamique à la position GRBL.
La position GRBL (x_mm, y_mm) est convertie en coordonnées pixel via px_per_mm.
Un carré de côté 2*crop_radius_px est extrait à cette position, puis
process_frame() applique le masque circulaire habituel.
La vidéo boucle automatiquement. La cadence est adaptée via frame_step
pour correspondre au fps cible.
Calibration : set_px_per_mm() met à jour le facteur de conversion à chaud.
Hot swap : set_video_file(path) change la vidéo sans interruption.
"""
def __init__(
self,
video_dir,
fps: float = 5.0,
jpeg_quality: int = 90,
use_tracking: bool = False,
display=None,
parent=None,
crop_radius_px: int = 150,
px_per_mm: float = 15.0,
x_offset_mm: float = 0.0,
y_offset_mm: float = 0.0,
initial_video_path: str | None = None,
):
super().__init__(fps, use_tracking, display, parent, jpeg_quality)
self._video_dir = Path(video_dir)
self._cap: cv2.VideoCapture | None = None
self._cap_lock = threading.Lock()
self._video_path: Path | None = (
Path(initial_video_path) if initial_video_path else None
)
self._frame_w: int = 0
self._frame_h: int = 0
self._crop_radius_px: int = crop_radius_px
self._px_per_mm: float = px_per_mm
self._x_offset_mm: float = x_offset_mm
self._y_offset_mm: float = y_offset_mm
self._frame_step: int = 1
# ------------------------------------------------------------------
# API publique
# ------------------------------------------------------------------
def set_px_per_mm(self, px_per_mm: float) -> None:
"""Met à jour le facteur de conversion mm → pixel à chaud (depuis WellPosition)."""
self._px_per_mm = px_per_mm
logger.info(f"VideoPlateCapture: px_per_mm={px_per_mm:.3f}")
def set_crop_radius_px(self, r: int) -> None:
"""Met à jour le rayon de découpe en pixels à chaud (depuis MultiWell.crop_radius)."""
self._crop_radius_px = r
logger.info(f"VideoPlateCapture: crop_radius_px={r}")
def set_offset_mm(self, x_offset_mm: float, y_offset_mm: float) -> None:
"""Met à jour l'offset d'origine (xbase, ybase du MultiWell) à chaud."""
self._x_offset_mm = x_offset_mm
self._y_offset_mm = y_offset_mm
def set_video_file(self, path: str) -> None:
"""
Hot swap : remplace la vidéo courante sans arrêter la capture.
Thread-safe — peut être appelé depuis n'importe quel thread.
"""
new_cap = cv2.VideoCapture(path)
if not new_cap.isOpened():
logger.error(f"VideoPlateCapture hot swap: impossible d'ouvrir {path}")
return
new_w = int(new_cap.get(cv2.CAP_PROP_FRAME_WIDTH))
new_h = int(new_cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
nat_fps = new_cap.get(cv2.CAP_PROP_FPS) or self._fps
new_step = max(1, round(nat_fps / self._fps))
with self._cap_lock:
old_cap = self._cap
self._cap = new_cap
self._video_path = Path(path)
self._frame_w = new_w
self._frame_h = new_h
self._frame_step = new_step
if old_cap:
old_cap.release()
logger.info(f"VideoPlateCapture: hot swap → {Path(path).name} {new_w}×{new_h}")
@property
def video_path(self) -> Path | None:
return self._video_path
# ------------------------------------------------------------------
# Implémentation VideoCaptureInterface
# ------------------------------------------------------------------
def open(self) -> None:
path = self._video_path if (self._video_path and self._video_path.exists()) \
else self._find_video()
if path is None:
raise CaptureError(f"Aucune vidéo trouvée dans {self._video_dir}")
cap = cv2.VideoCapture(str(path))
if not cap.isOpened():
raise CaptureError(f"Impossible d'ouvrir {path.name}")
nat_fps = cap.get(cv2.CAP_PROP_FPS) or self._fps
with self._cap_lock:
self._cap = cap
self._video_path = path
self._frame_w = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH))
self._frame_h = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT))
self._frame_step = max(1, round(nat_fps / self._fps))
logger.info(
f"VideoPlateCapture: {path.name} {self._frame_w}×{self._frame_h} "
f"@ {nat_fps:.1f} fps → step={self._frame_step}, "
f"px_per_mm={self._px_per_mm:.2f}"
)
def close(self) -> None:
with self._cap_lock:
cap, self._cap = self._cap, None
if cap:
cap.release()
def is_available(self) -> bool:
with self._cap_lock:
return self._cap is not None and self._cap.isOpened()
def capture_frame(self) -> bytes:
with self._cap_lock:
if self._cap is None or not self._cap.isOpened():
raise CaptureError("Vidéo non disponible")
# Avancer dans la vidéo pour correspondre au fps cible
for _ in range(self._frame_step - 1):
self._cap.grab()
ret, frame = self._cap.read()
if not ret:
self._cap.set(cv2.CAP_PROP_POS_FRAMES, 0)
ret, frame = self._cap.read()
if not ret:
raise CaptureError("Impossible de relire la vidéo")
frame_w = self._frame_w
frame_h = self._frame_h
# Position GRBL (mm) → coordonnées pixel dans la vidéo plaque
grbl = getattr(self.parent, 'grbl', None) if self.parent else None
x_mm = float(getattr(grbl, 'x', None) or 0.0)
y_mm = float(getattr(grbl, 'y', None) or 0.0)
# À l'origine CNC (0, 0) : retourner la plaque entière à sa résolution native
if x_mm == 0.0 and y_mm == 0.0:
ok, buf = cv2.imencode('.jpg', frame, [cv2.IMWRITE_JPEG_QUALITY, self.jpeg_quality])
if not ok:
raise CaptureError("Encodage JPEG échoué")
return buf.tobytes()
cx = int((x_mm - self._x_offset_mm) * self._px_per_mm)
cy = int((y_mm - self._y_offset_mm) * self._px_per_mm)
r = self._crop_radius_px
# Extraction du carré centré sur le puits courant
x1 = max(0, cx - r)
y1 = max(0, cy - r)
x2 = min(frame_w, cx + r)
y2 = min(frame_h, cy + r)
crop = frame[y1:y2, x1:x2]
# Padding noir si le crop déborde du bord de la vidéo
if crop.shape[0] != 2 * r or crop.shape[1] != 2 * r:
padded = np.zeros((2 * r, 2 * r, 3), dtype=np.uint8)
padded[:crop.shape[0], :crop.shape[1]] = crop
crop = padded
ok, buf = cv2.imencode('.jpg', crop, [cv2.IMWRITE_JPEG_QUALITY, self.jpeg_quality])
if not ok:
raise CaptureError("Encodage JPEG échoué")
return buf.tobytes()
# ------------------------------------------------------------------
# Privé
# ------------------------------------------------------------------
def _find_video(self) -> Path | None:
"""Retourne le premier fichier vidéo trouvé dans video_dir."""
self._video_dir.mkdir(parents=True, exist_ok=True)
for ext in ('*.mp4', '*.avi', '*.MP4', '*.AVI'):
files = sorted(self._video_dir.glob(ext))
if files:
return files[0]
return None
+1 -1
View File
@@ -49,7 +49,7 @@ class WebcamCapture(VideoCaptureInterface):
:param width: Largeur souhaitée (None = valeur par défaut du pilote)
:param height: Hauteur souhaitée (None = valeur par défaut du pilote)
"""
super().__init__(fps=fps, use_tracking=use_tracking, display=display, parent=parent)
super().__init__(fps=fps, use_tracking=use_tracking, display=display, parent=parent, jpeg_quality=jpeg_quality)
self._device_index: int = device_index
self._jpeg_quality: int = jpeg_quality
self._width: Optional[int] = width
+16 -11
View File
@@ -8,29 +8,34 @@ from .models import ExperimentConfig
@admin.register(ExperimentConfig)
class ExperimentConfigAdmin(admin.ModelAdmin):
"""Admin Django pour les configurations d'expérience."""
readonly_fields = ('experiment', )
list_display = ("experiment", "well", "px_per_mm", "fps",
readonly_fields = ('experiment', 'px_per_mm', 'fps', 'well_radius_mm',)
list_display = ("experiment_key", "well", "active", "planarian_count", "px_per_mm", "fps",
"thresh_immobile", "thresh_mobile",
"photo_mode", "chemo_strength", "created_at")
list_filter = ("photo_mode", "tube_axis")
search_fields = ("experiment", "well", "description")
"photo_mode", "chemo_strength", "created_at", )
list_filter = ("experiment_key__session_experiments__session", "experiment_key", "photo_mode", "thigmotaxis_wall_dist_mm", "planarian_count")
search_fields = ("experiment_key", "well_name", "description")
ordering = ("-created_at",)
fieldsets = (
(_("Identification"), {
"fields": ("experiment", "well", "description"),
"fields": ("experiment_key", "well", "active", "description"),
}),
(_("Calibration optique"), {
(_("Calibration optique: générée lors de la calibration"), {
"fields": ("px_per_mm", "fps", "well_radius_mm"),
"classes": ("collapse",),
}),
(_("Seuils de mobilité EthoVision"), {
"fields": ("thresh_immobile", "thresh_mobile"),
"classes": ("collapse",),
}),
(_("Tracker"), {
"fields": ("tube_axis", "min_area_px", "planarian_count"),
"fields": ("tube_axis", "min_area_px", "max_area_ratio", "planarian_count", "merge_kernel_size", "min_contour_dist_px"),
"classes": ("collapse",),
}),
(_("Thigmotactisme"), {
"fields": ("thigmotaxis_wall_dist_mm",),
"classes": ("collapse",),
}),
(_("Phototactisme"), {
"fields": ("photo_mode", "photo_strength", "photo_x", "photo_y"),
@@ -52,19 +57,19 @@ class ExperimentConfigAdmin(admin.ModelAdmin):
@admin.action(description=_("Exporter un template CSV de ces configurations"))
def export_csv_template(self, request, queryset):
import csv
from django.http import HttpResponse
from django.http import FileResponse
from io import StringIO
output = StringIO()
fields = [f.name for f in ExperimentConfig._meta.fields if f.name != "id"] # @UndefinedVariable
writer = csv.DictWriter(output, fieldnames=fields)
writer.writeheader()
for obj in queryset:
row = {f: getattr(obj, f) for f in fields}
writer.writerow(row)
response = HttpResponse(output.getvalue(), content_type="text/csv")
response = FileResponse(output.getvalue(), content_type='text/csv')
response["Content-Disposition"] = 'attachment; filename="experiment_configs.csv"'
return response
@@ -0,0 +1,68 @@
import logging
import asyncio
from asgiref.sync import async_to_sync
from django.conf import settings
from modules.planarian_metrics import ReductStoreClient
logger = logging.getLogger(__name__)
def _get_reduct_client() -> ReductStoreClient:
"""Instancie le client ReductStore depuis les settings Django."""
return ReductStoreClient(url=settings.REDUCTSTORE_URL, token=settings.REDUCTSTORE_TOKEN)
def export_csv_sync(
*,
experiment,
well,
uuid,
planarian,
record_type,
start=None,
stop=None,
):
#@async_to_sync
async def _run():
client = _get_reduct_client()
await client.connect()
return await client.export_csv_response(
experiment=experiment,
well=well,
uuid=uuid,
planarian=planarian,
record_type=record_type,
start=start,
stop=stop,
)
#return _run()
return asyncio.run(_run())
def export_csv_file_sync(
*,
experiment,
well,
uuid,
planarian,
record_type,
):
async def _run():
client = _get_reduct_client()
await client.connect()
try:
return await client.export_csv(
experiment=experiment,
well=well,
uuid=uuid,
planarian=planarian,
record_type=record_type,
output_dir=settings.CSV_EXPORT_DIR,
)
finally:
await client.close()
return asyncio.run(_run())
-91
View File
@@ -1,91 +0,0 @@
# planarian/forms.py
import csv
import io
from django import forms
from django.utils.translation import gettext_lazy as _
from .models import ExperimentConfig
class ExperimentConfigForm(forms.ModelForm):
"""Formulaire de saisie/modification d'un ExperimentConfig."""
class Meta:
model = ExperimentConfig
fields = "__all__"
widgets = {
"description": forms.Textarea(attrs={"rows": 3}),
}
def clean(self):
cleaned = super().clean()
if cleaned.get("thresh_immobile", 0) >= cleaned.get("thresh_mobile", 1):
raise forms.ValidationError(
_("Le seuil Immobile doit être inférieur au seuil Mobile.")
)
if cleaned.get("avoid_radius_mm", 0) >= cleaned.get("aggreg_radius_mm", 1):
raise forms.ValidationError(
_("Le rayon d'évitement doit être inférieur au rayon d'agrégation.")
)
return cleaned
class CsvImportForm(forms.Form):
"""Formulaire d'import de paramètres depuis un fichier CSV."""
csv_file = forms.FileField(
label=_("Fichier CSV"),
help_text=_(
"Colonnes obligatoires : experiment, well, px_per_mm, fps. "
"Toutes les autres colonnes sont optionnelles."
),
)
overwrite = forms.BooleanField(
required=False,
initial=False,
label=_("Écraser les configurations existantes"),
)
def clean_csv_file(self):
f = self.cleaned_data["csv_file"]
try:
content = f.read().decode("utf-8")
reader = csv.DictReader(io.StringIO(content))
rows = list(reader)
except Exception as e:
raise forms.ValidationError(_("Fichier CSV invalide : %(err)s") % {"err": e})
required = {"experiment", "well", "px_per_mm", "fps"}
if rows:
missing = required - set(rows[0].keys())
if missing:
raise forms.ValidationError(
_("Colonnes manquantes : %(cols)s") % {"cols": ", ".join(missing)}
)
self.csv_rows = rows
return f
class ExportCsvForm(forms.Form):
"""Formulaire de demande d'export CSV depuis ReductStore."""
experiment = forms.CharField(label=_("Expérience"), max_length=100)
well = forms.CharField(label=_("Puits"), max_length=20)
planarian = forms.IntegerField(label=_("Index planaire"), initial=0, min_value=0)
record_type = forms.ChoiceField(
label=_("Type d'enregistrement"),
choices=[("frame", _("Frame par frame")), ("summary", _("Résumé"))],
initial="frame",
)
start_dt = forms.DateTimeField(
label=_("Début (UTC)"),
required=False,
widget=forms.DateTimeInput(attrs={"type": "datetime-local"}),
)
stop_dt = forms.DateTimeField(
label=_("Fin (UTC)"),
required=False,
widget=forms.DateTimeInput(attrs={"type": "datetime-local"}),
)
@@ -0,0 +1,56 @@
# Generated by Django 6.0.5 on 2026-05-31 07:42
import django.db.models.deletion
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='ExperimentConfig',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('experiment', models.CharField(default='Identifier', max_length=128, null=True, verbose_name='Identifiant expérience')),
('well', models.CharField(choices=[], default='A1', help_text='Nom du puit', max_length=8, null=True, verbose_name='Puit')),
('description', models.TextField(blank=True, default='-', verbose_name='Description')),
('created_at', models.DateTimeField(auto_now_add=True, verbose_name='Créé le')),
('active', models.BooleanField(default=True, verbose_name='Active')),
('px_per_mm', models.FloatField(default=26.25, help_text='Facteur de calibration optique', verbose_name='Pixels par mm')),
('fps', models.FloatField(default=5.0, help_text='Image de capture en img/s', verbose_name='FPS de capture')),
('well_radius_mm', models.FloatField(default=8.0, help_text='En mm', verbose_name='Rayon du puits')),
('thresh_immobile', models.FloatField(default=0.2, verbose_name='Seuil Immobile (mm/s)')),
('thresh_mobile', models.FloatField(default=1.5, verbose_name='Seuil Mobile (mm/s)')),
('tube_axis', models.CharField(choices=[('vertical', 'Vertical'), ('horizontal', 'Horizontal')], default='vertical', max_length=10, verbose_name='Axe du tube')),
('min_area_px', models.IntegerField(default=20, verbose_name='Surface min détection (px²)')),
('max_area_ratio', models.FloatField(default=0.1, help_text='Ratio de la surface du puits, ex: 0.10 pour 10%', verbose_name='Surface max contour (fraction de la frame)')),
('planarian_count', models.IntegerField(default=1, verbose_name='Nombre de planaires')),
('merge_kernel_size', models.PositiveIntegerField(default=15, help_text='taille du kernel elliptique de fusion des fragments (px). Augmenter si fragments résiduels', verbose_name='Taille du kernel')),
('min_contour_dist_px', models.PositiveIntegerField(default=40, help_text='Distance min entre deux contours pour les considérer comme individus distincts. Défaut : 40px. Augmenter si IDs multiples persistent', verbose_name='Distance <contour>')),
('thigmotaxis_wall_dist_mm', models.FloatField(default=1.0, verbose_name='Distance paroi thigmotactisme (mm)')),
('photo_mode', models.CharField(choices=[('none', 'Désactivé'), ('fixed', 'Source fixe'), ('sine', 'Source sinusoïdale'), ('radial', 'Gradient radial')], default='none', max_length=10, verbose_name='Mode phototactisme')),
('photo_strength', models.FloatField(default=0.0, verbose_name='Intensité phototactisme')),
('photo_x', models.FloatField(default=0.5, verbose_name='Source lumière X (0-1)')),
('photo_y', models.FloatField(default=0.5, verbose_name='Source lumière Y (0-1)')),
('chemo_strength', models.FloatField(default=0.0, verbose_name='Intensité chimiotactisme')),
('chemo_x', models.FloatField(default=0.5, verbose_name='Nourriture X (0-1)')),
('chemo_y', models.FloatField(default=0.5, verbose_name='Nourriture Y (0-1)')),
('chemo_radius_mm', models.FloatField(default=2.0, verbose_name='Rayon nourriture (mm)')),
('avoid_radius_mm', models.FloatField(default=3.0, verbose_name='Rayon évitement (mm)')),
('aggreg_radius_mm', models.FloatField(default=6.0, verbose_name='Rayon agrégation (mm)')),
('author', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, verbose_name='Auteur')),
],
options={
'verbose_name': "Configuration d'une expérience",
'verbose_name_plural': 'Configurations des expériences',
'ordering': ['-created_at'],
},
),
]
@@ -0,0 +1,26 @@
# Generated by Django 6.0.5 on 2026-05-31 07:42
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('planarian', '0001_initial'),
('scanner', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='experimentconfig',
name='experiment_key',
field=models.ForeignKey(null=True, on_delete=django.db.models.deletion.CASCADE, to='scanner.experiment', verbose_name='Expérience'),
),
migrations.AlterUniqueTogether(
name='experimentconfig',
unique_together={('experiment_key', 'well')},
),
]
+56 -45
View File
@@ -1,13 +1,17 @@
# planarian/models.py
from django.db import models
from django.dispatch import receiver
from django.db.models.signals import post_save
from django.conf import settings
#from django.conf import settings
from django.utils.translation import gettext_lazy as _
from django.contrib.auth.models import User
from scanner.models import Experiment, Well, WellPosition
from scanner.constants import ScannerConstants
from scanner.models import Experiment, Well
WELL_CHOICES = []
def get_well_choices():
wells = Well.objects.order_by('name').all()
for well in wells:
WELL_CHOICES.append((well.name, well.name))
class ExperimentConfig(models.Model):
"""
@@ -15,22 +19,15 @@ class ExperimentConfig(models.Model):
Peut être créé depuis Django admin, une vue formulaire ou un import CSV.
"""
author = models.ForeignKey(User, on_delete=models.CASCADE, verbose_name="Auteur", null=True, blank=True)
experiment_key = models.ForeignKey(Experiment, verbose_name="Expérience", on_delete=models.CASCADE, null=True, blank=False)
experiment = models.CharField(_("Identifiant expérience"), max_length=128, null=True, blank=False, default='Identifier' )
well = models.CharField(_("Puit"), help_text=_("Nom du puit"), max_length=8, choices=WELL_CHOICES, null=True, blank=False, default='A1' )
# --- Identification ---
idendifier = models.CharField(
max_length=100,
verbose_name=_("Identifiant d'expérience"),
help_text=_("Ex : exp_2026_04_25_ctrl"),
)
description = models.TextField( blank=True, verbose_name=_("Description"), default="-")
experiment = models.ForeignKey(Experiment, on_delete=models.CASCADE, related_name="experiment_well" , null=True, blank=True)
well = models.ForeignKey(Well, verbose_name="Puit", on_delete=models.CASCADE, related_name="well_experiment", null=True, blank=True )
description = models.TextField(
blank=True,
verbose_name=_("Description"),
)
created_at = models.DateTimeField(auto_now_add=True, verbose_name=_("Créé le"))
active = models.BooleanField(_("Active"), default=True)
# --- Calibration optique ---
# px_per_mm, fps, well_radius_mm
@@ -42,10 +39,12 @@ class ExperimentConfig(models.Model):
fps = models.FloatField(
default=5.0,
verbose_name=_("FPS de capture"),
help_text=_("Image de capture en img/s"),
)
well_radius_mm = models.FloatField(
default=8.0,
verbose_name=_("Rayon du puits (mm)"),
verbose_name=_("Rayon du puits"),
help_text=_("En mm"),
)
# --- Seuils de mobilité EthoVision ---
@@ -69,11 +68,30 @@ class ExperimentConfig(models.Model):
default=20,
verbose_name=_("Surface min détection (px²)"),
)
max_area_ratio = models.FloatField(
default=0.10,
verbose_name=_("Surface max contour (fraction de la frame)"),
help_text=_("Ratio de la surface du puits, ex: 0.10 pour 10%"),
)
planarian_count = models.IntegerField(
default=1,
verbose_name=_("Nombre de planaires"),
)
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
)
# --- Thigmotactisme ---
thigmotaxis_wall_dist_mm = models.FloatField(
default=1.0,
@@ -107,23 +125,33 @@ class ExperimentConfig(models.Model):
avoid_radius_mm = models.FloatField(default=3.0, verbose_name=_("Rayon évitement (mm)"))
aggreg_radius_mm = models.FloatField(default=6.0, verbose_name=_("Rayon agrégation (mm)"))
class Meta:
verbose_name = _("Configuration expérience")
verbose_name_plural = _("Configurations expériences")
unique_together = ("experiment", "well")
verbose_name = _("Configuration d'une expérience")
verbose_name_plural = _("Configurations des expériences")
unique_together = ("experiment_key", "well")
ordering = ["-created_at"]
def __str__(self):
return f"{self.experiment} / {self.well.name}"
return f"{self.experiment_key}:{self.well}"
def save(self, *args, **kwargs):
if not self.author:
self.author = self.experiment_key.author
self.experiment = self.experiment_key.identifier
super().save(*args, **kwargs)
def get_session(self):
return self.experiment.session_experiments.first() if self.experiment else None
se = self.experiment_key.session_experiments.first() if self.experiment_key else None
return se.session
def to_params_dict(self) -> dict:
"""Retourne un dict compatible avec ExperimentParams."""
return {
"experiment": self.idendifier,
"well": self.well.name,
"experiment": self.experiment,
"well": self.well,
"px_per_mm": self.px_per_mm,
"fps": self.fps,
"well_radius_mm": self.well_radius_mm,
@@ -131,6 +159,9 @@ class ExperimentConfig(models.Model):
"thresh_mobile": self.thresh_mobile,
"tube_axis": self.tube_axis,
"min_area_px": self.min_area_px,
"max_area_ratio": self.max_area_ratio,
"merge_kernel_size": self.merge_kernel_size,
"min_contour_dist_px": self.min_contour_dist_px,
"planarian_count": self.planarian_count,
"thigmotaxis_wall_dist_mm": self.thigmotaxis_wall_dist_mm,
"photo_mode": self.photo_mode,
@@ -143,23 +174,3 @@ class ExperimentConfig(models.Model):
"aggreg_radius_mm": self.aggreg_radius_mm,
}
def save(self, *args, **kwargs):
session = self.get_session()
position = self.experiment.multiwell.position
dte = self.experiment.multiwell.finished.isoformat()
self.idendifier = f'{session}-{position}-{self.well.name}-{dte}'
super().save(*args, **kwargs)
@receiver(post_save, sender=ExperimentConfig)
def create_well_position(sender, instance, created, **kwargs):
active_well = WellPosition.active_well(instance.multiwel, instance.well)
instance.px_per_mm = active_well.px_per_mm
instance.well_radius_mm = instance.experiment.multiwell.diameter / 2
conf = ScannerConstants().get()
instance.fps = conf.video_frame_rate
instance.save()
@@ -0,0 +1,12 @@
.multiwell_cards {
display: grid;
grid-template-columns: repeat(6, 1fr);
justify-items: center;
align-items: center;
}
button.multiwell {
padding: 0.2em ;
}
+80
View File
@@ -0,0 +1,80 @@
# tasks.py
from celery import shared_task, group
from celery.utils.log import get_task_logger
from scanner.models import SessionExperiment, get_uuid_from_session, Experiment
from .models import ExperimentConfig
from .export_service import export_csv_file_sync
logger = get_task_logger(__name__)
@shared_task(bind=True, autoretry_for=(Exception,), retry_backoff=True, retry_kwargs={"max_retries": 3},)
def export_single_metric(self, *, experiment, well, uuid, planarian, record_type,):
"""
Exporte UN fichier CSV.
"""
logger.info( f"Export start {experiment} {well} {planarian} {record_type}")
f, n = export_csv_file_sync(
experiment=experiment,
well=well,
uuid=uuid,
planarian=planarian,
record_type=record_type,
)
logger.info( f"Export done {f} ({n} rows)" )
return {"file": f, "rows": n, }
@shared_task
def export_experiment_metrics_task(experiment_id):
experiment = Experiment.objects.filter(pk=experiment_id).first()
if not experiment:
return
jobs = []
configs = (ExperimentConfig.objects.filter(experiment_key_id=experiment.pk).order_by("well"))
for conf in configs:
well = conf.well
count = conf.planarian_count
session = conf.get_session()
uuid = get_uuid_from_session(session.id, conf.experiment_key.multiwell.position, well, )
for record_type in ["frame", "summary"]:
for planarian in range(count):
'''
jobs.append(
export_single_metric.s(
experiment=experiment.identifier,
well=well,
uuid=uuid,
planarian=planarian,
record_type=record_type,
)
)
'''
try:
f, n = export_csv_file_sync(
experiment=experiment.identifier,
well=well,
uuid=uuid,
planarian=planarian,
record_type=record_type,
)
logger.info( f"Export done {f} ({n} rows)" )
except Exception as e:
logger.exception(e)
'''
result = group(jobs).apply_async()
logger.info(f"{len(jobs)} exports launched group_id={result.id}")
return {"group_id": result.id,"jobs": len(jobs), }'''
@shared_task
def export_session_metrics_task(session_id):
experiments = SessionExperiment.experiment_by_session(session_id, active=False)
for experiment in experiments:
export_experiment_metrics_task.delay(experiment.id)
@@ -0,0 +1,76 @@
{% extends "scanner/base.html" %}
{% load i18n home_tags %}
{% block styles %}
{{ block.super }}
<link href="/static/planarian/css/planarian.css" rel="stylesheet">
{% endblock %}
{% block columns %}{% endblock %}
{% block sidebar_list %}
<a href="/" class="w3-bar-item w3-btn w3-hover-opacity"><i class="fa-solid fa-house w3-text-orange w3-xlarge"></i> {% trans "Retour accueil" %}</a>
<form method="post" class="w3-bar-item" action="">
{% csrf_token %}
<select id="_sid" name="_sid" class="w3-select w3-margin-bottom" onchange="this.form.submit()" title="{% trans "Ensemble d'expériences" %}">
<option value="0">---- {% trans "Session" %}</option>
{% for s in sessions %}
<option value="{{ s.id }}" {% if s.id == current_session.id %}selected{% endif %}>{{ s }}</option>
{% endfor %}
</select>
<div class="w3-margin-left w3-margin-bottom">
{% include "scanner/experiment-inc.html" %}
</div>
</form>
{% block export_csv %}
{% if current_session and current_experiment %}
{% url "planarian:api-export-csv" as url_export %}
<a href="#" class="w3-bar-item w3-btn w3-hover-opacity" onclick="export_csv('{{ url_export }}', {{ current_experiment.id }}, 'experiment_csv')">
<i class="fa-solid fa-file-export w3-text-red w3-xlarge"></i> {% trans "Exporter les metrics de l'expérience" %}<br>
<span class="w3-margin-left-5">&nbsp;$> {{ export_csv_destination }}
</a>
<a href="#" class="w3-bar-item w3-btn w3-hover-opacity" onclick="export_csv('{{ url_export }}', {{ current_session.id }}, 'session_csv')">
<i class="fa-solid fa-file-export w3-text-pink w3-xxlarge"></i> {% trans "Exporter les metrics de la session" %}<br>
<span class="w3-margin-left-5">&nbsp;$> {{ export_csv_destination }}
</a>
{% endif %}
{% endblock %}
{% endblock %}
{% block js_footer %}
{{ block.super }}
<script>
const export_msg = "{% trans "Confirmer l'export des vidéos. ATTENTION le processus peut être long!" %}";
// Auto-dismiss messages after 5 seconds
document.addEventListener('DOMContentLoaded', function() {
const messages = document.querySelectorAll('.alert');
messages.forEach(function(message) {
setTimeout(function() {
// Fade out effect
message.style.transition = 'opacity 0.5s ease-out';
message.style.opacity = '0';
// Remove from DOM after fade
setTimeout(function() {
message.remove();
}, 500);
}, 15000); // 15 seconds
});
});
function export_csv(url, pid, mode) {
csrfFetch(url, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({
action: mode,
pid: pid,
})
})
.then(response => response.json())
.then(res => { alert(res.msg); })
.catch(error => { console.error('Erreur:', error); });
}
</script>
{% endblock %}
@@ -1,503 +0,0 @@
{% extends "scanner/base.html" %}
{% load i18n %}
{% block content %}
<div class="w3-container w3-padding-32" style="max-width:960px; margin:auto;">
<!-- En-tête de la page -->
<div class="w3-panel w3-teal w3-round-large w3-padding-16" style="margin-bottom:2rem;">
<div class="w3-row w3-bar-item">
<span class="w3-xlarge">
<i class="w3-margin-right">🔬</i>
{% if object %}
{% trans "Modifier la configuration" %} — {{ object }}
{% else %}
{% trans "Nouvelle configuration d'expérience" %}
{% endif %}
</span>
</div>
</div>
<!-- Messages Django -->
{% for message in messages %}
<div class="w3-panel w3-round
{% if message.tags == 'success' %}w3-green
{% elif message.tags == 'error' %}w3-red
{% elif message.tags == 'warning' %}w3-orange
{% else %}w3-blue{% endif %}">
<p>{{ message }}</p>
</div>
{% endfor %}
<form method="post" novalidate>
{% csrf_token %}
<!-- Erreurs globales du formulaire -->
{% if form.non_field_errors %}
<div class="w3-panel w3-red w3-round">
{% for error in form.non_field_errors %}
<p>⚠ {{ error }}</p>
{% endfor %}
</div>
{% endif %}
<!-- ============================================================
Section 1 : Identification
============================================================ -->
<div class="w3-card-4 w3-round-large w3-margin-bottom">
<header class="w3-container w3-teal w3-round-top-large">
<h3 class="w3-text-white">{% trans "Identification" %}</h3>
</header>
<div class="w3-container w3-padding-24">
<div class="w3-row-padding">
<!-- Experiment -->
<div class="w3-col m6 s12 w3-margin-bottom">
<label class="w3-text-teal"><b>{{ form.experiment.label }}</b></label>
{% if form.experiment.help_text %}
<p class="w3-small w3-text-grey" style="margin:0 0 4px;">{{ form.experiment.help_text }}</p>
{% endif %}
{{ form.experiment }}
{% if form.experiment.errors %}
<span class="w3-text-red w3-small">{{ form.experiment.errors|join:", " }}</span>
{% endif %}
</div>
<!-- Well -->
<div class="w3-col m6 s12 w3-margin-bottom">
<label class="w3-text-teal"><b>{{ form.well.label }}</b></label>
{% if form.well.help_text %}
<p class="w3-small w3-text-grey" style="margin:0 0 4px;">{{ form.well.help_text }}</p>
{% endif %}
{{ form.well }}
{% if form.well.errors %}
<span class="w3-text-red w3-small">{{ form.well.errors|join:", " }}</span>
{% endif %}
</div>
</div>
<!-- Description -->
<div class="w3-margin-bottom">
<label class="w3-text-teal"><b>{{ form.description.label }}</b></label>
{{ form.description }}
{% if form.description.errors %}
<span class="w3-text-red w3-small">{{ form.description.errors|join:", " }}</span>
{% endif %}
</div>
</div>
</div>
<!-- ============================================================
Section 2 : Calibration optique
============================================================ -->
<div class="w3-card-4 w3-round-large w3-margin-bottom">
<header class="w3-container w3-blue-grey w3-round-top-large">
<h3 class="w3-text-white">{% trans "Calibration optique" %}</h3>
</header>
<div class="w3-container w3-padding-24">
<div class="w3-row-padding">
<div class="w3-col m4 s12 w3-margin-bottom">
<label class="w3-text-blue-grey"><b>{{ form.px_per_mm.label }}</b></label>
{% if form.px_per_mm.help_text %}
<p class="w3-small w3-text-grey" style="margin:0 0 4px;">{{ form.px_per_mm.help_text }}</p>
{% endif %}
{{ form.px_per_mm }}
{% if form.px_per_mm.errors %}
<span class="w3-text-red w3-small">{{ form.px_per_mm.errors|join:", " }}</span>
{% endif %}
</div>
<div class="w3-col m4 s12 w3-margin-bottom">
<label class="w3-text-blue-grey"><b>{{ form.fps.label }}</b></label>
{{ form.fps }}
{% if form.fps.errors %}
<span class="w3-text-red w3-small">{{ form.fps.errors|join:", " }}</span>
{% endif %}
</div>
<div class="w3-col m4 s12 w3-margin-bottom">
<label class="w3-text-blue-grey"><b>{{ form.well_radius_mm.label }}</b></label>
{{ form.well_radius_mm }}
{% if form.well_radius_mm.errors %}
<span class="w3-text-red w3-small">{{ form.well_radius_mm.errors|join:", " }}</span>
{% endif %}
</div>
</div>
</div>
</div>
<!-- ============================================================
Section 3 : Seuils de mobilité EthoVision
============================================================ -->
<div class="w3-card-4 w3-round-large w3-margin-bottom">
<header class="w3-container w3-indigo w3-round-top-large">
<h3 class="w3-text-white">{% trans "Seuils de mobilité EthoVision XT" %}</h3>
</header>
<div class="w3-container w3-padding-24">
<!-- Visualisation des seuils -->
<div class="w3-light-grey w3-round w3-margin-bottom" style="height:32px; position:relative; overflow:hidden;">
<div style="position:absolute; left:0; width:13%; height:100%; background:#c0392b; display:flex; align-items:center; justify-content:center;">
<span class="w3-small w3-text-white"><b>{% trans "Immobile" %}</b></span>
</div>
<div style="position:absolute; left:13%; width:27%; height:100%; background:#e67e22; display:flex; align-items:center; justify-content:center;">
<span class="w3-small w3-text-white"><b>{% trans "Mobile" %}</b></span>
</div>
<div style="position:absolute; left:40%; right:0; height:100%; background:#27ae60; display:flex; align-items:center; justify-content:center;">
<span class="w3-small w3-text-white"><b>{% trans "Très mobile" %}</b></span>
</div>
</div>
<p class="w3-small w3-text-grey" style="margin-top:-8px; margin-bottom:16px;">
{% trans "Représentation indicative des zones de mobilité (défauts EthoVision : 0.2 / 1.5 mm/s)" %}
</p>
<div class="w3-row-padding">
<div class="w3-col m6 s12 w3-margin-bottom">
<label class="w3-text-indigo"><b>{{ form.thresh_immobile.label }}</b></label>
<p class="w3-small w3-text-grey" style="margin:0 0 4px;">{% trans "En-dessous : Immobile (mm/s)" %}</p>
{{ form.thresh_immobile }}
{% if form.thresh_immobile.errors %}
<span class="w3-text-red w3-small">{{ form.thresh_immobile.errors|join:", " }}</span>
{% endif %}
</div>
<div class="w3-col m6 s12 w3-margin-bottom">
<label class="w3-text-indigo"><b>{{ form.thresh_mobile.label }}</b></label>
<p class="w3-small w3-text-grey" style="margin:0 0 4px;">{% trans "En-dessous : Mobile, au-delà : Très mobile (mm/s)" %}</p>
{{ form.thresh_mobile }}
{% if form.thresh_mobile.errors %}
<span class="w3-text-red w3-small">{{ form.thresh_mobile.errors|join:", " }}</span>
{% endif %}
</div>
</div>
</div>
</div>
<!-- ============================================================
Section 4 : Tracker
============================================================ -->
<div class="w3-card-4 w3-round-large w3-margin-bottom">
<header class="w3-container w3-dark-grey w3-round-top-large">
<h3 class="w3-text-white">{% trans "Tracker" %}</h3>
</header>
<div class="w3-container w3-padding-24">
<div class="w3-row-padding">
<div class="w3-col m4 s12 w3-margin-bottom">
<label class="w3-text-dark-grey"><b>{{ form.tube_axis.label }}</b></label>
{{ form.tube_axis }}
{% if form.tube_axis.errors %}
<span class="w3-text-red w3-small">{{ form.tube_axis.errors|join:", " }}</span>
{% endif %}
</div>
<div class="w3-col m4 s12 w3-margin-bottom">
<label class="w3-text-dark-grey"><b>{{ form.min_area_px.label }}</b></label>
{{ form.min_area_px }}
{% if form.min_area_px.errors %}
<span class="w3-text-red w3-small">{{ form.min_area_px.errors|join:", " }}</span>
{% endif %}
</div>
<div class="w3-col m4 s12 w3-margin-bottom">
<label class="w3-text-dark-grey"><b>{{ form.planarian_count.label }}</b></label>
{{ form.planarian_count }}
{% if form.planarian_count.errors %}
<span class="w3-text-red w3-small">{{ form.planarian_count.errors|join:", " }}</span>
{% endif %}
</div>
</div>
</div>
</div>
<!-- ============================================================
Section 5 : Comportements (accordéon W3.CSS)
============================================================ -->
<div class="w3-card-4 w3-round-large w3-margin-bottom">
<header class="w3-container w3-teal w3-round-top-large">
<h3 class="w3-text-white">{% trans "Comportements" %}</h3>
</header>
<!-- --- Thigmotactisme --- -->
<div class="w3-container w3-padding-16 w3-border-bottom">
<button type="button" class="w3-button w3-block w3-left-align w3-hover-light-grey"
onclick="toggleSection('thigmo')">
<span class="w3-large">🫧</span>
<b class="w3-margin-left">{% trans "Thigmotactisme" %}</b>
<span class="w3-small w3-text-grey w3-margin-left">
{% trans "Attraction vers la paroi du puits" %}
</span>
<span id="thigmo-icon" class="w3-right"></span>
</button>
<div id="thigmo" class="w3-padding-top">
<div class="w3-row-padding">
<div class="w3-col m6 s12">
<label class="w3-text-teal"><b>{{ form.thigmotaxis_wall_dist_mm.label }}</b></label>
<p class="w3-small w3-text-grey" style="margin:0 0 4px;">
{% trans "Distance à la paroi considérée « près du bord » (mm)" %}
</p>
{{ form.thigmotaxis_wall_dist_mm }}
{% if form.thigmotaxis_wall_dist_mm.errors %}
<span class="w3-text-red w3-small">{{ form.thigmotaxis_wall_dist_mm.errors|join:", " }}</span>
{% endif %}
</div>
</div>
</div>
</div>
<!-- --- Phototactisme --- -->
<div class="w3-container w3-padding-16 w3-border-bottom">
<button type="button" class="w3-button w3-block w3-left-align w3-hover-light-grey"
onclick="toggleSection('photo')">
<span class="w3-large">💡</span>
<b class="w3-margin-left">{% trans "Phototactisme" %}</b>
<span class="w3-small w3-text-grey w3-margin-left">
{% trans "Fuite de la lumière" %}
</span>
<span id="photo-icon" class="w3-right"></span>
</button>
<div id="photo" class="w3-hide w3-padding-top">
<div class="w3-row-padding">
<div class="w3-col m6 s12 w3-margin-bottom">
<label class="w3-text-teal"><b>{{ form.photo_mode.label }}</b></label>
{{ form.photo_mode }}
{% if form.photo_mode.errors %}
<span class="w3-text-red w3-small">{{ form.photo_mode.errors|join:", " }}</span>
{% endif %}
</div>
<div class="w3-col m6 s12 w3-margin-bottom">
<label class="w3-text-teal"><b>{{ form.photo_strength.label }}</b></label>
<p class="w3-small w3-text-grey" style="margin:0 0 4px;">{% trans "0.0 = désactivé → 1.0 = fort" %}</p>
{{ form.photo_strength }}
{% if form.photo_strength.errors %}
<span class="w3-text-red w3-small">{{ form.photo_strength.errors|join:", " }}</span>
{% endif %}
</div>
<div class="w3-col m6 s12 w3-margin-bottom">
<label class="w3-text-teal"><b>{{ form.photo_x.label }}</b></label>
{{ form.photo_x }}
{% if form.photo_x.errors %}
<span class="w3-text-red w3-small">{{ form.photo_x.errors|join:", " }}</span>
{% endif %}
</div>
<div class="w3-col m6 s12 w3-margin-bottom">
<label class="w3-text-teal"><b>{{ form.photo_y.label }}</b></label>
{{ form.photo_y }}
{% if form.photo_y.errors %}
<span class="w3-text-red w3-small">{{ form.photo_y.errors|join:", " }}</span>
{% endif %}
</div>
</div>
</div>
</div>
<!-- --- Chimiotactisme --- -->
<div class="w3-container w3-padding-16 w3-border-bottom">
<button type="button" class="w3-button w3-block w3-left-align w3-hover-light-grey"
onclick="toggleSection('chemo')">
<span class="w3-large">🍖</span>
<b class="w3-margin-left">{% trans "Chimiotactisme" %}</b>
<span class="w3-small w3-text-grey w3-margin-left">
{% trans "Attraction vers une source de nourriture" %}
</span>
<span id="chemo-icon" class="w3-right"></span>
</button>
<div id="chemo" class="w3-hide w3-padding-top">
<div class="w3-row-padding">
<div class="w3-col m4 s12 w3-margin-bottom">
<label class="w3-text-teal"><b>{{ form.chemo_strength.label }}</b></label>
<p class="w3-small w3-text-grey" style="margin:0 0 4px;">{% trans "0.0 = désactivé → 1.0 = fort" %}</p>
{{ form.chemo_strength }}
{% if form.chemo_strength.errors %}
<span class="w3-text-red w3-small">{{ form.chemo_strength.errors|join:", " }}</span>
{% endif %}
</div>
<div class="w3-col m4 s12 w3-margin-bottom">
<label class="w3-text-teal"><b>{{ form.chemo_x.label }}</b></label>
{{ form.chemo_x }}
{% if form.chemo_x.errors %}
<span class="w3-text-red w3-small">{{ form.chemo_x.errors|join:", " }}</span>
{% endif %}
</div>
<div class="w3-col m4 s12 w3-margin-bottom">
<label class="w3-text-teal"><b>{{ form.chemo_y.label }}</b></label>
{{ form.chemo_y }}
{% if form.chemo_y.errors %}
<span class="w3-text-red w3-small">{{ form.chemo_y.errors|join:", " }}</span>
{% endif %}
</div>
<div class="w3-col m6 s12 w3-margin-bottom">
<label class="w3-text-teal"><b>{{ form.chemo_radius_mm.label }}</b></label>
{{ form.chemo_radius_mm }}
{% if form.chemo_radius_mm.errors %}
<span class="w3-text-red w3-small">{{ form.chemo_radius_mm.errors|join:", " }}</span>
{% endif %}
</div>
</div>
</div>
</div>
<!-- --- Interactions inter-individus --- -->
<div class="w3-container w3-padding-16">
<button type="button" class="w3-button w3-block w3-left-align w3-hover-light-grey"
onclick="toggleSection('social')">
<span class="w3-large">🔀</span>
<b class="w3-margin-left">{% trans "Interactions inter-individus" %}</b>
<span class="w3-small w3-text-grey w3-margin-left">
{% trans "Évitement et agrégation" %}
</span>
<span id="social-icon" class="w3-right"></span>
</button>
<div id="social" class="w3-hide w3-padding-top">
<div class="w3-row-padding">
<div class="w3-col m6 s12 w3-margin-bottom">
<label class="w3-text-teal"><b>{{ form.avoid_radius_mm.label }}</b></label>
<p class="w3-small w3-text-grey" style="margin:0 0 4px;">{% trans "Rayon de répulsion courte portée (mm)" %}</p>
{{ form.avoid_radius_mm }}
{% if form.avoid_radius_mm.errors %}
<span class="w3-text-red w3-small">{{ form.avoid_radius_mm.errors|join:", " }}</span>
{% endif %}
</div>
<div class="w3-col m6 s12 w3-margin-bottom">
<label class="w3-text-teal"><b>{{ form.aggreg_radius_mm.label }}</b></label>
<p class="w3-small w3-text-grey" style="margin:0 0 4px;">{% trans "Rayon d'attraction longue portée — doit être > rayon évitement (mm)" %}</p>
{{ form.aggreg_radius_mm }}
{% if form.aggreg_radius_mm.errors %}
<span class="w3-text-red w3-small">{{ form.aggreg_radius_mm.errors|join:", " }}</span>
{% endif %}
</div>
</div>
</div>
</div>
</div><!-- fin card comportements -->
<!-- ============================================================
Boutons d'action
============================================================ -->
<div class="w3-row-padding w3-margin-top">
<div class="w3-col m8 s12 w3-margin-bottom">
<button type="submit" class="w3-button w3-teal w3-round w3-large w3-padding-large">
{% if object %}
💾 {% trans "Enregistrer les modifications" %}
{% else %}
{% trans "Créer la configuration" %}
{% endif %}
</button>
<a href="{% url 'planarian:experiment-list' %}"
class="w3-button w3-light-grey w3-round w3-large w3-padding-large w3-margin-left">
✖ {% trans "Annuler" %}
</a>
</div>
{% if object %}
<div class="w3-col m4 s12 w3-right-align w3-margin-bottom">
<a href="{% url 'planarian:export-csv' %}?experiment={{ object.experiment }}&well={{ object.well }}"
class="w3-button w3-blue w3-round w3-large w3-padding-large">
📥 {% trans "Exporter CSV" %}
</a>
</div>
{% endif %}
</div>
</form><!-- fin form -->
</div><!-- fin container -->
<!-- ============================================================
Styles W3.CSS pour les champs de formulaire Django
(Django génère des <input> bruts sans classes — on les stylise ici)
============================================================ -->
<style>
/* Champs texte, number, select */
input[type="text"],
input[type="number"],
input[type="email"],
textarea,
select {
width: 100%;
padding: 8px 12px;
border: 1px solid #ccc;
border-radius: 4px;
font-size: 15px;
box-sizing: border-box;
margin-top: 2px;
background-color: #fafafa;
transition: border-color 0.2s;
}
input[type="text"]:focus,
input[type="number"]:focus,
textarea:focus,
select:focus {
border-color: #009688; /* teal W3.CSS */
outline: none;
background-color: #fff;
}
/* Champ en erreur */
input.errorfield, select.errorfield, textarea.errorfield {
border-color: #f44336;
background-color: #fff8f8;
}
/* Label au-dessus du champ */
label {
display: block;
margin-bottom: 2px;
font-size: 14px;
}
/* Sections accordéon */
[id$="-icon"] {
transition: transform 0.2s;
}
</style>
<script>
/**
* Bascule la visibilité d'une section accordéon.
* @param {string} id - Identifiant de la section (sans le préfixe)
*/
function toggleSection(id) {
const section = document.getElementById(id);
const icon = document.getElementById(id + '-icon');
if (section.classList.contains('w3-hide')) {
section.classList.remove('w3-hide');
if (icon) icon.textContent = '▲';
} else {
section.classList.add('w3-hide');
if (icon) icon.textContent = '▼';
}
}
/* Ouvrir automatiquement les sections qui contiennent des erreurs */
document.addEventListener('DOMContentLoaded', function () {
['thigmo', 'photo', 'chemo', 'social'].forEach(function (id) {
const section = document.getElementById(id);
if (section && section.querySelector('.w3-text-red')) {
section.classList.remove('w3-hide');
const icon = document.getElementById(id + '-icon');
if (icon) icon.textContent = '▲';
}
});
});
</script>
{% endblock %}
@@ -1,334 +0,0 @@
{% extends "base.html" %}
{% load i18n %}
{% block content %}
<div class="w3-container w3-padding-32" style="max-width:1200px; margin:auto;">
<!-- En-tête -->
<div class="w3-panel w3-teal w3-round-large w3-padding-16 w3-margin-bottom">
<div class="w3-row">
<div class="w3-col s12 m8 w3-bar-item">
<span class="w3-xlarge">
<i class="w3-margin-right">🔬</i>
{% trans "Configurations d'expériences" %}
</span>
</div>
<div class="w3-col s12 m4 w3-bar-item w3-right-align" style="padding-top:6px;">
<a href="{% url 'planarian:experiment-new' %}"
class="w3-button w3-white w3-round w3-text-teal">
{% trans "Nouvelle configuration" %}
</a>
</div>
</div>
</div>
<!-- Messages Django -->
{% for message in messages %}
<div class="w3-panel w3-round
{% if message.tags == 'success' %}w3-green
{% elif message.tags == 'error' %}w3-red
{% elif message.tags == 'warning' %}w3-orange
{% else %}w3-blue{% endif %}">
<p>{{ message }}</p>
</div>
{% endfor %}
<!-- Barre d'outils : recherche + import -->
<div class="w3-row-padding w3-margin-bottom">
<!-- Recherche côté client -->
<div class="w3-col m7 s12 w3-margin-bottom">
<div class="w3-border w3-round" style="display:flex; align-items:center; background:#fafafa;">
<span style="padding:0 10px; font-size:18px; color:#888;">🔍</span>
<input type="text" id="search-input"
placeholder="{% trans 'Filtrer par expérience, puits…' %}"
class="w3-input w3-border-0"
style="background:transparent;"
oninput="filterTable(this.value)">
</div>
</div>
<!-- Boutons import / export -->
<div class="w3-col m5 s12 w3-right-align w3-margin-bottom">
<a href="{% url 'planarian:import-params' %}"
class="w3-button w3-blue-grey w3-round w3-margin-right">
📂 {% trans "Importer CSV" %}
</a>
<a href="{% url 'planarian:export-csv' %}"
class="w3-button w3-blue w3-round">
📥 {% trans "Exporter CSV" %}
</a>
</div>
</div>
<!-- ============================================================
Tableau des configurations
============================================================ -->
{% if configs %}
<!-- Compteur -->
<p class="w3-text-grey w3-small" id="row-count">
{{ configs|length }} {% trans "configuration(s)" %}
</p>
<div class="w3-responsive w3-card-4 w3-round-large">
<table class="w3-table w3-striped w3-hoverable w3-bordered" id="config-table">
<thead>
<tr class="w3-teal">
<th onclick="sortTable(0)" class="sortable" title="{% trans 'Trier' %}">
{% trans "Expérience" %} <span class="sort-icon"></span>
</th>
<th onclick="sortTable(1)" class="sortable" title="{% trans 'Trier' %}">
{% trans "Puits" %} <span class="sort-icon"></span>
</th>
<th onclick="sortTable(2)" class="sortable w3-hide-small" title="{% trans 'Trier' %}">
{% trans "px/mm" %} <span class="sort-icon"></span>
</th>
<th class="w3-hide-small">{% trans "FPS" %}</th>
<th class="w3-hide-small">{% trans "Seuils (mm/s)" %}</th>
<th class="w3-hide-small">{% trans "Comportements" %}</th>
<th onclick="sortTable(6)" class="sortable w3-hide-small" title="{% trans 'Trier' %}">
{% trans "Créé le" %} <span class="sort-icon"></span>
</th>
<th>{% trans "Actions" %}</th>
</tr>
</thead>
<tbody id="config-tbody">
{% for cfg in configs %}
<tr class="config-row">
<!-- Expérience -->
<td>
<b>{{ cfg.experiment }}</b>
{% if cfg.description %}
<br><span class="w3-small w3-text-grey">{{ cfg.description|truncatechars:40 }}</span>
{% endif %}
</td>
<!-- Puits -->
<td>
<span class="w3-tag w3-teal w3-round">{{ cfg.well }}</span>
</td>
<!-- px/mm -->
<td class="w3-hide-small">{{ cfg.px_per_mm }}</td>
<!-- FPS -->
<td class="w3-hide-small">{{ cfg.fps }}</td>
<!-- Seuils de mobilité -->
<td class="w3-hide-small">
<span class="w3-tag w3-red w3-round w3-small"
title="{% trans 'Immobile' %}">
&lt; {{ cfg.thresh_immobile }}
</span>
<span class="w3-tag w3-orange w3-round w3-small"
title="{% trans 'Mobile' %}">
&lt; {{ cfg.thresh_mobile }}
</span>
</td>
<!-- Comportements actifs -->
<td class="w3-hide-small">
{% if cfg.thigmotaxis_wall_dist_mm > 0 %}
<span class="w3-tag w3-blue-grey w3-round w3-small w3-margin-right"
title="{% trans 'Thigmotactisme actif' %}">🫧</span>
{% endif %}
{% if cfg.photo_mode != 'none' and cfg.photo_strength > 0 %}
<span class="w3-tag w3-yellow w3-round w3-small w3-margin-right"
title="{% trans 'Phototactisme actif' %} ({{ cfg.photo_mode }})">💡</span>
{% endif %}
{% if cfg.chemo_strength > 0 %}
<span class="w3-tag w3-green w3-round w3-small w3-margin-right"
title="{% trans 'Chimiotactisme actif' %}">🍖</span>
{% endif %}
{% if cfg.avoid_radius_mm > 0 or cfg.aggreg_radius_mm > 0 %}
<span class="w3-tag w3-purple w3-round w3-small"
title="{% trans 'Interactions inter-individus' %}">🔀</span>
{% endif %}
</td>
<!-- Date de création -->
<td class="w3-hide-small w3-small w3-text-grey">
{{ cfg.created_at|date:"d/m/Y H:i" }}
</td>
<!-- Actions -->
<td style="white-space:nowrap;">
<a href="{% url 'planarian:experiment-edit' cfg.pk %}"
class="w3-button w3-small w3-teal w3-round"
title="{% trans 'Modifier' %}">✏</a>
<a href="{% url 'planarian:export-csv' %}?experiment={{ cfg.experiment }}&well={{ cfg.well }}"
class="w3-button w3-small w3-blue w3-round"
title="{% trans 'Exporter CSV' %}">📥</a>
<button type="button"
class="w3-button w3-small w3-red w3-round"
title="{% trans 'Supprimer' %}"
onclick="confirmDelete('{{ cfg.pk }}', '{{ cfg.experiment }}', '{{ cfg.well }}')">
🗑
</button>
</td>
</tr>
{% endfor %}
</tbody>
</table>
</div><!-- fin responsive -->
<!-- Message "aucun résultat" (filtrage JS) -->
<div id="no-results" class="w3-panel w3-pale-yellow w3-round w3-margin-top" style="display:none;">
<p>{% trans "Aucune configuration ne correspond à la recherche." %}</p>
</div>
{% else %}
<!-- Liste vide -->
<div class="w3-panel w3-pale-blue w3-round-large w3-padding-32" style="text-align:center;">
<p style="font-size:3rem; margin:0;">🔬</p>
<h3>{% trans "Aucune configuration pour l'instant." %}</h3>
<p class="w3-text-grey">
{% trans "Créez une première configuration ou importez un fichier CSV." %}
</p>
<a href="{% url 'planarian:experiment-new' %}"
class="w3-button w3-teal w3-round w3-large w3-margin-right">
{% trans "Nouvelle configuration" %}
</a>
<a href="{% url 'planarian:import-params' %}"
class="w3-button w3-blue-grey w3-round w3-large">
📂 {% trans "Importer CSV" %}
</a>
</div>
{% endif %}
</div><!-- fin container -->
<!-- ============================================================
Modal de confirmation de suppression
============================================================ -->
<div id="delete-modal" class="w3-modal">
<div class="w3-modal-content w3-round-large w3-card-4" style="max-width:420px; margin:auto; margin-top:10%;">
<header class="w3-container w3-red w3-round-top-large">
<h3 class="w3-text-white">🗑 {% trans "Confirmer la suppression" %}</h3>
</header>
<div class="w3-container w3-padding-24">
<p id="delete-msg"></p>
<form id="delete-form" method="post" action="">
{% csrf_token %}
<input type="hidden" name="_method" value="delete">
<button type="submit" class="w3-button w3-red w3-round w3-margin-right">
🗑 {% trans "Supprimer" %}
</button>
<button type="button" class="w3-button w3-light-grey w3-round"
onclick="document.getElementById('delete-modal').style.display='none'">
✖ {% trans "Annuler" %}
</button>
</form>
</div>
</div>
</div>
<!-- ============================================================
Styles
============================================================ -->
<style>
/* En-têtes de colonnes triables */
th.sortable {
cursor: pointer;
user-select: none;
}
th.sortable:hover {
background-color: #00796b;
}
.sort-icon {
font-size: 11px;
opacity: 0.7;
margin-left: 4px;
}
th.sort-asc .sort-icon::after { content: " ▲"; opacity: 1; }
th.sort-desc .sort-icon::after { content: " ▼"; opacity: 1; }
/* Tableau responsive */
#config-table td, #config-table th {
vertical-align: middle;
padding: 10px 12px;
}
</style>
<!-- ============================================================
JavaScript : filtrage + tri + modal suppression
============================================================ -->
<script>
// --- Filtrage dynamique ---
function filterTable(query) {
const q = query.toLowerCase().trim();
const rows = document.querySelectorAll('.config-row');
const noRes = document.getElementById('no-results');
const count = document.getElementById('row-count');
let visible = 0;
rows.forEach(function (row) {
const text = row.textContent.toLowerCase();
if (!q || text.includes(q)) {
row.style.display = '';
visible++;
} else {
row.style.display = 'none';
}
});
noRes.style.display = (visible === 0 && q) ? 'block' : 'none';
if (count) {
count.textContent = visible + ' {% trans "configuration(s)" %}';
}
}
// --- Tri de colonnes ---
let sortDir = {};
function sortTable(colIdx) {
const tbody = document.getElementById('config-tbody');
const rows = Array.from(tbody.querySelectorAll('.config-row'));
const th = document.querySelectorAll('#config-table thead th')[colIdx];
// Alterner ascendant / descendant
sortDir[colIdx] = sortDir[colIdx] === 'asc' ? 'desc' : 'asc';
// Réinitialiser les classes de toutes les colonnes
document.querySelectorAll('#config-table thead th').forEach(function (h) {
h.classList.remove('sort-asc', 'sort-desc');
});
th.classList.add(sortDir[colIdx] === 'asc' ? 'sort-asc' : 'sort-desc');
rows.sort(function (a, b) {
const cellA = a.querySelectorAll('td')[colIdx]?.textContent.trim() || '';
const cellB = b.querySelectorAll('td')[colIdx]?.textContent.trim() || '';
// Tri numérique si possible, sinon alphabétique
const numA = parseFloat(cellA);
const numB = parseFloat(cellB);
const cmp = (!isNaN(numA) && !isNaN(numB))
? numA - numB
: cellA.localeCompare(cellB, '{{ LANGUAGE_CODE|default:"fr" }}');
return sortDir[colIdx] === 'asc' ? cmp : -cmp;
});
rows.forEach(function (row) { tbody.appendChild(row); });
}
// --- Modal de suppression ---
function confirmDelete(pk, experiment, well) {
document.getElementById('delete-msg').textContent =
'{% trans "Supprimer la configuration" %} ' + experiment + ' / ' + well + ' ?';
document.getElementById('delete-form').action =
'{% url "planarian:experiment-list" %}' + pk + '/delete/';
document.getElementById('delete-modal').style.display = 'block';
}
// Fermer le modal en cliquant en dehors
window.onclick = function (e) {
const modal = document.getElementById('delete-modal');
if (e.target === modal) modal.style.display = 'none';
};
</script>
{% endblock %}
@@ -1,38 +1,10 @@
{% extends "base.html" %}
{% extends "planarian/base.html" %}
{% load i18n %}
{% block content %}
<div class="w3-container w3-padding-32" style="max-width:760px; margin:auto;">
<!-- En-tête -->
<div class="w3-panel w3-blue w3-round-large w3-padding-16 w3-margin-bottom">
<div class="w3-row">
<div class="w3-col s12 m8 w3-bar-item">
<span class="w3-xlarge">
📥 {% trans "Exporter les données vers CSV" %}
</span>
</div>
<div class="w3-col s12 m4 w3-bar-item w3-right-align" style="padding-top:6px;">
<a href="{% url 'planarian:experiment-list' %}"
class="w3-button w3-white w3-round w3-text-blue">
← {% trans "Retour à la liste" %}
</a>
</div>
</div>
</div>
<!-- Messages Django -->
{% for message in messages %}
<div class="w3-panel w3-round
{% if message.tags == 'success' %}w3-green
{% elif message.tags == 'error' %}w3-red
{% elif message.tags == 'warning' %}w3-orange
{% else %}w3-blue{% endif %}">
<p>{{ message }}</p>
</div>
{% endfor %}
<div class="w3-container w3-padding" style="max-width:760px; margin:auto;">
{% if current_session and current_experiment %}
{% include "inc/alert.html" %}
<!-- Explication -->
<div class="w3-panel w3-pale-blue w3-round w3-margin-bottom">
<p>
@@ -43,104 +15,54 @@
{% trans "Colonnes exportées compatibles EthoVision XT : distance, vitesse, états de mobilité, thigmotactisme." %}
</p>
</div>
<!-- Formulaire -->
<form method="post" novalidate>
{% csrf_token %}
<input type="hidden" id="_sid" name="_sid" value="{{ current_session.id }}">
<input type="hidden" id="_expid" name="_expid" value="{{ current_experiment.id }}">
{% if form.non_field_errors %}
<div class="w3-panel w3-red w3-round">
{% for error in form.non_field_errors %}
<p>⚠ {{ error }}</p>
{% endfor %}
</div>
{% endif %}
<div class="w3-card-4 w3-round-large">
<header class="w3-container w3-blue w3-round-top-large">
<div class="w3-card-4 w3-border w3-round w3-round-large">
<header class="w3-container w3-blue w3-round w3-round-top-large">
<h3 class="w3-text-white">{% trans "Paramètres d'export" %}</h3>
</header>
<div class="w3-container w3-padding-24">
<!-- Ligne 1 : expérience + puits -->
<div class="w3-row-padding w3-margin-bottom">
<div class="w3-col m7 s12 w3-margin-bottom">
<label class="w3-text-blue"><b>{{ form.experiment.label }}</b></label>
{% if form.experiment.help_text %}
<p class="w3-small w3-text-grey" style="margin:0 0 4px;">{{ form.experiment.help_text }}</p>
{% endif %}
<!-- Saisie libre ou sélection depuis les configs existantes -->
<input list="experiment-list" name="experiment" id="id_experiment"
value="{{ form.experiment.value|default:'' }}"
class="w3-input w3-border w3-round"
placeholder="{% trans 'Ex : exp_2026_04_25' %}">
<datalist id="experiment-list">
{% for cfg in experiment_choices %}
<option value="{{ cfg }}">
{% endfor %}
</datalist>
{% if form.experiment.errors %}
<span class="w3-text-red w3-small">{{ form.experiment.errors|join:", " }}</span>
{% endif %}
<label class="w3-text-blue"><b>{% trans "Expérience" %}</b></label>
<input type="text" name="experiment" value="{{ current_experiment.identifier }}" readonly/>
</div>
<div class="w3-col m5 s12 w3-margin-bottom">
<label class="w3-text-blue"><b>{{ form.well.label }}</b></label>
<input list="well-list" name="well" id="id_well"
value="{{ form.well.value|default:'' }}"
class="w3-input w3-border w3-round"
placeholder="{% trans 'Ex : A1' %}">
<datalist id="well-list">
{% for w in well_choices %}
<option value="{{ w }}">
<label class="w3-text-blue"><b>{% trans "Puits" %}</b></label>
<select name="well">
{% for well in well_choices %}
<option value="{{ well.name }}">{{ well.name }}</option>
{% endfor %}
</datalist>
{% if form.well.errors %}
<span class="w3-text-red w3-small">{{ form.well.errors|join:", " }}</span>
{% endif %}
</select>
</div>
</div>
<!-- Ligne 2 : planaire + type d'enregistrement -->
<div class="w3-row-padding w3-margin-bottom">
<div class="w3-col m4 s12 w3-margin-bottom">
<label class="w3-text-blue"><b>{{ form.planarian.label }}</b></label>
<p class="w3-small w3-text-grey" style="margin:0 0 4px;">
<label class="w3-text-blue"><b>{% trans "Index planaire" %}</b></label>
<p class="w3-small w3-text-light-grey" style="margin:0 0 4px;">
{% trans "Index du planaire dans le puits (commence à 0)" %}
</p>
{{ form.planarian }}
{% if form.planarian.errors %}
<span class="w3-text-red w3-small">{{ form.planarian.errors|join:", " }}</span>
{% endif %}
<input type="number" name="planarian" step="1" min="0" max="20" value="{{ planarian }}" />
</div>
<div class="w3-col m8 s12 w3-margin-bottom">
<label class="w3-text-blue"><b>{{ form.record_type.label }}</b></label>
<p class="w3-small w3-text-grey" style="margin:0 0 4px;">
<label class="w3-text-blue"><b>{% trans "Type d'enregistrement" %}</b></label>
<p class="w3-small w3-text-light-grey" style="margin:0 0 4px;">
{% trans "Frame par frame : une ligne par image. Résumé : métriques agrégées de la session." %}
</p>
<!-- Radio buttons stylisés W3 -->
<div class="w3-row-padding" style="margin-top:6px;">
{% for radio in form.record_type %}
<div class="w3-col m6 s12">
<label class="w3-button w3-block w3-round w3-border
{% if radio.data.value == form.record_type.value %}w3-blue w3-text-white{% else %}w3-white{% endif %}"
style="text-align:center; margin-bottom:6px; cursor:pointer;">
{{ radio.tag }} {{ radio.choice_label }}
</label>
<select name="record_type">
<option value="frame">{% trans "Frame par frame" %}</option>
<option value="summary">{% trans "Résumé" %}</option>
</select>
</div>
{% endfor %}
</div>
{% if form.record_type.errors %}
<span class="w3-text-red w3-small">{{ form.record_type.errors|join:", " }}</span>
{% endif %}
</div>
</div>
<!-- Ligne 3 : plage temporelle (optionnel) -->
<div class="w3-border-top w3-padding-top w3-margin-top">
<p class="w3-text-blue-grey">
@@ -150,36 +72,26 @@
</span>
</p>
<div class="w3-row-padding">
<div class="w3-col m6 s12 w3-margin-bottom">
<label class="w3-text-blue-grey">{{ form.start_dt.label }}</label>
{{ form.start_dt }}
{% if form.start_dt.errors %}
<span class="w3-text-red w3-small">{{ form.start_dt.errors|join:", " }}</span>
{% endif %}
<label class="w3-text-blue-grey">{% trans "Début (UTC)" %}</label>
<input type="datetime-local" class="datetime" name="start_dt">
</div>
<div class="w3-col m6 s12 w3-margin-bottom">
<label class="w3-text-blue-grey">{{ form.stop_dt.label }}</label>
{{ form.stop_dt }}
{% if form.stop_dt.errors %}
<span class="w3-text-red w3-small">{{ form.stop_dt.errors|join:", " }}</span>
{% endif %}
</div>
<label class="w3-text-blue-grey">{% trans "Fin (UTC)" %}</label>
<input type="datetime-local" class="datetime" name="stop_dt">
</div>
</div>
</div>
</div><!-- fin padding -->
</div><!-- fin card -->
<!-- Boutons -->
<div class="w3-row-padding w3-margin-top">
<div class="w3-col s12">
<button type="submit" class="w3-button w3-blue w3-round w3-large w3-padding-large">
<button type="submit" name="valid" class="w3-button w3-blue w3-large w3-padding-large" value="ok">
📥 {% trans "Générer et télécharger le CSV" %}
</button>
<a href="{% url 'planarian:experiment-list' %}"
<a href="/"
class="w3-button w3-light-grey w3-round w3-large w3-padding-large w3-margin-left">
✖ {% trans "Annuler" %}
</a>
@@ -187,10 +99,9 @@
</div>
</form>
<!-- Rappel des colonnes exportées -->
<div class="w3-card w3-round-large w3-margin-top">
<header class="w3-container w3-blue-grey w3-round-top-large">
<div class="w3-card w3-round-large w3-margin-top w3-border w3-round w3-round-large w3-margin-bottom">
<header class="w3-container w3-blue-grey w3-round w3-round-top-large">
<h4 class="w3-text-white" style="margin:8px 0;">
{% trans "Colonnes du fichier CSV exporté" %}
</h4>
@@ -223,9 +134,7 @@
</div>
</div>
</div>
</div><!-- fin container -->
<style>
input[type="text"],
input[type="number"],
@@ -245,10 +154,25 @@
outline: none;
background-color: #fff;
}
/* Masquer le radio natif, laisser le label stylisé */
.w3-button input[type="radio"] {
display: none;
}
</style>
{% else %}
<div class="w3-container w3-padding-64" style="max-width:760px; margin:auto;">
<h3 class="w3-panel w3-blue w3-round-xlarge w3-padding-64 w3-center"> {% trans "Choisir une session" %}</h3>
</div>
{% endif %}
{% endblock %}
@@ -1,55 +1,25 @@
{% extends "base.html" %}
{% extends "planarian/base.html" %}
{% load i18n %}
{% block export_csv %}{% endblock %}
{% block content %}
<div class="w3-container w3-padding-32" style="max-width:760px; margin:auto;">
<!-- En-tête -->
<div class="w3-panel w3-blue-grey w3-round-large w3-padding-16 w3-margin-bottom">
<div class="w3-row">
<div class="w3-col s12 m8 w3-bar-item">
<span class="w3-xlarge">
📂 {% trans "Importer des configurations depuis CSV" %}
</span>
</div>
<div class="w3-col s12 m4 w3-bar-item w3-right-align" style="padding-top:6px;">
<a href="{% url 'planarian:experiment-list' %}"
class="w3-button w3-white w3-round w3-text-blue-grey">
← {% trans "Retour à la liste" %}
</a>
</div>
</div>
</div>
<!-- Messages Django -->
{% for message in messages %}
<div class="w3-panel w3-round
{% if message.tags == 'success' %}w3-green
{% elif message.tags == 'error' %}w3-red
{% elif message.tags == 'warning' %}w3-orange
{% else %}w3-blue{% endif %}">
<p>{{ message }}</p>
</div>
{% endfor %}
{% if current_session and current_experiment %}
{% include "inc/alert.html" %}
<!-- Formulaire d'import -->
<form method="post" enctype="multipart/form-data" novalidate id="import-form">
{% csrf_token %}
<input type="hidden" id="_sid" name="_sid" value="{{ current_session.id }}">
<input type="hidden" id="_expid" name="_expid" value="{{ current_experiment.id }}">
{% if form.non_field_errors %}
<div class="w3-panel w3-red w3-round">
{% for error in form.non_field_errors %}
<p>⚠ {{ error }}</p>
{% endfor %}
</div>
{% endif %}
<div class="w3-card-4 w3-round-large w3-margin-bottom">
<header class="w3-container w3-blue-grey w3-round-top-large">
<h3 class="w3-text-white">{% trans "Fichier CSV à importer" %}</h3>
<div class="w3-card-4 w3-margin-bottom w3-border w3-round w3-round-large">
<header class="w3-container w3-blue-grey w3-round w3-round-top-large">
<h3 class="w3-text-white">{% trans "Fichier CSV à importer" %}: <span class="w3-large w3-text-lime">{{ current_experiment }}</span></h3>
</header>
<div class="w3-container w3-padding-24">
<p class="w3-light-blue w3-padding w3-border w3-round" style="margin:0 0 4px;">
{% trans "Colonnes obligatoires : well, px_per_mm, fps." %}<br>
{% trans "Toutes les autres colonnes sont optionnelles." %}
<!-- Zone de dépôt de fichier -->
<div id="drop-zone"
@@ -68,22 +38,12 @@
{% trans "ou cliquez pour sélectionner" %}
</span>
</p>
<!-- Input fichier caché -->
<input type="file" id="id_csv_file" name="csv_file"
accept=".csv,text/csv"
style="display:none;"
onchange="fileSelected(this)">
</div>
{% if form.csv_file.errors %}
<div class="w3-panel w3-red w3-round w3-margin-top">
{% for error in form.csv_file.errors %}
<p>⚠ {{ error }}</p>
{% endfor %}
</div>
{% endif %}
<!-- Aperçu du fichier sélectionné -->
<div id="file-info" class="w3-panel w3-pale-green w3-round w3-margin-top" style="display:none;">
<p id="file-name" class="w3-text-green"><b></b></p>
@@ -93,44 +53,37 @@
<!-- Option : écraser -->
<div class="w3-margin-top w3-padding-top w3-border-top">
<label class="w3-text-blue-grey" style="cursor:pointer; display:flex; align-items:center; gap:10px;">
{{ form.overwrite }}
<input type="checkbox" name="overwriteoverwrite" class="w3-check" value="1" />
<span>
<b>{{ form.overwrite.label }}</b><br>
<b>{% trans "Écraser les configurations existantes" %}</b><br>
<span class="w3-small w3-text-grey">
{% trans "Si décoché, les configurations déjà existantes (même experiment + well) seront ignorées." %}
</span>
</span>
</label>
{% if form.overwrite.errors %}
<span class="w3-text-red w3-small">{{ form.overwrite.errors|join:", " }}</span>
{% endif %}
</div>
</div>
</div>
</div>
<!-- Boutons -->
<div class="w3-row-padding w3-margin-bottom">
<div class="w3-col s12">
<button type="submit" id="submit-btn"
<button type="submit" id="submit-btn" name="valid" value="ok"
class="w3-button w3-blue-grey w3-round w3-large w3-padding-large"
disabled>
📂 {% trans "Importer" %}
</button>
<a href="{% url 'planarian:experiment-list' %}"
<a href="/"
class="w3-button w3-light-grey w3-round w3-large w3-padding-large w3-margin-left">
✖ {% trans "Annuler" %}
</a>
</div>
</div>
</form>
<!-- ============================================================
Format attendu du CSV
============================================================ -->
<div class="w3-card-4 w3-round-large">
<header class="w3-container w3-teal w3-round-top-large">
<div class="w3-card-4 w3-round-large w3-border w3-round w3-round-large">
<header class="w3-container w3-teal w3-round w3-round-top-large">
<h3 class="w3-text-white">{% trans "Format du fichier CSV" %}</h3>
</header>
<div class="w3-container w3-padding-24">
@@ -191,42 +144,30 @@
</thead>
<tbody>
<tr><td><code>well_radius_mm</code></td> <td>8.0</td> <td>{% trans "Rayon du puits (mm)" %}</td></tr>
<tr><td><code>thresh_immobile</code></td> <td>0.2</td> <td>{% trans "Seuil Immobile EthoVision (mm/s)" %}</td></tr>
<tr class="w3-grey"><td><code>thresh_immobile</code></td> <td>0.2</td> <td>{% trans "Seuil Immobile EthoVision (mm/s)" %}</td></tr>
<tr><td><code>thresh_mobile</code></td> <td>1.5</td> <td>{% trans "Seuil Mobile EthoVision (mm/s)" %}</td></tr>
<tr><td><code>tube_axis</code></td> <td>vertical</td> <td>{% trans "Axe du tube : vertical | horizontal" %}</td></tr>
<tr class="w3-grey"><td><code>tube_axis</code></td> <td>vertical</td> <td>{% trans "Axe du tube : vertical | horizontal" %}</td></tr>
<tr><td><code>min_area_px</code></td> <td>20</td> <td>{% trans "Surface min de détection (px²)" %}</td></tr>
<tr><td><code>planarian_count</code></td> <td>1</td> <td>{% trans "Nombre de planaires par puits" %}</td></tr>
<tr class="w3-grey"><td><code>planarian_count</code></td> <td>1</td> <td>{% trans "Nombre de planaires par puits" %}</td></tr>
<tr><td><code>photo_mode</code></td> <td>none</td> <td>{% trans "Phototactisme : none | fixed | sine | radial" %}</td></tr>
<tr><td><code>photo_strength</code></td> <td>0.0</td> <td>{% trans "Intensité phototactisme (0-1)" %}</td></tr>
<tr class="w3-grey"><td><code>photo_strength</code></td> <td>0.0</td> <td>{% trans "Intensité phototactisme (0-1)" %}</td></tr>
<tr><td><code>chemo_strength</code></td> <td>0.0</td> <td>{% trans "Intensité chimiotactisme (0-1)" %}</td></tr>
<tr><td><code>chemo_radius_mm</code></td> <td>2.0</td> <td>{% trans "Rayon zone nourriture (mm)" %}</td></tr>
<tr class="w3-grey"><td><code>chemo_radius_mm</code></td> <td>2.0</td> <td>{% trans "Rayon zone nourriture (mm)" %}</td></tr>
<tr><td><code>avoid_radius_mm</code></td> <td>3.0</td> <td>{% trans "Rayon évitement inter-individus (mm)" %}</td></tr>
<tr><td><code>aggreg_radius_mm</code></td> <td>6.0</td> <td>{% trans "Rayon agrégation inter-individus (mm)" %}</td></tr>
<tr class="w3-grey"><td><code>aggreg_radius_mm</code></td> <td>6.0</td> <td>{% trans "Rayon agrégation inter-individus (mm)" %}</td></tr>
</tbody>
</table>
</div>
<!-- Exemple de fichier -->
<p><b>{% trans "Exemple minimal" %}</b></p>
<div class="w3-code w3-round" style="font-size:12px; overflow-x:auto;">
<div class="w3-code w3-round w3-text-grey" style="font-size:12px; overflow-x:auto;">
experiment,well,px_per_mm,fps,thresh_immobile,thresh_mobile,photo_mode<br>
exp_ctrl_01,A1,26.25,10,0.2,1.5,none<br>
exp_ctrl_01,A2,26.25,10,0.2,1.5,none<br>
exp_light_01,B1,26.25,10,0.2,1.5,fixed<br>
exp_light_01,B2,26.25,10,0.2,1.5,fixed<br>
</div>
<!-- Téléchargement du template -->
<div class="w3-margin-top">
<a href="{% url 'planarian:experiment-list' %}?export_template=1"
class="w3-button w3-teal w3-round w3-small">
⬇ {% trans "Télécharger un template CSV vide" %}
</a>
<span class="w3-small w3-text-grey w3-margin-left">
{% trans "Ou exportez vos configurations existantes depuis l'admin Django." %}
</span>
</div>
</div>
</div>
@@ -322,5 +263,9 @@ exp_light_01,B2,26.25,10,0.2,1.5,fixed<br>
return (bytes / 1048576).toFixed(1) + ' MB';
}
</script>
{% else %}
<div class="w3-container w3-padding-64 w3-margin" style="max-width:760px; margin:auto;">
<h3 class="w3-panel w3-blue w3-round-xlarge w3-padding-64 w3-center"> {% trans "Choisir une session" %}<br>{% trans "Puis une expérience." %}</h3>
</div>
{% endif %}
{% endblock %}
+4 -8
View File
@@ -6,16 +6,12 @@ from planarian import views
app_name = "planarian"
urlpatterns = [
# Configurations expériences
path("experiments/", views.ExperimentConfigListView.as_view(), name="experiment-list"),
path("experiments/new/", views.ExperimentConfigFormView.as_view(), name="experiment-new"),
path("experiments/<int:pk>/",views.ExperimentConfigFormView.as_view(), name="experiment-edit"),
# Import / export
path("import/", views.ImportParamsView.as_view(), name="import-params"),
path("export/", views.ExportCsvView.as_view(), name="export-csv"),
path("import/csv/", views.import_csv_view, name="import-params"),
path("export/csv/", views.export_csv_view, name="export-csv"),
path("api/export/csv/", views.export_metrics, name="api-export-csv"),
# API JSON pour le front-end
path("api/tracking/", views.TrackingDataView.as_view(), name="tracking-data-api"),
]
+164 -105
View File
@@ -2,89 +2,154 @@
#import asyncio
import logging
import csv
import io
import json
from asgiref.sync import async_to_sync
from django.conf import settings
from django.contrib import messages
from django.http import HttpResponse, JsonResponse
from django.shortcuts import get_object_or_404, redirect #, render
from django.http import JsonResponse, FileResponse
from django.shortcuts import redirect
from django.utils.translation import gettext_lazy as _
from django.shortcuts import render #, redirect
from django.views.decorators.http import require_GET
from django.contrib.auth.decorators import login_required
from django.views import View
from django.views.generic import FormView, ListView
from .forms import CsvImportForm, ExperimentConfigForm, ExportCsvForm
from .models import ExperimentConfig
from modules.planarian_metrics import ExperimentParams, ReductStoreClient
from modules.system_stats import get_cached_stats, start_background_updater
from scanner.constants import ScannerConstants
from .tasks import export_experiment_metrics_task, export_session_metrics_task
from .export_service import export_csv_sync
from scanner import models, views as scanner_views
from .models import ExperimentConfig
logger = logging.getLogger(__name__)
start_background_updater()
def is_staff_or_admin(user):
return user.is_staff or user.is_superuser
@require_GET
def stats_view(request):
"""
Retourne tout le cache (shm, cpu_info, memory_info, disk_info, updated_at)
"""
try:
data = get_cached_stats()
return JsonResponse(data, safe=False)
except Exception as e:
return JsonResponse({"error": str(e)}, status=500)
def _get_reduct_client() -> ReductStoreClient:
"""Instancie le client ReductStore depuis les settings Django."""
return ReductStoreClient(
url = getattr(settings, "REDUCTSTORE_URL", "http://localhost:8383"),
token = getattr(settings, "REDUCTSTORE_TOKEN", ""),
bucket = getattr(settings, "REDUCTSTORE_BUCKET", "planarian_metrics"),
return ReductStoreClient(url=settings.REDUCTSTORE_URL, token=settings.REDUCTSTORE_TOKEN)
def global_context(request, **ctx):
conf = ScannerConstants().get()
return dict(
app_title=settings.APP_TITLE,
app_sub_title=settings.APP_SUB_TITLE,
domain_server=settings.DOMAIN_SERVER,
local_ip_server=settings.LOCAL_IP_SERVER,
host_port=settings.SERVER_HOST_PORT,
export_csv_destination=settings.CSV_EXPORT_DIR,
conf=conf,
**ctx
)
# ---------------------------------------------------------------------------
# Vue : liste des configurations
# ---------------------------------------------------------------------------
class ExperimentConfigListView(ListView):
"""Liste toutes les configurations expériences."""
model = ExperimentConfig
template_name = "planarian/experiment_list.html"
context_object_name = "configs"
ordering = ["-created_at"]
def get_active_session(request, session_id=None, experiment_id=None):
cursid = session_id or request.POST.get('_sid')
expid = experiment_id or request.POST.get('_expid')
current_session = models.Session.get_session(cursid)
experiments, current_experiment = scanner_views.get_not_active_experiments(current_session, expid)
context = dict(
current_session = current_session,
current_experiment = current_experiment,
experiments=experiments or [],
sessions=models.Session.objects.filter(active=False).all(),
well_choices=models.Well.objects.order_by('name').all(),
)
return context
# ---------------------------------------------------------------------------
# Vue : création / modification d'une configuration
# Vue :Export CSV depuis ReductStore
# ---------------------------------------------------------------------------
@login_required
def export_metrics(request):
data = json.loads(request.body.decode() or "{}")
action = data.get("action")
pid = data.get("pid")
if action=='experiment_csv':
experiment = models.Experiment.objects.filter(pk=pid).first()
if experiment:
export_experiment_metrics_task.delay(experiment.pk) # @UndefinedVariable
return JsonResponse({"success": True, "msg": str(_("Métrics en cours de téléchargement"))})
if action=='session_csv':
if pid:
export_session_metrics_task(pid) # @UndefinedVariable
return JsonResponse({"success": True, "msg": str(_("Métrics en cours de téléchargement"))})
return JsonResponse({"success": False, "msg": str(_("Erreur: les métrics non pas été téléchargés"))})
class ExperimentConfigFormView(FormView):
"""Formulaire de saisie des paramètres d'une expérience."""
template_name = "planarian/experiment_form.html"
form_class = ExperimentConfigForm
@login_required
def export_csv_view(request):
session_context = get_active_session(request)
ctx = {
'choice_title': _("Export vers un fichier CSV depuis ReductStore"),
'well': 'A1',
'planarian': "0",
'record_type': 'frame',
**session_context
}
if request.method == 'POST':
valid = request.POST.get('valid')
session = session_context['current_session']
experiment = session_context['current_experiment']
if valid == 'ok' and session and experiment:
well_name = request.POST.get('well')
uuid = models.get_uuid_from_session(session.pk, experiment.multiwell.position, well_name) # type: ignore[union-attr]
'''
csv_content, filename = export_csv(request, uuid)
if csv_content:
response = FileResponse(csv_content, content_type="text/csv; charset=utf-8")
response["Content-Disposition"] = f'attachment; filename="{filename}"'
return response'''
csv_content, n = export_csv_sync(
experiment=experiment.identifier, # type: ignore[union-attr]
well=well_name,
uuid=uuid,
planarian=request.POST.get("planarian"),
record_type=request.POST.get("record_type"),
start=request.POST.get("start_dt"),
stop=request.POST.get("stop_dt"),
)
if csv_content:
filename = (
f"{experiment.identifier}_{well_name}-{request.POST.get('planarian')}_" # type: ignore[union-attr]
f"{request.POST.get('record_type')}.csv"
)
logger.info(f"Export CSV: {n} lignes, content size={len(csv_content)}")
response = FileResponse(csv_content, content_type="text/csv; charset=utf-8")
response["Content-Disposition"] = (f'attachment; filename="{filename}"')
return response
def get_form(self, form_class=None):
pk = self.kwargs.get("pk")
if pk:
instance = get_object_or_404(ExperimentConfig, pk=pk)
return ExperimentConfigForm(self.request.POST or None, instance=instance)
return ExperimentConfigForm(self.request.POST or None)
def form_valid(self, form):
form.save()
messages.success(self.request, _("Configuration sauvegardée."))
return redirect("planarian:experiment-list")
messages.warning(request, _("Aucune donnée trouvée."))
return render(request, "planarian/export_csv.html", context=global_context(request, **ctx))
# ---------------------------------------------------------------------------
# Vue : import CSV de paramètres
# ---------------------------------------------------------------------------
class ImportParamsView(FormView):
"""
Import de configurations d'expérience depuis un fichier CSV.
Une ligne CSV = un puits = un ExperimentConfig.
Colonnes CSV obligatoires : experiment, well, px_per_mm, fps
Toutes les autres colonnes correspondent aux champs du modèle.
"""
template_name = "planarian/import_params.html"
form_class = CsvImportForm
def form_valid(self, form):
rows = form.csv_rows
overwrite = form.cleaned_data["overwrite"]
def import_csv(request, current_experiment, rows, overwrite):
created = 0
updated = 0
errors = 0
@@ -95,13 +160,13 @@ class ImportParamsView(FormView):
d = params.to_dict()
obj, is_new = ExperimentConfig.objects.get_or_create(
experiment = d["experiment"],
well = d["well"],
experiment = current_experiment.identifier,
well = d.get("well"),
)
if is_new or overwrite:
for k, v in d.items():
if k not in ("experiment", "well") and hasattr(obj, k):
if k not in ["well", "experiment", "author", "experiment_key", "active"] and hasattr(obj, k):
setattr(obj, k, v)
obj.save()
if is_new:
@@ -112,68 +177,58 @@ class ImportParamsView(FormView):
except Exception as e:
logger.warning(f"Ligne ignorée ({row}): {e}")
errors += 1
messages.success(
self.request,
request,
_("Import terminé : %(c)d créés, %(u)d mis à jour, %(e)d erreurs.")
% {"c": created, "u": updated, "e": errors},
)
return redirect("planarian:experiment-list")
return redirect("redirect_to_mainboard")
# ---------------------------------------------------------------------------
# Vue : export CSV depuis ReductStore
# ---------------------------------------------------------------------------
class ExportCsvView(FormView):
@login_required
def import_csv_view(request):
"""
Export des données de tracking depuis ReductStore vers un fichier CSV.
Retourne le fichier en téléchargement HTTP.
Import de configurations d'expérience depuis un fichier CSV.
Une ligne CSV = un puits = un ExperimentConfig.
Colonnes CSV obligatoires: well, px_per_mm, fps
Toutes les autres colonnes correspondent aux champs du modèle.
"""
session_context = get_active_session(request)
if request.method == 'POST':
valid = request.POST.get('valid')
current_experiment = session_context.get('current_experiment')
template_name = "planarian/export_csv.html"
form_class = ExportCsvForm
def form_valid(self, form):
d = form.cleaned_data
@async_to_sync
async def _do_export():
client = _get_reduct_client()
await client.connect()
if valid == 'ok' and current_experiment:
try:
csv_content, n = await client.export_csv_response(
experiment = d["experiment"],
well = d["well"],
planarian = d["planarian"],
record_type = d["record_type"],
start = d.get("start_dt"),
stop = d.get("stop_dt"),
)
finally:
await client.close()
return csv_content, n
f = request.FILES.get('csv_file')
overwrite = request.POST.get("overwrite")
try:
content = f.read().decode("utf-8-sig")
reader = csv.DictReader(io.StringIO(content))
rows = list(reader)
except Exception as e:
msg = f'Fichier CSV invalide : {e}'
raise Exception(msg)
csv_content, n = _do_export()
if not csv_content:
messages.warning(self.request, _("Aucune donnée trouvée."))
return self.form_invalid(form)
filename = (
f"{d['experiment']}_{d['well']}_planaire{d['planarian']}"
f"_{d['record_type']}.csv"
)
response = HttpResponse(csv_content, content_type="text/csv; charset=utf-8")
response["Content-Disposition"] = f'attachment; filename="{filename}"'
messages.success(self.request, _("%(n)d lignes exportées.") % {"n": n})
return response
required = {"well", "px_per_mm", "fps"}
if rows:
missing = required - set(rows[0].keys())
if missing:
msg = _("Colonnes manquantes : %(cols)s") % {"cols": ", ".join(missing)}
raise Exception(msg)
return import_csv(request, current_experiment, rows, overwrite)
except Exception as e:
messages.error(request, e)
logger.error(e)
ctx = { 'choice_title': _("Importer des configurations depuis un fichier CSV"), **session_context }
return render(request, "planarian/import_params.html", context=global_context(request, **ctx))
# ---------------------------------------------------------------------------
# Vue API JSON : données de tracking (pour polling front-end)
# ---------------------------------------------------------------------------
class TrackingDataView(View):
"""
API JSON retournant les métriques de tracking d'un planaire.
@@ -202,9 +257,13 @@ class TrackingDataView(View):
planarian = planarian,
record_type = record_type,
)
finally:
await client.close()
except Exception as e:
logger.error(f"Erreur fetching tracking data: {e}")
records = _fetch()
return JsonResponse({"count": len(records), "records": records})
def get_context_data(self, **kwargs):
context = super().get_context_data(**kwargs) # type: ignore[attr-defined]
return global_context(self.request, choice_title=str(_("Métriques de tracking d'un planaire")), **context)
+1335
View File
File diff suppressed because it is too large Load Diff
+5
View File
@@ -0,0 +1,5 @@
#!/bin/bash
echo "==== Starting server development in debug mode port 8000 ..."
echo "===="
../.venv/bin/python manage.py runserver 0.0.0.0:8000
+162 -9
View File
@@ -1,8 +1,10 @@
from pathlib import Path
from django.utils.translation import gettext_lazy as _
from django.utils.html import format_html
from django.contrib import admin
from django.db.models import Q
from . import models
class WellAdmin(admin.ModelAdmin):
model = models.Well
list_display = ('name', 'author',)
@@ -10,24 +12,74 @@ class WellAdmin(admin.ModelAdmin):
class ConfigurationAdmin(admin.ModelAdmin):
list_display = ('name', 'author', 'capture_type', 'video_width_capture', 'video_height_capture', 'video_frame_rate', 'active',)
fieldsets = (
(_("Identification"), {
"fields": ("name", "author", "active"),
}),
(_("Dashboard"), {
"fields": ("sidebar_width", "default_grid_columns",),"classes": ("collapse",),
}),
(_("opencv"), {
"fields": ("opencv_fourcc_format", "opencv_video_type"),"classes": ("collapse",),
}),
(_("Grbl"), {
"fields": ("grbl_xmax", "grbl_ymax"),
"classes": ("collapse",),
}),
(_("Camera"), {
"fields": ("scan_simulation", "capture_type", "webcam_device_index", "image_quality", "video_jpeg_quality", "video_frame_rate", "video_width_capture", "video_height_capture"),
"classes": ("collapse",),
}),
(_("Calibration / Balayage"), {
"fields": ("tube_axis", "calibration_crop_radius", "calibration_default_multiwell", "calibration_default_feed", "calibration_default_step", "calibration_default_duration"),
"classes": ("collapse",),
}),
(_("Tracking: valeurs par défaut"), {
"fields": ("tracking", "tracking_setting", "min_area_px", "max_area_ratio", "max_planarians", "merge_kernel_size", "min_contour_dist_px"),
"classes": ("collapse",),
}),
)
class MultiWellAdmin(admin.ModelAdmin):
list_filter = ('author', )
list_display = ('label', 'position', 'author', 'order', 'xbase', 'ybase', 'duration', 'feed', 'default', 'well_position', 'active',)
list_display = ('label', 'position', 'author', 'order', 'xbase', 'ybase', 'duration', 'feed', 'default', 'well_position', 'capture_video', 'active',)
ordering = ('label', 'order')
fieldsets = (
(_("Identification"), {
"fields": ("label", "author", "position", "default", "capture_video", "active"),
}),
(_("Géométrie"), {
"fields": ("cols", "rows", "diameter", "crop_radius", "row_def", "row_order"),"classes": ("collapse",),
}),
(_("Déplacement"), {
"fields": ("order", "duration", "xbase", "ybase", "dx", "dy", "feed"),"classes": ("collapse",),
}),
(_("Positions générées"), {
"fields": ("well_position",),
}),
)
class WellPositionAdmin(admin.ModelAdmin):
list_filter = ('author', 'multiwell')
list_display = ('multiwell__position', 'well__name', 'order', 'x', 'y', 'px_per_mm', 'author',)
#class ExperimentConfigInline(admin.TabularInline):
# model = models.ExperimentConfig
# extra = 0
class ExperimentWellInline(admin.TabularInline):
model = models.ExperimentWell
extra = 0
#ordering = ('experiment__multiwell__wellposition__order',)
class ExperimentAdmin(admin.ModelAdmin):
#inlines = (ExperimenConfigInline,)
inlines = (ExperimentWellInline, )
list_filter = ('session_experiments__session', 'author', )
list_display = ('title', 'author', 'multiwell', 'created', 'started', 'finished')
readonly_fields = ('created', 'started', 'finished', )
list_display = ('title', 'author', 'identifier', 'duration', 'multiwell', 'created', 'started', 'finished')
readonly_fields = ('created', 'identifier', 'started', 'finished', )
class SessionExperimentInlineAdmin(admin.TabularInline):
model = models.SessionExperiment
@@ -51,7 +103,7 @@ class SessionExperimentInlineAdmin(admin.TabularInline):
class SessionAdmin(admin.ModelAdmin):
list_filter = ('author',)
inlines = (SessionExperimentInlineAdmin, )
list_display = ('name', 'author', 'created', 'finished', 'active', 'expected_export', 'expected_scanning', )
list_display = ('name', 'id', 'author', 'created', 'finished', 'active', 'expected_export', 'expected_scanning', )
readonly_fields = (
'created',
'finished',
@@ -63,6 +115,107 @@ class SessionAdmin(admin.ModelAdmin):
'scanning_finished_at'
)
@admin.register(models.VideoPlate)
class VideoPlateAdmin(admin.ModelAdmin):
list_display = ['multiwell', 'label', 'video_filename', 'active',
'fps_display', 'duration_display', 'resolution_display', 'uploaded_at']
list_filter = ['multiwell', 'active']
list_editable = ['active']
readonly_fields = [
'native_fps', 'duration_s', 'frame_w', 'frame_h',
'uploaded_at', 'resolution_display', 'video_preview',
]
fields = [
'multiwell', 'label', 'video_file', 'active', 'px_per_mm',
'x_origin_mm', 'y_origin_mm',
'video_preview',
'native_fps', 'duration_s', 'frame_w', 'frame_h', 'uploaded_at',
]
class Media:
css = {'all': ('scanner/css/video_upload.css',)}
js = ('scanner/js/video_upload.js',)
# ------------------------------------------------------------------
# Colonnes liste
# ------------------------------------------------------------------
@admin.display(description=_("Fichier"), ordering='video_file')
def video_filename(self, obj):
return obj.video_filename
@admin.display(description=_("FPS"))
def fps_display(self, obj):
return f"{obj.native_fps:.2f}" if obj.native_fps else ""
@admin.display(description=_("Durée"))
def duration_display(self, obj):
if not obj.duration_s:
return ""
m, s = divmod(int(obj.duration_s), 60)
return f"{m}:{s:02d}"
@admin.display(description=_("Résolution"))
def resolution_display(self, obj):
return obj.resolution
# ------------------------------------------------------------------
# Aperçu vidéo (readonly field)
# ------------------------------------------------------------------
@admin.display(description=_("Aperçu"))
def video_preview(self, obj):
if not obj.video_file:
return ""
return format_html(
'<video src="{}" controls style="max-width:480px;max-height:320px;'
'border-radius:4px;"></video>',
obj.video_file.url,
)
# ------------------------------------------------------------------
# Sauvegarde : extraction des métadonnées
# ------------------------------------------------------------------
def save_model(self, request, obj, form, change):
super().save_model(request, obj, form, change)
if obj.video_file:
self._extract_metadata(obj)
def _extract_metadata(self, obj):
try:
import cv2
cap = cv2.VideoCapture(obj.video_file.path)
if cap.isOpened():
fps = cap.get(cv2.CAP_PROP_FPS)
fc = cap.get(cv2.CAP_PROP_FRAME_COUNT)
models.VideoPlate.objects.filter(pk=obj.pk).update(
native_fps = fps,
duration_s = (fc / fps) if fps else None,
frame_w = int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)),
frame_h = int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)),
)
cap.release()
except Exception:
pass
# ------------------------------------------------------------------
# Suppression : efface aussi le fichier physique
# ------------------------------------------------------------------
def delete_model(self, request, obj):
if obj.video_file:
Path(obj.video_file.path).unlink(missing_ok=True)
super().delete_model(request, obj)
def delete_queryset(self, request, queryset):
for obj in queryset:
if obj.video_file:
Path(obj.video_file.path).unlink(missing_ok=True)
super().delete_queryset(request, queryset)
admin.site.register(models.Configuration, ConfigurationAdmin)
admin.site.register(models.Well, WellAdmin)
admin.site.register(models.MultiWell, MultiWellAdmin)
+17 -1
View File
@@ -19,15 +19,23 @@ class DefaultConfig:
webcam_device_index: int = 2
image_quality: int = 90
video_jpeg_quality: int = 90
video_frame_rate: int = 5.0
video_frame_rate: float = 5.0
video_width_capture: int = 2028
video_height_capture: int = 1520
scan_simulation: bool = False
calibration_crop_radius: int = 500
calibration_default_multiwell: str = 'HD'
calibration_default_feed: int = 1000
calibration_default_step: float = 1.0
calibration_default_duration: float = 3.0
tracking: bool = False
tracking_setting: bool = False
tube_axis: str = 'vertical'
min_area_px: int = 20
max_area_ratio: float = 0.10
max_planarians: int = 1
merge_kernel_size: int = 15
min_contour_dist_px: int = 40
class ScannerConstants:
@@ -44,4 +52,12 @@ class ScannerConstants:
def get(self):
return self.conf
@classmethod
def get_config(cls):
return Configuration.objects.filter(active=True).first()
def save_config(self):
d = asdict(self.conf)
Configuration.objects.filter(active=True).update(**d)
-3
View File
@@ -33,9 +33,6 @@ class ScannerConsumer(AsyncWebsocketConsumer):
if msg_type in ["scanner", "calibrate"]:
redisDB.publish(self.this_group, json.dumps(data))
async def replay_message(self, event):
await self.send(text_data=json.dumps(event["text"]))
class ReplayConsumer(AsyncWebsocketConsumer):
+37 -49
View File
@@ -7,7 +7,7 @@ import posix_ipc
import mmap
import cv2
import numpy as np
from django.http import JsonResponse, HttpResponse
#from django.http import JsonResponse, HttpResponse
from django.conf import settings
from reduct.time import unix_timestamp_to_iso
@@ -34,24 +34,20 @@ def delete_file_later(path):
async def remove_video_by_uuid(uuid, start_ts=None, end_ts=None, when=None):
record_manager = CameraRecordManager(cameraDB)
await record_manager.remove(uuid, start_ts, end_ts)
await record_manager.remove_uuid(uuid, start_ts, end_ts)
async def remove_video(uuid, start_ts, end_ts, when=None):
try:
await remove_video_by_uuid(uuid, start_ts, end_ts, when=when)
return JsonResponse({'state': 'ok'}, status=200)
except Exception as e:
return JsonResponse({'error': str(e)}, status=500)
async def shm_download_video(uuid, start_ts, end_ts, frame_rate=5, opencv_fourcc_format='mp4v', opencv_video_type='mp4'):
video_path = os.path.join(settings.MEDIA_ROOT, f"output.{opencv_video_type}")
try:
record_manager = CameraRecordManager(cameraDB)
total_size = await record_manager.size(uuid, start_ts, end_ts)
# segment de mémoire partagée pour stocker les frames
shm_size = int(total_size * 1.5)
shm_size = int((total_size or 0) * 1.5)
shm_name = f"/video_frames_{uuid}"
try:
shm = posix_ipc.SharedMemory(shm_name, posix_ipc.O_CREAT | posix_ipc.O_EXCL, size=shm_size)
@@ -79,14 +75,16 @@ async def shm_download_video(uuid, start_ts, end_ts, frame_rate=5, opencv_fourcc
total += 1
if not frame_sizes:
return JsonResponse({'error': 'Aucune frame trouvée'}, status=404)
raise Exception("No frame found!")
#return JsonResponse({'error': 'Aucune frame trouvée'}, status=404)
video_path = os.path.join(settings.MEDIA_ROOT, f"output.{opencv_video_type}")
fourcc = cv2.VideoWriter_fourcc(* opencv_fourcc_format)
#video_path = os.path.join(settings.MEDIA_ROOT, f"output.{opencv_video_type}")
fourcc = cv2.VideoWriter_fourcc(*opencv_fourcc_format) # type: ignore[attr-defined]
# Lit les frames depuis la mémoire partagée
current_offset = 0
i = 0
video = None
for size in frame_sizes:
frame_bytes = mm[current_offset:current_offset + size]
nparr = np.frombuffer(frame_bytes, np.uint8)
@@ -97,36 +95,17 @@ async def shm_download_video(uuid, start_ts, end_ts, frame_rate=5, opencv_fourcc
video.write(frame)
current_offset += size
progress_bar(i + 1, total, prefix=f'Progression {uuid}:', suffix='Terminé', length=30)
progress_bar(i + 1, total, prefix=f'Progress {uuid}:', suffix='Ended', length=30)
i+=1
if video:
video.release()
# Nettoie la mémoire partagée
shm.unlink()
# Vérifier que le fichier existe
if not os.path.exists(video_path):
logger.error(f"Fichier non créé: {video_path}")
return JsonResponse({'error': 'Erreur création vidéo'}, status=500)
# Lit le fichier vidéo généré
with open(video_path, 'rb') as f:
video_bytes = f.read()
# Retourne la vidéo en réponse
response = HttpResponse(video_bytes, content_type='video/mp4')
response['Content-Disposition'] = f'attachment; filename="{video_path}"'
response['Content-Length'] = os.path.getsize(video_path)
# Supprime le fichier temporaire
os.remove(video_path)
return response
return { "status": 404, "success": True, "video_path": video_path}
except Exception as e:
logger.error(f"shm_download_video: {e}")
return JsonResponse({'error': str(e)}, status=500)
return {"status": 500, "success": False, "video_path": video_path, "error": str(e)}
# ─────────────────────────────────────────────
##
@@ -145,6 +124,10 @@ def _copy_to_destinations(source_path: str, filename: str) -> dict:
"""
results = {"local": None, "remote": None}
filename = filename.replace(':', '_')
logger.info("%s %s", source_path, filename)
for dest in settings.EXPORT_DESTINATIONS:
if dest == "local":
@@ -152,9 +135,9 @@ def _copy_to_destinations(source_path: str, filename: str) -> dict:
results["local"] = source_path
elif dest == "remote":
remote_path = os.path.join(settings.EXPORT_REMOTE_DIR, filename)
remote_path = os.path.join(settings.EXPORT_REMOTE_PATH, filename)
try:
if not remote_mount_available(settings.EXPORT_REMOTE_DIR):
if not remote_mount_available(settings.EXPORT_REMOTE_PATH):
logger.warning("Partage Samba non disponible, copie ignorée")
results["remote_error"] = "Montage indisponible"
continue
@@ -203,7 +186,7 @@ async def export_images_zip(
# --- Chargement des frames en mémoire partagée ---
record_manager = CameraRecordManager(cameraDB)
total_size = await record_manager.size(uuid, start_ts, end_ts)
shm_size = int(total_size * 1.5)
shm_size = int((total_size or 0) * 1.5)
try:
shm = posix_ipc.SharedMemory(
@@ -243,11 +226,12 @@ async def export_images_zip(
total += 1
if not frame_sizes:
return {"status": "error", "message": "Aucune frame trouvée"}
return {"status": "error", "message": "No frame found!..."}
# --- Génération du ZIP ---
max_zip_bytes = max_zip_size_mb * 1024 * 1024 if max_zip_size_mb > 0 else 0
ts_s = unix_timestamp_to_iso(start_ts)
zip_filename = f"{uuid}_{ts_s}.zip"
zip_path = os.path.join(settings.EXPORTS_LOCAL_PATH, 'images', zip_filename)
os.makedirs(os.path.dirname(zip_path), exist_ok=True)
@@ -292,19 +276,21 @@ async def export_images_zip(
zf.writestr(f"{uuid}_{ts_iso}.jpg", buf.tobytes())
written += 1
progress_bar(i + 1, total, prefix=f'Progression {uuid}:', suffix='Terminé', length=30)
progress_bar(i + 1, total, prefix=f'Progress {uuid}:', suffix='Ended', length=30)
i+=1
current_offset += size
## Copie vers les destinations (local + Samba)
#destinations = _copy_to_destinations(zip_path, zip_filename)
filename = os.path.join('images', zip_filename)
destinations = _copy_to_destinations(zip_path, filename)
return {
"status": "success",
"zip_path": zip_path,
"frames_written": written,
"frames_skipped": skipped,
"jpeg_quality": jpeg_quality,
#"destinations": destinations,
"destinations": destinations,
}
except Exception as exc:
@@ -357,7 +343,7 @@ async def export_video_mp4(
# --- Chargement des frames en mémoire partagée ---
record_manager = CameraRecordManager(cameraDB)
total_size = await record_manager.size(uuid, start_ts, end_ts)
shm_size = int(total_size * 1.5)
shm_size = int((total_size or 0) * 1.5)
try:
shm = posix_ipc.SharedMemory(
@@ -395,7 +381,7 @@ async def export_video_mp4(
total +=1
if not frame_sizes:
return {"status": "error", "message": "Aucune frame trouvée"}
return {"status": "error", "message": "No frame found!..."}
# --- Génération du MP4 ---
@@ -407,7 +393,7 @@ async def export_video_mp4(
)
os.makedirs(os.path.dirname(video_path), exist_ok=True)
fourcc = cv2.VideoWriter_fourcc(*opencv_fourcc_format)
fourcc = cv2.VideoWriter_fourcc(*opencv_fourcc_format) # type: ignore[attr-defined]
skipped = 0
written = 0
current_offset = 0
@@ -451,18 +437,20 @@ async def export_video_mp4(
written += 1
current_offset += size
progress_bar(i + 1, total, prefix=f'Progression {uuid}:', suffix='Terminé', length=30)
progress_bar(i + 1, total, prefix=f'Progress {uuid}:', suffix='Ended', length=30)
i+=1
if video:
video.release()
if not os.path.exists(video_path):
return {"status": "error", "message": f"Fichier {opencv_video_type} non créé"}
return {"status": "error", "message": f"File {opencv_video_type} not created!..."}
## Copie vers les destinations (local + Samba)
#filename = os.path.basename(video_path)
#destinations = _copy_to_destinations(video_path, filename)
filename = os.path.basename(video_path)
filename = os.path.join('videos', filename)
destinations = _copy_to_destinations(video_path, filename)
return {
"status": "success",
"video_path": video_path,
@@ -470,7 +458,7 @@ async def export_video_mp4(
"frames_skipped": skipped,
"frame_rate": frame_rate,
"file_size_mb": round(os.path.getsize(video_path) / 1024 / 1024, 2),
#"destinations": destinations,
"destinations": destinations,
}
except Exception as exc:
@@ -0,0 +1,197 @@
# Generated by Django 6.0.5 on 2026-05-31 07:42
import django.db.models.deletion
import django.utils.timezone
from django.conf import settings
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('django_celery_beat', '0019_alter_periodictasks_options'),
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
operations = [
migrations.CreateModel(
name='Configuration',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(default='Configuration par défaut', help_text='Nom de la configuration', max_length=100, null=True, verbose_name='Nom de la Configuration')),
('sidebar_width', models.CharField(default='350px', help_text='Largeur barre latérale (css)', max_length=32, null=True, verbose_name='Barre latérale')),
('default_grid_columns', models.PositiveSmallIntegerField(default=3, help_text='Nombre de colonnes de la grille par défaut', verbose_name='Colonnes de la grille par défaut')),
('opencv_fourcc_format', models.CharField(choices=[('mp4v', 'MP4'), ('XVID', 'XVID')], default='mp4v', help_text='Opencv fourcc format', max_length=8, null=True, verbose_name='Fourcc')),
('opencv_video_type', models.CharField(choices=[('mp4', 'MP4'), ('avi', 'AVI')], default='mp4', help_text='Opencv video type', max_length=8, null=True, verbose_name='Video type')),
('grbl_xmax', models.FloatField(default=350.0, help_text='CNC Grbl Xmax en mm', verbose_name='Grbl Xmax')),
('grbl_ymax', models.FloatField(default=250.0, help_text='CNC Grbl Ymax en mm', verbose_name='Grbl Ymax')),
('capture_type', models.CharField(choices=[('rpi', 'Arducam'), ('webcam', 'Webcam'), ('file', 'Simulation Fichier vidéo (mp4, avi)'), ('video', 'Fichier vidéo (mp4, avi)')], default='rpi', help_text='Type de capture. Nécessite un redémarrage en cas de modification à chaud!', max_length=8, null=True, verbose_name='Capture')),
('webcam_device_index', models.PositiveSmallIntegerField(default=2, help_text='Index de la webcam (0, 1, ...) si présente', verbose_name='Index de la webcam')),
('image_quality', models.PositiveSmallIntegerField(default=90, help_text='Qualité JPEG (1-100) pour les images exportées', verbose_name='Qualité JPEG')),
('video_jpeg_quality', models.PositiveSmallIntegerField(default=90, help_text='Qualité JPEG (1-100) pour les images extraites des vidéos', verbose_name='Qualité JPEG pour les vidéos')),
('video_frame_rate', models.FloatField(default=5.0, help_text="Fréquence d'extraction des images des vidéos (images par seconde)", verbose_name='Fréquence vidéos (fps)')),
('video_width_capture', models.PositiveSmallIntegerField(default=1280, help_text='Largeur de capture vidéo en pixels', verbose_name='Largeur de capture vidéo')),
('video_height_capture', models.PositiveSmallIntegerField(default=720, help_text='Hauteur de capture vidéo en pixels', verbose_name='Hauteur de capture vidéo')),
('scan_simulation', models.BooleanField(default=False, help_text='Autorise la simulation du balayage', verbose_name='Simuler balayage')),
('calibration_crop_radius', models.PositiveSmallIntegerField(default=150, help_text='Rayon en pixels pour découper les images de calibration en px', verbose_name='Rayon de découpe pour la calibration')),
('calibration_default_multiwell', models.CharField(choices=[('HG', 'HG-Haut gauche'), ('HD', 'HD-Haut droit'), ('BG', 'BG-Bas gauche'), ('BD', 'BD-Bas droit')], default='HG', help_text='Position du multi-puits de calibration par défaut', max_length=8, verbose_name='Multi-puits de calibration par défaut')),
('calibration_default_feed', models.PositiveIntegerField(default=1000, help_text='Vitesse de déplacement pour la calibration en mm/mn', verbose_name='Vitesse de calibration')),
('calibration_default_step', models.FloatField(default=1.0, help_text='Pas de déplacement pour la calibration en mm', verbose_name='Pas de calibration')),
('calibration_default_duration', models.FloatField(default=3.0, help_text='Durée de pose entre chaque puits en s', verbose_name='Duruée calibration')),
('tracking', models.BooleanField(default=False, help_text='Suivi et analyse des planaires', verbose_name='Suivi')),
('tracking_setting', models.BooleanField(default=False, help_text='Autorise le réglage des valeurs par défaut dans la calibration', verbose_name='Réglage dans calibration')),
('tube_axis', models.CharField(choices=[('vertical', 'Vertical'), ('horizontal', 'Horizontal')], default='vertical', help_text='Axe du tube', max_length=16, null=True, verbose_name='Axe du puit')),
('min_area_px', models.PositiveIntegerField(default=20, help_text="surface minimale d'un contour pour être considéré valide (px²)", verbose_name='Surface minimale')),
('max_area_ratio', models.FloatField(default=0.1, help_text="surface maximale d'un contour en fraction de la frame (défaut 10%)", verbose_name='surface maximale ')),
('max_planarians', models.PositiveIntegerField(default=1, help_text='nombre maximum de planaires à suivre simultanément (1-10)', verbose_name='Max planaire')),
('merge_kernel_size', models.PositiveIntegerField(default=15, help_text='taille du kernel elliptique de fusion des fragments (px). Augmenter si fragments résiduels', verbose_name='Taille du kernel')),
('min_contour_dist_px', models.PositiveIntegerField(default=40, help_text='Distance min entre deux contours pour les considérer comme individus distincts. Défaut : 40px. Augmenter si IDs multiples persistent', verbose_name='Distance <contour>')),
('active', models.BooleanField(default=False, verbose_name='Actif')),
('author', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='Auteur')),
],
options={
'verbose_name': 'Configuration',
'verbose_name_plural': 'Configuration',
'ordering': ['id'],
},
),
migrations.CreateModel(
name='MultiWell',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('label', models.CharField(blank=True, help_text='Label du multi-puit', max_length=100, null=True, verbose_name='Label')),
('position', models.CharField(choices=[('HG', 'HG-Haut gauche'), ('HD', 'HD-Haut droit'), ('BG', 'BG-Bas gauche'), ('BD', 'BD-Bas droit')], help_text='Position du multi-puits sur la table', max_length=8, null=True, unique=True, verbose_name='Position')),
('default', models.BooleanField(default=False, help_text='Multi-puit par défaut', verbose_name='Par défaut')),
('cols', models.PositiveSmallIntegerField(default=6, help_text='Nombre de colonnes', verbose_name='Colonnes')),
('rows', models.PositiveSmallIntegerField(default=4, help_text='Nombre de lignes', verbose_name='Lignes')),
('diameter', models.FloatField(default=16.0, help_text='Diamètre des tubes en mm', verbose_name='Diamètre')),
('row_def', models.CharField(default='A,B,C,D', help_text='Définition des lignes', max_length=16, null=True, verbose_name='Définition')),
('row_order', models.CharField(default='D,C,B,A', help_text='Ordre ligne de puit. Lecture en serpentin dans le sens des +- X', max_length=16, null=True, verbose_name='Ordre ligne')),
('crop_radius', models.PositiveSmallIntegerField(default=500, help_text='Rayon en pixels pour recadrer les images en px', verbose_name='Rayon de découpe recadrage')),
('order', models.PositiveSmallIntegerField(default=0, help_text='Ordre de lecture du multi-puit', verbose_name='Ordre')),
('duration', models.PositiveIntegerField(default=10, help_text='Durée de capture en secondes pour la calibration', verbose_name='Durée')),
('xbase', models.FloatField(default=50.0, help_text='Base origine X en mm', verbose_name='Origine X')),
('ybase', models.FloatField(default=50.0, help_text='Base origine Y en mm', verbose_name='Origine Y')),
('dx', models.FloatField(default=19.5, help_text='Pas ou interval sur X en mm', verbose_name='Pas X')),
('dy', models.FloatField(default=19.5, help_text='Pas ou interval sur Y en mm', verbose_name='Pas Y')),
('feed', models.PositiveIntegerField(default=1000, help_text='Vitesse déplacement en mm/mn ', verbose_name='Vitesse')),
('well_position', models.BooleanField(default=False, help_text='Positions des puits générées ?. Non => efface WellPosition et recalcule les positions', verbose_name='Positions')),
('active', models.BooleanField(default=True, verbose_name='Active')),
('author', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='Auteur')),
],
options={
'verbose_name': 'Multi-puits',
'verbose_name_plural': 'Multi-puits',
'ordering': ['order'],
},
),
migrations.CreateModel(
name='Experiment',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('title', models.CharField(max_length=100, null=True, verbose_name="Titre de l'expérience")),
('comment', models.TextField(blank=True, help_text="Descriptions de l'expérience", null=True, verbose_name='Commentaires')),
('identifier', models.CharField(max_length=100, null=True, unique=True, verbose_name="Identifiant d'expérience")),
('duration', models.PositiveIntegerField(default=120, help_text='Durée de la prise de vue en secondes', verbose_name='Durée')),
('created', models.DateTimeField(default=django.utils.timezone.now, verbose_name='Date de création')),
('started', models.DateTimeField(blank=True, null=True, verbose_name='Date de début')),
('finished', models.DateTimeField(blank=True, null=True, verbose_name='Date de fin')),
('author', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='Auteur')),
('multiwell', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='scanner.multiwell', verbose_name='Multi-puits')),
],
options={
'verbose_name': 'Expérience',
'verbose_name_plural': 'Expériences',
'ordering': ['-created'],
},
),
migrations.CreateModel(
name='Session',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(help_text="Session d'expérience. 4 Multi-puits maximum", max_length=100, null=True, verbose_name='Nom de la session')),
('active', models.BooleanField(default=True, verbose_name='Active')),
('expected_export', models.DateTimeField(blank=True, help_text="Date d'exportation prévue", null=True, verbose_name='Exportation auto')),
('expected_scanning', models.DateTimeField(blank=True, help_text='Date du balayage prévue', null=True, verbose_name='Bbalayage auto')),
('created', models.DateTimeField(default=django.utils.timezone.now, verbose_name='Date de création')),
('finished', models.DateTimeField(blank=True, null=True, verbose_name='Date de fin')),
('export_status', models.CharField(choices=[('pending', 'En attente'), ('running', 'En cours'), ('done', 'Terminé'), ('error', 'Erreur')], default='pending', max_length=16, verbose_name='Status exportation')),
('export_exported_at', models.DateTimeField(blank=True, null=True, verbose_name='Exportation terminée à')),
('scanning_status', models.CharField(choices=[('pending', 'En attente'), ('running', 'En cours'), ('done', 'Terminé'), ('error', 'Erreur')], default='pending', max_length=16, verbose_name='Status scanning')),
('scanning_finished_at', models.DateTimeField(blank=True, null=True, verbose_name='Balayage terminé à')),
('author', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='Auteur')),
('export_task', models.OneToOneField(blank=True, help_text="Programmation de l'exportation des vidéos et images", null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='export_session', to='django_celery_beat.periodictask', verbose_name='Export médias')),
('scanning_task', models.OneToOneField(blank=True, help_text='Programmation du lancement du balayage', null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='scanning_session', to='django_celery_beat.periodictask', verbose_name='Lancer le balayage')),
],
options={
'verbose_name': 'Session',
'verbose_name_plural': 'Sessions',
'ordering': ['-created'],
},
),
migrations.CreateModel(
name='Well',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('name', models.CharField(blank=True, help_text='Nom du puit: Ai..Di', max_length=4, null=True, unique=True, verbose_name='Nom')),
('author', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='Auteur')),
],
options={
'verbose_name': 'Puit',
'verbose_name_plural': 'Puits',
'ordering': ['name'],
},
),
migrations.CreateModel(
name='SessionExperiment',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('author', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='Auteur')),
('experiment', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='session_experiments', to='scanner.experiment', verbose_name='Expérience')),
('session', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='scanner.session', verbose_name='Session')),
],
options={
'verbose_name': "Expérience d'une session",
'verbose_name_plural': "Expériences d'une session",
'ordering': ['session'],
'unique_together': {('session', 'experiment')},
},
),
migrations.CreateModel(
name='ExperimentWell',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('active', models.BooleanField(default=True, verbose_name='Active')),
('author', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='Auteur')),
('experiment', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='experimentwell', to='scanner.experiment', verbose_name='Expérience')),
('well', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='wellexperiment', to='scanner.well', verbose_name='Puit')),
],
options={
'verbose_name': 'Expérience puit',
'verbose_name_plural': 'Expériences puits',
'ordering': ['experiment', 'well'],
'unique_together': {('experiment', 'well')},
},
),
migrations.CreateModel(
name='WellPosition',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('order', models.PositiveSmallIntegerField(default=0, help_text='Ordre de lecture du puit', verbose_name='Ordre')),
('x', models.FloatField(default=10.0, help_text='Axe X en mm', verbose_name='X')),
('y', models.FloatField(default=10.0, help_text='Axe Y en mm', verbose_name='Y')),
('px_per_mm', models.FloatField(default=50.0, help_text='Facteur de calibration optique', verbose_name='Pixels par mm')),
('author', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to=settings.AUTH_USER_MODEL, verbose_name='Auteur')),
('multiwell', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='scanner.multiwell', verbose_name='Multi-puits')),
('well', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to='scanner.well', verbose_name='Puit')),
],
options={
'verbose_name': 'Position du puit',
'verbose_name_plural': 'Position des puits',
'ordering': ['order'],
'unique_together': {('multiwell', 'well')},
},
),
]
@@ -0,0 +1,17 @@
# Generated by Django 6.0.5 on 2026-05-31 07:43
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('scanner', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='multiwell',
name='crop_radius',
),
]
@@ -0,0 +1,18 @@
# Generated by Django 6.0.5 on 2026-05-31 07:43
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('scanner', '0002_remove_multiwell_crop_radius'),
]
operations = [
migrations.AddField(
model_name='multiwell',
name='crop_radius',
field=models.PositiveSmallIntegerField(default=500, help_text='Rayon en pixels pour recadrer les images en px', verbose_name='Rayon de découpe recadrage'),
),
]
@@ -0,0 +1,44 @@
# Generated by Django 6.0.5 on 2026-05-31 11:01
import django.db.models.deletion
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('scanner', '0003_multiwell_crop_radius'),
]
operations = [
migrations.AlterField(
model_name='configuration',
name='calibration_default_multiwell',
field=models.CharField(choices=[('HG', 'MP 6x24: HG-Haut gauche'), ('HD', 'MP 6x24: HD-Haut droit'), ('BG', 'MP 6x24: BG-Bas gauche'), ('BD', 'MP 6x24: BD-Bas droit'), ('HG_6', 'MP 2x3: HG-Haut gauche'), ('HD_6', 'MP 2x3: HD-Haut droit'), ('BG_6', 'MP 2x3: BG-Bas gauche'), ('BD_6', 'MP 2x3: BD-Bas droit'), ('HG_12', 'MP 3x4: HG-Haut gauche'), ('HD_12', 'MP 3x4: HD-Haut droit'), ('BG_12', 'MP 3x4: BG-Bas gauche'), ('BD_12', 'MP 3x4: BD-Bas droit'), ('HG_48', 'MP 6x8: HG-Haut gauche'), ('HD_48', 'MP 6x8: HD-Haut droit'), ('BG_48', 'MP 6x8: BG-Bas gauche'), ('BD_48', 'MP 6x8: BD-Bas droit')], default='HG', help_text='Position du multi-puits de calibration par défaut', max_length=8, verbose_name='Multi-puits de calibration par défaut'),
),
migrations.AlterField(
model_name='multiwell',
name='position',
field=models.CharField(choices=[('HG', 'MP 6x24: HG-Haut gauche'), ('HD', 'MP 6x24: HD-Haut droit'), ('BG', 'MP 6x24: BG-Bas gauche'), ('BD', 'MP 6x24: BD-Bas droit'), ('HG_6', 'MP 2x3: HG-Haut gauche'), ('HD_6', 'MP 2x3: HD-Haut droit'), ('BG_6', 'MP 2x3: BG-Bas gauche'), ('BD_6', 'MP 2x3: BD-Bas droit'), ('HG_12', 'MP 3x4: HG-Haut gauche'), ('HD_12', 'MP 3x4: HD-Haut droit'), ('BG_12', 'MP 3x4: BG-Bas gauche'), ('BD_12', 'MP 3x4: BD-Bas droit'), ('HG_48', 'MP 6x8: HG-Haut gauche'), ('HD_48', 'MP 6x8: HD-Haut droit'), ('BG_48', 'MP 6x8: BG-Bas gauche'), ('BD_48', 'MP 6x8: BD-Bas droit')], help_text='Position du multi-puits sur la table', max_length=8, null=True, unique=True, verbose_name='Position'),
),
migrations.CreateModel(
name='VideoPlate',
fields=[
('id', models.BigAutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('label', models.CharField(blank=True, max_length=200, verbose_name='Label')),
('video_file', models.FileField(blank=True, null=True, upload_to='videos/', verbose_name='Fichier vidéo')),
('active', models.BooleanField(default=True, verbose_name='Active')),
('uploaded_at', models.DateTimeField(auto_now_add=True, verbose_name='Déposé le')),
('native_fps', models.FloatField(blank=True, null=True, verbose_name='FPS natif')),
('duration_s', models.FloatField(blank=True, null=True, verbose_name='Durée (s)')),
('frame_w', models.PositiveIntegerField(blank=True, null=True, verbose_name='Largeur (px)')),
('frame_h', models.PositiveIntegerField(blank=True, null=True, verbose_name='Hauteur (px)')),
('multiwell', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='video_plates', to='scanner.multiwell', verbose_name='Multi-puits')),
],
options={
'verbose_name': 'Vidéo plaque',
'verbose_name_plural': 'Vidéos plaque',
'ordering': ['multiwell__order', '-uploaded_at'],
},
),
]
@@ -0,0 +1,22 @@
# Generated by Django 6.0.5 on 2026-06-02 08:25
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('scanner', '0004_add_videoplate'),
]
operations = [
migrations.AlterModelOptions(
name='multiwell',
options={'ordering': ['label', 'order'], 'verbose_name': 'Multi-puits', 'verbose_name_plural': 'Multi-puits'},
),
migrations.AddField(
model_name='multiwell',
name='capture_video',
field=models.BooleanField(default=False, help_text='Ce multi-puit servira pour la capture vidéo', verbose_name='Capture vidéo'),
),
]
@@ -0,0 +1,23 @@
# Generated by Django 6.0.5 on 2026-06-02 08:28
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('scanner', '0005_alter_multiwell_options_multiwell_capture_video'),
]
operations = [
migrations.AlterField(
model_name='multiwell',
name='capture_video',
field=models.BooleanField(default=False, help_text='Ce multi-puit servira pour la capture vidéo', verbose_name='Vidéo'),
),
migrations.AlterField(
model_name='multiwell',
name='default',
field=models.BooleanField(default=False, help_text='Multi-puit par défaut', verbose_name='Défaut'),
),
]
@@ -0,0 +1,18 @@
# Generated by Django 6.0.5 on 2026-06-02 09:51
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('scanner', '0006_alter_multiwell_capture_video_and_more'),
]
operations = [
migrations.AddField(
model_name='videoplate',
name='px_per_mm',
field=models.FloatField(default=15.0, help_text='Facteur pixels/mm dans la vidéo plaque. À calibrer selon la résolution de la caméra plaque.', verbose_name='Pixels par mm (vidéo plaque)'),
),
]
@@ -0,0 +1,29 @@
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('scanner', '0007_add_videoplate_px_per_mm'),
]
operations = [
migrations.AddField(
model_name='videoplate',
name='x_origin_mm',
field=models.FloatField(
default=0.0,
verbose_name='Origine X (mm)',
help_text='Position CNC X correspondant au pixel 0 de la vidéo plaque (mm). Défaut 0.',
),
),
migrations.AddField(
model_name='videoplate',
name='y_origin_mm',
field=models.FloatField(
default=0.0,
verbose_name='Origine Y (mm)',
help_text='Position CNC Y correspondant au pixel 0 de la vidéo plaque (mm). Défaut 0.',
),
),
]
@@ -0,0 +1,23 @@
# Generated by Django 6.0.5 on 2026-06-03 09:13
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('scanner', '0008_add_videoplate_origin'),
]
operations = [
migrations.AlterField(
model_name='videoplate',
name='x_origin_mm',
field=models.FloatField(default=0.0, help_text='Position CNC X correspondant au bord gauche de la vidéo plaque (mm). Défaut 0.', verbose_name='Origine X (mm)'),
),
migrations.AlterField(
model_name='videoplate',
name='y_origin_mm',
field=models.FloatField(default=0.0, help_text='Position CNC Y correspondant au bord haut de la vidéo plaque (mm). Défaut 0.', verbose_name='Origine Y (mm)'),
),
]
+254 -42
View File
@@ -4,22 +4,36 @@
from django.utils.translation import gettext_lazy as _
import uuid
import json
from pathlib import Path
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")),
('BM', _("BM-Bas milieu")),
('HM', _("HM-Haut milieu")),
('HG', _("MP 4x6: HG-Haut gauche")),
('HD', _("MP 4x6: HD-Haut droit")),
('BG', _("MP 4x6: BG-Bas gauche")),
('BD', _("MP 4x6: BD-Bas droit")),
('HG_6', _("MP 2x3: HG-Haut gauche")),
('HD_6', _("MP 2x3: HD-Haut droit")),
('BG_6', _("MP 2x3: BG-Bas gauche")),
('BD_6', _("MP 2x3: BD-Bas droit")),
('HG_12', _("MP 3x4: HG-Haut gauche")),
('HD_12', _("MP 3x4: HD-Haut droit")),
('BG_12', _("MP 3x4: BG-Bas gauche")),
('BD_12', _("MP 3x4: BD-Bas droit")),
('HG_48', _("MP 6x8: HG-Haut gauche")),
('HD_48', _("MP 6x8: HD-Haut droit")),
('BG_48', _("MP 6x8: BG-Bas gauche")),
('BD_48', _("MP 6x8: BD-Bas droit")),
('HG_96', _("MP 8x12: HG-Haut gauche")),
('HD_96', _("MP 8x12: HD-Haut droit")),
('BG_96', _("MP 8x12: BG-Bas gauche")),
('BD_96', _("MP 8x12: BD-Bas droit")),
]
FOURCC_FORMAT = [
@@ -35,12 +49,18 @@ VIDEO_TYPE = [
CAPTURE_TYPE = [
('rpi', _("Arducam")),
('webcam', _("Webcam")),
('file', _("mp4")),
('file', _("Simulation Fichier vidéo (mp4, avi)")),
('video', _("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)
author = models.ForeignKey(User, on_delete=models.SET_NULL, 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)
@@ -51,7 +71,8 @@ class Configuration(models.Model):
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)
capture_type = models.CharField(_("Capture"), help_text=_("Type de capture. Nécessite un redémarrage en cas de modification à chaud!"), 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)
@@ -59,6 +80,7 @@ class Configuration(models.Model):
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)
@@ -66,10 +88,17 @@ class Configuration(models.Model):
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()
@@ -83,7 +112,7 @@ class Configuration(models.Model):
return f'{self.name}'
class Well(models.Model):
author = models.ForeignKey(User, on_delete=models.CASCADE, verbose_name="Auteur", null=True, blank=True)
author = models.ForeignKey(User, on_delete=models.SET_NULL, 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:
@@ -91,26 +120,27 @@ class Well(models.Model):
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)
author = models.ForeignKey(User, on_delete=models.SET_NULL, 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)
default = models.BooleanField(_("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")
crop_radius = models.PositiveSmallIntegerField(_("Rayon de découpe recadrage"), help_text=_("Rayon en pixels pour recadrer les images en px"), blank=False, default=500)
# Balayage
order = models.PositiveSmallIntegerField(_("Ordre"), help_text=_('Ordre de lecture du multi-puit'), blank=False, default=0)
duration = models.PositiveIntegerField(_("Durée"), help_text=_('Durée du film en secondes'), blank=False, default=120)
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)
@@ -119,9 +149,9 @@ class MultiWell(models.Model):
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)
capture_video = models.BooleanField(_("Vidéo"), help_text=_('Ce multi-puit servira pour la capture vidéo'), default=False)
active = models.BooleanField(_("Active"), default=True)
def config(self):
return dict(
position=self.position,
@@ -154,7 +184,7 @@ class MultiWell(models.Model):
return MultiWell.objects.filter(active=True).all()
class Meta:
ordering = ['order', ]
ordering = ['label', 'order', ]
verbose_name = _("Multi-puits")
verbose_name_plural = _("Multi-puits")
@@ -164,7 +194,7 @@ class MultiWell(models.Model):
class WellPosition(models.Model):
author = models.ForeignKey(User, on_delete=models.CASCADE, verbose_name="Auteur", null=True, blank=True)
author = models.ForeignKey(User, on_delete=models.SET_NULL, 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)
@@ -175,13 +205,17 @@ class WellPosition(models.Model):
@classmethod
def active_well(cls, multiwel, well):
return WellPosition.objects.filter(multiwel_id=multiwel.id, well_id=well.id).first()
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 d'un puit")
verbose_name = _("Position du puit")
verbose_name_plural = _("Position des puits")
def __str__(self):
@@ -190,8 +224,8 @@ class WellPosition(models.Model):
@receiver(post_save, sender=MultiWell)
def create_well_position(sender, instance, created, **kwargs):
if created:
pass
#if created:
# pass
if not instance.well_position:
row_order = instance.row_order.split(',')
n = 0
@@ -222,19 +256,33 @@ def create_well_position(sender, instance, created, **kwargs):
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)
author = models.ForeignKey(User, on_delete=models.CASCADE, verbose_name="Auteur", 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.SET_NULL, 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.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.title}: {self.created} {self.multiwell.order}'
return f'{self.identifier} [ {self.title} ]'
class Session(models.Model):
@@ -246,10 +294,10 @@ class Session(models.Model):
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)
author = models.ForeignKey(User, on_delete=models.SET_NULL, 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)
expected_export = models.DateTimeField(_("Exportation auto"), help_text=_("Date d'exportation prévue"), null=True, blank=True)
expected_scanning = models.DateTimeField(_("Bbalayage auto"), 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)
@@ -271,14 +319,19 @@ class Session(models.Model):
scanning_finished_at = models.DateTimeField(_("Balayage terminé à"), null=True, blank=True)
@classmethod
def get_session(cls, sid):
return Session.objects.filter(pk=sid).first()
class Meta:
ordering = ['-created', ]
verbose_name = _("Session d'expérience")
verbose_name_plural = _("Sessions d'expériences")
verbose_name = _("Session")
verbose_name_plural = _("Sessions")
def __str__(self):
state = _("Terminée") if not self.active else _("Active")
return f'{self.name}: {state}'
return f'[ {self.pk} ] {self.name} ({state})'
@receiver(post_save, sender=Session)
@@ -305,8 +358,8 @@ def create_periodic_task(sender, instance, created, **kwargs):
)
# Sauvegarde sans re-déclencher le signal
Session.objects.filter(pk=instance.pk).update(export_task=export_task)
except:
pass
except Exception as e:
print("create_periodic_task error", e)
if instance.expected_scanning:
try:
@@ -340,15 +393,21 @@ def delete_periodic_task(sender, instance, **kwargs):
instance.scanning_task.delete()
def get_uuid_from_session(session_id, multiwel_position, well_name):
return f'{session_id}-{multiwel_position}-{well_name}'
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")
author = models.ForeignKey(User, on_delete=models.SET_NULL, verbose_name="Auteur", null=True, blank=True)
session = models.ForeignKey(Session, verbose_name=_("Session"), on_delete=models.CASCADE, null=True, blank=True)
experiment = models.ForeignKey(Experiment, verbose_name=_("Expérience"), on_delete=models.CASCADE, 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)]
@@ -361,13 +420,166 @@ class SessionExperiment(models.Model):
uuid_list.append(uuid)
return uuid_list
@classmethod
def get_uuid(cls, session_id, experiment_id, well_name):
ss = SessionExperiment.objects.filter(session__id=session_id, experiment_id=experiment_id).first()
if ss:
return get_uuid_from_session(session_id, ss.experiment.multiwel.position, well_name)
return None
class Meta:
ordering = ['session',]
unique_together = ["session", "experiment"]
verbose_name = _("Session expérience")
verbose_name_plural = _("Sessions expériences")
verbose_name = _("Expérience d'une session")
verbose_name_plural = _("Expériences d'une session")
def __str__(self):
return f'{self.session.name}'
return f'{self.session.id}: {self.experiment.title}'
class ExperimentWell(models.Model):
author = models.ForeignKey(User, on_delete=models.SET_NULL, verbose_name="Auteur", null=True, blank=True)
experiment = models.ForeignKey(Experiment, verbose_name=_("Expérience"), on_delete=models.CASCADE, 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}'
class VideoPlate(models.Model):
"""Vidéo d'une plaque multi-puits entière, utilisée en mode capture_type='video'."""
multiwell = models.ForeignKey(
MultiWell,
on_delete=models.CASCADE,
verbose_name=_("Multi-puits"),
related_name='video_plates',
)
label = models.CharField(_("Label"), max_length=200, blank=True)
video_file = models.FileField(
_("Fichier vidéo"),
upload_to='videos/',
null=True,
blank=True,
)
active = models.BooleanField(_("Active"), default=True)
uploaded_at = models.DateTimeField(_("Déposé le"), auto_now_add=True)
# Calibration vidéo plaque : pixels par mm dans la vidéo (≠ calibration caméra individuelle)
px_per_mm = models.FloatField(
_("Pixels par mm (vidéo plaque)"),
default=15.0,
help_text=_("Facteur pixels/mm dans la vidéo plaque. À calibrer selon la résolution de la caméra plaque."),
)
# Origine : position CNC (mm) correspondant au pixel (0, 0) de la vidéo.
# Indépendant de MultiWell.xbase — ne change pas à la recalibration des puits.
x_origin_mm = models.FloatField(
_("Origine X (mm)"),
default=0.0,
help_text=_("Position CNC X correspondant au bord gauche de la vidéo plaque (mm). Défaut 0."),
)
y_origin_mm = models.FloatField(
_("Origine Y (mm)"),
default=0.0,
help_text=_("Position CNC Y correspondant au bord haut de la vidéo plaque (mm). Défaut 0."),
)
# Métadonnées extraites automatiquement à l'upload
native_fps = models.FloatField(_("FPS natif"), null=True, blank=True)
duration_s = models.FloatField(_("Durée (s)"), null=True, blank=True)
frame_w = models.PositiveIntegerField(_("Largeur (px)"), null=True, blank=True)
frame_h = models.PositiveIntegerField(_("Hauteur (px)"), null=True, blank=True)
@classmethod
def active_for(cls, multiwell_position: str) -> "VideoPlate | None":
return cls.objects.filter(multiwell__position=multiwell_position, active=True).first()
@classmethod
def active_video(cls) -> "VideoPlate | None":
return cls.objects.filter(active=True).first()
@property
def video_filename(self) -> str:
return Path(self.video_file.name).name if self.video_file else ""
@property
def resolution(self) -> str:
if self.frame_w and self.frame_h:
return f"{self.frame_w}×{self.frame_h}"
return ""
class Meta:
ordering = ['multiwell__order', '-uploaded_at']
verbose_name = _("Vidéo plaque")
verbose_name_plural = _("Vidéos plaque")
def __str__(self) -> str:
return f"{self.multiwell.position}{self.label or self.video_filename}"
@receiver(post_save, sender=VideoPlate)
def notify_video_plate_change(sender, instance, **kwargs):
"""Hot swap : publie sur Redis quand une vidéo active est enregistrée."""
if not instance.active or not instance.video_file:
return
try:
from redis import Redis
from django.conf import settings as django_settings
r = Redis(
host=django_settings.REDIS_HOST,
port=django_settings.REDIS_PORT,
db=0,
decode_responses=True,
)
r.publish('scanner_proc', json.dumps({
'type': 'scanner',
'topic': 'video_plate',
'multiwell': instance.multiwell.position,
'path': instance.video_file.path,
}))
except Exception:
pass
@receiver(post_delete, sender=VideoPlate)
def delete_video_file(sender, instance, **kwargs):
"""Supprime le fichier physique quand l'enregistrement est effacé."""
if instance.video_file:
path = Path(instance.video_file.path)
path.unlink(missing_ok=True)
@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,
}
)
+211 -57
View File
@@ -7,20 +7,21 @@ Created on 20 avr. 2026
@author: denis
'''
import logging
import time
from threading import Thread, Event
#from django.utils.translation import gettext_lazy as _
from django.utils import timezone
from django.utils.html import mark_safe
from django.utils.safestring import mark_safe
from django.conf import settings
from planarian.models import ExperimentConfig
from . import models
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
class WellIterator:
"""Itérateur personnalisé pour naviguer dans les Wells"""
@@ -75,8 +76,11 @@ class WellIterator:
class MultiWellManager:
def __init__(self, process):
self.process = process
self.cnc_controller = process.grbl
logger.info(f"MultiWellManager initialized with CNC controller: {self.cnc_controller}")
self.stop_playing = Event()
self.well_iterator = None
self.multiwel = None
@@ -85,83 +89,190 @@ class MultiWellManager:
self.scan_thread = None
self.test_thread = None
self.tracker_config = dict(
tube_axis = settings.TRACKER_TUBE_AXIS,
min_area_px = self.process.conf.min_area_px,
max_area_ratio = self.process.conf.max_area_ratio,
max_planarians = self.process.conf.max_planarians,
merge_kernel_size = self.process.conf.merge_kernel_size,
min_contour_dist_px = self.process.conf.min_contour_dist_px,
)
def set_tracker_config(self):
self.tracker_config = dict(
tube_axis = settings.TRACKER_TUBE_AXIS,
min_area_px = self.process.conf.min_area_px,
max_area_ratio = self.process.conf.max_area_ratio,
max_planarians = self.process.conf.max_planarians,
merge_kernel_size = self.process.conf.merge_kernel_size,
min_contour_dist_px = self.process.conf.min_contour_dist_px,
)
logger.info(f"Tracker config: {self.tracker_config}")
def set_default_values(self, feed=None, step=None, duration=None):
self._feed = feed or self.process.conf.calibration_default_feed
self._step = step or self.process.conf.calibration_default_step
self._duration = duration or self.process.conf.calibration_default_duration
self.px_per_mm = 50.0
def set_multiwell(self, position=None):
if position is None:
self.multiwell = models.MultiWell.objects.filter(default=True).first()
else:
self.multiwell = models.MultiWell.by_position(position)
wells = models.WellPosition.objects.filter(multiwell_id=self.multiwell.id).order_by('order').all()
def init_manager_values(self):
wells = models.WellPosition.objects.filter(multiwell_id=self.multiwell.pk).order_by('order').all() # type: ignore[union-attr]
self.well_iterator = WellIterator(wells)
self.position = self.multiwell.position
self._xbase = self.multiwell.xbase
self._ybase = self.multiwell.ybase
self._dx = self.multiwell.dx
self._dy = self.multiwell.dy
def set_multiwell(self, position=None):
if position is None:
self.multiwell = models.MultiWell.objects.filter(default=True).first()
else:
self.multiwell = models.MultiWell.by_position(position)
self.init_manager_values()
return self.multiwell.config()
def set_first_multiwell_from_session(self, sid):
experiments = models.SessionExperiment.experiment_by_session(sid)
if experiments:
self.multiwell = experiments[0].multiwell
self.init_manager_values()
def multiwell_buttons(self):
def multiwell_buttons(self, btn_class="w3-button", onclick=''' onclick="goto_well(this)"'''):
multiwells = []
multiwells.append('''<div class="w3-border well-btn">''')
for wl in self.well_iterator:
multiwells.append(f"""<button class="w3-button well" value="{wl.order}" onclick="goto_well(this)">{wl.well.name}</button>""")
multiwells.append(f"""<button class="{btn_class} well" value="{wl.order}"{onclick}>{wl.well.name}</button>""")
multiwells.append('''</div>''')
self.well_iterator.reset()
return mark_safe("\n".join(multiwells))
def set_circular_crop(self, crop_radius):
crop = self.process.set_crop_radius(crop_radius)
self.process.cam.set_circular_crop(crop)
def _grid_scanning_capture(self, uuid, duration):
def update_crop_radius(self, value):
self.multiwell.crop_radius = value
self.multiwell.save()
def _grid_scanning_capture(self, experiment, well_position, simulate=False):
uuid = None
try:
well = well_position.well
multiwell = experiment.multiwell
# En mode video le crop_radius est piloté par _capture_video_simulation
if self.process.conf.capture_type != 'video':
self.set_circular_crop(multiwell.crop_radius)
## create uuid for this capture
uuid = f'{self.process.data.session}-{multiwell.position}-{well.name}'
if self.process.use_tracking:
cfg = ExperimentConfig.objects.filter(experiment_key_id=experiment.id, well=well.name).first()
if not cfg:
raise Exception(f"Configuration d'expérience introuvable pour {experiment} / {well}")
# reset PlanarianTracker => on_well_change
self.process.cam.on_well_change(cfg, uuid=uuid, draw_contours=False)
## start recording
self.process.data.uuid = uuid
if not simulate:
self.process.data.record = True
self.process._send(current=well_position.order)
msg = f"Starting capture for {uuid} ordre: {well_position.order}"
logger.info(msg)
self.process._send(well_state=msg)
start = time.monotonic()
while not self.stop_playing.is_set():
if time.monotonic() - start > duration:
## stop after duration in experiemnt now
if time.monotonic() - start > experiment.duration:
break
self.cnc_controller.wait_for(1.0)
self.cnc_controller.wait_for(0.1)
self.process.cam._flush_current_well(uuid)
logger.info(f"Arrêter l'enregistrement {uuid}")
self.process.data.record = False
self.process.data.uuid = None
msg = f"{uuid}: capture done..."
except Exception as e:
msg = f"error during capture - {e}"
logger.error(msg)
finally:
self.process.cam._flush_current_well(uuid)
def _grid_scanning(self, experiment, xnext=0, ynext=0):
logger.info(msg)
self.process._send(scan_state=msg)
def _capture_file_simulation(self, name):
vf = settings.MEDIA_ROOT / 'simulation' / f'{name}.mp4'
if vf.exists():
self.process.cam._video_file = str(vf)
self.process.cam._error_occured = True
logger.info(f"Simulating capture with file {vf}")
def _capture_video_simulation(self, well_position):
"""Met à jour VideoPlateCapture : crop_radius depuis MultiWell.crop_radius."""
cam = self.process.cam
r = well_position.multiwell.crop_radius
if hasattr(cam, 'set_crop_radius_px'):
cam.set_crop_radius_px(r)
self.set_circular_crop(r)
logger.info(f"video_simulation: {well_position.well.name} crop_r={r}px")
def _is_well_valid(self, welposition, experiment):
names = models.ExperimentWell.wellname_by_experiment(experiment.id)
if welposition.well.name not in names:
return False
return True
def _grid_scanning(self, experiment, xnext=0, ynext=0, simulate=False):
try:
multiwell = experiment.multiwell
wells = models.WellPosition.objects.filter(multiwell_id=multiwell.id).order_by('order').all()
wellpositions = models.WellPosition.objects.filter(multiwell_id=multiwell.id).order_by('order').all()
cam = self.process.cam
cam._aligner.set_tube_diameter(multiwell.diameter)
self.stop_playing = Event()
for wl in wells:
for wl in wellpositions:
if self.stop_playing.is_set():
break
if not self._is_well_valid(wl, experiment):
continue
self.cnc_controller.move_to(wl.x, wl.y, feed=wl.multiwell.feed)
uuid = f'{self.process.data.session}-{multiwell.position}-{wl.well.name}'
self._grid_scanning_capture(uuid, multiwell.duration)
## change file
if self.process.conf.capture_type == 'file':
self.process.cam._error_occured = True
self._capture_file_simulation(wl.well.name)
elif self.process.conf.capture_type == 'video':
self._capture_video_simulation(wl)
self.process._send(scan_state=f"{uuid}: capture")
logger.info(f"Scan terminé — retour à l'origine (X={xnext:.1f} Y={ynext:.1f})")
self.cnc_controller.move_to(xnext, ynext, feed=multiwell.feed*2)
self._grid_scanning_capture(experiment, wl, simulate=simulate)
msg =f"Scan terminé — retour à l'origine (X={xnext:.1f} Y={ynext:.1f})"
logger.info(msg)
self.process._send(state='scan_finished', msg=msg)
return True
except Exception as e:
msg = f"Error during grid scanning - {e}"
logger.error(msg)
self.process._send(state='error', msg=msg)
return False
finally:
self.cnc_controller.move_to(xnext, ynext, feed=self.feed*2)
def _start_scanning(self, session, experiments):
def _start_scanning(self, session, experiments, simulate=False):
result = False
try:
self.process.get_config() # get video configuration if updated
self.process.cam._aligner.debug = False
self.stop_playing.clear()
xynext = []
for obs in experiments:
xynext.append((obs.multiwell.xbase, obs.multiwell.ybase))
@@ -171,20 +282,26 @@ class MultiWellManager:
self.process.data.session = session.id
started = timezone.now()
for obs in experiments:
msg = f"Starting scan for {obs} (well {pos}/{len(experiments)})"
logger.warning(msg)
self.process._send(well_state=msg)
if self.stop_playing.is_set():
break
obs.started = timezone.now()
obs.save()
xnext, ynext = xynext[pos]
pos +=1
self._grid_scanning(obs, xnext=xnext, ynext=ynext)
result = self._grid_scanning(obs, xnext=xnext, ynext=ynext, simulate=simulate)
obs.finished = timezone.now()
obs.save()
session.finished = timezone.now()
if self.stop_playing.is_set():
if self.stop_playing.is_set() or not result:
msg = f"Session {session.name} abandonnée à {session.finished} après {session.finished - started} secondes."
else:
if not simulate:
session.active = False
if session.scanning_task:
session.scanning_task.enabled = False
@@ -192,7 +309,12 @@ class MultiWellManager:
msg = f"Session {session.name} terminée à {session.finished} après {session.finished - started} secondes."
logger.info(msg)
self.process._send(scan_state=msg)
except Exception as e:
logger.error("Error during scanning process", e)
finally:
self.scan_thread = None
self.goto_0()
self.process._send(current=self.get_well_order())
def halt_scanning(self):
@@ -200,36 +322,65 @@ class MultiWellManager:
self.stop_playing.set()
self.well_iterator.reset()
self.process.cam._aligner.debug = False
self.scan_thread = None
self.test_thread = None
def scanning(self, sid):
try:
def scan_process(self, sid, simulate=False):
if self.scan_thread:
return
session = models.Session.objects.get(pk=sid)
experiments = models.SessionExperiment.experiment_by_session(sid)
self.scan_thread = Thread(target=self._start_scanning, args=(session, experiments, ), daemon=True).start()
except Exception as e:
print("MultiWellManager::scan error", e)
self.scan_thread = Thread(target=self._start_scanning, args=(session, experiments, simulate, ), daemon=True)
self.scan_thread.start()
def previous_well(self):
wl = self.well_iterator.previous()
if self.process.conf.capture_type == 'file':
self._capture_file_simulation(wl.well.name)
elif self.process.conf.capture_type == 'video':
self._capture_video_simulation(wl)
self.cnc_controller.move_to(wl.x, wl.y, feed=wl.multiwell.feed)
return {"state": "previous", "msg": f">>> ({wl.x}, {wl.y})"}
return {"state": "previous", "msg": f">>> {wl.well.name}: ({wl.x}, {wl.y})"}
def next_well(self):
wl = self.well_iterator.next()
if self.process.conf.capture_type == 'file':
self._capture_file_simulation(wl.well.name)
elif self.process.conf.capture_type == 'video':
self._capture_video_simulation(wl)
self.cnc_controller.move_to(wl.x, wl.y, feed=wl.multiwell.feed)
return {"state": "next", "msg": f">>> ({wl.x}, {wl.y})"}
return {"state": "next", "msg": f">>> {wl.well.name}: ({wl.x}, {wl.y})"}
def goto_well(self, numwell):
wl = self.well_iterator.seek(numwell)
if self.process.conf.capture_type == 'file':
self._capture_file_simulation(wl.well.name)
elif self.process.conf.capture_type == 'video':
self._capture_video_simulation(wl)
self.cnc_controller.move_to(wl.x, wl.y, feed=wl.multiwell.feed)
return {"state": "goto", "msg": f">>> ({wl.x}, {wl.y})"}
return {"state": "goto", "msg": f">>> {wl.well.name}: ({wl.x}, {wl.y})"}
def goto_xy(self):
wl = self.well_iterator.seek(0)
if self.process.conf.capture_type == 'file':
self._capture_file_simulation(wl.well.name)
elif self.process.conf.capture_type == 'video':
self._capture_video_simulation(wl)
self.cnc_controller.move_to(self.xbase, self.ybase, feed=self.feed)
def goto_0(self):
self.well_iterator.reset()
if self.process.conf.capture_type == 'file':
self._capture_file_simulation('zero')
elif self.process.conf.capture_type == 'video':
# Plein cadre : désactiver le masque circulaire pour ne pas rogner la vue d'ensemble
self.process.cam.set_circular_crop(None)
self.cnc_controller.move_to(0, 0, feed=self.feed*2)
def set_well_position(self):
wl = self.well_iterator.get_current()
@@ -243,17 +394,22 @@ class MultiWellManager:
def _scanning_test(self, auto=False):
self.stop_playing = Event()
self.stop_playing.clear()
cam = self.process.cam
cam._aligner.set_tube_diameter(self.multiwell.diameter)
duration = self.duration if not auto else settings.CALIBRATION_AUTO_DURATION
try:
start_test = time.monotonic()
try:
for wl in self.well_iterator:
if self.stop_playing.is_set():
break
self.cnc_controller.wait_for(2.0)
self.cnc_controller.move_to(wl.x, wl.y, feed=wl.multiwell.feed)
if self.process.conf.capture_type == 'file':
self._capture_file_simulation(wl.well.name)
elif self.process.conf.capture_type == 'video':
self._capture_video_simulation(wl)
self.process._send(current=wl.order)
start = time.monotonic()
@@ -287,23 +443,24 @@ class MultiWellManager:
self.process._send(state='center', msg=msg)
self.cnc_controller.wait_for(0.1)
logger.info("Fin du centrage")
logger.info("Fin du test")
except Exception as e:
print(e)
logger.error("Error during scanning test", e)
finally:
self.test_thread = None
self.well_iterator.reset()
self.process.cam._aligner.debug = False
logger.info(f"Scan terminé — retour à l'origine (X=0, Y=0) en {int(time.monotonic()-start_test)} s")
self.cnc_controller.move_to(0, 0, feed=self.multiwell.feed*2)
self.test_thread = None
self.goto_0()
self.process._send(current=self.get_well_order())
def scan_test(self, auto=False):
if self.test_thread:
return
self.test_thread = Thread(target=self._scanning_test, args=(auto, ), daemon=True).start()
self.test_thread = Thread(target=self._scanning_test, args=(auto, ), daemon=True)
self.test_thread.start()
@property
def position(self):
@@ -369,14 +526,12 @@ class MultiWellManager:
def dy(self, value):
self._dy = value
def get_well_order(self):
wl = self.well_iterator.get_current()
if wl:
return wl.order
return None
def set_position(self):
x, y = self.cnc_controller.get_mpos()
self.cnc_controller.wait_for(2.0)
@@ -387,17 +542,16 @@ class MultiWellManager:
wl.px_per_mm = self.px_per_mm
wl.save()
def calib_toggle_debug(self):
""" Active / désactive le mode debug sur le stream."""
aligner = self.process.cam._aligner
aligner.debug = not aligner.debug
return {"state": "debug", "msg": f"Debug: {aligner.debug}"}
return {"state": "debug", "value": aligner.debug, "msg": f"Debug: {aligner.debug}"}
def set_calib_debug(self, value=True):
""" Active / désactive le mode debug sur le stream."""
aligner = self.process.cam._aligner
aligner.debug = value
return {"state": "debug", "msg": f"Debug: {aligner.debug}"}
return {"state": "debug", "value": aligner.debug, "msg": f"Debug: {aligner.debug}"}
+209 -51
View File
@@ -21,20 +21,25 @@ from celery.exceptions import Ignore
from celery.utils.log import get_task_logger
from redis import Redis
from dataclasses import dataclass
from modules import reductstore, grbl, utils
from modules import reductstore, utils, planarian_metrics
## camera devices
from modules.circular_crop import CircularCrop, CropStrategy
from .multiwell import MultiWellManager
from .constants import ScannerConstants
from . import models
from .models import MultiWell
# CNC
if not settings.GRBL_SIMULATION:
from modules.grbl import GRBLController # @UnusedImport
else:
from modules.grbl_simulator import GRBLController # @Reimport
@dataclass
class ProcessData:
play: bool = True
record: bool = False
uuid: str = None
uuid: str | None = None
session: int = 0
tube_diameter: float = 16.0
@@ -42,6 +47,8 @@ class ProcessData:
logger = get_task_logger(__name__)
redisDB = Redis(host=settings.REDIS_HOST, port=settings.REDIS_PORT, db=0, decode_responses=True)
cameraDB = reductstore.ReductStore(name='camera')
planarianDB = planarian_metrics.ReductStoreClient(url=settings.REDUCTSTORE_URL, token=settings.REDUCTSTORE_TOKEN)
async_to_sync(planarianDB.connect)()
class CameraRecordManager():
@@ -139,11 +146,12 @@ class CameraRecordManager():
class ScannerProcess(Task):
name='scanner.scanner_process'
def __init__(self):
super().__init__()
self.channel_layer = get_channel_layer()
self.group = f'scanner_proc'
self.group = 'scanner_proc'
self.stop_event = Event()
self.cam = None
self.grbl = None
@@ -153,6 +161,7 @@ class ScannerProcess(Task):
self.data = ProcessData()
self.manager = None
self.recordDB = CameraRecordManager(cameraDB)
self.metricDB = planarianDB
def __call__(self, *args, **kwargs):
return self.start(*args, **kwargs)
@@ -160,9 +169,13 @@ class ScannerProcess(Task):
def set_crop_radius(self, radius):
return CircularCrop(radius=radius, strategy=CropStrategy.CROP_JPEG, jpeg_quality=self.image_quality)
def start(self, *args, **kwargs):
try:
self.conf = ScannerConstants().get()
def get_config(self):
'''
Constants:
reset si besoin les constantes vidéo
'''
self.constants = ScannerConstants()
self.conf = self.constants.get()
self.use_tracking = self.conf.tracking
self.video_quality = self.conf.video_jpeg_quality
@@ -170,25 +183,29 @@ class ScannerProcess(Task):
self.video_fps = self.conf.video_frame_rate
self.video_width = self.conf.video_width_capture
self.video_height = self.conf.video_height_capture
self.crop_radius = self.conf.calibration_crop_radius
self.video_jpg_quality = [int(cv2.IMWRITE_JPEG_QUALITY), self.video_quality]
self.image_jpg_quality = [int(cv2.IMWRITE_JPEG_QUALITY), self.image_quality]
return self.conf
def save_config(self):
pass
def start(self, *args, **kwargs):
try:
self.get_config()
self.grbl_xmax = self.conf.grbl_xmax
self.grbl_ymax = self.conf.grbl_ymax
self.crop = self.set_crop_radius(self.crop_radius)
capture_type = self.conf.capture_type
if capture_type == 'file':
video_lists = []
wells = models.Well.objects.all()
for wl in wells:
video_lists.append(str( settings.MEDIA_ROOT / 'simulation' / f'{wl.name}.mp4') )
from modules.videofile_capture import VideoFileCapture
self.cam = VideoFileCapture(
video_file=settings.MEDIA_ROOT / 'simulation' / 'A1.mp4',
video_file=settings.MEDIA_ROOT / 'simulation' / 'default_simulation.mp4',
fps=self.video_fps,
width=self.video_width,
height=self.video_height,
@@ -196,7 +213,29 @@ class ScannerProcess(Task):
use_tracking=self.use_tracking,
display=self._display,
parent=self,
video_lists=video_lists,
)
elif capture_type == 'video':
from modules.videoplate_capture import VideoPlateCapture
from .models import VideoPlate
vp = VideoPlate.active_video()
if not vp:
raise Exception("Aucun VideoPlate actif trouvé — créer un enregistrement dans l'admin.")
initial_path = vp.video_file.path if vp.video_file else None
mw = vp.multiwell
self.cam = VideoPlateCapture(
video_dir=settings.MEDIA_ROOT / 'videos',
fps=self.video_fps,
jpeg_quality=self.video_quality,
use_tracking=self.use_tracking,
display=self._display,
parent=self,
crop_radius_px=mw.crop_radius,
px_per_mm=vp.px_per_mm,
x_offset_mm=vp.x_origin_mm,
y_offset_mm=vp.y_origin_mm,
initial_video_path=initial_path,
)
elif capture_type == 'webcam':
from modules.webcam_capture import WebcamCapture
@@ -226,7 +265,12 @@ class ScannerProcess(Task):
self.cam._active_median = False
self.cam.set_circular_crop(None)
self.grbl = grbl.GRBLController(
# Mode vidéo : toujours simuler le GRBL (pas de CNC physique)
if capture_type == 'video':
from modules.grbl_simulator import GRBLController as _GRBLCtrl
else:
_GRBLCtrl = GRBLController
self.grbl = _GRBLCtrl(
send_callback=self._display,
x_max=self.conf.grbl_xmax,
y_max=self.conf.grbl_ymax
@@ -234,6 +278,8 @@ class ScannerProcess(Task):
self.stop_event.clear()
self.start_services()
return self.name
except Exception as e:
logger.error(f"Scanner started error: {e}")
raise Ignore()
@@ -250,11 +296,14 @@ class ScannerProcess(Task):
self.stop_event.set()
def start_services(self):
Thread(target=self._listen_to_redis, daemon=True).start()
Thread(target=self._init_manager, daemon=True).start()
Thread(target=self._recording, daemon=True).start()
Thread(target=self._init_grbl, daemon=True).start()
Thread(target=self._listen_to_redis, daemon=True).start()
self.cam.start()
logger.warning(f"Scanner services started ...")
def _send(self, **payload):
async_to_sync(self.channel_layer.group_send)(
self.group, {
@@ -267,30 +316,53 @@ class ScannerProcess(Task):
if self.grbl:
self._send(**msg)
def _on_frame(self, jpeg_bytes: bytes, ts: datetime, metrics: dict) -> None:
def _store_metric(self, uuid, metrics, ts):
if not isinstance(metrics, list):
return
for r in metrics:
pid = r["planarian_id"]
record = self.cam._metrics[pid].update(r, well_radius_mm=self.cam._params.well_radius_mm)
async_to_sync(planarianDB.store_metric)(
record,
self.cam._params.experiment,
self.cam._params.well,
uuid=uuid,
planarian=pid,
ts_us=ts,
)
def _store_frame(self, uuid, frame, ts, frame_count):
labels = {
"fps": self.video_fps,
"record_type": 'frame',
"frame_count": frame_count,
}
self.recordDB.write(uuid, frame, ts=ts, labels=labels)
def _on_frame(self, jpeg_bytes: bytes, ts: datetime, metrics: dict, frame_count: int = 0) -> None:
try:
if self.data.record:
self.record_queue.put((self.data.uuid, ts, jpeg_bytes, metrics))
self.record_queue.put((self.data.uuid, ts, jpeg_bytes, metrics, frame_count))
if self.data.play:
self._send(ts=ts.timestamp(), jpeg=base64.b64encode(jpeg_bytes).decode(), **metrics)
jpeg=base64.b64encode(jpeg_bytes).decode()
self._send(ts=ts.timestamp(), jpeg=jpeg, frame_count=frame_count)
except Exception as e:
logger.error(e)
def _recording(self):
logger.info(f"Scanner {self.group}: start recorder")
while not self.stop_event.is_set():
try:
(uuid, ts, frame, metrics) = self.record_queue.get()
labels = dict(fps=self.video_fps, session=self.data.session, detected="1" if metrics.get("detected") else "0")
(uuid, ts, frame, metrics, frame_count) = self.record_queue.get()
if self.cam.use_tracking:
self._store_metric(uuid, metrics, ts.timestamp())
if metrics.get("detected"):
labels.update({
"cx" : str(metrics["cx"]),
"cy" : str(metrics["cy"]),
"area_px" : str(metrics["area_px"]),
"speed_px_s" : str(metrics["speed_px_s"]),
"axial_pos" : str(metrics["axial_pos"]),
"axial_speed" : str(metrics["axial_speed"]),
})
self._store_frame(uuid, frame, ts, frame_count)
self.recordDB.write(uuid, frame, labels, ts=ts)
self.record_queue.task_done()
except Exception as e:
logger.error(f'recorder: {e}')
@@ -302,18 +374,23 @@ class ScannerProcess(Task):
self._send(state='serial', msg=f"Connected {self.grbl.port}")
self.grbl.go_origin(feed=feed)
if self.conf.capture_type == 'file':
self.manager._capture_file_simulation('zero')
self.grbl.wait_for(2.0)
def _init_manager(self):
logger.info(f"==== Start MultiWellManager!")
self.manager = MultiWellManager(process=self)
self.manager.set_calib_debug(False)
Event().wait(2.0)
def _listen_to_redis(self):
try:
logger.info(f"==== Scanner {self.group}: listen via redisDB")
pubsub = redisDB.pubsub()
pubsub.subscribe(self.group)
#self._init_grbl()
self.manager = MultiWellManager(process=self)
self.manager.set_calib_debug(False)
try:
for message in pubsub.listen():
try:
#logger.info(f"{message}")
@@ -327,21 +404,58 @@ class ScannerProcess(Task):
continue
self._send(state=cmd["type"], msg=f"Cmd: {cmd.get('topic')} {cmd.get('value', '')}")
ctx = {}
if cmd["type"]=="scanner":
topic = cmd.get("topic")
if topic == 'init':
self.cam.set_circular_crop(self.crop)
sid = cmd.get("sid")
self.manager.set_first_multiwell_from_session(sid)
self.cam._active_median = False
self.grbl.go_origin(feed=self.manager.feed)
self.cam.set_edge_enhance(False)
if self.conf.capture_type == 'video':
elif topic == 'scan':
self.cam._active_crop = False
self.cam.set_circular_crop(None)
ctx = dict(state="crop", value=self.cam._active_crop)
else:
self.cam.set_circular_crop(self.crop)
self.grbl.go_origin(feed=self.manager.feed)
self.cam.set_draw_contours(False)
elif topic == 'video_plate':
new_path = cmd.get('path')
if new_path and hasattr(self.cam, 'set_video_file'):
self.cam.set_video_file(new_path)
self._send(state='video_plate', msg=f"Vidéo: {new_path}")
continue
elif topic == 'scan' or topic == 'simulate':
logger.info(f"==== Scan {cmd}")
sid = cmd.get("session", '0')
if sid == "0":
self._send(state='error', msg=str(_('La session est nulle!...')))
else:
try:
self.cam._active_median = False
self.manager.scanning(sid)
self.cam.set_edge_enhance(False)
simulate = (topic=='simulate')
self.manager.scan_process(sid, simulate)
self._send(state=topic, msg=str(_('Balayage démarré...')))
except Exception as e:
logger.error(f"Scan error: {e}")
self._send(state='error', msg=str(_('Erreur lors du démarrage du balayage...')))
continue
self._send(
buttons=self.manager.multiwell_buttons(btn_class="w3-btn well", onclick=""),
columns=self.manager.multiwell.cols,
current=self.manager.get_well_order(),
**ctx
)
elif cmd["type"]=="calibrate":
topic = cmd.get("topic")
value = cmd.get("value")
@@ -356,6 +470,8 @@ class ScannerProcess(Task):
self.manager.set_multiwell(position)
self.cam.set_circular_crop(None)
self.cam._active_median = False
self.cam.set_edge_enhance(False)
self.cam.set_draw_contours(False)
buttons = self.manager.multiwell_buttons()
elif topic == 'up':
@@ -372,18 +488,34 @@ class ScannerProcess(Task):
elif topic == 'median':
self.cam._active_median = not self.cam._active_median
self._send(state="median", value=self.cam._active_median, msg=f"Median: {self.cam._active_median}")
continue
elif topic == 'edge_enhance':
self.cam.set_edge_enhance(not self.cam._active_edge_enhance)
continue
elif topic == 'crop':
self.cam._active_crop = not self.cam._active_crop
self.cam.set_circular_crop(self.crop) if self.cam._active_crop else self.cam.set_circular_crop(None)
if self.cam._active_crop:
self.cam.set_circular_crop(self.crop)
# En mode vidéo, naviguer vers le premier puit (Base)
# pour que le crop circulaire soit aligné sur un puit réel
if self.conf.capture_type == 'video':
self.manager.goto_xy()
else:
self.cam.set_circular_crop(None)
self._send(state="crop", value=self.cam._active_crop, msg=f"Crop: {self.cam._active_crop}")
continue
elif topic == 'crop_radius':
self.conf.calibration_crop_radius=int(value)
self.crop = self.set_crop_radius(self.conf.calibration_crop_radius)
self.conf.save()
self.constants.save_config() # type: ignore[attr-defined]
self.cam.set_circular_crop(self.crop)
self.manager.update_crop_radius(int(value))
continue
elif topic == 'position':
@@ -400,12 +532,10 @@ class ScannerProcess(Task):
self.manager.duration = float(value)
elif topic == 'goto_0':
self.grbl.go_origin(feed=self.manager.feed)
self.manager.well_iterator.reset()
self.manager.goto_0()
elif topic == 'goto_xy':
self.grbl.move_to(self.manager.xbase, self.manager.ybase, feed=self.manager.feed)
self.manager.well_iterator.seek(0)
self.manager.goto_xy()
elif topic == 'xy_base':
self.manager.set_position()
@@ -417,6 +547,12 @@ class ScannerProcess(Task):
elif topic == 'auto':
self.manager.set_calib_debug(True)
self.cam.set_circular_crop(self.crop)
# En mode vidéo le puit remplit le crop (ratio ~0.50) ;
# en mode caméra le tube occupe ~30% du champ.
if self.conf.capture_type == 'video':
self.cam._aligner.set_radius_range(0.38, 0.47)
else:
self.cam._aligner.set_radius_range(0.26, 0.37)
self.manager.scan_test(auto=True)
continue
@@ -431,12 +567,22 @@ class ScannerProcess(Task):
elif topic == 'halt':
self.manager.halt_scanning()
elif topic == 'calib_debug':
if self.conf.capture_type == 'video':
self.cam._aligner.set_radius_range(0.38, 0.47)
else:
self.cam._aligner.set_radius_range(0.26, 0.37)
msg = self.manager.calib_toggle_debug()
self._send(**msg)
continue
elif topic == 'draw_debug':
a = self.cam._aligner
a.draw_annotations = not a.draw_annotations
self._send(state='draw_debug', value=a.draw_annotations,
msg=f"Draw debug: {a.draw_annotations}")
continue
elif topic == 'previous':
msg = self.manager.previous_well()
self._send(**msg)
@@ -453,6 +599,17 @@ class ScannerProcess(Task):
msg = self.manager.set_well_position()
self._send(**msg)
elif topic == 'draw':
draw = (value=="1")
self.cam.set_draw_contours(draw)
self._send(state=topic, msg=f"Tracking contour: {draw}")
elif topic in ['min_area_px', 'max_area_ratio', 'max_planarians', 'merge_kernel_size', 'min_contour_dist_px']:
value = int(value) if topic in ['min_area_px', 'max_planarians', 'merge_kernel_size', 'min_contour_dist_px'] else float(value)
self.manager.tracker_config[topic] = value
self.cam.on_test_well_change(**self.manager.tracker_config)
self._send(state=topic, msg=f"Value changed {value}")
self._send(
xbase=self.manager.xbase,
ybase=self.manager.ybase,
@@ -463,6 +620,7 @@ class ScannerProcess(Task):
dx=self.manager.dx,
dy=self.manager.dy,
buttons=buttons,
columns=self.manager.multiwell.cols,
current=self.manager.get_well_order(),
)
except Exception as e:
@@ -624,12 +782,11 @@ class ReplayProcess(Task):
logger.info(f"==== ReplayProcess stopped.")
def _listen_to_redis(self):
try:
loop = None
logger.info(f"==== ReplayProcess {self.group}: listen via redisDB")
pubsub = redisDB.pubsub()
pubsub.subscribe(self.group)
try:
for message in pubsub.listen():
try:
if self.stop_event.is_set():
@@ -681,6 +838,7 @@ class ReplayProcess(Task):
logger.error(f'ReplayProcess::listen_to_redis: {e}')
finally:
self.running.set()
if loop:
utils.stop_async(loop)
pubsub.unsubscribe()
pubsub.close()
@@ -5,10 +5,8 @@
.well-btn {
display: grid;
grid-template-columns: repeat(6, 1fr);
grid-template-columns: repeat(var(--well-columns, 6), 1fr);
justify-items: center;
align-items: center;
}
@@ -1 +0,0 @@
@@ -0,0 +1,11 @@
.well {
padding: 0.2em;
}
.well-btn {
display: grid;
grid-template-columns: repeat(var(--well-columns, 6), 1fr);
justify-items: center;
align-items: center;
}
@@ -0,0 +1,72 @@
.video-drop-zone {
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
min-height: 80px;
margin-top: 8px;
padding: 12px 20px;
border: 2px dashed #aaa;
border-radius: 6px;
background: #f9f9f9;
cursor: pointer;
transition: border-color 0.2s, background 0.2s;
gap: 8px;
}
.video-drop-zone:hover,
.video-drop-zone.drag-over {
border-color: #417690;
background: #e8f3fb;
}
.video-drop-zone.has-file {
border-style: solid;
border-color: #28a745;
background: #f0fff4;
}
.video-drop-hint {
font-size: 0.9em;
color: #555;
pointer-events: none;
text-align: center;
}
.video-drop-zone.has-file .video-drop-hint {
color: #28a745;
font-weight: 600;
}
/* ---- Progress bar ---- */
.video-progress-wrap {
display: none;
width: 100%;
max-width: 360px;
}
.video-progress-bar-track {
width: 100%;
height: 10px;
background: #ddd;
border-radius: 5px;
overflow: hidden;
margin-bottom: 2px;
}
.video-progress-bar {
height: 10px;
width: 0%;
background: #417690;
border-radius: 5px;
transition: width 0.3s ease;
}
.video-progress-label {
display: block;
text-align: right;
font-size: 0.8em;
color: #417690;
font-weight: 600;
}
@@ -33,15 +33,26 @@ class ScannerManager {
this.well = options.well;
this.debug = options.debug;
this.calib_debug = options.calib_debug;
this.draw_debug = options.draw_debug;
this.calib_center= options.calib_center;
this.previous = options.previous;
this.next = options.next;
this.set_well = options.set_well;
this.well_btn = options.well_btn;
this.median = options.median;
this.edge_enhance = options.edge_enhance;
this.crop = options.crop;
this.crop_radius = options.crop_radius;
this.calib_auto = options.calib_auto;
try {
this.min_area_px = options.min_area_px;
this.max_area_ratio = options.max_area_ratio;
this.max_planarians = options.max_planarians;
this.merge_kernel_size = options.merge_kernel_size;
this.min_contour_dist_px = options.min_contour_dist_px;
this.draw = options.draw;
} catch(e) {}
}
init_controls() {
@@ -53,24 +64,35 @@ class ScannerManager {
this.goto_0.addEventListener('click', (e) => { this.clear_buttons(); this._send({ type: 'calibrate', topic: "goto_0" }); });
this.goto_xy.addEventListener('click', (e) => { this.clear_buttons(); this._send({ type: 'calibrate', topic: "goto_xy" }); });
this.xy_base.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "xy_base" }); });
this.calib_debug.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "calib_debug" }); });
this.previous.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "previous" }); });
this.next.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "next" }); });
this.set_well.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "set_well" }); });
this.median.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "median" }); });
this.edge_enhance.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "edge_enhance" }); });
this.crop.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "crop" }); });
this.crop_radius.addEventListener('change',(e) => { this._send({ type: 'calibrate', topic: "crop_radius", value: this.crop_radius.value }); });
this.well.addEventListener("change", (e) => { this._send({ type: 'calibrate', topic: "position", value: e.target.value }); });
this.step.addEventListener("change", (e) => { this._send({ type: 'calibrate', topic: "step", value: e.target.value }); });
this.feed.addEventListener("change", (e) => { this._send({ type: 'calibrate', topic: "feed", value: e.target.value }); });
this.duration.addEventListener("change", (e) => { this._send({ type: 'calibrate', topic: "duration", value: e.target.value }); });
this.test.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "test" }); });
this.halt.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "halt" }); });
this.calib_debug.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "calib_debug" }); });
this.draw_debug.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "draw_debug" }); });
try {
this.previous.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "previous" }); });
this.next.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "next" }); });
this.calib_center.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "center" }); });
this.calib_auto.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "auto" }); });
this.halt.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "halt" }); });
this.min_area_px.addEventListener('change', (e) => { this._send({ type: 'calibrate', topic: "min_area_px", value: e.target.value }); });
this.max_area_ratio.addEventListener('change', (e) => { this._send({ type: 'calibrate', topic: "max_area_ratio", value: e.target.value }); });
this.max_planarians.addEventListener('change', (e) => { this._send({ type: 'calibrate', topic: "max_planarians", value: e.target.value}); });
this.merge_kernel_size.addEventListener('change', (e) => { this._send({ type: 'calibrate', topic: "merge_kernel_size", value: e.target.value}); });
this.min_contour_dist_px.addEventListener('change', (e) => { this._send({ type: 'calibrate', topic: "min_contour_dist_px", value: e.target.value }); });
this.draw.addEventListener('click', (e) => { this._send({ type: 'calibrate', topic: "draw", value: e.target.value }); });
} catch(e) {console.log(e);}
}
registerSocket(socket) {
@@ -83,25 +105,32 @@ class ScannerManager {
if (payload.jpeg) { this.container.src = `data:image/jpeg;base64,${payload.jpeg}`; }
if (payload.xbase) { this.xbase.textContent = payload.xbase; this.ybase.textContent = payload.ybase; }
if (payload.xy) { this.x.textContent=payload.x.toFixed(2); this.y.textContent=payload.y.toFixed(2); }
if (payload.state) { this.debug.insertAdjacentHTML('afterbegin', `<li>[ ${++this.debug_count} - ${payload.state} ]: ${payload.msg}</li>`); }
if (payload.state) {
if (payload.state == 'debug') {
const span = this.calib_debug.querySelector("span.debug"); span.style.color = payload.value ? '#f0f': '#fff';
} else if (payload.state == 'draw_debug') {
const span = this.draw_debug.querySelector("span.draw_debug"); span.style.color = payload.value ? '#0ff' : '#888';
} else if (payload.state == 'median') {
const span = this.median.querySelector("span.median"); span.style.color = payload.value ? '#f0f' : '#fff';
} else if (payload.state == 'edge_enhance') {
const span = this.edge_enhance.querySelector("span.edge_enhance"); span.style.color = payload.value ? '#0ff' : '#fff';
} else if (payload.state == 'crop') {
const span = this.crop.querySelector("span.crop"); span.style.color = payload.value ? '#f0f' : '#fff';
}
this.debug.insertAdjacentHTML('afterbegin', `<li>[ ${++this.debug_count} - ${payload.state} ]: ${payload.msg}</li>`);
}
if (payload.ts) { this.ts.textContent = timestampToLocalISOString(payload.ts); }
if (payload.detected && use_tracking) {
this.cx.textContent = payload.cx; this.cy.textContent = payload.cy;
this.speed_px_s.textContent = payload.speed_px_s;
this.axial_speed.textContent = payload.axial_speed;
this.axial_pos.textContent = payload.axial_pos;
this.area_px.textContent = payload.area_px;
this.frame_count.textContent = payload.count;
if (payload.buttons) {
this.well_btn.innerHTML = payload.buttons;
document.documentElement.style.setProperty('--well-columns', payload.columns);
}
if (payload.buttons) { this.well_btn.innerHTML = payload.buttons; }
if (payload.current >= 0) {
document.querySelectorAll('button.w3-button.well').forEach(btn => {
if (btn.value==payload.current) { btn.classList.add('w3-green'); return; }
btn.classList.remove('w3-green');
});
}
} catch(e) { console.log(e); }
}
@@ -171,7 +171,7 @@ class ReplayManager {
const ok = confirm(`Télécharger le fichier ?\n\n${filename}`);
if (!ok) return false;
fetch(this.video_endpoint, {
csrfFetch(this.video_endpoint, {
method: 'POST',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({

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