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PlanarianScanner/test_tube_scanner/planarian/views.py
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2026-05-11 23:04:04 +02:00

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9.6 KiB
Python

# planarian/views.py
#import asyncio
import logging
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.utils.translation import gettext_lazy as _
from django.shortcuts import render #, redirect
from django.views.decorators.http import require_GET, require_POST
from django.views.decorators.csrf import csrf_exempt
from django.contrib.auth.decorators import login_required, user_passes_test
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 scanner import models
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=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,
conf=conf,
**ctx
)
def get_active_experiments(session, expid=None):
if session:
experiments = models.SessionExperiment.experiment_by_session(session.id, active=True) or []
eid = [str(e.id) for e in experiments]
print(f"Found {eid} active experiments for session {session.id}")
if experiments and not expid or expid not in eid:
return experiments, experiments[0]
for e in experiments:
if expid == str(e.id):
return experiments, e
return [], None
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 = get_active_experiments(current_session, expid)
context = dict(
current_session = current_session,
current_experiment = current_experiment,
experiments=experiments or [],
sessions=models.Session.objects.filter(active=True).all(),
well_choices=models.Well.objects.order_by('name').all(),
)
return context
# ---------------------------------------------------------------------------
# Vue :Export CSV depuis ReductStore
# ---------------------------------------------------------------------------
def export_csv(request):
d = request.POST
@async_to_sync
async def _do_export():
client = _get_reduct_client()
await client.connect()
try:
csv_content, n = await client.export_csv_response(
experiment = d.get("experiment"),
well = d.get("well"),
planarian = d.get("planarian"),
record_type = d.get("record_type"),
start = d.get("start_dt"),
stop = d.get("stop_dt"),
)
print(f"Export CSV: export_csv_response done, {n} lignes, content size={len(csv_content)}, {csv_content}")
except Exception as e:
logger.error(f"Erreur export CSV: {e}")
messages.error(request, _("Erreur lors de l'export CSV: %(error)s") % {"error": str(e)})
return None, 0
return csv_content, n
csv_content, n = _do_export()
logger.info(f"Export CSV: {n} lignes, content size={len(csv_content)}")
if not csv_content:
messages.warning(request, _("Aucune donnée trouvée."))
return None
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(request, _("%(n)d lignes exportées.") % {"n": n})
return response
@login_required
def export_csv_view(request, session_id=None, experiment_id=None):
session_context = get_active_session(request, session_id, experiment_id)
if request.method == 'POST':
valid = request.POST.get('valid')
if valid == 'ok':
export_csv(request)
ctx = {
'choice_title': _("Export vers un fichier CSV depuis ReductStore"),
'well': 'A1',
'planarian': "0",
'record_type': 'frame',
**session_context
}
return render(request, "planarian/export_csv.html", context=global_context(request, **ctx))
# ---------------------------------------------------------------------------
# Vue : import CSV de paramètres
# ---------------------------------------------------------------------------
@login_required
def import_csv_view(request, session_id=None, experiment_id=None):
"""
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.
"""
ctx = {
'choice_title': _("Importer des configurations depuis un fichier CSV"),
}
return render(request, "planarian/import_params.html", context=global_context(request, **ctx))
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"]
created = 0
updated = 0
errors = 0
for row in rows:
try:
params = ExperimentParams.from_csv_row(row)
d = params.to_dict()
obj, is_new = ExperimentConfig.objects.get_or_create(
experiment = d["experiment"],
well = d["well"],
)
if is_new or overwrite:
for k, v in d.items():
if k not in ("experiment", "well") and hasattr(obj, k):
setattr(obj, k, v)
obj.save()
if is_new:
created += 1
else:
updated += 1
except Exception as e:
logger.warning(f"Ligne ignorée ({row}): {e}")
errors += 1
messages.success(
self.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")
def get_context_data(self, **kwargs):
context = super().get_context_data(**kwargs)
return global_context(self.request, choice_title=_("Importer des configurations depuis un fichier CSV"), **context)
# ---------------------------------------------------------------------------
# Vue API JSON : données de tracking (pour polling front-end)
# ---------------------------------------------------------------------------
class TrackingDataView(View):
"""
API JSON retournant les métriques de tracking d'un planaire.
Utilisable pour un affichage temps réel ou un graphe front-end.
GET /tracking-data/?experiment=X&well=Y&planarian=0&record_type=frame
"""
def get(self, request):
experiment = request.GET.get("experiment", "")
well = request.GET.get("well", "")
planarian = int(request.GET.get("planarian", 0))
record_type = request.GET.get("record_type", "frame")
if not experiment or not well:
return JsonResponse({"error": "experiment et well requis"}, status=400)
@async_to_sync
async def _fetch():
client = _get_reduct_client()
await client.connect()
try:
return await client.get_tracking_data(
experiment = experiment,
well = well,
planarian = planarian,
record_type = record_type,
)
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)
return global_context(self.request, choice_title=str(_("Métriques de tracking d'un planaire")), **context)