Update chrono list

templates/followup/chronos/list.html

@@ -42,10 +42,6 @@
                             <a href="{% url 'chrono_update' chrono.id %}">
                                 <span class="tim-icons icon-pencil text-warning"></span>
                             </a>
-                            &nbsp;
-                            <a href="{% url 'jump_chrono_values_create_or_update' chrono.id %}">
-                                <span class="far fa-search-plus text-warning"></span>
-                            </a>
                         </td>
                         <td>{{ chrono.date | date:"d-m-Y" }}</td>
                         <td class="text-left">

ultron/people/urls.py

@@ -53,7 +53,7 @@ gymnast_urlpatterns = [
     ),
     path(
         r"report/<int:gymnast_id>/",
-        views.preview_gymnast_report,
+        views.generate_report,
         name="gymnast_report_preview",
     ),
     path(

ultron/people/views.py

@@ -157,70 +157,6 @@ def gymnast_details(request, gymnast_id, tab=None):
     return render(request, "people/gymnasts/details.html", context)
 
 
-@login_required
-@require_http_methods(["GET"])
-def preview_gymnast_report(request, gymnast_id):
-    """Génère la preview pour le rapport"""
-    if request.user.groups.filter(name="trainer").exists():
-        gymnast = get_object_or_404(Gymnast, pk=gymnast_id)
-    else:
-        gymnast = Gymnast.objects.get(user=request.user)
-
-    gymnast_nb_known_skills = gymnast.known_skills.distinct(
-        "skill"
-    ).count()  # devrait disparaitre
-
-    nb_skill = Skill.objects.all().count()
-    nb_known_skill = (
-        LearnedSkill.objects.filter(gymnast=gymnast_id).distinct("skill").count()
-    )
-
-    if nb_skill != 0:
-        percentage_known_skill = (nb_known_skill / nb_skill) * 100
-    else:
-        percentage_known_skill = 0
-
-    # base_queryset = Chrono.objects.filter(gymnast=gymnast_id).order_by("-date")
-    chronos_list = Chrono.objects.filter(gymnast=gymnast_id).order_by("-date")[:10]
-    straightjump_score = (
-        Chrono.objects.filter(gymnast=gymnast_id)
-        .filter(chrono_type=0)
-        .order_by("-date")
-    )
-    best_straightjump = (
-        Chrono.objects.filter(gymnast=gymnast_id)
-        .filter(chrono_type=0)
-        .order_by("-score")[:1]
-    )
-    best_tof_routine_1 = (
-        Chrono.objects.filter(gymnast=gymnast_id)
-        .filter(chrono_type=1)
-        .order_by("-score")[:1]
-    )
-    best_tof_routine_2 = (
-        Chrono.objects.filter(gymnast=gymnast_id)
-        .filter(chrono_type=2)
-        .order_by("-score")[:1]
-    )
-
-    context = {
-        "gymnast": gymnast,
-        "gymnast_nb_known_skills": gymnast_nb_known_skills,
-        "chronos_list": chronos_list,
-        "straightjump_score": straightjump_score,
-        "best_tof_routine_1": best_tof_routine_1,
-        "best_tof_routine_2": best_tof_routine_2,
-        "best_straightjump": best_straightjump,
-        "nb_skill": nb_skill,
-        "nb_known_skill": nb_known_skill,
-        "percentage_known_skill": percentage_known_skill,
-    }
-    context["user_is_trainer"] = request.user.groups.filter(
-        name="trainer"
-    ).exists()  # TODO: utiliser les {{ perms }}
-    return render(request, "people/gymnasts/report.html", context)
-
-
 @login_required
 @require_http_methods(["GET"])
 def generate_gymnast_report(request, gymnast_id):
@@ -629,6 +565,8 @@ def generate_report(request, gymnast_id):
     have_physiological = False
     if lasts_mindstate:
         mindstate_analyse = analyse_score(last_mindstate.score, lasts_mindstate)
+    else:
+        mindstate_analyse = None
 
     height_weight_queryset = HeightWeight.objects.filter(gymnast=gymnast).order_by(
         "-date"
@@ -639,9 +577,13 @@ def generate_report(request, gymnast_id):
 
     if lasts_height:
         height_analyse = analyse_score(last_height_weigth.height, lasts_height)
+    else:
+        height_analyse = None
 
     if lasts_weight:
         weight_analyse = analyse_score(last_height_weigth.weight, lasts_weight)
+    else:
+        weight_analyse = None
 
     #
     #   BEST TOF