more graphs

web/chart_views.py

@@ -13,16 +13,9 @@ class UserChartsPie(DetailView):
   model = User
   pk_url_kwarg = 'user_id'
 
-  def render_to_response(self, context, **response_kwargs):
-    import matplotlib
-    matplotlib.use('Agg')
-    import matplotlib.pyplot as plt
-    fig = plt.figure(figsize=(6, 6), dpi=100)
-    ax = fig.add_subplot(111)
-
+  def pie_chart(self, plt, ax, logs):
     total_time = defaultdict(float)
 
-    logs = ActivityLog.objects.filter(user=self.object).all()
     for log in logs:
       total_time[str(log.activity)] += (log.end_time - log.start_time).total_seconds()
 
@@ -30,6 +23,51 @@ class UserChartsPie(DetailView):
 
     ax.pie(x=[i[1] for i in sectors], labels=[i[0] for i in sectors], autopct='%1.0f%%')
 
+  def average_chart(self, plt, ax, logs):
+    interval = timedelta(minutes=10)
+    interval_count = timedelta(days=1) // interval
+    intervals = [(interval * i) / timedelta(hours=1) for i in range(interval_count)]
+
+    distr_by_activity = {}
+    for i in logs:
+      if i.activity not in distr_by_activity:
+        distr_by_activity[i.activity] = np.zeros(interval_count)
+
+    for i in logs:
+      day = i.start_time.replace(hour=0, minute=0, second=0, microsecond=0)
+
+      t = i.start_time
+      t_i = (t - day) // interval
+
+      while t < i.end_time:
+        distr_by_activity[i.activity][t_i] += 1
+
+        t += interval
+        t_i = (t_i + 1) % interval_count
+
+    for activity, distr in distr_by_activity.items():
+      ax.plot(intervals, distr, label=f'{activity}')
+
+      distr[0] = 0
+      distr[-1] = 0
+      ax.fill(intervals, distr, alpha=0.2)
+
+    plt.legend()
+
+  def render_to_response(self, context, **response_kwargs):
+    logs = ActivityLog.objects.filter(user=self.object).all()
+
+    import matplotlib
+    matplotlib.use('Agg')
+    import matplotlib.pyplot as plt
+    fig = plt.figure(figsize=(12, 16), dpi=100)
+
+    ax = fig.add_subplot(221)
+    self.pie_chart(plt, ax, logs)
+
+    ax = fig.add_subplot(212)
+    self.average_chart(plt, ax, logs)
+
     buf = io.BytesIO()
     fig.savefig(buf, format='png')
     b = buf.getvalue()
@@ -84,30 +122,33 @@ class UserChartsActivityAll(DetailView):
     plt.yticks(days, [f'{i:%m-%d}' for i in days])
     plt.grid(True, zorder=1)
 
-  def render_to_response(self, context, **response_kwargs):
-    logs = list(ActivityLog.objects.filter(user=self.object, activity=context['activity']).order_by('start_time').all())
+  def average_chart(self, plt, ax, logs, day_l, day_r, day_count, days):
+    pass
 
+  def render_to_response(self, context, **response_kwargs):
+    logs = ActivityLog.objects.filter(user=self.object).all()
     day_r = logs[-1].end_time.replace(hour=0, minute=0, second=0, microsecond=0)
     day_l = max(
       logs[0].start_time.replace(hour=0, minute=0, second=0, microsecond=0),
       day_r - timedelta(days=13)
     )
-
     day_count = (day_r - day_l) // timedelta(days=1) + 1
-
     days = [day_l + timedelta(days=1) * i for i in range(day_count)]
 
     import matplotlib
     matplotlib.use('Agg')
     import matplotlib.pyplot as plt
-    fig = plt.figure(figsize=(16, 12), dpi=100)
+    fig = plt.figure(figsize=(8, 12), dpi=100)
 
-    ax = fig.add_subplot(211)
+    ax = fig.add_subplot(311)
     self.bar_chart(plt, ax, logs, day_l, day_r, day_count, days)
 
-    ax = fig.add_subplot(212)
+    ax = fig.add_subplot(312)
     self.tracker_chart(plt, ax, logs, day_l, day_r, day_count, days)
 
+    ax = fig.add_subplot(313)
+    self.average_chart(plt, ax, logs, day_l, day_r, day_count, days)
+
     buf = io.BytesIO()
     fig.savefig(buf, format='png')
     b = buf.getvalue()