pi_temp.py

@@ -69,8 +69,7 @@ def lab_temp():
 
 @app.route("/history", methods=['GET'])  #Add date limits in the URL #Arguments: from=2015-03-04&to=2015-03-05
 def history():
-	temperatures, humidities, timezone, from_date_str, to_date_str = get_records()
-
+    temperatures, humidities, timezone, from_date_str, to_date_str, range_hours = get_records()
     
 #   Create new record tables so that datetimes are adjusted back to the user browser's time zone.
     time_series_adjusted_temperatures  = []
@@ -122,9 +121,32 @@ def history():
     fig = Figure(data=data, layout=layout)
     graphJSON = json.dumps(fig, cls=plotly.utils.PlotlyJSONEncoder)
     
+    ## Duration of significant heat increases
+    # Timestep from raw database values for temperature
+    timestep_minutes = (datetime.datetime.strptime(temperatures[1][0], "%Y-%m-%d %H:%M:%S")-datetime.datetime.strptime(temperatures[0][0], "%Y-%m-%d %H:%M:%S")).seconds/60
+    # Calculate minutes for each streak
+    streak_minutes = streak_lengths(time_series_temperature_values)*timestep_minutes
+    
+    # Send output to page
     return render_template("history.html",  timezone = timezone,
                                             graphJSON = graphJSON,
+                                            total_minutes = sum(streak_minutes),
+                                            range_hours = range_hours
                                             )
+# Calculate streak lengths (https://stackoverflow.com/a/20614650/2152245)                                            
+def streak_lengths(temps):
+    if len(temps) < 2:
+        return len(temps)
+    else:
+        start, streaks = -1, []
+        for idx, (x, y) in enumerate(zip(temps, temps[1:])):
+            if x > y:
+                streaks.append(idx - start)
+                start = idx
+        else:
+            streaks.append(idx - start + 1) 
+        long_streaks = [x for x in streaks if x > 3]
+        return long_streaks
         
 def get_records():
     from_date_str   = request.args.get('from',time.strftime("%Y-%m-%d 00:00")) #Get the from date value from the URL
@@ -174,7 +196,7 @@ def get_records():
     humidities          = curs.fetchall()
     conn.close()
 
-	return [temperatures, humidities, timezone, from_date_str, to_date_str]
+    return [temperatures, humidities, timezone, from_date_str, to_date_str, range_h_int]
 
 def validate_date(d):
     try:

templates/history.html

@@ -77,6 +77,9 @@
         </form>          
       </div>
     </div>
+    
+    Furnace averaging {{ "%.2f" % (total_minutes/range_hours) }} minutes/hr ({{ total_minutes }} minutes total).
+
     <div class='row' id='plotly-plot'></div>
 
   </body>