fixed cam img strat again

server/nightr/app.py

@@ -85,7 +85,6 @@ def probabilities():
         # If this prediction disagrees with the consensus it contributed negatively
         if prediction["night"] != night:
             prediction["contribution"] *= -1
-
     return jsonify({
         "predictions": predictions,
         "weighted_probabilities_mean": mean,

server/nightr/strategies/miloStrats.py

@@ -11,15 +11,18 @@ def camImgStrat(context : Context) -> Prediction:
     The contents of the camera image
     """
     img = context.image
-    average = img.mean()
+    average = float(img.mean())
     p = Prediction()
-    p.weight = 0.7
-    if average < 100:
-        p.probability = 1.0
+    p.weight = 1.0
+
+    p.probability = 1 - round((average/255),3)
+    if average < 128:
+        p.weight = round(1 - (average/255), 3)
         p.reasons.append('Image was dark')
+
     else:
+        p.weight = round(average / 255, 3)
         p.reasons.append('Image was light')
-        p.probability = 0.0
     return p
 
 
@@ -45,7 +48,11 @@ def tv2newsStrat(context : Context) -> Prediction:
     """
     The number of articles releases in the last few hours on TV2.dk
     """
+
+    print('before')
     r = requests.get('http://mpx.services.tv2.dk/api/latest')
+    print('after')
+
     data = r.json()
     publish_dates = [(x['pubDate'])//1000 for x in data][:10]
     delta_times = []