From 81cfe9c9d82b699a055534d874252149a7c8bd80 Mon Sep 17 00:00:00 2001
From: pythagoraswitch <kiwako.sakamoto@gmail.com>
Date: Wed, 26 Sep 2018 23:56:29 +0200
Subject: [PATCH] removed the outdated portion: screening parameter etc

---
 recommendation_engine.py | 22 ++--------------------
 1 file changed, 2 insertions(+), 20 deletions(-)

diff --git a/recommendation_engine.py b/recommendation_engine.py
index 173550f..b3d9e4f 100644
--- a/recommendation_engine.py
+++ b/recommendation_engine.py
@@ -45,7 +45,6 @@ class Engine:
                 'channels': {
                     'globalKeywords': {'locked': False, 'value': 8},
                     'userKeywords': {'locked': False, 'value': 8}
-                    # 'screenings': {'locked': True, 'value': 2}
                 },
                 'globalKeywords': {},
             }
@@ -202,8 +201,7 @@ class Engine:
             }
 
 
-# NOTE for future improvement: vids_exclude element unit could be clip or in/out time pairs, rather than playlist. 
-# The same playlist could be played in the grid view as long as these are differenct clips or separate times.
+
     def get_recommendations(self, user, vids_exclude = []):
         channels = {k: v.get('value', 0) for k, v in self.state['channels'].items()}
         sliders = {k: v.get('value', 0) for k, v in self.state['globalKeywords'].items()}
@@ -255,23 +253,7 @@ class Engine:
             playlists,
             key=lambda playlist: -score[playlist['name']]
         )
-        videos += playlists[:channels['globalKeywords']]
-        playlists = playlists[channels['globalKeywords']:]
-        # Count products the user has seen
-        count = defaultdict(lambda: 0)
-        for event in user.get('events', []):
-            if event.get('data', {}).get('product'):
-                count[event['data']['product']] += 1
-        # For each product in playlist tags, increment score by count
-        for playlist in playlists:
-            score[playlist['name']] = random.random()
-            for tag in set(playlist['tags']) & set(count):
-                score[playlist['name']] += count[tag]
-        # Select highest scoring playlists
-        videos += sorted(
-            playlists,
-            key=lambda playlist: -score[playlist['name']]
-        )[:16 - channels['userKeywords'] - channels['globalKeywords']]
+        videos += playlists[:16 - channels['userKeywords']]
         # Shuffle playlists (randomize layout) and shift clips (randomize start)
         random.shuffle(videos)
         return [{