Add "watchedItems" statistic to /library view

Add query, display for "watchedItems" to library sections, where watchedItems is the number of items that have been played. This is different from "total plays", which accounts for items that have been played more than once.

Contents/Code/__init__.py

@@ -206,7 +206,9 @@ def Library():
     headers = sort_headers(["Container-Size", "Type"])
     Log.Debug("Here's where we fetch some library stats.")
     sections = {}
-    records = query_library_stats(headers)
+    recs = query_library_stats(headers)
+    records = recs[0]
+    sec_counts = recs[1]
     for record in records:
         section = record["sectionTitle"]
         if section not in sections:
@@ -270,6 +272,10 @@ def Library():
             "playCount": play_count,
             "type": sec_type
         }
+        sec_unique_played = sec_counts.get(str(sec_id)) or None
+        if sec_unique_played is not None:
+            Log.Debug("Hey, we got the unique count")
+            section_data["watchedItems"] = sec_unique_played["viewedItems"]
         ac = AnyContainer(section_data, "Section", "False")
         for child in section_children:
             ac.add(child)
@@ -951,8 +957,32 @@ def query_library_stats(headers):
                 dicts["banner"] = "/library/metadata/" + str(ratingkey) + "/banner/"
 
             results.append(dicts)
+        count_query = """select mi.total_items, miv.viewed_count, mi.metadata_type, mi.library_section_id
+FROM (
+    select count(metadata_type) as total_items, metadata_type, library_section_id
+    FROM metadata_items
+    group by metadata_type, library_section_id
+) as mi
+INNER JOIN (
+    select count(metadata_type) as viewed_count, metadata_type, library_section_id from (
+        select DISTINCT metadata_type, library_section_id, title, thumb_url
+        FROM metadata_item_views
+    ) as umiv
+    group by metadata_type, library_section_id
+) as miv
+ON miv.library_section_id = mi.library_section_id and miv.metadata_type = mi.metadata_type"""
+        sec_counts = {}
+        for total_items, viewed_count, meta_type, section_id in cursor.execute(count_query):
+            meta_type = META_TYPE_IDS.get(meta_type) or meta_type
+            dicts = {
+                "sectionId": section_id,
+                "type": meta_type,
+                "totalItems": total_items,
+                "viewedItems": viewed_count
+            }
+            sec_counts[str(section_id)] = dicts
         close_connection(connection)
-        return results
+        return [results, sec_counts]
     else:
         Log.Error("Error connecting to DB!")