Add sample scenario data and reporting updates

mockups/sample_report.py

@@ -2,11 +2,13 @@
 import math
 
 from database import connect
+from health_reports import window_metrics
+from datetime import timedelta
 
 
 def report():
     with connect() as conn:
-        for game in conn.execute("SELECT id,name FROM games WHERE properties->>'sampleVersion'='2' ORDER BY id").fetchall():
+        for game in conn.execute("SELECT id,name,sample_key,properties FROM games WHERE properties->>'sampleVersion'='3' ORDER BY id").fetchall():
             gid=game['id']
             summary=conn.execute('''WITH counts AS(SELECT player_id,count(*) n FROM sessions WHERE game_id=%s GROUP BY player_id)
               SELECT count(*) players,100.0*count(*) FILTER(WHERE n=1)/count(*) one_session FROM counts''',(gid,)).fetchone()
@@ -31,13 +33,33 @@ def report():
               AND ((latest_data->>'robux')::numeric<>robux_recorded OR (latest_data->>'purchases')::numeric<>products_bought)''',(gid,)).fetchone()['n']
             assert returns[0]>returns[1]>returns[2], (game,returns)
             assert 3<float(minutes)<30, (game,minutes)
-            assert summary['one_session']>50, (game,summary)
+            assert summary['one_session']>40, (game,summary)
             assert len(spending)<summary['players']*.1, (game,len(spending))
-            assert top_share>10, (game,top_share)
+            assert top_share>5, (game,top_share)
             assert bad_sales==0, (game,bad_sales)
             assert overlaps==0, (game,overlaps)
             assert bad_balances==0, (game,bad_balances)
             assert bad_snapshots==0, (game,bad_snapshots)
+            today=conn.execute('SELECT current_date today').fetchone()['today']
+            current=window_metrics(conn,gid,today-timedelta(days=7),today)
+            previous=window_metrics(conn,gid,today-timedelta(days=14),today-timedelta(days=7))
+            audience_ratio=current['average_dau']/previous['average_dau']
+            ccu_ratio=current['average_ccu']/previous['average_ccu']
+            scenario=game['properties']['sampleScenario']
+            if scenario=='stable':
+                assert .80<audience_ratio<1.20,(game['name'],audience_ratio)
+                assert .70<ccu_ratio<1.30,(game['name'],ccu_ratio)
+            elif scenario=='declining':
+                assert audience_ratio<.80,(game['name'],audience_ratio)
+                assert ccu_ratio<.80,(game['name'],ccu_ratio)
+            else:
+                assert audience_ratio>2,(game['name'],audience_ratio)
+                assert ccu_ratio>2,(game['name'],ccu_ratio)
+            groups=conn.execute("SELECT metadata->>'simulationGroup' persona,count(*) n FROM players WHERE game_id=%s GROUP BY persona",(gid,)).fetchall()
+            assert len(groups)==8,(game['name'],groups)
+            grinder_spend=conn.execute("SELECT coalesce(sum(s.unit_price_robux*s.quantity),0) robux FROM product_sales s JOIN players p ON p.game_id=s.game_id AND p.id=s.player_id WHERE s.game_id=%s AND p.metadata->>'simulationGroup'='grinder'",(gid,)).fetchone()['robux']
+            assert grinder_spend==0,(game['name'],grinder_spend)
+            print(f"  Scenario {scenario}: DAU {100*(audience_ratio-1):+.1f}%, CCU {100*(ccu_ratio-1):+.1f}% week-on-week; eight personalities present.")
             print(f"{game['name']}: {summary['players']:,} players | one session {summary['one_session']:.1f}% | average session {minutes:.1f} min")
             print(f"  D1/D7/D30: {' / '.join(f'{r:.2f}%' for r in returns)} | payers {len(spending):,} ({100*len(spending)/summary['players']:.1f}%) | top 1% payer revenue share {top_share:.1f}%")
         print('Sample distribution and timeline checks passed.')