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Expand dashboard analytics and document production implementation

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maxwes08
2026-11-03 14:49:01 +01:00
parent 70b94f8672
commit aa0028e7e0
36 changed files with 2212 additions and 76 deletions
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mockups/prompt_metrics.py Normal file
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"""Lightweight product-prompt measurements, separate from activity sessions."""
def prompt_analytics(conn,gid,days,source='all'):
if source not in ('all','game','player'):
from sample_api import ApiError
raise ApiError(400,'Unknown prompt source.')
products=conn.execute('''SELECT p.id,p.name,p.roblox_product_id,count(i.id)::int prompts,
count(i.id) FILTER(WHERE i.outcome='bought')::int bought,
count(i.id) FILTER(WHERE i.outcome='closed')::int closed,
count(i.id) FILTER(WHERE i.outcome IS NULL)::int unresolved,
avg(extract(epoch FROM i.ended_at-i.started_at)) FILTER(WHERE i.outcome='bought')::double precision buy_time,
avg(extract(epoch FROM i.ended_at-i.started_at)) FILTER(WHERE i.outcome='closed')::double precision close_time
FROM products p LEFT JOIN interaction_events i ON i.game_id=p.game_id AND i.product_id=p.id AND i.kind='product_prompt'
AND i.outcome IN ('bought','closed') AND i.ended_at IS NOT NULL AND i.trigger_source IN ('game','player')
AND i.started_at>=current_date-(%s-1) AND (%s='all' OR i.trigger_source=%s)
WHERE p.game_id=%s GROUP BY p.id ORDER BY p.id''',(days,source,source,gid)).fetchall()
for row in products: row['conversion']=100*row['bought']/row['prompts'] if row['prompts'] else None
daily=conn.execute('''SELECT (started_at AT TIME ZONE 'UTC')::date AS day,product_id,count(*)::int prompts,
count(*) FILTER(WHERE outcome='bought')::int bought,
avg(extract(epoch FROM ended_at-started_at)) FILTER(WHERE outcome='bought')::double precision buy_time,
avg(extract(epoch FROM ended_at-started_at)) FILTER(WHERE outcome='closed')::double precision close_time
FROM interaction_events WHERE game_id=%s AND kind='product_prompt'
AND outcome IN ('bought','closed') AND ended_at IS NOT NULL AND trigger_source IN ('game','player') AND started_at>=current_date-(%s-1)
AND (%s='all' OR trigger_source=%s) GROUP BY day,product_id ORDER BY day''',(gid,days,source,source)).fetchall()
totals=conn.execute('''SELECT count(*)::int prompts,count(*) FILTER(WHERE outcome='bought')::int bought,
avg(extract(epoch FROM ended_at-started_at)) FILTER(WHERE outcome='bought')::double precision buy_time,
avg(extract(epoch FROM ended_at-started_at)) FILTER(WHERE outcome='closed')::double precision close_time
FROM interaction_events WHERE game_id=%s AND kind='product_prompt'
AND outcome IN ('bought','closed') AND ended_at IS NOT NULL AND trigger_source IN ('game','player') AND started_at>=current_date-(%s-1)
AND (%s='all' OR trigger_source=%s)''',(gid,days,source,source)).fetchone()
totals['conversion']=100*totals['bought']/totals['prompts'] if totals['prompts'] else None
from datetime import datetime,timedelta,timezone
dates=[datetime.now(timezone.utc).date()-timedelta(days=i) for i in reversed(range(days))]
lookup={(r['product_id'],r['day']):r for r in daily}
series=[]
for p in products:
values=[]
for day in dates:
row=lookup.get((p['id'],day))
values.append(100*row['bought']/row['prompts'] if row and row['prompts'] else None)
series.append({'name':p['name'],'format':'percent','values':values})
grouped=conn.execute('''SELECT trigger_source source,count(*)::int prompts,
count(*) FILTER(WHERE outcome='bought')::int bought,count(*) FILTER(WHERE outcome='closed')::int closed,
count(*) FILTER(WHERE outcome IS NULL)::int unresolved,
avg(extract(epoch FROM ended_at-started_at)) FILTER(WHERE outcome='bought')::double precision buy_time,
avg(extract(epoch FROM ended_at-started_at)) FILTER(WHERE outcome='closed')::double precision close_time
FROM interaction_events WHERE game_id=%s AND kind='product_prompt'
AND outcome IN ('bought','closed') AND ended_at IS NOT NULL AND trigger_source IN ('game','player') AND started_at>=current_date-(%s-1)
GROUP BY trigger_source''',(gid,days)).fetchall()
labels={'game':'Game-induced','player':'Player-induced'}
by_source={r['source']:r for r in grouped}
comparison=[]
for key,name in labels.items():
row=by_source.get(key,{'source':key,'prompts':0,'bought':0,'closed':0,'unresolved':0,'buy_time':None,'close_time':None})
row['name']=name;row['conversion']=100*row['bought']/row['prompts'] if row['prompts'] else None
comparison.append(row)
source_days=conn.execute('''SELECT (started_at AT TIME ZONE 'UTC')::date AS day,trigger_source source,
count(*)::int prompts,count(*) FILTER(WHERE outcome='bought')::int bought
FROM interaction_events WHERE game_id=%s AND kind='product_prompt'
AND outcome IN ('bought','closed') AND ended_at IS NOT NULL AND trigger_source IN ('game','player') AND started_at>=current_date-(%s-1)
GROUP BY day,trigger_source''',(gid,days)).fetchall()
source_lookup={(r['source'],r['day']):r for r in source_days}
source_series=[]
for key,name in labels.items():
values=[]
for day in dates:
row=source_lookup.get((key,day))
values.append(100*row['bought']/row['prompts'] if row and row['prompts'] else None)
source_series.append({'name':name,'format':'percent','values':values})
return {'metrics':totals,'products':products,'source':source,'sourceComparison':comparison,
'sourceSeries':source_series,'series':series,'labels':[d.strftime('%d %b') for d in dates]}