Maciej Pienczyn
110d971dca
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Production moved from on-prem VM 249 (10.22.68.249) to OVH VPS (57.128.200.27, inpi-vps-waw01). Updated ALL documentation, slash commands, memory files, architecture docs, and deploy procedures. Added |local_time Jinja filter (UTC→Europe/Warsaw) and converted 155 .strftime() calls across 71 templates so timestamps display in Polish timezone regardless of server timezone. Also includes: created_by_id tracking, abort import fix, ICS calendar fix for missing end times, Pros Poland data cleanup. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
103 lines
3.4 KiB
Markdown
103 lines
3.4 KiB
Markdown
# NordaBiz AI Chat Statistics
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Wyświetl statystyki użycia chatu AI (Google Gemini) w projekcie NordaBiz.
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## Kroki do wykonania:
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### 1. Podstawowe statystyki
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Wykonaj zapytania na bazie PostgreSQL (DEV via Docker):
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```bash
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docker exec nordabiz-postgres psql -U nordabiz_app -d nordabiz -c "
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SELECT '=== STATYSTYKI CHATU AI ===' as header;
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SELECT '--- Konwersacje ---' as section;
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SELECT 'Łącznie konwersacji: ' || COUNT(*) FROM ai_chat_conversations;
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SELECT 'Aktywne (ostatnie 7 dni): ' || COUNT(*) FROM ai_chat_conversations
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WHERE updated_at > NOW() - INTERVAL '7 days';
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SELECT '--- Wiadomości ---' as section;
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SELECT 'Łącznie wiadomości: ' || COUNT(*) FROM ai_chat_messages;
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SELECT 'Od użytkowników: ' || COUNT(*) FROM ai_chat_messages WHERE role='user';
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SELECT 'Od asystenta: ' || COUNT(*) FROM ai_chat_messages WHERE role='assistant';
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SELECT '--- Tokeny ---' as section;
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SELECT 'Input tokens: ' || COALESCE(SUM(input_tokens), 0) FROM ai_chat_messages;
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SELECT 'Output tokens: ' || COALESCE(SUM(output_tokens), 0) FROM ai_chat_messages;
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SELECT '--- Koszty (USD) ---' as section;
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SELECT 'Łączny koszt: \$' || ROUND(COALESCE(SUM(cost_usd), 0)::numeric, 4) FROM ai_chat_messages;
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SELECT 'Średni koszt/wiadomość: \$' || ROUND(COALESCE(AVG(cost_usd), 0)::numeric, 6) FROM ai_chat_messages WHERE role='assistant';
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SELECT '--- Wydajność ---' as section;
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SELECT 'Średni czas odpowiedzi: ' || ROUND(COALESCE(AVG(latency_ms), 0)::numeric, 0) || ' ms' FROM ai_chat_messages WHERE role='assistant';
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SELECT 'Max czas odpowiedzi: ' || COALESCE(MAX(latency_ms), 0) || ' ms' FROM ai_chat_messages WHERE role='assistant';
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"
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```
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### 2. Statystyki dzienne (ostatnie 7 dni)
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```bash
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docker exec nordabiz-postgres psql -U nordabiz_app -d nordabiz -c "
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SELECT '=== AKTYWNOŚĆ OSTATNIE 7 DNI ===' as header;
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SELECT DATE(created_at) as dzien, COUNT(*) as wiadomosci
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FROM ai_chat_messages
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WHERE created_at > NOW() - INTERVAL '7 days'
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GROUP BY DATE(created_at)
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ORDER BY dzien DESC;
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"
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```
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### 3. Top użytkownicy (jeśli są powiązania)
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```bash
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docker exec nordabiz-postgres psql -U nordabiz_app -d nordabiz -c "
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SELECT '=== TOP UŻYTKOWNICY ===' as header;
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SELECT c.user_id, COUNT(m.id) as wiadomosci
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FROM ai_chat_conversations c
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JOIN ai_chat_messages m ON c.id = m.conversation_id
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GROUP BY c.user_id
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ORDER BY wiadomosci DESC
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LIMIT 10;
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"
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```
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### 4. Koszty API (tabela ai_api_costs)
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```bash
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docker exec nordabiz-postgres psql -U nordabiz_app -d nordabiz -c "
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SELECT '=== KOSZTY API GEMINI ===' as header;
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SELECT
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DATE(created_at) as dzien,
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COUNT(*) as wywolania,
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SUM(input_tokens) as input_tok,
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SUM(output_tokens) as output_tok,
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ROUND(SUM(total_cost_usd)::numeric, 4) as koszt_usd
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FROM ai_api_costs
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WHERE created_at > NOW() - INTERVAL '30 days'
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GROUP BY DATE(created_at)
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ORDER BY dzien DESC
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LIMIT 10;
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"
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```
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### 5. Informacje o modelu
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```bash
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curl -s http://localhost:5000/api/model-info 2>/dev/null || curl -s http://localhost:5001/api/model-info 2>/dev/null
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```
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## Output:
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Podsumuj w czytelnej formie:
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| Metryka | Wartość |
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|---------|---------|
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| Konwersacje | X |
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| Wiadomości | X |
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| Tokeny (in/out) | X / X |
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| Koszt całkowity | $X.XX |
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| Śr. czas odpowiedzi | X ms |
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## Uwagi:
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- Google Gemini 3 Flash jest na free tier (0 cost)
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- Monitoruj tokeny dla kontroli limitów
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- Wysokie latency może wskazywać na problemy z API
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- DEV: `docker exec nordabiz-postgres psql -U nordabiz_app -d nordabiz`
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- PROD: `ssh maciejpi@57.128.200.27 "sudo -u postgres psql -d nordabiz"`
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