24 lines
1.3 KiB
Bash
24 lines
1.3 KiB
Bash
#!/bin/sh
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# e2e: /analyze после отказа от LLM — должен ответить правилами, БЕЗ ANTHROPIC_API_KEY
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set -e
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TOKEN=$(curl -s -m 8 -X POST localhost:8000/api/v1/auth/login \
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-H 'Content-Type: application/x-www-form-urlencoded' \
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--data 'username=admin&password=pass123' \
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| python3 -c 'import sys,json; print(json.load(sys.stdin)["access_token"])')
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echo "=== /analyze без LLM (bike 8yo 2h лес день) ==="
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curl -s -m 90 -X POST localhost:8000/api/v1/analyze \
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-H "Authorization: Bearer $TOKEN" \
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-H 'Content-Type: application/json' --data @/tmp/analyze-req.json > /tmp/analyze-nollm.json
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python3 - <<'PY'
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import json
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d = json.load(open('/tmp/analyze-nollm.json'))
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print('max_distance_km:', d['max_distance_km'])
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print('urgency:', d['urgency'])
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print('profiles:', [p.get('name') for p in d.get('active_profiles', [])])
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print('fallback_used:', d['fallback_used'])
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assert abs(d['max_distance_km'] - 5.4) < 1e-6, 'REGRESSION'
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assert d['fallback_used'] is True, 'rules mode expected'
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print('RULES-MODE E2E OK (5.4 км, локальный расчёт)')
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PY
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echo "=== env внутри контейнера (не должно быть ключей LLM) ==="
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docker exec vector-backend sh -c 'env | grep -i -E "anthropic|openai" || echo "no LLM keys — OK"' |