Ubuntu
59 lines
2.0 KiB
Python
59 lines
2.0 KiB
Python
"""
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快速测试深度分析功能
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"""
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import requests
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API_BASE = "http://129.211.173.87:10001"
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def login():
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resp = requests.post(f"{API_BASE}/auth/login", json={
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"username": "admin",
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"password": "abcd1234"
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})
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return resp.json()["access_token"]
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token = login()
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headers = {"Authorization": f"Bearer {token}"}
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print("=" * 60)
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print("🧪 深度分析功能快速测试")
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print("=" * 60)
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# 1. 检查已有分析
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print("\n📋 当前分析列表:")
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resp = requests.get(f"{API_BASE}/deep-analysis/list?page=1&page_size=5", headers=headers)
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data = resp.json()
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print(f" 总数: {data.get('total', 0)}")
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for item in data.get('items', [])[:3]:
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icon = {'pending': '⏳', 'processing': '🔄', 'completed': '✅', 'failed': '❌'}.get(item['status'], '❓')
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print(f" {icon} [{item['id']}] {item['company_name']}: {item['status']}")
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if item.get('error_message'):
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print(f" ⚠️ {item['error_message'][:60]}...")
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# 2. 检查队列状态
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print("\n🎛️ 队列状态:")
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resp = requests.get(f"{API_BASE}/deep-analysis/queue/status", headers=headers)
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qs = resp.json()
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print(f" 队列中: {qs.get('queued_count', 0)} 个")
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print(f" 处理中: {'是' if qs.get('is_processing') else '否'}")
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# 3. 查看第一个分析的详情
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if data.get('items'):
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first = data['items'][0]
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print(f"\n📄 查看详情 (ID: {first['id']}):")
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resp = requests.get(f"{API_BASE}/deep-analysis/{first['id']}", headers=headers)
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if resp.status_code == 200:
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detail = resp.json()
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print(f" 公司: {detail.get('company_name')}")
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print(f" 状态: {detail.get('status')}")
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print(f" 模型: {detail.get('model_used')}")
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if detail.get('canvas_summary'):
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summary = detail['canvas_summary']
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print(f" 评分: {summary.get('overall_score', 'N/A')}")
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if detail.get('error_message'):
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print(f" 错误: {detail['error_message'][:80]}...")
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print("\n" + "=" * 60)
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print("✅ 测试完成!")
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print("=" * 60)
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