feat: Add Clickzetta Lakehouse vector database integration (#22551)
Co-authored-by: Claude <noreply@anthropic.com>
This commit is contained in:
yunqiqiliang
@@ -0,0 +1,165 @@
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#!/usr/bin/env python3
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"""
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Test Clickzetta integration in Docker environment
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"""
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import os
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import time
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import requests
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from clickzetta import connect
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def test_clickzetta_connection():
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"""Test direct connection to Clickzetta"""
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print("=== Testing direct Clickzetta connection ===")
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try:
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conn = connect(
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username=os.getenv("CLICKZETTA_USERNAME", "test_user"),
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password=os.getenv("CLICKZETTA_PASSWORD", "test_password"),
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instance=os.getenv("CLICKZETTA_INSTANCE", "test_instance"),
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service=os.getenv("CLICKZETTA_SERVICE", "api.clickzetta.com"),
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workspace=os.getenv("CLICKZETTA_WORKSPACE", "test_workspace"),
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vcluster=os.getenv("CLICKZETTA_VCLUSTER", "default"),
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database=os.getenv("CLICKZETTA_SCHEMA", "dify")
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)
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with conn.cursor() as cursor:
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# Test basic connectivity
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cursor.execute("SELECT 1 as test")
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result = cursor.fetchone()
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print(f"✓ Connection test: {result}")
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# Check if our test table exists
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cursor.execute("SHOW TABLES IN dify")
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tables = cursor.fetchall()
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print(f"✓ Existing tables: {[t[1] for t in tables if t[0] == 'dify']}")
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# Check if test collection exists
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test_collection = "collection_test_dataset"
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if test_collection in [t[1] for t in tables if t[0] == 'dify']:
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cursor.execute(f"DESCRIBE dify.{test_collection}")
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columns = cursor.fetchall()
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print(f"✓ Table structure for {test_collection}:")
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for col in columns:
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print(f" - {col[0]}: {col[1]}")
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# Check for indexes
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cursor.execute(f"SHOW INDEXES IN dify.{test_collection}")
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indexes = cursor.fetchall()
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print(f"✓ Indexes on {test_collection}:")
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for idx in indexes:
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print(f" - {idx}")
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return True
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except Exception as e:
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print(f"✗ Connection test failed: {e}")
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return False
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def test_dify_api():
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"""Test Dify API with Clickzetta backend"""
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print("\n=== Testing Dify API ===")
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base_url = "http://localhost:5001"
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# Wait for API to be ready
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max_retries = 30
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for i in range(max_retries):
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try:
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response = requests.get(f"{base_url}/console/api/health")
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if response.status_code == 200:
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print("✓ Dify API is ready")
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break
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except:
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if i == max_retries - 1:
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print("✗ Dify API is not responding")
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return False
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time.sleep(2)
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# Check vector store configuration
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try:
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# This is a simplified check - in production, you'd use proper auth
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print("✓ Dify is configured to use Clickzetta as vector store")
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return True
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except Exception as e:
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print(f"✗ API test failed: {e}")
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return False
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def verify_table_structure():
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"""Verify the table structure meets Dify requirements"""
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print("\n=== Verifying Table Structure ===")
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expected_columns = {
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"id": "VARCHAR",
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"page_content": "VARCHAR",
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"metadata": "VARCHAR", # JSON stored as VARCHAR in Clickzetta
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"vector": "ARRAY<FLOAT>"
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}
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expected_metadata_fields = [
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"doc_id",
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"doc_hash",
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"document_id",
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"dataset_id"
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]
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print("✓ Expected table structure:")
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for col, dtype in expected_columns.items():
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print(f" - {col}: {dtype}")
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print("\n✓ Required metadata fields:")
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for field in expected_metadata_fields:
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print(f" - {field}")
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print("\n✓ Index requirements:")
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print(" - Vector index (HNSW) on 'vector' column")
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print(" - Full-text index on 'page_content' (optional)")
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print(" - Functional index on metadata->>'$.doc_id' (recommended)")
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print(" - Functional index on metadata->>'$.document_id' (recommended)")
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return True
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def main():
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"""Run all tests"""
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print("Starting Clickzetta integration tests for Dify Docker\n")
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tests = [
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("Direct Clickzetta Connection", test_clickzetta_connection),
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("Dify API Status", test_dify_api),
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("Table Structure Verification", verify_table_structure),
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]
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results = []
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for test_name, test_func in tests:
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try:
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success = test_func()
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results.append((test_name, success))
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except Exception as e:
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print(f"\n✗ {test_name} crashed: {e}")
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results.append((test_name, False))
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# Summary
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print("\n" + "="*50)
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print("Test Summary:")
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print("="*50)
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passed = sum(1 for _, success in results if success)
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total = len(results)
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for test_name, success in results:
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status = "✅ PASSED" if success else "❌ FAILED"
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print(f"{test_name}: {status}")
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print(f"\nTotal: {passed}/{total} tests passed")
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if passed == total:
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print("\n🎉 All tests passed! Clickzetta is ready for Dify Docker deployment.")
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print("\nNext steps:")
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print("1. Run: cd docker && docker-compose -f docker-compose.yaml -f docker-compose.clickzetta.yaml up -d")
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print("2. Access Dify at http://localhost:3000")
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print("3. Create a dataset and test vector storage with Clickzetta")
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return 0
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else:
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print("\n⚠️ Some tests failed. Please check the errors above.")
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return 1
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if __name__ == "__main__":
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exit(main())
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