David Blanc Brioir
d2f7165120
- Add complete Library RAG application (Flask + MCP server) - PDF processing pipeline with OCR and LLM extraction - Weaviate vector database integration (BGE-M3 embeddings) - Flask web interface with search and document management - MCP server for Claude Desktop integration - Comprehensive test suite (134 tests) - Clean up root directory - Remove obsolete documentation files - Remove backup and temporary files - Update autonomous agent configuration - Update prompts - Enhance initializer bis prompt with better instructions 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>
63 lines
2.1 KiB
Python
63 lines
2.1 KiB
Python
import asyncio
|
|
import sys
|
|
from pathlib import Path
|
|
sys.path.insert(0, str(Path(__file__).parent))
|
|
|
|
from mcp_client_reference import MCPClient
|
|
|
|
async def main():
|
|
client = MCPClient(server_path=str(Path(__file__).parent.parent / "mcp_server.py"), env={})
|
|
|
|
await client.start()
|
|
|
|
try:
|
|
print("=" * 70)
|
|
print("MCP CLIENT - FUNCTIONAL TESTS")
|
|
print("=" * 70)
|
|
|
|
# Test 1: Search chunks
|
|
print("\n[TEST 1] Search chunks (semantic search)")
|
|
result = await client.call_tool("search_chunks", {
|
|
"query": "nominalism realism debate",
|
|
"limit": 2
|
|
})
|
|
|
|
print(f"Results: {result['total_count']}")
|
|
for i, chunk in enumerate(result['results'], 1):
|
|
print(f" [{i}] {chunk['work_author']} - Similarity: {chunk['similarity']:.3f}")
|
|
print(f" {chunk['text'][:80]}...")
|
|
print("[OK]")
|
|
|
|
# Test 2: List documents
|
|
print("\n[TEST 2] List documents")
|
|
result = await client.call_tool("list_documents", {"limit": 5})
|
|
|
|
print(f"Total: {result['total_count']} documents")
|
|
for doc in result['documents'][:3]:
|
|
print(f" - {doc['source_id']} ({doc['work_author']}): {doc['chunks_count']} chunks")
|
|
print("[OK]")
|
|
|
|
# Test 3: Filter by author
|
|
print("\n[TEST 3] Filter by author")
|
|
result = await client.call_tool("filter_by_author", {
|
|
"author": "Charles Sanders Peirce"
|
|
})
|
|
|
|
print(f"Author: {result['author']}")
|
|
print(f"Works: {result['total_works']}")
|
|
print(f"Documents: {result['total_documents']}")
|
|
if 'total_chunks' in result:
|
|
print(f"Chunks: {result['total_chunks']}")
|
|
print("[OK]")
|
|
|
|
print("\n" + "=" * 70)
|
|
print("ALL TESTS PASSED - MCP CLIENT IS WORKING!")
|
|
print("=" * 70)
|
|
print("\nNote: author_filter and work_filter parameters are not supported")
|
|
print(" due to Weaviate v4 limitation. See examples/KNOWN_ISSUES.md")
|
|
|
|
finally:
|
|
await client.stop()
|
|
|
|
asyncio.run(main())
|