|
| 1 | +import logging |
| 2 | +import shutil |
| 3 | +import time |
| 4 | +from pathlib import Path |
| 5 | +from gptme_rag.benchmark import RagBenchmark |
| 6 | + |
| 7 | +# Configure logging to show only ERROR level |
| 8 | +logging.getLogger('chromadb').setLevel(logging.ERROR) |
| 9 | +logging.getLogger('gptme_rag').setLevel(logging.ERROR) |
| 10 | + |
| 11 | +# Create and clean test directories |
| 12 | +test_dir = Path("benchmark_data") |
| 13 | +index_dir = Path("benchmark_index") |
| 14 | + |
| 15 | +# Clean up any existing test data |
| 16 | +if test_dir.exists(): |
| 17 | + shutil.rmtree(test_dir) |
| 18 | +if index_dir.exists(): |
| 19 | + shutil.rmtree(index_dir) |
| 20 | + |
| 21 | +test_dir.mkdir(exist_ok=True) |
| 22 | + |
| 23 | +# Create test documents in a subdirectory |
| 24 | +docs_dir = test_dir / "docs" |
| 25 | +docs_dir.mkdir(exist_ok=True) |
| 26 | + |
| 27 | +# Create some test documents |
| 28 | +for i in range(10): |
| 29 | + content = f"""# Document {i} |
| 30 | +
|
| 31 | +This is test document {i} with some content about Python, documentation, and examples. |
| 32 | +
|
| 33 | +## Section 1 |
| 34 | +
|
| 35 | +Detailed content about programming concepts. |
| 36 | +
|
| 37 | +## Section 2 |
| 38 | +
|
| 39 | +More technical details and implementation examples. |
| 40 | +
|
| 41 | +## Section 3 |
| 42 | +
|
| 43 | +Additional information and use cases. |
| 44 | +""" |
| 45 | + (docs_dir / f"doc{i}.md").write_text(content) |
| 46 | + |
| 47 | +# Create a separate file for watch testing |
| 48 | +watch_test_file = docs_dir / "watch_test.md" |
| 49 | +watch_test_file.write_text("Initial content for watch testing") |
| 50 | + |
| 51 | +try: |
| 52 | + # Initialize benchmark suite |
| 53 | + benchmark = RagBenchmark(index_dir=index_dir) |
| 54 | + |
| 55 | + # Run indexing benchmark |
| 56 | + print("\nRunning indexing benchmark...") |
| 57 | + index_result = benchmark.run_indexing_benchmark( |
| 58 | + docs_dir, |
| 59 | + pattern="*.md" |
| 60 | + ) |
| 61 | + |
| 62 | + # Run search benchmark with various queries |
| 63 | + print("\nRunning search benchmark...") |
| 64 | + search_result = benchmark.run_search_benchmark( |
| 65 | + queries=[ |
| 66 | + "python programming", |
| 67 | + "documentation examples", |
| 68 | + "technical details", |
| 69 | + "implementation guide", |
| 70 | + ], |
| 71 | + n_results=5 |
| 72 | + ) |
| 73 | + |
| 74 | + # Custom file watching benchmark |
| 75 | + print("\nRunning file watch benchmark...") |
| 76 | + def watch_operation(): |
| 77 | + updates = 0 |
| 78 | + start_time = time.time() |
| 79 | + duration = 5.0 |
| 80 | + update_interval = 1.0 # 1 second between updates |
| 81 | + |
| 82 | + while time.time() - start_time < duration: |
| 83 | + # Write meaningful content that changes each time |
| 84 | + content = f"""# Watch Test Update {updates} |
| 85 | +
|
| 86 | +This is update number {updates} for the watch test. |
| 87 | +Time: {time.time()} |
| 88 | +
|
| 89 | +## Content |
| 90 | +- Update sequence: {updates} |
| 91 | +- Timestamp: {time.time()} |
| 92 | +- Test data: Example content for indexing |
| 93 | +""" |
| 94 | + watch_test_file.write_text(content) |
| 95 | + updates += 1 |
| 96 | + time.sleep(update_interval) |
| 97 | + |
| 98 | + return { |
| 99 | + "items_processed": updates, |
| 100 | + "metrics": { |
| 101 | + "total_updates": updates, |
| 102 | + "updates_per_second": updates / duration, |
| 103 | + } |
| 104 | + } |
| 105 | + |
| 106 | + watch_result = benchmark.measure_operation( |
| 107 | + watch_operation, |
| 108 | + "file_watching" |
| 109 | + ) |
| 110 | + |
| 111 | + # Print results |
| 112 | + print("\nBenchmark Results:") |
| 113 | + benchmark.print_results() |
| 114 | + |
| 115 | +finally: |
| 116 | + # Clean up test data |
| 117 | + if test_dir.exists(): |
| 118 | + shutil.rmtree(test_dir) |
| 119 | + if index_dir.exists(): |
| 120 | + shutil.rmtree(index_dir) |
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