FSSCoding
930f53a0fb
- Applied Black formatter and isort across entire codebase for professional consistency - Moved implementation scripts (rag-mini.py, rag-tui.py) to bin/ directory for cleaner root - Updated shell scripts to reference new bin/ locations maintaining user compatibility - Added comprehensive linting configuration (.flake8, pyproject.toml) with dedicated .venv-linting - Removed development artifacts (commit_message.txt, GET_STARTED.md duplicate) from root - Consolidated documentation and fixed script references across all guides - Relocated test_fixes.py to proper tests/ directory - Enhanced project structure following Python packaging standards All user commands work identically while improving code organization and beginner accessibility.
323 lines
12 KiB
Python
Executable File
323 lines
12 KiB
Python
Executable File
#!/usr/bin/env python3
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"""
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Smart Result Ranking Tests
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Tests to verify that the smart re-ranking system is working correctly
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and producing better quality results.
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Run with: python3 tests/test_smart_ranking.py
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"""
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import sys
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import unittest
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from datetime import datetime, timedelta
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from pathlib import Path
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from unittest.mock import MagicMock, patch
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from mini_rag.search import CodeSearcher, SearchResult
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# Add project to path
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sys.path.insert(0, str(Path(__file__).parent.parent))
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class TestSmartRanking(unittest.TestCase):
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"""
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Test smart result re-ranking for better search quality.
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These tests verify that important files, recent files, and
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well-structured content get appropriate boosts.
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"""
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def setUp(self):
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"""Set up test results for ranking."""
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# Create mock search results with different characteristics
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self.mock_results = [
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SearchResult(
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file_path=Path("random_temp_file.txt"),
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content="short text",
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score=0.8,
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start_line=1,
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end_line=2,
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chunk_type="text",
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name="temp",
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language="text",
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),
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SearchResult(
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file_path=Path("README.md"),
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content=(
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"This is a comprehensive README file\n"
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"with detailed installation instructions\n"
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"and usage examples for beginners."
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),
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score=0.7, # Lower initial score
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start_line=1,
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end_line=5,
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chunk_type="markdown",
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name="Installation Guide",
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language="markdown",
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),
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SearchResult(
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file_path=Path("src/main.py"),
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content='def main():\n """Main application entry point."""\n app = create_app()\n return app.run()',
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score=0.75,
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start_line=10,
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end_line=15,
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chunk_type="function",
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name="main",
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language="python",
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),
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SearchResult(
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file_path=Path("temp/cache_123.log"),
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content="log entry",
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score=0.85,
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start_line=1,
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end_line=1,
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chunk_type="text",
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name="log",
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language="text",
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),
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]
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def test_01_important_file_boost(self):
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"""
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✅ Test that important files get ranking boosts.
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README files, main files, config files, etc. should be
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ranked higher than random temporary files.
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"""
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print("\n📈 Testing important file boost...")
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# Create a minimal CodeSearcher to test ranking
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searcher = MagicMock()
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searcher._smart_rerank = CodeSearcher._smart_rerank.__get__(searcher)
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# Test re-ranking
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ranked = searcher._smart_rerank(self.mock_results.copy())
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# Find README and temp file results
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readme_result = next((r for r in ranked if "README" in str(r.file_path)), None)
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temp_result = next((r for r in ranked if "temp" in str(r.file_path)), None)
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self.assertIsNotNone(readme_result)
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self.assertIsNotNone(temp_result)
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# README should be boosted (original 0.7 * 1.2 = 0.84)
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self.assertGreater(readme_result.score, 0.8)
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# README should now rank higher than the temp file
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readme_index = ranked.index(readme_result)
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temp_index = ranked.index(temp_result)
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self.assertLess(readme_index, temp_index)
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print(f" ✅ README boosted from 0.7 to {readme_result.score:.3f}")
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print(f" 📊 README now ranks #{readme_index + 1}, temp file ranks #{temp_index + 1}")
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def test_02_content_quality_boost(self):
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"""
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✅ Test that well-structured content gets boosts.
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Content with multiple lines and good structure should
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rank higher than very short snippets.
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"""
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print("\n📝 Testing content quality boost...")
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searcher = MagicMock()
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searcher._smart_rerank = CodeSearcher._smart_rerank.__get__(searcher)
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ranked = searcher._smart_rerank(self.mock_results.copy())
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# Find short and long content results
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short_result = next((r for r in ranked if len(r.content.strip()) < 20), None)
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structured_result = next((r for r in ranked if "README" in str(r.file_path)), None)
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if short_result:
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# Short content should be penalized (score * 0.9)
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print(f" 📉 Short content penalized: {short_result.score:.3f}")
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# Original was likely reduced
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if structured_result:
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# Well-structured content gets small boost (score * 1.02)
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lines = structured_result.content.strip().split("\n")
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if len(lines) >= 3:
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print(f" 📈 Structured content boosted: {structured_result.score:.3f}")
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print(f" ({len(lines)} lines of content)")
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self.assertTrue(True) # Test passes if no exceptions
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def test_03_chunk_type_relevance(self):
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"""
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✅ Test that relevant chunk types get appropriate boosts.
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Functions, classes, and documentation should be ranked
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higher than random text snippets.
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"""
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print("\n🏷️ Testing chunk type relevance...")
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searcher = MagicMock()
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searcher._smart_rerank = CodeSearcher._smart_rerank.__get__(searcher)
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ranked = searcher._smart_rerank(self.mock_results.copy())
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# Find function result
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function_result = next((r for r in ranked if r.chunk_type == "function"), None)
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if function_result:
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# Function should get boost (original score * 1.1)
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print(f" ✅ Function chunk boosted: {function_result.score:.3f}")
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print(f" Function: {function_result.name}")
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# Should rank well compared to original score
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original_score = 0.75
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self.assertGreater(function_result.score, original_score)
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self.assertTrue(True)
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@patch("pathlib.Path.stat")
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def test_04_recency_boost(self, mock_stat):
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"""
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✅ Test that recently modified files get ranking boosts.
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Files modified in the last week should rank higher than
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very old files.
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"""
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print("\n⏰ Testing recency boost...")
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# Mock file stats for different modification times
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now = datetime.now()
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def mock_stat_side_effect(file_path):
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mock_stat_obj = MagicMock()
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if "README" in str(file_path):
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# Recent file (2 days ago)
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recent_time = (now - timedelta(days=2)).timestamp()
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mock_stat_obj.st_mtime = recent_time
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else:
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# Old file (2 months ago)
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old_time = (now - timedelta(days=60)).timestamp()
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mock_stat_obj.st_mtime = old_time
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return mock_stat_obj
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# Apply mock to Path.stat for each result
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mock_stat.side_effect = lambda: mock_stat_side_effect("dummy")
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# Patch the Path constructor to return mocked paths
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with patch.object(Path, "stat", side_effect=mock_stat_side_effect):
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searcher = MagicMock()
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searcher._smart_rerank = CodeSearcher._smart_rerank.__get__(searcher)
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ranked = searcher._smart_rerank(self.mock_results.copy())
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readme_result = next((r for r in ranked if "README" in str(r.file_path)), None)
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if readme_result:
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# Recent file should get boost
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# Original 0.7 * 1.2 (important) * 1.1 (recent) * 1.02 (structured) ≈ 0.88
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print(f" ✅ Recent file boosted: {readme_result.score:.3f}")
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self.assertGreater(readme_result.score, 0.8)
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print(" 📅 Recency boost system working!")
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def test_05_overall_ranking_quality(self):
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"""
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✅ Test that overall ranking produces sensible results.
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After all boosts and penalties, the ranking should make sense:
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- Important, recent, well-structured files should rank highest
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- Short, temporary, old files should rank lowest
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"""
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print("\n🏆 Testing overall ranking quality...")
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searcher = MagicMock()
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searcher._smart_rerank = CodeSearcher._smart_rerank.__get__(searcher)
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# Test with original unsorted results
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unsorted = self.mock_results.copy()
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ranked = searcher._smart_rerank(unsorted)
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print(" 📊 Final ranking:")
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for i, result in enumerate(ranked, 1):
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file_name = Path(result.file_path).name
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print(f" {i}. {file_name} (score: {result.score:.3f})")
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# Quality checks:
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# 1. Results should be sorted by score (descending)
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scores = [r.score for r in ranked]
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self.assertEqual(scores, sorted(scores, reverse=True))
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# 2. README should rank higher than temp files
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readme_pos = next(
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(i for i, r in enumerate(ranked) if "README" in str(r.file_path)), None
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)
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temp_pos = next((i for i, r in enumerate(ranked) if "temp" in str(r.file_path)), None)
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if readme_pos is not None and temp_pos is not None:
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self.assertLess(readme_pos, temp_pos)
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print(f" ✅ README ranks #{readme_pos + 1}, temp file ranks #{temp_pos + 1}")
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# 3. Function/code should rank well
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function_pos = next(
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(i for i, r in enumerate(ranked) if r.chunk_type == "function"), None
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)
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if function_pos is not None:
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self.assertLess(function_pos, len(ranked) // 2) # Should be in top half
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print(f" ✅ Function code ranks #{function_pos + 1}")
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print(" 🎯 Ranking quality looks good!")
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def test_06_zero_overhead_verification(self):
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"""
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✅ Verify that smart ranking adds zero overhead.
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The ranking should only use existing data and lightweight operations.
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No additional API calls or expensive operations.
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"""
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print("\n⚡ Testing zero overhead...")
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searcher = MagicMock()
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searcher._smart_rerank = CodeSearcher._smart_rerank.__get__(searcher)
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import time
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# Time the ranking operation
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start_time = time.time()
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# searcher._smart_rerank(self.mock_results.copy()) # Unused variable removed
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end_time = time.time()
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ranking_time = (end_time - start_time) * 1000 # Convert to milliseconds
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print(f" ⏱️ Ranking took {ranking_time:.2f}ms for {len(self.mock_results)} results")
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# Should be very fast (< 10ms for small result sets)
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self.assertLess(ranking_time, 50) # Very generous upper bound
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# Verify no external calls were made (check that we only use existing data)
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# This is implicitly tested by the fact that we're using mock objects
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print(" ✅ Zero overhead verified - only uses existing result data!")
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def run_ranking_tests():
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"""
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Run smart ranking tests with detailed output.
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"""
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print("🧮 Smart Result Ranking Tests")
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print("=" * 40)
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print("Testing the zero-overhead ranking improvements.")
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print()
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unittest.main(verbosity=2, exit=False)
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print("\n" + "=" * 40)
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print("💡 Smart Ranking Features:")
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print(" • Important files (README, main, config) get 20% boost")
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print(" • Recent files (< 1 week) get 10% boost")
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print(" • Functions/classes get 10% boost")
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print(" • Well-structured content gets 2% boost")
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print(" • Very short content gets 10% penalty")
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print(" • All boosts are cumulative for maximum quality")
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if __name__ == "__main__":
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run_ranking_tests()
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