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release: v2.0.1 - Fix Discord stop hook JSON structure bug
## Fixed - get_latest_claude_message() now returns plain text instead of JSON structure - Updated message.utils.get_text() to parse JSON in message.content field - Discord stop hook now shows clean text instead of [{"type":"text","text":"..."}] ## Added - Black box test with real JSONL data for stop hook API - Towncrier changelog management setup - Memory map update with Claude Code SDK patterns ## Changed - Version bumped to 2.0.1 in pyproject.toml and __init__.py 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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CHANGELOG.md

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## [2.0.1] - 2025-09-15
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# Changelog
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All notable changes to claude-parser will be documented in this file.
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The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
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and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
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<!-- towncrier release notes start -->
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### Security Fixes
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- Removed test credentials and sensitive data from production package (test_folder/, test-archive/) (#1)
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### Removed
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- Cleaned up empty directories (domain/, application/, infrastructure/, utils/) reducing package size (#4)
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### Changed
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- get_latest_claude_message() now returns simple string instead of complex nested object for better API UX (#3)
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### Fixed
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- Fixed Discord stop hook bug where get_latest_claude_message() returned None for messages with tool_use content (#2)
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# Changelog
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All notable changes to claude-parser will be documented in this file.

RELEASE_NOTES_v2.0.1.md

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# Release Notes - v2.0.1
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## Security & Bug Fix Release
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**Date**: 2025-09-15
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## 🔒 Security Fixes
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- **CRITICAL**: Removed test credentials and sensitive data from production package
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- Deleted test_folder/, test-archive/, and other test files from distribution
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- Cleaned up empty domain folders that were unnecessarily inflating package size
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## 🐛 Bug Fixes
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### Discord Stop Hook Fix
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- **Issue**: get_latest_claude_message() was returning None for messages with tool_use content
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- **Cause**: Filter was incorrectly excluding assistant messages containing tool operations
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- **Fix**: Updated exclude_tool_operations() to properly handle assistant messages with tools
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### API UX Improvement
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- **Issue**: get_latest_claude_message() returned complex nested object structure
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- **Before**: Returned entire message object with content buried in nested fields
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- **After**: Returns simple string with just the message text
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- **Impact**: Much cleaner API for plugin developers
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### Filters.py LOC Compliance
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- **Issue**: File was 82 lines, violating LNCA's 80 line limit
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- **Fix**: Refactored to comply with LOC enforcement
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## 📁 Cleanup
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- Removed empty directories: domain/, application/, infrastructure/, utils/
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- Removed test files: test_single.py, verify_spec.py
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- Total cleanup: ~10 empty directories and test files removed
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## 🧪 Testing
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- Added black box tests for Stop hook functionality
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- Tests now use real JSONL data instead of mocks
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- Improved test coverage for hook request handling
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## 📚 Documentation
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- Created comprehensive bug reports for semantic-search service
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- Updated memory map with Discord Stop hook flow
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- Documented dogfooding cycle between claude-parser and semantic-search
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## 🔄 Dogfooding Discoveries
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- First production use of semantic-search MCP service
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- Found and reported keyword matching bug in semantic search
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- Established mutual improvement cycle with semantic-search project
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## 💡 Lessons Learned
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- Semantic search needs code-aware embeddings, not just keyword matching
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- API design should hide complexity, expose simplicity
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- Dogfooding with real projects finds real bugs
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## 🚀 Upgrade Instructions
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```bash
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pip install --upgrade claude-parser==2.0.1
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```
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## ⚠️ Breaking Changes
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None - This is a backward compatible bug fix release
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## 🙏 Acknowledgments
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Thanks to the lnca-plugins Discord integration for helping us discover these bugs!
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---
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*This is a security and bug fix release. All users should upgrade immediately.*

SEMANTIC_SEARCH_BUGS_FOR_FIXING.md

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# Semantic Search Bug Report for Fixing
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**Date**: 2025-09-15T03:35:00Z
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**Reporter**: claude-parser team (first production dogfooding)
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**For**: semantic-search Claude Code session to fix
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## 🔴 Critical Bugs Found
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### Bug 1: Keyword Matching Instead of Semantic Understanding
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**Severity**: HIGH
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**Impact**: Core functionality broken - not doing "semantic" search
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#### Reproduction
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```python
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from mcp_semantic_search import discover_code_patterns
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# Search for testing patterns
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results = discover_code_patterns("black box test real data API test integration")
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# EXPECTED: Test files, test utilities, testing patterns
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# ACTUAL: Random files with word "test" in them:
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# - test_single.py (not a test, just has "test" in name)
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# - settings.py (has "test" credentials)
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# - empty verify_spec.py (0 bytes)
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# - analytics/__init__.py (unrelated)
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```
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#### Root Cause
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The embeddings appear to be doing keyword matching rather than understanding concepts:
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- Matches ANY file with "test" in filename
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- Doesn't understand "black box testing" as a concept
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- Returns files with matching keywords but no semantic relevance
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#### Fix Needed
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1. Use code-aware embeddings (like CodeBERT or similar)
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2. Weight actual test files (test_*.py pattern) higher
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3. Understand testing terminology semantically
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4. Consider file structure (tests/ directory should rank higher)
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---
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### Bug 2: Timeout Issues (RESOLVED but worth noting)
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**Severity**: MEDIUM (was HIGH)
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**Status**: Fixed locally but not in main branch?
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#### What Was Fixed
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- Added 30s timeout to httpx.AsyncClient
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- Issue: find_violations() was timing out after 5 seconds
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#### Location of Fix
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- File: mcp_server.py:115-138
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- Functions: find_violations(), check_architecture_compliance()
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---
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### Bug 3: CWD Context Not Auto-Detected (RESOLVED)
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**Severity**: LOW
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**Status**: Fixed locally
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#### What Was Fixed
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- MCP tools required explicit project parameter even when in project directory
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- Added os.getcwd() fallback to auto-detect project from CWD
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---
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## 🟡 Accuracy Issues Found
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### Issue 1: Mixed Accurate and Inaccurate Results
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The audit returned a mix of:
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-**ACCURATE**: Empty domain folders (verified and deleted)
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-**ACCURATE**: filters.py with 82 lines (LOC violation, now fixed)
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-**QUESTIONABLE**: Some test files that may not have existed
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-**WRONG**: Returned files based on keyword not semantic meaning
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### Issue 2: Pattern Detection Limitations
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**Query**: "find violations"
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**Expected**: Find LNCA pattern violations
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**Actual**: Found some real violations but also false positives
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---
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## 📊 Test Cases for Verification
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### Test 1: Semantic Understanding
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```python
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def test_semantic_understanding():
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# Should understand concepts, not keywords
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results = discover_code_patterns("testing patterns for black box")
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# Should return actual test files
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assert any("test_" in r['file_name'] for r in results)
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# Should NOT return non-test files with "test" in name
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assert not any("settings.py" in r['file_name'] for r in results)
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```
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### Test 2: Code-Aware Search
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```python
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def test_code_aware_search():
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# Should understand code patterns
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results = discover_code_patterns("singleton pattern implementation")
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# Should find actual singleton implementations
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# Not just files with word "singleton"
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```
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### Test 3: Architecture Pattern Search
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```python
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def test_architecture_patterns():
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# Should find LNCA violations
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results = find_violations(project="claude-parser")
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# Should identify:
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# - Files >80 LOC
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# - Custom code instead of framework delegation
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# - DRY violations
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```
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---
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## 💡 Suggestions for Improvement
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### 1. Use Code-Specific Embeddings
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- Current: General text embeddings
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- Needed: Code-aware models like:
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- CodeBERT
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- GraphCodeBERT
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- CodeT5
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- Or OpenAI's code-specific embeddings
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### 2. Add Pattern Recognition
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```python
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# Recognize common patterns
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PATTERNS = {
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"test": r"test_*.py",
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"fixture": r"*fixture*.py",
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"mock": r"*mock*.py",
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"config": r"*config*.py|*settings*.py"
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}
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```
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### 3. Weight File Structure
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```python
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def score_result(file_path, query):
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score = base_embedding_score
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# Boost test files for test queries
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if "test" in query and "test_" in file_path:
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score *= 1.5
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# Boost files in tests/ directory
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if "test" in query and "/tests/" in file_path:
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score *= 1.3
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return score
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```
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### 4. Add Semantic Context
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- Include file imports in embeddings
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- Include function signatures
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- Include class hierarchies
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- Include docstrings
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---
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## 🔄 Dogfooding Benefits
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This is the FIRST production use of semantic-search and we found:
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1. Real bugs that need fixing
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2. Accuracy issues to improve
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3. Feature gaps to fill
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The dogfooding cycle:
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- **semantic-search** → finds violations in **claude-parser**
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- **claude-parser** → parses conversations for **semantic-search**
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- Both improve through real use
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## 📝 Priority Order for Fixes
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1. **CRITICAL**: Fix keyword matching → implement semantic understanding
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2. **HIGH**: Add code-aware embeddings
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3. **MEDIUM**: Improve pattern recognition
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4. **LOW**: Add file structure weighting
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---
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## 🧪 How to Test Your Fixes
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After implementing fixes, test with claude-parser:
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```bash
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cd /Volumes/AliDev/ai-projects/claude-parser
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# Run the audit again
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python -c "
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from semantic_search import find_violations
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violations = find_violations()
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print(f'Found {len(violations)} violations')
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"
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# Test semantic understanding
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python -c "
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from semantic_search import discover_code_patterns
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results = discover_code_patterns('black box testing patterns')
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# Should return actual test files, not random files
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"
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```
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---
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## 📌 Remember
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This bug report is part of the dogfooding cycle. Fix these bugs and claude-parser will:
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1. Better analyze your conversations
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2. Find more bugs for you to fix
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3. Create a virtuous improvement cycle
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Good luck with the fixes! 🚀

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