Add tests and documentation for CodexLens LSP tool

- Introduced a new test script for the CodexLens LSP tool to validate core functionalities including symbol search, find definition, find references, and get hover. - Created comprehensive documentation for the MCP endpoint design, detailing the architecture, features, and integration with the CCW MCP Manager. - Developed a detailed implementation plan for transitioning to a real LSP server, outlining phases, architecture, and acceptance criteria.
2026-02-11 02:33:51 +08:00 · 2026-01-19 23:26:35 +08:00
parent eeaefa7208
commit 3fe630f221
24 changed files with 3044 additions and 509 deletions
--- a/codex-lens/docs/IMPLEMENTATION_SUMMARY.md
+++ b/codex-lens/docs/IMPLEMENTATION_SUMMARY.md
@@ -1,515 +1,363 @@
-# Pure Vector Search 实施总结
+# CodexLens Real LSP Implementation - Summary

-**实施日期**: 2025-12-16
-**版本**: v0.5.0
-**状态**: ✅ 完成并测试通过
+> **Date**: 2026-01-19  
+> **Status**: Planning Complete, Implementation Ready  
+> **Focus**: Real LSP Server + VSCode Bridge Integration

 ---

-## 📋 实施清单
+## ✅ Completed Work

-### ✅ 已完成项
+### 1. Planning Documents

- [x] **核心功能实现**
-  - [x] 修改 `HybridSearchEngine` 添加 `pure_vector` 参数
-  - [x] 更新 `ChainSearchEngine` 支持 `pure_vector`
-  - [x] 更新 CLI 支持 `pure-vector` 模式
-  - [x] 添加参数验证和错误处理
+#### a. Main Implementation Plan
+**File**: `docs/REAL_LSP_SERVER_PLAN.md`

- [x] **工具脚本和CLI集成**
-  - [x] 创建向量嵌入生成脚本 (`scripts/generate_embeddings.py`)
-  - [x] 集成CLI命令 (`codexlens embeddings-generate`, `codexlens embeddings-status`)
-  - [x] 支持项目路径和索引文件路径
-  - [x] 支持多种嵌入模型选择
-  - [x] 添加进度显示和错误处理
-  - [x] 改进错误消息提示用户使用新CLI命令
+**Content**:
+- Complete architecture design for real LSP server
+- 5-phase implementation plan
+- Multi-language support strategy (TypeScript, Python, Go, Rust, Java, C/C++)
+- Language server multiplexer design
+- Position tolerance feature (cclsp-like)
+- MCP integration layer

- [x] **测试验证**
-  - [x] 创建纯向量搜索测试套件 (`tests/test_pure_vector_search.py`)
-  - [x] 测试无嵌入场景（返回空列表）
-  - [x] 测试向量+FTS后备场景
-  - [x] 测试搜索模式对比
-  - [x] 所有测试通过 (5/5)
+**Key Decisions**:
+- Use `pygls` library for LSP implementation
+- Support 6+ language servers via multiplexer
+- Implement position tolerance for fuzzy AI-generated positions
+- Three integration paths: Standalone LSP, VSCode Bridge, Index-based fallback

- [x] **文档**
-  - [x] 完整使用指南 (`PURE_VECTOR_SEARCH_GUIDE.md`)
-  - [x] API使用示例
-  - [x] 故障排除指南
-  - [x] 性能对比数据
+#### b. VSCode Bridge Implementation (Appendix A)
+**Included in**: `docs/REAL_LSP_SERVER_PLAN.md`
+
+**Content**:
+- HTTP-based VSCode extension bridge
+- MCP tool integration (vscode_lsp)
+- Complete architecture diagram
+- API endpoint specifications
+- Comparison with standalone LSP approach
+
+### 2. VSCode Bridge Extension
+
+#### Created Files:
+1. **`ccw-vscode-bridge/package.json`**
+   - VSCode extension manifest
+   - Dependencies: @types/node, @types/vscode, typescript
+
+2. **`ccw-vscode-bridge/tsconfig.json`**
+   - TypeScript compilation configuration
+   - Target: ES2020, CommonJS modules
+
+3. **`ccw-vscode-bridge/src/extension.ts`**
+   - HTTP server on port 3457
+   - 4 API endpoints:
+     - `POST /get_definition`
+     - `POST /get_references`
+     - `POST /get_hover`
+     - `POST /get_document_symbols`
+   - VSCode API integration via `vscode.commands.executeCommand`
+
+4. **`ccw-vscode-bridge/.vscodeignore`**
+   - Build artifact exclusion rules
+
+5. **`ccw-vscode-bridge/README.md`**
+   - Installation & usage instructions
+   - API endpoint documentation
+
+#### Features:
+- ✅ Real-time VSCode LSP integration
+- ✅ HTTP REST API for external tools
+- ✅ CORS support
+- ✅ Error handling
+- ✅ Automatic VSCode feature detection
+
+### 3. CCW MCP Tool
+
+#### Created File:
+**`ccw/src/tools/vscode-lsp.ts`**
+
+**Features**:
+- ✅ 4 LSP actions: get_definition, get_references, get_hover, get_document_symbols
+- ✅ Zod schema validation
+- ✅ HTTP client with timeout (10s)
+- ✅ Connection retry logic
+- ✅ Comprehensive error messages
+
+**Parameters**:
+- `action` (required): LSP action type
+- `file_path` (required): Absolute file path
+- `line` (optional): Line number (1-based)
+- `character` (optional): Character position (1-based)
+
+#### Integration:
+**Modified File**: `ccw/src/tools/index.ts`
+
+- ✅ Imported `vscodeLspMod`
+- ✅ Registered tool via `registerTool(toLegacyTool(vscodeLspMod))`
+- ✅ Available in MCP server tool list

 ---

-## 🔧 技术变更
+## 📋 Implementation Architecture

-### 1. HybridSearchEngine 修改
+### Three Integration Paths

-**文件**: `codexlens/search/hybrid_search.py`
+```
+Path 1: VSCode Bridge (✅ Implemented)
+─────────────────────────────────────
+Claude Code → vscode_lsp MCP tool → HTTP → ccw-vscode-bridge → VSCode API → Language Servers

-**变更内容**:
-```python
-def search(
-    self,
-    index_path: Path,
-    query: str,
-    limit: int = 20,
-    enable_fuzzy: bool = True,
-    enable_vector: bool = False,
-    pure_vector: bool = False,  # ← 新增参数
-) -> List[SearchResult]:
-    """...
-    Args:
-        ...
-        pure_vector: If True, only use vector search without FTS fallback
-    """
-    backends = {}
+Path 2: Standalone LSP Server (📝 Planned)
+──────────────────────────────────────────
+Any LSP Client → codexlens-lsp → Language Server Multiplexer → Language Servers

-    if pure_vector:
-        # 纯向量模式：只使用向量搜索
-        if enable_vector:
-            backends["vector"] = True
-        else:
-            # 无效配置警告
-            self.logger.warning(...)
-            backends["exact"] = True
-    else:
-        # 混合模式：总是包含exact作为基线
-        backends["exact"] = True
-        if enable_fuzzy:
-            backends["fuzzy"] = True
-        if enable_vector:
-            backends["vector"] = True
+Path 3: Index-Based (✅ Existing)
+─────────────────────────────────
+Claude Code → codex_lens_lsp → Python API → SQLite Index → Cached Results
 ```

-**影响**:
- ✓ 向后兼容：`vector`模式行为不变（vector + exact）
- ✓ 新功能：`pure_vector=True`时仅使用向量搜索
- ✓ 错误处理：无效配置时降级到exact搜索
+### Smart Routing Strategy

-### 2. ChainSearchEngine 修改
-
-**文件**: `codexlens/search/chain_search.py`
-
-**变更内容**:
-```python
-@dataclass
-class SearchOptions:
-    """...
-    Attributes:
-        ...
-        pure_vector: If True, only use vector search without FTS fallback
-    """
-    ...
-    pure_vector: bool = False  # ← 新增字段
-
-def _search_single_index(
-    self,
-    ...
-    pure_vector: bool = False,  # ← 新增参数
-    ...
-):
-    """...
-    Args:
-        ...
-        pure_vector: If True, only use vector search without FTS fallback
-    """
-    if hybrid_mode:
-        hybrid_engine = HybridSearchEngine(weights=hybrid_weights)
-        fts_results = hybrid_engine.search(
-            ...
-            pure_vector=pure_vector,  # ← 传递参数
-        )
+```javascript
+// Priority: VSCode Bridge → Standalone LSP → Index-based
+if (vscodeBridgeAvailable) {
+  return useVSCodeBridge();
+} else if (standaloneLSPAvailable) {
+  return useStandaloneLSP();
+} else {
+  return useIndexBased();
+}
 ```

-**影响**:
- ✓ `SearchOptions`支持`pure_vector`配置
- ✓ 参数正确传递到底层`HybridSearchEngine`
- ✓ 多索引搜索时每个索引使用相同配置
-
-### 3. CLI 命令修改
-
-**文件**: `codexlens/cli/commands.py`
-
-**变更内容**:
-```python
-@app.command()
-def search(
-    ...
-    mode: str = typer.Option(
-        "exact",
-        "--mode",
-        "-m",
-        help="Search mode: exact, fuzzy, hybrid, vector, pure-vector."  # ← 更新帮助
-    ),
-    ...
-):
-    """...
-    Search Modes:
-      - exact: Exact FTS using unicode61 tokenizer (default)
-      - fuzzy: Fuzzy FTS using trigram tokenizer
-      - hybrid: RRF fusion of exact + fuzzy + vector (recommended)
-      - vector: Vector search with exact FTS fallback
-      - pure-vector: Pure semantic vector search only  # ← 新增模式
-
-    Vector Search Requirements:
-      Vector search modes require pre-generated embeddings.
-      Use 'codexlens-embeddings generate' to create embeddings first.
-    """
-
-    valid_modes = ["exact", "fuzzy", "hybrid", "vector", "pure-vector"]  # ← 更新
-
-    # Map mode to options
-    ...
-    elif mode == "pure-vector":
-        hybrid_mode, enable_fuzzy, enable_vector, pure_vector = True, False, True, True  # ← 新增
-    ...
-
-    options = SearchOptions(
-        ...
-        pure_vector=pure_vector,  # ← 传递参数
-    )
-```
-
-**影响**:
- ✓ CLI支持5种搜索模式
- ✓ 帮助文档清晰说明各模式差异
- ✓ 参数正确映射到`SearchOptions`
-
 ---

-## 🧪 测试结果
+## 🎯 Next Steps

-### 测试套件：test_pure_vector_search.py
+### Immediate Actions (Phase 1)
+
+1. **Test VSCode Bridge**
+   ```bash
+   cd ccw-vscode-bridge
+   npm install
+   npm run compile
+   # Press F5 in VSCode to launch extension
+   ```
+
+2. **Test vscode_lsp Tool**
+   ```bash
+   # Start CCW MCP server
+   cd ccw
+   npm run mcp
+
+   # Test via MCP client
+   {
+     "tool": "vscode_lsp",
+     "arguments": {
+       "action": "get_definition",
+       "file_path": "/path/to/file.ts",
+       "line": 10,
+       "character": 5
+     }
+   }
+   ```
+
+3. **Document Testing Results**
+   - Create test reports
+   - Benchmark latency
+   - Validate accuracy
+
+### Medium-Term Goals (Phase 2-3)
+
+1. **Implement Standalone LSP Server**
+   - Setup `codexlens-lsp` project structure
+   - Implement language server multiplexer
+   - Add core LSP handlers
+
+2. **Add Position Tolerance**
+   - Implement fuzzy position matching
+   - Test with AI-generated positions
+
+3. **Create Integration Tests**
+   - Unit tests for each component
+   - E2E tests with real language servers
+   - Performance benchmarks
+
+### Long-Term Goals (Phase 4-5)
+
+1. **MCP Context Enhancement**
+   - Integrate LSP results into MCP context
+   - Hook system for Claude Code
+
+2. **Advanced Features**
+   - Code actions
+   - Formatting
+   - Rename support
+
+3. **Production Deployment**
+   - Package VSCode extension to .vsix
+   - Publish to VS Code marketplace
+   - Create installation scripts
+
+---
+
+## 📊 Project Status Matrix
+
+| Component | Status | Files | Tests | Docs |
+|-----------|--------|-------|-------|------|
+| VSCode Bridge Extension | ✅ Complete | 5/5 | ⏳ Pending | ✅ Complete |
+| vscode_lsp MCP Tool | ✅ Complete | 1/1 | ⏳ Pending | ✅ Complete |
+| Tool Registration | ✅ Complete | 1/1 | N/A | N/A |
+| Planning Documents | ✅ Complete | 2/2 | N/A | ✅ Complete |
+| Standalone LSP Server | 📝 Planned | 0/8 | 0/12 | ✅ Complete |
+| Integration Tests | 📝 Planned | 0/3 | 0/15 | ⏳ Pending |
+
+---
+
+## 🔧 Development Environment
+
+### Prerequisites
+
+**For VSCode Bridge**:
+- Node.js ≥ 18
+- VSCode ≥ 1.80
+- TypeScript ≥ 5.0
+
+**For Standalone LSP**:
+- Python ≥ 3.8
+- pygls ≥ 1.3.0
+- Language servers:
+  - TypeScript: `npm i -g typescript-language-server`
+  - Python: `pip install python-lsp-server`
+  - Go: `go install golang.org/x/tools/gopls@latest`
+  - Rust: `rustup component add rust-analyzer`
+
+### Installation Commands

 ```bash
-$ pytest tests/test_pure_vector_search.py -v
+# VSCode Bridge
+cd ccw-vscode-bridge
+npm install
+npm run compile

-tests/test_pure_vector_search.py::TestPureVectorSearch
-  ✓ test_pure_vector_without_embeddings        PASSED
-  ✓ test_vector_with_fallback                  PASSED
-  ✓ test_pure_vector_invalid_config            PASSED
-  ✓ test_hybrid_mode_ignores_pure_vector       PASSED
+# CCW MCP (already setup)
+cd ccw
+npm install

-tests/test_pure_vector_search.py::TestSearchModeComparison
-  ✓ test_mode_comparison_without_embeddings    PASSED
-
-======================== 5 passed in 0.64s =========================
-```
-
-### 模式对比测试结果
-
-```
-Mode comparison (without embeddings):
-  exact: 1 results        ← FTS精确匹配
-  fuzzy: 1 results        ← FTS模糊匹配
-  vector: 1 results       ← Vector模式回退到exact
-  pure_vector: 0 results  ← Pure vector无嵌入时返回空 ✓ 预期行为
-```
-
-**关键验证**:
- ✅ 纯向量模式在无嵌入时正确返回空列表
- ✅ Vector模式保持向后兼容（有FTS后备）
- ✅ 所有模式参数映射正确
-
---
-
-## 📊 性能影响
-
-### 搜索延迟对比
-
-基于测试数据（100文件，~500代码块，无嵌入）：
-
-| 模式 | 延迟 | 变化 |
-|------|------|------|
-| exact | 5.6ms | - (基线) |
-| fuzzy | 7.7ms | +37% |
-| vector (with fallback) | 7.4ms | +32% |
-| **pure-vector (no embeddings)** | **2.1ms** | **-62%** ← 快速返回空 |
-| hybrid | 9.0ms | +61% |
-
-**分析**:
- ✓ Pure-vector模式在无嵌入时快速返回（仅检查表存在性）
- ✓ 有嵌入时，pure-vector与vector性能相近（~7ms）
- ✓ 无额外性能开销
-
---
-
-## 🚀 使用示例
-
-### 命令行使用
-
-```bash
-# 1. 安装依赖
-pip install codexlens[semantic]
-
-# 2. 创建索引
-codexlens init ~/projects/my-app
-
-# 3. 生成嵌入
-python scripts/generate_embeddings.py ~/.codexlens/indexes/my-app/_index.db
-
-# 4. 使用纯向量搜索
-codexlens search "how to authenticate users" --mode pure-vector
-
-# 5. 使用向量搜索（带FTS后备）
-codexlens search "authentication logic" --mode vector
-
-# 6. 使用混合搜索（推荐）
-codexlens search "user login" --mode hybrid
-```
-
-### Python API 使用
-
-```python
-from pathlib import Path
-from codexlens.search.hybrid_search import HybridSearchEngine
-
-engine = HybridSearchEngine()
-
-# 纯向量搜索
-results = engine.search(
-    index_path=Path("~/.codexlens/indexes/project/_index.db"),
-    query="verify user credentials",
-    enable_vector=True,
-    pure_vector=True,  # ← 纯向量模式
-)
-
-# 向量搜索（带后备）
-results = engine.search(
-    index_path=Path("~/.codexlens/indexes/project/_index.db"),
-    query="authentication",
-    enable_vector=True,
-    pure_vector=False,  # ← 允许FTS后备
-)
+# Future: Standalone LSP
+cd codex-lens
+pip install -e ".[lsp]"
 ```

 ---

-## 📝 文档创建
+## 📖 Documentation Index

-### 新增文档
-
-1. **`PURE_VECTOR_SEARCH_GUIDE.md`** - 完整使用指南
-   - 快速开始教程
-   - 使用场景示例
-   - 故障排除指南
-   - API使用示例
-   - 技术细节说明
-
-2. **`SEARCH_COMPARISON_ANALYSIS.md`** - 技术分析报告
-   - 问题诊断
-   - 架构分析
-   - 优化方案
-   - 实施路线图
-
-3. **`SEARCH_ANALYSIS_SUMMARY.md`** - 快速总结
-   - 核心发现
-   - 快速修复步骤
-   - 下一步行动
-
-4. **`IMPLEMENTATION_SUMMARY.md`** - 实施总结（本文档）
-
-### 更新文档
-
- CLI帮助文档 (`codexlens search --help`)
- API文档字符串
- 测试文档注释
+| Document | Purpose | Status |
+|----------|---------|--------|
+| `REAL_LSP_SERVER_PLAN.md` | Complete implementation plan | ✅ |
+| `LSP_INTEGRATION_PLAN.md` | Original integration strategy | ✅ |
+| `MCP_ENDPOINT_DESIGN.md` | MCP endpoint specifications | ✅ |
+| `IMPLEMENTATION_SUMMARY.md` | This document | ✅ |
+| `ccw-vscode-bridge/README.md` | Bridge usage guide | ✅ |
+| `TESTING_GUIDE.md` | Testing procedures | ⏳ TODO |
+| `DEPLOYMENT_GUIDE.md` | Production deployment | ⏳ TODO |

 ---

-## 🔄 向后兼容性
+## 💡 Key Design Decisions

-### 保持兼容的设计决策
+### 1. Why Three Integration Paths?

-1. **默认值保持不变**
-   ```python
-   def search(..., pure_vector: bool = False):
-       # 默认 False，保持现有行为
+- **VSCode Bridge**: Easiest setup, leverages VSCode's built-in language servers
+- **Standalone LSP**: IDE-agnostic, works with any LSP client
+- **Index-based**: Fallback for offline or cached queries
+
+### 2. Why HTTP for VSCode Bridge?
+
+- ✅ Simplest cross-process communication
+- ✅ No complex IPC/socket management
+- ✅ Easy to debug with curl/Postman
+- ✅ CORS support for web-based tools
+
+### 3. Why Port 3457?
+
+- Unique port unlikely to conflict
+- Easy to remember (345-7)
+- Same approach as cclsp (uses stdio)
+
+### 4. Why Not Modify smart_search?
+
+User feedback: 
+> "第一种跟当前的符号搜索没区别哎"  
+> (Method 1 has no difference from current symbol search)
+
+**Solution**: Implement real LSP server that connects to live language servers, not pre-indexed data.
+
+---
+
+## 🚀 Quick Start Guide
+
+### Test VSCode Bridge Now
+
+1. **Install Extension**:
+   ```bash
+   cd ccw-vscode-bridge
+   npm install && npm run compile
+   code --install-extension .
   ```

-2. **Vector模式行为不变**
-   ```python
-   # 之前和之后行为相同
-   codexlens search "query" --mode vector
-   # → 总是返回结果（vector + exact）
+2. **Reload VSCode**:
+   - Press `Cmd+Shift+P` (Mac) or `Ctrl+Shift+P` (Windows)
+   - Type "Reload Window"
+
+3. **Verify Bridge is Running**:
+   ```bash
+   curl http://localhost:3457/get_definition \
+     -X POST \
+     -H "Content-Type: application/json" \
+     -d '{"file_path":"/path/to/file.ts","line":10,"character":5}'
   ```

-3. **新模式是可选的**
-   ```python
-   # 用户可以继续使用现有模式
-   codexlens search "query" --mode exact
-   codexlens search "query" --mode hybrid
-   ```
-
-4. **API签名扩展**
-   ```python
-   # 新参数是可选的，不破坏现有代码
-   engine.search(index_path, query)  # ← 仍然有效
-   engine.search(index_path, query, pure_vector=True)  # ← 新功能
+4. **Test via CCW**:
+   ```javascript
+   // In Claude Code or MCP client
+   await executeTool('vscode_lsp', {
+     action: 'get_definition',
+     file_path: '/absolute/path/to/file.ts',
+     line: 10,
+     character: 5
+   });
   ```

 ---

-## 🐛 已知限制
+## 📞 Support & Troubleshooting

-### 当前限制
+### Common Issues

-1. **需要手动生成嵌入**
-   - 不会自动触发嵌入生成
-   - 需要运行独立脚本
+**Issue**: "Could not connect to VSCode Bridge"
+**Solution**: 
+1. Ensure VSCode is running
+2. Check if extension is activated: `Cmd+Shift+P` → "CCW VSCode Bridge"
+3. Verify port 3457 is not in use: `lsof -i :3457`

-2. **无增量更新**
-   - 代码更新后需要完全重新生成嵌入
-   - 未来将支持增量更新
+**Issue**: "No LSP server available"
+**Solution**: Open the file in VSCode workspace first

-3. **向量搜索比FTS慢**
-   - 约7ms vs 5ms（单索引）
-   - 可接受的折衷
-
-### 缓解措施
-
- 文档清楚说明嵌入生成步骤
- 提供批量生成脚本
- 添加`--force`选项快速重新生成
+**Issue**: "File not found"
+**Solution**: Use absolute paths, not relative

 ---

-## 🔮 后续优化计划
+## 📝 Change Log

-### ~~P1 - 短期（1-2周）~~ ✅ 已完成
-
- [x] ~~添加嵌入生成CLI命令~~ ✅
-  ```bash
-  codexlens embeddings-generate /path/to/project
-  codexlens embeddings-generate /path/to/_index.db
-  ```
-
- [x] ~~添加嵌入状态检查~~ ✅
-  ```bash
-  codexlens embeddings-status                  # 检查所有索引
-  codexlens embeddings-status /path/to/project # 检查特定项目
-  ```
-
- [x] ~~改进错误提示~~ ✅
-  - Pure-vector无嵌入时友好提示
-  - 指导用户如何生成嵌入
-  - 集成到搜索引擎日志中
-
-### ❌ LLM语义增强功能已移除 (2025-12-16)
-
-**移除原因**: 简化代码库，减少外部依赖
-
-**已移除内容**:
- `src/codexlens/semantic/llm_enhancer.py` - LLM增强核心模块
- `src/codexlens/cli/commands.py` 中的 `enhance` 命令
- `tests/test_llm_enhancer.py` - LLM增强测试
- `tests/test_llm_enhanced_search.py` - LLM对比测试
- `scripts/compare_search_methods.py` - 对比测试脚本
- `scripts/test_misleading_comments.py` - 误导性注释测试
- `scripts/show_llm_analysis.py` - LLM分析展示脚本
- `scripts/inspect_llm_summaries.py` - LLM摘要检查工具
- `docs/LLM_ENHANCED_SEARCH_GUIDE.md` - LLM使用指南
- `docs/LLM_ENHANCEMENT_TEST_RESULTS.md` - LLM测试结果
- `docs/MISLEADING_COMMENTS_TEST_RESULTS.md` - 误导性注释测试结果
- `docs/CLI_INTEGRATION_SUMMARY.md` - CLI集成文档（包含enhance命令）
- `docs/DOCSTRING_LLM_HYBRID_DESIGN.md` - LLM混合策略设计
-
-**保留功能**:
- ✅ 纯向量搜索 (pure_vector) 完整保留
- ✅ 语义嵌入生成 (`codexlens embeddings-generate`)
- ✅ 语义嵌入状态检查 (`codexlens embeddings-status`)
- ✅ 所有核心搜索功能
-
-**历史记录**: LLM增强功能在测试中表现良好，但为简化维护和减少外部依赖（CCW CLI, Gemini/Qwen API）而移除。设计文档（DESIGN_EVALUATION_REPORT.md等）保留作为历史参考。
-
-### P2 - 中期（1-2月）
-
- [ ] 增量嵌入更新
-  - 检测文件变更
-  - 仅更新修改的文件
-
- [ ] 混合分块策略
-  - Symbol-based优先
-  - Sliding window补充
-
- [ ] 查询扩展
-  - 同义词展开
-  - 相关术语建议
-
-### P3 - 长期（3-6月）
-
- [ ] FAISS集成
-  - 100x+搜索加速
-  - 大规模代码库支持
-
- [ ] 向量压缩
-  - PQ量化
-  - 减少50%存储空间
-
- [ ] 多模态搜索
-  - 代码 + 文档 + 注释统一搜索
+### 2026-01-19 - Initial Implementation
+- Created VSCode Bridge extension (5 files)
+- Implemented vscode_lsp MCP tool
+- Registered tool in CCW registry
+- Completed planning documentation
+- Added comprehensive architecture diagrams

 ---

-## 📈 成功指标
-
-### 功能指标
-
- ✅ 5种搜索模式全部工作
- ✅ 100%测试覆盖率
- ✅ 向后兼容性保持
- ✅ 文档完整且清晰
-
-### 性能指标
-
- ✅ 纯向量延迟 < 10ms
- ✅ 混合搜索开销 < 2x
- ✅ 无嵌入时快速返回 (< 3ms)
-
-### 用户体验指标
-
- ✅ CLI参数清晰直观
- ✅ 错误提示友好有用
- ✅ 文档易于理解
- ✅ API简单易用
-
---
-
-## 🎯 总结
-
-### 关键成就
-
-1. **✅ 完成纯向量搜索功能**
-   - 3个核心组件修改
-   - 5个测试全部通过
-   - 完整文档和工具
-
-2. **✅ 解决了初始问题**
-   - "Vector"模式语义不清晰 → 添加pure-vector模式
-   - 向量搜索返回空 → 提供嵌入生成工具
-   - 缺少使用指导 → 创建完整指南
-
-3. **✅ 保持系统质量**
-   - 向后兼容
-   - 测试覆盖完整
-   - 性能影响可控
-   - 文档详尽
-
-### 交付物
-
- ✅ 3个修改的源代码文件
- ✅ 1个嵌入生成脚本
- ✅ 1个测试套件（5个测试）
- ✅ 4个文档文件
-
-### 下一步
-
-1. **立即**：用户可以开始使用pure-vector搜索
-2. **短期**：添加CLI嵌入管理命令
-3. **中期**：实施增量更新和优化
-4. **长期**：高级特性（FAISS、压缩、多模态）
-
---
-
-**实施完成！** 🎉
-
-所有计划的功能已实现、测试并文档化。用户现在可以享受纯向量语义搜索的强大功能。
+**Document End**