Implement database migration framework and performance optimizations

- Added active memory configuration for manual interval and Gemini tool.
- Created file modification rules for handling edits and writes.
- Implemented migration manager for managing database schema migrations.
- Added migration 001 to normalize keywords into separate tables.
- Developed tests for validating performance optimizations including keyword normalization, path lookup, and symbol search.
- Created validation script to manually verify optimization implementations.
This commit is contained in:
catlog22
2025-12-14 18:08:32 +08:00
parent 79a2953862
commit 0529b57694
18 changed files with 2085 additions and 545 deletions

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@@ -1,36 +1,433 @@
# CLI Tools Usage Rules
# Intelligent Tools Selection Strategy
## Tool Selection
## Table of Contents
1. [Quick Reference](#quick-reference)
2. [Tool Specifications](#tool-specifications)
3. [Prompt Template](#prompt-template)
4. [CLI Execution](#cli-execution)
5. [Configuration](#configuration)
6. [Best Practices](#best-practices)
---
## Quick Reference
## Quick Decision Tree
```
┌─ Task Analysis/Documentation?
│ └─→ Use Gemini (Fallback: Codex,Qwen)
│ └─→ MODE: analysis (default, read-only)
└─ Task Implementation/Bug Fix?
└─→ Use Codex (Fallback: Gemini,Qwen)
└─→ MODE: auto (full operations) or write (file operations)
```
### Universal Prompt Template
```
PURPOSE: [what] + [why] + [success criteria] + [constraints/scope]
TASK: • [step 1: specific action] • [step 2: specific action] • [step 3: specific action]
MODE: [analysis|write|auto]
CONTEXT: @[file patterns] | Memory: [session/tech/module context]
EXPECTED: [deliverable format] + [quality criteria] + [structure requirements]
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/[category]/[template].txt) | [domain constraints] | MODE=[permission]
```
### Intent Capture Checklist (Before CLI Execution)
**⚠️ CRITICAL**: Before executing any CLI command, verify these intent dimensions:
**Intent Validation Questions**:
- [ ] Is the objective specific and measurable?
- [ ] Are success criteria defined?
- [ ] Is the scope clearly bounded?
- [ ] Are constraints and limitations stated?
- [ ] Is the expected output format clear?
- [ ] Is the action level (read/write) explicit?
## Tool Selection Matrix
| Task Category | Tool | MODE | When to Use |
|---------------|------|------|-------------|
| **Read/Analyze** | Gemini/Qwen | `analysis` | Code review, architecture analysis, pattern discovery, exploration |
| **Write/Create** | Gemini/Qwen | `write` | Documentation generation, file creation (non-code) |
| **Implement/Fix** | Codex | `auto` | Feature implementation, bug fixes, test creation, refactoring |
## Essential Command Structure
```bash
ccw cli exec "<PROMPT>" --tool <gemini|qwen|codex> --mode <analysis|write|auto>
```
### Core Principles
- **Use tools early and often** - Tools are faster and more thorough
- **Unified CLI** - Always use `ccw cli exec` for consistent parameter handling
- **One template required** - ALWAYS reference exactly ONE template in RULES (use universal fallback if no specific match)
- **Write protection** - Require EXPLICIT `--mode write` or `--mode auto`
- **No escape characters** - NEVER use `\$`, `\"`, `\'` in CLI commands
---
## Tool Specifications
### MODE Options
| Mode | Permission | Use For | Specification |
|------|------------|---------|---------------|
| `analysis` | Read-only (default) | Code review, architecture analysis, pattern discovery | Auto for Gemini/Qwen |
| `write` | Create/Modify/Delete | Documentation, code creation, file modifications | Requires `--mode write` |
| `auto` | Full operations | Feature implementation, bug fixes, autonomous development | Codex only, requires `--mode auto` |
### Gemini & Qwen
**Use for**: Analysis, documentation, code exploration, architecture review
- Default MODE: `analysis` (read-only)
- Prefer Gemini; use Qwen as fallback
**Via CCW**: `ccw cli exec "<prompt>" --tool gemini` or `--tool qwen`
**Characteristics**:
- Large context window, pattern recognition
- Best for: Analysis, documentation, code exploration, architecture review
- Default MODE: `analysis` (read-only)
- Priority: Prefer Gemini; use Qwen as fallback
**Models** (override via `--model`):
- Gemini: `gemini-2.5-pro`
- Qwen: `coder-model`, `vision-model`
**Error Handling**: HTTP 429 may show error but still return results - check if results exist
### Codex
**Use for**: Feature implementation, bug fixes, autonomous development
- Requires explicit `--mode auto` or `--mode write`
**Via CCW**: `ccw cli exec "<prompt>" --tool codex --mode auto`
**Characteristics**:
- Autonomous development, mathematical reasoning
- Best for: Implementation, testing, automation
- No default MODE - must explicitly specify `--mode write` or `--mode auto`
## Core Principles
**Models**: `gpt-5.2`
- Use tools early and often - tools are faster and more thorough
- Always use `ccw cli exec` for consistent parameter handling
- ALWAYS reference exactly ONE template in RULES section
- Require EXPLICIT `--mode write` or `--mode auto` for modifications
- NEVER use escape characters (`\$`, `\"`, `\'`) in CLI commands
### Session Resume
## Permission Framework
**Resume via `--resume` parameter**:
```bash
ccw cli exec "Continue analyzing" --resume # Resume last session
ccw cli exec "Fix issues found" --resume <id> # Resume specific session
```
| Value | Description |
|-------|-------------|
| `--resume` (empty) | Resume most recent session |
| `--resume <id>` | Resume specific execution ID |
**Context Assembly** (automatic):
```
=== PREVIOUS CONVERSATION ===
USER PROMPT: [Previous prompt]
ASSISTANT RESPONSE: [Previous output]
=== CONTINUATION ===
[Your new prompt]
```
**Tool Behavior**: Codex uses native `codex resume`; Gemini/Qwen assembles context as single prompt
---
## Prompt Template
### Template Structure
Every command MUST include these fields:
| Field | Purpose | Components | Bad Example | Good Example |
|-------|---------|------------|-------------|--------------|
| **PURPOSE** | Goal + motivation + success | What + Why + Success Criteria + Constraints | "Analyze code" | "Identify security vulnerabilities in auth module to pass compliance audit; success = all OWASP Top 10 addressed; scope = src/auth/** only" |
| **TASK** | Actionable steps | Specific verbs + targets | "• Review code • Find issues" | "• Scan for SQL injection in query builders • Check XSS in template rendering • Verify CSRF token validation" |
| **MODE** | Permission level | analysis / write / auto | (missing) | "analysis" or "write" |
| **CONTEXT** | File scope + history | File patterns + Memory | "@**/*" | "@src/auth/**/*.ts @shared/utils/security.ts \| Memory: Previous auth refactoring (WFS-001)" |
| **EXPECTED** | Output specification | Format + Quality + Structure | "Report" | "Markdown report with: severity levels (Critical/High/Medium/Low), file:line references, remediation code snippets, priority ranking" |
| **RULES** | Template + constraints | $(cat template) + domain rules | (missing) | "$(cat ~/.claude/.../security.txt) \| Focus on authentication \| Ignore test files \| analysis=READ-ONLY" |
### CONTEXT Configuration
**Format**: `CONTEXT: [file patterns] | Memory: [memory context]`
#### File Patterns
| Pattern | Scope |
|---------|-------|
| `@**/*` | All files (default) |
| `@src/**/*.ts` | TypeScript in src |
| `@../shared/**/*` | Sibling directory (requires `--includeDirs`) |
| `@CLAUDE.md` | Specific file |
#### Memory Context
Include when building on previous work:
```bash
# Cross-task reference
Memory: Building on auth refactoring (commit abc123), implementing refresh tokens
# Cross-module integration
Memory: Integration with auth module, using shared error patterns from @shared/utils/errors.ts
```
**Memory Sources**:
- **Related Tasks**: Previous refactoring, extensions, conflict resolution
- **Tech Stack Patterns**: Framework conventions, security guidelines
- **Cross-Module References**: Integration points, shared utilities, type dependencies
#### Pattern Discovery Workflow
For complex requirements, discover files BEFORE CLI execution:
```bash
# Step 1: Discover files
rg "export.*Component" --files-with-matches --type ts
# Step 2: Build CONTEXT
CONTEXT: @components/Auth.tsx @types/auth.d.ts | Memory: Previous type refactoring
# Step 3: Execute CLI
ccw cli exec "..." --tool gemini --cd src
```
### RULES Configuration
**Format**: `RULES: $(cat ~/.claude/workflows/cli-templates/prompts/[category]/[template].txt) | [constraints]`
**⚠️ MANDATORY**: Exactly ONE template reference is REQUIRED. Select from Task-Template Matrix or use universal fallback:
- `universal/00-universal-rigorous-style.txt` - For precision-critical tasks (default fallback)
- `universal/00-universal-creative-style.txt` - For exploratory tasks
**Command Substitution Rules**:
- Use `$(cat ...)` directly - do NOT read template content first
- NEVER use escape characters: `\$`, `\"`, `\'`
- Tilde expands correctly in prompt context
**Examples**:
```bash
# Specific template (preferred)
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/analysis/01-diagnose-bug-root-cause.txt) | Focus on auth | analysis=READ-ONLY
# Universal fallback (when no specific template matches)
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/universal/00-universal-rigorous-style.txt) | Focus on security patterns | analysis=READ-ONLY
```
### Template System
**Base Path**: `~/.claude/workflows/cli-templates/prompts/`
**Naming Convention**:
- `00-*` - Universal fallbacks (when no specific match)
- `01-*` - Universal, high-frequency
- `02-*` - Common specialized
- `03-*` - Domain-specific
**Universal Templates**:
| Template | Use For |
|----------|---------|
| `universal/00-universal-rigorous-style.txt` | Precision-critical, systematic methodology |
| `universal/00-universal-creative-style.txt` | Exploratory, innovative solutions |
**Task-Template Matrix**:
| Task Type | Template |
|-----------|----------|
| **Analysis** | |
| Execution Tracing | `analysis/01-trace-code-execution.txt` |
| Bug Diagnosis | `analysis/01-diagnose-bug-root-cause.txt` |
| Code Patterns | `analysis/02-analyze-code-patterns.txt` |
| Document Analysis | `analysis/02-analyze-technical-document.txt` |
| Architecture Review | `analysis/02-review-architecture.txt` |
| Code Review | `analysis/02-review-code-quality.txt` |
| Performance | `analysis/03-analyze-performance.txt` |
| Security | `analysis/03-assess-security-risks.txt` |
| **Planning** | |
| Architecture | `planning/01-plan-architecture-design.txt` |
| Task Breakdown | `planning/02-breakdown-task-steps.txt` |
| Component Design | `planning/02-design-component-spec.txt` |
| Migration | `planning/03-plan-migration-strategy.txt` |
| **Development** | |
| Feature | `development/02-implement-feature.txt` |
| Refactoring | `development/02-refactor-codebase.txt` |
| Tests | `development/02-generate-tests.txt` |
| UI Component | `development/02-implement-component-ui.txt` |
| Debugging | `development/03-debug-runtime-issues.txt` |
---
## CLI Execution
### Command Options
| Option | Description | Default |
|--------|-------------|---------|
| `--tool <tool>` | gemini, qwen, codex | gemini |
| `--mode <mode>` | analysis, write, auto | analysis |
| `--model <model>` | Model override | auto-select |
| `--cd <path>` | Working directory | current |
| `--includeDirs <dirs>` | Additional directories (comma-separated) | none |
| `--timeout <ms>` | Timeout in milliseconds | 300000 |
| `--resume [id]` | Resume previous session | - |
| `--no-stream` | Disable streaming | false |
### Directory Configuration
#### Working Directory (`--cd`)
When using `--cd`:
- `@**/*` = Files within working directory tree only
- CANNOT reference parent/sibling via @ alone
- Must use `--includeDirs` for external directories
#### Include Directories (`--includeDirs`)
**TWO-STEP requirement for external files**:
1. Add `--includeDirs` parameter
2. Reference in CONTEXT with @ patterns
```bash
# Single directory
ccw cli exec "CONTEXT: @**/* @../shared/**/*" --cd src/auth --includeDirs ../shared
# Multiple directories
ccw cli exec "..." --cd src/auth --includeDirs ../shared,../types,../utils
```
**Rule**: If CONTEXT contains `@../dir/**/*`, MUST include `--includeDirs ../dir`
**Benefits**: Excludes unrelated directories, reduces token usage
### CCW Parameter Mapping
CCW automatically maps to tool-specific syntax:
| CCW Parameter | Gemini/Qwen | Codex |
|---------------|-------------|-------|
| `--cd <path>` | `cd <path> &&` | `-C <path>` |
| `--includeDirs <dirs>` | `--include-directories` | `--add-dir` (per dir) |
| `--mode write` | `--approval-mode yolo` | `-s danger-full-access` |
| `--mode auto` | N/A | `-s danger-full-access` |
### Command Examples
#### Task-Type Specific Templates
**Analysis Task** (Security Audit):
```bash
ccw cli exec "
PURPOSE: Identify OWASP Top 10 vulnerabilities in authentication module to pass security audit; success = all critical/high issues documented with remediation
TASK: • Scan for injection flaws (SQL, command, LDAP) • Check authentication bypass vectors • Evaluate session management • Assess sensitive data exposure
MODE: analysis
CONTEXT: @src/auth/**/* @src/middleware/auth.ts | Memory: Using bcrypt for passwords, JWT for sessions
EXPECTED: Security report with: severity matrix, file:line references, CVE mappings where applicable, remediation code snippets prioritized by risk
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/analysis/03-assess-security-risks.txt) | Focus on authentication | Ignore test files | analysis=READ-ONLY
" --tool gemini --cd src/auth --timeout 600000
```
**Implementation Task** (New Feature):
```bash
ccw cli exec "
PURPOSE: Implement rate limiting for API endpoints to prevent abuse; must be configurable per-endpoint; backward compatible with existing clients
TASK: • Create rate limiter middleware with sliding window • Implement per-route configuration • Add Redis backend for distributed state • Include bypass for internal services
MODE: auto
CONTEXT: @src/middleware/**/* @src/config/**/* | Memory: Using Express.js, Redis already configured, existing middleware pattern in auth.ts
EXPECTED: Production-ready code with: TypeScript types, unit tests, integration test, configuration example, migration guide
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/development/02-implement-feature.txt) | Follow existing middleware patterns | No breaking changes | auto=FULL
" --tool codex --mode auto --timeout 1800000
```
**Bug Fix Task**:
```bash
ccw cli exec "
PURPOSE: Fix memory leak in WebSocket connection handler causing server OOM after 24h; root cause must be identified before any fix
TASK: • Trace connection lifecycle from open to close • Identify event listener accumulation • Check cleanup on disconnect • Verify garbage collection eligibility
MODE: analysis
CONTEXT: @src/websocket/**/* @src/services/connection-manager.ts | Memory: Using ws library, ~5000 concurrent connections in production
EXPECTED: Root cause analysis with: memory profile, leak source (file:line), fix recommendation with code, verification steps
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/analysis/01-diagnose-bug-root-cause.txt) | Focus on resource cleanup | analysis=READ-ONLY
" --tool gemini --cd src --timeout 900000
```
**Refactoring Task**:
```bash
ccw cli exec "
PURPOSE: Refactor payment processing to use strategy pattern for multi-gateway support; no functional changes; all existing tests must pass
TASK: • Extract gateway interface from current implementation • Create strategy classes for Stripe, PayPal • Implement factory for gateway selection • Migrate existing code to use strategies
MODE: write
CONTEXT: @src/payments/**/* @src/types/payment.ts | Memory: Currently only Stripe, adding PayPal next sprint, must support future gateways
EXPECTED: Refactored code with: strategy interface, concrete implementations, factory class, updated tests, migration checklist
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/development/02-refactor-codebase.txt) | Preserve all existing behavior | Tests must pass | write=CREATE/MODIFY/DELETE
" --tool gemini --mode write --timeout 1200000
```
---
## Configuration
### Timeout Allocation
**Minimum**: 5 minutes (300000ms)
| Complexity | Range | Examples |
|------------|-------|----------|
| Simple | 5-10min (300000-600000ms) | Analysis, search |
| Medium | 10-20min (600000-1200000ms) | Refactoring, documentation |
| Complex | 20-60min (1200000-3600000ms) | Implementation, migration |
| Heavy | 60-120min (3600000-7200000ms) | Large codebase, multi-file |
**Codex Multiplier**: 3x allocated time (minimum 15min / 900000ms)
```bash
ccw cli exec "<prompt>" --tool gemini --timeout 600000 # 10 min
ccw cli exec "<prompt>" --tool codex --timeout 1800000 # 30 min
```
### Permission Framework
**Single-Use Authorization**: Each execution requires explicit user instruction. Previous authorization does NOT carry over.
**Mode Hierarchy**:
- `analysis` (default): Read-only, safe for auto-execution
- `write`: Requires explicit `--mode write` - creates/modifies/deletes files
- `auto`: Requires explicit `--mode auto` - full autonomous operations (Codex only)
- `write`: Requires explicit `--mode write`
- `auto`: Requires explicit `--mode auto`
- **Exception**: User provides clear instructions like "modify", "create", "implement"
## Timeout Guidelines
---
- Simple (5-10min): Analysis, search
- Medium (10-20min): Refactoring, documentation
- Complex (20-60min): Implementation, migration
- Heavy (60-120min): Large codebase, multi-file operations
- Codex multiplier: 3x allocated time (minimum 15min)
## Best Practices
### Workflow Principles
- **Use CCW unified interface** for all executions
- **Always include template** - Use Task-Template Matrix or universal fallback
- **Be specific** - Clear PURPOSE, TASK, EXPECTED fields
- **Include constraints** - File patterns, scope in RULES
- **Leverage memory context** when building on previous work
- **Discover patterns first** - Use rg/MCP before CLI execution
- **Default to full context** - Use `@**/*` unless specific files needed
### Workflow Integration
| Phase | Command |
|-------|---------|
| Understanding | `ccw cli exec "<prompt>" --tool gemini` |
| Architecture | `ccw cli exec "<prompt>" --tool gemini` |
| Implementation | `ccw cli exec "<prompt>" --tool codex --mode auto` |
| Quality | `ccw cli exec "<prompt>" --tool codex --mode write` |
### Planning Checklist
- [ ] **Purpose defined** - Clear goal and intent
- [ ] **Mode selected** - `--mode analysis|write|auto`
- [ ] **Context gathered** - File references + memory (default `@**/*`)
- [ ] **Directory navigation** - `--cd` and/or `--includeDirs`
- [ ] **Tool selected** - `--tool gemini|qwen|codex`
- [ ] **Template applied (REQUIRED)** - Use specific or universal fallback template
- [ ] **Constraints specified** - Scope, requirements
- [ ] **Timeout configured** - Based on complexity

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@@ -5,3 +5,42 @@ Before implementation, always:
- Identify 3+ existing similar patterns before implementation
- Map dependencies and integration points
- Understand testing framework and coding conventions
## Context Gathering
### Use Exa
- Researching external APIs, libraries, frameworks
- Need recent documentation beyond knowledge cutoff
- Looking for implementation examples in public repos
- User mentions specific library/framework names
- Questions about "best practices" or "how does X work"
### Use read_file (MCP)
- Reading multiple related files at once
- Directory traversal with pattern matching
- Searching file content with regex
- Need to limit depth/file count for large directories
- Batch operations on multiple files
- Pattern-based filtering (glob + content regex)
### Use codex_lens
- Large codebase (>500 files) requiring repeated searches
- Need semantic understanding of code relationships
- Working across multiple sessions
- Symbol-level navigation needed
- Finding all implementations of interface/class
- Tracking function calls across codebase
### Use smart_search
- Unknown file locations
- Concept/semantic search ("authentication logic", "payment processing")
- Medium-sized codebase (100-500 files)
- One-time or infrequent searches
- Natural language queries about code structure
**Mode Selection**:
- `auto`: Let tool decide (default)
- `exact`: Known exact pattern
- `fuzzy`: Typo-tolerant search
- `semantic`: Concept-based search
- `graph`: Dependency analysis

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@@ -1,44 +1,3 @@
# Tool Selection Rules
## Context Gathering
### Use Exa
- Researching external APIs, libraries, frameworks
- Need recent documentation beyond knowledge cutoff
- Looking for implementation examples in public repos
- User mentions specific library/framework names
- Questions about "best practices" or "how does X work"
### Use read_file (MCP)
- Reading multiple related files at once
- Directory traversal with pattern matching
- Searching file content with regex
- Need to limit depth/file count for large directories
- Batch operations on multiple files
- Pattern-based filtering (glob + content regex)
### Use codex_lens
- Large codebase (>500 files) requiring repeated searches
- Need semantic understanding of code relationships
- Working across multiple sessions
- Symbol-level navigation needed
- Finding all implementations of interface/class
- Tracking function calls across codebase
### Use smart_search
- Unknown file locations
- Concept/semantic search ("authentication logic", "payment processing")
- Medium-sized codebase (100-500 files)
- One-time or infrequent searches
- Natural language queries about code structure
**Mode Selection**:
- `auto`: Let tool decide (default)
- `exact`: Known exact pattern
- `fuzzy`: Typo-tolerant search
- `semantic`: Concept-based search
- `graph`: Dependency analysis
## File Modification
### Use edit_file (MCP)

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@@ -1,431 +0,0 @@
# Intelligent Tools Selection Strategy
## Table of Contents
1. [Quick Reference](#quick-reference)
2. [Tool Specifications](#tool-specifications)
3. [Prompt Template](#prompt-template)
4. [CLI Execution](#cli-execution)
5. [Configuration](#configuration)
6. [Best Practices](#best-practices)
---
## Quick Reference
### Universal Prompt Template
```
PURPOSE: [what] + [why] + [success criteria] + [constraints/scope]
TASK: • [step 1: specific action] • [step 2: specific action] • [step 3: specific action]
MODE: [analysis|write|auto]
CONTEXT: @[file patterns] | Memory: [session/tech/module context]
EXPECTED: [deliverable format] + [quality criteria] + [structure requirements]
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/[category]/[template].txt) | [domain constraints] | MODE=[permission]
```
### Intent Capture Checklist (Before CLI Execution)
**⚠️ CRITICAL**: Before executing any CLI command, verify these intent dimensions:
**Intent Validation Questions**:
- [ ] Is the objective specific and measurable?
- [ ] Are success criteria defined?
- [ ] Is the scope clearly bounded?
- [ ] Are constraints and limitations stated?
- [ ] Is the expected output format clear?
- [ ] Is the action level (read/write) explicit?
### Tool Selection
| Task Type | Tool | Fallback |
|-----------|------|----------|
| Analysis/Documentation | Gemini | Qwen |
| Implementation/Testing | Codex | - |
### CCW Command Syntax
```bash
ccw cli exec "<prompt>" --tool <gemini|qwen|codex> --mode <analysis|write|auto>
ccw cli exec "<prompt>" --tool gemini --cd <path> --includeDirs <dirs>
ccw cli exec "<prompt>" --resume [id] # Resume previous session
```
### CLI Subcommands
| Command | Description |
|---------|-------------|
| `ccw cli status` | Check CLI tools availability |
| `ccw cli exec "<prompt>"` | Execute a CLI tool |
| `ccw cli exec "<prompt>" --resume [id]` | Resume a previous session |
| `ccw cli history` | Show execution history |
| `ccw cli detail <id>` | Show execution detail |
### Core Principles
- **Use tools early and often** - Tools are faster and more thorough
- **Unified CLI** - Always use `ccw cli exec` for consistent parameter handling
- **One template required** - ALWAYS reference exactly ONE template in RULES (use universal fallback if no specific match)
- **Write protection** - Require EXPLICIT `--mode write` or `--mode auto`
- **No escape characters** - NEVER use `\$`, `\"`, `\'` in CLI commands
---
## Tool Specifications
### MODE Options
| Mode | Permission | Use For | Specification |
|------|------------|---------|---------------|
| `analysis` | Read-only (default) | Code review, architecture analysis, pattern discovery | Auto for Gemini/Qwen |
| `write` | Create/Modify/Delete | Documentation, code creation, file modifications | Requires `--mode write` |
| `auto` | Full operations | Feature implementation, bug fixes, autonomous development | Codex only, requires `--mode auto` |
### Gemini & Qwen
**Via CCW**: `ccw cli exec "<prompt>" --tool gemini` or `--tool qwen`
**Characteristics**:
- Large context window, pattern recognition
- Best for: Analysis, documentation, code exploration, architecture review
- Default MODE: `analysis` (read-only)
- Priority: Prefer Gemini; use Qwen as fallback
**Models** (override via `--model`):
- Gemini: `gemini-2.5-pro`
- Qwen: `coder-model`, `vision-model`
**Error Handling**: HTTP 429 may show error but still return results - check if results exist
### Codex
**Via CCW**: `ccw cli exec "<prompt>" --tool codex --mode auto`
**Characteristics**:
- Autonomous development, mathematical reasoning
- Best for: Implementation, testing, automation
- No default MODE - must explicitly specify `--mode write` or `--mode auto`
**Models**: `gpt-5.2`
### Session Resume
**Resume via `--resume` parameter**:
```bash
ccw cli exec "Continue analyzing" --resume # Resume last session
ccw cli exec "Fix issues found" --resume <id> # Resume specific session
```
| Value | Description |
|-------|-------------|
| `--resume` (empty) | Resume most recent session |
| `--resume <id>` | Resume specific execution ID |
**Context Assembly** (automatic):
```
=== PREVIOUS CONVERSATION ===
USER PROMPT: [Previous prompt]
ASSISTANT RESPONSE: [Previous output]
=== CONTINUATION ===
[Your new prompt]
```
**Tool Behavior**: Codex uses native `codex resume`; Gemini/Qwen assembles context as single prompt
---
## Prompt Template
### Template Structure
Every command MUST include these fields:
| Field | Purpose | Components | Bad Example | Good Example |
|-------|---------|------------|-------------|--------------|
| **PURPOSE** | Goal + motivation + success | What + Why + Success Criteria + Constraints | "Analyze code" | "Identify security vulnerabilities in auth module to pass compliance audit; success = all OWASP Top 10 addressed; scope = src/auth/** only" |
| **TASK** | Actionable steps | Specific verbs + targets | "• Review code • Find issues" | "• Scan for SQL injection in query builders • Check XSS in template rendering • Verify CSRF token validation" |
| **MODE** | Permission level | analysis / write / auto | (missing) | "analysis" or "write" |
| **CONTEXT** | File scope + history | File patterns + Memory | "@**/*" | "@src/auth/**/*.ts @shared/utils/security.ts \| Memory: Previous auth refactoring (WFS-001)" |
| **EXPECTED** | Output specification | Format + Quality + Structure | "Report" | "Markdown report with: severity levels (Critical/High/Medium/Low), file:line references, remediation code snippets, priority ranking" |
| **RULES** | Template + constraints | $(cat template) + domain rules | (missing) | "$(cat ~/.claude/.../security.txt) \| Focus on authentication \| Ignore test files \| analysis=READ-ONLY" |
### CONTEXT Configuration
**Format**: `CONTEXT: [file patterns] | Memory: [memory context]`
#### File Patterns
| Pattern | Scope |
|---------|-------|
| `@**/*` | All files (default) |
| `@src/**/*.ts` | TypeScript in src |
| `@../shared/**/*` | Sibling directory (requires `--includeDirs`) |
| `@CLAUDE.md` | Specific file |
#### Memory Context
Include when building on previous work:
```bash
# Cross-task reference
Memory: Building on auth refactoring (commit abc123), implementing refresh tokens
# Cross-module integration
Memory: Integration with auth module, using shared error patterns from @shared/utils/errors.ts
```
**Memory Sources**:
- **Related Tasks**: Previous refactoring, extensions, conflict resolution
- **Tech Stack Patterns**: Framework conventions, security guidelines
- **Cross-Module References**: Integration points, shared utilities, type dependencies
#### Pattern Discovery Workflow
For complex requirements, discover files BEFORE CLI execution:
```bash
# Step 1: Discover files
rg "export.*Component" --files-with-matches --type ts
# Step 2: Build CONTEXT
CONTEXT: @components/Auth.tsx @types/auth.d.ts | Memory: Previous type refactoring
# Step 3: Execute CLI
ccw cli exec "..." --tool gemini --cd src
```
### RULES Configuration
**Format**: `RULES: $(cat ~/.claude/workflows/cli-templates/prompts/[category]/[template].txt) | [constraints]`
**⚠️ MANDATORY**: Exactly ONE template reference is REQUIRED. Select from Task-Template Matrix or use universal fallback:
- `universal/00-universal-rigorous-style.txt` - For precision-critical tasks (default fallback)
- `universal/00-universal-creative-style.txt` - For exploratory tasks
**Command Substitution Rules**:
- Use `$(cat ...)` directly - do NOT read template content first
- NEVER use escape characters: `\$`, `\"`, `\'`
- Tilde expands correctly in prompt context
**Examples**:
```bash
# Specific template (preferred)
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/analysis/01-diagnose-bug-root-cause.txt) | Focus on auth | analysis=READ-ONLY
# Universal fallback (when no specific template matches)
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/universal/00-universal-rigorous-style.txt) | Focus on security patterns | analysis=READ-ONLY
```
### Template System
**Base Path**: `~/.claude/workflows/cli-templates/prompts/`
**Naming Convention**:
- `00-*` - Universal fallbacks (when no specific match)
- `01-*` - Universal, high-frequency
- `02-*` - Common specialized
- `03-*` - Domain-specific
**Universal Templates**:
| Template | Use For |
|----------|---------|
| `universal/00-universal-rigorous-style.txt` | Precision-critical, systematic methodology |
| `universal/00-universal-creative-style.txt` | Exploratory, innovative solutions |
**Task-Template Matrix**:
| Task Type | Template |
|-----------|----------|
| **Analysis** | |
| Execution Tracing | `analysis/01-trace-code-execution.txt` |
| Bug Diagnosis | `analysis/01-diagnose-bug-root-cause.txt` |
| Code Patterns | `analysis/02-analyze-code-patterns.txt` |
| Document Analysis | `analysis/02-analyze-technical-document.txt` |
| Architecture Review | `analysis/02-review-architecture.txt` |
| Code Review | `analysis/02-review-code-quality.txt` |
| Performance | `analysis/03-analyze-performance.txt` |
| Security | `analysis/03-assess-security-risks.txt` |
| **Planning** | |
| Architecture | `planning/01-plan-architecture-design.txt` |
| Task Breakdown | `planning/02-breakdown-task-steps.txt` |
| Component Design | `planning/02-design-component-spec.txt` |
| Migration | `planning/03-plan-migration-strategy.txt` |
| **Development** | |
| Feature | `development/02-implement-feature.txt` |
| Refactoring | `development/02-refactor-codebase.txt` |
| Tests | `development/02-generate-tests.txt` |
| UI Component | `development/02-implement-component-ui.txt` |
| Debugging | `development/03-debug-runtime-issues.txt` |
---
## CLI Execution
### Command Options
| Option | Description | Default |
|--------|-------------|---------|
| `--tool <tool>` | gemini, qwen, codex | gemini |
| `--mode <mode>` | analysis, write, auto | analysis |
| `--model <model>` | Model override | auto-select |
| `--cd <path>` | Working directory | current |
| `--includeDirs <dirs>` | Additional directories (comma-separated) | none |
| `--timeout <ms>` | Timeout in milliseconds | 300000 |
| `--resume [id]` | Resume previous session | - |
| `--no-stream` | Disable streaming | false |
### Directory Configuration
#### Working Directory (`--cd`)
When using `--cd`:
- `@**/*` = Files within working directory tree only
- CANNOT reference parent/sibling via @ alone
- Must use `--includeDirs` for external directories
#### Include Directories (`--includeDirs`)
**TWO-STEP requirement for external files**:
1. Add `--includeDirs` parameter
2. Reference in CONTEXT with @ patterns
```bash
# Single directory
ccw cli exec "CONTEXT: @**/* @../shared/**/*" --cd src/auth --includeDirs ../shared
# Multiple directories
ccw cli exec "..." --cd src/auth --includeDirs ../shared,../types,../utils
```
**Rule**: If CONTEXT contains `@../dir/**/*`, MUST include `--includeDirs ../dir`
**Benefits**: Excludes unrelated directories, reduces token usage
### CCW Parameter Mapping
CCW automatically maps to tool-specific syntax:
| CCW Parameter | Gemini/Qwen | Codex |
|---------------|-------------|-------|
| `--cd <path>` | `cd <path> &&` | `-C <path>` |
| `--includeDirs <dirs>` | `--include-directories` | `--add-dir` (per dir) |
| `--mode write` | `--approval-mode yolo` | `-s danger-full-access` |
| `--mode auto` | N/A | `-s danger-full-access` |
### Command Examples
#### Task-Type Specific Templates
**Analysis Task** (Security Audit):
```bash
ccw cli exec "
PURPOSE: Identify OWASP Top 10 vulnerabilities in authentication module to pass security audit; success = all critical/high issues documented with remediation
TASK: • Scan for injection flaws (SQL, command, LDAP) • Check authentication bypass vectors • Evaluate session management • Assess sensitive data exposure
MODE: analysis
CONTEXT: @src/auth/**/* @src/middleware/auth.ts | Memory: Using bcrypt for passwords, JWT for sessions
EXPECTED: Security report with: severity matrix, file:line references, CVE mappings where applicable, remediation code snippets prioritized by risk
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/analysis/03-assess-security-risks.txt) | Focus on authentication | Ignore test files | analysis=READ-ONLY
" --tool gemini --cd src/auth --timeout 600000
```
**Implementation Task** (New Feature):
```bash
ccw cli exec "
PURPOSE: Implement rate limiting for API endpoints to prevent abuse; must be configurable per-endpoint; backward compatible with existing clients
TASK: • Create rate limiter middleware with sliding window • Implement per-route configuration • Add Redis backend for distributed state • Include bypass for internal services
MODE: auto
CONTEXT: @src/middleware/**/* @src/config/**/* | Memory: Using Express.js, Redis already configured, existing middleware pattern in auth.ts
EXPECTED: Production-ready code with: TypeScript types, unit tests, integration test, configuration example, migration guide
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/development/02-implement-feature.txt) | Follow existing middleware patterns | No breaking changes | auto=FULL
" --tool codex --mode auto --timeout 1800000
```
**Bug Fix Task**:
```bash
ccw cli exec "
PURPOSE: Fix memory leak in WebSocket connection handler causing server OOM after 24h; root cause must be identified before any fix
TASK: • Trace connection lifecycle from open to close • Identify event listener accumulation • Check cleanup on disconnect • Verify garbage collection eligibility
MODE: analysis
CONTEXT: @src/websocket/**/* @src/services/connection-manager.ts | Memory: Using ws library, ~5000 concurrent connections in production
EXPECTED: Root cause analysis with: memory profile, leak source (file:line), fix recommendation with code, verification steps
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/analysis/01-diagnose-bug-root-cause.txt) | Focus on resource cleanup | analysis=READ-ONLY
" --tool gemini --cd src --timeout 900000
```
**Refactoring Task**:
```bash
ccw cli exec "
PURPOSE: Refactor payment processing to use strategy pattern for multi-gateway support; no functional changes; all existing tests must pass
TASK: • Extract gateway interface from current implementation • Create strategy classes for Stripe, PayPal • Implement factory for gateway selection • Migrate existing code to use strategies
MODE: write
CONTEXT: @src/payments/**/* @src/types/payment.ts | Memory: Currently only Stripe, adding PayPal next sprint, must support future gateways
EXPECTED: Refactored code with: strategy interface, concrete implementations, factory class, updated tests, migration checklist
RULES: $(cat ~/.claude/workflows/cli-templates/prompts/development/02-refactor-codebase.txt) | Preserve all existing behavior | Tests must pass | write=CREATE/MODIFY/DELETE
" --tool gemini --mode write --timeout 1200000
```
---
## Configuration
### Timeout Allocation
**Minimum**: 5 minutes (300000ms)
| Complexity | Range | Examples |
|------------|-------|----------|
| Simple | 5-10min (300000-600000ms) | Analysis, search |
| Medium | 10-20min (600000-1200000ms) | Refactoring, documentation |
| Complex | 20-60min (1200000-3600000ms) | Implementation, migration |
| Heavy | 60-120min (3600000-7200000ms) | Large codebase, multi-file |
**Codex Multiplier**: 3x allocated time (minimum 15min / 900000ms)
```bash
ccw cli exec "<prompt>" --tool gemini --timeout 600000 # 10 min
ccw cli exec "<prompt>" --tool codex --timeout 1800000 # 30 min
```
### Permission Framework
**Single-Use Authorization**: Each execution requires explicit user instruction. Previous authorization does NOT carry over.
**Mode Hierarchy**:
- `analysis` (default): Read-only, safe for auto-execution
- `write`: Requires explicit `--mode write`
- `auto`: Requires explicit `--mode auto`
- **Exception**: User provides clear instructions like "modify", "create", "implement"
---
## Best Practices
### Workflow Principles
- **Use CCW unified interface** for all executions
- **Always include template** - Use Task-Template Matrix or universal fallback
- **Be specific** - Clear PURPOSE, TASK, EXPECTED fields
- **Include constraints** - File patterns, scope in RULES
- **Leverage memory context** when building on previous work
- **Discover patterns first** - Use rg/MCP before CLI execution
- **Default to full context** - Use `@**/*` unless specific files needed
### Workflow Integration
| Phase | Command |
|-------|---------|
| Understanding | `ccw cli exec "<prompt>" --tool gemini` |
| Architecture | `ccw cli exec "<prompt>" --tool gemini` |
| Implementation | `ccw cli exec "<prompt>" --tool codex --mode auto` |
| Quality | `ccw cli exec "<prompt>" --tool codex --mode write` |
### Planning Checklist
- [ ] **Purpose defined** - Clear goal and intent
- [ ] **Mode selected** - `--mode analysis|write|auto`
- [ ] **Context gathered** - File references + memory (default `@**/*`)
- [ ] **Directory navigation** - `--cd` and/or `--includeDirs`
- [ ] **Tool selected** - `--tool gemini|qwen|codex`
- [ ] **Template applied (REQUIRED)** - Use specific or universal fallback template
- [ ] **Constraints specified** - Scope, requirements
- [ ] **Timeout configured** - Based on complexity

View File

@@ -734,7 +734,7 @@ Return ONLY valid JSON in this exact format (no markdown, no code blocks, just p
try {
const configPath = join(projectPath, '.claude', 'rules', 'active_memory.md');
const configJsonPath = join(projectPath, '.claude', 'rules', 'active_memory_config.json');
const configJsonPath = join(projectPath, '.claude', 'active_memory_config.json');
const enabled = existsSync(configPath);
let lastSync: string | null = null;
let fileCount = 0;
@@ -785,14 +785,18 @@ Return ONLY valid JSON in this exact format (no markdown, no code blocks, just p
}
const rulesDir = join(projectPath, '.claude', 'rules');
const claudeDir = join(projectPath, '.claude');
const configPath = join(rulesDir, 'active_memory.md');
const configJsonPath = join(rulesDir, 'active_memory_config.json');
const configJsonPath = join(claudeDir, 'active_memory_config.json');
if (enabled) {
// Enable: Create directory and initial file
// Enable: Create directories and initial file
if (!existsSync(rulesDir)) {
mkdirSync(rulesDir, { recursive: true });
}
if (!existsSync(claudeDir)) {
mkdirSync(claudeDir, { recursive: true });
}
// Save config
if (config) {
@@ -844,11 +848,11 @@ Return ONLY valid JSON in this exact format (no markdown, no code blocks, just p
try {
const { config } = JSON.parse(body || '{}');
const projectPath = initialPath;
const rulesDir = join(projectPath, '.claude', 'rules');
const configJsonPath = join(rulesDir, 'active_memory_config.json');
const claudeDir = join(projectPath, '.claude');
const configJsonPath = join(claudeDir, 'active_memory_config.json');
if (!existsSync(rulesDir)) {
mkdirSync(rulesDir, { recursive: true });
if (!existsSync(claudeDir)) {
mkdirSync(claudeDir, { recursive: true });
}
writeFileSync(configJsonPath, JSON.stringify(config, null, 2), 'utf-8');
@@ -938,7 +942,10 @@ RULES: Be concise. Focus on practical understanding. Include function signatures
});
if (result.success && result.execution?.output) {
cliOutput = result.execution.output;
// Extract stdout from output object
cliOutput = typeof result.execution.output === 'string'
? result.execution.output
: result.execution.output.stdout || '';
}
// Add CLI output to content
@@ -1007,6 +1014,18 @@ RULES: Be concise. Focus on practical understanding. Include function signatures
// Write the file
writeFileSync(configPath, content, 'utf-8');
// Broadcast Active Memory sync completion event
broadcastToClients({
type: 'ACTIVE_MEMORY_SYNCED',
payload: {
filesAnalyzed: hotFiles.length,
path: configPath,
tool,
usedCli: cliOutput.length > 0,
timestamp: new Date().toISOString()
}
});
res.writeHead(200, { 'Content-Type': 'application/json' });
res.end(JSON.stringify({
success: true,

View File

@@ -3757,3 +3757,205 @@
.btn-ghost.text-destructive:hover {
background: hsl(var(--destructive) / 0.1);
}
/* ========================================
* Semantic Metadata Viewer Styles
* ======================================== */
.semantic-viewer-toolbar {
display: flex;
align-items: center;
justify-content: space-between;
padding: 0.75rem 1rem;
background: hsl(var(--muted) / 0.3);
border-bottom: 1px solid hsl(var(--border));
}
.semantic-table-container {
max-height: 400px;
overflow-y: auto;
}
.semantic-table {
width: 100%;
border-collapse: collapse;
font-size: 0.8125rem;
}
.semantic-table th {
position: sticky;
top: 0;
background: hsl(var(--card));
padding: 0.625rem 0.75rem;
text-align: left;
font-weight: 600;
font-size: 0.75rem;
color: hsl(var(--muted-foreground));
border-bottom: 1px solid hsl(var(--border));
white-space: nowrap;
}
.semantic-table td {
padding: 0.625rem 0.75rem;
border-bottom: 1px solid hsl(var(--border) / 0.5);
vertical-align: top;
}
.semantic-row {
cursor: pointer;
transition: background 0.15s ease;
}
.semantic-row:hover {
background: hsl(var(--hover));
}
.semantic-cell-file {
max-width: 200px;
}
.semantic-cell-lang {
width: 80px;
color: hsl(var(--muted-foreground));
}
.semantic-cell-purpose {
max-width: 180px;
color: hsl(var(--foreground) / 0.8);
}
.semantic-cell-keywords {
max-width: 160px;
}
.semantic-cell-tool {
width: 70px;
}
.semantic-cell-date {
width: 80px;
color: hsl(var(--muted-foreground));
font-size: 0.75rem;
}
.semantic-keyword {
display: inline-block;
padding: 0.125rem 0.375rem;
margin: 0.125rem;
background: hsl(var(--primary) / 0.1);
color: hsl(var(--primary));
border-radius: 0.25rem;
font-size: 0.6875rem;
}
.semantic-keyword-more {
display: inline-block;
padding: 0.125rem 0.375rem;
margin: 0.125rem;
background: hsl(var(--muted));
color: hsl(var(--muted-foreground));
border-radius: 0.25rem;
font-size: 0.6875rem;
}
.tool-badge {
display: inline-block;
padding: 0.125rem 0.5rem;
border-radius: 0.25rem;
font-size: 0.6875rem;
font-weight: 500;
text-transform: capitalize;
}
.tool-badge.tool-gemini {
background: hsl(210 80% 55% / 0.15);
color: hsl(210 80% 45%);
}
.tool-badge.tool-qwen {
background: hsl(142 76% 36% / 0.15);
color: hsl(142 76% 36%);
}
.tool-badge.tool-unknown {
background: hsl(var(--muted));
color: hsl(var(--muted-foreground));
}
.semantic-detail-row {
background: hsl(var(--muted) / 0.2);
}
.semantic-detail-row.hidden {
display: none;
}
.semantic-detail-content {
padding: 1rem;
}
.semantic-detail-section {
margin-bottom: 1rem;
}
.semantic-detail-section h4 {
display: flex;
align-items: center;
gap: 0.5rem;
font-size: 0.75rem;
font-weight: 600;
color: hsl(var(--muted-foreground));
margin-bottom: 0.5rem;
text-transform: uppercase;
letter-spacing: 0.05em;
}
.semantic-detail-section p {
font-size: 0.8125rem;
line-height: 1.5;
color: hsl(var(--foreground));
}
.semantic-keywords-full {
display: flex;
flex-wrap: wrap;
gap: 0.25rem;
}
.semantic-detail-meta {
display: flex;
gap: 1rem;
padding-top: 0.75rem;
border-top: 1px solid hsl(var(--border) / 0.5);
font-size: 0.75rem;
color: hsl(var(--muted-foreground));
}
.semantic-detail-meta span {
display: flex;
align-items: center;
gap: 0.375rem;
}
.semantic-viewer-footer {
display: flex;
align-items: center;
justify-content: space-between;
padding: 0.75rem 1rem;
background: hsl(var(--muted) / 0.3);
border-top: 1px solid hsl(var(--border));
}
.semantic-loading,
.semantic-empty {
display: flex;
flex-direction: column;
align-items: center;
justify-content: center;
padding: 3rem;
text-align: center;
color: hsl(var(--muted-foreground));
}
.semantic-loading {
gap: 1rem;
}

View File

@@ -2097,7 +2097,7 @@
position: fixed;
top: 0;
right: 0;
width: 480px;
width: 50vw;
max-width: 100vw;
height: 100vh;
background: hsl(var(--card));
@@ -2132,7 +2132,6 @@
justify-content: space-between;
padding: 1rem 1.25rem;
border-bottom: 1px solid hsl(var(--border));
background: hsl(var(--muted) / 0.3);
}
.insight-detail-header h3 {

View File

@@ -238,6 +238,31 @@ function handleNotification(data) {
}
break;
case 'ACTIVE_MEMORY_SYNCED':
// Handle Active Memory sync completion
if (typeof addGlobalNotification === 'function') {
const { filesAnalyzed, tool, usedCli } = payload;
const method = usedCli ? `CLI (${tool})` : 'Basic';
addGlobalNotification(
'success',
'Active Memory synced',
{
'Files Analyzed': filesAnalyzed,
'Method': method,
'Timestamp': new Date(payload.timestamp).toLocaleTimeString()
},
'Memory'
);
}
// Refresh Active Memory status if on memory view
if (getCurrentView && getCurrentView() === 'memory') {
if (typeof loadActiveMemoryStatus === 'function') {
loadActiveMemoryStatus();
}
}
console.log('[Active Memory] Sync completed:', payload);
break;
default:
console.log('[WS] Unknown notification type:', type);
}

View File

@@ -1123,11 +1123,11 @@ def semantic_list(
registry.initialize()
mapper = PathMapper()
project_info = registry.find_project(base_path)
project_info = registry.get_project(base_path)
if not project_info:
raise CodexLensError(f"No index found for: {base_path}. Run 'codex-lens init' first.")
index_dir = mapper.source_to_index_dir(base_path)
index_dir = Path(project_info.index_root)
if not index_dir.exists():
raise CodexLensError(f"Index directory not found: {index_dir}")

View File

@@ -375,6 +375,7 @@ class DirIndexStore:
keywords_json = json.dumps(keywords)
generated_at = time.time()
# Write to semantic_metadata table (for backward compatibility)
conn.execute(
"""
INSERT INTO semantic_metadata(file_id, summary, keywords, purpose, llm_tool, generated_at)
@@ -388,6 +389,37 @@ class DirIndexStore:
""",
(file_id, summary, keywords_json, purpose, llm_tool, generated_at),
)
# Write to normalized keywords tables for optimized search
# First, remove existing keyword associations
conn.execute("DELETE FROM file_keywords WHERE file_id = ?", (file_id,))
# Then add new keywords
for keyword in keywords:
keyword = keyword.strip()
if not keyword:
continue
# Insert keyword if it doesn't exist
conn.execute(
"INSERT OR IGNORE INTO keywords(keyword) VALUES(?)",
(keyword,)
)
# Get keyword_id
row = conn.execute(
"SELECT id FROM keywords WHERE keyword = ?",
(keyword,)
).fetchone()
if row:
keyword_id = row["id"]
# Link file to keyword
conn.execute(
"INSERT OR IGNORE INTO file_keywords(file_id, keyword_id) VALUES(?, ?)",
(file_id, keyword_id)
)
conn.commit()
def get_semantic_metadata(self, file_id: int) -> Optional[Dict[str, Any]]:
@@ -454,11 +486,12 @@ class DirIndexStore:
for row in rows
]
def search_semantic_keywords(self, keyword: str) -> List[Tuple[FileEntry, List[str]]]:
def search_semantic_keywords(self, keyword: str, use_normalized: bool = True) -> List[Tuple[FileEntry, List[str]]]:
"""Search files by semantic keywords.
Args:
keyword: Keyword to search for (case-insensitive)
use_normalized: Use optimized normalized tables (default: True)
Returns:
List of (FileEntry, keywords) tuples where keyword matches
@@ -466,35 +499,71 @@ class DirIndexStore:
with self._lock:
conn = self._get_connection()
keyword_pattern = f"%{keyword}%"
if use_normalized:
# Optimized query using normalized tables with indexed lookup
# Use prefix search (keyword%) for better index utilization
keyword_pattern = f"{keyword}%"
rows = conn.execute(
"""
SELECT f.id, f.name, f.full_path, f.language, f.mtime, f.line_count, sm.keywords
FROM files f
JOIN semantic_metadata sm ON f.id = sm.file_id
WHERE sm.keywords LIKE ? COLLATE NOCASE
ORDER BY f.name
""",
(keyword_pattern,),
).fetchall()
rows = conn.execute(
"""
SELECT f.id, f.name, f.full_path, f.language, f.mtime, f.line_count,
GROUP_CONCAT(k.keyword, ',') as keywords
FROM files f
JOIN file_keywords fk ON f.id = fk.file_id
JOIN keywords k ON fk.keyword_id = k.id
WHERE k.keyword LIKE ? COLLATE NOCASE
GROUP BY f.id, f.name, f.full_path, f.language, f.mtime, f.line_count
ORDER BY f.name
""",
(keyword_pattern,),
).fetchall()
import json
results = []
for row in rows:
file_entry = FileEntry(
id=int(row["id"]),
name=row["name"],
full_path=Path(row["full_path"]),
language=row["language"],
mtime=float(row["mtime"]) if row["mtime"] else 0.0,
line_count=int(row["line_count"]) if row["line_count"] else 0,
)
keywords = row["keywords"].split(',') if row["keywords"] else []
results.append((file_entry, keywords))
results = []
for row in rows:
file_entry = FileEntry(
id=int(row["id"]),
name=row["name"],
full_path=Path(row["full_path"]),
language=row["language"],
mtime=float(row["mtime"]) if row["mtime"] else 0.0,
line_count=int(row["line_count"]) if row["line_count"] else 0,
)
keywords = json.loads(row["keywords"]) if row["keywords"] else []
results.append((file_entry, keywords))
return results
return results
else:
# Fallback to original query for backward compatibility
keyword_pattern = f"%{keyword}%"
rows = conn.execute(
"""
SELECT f.id, f.name, f.full_path, f.language, f.mtime, f.line_count, sm.keywords
FROM files f
JOIN semantic_metadata sm ON f.id = sm.file_id
WHERE sm.keywords LIKE ? COLLATE NOCASE
ORDER BY f.name
""",
(keyword_pattern,),
).fetchall()
import json
results = []
for row in rows:
file_entry = FileEntry(
id=int(row["id"]),
name=row["name"],
full_path=Path(row["full_path"]),
language=row["language"],
mtime=float(row["mtime"]) if row["mtime"] else 0.0,
line_count=int(row["line_count"]) if row["line_count"] else 0,
)
keywords = json.loads(row["keywords"]) if row["keywords"] else []
results.append((file_entry, keywords))
return results
def list_semantic_metadata(
self,
@@ -794,19 +863,26 @@ class DirIndexStore:
return [row["full_path"] for row in rows]
def search_symbols(
self, name: str, kind: Optional[str] = None, limit: int = 50
self, name: str, kind: Optional[str] = None, limit: int = 50, prefix_mode: bool = True
) -> List[Symbol]:
"""Search symbols by name pattern.
Args:
name: Symbol name pattern (LIKE query)
name: Symbol name pattern
kind: Optional symbol kind filter
limit: Maximum results to return
prefix_mode: If True, use prefix search (faster with index);
If False, use substring search (slower)
Returns:
List of Symbol objects
"""
pattern = f"%{name}%"
# Prefix search is much faster as it can use index
if prefix_mode:
pattern = f"{name}%"
else:
pattern = f"%{name}%"
with self._lock:
conn = self._get_connection()
if kind:
@@ -979,6 +1055,28 @@ class DirIndexStore:
"""
)
# Normalized keywords tables for performance
conn.execute(
"""
CREATE TABLE IF NOT EXISTS keywords (
id INTEGER PRIMARY KEY,
keyword TEXT NOT NULL UNIQUE
)
"""
)
conn.execute(
"""
CREATE TABLE IF NOT EXISTS file_keywords (
file_id INTEGER NOT NULL,
keyword_id INTEGER NOT NULL,
PRIMARY KEY (file_id, keyword_id),
FOREIGN KEY (file_id) REFERENCES files (id) ON DELETE CASCADE,
FOREIGN KEY (keyword_id) REFERENCES keywords (id) ON DELETE CASCADE
)
"""
)
# Indexes
conn.execute("CREATE INDEX IF NOT EXISTS idx_files_name ON files(name)")
conn.execute("CREATE INDEX IF NOT EXISTS idx_files_path ON files(full_path)")
@@ -986,6 +1084,9 @@ class DirIndexStore:
conn.execute("CREATE INDEX IF NOT EXISTS idx_symbols_name ON symbols(name)")
conn.execute("CREATE INDEX IF NOT EXISTS idx_symbols_file ON symbols(file_id)")
conn.execute("CREATE INDEX IF NOT EXISTS idx_semantic_file ON semantic_metadata(file_id)")
conn.execute("CREATE INDEX IF NOT EXISTS idx_keywords_keyword ON keywords(keyword)")
conn.execute("CREATE INDEX IF NOT EXISTS idx_file_keywords_file_id ON file_keywords(file_id)")
conn.execute("CREATE INDEX IF NOT EXISTS idx_file_keywords_keyword_id ON file_keywords(keyword_id)")
except sqlite3.DatabaseError as exc:
raise StorageError(f"Failed to create schema: {exc}") from exc

View File

@@ -0,0 +1,139 @@
"""
Manages database schema migrations.
This module provides a framework for applying versioned migrations to the SQLite
database. Migrations are discovered from the `codexlens.storage.migrations`
package and applied sequentially. The database schema version is tracked using
the `user_version` pragma.
"""
import importlib
import logging
import pkgutil
from pathlib import Path
from sqlite3 import Connection
from typing import List, NamedTuple
log = logging.getLogger(__name__)
class Migration(NamedTuple):
"""Represents a single database migration."""
version: int
name: str
upgrade: callable
def discover_migrations() -> List[Migration]:
"""
Discovers and returns a sorted list of database migrations.
Migrations are expected to be in the `codexlens.storage.migrations` package,
with filenames in the format `migration_XXX_description.py`, where XXX is
the version number. Each migration module must contain an `upgrade` function
that takes a `sqlite3.Connection` object as its argument.
Returns:
A list of Migration objects, sorted by version.
"""
import codexlens.storage.migrations
migrations = []
package_path = Path(codexlens.storage.migrations.__file__).parent
for _, name, _ in pkgutil.iter_modules([str(package_path)]):
if name.startswith("migration_"):
try:
version = int(name.split("_")[1])
module = importlib.import_module(f"codexlens.storage.migrations.{name}")
if hasattr(module, "upgrade"):
migrations.append(
Migration(version=version, name=name, upgrade=module.upgrade)
)
else:
log.warning(f"Migration {name} is missing 'upgrade' function.")
except (ValueError, IndexError) as e:
log.warning(f"Could not parse migration name {name}: {e}")
except ImportError as e:
log.warning(f"Could not import migration {name}: {e}")
migrations.sort(key=lambda m: m.version)
return migrations
class MigrationManager:
"""
Manages the application of migrations to a database.
"""
def __init__(self, db_conn: Connection):
"""
Initializes the MigrationManager.
Args:
db_conn: The SQLite database connection.
"""
self.db_conn = db_conn
self.migrations = discover_migrations()
def get_current_version(self) -> int:
"""
Gets the current version of the database schema.
Returns:
The current schema version number.
"""
return self.db_conn.execute("PRAGMA user_version").fetchone()[0]
def set_version(self, version: int):
"""
Sets the database schema version.
Args:
version: The version number to set.
"""
self.db_conn.execute(f"PRAGMA user_version = {version}")
log.info(f"Database schema version set to {version}")
def apply_migrations(self):
"""
Applies all pending migrations to the database.
This method checks the current database version and applies all
subsequent migrations in order. Each migration is applied within
a transaction.
"""
current_version = self.get_current_version()
log.info(f"Current database schema version: {current_version}")
for migration in self.migrations:
if migration.version > current_version:
log.info(f"Applying migration {migration.version}: {migration.name}...")
try:
self.db_conn.execute("BEGIN")
migration.upgrade(self.db_conn)
self.set_version(migration.version)
self.db_conn.execute("COMMIT")
log.info(
f"Successfully applied migration {migration.version}: {migration.name}"
)
except Exception as e:
log.error(
f"Failed to apply migration {migration.version}: {migration.name}. Rolling back. Error: {e}",
exc_info=True,
)
self.db_conn.execute("ROLLBACK")
raise
latest_migration_version = self.migrations[-1].version if self.migrations else 0
if current_version < latest_migration_version:
# This case can be hit if migrations were applied but the loop was exited
# and set_version was not called for the last one for some reason.
# To be safe, we explicitly set the version to the latest known migration.
final_version = self.get_current_version()
if final_version != latest_migration_version:
log.warning(f"Database version ({final_version}) is not the latest migration version ({latest_migration_version}). This may indicate a problem.")
log.info("All pending migrations applied successfully.")

View File

@@ -0,0 +1 @@
# This file makes the 'migrations' directory a Python package.

View File

@@ -0,0 +1,108 @@
"""
Migration 001: Normalize keywords into separate tables.
This migration introduces two new tables, `keywords` and `file_keywords`, to
store semantic keywords in a normalized fashion. It then migrates the existing
keywords from the `semantic_data` JSON blob in the `files` table into these
new tables. This is intended to speed up keyword-based searches significantly.
"""
import json
import logging
from sqlite3 import Connection
log = logging.getLogger(__name__)
def upgrade(db_conn: Connection):
"""
Applies the migration to normalize keywords.
- Creates `keywords` and `file_keywords` tables.
- Creates indexes for efficient querying.
- Migrates data from `files.semantic_data` to the new tables.
Args:
db_conn: The SQLite database connection.
"""
cursor = db_conn.cursor()
log.info("Creating 'keywords' and 'file_keywords' tables...")
# Create a table to store unique keywords
cursor.execute(
"""
CREATE TABLE IF NOT EXISTS keywords (
id INTEGER PRIMARY KEY,
keyword TEXT NOT NULL UNIQUE
)
"""
)
# Create a join table to link files and keywords (many-to-many)
cursor.execute(
"""
CREATE TABLE IF NOT EXISTS file_keywords (
file_id INTEGER NOT NULL,
keyword_id INTEGER NOT NULL,
PRIMARY KEY (file_id, keyword_id),
FOREIGN KEY (file_id) REFERENCES files (id) ON DELETE CASCADE,
FOREIGN KEY (keyword_id) REFERENCES keywords (id) ON DELETE CASCADE
)
"""
)
log.info("Creating indexes for new keyword tables...")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_keywords_keyword ON keywords (keyword)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_file_keywords_file_id ON file_keywords (file_id)")
cursor.execute("CREATE INDEX IF NOT EXISTS idx_file_keywords_keyword_id ON file_keywords (keyword_id)")
log.info("Migrating existing keywords from 'semantic_metadata' table...")
cursor.execute("SELECT file_id, keywords FROM semantic_metadata WHERE keywords IS NOT NULL AND keywords != ''")
files_to_migrate = cursor.fetchall()
if not files_to_migrate:
log.info("No existing files with semantic metadata to migrate.")
return
log.info(f"Found {len(files_to_migrate)} files with semantic metadata to migrate.")
for file_id, keywords_json in files_to_migrate:
if not keywords_json:
continue
try:
keywords = json.loads(keywords_json)
if not isinstance(keywords, list):
log.warning(f"Keywords for file_id {file_id} is not a list, skipping.")
continue
for keyword in keywords:
if not isinstance(keyword, str):
log.warning(f"Non-string keyword '{keyword}' found for file_id {file_id}, skipping.")
continue
keyword = keyword.strip()
if not keyword:
continue
# Get or create keyword_id
cursor.execute("INSERT OR IGNORE INTO keywords (keyword) VALUES (?)", (keyword,))
cursor.execute("SELECT id FROM keywords WHERE keyword = ?", (keyword,))
keyword_id_result = cursor.fetchone()
if keyword_id_result:
keyword_id = keyword_id_result[0]
# Link file to keyword
cursor.execute(
"INSERT OR IGNORE INTO file_keywords (file_id, keyword_id) VALUES (?, ?)",
(file_id, keyword_id),
)
else:
log.error(f"Failed to retrieve or create keyword_id for keyword: {keyword}")
except json.JSONDecodeError as e:
log.warning(f"Could not parse keywords for file_id {file_id}: {e}")
except Exception as e:
log.error(f"An unexpected error occurred during migration for file_id {file_id}: {e}", exc_info=True)
log.info("Finished migrating keywords.")

View File

@@ -424,6 +424,9 @@ class RegistryStore:
Searches for the closest parent directory that has an index.
Useful for supporting subdirectory searches.
Optimized to use single database query instead of iterating through
each parent directory level.
Args:
source_path: Source directory or file path
@@ -434,23 +437,30 @@ class RegistryStore:
conn = self._get_connection()
source_path_resolved = source_path.resolve()
# Check from current path up to root
# Build list of all parent paths from deepest to shallowest
paths_to_check = []
current = source_path_resolved
while True:
current_str = str(current)
row = conn.execute(
"SELECT * FROM dir_mapping WHERE source_path=?", (current_str,)
).fetchone()
if row:
return self._row_to_dir_mapping(row)
paths_to_check.append(str(current))
parent = current.parent
if parent == current: # Reached filesystem root
break
current = parent
return None
if not paths_to_check:
return None
# Single query with WHERE IN, ordered by path length (longest = nearest)
placeholders = ','.join('?' * len(paths_to_check))
query = f"""
SELECT * FROM dir_mapping
WHERE source_path IN ({placeholders})
ORDER BY LENGTH(source_path) DESC
LIMIT 1
"""
row = conn.execute(query, paths_to_check).fetchone()
return self._row_to_dir_mapping(row) if row else None
def get_project_dirs(self, project_id: int) -> List[DirMapping]:
"""Get all directory mappings for a project.

View File

@@ -0,0 +1,218 @@
"""
Simple validation for performance optimizations (Windows-safe).
"""
import sys
sys.stdout.reconfigure(encoding='utf-8')
import json
import sqlite3
import tempfile
import time
from pathlib import Path
from codexlens.storage.dir_index import DirIndexStore
from codexlens.storage.registry import RegistryStore
def main():
print("=" * 60)
print("CodexLens Performance Optimizations - Simple Validation")
print("=" * 60)
# Test 1: Keyword Normalization
print("\n[1/4] Testing Keyword Normalization...")
try:
tmpdir = tempfile.mkdtemp()
db_path = Path(tmpdir) / "test1.db"
store = DirIndexStore(db_path)
store.initialize()
file_id = store.add_file(
name="test.py",
full_path=Path(f"{tmpdir}/test.py"),
content="def hello(): pass",
language="python"
)
keywords = ["auth", "security", "jwt"]
store.add_semantic_metadata(
file_id=file_id,
summary="Test",
keywords=keywords,
purpose="Testing",
llm_tool="gemini"
)
# Check normalized tables
conn = store._get_connection()
count = conn.execute(
"SELECT COUNT(*) as c FROM file_keywords WHERE file_id=?",
(file_id,)
).fetchone()["c"]
store.close()
assert count == 3, f"Expected 3 keywords, got {count}"
print(" PASS: Keywords stored in normalized tables")
# Test optimized search
store = DirIndexStore(db_path)
results = store.search_semantic_keywords("auth", use_normalized=True)
store.close()
assert len(results) == 1
print(" PASS: Optimized keyword search works")
except Exception as e:
import traceback
print(f" FAIL: {e}")
traceback.print_exc()
return 1
# Test 2: Path Lookup Optimization
print("\n[2/4] Testing Path Lookup Optimization...")
try:
tmpdir = tempfile.mkdtemp()
db_path = Path(tmpdir) / "test2.db"
store = RegistryStore(db_path)
store.initialize() # Create schema
# Register a project first
project = store.register_project(
source_root=Path("/a"),
index_root=Path("/tmp")
)
# Register directory
store.register_dir(
project_id=project.id,
source_path=Path("/a/b/c"),
index_path=Path("/tmp/index.db"),
depth=2,
files_count=0
)
deep_path = Path("/a/b/c/d/e/f/g/h/i/j/file.py")
start = time.perf_counter()
result = store.find_nearest_index(deep_path)
elapsed = time.perf_counter() - start
store.close()
assert result is not None, "No result found"
# Path is normalized, just check it contains the key parts
assert "a" in str(result.source_path) and "b" in str(result.source_path) and "c" in str(result.source_path)
assert elapsed < 0.05, f"Too slow: {elapsed*1000:.2f}ms"
print(f" PASS: Found nearest index in {elapsed*1000:.2f}ms")
except Exception as e:
import traceback
print(f" FAIL: {e}")
traceback.print_exc()
return 1
# Test 3: Symbol Search Prefix Mode
print("\n[3/4] Testing Symbol Search Prefix Mode...")
try:
tmpdir = tempfile.mkdtemp()
db_path = Path(tmpdir) / "test3.db"
store = DirIndexStore(db_path)
store.initialize()
from codexlens.entities import Symbol
file_id = store.add_file(
name="test.py",
full_path=Path(f"{tmpdir}/test.py"),
content="def hello(): pass\n" * 10,
language="python",
symbols=[
Symbol(name="get_user", kind="function", range=(1, 5)),
Symbol(name="get_item", kind="function", range=(6, 10)),
Symbol(name="create_user", kind="function", range=(11, 15)),
]
)
# Prefix search
results = store.search_symbols("get", prefix_mode=True)
store.close()
assert len(results) == 2, f"Expected 2, got {len(results)}"
for symbol in results:
assert symbol.name.startswith("get")
print(f" PASS: Prefix search found {len(results)} symbols")
except Exception as e:
import traceback
print(f" FAIL: {e}")
traceback.print_exc()
return 1
# Test 4: Performance Comparison
print("\n[4/4] Testing Performance Comparison...")
try:
tmpdir = tempfile.mkdtemp()
db_path = Path(tmpdir) / "test4.db"
store = DirIndexStore(db_path)
store.initialize()
# Create 50 files with keywords
for i in range(50):
file_id = store.add_file(
name=f"file_{i}.py",
full_path=Path(f"{tmpdir}/file_{i}.py"),
content=f"def function_{i}(): pass",
language="python"
)
keywords = ["auth", "security"] if i % 2 == 0 else ["api", "endpoint"]
store.add_semantic_metadata(
file_id=file_id,
summary=f"File {i}",
keywords=keywords,
purpose="Testing",
llm_tool="gemini"
)
# Benchmark normalized
start = time.perf_counter()
for _ in range(5):
results_norm = store.search_semantic_keywords("auth", use_normalized=True)
norm_time = time.perf_counter() - start
# Benchmark fallback
start = time.perf_counter()
for _ in range(5):
results_fallback = store.search_semantic_keywords("auth", use_normalized=False)
fallback_time = time.perf_counter() - start
store.close()
assert len(results_norm) == len(results_fallback)
speedup = fallback_time / norm_time if norm_time > 0 else 1.0
print(f" Normalized: {norm_time*1000:.2f}ms (5 iterations)")
print(f" Fallback: {fallback_time*1000:.2f}ms (5 iterations)")
print(f" Speedup: {speedup:.2f}x")
print(" PASS: Performance test completed")
except Exception as e:
import traceback
print(f" FAIL: {e}")
traceback.print_exc()
return 1
print("\n" + "=" * 60)
print("ALL VALIDATION TESTS PASSED")
print("=" * 60)
return 0
if __name__ == "__main__":
exit(main())

View File

@@ -0,0 +1,467 @@
"""Tests for performance optimizations in CodexLens storage.
This module tests the following optimizations:
1. Normalized keywords search (migration_001)
2. Optimized path lookup in registry
3. Prefix-mode symbol search
"""
import json
import sqlite3
import tempfile
import time
from pathlib import Path
import pytest
from codexlens.storage.dir_index import DirIndexStore
from codexlens.storage.registry import RegistryStore
from codexlens.storage.migration_manager import MigrationManager
from codexlens.storage.migrations import migration_001_normalize_keywords
@pytest.fixture
def temp_index_db():
"""Create a temporary dir index database."""
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test_index.db"
store = DirIndexStore(db_path)
store.initialize() # Initialize schema
yield store
store.close()
@pytest.fixture
def temp_registry_db():
"""Create a temporary registry database."""
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test_registry.db"
store = RegistryStore(db_path)
store.initialize() # Initialize schema
yield store
store.close()
@pytest.fixture
def populated_index_db(temp_index_db):
"""Create an index database with sample data.
Uses 100 files to provide meaningful performance comparison between
optimized and fallback implementations.
"""
from codexlens.entities import Symbol
store = temp_index_db
# Add files with symbols and keywords
# Using 100 files to show performance improvements
file_ids = []
# Define keyword pools for cycling
keyword_pools = [
["auth", "security", "jwt"],
["database", "sql", "query"],
["auth", "login", "password"],
["api", "rest", "endpoint"],
["cache", "redis", "performance"],
["auth", "oauth", "token"],
["test", "unittest", "pytest"],
["database", "postgres", "migration"],
["api", "graphql", "resolver"],
["security", "encryption", "crypto"]
]
for i in range(100):
# Create symbols for first 50 files to have more symbol search data
symbols = None
if i < 50:
symbols = [
Symbol(name=f"get_user_{i}", kind="function", range=(1, 10)),
Symbol(name=f"create_user_{i}", kind="function", range=(11, 20)),
Symbol(name=f"UserClass_{i}", kind="class", range=(21, 40)),
]
file_id = store.add_file(
name=f"file_{i}.py",
full_path=Path(f"/test/path/file_{i}.py"),
content=f"def function_{i}(): pass\n" * 10,
language="python",
symbols=symbols
)
file_ids.append(file_id)
# Add semantic metadata with keywords (cycle through keyword pools)
keywords = keyword_pools[i % len(keyword_pools)]
store.add_semantic_metadata(
file_id=file_id,
summary=f"Test file {file_id}",
keywords=keywords,
purpose="Testing",
llm_tool="gemini"
)
return store
class TestKeywordNormalization:
"""Test normalized keywords functionality."""
def test_migration_creates_tables(self, temp_index_db):
"""Test that migration creates keywords and file_keywords tables."""
conn = temp_index_db._get_connection()
# Verify tables exist (created by _create_schema)
tables = conn.execute("""
SELECT name FROM sqlite_master
WHERE type='table' AND name IN ('keywords', 'file_keywords')
""").fetchall()
assert len(tables) == 2
def test_migration_creates_indexes(self, temp_index_db):
"""Test that migration creates necessary indexes."""
conn = temp_index_db._get_connection()
# Check for indexes
indexes = conn.execute("""
SELECT name FROM sqlite_master
WHERE type='index' AND name IN (
'idx_keywords_keyword',
'idx_file_keywords_file_id',
'idx_file_keywords_keyword_id'
)
""").fetchall()
assert len(indexes) == 3
def test_add_semantic_metadata_populates_normalized_tables(self, temp_index_db):
"""Test that adding metadata populates both old and new tables."""
# Add a file
file_id = temp_index_db.add_file(
name="test.py",
full_path=Path("/test/test.py"),
language="python",
content="test"
)
# Add semantic metadata
keywords = ["auth", "security", "jwt"]
temp_index_db.add_semantic_metadata(
file_id=file_id,
summary="Test summary",
keywords=keywords,
purpose="Testing",
llm_tool="gemini"
)
conn = temp_index_db._get_connection()
# Check semantic_metadata table (backward compatibility)
row = conn.execute(
"SELECT keywords FROM semantic_metadata WHERE file_id=?",
(file_id,)
).fetchone()
assert row is not None
assert json.loads(row["keywords"]) == keywords
# Check normalized keywords table
keyword_rows = conn.execute("""
SELECT k.keyword
FROM file_keywords fk
JOIN keywords k ON fk.keyword_id = k.id
WHERE fk.file_id = ?
""", (file_id,)).fetchall()
assert len(keyword_rows) == 3
normalized_keywords = [row["keyword"] for row in keyword_rows]
assert set(normalized_keywords) == set(keywords)
def test_search_semantic_keywords_normalized(self, populated_index_db):
"""Test optimized keyword search using normalized tables."""
results = populated_index_db.search_semantic_keywords("auth", use_normalized=True)
# Should find 3 files with "auth" keyword
assert len(results) >= 3
# Verify results structure
for file_entry, keywords in results:
assert file_entry.name.startswith("file_")
assert isinstance(keywords, list)
assert any("auth" in k.lower() for k in keywords)
def test_search_semantic_keywords_fallback(self, populated_index_db):
"""Test that fallback search still works."""
results = populated_index_db.search_semantic_keywords("auth", use_normalized=False)
# Should find files with "auth" keyword
assert len(results) >= 3
for file_entry, keywords in results:
assert isinstance(keywords, list)
class TestPathLookupOptimization:
"""Test optimized path lookup in registry."""
def test_find_nearest_index_shallow(self, temp_registry_db):
"""Test path lookup with shallow directory structure."""
# Register a project first
project = temp_registry_db.register_project(
source_root=Path("/test"),
index_root=Path("/tmp")
)
# Register directory mapping
temp_registry_db.register_dir(
project_id=project.id,
source_path=Path("/test"),
index_path=Path("/tmp/index.db"),
depth=0,
files_count=0
)
# Search for subdirectory
result = temp_registry_db.find_nearest_index(Path("/test/subdir/file.py"))
assert result is not None
# Compare as strings for cross-platform compatibility
assert "/test" in str(result.source_path) or "\\test" in str(result.source_path)
def test_find_nearest_index_deep(self, temp_registry_db):
"""Test path lookup with deep directory structure."""
# Register a project
project = temp_registry_db.register_project(
source_root=Path("/a"),
index_root=Path("/tmp")
)
# Add directory mappings at different levels
temp_registry_db.register_dir(
project_id=project.id,
source_path=Path("/a"),
index_path=Path("/tmp/index_a.db"),
depth=0,
files_count=0
)
temp_registry_db.register_dir(
project_id=project.id,
source_path=Path("/a/b/c"),
index_path=Path("/tmp/index_abc.db"),
depth=2,
files_count=0
)
# Should find nearest (longest) match
result = temp_registry_db.find_nearest_index(Path("/a/b/c/d/e/f/file.py"))
assert result is not None
# Check that path contains the key parts
result_path = str(result.source_path)
assert "a" in result_path and "b" in result_path and "c" in result_path
def test_find_nearest_index_not_found(self, temp_registry_db):
"""Test path lookup when no mapping exists."""
result = temp_registry_db.find_nearest_index(Path("/nonexistent/path"))
assert result is None
def test_find_nearest_index_performance(self, temp_registry_db):
"""Basic performance test for path lookup."""
# Register a project
project = temp_registry_db.register_project(
source_root=Path("/root"),
index_root=Path("/tmp")
)
# Add mapping at root
temp_registry_db.register_dir(
project_id=project.id,
source_path=Path("/root"),
index_path=Path("/tmp/index.db"),
depth=0,
files_count=0
)
# Test with very deep path (10 levels)
deep_path = Path("/root/a/b/c/d/e/f/g/h/i/j/file.py")
start = time.perf_counter()
result = temp_registry_db.find_nearest_index(deep_path)
elapsed = time.perf_counter() - start
# Should complete quickly (< 50ms even on slow systems)
assert elapsed < 0.05
assert result is not None
class TestSymbolSearchOptimization:
"""Test optimized symbol search."""
def test_symbol_search_prefix_mode(self, populated_index_db):
"""Test symbol search with prefix mode."""
results = populated_index_db.search_symbols("get", prefix_mode=True)
# Should find symbols starting with "get"
assert len(results) > 0
for symbol in results:
assert symbol.name.startswith("get")
def test_symbol_search_substring_mode(self, populated_index_db):
"""Test symbol search with substring mode."""
results = populated_index_db.search_symbols("user", prefix_mode=False)
# Should find symbols containing "user"
assert len(results) > 0
for symbol in results:
assert "user" in symbol.name.lower()
def test_symbol_search_with_kind_filter(self, populated_index_db):
"""Test symbol search with kind filter."""
results = populated_index_db.search_symbols(
"UserClass",
kind="class",
prefix_mode=True
)
# Should find only class symbols
assert len(results) > 0
for symbol in results:
assert symbol.kind == "class"
def test_symbol_search_limit(self, populated_index_db):
"""Test symbol search respects limit."""
results = populated_index_db.search_symbols("", prefix_mode=True, limit=5)
# Should return at most 5 results
assert len(results) <= 5
class TestMigrationManager:
"""Test migration manager functionality."""
def test_migration_manager_tracks_version(self, temp_index_db):
"""Test that migration manager tracks schema version."""
conn = temp_index_db._get_connection()
manager = MigrationManager(conn)
current_version = manager.get_current_version()
assert current_version >= 0
def test_migration_001_can_run(self, temp_index_db):
"""Test that migration_001 can be applied."""
conn = temp_index_db._get_connection()
# Add some test data to semantic_metadata first
conn.execute("""
INSERT INTO files(id, name, full_path, language, content, mtime, line_count)
VALUES(100, 'test.py', '/test_migration.py', 'python', 'def test(): pass', 0, 10)
""")
conn.execute("""
INSERT INTO semantic_metadata(file_id, keywords)
VALUES(100, ?)
""", (json.dumps(["test", "keyword"]),))
conn.commit()
# Run migration (should be idempotent, tables already created by initialize())
try:
migration_001_normalize_keywords.upgrade(conn)
success = True
except Exception as e:
success = False
print(f"Migration failed: {e}")
assert success
# Verify data was migrated
keyword_count = conn.execute("""
SELECT COUNT(*) as c FROM file_keywords WHERE file_id=100
""").fetchone()["c"]
assert keyword_count == 2 # "test" and "keyword"
class TestPerformanceComparison:
"""Compare performance of old vs new implementations."""
def test_keyword_search_performance(self, populated_index_db):
"""Compare keyword search performance.
IMPORTANT: The normalized query optimization is designed for large datasets
(1000+ files). On small datasets (< 1000 files), the overhead of JOINs and
GROUP BY operations can make the normalized query slower than the simple
LIKE query on JSON fields. This is expected behavior.
Performance benefits appear when:
- Dataset size > 1000 files
- Full-table scans on JSON LIKE become the bottleneck
- Index-based lookups provide O(log N) complexity advantage
"""
# Normalized search
start = time.perf_counter()
normalized_results = populated_index_db.search_semantic_keywords(
"auth",
use_normalized=True
)
normalized_time = time.perf_counter() - start
# Fallback search
start = time.perf_counter()
fallback_results = populated_index_db.search_semantic_keywords(
"auth",
use_normalized=False
)
fallback_time = time.perf_counter() - start
# Verify correctness: both queries should return identical results
assert len(normalized_results) == len(fallback_results)
# Verify result content matches
normalized_files = {entry.id for entry, _ in normalized_results}
fallback_files = {entry.id for entry, _ in fallback_results}
assert normalized_files == fallback_files, "Both queries must return same files"
# Document performance characteristics (no strict assertion)
# On datasets < 1000 files, normalized may be slower due to JOIN overhead
print(f"\nKeyword search performance (100 files):")
print(f" Normalized: {normalized_time*1000:.3f}ms")
print(f" Fallback: {fallback_time*1000:.3f}ms")
print(f" Ratio: {normalized_time/fallback_time:.2f}x")
print(f" Note: Performance benefits appear with 1000+ files")
def test_prefix_vs_substring_symbol_search(self, populated_index_db):
"""Compare prefix vs substring symbol search performance.
IMPORTANT: Prefix search optimization (LIKE 'prefix%') benefits from B-tree
indexes, but on small datasets (< 1000 symbols), the performance difference
may not be measurable or may even be slower due to query planner overhead.
Performance benefits appear when:
- Symbol count > 1000
- Index-based prefix search provides O(log N) advantage
- Full table scans with LIKE '%substring%' become bottleneck
"""
# Prefix search (optimized)
start = time.perf_counter()
prefix_results = populated_index_db.search_symbols("get", prefix_mode=True)
prefix_time = time.perf_counter() - start
# Substring search (fallback)
start = time.perf_counter()
substring_results = populated_index_db.search_symbols("get", prefix_mode=False)
substring_time = time.perf_counter() - start
# Verify correctness: prefix results should be subset of substring results
prefix_names = {s.name for s in prefix_results}
substring_names = {s.name for s in substring_results}
assert prefix_names.issubset(substring_names), "Prefix must be subset of substring"
# Verify all prefix results actually start with search term
for symbol in prefix_results:
assert symbol.name.startswith("get"), f"Symbol {symbol.name} should start with 'get'"
# Document performance characteristics (no strict assertion)
# On datasets < 1000 symbols, performance difference is negligible
print(f"\nSymbol search performance (150 symbols):")
print(f" Prefix: {prefix_time*1000:.3f}ms ({len(prefix_results)} results)")
print(f" Substring: {substring_time*1000:.3f}ms ({len(substring_results)} results)")
print(f" Ratio: {prefix_time/substring_time:.2f}x")
print(f" Note: Performance benefits appear with 1000+ symbols")

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"""
Manual validation script for performance optimizations.
This script verifies that the optimization implementations are working correctly.
Run with: python tests/validate_optimizations.py
"""
import json
import sqlite3
import tempfile
import time
from pathlib import Path
from codexlens.storage.dir_index import DirIndexStore
from codexlens.storage.registry import RegistryStore
from codexlens.storage.migration_manager import MigrationManager
from codexlens.storage.migrations import migration_001_normalize_keywords
def test_keyword_normalization():
"""Test normalized keywords functionality."""
print("\n=== Testing Keyword Normalization ===")
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test_index.db"
store = DirIndexStore(db_path)
store.initialize() # Create schema
# Add a test file
# Note: add_file automatically calculates mtime and line_count
file_id = store.add_file(
name="test.py",
full_path=Path("/test/test.py"),
content="def hello(): pass",
language="python"
)
# Add semantic metadata with keywords
keywords = ["auth", "security", "jwt"]
store.add_semantic_metadata(
file_id=file_id,
summary="Test summary",
keywords=keywords,
purpose="Testing",
llm_tool="gemini"
)
conn = store._get_connection()
# Verify keywords table populated
keyword_rows = conn.execute("""
SELECT k.keyword
FROM file_keywords fk
JOIN keywords k ON fk.keyword_id = k.id
WHERE fk.file_id = ?
""", (file_id,)).fetchall()
normalized_keywords = [row["keyword"] for row in keyword_rows]
print(f"✓ Keywords stored in normalized tables: {normalized_keywords}")
assert set(normalized_keywords) == set(keywords), "Keywords mismatch!"
# Test optimized search
results = store.search_semantic_keywords("auth", use_normalized=True)
print(f"✓ Found {len(results)} file(s) with keyword 'auth'")
assert len(results) > 0, "No results found!"
# Test fallback search
results_fallback = store.search_semantic_keywords("auth", use_normalized=False)
print(f"✓ Fallback search found {len(results_fallback)} file(s)")
assert len(results) == len(results_fallback), "Result count mismatch!"
store.close()
print("✓ Keyword normalization tests PASSED")
def test_path_lookup_optimization():
"""Test optimized path lookup."""
print("\n=== Testing Path Lookup Optimization ===")
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test_registry.db"
store = RegistryStore(db_path)
# Add directory mapping
store.add_dir_mapping(
source_path=Path("/a/b/c"),
index_path=Path("/tmp/index.db"),
project_id=None
)
# Test deep path lookup
deep_path = Path("/a/b/c/d/e/f/g/h/i/j/file.py")
start = time.perf_counter()
result = store.find_nearest_index(deep_path)
elapsed = time.perf_counter() - start
print(f"✓ Found nearest index in {elapsed*1000:.2f}ms")
assert result is not None, "No result found!"
assert result.source_path == Path("/a/b/c"), "Wrong path found!"
assert elapsed < 0.05, f"Too slow: {elapsed*1000:.2f}ms"
store.close()
print("✓ Path lookup optimization tests PASSED")
def test_symbol_search_prefix_mode():
"""Test symbol search with prefix mode."""
print("\n=== Testing Symbol Search Prefix Mode ===")
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test_index.db"
store = DirIndexStore(db_path)
store.initialize() # Create schema
# Add a test file
file_id = store.add_file(
name="test.py",
full_path=Path("/test/test.py"),
content="def hello(): pass\n" * 10, # 10 lines
language="python"
)
# Add symbols
store.add_symbols(
file_id=file_id,
symbols=[
("get_user", "function", 1, 5),
("get_item", "function", 6, 10),
("create_user", "function", 11, 15),
("UserClass", "class", 16, 25),
]
)
# Test prefix search
results = store.search_symbols("get", prefix_mode=True)
print(f"✓ Prefix search for 'get' found {len(results)} symbol(s)")
assert len(results) == 2, f"Expected 2 symbols, got {len(results)}"
for symbol in results:
assert symbol.name.startswith("get"), f"Symbol {symbol.name} doesn't start with 'get'"
print(f" Symbols: {[s.name for s in results]}")
# Test substring search
results_sub = store.search_symbols("user", prefix_mode=False)
print(f"✓ Substring search for 'user' found {len(results_sub)} symbol(s)")
assert len(results_sub) == 3, f"Expected 3 symbols, got {len(results_sub)}"
print(f" Symbols: {[s.name for s in results_sub]}")
store.close()
print("✓ Symbol search optimization tests PASSED")
def test_migration_001():
"""Test migration_001 execution."""
print("\n=== Testing Migration 001 ===")
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test_index.db"
store = DirIndexStore(db_path)
store.initialize() # Create schema
conn = store._get_connection()
# Add test data to semantic_metadata
conn.execute("""
INSERT INTO files(id, name, full_path, language, mtime, line_count)
VALUES(1, 'test.py', '/test.py', 'python', 0, 10)
""")
conn.execute("""
INSERT INTO semantic_metadata(file_id, keywords)
VALUES(1, ?)
""", (json.dumps(["test", "migration", "keyword"]),))
conn.commit()
# Run migration
print(" Running migration_001...")
migration_001_normalize_keywords.upgrade(conn)
print(" Migration completed successfully")
# Verify migration results
keyword_count = conn.execute("""
SELECT COUNT(*) as c FROM file_keywords WHERE file_id=1
""").fetchone()["c"]
print(f"✓ Migrated {keyword_count} keywords for file_id=1")
assert keyword_count == 3, f"Expected 3 keywords, got {keyword_count}"
# Verify keywords table
keywords = conn.execute("""
SELECT k.keyword FROM keywords k
JOIN file_keywords fk ON k.id = fk.keyword_id
WHERE fk.file_id = 1
""").fetchall()
keyword_list = [row["keyword"] for row in keywords]
print(f" Keywords: {keyword_list}")
store.close()
print("✓ Migration 001 tests PASSED")
def test_performance_comparison():
"""Compare performance of optimized vs fallback implementations."""
print("\n=== Performance Comparison ===")
with tempfile.TemporaryDirectory() as tmpdir:
db_path = Path(tmpdir) / "test_index.db"
store = DirIndexStore(db_path)
store.initialize() # Create schema
# Create test data
print(" Creating test data...")
for i in range(100):
file_id = store.add_file(
name=f"file_{i}.py",
full_path=Path(f"/test/file_{i}.py"),
content=f"def function_{i}(): pass",
language="python"
)
# Vary keywords
if i % 3 == 0:
keywords = ["auth", "security"]
elif i % 3 == 1:
keywords = ["database", "query"]
else:
keywords = ["api", "endpoint"]
store.add_semantic_metadata(
file_id=file_id,
summary=f"File {i}",
keywords=keywords,
purpose="Testing",
llm_tool="gemini"
)
# Benchmark normalized search
print(" Benchmarking normalized search...")
start = time.perf_counter()
for _ in range(10):
results_norm = store.search_semantic_keywords("auth", use_normalized=True)
norm_time = time.perf_counter() - start
# Benchmark fallback search
print(" Benchmarking fallback search...")
start = time.perf_counter()
for _ in range(10):
results_fallback = store.search_semantic_keywords("auth", use_normalized=False)
fallback_time = time.perf_counter() - start
print(f"\n Results:")
print(f" - Normalized search: {norm_time*1000:.2f}ms (10 iterations)")
print(f" - Fallback search: {fallback_time*1000:.2f}ms (10 iterations)")
print(f" - Speedup factor: {fallback_time/norm_time:.2f}x")
print(f" - Both found {len(results_norm)} files")
assert len(results_norm) == len(results_fallback), "Result count mismatch!"
store.close()
print("✓ Performance comparison PASSED")
def main():
"""Run all validation tests."""
print("=" * 60)
print("CodexLens Performance Optimizations Validation")
print("=" * 60)
try:
test_keyword_normalization()
test_path_lookup_optimization()
test_symbol_search_prefix_mode()
test_migration_001()
test_performance_comparison()
print("\n" + "=" * 60)
print("✓✓✓ ALL VALIDATION TESTS PASSED ✓✓✓")
print("=" * 60)
return 0
except Exception as e:
print(f"\nX VALIDATION FAILED: {e}")
import traceback
traceback.print_exc()
return 1
if __name__ == "__main__":
exit(main())