Files
n8n-mcp/tests/unit/database
czlonkowski f508d9873b fix: resolve SplitInBatches output confusion for AI assistants (#97)
## Problem
AI assistants were consistently connecting SplitInBatches node outputs backwards because:
- Output index 0 = "done" (runs after loop completes)
- Output index 1 = "loop" (processes items inside loop)
This counterintuitive ordering caused incorrect workflow connections.

## Solution
Enhanced the n8n-mcp system to expose and clarify output information:

### Database & Schema
- Added `outputs` and `output_names` columns to nodes table
- Updated NodeRepository to store/retrieve output information

### Node Parsing
- Enhanced NodeParser to extract outputs and outputNames from nodes
- Properly handles versioned nodes like SplitInBatchesV3

### MCP Server
- Modified getNodeInfo to return detailed output descriptions
- Added connection guidance for each output
- Special handling for loop nodes (SplitInBatches, IF, Switch)

### Documentation
- Enhanced DocsMapper to inject critical output guidance
- Added warnings about counterintuitive output ordering
- Provides correct connection patterns for loop nodes

### Workflow Validation
- Added validateSplitInBatchesConnection method
- Detects reversed connections and provides specific errors
- Added checkForLoopBack with depth limit to prevent stack overflow
- Smart heuristics to identify likely connection mistakes

## Testing
- Created comprehensive test suite (81 tests)
- Unit tests for all modified components
- Edge case handling for malformed data
- Performance testing with large workflows

## Impact
AI assistants will now:
- See explicit output indices and names (e.g., "Output 0: done")
- Receive clear connection guidance
- Get validation errors when connections are reversed
- Have enhanced documentation explaining the correct pattern

Fixes #97

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-08-07 15:58:40 +02:00
..

Database Layer Unit Tests

This directory contains comprehensive unit tests for the database layer components of n8n-mcp.

Test Coverage

node-repository.ts - 100% Coverage

  • saveNode method with JSON serialization
  • getNode method with JSON deserialization
  • getAITools method
  • safeJsonParse private method
  • Edge cases: large JSON, boolean conversion, invalid JSON handling

template-repository.ts - 80.31% Coverage

  • FTS5 initialization and fallback
  • saveTemplate with sanitization
  • getTemplate and getTemplatesByNodes
  • searchTemplates with FTS5 and LIKE fallback
  • getTemplatesForTask with task mapping
  • Template statistics and maintenance operations
  • Uncovered: Some error paths in FTS5 operations

database-adapter.ts - Tested via Mocks

  • Interface compliance tests
  • PreparedStatement implementation
  • Transaction support
  • FTS5 detection logic
  • Error handling patterns

Test Strategy

The tests use a mock-based approach to:

  1. Isolate database operations from actual database dependencies
  2. Test business logic without requiring real SQLite/sql.js
  3. Ensure consistent test execution across environments
  4. Focus on behavior rather than implementation details

Key Test Files

  • node-repository-core.test.ts - Core NodeRepository functionality
  • template-repository-core.test.ts - Core TemplateRepository functionality
  • database-adapter-unit.test.ts - DatabaseAdapter interface and patterns

Running Tests

# Run all database tests
npm test -- tests/unit/database/

# Run with coverage
npm run test:coverage -- tests/unit/database/

# Run specific test file
npm test -- tests/unit/database/node-repository-core.test.ts

Mock Infrastructure

The tests use custom mock implementations:

  • MockDatabaseAdapter - Simulates database operations
  • MockPreparedStatement - Simulates SQL statement execution
  • Mock logger and template sanitizer for external dependencies

This approach ensures tests are fast, reliable, and maintainable.