fix: add edge case handling and test coverage for schema-based validation

- Add defensive null checks for malformed schema data in config-validator.ts
- Improve mode extraction logic with better type safety and filtering
- Add 4 comprehensive test cases:
  * Array format modes handling
  * Malformed schema graceful degradation
  * Empty modes object handling
  * Missing typeOptions skip validation
- Add database schema coverage audit script
- Document schema coverage: 21.4% of resourceLocator nodes have modes defined

Coverage impact:
- 15 nodes with complete schemas: strict validation
- 55 nodes without schemas: graceful degradation (no false positives)

All tests passing: 99 tests (33 resourceLocator, 21 edge cases, 26 node-specific, 19 security)

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

Co-Authored-By: Claude <noreply@anthropic.com>
This commit is contained in:
czlonkowski
2025-10-11 18:16:56 +02:00
parent 43dea68f0b
commit 4625ebf64d
3 changed files with 206 additions and 8 deletions

View File

@@ -713,6 +713,117 @@ describe('ConfigValidator - Basic Validation', () => {
)).toBe(true);
});
it('should handle modes defined as array format', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: {
mode: 'custom',
value: 'gpt-4o-mini'
}
};
const properties = [
{
name: 'model',
type: 'resourceLocator',
required: true,
typeOptions: {
resourceLocator: {
modes: [
{ name: 'list', displayName: 'List' },
{ name: 'id', displayName: 'ID' },
{ name: 'custom', displayName: 'Custom' }
]
}
}
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
expect(result.valid).toBe(true);
expect(result.errors).toHaveLength(0);
});
it('should handle malformed modes schema gracefully', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: {
mode: 'any-mode',
value: 'gpt-4o-mini'
}
};
const properties = [
{
name: 'model',
type: 'resourceLocator',
required: true,
typeOptions: {
resourceLocator: {
modes: 'invalid-string' // Malformed schema
}
}
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
// Should NOT crash, should skip validation
expect(result.valid).toBe(true);
expect(result.errors.some(e => e.property === 'model.mode')).toBe(false);
});
it('should handle empty modes definition gracefully', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: {
mode: 'any-mode',
value: 'gpt-4o-mini'
}
};
const properties = [
{
name: 'model',
type: 'resourceLocator',
required: true,
typeOptions: {
resourceLocator: {
modes: {} // Empty object
}
}
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
// Should skip validation with empty modes
expect(result.valid).toBe(true);
expect(result.errors.some(e => e.property === 'model.mode')).toBe(false);
});
it('should skip mode validation when typeOptions not provided', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: {
mode: 'custom-mode',
value: 'gpt-4o-mini'
}
};
const properties = [
{
name: 'model',
type: 'resourceLocator',
required: true
// No typeOptions - schema doesn't define modes
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
// Should accept any mode when schema doesn't define them
expect(result.valid).toBe(true);
expect(result.errors).toHaveLength(0);
});
it('should accept resourceLocator with mode "url"', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {