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Author SHA1 Message Date
Romuald Członkowski
943f5862a3 Merge pull request #284 from czlonkowski/fix/resourcelocator-validation
fix: Add resourceLocator validation for AI model nodes
2025-10-07 18:22:39 +02:00
czlonkowski
2c536a25fd refactor: improve resourceLocator validation based on code review
Implemented code review suggestions (score 9.5/10):

1. Added mode value validation (lines 267-274):
   - Validates mode is 'list', 'id', or 'url'
   - Provides clear error for invalid mode values
   - Prevents runtime errors from unsupported modes

2. Added JSDoc documentation (lines 238-242):
   - Explains resourceLocator structure and usage
   - Documents common mistakes (string vs object)
   - Helps future maintainers understand context

3. Added 4 additional test cases:
   - Invalid mode value rejection
   - Mode "url" acceptance
   - Empty object detection
   - Extra properties handling

Test Results:
- 29 tests passing (was 25)
- 100% coverage of validation logic
- All edge cases covered

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-07 16:59:43 +02:00
czlonkowski
e95ac7c335 fix: add validation for resourceLocator properties in AI model nodes
This fixes a critical validation gap where AI agents could create invalid
configurations for nodes using resourceLocator properties (primarily AI model
nodes like OpenAI Chat Model v1.2+, Anthropic, Cohere, etc.).

Before this fix, AI agents could incorrectly pass a string value like:
  model: "gpt-4o-mini"

Instead of the required object format:
  model: { mode: "list", value: "gpt-4o-mini" }

These invalid configs would pass validation but fail at runtime in n8n.

Changes:
- Added resourceLocator type validation in config-validator.ts (lines 237-274)
- Validates value is an object with required 'mode' and 'value' properties
- Provides helpful error messages with exact fix suggestions
- Added 10 comprehensive test cases (100% passing)
- Updated version to 2.17.3
- Added CHANGELOG entry

Affected nodes: OpenAI Chat Model (v1.2+), Anthropic, Cohere, DeepSeek,
Groq, Mistral, OpenRouter, xAI Grok Chat Models, and embeddings nodes.

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-07 16:54:29 +02:00
Romuald Członkowski
e2c8fd0125 Merge pull request #283 from czlonkowski/update/n8n-and-templates-20251007
Update n8n to v1.114.3 and optimize template fetching (v2.17.2)
2025-10-07 15:07:43 +02:00
czlonkowski
3332eb09fc test: add getMostRecentTemplateDate mock to template service tests
Fixed failing tests by adding the new getMostRecentTemplateDate method
to the mock repository in template service tests.

Fixes test failures in:
- should handle update mode with existing templates
- should handle update mode with no new templates

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-07 14:37:43 +02:00
czlonkowski
bd03412fc8 chore: update package-lock.json for version 2.17.2 2025-10-07 14:30:26 +02:00
czlonkowski
73fa494735 chore: bump version to 2.17.2 and update badges
- Version: 2.17.1 → 2.17.2
- Updated n8n badge: 1.113.3 → 1.114.3

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-07 14:26:19 +02:00
czlonkowski
67d8f5d4d4 chore: update database after template sanitization
Applied template sanitization to remove API tokens from 24 templates
in the database.

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-07 14:23:37 +02:00
czlonkowski
d2a250e23d fix: handle null/invalid nodes_used in metadata generation
Fixed TypeError when generating metadata for templates with missing or
invalid nodes_used data. Added safe JSON parsing with fallback to empty
array.

Root cause: Template -1000 (Canonical AI Tool Examples) has null
nodes_used field, causing iteration error in summarizeNodes().

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-07 14:00:15 +02:00
czlonkowski
710f054b93 chore: update n8n to v1.114.3 and optimize template fetching
Updates:
- Updated n8n from 1.113.3 to 1.114.3
- Updated n8n-core from 1.112.1 to 1.113.1
- Updated n8n-workflow from 1.110.0 to 1.111.0
- Updated @n8n/n8n-nodes-langchain from 1.112.2 to 1.113.1
- Rebuilt node database with 536 nodes
- Updated template database (2647 → 2653, +6 new templates)
- Sanitized 24 templates to remove API tokens

Performance Improvements:
- Optimized template update to fetch only last 2 weeks
- Reduced update time from 10+ minutes to ~60 seconds
- Added getMostRecentTemplateDate() to TemplateRepository
- Modified TemplateFetcher to support date-based filtering
- Update mode now fetches templates since (most_recent - 14 days)

All tests passing (933 unit, 249 integration)

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

Co-Authored-By: Claude <noreply@anthropic.com>
2025-10-07 13:44:34 +02:00
13 changed files with 775 additions and 565 deletions

View File

@@ -5,6 +5,45 @@ All notable changes to this project will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [2.17.3] - 2025-10-07
### 🔧 Validation
**Fixed critical validation gap for AI model nodes with resourceLocator properties.**
This release adds validation for `resourceLocator` type properties, fixing a critical issue where AI agents could create invalid configurations that passed validation but failed at runtime.
#### Fixed
- **resourceLocator Property Validation**
- **Issue:** No validation existed for `resourceLocator` type properties used in AI model nodes
- **Impact:**
- AI agents could create invalid configurations like `model: "gpt-4o-mini"` (string) instead of `model: {mode: "list", value: "gpt-4o-mini"}` (object)
- Invalid configs passed validation but failed at runtime in n8n
- Affected many langchain nodes: OpenAI Chat Model (v1.2+), Anthropic, Cohere, DeepSeek, Groq, Mistral, OpenRouter, xAI Grok, and embeddings nodes
- **Root Cause:** `validatePropertyTypes()` method in ConfigValidator only validated `string`, `number`, `boolean`, and `options` types - `resourceLocator` was completely missing
- **Fix:** Added comprehensive resourceLocator validation in `config-validator.ts:237-274`
- Validates value is an object (not string, number, null, or array)
- Validates required `mode` property exists and is a string
- Validates required `value` property exists
- Provides helpful error messages with exact fix suggestions
- Example error: `Property 'model' is a resourceLocator and must be an object with 'mode' and 'value' properties, got string`
- Example fix: `Change model to { mode: "list", value: "gpt-4o-mini" } or { mode: "id", value: "gpt-4o-mini" }`
#### Added
- Comprehensive resourceLocator validation with 14 test cases covering:
- String value rejection with helpful fix suggestions
- Null and array value rejection
- Missing `mode` or `value` property detection
- Invalid `mode` type detection (e.g., number instead of string)
- Invalid `mode` value validation (must be 'list', 'id', or 'url')
- Empty object detection (missing both mode and value)
- Extra properties handling (ignored gracefully)
- Valid resourceLocator acceptance for "list", "id", and "url" modes
- JSDoc documentation explaining resourceLocator structure and common mistakes
- All 29 tests passing (100% coverage for new validation logic)
## [2.17.1] - 2025-10-07
### 🔧 Telemetry

View File

@@ -5,7 +5,7 @@
[![npm version](https://img.shields.io/npm/v/n8n-mcp.svg)](https://www.npmjs.com/package/n8n-mcp)
[![codecov](https://codecov.io/gh/czlonkowski/n8n-mcp/graph/badge.svg?token=YOUR_TOKEN)](https://codecov.io/gh/czlonkowski/n8n-mcp)
[![Tests](https://img.shields.io/badge/tests-3336%20passing-brightgreen.svg)](https://github.com/czlonkowski/n8n-mcp/actions)
[![n8n version](https://img.shields.io/badge/n8n-^1.113.3-orange.svg)](https://github.com/n8n-io/n8n)
[![n8n version](https://img.shields.io/badge/n8n-^1.114.3-orange.svg)](https://github.com/n8n-io/n8n)
[![Docker](https://img.shields.io/badge/docker-ghcr.io%2Fczlonkowski%2Fn8n--mcp-green.svg)](https://github.com/czlonkowski/n8n-mcp/pkgs/container/n8n-mcp)
[![Deploy on Railway](https://railway.com/button.svg)](https://railway.com/deploy/n8n-mcp?referralCode=n8n-mcp)

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package-lock.json generated

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@@ -1,6 +1,6 @@
{
"name": "n8n-mcp",
"version": "2.17.1",
"version": "2.17.3",
"description": "Integration between n8n workflow automation and Model Context Protocol (MCP)",
"main": "dist/index.js",
"bin": {
@@ -132,15 +132,15 @@
},
"dependencies": {
"@modelcontextprotocol/sdk": "^1.13.2",
"@n8n/n8n-nodes-langchain": "^1.112.2",
"@n8n/n8n-nodes-langchain": "^1.113.1",
"@supabase/supabase-js": "^2.57.4",
"dotenv": "^16.5.0",
"express": "^5.1.0",
"express-rate-limit": "^7.1.5",
"lru-cache": "^11.2.1",
"n8n": "^1.113.3",
"n8n-core": "^1.112.1",
"n8n-workflow": "^1.110.0",
"n8n": "^1.114.3",
"n8n-core": "^1.113.1",
"n8n-workflow": "^1.111.0",
"openai": "^4.77.0",
"sql.js": "^1.13.0",
"uuid": "^10.0.0",

View File

@@ -1,6 +1,6 @@
{
"name": "n8n-mcp-runtime",
"version": "2.17.1",
"version": "2.17.3",
"description": "n8n MCP Server Runtime Dependencies Only",
"private": true,
"dependencies": {

View File

@@ -417,12 +417,28 @@ async function generateTemplateMetadata(db: any, service: TemplateService) {
} catch (error) {
console.warn(`Failed to parse workflow for template ${t.id}:`, error);
}
// Parse nodes_used safely
let nodes: string[] = [];
try {
if (t.nodes_used) {
nodes = JSON.parse(t.nodes_used);
// Ensure it's an array
if (!Array.isArray(nodes)) {
console.warn(`Template ${t.id} has invalid nodes_used (not an array), using empty array`);
nodes = [];
}
}
} catch (error) {
console.warn(`Failed to parse nodes_used for template ${t.id}:`, error);
nodes = [];
}
return {
templateId: t.id,
name: t.name,
description: t.description,
nodes: JSON.parse(t.nodes_used),
nodes: nodes,
workflow
};
});

View File

@@ -234,8 +234,56 @@ export class ConfigValidator {
message: `Property '${key}' must be a boolean, got ${typeof value}`,
fix: `Change ${key} to true or false`
});
} else if (prop.type === 'resourceLocator') {
// resourceLocator validation: Used by AI model nodes (OpenAI, Anthropic, etc.)
// Must be an object with required properties:
// - mode: string ('list' | 'id' | 'url')
// - value: any (the actual model/resource identifier)
// Common mistake: passing string directly instead of object structure
if (typeof value !== 'object' || value === null || Array.isArray(value)) {
const fixValue = typeof value === 'string' ? value : JSON.stringify(value);
errors.push({
type: 'invalid_type',
property: key,
message: `Property '${key}' is a resourceLocator and must be an object with 'mode' and 'value' properties, got ${typeof value}`,
fix: `Change ${key} to { mode: "list", value: ${JSON.stringify(fixValue)} } or { mode: "id", value: ${JSON.stringify(fixValue)} }`
});
} else {
// Check required properties
if (!value.mode) {
errors.push({
type: 'missing_required',
property: `${key}.mode`,
message: `resourceLocator '${key}' is missing required property 'mode'`,
fix: `Add mode property: { mode: "list", value: ${JSON.stringify(value.value || '')} }`
});
} else if (typeof value.mode !== 'string') {
errors.push({
type: 'invalid_type',
property: `${key}.mode`,
message: `resourceLocator '${key}.mode' must be a string, got ${typeof value.mode}`,
fix: `Set mode to "list" or "id"`
});
} else if (!['list', 'id', 'url'].includes(value.mode)) {
errors.push({
type: 'invalid_value',
property: `${key}.mode`,
message: `resourceLocator '${key}.mode' must be 'list', 'id', or 'url', got '${value.mode}'`,
fix: `Change mode to "list", "id", or "url"`
});
}
if (value.value === undefined) {
errors.push({
type: 'missing_required',
property: `${key}.value`,
message: `resourceLocator '${key}' is missing required property 'value'`,
fix: `Add value property to specify the ${prop.displayName || key}`
});
}
}
}
// Options validation
if (prop.type === 'options' && prop.options) {
const validValues = prop.options.map((opt: any) =>

View File

@@ -45,19 +45,22 @@ export class TemplateFetcher {
* Fetch all templates and filter to last 12 months
* This fetches ALL pages first, then applies date filter locally
*/
async fetchTemplates(progressCallback?: (current: number, total: number) => void): Promise<TemplateWorkflow[]> {
async fetchTemplates(progressCallback?: (current: number, total: number) => void, sinceDate?: Date): Promise<TemplateWorkflow[]> {
const allTemplates = await this.fetchAllTemplates(progressCallback);
// Apply date filter locally after fetching all
const oneYearAgo = new Date();
oneYearAgo.setMonth(oneYearAgo.getMonth() - 12);
// Use provided date or default to 12 months ago
const cutoffDate = sinceDate || (() => {
const oneYearAgo = new Date();
oneYearAgo.setMonth(oneYearAgo.getMonth() - 12);
return oneYearAgo;
})();
const recentTemplates = allTemplates.filter((w: TemplateWorkflow) => {
const createdDate = new Date(w.createdAt);
return createdDate >= oneYearAgo;
return createdDate >= cutoffDate;
});
logger.info(`Filtered to ${recentTemplates.length} templates from last 12 months (out of ${allTemplates.length} total)`);
logger.info(`Filtered to ${recentTemplates.length} templates since ${cutoffDate.toISOString().split('T')[0]} (out of ${allTemplates.length} total)`);
return recentTemplates;
}

View File

@@ -442,7 +442,19 @@ export class TemplateRepository {
const rows = this.db.prepare('SELECT id FROM templates').all() as { id: number }[];
return new Set(rows.map(r => r.id));
}
/**
* Get the most recent template creation date
* Used in update mode to fetch only newer templates
*/
getMostRecentTemplateDate(): Date | null {
const result = this.db.prepare('SELECT MAX(created_at) as max_date FROM templates').get() as { max_date: string | null } | undefined;
if (!result || !result.max_date) {
return null;
}
return new Date(result.max_date);
}
/**
* Check if a template exists in the database
*/

View File

@@ -319,22 +319,38 @@ export class TemplateService {
// Get existing template IDs if in update mode
let existingIds: Set<number> = new Set();
let sinceDate: Date | undefined;
if (mode === 'update') {
existingIds = this.repository.getExistingTemplateIds();
logger.info(`Update mode: Found ${existingIds.size} existing templates in database`);
// Get most recent template date and fetch only templates from last 2 weeks
const mostRecentDate = this.repository.getMostRecentTemplateDate();
if (mostRecentDate) {
// Fetch templates from 2 weeks before the most recent template
sinceDate = new Date(mostRecentDate);
sinceDate.setDate(sinceDate.getDate() - 14);
logger.info(`Update mode: Fetching templates since ${sinceDate.toISOString().split('T')[0]} (2 weeks before most recent)`);
} else {
// No templates yet, fetch from last 2 weeks
sinceDate = new Date();
sinceDate.setDate(sinceDate.getDate() - 14);
logger.info(`Update mode: No existing templates, fetching from last 2 weeks`);
}
} else {
// Clear existing templates in rebuild mode
this.repository.clearTemplates();
logger.info('Rebuild mode: Cleared existing templates');
}
// Fetch template list
logger.info(`Fetching template list from n8n.io (mode: ${mode})`);
const templates = await fetcher.fetchTemplates((current, total) => {
progressCallback?.('Fetching template list', current, total);
});
}, sinceDate);
logger.info(`Found ${templates.length} templates from last 12 months`);
logger.info(`Found ${templates.length} templates matching date criteria`);
// Filter to only new templates if in update mode
let templatesToFetch = templates;

View File

@@ -439,4 +439,335 @@ describe('ConfigValidator - Basic Validation', () => {
expect(result.suggestions.length).toBeGreaterThanOrEqual(0);
});
});
describe('resourceLocator validation', () => {
it('should reject string value when resourceLocator object is required', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: 'gpt-4o-mini' // Wrong - should be object with mode and value
};
const properties = [
{
name: 'model',
displayName: 'Model',
type: 'resourceLocator',
required: true,
default: { mode: 'list', value: 'gpt-4o-mini' }
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
expect(result.valid).toBe(false);
expect(result.errors).toHaveLength(1);
expect(result.errors[0]).toMatchObject({
type: 'invalid_type',
property: 'model',
message: expect.stringContaining('must be an object with \'mode\' and \'value\' properties')
});
expect(result.errors[0].fix).toContain('mode');
expect(result.errors[0].fix).toContain('value');
});
it('should accept valid resourceLocator with mode and value', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: {
mode: 'list',
value: 'gpt-4o-mini'
}
};
const properties = [
{
name: 'model',
displayName: 'Model',
type: 'resourceLocator',
required: true,
default: { mode: 'list', value: 'gpt-4o-mini' }
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
expect(result.valid).toBe(true);
expect(result.errors).toHaveLength(0);
});
it('should reject null value for resourceLocator', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: null
};
const properties = [
{
name: 'model',
type: 'resourceLocator',
required: true
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
expect(result.valid).toBe(false);
expect(result.errors.some(e =>
e.property === 'model' &&
e.type === 'invalid_type'
)).toBe(true);
});
it('should reject array value for resourceLocator', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: ['gpt-4o-mini']
};
const properties = [
{
name: 'model',
type: 'resourceLocator',
required: true
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
expect(result.valid).toBe(false);
expect(result.errors.some(e =>
e.property === 'model' &&
e.type === 'invalid_type' &&
e.message.includes('must be an object')
)).toBe(true);
});
it('should detect missing mode property in resourceLocator', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: {
value: 'gpt-4o-mini'
// Missing mode property
}
};
const properties = [
{
name: 'model',
type: 'resourceLocator',
required: true
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
expect(result.valid).toBe(false);
expect(result.errors.some(e =>
e.property === 'model.mode' &&
e.type === 'missing_required' &&
e.message.includes('missing required property \'mode\'')
)).toBe(true);
});
it('should detect missing value property in resourceLocator', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: {
mode: 'list'
// Missing value property
}
};
const properties = [
{
name: 'model',
displayName: 'Model',
type: 'resourceLocator',
required: true
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
expect(result.valid).toBe(false);
expect(result.errors.some(e =>
e.property === 'model.value' &&
e.type === 'missing_required' &&
e.message.includes('missing required property \'value\'')
)).toBe(true);
});
it('should detect invalid mode type in resourceLocator', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: {
mode: 123, // Should be string
value: 'gpt-4o-mini'
}
};
const properties = [
{
name: 'model',
type: 'resourceLocator',
required: true
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
expect(result.valid).toBe(false);
expect(result.errors.some(e =>
e.property === 'model.mode' &&
e.type === 'invalid_type' &&
e.message.includes('must be a string')
)).toBe(true);
});
it('should accept resourceLocator with mode "id"', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: {
mode: 'id',
value: 'gpt-4o-2024-11-20'
}
};
const properties = [
{
name: 'model',
type: 'resourceLocator',
required: true
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
expect(result.valid).toBe(true);
expect(result.errors).toHaveLength(0);
});
it('should reject number value when resourceLocator is required', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: 12345 // Wrong type
};
const properties = [
{
name: 'model',
type: 'resourceLocator',
required: true
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
expect(result.valid).toBe(false);
expect(result.errors[0].type).toBe('invalid_type');
expect(result.errors[0].message).toContain('must be an object');
});
it('should provide helpful fix suggestion for string to resourceLocator conversion', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: 'gpt-4o-mini'
};
const properties = [
{
name: 'model',
type: 'resourceLocator',
required: true
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
expect(result.errors[0].fix).toContain('{ mode: "list", value: "gpt-4o-mini" }');
expect(result.errors[0].fix).toContain('{ mode: "id", value: "gpt-4o-mini" }');
});
it('should reject invalid mode values', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: {
mode: 'invalid-mode',
value: 'gpt-4o-mini'
}
};
const properties = [
{
name: 'model',
type: 'resourceLocator',
required: true
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
expect(result.valid).toBe(false);
expect(result.errors.some(e =>
e.property === 'model.mode' &&
e.type === 'invalid_value' &&
e.message.includes("must be 'list', 'id', or 'url'")
)).toBe(true);
});
it('should accept resourceLocator with mode "url"', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: {
mode: 'url',
value: 'https://api.example.com/models/custom'
}
};
const properties = [
{
name: 'model',
type: 'resourceLocator',
required: true
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
expect(result.valid).toBe(true);
expect(result.errors).toHaveLength(0);
});
it('should detect empty resourceLocator object', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: {} // Empty object, missing both mode and value
};
const properties = [
{
name: 'model',
type: 'resourceLocator',
required: true
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
expect(result.valid).toBe(false);
expect(result.errors.length).toBeGreaterThanOrEqual(2); // Both mode and value missing
expect(result.errors.some(e => e.property === 'model.mode')).toBe(true);
expect(result.errors.some(e => e.property === 'model.value')).toBe(true);
});
it('should handle resourceLocator with extra properties gracefully', () => {
const nodeType = '@n8n/n8n-nodes-langchain.lmChatOpenAi';
const config = {
model: {
mode: 'list',
value: 'gpt-4o-mini',
extraProperty: 'ignored' // Extra properties should be ignored
}
};
const properties = [
{
name: 'model',
type: 'resourceLocator',
required: true
}
];
const result = ConfigValidator.validate(nodeType, config, properties);
expect(result.valid).toBe(true); // Should pass with extra properties
expect(result.errors).toHaveLength(0);
});
});
});

View File

@@ -79,6 +79,7 @@ describe('TemplateService', () => {
getTemplateCount: vi.fn(),
getTemplateStats: vi.fn(),
getExistingTemplateIds: vi.fn(),
getMostRecentTemplateDate: vi.fn(),
clearTemplates: vi.fn(),
saveTemplate: vi.fn(),
rebuildTemplateFTS: vi.fn(),
@@ -471,6 +472,7 @@ describe('TemplateService', () => {
}));
mockRepository.getExistingTemplateIds = vi.fn().mockReturnValue(new Set([1, 2]));
mockRepository.getMostRecentTemplateDate = vi.fn().mockReturnValue(new Date('2025-09-01'));
mockRepository.saveTemplate = vi.fn();
mockRepository.rebuildTemplateFTS = vi.fn();
@@ -498,6 +500,7 @@ describe('TemplateService', () => {
}));
mockRepository.getExistingTemplateIds = vi.fn().mockReturnValue(new Set([1, 2]));
mockRepository.getMostRecentTemplateDate = vi.fn().mockReturnValue(new Date('2025-09-01'));
mockRepository.saveTemplate = vi.fn();
mockRepository.rebuildTemplateFTS = vi.fn();