Files
neo/backend/scripts/seed-demo-process.ts
2026-01-17 22:51:53 +01:00

333 lines
9.3 KiB
TypeScript

import { randomUUID } from 'crypto';
import { AiProcess, AiProcessVersion, AiToolConfig } from '../src/models/ai-process.model';
// Bootstrap NestJS to get proper services
async function getTenantContext(tenantSlugOrId: string) {
const { NestFactory } = await import('@nestjs/core');
const { AppModule } = await import('../src/app.module');
const { TenantDatabaseService } = await import('../src/tenant/tenant-database.service');
// Create app context (without listening)
const app = await NestFactory.createApplicationContext(AppModule, {
logger: false,
});
const tenantDbService = app.get(TenantDatabaseService);
// Resolve tenant ID
const tenantId = await tenantDbService.resolveTenantId(tenantSlugOrId);
// Get proper Knex connection
const knex = await tenantDbService.getTenantKnexById(tenantId);
return { tenantId, knex, app };
}
/**
* Seed script for demo AI Process: Register New Pet
*
* This process demonstrates:
* - Conditional logic (find or create account/contact)
* - Tool usage (findAccount, createAccount, findContact, createContact, createPet)
* - Sequential execution
* - LLM decision nodes with structured JSON output
*
* Usage:
* npm run seed:demo-process -- <tenant-slug-or-id>
*/
const demoProcessGraph = {
id: 'register_new_pet',
name: 'Register New Pet',
description: 'Complete pet registration workflow with account and contact resolution',
allowCycles: false,
nodes: [
{
id: 'start',
type: 'Start',
position: { x: 250, y: 50 },
data: { label: 'Start' },
},
{
id: 'extract_info',
type: 'LLMDecisionNode',
position: { x: 250, y: 150 },
data: {
label: 'Extract Pet Info',
promptTemplate: `Extract pet registration information from the user message.
User message: {{state.message}}
Extract:
- Pet name (required)
- Pet species (required, e.g., "dog", "cat", "bird")
- Pet breed (optional)
- Pet age (optional, as number)
- Owner first name (required)
- Owner last name (required)
- Owner email (optional)
- Owner phone (optional)
- Account/Company name (optional, defaults to owner's full name)
Return JSON with these exact fields.`,
inputKeys: ['message'],
outputSchema: {
type: 'object',
properties: {
petName: { type: 'string' },
species: { type: 'string' },
breed: { type: 'string' },
age: { type: 'number' },
ownerFirstName: { type: 'string' },
ownerLastName: { type: 'string' },
ownerEmail: { type: 'string' },
ownerPhone: { type: 'string' },
accountName: { type: 'string' },
},
required: ['petName', 'species', 'ownerFirstName', 'ownerLastName'],
},
model: { name: 'gpt-4o', temperature: 0 },
},
},
{
id: 'find_account',
type: 'ToolNode',
position: { x: 250, y: 280 },
data: {
label: 'Find Account',
toolName: 'findAccount',
argsTemplate: {
name: '{{state.accountName}}',
email: '{{state.ownerEmail}}',
},
outputMapping: {
found: 'accountFound',
accountId: 'accountId',
},
},
},
{
id: 'create_account',
type: 'ToolNode',
position: { x: 450, y: 380 },
data: {
label: 'Create Account',
toolName: 'createAccount',
argsTemplate: {
name: '{{state.accountName}}',
email: '{{state.ownerEmail}}',
phone: '{{state.ownerPhone}}',
},
outputMapping: {
accountId: 'accountId',
},
},
},
{
id: 'find_contact',
type: 'ToolNode',
position: { x: 250, y: 480 },
data: {
label: 'Find Contact',
toolName: 'findContact',
argsTemplate: {
firstName: '{{state.ownerFirstName}}',
lastName: '{{state.ownerLastName}}',
email: '{{state.ownerEmail}}',
accountId: '{{state.accountId}}',
},
outputMapping: {
found: 'contactFound',
contactId: 'contactId',
},
},
},
{
id: 'create_contact',
type: 'ToolNode',
position: { x: 450, y: 580 },
data: {
label: 'Create Contact',
toolName: 'createContact',
argsTemplate: {
firstName: '{{state.ownerFirstName}}',
lastName: '{{state.ownerLastName}}',
email: '{{state.ownerEmail}}',
phone: '{{state.ownerPhone}}',
accountId: '{{state.accountId}}',
},
outputMapping: {
contactId: 'contactId',
},
},
},
{
id: 'create_pet',
type: 'ToolNode',
position: { x: 250, y: 680 },
data: {
label: 'Create Pet Record',
toolName: 'createPet',
argsTemplate: {
name: '{{state.petName}}',
species: '{{state.species}}',
breed: '{{state.breed}}',
age: '{{state.age}}',
ownerId: '{{state.contactId}}',
},
outputMapping: {
petId: 'petId',
},
},
},
{
id: 'end',
type: 'End',
position: { x: 250, y: 780 },
data: { label: 'End' },
},
],
edges: [
{ id: 'e1', source: 'start', target: 'extract_info' },
{ id: 'e2', source: 'extract_info', target: 'find_account' },
{
id: 'e3',
source: 'find_account',
target: 'find_contact',
condition: { '==': [{ var: 'accountFound' }, true] },
},
{
id: 'e4',
source: 'find_account',
target: 'create_account',
condition: { '==': [{ var: 'accountFound' }, false] },
},
{ id: 'e5', source: 'create_account', target: 'find_contact' },
{
id: 'e6',
source: 'find_contact',
target: 'create_pet',
condition: { '==': [{ var: 'contactFound' }, true] },
},
{
id: 'e7',
source: 'find_contact',
target: 'create_contact',
condition: { '==': [{ var: 'contactFound' }, false] },
},
{ id: 'e8', source: 'create_contact', target: 'create_pet' },
{ id: 'e9', source: 'create_pet', target: 'end' },
],
};
const demoTools = [
'findAccount',
'createAccount',
'findContact',
'createContact',
'createPet',
];
async function seedDemoProcess(tenantSlugOrId: string) {
let app;
try {
console.log(`\n🌱 Seeding demo AI process for tenant: ${tenantSlugOrId}\n`);
const context = await getTenantContext(tenantSlugOrId);
const { tenantId, knex, app: nestApp } = context;
app = nestApp;
console.log(`✓ Resolved tenant ID: ${tenantId}`);
console.log(`✓ Connected to tenant database`);
// Check if process already exists
const existing = await AiProcess.query(knex)
.where('name', demoProcessGraph.name)
.first();
if (existing) {
console.log(`⚠ Process "${demoProcessGraph.name}" already exists (ID: ${existing.id})`);
console.log(` To create a new version, update via the UI.`);
return;
}
// Create process in transaction
await knex.transaction(async (trx) => {
const processId = randomUUID();
const userId = 'system'; // System user for seed data
// Create process
await AiProcess.query(trx).insert({
id: processId,
name: demoProcessGraph.name,
description: demoProcessGraph.description,
latestVersion: 1,
createdBy: userId,
});
console.log(`✓ Created process: ${demoProcessGraph.name} (${processId})`);
// Create initial version
// Note: In production, this would call the compiler service
// For seed, we're storing a simplified version
await AiProcessVersion.query(trx).insert({
id: randomUUID(),
processId,
version: 1,
graphJson: demoProcessGraph,
compiledJson: {
graphId: demoProcessGraph.id,
version: 1,
nodes: demoProcessGraph.nodes,
edges: demoProcessGraph.edges,
startNodeId: 'start',
endNodeIds: ['end'],
adjacency: {},
},
createdBy: userId,
});
console.log(`✓ Created process version 1`);
// Enable demo tools for tenant
for (const toolName of demoTools) {
const existingTool = await AiToolConfig.query(trx)
.where('tool_name', toolName)
.first();
if (!existingTool) {
await AiToolConfig.query(trx).insert({
id: randomUUID(),
toolName,
enabled: true,
});
console.log(`✓ Enabled tool: ${toolName}`);
}
}
});
console.log(`\n✅ Demo process seeded successfully!\n`);
console.log(`Next steps:`);
console.log(` 1. Navigate to /ai-processes in your frontend`);
console.log(` 2. Open the "${demoProcessGraph.name}" process`);
console.log(` 3. Test it by sending a message like:`);
console.log(` "Register a dog named Max, owned by John Smith (john@email.com)"`);
console.log();
if (app) await app.close();
process.exit(0);
} catch (error) {
console.error('❌ Seed failed:', error);
if (app) await app.close();
process.exit(1);
}
}
// Get tenant from command line args
const tenantSlugOrId = process.argv[2];
if (!tenantSlugOrId) {
console.error('Usage: npm run seed:demo-process -- <tenant-slug-or-id>');
process.exit(1);
}
seedDemoProcess(tenantSlugOrId);