Files
tfm_ainventory/frontend/e2e/fixtures/test-data.ts

155 lines
3.8 KiB
TypeScript

// Test user definitions for LDAP and local authentication
export const LDAP_USERS = {
valid: {
username: 'testuser1',
password: 'Password123!',
email: 'testuser1@ainventory.local',
},
invalid: {
username: 'invalid_user',
password: 'wrong_password',
},
};
export const LOCAL_USERS = {
admin: {
username: 'admin',
password: 'AdminPassword123!',
email: 'admin@ainventory.local',
},
regular: {
username: 'testuser2',
password: 'UserPassword123!',
email: 'testuser2@ainventory.local',
},
};
// Test inventory items for scanning and AI extraction workflows
export const TEST_ITEMS = [
{
name: 'Widget A',
barcode: '123456789',
part_number: 'WA-001',
category: 'Electronics',
quantity: 50,
},
{
name: 'Widget B',
barcode: '987654321',
part_number: 'WB-001',
category: 'Electronics',
quantity: 25,
},
{
name: 'Capacitor Pack',
barcode: '555666777',
part_number: 'CAP-100',
category: 'Components',
quantity: 100,
},
{
name: 'Resistor Assortment',
barcode: '111222333',
part_number: 'RES-500',
category: 'Components',
quantity: 500,
},
];
// Test categories for inventory organization
export const TEST_CATEGORIES = [
{ name: 'Electronics', description: 'Electronic components and devices' },
{ name: 'Components', description: 'Discrete electronic components' },
{ name: 'Tools', description: 'Maintenance and assembly tools' },
{ name: 'Cables', description: 'Network and power cables' },
];
// Box labels for multi-item scanning workflow
export const TEST_BOX_LABELS = [
{ label: 'BOX-BATCH-001', items: ['123456789', '987654321'] },
{ label: 'BOX-BATCH-002', items: ['555666777', '111222333'] },
];
// AI extraction test images (base64 encoded sample data for testing)
export const AI_EXTRACTION_TEST_DATA = {
valid_label: {
filename: 'valid_label.jpg',
// Placeholder for base64 encoded test image
base64: 'data:image/jpeg;base64,',
expected_extraction: {
name: 'Test Component',
part_number: 'TEST-001',
quantity: '10',
},
},
invalid_label: {
filename: 'invalid_label.jpg',
base64: 'data:image/jpeg;base64,',
expected_extraction: {
error: 'Unable to extract data from image',
},
},
};
// Offline sync test scenarios
export const OFFLINE_SYNC_SCENARIOS = {
single_item_checkin: {
operations: [
{ type: 'checkin', item_id: 1, quantity: 5 },
],
},
multi_item_checkout: {
operations: [
{ type: 'checkout', item_id: 1, quantity: 3 },
{ type: 'checkout', item_id: 2, quantity: 2 },
],
},
mixed_operations: {
operations: [
{ type: 'checkin', item_id: 1, quantity: 5 },
{ type: 'checkout', item_id: 2, quantity: 2 },
{ type: 'checkin', item_id: 3, quantity: 10 },
],
},
};
// Port configuration for Docker containers (per workflow instance)
export const PORT_CONFIG = {
base: {
backend: 8906,
frontend: 3000,
ldap: 389,
},
offsets: {
workflow_1_login: { backend: 9001, frontend: 9100, ldap: 9389 },
workflow_2_scan: { backend: 9002, frontend: 9101, ldap: 9390 },
workflow_3_ai: { backend: 9003, frontend: 9102, ldap: 9391 },
workflow_4_admin: { backend: 9004, frontend: 9103, ldap: 9392 },
workflow_5_offline: { backend: 9005, frontend: 9104, ldap: 9393 },
},
};
// Environment variable defaults for each workflow
export const WORKFLOW_ENV_DEFAULTS = {
login: {
LDAP_ENABLED: 'true',
AI_PROVIDER: 'gemini',
},
scan: {
LDAP_ENABLED: 'false',
AI_PROVIDER: 'gemini',
},
ai_extraction: {
LDAP_ENABLED: 'false',
AI_PROVIDER: 'gemini',
},
admin_settings: {
LDAP_ENABLED: 'true',
AI_PROVIDER: 'gemini',
},
offline_sync: {
LDAP_ENABLED: 'false',
AI_PROVIDER: 'claude',
},
};