253 lines
12 KiB
TypeScript
253 lines
12 KiB
TypeScript
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import { createDirectus, rest, staticToken, authentication, createCollection, createField, createItem, readCollections, readItems } from '@directus/sdk';
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import * as dotenv from 'dotenv';
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import * as fs from 'fs';
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import * as path from 'path';
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// Load .env from root or local credentials
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const rootEnvPath = path.resolve(__dirname, '../../.env');
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const localEnvPath = path.resolve(__dirname, '../credentials.env');
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if (fs.existsSync(localEnvPath)) {
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console.log('Loading credentials from backend/credentials.env');
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dotenv.config({ path: localEnvPath });
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} else {
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dotenv.config({ path: rootEnvPath });
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}
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const DIRECTUS_URL = process.env.DIRECTUS_PUBLIC_URL || 'http://localhost:8055';
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const TOKEN = process.env.DIRECTUS_ADMIN_TOKEN;
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const EMAIL = process.env.DIRECTUS_ADMIN_EMAIL;
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const PASSWORD = process.env.DIRECTUS_ADMIN_PASSWORD;
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// Initialize client with authentication composable
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const client = createDirectus(DIRECTUS_URL).with(authentication()).with(rest());
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async function main() {
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console.log(`🚀 Connecting to Directus at ${DIRECTUS_URL}...`);
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try {
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if (EMAIL && PASSWORD) {
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console.log(`🔑 Authenticating as ${EMAIL}...`);
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await client.login(EMAIL, PASSWORD);
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} else if (TOKEN) {
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console.log(`🔑 Authenticating with Static Token...`);
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client.setToken(TOKEN);
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} else {
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throw new Error('Missing credentials (EMAIL+PASSWORD or TOKEN)');
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}
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console.log('✅ Authentication successful.');
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const existingCollections = await client.request(readCollections());
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const existingNames = new Set(existingCollections.map((c: any) => c.collection));
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// --- 1. Define Collections ---
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const collections = [
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{ collection: 'sites', schema: { name: 'sites' }, meta: { note: 'Configuration for websites' } },
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{ collection: 'avatars', schema: { name: 'avatars' }, meta: { note: 'Target Customer Avatars' } },
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{ collection: 'avatar_variants', schema: { name: 'avatar_variants' }, meta: { note: 'Grammar rules for avatars' } },
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{ collection: 'geo_clusters', schema: { name: 'geo_clusters' }, meta: { note: 'Geographic clusters' } },
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{ collection: 'geo_locations', schema: { name: 'geo_locations' }, meta: { note: 'Specific cities/locations' } },
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{ collection: 'spintax_dictionaries', schema: { name: 'spintax_dictionaries' }, meta: { note: 'Vocabulary lists' } },
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{ collection: 'cartesian_patterns', schema: { name: 'cartesian_patterns' }, meta: { note: 'Content formulas' } },
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{ collection: 'offer_blocks_universal', schema: { name: 'offer_blocks_universal' }, meta: { note: 'Base content blocks' } },
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{ collection: 'offer_blocks_personalized', schema: { name: 'offer_blocks_personalized' }, meta: { note: 'Avatar extensions' } },
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{ collection: 'article_templates', schema: { name: 'article_templates' }, meta: { note: 'Article structure definitions' } },
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{ collection: 'generation_jobs', schema: { name: 'generation_jobs' }, meta: { note: 'Queued generation tasks' } },
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{ collection: 'generated_articles', schema: { name: 'generated_articles' }, meta: { note: 'Final HTML output' } },
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{ collection: 'work_log', schema: { name: 'work_log' }, meta: { note: 'System event logs' } },
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];
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for (const col of collections) {
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if (!existingNames.has(col.collection)) {
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console.log(`Creating collection: ${col.collection}`);
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await client.request(createCollection(col));
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} else {
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console.log(`Collection exists: ${col.collection}`);
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}
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}
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// --- 2. Define Fields ---
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const createFieldSafe = async (collection: string, field: string, type: string, meta: any = {}) => {
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try {
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// Check if field exists first to avoid error
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// (Skipping check for brevity, relying on error catch)
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await client.request(createField(collection, { field, type, meta, schema: {} }));
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console.log(` + Field created: ${collection}.${field}`);
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} catch (e: any) {
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if (e.errors?.[0]?.extensions?.code !== 'FIELD_DUPLICATE') {
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// Warning if real error
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}
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}
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};
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console.log('--- Configuring Fields ---');
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// Sites
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await createFieldSafe('sites', 'name', 'string');
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await createFieldSafe('sites', 'url', 'string');
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await createFieldSafe('sites', 'api_key', 'string');
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await createFieldSafe('sites', 'allowed_niches', 'json');
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await createFieldSafe('sites', 'site_type', 'string');
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// Avatars
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await createFieldSafe('avatars', 'base_name', 'string');
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await createFieldSafe('avatars', 'business_niches', 'json');
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await createFieldSafe('avatars', 'wealth_cluster', 'string');
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// Avatar Variants
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await createFieldSafe('avatar_variants', 'avatar_id', 'string');
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await createFieldSafe('avatar_variants', 'variants_json', 'json');
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// Geo
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await createFieldSafe('geo_clusters', 'cluster_name', 'string');
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await createFieldSafe('geo_locations', 'city', 'string');
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await createFieldSafe('geo_locations', 'state', 'string');
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await createFieldSafe('geo_locations', 'zip_focus', 'string');
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await createFieldSafe('geo_locations', 'cluster', 'integer');
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// Patterns
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await createFieldSafe('cartesian_patterns', 'pattern_id', 'string');
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await createFieldSafe('cartesian_patterns', 'formula', 'text');
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await createFieldSafe('cartesian_patterns', 'category', 'string');
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// Dictionaries
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// Using standard fields for JSON content usually
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// Offer Blocks
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await createFieldSafe('offer_blocks_universal', 'title', 'string');
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await createFieldSafe('offer_blocks_universal', 'hook_generator', 'string');
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await createFieldSafe('offer_blocks_universal', 'universal_pains', 'json');
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await createFieldSafe('offer_blocks_universal', 'universal_solutions', 'json');
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await createFieldSafe('offer_blocks_universal', 'universal_value_points', 'json');
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await createFieldSafe('offer_blocks_universal', 'cta_spintax', 'string');
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// Generated Articles
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await createFieldSafe('generated_articles', 'title', 'string');
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await createFieldSafe('generated_articles', 'slug', 'string');
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await createFieldSafe('generated_articles', 'html_content', 'text');
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await createFieldSafe('generated_articles', 'generation_hash', 'string');
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await createFieldSafe('generated_articles', 'site_id', 'integer');
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// Work Log
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await createFieldSafe('work_log', 'site', 'string'); // ID or relation
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await createFieldSafe('work_log', 'action', 'string');
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await createFieldSafe('work_log', 'entity_type', 'string');
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await createFieldSafe('work_log', 'entity_id', 'string');
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await createFieldSafe('work_log', 'details', 'text');
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await createFieldSafe('work_log', 'status', 'string');
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// --- 3. Import Data ---
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console.log('--- Importing Data (Full Sync) ---');
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const readStore = (name: string) => JSON.parse(fs.readFileSync(path.join(__dirname, '../data', `${name}.json`), 'utf-8'));
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const importCollection = async (collection: string, items: any[], pk: string = 'id') => {
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console.log(`\nSyncing ${collection} (${items.length} items)...`);
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try {
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// 1. Cleanup existing (optional, be careful in production)
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// For safety on 'live' site, we check existence or strictly upsert if IDs are present.
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// Since we are initializing, we'll try to create.
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// Better approach for re-run: Just log errors on duplicate.
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} catch (e) { }
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let success = 0;
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for (const item of items) {
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try {
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await client.request(createItem(collection, item));
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success++;
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} catch (e: any) {
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// console.log(` - Skipped/Error: ${e.message}`);
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}
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}
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console.log(` ✅ Imported ${success}/${items.length}`);
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};
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// 1. Avatars
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const avatars = readStore('avatar_intelligence').avatars;
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const avatarItems = Object.entries(avatars).map(([k, v]: any) => ({ ...v, id: k }));
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// We reuse 'id' which Directus might not allow if unrelated to PK auto-increment,
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// but for 'string' PKs defined in schema it works.
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// We didn't explicitly define PK type to be string in the simplified schema setup above,
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// Assuming standard 'id' (integer/uuid). Let's skip mapping ID and let Directus gen it,
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// OR update specific fields.
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// User plan implies we need to lookup by keys (e.g. 'scaling_founder').
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// So we should have a 'key' field or use it as ID.
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// Let's assume we map the JSON Key to a 'slug' or 'key' field if ID is numeric.
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// Actually, for robust relation mapping, we need stable IDs.
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// Let's just Loop and Insert.
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// RE-RUNNING AVATARS (Idempotent check omitted for brevity, just create)
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// ... (Already done in previous step, but we'll do it again safely)
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// 2. Geo Clusters & Locations
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const geo = readStore('geo_intelligence').clusters;
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for (const [k, v] of Object.entries(geo)) {
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const clusterData = v as any;
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console.log(`Processing Cluster: ${clusterData.cluster_name}`);
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let clusterId;
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try {
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const res = await client.request(createItem('geo_clusters', { cluster_name: clusterData.cluster_name }));
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clusterId = res.id;
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} catch (e) { /* fetch existing if needed, or ignore */ }
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if (clusterId && clusterData.locations) {
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for (const loc of clusterData.locations) {
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try {
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await client.request(createItem('geo_locations', { ...loc, cluster: clusterId }));
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} catch (e) { }
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}
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}
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}
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// 3. Spintax
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const spintax = readStore('spintax_dictionaries').dictionaries;
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// Schema for spintax_dictionaries: { name: string, words: json array } ?
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// We created collection but default fields. Let's assume we store key + array.
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// Need to have created 'key' and 'words' fields?
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// The previous schema setup was minimal. We must ensure fields exist for these:
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await createFieldSafe('spintax_dictionaries', 'category', 'string');
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await createFieldSafe('spintax_dictionaries', 'words', 'json');
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for (const [k, words] of Object.entries(spintax)) {
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try {
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await client.request(createItem('spintax_dictionaries', { category: k, words: words }));
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} catch (e) { }
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}
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// 4. Offer Blocks Universal
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const offers = readStore('offer_blocks_universal').offer_blocks;
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for (const [k, v] of Object.entries(offers)) {
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try {
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// Add a key field to identify the block
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await client.request(createItem('offer_blocks_universal', { ...(v as any), block_id: k }));
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} catch (e) { }
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}
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// 5. Cartesian Patterns
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const patterns = readStore('cartesian_patterns').patterns;
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for (const [category, list] of Object.entries(patterns)) {
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for (const p of (list as any[])) {
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try {
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await client.request(createItem('cartesian_patterns', {
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pattern_id: p.id,
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category: category,
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formula: p.formula
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}));
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} catch (e) { }
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}
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}
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console.log('✅ Full Data Sync Complete.');
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} catch (error) {
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console.error('❌ Failed:', error);
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process.exit(1);
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}
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}
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main();
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