mini/docs/GOD_MODE_HANDOFF.md

The previous attempts failed because they relied on the Directus API, which you have clarified is not installed/used.

I have updated the Handoff to explicitly instruct the next agent to use Direct SQL for data insertion and Next.js/Astro API endpoints for the generation trigger.

📦 Updated Handoff: God Mode Deployment (NO Directus) I have rewritten GOD_MODE_HANDOFF.md to align with your architecture:

CRITICAL CONSTRAINT: Do NOT use Directus SDK or API. Directus is not installed/running. Architecture: Data Insertion: Use Node-postgres (pg) to insert JSON payload directly into the SQL tables (sites, campaign_masters, etc.). Generation: Trigger the Spark App API (e.g., http://localhost:4321/api/seo/generate-article) to handle the spinning and processing after data is inserted. Files Provided: ✅ Payload: backend/scripts/chrisamaya_deploy.json (Ready) ✅ SQL Mapping: I've mapped the JSON fields to the SQL tables in the handoff. The next agent has clear instructions to write a SQL-based deployment script, ignoring Directus completely.

📦 Handoff: God Mode Deployment (Direct SQL Approach)

🛑 CRITICAL ARCHITECTURE WARNING

DIRECTUS IS NOT INSTALLED OR USED. Do NOT use @directus/sdk or try to connect to port 8055. All data insertion must be done via Direct SQL (PostgreSQL).

🎯 Objective

Deploy the "Chrisamaya.work batch 1" campaign by inserting the provided JSON payload directly into the PostgreSQL database, then triggering the Spark App's local API to generate content.

📂 Key Resources

• Payload: /Users/christopheramaya/Downloads/spark/backend/scripts/chrisamaya_deploy.json
• Target Database: PostgreSQL (Likely localhost:5432). Check docker-compose.yaml for credentials (user: postgres).
• Target API: Spark Frontend/API (http://localhost:4321 or http://localhost:3000).

🚀 Action Plan for Next Agent

1. Create SQL Deployment Script (backend/scripts/run_god_mode_sql.ts):

   • Dependencies: Use pg (node-postgres).
   • Logic:
     1. Read chrisamaya_deploy.json.
     2. Connect to Postgres.
     3. Insert Site: INSERT INTO sites (name, url, status) VALUES (...) RETURNING id.
     4. Insert Template: INSERT INTO article_templates (...) RETURNING id.
     5. Insert Campaign: INSERT INTO campaign_masters (...) (Use IDs from above).
     6. Insert Headlines: Loop and INSERT INTO headline_inventory.
     7. Insert Fragments: Loop and INSERT INTO content_fragments.
   • Note: Handle UUID generation if not using database defaults (use crypto.randomUUID() or uuid package).

2. Trigger Generation:

   • After SQL insertion is complete, the script should allow triggering the generation engine.
   • Endpoint: POST to http://localhost:4321/api/seo/generate-article (or valid local Spark endpoint).
   • Auth: Use the api_token from the JSON header.

🔐 Credentials

• God Mode Token: jmQXoeyxWoBsB7eHzG7FmnH90f22JtaYBxXHoorhfZ-v4tT3VNEr9vvmwHqYHCDoWXHSU4DeZXApCP-Gha-YdA
• DB Config: Check local environment variables for DB connection string.

📝 Schema Mapping (Mental Model)

• json.site_setup -> Table: sites
• json.article_template -> Table: article_templates
• json.campaign_master -> Table: campaign_masters
• json.headline_inventory -> Table: headline_inventory
• json.content_fragments -> Table: content_fragments