system architecture

TECHNICAL STACK

Frecuencia Global is a publishing automation system that transforms markdown content into validated, multi-platform posts via custom scripts, API integrations, and a local HTTP bridge server.

ARCHITECTURE OVERVIEW

┌─────────────────────────────────────────────────┐
│  Content Pipeline                                │
│                                                   │
│  Markdown → Preflight → Dry-run → Publish        │
│  (04_Produccion/)  (validator)  (per-platform)   │
│                                                   │
├───────────────┬───────────────┬───────────────────┤
│  Bridge API   │  Publishing   │  Asset Generation │
│  (Python HTTP)│  Scripts      │                   │
│  :3001        │  (Playwright) │  (Gemini AI)      │
│  5 endpoints  │  (Graph API)  │  (auto-watermark) │
│  API key auth │  (Bot API)    │                   │
├───────────────┴───────────────┴───────────────────┤
│  Infrastructure                                   │
│  Astro 6 · Tailwind 4 · n8n Cloud · Docker       │
│  Cloudflare Tunnel · ForwardEmail                │
└─────────────────────────────────────────────────┘

CORE STACK

Astro v6.x

Static site generator

Tailwind CSS v4.x

Utility-first styling

Python v3.14

Automation scripts & bridge server

Node.js v22.x

Build tooling & RSS generation

Playwright v1.58

Browser automation for publishing

n8n Cloud

Workflow orchestration

Docker v29.x

Containerized services

PowerShell v5.1

Daily ops automation

PUBLISHING SCRIPTS

Each script handles the full lifecycle for one platform: content extraction from markdown, asset resolution, authentication, and either API calls or browser automation.

x_publish_post.py

Publishes to X/Twitter via Playwright + persistent Chrome session

threads_publish_post.py

Publishes to Threads via Graph API (text + image)

ig_publish_post.py

Publishes to Instagram via browser automation

linkedin_publish_post.py

Publishes to LinkedIn Company Page via Playwright

gemini_generate_image.py

AI image generation via Gemini web + clipboard automation

fg_local_publish_mvp.py

Dry-run validator for all platforms before publishing

activepieces_bridge.py

HTTP bridge server with API key auth (5 endpoints)

fg_daily_check.ps1

PowerShell wrapper for daily batch validation

monitor_domain.py

DNS monitoring with Telegram notifications

BRIDGE API SERVER

A local Python HTTP server that exposes the publishing pipeline as a REST API. Authenticated via X-API-Key header on write endpoints.

Method Endpoint Description
GET / Health check + version info
GET /piezas Auto-discover PublishReady content
GET /history List recent validation reports
POST /run_mvp Validate single content piece (auth required)
POST /run_all Batch validate all pieces (auth required)

PLATFORM INTEGRATIONS

Platform Method Status
Threads Graph API Operational
X / Twitter Browser automation Operational
Instagram Browser automation Operational
LinkedIn Browser automation Operational
Gemini Web automation Operational
Telegram Bot API Operational

PROJECT STRUCTURE

frecuencia-global/
├── website/              # Astro 6 static site (this site)
│   ├── src/pages/        # Routes: index, stack, podcast, articles
│   ├── src/components/   # Reusable Astro components
│   └── src/content/      # Markdown content collections
├── scripts/              # Python + PowerShell automation
│   ├── *_publish_post.py # Per-platform publishing scripts
│   ├── activepieces_bridge.py  # REST API bridge server
│   └── fg_daily_check.ps1      # Daily validation runner
├── 04_Produccion/        # PublishReady markdown files
├── 06_Assets/            # Generated images per piece
├── 07_Operaciones/       # Operational docs and reports
└── 08_n8n/               # Workflow definitions (JSON)

CURRENT STATUS

09

automation scripts

06

platform integrations

05

API endpoints

Daily batch validation passing on all content pieces
Bridge API v1.2.0 with key-based authentication
Multi-platform publishing: X, Threads, Instagram, LinkedIn
n8n Cloud workflow orchestration configured

open source

This project is built with open-source tools and free-tier services. The automation layer is designed to be reproducible and self-hosted.

github.com/59gray →