refactor: reorganizar estructura de archivos en raiz

Antes la raiz tenia 20+ archivos sueltos. Ahora organizado en:

  docs/       10 archivos .md de documentacion tecnica
  scripts/    3 scripts utilitarios (credentials, migrate, verify)
  config/     entity_config.json (aliases y blacklist NER)
  data/       feeds.csv (feeds precargados)

Eliminados restos de Docker que ya no aplican:
  .dockerignore, .env.example, .env.secure.example, nginx.conf (raiz)

Makefile: eliminados targets docker-build, añadidos install/rebuild/check/poc

Referencias actualizadas en:
  deploy/debian/install.sh  entity_config.json -> config/entity_config.json
  deploy/debian/build.sh    entity_config.json -> config/entity_config.json
  README.md                 links a docs/ y data/ actualizados,
                            arbol de estructura del repo reescrito

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
SITO 2026-03-30 22:29:50 +02:00
parent ec839b5b54
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# Deployment Guide
This guide describes how to deploy the application to a new server.
## Prerequisites
* **Linux Server** (Ubuntu 22.04+ recommended)
* **NVIDIA GPU**: Required for translation, embeddings, and NER services.
* **NVIDIA Container Toolkit**: Must be installed to allow Docker to access the GPU.
* **Docker** & **Docker Compose**: Latest versions.
* **Git**: To clone the repository.
* **External Service**: An instance of [AllTalk](https://github.com/erew123/alltalk_tts) running externally or on the host (port 7851 by default).
## Deployment Steps
1. **Clone the Repository**
```bash
git clone <your-repo-url>
cd <your-repo-name>
```
2. **Configure Environment Variables**
Copy the example configuration file:
```bash
cp .env.example .env
```
Edit `.env` and set secure passwords and configuration:
```bash
nano .env
```
* Change `POSTGRES_PASSWORD` and `DB_PASS` to a strong unique password.
* Change `SECRET_KEY` to a long random string.
* Verify `ALLTALK_URL` points to your AllTalk instance (default assumes host machine access).
3. **Start the Services**
Run the following command to build and start the application:
```bash
docker compose up -d --build
```
4. **Database Initialization**
The database will automatically initialize on the first run using the scripts in `init-db/`. This may take a few minutes. Check logs with:
```bash
docker compose logs -f db
```
5. **Verify Deployment**
Access the application at `http://<your-server-ip>:8001`.
## Important Notes
* **Models**: The application mounts `./models` and `./hf_cache` to persist AI models. On the first run, it will attempt to download necessary models (NLLB, BERT, etc.), which requires significant bandwidth and time.
* **Data Persistence**: Database data is stored in `./pgdata` (mapped in docker-compose). Ensure this directory is backed up.
* **Security**: Ensure port 5432 (Postgres) and 6379 (Redis) are firewall-protected and not exposed to the public internet unless intended (Docker maps them to the host network).