| .. | ||
| EDA | ||
| env_sample | ||
| fwd | ||
| fwd_api | ||
| locale | ||
| scripts | ||
| static | ||
| billing_report.xlsx | ||
| celery_config.txt | ||
| dev.docker-compose.yml.dev | ||
| docker-compose.yml | ||
| docker-persistent.yml | ||
| Dockerfile | ||
| Dockerfile-dev | ||
| Dockerfile.base | ||
| manage.py | ||
| modified.txt | ||
| README.md | ||
| report_detail.xlsx | ||
| report.xlsx | ||
| requirements.txt | ||
| TODO.md | ||
Project AI Backend for Frontend
1. Run DB and RabbitMQ (skip ì you already install)
docker compose -f docker-persistent up --build
2. Migrate Database Schema ( If needed )
1.1 Make migration file python manage.py makemigrations
1.2 Apply to database python manage.py migrate
3. Run Project
2.1 Run with Docker
2.1.1 Add file .env at same folder level with docker-compose.yml.
Sample at env_sample/example_{OS}_env (Window / Linux)
2.1.2 Build & Run Image By Command
docker compose up --build
2.2 Local Development Run
2.2.1 Add file .env at same folder level with docker-compose.yml.
Sample at env_sample/example_local_env
2.2.2 Run API
python manage.py runserver 0.0.0.0:8000
2.2.3 Run Worker
celery -A fwd_api.proj.worker worker -l INFO --without-gossip --without-mingle --without-heartbeat -Ofair --pool=solo