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Gan, Jimmy 6c0d5a4e63 Initial commit: Clean Mold Cost Calculator application

- Flask-based mold cost calculation application
- PostgreSQL database with SQLAlchemy ORM
- Docker/Podman containerization
- Comprehensive documentation in docs/
- Clean, organized codebase without obsolete files
- Production-ready deployment configuration
- Enhanced pytest configuration with coverage reporting
- Master/Development branch structure

2025-06-24 02:30:09 +08:00

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Automated Deployment with Podman and rsync

This document describes how to automatically deploy the mold_cost_calculator application using Podman and rsync.

1. Build the Image Locally

podman build -t mold_cost_calculator:latest .

2. Save the Image as a Tarball

podman save -o mold_cost_calculator.tar mold_cost_calculator:latest

3. Transfer the Image to the Server Using rsync

Replace user@server1:/path/to/deploy/dir with your actual server username and path:

rsync -avz mold_cost_calculator.tar user@server1:/path/to/deploy/dir/

4. Load the Image on the Server

SSH into your server and run:

podman load -i /path/to/deploy/dir/mold_cost_calculator.tar

5. Stop and Remove the Old Container (if running)

podman stop mold_cost_calculator || true
podman rm mold_cost_calculator || true

6. Run the New Container

podman run -d --name mold_cost_calculator -p 5001:5001 --restart=always \
  -v /path/to/instance:/app/instance \
  -v /path/to/logs:/app/logs \
  localhost/mold_cost_calculator:latest

Adjust volume paths as needed.

7. (Optional) Automate with a Script

Create a script deploy.sh:

#!/bin/bash
set -e

# 1. Build image
podman build -t mold_cost_calculator:latest .

# 2. Save image
podman save -o mold_cost_calculator.tar mold_cost_calculator:latest

# 3. Rsync to server
rsync -avz mold_cost_calculator.tar user@server1:/path/to/deploy/dir/

# 4. SSH and deploy on server
ssh user@server1 <<'ENDSSH'
  cd /path/to/deploy/dir/
  podman load -i mold_cost_calculator.tar
  podman stop mold_cost_calculator || true
  podman rm mold_cost_calculator || true
  podman run -d --name mold_cost_calculator -p 5001:5001 --restart=always \
    -v /path/to/instance:/app/instance \
    -v /path/to/logs:/app/logs \
    localhost/mold_cost_calculator:latest
ENDSSH

Make it executable: chmod +x deploy.sh
Update all /path/to/... and user@server1 as needed.

Notes

Ensure Podman is installed on both local and server machines.
Adjust volume paths and ports as needed for your environment.
Nginx should be configured to reverse proxy to port 5001 on the server.
For further automation, consider using CI/CD tools.

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