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Vorstellung Restic UI als PyWebIO Version

PyWebIO
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  • Portfolio - mein kleines Flask Projekt

    Python3 python flask bootstrap ki-generiert
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    FrankMF
    Hab ChatGPT nochmal nach der Installation auf einem Production Server befragt. ChatGPT Certainly! Here's a short example of the steps you can follow to deploy a Flask application on a production server using Nginx and Gunicorn: Prepare your server: Set up a server (e.g., using a cloud provider like AWS, DigitalOcean, or a dedicated server) and ensure it has a clean, up-to-date installation of a Linux distribution (e.g., Ubuntu or CentOS). Install required software: Install necessary software packages on your server. You'll need Python, pip (Python package manager), Nginx, and Gunicorn. You can use your distribution's package manager (e.g., apt for Ubuntu or yum for CentOS) to install these dependencies. Deploy your Flask application: Copy your Flask application code and any required dependencies to your server. Set up a virtual environment (optional but recommended): Create a virtual environment for your Flask application to isolate its dependencies. You can use venv or virtualenv for this purpose. Install Flask and any required Python packages within your virtual environment: pip install flask Test your Flask application: Ensure your Flask application runs correctly within your server's virtual environment. Configure Gunicorn: Create a Gunicorn configuration file (e.g., gunicorn_config.py) to specify the settings for running your Flask application. Here's a simple example: workers = 4 # Number of Gunicorn worker processes bind = '0.0.0.0:8000' # The address and port Gunicorn should listen on Start Gunicorn: Start Gunicorn with your Flask application: gunicorn -c gunicorn_config.py your_app:app Configure Nginx: Create an Nginx server block (often located in /etc/nginx/sites-available) to define how Nginx should handle incoming requests. Here's a simplified example: server { listen 80; server_name your_domain.com www.your_domain.com; location / { proxy_pass http://127.0.0.1:8000; # Pass requests to Gunicorn proxy_set_header Host $host; proxy_set_header X-Real-IP $remote_addr; } } Enable the Nginx server block and restart Nginx: sudo ln -s /etc/nginx/sites-available/your_config /etc/nginx/sites-enabled/ sudo nginx -t # Test Nginx configuration sudo systemctl restart nginx Configure your DNS: Point your domain name to your server's IP address. Secure your server (optional but recommended): Set up SSL/TLS certificates for your domain to enable HTTPS. You can use Let's Encrypt for free SSL certificates. Monitor your application: Set up monitoring tools and logs to keep track of your application's performance and troubleshoot any issues. These are the basic steps to deploy a Flask application on a production server with Nginx and Gunicorn. Please note that this is a simplified example, and there are many additional considerations, such as database configuration, security, and optimization, depending on your specific application and requirements. It's also important to keep your server and software up to date and follow security best practices to ensure the stability and security of your production environment. Das werde ich doch mal ausprobieren
  • Python - Dict -> JSON und umgekehrt

    Python3 python
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  • ResticUI with PyWebIO - Repo

    PyWebIO pywebio python restic-ui
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  • Restic UI - Vorstellung Part 2

    Restic UI restic-ui
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  • Qt 5 Designer

    Python3 python
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  • Restic UI - auf PyQt6 umbauen

    Restic UI restic-ui pyqt6
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    332 Aufrufe
    FrankMF
    Ich hatte im Python Forum mal um Hilfe gebeten und man hat mir einen Hinweis gegeben, dem ich hier mal nachgehe. Der Forenuser meinte, das es ihn wundern würde, wenn ich von QtCore importieren müsste, also self.addDockWidget(QtCore.Qt.DockWidgetArea.RightDockWidgetArea, self.items) Das habe ich mal ausprobiert. Wenn ich von QtCore Qt importiere, kann ich das QtCore weglassen. from PyQt6.QtCore import QSettings, Qt dann geht auch self.addDockWidget(Qt.DockWidgetArea.RightDockWidgetArea, self.items) Es sieht so aus, das ich mich in dieses Thema noch ein wenig einarbeiten muss
  • Restic UI - QThread

    Restic UI restic-ui python3
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  • Restic UI - REST Server Unterstützung

    Restic UI restic-ui restic rest-server python
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    FrankMF
    Die REST Unterstützung ist komplett https://gitlab.com/Bullet64/restic-ui-public/-/releases/1.1.0 Ich denke, ein wenig Dokumentation wäre noch gut