Building Rich a Dev Server ━━━━━━━━━━━━━━━━━━━━━━━━━━ ** Date: March 27, 2021 Draft Post I’ve really been digging https://twitter.com/willmcgugan@willmcgugan <https://willmcgugan.github.io>’s rich <https://github.com/willmcgugan/rich> library for creating TUI like interfaces in python. I’ve only recently started to take full advantage of it. Dev Server ────────── I am working on a project in which I want to have a dev server running continuously in the background. I really like dev servers theat automatically chooose an unused port and list out the running pid so that I can kill it if I need to. - automatic port number - auto-restart - display ( port, pid, uptime ) finding the port ──────────────── I am very novice at best when it comes to sockets, the following function came from searching StackOverflow for how to tell if a port is in use. I recursively check if a port is being used, if it is I increment by one until I find an unused port to return. [code] def find_port(port=8000): """Find a port not in ues starting at given port""" import socket with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: if s.connect_ex(("localhost", port)) == 0: return find_port(port=port + 1) else: return port The Dev Server ────────────── I am going super basic here and just running python -m http.server . It works for what I need it for, it hosts my files for the browser to display, and if I try a route without an index.html </html/> it gives me a decent file list. [code] import subprocess proc = subprocess.Popen(["python", "-m", "http.server", str(find_port)],) │ Optionally if you wanted a live-reload you could opt into live-reload from pypi. The above snippet will start my dev server on the first open port starting at 8000 and give me a subprocess.Popen object. From there I can see a bit of information about the process. [code] # returns the process id proc.pid # returns none if proc is still running proc.poll() Rich ──── a quick aside rich <https://github.com/willmcgugan/rich> will assist in creating a beautiful terminal interface with minimal effort. Here we are going to build a reuable component to later use inside of a rich layout. When using rich.print or the live display rich will execute a __rich__ method on our objects. [code] class Min: def __rich__(self) -> Panel: return Panel("hello world") def make_min_layout(): layout = Layout() layout.split(Layout(name="upper"), Layout(name="lower")) layout["upper"].update(Min()) layout["lower"].update(Min()) return layout - __repr__ - custom method - Panel - box around a renderable - Layout - split and nest renderables There are many components to rich, but the basics I am using so far here are making my own components with a __repr__ method, Panel, and Layout. Panel is an object that will by default take up as much space as it can and draw a rounded border around itself. Layout is an object that accepts other rich renderables, can be split and nested. Final Result ──────────── Here is a image of the final result running. Here I have the server running on the top split and kill the running server several times. You will see a quick flash of server died followed by the sever back up and running on a new pid. Sorry, your browser doesn't support embedded videos. speed up slow down [code] class Server: def __init__(self, auto_restart=True): self.port = find_port() self.start_server() self.auto_restart = auto_restart def start_server(self): import subprocess self.proc = subprocess.Popen( ["python", "-m", "http.server", str(self.port)], stdout=subprocess.PIPE, stderr=subprocess.PIPE, ) def __rich__(self) -> Panel: if not self.proc.poll(): return Panel( f"[green]serving on port: [gold1]{self.port} [green]using pid: [gold1]{self.proc.pid}[/]" ) else: if self.auto_restart: self.start_server() return Panel(f"[red]server died") Future State ──────────── Future state this is going to be integrated into the main layout for my personal website SSG markata. Image: markata live server