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Examples

Cloudflare has a wide range of Python examples in the Workers Example gallery.

In addition to those examples, consider the following ones that illustrate Python-specific behavior.

Parse an incoming request URL

from js import Response
from urllib.parse import urlparse, parse_qs


async def on_fetch(request, env):
    # Parse the incoming request URL
    url = urlparse(request.url)
    # Parse the query parameters into a Python dictionary
    params = parse_qs(url.query)


    if "name" in params:
        greeting = "Hello there, {name}".format(name=params["name"][0])
        return Response.new(greeting)




    if url.path == "/favicon.ico":
      return Response.new("")


    return Response.new("Hello world!")

Parse JSON from the incoming request

from js import Response


async def on_fetch(request):
    name = (await request.json()).name
    return Response.new("Hello, {name}".format(name=name))

Emit logs from your Python Worker

# To use the JavaScript console APIs
from js import console, Response
# To use the native Python logging
import logging


async def on_fetch(request):
    # Use the console APIs from JavaScript
    # https://developer.mozilla.org/en-US/docs/Web/API/console
    console.log("console.log from Python!")


    # Alternatively, use the native Python logger
    logger = logging.getLogger(__name__)


    # The default level is warning. We can change that to info.
    logging.basicConfig(level=logging.INFO)


    logger.error("error from Python!")
    logger.info("info log from Python!")


    # Or just use print()
    print("print() from Python!")


    return Response.new("We're testing logging!")

Publish to a Queue

from js import Response, Object
from pyodide.ffi import to_js as _to_js


# to_js converts between Python dictionaries and JavaScript Objects
def to_js(obj):
   return _to_js(obj, dict_converter=Object.fromEntries)


async def on_fetch(request, env):
    # Bindings are available on the 'env' parameter
    # https://developers.cloudflare.com/queues/


    # The default contentType is "json"
    # We can also pass plain text strings
    await env.QUEUE.send("hello", contentType="text")
    # Send a JSON payload
    await env.QUEUE.send(to_js({"hello": "world"}))


    # Return a response
    return Response.json(to_js({"write": "success"}))

Query a D1 Database

from js import Response


async def on_fetch(request, env):
    results = await env.DB.prepare("PRAGMA table_list").all()
    # Return a JSON response
    return Response.json(results)

Refer to Query D1 from Python Workers for a more in-depth tutorial that covers how to create a new D1 database and configure bindings to D1.

Next steps