pyruvate 1.3.0rc1

Binary Packages

manylinux_2_17 and musllinux_1_1 wheels are available for the x86_64 architecture and active Python 3 versions (currently 3.8-3.12).

Source Installation

On macOS or if for any other reason you want to install the source tarball (e.g. using pip install –no-binary) you will need to install Rust first.

Development Installation

• Install Rust

• Install and activate a Python 3 (>= 3.8) virtualenv

• Install setuptools_rust using pip:

  $ pip install setuptools_rust

• Install Pyruvate, e.g. using pip:

  $ pip install -e git+https://gitlab.com/tschorr/pyruvate.git#egg=pyruvate[test]

From Python using a TCP port

A hello world WSGI application using Pyruvate listening on 127.0.0.1:7878 and using 2 worker threads looks like this:

import pyruvate

def application(environ, start_response):
    """Simplest possible application object"""
    status = '200 OK'
    response_headers = [('Content-type', 'text/plain')]
    start_response(status, response_headers, None)
    return [b"Hello world!\n"]

pyruvate.serve(application, "127.0.0.1:7878", 2)

From Python using a Unix socket

A hello world WSGI application using Pyruvate listening on unix:/tmp/pyruvate.socket and using 2 worker threads looks like this:

import pyruvate

def application(environ, start_response):
    """Simplest possible application object"""
    status = '200 OK'
    response_headers = [('Content-type', 'text/plain')]
    start_response(status, response_headers, None)
    return [b"Hello world!\n"]

pyruvate.serve(application, "/tmp/pyruvate.socket", 2)

Using PasteDeploy

Again listening on 127.0.0.1:7878 and using 2 worker threads:

[server:main]
use = egg:pyruvate#main
socket = 127.0.0.1:7878
workers = 2

Configuration Options

socket

Required: The TCP socket Pyruvate should bind to. Pyruvate also supports systemd socket activation If you specify None as the socket value, Pyruvate will try to acquire a socket bound by systemd.

workers

Required: Number of worker threads to use.

async_logging

Optional: Log asynchronously using a dedicated thread. Defaults to True.

chunked_transfer

Optional: Whether to use chunked transfer encoding if no Content-Length header is present. Defaults to False.

keepalive_timeout

Optional: Specify a timeout in integer seconds for keepalive connection. The persistent connection will be closed after the timeout expires. Defaults to 60 seconds.

max_number_headers

Optional: Maximum number of request headers that will be parsed. If a request contains more headers than configured, request processing will stop with an error indicating an incomplete request. The default is 32 headers

max_reuse_count

Optional: Specify how often to reuse an existing connection. Setting this parameter to 0 will effectively disable keep-alive connections. This is the default.

qmon_warn_threshold

Optional: Warning threshold for the number of requests in the request queue. A warning will be logged if the number of queued requests reaches this value. The value must be a positive integer. The default is None which disables the queue monitor.

send_timeout

Optional: Time to wait for a client connection to become available for writing after EAGAIN, in seconds. Connections that do not receive data within this time are closed. The value must be a positive integer. The default is 60 seconds.

Logging

Pyruvate uses the standard Python logging facility. The logger name is pyruvate. See the Python documentation (logging, logging.config) for configuration options.

Django

After installing Pyruvate in your Django virtualenv, create or modify your wsgi.py file (one worker listening on 127.0.0.1:8000):

import os
import pyruvate

from django.core.wsgi import get_wsgi_application

os.environ.setdefault("DJANGO_SETTINGS_MODULE", "your_django_application.settings")

application = get_wsgi_application()

pyruvate.serve(application, "127.0.0.1:8000", 1)

You can now start Django + Pyruvate with:

$ python wsgi.py

Override settings by using the DJANGO_SETTINGS_MODULE environment variable when appropriate. Tested with Django 4.1.x, 3.2.x, 2.2.x.

MapProxy

First create a basic WSGI configuration following the MapProxy deployment documentation. Then modify config.py so it is using Pyruvate (2 workers listening on 127.0.0.1:8005):

import os.path
import pyruvate

from mapproxy.wsgiapp import make_wsgi_app
application = make_wsgi_app(r'/path/to/mapproxy/mapproxy.yaml')

pyruvate.serve(application, "127.0.0.1:8005", 2)

Start from your virtualenv:

$ python config.py

Tested with Mapproxy 1.15.x, 1.13.x, 1.12.x.

Plone

[server:main]
use = egg:pyruvate#main
socket = localhost:7878
workers = 2

[instance]
recipe = plone.recipe.zope2instance
http-address = 127.0.0.1:8080
eggs =
    Plone
    pyruvate
wsgi-ini-template = ${buildout:directory}/templates/pyruvate.ini.in

[server:main]
use = egg:pyruvate#main
socket = %(http_address)s
workers = 3

Pyramid

Install Pyruvate in your Pyramid virtualenv using pip:

$ pip install pyruvate

Modify the server section in your .ini file to use Pyruvate’s PasteDeploy entry point (listening on 127.0.0.1:7878 and using 5 workers):

[server:main]
use = egg:pyruvate#main
socket = 127.0.0.1:7878
workers = 5

Start your application as usual using pserve:

$ pserve path/to/your/configfile.ini

Tested with Pyramid 2.0, 1.10.x.

Radicale

You can find an example configuration for Radicale in the examples directory of the package. Tested with Radicale 3.1.8.

Nginx settings

Like other WSGI servers Pyruvate should be used behind a reverse proxy, e.g. Nginx:

....
location / {
    proxy_pass http://localhost:7878;
    ...
}
...

Nginx doesn’t use keepalive connections by default so you will need to modify your configuration if you want persistent connections.