pyruvate 1.0.2

Manylinux2010 binary wheels

Manylinux2010 wheels are available for active Python 3 versions (currently 3.6-3.9). Pip supports manylinux2010 wheels since version 19.0. Setuptools (used by e.g. zc.buildout) supports manylinux2010 wheels since version 42.0.0. So if you are on Linux and the Pyruvate source distribution is preferred over the binary package try upgrading pip and/or setuptools first.

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 (>= 3.6) 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

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)

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.

write_blocking

Optional: Use a blocking connection for writing. Pyruvate currently supports two types of workers: The default worker will write in a non-blocking manner, registering WSGI responses for later processing if the socket isn’t available for writing immediately. By setting this option to True you can enable a worker that will instead set the connection into blocking mode for writing. Defaults to False.

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 24 headers

async_logging

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

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.

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.

chunked_transfer

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

Logging

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

Django 2

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 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):

from logging.config import fileConfig
import os.path
import pyruvate
fileConfig(r'/path/to/mapproxy/log.ini', {'here': os.path.dirname(__file__)})

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

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

Start from your virtualenv:

$ python config.py

Tested with Mapproxy 1.12.x.

Plone 5.2

Using zc.buildout and plone.recipe.zope2instance you can define an instance part using Pyruvate’s PasteDeploy <https://pastedeploy.readthedocs.io/en/latest/> _entry point:

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

The server section of the template provided with the wsgi-ini-template option should look like this (3 workers listening on http-address as specified in the buildout [instance] part):

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

There is a minimal buildout example configuration for Plone 5.2 in the examples directory of the package.

Tested with Plone 5.2.x.

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 <https://pastedeploy.readthedocs.io/en/latest/> _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 1.10.x.

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.