DEPPRECATED Flower is now superseded by Offset .
collection of modules to build distributed and reliable concurrent systems in Python.
a = “” def f(): print(a) def hello(): a = "hello, world" tasklet(f)()
- Python from 2.6 to 3.x
- A platform supported by libuv <https://github.com/joyent/libuv>
A simple example showing how to create a simple echo server.
# Echo server program from flower import tasklet, run from flower.net import Listen # handle the connection. It return data to the sender. def handle_connection(conn): while True: data = conn.read() if not data: break conn.write(data) # Listen on tcp port 8000 on localhost l = Listen(('127.0.0.1', 8000), "tcp") try: while True: try: # wait for new connections (it doesn't block other tasks) conn, err = l.accept() # Handle the connection in a new task. # The loop then returns to accepting, so that # multiple connections may be served concurrently. t = tasklet(handle_connection)(conn) except KeyboardInterrupt: break finally: l.close() run()
And the echo client:
from flower import tasklet, run, schedule from flower.net import Dial # connect to the remote server conn = Dial("tcp", ('127.0.0.1', 8000)) # start to handle the connection # we send a string to the server and fetch the # response back for i in range(3): msg = "hello" print("sent %s" % msg) resp = conn.write(msg) ret = conn.read() print("echo: %s" % ret) conn.close() run()
Flower requires Python superior to 2.6 (yes Python 3 is supported)
To install flower using pip you must make sure you have a recent version of distribute installed:
$ curl -O http://python-distribute.org/distribute_setup.py $ sudo python distribute_setup.py $ easy_install pip
For now flower can only be installed from sources. To install or upgrade to the latest released version of flower:
$ git clone https://github.com/benoitc/flower.git $ cd flower && pip install -r requirements.txt
flower is available in the public domain (see UNLICENSE). flower is also optionally available under the MIT License (see LICENSE), meant especially for jurisdictions that do not recognize public domain works.