from grep import coroutine
from copipe import grep
from cofollow import follow, printer
@coroutine
def broadcast(coros):
while True:
line = yield
for coro in coros:
coro.send(line)
if __name__ == '__main__':
f = open('access-log', 'r')
p = printer()
follow(f, broadcast((grep('python', p), grep('ply', p), grep('swig', p))))
f.close()
from coroutine import coroutine
from cofollow import follow, printer
@coroutine
def grep(pattern, target):
while True:
line = (yield)
if pattern in line:
target.send(line)
if __name__ == '__main__':
f = open('www/access-log')
follow(f, grep('python', printer()))
# -*- coding: utf-8 -*-
"""
multiple target
"""
from coroutine import coroutine
from cofollow import follow, grep, printer
@coroutine
def broadcast(targets):
while True:
line = (yield)
if line is not None:
for target in targets:
target.send(line)
if __name__ == "__main__":
# 在同一个打印器中输出
p = printer()
f = open("access-log")
follow(f,
broadcast([grep('python', p),
grep('ruby', p),
grep('haskell', p)]))
# -*- coding: utf-8 -*-
"""
multiple target
Coroutines provide more powerful data routing possibilities than simple iterators
If you built a collection of simple data processing components, you can glue them together into complex arrangements of pipes, branches, merging, etc.
"""
from coroutine import coroutine
from cofollow import follow, grep, printer
@coroutine
def broadcast(targets):
while True:
line = (yield)
if line is not None:
for target in targets:
target.send(line)
if __name__ == "__main__":
f = open("access-log")
follow(
f,
broadcast([
grep('python', printer()),
grep('ruby', printer()),
grep('haskell', printer())
]))
from coroutine import coroutine
from cofollow import follow, printer
from copipe import grep
@coroutine
def broadcast(targets):
while True:
item = (yield)
for target in targets:
target.send(item)
if __name__ == '__main__':
f = open('www/access-log')
follow(
f,
broadcast([
grep('python', printer()),
grep('ply', printer()),
grep('swig', printer()),
]))