要从我的python脚本启动程序,我使用以下方法:
def execute(command):
process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
output = process.communicate()[0]
exitCode = process.returncode
if (exitCode == 0):
return output
else:
raise ProcessException(command, exitCode, output)
所以当我启动一个进程,比如进程。执行("mvn clean install")时,我的程序会一直等待,直到进程完成,只有到那时我才能得到程序的完整输出。这是恼人的,如果我正在运行一个进程,需要一段时间才能完成。
我能让我的程序一行一行地写进程输出吗,在循环结束之前轮询进程输出什么的?
我找到了这篇文章,可能与此有关。
import time
import sys
import subprocess
import threading
import queue
cmd='esptool.py --chip esp8266 write_flash -z 0x1000 /home/pi/zero2/fw/base/boot_40m.bin'
cmd2='esptool.py --chip esp32 -b 115200 write_flash -z 0x1000 /home/pi/zero2/fw/test.bin'
cmd3='esptool.py --chip esp32 -b 115200 erase_flash'
class ExecutorFlushSTDOUT(object):
def __init__(self,timeout=15):
self.process = None
self.process_output = queue.Queue(0)
self.capture_output = threading.Thread(target=self.output_reader)
self.timeout=timeout
self.result=False
self.validator=None
def output_reader(self):
start=time.time()
while self.process.poll() is None and (time.time() - start) < self.timeout:
try:
if not self.process_output.full():
line=self.process.stdout.readline()
if line:
line=line.decode().rstrip("\n")
start=time.time()
self.process_output.put(line)
if self.validator:
if self.validator in line: print("Valid");self.result=True
except:pass
self.process.kill()
return
def start_process(self,cmd_list,callback=None,validator=None,timeout=None):
if timeout: self.timeout=timeout
self.validator=validator
self.process = subprocess.Popen(cmd_list,stdout=subprocess.PIPE,stderr=subprocess.PIPE,shell=True)
self.capture_output.start()
line=None
self.result=False
while self.process.poll() is None:
try:
if not self.process_output.empty():
line = self.process_output.get()
if line:
if callback:callback(line)
#print(line)
line=None
except:pass
error = self.process.returncode
if error:
print("Error Found",str(error))
raise RuntimeError(error)
return self.result
execute = ExecutorFlushSTDOUT()
def liveOUTPUT(line):
print("liveOUTPUT",line)
try:
if "Writing" in line:
line=''.join([n for n in line.split(' ')[3] if n.isdigit()])
print("percent={}".format(line))
except Exception as e:
pass
result=execute.start_process(cmd2,callback=liveOUTPUT,validator="Hash of data verified.")
print("Finish",result)
如果有人想同时使用线程从stdout和stderr读取,这是我想到的:
import threading
import subprocess
import Queue
class AsyncLineReader(threading.Thread):
def __init__(self, fd, outputQueue):
threading.Thread.__init__(self)
assert isinstance(outputQueue, Queue.Queue)
assert callable(fd.readline)
self.fd = fd
self.outputQueue = outputQueue
def run(self):
map(self.outputQueue.put, iter(self.fd.readline, ''))
def eof(self):
return not self.is_alive() and self.outputQueue.empty()
@classmethod
def getForFd(cls, fd, start=True):
queue = Queue.Queue()
reader = cls(fd, queue)
if start:
reader.start()
return reader, queue
process = subprocess.Popen(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
(stdoutReader, stdoutQueue) = AsyncLineReader.getForFd(process.stdout)
(stderrReader, stderrQueue) = AsyncLineReader.getForFd(process.stderr)
# Keep checking queues until there is no more output.
while not stdoutReader.eof() or not stderrReader.eof():
# Process all available lines from the stdout Queue.
while not stdoutQueue.empty():
line = stdoutQueue.get()
print 'Received stdout: ' + repr(line)
# Do stuff with stdout line.
# Process all available lines from the stderr Queue.
while not stderrQueue.empty():
line = stderrQueue.get()
print 'Received stderr: ' + repr(line)
# Do stuff with stderr line.
# Sleep for a short time to avoid excessive CPU use while waiting for data.
sleep(0.05)
print "Waiting for async readers to finish..."
stdoutReader.join()
stderrReader.join()
# Close subprocess' file descriptors.
process.stdout.close()
process.stderr.close()
print "Waiting for process to exit..."
returnCode = process.wait()
if returnCode != 0:
raise subprocess.CalledProcessError(returnCode, command)
我只是想分享这个,因为我在这个问题上试图做类似的事情,但没有一个答案能解决我的问题。希望它能帮助到某些人!
请注意,在我的用例中,外部进程杀死了Popen()所使用的进程。
这个PoC不断地从进程中读取输出,并可以在需要时访问。只有最后一个结果被保留,所有其他输出都被丢弃,因此防止了PIPE的内存不足:
import subprocess
import time
import threading
import Queue
class FlushPipe(object):
def __init__(self):
self.command = ['python', './print_date.py']
self.process = None
self.process_output = Queue.LifoQueue(0)
self.capture_output = threading.Thread(target=self.output_reader)
def output_reader(self):
for line in iter(self.process.stdout.readline, b''):
self.process_output.put_nowait(line)
def start_process(self):
self.process = subprocess.Popen(self.command,
stdout=subprocess.PIPE)
self.capture_output.start()
def get_output_for_processing(self):
line = self.process_output.get()
print ">>>" + line
if __name__ == "__main__":
flush_pipe = FlushPipe()
flush_pipe.start_process()
now = time.time()
while time.time() - now < 10:
flush_pipe.get_output_for_processing()
time.sleep(2.5)
flush_pipe.capture_output.join(timeout=0.001)
flush_pipe.process.kill()
print_date.py
#!/usr/bin/env python
import time
if __name__ == "__main__":
while True:
print str(time.time())
time.sleep(0.01)
输出:你可以清楚地看到只有大约2.5s的输出间隔。
>>>1520535158.51
>>>1520535161.01
>>>1520535163.51
>>>1520535166.01