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mp.py
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197 lines (156 loc) · 6.69 KB
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import multiprocessing
from http.server import HTTPServer, BaseHTTPRequestHandler
from functools import wraps
import traceback
def catch_exception(func):
@wraps(func)
def wrapper(*args, **kwargs):
try:
data = func(*args, **kwargs)
return { 'status': True, 'data': data, 'error': None, 'stack_trace': None }
except Exception as e:
stack_trace = traceback.format_exc()
return { 'status': False, 'data': None, 'error': e, 'stack_trace': stack_trace }
return wrapper
class CounterHandler(BaseHTTPRequestHandler):
def __init__(self, counters, *args, **kwargs):
self.counters = counters
super().__init__(*args, **kwargs)
# don't want to have incoming requests logged to screen, add your logging here, if you need that
def log_message(self, format, *args):
pass
def do_GET(self):
self.send_response(200)
self.send_header("Content-type", "text/plain")
self.end_headers()
#self.wfile.write("Hello world!".encode())
self.wfile.write(self.counters.get_report().encode())
#self.wfile.write("Hello world!".encode())
def run_server(counters):
# Use a lambda to pass our shared objects into the handler's __init__
def handler(*args, **kwargs):
return CounterHandler(counters, *args, **kwargs)
server = HTTPServer(('localhost', counters.get_port()), handler)
server.serve_forever()
def init_reporting_server(counters):
server_proc = multiprocessing.Process(target=run_server, args=(counters,))
#server_proc.daemon = True # This makes it a "background" process
server_proc.start()
return server_proc
class Counters:
def __init__(self, http_port):
self.tasks_counter_lock = None
self.complete_tasks_duration_sum = None
self.complete_tasks_counter = None
self.crashed_tasks_counter = None
self.posted_requests = None
self.active_workers = None
self.min_task_duration = None
self.max_task_duration = None
self.error_list = None
self.report_port = http_port
def create(self, manager):
# changed from worker processes
self.tasks_counter_lock = manager.Lock()
self.complete_tasks_duration_sum = manager.Value('i', 0)
self.complete_tasks_counter = manager.Value('i', 0)
self.crashed_tasks_counter = manager.Value('i', 0)
self.active_workers = manager.Value('i', 0)
self.posted_requests = manager.Value('i', 0)
self.min_task_duration = manager.Value('i', -1)
self.max_task_duration = manager.Value('i', 0)
self.error_list = manager.list()
def add_posted_requests(self, to_add):
with self.tasks_counter_lock:
self.posted_requests.value += to_add
def inc_completed(self, task_duration, res):
with self.tasks_counter_lock:
self.complete_tasks_counter.value += 1
self.complete_tasks_duration_sum.value += int(task_duration)
if self.min_task_duration.value == -1:
self.min_task_duration.value = task_duration
else:
self.min_task_duration.value = min(task_duration, self.min_task_duration.value)
status = res.get('status')
if status is not None and status is False:
self.crashed_tasks_counter.value = self.crashed_tasks_counter.value + 1
stack = res.get('stack_trace')
if stack:
self.error_list.append(stack)
self.max_task_duration.value = max(task_duration, self.max_task_duration.value)
def set_workers(self, num):
with self.tasks_counter_lock:
self.active_workers.value = num
def dec_workers(self):
with self.tasks_counter_lock:
self.active_workers.value -= 1
def get_counters(self):
ret = {}
with self.tasks_counter_lock:
ret= {
'active_workers': self.active_workers.value,
'posted_requests': self.posted_requests.value,
'completed_tasks': self.complete_tasks_counter.value,
'crashed_tasks': self.crashed_tasks_counter.value,
'complete_tasks_duration_sum': self.complete_tasks_duration_sum.value,
'min_task_duration': self.min_task_duration.value,
'max_task_duration': self.max_task_duration.value,
'error_list' : "\n\n".join(self.error_list)
}
return ret
def get_report(self):
processed = self.get_counters()
workers = processed['active_workers']
num_reqs = processed['posted_requests']
c_tasks = processed['completed_tasks']
crash_tasks = processed['crashed_tasks']
c_tasks_dur = processed['complete_tasks_duration_sum']
min_task_duration = processed['min_task_duration']
max_task_duration = processed['max_task_duration']
error_text = processed['error_list']
avg_dur = 0
min_dur = 0
max_dur = 0
if num_reqs != 0:
avg_dur = c_tasks_dur // num_reqs
min_dur = min_task_duration
max_dur = max_task_duration
msg = f"""
Active workers: {workers}
Requests submitted: {num_reqs}
Processed requests: {c_tasks}
Crashed requests: {crash_tasks} (out of Processed requests)
Average task duration: {avg_dur} ms
Minimum task duration: {min_dur} ms
Maximum task duration: {max_dur} ms
{error_text}
"""
return msg
def get_port(self):
return self.report_port
class MultiprocessingHelper:
def __init__(self, num_process, process_cb, http_port, manager):
self.num_processes = num_process
self.processes = []
self.counters = Counters(http_port)
self.counters.create(manager)
self.http_worker = init_reporting_server(self.counters)
self.q = multiprocessing.JoinableQueue()
for i in range(self.num_processes):
p = multiprocessing.Process(target=process_cb, args=(self.q,self.counters,))
p.start()
self.processes.append(p)
self.counters.set_workers(self.num_processes)
def post(self, task):
self.q.put(task)
self.counters.add_posted_requests(1)
def finish(self):
for _ in range(self.num_processes):
self.q.put(None)
self.q.join()
print("Main process - all posted tasks done")
for p in self.processes:
p.join()
self.http_worker.terminate()
print("Main process - all workers finished\nReport:")
print(self.counters.get_report())