69 lines
2.3 KiB
Python
69 lines
2.3 KiB
Python
# coding:utf-8
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import time
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from multiprocessing import Process
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from settings import settings
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from v2 import *
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from v2.struct_cache import StructCacheFile, StructCacheRedis
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class XProcess(Process):
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def __init__(self, partition, lock, ipsearch, log, rdb=None, event_attr=None):
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super(XProcess, self).__init__()
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self.daemon = True
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self.partition = partition
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self.lock = lock
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self.ipsearch = ipsearch
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self.rdb = rdb
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self.log = log
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self.event_attr = event_attr
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def run(self):
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db_client = CK(**settings.CK_CONFIG)
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sketch = Sketch(db_client, StructCacheRedis(self.rdb))
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handler_event = HandlerEvent(db_client, settings.GAME, self.ipsearch)
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handler_user = HandlerUser(db_client, settings.GAME)
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transmitter = Transmitter(db_client, settings.GAME, sketch, self.log, self.lock, self.event_attr,
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self.partition)
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transmitter.add_source(handler_event, 5000, 60)
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transmitter.add_source(handler_user, 500, 60)
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last_ts = int(time.time())
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consumer, kafka_client = create_consumer(self.partition)
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for topic, msg in consumer():
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# print(msg)
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type_ = msg['#type']
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del msg['#type']
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ts = int(time.time())
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if 'user' in type_:
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# continue
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obj = getattr(handler_user, type_)
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handler_user.receive_data.append(UserAct(obj, msg))
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if len(handler_user.receive_data) >= 1000 or last_ts + 60 < ts:
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last_ts = ts
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handler_user.execute()
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elif 'track' in type_:
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# continue
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obj = getattr(handler_event, type_)
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obj(msg)
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elif type_ == settings.STOP_SIGNAL:
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# 1 小时内有效
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if msg.get('#time', 0) + 3600 < int(time.time()):
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continue
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kafka_client.close()
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# 停止消费kafka
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print(f'进程{self.partition} 等待90秒')
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time.sleep(90)
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print(f'进程{self.partition} 写入数据')
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transmitter.run()
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print(f'进程{self.partition} 结束')
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break
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else:
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continue
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transmitter.run()
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