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31
Python/soure/DefaultIdGenerator.py
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31
Python/soure/DefaultIdGenerator.py
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import time
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import traceback
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from IdGeneratorOptions import IdGeneratorOptions
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from SnowFlake import SnowFlake
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from SnowFlakeM1 import SnowFlakeM1
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class DefaultIdGenerator(object):
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def SetIdGernerator(self, options) :
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if options.BaseTime < 100000 :
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raise ValueError ("BaseTime error.")
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self.SnowFlake= SnowFlakeM1(options)
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def NextId(self):
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return self.SnowFlake.NextId()
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if __name__ == '__main__':
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try:
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options = IdGeneratorOptions(23)
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options.BaseTime = 1231111111
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idgen = DefaultIdGenerator()
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idgen.SetIdGernerator(options)
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print (idgen.NextId())
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print (options.__dict__)
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except ValueError as e:
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print(e)
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30
Python/soure/IdGeneratorOptions.py
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30
Python/soure/IdGeneratorOptions.py
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import time
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class IdGeneratorOptions(object):
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def __init__(self, workerId = 0, workerIdBitLength = 6, seqBitLength = 6):
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# 雪花计算方法,(1-漂移算法|2-传统算法),默认1。目前只实现了1。
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self.Method = 1
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# 基础时间(ms单位),不能超过当前系统时间
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self.BaseTime = 1288834974657
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# 机器码,必须由外部设定,最大值 2^WorkerIdBitLength-1
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self.WorkerId = workerId
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# 机器码位长,默认值6,取值范围 [1, 15](要求:序列数位长+机器码位长不超过22)
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self.WorkerIdBitLength = workerIdBitLength
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# 序列数位长,默认值6,取值范围 [3, 21](要求:序列数位长+机器码位长不超过22)
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self.SeqBitLength = seqBitLength
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# 最大序列数(含),设置范围 [MinSeqNumber, 2^SeqBitLength-1],默认值0,表示最大序列数取最大值(2^SeqBitLength-1])
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self.MaxSeqNumber = 0
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# 最小序列数(含),默认值5,取值范围 [5, MaxSeqNumber],每毫秒的前5个序列数对应编号0-4是保留位,其中1-4是时间回拨相应预留位,0是手工新值预留位
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self.MinSeqNumber = 5
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# 最大漂移次数(含),默认2000,推荐范围500-10000(与计算能力有关)
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self.TopOverCostCount = 2000
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11
Python/soure/SnowFlake.py
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11
Python/soure/SnowFlake.py
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#!/usr/bin/python
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# coding=UTF-8
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# 组件编号生成器
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class SnowFlake(object):
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def __init__(self, options):
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self.Options = options
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def NextId(self):
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return 0
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12
Python/soure/SnowFlakeM1.py
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12
Python/soure/SnowFlakeM1.py
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#!/usr/bin/python
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# coding=UTF-8
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from SnowFlake import SnowFlake
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# 组件编号生成器
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class SnowFlakeM1(SnowFlake):
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def __init__(self, options):
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self.Options = options
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def NextId(self):
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return self.Options.WorkerId
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