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62 lines
1.7 KiB
62 lines
1.7 KiB
import math
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from datetime import datetime, timedelta
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from django.db import models
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from django.utils import timezone
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from mydefs import MyGenericIPAddressField
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from .fields import UnixDateTimeField
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class StatManager(models.Manager):
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def traffic_by_ip(self, ip):
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# ip = IPv4Address(ip)
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traf = self.filter(ip=ip, octets__gt=524288)[0]
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now = datetime.now()
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if traf.cur_time < now - timedelta(minutes=5):
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# значит трафа небыло больше 5 минут
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return False, traf
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else:
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return True, traf
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class StatElem(models.Model):
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cur_time = UnixDateTimeField(primary_key=True)
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ip = MyGenericIPAddressField()
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octets = models.PositiveIntegerField(default=0)
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packets = models.PositiveIntegerField(default=0)
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objects = StatManager()
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@staticmethod
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def percentile(N, percent, key=lambda x:x):
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"""
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Find the percentile of a list of values.
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@parameter N - is a list of values. Note N MUST BE already sorted.
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@parameter percent - a float value from 0.0 to 1.0.
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@parameter key - optional key function to compute value from each element of N.
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@return - the percentile of the values
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"""
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if not N:
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return None
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k = (len(N)-1) * percent
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f = math.floor(k)
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c = math.ceil(k)
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if f == c:
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return key(N[int(k)])
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d0 = key(N[int(f)]) * (c-k)
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d1 = key(N[int(c)]) * (k-f)
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return d0+d1
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class Meta:
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abstract = True
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def getModel():
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class DynamicStatElem(StatElem):
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class Meta:
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db_table = 'flowstat_%s' % timezone.now().strftime("%d%m%Y")
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abstract = False
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return DynamicStatElem
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