динамическая модель для статистики

statistics/models.py

@@ -1,18 +1,47 @@
-
-
+import math
 from django.db import models
+from django.utils import timezone
 
 from mydefs import MyGenericIPAddressField
+from .fields import UnixDateTimeField
 
 
 class StatElem(models.Model):
-    src_ip = MyGenericIPAddressField()
-    dst_ip = MyGenericIPAddressField()
-    proto = models.PositiveSmallIntegerField(default=0)
-    src_port = models.PositiveIntegerField(default=0)
-    dst_port = models.PositiveIntegerField(default=0)
+    cur_time = UnixDateTimeField(primary_key=True)
+    ip = MyGenericIPAddressField()
     octets = models.PositiveIntegerField(default=0)
     packets = models.PositiveIntegerField(default=0)
 
+    @staticmethod
+    def percentile(N, percent, key=lambda x:x):
+        """
+        Find the percentile of a list of values.
+
+        @parameter N - is a list of values. Note N MUST BE already sorted.
+        @parameter percent - a float value from 0.0 to 1.0.
+        @parameter key - optional key function to compute value from each element of N.
+
+        @return - the percentile of the values
+        """
+        if not N:
+            return None
+        k = (len(N)-1) * percent
+        f = math.floor(k)
+        c = math.ceil(k)
+        if f == c:
+            return key(N[int(k)])
+        d0 = key(N[int(f)]) * (c-k)
+        d1 = key(N[int(c)]) * (k-f)
+        return d0+d1
+
     class Meta:
-        db_table = 'flowstat'
+        abstract = True
+
+
+def getModel():
+
+    class DynamicStatElem(StatElem):
+        class Meta:
+            db_table = 'flowstat_%s' % timezone.now().strftime("%d%m%Y")
+            abstract = False
+    return DynamicStatElem