Issue 395 - Filter hits statistics backend

sitescripts/filterhits/test/geometrical_mean_tests.py

Index: sitescripts/filterhits/test/geometrical_mean_tests.py
diff --git a/sitescripts/filterhits/test/geometrical_mean_tests.py b/sitescripts/filterhits/test/geometrical_mean_tests.py
new file mode 100644
index 0000000000000000000000000000000000000000..fcbf61b382c801ecafcbdcaa3d65c7b76a902abe
--- /dev/null
+++ b/sitescripts/filterhits/test/geometrical_mean_tests.py
@@ -0,0 +1,190 @@
+# coding: utf-8
+
+# This file is part of the Adblock Plus web scripts,
+# Copyright (C) 2006-2015 Eyeo GmbH
+#
+# Adblock Plus is free software: you can redistribute it and/or modify
+# it under the terms of the GNU General Public License version 3 as
+# published by the Free Software Foundation.
+#
+# Adblock Plus is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with Adblock Plus.  If not, see <http://www.gnu.org/licenses/>.
+
+import unittest
+import MySQLdb
+from datetime import datetime
+
+from sitescripts.filterhits.test import test_helpers
+from sitescripts.filterhits import db, geometrical_mean
+
+test_data =  [{
+  "filters": {
+    "##.top-box-right-ad": {
+      "firstParty": {
+        "acxiom-online.com": { "hits": 6, "latest": 1414817340948 },
+        "google.com": { "hits": 50, "latest": 1414849084678 },
+        "yahoo.com": { "hits": 14, "latest": 1414859271125 },
+        "doubleclick.net": { "hits": 26, "latest": 1414823430333 }
+      },
+      "thirdParty": {
+        "demdex.net": { "hits": 36, "latest": 1414838712373 }
+      }
+    }
+  }
+}, {
+  "filters": {
+    "##.top-box-right-ad": {
+      "thirdParty": {
+        "adsymptotic.com": { "hits": 49, "latest": 1414953943015 },
+        "amazon.com": { "hits": 2, "latest": 1414913563746 },
+        "live.com": { "hits": 34, "latest": 1414916268769 },
+        "google.com": { "hits": 21, "latest": 1414953920364 },
+        "yahoo.com": { "hits": 27, "latest": 1414917270343 }
+      }
+    }
+  }
+}, {
+  "filters": {
+    "##.top-box-right-ad": {
+      "firstParty": {
+        "google.com": { "hits": 14, "latest": 1415008533089 },
+        "adsymptotic.com": { "hits": 15, "latest": 1414994112862 }
+      },
+      "thirdParty": {
+        "yahoo.com": { "hits": 43, "latest": 1415045194098 }
+      }
+    },
+    "stevedeace.com##.topAddHolder": {
+      "firstParty": {
+        "mathtag.com": { "hits": 14, "latest": 1415032601175 },
+        "amazonaws.com": { "hits": 18, "latest": 1414977342966 }
+      }
+    }
+  }
+}]
+
+class GeometricalMeanTestCase(unittest.TestCase):
+  longMessage = True
+  maxDiff = None
+
+  def geometrical(self, interval, new, new_timestamp, old, old_timestamp):
+    delta_divby_interval = (new_timestamp - old_timestamp) / 1000 / float(interval)
+    return long(round(old ** (1 - delta_divby_interval) * new ** delta_divby_interval))
+
+  def clear_rows(self):
+    if self.db:
+      db.write(self.db, (("DELETE FROM frequencies",),
+                         ("DELETE FROM filters",)))
+
+  def setUp(self):
+    self.config = test_helpers.setup_config()
+    try:
+      self.db = db.connect()
+    except MySQLdb.Error:
+      self.db = None
+    self.clear_rows()
+
+  def tearDown(self):
+    test_helpers.restore_config()
+    if self.db:
+      self.clear_rows()
+      self.db.close()
+      self.db = None
+
+  def test_calculations(self):
+    if not self.db:
+      raise unittest.SkipTest("Not connected to test DB.")
+
+    interval = 86400
+
+    # Tables should be empty to start with
+    self.assertEqual(db.query(self.db, "SELECT * FROM filters"), ())
+    self.assertEqual(db.query(self.db, "SELECT * FROM frequencies"), ())
+    # First batch
+    db.write(self.db, geometrical_mean.update(interval, test_data[0]))
+    self.assertEqual(db.query(self.db, "SELECT * FROM filters"),
+                     (("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"),
+                       u"##.top-box-right-ad"),))
+    self.assertEqual(
+      db.query(self.db, "SELECT * FROM frequencies"),
+      (("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"acxiom-online.com",
+        6L, datetime.utcfromtimestamp(1414817340948 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"demdex.net",
+        36L, datetime.utcfromtimestamp(1414838712373 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"doubleclick.net",
+        26L, datetime.utcfromtimestamp(1414823430333 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"google.com",
+        50L, datetime.utcfromtimestamp(1414849084678 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"yahoo.com",
+        14L, datetime.utcfromtimestamp(1414859271125 / 1000))))
+    # Second batch
+    db.write(self.db, geometrical_mean.update(interval, test_data[1]))
+    self.assertEqual(db.query(self.db, "SELECT * FROM filters"),
+                     (("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"),
+                       u"##.top-box-right-ad"),))
+    self.assertEqual(
+      db.query(self.db, "SELECT * FROM frequencies"),
+      (("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"acxiom-online.com",
+        6L, datetime.utcfromtimestamp(1414817340948 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"adsymptotic.com",
+        49L, datetime.utcfromtimestamp(1414953943015 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"amazon.com",
+        2L, datetime.utcfromtimestamp(1414913563746 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"demdex.net",
+        36L, datetime.utcfromtimestamp(1414838712373 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"doubleclick.net",
+        26L, datetime.utcfromtimestamp(1414823430333 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"google.com",
+        self.geometrical(interval, 21, 1414953920364, 50, 1414849084678),
+        datetime.utcfromtimestamp(1414953920364 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"live.com",
+        34L, datetime.utcfromtimestamp(1414916268769 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"yahoo.com",
+        self.geometrical(interval, 27, 1414917270343, 14, 1414859271125),
+        datetime.utcfromtimestamp(1414917270343 / 1000))))
+    # Third batch
+    db.write(self.db, geometrical_mean.update(interval, test_data[2]))
+    self.assertEqual(db.query(self.db, "SELECT * FROM filters"),
+                     (("22de8d2ba8429eb170a0ece6ea7a426f7b22e574".decode("hex"),
+                       u"stevedeace.com##.topAddHolder"),
+                      ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"),
+                       u"##.top-box-right-ad")))
+    self.assertEqual(
+      db.query(self.db, "SELECT * FROM frequencies"),
+      (("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"acxiom-online.com",
+        6L, datetime.utcfromtimestamp(1414817340948 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"adsymptotic.com",
+        self.geometrical(interval, 15, 1414994112862, 49, 1414953943015),
+        datetime.utcfromtimestamp(1414994112862 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"amazon.com",
+        2L, datetime.utcfromtimestamp(1414913563746 / 1000)),
+       ("22de8d2ba8429eb170a0ece6ea7a426f7b22e574".decode("hex"), u'amazonaws.com',
+        18L, datetime.utcfromtimestamp(1414977342966 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"demdex.net",
+        36L, datetime.utcfromtimestamp(1414838712373 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"doubleclick.net",
+        26L, datetime.utcfromtimestamp(1414823430333 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"google.com",
+        self.geometrical(interval, 14, 1415008533089,
+                         self.geometrical(interval, 21, 1414953920364,
+                                          50, 1414849084678),
+                         1414953920364),
+        datetime.utcfromtimestamp(1415008533089 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"live.com",
+        34L, datetime.utcfromtimestamp(1414916268769 / 1000)),
+       ("22de8d2ba8429eb170a0ece6ea7a426f7b22e574".decode("hex"), u'mathtag.com',
+        14L, datetime.utcfromtimestamp(1415032601175 / 1000)),
+       ("8c5ea548436c61f05536e205a29ada6204f603b0".decode("hex"), u"yahoo.com",
+        self.geometrical(interval, 43, 1415045194098,
+                         self.geometrical(interval, 27, 1414917270343,
+                                          14, 1414859271125),
+                         1414917270343),
+        datetime.utcfromtimestamp(1415045194098 / 1000))))
+
+if __name__ == '__main__':
+  unittest.main()