Charting with flask, rgraph and custom "timeseries database"

1 files changed, 50 insertions, 0 deletions

diff --git a/schall/lib/timeseries/tests/testDBSimple.py b/schall/lib/timeseries/tests/testDBSimple.py
new file mode 100644
index 0000000..b1f7630
--- /dev/null
+++ b/schall/lib/timeseries/tests/testDBSimple.py
@@ -0,0 +1,50 @@
+import os
+import random
+import tempfile
+import logging
+import unittest
+
+import timeseries
+
+
+class TestDB(unittest.TestCase):
+    def setUp(self):
+        logging.basicConfig(level=logging.INFO)
+        self.tempdir = tempfile.mkdtemp()
+        self.db = timeseries.DBSimpleInt(timeseries.C.INT_MIN,
+                timeseries.C.INT_DAY,
+                self.tempdir, "t-dbsimple")
+
+    def tearDown(self):
+        self.db.close()
+        for path in os.listdir(self.tempdir):
+            os.remove(os.path.join(self.tempdir, path))
+        os.rmdir(self.tempdir)
+ 
+class TestEmptyDB(TestDB):
+    def testEmptyDB(self):
+        start=0
+        end=timeseries.C.INT_DAY
+
+        self.assertEqual(self.db[start], 0)
+        self.assertEqual(len(os.listdir(self.tempdir)), 1)
+
+        self.assertEqual(self.db[end-1], 0)
+        self.assertEqual(len(os.listdir(self.tempdir)), 1)
+
+        self.assertEqual(self.db[end], 0)
+        self.assertEqual(len(os.listdir(self.tempdir)), 2)
+
+class TestRandomValues(TestDB):
+    def testRandomValues(self):
+        values={}
+        for i in range(0,100):
+            key = random.randint(0, timeseries.time_ms())
+            value = random.randint(-2147483648, 2147483647)
+            values[key] = value
+            self.db[key] = value
+
+        keys = values.keys()
+        random.shuffle(keys)
+        for key in keys:
+            self.assertEqual( self.db[key], values[key] )