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From jo...@apache.org
Subject svn commit: r1522024 - /incubator/climate/trunk/ocw/tests/test_dataset_processor.py
Date Wed, 11 Sep 2013 20:26:17 GMT
Author: joyce
Date: Wed Sep 11 20:26:17 2013
New Revision: 1522024

URL: http://svn.apache.org/r1522024
Log:
CLIMATE-293 - Add tests for datetime normalization code

- Add tests for datetime normalization.
- Add helpers for creating monthly and daily time values that don't fall
  on the expected values.

Modified:
    incubator/climate/trunk/ocw/tests/test_dataset_processor.py

Modified: incubator/climate/trunk/ocw/tests/test_dataset_processor.py
URL: http://svn.apache.org/viewvc/incubator/climate/trunk/ocw/tests/test_dataset_processor.py?rev=1522024&r1=1522023&r2=1522024&view=diff
==============================================================================
--- incubator/climate/trunk/ocw/tests/test_dataset_processor.py (original)
+++ incubator/climate/trunk/ocw/tests/test_dataset_processor.py Wed Sep 11 20:26:17 2013
@@ -2,7 +2,7 @@
 #  Licensed to the Apache Software Foundation (ASF) under one or more
 #  contributor license agreements.  See the NOTICE file distributed with
 #  this work for additional information regarding copyright ownership.
-#  The ASF licenses this file to You under the Apache License, Version 2.0
+#  The ASF licenses this file to You under the Apache License, Version 2.0 
 #  (the "License"); you may not use this file except in compliance with
 #  the License.  You may obtain a copy of the License at
 #
@@ -145,6 +145,23 @@ class TestSpatialRegrid(unittest.TestCas
         expected_data_shape = (len(self.input_dataset.times), len(self.new_lats), len(self.new_lons))
         self.assertSequenceEqual(regridded_data_shape, expected_data_shape)
 
+class TestNormalizeDatasetDatetimes(unittest.TestCase):
+    def setUp(self):
+        self.monthly_dataset = ten_year_monthly_15th_dataset()
+        self.daily_dataset = two_year_daily_2hr_dataset()
+
+    def test_daily(self):
+        new_ds = dp.normalize_dataset_datetimes(self.monthly_dataset, 'daily')
+
+        # Check that all the days have been shifted to the first of the month
+        self.assertTrue(all(x.hour == 0 for x in new_ds.times))
+
+    def test_montly(self):
+        new_ds = dp.normalize_dataset_datetimes(self.monthly_dataset, 'monthly')
+
+        # Check that all the days have been shifted to the first of the month
+        self.assertTrue(all(x.day == 1 for x in new_ds.times))
+
 class TestSubset(unittest.TestCase):
     def setUp(self):
         self.target_dataset = ten_year_monthly_dataset()
@@ -218,6 +235,15 @@ def ten_year_monthly_dataset():
     input_dataset = ds.Dataset(lats, lons, times, values, variable="test variable name")
     return input_dataset
 
+def ten_year_monthly_15th_dataset():
+    lats = np.array(range(-89, 90, 2))
+    lons = np.array(range(-179, 180, 2))
+    # Ten Years of monthly data
+    times = np.array([datetime.datetime(year, month, 15) for year in range(2000, 2010) for
month in range(1, 13)])
+    values = np.ones([len(times), len(lats), len(lons)])
+    input_dataset = ds.Dataset(lats, lons, times, values, variable="test variable name")
+    return input_dataset
+
 def two_year_daily_dataset():
     lats = np.array(range(-89, 90, 2))
     lons = np.array(range(-179, 180, 2))
@@ -226,6 +252,14 @@ def two_year_daily_dataset():
     dataset = ds.Dataset(lats, lons, times, values, variable='random data')
     return dataset    
 
+def two_year_daily_2hr_dataset():
+    lats = np.array(range(-89, 90, 2))
+    lons = np.array(range(-179, 180, 2))
+    times = np.array([datetime.datetime(2001, 1, 1) + datetime.timedelta(days=d, hours=2)
for d in range(730)])
+    values = np.ones([len(times), len(lats), len(lons)])
+    dataset = ds.Dataset(lats, lons, times, values, variable='random data')
+    return dataset    
+
 def build_ten_cube_dataset(value):
     lats = np.array(range(-89, 90, 18))
     lons = np.array(range(-179, 180, 36))



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