Bdd-io-feature

features/feature-io-api.feature

@@ -0,0 +1,25 @@
+Feature: Simple and intuitive scene loading
+
+    The scientific user explores the data and prototypes new algorithms. 
+    It needs access not only to the calibrated data,
+    but also to the raw data and probably a majority of the metadata. 
+    The user would work with data locally, and it has to be easy to tell mpop2 where the data is. 
+    Providing filename templates or editing config file before starting working is a pain, so it should be avoided.
+
+    To load the data should be a simple 1-step procedure. 
+    At load time, the user provides the data and metadata he/she needs, 
+    and if some items are unavailable/unaccessible, 
+    the user should be informed in a gentle but clear way (ie. no crash). 
+    The data and metadata available from the file have to be explorable, 
+    so that the user don’t need to guess what the (meta)data is called.
+
+    Scenario: 1-step data loading
+        Given data is available
+        When user loads the data without providing a config file
+        Then scene is returned
+
+    Scenario: No crash when metadata is missing
+        Given data is available
+        When user loads the data without providing a config file
+        And some items are no available
+        Then scene is returned

features/steps/steps-io-api.py

@@ -0,0 +1,16 @@
+@given(u'data is available')
+def step_impl(context):
+    assert False
+
+@when(u'user loads the data without providing a config file')
+def step_impl(context):
+    assert False
+
+@then(u'scene is returned')
+def step_impl(context):
+    assert False
+
+@when(u'some items are no available')
+def step_impl(context):
+    assert False
+

setup.py

@@ -69,7 +69,8 @@
                     os.path.join('etc', 'eps_avhrrl1b_6.5.xml')])],
       zip_safe=False,
       install_requires=requires,
-      test_requires=["mock"],
+      test_requires=["mock",
+                     'behave'],
       extras_require={'xRIT': ['mipp >= 0.6.0'],
                       'hdf_eos': ['pyhdf'],
                       'viirs': ['h5py'],