compensate possible offset mistmatch. Do not hide errors.

bt5/erp5_wendelin/ExtensionTemplateItem/portal_components/extension.erp5.Wendelin.py

@@ -8,23 +8,37 @@ import numpy as np
 def DataStream_copyCSVToDataArray(self, chunk_list, start, end, \
                                   data_array_reference=None):
   """
-    Recieve CSV data and transform it to a numpy array of int.
+    Receive CSV data and transform it to a numpy array of floats.
   """
   chunk_text = ''.join(chunk_list)
-  data_array = self.portal_catalog.getResultValue( \
-                      portal_type='Data Array', \
-                      reference = data_array_reference, \
-                      validation_state = 'validated')
+  
+  # compensate possible offset mistmatch
+  last_new_line_index = chunk_text.rfind('\n')
+  offset_mismatch = len(chunk_text) - last_new_line_index -1
+  start = start - offset_mismatch
+  end = end - offset_mismatch
+  #self.log('%s %s %s' %(len(chunk_list), chunk_text.rfind('\n'), chunk_list))
+  
+  # remove offset line which is to be processed next call
+  chunk_text = chunk_text[:len(chunk_text) - offset_mismatch - 1]
+  
+  # process left data
   line_list = chunk_text.split('\n')
   size_list = []
   for line in line_list:
     line_item_list = line.split(',')
-    size_list.extend([x.strip() for x in line_item_list])
+    size_list.extend([x for x in line_item_list])
+
+  self.log(size_list)
 
   # save this value as a numpy array (for testing, only create ZBigArray for one variable)
-  size_list = [float(x) for x in size_list if x not in ('',)]
+  size_list = [float(x) for x in size_list]
   ndarray = np.array(size_list)
 
+  data_array = self.portal_catalog.getResultValue( \
+                      portal_type='Data Array', \
+                      reference = data_array_reference, \
+                      validation_state = 'validated')
   zarray = data_array.getArray()
   if zarray is None:
     # first time init

bt5/erp5_wendelin/TestTemplateItem/portal_components/test.erp5.testWendelin.py

@@ -50,7 +50,7 @@ class Test(ERP5TypeTestCase):
     """
     # here, you can create the categories and objects your test will depend on
     pass
-
+  
   def test_0_import(self): 		 
     """ 		 
     Test we can import certain libraries but still failure to do so should be a  		 
@@ -71,15 +71,10 @@ class Test(ERP5TypeTestCase):
     
     # simulate fluentd by setting proper values in REQUEST
     reference = getRandomString()
-    request.method = 'POST'
     number_string = ','.join([str(x) for x in range(11)])
     number_string_list = [number_string]*10000
     real_data = '\n'.join(number_string_list)
 
-    data_chunk = msgpack.packb([0, real_data], use_bin_type=True)
-    request.set('reference', reference)
-    request.set('data_chunk', data_chunk)
-    
     # create ingestion policy
     ingestion_policy = portal.portal_ingestion_policies.newContent( \
       portal_type ='Ingestion Policy',
@@ -115,6 +110,10 @@ class Test(ERP5TypeTestCase):
     self.tic()
     
     # do real ingestion call
+    request.method = 'POST'
+    data_chunk = msgpack.packb([0, real_data], use_bin_type=True)
+    request.set('reference', reference)
+    request.set('data_chunk', data_chunk)
     ingestion_policy.ingest()
     
     # ingestion handler script saves new data using new line so we 
@@ -123,8 +122,7 @@ class Test(ERP5TypeTestCase):
     self.assertEqual(real_data, data_stream_data)
     
     # try sample transformation
-    reference = 'test-data-array- %s' %getRandomString()
-    
+    reference = 'test-data-array- %s' %reference
     data_array = portal.data_array_module.newContent(
                                             portal_type='Data Array',
                                             reference = reference,
@@ -133,16 +131,19 @@ class Test(ERP5TypeTestCase):
     self.tic()
     
     data_stream.DataStream_transform(\
-        chunk_length = 5001, \
+        chunk_length = 52001, \
         transform_script_id = 'DataStream_copyCSVToDataArray',
         data_array_reference = reference)
+
     self.tic()
     
     # test some numpy operations
     zarray = data_array.getArray()
     np.average(zarray)
+    
     # XXX: test that extracted array is same as input one
     self.assertNotEqual(None, zarray)
+    #self.assertEqual(1, zarray.shape)
     
   def test_02_Examples(self):
     """

bt5/erp5_wendelin/TestTemplateItem/portal_components/test.erp5.testWendelin.xml

@@ -50,7 +50,7 @@
                 <string>W: 59,  4: Unused variable \'scipy\' (unused-variable)</string>
                 <string>W: 61,  4: Unused variable \'pandas\' (unused-variable)</string>
                 <string>W: 60,  4: Unused variable \'sklearn\' (unused-variable)</string>
-                <string>W:112,  4: Unused variable \'data_supply\' (unused-variable)</string>
+                <string>W:107,  4: Unused variable \'data_supply\' (unused-variable)</string>
               </tuple>
             </value>
         </item>