Move sample data from simulate_runfolder into testdata
[htsworkflow.git] / htsworkflow / pipelines / test / test_runfolder_ipar130.py
index 77f7f90d052dee679e2ed24dcf4b03a638950d24..23e5e9dd7c9a8c9ffebf44e9a135ae732cf75ea7 100644 (file)
@@ -39,7 +39,7 @@ def make_runfolder(obj=None):
     gerald_dir = os.path.join(bustard_dir,
                               'GERALD_15-03-2008_diane')
     os.mkdir(gerald_dir)
-    make_gerald_config(gerald_dir)
+    make_gerald_config_100(gerald_dir)
     make_summary_ipar130_htm(gerald_dir)
     make_eland_multi(gerald_dir)
 
@@ -114,8 +114,8 @@ class RunfolderTests(unittest.TestCase):
         g = gerald.gerald(self.gerald_dir)
 
         self.failUnlessEqual(g.version,
-            '@(#) Id: GERALD.pl,v 1.68.2.2 2007/06/13 11:08:49 km Exp')
-        self.failUnlessEqual(g.date, datetime(2008,4,19,19,8,30))
+            '@(#) Id: GERALD.pl,v 1.171 2008/05/19 17:36:14 mzerara Exp')
+        self.failUnlessEqual(g.date, datetime(2009,2,22,21,15,59))
         self.failUnlessEqual(len(g.lanes), len(g.lanes.keys()))
         self.failUnlessEqual(len(g.lanes), len(g.lanes.items()))
 
@@ -124,22 +124,29 @@ class RunfolderTests(unittest.TestCase):
         # make_gerald_config.
         # the first None is to offset the genomes list to be 1..9
         # instead of pythons default 0..8
-        genomes = [None, '/g/dm3', '/g/equcab1', '/g/equcab1', '/g/canfam2',
-                         '/g/hg18', '/g/hg18', '/g/hg18', '/g/hg18', ]
+        genomes = [None, 
+                   '/g/mm9', 
+                   '/g/mm9', 
+                   '/g/elegans190', 
+                   '/g/arabidopsis01222004',
+                   '/g/mm9', 
+                   '/g/mm9', 
+                   '/g/mm9', 
+                   '/g/mm9', ]
 
         # test lane specific parameters from gerald config file
         for i in range(1,9):
             cur_lane = g.lanes[i]
-            self.failUnlessEqual(cur_lane.analysis, 'eland')
+            self.failUnlessEqual(cur_lane.analysis, 'eland_extended')
             self.failUnlessEqual(cur_lane.eland_genome, genomes[i])
-            self.failUnlessEqual(cur_lane.read_length, '32')
-            self.failUnlessEqual(cur_lane.use_bases, 'Y'*32)
+            self.failUnlessEqual(cur_lane.read_length, '37')
+            self.failUnlessEqual(cur_lane.use_bases, 'Y'*37)
 
         # I want to be able to use a simple iterator
         for l in g.lanes.values():
-          self.failUnlessEqual(l.analysis, 'eland')
-          self.failUnlessEqual(l.read_length, '32')
-          self.failUnlessEqual(l.use_bases, 'Y'*32)
+          self.failUnlessEqual(l.analysis, 'eland_extended')
+          self.failUnlessEqual(l.read_length, '37')
+          self.failUnlessEqual(l.use_bases, 'Y'*37)
 
         # test data extracted from summary file
         clusters = [None,