Don't crash if there are no lane result summary entries when rendering
[htsworkflow.git] / htsworkflow / frontend / samples / views.py
index 2db0f0fd1cd2769cc267c7b717115b5b938bfa1a..d79d0b83976adc49dff287850e1a71a80796d4d0 100644 (file)
@@ -99,16 +99,16 @@ def library_to_flowcells(request, lib_id):
         flowcell_id, id = parse_flowcell_id(fc.flowcell_id)
         if flowcell_id not in interesting_flowcells:
             interesting_flowcells[flowcell_id] = get_flowcell_result_dict(flowcell_id)
-        flowcell_list.append((fc.flowcell_id, lane))
+        flowcell_list.append((fc.flowcell_id, lane.lane_number))
 
     flowcell_list.sort()
     
     lane_summary_list = []
     eland_results = []
-    for fc, lane in flowcell_list:
-        lane_summary, err_list = _summary_stats(fc, lane)
+    for fc, lane_number in flowcell_list:
+        lane_summary, err_list = _summary_stats(fc, lane_number)
 
-        eland_results.extend(_make_eland_results(fc, lane, interesting_flowcells))
+        eland_results.extend(_make_eland_results(fc, lane_number, interesting_flowcells))
         lane_summary_list.extend(lane_summary)
 
     context = {
@@ -249,7 +249,10 @@ def _summary_stats(flowcell_id, lane_id):
                 eland_summary = ResultLane(lane_id=lane_id, end=end)
             # add information to lane_summary
             eland_summary.flowcell_id = flowcell_id
-            eland_summary.clusters = gerald_summary[end][lane_id].cluster
+            if len(gerald_summary) > end and gerald_summary[end].has_key(lane_id):
+                eland_summary.clusters = gerald_summary[end][lane_id].cluster
+            else:
+                eland_summary.clusters = 'n/a'
             eland_summary.cycle_width = cycle_width
             if hasattr(eland_summary, 'genome_map'):
                 eland_summary.summarized_reads = runfolder.summarize_mapped_reads( 
@@ -258,8 +261,9 @@ def _summary_stats(flowcell_id, lane_id):
 
             # grab some more information out of the flowcell db
             flowcell = FlowCell.objects.get(flowcell_id=flowcell_id)
-            pm_field = 'lane_%d_pM' % (lane_id)
-            eland_summary.successful_pm = getattr(flowcell, pm_field)
+            #pm_field = 'lane_%d_pM' % (lane_id)
+            lane_obj = flowcell.lane_set.get(lane_number=lane_id)
+            eland_summary.successful_pm = lane_obj.pM
 
             summary_list.append(eland_summary)