Ref #160 Generating learning dataset - sorting threads stack trace depth

Signed-off-by: Krzysztof Kaźmierczyk <kazm@ibm.com>
Signed-off-by: Piotr Anioła <piotr.aniola@ibm.com>

Author: kkazmierczyk

src/javacore_analyser/ai/csv_dataset_generator.py

@@ -31,7 +31,7 @@ def main(input_files):
                 stack_trace = stack_trace.to_string().replace("\n", " ").replace("\r", " ")
             data.append({'name': name, 'cpu_usage': cpu_usage, 'allocated_mem': allocated_mem, 'state': state,
                          'blocking_threads': blocking_threads, 'stack_trace': stack_trace})
-    data.sort(key = lambda thread : thread['name'])
+    data.sort(key = lambda thread : len(thread['stack_trace']), reverse=True)
     pd.DataFrame.from_records(data).to_csv('data.csv', index=False)
 
     # Check if we can load data