Fix: running scripts

xlab-uiuc · Jun 20, 2023 · 61eead1 · 61eead1
1 parent 31b1e42
commit 61eead1
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Showing 6 changed files with 8,034 additions and 4 deletions.
diff --git a/Makefile b/Makefile
@@ -3,5 +3,5 @@ lib:
 	(cd ssa && make)
 
 clean:
-	(cd k8s_util/lib && make clean)
+	(cd acto/k8s_util/lib && make clean)
 	(cd ssa && make)
diff --git a/acto/__main__.py b/acto/__main__.py
@@ -78,6 +78,7 @@
                     dest='dryrun',
                     action='store_true',
                     help='Only generate test cases without executing them')
+parser.add_argument('--checkonly', action='store_true')
 
 args = parser.parse_args()
 
@@ -155,7 +156,7 @@
 
 # Post processing
 post_diff_test_dir = os.path.join(args.workdir_path, 'post_diff_test')
-p = PostDiffTest(testrun_dir=post_diff_test_dir, config=config)
+p = PostDiffTest(testrun_dir=args.workdir_path, config=config)
 if not args.checkonly:
     p.post_process(post_diff_test_dir, num_workers=args.num_workers)
 p.check(post_diff_test_dir, num_workers=args.num_workers)

diff --git a/docs/development.md b/docs/development.md
@@ -27,7 +27,7 @@ The file stores the result of different oracles in Acto.
 We provide a post-processing script to gather all the alarms into a csv file for alarm inspection.
 After all tests finish, run
 ```sh
-python3 checker.py --config data/cass-operator/config.json --num-workers 8 --testrun-dir testrun-cass
+python3 -m acto.checker.checker --config data/cass-operator/config.json --num-workers 8 --testrun-dir testrun-cass
 ```
 to post-process all the results.
 We run this post-process step because previously we wanted to test the false alarm

diff --git a/scripts/feature_results_to_csv.py b/scripts/feature_results_to_csv.py
@@ -289,7 +289,8 @@
                     'input': json_instance['post_result']['error']['testcase'],
                     'symptom': json_instance['post_result']['error']
                 }
-                #classify_alarm(alarm_features)
+                # TODO: implement classify_alarm
+                # classify_alarm(alarm_features)
                 taint_analysis_df_list.append({
                     'Trial number': json_instance['post_result']['trial_num'],
                     'testcase': json_instance['post_result']['error']['testcase'],