Updating processor.py

* `--sanitize` argument now works as a flag
* If json file with annotation can not be parsed, it is discarded.
* Data sanitation is announced by CLI

processor.py

@@ -95,7 +95,7 @@ def fix_snippets(logs: dict):
     return logs
 
 
-def cleanup(dataset: pd.DataFrame):
+def cleanup(dataset: pd.DataFrame, min_how_to_fix_len=10, min_fail_reason_len=10, min_total_snippet_annot_len=10):
     """Cleaning the dataset
 
     For sake of simplicity we are going to assume following.
@@ -105,6 +105,8 @@ def cleanup(dataset: pd.DataFrame):
     3. Submissions with total length of snippet annotations shorter than `10` chars are not useful.
     4. Submissions with snippets set to `None` are not useful."""
 
+    print("Performing dataset cleanup")
+
     # Fixing snippets with messed up text
     filled_snippets = dataset.logs.apply(fix_snippets)
     dataset['filled_snippets'] = filled_snippets
@@ -116,9 +118,9 @@ def cleanup(dataset: pd.DataFrame):
     dataset["tot_snippet_annot_len"] = dataset['logs'].apply(total_snippet_annotation_len)
 
     # Conditions
-    almost_empty_fix = dataset['how_to_fix_len'] < 10
-    almost_empty_reason = dataset['fail_reason_len'] < 10
-    almost_empty_snippet_annotations = dataset["tot_snippet_annot_len"] < 10
+    almost_empty_fix = dataset['how_to_fix_len'] < min_how_to_fix_len
+    almost_empty_reason = dataset['fail_reason_len'] < min_fail_reason_len
+    almost_empty_snippet_annotations = dataset["tot_snippet_annot_len"] < min_total_snippet_annot_len
     none_snippets = dataset['logs'].apply(none_snippet)
 
     sparse_annotation_criteria = (
@@ -150,10 +152,13 @@ def load_data(data_path: str):
     for root, _, files in os.walk(data_path):
         for file in files:
             if file.endswith(".json"):
-                with open(os.path.join(root, file), 'r', encoding='utf-8') as f:
-                    parsed_data = json.load(f)
-                    parsed_data["file_name"] = file
-                    data.append(parsed_data)
+                try:
+                    with open(os.path.join(root, file), 'r', encoding='utf-8') as f:
+                        parsed_data = json.load(f)
+                        parsed_data["file_name"] = file
+                        data.append(parsed_data)
+                except json.decoder.JSONDecodeError:
+                    print(f"Exception encountered while parsing {os.path.join(root, file)}, skipping.")
 
     return data
 
@@ -262,7 +267,7 @@ if __name__ == "__main__":
     parser.add_argument(
         "data_path", type=str, default="results/results", help="Path to annotations.")
     parser.add_argument(
-        "--sanitize", type=bool, default=True, help="Run basic data cleanup procedure")
+        "--sanitize", action='store_true', help="Run basic data cleanup procedure, dataset build may fail without it.")
     parser.add_argument(
         "--seed", type=int, default=42,
         help="Seed for random generator to be used when generating split.")