try fix

db/convert-csv-to-json.py

@@ -1,11 +1,16 @@
 import os
 import pandas as pd
+import json
 import regex as re
 
 def transform_objectid(text):
     """Replace MongoDB ObjectId references to proper JSON format."""
     # Use non-capturing group and directly format the string with $oid.
-    return re.sub(r'ObjectId\(([^)]+)\)', r'{"$oid": "\1"}', text)
+    pattern = r'ObjectId\(([^)]+)\)'
+    replacements = re.findall(pattern, text)
+    for r in replacements:
+        text = text.replace(f'ObjectId({r})', f'{{"$oid": "{r}"}}')
+    return text
 
 def main():
     os.makedirs('db/json', exist_ok=True)  # Ensure the directory for JSON files exists
@@ -16,6 +21,9 @@ def main():
         # Transform all string columns that may contain ObjectId references
         for column in df.select_dtypes(include=['object']):
             df[column] = df[column].apply(lambda x: transform_objectid(str(x)) if pd.notna(x) else x)
+        # Convert transformed string JSON to actual JSON objects
+        for column in df.select_dtypes(include=['object']):
+            df[column] = df[column].apply(lambda x: json.loads(x) if pd.notna(x) and x.startswith('{') else x)
         # Save each dataframe as a JSON file with all objects in a single array
         json_path = f'db/json/{file.replace(".csv", ".json")}'
         df.to_json(json_path, orient='records', indent=4)