feat: Added option to recurse sub-directories

README.md

@@ -1,6 +1,6 @@
 # File Processing Script
 
-This script processes files in a specified directory using an API, logs results in a local SQLite database, and provides options for retrying failed or pending files. It includes features for skipping specific files, generating reports, and running multiple API calls in parallel.
+This script processes files recursively from a specified directory using an API, logs results in a local SQLite database, and provides options for retrying failed or pending files. It includes features for skipping specific files, generating reports, and running multiple API calls in parallel.
 
 ## Features
 
@@ -61,6 +61,7 @@ This will display detailed usage information.
 - `-p`, `--parallel_call_count`: Number of parallel API calls (default: 10).
 - `--csv_report`: Path to export the detailed report as a CSV file.
 - `--db_path`: Path where the SQlite DB file is stored (default: './file_processing.db')
+- `--recursive`: Recursively identify and process files from the input folder path (default: False)
 - `--retry_failed`: Retry processing of failed files.
 - `--retry_pending`: Retry processing of pending files by making new requests.
 - `--skip_pending`: Skip processing of pending files.

main.py

@@ -29,6 +29,7 @@ class Arguments:
     input_folder_path: str = ""
     db_path: str = ""
     parallel_call_count: int = 5
+    recurse_input_folder: bool = False
     retry_failed: bool = False
     retry_pending: bool = False
     skip_pending: bool = False
@@ -463,11 +464,15 @@ def process_file(
 
 
 def load_folder(args: Arguments):
-    files = [
-        os.path.join(args.input_folder_path, f)
-        for f in os.listdir(args.input_folder_path)
-        if os.path.isfile(os.path.join(args.input_folder_path, f))
-    ]
+    files = []
+    for root, _, filenames in os.walk(args.input_folder_path):
+        for f in filenames:
+            file_path = os.path.join(root, f)
+            if os.path.isfile(file_path):
+                files.append(file_path)
+        if not args.recurse_input_folder:
+            break
+    logger.debug(f"Loaded '{len(files)}' files from '{args.input_folder_path}': {files}")
 
     with Manager() as manager, Pool(args.parallel_call_count) as executor:
         success_count = manager.Value("i", 0)  # Shared integer for success count
@@ -501,6 +506,24 @@ def load_folder(args: Arguments):
         pbar.close()
 
 
+def api_deployment_batch_run(args: Arguments):
+    logger.warning(f"Running with params: {args}")
+    init_db(args=args)  # Initialize DB
+
+    load_folder(args=args)
+
+    print_summary(args=args)  # Print summary at the end
+    if args.print_report:
+        print_report(args=args)
+        logger.warning(
+            "Elapsed time calculation of a file which was resumed"
+            " from pending state will not be correct"
+        )
+
+    if args.csv_report:
+        export_report_to_csv(args=args)
+
+
 def main():
     parser = argparse.ArgumentParser(description="Process files using Unstract's API deployment")
     parser.add_argument(
@@ -564,6 +587,12 @@ def main():
         type=str,
         help='Path to export the detailed report as a CSV file',
     )
+    parser.add_argument(
+        "--recursive",
+        dest="recurse_input_folder",
+        action="store_true",
+        help="Recursively identify and process files from the input folder path (default: False)",
+    )
     parser.add_argument(
         "--retry_failed",
         dest="retry_failed",
@@ -625,22 +654,7 @@ def main():
     ch.setFormatter(formatter)
     logging.basicConfig(level=args.log_level, handlers=[ch])
 
-    logger.warning(f"Running with params: {args}")
-
-    init_db(args=args)  # Initialize DB
-
-    load_folder(args=args)
-
-    print_summary(args=args)  # Print summary at the end
-    if args.print_report:
-        print_report(args=args)
-        logger.warning(
-            "Elapsed time calculation of a file which was resumed"
-            " from pending state will not be correct"
-        )
-
-    if args.csv_report:
-        export_report_to_csv(args=args)
+    api_deployment_batch_run(args=args)
 
 
 if __name__ == "__main__":