dfdfsdd

cmdlet/_shared.py

@@ -5,10 +5,9 @@ from __future__ import annotations
 
 import json
 import sys
-import inspect
 from collections.abc import Iterable as IterableABC
 
-from SYS.logger import log, debug
+from SYS.logger import log
 from pathlib import Path
 from typing import Any, Callable, Dict, Iterable, List, Optional, Sequence, Set
 from dataclasses import dataclass, field
@@ -690,7 +689,9 @@ def get_field(obj: Any, field: str, default: Optional[Any] = None) -> Any:
 		get_field(result, "table", "unknown")  # With default
 	"""
 	# Handle lists by accessing the first element
-	if isinstance(obj, list) and obj:
+	if isinstance(obj, list):
+		if not obj:
+			return default
 		obj = obj[0]
 	
 	if isinstance(obj, dict):
@@ -702,8 +703,9 @@ def get_field(obj: Any, field: str, default: Optional[Any] = None) -> Any:
 			return value
 		
 		# For PipeObjects, also check the extra field
-		if hasattr(obj, 'extra') and isinstance(obj.extra, dict):
-			return obj.extra.get(field, default)
+		extra_val = getattr(obj, 'extra', None)
+		if isinstance(extra_val, dict):
+			return extra_val.get(field, default)
 		
 		return default
 
@@ -1118,7 +1120,7 @@ def create_pipe_object_result(
 	Returns:
 		Dict with all PipeObject fields for emission
 	"""
-	result = {
+	result: Dict[str, Any] = {
 		'source': source,
 		'id': identifier,
 		'path': file_path,
@@ -1546,14 +1548,11 @@ def coerce_to_pipe_object(value: Any, default_path: Optional[str] = None) -> mod
 		extra = {k: v for k, v in value.items() if k not in known_keys}
 
 		# Extract URL: prefer direct url field, then url list
-		url_val = value.get("url")
-		if not url_val:
-			url = value.get("url") or value.get("url") or []
-			if url and isinstance(url, list) and len(url) > 0:
-				url_val = url[0]
-			# Preserve url in extra if multiple url exist
-			if url and len(url) > 1:
-				extra["url"] = url
+		from metadata import normalize_urls
+		url_list = normalize_urls(value.get("url"))
+		url_val = url_list[0] if url_list else None
+		if len(url_list) > 1:
+			extra["url"] = url_list
 
 		# Extract relationships
 		rels = value.get("relationships") or {}