diff --git a/rag/app/naive.py b/rag/app/naive.py
index 8811c6b70..200059707 100644
--- a/rag/app/naive.py
+++ b/rag/app/naive.py
@@ -210,8 +210,8 @@ class Docx(DocxParser):
             except UnicodeDecodeError:
                 logging.info("The recognized image stream appears to be corrupted. Skipping image.")
                 continue
-            except Exception:
-                logging.info("The recognized image stream appears to be corrupted. Skipping image.")
+            except Exception as e:
+                logging.warning(f"The recognized image stream appears to be corrupted. Skipping image, exception: {e}")
                 continue
             try:
                 image = Image.open(BytesIO(image_blob)).convert('RGB')
@@ -219,7 +219,8 @@ class Docx(DocxParser):
                     res_img = image
                 else:
                     res_img = concat_img(res_img, image)
-            except Exception:
+            except Exception as e:
+                logging.warning(f"Fail to open or concat images, exception: {e}")
                 continue
 
         return res_img
@@ -553,7 +554,8 @@ class Markdown(MarkdownParser):
                 if (src, line_no) not in seen:
                     urls.append({"url": src, "line": line_no})
                     seen.add((src, line_no))
-        except Exception:
+        except Exception as e:
+            logging.error("Failed to extract image urls: {}".format(e))
             pass
 
         return urls
@@ -698,8 +700,10 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
                                 **kwargs) or []
                 embed_res.extend(sub_res)
             except Exception as e:
+                error_msg = f"Failed to chunk embed {embed_filename}: {e}"
+                logging.error(error_msg)
                 if callback:
-                    callback(0.05, f"Failed to chunk embed {embed_filename}: {e}")
+                    callback(0.05, error_msg)
                 continue
 
     if re.search(r"\.docx$", filename, re.IGNORECASE):
@@ -839,7 +843,8 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
         try:
             vision_model = LLMBundle(kwargs["tenant_id"], LLMType.IMAGE2TEXT)
             callback(0.2, "Visual model detected. Attempting to enhance figure extraction...")
-        except Exception:
+        except Exception as e:
+            logging.warning(f"Failed to detect figure extraction: {e}")
             vision_model = None
 
         if vision_model:
@@ -905,8 +910,9 @@ def chunk(filename, binary=None, from_page=0, to_page=100000, lang="Chinese", ca
             sections = [(_, "") for _ in sections if _]
             callback(0.8, "Finish parsing.")
         else:
-            callback(0.8, f"tika.parser got empty content from {filename}.")
-            logging.warning(f"tika.parser got empty content from {filename}.")
+            error_msg = f"tika.parser got empty content from {filename}."
+            callback(0.8, error_msg)
+            logging.warning(error_msg)
             return []
     else:
         raise NotImplementedError(
diff --git a/rag/app/table.py b/rag/app/table.py
index 4ffbee367..f931d2849 100644
--- a/rag/app/table.py
+++ b/rag/app/table.py
@@ -42,16 +42,16 @@ class Excel(ExcelParser):
         else:
             wb = Excel._load_excel_to_workbook(BytesIO(binary))
         total = 0
-        for sheetname in wb.sheetnames:
-            total += len(list(wb[sheetname].rows))
+        for sheet_name in wb.sheetnames:
+            total += len(list(wb[sheet_name].rows))
         res, fails, done = [], [], 0
         rn = 0
         flow_images = []
         pending_cell_images = []
         tables = []
-        for sheetname in wb.sheetnames:
-            ws = wb[sheetname]
-            images = Excel._extract_images_from_worksheet(ws, sheetname=sheetname)
+        for sheet_name in wb.sheetnames:
+            ws = wb[sheet_name]
+            images = Excel._extract_images_from_worksheet(ws, sheetname=sheet_name)
             if images:
                 image_descriptions = vision_figure_parser_figure_xlsx_wrapper(images=images, callback=callback,
                                                                               **kwargs)
@@ -59,7 +59,7 @@ class Excel(ExcelParser):
                     for i, bf in enumerate(image_descriptions):
                         images[i]["image_description"] = "\n".join(bf[0][1])
                     for img in images:
-                        if (img["span_type"] == "single_cell" and img.get("image_description")):
+                        if img["span_type"] == "single_cell" and img.get("image_description"):
                             pending_cell_images.append(img)
                         else:
                             flow_images.append(img)
@@ -67,7 +67,7 @@ class Excel(ExcelParser):
             try:
                 rows = list(ws.rows)
             except Exception as e:
-                logging.warning(f"Skip sheet '{sheetname}' due to rows access error: {e}")
+                logging.warning(f"Skip sheet '{sheet_name}' due to rows access error: {e}")
                 continue
             if not rows:
                 continue
@@ -303,7 +303,8 @@ class Excel(ExcelParser):
 def trans_datatime(s):
     try:
         return datetime_parse(s.strip()).strftime("%Y-%m-%d %H:%M:%S")
-    except Exception:
+    except Exception as e:
+        logging.warning(f"Failed to parse date from {s}, error: {e}")
         pass
 
 
@@ -312,6 +313,7 @@ def trans_bool(s):
         return "yes"
     if re.match(r"(false|no|否|⍻|×)$", str(s).strip(), flags=re.IGNORECASE):
         return "no"
+    return None
 
 
 def column_data_type(arr):
@@ -346,8 +348,9 @@ def column_data_type(arr):
             continue
         try:
             arr[i] = trans[ty](str(arr[i]))
-        except Exception:
+        except Exception as e:
             arr[i] = None
+            logging.warning(f"Column {i}: {e}")
     # if ty == "text":
     #    if len(arr) > 128 and uni / len(arr) < 0.1:
     #        ty = "keyword"