Fix: possible memory leaks close #5277 (#5500)

### What problem does this PR solve?

close #5277 by make sure the file close

### Type of change

- [x] Performance Improvement

---------

Signed-off-by: yihong0618 <zouzou0208@gmail.com>

api/utils/file_utils.py

@@ -188,6 +188,7 @@ def thumbnail_img(filename, blob):
                 buffered = BytesIO()
             else:
                 break
+        pdf.close()
         return img
 
     elif re.match(r".*\.(jpg|jpeg|png|tif|gif|icon|ico|webp)$", filename):

deepdoc/parser/pdf_parser.py

@@ -950,7 +950,9 @@ class RAGFlowPdfParser:
         try:
             pdf = pdfplumber.open(
                 fnm) if not binary else pdfplumber.open(BytesIO(binary))
-            return len(pdf.pages)
+            total_page = len(pdf.pages)
+            pdf.close()
+            return total_page 
         except Exception:
             logging.exception("total_page_number")
 
@@ -996,9 +998,12 @@ class RAGFlowPdfParser:
             dfs(outlines, 0)
         except Exception as e:
             logging.warning(f"Outlines exception: {e}")
+        finally:
+            self.pdf.close()
         if not self.outlines:
             logging.warning("Miss outlines")
         
+
         logging.debug("Images converted.")
         self.is_english = [re.search(r"[a-zA-Z0-9,/¸;:'\[\]\(\)!@#$%^&*\"?<>._-]{30,}", "".join(
             random.choices([c["text"] for c in self.page_chars[i]], k=min(100, len(self.page_chars[i]))))) for i in

deepdoc/vision/__init__.py

@@ -42,6 +42,7 @@ def init_in_out(args):
 
         for i, page in enumerate(images):
             outputs.append(os.path.split(fnm)[-1] + f"_{i}.jpg")
+        pdf.close()
 
     def images_and_outputs(fnm):
         nonlocal outputs, images

rag/svr/task_executor.py

@@ -18,6 +18,7 @@
 # beartype_all(conf=BeartypeConf(violation_type=UserWarning))    # <-- emit warnings from all code
 import random
 import sys
+
 from api.utils.log_utils import initRootLogger, get_project_base_directory
 from graphrag.general.index import WithCommunity, WithResolution, Dealer
 from graphrag.light.graph_extractor import GraphExtractor as LightKGExt