Update utils.py

utils.py

@@ -2,6 +2,7 @@ import pydicom
 import numpy as np
 from PIL import Image
 import time
+import uuid
 from datetime import datetime
 from reportlab.pdfgen import canvas
 from reportlab.lib.pagesizes import letter
@@ -20,8 +21,9 @@ def convert_dicom_zip_to_nifti(zip_file):
     """
 
     # Step 1: Setup temp directories
-    tmp_dir = f"/tmp/dicom_{int(time.time())}"
-    nifti_dir = f"/tmp/nifti_{int(time.time())}"
+    unique_id = uuid.uuid4().hex
+    tmp_dir = f"/tmp/dicom_{unique_id}"
+    nifti_dir = f"/tmp/nifti_{unique_id}"
     os.makedirs(tmp_dir, exist_ok=True)
     os.makedirs(nifti_dir, exist_ok=True)
 
@@ -81,33 +83,33 @@ def convert_dicom_zip_to_nifti(zip_file):
 
     return sequence_images
 
-def load_dicoms(filepaths):
-    """
-    Accepts a list of DICOM file objects.
-    Returns a list of PIL Images, one per sequence.
-    """
+# def load_dicoms(filepaths):
+#     """
+#     Accepts a list of DICOM file objects.
+#     Returns a list of PIL Images, one per sequence.
+#     """
 
-    images=[]
-    for file in filepaths:
-        dicom = pydicom.dcmread(file.name)
+#     images=[]
+#     for file in filepaths:
+#         dicom = pydicom.dcmread(file.name)
     
-        # Extract the pixel array
-        pixel_array = dicom.pixel_array.astype(float)
+#         # Extract the pixel array
+#         pixel_array = dicom.pixel_array.astype(float)
     
-        # Normalize to 0-255 range
-        pixel_min = pixel_array.min()
-        pixel_max = pixel_array.max()
+#         # Normalize to 0-255 range
+#         pixel_min = pixel_array.min()
+#         pixel_max = pixel_array.max()
 
-        if pixel_max - pixel_min == 0:
-            continue #to handle sequences not added
+#         if pixel_max - pixel_min == 0:
+#             continue #to handle sequences not added
             
-        normalized = (pixel_array - pixel_min) / (pixel_max - pixel_min) * 255
+#         normalized = (pixel_array - pixel_min) / (pixel_max - pixel_min) * 255
     
-        # Convert to uint8 RGB image
-        image = Image.fromarray(normalized.astype(np.uint8)).convert("RGB")
-        images.append(image)
+#         # Convert to uint8 RGB image
+#         image = Image.fromarray(normalized.astype(np.uint8)).convert("RGB")
+#         images.append(image)
     
-    return images
+#     return images
 
 def generate_pdf(report_text):
     """