Merge pull request #132 from SDSRV-IDP/BE/review_page

Be/review page

cope2n-ai-fi/api/sdsap_sbt/prediction_sbt.py

@@ -4,6 +4,7 @@ import urllib
 import random
 import numpy as np
 from pathlib import Path
+import urllib.parse
 import uuid
 from copy import deepcopy
 import sys, os
@@ -33,10 +34,18 @@ def sbt_predict(image_url, engine, metadata={}) -> None:
     img = cv2.imdecode(arr, -1)
     
     save_dir = "./tmp_results"
+    try:
+
+        parsed_url = urllib.parse.urlparse(image_url)
+        query_params = urllib.parse.parse_qs(parsed_url.query)
+        file_name = query_params['file_name'][0]
+    except Exception as e:
+        print(f"[ERROR]: Error extracting file name from url: {image_url}")
+        file_name = f"{uuid.uuid4()}.jpg"
     os.makedirs(save_dir, exist_ok=True)
     # image_path = os.path.join(save_dir, f"{image_url}.jpg")
     os.makedirs(save_dir, exist_ok = True)
-    tmp_image_path = os.path.join(save_dir, f"{uuid.uuid4()}.jpg")
+    tmp_image_path = os.path.join(save_dir, file_name)
     cv2.imwrite(tmp_image_path, img)   
     extra_params = {'sub': metadata.get("subsidiary", None)} # example of 'AU' 
     outputs = process_img(img=tmp_image_path, 

cope2n-api/fwd_api/utils/accuracy.py

@@ -847,7 +847,6 @@ def calculate_a_request(report, request):
         rv_avg_acc = avg_dict(att["acc"]["reviewed"])
 
         image.is_required = fb_avg_acc < settings.BAD_THRESHOLD
-        image.is_reviewed = rv_avg_acc > 0
 
         if image.processing_time < 0:
             continue