Fixes

app.py

@@ -3,15 +3,16 @@ import time
 import os
 import requests
 
-img_path ="image.png"
 treashold = float(5)
-sever = os.environ['API_ROOT']
+sever = os.getenv('API_ROOT', 'localhost')
+root_api_url = 'http://{}/local'.format(sever)
 
 try:
-    r = requests.get('http://{}/local/detections/anonymize'.format(sever))
+    r = requests.get('{}/detections/anonymize'.format(root_api_url))
     face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
 
     for detection in r.json():
+        img_path = "/data/{}".format(detection.filename)
         img = cv2.imread(img_path)
         gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
         faces, rejects, weights = face_cascade.detectMultiScale3(gray, 1.1, 4, outputRejectLevels = 1)
@@ -26,12 +27,22 @@ try:
 
                 print(weights[i])
                 text = "{}".format(weights[i])
-                cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
-                cv2.putText(img, text, (x, y), cv2.FONT_HERSHEY_SIMPLEX, 0.45, (0, 0, 255), 2)
+                #cv2.rectangle(img, (x, y), (x+w, y+h), (255, 0, 0), 2)
+                #cv2.putText(img, text, (x, y), cv2.FONT_HERSHEY_SIMPLEX, 0.45, (0, 0, 255), 2)
 
             i = i +1
+        
+        extension = img_path[img_path.index(".")+1:]
+        new_img_path = img_path.replace(extension, ('_anonym{}'.format(extension)))
+        cv2.imwrite(new_img_path, img)
 
-        cv2.imwrite(img_path, img)
+        data = {
+            "detection_id": detection.id,
+            "detection_path": new_img_path
+        }
+        response = requests.post('{}/detections/anonymized'.format(root_api_url), json=data)
 
-except:
-    print("An exception occurred")
+except Exception as e:
+    print("An exception occurred")
+    data = {"trace": e.__traceback__,}
+    response = requests.post('{}/log'.format(root_api_url), json=data)