Fixes

Dockerfile

@@ -1,5 +1,16 @@
 # Use PHP with Apache as the base image
-FROM python:3.9-slim
+FROM python:latest
+
+ENV PYTHONUNBUFFERED=1
+
+# Install Additional System Dependencies
+RUN apt-get update && apt-get upgrade -y
+RUN apt-get install -y \
+    libgl1 
+
+# Clear cache
+RUN apt-get autoremove
+RUN apt-get clean && rm -rf /var/lib/apt/lists/*
 
 #Copy Project
 COPY . /app
@@ -8,4 +19,6 @@ COPY . /app
 RUN pip install --no-cache-dir -r /app/requirements.txt
 
 # Start Anonimization
-CMD ["python", "/app/app.py"]
+CMD ["python", "-u", "/app/app.py"]
+
+WORKDIR /app

app.py

@@ -7,15 +7,21 @@ import json
 treashold = float(os.getenv('FACE_TRASHOLD', '0.5'))
 sever = os.getenv('API_ROOT', 'localhost:8000')
 root_api_url = 'http://{}/local'.format(sever)
-base_path = '/data/'
+base_path = '/app/data/'
+
+print("API_ROOT: " + str(root_api_url), flush=True)
+time.sleep(900)
 
 try:
     while True:
         r = requests.get('{}/anonymize'.format(root_api_url))
         face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')
+        # print(r.text, flush=True)
         response =  r.json()
 
         for detection in response:
+            print(str(detection['id']) + " Anonymization Started", flush=True)
+            
             img_path = "{}{}".format(base_path, detection['source_image_path'])
 
             #Skip Non existing files
@@ -27,6 +33,7 @@ try:
             faces, rejects, weights = face_cascade.detectMultiScale3(gray, 1.1, 4, outputRejectLevels = 1)
 
             #Count faces  is null dont anonimize file
+            print(len(faces) + " Faces Found" , flush=True)
             if (len(faces) < 0):
                 continue
             
@@ -38,7 +45,7 @@ try:
                     blurred_face = cv2.GaussianBlur(face_roi, (99, 99), 50)
                     img[y:y+h, x:x+w] = blurred_face
 
-                    print(weights[i])
+                    print(weights[i], flush=True)
                     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)
@@ -54,10 +61,15 @@ try:
                 "source_image_path": new_img_path.replace(base_path,"")
             }
             response = requests.post('{}/anonymize'.format(root_api_url), json=data)
+            print(str(detection['id']) + " Anonymized" , flush=True)
+            time.sleep(5)
         
+        print("sleep", flush=True)
         time.sleep(900)
 
 except Exception as e:
-    print("An exception occurred")
+    print("An exception occurred", flush=True)
+    print(str(e), flush=True)
+    
     data = {"trace": str(e)}
     response = requests.post('{}/log'.format(root_api_url), json=data)

start.sh

@@ -0,0 +1,2 @@
+echo "Starting..."
+python3 /app/app.py