Moodle and Python services are separated to isolated services.

asystgrade/lib.php

@@ -66,7 +66,7 @@ function local_asystgrade_before_footer()
 
         $apiendpoint = get_config('local_asystgrade', 'apiendpoint');
         if (!$apiendpoint) {
-            $apiendpoint = 'http://127.0.0.1:5000/api/autograde'; // Default setting
+            $apiendpoint = 'http://flask:5000/api/autograde'; // Default setting, flask is the name of flask container
         }
 
         error_log('APIendpoint: ' . $apiendpoint);

flask/Dockerfile

+FROM python:3.11-slim
+
+# Installing system dependencies
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    build-essential \
+    python3-venv \
+    && rm -rf /var/lib/apt/lists/*
+
+# Creating and activating the virtual environment \
+RUN python3 -m venv /opt/myenv
+ENV PATH="/opt/myenv/bin:$PATH"
+
+WORKDIR /app
+RUN ls -la /app
+COPY . /app
+
+# Installing dependencies
+RUN /opt/myenv/bin/pip install --no-cache-dir -i https://pypi.tuna.tsinghua.edu.cn/simple -r /app/requirements.txt
+#RUN /opt/myenv/bin/python3 -m pip install -r /app/requirements.txt
+RUN /opt/myenv/bin/python3 -m pip install --upgrade setuptools wheel
+
+COPY ./asyst /app/asyst
+
+# Set permissions
+RUN chown -R www-data:www-data /app/asyst
+RUN chmod -R 755 /app/asyst
+
+# Open port for Flask API
+EXPOSE 5000
+
+# Launch application
+CMD ["python", "/app/api.py"]
\ No newline at end of file

asyst/Source/Skript/german/run_LR_SBERT.py → flask/asyst/Source/Skript/german/run_LR_SBERT.py

@@ -36,7 +36,7 @@ def process_data(data):
 
     parser.add_argument(
         "--model_dir",
-        default="/var/www/html/moodle/asyst/Source/Skript/german/models",
+        default="/app/asyst/Source/Skript/german/models",
         type=str,
         required=False,
         help="The directory where the ML models are stored.",
@@ -65,7 +65,7 @@ def process_data(data):
     X_test = computed_simis_test
 
     # UP: read pre-trained LR model
-    clf_log = pickle.load(open("/var/www/html/moodle/asyst/Source/Skript/german/models/clf_BERT.pickle", "rb"))
+    clf_log = pickle.load(open("/app/asyst/Source/Skript/german/models/clf_BERT.pickle", "rb"))
     predictions = clf_log.predict(X_test)