Dockerize the api rest app

Add dockerfile docker-compose file and conf files

api_rest/Dockerfile

@@ -0,0 +1,33 @@
+FROM python:3.10
+
+WORKDIR /wordle_app
+
+ARG UID=1000
+ARG GID=1000
+
+RUN groupadd -g "${GID}" python \
+  && useradd --create-home --no-log-init -u "${UID}" -g "${GID}" python \
+  && chown python:python -R /wordle_app
+
+USER python
+
+COPY --chown=python:python ./requirements.txt ./
+RUN pip install --no-cache-dir --user -r requirements.txt
+
+ARG FLASK_DEBUG="false"
+ENV FLASK_DEBUG="${FLASK_DEBUG}" \
+    FLASK_APP="api_rest.api" \
+    FLASK_SKIP_DOTENV="true" \
+    PYTHONUNBUFFERED="true" \
+    PYTHONPATH="." \
+    PATH="${PATH}:/home/python/.local/bin" \
+    USER="python"
+
+COPY --chown=python:python . .
+
+RUN if [ "${FLASK_DEBUG}" != "true" ]; then \
+  flask digest compile; fi
+
+EXPOSE 8000
+
+CMD ["gunicorn", "-c", "python:api_rest.gunicorn", "api_rest.api:create_app()"]

api_rest/api.py

@@ -29,7 +29,7 @@ def get_play():
     word = word.upper()
     env = get_env()
     model_path = get_play_model_path()
-    # Call the suggest function with the input lists and return the result
+    # Call the play function with the goal word and return the attempts and the result
     won, attempts = play(env, model_path, word)
     return jsonify({'attempts': attempts, 'won': won})
 
@@ -37,11 +37,25 @@ def get_play():
 @app.route('/word', methods=['GET'])
 @cross_origin(origin='*', headers=['Content-Type', 'Authorization'])
 def get_word():
-    # Get the list of words and list of number strings from the request
+    # Get a random word from the target vocabulary used to train the model
     word = random.choice(target_vocabulary)
     word = word.upper()
     return jsonify({'word': word})
 
 
+def create_app(settings_override=None):
+    """
+    Create a Flask application using the app factory pattern.
+    :param settings_override: Override settings
+    :return: Flask app
+    """
+    # app.config.from_object("config.settings")
+
+    if settings_override:
+        app.config.update(settings_override)
+
+    return app
+
+
 if __name__ == '__main__':
     app.run(debug=True)

api_rest/config.py

@@ -0,0 +1,3 @@
+import os
+
+SECRET_KEY = os.getenv("SECRET_KEY", None)

api_rest/docker-compose.yml

@@ -0,0 +1,18 @@
+services:
+  web:
+    build:
+      context: "../"
+      dockerfile: './api_rest/Dockerfile'
+      args:
+        - "UID=${UID:-1000}"
+        - "GID=${GID:-1000}"
+        - "FLASK_DEBUG=${FLASK_DEBUG:-false}"
+    env_file:
+      - "../.env"
+    restart: unless-stopped
+    stop_grace_period: "3s"
+    tty: true
+    ports:
+      - 8000:8000
+    expose:
+      - 8000

api_rest/gunicorn.py

@@ -0,0 +1,13 @@
+# -*- coding: utf-8 -*-
+import multiprocessing
+import os
+from distutils.util import strtobool
+
+bind = f"0.0.0.0:{os.getenv('PORT', '8000')}"
+accesslog = "-"
+access_log_format = "%(h)s %(l)s %(u)s %(t)s '%(r)s' %(s)s %(b)s '%(f)s' '%(a)s' in %(D)sµs"  # noqa: E501
+
+workers = int(os.getenv("WEB_CONCURRENCY", multiprocessing.cpu_count() * 2))
+threads = int(os.getenv("PYTHON_MAX_THREADS", 1))
+
+reload = bool(strtobool(os.getenv("WEB_RELOAD", "false")))

requirements.txt

@@ -1,7 +1,11 @@
-dotenv
-firebase-admin
-gym
-matplotlib
-selenium
-torch
-flask
+autopep8==2.0.1
+firebase-admin==6.1.0
+Flask==2.2.3
+Flask-Cors==3.0.10
+Flask-Static-Digest==0.2.1
+gunicorn==20.1.0
+gym==0.21.0
+matplotlib==3.6.3
+python-dotenv==1.0.0
+selenium==4.8.2
+torch==1.13.1