feat: improve idle memory usage (#1758)

* health check as python script

* install crfpp model via python

* drop curl from finale container

* use uvicorn by default w/ gunicorn as opt in

* recommend setting mem limit for container

mealie/run.sh

@@ -41,11 +41,6 @@ init() {
     poetry run python /app/mealie/db/init_db.py
 }
 
-# Migrations
-# TODO
-# Migrations
-# Set Port from ENV Variable
-
 if [ "$ARG1" == "reload" ]; then
     echo "Hot Reload!"
 
@@ -63,6 +58,11 @@ else
     GUNICORN_PORT=${API_PORT:-9000}
 
     # Start API
-    # uvicorn mealie.app:app --host 0.0.0.0 --port 9000
-    gunicorn mealie.app:app -b 0.0.0.0:$GUNICORN_PORT -k uvicorn.workers.UvicornWorker -c /app/gunicorn_conf.py --preload
+
+    if [ $WEB_GUNICORN == 'true' ]; then
+        echo "Starting Gunicorn"
+        gunicorn mealie.app:app -b 0.0.0.0:$GUNICORN_PORT -k uvicorn.workers.UvicornWorker -c /app/gunicorn_conf.py --preload
+    else
+        uvicorn mealie.app:app --host 0.0.0.0 --port $GUNICORN_PORT
+    fi
 fi

mealie/scripts/healthcheck.py

@@ -0,0 +1,23 @@
+import os
+
+import requests
+
+
+def main():
+    port = os.getenv("API_PORT")
+
+    if port is None:
+        port = 9000
+
+    url = f"http://127.0.0.1:{port}/api/app/about"
+
+    r = requests.get(url)
+
+    if r.status_code == 200:
+        exit(0)
+    else:
+        exit(1)
+
+
+if __name__ == "__main__":
+    main()

mealie/scripts/install_model.py

@@ -0,0 +1,21 @@
+import requests
+
+from mealie.services.parser_services import crfpp
+
+MODEL_URL = "https://github.com/mealie-recipes/nlp-model/releases/download/v1.0.0/model.crfmodel"
+
+
+def main():
+    """
+    Install the model into the crfpp directory
+    """
+
+    r = requests.get(MODEL_URL, stream=True, allow_redirects=True)
+    with open(crfpp.MODEL_PATH, "wb") as f:
+        for chunk in r.iter_content(chunk_size=1024):
+            if chunk:
+                f.write(chunk)
+
+
+if __name__ == "__main__":
+    main()