fixes for dockerfile

Author: AlejandroEsquivel

Dockerfile

@@ -1,23 +1,32 @@
-FROM public.ecr.aws/docker/library/python:3.12-slim
+FROM python:3.12-slim
 
 # Accept a build arg for the Guardrails token
 # We'll add this to the config using the configure command below
-# ARG GUARDRAILS_TOKEN
+ARG GUARDRAILS_TOKEN
 
 # Create app directory
 WORKDIR /app
 
+# Enable venv
+ENV PATH="/opt/venv/bin:$PATH"
+
+# Set the directory for nltk data
+ENV NLTK_DATA=/opt/nltk_data
+
+# Set env vars for server
+ENV GR_CONFIG_FILE_PATH="sample-config.py"
+ENV GR_ENV_FILE=".env"
+ENV PORT=8000
+
 # print the version just to verify
 RUN python3 --version
 # start the virtual environment
 RUN python3 -m venv /opt/venv
 
-# Enable venv
-ENV PATH="/opt/venv/bin:$PATH"
-
-# Install some utilities; you may not need all of these
-RUN apt-get update
-RUN apt-get install -y git
+# Install some utilities
+RUN apt-get update && \
+    apt-get install -y git pkg-config curl gcc g++ && \
+    rm -rf /var/lib/apt/lists/*
 
 # Copy the requirements file
 COPY requirements*.txt .
@@ -26,26 +35,27 @@ COPY requirements*.txt .
 # If you use Poetry this step might be different
 RUN pip install -r requirements-lock.txt
 
-# Set the directory for nltk data
-ENV NLTK_DATA=/opt/nltk_data
-
 # Download punkt data
 RUN python -m nltk.downloader -d /opt/nltk_data punkt
 
 # Run the Guardrails configure command to create a .guardrailsrc file
-# RUN guardrails configure --enable-metrics --enable-remote-inferencing  --token $GUARDRAILS_TOKEN
+RUN guardrails configure --enable-metrics --enable-remote-inferencing  --token $GUARDRAILS_TOKEN
 
 # Install any validators from the hub you want
-RUN guardrails hub install hub://guardrails/valid_length
+RUN guardrails hub install hub://guardrails/detect_pii --no-install-local-models && \
+    guardrails hub install hub://guardrails/competitor_check --no-install-local-models
+
+# Fetch AWS RDS cert
+RUN curl https://truststore.pki.rds.amazonaws.com/global/global-bundle.pem -o ./global-bundle.pem
 
 # Copy the rest over
 # We use a .dockerignore to keep unwanted files exluded
 COPY . .
 
-EXPOSE 8000
+EXPOSE ${PORT}
 
 # This is our start command; yours might be different.
 # The guardrails-api is a standard FastAPI application.
 # You can use whatever production server you want that support FastAPI.
 # Here we use gunicorn
-CMD gunicorn --bind 0.0.0.0:8000 --timeout=90 --workers=2 'guardrails_api.app:create_app(".env", "sample-config.py")'
+CMD uvicorn --factory 'guardrails_api.app:create_app' --host 0.0.0.0 --port ${PORT} --timeout-keep-alive=90 --workers=4