Fast as f***

Dockerfile

@@ -1,30 +1,29 @@
-# Use the official lightweight Python image.
-# https://hub.docker.com/_/python
+# ---- Base python ----
+FROM python:3.9 AS base
+# Create app directory
+WORKDIR /app
 
-FROM python:buster
+# ---- Dependencies ----
+FROM base AS dependencies  
+COPY requirements.txt ./
+# install app dependencies
+RUN pip install -r requirements.txt
 
-# Allow statements and log messages to immediately appear in the Knative logs
-ENV PYTHONUNBUFFERED True
+# ---- Copy Files/Build ----
+FROM dependencies AS build  
+WORKDIR /app
+COPY . /app
+# Build / Compile if required
 
-# Copy local code to the container image.
-ENV APP_HOME /app
-WORKDIR $APP_HOME
-COPY . ./
+# --- Release with Alpine ----
+FROM python:slim AS release  
+# Create app directory
+WORKDIR /app
 
-# Install apt-utils
-#RUN DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends apt-utils
-# Upgrade Linux packages
-RUN apt-get -y update && apt-get -y dist-upgrade && apt-get -y autoremove && apt-get -y autoclean
-# Upgrade pip itself
-RUN pip install --upgrade pip
-# Upgrade to latests python packages
-RUN pip list --outdated --format=freeze | grep -v '^\-e' | cut -d = -f 1  | xargs -n1 pip install -U
-# Install dependencies
-RUN pip install -r requirements.txt
+COPY --from=dependencies /app/requirements.txt ./
+COPY --from=dependencies /root/.cache /root/.cache
 
-# Run the web service on container startup. Here we use the gunicorn
-# webserver, with one worker process and 8 threads.
-# For environments with multiple CPU cores, increase the number of workers
-# to be equal to the cores available.
-# Timeout is set to 0 to disable the timeouts of the workers to allow Cloud Run to handle instance scaling.
-CMD exec gunicorn --bind :$PORT --workers 4 --worker-class uvicorn.workers.UvicornWorker  --threads 8 --timeout 0 main:app
+# Install app dependencies
+RUN pip install -r requirements.txt
+COPY --from=build /app/ ./
+CMD exec gunicorn --bind :$PORT --workers 4 --worker-class uvicorn.workers.UvicornWorker  --threads 8 --timeout 0 main:app