Updated python example

examples/python/python.py

@@ -2,14 +2,36 @@
 # Use of this source code is governed by a BSD-style
 # license that can be found in the LICENSE file.
 
+# How to run this example
+# 1 - Build the docker image by running the command "docker build -t fsouza/fake-gcs-server ."
+# 2 - Start the docker container: "docker run -d --name fake-gcs-server -p 4443:4443 -v ${PWD}/examples/data:/data fsouza/fake-gcs-server -scheme http"
+# 3 - Check if it's working by running: "curl http://0.0.0.0:4443/storage/v1/b"
+# 4 - Create a python virtual enviroment (Ex: python -m .venv venv)
+# 5 - Source the env (source .venv/bin/activate)
+# 7 - Go to the following directory examples/python: (cd examples/python)
+# 6 - Install requirements: "pip install -r requirements.txt" and "pip install -r requirements.in"
+# 7 - Run this script
+
+# For additional info on how to run this example or setup the docker container check the
+# run script "ci/run-python-example.sh"
+
 import tempfile
+import os
 
 from google.auth.credentials import AnonymousCredentials
 from google.cloud import storage
 
+# This endpoint assumes that you are using the default port 4443 from the container.
+# If you are using a different port, please set the environment variable STORAGE_EMULATOR_HOST.
+os.environ.setdefault("STORAGE_EMULATOR_HOST", "http://localhost:4443")
+
+
 client = storage.Client(
     credentials=AnonymousCredentials(),
     project="test",
+    # Alternatively instead of using the global env STORAGE_EMULATOR_HOST. You can define it here.
+    # This will set this client object to point to the local google cloud storage.
+    # client_options={"api_endpoint": "http://localhost:4443"},
 )
 
 # List the Buckets