This sample service applies Cloud Storage-triggered image processing with Cloud Vision API analysis and ImageMagick transformation.

Use it with the Image Processing with Cloud Run tutorial.

docker build --tag pubsub-tutorial:python .

docker run --rm -p 9090:8080 -e PORT=8080 pubsub-tutorial:python

pytest

Note: you may need to install pytest using pip install pytest.

# Set an environment variable with your GCP Project ID
export GOOGLE_CLOUD_PROJECT=<PROJECT_ID>

# Submit a build using Google Cloud Build
gcloud builds submit --tag gcr.io/${GOOGLE_CLOUD_PROJECT}/pubsub-tutorial

# Deploy to Cloud Run
gcloud beta run deploy pubsub-tutorial --image gcr.io/${GOOGLE_CLOUD_PROJECT}/pubsub-tutorial --set-env-vars=BLURRED_BUCKET_NAME=<BLURRED_BUCKET_NAME>

Cloud Run services can be configured with Environment Variables. Required variables for this sample include:

• INPUT_BUCKET_NAME: The Cloud Run service will be notified of images uploaded to this Cloud Storage bucket. The service will then retreive and process the image.
• BLURRED_BUCKET_NAME: The Cloud Run service will write blurred images to this Cloud Storage bucket.

• The image.py file is copied from the Cloud Functions ImageMagick sample main.py. Region tags are changed.
• The requirements.txt dependencies used in the copied code should track the Cloud Functions ImageMagick requirements.txt