This photo book project is built on top of a tutorial by Google 2nd project of my cloud computing course by Dr. Yang @ SFSU, Fall 2020

Python Google Cloud Vision sample for Google App Engine Flexible Environment

resource 1 (how to do perform CRUD operations with Google Datastore)

resource 2: Amazing tutorial in Pyton > 3.5 in Flask that I used to create this project; I highly recommnd going over this tutorial's code and repo to get a clear picutre on how to communicate with Datastore, Cloud Storage Bucket, and Google Vision API

Please follow the following instructions to run this project on Google App Engine:

This sample demonstrates how to use the Google Cloud Vision API, Google Cloud Storage, and Google Cloud Datastore on Google App Engine Flexible Environment.

Setup

Create a new project with the Google Cloud Platform console. Make a note of your project ID, which may be different than your project name.

Make sure to Enable Billing for your project.

Download the Google Cloud SDK to your local machine. Alternatively, you could use the Cloud Shell, which comes with the Google Cloud SDK pre-installed.

Initialize the Google Cloud SDK (skip if using Cloud Shell):

gcloud init

Create your App Engine application:

gcloud app create

Set an environment variable for your project ID, replacing [YOUR_PROJECT_ID] with your project ID:

export PROJECT_ID=[YOUR_PROJECT_ID]

Getting the sample code

Run the following command to clone the Github repository:

git clone https://github.com/GoogleCloudPlatform/python-docs-samples.git

Change directory to the sample code location:

cd python-docs-samples/codelabs/flex_and_vision

Authentication

Enable the APIs:

gcloud services enable vision.googleapis.com
gcloud services enable storage-component.googleapis.com
gcloud services enable datastore.googleapis.com

Create a Service Account to access the Google Cloud APIs when testing locally:

gcloud iam service-accounts create hackathon \
--display-name "My Hackathon Service Account"

Give your newly created Service Account appropriate permissions:

gcloud projects add-iam-policy-binding ${PROJECT_ID} \
--member serviceAccount:hackathon@${PROJECT_ID}.iam.gserviceaccount.com \
--role roles/owner

After creating your Service Account, create a Service Account key:

gcloud iam service-accounts keys create ~/key.json --iam-account \
hackathon@${PROJECT_ID}.iam.gserviceaccount.com

Set the GOOGLE_APPLICATION_CREDENTIALS environment variable to point to where you just put your Service Account key:

export GOOGLE_APPLICATION_CREDENTIALS="/home/${USER}/key.json"

Running locally

Create a virtual environment and install dependencies:

virtualenv -p python3 env
source env/bin/activate
pip install -r requirements.txt

Create a Cloud Storage bucket. It is recommended that you name it the same as your project ID:

gsutil mb gs://${PROJECT_ID}

Set the environment variable CLOUD_STORAGE_BUCKET:

export CLOUD_STORAGE_BUCKET=${PROJECT_ID}

Start your application locally:

python main.py

Visit localhost:8080 to view your application running locally. Press Control-C on your command line when you are finished.

When you are ready to leave your virtual environment:

deactivate

Deploying to App Engine

Open app.yaml and replace with the name of your Cloud Storage bucket.

Deploy your application to App Engine using gcloud. Please note that this may take several minutes.

gcloud app deploy

Visit https://[YOUR_PROJECT_ID].appspot.com to view your deployed application.