gcs

Google Cloud Functions Recipes

Cloud Storage

Overview

This recipe demonstrates how to load a file from Cloud Storage

Replace [PROJECT-ID] with your Cloud Platform project ID

Cooking the Recipe

1. Follow the Cloud Functions quickstart guide to setup Cloud Functions for your project

2. Clone this repository

   cd ~/
   git clone https://github.com/jasonpolites/gcf-recipes.git
   cd gcf-recipes/gcs
   

3. Create a Cloud Storage Bucket to stage our deployment

   gsutil mb gs://[PROJECT-ID]-gcf-recipes-bucket
   

4. Upload the sample file to the bucket

   gsutil cp sample.txt gs://[PROJECT-ID]-gcf-recipes-bucket
   

5. Deploy the "wordCount" function with an HTTP trigger

   gcloud alpha functions deploy wordCount --bucket [PROJECT-ID]-gcf-recipes-bucket --trigger-http --entry-point map
   

6. Call the "wordCount" function using the sample file

   gcloud alpha functions call wordCount --data '{"bucket": "[PROJECT-ID]-gcf-recipes-bucket", "file": "sample.txt"}'
   

You should see something like this in your console

The file sample.txt has 114 words

Running Tests

This recipe comes with a suite of unit tests. To run the tests locally, just use npm test

npm install
npm test

The tests will also produce code coverage reports, written to the /coverage directory. After running the tests, you can view coverage with

open coverage/lcov-report/index.html