Using the Twitter API client with Google Cloud Functions

Overview

This sample demonstrates use of the Twitter API client with Google Cloud Functions on the Python 3.7 runtime.

Set up your local development environment

Pre-requisites

The Python 3.7 interpreter
pip
virtualenv
curl
Developer credentials for the Twitter API
The gcloud command-line tool

Create and activate a virtual environment

Use virtualenv to create a python3 virtual environment:

$ virtualenv --python python3 env

Activate your newly-created virtual environment:

$ source env/bin/activate

Install dependencies

Use pip to install project dependencies:

pip install -r requirements.txt

Run locally

Execute the bin/test-local script to run your function locally using Flask's local development server:

$ bash bin/test-local
 * Serving Flask app "test" (lazy loading)
 * Environment: production
   WARNING: Do not use the development server in a production environment.
   Use a production WSGI server instead.
 * Debug mode: on
 * Running on http://127.0.0.1:8080/ (Press CTRL+C to quit)
 * Restarting with stat
 * Debugger is active!
 * Debugger PIN: 185-903-498

Now open another shell and use curl to send a query to your local function:

$ curl -d '{"keyword":"cats"}' -H "Content-Type: application/json" -X POST http://127.0.0.1:8080

Deploy your function

Execute the bin/test-local script to deploy a function named twitter_client using gcloud:

$ bash bin/deploy
Deploying function (may take a while - up to 2 minutes)...done.

Alternatively, you can paste the code from main.py and requirements.txt into the Google Cloud Console.

Test your deployed function

Execute the bin/test-deployed script to send an HTTP request to your deployed function:

$ bash bin/test-deployed

stewartreichling/google-cloud-functions_python_twitter