Flask Firebase REST API

This application includes a is a sample Flask app that uses firebase db Data is loaded from a cvs file to firebase The purpose of the app is to CRUD this data through an API Before we begin, you need a firebase account. Then you need to create a project -find this in the console here. Then we need to collect all the config values we need to run the application:

You can find all these values, going to your project, then to Authentication on the left side menu (as of october 2017 console interface) and on the top right you should see a 'WEB SETUP' button. There you will find all these values

Config Value	Description
ApiKey	Your primary Firebase project identifier - (https://console.firebase.google.com/u/0/YOURPROJECTID/settings/general).
AuthDomain	Used to authenticate.
DatabaseURL	The url to access your database.
StorageBucke	We might need not need this (as of the first objective[simple api crud]), but if you want to follow along, please copy this too.

Setting Up The Python Application

This application uses the lightweight Flask Framework.

Mac & Linux

Begin by creating a configuration file for your application:

cp .env.example .env

Edit .env with the four configuration parameters we gathered from above. Export the configuration in this file as system environment variables like so on Unix based systems:

source .env

Windows (PowerShell)

Begin by creating a configuration file for your application:

cp .env.example.ps1 .env.ps1

Edit .env.ps1 with the four configuration parameters we gathered from above. "Dot-source" the file in PowerShell like so:

. .\.env.ps1

This assumes you will run the application in the same PowerShell session. If not, edit the .env.ps1 and uncomment the [Environment]::SetEnvironmentVariable calls. After re-running the script, the environment variables will be peramently set for your user account.

All Platforms

Note: It's better if you do it on a virtual environment Next, we need to install our depenedencies:

pip install -r requirements.txt

Run the load_catalog using the python command.

python load_catalog.py

Run the application using the python command.

python app.py

Your application should now be running at http://localhost:5000.

There's just a few more steps to get to your server. You have two options here

##Option 1

1. Download and install ngrok

2. Run ngrok :

   ngrok http 5000

3. When ngrok starts up, it will assign a unique URL to your tunnel. It might be something like https://asdf456.ngrok.io. Take note of this.

You should now be ready to go testing the API! Next: Authentication and front-end

##Option 2

1. Deploy on Heroku

License

MIT