nprapps/comida

Name: comida

Owner: NPR visuals team

Description: Food options near NPR HQ - Using Slack Custom Commands & AWS API Gateway & AWS Lambda

Created: 2017-02-22 17:21:41.0

Updated: 2017-02-22 18:20:57.0

Pushed: 2017-02-22 22:42:13.0

Homepage: null

Size: 7

Language: Python

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README

comida

• What is this?
• Assumptions
• What's in here?
• Bootstrap the project
• Run the project

What is this?

Hungry? comida uses a combination of slack custom command & aws API gateway & aws lambda functions to scrape the real time data at http://foodtruckfiesta.com/ and send it back to you.

Assumptions

The following things are assumed to be true in this documentation.

• You are running OSX.
• You are using Python 2.7. (Probably the version that came OSX.)
• You have virtualenv and virtualenvwrapper installed and working.
• You have NPR's AWS credentials stored as environment variables locally.

For more details on the technology stack used with the app-template, see our development environment blog post.

What's in here?

The project contains the following folders and important files:

• dispatcher – Where are dispatcher lambda function code lives
• worker– Where the worker lambda function code lives
• test– local tests to check that our scraper works locally
• data – Data files, such as those used to generate HTML.
• fabfile.py – Fabric commands for automating setup and deployment
• requirements.txt – Python requirements.

Bootstrap the project

To bootstrap the project:

omida
rtualenv comida
install -r requirements.txt

Run the project

Review the code for your lambda function, include all the required libraries in code/requirements.txt

Create a function in your AWS lambda environment.

Then run:

deploy:FUNCTION_NAME

Where FUNCTION_NAME is the name of the created lambda function