https://github.com/nprapps/comida

Food options near NPR HQ - Using Slack Custom Commands & AWS API Gateway & AWS Lambda
https://github.com/nprapps/comida

lambda slack

Last synced: about 1 month ago
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Food options near NPR HQ - Using Slack Custom Commands & AWS API Gateway & AWS Lambda

• Host: GitHub
• URL: https://github.com/nprapps/comida
• Owner: nprapps
• Created: 2017-02-22T17:21:41.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2017-02-22T22:42:13.000Z (almost 8 years ago)
• Last Synced: 2024-11-07T04:43:17.712Z (3 months ago)
• Topics: lambda, slack
• Language: Python
• Homepage:
• Size: 6.84 KB
• Stars: 0
• Watchers: 7
• Forks: 3
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
comida

==============

* [What is this?](#what-is-this)

* [Assumptions](#assumptions)

* [What's in here?](#whats-in-here)

* [Bootstrap the project](#bootstrap-the-project)

* [Run 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/](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](https://pypi.python.org/pypi/virtualenv) and [virtualenvwrapper](https://pypi.python.org/pypi/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](http://blog.apps.npr.org/2013/06/06/how-to-setup-a-developers-environment.html).

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](http://docs.fabfile.org/en/latest/) commands for automating setup and deployment

* ``requirements.txt`` -- Python requirements.

Bootstrap the project

---------------------

To bootstrap the project:

```

cd comida

mkvirtualenv comida

pip 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:

```

fab deploy:FUNCTION_NAME

```

Where `FUNCTION_NAME` is the name of the created lambda function