https://github.com/sameetandpotatoes/swocker

Get company tweets, predict company stocks.
https://github.com/sameetandpotatoes/swocker

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Get company tweets, predict company stocks.

• Host: GitHub
• URL: https://github.com/sameetandpotatoes/swocker
• Owner: sameetandpotatoes
• Created: 2015-09-18T20:11:05.000Z (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2015-10-13T16:24:44.000Z (over 10 years ago)
• Last Synced: 2025-03-16T03:34:07.226Z (over 1 year ago)
• Language: Python
• Size: 7.14 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
URL

======

http://swocker-ssapra.rhcloud.com

Project Description

======

The goal of this project was to map twitter sentiments to a company to actual Twitter stock prices. To accomplish this, we wrote a Flask-based web application with a SQL database. We used Twitter's API and Yahoo's stock API. Our database has a Company and a Tweet model with a "has_many" relationship (i.e a Company has many Tweets).

Advantages of using a database include really fast indexing of data, and also the potential to store a lot more than a week's worth of historical Twitter data.

Screenshots

=======

![](https://copy.com/b34zK2narGYXH2jF)

![](https://copy.com/rtMqw9Oh1FemdFvY)

Dependencies:

=======

Install `command line tools`:

    xcode-select –install

Install `brew`:

    ruby -e “$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)”

    brew doctor

Install `Python (2.7)`:

    brew install python

Install `virtualenv`:

    pip install virtualenv

Install [`mysql (5.5)`](https://dev.mysql.com/downloads/mysql/5.5.html)

Downloading the Code

===

    git clone https://github.com/sameetandpotatoes/Swocker.git

Make sure you have run `bin/activate` to activate the virtualenv, and then run the following commands to install all necessary dependencies inside the virtualenv:

    pip install -r requirements.txt

###`secrets.py` is organized like this inside the swocker folder:###

    ALCHEMY_CODES = [

        ''

    ]

    TWITTER_CODES = [

        {

            'CONSUMER_KEY': '',

            'CONSUMER_SECRET': '',

            'ACCESS_TOKEN': '',

            'ACCESS_SECRET': ''

        },

    ]

Create a file `secrets.py` in the app directory with `touch secrets.py`, and copy the default format.

Fill in your API keys, we'll collect everyone's when we deploy / store them as environment variables in production eventually

### Creating the Database

**Note: You only have to do this if there isn't an app.db file. Basically, ignore the rest of the instructions, this is just things that I had to do to get things working**

- Run `python db_create.py` to create the database

- Run `python db_migrate.py` to migrate the database

- Open up the python shell (On Mac, just type `python`)

- `from swocker import company`

- `company.load_objects_into_database()`

- All companies are now created. You can see them all with:

- `from swocker.models import *`

- `Company.query.all()`

- Now, to get some tweets in there:

- `from swocker import tasks`

- `tasks.store_tweets_in_database()`

This won't complete all the way. Wait about a day, then rerun.

## RabbitMQ and Celery Set Up:

To get this running on a deployed server, you need RabbitMQ and Celery. If you want to try to simulate this on your computer, you need all three of these commands running at the same time:

- `rabbitmq-server`

- `celery -A app.tasks.celery worker --loglevel=info`

- `celery -A app.tasks.celery beat`

You won't see anything for a day or so (you can change the frequency of the task if you want in `tasks.py`)

- `Ctrl + D` to exit the shell

Running the App

===

- Then run the app with `python app.py`. You'll see data instantly for the companies that we have tweets for!