🧑‍💻 intern-botweet

I started a thread on my twitter account on my first day as a 3-month backend intern and decided to tweet about my everyday impression, so I thought I may build a custom twitter CLI client, that analyzes the tone of my tweet to tag each day with a numbered impression and then post it on behalf of me.

Used services

1. IBM Watson's API

2. Twitter API

Getting Started ⌛

• Getting started with IBM Watson API

  • Get your keys and add them to services/tone_analyzer.py

    API_KEY = 'API_KEY'
    SERVICE_URL = 'SERVICE_URL'

• Getting started with Twitter API

  • Create a Twitter App. Click the “Create New App” button and fill out the fields on the next page.

  • Once your app is created, you’ll be directed to a new page showing you some information about it.

  • Click on the Keys and Access Tokens tab on the top there.

  • At this point, you can add the keys which are under Your Application Tokens to test out your application, specifically at services/twitter.py.

    CONSUMER_KEY = 'CONSUMER_KEY'
    CONSUMER_SECRET = 'CONSUMER_SECRET'
    ACCESS_TOKEN = 'ACCESS_TOKEN'
    ACCESS_TOKEN_SECRET = 'ACCESS_TOKEN_SECRET'

Commands

Test

• Synopsis

test [OPTIONS] [TWEET TEXT]

• Description

  • Logs the tweet with tone analysis if stats option is included.

• Options

  • -s, --stats Analyze tone of the tweet text and include it in the tweet.
  • -t Post the tweet without prompt.
  • -v, --verbose Logs metadata of the tweet after posting.

Tweet

• Synopsis

tweet [OPTIONS] [TWEET TEXT]

• Description

  • Post the tweet with tone analysis if stats option is included.

• Options

  • -s, --stats Analyze tone of the tweet text and include it in the tweet.
  • -y Post the tweet without prompt.
  • -v, --verbose Logs metadata of the tweet after posting.

slti

• Synopsis

slti [TWEET ID]

• Description

  • Sets the last tweet id in the persistent cache.

rd

• Synopsis

rd

• Description

  • Prints remaining days and business days.