LinkedIn Professional - Generating Tech Jargon with DeepAI Text Generator

radar_base_url = 'https://www.thoughtworks.com/radar/'
quadrants = ['techniques', 'tools', 'platforms', 'languages-and-frameworks']

pip install beautifulsoup4==4.9.3 requests==2.25.1

from bs4 import BeautifulSoup
import os

radar_base_url = 'https://www.thoughtworks.com/radar/'
quadrants = ['techniques', 'tools', 'platforms', 'languages-and-frameworks']
skill_items = {}

def skills_from_html(html_target_radar):
    skill_group = {}
    options = ['adopt', 'trial', 'assess', 'hold']
    for option in options:
        radar_option = html_target_radar.find(id=option)
        items = radar_option.find_all('li')
        skill_group[option] = list(map(lambda x: x.find('a').text, items))
    return skill_group

def get_skill_items():
    # Only update the list if empty
    if not skill_items:
        for quadrant in quadrants:
            target_radar_url = radar_base_url + quadrant
            target_radar_page = requests.get(target_radar_url)
            target_radar_soup = BeautifulSoup(
                target_radar_page.content, 'html.parser')
            target_radar = target_radar_soup.find(id='responsive-tech-radar')
            skill_items[quadrant] = skills_from_html(target_radar)
    return skill_items

def random_skill(skill_items):
    quadrants = ['techniques', 'tools',
                 'platforms', 'languages-and-frameworks']
    options = ['adopt', 'trial', 'assess', 'hold']
    choice = None
    while choice is None:
        quadrant = random.choice(quadrants)
        option = random.choice(options)
        try:
            choice = random.choice(skill_items[quadrant][option])
        except:
            print('hello i am a mediocre dev')
    return choice

def get_phrase(skill_items):
    return 'I think that ' + random_skill(skill_items) + ' are ' + random_adjective() + ' and ' + random_skill(skill_items) + ' should strive to be more ' + random_adjective() + ' because'

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aws ssm put-parameter --overwrite \
    --name devopstar-deep-ai-token \
    --type String \
    --value $DEEP_AI_API_TOKEN

def generate_jargon(phrase):
    return requests.post(
        "https://api.deepai.org/api/text-generator",
        data={
            'text': phrase,
        },
        headers={'api-key': os.environ['DEEP_AI_TOKEN']}
    ).json()['output']

print(generate_jargon("I love cats alot because they are really fluffy and cool"))
# > I love cats alot because they are really fluffy and cool but I am always at that moment when I feel like the cats are my love and the cats are really great for me. Just as my love for cats has increased. I read that, you can watch my youtube stream that is where I post this.

# How have your cats come back to you in the past month or so in particular?

# Well, during our first months we had been very happy. It was really cool not knowing that what we were doing was supposed to hurt others. In the middle of all these years that we were living and doing such little things in a way to help people, we really, really fell all over themselves. I really felt that maybe I didn't fully realize all there really was. If someone would do something like that, maybe, I was going to get angry or something, and maybe just get really cold. And then I did a little play that, "Maybe I love cats for that reason!" and my cat came back so proud and happy that he really loves me and so happy to let go and have an open mind about the situation. But there was a part of me that really felt that it did not want to hurt us when the day we met, that didn't want her to hurt us, and so if I really think about it and take care of myself (and hopefully I do that all around the house), what kind of things do I want this cat to do