Get your wakatime spend on languages and create an ascii chart.

get_wakatime_to_ascii.py

import requests, json, os

# To get the WAKATIME_JSON_URL_PER_LANGUAGE
# Go to https://wakatime.com/share/embed, choose JSON format, choose languages chart type
# Click on "Get Embeddable Code", copy the url that it'll show
resp = requests.get(os.environ.get('WAKATIME_URL'))

data = []

for wakadata in resp.json()["data"]:
    data.append((wakadata["name"], wakadata["percent"]))

# Thanks to @alexwlchan for this post:
# https://alexwlchan.net/2018/05/ascii-bar-charts/
# This code is exactly as yours.
max_value = max(count for _, count in data)
increment = max_value / 25

longest_label_length = max(len(label) for label, _ in data)

output = ""

for label, count in data:
    
    round(count, 2)

    bar_chunks, remainder = divmod(int(count * 8 / increment), 8)

    bar = chr(9619) * bar_chunks

    if remainder > 0:
        bar += chr(9619)

    bar = bar or ""

    output += f'{label.rjust(longest_label_length)} - {count:#5.2f}% {bar} \n'

# You can find this here: 
# https://help.github.com/en/github/authenticating-to-github/creating-a-personal-access-token-for-the-command-line
github_token = os.environ.get('GITHUB_TOKEN')
gist_id = os.environ.get('GIST_ID') # the one on your gist URL

# You need to create (or change the name below) a file called weekly_development_breakdown.txt on your gist
data = {
    "files": {
        "weekly_development_breakdown.txt": {
            "content": output,
            "filename": "weekly_development_breakdown.txt"
        }
    }
}

headers = {"Authorization": "token " + github_token}

gist = requests.patch("https://api.github.com/gists/" + gist_id, data=json.dumps(data), headers=headers)

print(gist.json())

# Inspired by @malukenho that created this gist:
# https://gist.github.com/malukenho/4af1e0bbba4f0a379e8f47f771a6ca1f

output_example.txt

       SQL - 92.20% ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓
      YAML -  5.24% ▓▓
       PHP -  2.28% ▓
     Other -  0.24% 
JavaScript -  0.04% 
      JSON -  0.00% 
  Markdown -  0.00%