Github vs Linkedin Activity Visualizer Example

visualize.py

import requests
from datetime import datetime, timedelta
import dash
from dash import html, dcc
import plotly.graph_objs as go
from dash.dependencies import Input, Output
from bs4 import BeautifulSoup

# GitHub setup
GITHUB_TOKEN = 'your_github_token_here'  # Replace with your GitHub token
ORGANIZATION = 'womenplusplus'

# Get Github activity (i.e. https://api.github.com/orgs/womenplusplus/events)
def get_github_activity():
    headers = {'Authorization': f'token {GITHUB_TOKEN}'}
    yesterday = datetime.now() - timedelta(days=1)
    date_str = yesterday.strftime('%Y-%m-%d')
    url = f'https://api.github.com/orgs/{ORGANIZATION}/events'
    response = requests.get(url, headers=headers)
    events = response.json()
    # TODO Count events for the specified day
    count = 10
    return count

# Get linkedin posts via BeautifulSoup (i.e. URL https://www.linkedin.com/search/results/content/?keywords=womenplusplus&origin=SWITCH_SEARCH_VERTICAL&sid=Dq6)
def get_linkedin_activity():
    # TODO get Linkedin data here
    linkedin_count = 10  # Placeholder count
    return linkedin_count

# Initialize Dash app
app = dash.Dash(__name__)

app.layout = html.Div([
    dcc.Graph(id='github-vs-linkedin'),
    dcc.Interval(
            id='interval-component',
            interval=1*86400000,  # in milliseconds (1 day)
            n_intervals=0
    )
])

# Update function for the Dash app
@app.callback(Output('github-vs-linkedin', 'figure'),
              [Input('interval-component', 'n_intervals')])
def update_graph(n):
    # Fetch GitHub and LinkedIn data
    github_count = get_github_activity()
    linkedin_count = get_linkedin_activity()

    # Create the bar graph
    fig = go.Figure(data=[
        go.Bar(name='GitHub', x=['GitHub'], y=[github_count]),
        go.Bar(name='LinkedIn', x=['LinkedIn'], y=[linkedin_count])
    ])
    
    # Update layout
    fig.update_layout(barmode='group')
    return fig

# Run the app
if __name__ == '__main__':
    app.run_server(debug=True)