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app.py
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from flask import Flask, request, Response, render_template_string
from flask_cors import CORS
import sqlite3
import pandas as pd
from datetime import datetime, timedelta
import io
import matplotlib.pyplot as plt
import matplotlib.dates as mdates
app = Flask(__name__)
CORS(app)
# HTML template for the root page
HOME_PAGE = """
<!DOCTYPE html>
<html>
<head>
<title>GitHub Visit Counter</title>
<style>
body {
font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Helvetica, Arial, sans-serif;
line-height: 1.6;
color: #24292e;
max-width: 800px;
margin: 0 auto;
padding: 2rem;
}
pre {
background-color: #f6f8fa;
border-radius: 6px;
padding: 16px;
overflow: auto;
}
code {
font-family: SFMono-Regular, Consolas, 'Liberation Mono', Menlo, monospace;
font-size: 85%;
}
.example {
margin: 2rem 0;
padding: 1rem;
border: 1px solid #e1e4e8;
border-radius: 6px;
}
</style>
</head>
<body>
<h1>GitHub Visit Counter</h1>
<p>This service generates a dynamic visitor count badge for your GitHub repository.</p>
<h2>Usage</h2>
<p>Add this badge to your repository by adding the following line to your README.md:</p>
<pre><code>[](https://github-visit-counter.onrender.com/badge/your-repo-name)</code></pre>
<div class="example">
<h3>Example</h3>
<p>To test the badge, visit:</p>
<a href="/badge/test-repo">/badge/test-repo</a>
</div>
<h2>Features</h2>
<ul>
<li>Tracks unique visitors using IP addresses</li>
<li>Shows last 7 days of visitor statistics</li>
<li>Displays total visitor count</li>
<li>Updates in real-time</li>
<li>Clean, minimal design</li>
</ul>
<h2>API Endpoints</h2>
<ul>
<li><code>/</code> - This documentation page</li>
<li><code>/badge/<repository></code> - Get visitor badge for a specific repository</li>
</ul>
</body>
</html>
"""
# Style configurations
plt.style.use('seaborn-v0_8-darkgrid')
BRAND_RED = '#e41a1c'
BACKGROUND_COLOR = '#ffffff'
GRID_COLOR = '#e0e0e0'
TEXT_COLOR = '#2d3436'
THRESHOLD_COLOR = '#34495e'
def init_db():
conn = sqlite3.connect('visits.db')
c = conn.cursor()
c.execute('''CREATE TABLE IF NOT EXISTS visits
(ip TEXT, timestamp TEXT, repository TEXT)''')
conn.commit()
conn.close()
@app.route('/')
def home():
"""Display documentation and usage instructions"""
return render_template_string(HOME_PAGE)
def get_visit_stats(repository):
conn = sqlite3.connect('visits.db')
# Dynamic date range calculation - always gets last 7 days including today
end_date = datetime.now().date()
start_date = end_date - timedelta(days=6)
query = '''
SELECT
date(timestamp) as date,
COUNT(DISTINCT ip) as visitors
FROM visits
WHERE
repository = ? AND
date(timestamp) >= date('now', '-6 days')
GROUP BY date(timestamp)
ORDER BY date ASC
'''
df = pd.read_sql_query(query, conn, params=(repository,))
df['date'] = pd.to_datetime(df['date'])
# Fill in missing dates with zero visits
date_range = pd.date_range(end=pd.Timestamp.now(), periods=7)
df = df.set_index('date').reindex(date_range, fill_value=0)
df = df.reset_index()
df.columns = ['date', 'visitors']
# Get all-time total unique visitors
total_visitors = pd.read_sql_query('''
SELECT COUNT(DISTINCT ip) as total
FROM visits
WHERE repository = ?
''', conn, params=(repository,)).iloc[0]['total']
conn.close()
return df, total_visitors
@app.route('/badge/<repository>')
def generate_badge(repository):
# Record the visit
visitor_ip = request.remote_addr
conn = sqlite3.connect('visits.db')
c = conn.cursor()
c.execute('INSERT INTO visits VALUES (?, ?, ?)',
(visitor_ip, datetime.now().isoformat(), repository))
conn.commit()
conn.close()
# Get visit statistics
df, total_visitors = get_visit_stats(repository)
# Create the visualization with smaller dimensions
fig, ax = plt.subplots(figsize=(4, 2), facecolor=BACKGROUND_COLOR)
# Plot thinner bars
bars = ax.bar(df['date'], df['visitors'],
color=BRAND_RED, alpha=0.8,
width=pd.Timedelta(days=0.5)) # Reduced width
# Set y-axis thresholds
max_visits = max(df['visitors'].max(), 200) # At least show up to 200
thresholds = [50, 100, 150, 200]
thresholds = [t for t in thresholds if t <= max_visits * 1.2]
ax.set_yticks(thresholds)
ax.set_ylim(0, max(thresholds) * 1.2)
# Add threshold lines
for threshold in thresholds:
ax.axhline(y=threshold, color=THRESHOLD_COLOR,
linestyle='--', alpha=0.3)
# Customize appearance
ax.set_facecolor(BACKGROUND_COLOR)
# Remove top and right spines
ax.spines['top'].set_visible(False)
ax.spines['right'].set_visible(False)
ax.spines['left'].set_color(GRID_COLOR)
ax.spines['bottom'].set_color(GRID_COLOR)
# Customize grid
ax.grid(True, axis='y', linestyle='--', alpha=0.7, color=GRID_COLOR)
# Format x-axis with improved date handling
def format_date(x, p):
date = mdates.num2date(x)
if date.day == 1:
# Show month name on the first day
return date.strftime('%b %d')
return date.strftime('%d')
ax.xaxis.set_major_formatter(plt.FuncFormatter(format_date))
ax.xaxis.set_major_locator(mdates.DayLocator())
# Add week boundary markers
for date in df['date']:
if date.weekday() == 0: # Monday
ax.axvline(x=date, color=GRID_COLOR,
linestyle=':', alpha=0.5)
# Rotate and align date labels
plt.xticks(df['date'], rotation=0, ha='center')
# Ensure x-axis always shows exactly 7 days
ax.set_xlim(df['date'].iloc[0] - pd.Timedelta(hours=12),
df['date'].iloc[-1] + pd.Timedelta(hours=12))
# Add total visits text with smaller font
ax.text(0.98, 0.92, f'{total_visitors} Total Visits',
transform=ax.transAxes,
color=TEXT_COLOR,
fontsize=8,
fontweight='bold',
ha='right')
# Add website URL with smaller font
plt.figtext(0.98, 0.02, 'visit-counter',
ha='right',
color=TEXT_COLOR,
fontsize=6,
style='italic')
# Adjust layout
plt.tight_layout()
# Save to SVG
img_bytes = io.BytesIO()
plt.savefig(img_bytes, format='svg',
bbox_inches='tight',
dpi=300,
facecolor=BACKGROUND_COLOR)
plt.close()
# Create response with headers
response = Response(img_bytes.getvalue(), mimetype='image/svg+xml')
# Add CORS and cache control headers
response.headers['Access-Control-Allow-Origin'] = '*'
response.headers['Cache-Control'] = 'no-cache, no-store, must-revalidate'
response.headers['Pragma'] = 'no-cache'
response.headers['Expires'] = '0'
return response
if __name__ == '__main__':
init_db()
app.run(host='0.0.0.0', port=9090)