File size: 1,333 Bytes
a4af9c5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 | from flask import Flask, render_template, request, jsonify
import altair as alt
import numpy as np
import pandas as pd
import json
app = Flask(__name__)
@app.route('/')
def index():
return render_template('index.html')
@app.route('/health')
def health():
return {'status': 'healthy'}
@app.route('/generate_chart', methods=['POST'])
def generate_chart():
data = request.get_json()
num_points = data.get('num_points', 1100)
num_turns = data.get('num_turns', 31)
# Generate spiral data
indices = np.linspace(0, 1, num_points)
theta = 2 * np.pi * num_turns * indices
radius = indices
x = radius * np.cos(theta)
y = radius * np.sin(theta)
df = pd.DataFrame({
"x": x,
"y": y,
"idx": indices,
"rand": np.random.randn(num_points),
})
# Create Altair chart
chart = alt.Chart(df, height=700, width=700).mark_point(filled=True).encode(
x=alt.X("x", axis=None),
y=alt.Y("y", axis=None),
color=alt.Color("idx", legend=None, scale=alt.Scale()),
size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
)
# Convert chart to JSON
chart_json = chart.to_json()
return jsonify({'chart': chart_json})
if __name__ == '__main__':
app.run(host='0.0.0.0', port=8501, debug=True) |