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app.py
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from sanic import Sanic
from sanic_session import InMemorySessionInterface
from sanic_jinja2 import SanicJinja2
import json
import plotly
import pandas as pd
import numpy as np
app = Sanic(__name__)
jinja = SanicJinja2(app)
session = InMemorySessionInterface(cookie_name=app.name, prefix=app.name)
@app.middleware('request')
async def print_on_request(request):
print(request.headers)
await session.open(request)
@app.middleware('response')
async def print_on_response(request, response):
await session.save(request, response)
@app.route('/')
async def index(request):
rng = pd.date_range('1/1/2011', periods=7500, freq='H')
ts = pd.Series(np.random.randn(len(rng)), index=rng)
graphs = [
dict(
data=[
dict(
x=[1, 2, 3],
y=[10, 20, 30],
type='scatter'
),
],
layout=dict(
title='first graph'
)
),
dict(
data=[
dict(
x=[1, 3, 5],
y=[10, 50, 30],
type='bar'
),
],
layout=dict(
title='second graph'
)
),
dict(
data=[
dict(
x=ts.index, # Can use the pandas data structures directly
y=ts
)
]
)
]
# Add "ids" to each of the graphs to pass up to the client
# for templating
ids = ['graph-{}'.format(i) for i, _ in enumerate(graphs)]
# Convert the figures to JSON
# PlotlyJSONEncoder appropriately converts pandas, datetime, etc
# objects to their JSON equivalents
graphJSON = json.dumps(graphs, cls=plotly.utils.PlotlyJSONEncoder)
return jinja.render('index.html', request,
ids=ids,
graphJSON=graphJSON)
if __name__ == '__main__':
app.run(host='0.0.0.0', port=8080, debug=True)