85 lines
2.0 KiB
Python
85 lines
2.0 KiB
Python
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from sanic import Sanic
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from sanic_session import InMemorySessionInterface
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from sanic_jinja2 import SanicJinja2
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import json
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import plotly
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import pandas as pd
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import numpy as np
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app = Sanic(__name__)
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jinja = SanicJinja2(app)
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session = InMemorySessionInterface(cookie_name=app.name, prefix=app.name)
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@app.middleware('request')
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async def print_on_request(request):
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print(request.headers)
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await session.open(request)
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@app.middleware('response')
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async def print_on_response(request, response):
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await session.save(request, response)
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@app.route('/')
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async def index(request):
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rng = pd.date_range('1/1/2011', periods=7500, freq='H')
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ts = pd.Series(np.random.randn(len(rng)), index=rng)
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graphs = [
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dict(
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data=[
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dict(
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x=[1, 2, 3],
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y=[10, 20, 30],
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type='scatter'
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),
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],
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layout=dict(
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title='first graph'
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)
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),
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dict(
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data=[
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dict(
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x=[1, 3, 5],
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y=[10, 50, 30],
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type='bar'
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),
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],
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layout=dict(
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title='second graph'
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)
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),
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dict(
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data=[
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dict(
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x=ts.index, # Can use the pandas data structures directly
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y=ts
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)
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]
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)
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]
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# Add "ids" to each of the graphs to pass up to the client
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# for templating
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ids = ['graph-{}'.format(i) for i, _ in enumerate(graphs)]
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# Convert the figures to JSON
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# PlotlyJSONEncoder appropriately converts pandas, datetime, etc
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# objects to their JSON equivalents
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graphJSON = json.dumps(graphs, cls=plotly.utils.PlotlyJSONEncoder)
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return jinja.render('index.html', request,
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ids=ids,
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graphJSON=graphJSON)
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if __name__ == '__main__':
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app.run(host='0.0.0.0', port=8000, debug=True)
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