Pi GPIO live data (hall efect sensor) to PyGal

Hi, im clueless how to add this code that i get from others to be implement in PyGal

i dont need yet to store the data.. just need a realtime graphing in milliseconds..

`@app.route('/thing')
def thing():
def read_thing_state():
while True:
thing_state = { 'rpm' : get_rpm(),
'speed' : get_speed(),
'distance' : get_distance(),
'elapse' : get_elapse(),
'multiplier' : get_multiplier() }

yield 'data:{0}\n\n'.format(json.dumps(thing_state))
return Response(read_thing_state(), mimetype='text/event-stream')`

with PyGal SolidGauge

`@app.route('/pygalexample/')
def pygalexample():
try:
gauge = pygal.SolidGauge(
half_pie=True, inner_radius=0.80,
style=pygal.style.styles['default'](value_font_size=50))
percent_formatter = lambda x: '{:.10g}%'.format(x)
dollar_formatter = lambda x: '{:.10g}$'.format(x)
gauge.value_formatter = percent_formatter
gauge.add('Series 5', [{'value': 225000, 'max_value': 1275000}],
formatter=dollar_formatter)
gauge_data = gauge.render_data_uri()
return render_template("graphing.html", gauge_data = gauge_data)
except Exception, e:
return(str(e))`

best regards

No repository file or test is named. Start by locating the Flask routes and the existing PyGal SolidGauge example, then determine how the Raspberry Pi hall-effect readings should reach the graph; done means realtime updates are visible without storing the data.

Written by the indexing model from the issue text.