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import dash
import time
import sys
import json
from dash import dcc
from dash import html
from dash import dash_table
import pandas as pd
import plotly.express as px
df = pd.DataFrame()
dg = pd.DataFrame(columns=['lati', 'long', 'alti', 'rssi', 'snr', 'rttt', 'temp', 'humi', 'pres', 'voc'], dtype=float)
with open('save.csv') as f:
for i, line in enumerate(f):
dg.loc[i] = pd.Series(json.loads(line))
savepos = f.tell()
dg = dg.fillna(0.0)
print('len', len(dg.index))
fig = px.scatter_map(dg, lat='lati', lon='long',color="rssi", opacity=0.5, size='temp', size_max=10, map_style="open-street-map", color_continuous_scale='jet', zoom=13, height=500)
#fig.show()
#app = dash.Dash(__name__)
#app.layout = html.Div([
# html.H4('Dashboard'),
# #dcc.Interval('graph-update', interval = 10000, n_intervals = 0),
# dcc.Graph(id='map', figure=fig),
#
# #dash_table.DataTable( id = 'table', data = df.to_dict('records'), columns=[{"name": i, "id": i} for i in df.columns])])
# ])
app = dash.Dash()
app.layout = html.Div([
dcc.Interval('graph-update', interval = 10000, n_intervals = 0),
dcc.Graph(id='fig', figure=fig),
])
t = 0
@app.callback(
dash.dependencies.Output('fig','figure'),
[dash.dependencies.Input('graph-update', 'n_intervals')])
def updateTable(n):
global dg
global savepos
global t
global fig
print(time.time() - t)
t = time.time()
mi = max(dg.index)
with open('save.csv') as f:
f.seek(savepos)
for i, line in enumerate(f):
print(line)
dg.loc[mi+1+i] = pd.Series(json.loads(line)).fillna(0)
savepos = f.tell()
return fig
if __name__ == '__main__':
app.run(debug=True, port=10451)
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