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Dash_Sensores_Reactor - WEB.py
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Dash_Sensores_Reactor - WEB.py
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import os
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output, State
import dash_daq as daq
import serial
import time
from collections import deque
import plotly.graph_objs as go
import random
GRAPH_INTERVAL = os.environ.get("GRAPH_INTERVAL",1000)
app = dash.Dash(__name__)
server = app.server
#ARDUINO
#ser = serial.Serial('COM4', baudrate=9600,timeout=5)
#ser.flush()
##arduino = serial.Serial('/dev/ttyACM0', baudrate=9600, timeout=1.0)
##arduino.setDTR(False)
##arduino.flushInput()
##time.sleep(1)
##arduino.setDTR(True)
#TAMAÑO ARREGLOS
tamaño = 50
tiempo = range(0,50,1)
t =deque(maxlen=tamaño)
t.append(0)
Concentracion_H2 = deque(maxlen=tamaño)
Flujo_H2 = deque(maxlen=tamaño)
Presion_T = deque(maxlen=tamaño)
Generacion_V = deque(maxlen=tamaño)
Generacion_I = deque(maxlen=tamaño)
Generacion_P = deque(maxlen=tamaño)
Consumo_V = deque(maxlen=tamaño)
Consumo_I = deque(maxlen=tamaño)
Consumo_P = deque(maxlen=tamaño)
#DEFINICIONES
colores = {'fondo': '#FFFFFF','texto': '#111111'}#7FDBFF #082255
variables_1 = {"Concentracion de hidrogeno":Concentracion_H2,
"Flujo de hidrogeno":Flujo_H2,
"Presion del tanque":Presion_T}
variables_2 = {"Generacion panel v": Generacion_V,
"Generacion panel i": Generacion_I,
"Generacion panel p": Generacion_P,}
variables_3 = {"Consumo reactor v":Consumo_V,
"Consumo reactor i":Consumo_I,
"Consumo reactor p":Consumo_P,}
unidades = {"Concentracion de hidrogeno":"%H2",
"Flujo de hidrogeno":"m3/s",
"Presion del tanque": "PSI [lbf/in2]",
"Generacion panel v": "Voltios[v]",
"Generacion panel i": "Amperios[i]",
"Generacion panel p": "Vatios[W]",
"Consumo reactor v": "Voltios[v]",
"Consumo reactor i": "Amperios[i]",
"Consumo reactor p": "Vatios[W]"}
relleno = {"Concentracion de hidrogeno":"#B7E4F6",
"Flujo de hidrogeno":"#C9C2FF",
"Presion del tanque": "#DADADA",
"Generacion panel v": "#FCDEB8",
"Generacion panel i": "#EFF6C3",
"Generacion panel p": "#F2B2B2",
"Consumo reactor v": "#FCDEB8",
"Consumo reactor i": "#EFF6C3",
"Consumo reactor p": "#F2B2B2"}
linea = {"Concentracion de hidrogeno":"#4C8DA8",
"Flujo de hidrogeno":"#4C4DA8",
"Presion del tanque": "#838383",
"Generacion panel v": "#A8804C",
"Generacion panel i": "#92A245",
"Generacion panel p": "#B64444",
"Consumo reactor v": "#A8804C",
"Consumo reactor i": "#92A245",
"Consumo reactor p": "#B64444"}
tabs_styles = {'height': '40px'}
tab_style = {'borderBottom': '1px solid #d6d6d6',
'padding': '6px','fontWeight': 'bold'}
tab_selected_style = {'borderTop': '1px solid #d6d6d6',
'borderBottom': '1px solid #d6d6d6',
'backgroundColor': '#119DFF',
'color': 'white',
'padding': '6px'}
grid = {0:'col s12 m6 l4', 1: 'col s12', 2: 'col s12 m6 l6', 3: 'col s12 m6 l4'}
#LECTURA DE DATOS
def datos_sensores(Concentracion_H2,Flujo_H2,Presion_T,Generacion_V,Generacion_I,Generacion_P,Consumo_V,Consumo_I,Consumo_P):
#Recibir cadena de datos arduino
#string_datos= ser.readline()
#(H,F,G)= string_datos.decode().split(';')
#Definir y truncar valores
#CH ="{0:.1f}".format(float(H))
#FH ="{0:.3f}".format(float(F))
#GV =int(G)
#Valores para grafica
t.append(t[-1]+1)
Concentracion_H2.append(random.randrange(0,20))
Flujo_H2.append(5)
Presion_T.append(t[-1])
Generacion_V.append(t[-1])
Generacion_I.append(random.randrange(0,40))
Generacion_P.append(Generacion_V[-1]*Generacion_I[-1])
Consumo_V.append(15)
Consumo_I.append(random.randrange(0,12))
Consumo_P.append(Consumo_V[-1]*Consumo_I[-1])
return Concentracion_H2,Flujo_H2,Presion_T,Generacion_V,Generacion_I,Generacion_P,Consumo_V,Consumo_I,Consumo_P
Concentracion_H2,Flujo_H2,Presion_T,Generacion_V,Generacion_I,Generacion_P,Consumo_V,Consumo_I,Consumo_P = datos_sensores(Concentracion_H2,Flujo_H2,Presion_T,Generacion_V,Generacion_I,Generacion_P,Consumo_V,Consumo_I,Consumo_P)
#DISEÑO APLICACION
app.layout = html.Div([
dcc.Loading( id="loading-int",
children=[html.Div([html.Div(id="loading-tab")])],
fullscreen=True,
type="cube"),
dcc.Tabs(id="tabs",children=[
##TAB1
dcc.Tab(selected_className="hide-on-med-and-down",value='tab-1',label='Almacenamiento H2',style=tab_style, selected_style=tab_selected_style,
children=html.Div([
html.Div([
html.Div(className="row",children=[
html.H4([html.H4([('Sensores Hidrogeno')],className="center-align",)],className="col s12 m12 l3"),
html.Div([
html.Div([
html.P([
daq.LEDDisplay(
id='led1',
label="% H2",
labelPosition='bottom',
backgroundColor=colores['fondo'],
size=35,
value=0,
)
],className="col s12 m4 l4"),
html.P([
daq.LEDDisplay(
id='led2',
label="Flujo H2",
labelPosition='bottom',
backgroundColor=colores['fondo'],
size=35,
value=0,
),
],className="col s6 m4 l4"),
html.P([
daq.LEDDisplay(
id='led3',
label="Presion T",
labelPosition='bottom',
backgroundColor=colores['fondo'],
size=35,
value=0,
),
],className="col s6 m4 l4"),
],className="row"),
],className="col s6 m5 l3"),#Tamaño Leds
html.Div([
html.Div([
html.Div([
html.Div([html.Div(children='Tanque'),
daq.GraduatedBar(
id='tanque_bar',
step=2,
color={"gradient":True,"ranges":{"green":[0,80],"yellow":[80,150],"red":[150,200]}},
showCurrentValue=True,
min=0,
max=200,
value=0,
size=None,
)
],className="col s12 m12 l12"),
html.Div([html.Div(children='Zoom'),
dcc.Slider(
id='slider_1',
min=0,
max=20,
step=5,
value=0,
updatemode='drag',
marks={
0: {'label': '0X'},
5: {'label': '5X'},
10: {'label': '10X'},
15: {'label': '15X'},
20: {'label': '20X'},
},
)
],className="col s12 m12 l12"),
],className="row"),
],className="container"),
],className="col s6 m4 l3"),#Tamaño zomm y tanque
html.P([html.Div(children='Play/Stop'),
daq.PowerButton(
id='Inicio',
color='#FF5E5E',
on=True,
#className='btn-floating pulse',
)],className="col s3 m1 l1"), #Tamaño PLAY
html.Div([
html.Div([
html.Div([
html.P([
daq.Indicator(
id='indicador',
label="Control",
value=False,
)
],className="col s12 m12 l12"),
html.Div([
html.Button(
'On/Off',
id='Control',
n_clicks=0,
)
],className="col s12 m12 l12"),
],className="row"),
],className="valign-wrapper"),
],className="col s3 m2 l1"),#Tamaño Control
]),
],className="center-align"),
dcc.Dropdown(id='tipo_sensor_1',
options=[{'label': s, 'value': s}
for s in variables_1.keys()],
value=['Concentracion de hidrogeno','Flujo de hidrogeno','Presion del tanque'],
placeholder="Seleccionar sensor",
clearable=True,
multi=True,
style={'backgroundColor': colores['fondo']}
),
dcc.Loading(id="loading",
children=[html.Div([html.Div(id="loading-output")])],
type="default",
#style={'display': 'none'}
style={'position': 'absolute','float': 'left','left': '690px',
'margin-top':'-50px','margin-bottom': '10px'}
),
html.Div(children=html.Div(id='graficas_1'), className='row', style={'backgroundColor': colores['fondo']}),
dcc.Interval(
id='actualizar_1',
interval=int(GRAPH_INTERVAL),
n_intervals=0,
),
dcc.Interval(
id='actualizar_1b',
interval=1000,
n_intervals=0,
)
])),
##TAB 2
dcc.Tab(selected_className="hide-on-med-and-down",value='tab-2',label='Generacion Panel',style=tab_style, selected_style=tab_selected_style,
children=[
html.Div([
html.H2('Sensores Panel',
style={'float': 'left','margin-bottom': '35px','margin-top': '10px',
'color': colores['texto']}),
]),
daq.LEDDisplay(
id='led4',
label="Generacion V",
labelPosition='bottom',
backgroundColor=colores['fondo'],
value=0,
size=40,
style={'position': 'relative','float': 'left','left': '20px',
'height': '75px','margin-top':'10px','margin-bottom': '35px'}
),
daq.LEDDisplay(
id='led5',
label="Generacion I",
labelPosition='bottom',
backgroundColor=colores['fondo'],
value=0,
size=40,
style={'position': 'relative','float': 'left','left': '40px',
'height': '75px','margin-top':'10px','margin-bottom': '35px'}
),
daq.LEDDisplay(
id='led6',
label="Generacion P",
labelPosition='bottom',
backgroundColor=colores['fondo'],
value=0,
size=40,
style={'position': 'relative','float': 'left','left': '60px',
'height': '75px','margin-top':'10px','margin-bottom': '35px'}),
dcc.Dropdown(id='tipo_sensor_2',
options=[{'label': s, 'value': s}
for s in variables_2.keys()],
value=['Generacion panel v','Generacion panel i','Generacion panel p'],
placeholder="Seleccionar sensor",
clearable=False,
multi=True,
style={'backgroundColor': colores['fondo']}
),
dcc.Loading( id="loading_2",
children=[html.Div([html.Div(id="loading-output-2")])],
type="dot",
style={'position': 'absolute','float': 'left','left': '1060px',
'margin-top':'-100px','margin-bottom': '30px'}
),
html.Div(html.Div(id='graficas_2'), className='row', style={'backgroundColor': colores['fondo']}),
dcc.Interval(
id='actualizar_2',
interval=1*1000,
n_intervals=0
)
]),
##TAB 3
dcc.Tab(selected_className="hide-on-med-and-down",value='tab-3',label='Consumo Reactor',style=tab_style, selected_style=tab_selected_style,
children=[
html.Div([
html.H2('Sensores Reactor',
style={'float': 'left','margin-bottom': '35px','margin-top': '10px',
'color': colores['texto']}),
]),
daq.LEDDisplay(
id='led7',
label="Consumo V",
labelPosition='bottom',
backgroundColor=colores['fondo'],
value=0,
size=40,
style={'position': 'relative','float': 'left','left': '20px',
'height': '75px','margin-top':'10px','margin-bottom': '35px'}
),
daq.LEDDisplay(
id='led8',
label="Consumo I",
labelPosition='bottom',
backgroundColor=colores['fondo'],
value=0,
size=40,
style={'position': 'relative','float': 'left','left': '40px',
'height': '75px','margin-top':'10px','margin-bottom': '35px'}
),
daq.LEDDisplay(
id='led9',
label="Consumo P",
labelPosition='bottom',
backgroundColor=colores['fondo'],
value=0,
size=40,
style={'position': 'relative','float': 'left','left': '60px',
'height': '75px','margin-top':'10px','margin-bottom': '35px'}
),
dcc.Dropdown(id='tipo_sensor_3',
options=[{'label': s, 'value': s}
for s in variables_3.keys()],
value=['Consumo reactor v','Consumo reactor i','Consumo reactor p'],
placeholder="Seleccionar sensor",
clearable=False,
multi=True,
style={'backgroundColor': colores['fondo']}
),
dcc.Loading( id="loading_3",
children=[html.Div([html.Div(id="loading-output-3")])],
type="dot",
style={'position': 'absolute','float': 'left','left': '1060px',
'margin-top':'-100px','margin-bottom': '30px'}
),
html.Div(html.Div(id='graficas_3'), className='row', style={'backgroundColor': colores['fondo']}),
dcc.Interval(
id='actualizar_3',
interval=1*1000,
n_intervals=0
)
])
],style=tabs_styles)
])
#ACTUALIZACION DE GRAFICAS Y FUNCIONES
@app.callback(
[Output('led1', 'value'),
Output('led2', 'value'),
Output('led3', 'value')],
[Input('actualizar_1b', 'n_intervals')]) #Leds 1
def update_output(n):
value=Concentracion_H2[-1]
value1=Flujo_H2[-1]
value2=Presion_T[-1]
return str(value),str(value1),str(value2)
@app.callback(
Output('actualizar_1', 'max_intervals'),
[Input('Inicio', 'on')])
def update_output(on):
if on is True:
max_intervals=1000000000000
else:
max_intervals=0
return max_intervals
@app.callback(
Output('tanque_bar', 'value'),
[Input('actualizar_1', 'n_intervals')]) #Tanque
def update_output(n):
value=Presion_T[-1]
return value
@app.callback(
Output('indicador', 'value'),
[Input('Control', 'n_clicks')] #Control
)
def update_output(value):
if value % 2 is 0:
value = True
else:
value = False
return value
@app.callback(
[Output('led4', 'value'),
Output('led5', 'value'),
Output('led6', 'value')],
[Input('actualizar_2', 'n_intervals')]) # Leds 2
def update_output(n):
value3=Generacion_V[-1]
value4=Generacion_I[-1]
value5=Generacion_P[-1]
return str(value3),str(value4),str(value5)
@app.callback(
[Output('led7', 'value'),
Output('led8', 'value'),
Output('led9', 'value')],
[Input('actualizar_3', 'n_intervals')]) #Leds 3
def update_output(n):
value6=Consumo_V[-1]
value7=Consumo_I[-1]
value8=Consumo_P[-1]
return str(value6),str(value7),str(value8)
@app.callback(
Output('graficas_1','children'),
[Input('tipo_sensor_1', 'value'),Input('slider_1', 'value'),Input('actualizar_1', 'n_intervals')])
def update_graph(data_names,zoom,n):
graficas_1 = []
datos_sensores(Concentracion_H2,Flujo_H2,Presion_T,Generacion_V,Generacion_I,Generacion_P,Consumo_V,Consumo_I,Consumo_P)
for data_name in data_names:
data = go.Scatter(
x=list(tiempo),
y=list(variables_1[data_name]),
name='Datos',
mode= 'markers',
fill="tozeroy",
marker=dict(color=(linea[data_name])),
fillcolor=(relleno[data_name])
)
graficas_1.insert(0,html.Div(dcc.Graph(
id=data_name,
animate=False,
figure={'data': [data],'layout' : go.Layout(paper_bgcolor=colores['fondo'],
plot_bgcolor='rgba(0,0,0,0)',
font={'color': colores['texto']},
uirevision=True,
autosize=True,
transition={'duration': 5,'easing': 'cubic-in-out'},
xaxis=dict(range=[min(tiempo)+zoom,max(tiempo)-zoom],title='Tiempo [s]', ticklen= 3,autorange=False, zeroline=False, gridwidth= 1),
yaxis=dict(range=[min(variables_1[data_name]),max(variables_1[data_name])],autorange=False,title=(unidades[data_name]),ticklen= 5, gridwidth= 2),
margin={'l':50,'r':10,'t':80,'b':40},
title='{}'.format(data_name))}
),className=grid[len(data_names)]))
#graficas_1.reverse()
return graficas_1
@app.callback(Output("loading-output", "children"), [Input("tipo_sensor_1", "value")])
def delay(value):
time.sleep(0.3)
return None
@app.callback(
Output('graficas_2','children'),
[Input('tipo_sensor_2', 'value'),Input('actualizar_2', 'n_intervals')])
def update_graph(data_names,n):
graficas_2 = []
graficas_2.clear()
datos_sensores(Concentracion_H2,Flujo_H2,Presion_T,Generacion_V,Generacion_I,Generacion_P,Consumo_V,Consumo_I,Consumo_P)
for data_name in data_names:
data = go.Scatter(
x=list(t),
y=list(variables_2[data_name]),
name='Datos',
mode= 'lines',
fill="tozeroy",
marker=dict(color=(linea[data_name])),
fillcolor=(relleno[data_name])
)
graficas_2.insert(0,html.Div(dcc.Graph(
id=data_name,
animate=False,
figure={'data': [data],'layout' : go.Layout(paper_bgcolor=colores['fondo'],
plot_bgcolor='rgba(0,0,0,0)',
font={'color': colores['texto']},
uirevision=True,
autosize=True,
transition={'duration': 5,'easing': 'cubic-in-out'},
xaxis=dict(range=[min(t),max(t)],title='Tiempo [s]', ticklen= 3,autorange=False, zeroline=False, gridwidth= 1),
yaxis=dict(range=[min(variables_2[data_name]),max(variables_2[data_name])],autorange=False,title=(unidades[data_name]),ticklen= 5, gridwidth= 2),
margin={'l':50,'r':10,'t':100,'b':40},
title='{}'.format(data_name))}
),className=grid[len(data_names)]))
return graficas_2
@app.callback(Output("loading-output-2", "children"), [Input("tipo_sensor_2", "value")])
def delay(value):
time.sleep(0.3)
return None
@app.callback(
Output('graficas_3','children'),
[Input('tipo_sensor_3', 'value'),Input('actualizar_3', 'n_intervals')])
def update_graph(data_names,n):
graficas_3 = []
graficas_3.clear()
datos_sensores(Concentracion_H2,Flujo_H2,Presion_T,Generacion_V,Generacion_I,Generacion_P,Consumo_V,Consumo_I,Consumo_P)
for data_name in data_names:
data = go.Scatter(
x=list(tiempo),
y=list(variables_3[data_name]),
name='Datos',
mode= 'lines+markers',
fill="tozeroy",
marker=dict(color=(linea[data_name])),
fillcolor=(relleno[data_name])
)
graficas_3.insert(0,html.Div(dcc.Graph(
id=data_name,
animate=True,
figure={'data': [data],'layout' : go.Layout(paper_bgcolor=colores['fondo'],
plot_bgcolor='rgba(0,0,0,0)',
font={'color': colores['texto']},
uirevision=True,
autosize=True,
transition={'duration': 500,'easing': 'cubic-in-out'},
xaxis=dict(range=[min(tiempo),max(tiempo)],title='Tiempo [s]', ticklen= 3, autorange=False,zeroline=False, gridwidth= 1),
yaxis=dict(range=[min(variables_3[data_name]),max(variables_3[data_name])],autorange=False,title=(unidades[data_name]),ticklen= 5, gridwidth= 2),
margin={'l':50,'r':10,'t':100,'b':40},
title='{}'.format(data_name))}
),className=grid[len(data_names)]))
return graficas_3
@app.callback(Output("loading-output-3", "children"), [Input("tipo_sensor_3", "value")])
def delay(value):
time.sleep(0.3)
return None
@app.callback(
[Output("loading-tab", "children"),Output("loading-int", "type")], [Input("tabs", "value")])
def delay(tab):
type='graph'
time.sleep(0)
return None,type
#host = socket.gethostbyname(socket.gethostname())
if __name__ == '__main__':
app.run_server(debug=True) ##host=host