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app.py
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app.py
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import dash
import dash_core_components as dcc
import dash_html_components as html
import plotly.express as px
import pandas as pd
import dash_daq as daq
import plotly
import dash_auth
import csv
from dash.dependencies import Input, Output
import smtp_alert
#аутентификация
with open('login.txt', 'r') as f:
for line in f:
line = line.strip()
login, password = line.split(' ')
VALID_USERNAME_PASSWORD_PAIRS = {
login: password
}
# стиль
external_stylesheets = [
{
"href": "https://fonts.googleapis.com/css2?"
"family=Lato:wght@400;700&display=swap",
"rel": "stylesheet",
},
]
# приложение
app = dash.Dash(__name__, external_stylesheets=external_stylesheets)
server = app.server
auth = dash_auth.BasicAuth(
app,
VALID_USERNAME_PASSWORD_PAIRS
)
app.title = "Управление промышленными помещениями"
app.layout = html.Div([
html.Div(
children=[
html.H1(
children="Помещение 1", className="header-title"),
html.P(
children="Просмотр актуальных данных с датчиков.\n"
" Управление установленными устройствами.",
className="header-description",
),
],
className="header",
style={"margin-bottom": "25px"},
),
html.Div([
html.Div([
html.H4(
"Показатели:",
className="control_label",
),
html.Div([
html.Div(
[html.H6(id="temp_text"), html.P("Температура по Цельсию: "),
html.Div([
html.Div(id='live-update-text1'),
dcc.Interval(
id='interval-component1',
interval=2*1000, # in milliseconds
n_intervals=0
)
]),
html.P("Норма: 19-28 "),
html.P("Файл статистики: C:\ nucleo_klient \ temp.csv ")],
id="temp",
className="mini_container",
),
html.Div(
[html.H6(id="hum_text"), html.P("Влажность в %: "),
html.Div([
html.Div(id='live-update-text2'),
dcc.Interval(
id='interval-component2',
interval=2*1000, # in milliseconds
n_intervals=0
)
]),
html.P("Норма: 30-55 "),
html.P("Файл статистики: C:\ nucleo_klient \ hum.csv ")],
id="hum",
className="mini_container",
),
],)
],
className="pretty_container four columns",
id="left-column",
),
html.Div([
html.H4(
"Управление устройствами:",
style={
"margin-bottom": "15px",
},
className="control_label",
),
html.Div(
children=[
html.Div([
html.Div([
daq.BooleanSwitch(
id='switch1',
color="#ff9900",
label="Кондиционер",
labelPosition="top"
),
html.Div(id='boolean-switch1-output')
],),
],
id="ref1",
className="mini_container",
),
html.Div([
html.Div([
daq.BooleanSwitch(
id='switch2',
color="#ff9900",
label="Основное свещение",
labelPosition="top"
),
html.Div(id='boolean-switch2-output')
],),
],
id="ref2",
className="mini_container",
),
html.Div([
html.Div([
daq.BooleanSwitch(
id='switch3',
color="#ff9900",
label="Вентиляция",
labelPosition="top"
),
html.Div(id='boolean-switch3-output')
],),
],
id="ref3",
className="mini_container",
),
html.Div([
html.Div([
daq.BooleanSwitch(
id='switch4',
color="#ff9900",
label="Дополнительное освещение",
labelPosition="top"
),
html.Div(id='boolean-switch4-output')
],),
],
id="ref4",
className="mini_container",
),
],),
],
id="right-column",
className="pretty_container four columns"
),
],
className="row flex-display",
),
],
id="mainContainer",
style={"display": "flex", "flex-direction": "column"},
)
@app.callback(Output('live-update-text1', 'children'),
Input('interval-component1', 'n_intervals'))
def update_metrics(n):
with open("temp.csv","r") as file:
data = file.readlines()
lastRow = data[-1]
temp = lastRow[27]+lastRow[28]
t = int(temp)
indicator = "ТЕМПЕРАТУРА"
if t < 19:
smtp_alert.send_alert(indicator)
elif t > 28:
smtp_alert.send_alert(indicator)
style = {'padding': '5px', 'fontSize': '24px', 'font-weight' : 'bold',"color":"#ff7700",}
return [
html.Span(temp, style=style)
]
@app.callback(Output('live-update-text2', 'children'),
Input('interval-component2', 'n_intervals'))
def update_metrics(n):
with open("hum.csv","r") as file:
data = file.readlines()
lastRow = data[-1]
hum = lastRow[27]+lastRow[28]
h = int(hum)
indicator = "ВЛАЖНОСТЬ"
if h < 30:
smtp_alert.send_alert(indicator)
elif h > 55:
smtp_alert.send_alert(indicator)
style = {'padding': '5px', 'fontSize': '24px', 'font-weight' : 'bold',"color":"#ff7700",}
return [
html.Span(hum, style=style)
]
if __name__ == "__main__":
app.run_server(debug=True,
host = '127.0.0.1')