def update_graph(hours_radio=None, hours_text=None):
if hours_text:
try:
hours_text = int(hours_text)
df = data(CONN_STR, time_unit='h', amount=int(hours_text))
except:
df = data(CONN_STR, time_unit='h', amount=hours_radio)
else:
df = data(CONN_STR, time_unit='h', amount=hours_radio)
return scatter_(df)
def update_time():
df = data(CONN_STR, latest=True)
time = df.at[0, 'min_diff']
style = {
'padding': '20px',
'fontSize': '20px',
'background-color': 'grey',
"display": "inline-block"
}
return [
html.Span('Tid: {0:.2f}'.format(time), style=style),
]
def update_scatt(startdate, datepart):
df = data(CONN_STR, startdate=str(startdate))
return boxplot_(df, datepart=datepart)
#@app.callback(
# Output('datatable-bloodsugar-describe', 'rows'),
# [Input('dropdown-datepart', 'value'),
# Input('input-startdate', 'value')])
#def update_table(datepart, startdate):
# #print(startdate)
# df = data(CONN_STR)
# rows = bloodsugar_describe(df, datepart, startdate=str(startdate)).to_dict('records')
# return rows
def update_blood():
df = data(CONN_STR, latest=True)
blood_sugar = df.at[0, 'mmol']
if blood_sugar >= 10:
style = {
'padding': '20px',
'fontSize': '32px',
'background-color': 'red'
}
elif 4 <= blood_sugar < 10:
style = {
'padding': '20px',
'fontSize': '32px',
'background-color': 'green'
}
else:
style = {
'padding': '20px',
'fontSize': '32px',
'background-color': 'pink'
}
return [html.Span('Blodsocker: {0:.2f}'.format(blood_sugar), style=style)]
import dash import numpy as np from apps.src.secrets import CONN_STR from apps.src.data import data df = data(CONN_STR, latest=True) app = dash.Dash(__name__) app.title = str(np.round(df.at[0, 'mmol'],1)) server = app.server app.config.suppress_callback_exceptions = True
def update_time(update):
df = data(CONN_STR, latest=True)
time = df.at[0, 'min_diff']
return [
html.Span(f'Tid: {time} min', style=style_time),
]
def update_blood(update):
df = data(CONN_STR, latest=True)
blood_sugar = df.at[0, 'mmol']
style = style_(blood_sugar)
return [html.Span('Blodsocker: {0:.2f}'.format(blood_sugar), style=style)]
def update_hist(startdate):
df = data(CONN_STR, startdate=str(startdate))
return histogram_(df)
import plotly.graph_objs as go
import datetime
import json
import pandas as pd
import numpy as np
import plotly
from apps.src.data import data, bloodsugar_describe
from apps.src.fig import scatter_, histogram_, boxplot_
from apps.src.html_style import style_
from apps.src.secrets import CONN_STR
from app import app
style = {'padding': '5px', 'fontSize': '16px', 'color': 'red'}
startdate = datetime.date.today() - datetime.timedelta(days=14)
df = data(CONN_STR, startdate=str(startdate))
dateparts = ['minute', 'hour', 'day', 'week', 'month', 'quarter', 'year']
graphs = ['scatter', 'histogram']
df1 = bloodsugar_describe(df, 'week')
#print(df1.head())
dfb = data(CONN_STR, latest=True)
blood_sugar = dfb.at[0, 'mmol']
style = style_(blood_sugar)
time = dfb.at[0, 'min_diff']
style_time = style_()
dateparts = [
'minute', 'hour', 'weekday', 'day', 'week', 'month', 'quarter', 'year'
]
layout = html.Div([
dcc.Input(id='input-startdate',
def update_table(datepart, startdate):
#print(startdate)
df = data(CONN_STR)
rows = bloodsugar_describe(df, datepart,
startdate=str(startdate)).to_dict('records')
return rows
def update_graph(startdate, graph):
df = data(CONN_STR, startdate=str(startdate))
if graph == 'histogram':
return histogram_(df)
else:
return scatter_(df)
