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main.py
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main.py
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"""
Author: Joshua Wallington
Description: Creates a dashboard using Dash and Plotly to visualize all the Apple Health Data in one place.
Credits: Some of the below code was sourceed from the following -
https://github.com/plotly/dash-oil-and-gas-demo/blob/master/app.py (CSS Code)
https://github.com/mganjoo/apple-health-exporter (ZIP to XML)
"""
#Dash components:
import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_bootstrap_components as dbc
from dash.dependencies import Input, Output, State, ClientsideFunction
from dash.exceptions import PreventUpdate
#Data and Graphing
import pandas as pd
import plotly.express as px
import plotly.graph_objects as go
import dash_resumable_upload
#Files
from zipfile import ZipFile
import zipfile
import io
import base64
import os
from src.options import Get_Drop_Choices, Explination_Table
from src.upload import health_xml_to_feather
from flask_caching import Cache
#STL
import time
import warnings
import copy
#Reqs
from datetime import datetime
import json
#Variables:
warnings.filterwarnings("ignore")
TIMEOUT = 60
app = dash.Dash(__name__)
cache = Cache(app.server, config={
"CACHE_TYPE": "filesystem",
"CACHE_DIR": "cache-directory"
})
Order = ["Monday", "Tuesday", "Wednesday", "Thursday", "Friday", "Saturday", "Sunday"]
Attribute_Color = "#2BFEBE"
Heart_High_Color = "#E93329"
Heart_Low_Color = "#2ab0fe"
No_Data_Header_Message = "No Apple Health Data Uploaded"
config = {"displayModeBar": False}
df = "None"
layout = {
"margin" : {"l" : 15, "r" : 15, "t" : 25, "b" : 5},
"hovermode" : "x",
"plot_bgcolor" : "#242e3f",
"paper_bgcolor" : "#2e3444",
"font_color" : "#1EAEDB",
"legend" : {"font" : {"size" : 10}}, #, "orientation" : "h"
"title" : "Graph Title",
"xaxis": {"showgrid": False, "showline" : True, "linewidth" : 2, "linecolor" : "white", "mirror" : True},
"yaxis" : {"showgrid" : True, "title" : {"text" : ""}, "showline" : True, "linewidth" : 2, "linecolor" : "white", "mirror" : True}}
No_Data_Graph_Message = {
"layout": {"xaxis": {"visible": False},
"yaxis": {"visible": False},
"annotations": [
{"text": "No Apple Health Data Uploaded",
"xref": "paper",
"yref": "paper",
"showarrow": False,
"font": {"size": 28}}
]
}
}
app.layout = html.Div(
[
html.Div(
[
html.Div(
[
html.H2("Apple Watch Data", id = "Dashboard-Title")],
className = "eleven columns"),
dcc.Upload(
html.Button("Upload ZIP file", n_clicks = 0, id = "Upload-Button"),
className = "one column", accept = ".zip", id = "Upload-Component")],
id = "header", className = "row"),
html.Div(
[
html.Div(
[
html.P(No_Data_Header_Message, className = "control_label", id = "Data-Information")
],
className = "pretty_container four columns", id = "Explination-Box"),
html.Div(
[
html.P("Data Source Information", className = "control_label", id = "Source-Title"),
dbc.Select(
id = "Data-Dropdown",
options = Get_Drop_Choices(),
placeholder = "Select Data!",
value = "HKQuantityTypeIdentifierActiveEnergyBurned",
style = {"display": "inline-block"},
className = "dcc_control")
],
className = "pretty_container four columns", id = "DataSource-Box"),
html.Div(
[
html.P("Pick Date (Not Required)", className = "control_label", id = "Date-Title"),
dcc.DatePickerRange(
id = "DatePicker",
disabled = True,
calendar_orientation = "horizontal",
first_day_of_week = 1,
end_date_placeholder_text = "End Date",
min_date_allowed = None,
max_date_allowed = None,
start_date = None,
end_date = None,
display_format = "MMM Do, YYYY",
month_format = "MMMM, YYYY",
minimum_nights = 7, #Find way to make inactive until init
className = "dcc_control")],
className = "pretty_container four columns", id = "Date-Box")
],className="row"),
html.Div(
[
html.Div(
[
dcc.Graph(id = "ActiveEnergyGraph", figure = No_Data_Graph_Message, config = config)
],
className = "pretty_container six columns"),
html.Div(
[
dcc.Graph(id = "BasalEnergyGraph", figure = No_Data_Graph_Message, config = config)
],
className = "pretty_container six columns")
], className = "row"),
html.Div(
[
html.Div(
[
dcc.Graph(id = "ExerciseTimeGraph", figure = No_Data_Graph_Message, config = config)
],
className="pretty_container six columns",
),
html.Div(
[
dcc.Graph(id = "StandTimeGraph", figure = No_Data_Graph_Message, config = config)
],
className="pretty_container six columns"),
],
className = "row"),
html.Div(
[
html.Div(
[
dcc.Graph(id = "StepCountGraph", figure = No_Data_Graph_Message, config = config)
],
className = "pretty_container six columns",
),
html.Div(
[
dcc.Graph(id = "FlightsClimbedGraph", figure = No_Data_Graph_Message, config = config)
],
className = "pretty_container six columns",
),
],
className = "row"
),
html.Div(
[
html.Div(
[
dcc.Graph(id = "DistanceWalkingRunningGraph", figure = No_Data_Graph_Message, config = config)
],
className = "pretty_container six columns",
),
html.Div(
[
dcc.Graph(id = "EnvironmentalAudioExposureGraph", figure = No_Data_Graph_Message, config = config)
],
className = "pretty_container six columns",
),
],
className = "row"
),
html.Div(
[
html.Div(
[
dcc.Graph(id = "HeartRateGraph", figure = No_Data_Graph_Message, config = config)
],
className = "pretty_container six columns",
),
html.Div(
[
dcc.Graph(id = "WalkingHeartRateAverageGraph", figure = No_Data_Graph_Message, config = config)
],
className = "pretty_container six columns",
),
],
className = "row"
),
html.Div(
[
html.Div(
[
dcc.Graph(id = "RestingHeartRateAverageGraph", figure = No_Data_Graph_Message, config = config)
],
className = "pretty_container six columns",
),
html.Div(
[
dcc.Graph(id = "HeartRateVariabilityGraph", figure = No_Data_Graph_Message, config = config)
],
className="pretty_container six columns",
),
],
className = "row"
),
],
id = "mainContainer",
style={"display": "flex", "flex-direction": "column"}) # End of HTML Components
@cache.memoize(timeout=TIMEOUT)
def query_data():
df = "Data/data.feather"
return df
def dataframe():
return pd.read_feather(query_data())
@app.callback(Output("Explination-Box", "children"),
[Input("Data-Dropdown", "value")])
def Expliantions(value):
if value is not None:
return Explination_Table[value]["Explination"]
else:
pass
@app.callback(Output("DatePicker", "disabled"),
Output("DatePicker", "start_date"),
Output("DatePicker", "end_date"),
Output("DatePicker", "min_date_allowed"),
Output("DatePicker", "max_date_allowed"),
[Input("Upload-Button", "n_clicks")],
[Input("Upload-Component", "contents")],
[State("Upload-Component", "filename")])
def update_output(n_clicks, list_of_contents, list_of_names):
if list_of_contents is None or list_of_names is None:
raise PreventUpdate #Only fire when ready
elif n_clicks > 0:
content_type, content_string = list_of_contents.split(",")
content_decoded = base64.b64decode(content_string)
zip_str = io.BytesIO(content_decoded)
zip_obj = ZipFile(zip_str, "r")
df = health_xml_to_feather(zip_str, "data.feather", remove_zip=True)
List = df["type"].unique().tolist()
Dates = df["startDate"].dt.date.unique()
First_Date = Dates.min()
Last_Date = Dates.max()
return False, First_Date, Last_Date, First_Date, Last_Date
@app.callback(Output("ActiveEnergyGraph", "figure"),
[Input("DatePicker", "start_date"),
Input("DatePicker", "end_date")])
def ActiveEnergyGraph(start_date, end_date):
start_date = datetime.strptime(start_date, "%Y-%m-%d").strftime("%b %d, %Y")
end_date = datetime.strptime(end_date, "%Y-%m-%d").strftime("%b %d, %Y")
df = dataframe()
df = df[df["type"] == "HKQuantityTypeIdentifierActiveEnergyBurned"]
df["startDate"] = df["startDate"].dt.date
Date_Range = (df["startDate"] > pd.to_datetime(start_date)) & (df["startDate"] <= pd.to_datetime(end_date))
Specified_Dates = df.loc[Date_Range]
By_Day = Specified_Dates.groupby(["startDate"])["value"].sum().reset_index(name = "value")
By_Month = Specified_Dates.groupby(["month"])["value"].sum().reset_index(name = "value")
By_DayofWeek = Specified_Dates.groupby(["DayofWeek"])["value"].sum().reindex(Order)
Day_Range = By_Day.startDate.unique().tolist()
Month_Range = By_Month.month.unique().tolist()
New_Range = By_DayofWeek.index.unique().tolist()
Graph_Layout = copy.deepcopy(layout)
Graph_Layout["title"] = f"Active Energy Burned Per Day from {start_date} to {end_date}"
Graph_Layout["yaxis"]["title"]["text"] = "Calories"
Day = go.Scatter(
x = By_Day.startDate,
y = By_Day.value,
name = "Calories",
fill = "tonexty",
mode = "lines+markers",
marker_color = Attribute_Color,
visible = True)
Month = go.Bar(
x = By_Month.month,
y = By_Month.value,
name = "Calories",
marker_color = Attribute_Color,
visible = False)
Weekday = go.Bar(
x = By_DayofWeek.index,
y = By_DayofWeek.values,
name = "Calories",
marker_color = Attribute_Color,
visible = False)
Graphs = [Day, Month, Weekday]
updatemenus = [
{"active" : 0,
"direction" : "down",
"pad" : {"r" : 4, "t" : 0},
"x" : 0.93,
"y" : 1.2,
"showactive" : True,
"buttons" : [
{"label" : "Total Per Day", "method" : "update", "args" : [
{"visible" : [True, False, False], "x" : [Day_Range]},
{"title" : f"Active Energy Burned Per Day from {start_date} to {end_date}", "yaxis.title.text" : "Calories"}]
},
{"label" : "Total Per Month", "method" : "update", "args" : [
{"visible" : [False, True, False], "x" : [Month_Range]},
{"title" : f"Total Active Energy Burned Per Month from {start_date} to {end_date}", "yaxis.title.text" : "Calories"}]
},
{"label" : "Total Per Weekday", "method" : "update", "args" : [
{"visible" : [False, False, True], "x" : [New_Range]},
{"title" : f"Total Active Energy Burned Per Weekday from {start_date} to {end_date}", "yaxis.title.text" : "Calories", "xaxis.dtick" : "M1", "xaxis.showgrid" : True}
]}]
}]
Figure = go.Figure(data = Graphs)
Figure.update_layout(Graph_Layout, updatemenus = updatemenus)
return Figure
@app.callback(Output("BasalEnergyGraph", "figure"),
[Input("DatePicker", "start_date"),
Input("DatePicker", "end_date")])
def BasalEnergyGraph(start_date, end_date):
start_date = datetime.strptime(start_date, "%Y-%m-%d").strftime("%b %d, %Y")
end_date = datetime.strptime(end_date, "%Y-%m-%d").strftime("%b %d, %Y")
df = dataframe()
df = df[df["type"] == "HKQuantityTypeIdentifierBasalEnergyBurned"]
df["startDate"] = df["startDate"].dt.date
Date_Range = (df["startDate"] > pd.to_datetime(start_date)) & (df["startDate"] <= pd.to_datetime(end_date))
Specified_Dates = df.loc[Date_Range]
By_Day = Specified_Dates.groupby(["startDate"])["value"].sum().reset_index(name= "value")
By_Month = Specified_Dates.groupby(["month"])["value"].sum().reset_index(name= "value")
By_DayofWeek = Specified_Dates.groupby(["DayofWeek"])["value"].sum().reindex(Order)
Day_Range = By_Day.startDate.unique().tolist()
Month_Range = By_Month.month.unique().tolist()
New_Range = By_DayofWeek.index.unique().tolist()
Graph_Layout = copy.deepcopy(layout)
Graph_Layout["title"] = f"Total Basal Energy Burned Per Day from {start_date} to {end_date}"
Graph_Layout["yaxis"]["title"]["text"] = "Calories"
Day = go.Scatter(
x = By_Day.startDate,
y = By_Day.value,
name = "Calories",
fill = "tonexty",
mode = "lines+markers",
marker_color = Attribute_Color,
visible = True)
Month = go.Bar(
x = By_Month.month,
y = By_Month.value,
name = "Calories",
marker_color = Attribute_Color,
visible = False)
Weekday = go.Bar(
x = By_DayofWeek.index,
y = By_DayofWeek.values,
name = "Calories",
marker_color = Attribute_Color,
visible = False)
Graphs = [Day, Month, Weekday]
updatemenus = [
{"active" : 0,
"direction" : "down",
"pad" : {"r" : 4, "t" : 0},
"x" : 0.93,
"y" : 1.2,
"showactive" : True,
"buttons" : [
{"label" : "Total Per Day", "method" : "update", "args" : [
{"visible" : [True, False, False], "x" : [Day_Range]},
{"title" : f"Total Basal Energy Burned Per Day from {start_date} to {end_date}", "yaxis.title.text" : "Calories"}]
},
{"label" : "Total Per Month", "method" : "update", "args" : [
{"visible" : [False, True, False], "x" : [Month_Range]},
{"title" : f"Total Basal Energy Burned Per Month from {start_date} to {end_date}", "yaxis.title.text" : "Calories"}]
},
{"label" : "Total Per Weekday", "method" : "update", "args" : [
{"visible" : [False, False, True], "x" : [New_Range]},
{"title" : f"Total Basal Energy Burned Per Weekday from {start_date} to {end_date}", "yaxis.title.text" : "Calories", "xaxis.dtick" : "M1", "xaxis.showgrid" : True}
]}]
}]
Figure = go.Figure(data = Graphs)
Figure.update_layout(Graph_Layout, updatemenus = updatemenus)
return Figure
@app.callback(Output("ExerciseTimeGraph", "figure"),
[Input("DatePicker", "start_date"),
Input("DatePicker", "end_date")])
def BasalEnergyGraph(start_date, end_date):
start_date = datetime.strptime(start_date, "%Y-%m-%d").strftime("%b %d, %Y")
end_date = datetime.strptime(end_date, "%Y-%m-%d").strftime("%b %d, %Y")
df = dataframe()
df = df[df["type"] == "HKQuantityTypeIdentifierAppleExerciseTime"]
df["startDate"] = df["startDate"].dt.date
Date_Range = (df["startDate"] > pd.to_datetime(start_date)) & (df["startDate"] <= pd.to_datetime(end_date))
Specified_Dates = df.loc[Date_Range]
By_Day = Specified_Dates.groupby(["startDate"])["value"].sum().reset_index(name= "value")
By_Month = Specified_Dates.groupby(["month"])["value"].sum().reset_index(name= "value")
By_DayofWeek = Specified_Dates.groupby(["DayofWeek"])["value"].sum().reindex(Order)
Day_Range = By_Day.startDate.unique().tolist()
Month_Range = By_Month.month.unique().tolist()
New_Range = By_DayofWeek.index.unique().tolist()
Graph_Layout = copy.deepcopy(layout)
Graph_Layout["title"] = f"Apple Excersise Minutes Per Day from {start_date} to {end_date}"
Graph_Layout["yaxis"]["title"]["text"] = "Minutes"
Day = go.Scatter(
x = By_Day.startDate,
y = By_Day.value,
name = "Minutes",
fill = "tonexty",
mode = "lines+markers",
marker_color = Attribute_Color,
visible = True)
Month = go.Bar(
x = By_Month.month,
y = By_Month.value,
name = "Minutes",
marker_color = Attribute_Color,
visible = False)
Weekday = go.Bar(
x = By_DayofWeek.index,
y = By_DayofWeek.values,
name = "Minutes",
marker_color = Attribute_Color,
visible = False)
Graphs = [Day, Month, Weekday]
updatemenus = [
{"active" : 0,
"direction" : "down",
"pad" : {"r" : 4, "t" : 0},
"x" : 0.93,
"y" : 1.2,
"showactive" : True,
"buttons" : [
{"label" : "Total Per Day", "method" : "update", "args" : [
{"visible" : [True, False, False], "x" : [Day_Range]},
{"title" : f"Total Apple Excersise Minutes Per Day from {start_date} to {end_date}", "yaxis.title.text" : "Minutes"}]
},
{"label" : "Total Per Month", "method" : "update", "args" : [
{"visible" : [False, True, False], "x" : [Month_Range]},
{"title" : f"Total Apple Excersise Minutes Per Month from {start_date} to {end_date}", "yaxis.title.text" : "Minutes"}]
},
{"label" : "Total Per Weekday", "method" : "update", "args" : [
{"visible" : [False, False, True], "x" : [New_Range]},
{"title" : f"Total Apple Excersise Minutes Per Weekday from {start_date} to {end_date}", "yaxis.title.text" : "Minutes", "xaxis.dtick" : "M1", "xaxis.showgrid" : True}
]}]
}]
Figure = go.Figure(data = Graphs)
Figure.update_layout(Graph_Layout, updatemenus = updatemenus)
return Figure
@app.callback(Output("StandTimeGraph", "figure"),
[Input("DatePicker", "start_date"),
Input("DatePicker", "end_date")])
def StandTimeGraph(start_date, end_date):
start_date = datetime.strptime(start_date, "%Y-%m-%d").strftime("%b %d, %Y")
end_date = datetime.strptime(end_date, "%Y-%m-%d").strftime("%b %d, %Y")
df = dataframe()
df = df[df["type"] == "HKQuantityTypeIdentifierAppleStandTime"]
df["startDate"] = df["startDate"].dt.date
Date_Range = (df["startDate"] > pd.to_datetime(start_date)) & (df["startDate"] <= pd.to_datetime(end_date))
Specified_Dates = df.loc[Date_Range]
By_Day = Specified_Dates.groupby(["startDate"])["value"].sum().reset_index(name= "value")
By_Month = Specified_Dates.groupby(["month"])["value"].sum().reset_index(name= "value")
By_DayofWeek = Specified_Dates.groupby(["DayofWeek"])["value"].sum().reindex(Order)
Day_Range = By_Day.startDate.unique().tolist()
Month_Range = By_Month.month.unique().tolist()
New_Range = By_DayofWeek.index.unique().tolist()
Graph_Layout = copy.deepcopy(layout)
Graph_Layout["title"] = f"Total Stand Time Per Day from {start_date} to {end_date}"
Graph_Layout["yaxis"]["title"]["text"] = "Minutes"
Day = go.Scatter(
x = By_Day.startDate,
y = By_Day.value,
name = "Minutes",
fill = "tonexty",
mode = "lines+markers",
marker_color = Attribute_Color,
visible = True)
Month = go.Bar(
x = By_Month.month,
y = By_Month.value,
name = "Minutes",
marker_color = Attribute_Color,
visible = False)
Weekday = go.Bar(
x = By_DayofWeek.index,
y = By_DayofWeek.values,
name = "Minutes",
marker_color = Attribute_Color,
visible = False)
Graphs = [Day, Month, Weekday]
updatemenus = [
{"active" : 0,
"direction" : "down",
"pad" : {"r" : 4, "t" : 0},
"x" : 0.93,
"y" : 1.2,
"showactive" : True,
"buttons" : [
{"label" : "Total Per Day", "method" : "update", "args" : [
{"visible" : [True, False, False], "x" : [Day_Range]},
{"title" : f"Total Stand Time Per Day from {start_date} to {end_date}", "yaxis.title.text" : "Minutes"}]
},
{"label" : "Total Per Month", "method" : "update", "args" : [
{"visible" : [False, True, False], "x" : [Month_Range]},
{"title" : f"Total Stand Time Per Month from {start_date} to {end_date}", "yaxis.title.text" : "Minutes"}]
},
{"label" : "Total Per Weekday", "method" : "update", "args" : [
{"visible" : [False, False, True], "x" : [New_Range]},
{"title" : f"Total Stand Time Per Weekday from {start_date} to {end_date}", "yaxis.title.text" : "Minutes", "xaxis.dtick" : "M1", "xaxis.showgrid" : True}
]}]
}]
Figure = go.Figure(data = Graphs)
Figure.update_layout(Graph_Layout, updatemenus = updatemenus)
return Figure
@app.callback(Output("StepCountGraph", "figure"),
[Input("DatePicker", "start_date"),
Input("DatePicker", "end_date")])
def StepCountGraph(start_date, end_date):
start_date = datetime.strptime(start_date, "%Y-%m-%d").strftime("%b %d, %Y")
end_date = datetime.strptime(end_date, "%Y-%m-%d").strftime("%b %d, %Y")
df = dataframe()
df = df[df["type"] == "HKQuantityTypeIdentifierStepCount"]
df["startDate"] = df["startDate"].dt.date
Date_Range = (df["startDate"] > pd.to_datetime(start_date)) & (df["startDate"] <= pd.to_datetime(end_date))
Specified_Dates = df.loc[Date_Range]
By_Day = Specified_Dates.groupby(["startDate"])["value"].sum().reset_index(name= "value")
By_Month = Specified_Dates.groupby(["month"])["value"].sum().reset_index(name= "value")
By_DayofWeek = Specified_Dates.groupby(["DayofWeek"])["value"].sum().reindex(Order)
Day_Range = By_Day.startDate.unique().tolist()
Month_Range = By_Month.month.unique().tolist()
New_Range = By_DayofWeek.index.unique().tolist()
Graph_Layout = copy.deepcopy(layout)
Graph_Layout["title"] = f"Total Step Count Per Day from {start_date} to {end_date}"
Graph_Layout["yaxis"]["title"]["text"] = "Minutes"
Day = go.Scatter(
x = By_Day.startDate,
y = By_Day.value,
name = "Steps",
fill = "tonexty",
mode = "lines+markers",
marker_color = Attribute_Color,
visible = True)
Month = go.Bar(
x = By_Month.month,
y = By_Month.value,
name = "Steps",
marker_color = Attribute_Color,
visible = False)
Weekday = go.Bar(
x = By_DayofWeek.index,
y = By_DayofWeek.values,
name = "Steps",
marker_color = Attribute_Color,
visible = False)
Graphs = [Day, Month, Weekday]
updatemenus = [
{"active" : 0,
"direction" : "down",
"pad" : {"r" : 4, "t" : 0},
"x" : 0.93, #"xanchor" : "left",
"y" : 1.2, #"yanchor" : "top",
"showactive" : True,
"buttons" : [
{"label" : "Total Per Day", "method" : "update", "args" : [
{"visible" : [True, False, False], "x" : [Day_Range]},
{"title" : f"Total Step Count Per Day from {start_date} to {end_date}", "yaxis.title.text" : "Count"}]
},
{"label" : "Total Per Month", "method" : "update", "args" : [
{"visible" : [False, True, False], "x" : [Month_Range]},
{"title" : f"Total Step Count Per Month from {start_date} to {end_date}", "yaxis.title.text" : "Count"}]
},
{"label" : "Total Per Weekday", "method" : "update", "args" : [
{"visible" : [False, False, True], "x" : [New_Range]},
{"title" : f"Total Step Count Per Weekday from {start_date} to {end_date}", "yaxis.title.text" : "Count", "xaxis.dtick" : "M1", "xaxis.showgrid" : True}
]}]
}]
Figure = go.Figure(data = Graphs)
Figure.update_layout(Graph_Layout, updatemenus = updatemenus)
return Figure
@app.callback(Output("FlightsClimbedGraph", "figure"),
[Input("DatePicker", "start_date"),
Input("DatePicker", "end_date")])
def FlightsClimbedGraph(start_date, end_date):
start_date = datetime.strptime(start_date, "%Y-%m-%d").strftime("%b %d, %Y")
end_date = datetime.strptime(end_date, "%Y-%m-%d").strftime("%b %d, %Y")
df = dataframe()
df = df[df["type"] == "HKQuantityTypeIdentifierFlightsClimbed"]
df["startDate"] = df["startDate"].dt.date
Date_Range = (df["startDate"] > pd.to_datetime(start_date)) & (df["startDate"] <= pd.to_datetime(end_date))
Specified_Dates = df.loc[Date_Range]
By_Day = Specified_Dates.groupby(["startDate"])["value"].sum().reset_index(name= "value")
By_Month = Specified_Dates.groupby(["month"])["value"].sum().reset_index(name= "value")
By_DayofWeek = Specified_Dates.groupby(["DayofWeek"])["value"].sum().reindex(Order)
Day_Range = By_Day.startDate.unique().tolist()
Month_Range = By_Month.month.unique().tolist()
New_Range = By_DayofWeek.index.unique().tolist()
Graph_Layout = copy.deepcopy(layout)
Graph_Layout["title"] = f"Total Flights Climbed Per Day from {start_date} to {end_date}"
Graph_Layout["yaxis"]["title"]["text"] = "Flights"
Day = go.Scatter(
x = By_Day.startDate,
y = By_Day.value,
name = "Flights",
fill = "tonexty",
mode = "lines+markers",
marker_color = Attribute_Color,
visible = True)
Month = go.Bar(
x = By_Month.month,
y = By_Month.value,
name = "Flights",
marker_color = Attribute_Color,
visible = False)
Weekday = go.Bar(
x = By_DayofWeek.index,
y = By_DayofWeek.values,
name = "Flights",
marker_color = Attribute_Color,
visible = False)
Graphs = [Day, Month, Weekday]
updatemenus = [
{"active" : 0,
"direction" : "down",
"pad" : {"r" : 4, "t" : 0},
"x" : 0.93,
"y" : 1.2,
"showactive" : True,
"buttons" : [
{"label" : "Total Per Day", "method" : "update", "args" : [
{"visible" : [True, False, False], "x" : [Day_Range]},
{"title" : f"Total Flights Climbed Per Day from {start_date} to {end_date}", "yaxis.title.text" : "Flights"}]
},
{"label" : "Total Per Month", "method" : "update", "args" : [
{"visible" : [False, True, False], "x" : [Month_Range]},
{"title" : f"Total Flights Climbed Per Month from {start_date} to {end_date}", "yaxis.title.text" : "Flights"}]
},
{"label" : "Total Per Weekday", "method" : "update", "args" : [
{"visible" : [False, False, True], "x" : [New_Range]},
{"title" : f"Total Flights Climbed Per Weekday from {start_date} to {end_date}", "yaxis.title.text" : "Flights", "xaxis.dtick" : "M1", "xaxis.showgrid" : True}
]}]
}]
Figure = go.Figure(data = Graphs)
Figure.update_layout(Graph_Layout, updatemenus = updatemenus)
return Figure
@app.callback(Output("DistanceWalkingRunningGraph", "figure"),
[Input("DatePicker", "start_date"),
Input("DatePicker", "end_date")])
def DistanceWalkingRunningGraph(start_date, end_date):
start_date = datetime.strptime(start_date, "%Y-%m-%d").strftime("%b %d, %Y")
end_date = datetime.strptime(end_date, "%Y-%m-%d").strftime("%b %d, %Y")
df = dataframe()
df = df[df["type"] == "HKQuantityTypeIdentifierDistanceWalkingRunning"]
df["startDate"] = df["startDate"].dt.date
Date_Range = (df["startDate"] > pd.to_datetime(start_date)) & (df["startDate"] <= pd.to_datetime(end_date))
Specified_Dates = df.loc[Date_Range]
By_Day = Specified_Dates.groupby(["startDate"])["value"].sum().reset_index(name= "value")
By_Month = Specified_Dates.groupby(["month"])["value"].sum().reset_index(name= "value")
By_DayofWeek = Specified_Dates.groupby(["DayofWeek"])["value"].sum().reindex(Order)
Day_Range = By_Day.startDate.unique().tolist()
Month_Range = By_Month.month.unique().tolist()
New_Range = By_DayofWeek.index.unique().tolist()
Graph_Layout = copy.deepcopy(layout)
Graph_Layout["title"] = f"Total Distance Moved Per Day from {start_date} to {end_date}"
Graph_Layout["yaxis"]["title"]["text"] = "Miles"
Day = go.Scatter(
x = By_Day.startDate,
y = By_Day.value,
name = "Miles",
fill = "tonexty",
mode = "lines+markers",
marker_color = Attribute_Color,
visible = True)
Month = go.Bar(
x = By_Month.month,
y = By_Month.value,
name = "Miles",
marker_color = Attribute_Color,
visible = False)
Weekday = go.Bar(
x = By_DayofWeek.index,
y = By_DayofWeek.values,
name = "Miles",
marker_color = Attribute_Color,
visible = False)
Graphs = [Day, Month, Weekday]
updatemenus = [
{"active" : 0,
"direction" : "down",
"pad" : {"r" : 4, "t" : 0},
"x" : 0.93,
"y" : 1.2,
"showactive" : True,
"buttons" : [
{"label" : "Total Per Day", "method" : "update", "args" : [
{"visible" : [True, False, False], "x" : [Day_Range]},
{"title" : f"Total Miles Moved Per Day from {start_date} to {end_date}", "yaxis.title.text" : "Miles"}]
},
{"label" : "Total Per Month", "method" : "update", "args" : [
{"visible" : [False, True, False], "x" : [Month_Range]},
{"title" : f"Total Distance Moved Per Month from {start_date} to {end_date}", "yaxis.title.text" : "Miles"}]
},
{"label" : "Total Per Weekday", "method" : "update", "args" : [
{"visible" : [False, False, True], "x" : [New_Range]},
{"title" : f"Total Distance Moved Per Weekday from {start_date} to {end_date}", "yaxis.title.text" : "Miles", "xaxis.dtick" : "M1", "xaxis.showgrid" : True}
]}]
}]
Figure = go.Figure(data = Graphs)
Figure.update_layout(Graph_Layout, updatemenus = updatemenus)
return Figure
@app.callback(Output("EnvironmentalAudioExposureGraph", "figure"),
[Input("DatePicker", "start_date"),
Input("DatePicker", "end_date")])
def EnvironmentalAudioExposureGraph(start_date, end_date):
start_date = datetime.strptime(start_date, "%Y-%m-%d").strftime("%b %d, %Y")
end_date = datetime.strptime(end_date, "%Y-%m-%d").strftime("%b %d, %Y")
df = dataframe()
df = df[df["type"] == "HKQuantityTypeIdentifierEnvironmentalAudioExposure"]
if df.empty:
Message = copy.deepcopy(No_Data_Graph_Message)
Message["layout"]["annotations"][0]["text"] = "Watch does not record Enviornmental Audio Exposure"
return go.Figure(data = Message)
else:
df["startDate"] = df["startDate"].dt.date
Date_Range = (df["startDate"] > pd.to_datetime(start_date)) & (df["startDate"] <= pd.to_datetime(end_date))
Specified_Dates = df.loc[Date_Range]
By_Day = Specified_Dates.groupby(["startDate"])["value"].mean().reset_index(name= "value")
By_Month = Specified_Dates.groupby(["month"])["value"].mean().reset_index(name= "value")
By_DayofWeek = Specified_Dates.groupby(["DayofWeek"])["value"].mean().reindex(Order)
Day_Range = By_Day.startDate.unique().tolist()
Month_Range = By_Month.month.unique().tolist()
New_Range = By_DayofWeek.index.unique().tolist()
Graph_Layout = copy.deepcopy(layout)
Graph_Layout["title"] = f"Average Decible Exposure Per Day from {start_date} to {end_date}"
Graph_Layout["yaxis"]["title"]["text"] = "Decibles"
Day = go.Scatter(
x = By_Day.startDate,
y = By_Day.value,
name = "Decibles",
fill = "tonexty",
mode = "lines+markers",
marker_color = Attribute_Color,
visible = True)
Month = go.Bar(
x = By_Month.month,
y = By_Month.value,
name = "Decibles",
marker_color = Attribute_Color,
visible = False)
Weekday = go.Bar(
x = By_DayofWeek.index,
y = By_DayofWeek.values,
name = "Decibles",
marker_color = Attribute_Color,
visible = False)
Graphs = [Day, Month, Weekday]
updatemenus = [
{"active" : 0,
"direction" : "down",
"pad" : {"r" : 4, "t" : 0},
"x" : 0.93,
"y" : 1.2,
"showactive" : True,
"buttons" : [
{"label" : "Average Per Day", "method" : "update", "args" : [
{"visible" : [True, False, False], "x" : [Day_Range]},
{"title" : f"Average Decibles Exposure Per Day from {start_date} to {end_date}", "yaxis.title.text" : "Decibles"}]
},
{"label" : "Average Per Month", "method" : "update", "args" : [
{"visible" : [False, True, False], "x" : [Month_Range]},
{"title" : f"Average Decible Exposure Per Month from {start_date} to {end_date}", "yaxis.title.text" : "Decibles"}]
},
{"label" : "Average Per Weekday", "method" : "update", "args" : [
{"visible" : [False, False, True], "x" : [New_Range]},
{"title" : f"Average Decible Exposure Per Weekday from {start_date} to {end_date}", "yaxis.title.text" : "Decibles", "xaxis.dtick" : "M1", "xaxis.showgrid" : True}
]}]
}]
Figure = go.Figure(data = Graphs)
Figure.update_layout(Graph_Layout, updatemenus = updatemenus)
return Figure
@app.callback(Output("HeartRateGraph", "figure"),
[Input("DatePicker", "start_date"),
Input("DatePicker", "end_date")])
def HeartRateGraph(start_date, end_date):
start_date = datetime.strptime(start_date, "%Y-%m-%d").strftime("%b %d, %Y")
end_date = datetime.strptime(end_date, "%Y-%m-%d").strftime("%b %d, %Y")
df = dataframe()
df = df[df["type"] == "HKQuantityTypeIdentifierHeartRate"]
df["startDate"] = df["startDate"].dt.date
Date_Range = (df["startDate"] > pd.to_datetime(start_date)) & (df["startDate"] <= pd.to_datetime(end_date))
Specified_Dates = df.loc[Date_Range]
By_Day_High = Specified_Dates.groupby(["startDate"])["value"].max().reset_index(name = "value")
By_Day_Low = Specified_Dates.groupby(["startDate"])["value"].min().reset_index(name = "value")
# By_Month = df.groupby(["month"])["value"].reset_index(name= "value")
By_DayofWeek = df.groupby(["DayofWeek"])["value"].sum().reindex(Order)
Day_Range = By_Day_High.startDate.unique().tolist()
Month_Range = df["month"].unique().tolist()
New_Range = By_DayofWeek.index.unique().tolist()
Graph_Layout = copy.deepcopy(layout)
Graph_Layout["title"] = f"Highest and Lowest Heart Rate from {start_date} to {end_date}"
Graph_Layout["yaxis"]["title"]["text"] = "Count/Min"
#[By_Day_High.value, By_Day_Low.value],
Day_High = go.Scatter(
x = By_Day_High.startDate,
y = By_Day_High.value,
name = "CPM",
fill = "tonexty",
mode = "lines+markers",
marker_color = Heart_High_Color,
visible = True)
Day_Low = go.Scatter(
x = By_Day_Low.startDate,
y = By_Day_Low.value,
name = "CPM",
fill = "tozeroy",
mode = "lines+markers",
marker_color = Heart_Low_Color,
visible = True)
Month = go.Scattergl(
x = Specified_Dates.month,
y = Specified_Dates.values,
name = "Miles",
marker_color = Attribute_Color,
visible = False)
Weekday = go.Bar(
x = By_DayofWeek.index,
y = By_DayofWeek.values,
name = "Miles",
marker_color = Attribute_Color,
visible = False)
Graphs = [Day_High,Day_Low]
Figure = go.Figure(data = Graphs)