From 756cf96e8a224951175422dbec0a2bdce8a6612f Mon Sep 17 00:00:00 2001 From: Arpan Ghosh <26424944+arpanghosh8453@users.noreply.github.com> Date: Thu, 27 Jul 2023 02:40:36 -0400 Subject: [PATCH] Update app.py --- src/app.py | 44 ++++++++++++++++++++++++++++++++++---------- 1 file changed, 34 insertions(+), 10 deletions(-) diff --git a/src/app.py b/src/app.py index edb0a76..cd01eae 100644 --- a/src/app.py +++ b/src/app.py @@ -27,7 +27,7 @@ app.layout = html.Div(children=[ },children=[ dcc.DatePickerRange( id='my-date-picker-range', - minimum_nights=30, + minimum_nights=40, max_date_allowed=datetime.today().date() - timedelta(days=1), min_date_allowed=datetime.today().date() - timedelta(days=720), end_date=datetime.today().date() - timedelta(days=1), @@ -47,6 +47,18 @@ app.layout = html.Div(children=[ html.Div(id='output_div', children=[ + html.Div(id='report-title-div', + style={ + 'display': 'flex', + 'align-items': 'center', + 'justify-content': 'center', + 'flex-direction': 'column', + 'margin-top': '20px'}, children=[ + html.H2(id="report-title", style={'font-weight': 'bold'}), + html.H4(id="date-range-title", style={'font-weight': 'bold'}), + html.P(id="generated-on-title", style={'font-weight': 'bold', 'font-size': '16'}) + ]), + dcc.Graph( id='graph_RHR', figure=px.line(), @@ -93,7 +105,7 @@ def disable_button_and_calculate(n_clicks): return True, True, True # fetch data and update graphs on click of submit -@app.callback(Output('graph_RHR', 'figure'), Output('graph_steps', 'figure'), Output('graph_activity_minutes', 'figure'), Output('graph_weight', 'figure'), Output('graph_spo2', 'figure'), Output("loading-output-1", "children"), +@app.callback(Output('report-title', 'children'), Output('date-range-title', 'children'), Output('generated-on-title', 'children'), Output('graph_RHR', 'figure'), Output('graph_steps', 'figure'), Output('graph_activity_minutes', 'figure'), Output('graph_weight', 'figure'), Output('graph_spo2', 'figure'), Output("loading-output-1", "children"), Input('submit-button', 'disabled'), State('input-on-submit', 'value'), State('my-date-picker-range', 'start_date'), State('my-date-picker-range', 'end_date'), prevent_initial_call=True @@ -109,7 +121,8 @@ def update_output(n_clicks, value, start_date, end_date): } # Collecting data----------------------------------------------------------------------------------------------------------------------- - + + user_profile = requests.get("https://api.fitbit.com/1/user/-/profile.json", headers=headers).json() response_heartrate = requests.get("https://api.fitbit.com/1/user/-/activities/heart/date/"+ start_date +"/"+ end_date +".json", headers=headers).json() response_steps = requests.get("https://api.fitbit.com/1/user/-/activities/steps/date/"+ start_date +"/"+ end_date +".json", headers=headers).json() response_weight = requests.get("https://api.fitbit.com/1/user/-/body/weight/date/"+ start_date +"/"+ end_date +".json", headers=headers).json() @@ -117,6 +130,9 @@ def update_output(n_clicks, value, start_date, end_date): # Processing data----------------------------------------------------------------------------------------------------------------------- + report_title = "Wellness report - " + user_profile["user"]["firstName"] + " " + user_profile["user"]["lastName"] + report_dates_range = datetime.fromisoformat(start_date).strftime("%d %B, %Y") + " – " + datetime.fromisoformat(end_date).strftime("%d %B, %Y") + generated_on_date = "Report Generated :" + datetime.today().date().strftime("%d %B, %Y") dates_list = [] dates_str_list = [] rhr_list = [] @@ -164,25 +180,33 @@ def update_output(n_clicks, value, start_date, end_date): }) non_zero_steps_df = df_merged[df_merged["Steps Count"] != 0] + df_merged["Total Active Minutes"] = df_merged["Fat Burn Minutes"] + df_merged["Cardio Minutes"] + df_merged["Peak Minutes"] + rhr_avg = {'overall': round(df_merged["Resting Heart Rate"].mean(),1), '30d': round(df_merged["Resting Heart Rate"].tail(30).mean(),1)} + steps_avg = {'overall': round(non_zero_steps_df["Steps Count"].mean(),0), '30d': round(non_zero_steps_df["Steps Count"].tail(30).mean(),0)} + weight_avg = {'overall': round(df_merged["weight"].mean(),1), '30d': round(df_merged["weight"].tail(30).mean(),1)} + active_mins_avg = {'overall': round(df_merged["Total Active Minutes"].mean(),2), '30d': round(df_merged["Total Active Minutes"].tail(30).mean(),2)} # Plotting data----------------------------------------------------------------------------------------------------------------------- - fig_rhr = px.line(df_merged, x="Date", y="Resting Heart Rate", line_shape="spline", color_discrete_sequence=["#d30f1c"], title="Daily Resting Heart Rate") + fig_rhr = px.line(df_merged, x="Date", y="Resting Heart Rate", line_shape="spline", color_discrete_sequence=["#d30f1c"], title=f"Daily Resting Heart Rate

Overall average : {rhr_avg['overall']} bpm | Last 30d average : {rhr_avg['30d']} bpm


") fig_rhr.add_annotation(x=df_merged.iloc[df_merged["Resting Heart Rate"].idxmax()]["Date"], y=df_merged["Resting Heart Rate"].max(), text=str(df_merged["Resting Heart Rate"].max()), showarrow=False, arrowhead=0, bgcolor="#5f040a", opacity=0.80, yshift=15, borderpad=5, font=dict(family="Helvetica, monospace", size=12, color="#ffffff"), ) fig_rhr.add_annotation(x=df_merged.iloc[df_merged["Resting Heart Rate"].idxmin()]["Date"], y=df_merged["Resting Heart Rate"].min(), text=str(df_merged["Resting Heart Rate"].min()), showarrow=False, arrowhead=0, bgcolor="#0b2d51", opacity=0.80, yshift=-15, borderpad=5, font=dict(family="Helvetica, monospace", size=12, color="#ffffff"), ) fig_rhr.add_hline(y=df_merged["Resting Heart Rate"].mean(), line_dash="dot",annotation_text="Average : " + str(round(df_merged["Resting Heart Rate"].mean(), 1)), annotation_position="bottom right", annotation_bgcolor="#6b3908", annotation_opacity=0.6, annotation_borderpad=5, annotation_font=dict(family="Helvetica, monospace", size=14, color="#ffffff")) fig_rhr.add_hrect(y0=62, y1=68, fillcolor="green", opacity=0.15, line_width=0) - fig_steps = px.bar(df_merged, x="Date", y="Steps Count", title="Daily Steps Count") + fig_steps = px.bar(df_merged, x="Date", y="Steps Count", title=f"Daily Steps Count

Overall average : {steps_avg['overall']} steps | Last 30d average : {steps_avg['30d']} steps


") fig_steps.add_annotation(x=df_merged.iloc[df_merged["Steps Count"].idxmax()]["Date"], y=df_merged["Steps Count"].max(), text=str(df_merged["Steps Count"].max())+" steps", showarrow=False, arrowhead=0, bgcolor="#5f040a", opacity=0.80, yshift=15, borderpad=5, font=dict(family="Helvetica, monospace", size=12, color="#ffffff"), ) fig_steps.add_annotation(x=non_zero_steps_df.iloc[non_zero_steps_df["Steps Count"].idxmin()]["Date"], y=non_zero_steps_df["Steps Count"].min(), text=str(non_zero_steps_df["Steps Count"].min())+" steps", showarrow=False, arrowhead=0, bgcolor="#0b2d51", opacity=0.80, yshift=-15, borderpad=5, font=dict(family="Helvetica, monospace", size=12, color="#ffffff"), ) fig_steps.add_hline(y=non_zero_steps_df["Steps Count"].mean(), line_dash="dot",annotation_text="Average : " + str(round(df_merged["Steps Count"].mean(), 1)), annotation_position="bottom right", annotation_bgcolor="#6b3908", annotation_opacity=0.8, annotation_borderpad=5, annotation_font=dict(family="Helvetica, monospace", size=14, color="#ffffff")) - fig_activity_minutes = px.bar(df_merged, x="Date", y=["Fat Burn Minutes", "Cardio Minutes", "Peak Minutes"], title="Activity Minutes") - fig_activity_minutes.update_layout(yaxis_title='Active Minutes') - fig_weight = px.line(df_merged, x="Date", y="weight", line_shape="spline", color_discrete_sequence=["#6b3908"], title="Weight") - fig_spo2 = px.bar(df_merged, x="Date", y="SPO2", title="SPO2 Percentage", range_y=(80,100)) + fig_activity_minutes = px.bar(df_merged, x="Date", y=["Fat Burn Minutes", "Cardio Minutes", "Peak Minutes"], title=f"Activity Minutes

Overall average : {active_mins_avg['overall']} minutes | Last 30d average : {active_mins_avg['30d']} minutes


") + fig_activity_minutes.update_layout(yaxis_title='Active Minutes', legend=dict(orientation="h",yanchor="bottom", y=1.02, xanchor="right", x=1, title_text='')) + fig_weight = px.line(df_merged, x="Date", y="weight", line_shape="spline", color_discrete_sequence=["#6b3908"], title=f"Weight

Overall average : {weight_avg['overall']} Unit | Last 30d average : {weight_avg['30d']} Unit


") + fig_weight.add_annotation(x=df_merged.iloc[df_merged["weight"].idxmax()]["Date"], y=df_merged["weight"].max(), text=str(df_merged["weight"].max()), showarrow=False, arrowhead=0, bgcolor="#5f040a", opacity=0.80, yshift=15, borderpad=5, font=dict(family="Helvetica, monospace", size=12, color="#ffffff"), ) + fig_weight.add_annotation(x=df_merged.iloc[df_merged["weight"].idxmin()]["Date"], y=df_merged["weight"].min(), text=str(df_merged["weight"].min()), showarrow=False, arrowhead=0, bgcolor="#0b2d51", opacity=0.80, yshift=-15, borderpad=5, font=dict(family="Helvetica, monospace", size=12, color="#ffffff"), ) + fig_weight.add_hline(y=round(df_merged["weight"].mean(),1), line_dash="dot",annotation_text="Average : " + str(round(df_merged["weight"].mean(), 1)), annotation_position="bottom right", annotation_bgcolor="#6b3908", annotation_opacity=0.6, annotation_borderpad=5, annotation_font=dict(family="Helvetica, monospace", size=14, color="#ffffff")) + fig_spo2 = px.bar(df_merged, x="Date", y="SPO2", title="SPO2 Percentage", range_y=(80,100)) - return fig_rhr, fig_steps, fig_activity_minutes, fig_weight, fig_spo2, "" + return report_title, report_dates_range, generated_on_date, fig_rhr, fig_steps, fig_activity_minutes, fig_weight, fig_spo2, "" if __name__ == '__main__': app.run_server(debug=True)