From 4287d1f03096607b063da346efbca4eb3402cae6 Mon Sep 17 00:00:00 2001 From: Arpan Ghosh <26424944+arpanghosh8453@users.noreply.github.com> Date: Sat, 29 Jul 2023 14:38:09 -0400 Subject: [PATCH] Added Sleep Regularity plot --- src/app.py | 55 +++++++++++++++++++++++++++-------- src/assets/custom_styling.css | 3 ++ 2 files changed, 46 insertions(+), 12 deletions(-) diff --git a/src/app.py b/src/app.py index dde1834..b5621d6 100644 --- a/src/app.py +++ b/src/app.py @@ -129,6 +129,11 @@ app.layout = html.Div(children=[ figure=px.bar(), config= {'displaylogo': False} ), + dcc.Graph( + id='graph_sleep_regularity', + figure=px.bar(), + config= {'displaylogo': False} + ), html.Div(id='sleep_table', style={'max-width': '1200px', 'margin': 'auto', 'font-weight': 'bold'}, children=[]), html.Div(style={"height": '40px'}), html.Div(className="hidden-print", style={'margin': 'auto', 'text-align': 'center'}, children=[ @@ -143,6 +148,20 @@ app.layout = html.Div(children=[ ]), ]) +def seconds_to_tick_label(seconds): + # Calculate the number of hours, minutes, and remaining seconds + hours, remainder = divmod(seconds, 3600) + minutes, seconds = divmod(remainder, 60) + mult, remainder = divmod(hours, 12) + if mult >=2: + hours = hours - (12*mult) + result_datetime = datetime(1, 1, 1, hour=hours, minute=minutes, second=seconds) + if result_datetime.hour >= 12: + result_datetime = result_datetime - timedelta(hours=12) + else: + result_datetime = result_datetime + timedelta(hours=12) + return result_datetime.strftime("%H:%M") + def format_minutes(minutes): return "%2dh %02dm" % (divmod(minutes, 60)) @@ -224,7 +243,7 @@ def disable_button_and_calculate(n_clicks, value): return False, True, True, True # fetch data and update graphs on click of submit -@app.callback(Output('report-title', 'children'), Output('date-range-title', 'children'), Output('generated-on-title', 'children'), Output('graph_RHR', 'figure'), Output('RHR_table', 'children'), Output('graph_steps', 'figure'), Output('graph_steps_heatmap', 'figure'), Output('steps_table', 'children'), Output('graph_activity_minutes', 'figure'), Output('fat_burn_table', 'children'), Output('cardio_table', 'children'), Output('peak_table', 'children'), Output('graph_weight', 'figure'), Output('weight_table', 'children'), Output('graph_spo2', 'figure'), Output('spo2_table', 'children'), Output('graph_sleep', 'figure'), Output('sleep_table', 'children'), Output('sleep-stage-checkbox', 'options'), 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('RHR_table', 'children'), Output('graph_steps', 'figure'), Output('graph_steps_heatmap', 'figure'), Output('steps_table', 'children'), Output('graph_activity_minutes', 'figure'), Output('fat_burn_table', 'children'), Output('cardio_table', 'children'), Output('peak_table', 'children'), Output('graph_weight', 'figure'), Output('weight_table', 'children'), Output('graph_spo2', 'figure'), Output('spo2_table', 'children'), Output('graph_sleep', 'figure'), Output('graph_sleep_regularity', 'figure'), Output('sleep_table', 'children'), Output('sleep-stage-checkbox', 'options'), 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) @@ -258,7 +277,7 @@ def update_output(n_clicks, value, start_date, end_date): weight_list = [] spo2_list = [] sleep_record_dict = {} - deep_sleep_list, light_sleep_list, rem_sleep_list, awake_list, total_sleep_list = [],[],[],[],[] + deep_sleep_list, light_sleep_list, rem_sleep_list, awake_list, total_sleep_list, sleep_start_times_list = [],[],[],[],[],[] fat_burn_minutes_list, cardio_minutes_list, peak_minutes_list = [], [], [] for entry in response_heartrate['activities-heart']: @@ -303,11 +322,19 @@ def update_output(n_clicks, value, start_date, end_date): for sleep_record in response_sleep["sleep"][::-1]: if sleep_record['isMainSleep']: try: + sleep_start_time = datetime.strptime(sleep_record["startTime"], "%Y-%m-%dT%H:%M:%S.%f") + if sleep_start_time.hour < 12: + sleep_start_time = sleep_start_time + timedelta(hours=12) + else: + sleep_start_time = sleep_start_time + timedelta(hours=-12) + sleep_time_of_day = sleep_start_time.time() sleep_record_dict[sleep_record['dateOfSleep']] = {'deep': sleep_record['levels']['summary']['deep']['minutes'], 'light': sleep_record['levels']['summary']['light']['minutes'], 'rem': sleep_record['levels']['summary']['rem']['minutes'], 'wake': sleep_record['levels']['summary']['wake']['minutes'], - 'total_sleep': sleep_record["minutesAsleep"]} + 'total_sleep': sleep_record["minutesAsleep"], + 'start_time_seconds': (sleep_time_of_day.hour * 3600) + (sleep_time_of_day.minute * 60) + sleep_time_of_day.second + } except KeyError as E: pass @@ -318,12 +345,14 @@ def update_output(n_clicks, value, start_date, end_date): rem_sleep_list.append(sleep_record_dict[day]['rem']) awake_list.append(sleep_record_dict[day]['wake']) total_sleep_list.append(sleep_record_dict[day]['total_sleep']) + sleep_start_times_list.append(sleep_record_dict[day]['start_time_seconds']) else: deep_sleep_list.append(None) light_sleep_list.append(None) rem_sleep_list.append(None) awake_list.append(None) total_sleep_list.append(None) + sleep_start_times_list.append(None) df_merged = pd.DataFrame({ "Date": dates_list, @@ -338,12 +367,15 @@ def update_output(n_clicks, value, start_date, end_date): "Light Sleep Minutes": light_sleep_list, "REM Sleep Minutes": rem_sleep_list, "Awake Minutes": awake_list, - "Total Sleep Minutes": total_sleep_list + "Total Sleep Minutes": total_sleep_list, + "Sleep Start Time Seconds": sleep_start_times_list }) + df_merged['Total Sleep Seconds'] = df_merged['Total Sleep Minutes']*60 + df_merged["Sleep End Time Seconds"] = df_merged["Sleep Start Time Seconds"] + df_merged['Total Sleep Seconds'] 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': int(df_merged["Steps Count"].mean()), '30d': int(df_merged.sort_values(by='Date', ascending=False)["Steps Count"].head(31).mean())} + steps_avg = {'overall': int(df_merged["Steps Count"].mean()), '30d': int(df_merged["Steps Count"].tail(31).mean())} weight_avg = {'overall': round(df_merged["weight"].mean(),1), '30d': round(df_merged["weight"].tail(30).mean(),1)} spo2_avg = {'overall': round(df_merged["SPO2"].mean(),1), '30d': round(df_merged["SPO2"].tail(30).mean(),1)} sleep_avg = {'overall': round(df_merged["Total Sleep Minutes"].mean(),1), '30d': round(df_merged["Total Sleep Minutes"].tail(30).mean(),1)} @@ -395,15 +427,14 @@ def update_output(n_clicks, value, start_date, end_date): fig_sleep_minutes.add_annotation(x=df_merged.iloc[df_merged["Total Sleep Minutes"].idxmax()]["Date"], y=df_merged["Total Sleep Minutes"].max(), text=str(format_minutes(df_merged["Total Sleep Minutes"].max())), showarrow=False, arrowhead=0, bgcolor="#5f040a", opacity=0.80, yshift=15, borderpad=5, font=dict(family="Helvetica, monospace", size=12, color="#ffffff"), ) fig_sleep_minutes.add_annotation(x=df_merged.iloc[df_merged["Total Sleep Minutes"].idxmin()]["Date"], y=df_merged["Total Sleep Minutes"].min(), text=str(format_minutes(df_merged["Total Sleep Minutes"].min())), showarrow=False, arrowhead=0, bgcolor="#0b2d51", opacity=0.80, yshift=-15, borderpad=5, font=dict(family="Helvetica, monospace", size=12, color="#ffffff"), ) fig_sleep_minutes.add_hline(y=df_merged["Total Sleep Minutes"].mean(), line_dash="dot",annotation_text="Average : " + str(format_minutes(int(df_merged["Total Sleep Minutes"].mean()))), 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_sleep_minutes.update_xaxes( - rangeslider_visible=True, - range=[dates_str_list[-30], dates_str_list[-1]], - rangeslider_range=[dates_str_list[0], dates_str_list[-1]] -) + fig_sleep_minutes.update_xaxes(rangeslider_visible=True,range=[dates_str_list[-30], dates_str_list[-1]],rangeslider_range=[dates_str_list[0], dates_str_list[-1]]) sleep_summary_df = calculate_table_data(df_merged, "Total Sleep Minutes") sleep_summary_table = dash_table.DataTable(sleep_summary_df.to_dict('records'), [{"name": i, "id": i} for i in sleep_summary_df.columns], style_data_conditional=[{'if': {'row_index': 'odd'},'backgroundColor': 'rgb(248, 248, 248)'}], style_header={'backgroundColor': '#636efa','fontWeight': 'bold', 'color': 'white', 'fontSize': '14px'}, style_cell={'textAlign': 'center'}) - - return report_title, report_dates_range, generated_on_date, fig_rhr, rhr_summary_table, fig_steps, fig_steps_heatmap, steps_summary_table, fig_activity_minutes, fat_burn_summary_table, cardio_summary_table, peak_summary_table, fig_weight, weight_summary_table, fig_spo2, spo2_summary_table, fig_sleep_minutes, sleep_summary_table, [{'label': 'Color Code Sleep Stages', 'value': 'Color Code Sleep Stages','disabled': False}], "" + fig_sleep_regularity = px.bar(df_merged, x="Date", y="Total Sleep Seconds", base="Sleep Start Time Seconds", title="Sleep Regularity

The chart time here is always in local time ( Independent of timezone changes )", labels={"Total Sleep Seconds":"Time of Day ( HH:MM )"}) + fig_sleep_regularity.update_layout(yaxis = dict(tickmode = 'array',tickvals = list(range(0, 120000, 10000)),ticktext = list(map(seconds_to_tick_label, list(range(0, 120000, 10000)))))) + fig_sleep_regularity.add_hline(y=df_merged["Sleep Start Time Seconds"].mean(), line_dash="dot",annotation_text="Sleep Start Time Trend : "+ str(seconds_to_tick_label(int(df_merged["Sleep Start Time Seconds"].mean()))), annotation_position="bottom right", annotation_bgcolor="#0a3024", annotation_opacity=0.6, annotation_borderpad=5, annotation_font=dict(family="Helvetica, monospace", size=14, color="#ffffff")) + fig_sleep_regularity.add_hline(y=df_merged["Sleep End Time Seconds"].mean(), line_dash="dot",annotation_text="Sleep End Time Trend : " + str(seconds_to_tick_label(int(df_merged["Sleep End Time Seconds"].mean()))), annotation_position="top left", annotation_bgcolor="#5e060d", annotation_opacity=0.6, annotation_borderpad=5, annotation_font=dict(family="Helvetica, monospace", size=14, color="#ffffff")) + return report_title, report_dates_range, generated_on_date, fig_rhr, rhr_summary_table, fig_steps, fig_steps_heatmap, steps_summary_table, fig_activity_minutes, fat_burn_summary_table, cardio_summary_table, peak_summary_table, fig_weight, weight_summary_table, fig_spo2, spo2_summary_table, fig_sleep_minutes, fig_sleep_regularity, sleep_summary_table, [{'label': 'Color Code Sleep Stages', 'value': 'Color Code Sleep Stages','disabled': False}], "" if __name__ == '__main__': app.run_server(debug=True) diff --git a/src/assets/custom_styling.css b/src/assets/custom_styling.css index 769e009..2e80f93 100644 --- a/src/assets/custom_styling.css +++ b/src/assets/custom_styling.css @@ -435,6 +435,9 @@ there. table { page-break-inside: avoid; } + .js-plotly-plot { + page-break-inside: avoid; + } @page { size: A4; margin: auto;