def get_activity_zones(request):
patient_id = get_patient_id(request)
fb_user = get_object_or_404(FitbitUser, user_id=patient_id)
start_date, end_date = get_range(request)
summaries = fb_user.activity_summary.filter(date__gte=start_date,
date__lte=end_date)
zones = []
for summary in summaries:
data = summary.data.get('summary')
zones.append({
'date': format_date(summary.date),
# 'Sedentary': data.get('sedentaryMinutes', 0),
'Lightly active': data.get('lightlyActiveMinutes', 0),
'Fairly active': data.get('fairlyActiveMinutes', 0),
'Very active': data.get('veryActiveMinutes', 0),
})
if len(zones) == 0:
zones = [{
'date': format_date(end_date),
# 'Sedentary': 0,
'Lightly active': 0,
'Fairly active': 0,
'Very active': 0,
}]
return Response(zones)
def get_patient_details(request):
patient = get_object_or_404(User, id=get_patient_id(request))
try:
return Response({**patient.fb_auth.profile_data, 'user': patient.id})
except FitbitUser.DoesNotExist:
return Response({'detail': 'Not found.'},
status=status.HTTP_404_NOT_FOUND)
def get_activity_summary(request):
patient_id = get_patient_id(request)
fb_user = get_object_or_404(FitbitUser, user_id=patient_id)
bmr = fb_user.basal_metabolic_rate
start_date, end_date = get_range(request)
summaries = fb_user.activity_summary.filter(date__gte=start_date,
date__lte=end_date)
response = []
for summary in summaries:
response.append({
'weekIndex':
1,
'weekDay':
summary.date.strftime('%a'),
'physicalActivityLevel':
(summary.data.get('summary').get('caloriesOut') /
bmr if summary.data and summary.data.get('summary')
and summary.data.get('summary').get('caloriesOut') else 0),
'date':
format_date(summary.date),
'weekRange': {
'start': format_date(get_week_start_date(summary.date)),
'end': format_date(get_week_end_date(summary.date)),
}
})
return Response({
'summaries': response,
'startDate': format_date(get_week_start_date(start_date)),
'endDate': format_date(get_week_end_date(end_date))
})
def get_body_fat_metrics(request):
patient_id = get_patient_id(request)
fb_user = get_object_or_404(FitbitUser, user_id=patient_id)
start_date, end_date = get_range(request)
fat_logs = fb_user.fat_logs.filter(date__gte=start_date,
date__lte=end_date)
response_data = []
for log in fat_logs:
if log.fat is None:
continue
response_data.append({
'value': log.fat,
'metric_type': log.source,
'date': format_date(log.date),
'metric': 'Body Fat (%)'
})
if len(response_data) == 0:
response_data = [{
'value': 0,
'metric_type': 'dummy',
'date': format_date(end_date),
'metric': 'Body Fat (%)'
}]
return Response(response_data)
def get_calorie_count(request):
patient_id = get_patient_id(request)
fb_user = get_object_or_404(FitbitUser, user_id=patient_id)
bmr = fb_user.basal_metabolic_rate
start_date, end_date = get_range(request)
activity_summaries = fb_user.activity_summary.filter(
date__gte=start_date, date__lte=end_date).order_by('date')
food_summaries = fb_user.food_summary.filter(
date__gte=start_date, date__lte=end_date).order_by('date')
calories = []
for food_summary in food_summaries:
activity_summary = activity_summaries.filter(
date=food_summary.date).first()
activity_factor = (activity_summary.activity_factor
if activity_summary else 1.2)
optimal_value = bmr * activity_factor
calories.append({
'date':
format_date(food_summary.date),
'current_value':
food_summary.data.get('summary').get('calories', 0),
'optimal_value':
optimal_value,
})
return Response(calories)
def get_activity_zones(request):
patient_id = get_patient_id(request)
fb_user = get_object_or_404(FitbitUser, user_id=patient_id)
start_date, end_date = get_range(request)
summaries = fb_user.activity_summary.filter(
date__gte=start_date, date__lte=end_date)
zones = []
for summary in summaries:
data = summary.data.get('summary')
sedentary = data.get('sedentaryMinutes', 0) / 60
lightlyActive = data.get('lightlyActiveMinutes', 0) / 60
fairlyActive = data.get('fairlyActiveMinutes', 0) / 60
veryActive = data.get('veryActiveMinutes', 0) / 60
zones.append({
'date': format_date(summary.date),
'sedentary': sedentary,
'lightlyActive': lightlyActive,
'fairlyActive': fairlyActive,
'veryActive': veryActive,
'untracked': 24 - sum([sedentary, lightlyActive, fairlyActive, veryActive]),
})
if len(zones) == 0:
zones = [{
'date': format_date(end_date),
'sedentary': 0,
'lightlyActive': 0,
'fairlyActive': 0,
'veryActive': 0,
'untracked': 24,
}]
return Response(zones)
def get_heart_rate_zones(request):
patient_id = get_patient_id(request)
fb_user = get_object_or_404(FitbitUser, user_id=patient_id)
start_date, end_date = get_range(request)
heart_rate_logs = fb_user.heart_rate_summary.filter(date__gte=start_date,
date__lte=end_date)
data = HeartRateSummarySerializer(heart_rate_logs, many=True).data
return Response(data)
def get_activity_metrics(request):
patient_id = get_patient_id(request)
fb_user = get_object_or_404(FitbitUser, user_id=patient_id)
start_date, end_date = get_range(request)
summaries = fb_user.activity_summary.filter(date__gte=start_date,
date__lte=end_date)
metrics = []
for summary in summaries:
metrics.append({
'date': format_date(summary.date),
'metric': 'Step Count',
'value': summary.steps,
'optimal': 8170 # Check 'optimal values.md'
})
metrics.append({
'date': format_date(summary.date),
'metric': 'Flights climbed',
'value': summary.flights_climbed,
'optimal': {
'min': 2,
'max': 4
} # Check 'optimal values.md'
})
metrics.append({
'date': format_date(summary.date),
'metric': 'Distance travelled (m)',
'value': summary.distance_travelled * 1000, # km to m
# Check 'optimal values.md'
'optimal': {
'min': 1.5 * 1609.34,
'max': 3 * 1609.34
}
})
metrics.append({
'date': format_date(summary.date),
'metric': 'Active Duration (min)',
'value': summary.active_duration, # min
# Check 'optimal values.md'
'optimal': 27
})
if len(metrics) == 0:
metrics = [{
'date': format_date(end_date),
'metric': metric,
'value': 0,
} for metric in [
'Step Count', 'Flights climbed', 'Distance travelled (m)',
'Active Duration (hrs)'
]]
return Response(metrics)
def get_activity_summary(request):
patient_id = get_patient_id(request)
fb_user = get_object_or_404(FitbitUser, user_id=patient_id)
bmr = fb_user.basal_metabolic_rate
start_date, end_date = get_range(request)
start_date, end_date = get_week_start_date(
start_date), get_week_end_date(end_date)
summaries = fb_user.activity_summary.filter(
date__gte=start_date, date__lte=end_date)
response = []
date = start_date
delta = timedelta(days=1)
while date <= end_date:
data = {
'weekDay': date.strftime('%a'),
'date': format_date(date),
'weekRange': {
'start': format_date(get_week_start_date(date)),
'end': format_date(get_week_end_date(date)),
},
}
try:
summary = summaries.get(date=date)
data['physicalActivityLevel'] = (
summary.data.get('summary').get('caloriesOut') / bmr
if summary.data and summary.data.get('summary')
and summary.data.get('summary').get('caloriesOut') else 0)
except ActivitySummary.DoesNotExist:
data['physicalActivityLevel'] = None
finally:
response.append(data)
date += delta
return Response({
'summaries': response,
'startDate': format_date(start_date),
'endDate': format_date(end_date),
})
def get_body_weight_metrics(request):
patient_id = get_patient_id(request)
fb_user = get_object_or_404(FitbitUser, user_id=patient_id)
start_date, end_date = get_range(request)
weight_logs = fb_user.weight_logs.filter(date__gte=start_date,
date__lte=end_date)
response_data = []
for log in weight_logs:
response_data.append({
'value': log.bmi,
'metric_type': log.source,
'date': format_date(log.date),
'metric': 'Body Mass Index (BMI)',
'optimal': 28.1, # check 'optimal values.md'
})
response_data.append({
'value': log.weight,
'metric_type': log.source,
'date': format_date(log.date),
'metric': 'Body Weight (kgs)'
})
if len(weight_logs) == 0:
response_data = [{
'value': 0,
'metric_type': 'dummy',
'date': format_date(end_date),
'metric': 'Body Mass Index (BMI)'
}, {
'value': 0,
'metric_type': 'dummy',
'date': format_date(end_date),
'metric': 'Body Weight (kgs)'
}]
return Response(response_data)
