/ouraring-ha

A sync of https://github.com/nitobuendia/oura-custom-component for HACS

Primary LanguagePythonMIT LicenseMIT

Oura - Custom Component for Home-Assisant

This project is a custom component for Home-Assistant.

The component sensors with sleep data for previous days from Oura Ring.

Table of Contents

Installation

  1. Copy the files from the custom_component/oura/ folder into the custom_component/oura/ of your Home-Assistant installation.

  2. Configure the sensors following the instructions in Configuration.

  3. Restart the Home-Assistant instance.

Configuration

Schema

Under your configuration.yaml, you should include the sensor platform under which you should add the following configuration:

configuration.yaml

sensor:
  - platform: oura
    access_token:
    scan_interval:
    sensors:
      activity:
        name:
        attribute_state:
        max_backfill:
        monitored_dates:
        monitored_variables:
      heart_rate:
        name:
        attribute_state:
        max_backfill:
        monitored_dates:
        monitored_variables:
      readiness:
        name:
        attribute_state:
        max_backfill:
        monitored_dates:
        monitored_variables:
      sleep:
        name:
        attribute_state:
        max_backfill:
        monitored_dates:
        monitored_variables:
      sleep_periods:
        name:
        attribute_state:
        max_backfill:
        monitored_dates:
        monitored_variables:
      sleep_score:
        name:
        attribute_state:
        max_backfill:
        monitored_dates:
        monitored_variables:
      workouts:
        name:
        attribute_state:
        max_backfill:
        monitored_dates:
        monitored_variables:
  # (...) Potentially other sensors that you may have configured.

# (...) Other code on your configuration.yaml file.

Note: Make sure there are no two sensor platforms. If you already have one sensor: configuration, make sure to merge this code with yours.

Parameters

Top level parameters

  • access_token: Personal Oura token. See How to get personal Oura token section for how to obtain this data.
  • scan_interval: (Optional) Set how many seconds should pass in between refreshes. As the sleep data should only refresh once per day, we recommend to update every few hours (e.g. 7200 for 2h or 21600 for 6h).
  • sensors: (Optional) Determines which sensors to import and its configuration.

Sensors parameters

  • activity: (Optional) Configures activity sensor. By default, the activity sensor is not configured. Default name: oura_activity.
  • heart_rate: (Optional) Configures heart rate sensor. By default, the heart rate sensor is not configured. Default name: oura_heart_rate.
  • readiness: (Optional) Configures readiness sensor. By default, the readiness sensor is not configured. Default name: oura_readiness.
  • sleep: (Optional) Configures sleep sensor. By default the sleep sensor is added. Default name: oura_sleep.
  • sleep_periods: (Optional) Configures sleep periods sensor. By default, the sleep periods sensor is not configured. Default name: oura_sleep_periods.
  • workouts: (Optional) Configures workouts sensor. By default, the workouts sensor is not configured. Default name: oura_workouts.

Individual sensor parameters

  • name: (Optional) Name of the sensor (e.g. sleep_score).
  • attribute_state: (Optional) What monitored variable (i.e. attribute) will be used to define the main state of the sensor. To see the default values, check the state section within each sensor description below.
  • max_backfill: (Optional) How many days before to backfill if a day of data is not available. See Backfilling strategy section to understand how this parameter works. Default: 0.
  • monitored_dates: (Optional) Days that you want to monitor. See Monitored days section to understand what day values are supported. Default: yesterday.
  • monitored_variables: (Optional) Variables that you want to monitor. See monitored attributes section within each sensor description below to understand what variables are supported.

Example

sensor:
  - platform: oura
    access_token: !secret oura_api_token
    scan_interval: 7200 # 2h = 2h * 60min * 60 seconds
    sensors:
      readiness: {}
      sleep:
        name: sleep_data
        max_backfill: 3
        monitored_dates:
          - yesterday
          - monday
          - tuesday
          - wednesday
          - thursday
          - friday
          - saturday
          - sunday
          - 8d_ago # Last week, +1 to compare to yesterday.
  # (...) Potentially other sensors that you may have configured.

# (...) Other code on your configuration.yaml file.

This configuration will load two sensors: readiness and sleep.

Note: While in most sensors all attributes are optional, the configuration requires a dictionary to be passed. As such, this configuration would fail:

- platform: oura
  access_token: !secret oura_api_token
  scan_interval: 7200 # 2h = 2h * 60min * 60 seconds
  sensors:
    readiness:
    sleep:

This is because readiness and sleep both require a dictionary but the system interprets that we are passing a None value. In order to fix this, you can add at least one attribute (e.g. name) or you can simply set the value to {} which indicates an empty dictionary. The following configuration would be valid:

- platform: oura
  access_token: !secret oura_api_token
  scan_interval: 7200 # 2h = 2h * 60min * 60 seconds
  sensors:
    readiness: {}
    sleep:
      name: sleep_data

In this case, readiness sensor would use all the default values, whereas sleep sensor would use all the default configuration except for the name that will be using the sleep_data value passed.

How to get personal Oura token

The parameter access_token is provided by Oura. Read this Oura documentation for more information on how to get them.

This token is only valid for your personal data. If you need to access data from multiple users, you will need to configure multiple sensors.

Sensors

Common attributes

Monitored days

This data can be retrieve for multiple days at once. The days supported are:

  • yesterday: Previous day. This is the most recent data.
  • Xd_ago: Number of days ago (e.g. 8d_ago ago to get the data of yesterday last week).
  • monday, tuesday, ..., sunday: Previous days of the week.

Backfilling

What is Backfilling and why it is needed

Imagine you want to retrieve the previous day of data, but for some reason the data for that day does not exist. This would mean that the data would not be possible to be retrieved and will simply show unknown on the sensor.

This is frequent for yesterday as the data is not yet synced to the systems at midnight (you are still sleeping), but could happen for any day if you forgot to wear the ring. You may want this to stay like this or would prefer to backfill with the most relevant previous data. That process is called backfilling. This component allows to set a backfilling strategy:

Rule of thumb

The rule of thumb is that if backfilling is enabled, it will look for the previous day for yesterday and Xd_ago and for the previous week when using weekdays (e.g. monday or thursday).

Full backfilling logic

If you set the max_backfill value to 0, there will never be backfill of data. If a day of data is not available, it will show unknown.

If you set the max_backfill value to any positive integer, then it will backfill like this:

  • Xd_ago: If the data for X days ago is not available, looks for the day before. For example, if the setting is 8d_ago and is not available, it will look for the data 9d_ago. The number of previous days will depend on your backfill value. If the backfill is set to any value >1, it will check the value of previous day of data. If the data is found, then it will use this one. If not, it will continue as many times as the value of max_backfill (e.g. if the value is 3, it will check the 9d ago, then 10d ago, then 11d ago; it will stop as soon as one of these values is available (e.g. if 10d ago is available, it will not check 11d ago) and will return unknown if none of them has data).

  • yesterday: Same as Xd_ago. If yesterday is not available, looks for previous day. The number of previous days will depend on your backfill value. If the backfill is set to any value >1, it will check the value of previous day of data (the day before yesterday). If the data is found, then it will use this one. If not, it will continue as many times as the value of max_backfill (e.g. if the value is 3, it will check the previous day, then the previous, then the previous; it will stop as soon as one of these values is available and will return unknown if none of them has data).

  • monday, tuesday, ..., sunday: It works similar to Xd_ago except in that it looks for the previous week instead of previous day. For example, if last monday is not available, it will look for the monday of the previous week. If it's available, it will use it. If not, it will continue checking as many weeks back as the backfilling value.

Activity Sensor

Activity Sensor state

The state of the sensor will show the score for the first selected day (recommended: yesterday).

Activity Sensor monitored attributes

The attributes will contain the daily data for the selected days and monitored variables.

This sensor supports all the following monitored attributes:

  • class_5_min
  • score
  • active_calories
  • average_met_minutes
  • day
  • meet_daily_targets
  • move_every_hour
  • recovery_time
  • stay_active
  • training_frequency
  • training_volume
  • equivalent_walking_distance
  • high_activity_met_minutes
  • high_activity_time
  • inactivity_alerts
  • low_activity_met_minutes
  • low_activity_time
  • medium_activity_met_minutes
  • medium_activity_time
  • met
  • meters_to_target
  • non_wear_time
  • resting_time
  • sedentary_met_minutes
  • sedentary_time
  • steps
  • target_calories
  • target_meters
  • timestamp
  • total_calories

For a definition of all these variables, check Oura's API.

By default, the following attributes are being monitored: active_calories, high_activity_time, low_activity_time, medium_activity_time, non_wear_time, resting_time, sedentary_time, score, target_calories, total_calories.

Activity Sensor sample output

State: 50

Attributes:

yesterday:
  score: 50
  active_calories: 2
  high_activity_time: 0
  low_activity_time: 180
  medium_activity_time: 0
  non_wear_time: 55320
  resting_time: 27360
  sedentary_time: 3540
  target_calories: 550
  total_calories: 1702

Heart Rate Sensor

Heart Rate Sensor state

The state of the sensor will show the bpm for the first selected day (recommended: yesterday).

Heart Rate Sensor monitored attributes

The attributes will contain the daily data for the selected days and monitored variables.

This sensor supports all the following monitored attributes:

  • day
  • bpm
  • source
  • timestamp

For a definition of all these variables, check Oura's API.

By default, the following attributes are being monitored: day, bpm, source, timestamp.

Heart Rate Sensor sample output

State: 58

Attributes:

yesterday:
  - day: '2023-01-06'
    bpm: 58
    source: awake
    timestamp: '2023-01-06T16:40:38+00:00'
  - day: '2023-01-06'
    bpm: 53
    source: awake
    timestamp: '2023-01-06T16:40:52+00:00'
  - day: '2023-01-06'
    bpm: 55
    source: awake
    timestamp: '2023-01-06T16:40:53+00:00'
  - day: '2023-01-06'
    bpm: 60
    source: awake
    timestamp: '2023-01-06T16:50:59+00:00'
  - day: '2023-01-06'
    bpm: 64
    source: awake
    timestamp: '2023-01-06T16:51:25+00:00'
  - day: '2023-01-06'
    bpm: 62
    source: awake
    timestamp: '2023-01-06T16:51:31+00:00'
  - day: '2023-01-06'
    bpm: 64
    source: awake
    timestamp: '2023-01-06T16:56:02+00:00'
  # (...)

Bedtime Sensor

Bedtime Sensor state

The state of the sensor will show the bedtime start hour for the first selected day.

Bedtime Sensor monitored attributes

The attributes will contain the daily data for the selected days and monitored variables.

This sensor supports all the following monitored attributes:

  • bedtime_window_start: Recommended bedtime in HH:MM format.
  • bedtime_window_end: Recommended bedtime in HH:MM format.
  • day

For a definition of all these variables, check Oura's API.

By default, the following attributes are being monitored: bedtime_window_start, bedtime_window_end, day.

Bedtime Sensor sample output

State: 23:45

Attributes:

yesterday:
  bedtime_window_start: '23:45'
  bedtime_window_end: '00:30'
  day: '2023-01-05'

Readiness Sensor

Readiness Sensor state

The state of the sensor will show the score for the first selected day (recommended: yesterday).

Readiness Sensor monitored attributes

The attributes will contain the daily data for the selected days and monitored variables.

This sensor supports all the following monitored attributes:

  • day: YYYY-MM-DD of the date of the data point.
  • activity_balance
  • body_temperature
  • hrv_balance
  • previous_day_activity
  • previous_night
  • recovery_index
  • resting_heart_rate
  • sleep_balance
  • score
  • temperature_deviation
  • temperature_trend_deviation
  • timestamp

For a definition of all these variables, check Oura's API.

By default, the following attributes are being monitored: activity_balance, body_temperature, day, hrv_balance, previous_day_activity, previous_night, recovery_index, resting_heart_rate, sleep_balance, score, temperature_deviation, temperature_trend_deviation, timestamp.

Readiness Sensor sample output

State: 94

Attributes:

yesterday:
  activity_balance: 79
  body_temperature: 96
  day: '2023-01-03'
  hrv_balance: 94
  previous_day_activity: null
  previous_night: 86
  recovery_index: 100
  resting_heart_rate: 100
  sleep_balance: 98

Sessions Sensor

Sessions Sensor state

The state of the sensor will show the type for the first selected day (recommended: yesterday) and latest event by timestamp.

Sessions Sensor monitored attributes

The attributes will contain the daily data for the selected days and monitored variables.

This sensor supports all the following monitored attributes:

  • day: YYYY-MM-DD of the date of the data point.
  • start_datetime
  • end_datetime
  • type
  • heart_rate
  • heart_rate_variability
  • mood
  • motion_count

For a definition of all these variables, check Oura's API.

By default, the following attributes are being monitored: day, start_datetime, end_datetime, type, heart_rate, motion_count.

Sessions Sensor sample output

State: 94

Attributes:

yesterday:
  - day: '2021-11-12'
    start_datetime: '2021-11-12T12:32:09-08:00'
    end_datetime: '2021-11-12T12:40:49-08:00'
    type: 'rest'
  - day: '2021-11-12'
    start_datetime: '2021-11-12T19:45:07-08:00'
    end_datetime: '2021-11-12T20:39:27-08:00'
    type: 'meditation'

Sleep Sensor

Sleep Sensor State

The state of the sensor will show the sleep efficiency for the first selected day (recommended: yesterday).

Sleep Sensor monitored attributes

The attributes will contain the daily data for the selected days and monitored variables.

This sensor supports all the following monitored attributes:

  • day: YYYY-MM-DD of the date of the data point.
  • average_breath: Average breaths per minute (f.k.a breath_average).
  • average_heart_rate: Average beats per minute of your heart (f.k.a heart_rate_average).
  • average_hrv
  • awake_time: Time awake in seconds.
  • awake_duration_in_hours: Time awake in hours. Derived from awake_time.
  • bedtime_end: Timestamp at which you woke up from bed.
  • bedtime_end_hour: Time (HH:MM) at which you woke up from bed.
  • bedtime_start: Timestamp at which you went to bed.
  • bedtime_start_hour: Time (HH:MM) at which you went to bed.
  • deep_sleep_duration: Number of seconds in deep sleep phase.
  • deep_sleep_duration_in_hours: Number of hours in deep sleep phase. Derived from deep_sleep_duration.
  • efficiency: Sleep efficiency. Used as the state.
  • heart_rate
  • hrv
  • in_bed_duration_in_hours: Total hours in bed. Derived from time in bed.
  • latency
  • light_sleep_duration: Number of seconds in light sleep phase.
  • light_sleep_duration_in_hours: Number of hours in light sleep phase. Derived from light_sleep_duration.
  • low_battery_alert
  • lowest_heart_rate: Beats per minute of your resting heart (f.k.a resting_heart_rate).
  • movement_30_sec
  • period
  • readiness_score_delta
  • rem_sleep_duration: Number of seconds in REM sleep phase.
  • rem_sleep_duration_in_hours: Number of hours in REM sleep phase. Derived from rem_sleep_duration.
  • restless_periods
  • sleep_phase_5_min
  • sleep_score_delta
  • time_in_bed: Total number of seconds in bed.
  • total_sleep_duration: Total seconds of sleep.
  • total_sleep_duration_in_hours: Total hours of sleep. Derived from total_sleep_duration.
  • type: Type of sleep.

For a definition of all these variables, check Oura's API.

By default, the following attributes are being monitored: average_breath, average_heart_rate, awake_duration_in_hours, bedtime_start_hour, bedtime_end_hour, day, deep_sleep_duration_in_hours, in_bed_duration_in_hours, light_sleep_duration_in_hours, lowest_heart_rate, rem_sleep_duration_in_hours, total_sleep_duration_in_hours.

Formerly supported variables that are no longer part of the API (i.e. not supported):

  • temperature_delta: Delta temperature from sleeping to day.

Sleep Sensor sample output

State: 48

Attributes:

yesterday:
  'day': "2022-07-14"
  'bedtime_start_hour': "02:30"
  'bedtime_end_hour': "09:32"
  'average_breath': 14
  'lowest_heart_rate': 44
  'average_heart_rate': 47
  'deep_sleep_duration_in_hours': 0.72
  'rem_sleep_duration_in_hours': 0.32
  'light_sleep_duration_in_hours': 4.54
  'total_sleep_duration_in_hours': 5.58
  'awake_duration_in_hours': 1.45
  'in_bed_duration_in_hours': 7.0

8d_ago:
  'day': "2022-07-07"
  'bedtime_start_hour': "23:29"
  'bedtime_end_hour': "08:05"
  'average_breath': 14
  'lowest_heart_rate': 44
  'average_heart_rate': 48
  'deep_sleep_duration_in_hours': 2.05
  'rem_sleep_duration_in_hours': 0.82
  'light_sleep_duration_in_hours': 4.29
  'total_sleep_duration_in_hours': 7.16
  'awake_duration_in_hours': 1.44
  'in_bed_duration_in_hours': 8.23

Sleep Periods Sensor

Sleep Periods Sensor State

Same as Sleep Sensor but prioritizing the first sleep period for the given day.

Sleep Periods Sensor monitored attributes

Same as Sleep Sensor.

By default, the following attributes are being monitored: average_breath, average_heart_rate, bedtime_start_hour, bedtime_end_hour, day, total_sleep_duration_in_hours, type.

Sleep Periods Sensor sample output

State: 95

Attributes:

yesterday:
- average_breath: 13
  average_heart_rate: 56.375
  day: '2022-12-30'
  bedtime_end_hour: '01:43'
  bedtime_start_hour: '01:20'
  efficiency: 95
  total_sleep_duration_in_hours: 0.09
  type: sleep
- average_breath: 14.125
  average_heart_rate: 52
  day: '2022-12-30'
  efficiency: 71
  bedtime_end_hour: '08:09'
  bedtime_start_hour: '02:33'
  total_sleep_duration_in_hours: 5.02
  type: long_sleep

8d_ago:
- average_breath: 13.25
  average_heart_rate: 57.625
  day: '2023-12-23'
  bedtime_end_hour: '07:45'
  bedtime_start_hour: '00:28'
  total_sleep_duration_in_hours: 6.67
  type: long_sleep

Sleep Score Sensor

Sleep Score Sensor State

The state of the sensor will show the score for the first selected day (recommended: yesterday).

Sleep Score Sensor monitored attributes

The attributes will contain the daily data for the selected days and monitored variables.

This sensor supports all the following monitored attributes:

  • day: YYYY-MM-DD of the date of the data point.
  • deep_sleep
  • efficiency
  • latency
  • rem_sleep
  • restfulness
  • score
  • timing
  • timestamp
  • total_sleep

For a definition of all these variables, check Oura's API.

By default, the following attributes are being monitored: day, score.

Sleep Score Sensor sample output

State: 77

Attributes:

yesterday:
  'day': "2022-07-14"
  'score': 77

8d_ago:
  'day': "2022-07-07"
  'score': 91

Workouts Sensor

Workouts Sensor state

The state of the sensor will show the activity for the first selected day (recommended: yesterday) and latest event by timestamp.

Workouts Sensor monitored attributes

The attributes will contain the daily data for the selected days and monitored variables.

This sensor supports all the following monitored attributes:

  • day: YYYY-MM-DD of the date of the data point.
  • activity
  • calories
  • day
  • distance
  • end_datetime
  • intensity
  • label
  • source
  • start_datetime

For a definition of all these variables, check Oura's API.

By default, the following attributes are being monitored: day, activity, calories, intensity.

Workouts Sensor sample output

State: cycling

Attributes:

yesterday:
  - day: '2021-11-12'
    activity: 'cycling'
    calories: 212
    intensity: 'moderate'
  - day: '2021-11-12'
    activity: 'walking'
    calories: 35
    intensity: 'low'

Derived sensors

While the component retrieves all the data for all the days in one same attribute data, you can re-use this data into template sensors. This is more efficient than creating multiple sensors with multiple API calls.

Example for breaking up yesterday's data into multiple sensors using the template integration:

template:
  - sensor:
    - name: "Sleep Breath Average Yesterday"
      unique_id: sleep_breath_average_yesterday
      unit_of_measurement: bpm
      state: >
        {{ (state_attr('sensor.sleep_data', 'yesterday') or {}).get('average_breath') }}
      icon: "mdi:lungs"

    - name: "Sleep Resting Heart Rate Yesterday"
      unique_id: sleep_resting_heart_rate_yesterday
      unit_of_measurement: "bpm"
      state: >
        {{ (state_attr('sensor.sleep_data', 'yesterday') or {}).get('lowest_heart_rate') }}
      icon: "mdi:heart-pulse"

    - name: "Resting Average Heart Rate Yesterday"
      unique_id: resting_heart_rate_average_yesterday
      unit_of_measurement: "bpm"
      state: >
        {{ (state_attr('sensor.sleep_data', 'yesterday') or {}).get('average_heart_rate') }}
      icon: "mdi:heart-pulse"

    - name: "Bed Time Yesterday"
      unique_id: bed_time_yesterday
      state: >
        {{ (state_attr('sensor.sleep_data', 'yesterday') or {}).get('bedtime_start_hour') }}
      icon: "mdi:sleep"

    - name: "Wake Time Yesterday"
      unique_id: wake_time_yesterday
      state: >
        {{ (state_attr('sensor.sleep_data', 'yesterday') or {}).get('bedtime_end_hour') }}
      icon: "mdi:sleep-off"

    - name: "Deep Sleep Yesterday"
      unique_id: deep_sleep_yesterday
      unit_of_measurement: h
      state: >
        {{ (state_attr('sensor.sleep_data', 'yesterday') or {}).get('deep_sleep_duration_in_hours') }}
      icon: "mdi:bed"

    - name: "Rem Sleep Yesterday"
      unique_id: rem_sleep_yesterday
      unit_of_measurement: h
      state: >
        {{ (state_attr('sensor.sleep_data', 'yesterday') or {}).get('rem_sleep_duration_in_hours') }}
      icon: "mdi:bed"

    - name: "Light Sleep Yesterday"
      unique_id: light_sleep_yesterday
      unit_of_measurement: h
      state: >
        {{ (state_attr('sensor.sleep_data', 'yesterday') or {}).get('light_sleep_duration_in_hours') }}
      icon: "mdi:bed"

    - name: "Total Sleep Yesterday"
      unique_id: total_sleep_yesterday
      unit_of_measurement: h
      state: >
        {{ (state_attr('sensor.sleep_data', 'yesterday') or {}).get('total_sleep_duration_in_hours') }}
      icon: "mdi:sleep"

    - name: "Time Awake Yesterday"
      unique_id: time_awake_yesterday
      unit_of_measurement: h
      state: >
        {{ (state_attr('sensor.sleep_data', 'yesterday') or {}).get('awake_duration_in_hours') }}
      icon: "mdi:sleep-off"

    - name: "Time In Bed Yesterday"
      unique_id: time_in_bed_yesterday
      unit_of_measurement: h
      state: >
        {{ (state_attr('sensor.sleep_data', 'yesterday') or {}).get('in_bed_duration_in_hours') }}
      icon: "mdi:bed"

Do note that you may need to edit this for your needs and configuration. For example, in this case we are assuming that we want to read the sleep sensor data which is called sleep_data. From it, we're reading the data from yesterday - which is a monitored_dates. Inside this, we are reading a few attributes which are either loaded by default or part of the monitored_variables. These assumptions may not apply in your case, or you may want to monitor other attributes under other sensors, named differently, or for other dates.

Card Examples

apexcharts-card

Display Scores Last 7 Days

Card

image

Card YAML

type: custom:apexcharts-card
apex_config:
  chart:
    height: 150px
  xaxis:
    type: datetime
    labels:
      format: ddd
graph_span: 7d
header:
  show: true
  show_states: true
  colorize_states: true
  title: Oura Scores
  standard_format: true
series:
  - entity: sensor.oura_sleep_score
    name: Sleep
    color: '#20bf6b'
    show:
      in_chart: false
      in_header: true
  - entity: sensor.oura_sleep_score
    name: Sleep
    color: '#20bf6b'
    data_generator: |
      var data = [];
      var attributes = entity.attributes;
      for(let day in attributes) {
        if (typeof attributes[day] == 'object' && attributes[day] !== null) {
          var datapointday = moment(attributes[day].day);
          var datapointscore = attributes[day].score;
          if(datapointscore == null){
            datapointscore = 0
          }
          data.push({x: datapointday, y: datapointscore});
        }
      }
      return data;
    type: line
    show:
      in_chart: true
      in_header: false
  - entity: sensor.oura_readiness
    name: Readiness
    color: '#45aaf2'
    show:
      in_chart: false
      in_header: true
  - entity: sensor.oura_readiness
    name: Readiness
    color: '#45aaf2'
    data_generator: |
      var data = [];
      var attributes = entity.attributes;
      for(let day in attributes) {
        if (typeof attributes[day] == 'object' && attributes[day] !== null) {
          var datapointday = moment(attributes[day].day);
          var datapointscore = attributes[day].score;
          if(datapointscore == null){
            datapointscore = 0
          }
          data.push({x: datapointday, y: datapointscore});
        }
      }
      return data;
    type: line
    show:
      in_chart: true
      in_header: false
  - entity: sensor.oura_activity
    name: Activity
    color: '#fed330'
    show:
      in_chart: false
      in_header: true
  - entity: sensor.oura_activity
    name: Activity
    color: '#fed330'
    data_generator: |
      var data = [];
      var attributes = entity.attributes;
      for(let day in attributes) {
        if (typeof attributes[day] == 'object' && attributes[day] !== null) {
          var datapointday = moment(attributes[day].day);
          var datapointscore = attributes[day].score;
          if(datapointscore == null){
            datapointscore = 0
          }
          data.push({x: datapointday, y: datapointscore});
        }
      }
      return data;
    type: line
    show:
      in_chart: true
      in_header: false

Required Sensor Configuration.yaml

       sleep_score:
       name: oura_sleep_score
       max_backfill: 0 
       monitored_dates:
        - 0d_ago
        - 1d_ago
        - 2d_ago
        - 3d_ago
        - 4d_ago
        - 5d_ago
        - 6d_ago
        - 7d_ago
     activity:
       name: oura_activity
       max_backfill: 0
       monitored_dates:
        - 0d_ago
        - 1d_ago
        - 2d_ago
        - 3d_ago
        - 4d_ago
        - 5d_ago
        - 6d_ago
        - 7d_ago
     readiness:
       name: oura_readiness
       max_backfill: 0
       monitored_dates:
        - 0d_ago
        - 1d_ago
        - 2d_ago
        - 3d_ago
        - 4d_ago
        - 5d_ago
        - 6d_ago
        - 7d_ago

Display Sleep Trend Last 7 Days

Card

image

Card YAML

type: custom:apexcharts-card
apex_config:
chart:
  height: 200px
graph_span: 7d
header:
show: true
show_states: true
colorize_states: true
title: Sleep
standard_format: true
series:
- entity: sensor.oura_sleep_score
  name: Score
  show:
    in_chart: false
  color: white
- entity: sensor.0d_sleep_average_hr
  name: Avg HR
  show:
    in_chart: false
- entity: sensor.0d_lowest_heart_rate
  name: Lowest HR
  show:
    in_chart: false
- entity: sensor.oura_sleep_metrics
  name: In Bed
  color: grey
  data_generator: |
    var data = [];
    var attributes = entity.attributes;
    for(let day in attributes) {
      if (typeof attributes[day] == 'object' && attributes[day] !== null) {
        var datapointday = moment(attributes[day].day);
        var datapointscore = attributes[day].in_bed_duration_in_hours;
        if(datapointscore == null){
          datapointscore = 0;
        }
        data.push({x: datapointday, y: datapointscore});
      }
    }
    return data;
  type: area
  show:
    in_chart: true
    in_header: false
- entity: sensor.oura_sleep_metrics
  name: Total Sleep
  color: purple
  data_generator: |
    var data = [];
    var attributes = entity.attributes;
    for(let day in attributes) {
      if (typeof attributes[day] == 'object' && attributes[day] !== null) {
        var datapointday = moment(attributes[day].day);
        var datapointscore = attributes[day].total_sleep_duration_in_hours;
        if(datapointscore == null){
          datapointscore = 0;
        }
        data.push({x: datapointday, y: datapointscore});
      }
    }
    return data;
  type: area
  show:
    in_chart: true
    in_header: false
- entity: sensor.oura_sleep_metrics
  name: REM
  color: '#20bf6b'
  data_generator: |
    var data = [];
    var attributes = entity.attributes;
    for(let day in attributes) {
      if (typeof attributes[day] == 'object' && attributes[day] !== null) {
        var datapointday = moment(attributes[day].day);
        var datapointscore = attributes[day].rem_sleep_duration_in_hours;
        if(datapointscore == null){
          datapointscore = 0;
        }
        data.push({x: datapointday, y: datapointscore});
      }
    }
    return data;
  type: column
  show:
    in_chart: true
    in_header: false
- entity: sensor.oura_sleep_metrics
  name: Deep
  color: '#45aaf2'
  data_generator: |
    var data = [];
    var attributes = entity.attributes;
    for(let day in attributes) {
      if (typeof attributes[day] == 'object' && attributes[day] !== null) {
        var datapointday = moment(attributes[day].day);
        var datapointscore = attributes[day].deep_sleep_duration_in_hours;
        if(datapointscore == null){
          datapointscore = 0;
        }
        data.push({x: datapointday, y: datapointscore});
      }
    }
    return data;
  type: column
  show:
    in_chart: true
    in_header: false
- entity: sensor.oura_sleep_metrics
  name: Light
  color: '#fed330'
  data_generator: |
    var data = [];
    var attributes = entity.attributes;
    for(let day in attributes) {
      if (typeof attributes[day] == 'object' && attributes[day] !== null) {
        var datapointday = moment(attributes[day].day);
        var datapointscore = attributes[day].light_sleep_duration_in_hours;
        if(datapointscore == null){
          datapointscore = 0;
        }
        data.push({x: datapointday, y: datapointscore});
      }
    }
    return data;
  type: column
  show:
    in_chart: true
    in_header: false
- entity: sensor.oura_sleep_metrics
  name: Awake
  color: '#fc5c65'
  data_generator: |
    var data = [];
    var attributes = entity.attributes;
    for(let day in attributes) {
      if (typeof attributes[day] == 'object' && attributes[day] !== null) {
        var datapointday = moment(attributes[day].day);
        var datapointscore = attributes[day].awake_duration_in_hours;
        if(datapointscore == null){
          datapointscore = 0;
        }
        data.push({x: datapointday, y: datapointscore});
      }
    }
    return data;
  type: column
  show:
    in_chart: true
    in_header: false

Required Sensor Configuration.yaml

     sleep_score:
     name: oura_sleep_score
     max_backfill: 0 
     monitored_dates:
      - 0d_ago
      - 1d_ago
      - 2d_ago
      - 3d_ago
      - 4d_ago
      - 5d_ago
      - 6d_ago
      - 7d_ago
     name: oura_sleep_metrics
     max_backfill: 0
     monitored_dates:
      - 0d_ago
      - 1d_ago
      - 2d_ago
      - 3d_ago
      - 4d_ago
      - 5d_ago
      - 6d_ago
      - 7d_ago
      - 8d_ago

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