Tools for acquiring and analyzing Oura API data.
Project description
Oura Ring for Python
Tools for acquiring and analyzing Oura API data.
Oura is a wearable ring for monitoring sleep, activity, and workouts.
Contents
Installation
The oura_ring
module can be installed via pip:
pip install oura-ring
Getting Started
In order to use the Oura client, you must first generate a personal_access_token
for your Oura account.
It is best practice to store this value in a .env
file:
# Oura credentials
PERSONAL_ACCESS_TOKEN="<PERSONAL_ACCESS_TOKEN>"
You can use python-dotenv
to load the enviroment variables for use in code:
import os
from dotenv import load_dotenv
load_dotenv()
pat = os.getenv("PERSONAL_ACCESS_TOKEN") or ""
Once the environment variables are loaded, an OuraClient
object can created:
# Using a traditional constructor and destructor
import oura_ring as ou
client = ou.OuraClient(pat)
...
del client
# Using a context manager that destructs automatically
with ou.OuraClient(pat) as client:
...
API Requests
There are nine different API requests that OuraClient
can make. Full Oura API v2 documentation can be found on Oura's website.
Get Personal Info
Method: get_personal_info()
Payload: None
Example Response:
{
"age": 31,
"weight": 74.8,
"height": 1.8,
"biological_sex": "male",
"email": "example@example.com"
}
Get Daily Sleep
Method: get_daily_sleep(start_date: str = <end_date - 1 day>, end_date: str = <today's date>, next_token: str = None)
Payload:
start_date
: The earliest date for which to get data. Expected in ISO 8601 format (YYYY-MM-DD). Defaults to one day before theend_date
parameter.end_date
: The latest date for which to get data. Expected in ISO 8601 format (YYYY-MM-DD). Defaults to today's date.next_token
: Optional pagination token.
Example Response:
{
"data": [
{
"contributors": {
"deep_sleep": 57,
"efficiency": 98,
"latency": 81,
"rem_sleep": 20,
"restfulness": 54,
"timing": 84,
"total_sleep": 60
},
"day": "2022-07-14",
"score": 63,
"timestamp": "2022-07-14T00:00:00+00:00"
},
...
],
"next_token": None
}
Get Daily Activity
Method: get_daily_activity(start_date: str = <end_date - 1 day>, end_date: str = <today's date>, next_token: str = None)
Payload:
start_date
: The earliest date for which to get data. Expected in ISO 8601 format (YYYY-MM-DD). Defaults to one day before theend_date
parameter.end_date
: The latest date for which to get data. Expected in ISO 8601 format (YYYY-MM-DD). Defaults to today's date.next_token
: Optional pagination token.
Example Response:
{
"data": [
{
"class_5_min": "<long sequence of 0|1|2|3|4|5>",
"score": 82,
"active_calories": 1222,
"average_met_minutes": 1.90625,
"contributors": {
"meet_daily_targets": 43,
"move_every_hour": 100,
"recovery_time": 100,
"stay_active": 98,
"training_frequency": 71,
"training_volume": 98
},
"equivalent_walking_distance": 20122,
"high_activity_met_minutes": 444,
"high_activity_time": 3000,
"inactivity_alerts": 0,
"low_activity_met_minutes": 117,
"low_activity_time": 10020,
"medium_activity_met_minutes": 391,
"medium_activity_time": 6060,
"met": {
"interval": 60,
"items": [
0.1,
...
],
"timestamp": "2021-11-26T04:00:00.000-08:00"
},
"meters_to_target": -16200,
"non_wear_time": 27480,
"resting_time": 18840,
"sedentary_met_minutes": 10,
"sedentary_time": 21000,
"steps": 18430,
"target_calories": 350,
"target_meters": 7000,
"total_calories": 3446,
"day": "2021-11-26",
"timestamp": "2021-11-26T04:00:00-08:00"
},
...
],
"next_token": None
}
Get Daily Readiness
Method: get_daily_sleep(start_date: str = <end_date - 1 day>, end_date: str = <today's date>, next_token: str = None)
Payload:
start_date
: The earliest date for which to get data. Expected in ISO 8601 format (YYYY-MM-DD). Defaults to one day before theend_date
parameter.end_date
: The latest date for which to get data. Expected in ISO 8601 format (YYYY-MM-DD). Defaults to today's date.next_token
: Optional pagination token.
Example Response:
{
"data": [
{
"contributors": {
"activity_balance": 56,
"body_temperature": 98,
"hrv_balance": 75,
"previous_day_activity": null,
"previous_night": 35,
"recovery_index": 47,
"resting_heart_rate": 94,
"sleep_balance": 73
},
"day": "2021-10-27",
"score": 66,
"temperature_deviation": -0.2,
"temperature_trend_deviation": 0.1,
"timestamp": "2021-10-27T00:00:00+00:00"
},
...
],
"next_token": None
}
Get Heart Rate
Method: get_daily_sleep(start_date: str = <end_date - 1 day>, end_date: str = <today's date>, next_token: str = None)
Payload:
start_date
: The earliest date for which to get data. Expected in ISO 8601 format (YYYY-MM-DD). Defaults to one day before theend_date
parameter.end_date
: The latest date for which to get data. Expected in ISO 8601 format (YYYY-MM-DD). Defaults to today's date.next_token
: Optional pagination token.
Example Response:
{
"data": [
{
"bpm": 60,
"source": "sleep",
"timestamp": "2021-01-01T01:02:03+00:00"
},
...
],
"next_token": None
}
Get Sleep Periods
Method: get_daily_sleep(start_date: str = <end_date - 1 day>, end_date: str = <today's date>, next_token: str = None)
Payload:
start_date
: The earliest date for which to get data. Expected in ISO 8601 format (YYYY-MM-DD). Defaults to one day before theend_date
parameter.end_date
: The latest date for which to get data. Expected in ISO 8601 format (YYYY-MM-DD). Defaults to today's date.next_token
: Optional pagination token.
Example Response:
{
"data": [
{
"average_breath": 12.625,
"average_heart_rate": 4.25,
"average_hrv": 117,
"awake_time": 4800,
"bedtime_end": "2022-07-12T09:25:14-07:00",
"bedtime_start": "2022-07-12T01:05:14-07:00",
"day": "2022-07-12",
"deep_sleep_duration": 4170,
"efficiency": 84,
"heart_rate": {
"interval": 300,
"items": [
null,
50,
46,
...
],
"timestamp": "2022-07-12T01:05:14.000-07:00"
},
"hrv": {
"interval": 300,
"items": [
null,
-102,
-122,
...
],
"timestamp": "2022-07-12T01:05:14.000-07:00"
},
"latency": 540,
"light_sleep_duration": 18750,
"low_battery_alert": false,
"lowest_heart_rate": 48,
"movement_30_sec": "<long sequence of 1|2|3>",
"period": 0,
"readiness_score_delta": 0,
"rem_sleep_duration": 2280,
"restless_periods": 415,
"sleep_phase_5_min": "<long sequence of 1|2|3|4>",
"sleep_score_delta": 0,
"time_in_bed": 30000,
"total_sleep_duration": null,
"type": "long_sleep"
},
...
],
"next_token": None
}
Get Sessions
Method: get_daily_sleep(start_date: str = <end_date - 1 day>, end_date: str = <today's date>, next_token: str = None)
Payload:
start_date
: The earliest date for which to get data. Expected in ISO 8601 format (YYYY-MM-DD). Defaults to one day before theend_date
parameter.end_date
: The latest date for which to get data. Expected in ISO 8601 format (YYYY-MM-DD). Defaults to today's date.next_token
: Optional pagination token.
Example Response:
{
"data": [
{
"day": "2021-11-12",
"start_datetime": "2021-11-12T12:32:09-08:00",
"end_datetime": "2021-11-12T12:40:49-08:00",
"type": "rest",
"heart_rate": null,
"heart_rate_variability": null,
"mood": null,
"motion_count": {
"interval": 5,
"items": [
0
],
"timestamp": "2021-11-12T12:32:09.000-08:00"
}
},
...
],
"next_token": None
}
Get Tags
Method: get_daily_sleep(start_date: str = <end_date - 1 day>, end_date: str = <today's date>, next_token: str = None)
Payload:
start_date
: The earliest date for which to get data. Expected in ISO 8601 format (YYYY-MM-DD). Defaults to one day before theend_date
parameter.end_date
: The latest date for which to get data. Expected in ISO 8601 format (YYYY-MM-DD). Defaults to today's date.next_token
: Optional pagination token.
Example Response:
{
"data": [
{
"day": "2021-01-01",
"text": "Need coffee",
"timestamp": "2021-01-01T01:02:03-08:00",
"tags": [
"tag_generic_nocaffeine"
]
},
...
],
"next_token": None
}
Get Workouts
Method: get_daily_sleep(start_date: str = <end_date - 1 day>, end_date: str = <today's date>, next_token: str = None)
Payload:
start_date
: The earliest date for which to get data. Expected in ISO 8601 format (YYYY-MM-DD). Defaults to one day before theend_date
parameter.end_date
: The latest date for which to get data. Expected in ISO 8601 format (YYYY-MM-DD). Defaults to today's date.next_token
: Optional pagination token.
Example Response:
{
"data": [
{
"activity": "cycling",
"calories": 300,
"day": "2021-01-01",
"distance": 13500.5,
"end_datetime": "2021-01-01T01:00:00.000000+00:00",
"intensity": "moderate",
"label": null,
"source": "manual",
"start_datetime": "2021-01-01T01:30:00.000000+00:00"
},
...
],
"next_token": None
}
Usage With DataFrame
Using Oura API data with a Pandas DataFrame is very straightforward:
>>> sleep = client.get_daily_sleep()
>>> pd.json_normalize(sleep["data"])
day score timestamp contributors.deep_sleep \
0 2022-09-01 76 2022-09-01T00:00:00+00:00 99
1 2022-09-02 81 2022-09-02T00:00:00+00:00 100
contributors.efficiency contributors.latency contributors.rem_sleep \
0 90 99 79
1 88 75 95
contributors.restfulness contributors.timing contributors.total_sleep
0 55 15 85
1 56 28 96
[2 rows x 10 columns]
>>> readiness = client.get_daily_readiness()
>>> pd.json_normalize(readiness["data"])
day score temperature_deviation temperature_trend_deviation \
0 2022-09-01 87 -0.09 0.24
1 2022-09-02 91 -0.03 0.11
timestamp contributors.activity_balance \
0 2022-09-01T00:00:00+00:00 80
1 2022-09-02T00:00:00+00:00 86
contributors.body_temperature contributors.hrv_balance \
0 100 84
1 100 85
contributors.previous_day_activity contributors.previous_night \
0 None 75
1 None 88
contributors.recovery_index contributors.resting_heart_rate \
0 100 100
1 94 98
contributors.sleep_balance
0 87
1 93
[2 rows x 13 columns]
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