Oura stats

• handy to examinate impact of self experiment on sleet

What is doing

• script to get daily sleep stats from API and compute weekly average of values "light_sleep_duration", "rem_sleep_duration, "average_hrv" and "average_heart_rate"
• compute long term average (base line)
• compute diff of each week against baseline
• save computed values as csv. and json values for next processing/visualization
• build human readble markdown (week averages, long term average, diff between long term average and each week)

How to use

• generate oura API key
• set the key as env var OURA_API_KEY
• run the script

Output data example

• csv

week,week-start,deep_sleep,light_sleep,rem_sleep,average_hrv,average_heart_rate
1,2023-01-02,42,42,42,42,42

• json

  {
    "week": 1,
    "week-start": "2023-01-02",
    "deep_sleep": "42",
    "light_sleep": "42",
    "rem_sleep": "42",
    "average_hrv": "42",
    "average_heart_rate": "42"
  },

• markdown

# Your sleep data    

## Average week values
week|week-start|deep_sleep|light_sleep|rem_sleep|average_hrv|average_heart_rate
---|---|---|---|---|---|---
1|2023-01-02|42|42|42|42|42

## Long term average (base line)
week|week-start|deep_sleep|light_sleep|rem_sleep|average_hrv|average_heart_rate
---|---|---|---|---|---|---
baseline|avg|42|42|42|42|42

    
## Differences against baseline data
week|week-start|deep_sleep_diff|light_sleep_diff|rem_sleep_diff|average_hrv_diff|average_heart_rate_diff
---|---|---|---|---|---|---
1|2023-01-02|0|0|0|0|0

Next work/Todos

• add integration test
• slip to methods
• use only float internally
• add option to select arbitrary baseline (x weeks)
• mark in markdown by color if some values are above or below certain threshold