WHOOP like
data source

# Load the main table
import pandas as pd

cycles = pd.read_csv('physiological_cycles.csv')

# Convert timestamps to UTC
cycles['cycle_start'] = pd.to_datetime(
    cycles['cycle_start'], utc=True
)

# Convert to local time zone
cycles['cycle_start'] = cycles['cycle_start'].dt.tz_convert(
    'Europe/Moscow'
)

print(cycles[['cycle_start', 'hrv_rmssd_milli',
              'resting_heart_rate', 'recovery_score']].head())

import requests

access_token = "YOUR_TOKEN"

def get_all_recovery(start_date: str) -> list:
    """Get the entire Recovery history with pagination"""
    url = "https://api.prod.whoop.com/developer/v2/recovery"
    headers = {"Authorization": f"Bearer {access_token}"}
    results = []
    params = {"limit": 25, "start": start_date}

    while True:
        response = requests.get(url, headers=headers, params=params)
        data = response.json()
        results.extend(data["records"])

        # Pagination via next_token
        if not data.get("next_token"):
            break
        params["next_token"] = data["next_token"]

    return results

history = get_all_recovery("2023-01-01T00:00:00Z")
print(f"Records received: {len(history)}")