feat: add blood pressure, VO2 max, and SpO2 to vitals stats
All checks were successful
Deploy Development / deploy (push) Successful in 48s
Build Test / lint-backend (push) Successful in 0s
Build Test / build-frontend (push) Successful in 13s

- Avg blood pressure (systolic/diastolic) 7d and 30d
- Latest VO2 Max value
- Avg SpO2 7d and 30d
- Backend now provides all metrics expected by frontend

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Lars 2026-03-23 15:18:13 +01:00
parent 9634ca8909
commit a55f11bc96

View File

@ -330,6 +330,12 @@ def get_vitals_stats(
AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '30 days' THEN resting_hr END) as avg_hr_30d,
AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '7 days' THEN hrv END) as avg_hrv_7d,
AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '30 days' THEN hrv END) as avg_hrv_30d,
AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '7 days' THEN blood_pressure_systolic END) as avg_bp_sys_7d,
AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '30 days' THEN blood_pressure_systolic END) as avg_bp_sys_30d,
AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '7 days' THEN blood_pressure_diastolic END) as avg_bp_dia_7d,
AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '30 days' THEN blood_pressure_diastolic END) as avg_bp_dia_30d,
AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '7 days' THEN spo2 END) as avg_spo2_7d,
AVG(CASE WHEN date >= CURRENT_DATE - INTERVAL '30 days' THEN spo2 END) as avg_spo2_30d,
COUNT(*) as total_entries
FROM vitals_log
WHERE profile_id = %s AND date >= CURRENT_DATE - INTERVAL '%s days'
@ -338,6 +344,20 @@ def get_vitals_stats(
)
stats_row = cur.fetchone()
# Get latest VO2 Max
cur.execute(
"""
SELECT vo2_max
FROM vitals_log
WHERE profile_id = %s AND vo2_max IS NOT NULL
ORDER BY date DESC
LIMIT 1
""",
(pid,)
)
vo2_row = cur.fetchone()
latest_vo2 = vo2_row['vo2_max'] if vo2_row else None
# Get entries for trend calculation (last 14 days)
cur.execute(
"""
@ -388,6 +408,13 @@ def get_vitals_stats(
"avg_resting_hr_30d": round(stats_row['avg_hr_30d'], 1) if stats_row['avg_hr_30d'] else None,
"avg_hrv_7d": round(stats_row['avg_hrv_7d'], 1) if stats_row['avg_hrv_7d'] else None,
"avg_hrv_30d": round(stats_row['avg_hrv_30d'], 1) if stats_row['avg_hrv_30d'] else None,
"avg_bp_systolic_7d": round(stats_row['avg_bp_sys_7d'], 1) if stats_row['avg_bp_sys_7d'] else None,
"avg_bp_systolic_30d": round(stats_row['avg_bp_sys_30d'], 1) if stats_row['avg_bp_sys_30d'] else None,
"avg_bp_diastolic_7d": round(stats_row['avg_bp_dia_7d'], 1) if stats_row['avg_bp_dia_7d'] else None,
"avg_bp_diastolic_30d": round(stats_row['avg_bp_dia_30d'], 1) if stats_row['avg_bp_dia_30d'] else None,
"avg_spo2_7d": round(stats_row['avg_spo2_7d'], 1) if stats_row['avg_spo2_7d'] else None,
"avg_spo2_30d": round(stats_row['avg_spo2_30d'], 1) if stats_row['avg_spo2_30d'] else None,
"latest_vo2_max": float(latest_vo2) if latest_vo2 else None,
"total_entries": stats_row['total_entries'],
"trend_resting_hr": trend_hr,
"trend_hrv": trend_hrv,