#!/usr/bin/env python3 """iHealth Evening Sync - Update Kitzu profile with latest weight/BP data.""" import json import os from datetime import datetime, timezone, timedelta # Paths PROFILE_PATH = "/Users/bsyrros/clawd/kitzu/data/unified/profile.json" WEIGHT_RAW_PATH = "/Users/bsyrros/clawd/kitzu/data/ihealth/weight_raw.json" BP_RAW_PATH = "/Users/bsyrros/clawd/kitzu/data/ihealth/bp_raw.json" # The weight data fetched from iHealth API WEIGHT_API_RESPONSE = { "CurrentRecordCount": 13, "WeightDataList": [ {"BMI": 30.93, "BoneValue": 10.36, "DataID": "b1da3cc56eb96663971b4fbe9a4fa297", "DataSource": "FromDevice", "FatValue": 28.9, "MDate": 1774682665, "MuscaleValue": 156.31, "VFR": 13, "WaterValue": 52, "WeightValue": 234.44, "measurement_time": "2026-03-28 07:24:25"}, {"BMI": 31.10, "BoneValue": 10.14, "DataID": "172c64c604a5764a666eae614bf78de5", "DataSource": "FromDevice", "FatValue": 29.0, "MDate": 1774768143, "MuscaleValue": 157.19, "VFR": 13, "WaterValue": 52, "WeightValue": 235.76, "measurement_time": "2026-03-29 07:09:03"}, {"BMI": 31.23, "BoneValue": -1, "DataID": "0d7c3e5625d681444f204f483c2acb2a", "DataSource": "FromDevice", "FatValue": -1, "MDate": 1774781930, "MuscaleValue": -1, "VFR": 0, "WaterValue": -1, "WeightValue": 236.69, "measurement_time": "2026-03-29 10:58:50"}, {"BMI": 30.86, "BoneValue": 10.14, "DataID": "27e06fcb3fcee121f7fe07623a5853a7", "DataSource": "FromDevice", "FatValue": 28.6, "MDate": 1774789051, "MuscaleValue": 156.97, "VFR": 13, "WaterValue": 52.3, "WeightValue": 233.93, "measurement_time": "2026-03-29 12:57:31"}, {"BMI": 30.90, "BoneValue": 10.36, "DataID": "9aaf9180db983edc43e84a6a6874daf4", "DataSource": "FromDevice", "FatValue": 28.7, "MDate": 1774854415, "MuscaleValue": 156.53, "VFR": 13, "WaterValue": 52.1, "WeightValue": 234.22, "measurement_time": "2026-03-30 07:06:55"}, {"BMI": 30.81, "BoneValue": 10.36, "DataID": "7470871416480a6add2ea0fddc8e72fb", "DataSource": "FromDevice", "FatValue": 28.6, "MDate": 1774879308, "MuscaleValue": 156.31, "VFR": 13, "WaterValue": 52.2, "WeightValue": 233.49, "measurement_time": "2026-03-30 14:01:48"}, {"BMI": 31.03, "BoneValue": 10.36, "DataID": "dfcc6fcc66c765115ecd6e1df2a65dc5", "DataSource": "FromDevice", "FatValue": 28.8, "MDate": 1774942478, "MuscaleValue": 157.19, "VFR": 13, "WaterValue": 52.1, "WeightValue": 235.23, "measurement_time": "2026-03-31 07:34:38"}, {"BMI": 30.86, "BoneValue": 10.14, "DataID": "0fa8334ad0f48a217ce6b23838be9683", "DataSource": "FromDevice", "FatValue": 28.1, "MDate": 1774968069, "MuscaleValue": 158.07, "VFR": 13, "WaterValue": 52.7, "WeightValue": 233.89, "measurement_time": "2026-03-31 14:41:09"}, {"BMI": 30.87, "BoneValue": 10.36, "DataID": "99d5d26425209a487afd91995802c910", "DataSource": "FromDevice", "FatValue": 28.0, "MDate": 1775002026, "MuscaleValue": 158.29, "VFR": 13, "WaterValue": 52.8, "WeightValue": 234.02, "measurement_time": "2026-04-01 00:07:06"}, {"BMI": 30.70, "BoneValue": 10.36, "DataID": "10682ae6a629217d9fdf63ddf22c9c78", "DataSource": "FromDevice", "FatValue": 27.9, "MDate": 1775028492, "MuscaleValue": 157.63, "VFR": 13, "WaterValue": 52.9, "WeightValue": 232.70, "measurement_time": "2026-04-01 07:28:12"}, {"BMI": 30.56, "BoneValue": 10.14, "DataID": "c87ac004d58798caae9ace6e94b7814e", "DataSource": "FromDevice", "FatValue": 27.8, "MDate": 1775070628, "MuscaleValue": 157.19, "VFR": 13, "WaterValue": 52.9, "WeightValue": 231.60, "measurement_time": "2026-04-01 19:10:28"}, {"BMI": 30.81, "BoneValue": 10.14, "DataID": "8aef6efaf04f57e7241337f23387261e", "DataSource": "FromDevice", "FatValue": 28.3, "MDate": 1775113647, "MuscaleValue": 157.19, "VFR": 13, "WaterValue": 52.5, "WeightValue": 233.49, "measurement_time": "2026-04-02 07:07:27"}, {"BMI": 30.87, "BoneValue": 10.36, "DataID": "f4ccc5c958303181204bf58600d6fc67", "DataSource": "FromDevice", "FatValue": 28.4, "MDate": 1775200551, "MuscaleValue": 157.19, "VFR": 13, "WaterValue": 52.4, "WeightValue": 233.98, "measurement_time": "2026-04-03 07:15:51"} ] } BP_API_RESPONSE = {"BPDataList": [], "CurrentRecordCount": 0} def load_json(path, default=None): try: with open(path, 'r') as f: content = f.read().strip() if not content: return default if default is not None else {} return json.loads(content) except (FileNotFoundError, json.JSONDecodeError): return default if default is not None else {} def save_json(path, data): os.makedirs(os.path.dirname(path), exist_ok=True) with open(path, 'w') as f: json.dump(data, f, indent=2) def get_date_from_measurement(mt): return mt.split(' ')[0] def main(): weight_list = WEIGHT_API_RESPONSE.get("WeightDataList", []) bp_list = BP_API_RESPONSE.get("BPDataList", []) # --- Load existing raw data --- existing_weight_raw = load_json(WEIGHT_RAW_PATH, default=[]) existing_bp_raw = load_json(BP_RAW_PATH, default=[]) existing_weight_ids = {r.get("DataID") for r in existing_weight_raw if isinstance(r, dict)} new_weight_records = [r for r in weight_list if r["DataID"] not in existing_weight_ids] merged_weight_raw = existing_weight_raw + new_weight_records existing_bp_ids = {r.get("DataID") for r in existing_bp_raw if isinstance(r, dict)} new_bp_records = [r for r in bp_list if r.get("DataID") not in existing_bp_ids] merged_bp_raw = existing_bp_raw + new_bp_records save_json(WEIGHT_RAW_PATH, merged_weight_raw) save_json(BP_RAW_PATH, merged_bp_raw) # --- Update Kitzu profile --- profile = load_json(PROFILE_PATH, default={}) if "vitals" not in profile: profile["vitals"] = {} vitals = profile["vitals"] sorted_weights = sorted(weight_list, key=lambda x: x["MDate"]) latest = sorted_weights[-1] vitals["weight"] = { "value_lbs": round(latest["WeightValue"], 1), "bmi": round(latest["BMI"], 1), "date": latest["measurement_time"], "source": "iHealth Nexus Pro" } valid_comp = [w for w in sorted_weights if w.get("FatValue", -1) > 0] if valid_comp: lc = valid_comp[-1] vitals["body_composition"] = { "body_fat_pct": round(lc["FatValue"], 1), "muscle_mass_lbs": round(lc["MuscaleValue"], 1), "bone_mass_lbs": round(lc["BoneValue"], 1) if lc.get("BoneValue", -1) > 0 else None, "water_pct": round(lc["WaterValue"], 1) if lc.get("WaterValue", -1) > 0 else None, "visceral_fat_rating": lc.get("VFR", None), "date": lc["measurement_time"], "source": "iHealth Nexus Pro" } if "weight_history" not in vitals: vitals["weight_history"] = [] existing_dates = {e.get("date") for e in vitals["weight_history"]} for w in sorted_weights: mt = w["measurement_time"] if mt not in existing_dates: vitals["weight_history"].append({ "date": mt, "value_lbs": round(w["WeightValue"], 1), "bmi": round(w["BMI"], 1), "body_fat_pct": round(w["FatValue"], 1) if w.get("FatValue", -1) > 0 else None, "source": "iHealth Nexus Pro" }) existing_dates.add(mt) vitals["weight_history"] = sorted(vitals["weight_history"], key=lambda x: x["date"]) # 7-day trend from morning weigh-ins morning_weights = {} for w in sorted_weights: date = get_date_from_measurement(w["measurement_time"]) time_str = w["measurement_time"].split(' ')[1] hour = int(time_str.split(':')[0]) if hour < 12: if date not in morning_weights or w["MDate"] < morning_weights[date]["MDate"]: morning_weights[date] = w if len(morning_weights) >= 2: sorted_days = sorted(morning_weights.keys()) first_val = morning_weights[sorted_days[0]]["WeightValue"] last_val = morning_weights[sorted_days[-1]]["WeightValue"] vitals["weight_trend_7d"] = { "start_date": sorted_days[0], "end_date": sorted_days[-1], "start_lbs": round(first_val, 1), "end_lbs": round(last_val, 1), "change_lbs": round(last_val - first_val, 1), "direction": "down" if last_val < first_val else "up" if last_val > first_val else "flat" } vitals["last_sync"] = datetime.now(timezone.utc).isoformat() if "blood_pressure" not in vitals: vitals["blood_pressure"] = None if "bp_history" not in vitals: vitals["bp_history"] = [] save_json(PROFILE_PATH, profile) # --- Summary --- print("=" * 50) print("iHealth Evening Sync Summary") print("=" * 50) print(f"New weight records added to raw: {len(new_weight_records)}") print(f"New BP records added to raw: {len(new_bp_records)}") print(f"Total weight records in raw file: {len(merged_weight_raw)}") print(f"Total weight history entries in profile: {len(vitals['weight_history'])}") print() print(f"Latest weight: {round(latest['WeightValue'], 1)} lbs ({latest['measurement_time']})") print(f"Latest BMI: {round(latest['BMI'], 1)}") if valid_comp: lc = valid_comp[-1] print(f"Latest body fat: {round(lc['FatValue'], 1)}%") print(f"Latest muscle mass: {round(lc['MuscaleValue'], 1)} lbs") print(f"Latest water %: {round(lc['WaterValue'], 1)}%") print(f"Visceral fat rating: {lc.get('VFR')}") print() if "weight_trend_7d" in vitals: t = vitals["weight_trend_7d"] print(f"7-day weight trend: {t['start_lbs']} -> {t['end_lbs']} lbs ({t['change_lbs']:+.1f} lbs, {t['direction']})") print(f" Period: {t['start_date']} to {t['end_date']}") print() print("Latest BP: No new BP readings in the last 7 days") print(f"Sync timestamp: {vitals['last_sync']}") print("=" * 50) if __name__ == "__main__": main()