refactor: enhance body history visualization logic and frontend labels
- Updated the `get_body_history_viz_bundle` function to retrieve the two most recent circumference measurements for improved data accuracy. - Refactored the handling of previous measurement data to ensure comprehensive interpolation for body metrics. - Modified frontend labels in the `buildBodyKpiTiles` function to provide clearer descriptions in German, enhancing user understanding of body metrics.
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@ -231,7 +231,7 @@ def get_body_history_viz_bundle(profile_id: str, days: int) -> Dict[str, Any]:
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FROM circumference_log
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WHERE profile_id = %s AND date >= %s
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ORDER BY date DESC
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LIMIT 1
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LIMIT 2
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""",
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(profile_id, cutoff),
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)
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@ -242,11 +242,13 @@ def get_body_history_viz_bundle(profile_id: str, days: int) -> Dict[str, Any]:
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FROM circumference_log
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WHERE profile_id = %s
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ORDER BY date DESC
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LIMIT 1
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LIMIT 2
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""",
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(profile_id,),
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)
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latest_circ_row = r2d(cur.fetchone())
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circ_latest_desc = [r2d(r) for r in cur.fetchall()]
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latest_circ_row = circ_latest_desc[0] if circ_latest_desc else None
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prev_circ_row = circ_latest_desc[1] if len(circ_latest_desc) > 1 else None
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# Latest weight in window
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latest_w = w_points[-1] if w_points else None
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@ -334,14 +336,40 @@ def get_body_history_viz_bundle(profile_id: str, days: int) -> Dict[str, Any]:
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measurement["c_belly"] = safe_float(latest_circ_row.get("c_belly"))
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if latest_w:
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measurement["weight"] = safe_float(latest_w.get("weight"))
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# Referenzdatum für „aktuell“: neueste verfügbare Quelle (Caliper > Umfang > Gewicht)
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if not measurement.get("date"):
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if latest_circ_row and latest_circ_row.get("date"):
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measurement["date"] = latest_circ_row.get("date")
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elif latest_w and latest_w.get("date"):
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measurement["date"] = latest_w.get("date")
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prev_for_interp = None
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# Vorperiode: vorherige Caliper-Zeile + vorherige Umfangsmessung + vorheriges Gewicht (w_points[-2])
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prev_for_interp: Optional[Dict[str, Any]] = {}
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if prev_cal:
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prev_for_interp = {
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"date": prev_cal.get("date"),
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"body_fat_pct": safe_float(prev_cal.get("body_fat_pct")),
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"lean_mass": safe_float(prev_cal.get("lean_mass")),
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}
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prev_for_interp["date"] = prev_cal.get("date")
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prev_for_interp["body_fat_pct"] = safe_float(prev_cal.get("body_fat_pct"))
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prev_for_interp["lean_mass"] = safe_float(prev_cal.get("lean_mass"))
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if prev_circ_row:
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prev_for_interp["c_waist"] = safe_float(prev_circ_row.get("c_waist"))
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prev_for_interp["c_hip"] = safe_float(prev_circ_row.get("c_hip"))
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prev_for_interp["c_belly"] = safe_float(prev_circ_row.get("c_belly"))
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if not prev_for_interp.get("date") and prev_circ_row.get("date"):
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prev_for_interp["date"] = prev_circ_row.get("date")
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if len(w_points) >= 2:
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prev_for_interp["weight"] = safe_float(w_points[-2].get("weight"))
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if not prev_for_interp.get("date") and w_points[-2].get("date"):
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prev_for_interp["date"] = w_points[-2].get("date")
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if not prev_for_interp:
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prev_for_interp = None
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else:
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# Mindestens ein vergleichbares Feld zur aktuellen Messung
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has_cmp = any(
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prev_for_interp.get(k) is not None
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for k in ("body_fat_pct", "lean_mass", "weight", "c_waist", "c_belly")
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)
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if not has_cmp:
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prev_for_interp = None
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tiles = get_body_interpretation_tiles(measurement, profile_ui, prev_for_interp)
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@ -187,10 +187,10 @@ function buildBodyKpiTiles({
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const ok = summary.whr < (sex === 'm' ? 0.9 : 0.85)
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tiles.push({
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key: 'whr',
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category: 'WHR',
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category: 'Fettverteilung',
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icon: '📐',
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value: String(summary.whr),
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sublabel: 'Taille ÷ Hüfte',
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sublabel: 'WHR · Taille ÷ Hüfte',
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verdict: whrRule ? verdictShort(whrRule.status) : (ok ? 'Gut' : 'Hinweis'),
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status: whrRule?.status || (ok ? 'good' : 'warn'),
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hoverTop: whrRule?.title || 'Waist-Hip-Ratio',
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@ -203,10 +203,10 @@ function buildBodyKpiTiles({
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const ok = summary.whtr < 0.5
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tiles.push({
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key: 'whtr',
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category: 'WHtR',
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category: 'Taille/Größe',
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icon: '📏',
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value: String(summary.whtr),
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sublabel: 'Taille ÷ Größe',
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sublabel: 'WHtR · Taille ÷ Größe',
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verdict: whtrRule ? verdictShort(whtrRule.status) : (ok ? 'Gut' : 'Hinweis'),
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status: whtrRule?.status || (ok ? 'good' : 'warn'),
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hoverTop: whtrRule?.title || 'Waist-to-Height-Ratio',
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