Lars
d4868b3797
- Introduced new functions to handle vital signs data retrieval and processing, including fallback mechanisms for missing values. - Updated SQL queries in `build_vital_signs_matrix_chart_payload` to improve date filtering and data accuracy. - Enhanced the frontend `RecoveryDashboardOverview` component to display vital signs with contextual coloring based on health tones. - Adjusted the data structure for chart rendering, ensuring a more informative and visually appealing representation of vital metrics.
113 lines
3.9 KiB
Python
113 lines
3.9 KiB
Python
"""
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Layer 2b: Recovery/Erholung — Bundle für Verlauf unter Fitness (Issue 53).
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"""
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from __future__ import annotations
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from typing import Any, Dict, Optional
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from db import get_db, get_cursor
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from data_layer.recovery_chart_payloads import (
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build_hrv_rhr_baseline_chart_payload,
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build_recovery_score_chart_payload,
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build_sleep_debt_chart_payload,
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build_sleep_duration_quality_chart_payload,
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build_vital_signs_matrix_chart_payload,
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)
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from data_layer.recovery_interpretation import (
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build_recovery_dashboard_kpi_tiles,
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build_recovery_progress_insights,
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)
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from data_layer.recovery_metrics import (
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calculate_hrv_vs_baseline_pct,
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calculate_recovery_score_v2,
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calculate_rhr_vs_baseline_pct,
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calculate_sleep_debt_hours,
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get_sleep_duration_data,
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)
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def _has_recovery_sources(profile_id: str) -> bool:
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with get_db() as conn:
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cur = get_cursor(conn)
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cur.execute("SELECT 1 FROM sleep_log WHERE profile_id=%s LIMIT 1", (profile_id,))
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if cur.fetchone():
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return True
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cur.execute("SELECT 1 FROM vitals_baseline WHERE profile_id=%s LIMIT 1", (profile_id,))
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return cur.fetchone() is not None
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def get_recovery_dashboard_viz_bundle(profile_id: str, days: int) -> Dict[str, Any]:
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"""
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Ein Request: KPIs, Insights, Charts R1–R5 (Chart.js-kompatibel).
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"""
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if not _has_recovery_sources(profile_id):
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return {
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"confidence": "insufficient",
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"has_recovery_data": False,
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"message": "Noch keine Schlaf- oder Vitaldaten",
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"kpi_tiles": [],
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"progress_insights": [],
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"charts": {},
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"meta": {"layer_1": "recovery_metrics", "layer_2b": "recovery_viz"},
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}
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all_history = days >= 9999
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eff_days = 3650 if all_history else max(7, min(int(days), 3650))
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chart_days = min(90, max(7, min(eff_days, 365)))
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# Vital-Matrix: längeres Fenster + Fallback im Builder, damit nicht nur „letzte 30 Tage“
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vital_days = min(365, max(30, min(eff_days, 365)))
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recovery_score_val = calculate_recovery_score_v2(profile_id)
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sleep_debt = calculate_sleep_debt_hours(profile_id)
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dur = get_sleep_duration_data(profile_id, chart_days)
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avg_sleep = None
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if dur.get("confidence") != "insufficient":
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avg_sleep = float(dur.get("avg_duration_hours") or 0) or None
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hrv_dev = calculate_hrv_vs_baseline_pct(profile_id)
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rhr_dev = calculate_rhr_vs_baseline_pct(profile_id)
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kpi_tiles = build_recovery_dashboard_kpi_tiles(
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recovery_score_val,
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float(sleep_debt) if sleep_debt is not None else None,
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avg_sleep,
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float(hrv_dev) if hrv_dev is not None else None,
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float(rhr_dev) if rhr_dev is not None else None,
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)
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insights = build_recovery_progress_insights(
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recovery_score_val,
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float(sleep_debt) if sleep_debt is not None else None,
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float(hrv_dev) if hrv_dev is not None else None,
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)
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charts = {
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"recovery_score": build_recovery_score_chart_payload(profile_id, chart_days),
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"hrv_rhr": build_hrv_rhr_baseline_chart_payload(profile_id, chart_days),
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"sleep_duration_quality": build_sleep_duration_quality_chart_payload(profile_id, chart_days),
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"sleep_debt": build_sleep_debt_chart_payload(profile_id, chart_days),
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"vital_signs_matrix": build_vital_signs_matrix_chart_payload(profile_id, vital_days),
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}
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conf = "medium"
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if recovery_score_val is None and sleep_debt is None:
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conf = "low"
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return {
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"confidence": conf,
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"has_recovery_data": True,
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"days_requested": days,
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"effective_window_days": eff_days,
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"chart_days_used": chart_days,
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"vital_matrix_days_used": vital_days,
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"kpi_tiles": kpi_tiles,
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"progress_insights": insights,
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"charts": charts,
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"meta": {
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"layer_1": "recovery_metrics",
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"layer_2b": "recovery_viz",
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"issue": "53-layer-2b-recovery",
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},
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}
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