mitai-jinkendo/backend/placeholder_registrations/vitalwerte.py
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feat: Add new profile and time period placeholders in placeholder_resolver.py
- Introduced functions to retrieve profile name, age, height, and gender for better placeholder resolution.
- Added functions for displaying current date and time period labels (last 7, 30, and 90 days).
- Updated PLACEHOLDER_MAP to utilize new functions for improved readability and maintainability.
- Enhanced placeholder registrations in __init__.py to include new modules for sleep, vital metrics, and profile time periods.

These changes enhance the flexibility and functionality of the placeholder system, allowing for more dynamic content generation.
2026-04-11 21:08:34 +02:00

181 lines
7.1 KiB
Python

"""
Registry: Baseline-Vitals (Ruhepuls, HRV, VO2 Max) und Abweichung vs. persönlicher Baseline.
"""
from placeholder_registry import (
PlaceholderMetadata,
MissingValuePolicy,
EvidenceType,
OutputType,
PlaceholderType,
register_placeholder,
)
CAT = "Vitalwerte"
MVP = lambda reason, disp: MissingValuePolicy(
available=False, value_raw=None, missing_reason=reason, legacy_display=disp
)
def _tag(m: PlaceholderMetadata):
for f in (
"key", "category", "description", "resolver_module", "resolver_function",
"data_layer_module", "data_layer_function", "source_tables", "semantic_contract",
"unit", "time_window", "output_type", "placeholder_type", "format_hint",
"example_output", "minimum_data_requirements", "confidence_logic",
"missing_value_policy", "layer_1_decision", "layer_2a_decision",
"layer_2b_reuse_possible", "architecture_alignment", "issue_53_alignment",
):
m.set_evidence(f, EvidenceType.CODE_DERIVED)
m.set_evidence("business_meaning", EvidenceType.DRAFT_DERIVED)
m.set_evidence("known_limitations", EvidenceType.MIXED)
def register_vitalwerte():
m = PlaceholderMetadata(
key="vitals_avg_hr",
category=CAT,
description="Durchschnittlicher Ruhepuls (7d), formatiert",
resolver_module="backend/placeholder_resolver.py",
resolver_function="get_vitals_avg_hr",
data_layer_module="backend/data_layer/health_metrics.py",
data_layer_function="get_resting_heart_rate_data",
source_tables=["vitals_baseline"],
semantic_contract="Mittel RHR aus vitals_baseline im Fenster (siehe health_metrics).",
business_meaning="KI-Kontext kardiovaskuläre Ruhelage",
unit="bpm (Anzeige mit Einheit)",
time_window="7d default im Resolver",
output_type=OutputType.STRING,
placeholder_type=PlaceholderType.INTERPRETED,
format_hint="z. B. 58 bpm",
example_output="58 bpm",
minimum_data_requirements="vitals_baseline im Fenster",
quality_filter_policy=None,
confidence_logic="data['confidence'] im Layer1",
missing_value_policy=MVP("no_data", "nicht verfügbar"),
known_limitations="Nur erfasste Morgen-Baseline-Messungen",
layer_1_decision="health_metrics.get_resting_heart_rate_data",
layer_2a_decision="get_vitals_avg_hr",
layer_2b_reuse_possible=True,
architecture_alignment="Phase 0c",
issue_53_alignment="Layer 1",
evidence={},
)
_tag(m)
register_placeholder(m)
m = PlaceholderMetadata(
key="vitals_avg_hrv",
category=CAT,
description="Durchschnittliche HRV (7d), formatiert",
resolver_module="backend/placeholder_resolver.py",
resolver_function="get_vitals_avg_hrv",
data_layer_module="backend/data_layer/health_metrics.py",
data_layer_function="get_heart_rate_variability_data",
source_tables=["vitals_baseline"],
semantic_contract="Mittel HRV aus vitals_baseline im Fenster.",
business_meaning="KI-Kontext autonome Regulation / Erholung",
unit="ms (Anzeige mit Einheit)",
time_window="7d default",
output_type=OutputType.STRING,
placeholder_type=PlaceholderType.INTERPRETED,
format_hint="z. B. 45 ms",
example_output="45 ms",
minimum_data_requirements="vitals_baseline mit HRV",
quality_filter_policy=None,
confidence_logic="data['confidence'] im Layer1",
missing_value_policy=MVP("no_data", "nicht verfügbar"),
known_limitations="Geräte-/Messprotokoll kann streuen",
layer_1_decision="health_metrics.get_heart_rate_variability_data",
layer_2a_decision="get_vitals_avg_hrv",
layer_2b_reuse_possible=True,
architecture_alignment="Phase 0c",
issue_53_alignment="Layer 1",
evidence={},
)
_tag(m)
register_placeholder(m)
m = PlaceholderMetadata(
key="vitals_vo2_max",
category=CAT,
description="Aktueller VO2 Max (letzte Messung), formatiert",
resolver_module="backend/placeholder_resolver.py",
resolver_function="get_vitals_vo2_max",
data_layer_module="backend/data_layer/health_metrics.py",
data_layer_function="get_vo2_max_data",
source_tables=["vitals_baseline"],
semantic_contract="Jüngster vo2_max aus vitals_baseline.",
business_meaning="Ausdauer-/Fitness-Kontext",
unit="ml/kg/min",
time_window="latest",
output_type=OutputType.STRING,
placeholder_type=PlaceholderType.INTERPRETED,
format_hint="eine Dezimalstelle + Einheit",
example_output="42.0 ml/kg/min",
minimum_data_requirements="mindestens eine VO2-Messung",
quality_filter_policy=None,
confidence_logic="data['confidence'] im Layer1",
missing_value_policy=MVP("no_data", "nicht verfügbar"),
known_limitations="Schätzung vs. Labortest je nach Quelle",
layer_1_decision="health_metrics.get_vo2_max_data",
layer_2a_decision="get_vitals_vo2_max",
layer_2b_reuse_possible=True,
architecture_alignment="Phase 0c",
issue_53_alignment="Layer 1",
evidence={},
)
_tag(m)
register_placeholder(m)
for key, dl_fn, desc, unit, res_fn in [
(
"hrv_vs_baseline_pct",
"calculate_hrv_vs_baseline_pct",
"HRV vs. persönlicher Baseline (%)",
"%",
"_safe_float",
),
(
"rhr_vs_baseline_pct",
"calculate_rhr_vs_baseline_pct",
"Ruhepuls vs. persönlicher Baseline (%)",
"%",
"_safe_float",
),
]:
m = PlaceholderMetadata(
key=key,
category=CAT,
description=desc,
resolver_module="backend/placeholder_resolver.py",
resolver_function=res_fn,
data_layer_module="backend/data_layer/recovery_metrics.py",
data_layer_function=dl_fn,
source_tables=["vitals_baseline"],
semantic_contract=f"Vergleich aktueller Wert zu Baseline (siehe {dl_fn}).",
business_meaning="Erholungs- und Belastungsindikator relativ zur Norm des Nutzers",
unit=unit,
time_window="funktionsintern",
output_type=OutputType.NUMERIC,
placeholder_type=PlaceholderType.INTERPRETED,
format_hint="numerischer Prozent-String",
example_output="5.2",
minimum_data_requirements="Ausreichend Baseline-Historie",
quality_filter_policy=None,
confidence_logic="Funktionsintern",
missing_value_policy=MVP("insufficient_data", "nicht verfügbar"),
known_limitations="Baseline braucht ausreichend Vorlauf",
layer_1_decision=f"recovery_metrics.{dl_fn}",
layer_2a_decision=f"Resolver {res_fn}",
layer_2b_reuse_possible=True,
architecture_alignment="Phase 0c",
issue_53_alignment="Layer 1",
evidence={},
)
_tag(m)
register_placeholder(m)
register_vitalwerte()