mitai-jinkendo/backend
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feat: extract individual values from stage outputs (Issue #47)
FEATURE: Basis-Analysen Einzelwerte
Vorher: stage_1_body → {"bmi": 26.6, "weight": "85.2kg"} (1 Zeile)
Jetzt:  bmi → 26.6 (eigene Zeile)
        weight → 85.2kg (eigene Zeile)

BACKEND: JSON-Extraktion
- Stage outputs (JSON) → extract individual fields
- extracted_values dict sammelt alle Einzelwerte
- Deduplizierung: Gleiche Keys nur einmal
- Flags:
  - is_extracted: true → Wert aus Stage-Output extrahiert
  - is_stage_raw: true → Rohdaten (JSON) nur Experten-Modus

BEISPIEL Stage 1 Output:
{
  "stage_1_body": {
    "bmi": 26.6,
    "weight": "85.2 kg",
    "trend": "sinkend"
  }
}

→ Metadata:
{
  "bmi": {
    value: "26.6",
    description: "Aus Stage 1 (stage_1_body)",
    is_extracted: true
  },
  "weight": {
    value: "85.2 kg",
    description: "Aus Stage 1 (stage_1_body)",
    is_extracted: true
  },
  "stage_1_body": {
    value: "{\"bmi\": 26.6, ...}",
    description: "Rohdaten Stage 1 (Basis-Analyse JSON)",
    is_stage_raw: true
  }
}

FRONTEND: Smart Filtering
Normal-Modus:
- Zeigt: Einzelwerte (bmi, weight, trend)
- Versteckt: Rohdaten (stage_1_body JSON)
- Filter: is_stage_raw === false

Experten-Modus:
- Zeigt: Alles (Einzelwerte + Rohdaten)
- Rohdaten: Grauer Hintergrund + 🔬 Icon

VISUAL Indicators:
↳ bmi        → Extrahierter Wert (grün)
  weight     → Normaler Platzhalter (accent)
🔬 stage_1_* → Rohdaten JSON (grau, klein, nur Experten)

ERGEBNIS:
┌──────────────────────────────────────────┐
│ 📊 Verwendete Werte (8) (+2 ausgeblendet)│
│ ┌────────────────────────────────────────┐│
│ │ weight_aktuell │ 85.2 kg   │ Gewicht ││ ← Normal
│ │ ↳ bmi          │ 26.6      │ Aus St..││ ← Extrahiert
│ │ ↳ trend        │ sinkend   │ Aus St..││ ← Extrahiert
│ └────────────────────────────────────────┘│
└──────────────────────────────────────────┘

Experten-Modus zusätzlich:
│ 🔬 stage_1_body │ {"bmi":...│ Rohdaten││ ← JSON

version: 9.9.0 (feature)
module: prompts 2.4.0, insights 1.7.0
2026-03-26 12:55:53 +01:00
..
migrations feat: value table + {{placeholder|d}} modifier (Issue #47) 2026-03-26 11:52:26 +01:00
routers feat: extract individual values from stage outputs (Issue #47) 2026-03-26 12:55:53 +01:00
apply_v9c_migration.py feat: v9c Phase 1 - Feature consolidation & cleanup migration 2026-03-20 18:57:39 +01:00
auth.py fix: correct indentation in auth.py _check_impl function 2026-03-21 07:06:53 +01:00
check_features.py fix: pipeline typo and add features diagnostic script 2026-03-20 22:32:09 +01:00
db_init.py fix: only process numbered migrations (XXX_*.sql pattern) 2026-03-21 10:08:56 +01:00
db.py refactor: move init_db() to db.py 2026-03-19 09:49:46 +01:00
Dockerfile fix: replace psql with Python for DB checks (no apt-get needed!) 2026-03-18 10:01:19 +01:00
evaluation_helper.py fix: convert Decimal to float for JSON serialization in evaluation 2026-03-23 13:28:07 +01:00
feature_logger.py feat: add structured JSON logging for all feature usage (Phase 2) 2026-03-20 22:18:12 +01:00
main_old.py refactor: modular backend architecture with 14 router modules 2026-03-19 11:15:35 +01:00
main.py refactor: vitals architecture - separate baseline vs blood pressure 2026-03-23 16:02:40 +01:00
migrate_to_postgres.py fix: Migration-Fehler - meas_id Spalte in ai_insights 2026-03-19 08:39:36 +01:00
models.py feat: unified prompt system migration schema (Issue #28 Phase 1) 2026-03-25 10:43:10 +01:00
placeholder_resolver.py fix: sleep quality calculation using wrong key (stage vs phase) 2026-03-26 10:31:39 +01:00
profile_evaluator.py feat: Training Type Profiles - Phase 1.1 Foundation (#15) 2026-03-23 10:49:26 +01:00
profile_templates.py feat: Training Type Profiles Phase 2.1 - Backend Profile Management (#15) 2026-03-23 11:50:40 +01:00
prompt_executor.py fix: value table metadata + |d modifier + cursor insertion (Issues #47, #48) 2026-03-26 12:04:20 +01:00
quality_filter.py feat: global quality filter setting (Issue #31) 2026-03-23 22:29:49 +01:00
requirements.txt fix: add python-dateutil dependency for vitals CSV import 2026-03-23 15:41:30 +01:00
rule_engine.py feat: Training Type Profiles - Phase 1.1 Foundation (#15) 2026-03-23 10:49:26 +01:00
schema.sql fix: add missing meas_id column to photos table 2026-03-18 12:23:13 +01:00
startup.sh fix: replace psql with Python for DB checks (no apt-get needed!) 2026-03-18 10:01:19 +01:00