Lars e799edbae4 feat: expert mode + stage outputs in value table (Issue #47) ... FEATURE: Experten-Modus 🔬 - Toggle-Button in Wertetabelle - Normal: Nur gefüllte Werte anzeigen - Experten: Alle Platzhalter inkl. leere/technische - Anzeige: "(+X ausgeblendet)" wenn Werte gefiltert - Button-Style: Accent wenn aktiv FILTER: Leere Werte ausblenden (Normal-Modus) - Filtert: '', 'nicht verfügbar', '[Nicht verfügbar]' - Zeigt nur relevante Nutzer-Daten - Experten-Modus zeigt alles FEATURE: Stage-Outputs in Wertetabelle ✅ ROOT CAUSE: stage_N_key Platzhalter hatten keine Werte - Stage-Outputs (z.B. stage_1_body) sind Basis-Analysen-Ergebnisse - Wurden nicht in cleaned_values gefunden (nur statische Platzhalter) FIX: - Collect stage outputs aus result.debug.stages[].output - Store als stage_N_key dict - Lookup: erst stage_outputs, dann cleaned_values - Description: "Output aus Stage X (Basis-Analyse)" - JSON-Werte automatisch serialisiert BEISPIEL Pipeline-Wertetabelle: ┌──────────────────────────────────────────────┐ │ 📊 Verwendete Werte (8) (+3 ausgeblendet) 🔬│ │ ┌──────────────────────────────────────────┐ │ │ │ weight_aktuell │ 85.2 kg │ Gewicht │ │ │ │ stage_1_body │ {"bmi":...│ Output...│ │ ← Stage output! │ │ stage_1_nutr... │ {"kcal"...│ Output...│ │ │ └──────────────────────────────────────────┘ │ └──────────────────────────────────────────────┘ AKTIVIERUNG Experten-Modus: 1. Analyse öffnen 2. "📊 Verwendete Werte" aufklappen 3. Button "🔬 Experten-Modus" klicken 4. Zeigt alle Platzhalter (auch leere stage outputs) version: 9.8.0 (feature) module: prompts 2.3.0, insights 1.6.0		2026-03-26 12:44:28 +01:00
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migrations	feat: value table + {{placeholder|d}} modifier (Issue #47)	2026-03-26 11:52:26 +01:00
routers	feat: expert mode + stage outputs in value table (Issue #47)	2026-03-26 12:44:28 +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