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Author	SHA1	Message	Date
Lars	6e651b5bb5	fix: include stage outputs in debug info for value table ... - stage_debug now includes 'output' dict with all stage outputs - Fixes empty values for stage_X_outputkey in expert mode - Stage outputs are the actual AI responses passed to next stage	2026-03-26 14:33:00 +01:00
Lars	f37936c84d	feat: show all stage outputs as collapsible JSON in expert mode ... Backend: - Add ALL stage outputs to metadata (not just referenced ones) - Format JSON with indent for readability - Description: 'Zwischenergebnis aus Stage X' Frontend: - Stage raw values shown in collapsible <details> element - JSON formatted in <pre> tag with syntax highlighting - 'JSON anzeigen ▼' summary for better UX Fixes: Stage X - Rohdaten now shows intermediate results	2026-03-26 13:17:58 +01:00
Lars	159fcab17a	feat: circ_summary with best-of-each strategy and age annotations ... - Each circumference point shows most recent value (even from different dates) - Age annotations: heute, gestern, vor X Tagen/Wochen/Monaten - Gives AI better context about measurement freshness - Example: 'Brust 105cm (heute), Nacken 38cm (vor 2 Wochen)'	2026-03-26 13:09:38 +01:00
Lars	d06d3d84de	fix: circ_summary now checks all 8 circumference points ... - Previously only checked c_chest, c_waist, c_hip - Now includes c_neck, c_belly, c_thigh, c_calf, c_arm - Fixes 'keine Daten' when entries exist with only non-primary measurements	2026-03-26 13:06:37 +01:00
Lars	b0f80e0be7	docs: document Issue #47 completion in CLAUDE.md ... - Added comprehensive documentation for Value Table feature - Expert mode, category grouping, stage output extraction - Updated version header to reflect #28 and #47 completion	2026-03-26 13:03:49 +01:00
Lars	adb5dcea88	feat: category grouping in value table (Issue #47) ... FEATURE: Gruppierung nach Kategorien - Wertetabelle jetzt nach Modulen/Kategorien gruppiert - Bessere Übersicht und Zuordnung der Werte BACKEND: Category Metadata - Für normale Platzhalter: Kategorie aus Catalog (Profil, Körper, Ernährung, etc.) - Für extrahierte Werte: "Stage X - [Output Name]" - Für Rohdaten: "Stage X - Rohdaten" - Fallback: "Sonstiges" FRONTEND: Grouped Display - sortedCategories: Sortierung (Normal → Stage Outputs → Rohdaten) - Section Headers: Grauer Hintergrund mit Kategorie-Name - React.Fragment für Gruppierung SORTIERUNG: 1. Normale Kategorien (Profil, Körper, Ernährung, Training, etc.) 2. Stage Outputs (Stage 1 - Body, Stage 1 - Nutrition, etc.) 3. Rohdaten (Stage 1 - Rohdaten, Stage 2 - Rohdaten) 4. Innerhalb: Alphabetisch BEISPIEL: ┌────────────────────────────────────────────┐ │ PROFIL │ ├────────────────────────────────────────────┤ │ name │ Lars │ Name des Nutzers │ │ age │ 55 │ Alter in Jahren │ ├────────────────────────────────────────────┤ │ KÖRPER │ ├────────────────────────────────────────────┤ │ weight_... │ 85.2 kg │ Aktuelles Gewicht │ │ bmi │ 26.6 │ Body Mass Index │ ├────────────────────────────────────────────┤ │ ERNÄHRUNG │ ├────────────────────────────────────────────┤ │ kcal_avg │ 1427... │ Durchschn. Kalorien│ │ protein... │ 106g... │ Durchschn. Protein │ ├────────────────────────────────────────────┤ │ STAGE 1 - BODY │ ├────────────────────────────────────────────┤ │ ↳ bmi │ 26.6 │ Aus Stage 1 (body) │ │ ↳ trend │ sinkend │ Aus Stage 1 (body) │ ├────────────────────────────────────────────┤ │ STAGE 1 - NUTRITION │ ├────────────────────────────────────────────┤ │ ↳ kcal_... │ 1427 │ Aus Stage 1 (nutr.)│ └────────────────────────────────────────────┘ Experten-Modus zusätzlich: ├────────────────────────────────────────────┤ │ STAGE 1 - ROHDATEN │ ├────────────────────────────────────────────┤ │ 🔬 stage...│ {"bmi"..│ Rohdaten Stage 1 │ └────────────────────────────────────────────┘ version: 9.10.0 (feature) module: prompts 2.5.0, insights 1.8.0	2026-03-26 12:59:52 +01:00
Lars	da803da816	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
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
Lars	15bd6cddeb	feat: untruncated values + smart base prompt display (Issue #47) ... FEATURE: Volle Werte (nicht abgeschnitten) - Backend holt ungekürzten Werte direkt von placeholder_resolver - get_placeholder_example_values() statt debug.resolved_placeholders - Debug bleibt gekürzt (100 chars), Metadata ungekürzt FEATURE: Smart Display für Basis-Prompts - Basis-Prompts mit JSON-Output: Nur Wertetabelle anzeigen - JSON-Output in Collapsible "Technische Daten" verschoben - Wertetabelle auto-expanded bei Basis-Prompts - Pipeline + Text-Prompts: Wie bisher (Content + Wertetabelle) UI: Bessere Wertetabelle - Werte: word-break + max-width (400px) → kein Overflow - Alle Spalten: verticalAlign top für bessere Lesbarkeit - Platzhalter: nowrap (keine Umbrüche) BEISPIEL: ┌─────────────────────────────────────────┐ │ ℹ️ Basis-Prompt Rohdaten │ │ [Technische Daten anzeigen ▼] │ │ │ │ 📊 Verwendete Werte (8) ▼ ← expanded │ │ ┌──────────────────────────────────────┐│ │ │ Platzhalter │ Vollständiger Wert... ││ │ │ kcal_avg │ 1427 kcal/Tag (Ø 30...││ ← ungekürzt │ └──────────────────────────────────────┘│ └─────────────────────────────────────────┘ version: 9.7.0 (feature) module: prompts 2.2.0, insights 1.5.0	2026-03-26 12:37:52 +01:00
Lars	19414614bf	fix: add metadata to newResult for immediate value table display ... BUG: Wertetabelle wurde nicht angezeigt bei neuer Analyse ROOT CAUSE: newResult hatte nur {scope, content}, kein metadata FIX: Build metadata from result.debug.resolved_placeholders - Für Base: direkt aus resolved_placeholders - Für Pipeline: collect aus allen stages - Metadata structure: {prompt_type, placeholders: {key: {value, description}}} NOTE: Immediate preview hat keine descriptions (nur values) Saved insights (nach loadAll) haben full metadata with descriptions aus DB version: 9.6.2 (bugfix)	2026-03-26 12:29:05 +01:00
Lars	4a2bebe249	fix: value table metadata + |d modifier + cursor insertion (Issues #47, #48) ... BUG: Wertetabelle wurde nicht angezeigt FIX: enable_debug=true wenn save=true (für metadata collection) - metadata wird nur gespeichert wenn debug aktiv - jetzt: debug or save → metadata immer verfügbar BUG: {{placeholder|d}} Modifier funktionierte nicht ROOT CAUSE: catalog wurde bei Exception nicht zu variables hinzugefügt FIX: - variables['_catalog'] = catalog (auch wenn None) - Warning-Log wenn catalog nicht geladen werden kann - Debug warning wenn |d ohne catalog verwendet BUG: Platzhalter in Pipeline-Stages am Ende statt an Cursor FIX: - stageTemplateRefs Map für alle Stage-Textareas - onClick + onKeyUp tracking für Cursor-Position - Insert at cursor: template.slice(0, pos) + placeholder + template.slice(pos) - Focus + Cursor restore nach Insert TECHNICAL: - prompt_executor.py: Besseres Exception Handling für catalog - UnifiedPromptModal.jsx: Refs für alle Template-Felder - prompts.py: enable_debug=debug or save version: 9.6.1 (bugfix) module: prompts 2.1.1	2026-03-26 12:04:20 +01:00
Lars	c0a50dedcd	feat: value table + {{placeholder|d}} modifier (Issue #47) ... FEATURE #47: Wertetabelle nach KI-Analysen - Migration 021: metadata JSONB column in ai_insights - Backend sammelt resolved placeholders mit descriptions beim Speichern - Frontend: Collapsible value table in InsightCard - Zeigt: Platzhalter | Wert | Beschreibung - Sortiert tabellarisch - Funktioniert für base + pipeline prompts FEATURE #48: {{placeholder|d}} Modifier - Syntax: {{weight_aktuell|d}} → "85.2 kg (Aktuelles Gewicht in kg)" - resolve_placeholders() erkennt |d modifier - Hängt description aus catalog an Wert - Fein-granulare Kontrolle pro Platzhalter (nicht global) - Optional: nur wo sinnvoll einsetzen TECHNICAL: - prompt_executor.py: catalog parameter durchgereicht - execute_prompt_with_data() lädt catalog via get_placeholder_catalog() - Catalog als _catalog in variables übergeben, in execute_prompt() extrahiert - Base + Pipeline Prompts unterstützen |d modifier EXAMPLE: Template: "Gewicht: {{weight_aktuell|d}}, Alter: {{age}}" Output: "Gewicht: 85.2 kg (Aktuelles Gewicht in kg), Alter: 55" version: 9.6.0 (feature) module: prompts 2.1.0, insights 1.4.0	2026-03-26 11:52:26 +01:00
Lars	c56d2b2201	fix: delete insights + placeholder cursor insertion (Issue #44) ... BUG #44: Analysen löschen schlug fehl (kein Auth-Token) FIX: - api.deleteInsight() in api.js hinzugefügt - Analysis.jsx nutzt jetzt api.js mit Error-Handling - Nicht mehr raw fetch() ohne Token BUG: Platzhalter wurden am Ende eingefügt statt an Cursor-Position FIX: - useRef für baseTemplateRef hinzugefügt - Cursor-Position tracking (onClick + onKeyUp) - Insert at cursor: template.slice(0, pos) + placeholder + template.slice(pos) - Focus + Cursor-Position nach Insert wiederhergestellt version: 9.5.2 (bugfix) module: prompts 2.0.2, insights 1.3.1	2026-03-26 11:40:19 +01:00
Lars	7daa2e40c7	fix: sleep quality calculation using wrong key (stage vs phase) ... BUG: sleep_avg_quality showed 0% despite valid sleep data ROOT CAUSE: sleep_segments use 'phase' key, not 'stage' FIX: Changed s.get('stage') to s.get('phase') in get_sleep_avg_quality() version: 9.5.1 (bugfix) module: prompts 2.0.1	2026-03-26 10:31:39 +01:00
Lars	ae6bd0d865	docs: Issue #28 completion documentation (v9e) ... - Marked Issue #28 as complete - Documented all 4 original phases - Documented debug tools added 26.03.2026 - Documented placeholder enhancements (6 new functions, 7 reconstructed) - Documented bug fixes (PIPELINE_MASTER, SQL columns, type errors) - Listed related Gitea issues (#43, #44, #45, #46) - Updated version status to v9e Ready for Production version: 9.5.0 (documentation update)	2026-03-26 10:28:42 +01:00
Lars	a43a9f129f	fix: sleep_avg_quality uses lowercase stage names ... Problem: Schlafphasen werden lowercase gespeichert (deep, rem, light, awake), aber get_sleep_avg_quality() prüfte Titlecase (Deep, REM) → 0% Match Fix: Ändere Prüfung zu lowercase: ['deep', 'rem'] Jetzt wird {{sleep_avg_quality}} korrekt berechnet aus JSONB segments. Quelle: backend/routers/sleep.py → phase_map speichert lowercase Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 10:22:55 +01:00
Lars	3ad1a19dce	fix: calculate_age now handles PostgreSQL date objects ... Problem: dob Spalte ist DATE (PostgreSQL) → Python bekommt datetime.date, nicht String → strptime() schlägt fehl → age = "unbekannt" Fix: Prüfe isinstance(dob, str) und handle beide Typen: - String → strptime() - date object → direkt verwenden Jetzt funktioniert {{age}} Platzhalter korrekt. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 10:19:36 +01:00
Lars	a9114bc40a	feat: implement missing placeholder functions (sleep, vitals, rest) ... Implementiert 6 fehlende Platzhalter-Funktionen die im Katalog waren aber keine Berechnung hatten. Neue Funktionen: - get_sleep_avg_duration(7d) → "7.5h" - get_sleep_avg_quality(7d) → "65% (Deep+REM)" - get_rest_days_count(30d) → "5 Ruhetage" - get_vitals_avg_hr(7d) → "58 bpm" - get_vitals_avg_hrv(7d) → "45 ms" - get_vitals_vo2_max() → "42.5 ml/kg/min" Datenquellen: - sleep_log (JSONB segments mit Deep/REM/Light/Awake) - rest_days (Kraft/Cardio/Entspannung) - vitals_baseline (resting_hr, hrv, vo2_max) Jetzt in PLACEHOLDER_MAP registriert → sofort nutzbar. Fixes: Platzhalter-Export zeigt jetzt alle Werte (statt "nicht verfügbar") Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 10:14:17 +01:00
Lars	555ff62b56	feat: global placeholder export with values (Settings page) ... Zentraler Export aller verfügbaren Platzhalter mit aktuellen Werten. Backend: - GET /api/prompts/placeholders/export-values - Returns all placeholders organized by category - Includes resolved values for current profile - Includes metadata (description, example) - Flat list + categorized structure Frontend SettingsPage: - Button "📊 Platzhalter exportieren" - Downloads: placeholders-{profile}-{date}.json - Shows all 38+ placeholders with current values - Useful for: - Understanding available data - Debugging prompt templates - Verifying placeholder resolution Frontend api.js: - exportPlaceholderValues() Export Format: { "export_date": "2026-03-26T...", "profile_id": "...", "count": 38, "all_placeholders": { "name": "Lars", ... }, "placeholders_by_category": { "Profil": [...], "Körper": [...], ... } } Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 10:05:11 +01:00
Lars	7f94a41965	feat: batch import/export for prompts (Issue #28 Debug B) ... Dev→Prod Sync in 2 Klicks: Export → Import Backend: - GET /api/prompts/export-all → JSON mit allen Prompts - POST /api/prompts/import?overwrite=true/false → Import + Create/Update - Returns: created, updated, skipped counts - Validates JSON structure - Handles stages JSON conversion Frontend AdminPromptsPage: - Button "📦 Alle exportieren" → downloads all-prompts-{date}.json - Button "📥 Importieren" → file upload dialog - User-Prompt: Überschreiben? Ja/Nein - Success-Message mit Statistik (created/updated/skipped) Frontend api.js: - exportAllPrompts() - importPrompts(data, overwrite) Use Cases: 1. Backup: Prompts als JSON sichern 2. Dev→Prod: Auf dev.mitai entwickeln → exportieren → auf mitai.jinkendo importieren 3. Versionierung: Prompts in Git speichern Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 09:44:08 +01:00
Lars	8b287ca6c9	feat: export all placeholders from debug viewer (Issue #28 Debug A) ... Added "📋 Platzhalter exportieren" button in debug viewer: - Exports all resolved placeholders with values - Includes all available_variables - For pipelines: exports per-stage placeholder data - JSON format with timestamp and prompt metadata - Filename: placeholders-{slug}-{date}.json Use case: Development aid - see exactly what data is available for prompt templates without null values. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 09:40:26 +01:00
Lars	97e57481f9	fix: Analysis page now uses unified prompt executor (Issue #28) ... BREAKING: Analysis page switched from old /insights/run to new /prompts/execute Changes: - Backend: Added save=true parameter to /prompts/execute - When enabled, saves final output to ai_insights table - Extracts content from pipeline output (last stage) - Frontend api.js: Added save parameter to executeUnifiedPrompt() - Frontend Analysis.jsx: Switched from api.runInsight() to api.executeUnifiedPrompt() - Transforms new result format to match InsightCard expectations - Pipeline outputs properly extracted and displayed Fixes: PIPELINE_MASTER responses (old template being sent to AI) The old /insights/run endpoint used raw template field, which for the legacy "pipeline" prompt was literally "PIPELINE_MASTER". The new executor properly handles stages and data processing. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 09:38:58 +01:00
Lars	811ba8b3dc	fix: convert Decimal to float before multiplication in protein targets ... - get_protein_ziel_low: float(weight) * 1.6 - get_protein_ziel_high: float(weight) * 2.2 Fixes TypeError: unsupported operand type(s) for *: 'decimal.Decimal' and 'float' Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 09:23:50 +01:00
Lars	b90c738fbb	fix: make test button always visible in prompt editor ... - Removed conditional hiding of test button (prompt?.slug) - Button now always visible with helpful tooltip - handleTest already has save-check logic Improves discoverability of test functionality. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 09:16:59 +01:00
Lars	dfaf24d74c	fix: correct SQL column names in placeholder_resolver ... - caliper_summary: use body_fat_pct (not bf_jpl) - circ_summary: use c_chest, c_waist, c_hip (not brust, taille, huefte) - get_latest_bf: use body_fat_pct for consistency Fixes SQL errors when running base prompts that feed pipeline prompts. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 09:10:55 +01:00
Lars	0f2b85c6de	fix: reconstruct missing placeholders + fix SQL column names ... Added missing placeholders: - caliper_summary, circ_summary (body measurements) - goal_weight, goal_bf_pct (goals from profile) - nutrition_days (count of nutrition entries) - protein_ziel_low/high (calculated from weight) Fixed SQL errors: - protein → protein_g - fat → fat_g - carb → carbs_g Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 09:03:35 +01:00
Lars	f4d1fd4de1	feat: add activity_detail placeholder for detailed activity logs ... - New placeholder: {{activity_detail}} returns formatted activity log - Shows last 20 activities with date, type, duration, kcal, HR - Makes activity analysis prompts work properly Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 08:20:18 +01:00
Lars	ba92d66880	fix: remove {{ }} from placeholder keys before resolution ... Placeholder resolver returns keys with {{ }} wrappers, but resolve_placeholders expects clean keys. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 08:17:22 +01:00
Lars	afc70b5a95	fix: integrate placeholder resolver + JSON unwrapping (Issue #28) ... - Backend: integrate get_placeholder_example_values in execute_prompt_with_data - Backend: now provides BOTH raw data AND processed placeholders - Backend: unwrap Markdown-wrapped JSON (```json ... ```) - Fixes old-style prompts that expect name, weight_trend, caliper_summary Resolves unresolved placeholders issue. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 08:14:41 +01:00
Lars	84dad07e15	fix: show debug info on errors + prompt export function ... - Frontend: debug viewer now shows even when test fails - Frontend: export button to download complete prompt config as JSON - Backend: attach debug info to JSON validation errors - Backend: include raw output and length in error details Users can now debug failed prompts and export configs for analysis. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 08:07:34 +01:00
Lars	7f2ba4fbad	feat: debug system for prompt execution (Issue #28) ... - Backend: debug mode in prompt_executor with placeholder tracking - Backend: show resolved/unresolved placeholders, final prompts, AI responses - Frontend: test button in UnifiedPromptModal for saved prompts - Frontend: debug output viewer with JSON preview - Frontend: wider placeholder example fields in PlaceholderPicker Resolves pipeline execution debugging issues. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 08:01:33 +01:00
Lars	4ba03c2a94	feat: Analysis page pipeline-only + wider placeholder examples (Issue #28) ... - PlaceholderPicker: Example values in separate full-width row - Analysis.jsx: Show only pipeline-type prompts - Analysis.jsx: Remove base prompts and Prompts tab - Cleanup: Remove PromptEditor component and unused imports Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-26 07:50:13 +01:00
Lars	8036c99883	feat: dynamic placeholder picker with categories and search (Issue #28) ... Major improvements: 1. PlaceholderPicker component (new) - Loads placeholders dynamically from backend catalog - Grouped by categories: Profil, Körper, Ernährung, Training, etc. - Search/filter functionality - Shows live example values from user data - Popup modal with expand/collapse categories 2. Replaced hardcoded placeholder chips - 'Platzhalter einfügen' button opens picker - Works in both base templates and pipeline inline templates - Auto-closes after selection 3. Uses existing backend system - GET /api/prompts/placeholders - placeholder_resolver.py with PLACEHOLDER_MAP - Dynamic, module-based placeholder system - No manual updates needed when modules add new placeholders Benefits: - Scalable: New modules can add placeholders without frontend changes - User-friendly: Search and categorization - Context-aware: Shows real example values - Future-proof: Backend-driven catalog	2026-03-25 22:08:14 +01:00
Lars	b058b0fd6f	feat: placeholder chips + convert to base prompt (Issue #28) ... New features: 1. Placeholder chips now visible in pipeline inline templates - Click to insert: weight_data, nutrition_data, activity_data, etc. - Same UX as base prompts 2. Convert to Base Prompt button - New icon (ArrowDownToLine) in actions column - Only visible for 1-stage pipeline prompts - Converts pipeline → base by extracting inline template - Validates: must be 1-stage, 1-prompt, inline source This allows migrated prompts to be properly categorized as base prompts for reuse in other pipelines.	2026-03-25 21:59:43 +01:00
Lars	7dda520c9b	fix: UI improvements for unified prompt system (Issue #28) ... Fixes: 1. Template field in stages now full width (was too narrow) 2. Table horizontal scrollbar for mobile (overflow-x: auto) 3. Table min-width 900px to prevent icon clipping 4. Added clickable placeholder chips below base template - Click to insert placeholders into template - Shows: weight_data, nutrition_data, activity_data, sleep_data, etc. UI now mobile-ready and more user-friendly.	2026-03-25 21:52:58 +01:00
Lars	0a3e76128a	fix: simplified JSX string to avoid escaping issues	2026-03-25 21:42:01 +01:00
Lars	5249cd6939	fix: JSX syntax error in UnifiedPromptModal (Issue #28) ... Fixed curly brace escaping in JSX string. Changed from {{'{{'}} to {'{{'}}	2026-03-25 21:40:22 +01:00
Lars	2f3314cd36	feat: Issue #28 complete - unified prompt system (Phase 4) ... Cleanup & Documentation: - Removed deprecated components: PipelineConfigModal, PromptEditModal - Updated CLAUDE.md with Issue #28 summary - Kept old backend endpoints for backward-compatibility Summary of all 4 phases: ✅ Phase 1: DB Migration (unified schema) ✅ Phase 2: Backend Executor (universal execution engine) ✅ Phase 3: Frontend UI (consolidated interface) ✅ Phase 4: Cleanup & Docs Key improvements: - Unlimited dynamic stages (no hardcoded limit) - Multiple prompts per stage (parallel execution) - Base prompts (reusable) + Pipeline prompts (workflows) - Inline templates or references - JSON output enforceable - Cross-module correlations possible Ready for testing on dev.mitai.jinkendo.de	2026-03-25 15:33:47 +01:00
Lars	31e2c24a8a	feat: unified prompt UI - Phase 3 complete (Issue #28) ... Frontend Consolidation: - UnifiedPromptModal: Single editor for base + pipeline prompts - Type selector (base/pipeline) - Base: Template editor with placeholders - Pipeline: Dynamic stage editor - Add/remove stages with drag/drop - Inline or reference prompts per stage - Output key + format per prompt - AdminPromptsPage redesign: - Removed tab switcher (prompts/pipelines) - Added type filter (All/Base/Pipeline) - Type badge in table - Stage count column - Icon-based actions (Edit/Copy/Delete) - Category filter retained Changes: - Completely rewrote AdminPromptsPage (495 → 446 lines) - Single modal for all prompt types - Mobile-ready layout - Simplified state management Next: Phase 4 - Cleanup deprecated endpoints + docs	2026-03-25 14:55:25 +01:00
Lars	7be7266477	feat: unified prompt executor - Phase 2 complete (Issue #28) ... Backend: - prompt_executor.py: Universal executor for base + pipeline prompts - Dynamic placeholder resolution - JSON output validation - Multi-stage parallel execution (sequential impl) - Reference and inline prompt support - Data loading per module (körper, ernährung, training, schlaf, vitalwerte) Endpoints: - POST /api/prompts/execute - Execute unified prompts - POST /api/prompts/unified - Create unified prompts - PUT /api/prompts/unified/{id} - Update unified prompts Frontend: - api.js: executeUnifiedPrompt, createUnifiedPrompt, updateUnifiedPrompt Next: Phase 3 - Frontend UI consolidation	2026-03-25 14:52:24 +01:00
Lars	33653fdfd4	fix: migration 020 - make template column nullable ... Issue: template has NOT NULL constraint but pipeline-type prompts don't use template (they use stages JSONB instead). Solution: ALTER COLUMN template DROP NOT NULL before inserting pipeline configs into ai_prompts.	2026-03-25 14:45:53 +01:00
Lars	95dcf080e5	fix: migration 020 SQL syntax - correlated subquery issue ... Fixed Step 3 pipeline_configs migration: - Simplified JSONB aggregation logic - Properly scope pc alias in subqueries - Use UNNEST with FROM clause for array expansion Previous version had correlation issues with nested subqueries.	2026-03-25 12:58:02 +01:00
Lars	2e0838ca08	feat: unified prompt system migration schema (Issue #28 Phase 1) ... - Migration 020: Add type, stages, output_format columns to ai_prompts - Migrate existing prompts to 1-stage pipeline format - Migrate pipeline_configs into ai_prompts as multi-stage pipelines - Add UnifiedPrompt Pydantic models for new API - Backup pipeline_configs table (keep during transition) Schema structure: - type: 'base' (reusable) or 'pipeline' (multi-stage) - stages: JSONB array [{stage:1, prompts:[{source, slug, template, output_key, output_format}]}] - output_format: 'text' or 'json' - output_schema: JSON validation schema (optional) Next: Backend executor + Frontend UI consolidation	2026-03-25 10:43:10 +01:00
Lars	1b7fdb1739	chore: rollback point before unified prompt system refactoring (Issue #28) ... Current state: - Pipeline configs working (migration 019) - PipelineConfigModal complete - AdminPromptsPage with tabs - All Phase 1+2 features deployed and tested Next: Consolidate into unified prompt system - Single ai_prompts table for all types - Dynamic stages (unlimited) - Basis prompts + pipeline prompts	2026-03-25 10:42:18 +01:00
Lars	b23e361791	feat: Pipeline-System Frontend - Admin UI (Issue #28, Phase 2 Part 1) ... Implementiert Admin-UI für Pipeline-Konfigurationen: - Pipeline-Config Dialog mit Module-Auswahl - Stage-Konfiguration (Stage 1/2/3 Prompts) - Admin-UI: Zwei Tabs (Prompts + Pipeline-Configs) - CRUD-Operationen für Pipeline-Configs - API-Integration: Pipeline-Config Endpoints **Frontend:** - components/PipelineConfigModal.jsx (neu): Dialog für Pipeline-Konfiguration - Module-Auswahl mit Zeiträumen (7 Module) - Stage 1: Multi-Select für parallele Prompts - Stage 2: Synthese-Prompt Auswahl - Stage 3: Optional (Goals) - Validierung (mind. 1 Modul, mind. 1 Stage-1-Prompt, Stage-2 erforderlich) - pages/AdminPromptsPage.jsx (erweitert): Tab-Navigation - Tab 1: Prompts (bestehend) - Tab 2: Pipeline-Konfigurationen (neu) - Liste aller Configs mit Status (Aktiv, Standard) - Aktionen: Bearbeiten, Löschen, Als Standard setzen - Icons: Star, Edit, Trash2 - utils/api.js (erweitert): - listPipelineConfigs, createPipelineConfig, updatePipelineConfig - deletePipelineConfig, setDefaultPipelineConfig - executePipeline, resetPromptToDefault **Nächste Schritte:** - Pipeline-Auswahl in AnalysisPage (User-Seite) - Mobile-Responsive Design Issue #28 Progress: Frontend 2/3 (67%) | Design 0/3 | Testing 0/1 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-25 10:01:49 +01:00
Lars	053a9e18cf	fix: use postgres container for psql commands	2026-03-25 09:54:44 +01:00
Lars	6f7303c0d5	fix: correct container name and DB credentials for dev environment	2026-03-25 09:52:26 +01:00
Lars	7f7edce62d	chore: add pipeline system test scripts (Issue #28)	2026-03-25 09:47:58 +01:00
Lars	6627b5eee7	feat: Pipeline-System - Backend Infrastructure (Issue #28, Phase 1) ... Implementiert konfigurierbare mehrstufige Analysen. Admins können mehrere Pipeline-Konfigurationen erstellen mit unterschiedlichen Modulen, Zeiträumen und Prompts. **Backend:** - Migration 019: pipeline_configs Tabelle + ai_prompts erweitert - Pipeline-Config Models: PipelineConfigCreate, PipelineConfigUpdate - Pipeline-Executor: refactored für config-basierte Ausführung - CRUD-Endpoints: /api/prompts/pipeline-configs (list, create, update, delete, set-default) - Reset-to-Default: /api/prompts/{id}/reset-to-default für System-Prompts **Features:** - 3 Seed-Configs: "Alltags-Check" (default), "Schlaf & Erholung", "Wettkampf-Analyse" - Dynamische Platzhalter: {{stage1_<slug>}} für alle Stage-1-Ergebnisse - Backward-compatible: /api/insights/pipeline ohne config_id nutzt default **Dateien:** - backend/migrations/019_pipeline_system.sql - backend/models.py (PipelineConfigCreate, PipelineConfigUpdate) - backend/routers/insights.py (analyze_pipeline refactored) - backend/routers/prompts.py (Pipeline-Config CRUD + Reset-to-Default) **Nächste Schritte:** - Frontend: Pipeline-Config Dialog + Admin-UI - Design: Mobile-Responsive + Icons Issue #28 Progress: Backend 3/3 ✅ | Frontend 0/3 🔲 | Design 0/3 🔲 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-25 09:42:28 +01:00
Lars	5e7ef718e0	fix: placeholder picker improvements + insight display names (Issue #28) ... Backend: - get_placeholder_catalog(): grouped placeholders with descriptions - Returns {category: [{key, description, example}]} format - Categories: Profil, Körper, Ernährung, Training, Schlaf, Vitalwerte, Zeitraum Frontend - Placeholder Picker: - Grouped by category with visual separation - Search/filter across keys and descriptions - Hover effects for better UX - Insert at cursor position (not at end) - Shows: key + description + example value - 'Keine Platzhalter gefunden' message when filtered Frontend - Insight Display Names: - InsightCard receives prompts array - Finds matching prompt by scope/slug - Shows prompt.display_name instead of hardcoded SLUG_LABELS - History tab also shows display_name in group headers - Fallback chain: display_name → SLUG_LABELS → scope User-facing improvements: ✓ Platzhalter zeigen echte Daten statt Zahlen ✓ Durchsuchbar + filterbar ✓ Einfügen an Cursor-Position ✓ Insights zeigen custom Namen (z.B. '🍽️ Meine Ernährung') Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>	2026-03-25 06:44:22 +01:00