feat: Phase 0 - Workflow Engine Foundation
Backend:
- DB-Migration 034: workflow_definitions, workflow_question_catalog, workflow_executions
- ai_prompts.question_augmentations JSONB-Spalte (Hybridmodell: Prompt-Defaults)
- 6 Grundtypen Fragenergänzungen mit Normalisierungsregeln (Seed-Daten)
- Pydantic-Modelle (16 Models, 11 Enums) in workflow_models.py
- Workflow-Engine: Graph-Parsing, Topologische Sortierung, DAG-Validierung
- Dispatcher-Erweiterung type='workflow' (Stub für Phase 1-3)
- Adjacency Lists, Erreichbarkeits-Prüfungen, Zyklen-Erkennung
Testing:
- 22 Unit-Tests (alle bestanden): Graph-Parsing, Validierung, Topologische Sortierung
- Fixtures: simple_valid_graph, parallel_graph, branching_graph
Version:
- APP_VERSION 0.9i
- DB_SCHEMA_VERSION 20260403
- Module: workflow 0.1.0
Anforderungsanalyse: .claude/task/Workflow_engine_prompting_engine/anforderungsanalyse_umsetzungsplan.md
Konzept-Basis: .claude/task/Workflow_engine_prompting_engine/konzept_workflow_engine_konsolidated.md
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-03 16:55:51 +02:00
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"""
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Application Version Information
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Semantic Versioning: MAJOR.MINOR.PATCH
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- MAJOR: Breaking Change, DB-Migration inkompatibel
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- MINOR: Neues Feature, neues Modul
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- PATCH: Bugfix, kleine Änderung, Refactor
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"""
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2026-04-20 14:51:27 +02:00
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APP_VERSION = "0.9t"
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2026-04-20 14:43:31 +02:00
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BUILD_DATE = "2026-04-20"
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2026-04-10 16:11:08 +02:00
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DB_SCHEMA_VERSION = "20260409c" # 048/049 vitals_baseline.source csv + SAVEPOINT Import
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feat: Phase 0 - Workflow Engine Foundation
Backend:
- DB-Migration 034: workflow_definitions, workflow_question_catalog, workflow_executions
- ai_prompts.question_augmentations JSONB-Spalte (Hybridmodell: Prompt-Defaults)
- 6 Grundtypen Fragenergänzungen mit Normalisierungsregeln (Seed-Daten)
- Pydantic-Modelle (16 Models, 11 Enums) in workflow_models.py
- Workflow-Engine: Graph-Parsing, Topologische Sortierung, DAG-Validierung
- Dispatcher-Erweiterung type='workflow' (Stub für Phase 1-3)
- Adjacency Lists, Erreichbarkeits-Prüfungen, Zyklen-Erkennung
Testing:
- 22 Unit-Tests (alle bestanden): Graph-Parsing, Validierung, Topologische Sortierung
- Fixtures: simple_valid_graph, parallel_graph, branching_graph
Version:
- APP_VERSION 0.9i
- DB_SCHEMA_VERSION 20260403
- Module: workflow 0.1.0
Anforderungsanalyse: .claude/task/Workflow_engine_prompting_engine/anforderungsanalyse_umsetzungsplan.md
Konzept-Basis: .claude/task/Workflow_engine_prompting_engine/konzept_workflow_engine_konsolidated.md
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-03 16:55:51 +02:00
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MODULE_VERSIONS = {
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"auth": "1.2.0",
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"profiles": "1.1.0",
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2026-04-07 10:15:13 +02:00
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"reference_values": "1.3.0",
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2026-04-06 19:51:23 +02:00
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"admin_reference_value_types": "1.0.0",
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feat: Phase 0 - Workflow Engine Foundation
Backend:
- DB-Migration 034: workflow_definitions, workflow_question_catalog, workflow_executions
- ai_prompts.question_augmentations JSONB-Spalte (Hybridmodell: Prompt-Defaults)
- 6 Grundtypen Fragenergänzungen mit Normalisierungsregeln (Seed-Daten)
- Pydantic-Modelle (16 Models, 11 Enums) in workflow_models.py
- Workflow-Engine: Graph-Parsing, Topologische Sortierung, DAG-Validierung
- Dispatcher-Erweiterung type='workflow' (Stub für Phase 1-3)
- Adjacency Lists, Erreichbarkeits-Prüfungen, Zyklen-Erkennung
Testing:
- 22 Unit-Tests (alle bestanden): Graph-Parsing, Validierung, Topologische Sortierung
- Fixtures: simple_valid_graph, parallel_graph, branching_graph
Version:
- APP_VERSION 0.9i
- DB_SCHEMA_VERSION 20260403
- Module: workflow 0.1.0
Anforderungsanalyse: .claude/task/Workflow_engine_prompting_engine/anforderungsanalyse_umsetzungsplan.md
Konzept-Basis: .claude/task/Workflow_engine_prompting_engine/konzept_workflow_engine_konsolidated.md
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-03 16:55:51 +02:00
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"weight": "1.0.3",
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"circumference": "1.0.1",
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"caliper": "1.0.1",
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2026-04-07 12:28:59 +02:00
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"activity": "1.2.0", # GET /activity: optional days= window + limit
|
feat: Phase 0 - Workflow Engine Foundation
Backend:
- DB-Migration 034: workflow_definitions, workflow_question_catalog, workflow_executions
- ai_prompts.question_augmentations JSONB-Spalte (Hybridmodell: Prompt-Defaults)
- 6 Grundtypen Fragenergänzungen mit Normalisierungsregeln (Seed-Daten)
- Pydantic-Modelle (16 Models, 11 Enums) in workflow_models.py
- Workflow-Engine: Graph-Parsing, Topologische Sortierung, DAG-Validierung
- Dispatcher-Erweiterung type='workflow' (Stub für Phase 1-3)
- Adjacency Lists, Erreichbarkeits-Prüfungen, Zyklen-Erkennung
Testing:
- 22 Unit-Tests (alle bestanden): Graph-Parsing, Validierung, Topologische Sortierung
- Fixtures: simple_valid_graph, parallel_graph, branching_graph
Version:
- APP_VERSION 0.9i
- DB_SCHEMA_VERSION 20260403
- Module: workflow 0.1.0
Anforderungsanalyse: .claude/task/Workflow_engine_prompting_engine/anforderungsanalyse_umsetzungsplan.md
Konzept-Basis: .claude/task/Workflow_engine_prompting_engine/konzept_workflow_engine_konsolidated.md
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-03 16:55:51 +02:00
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"nutrition": "1.0.2",
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"photos": "1.0.0",
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"insights": "1.3.0",
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"prompts": "1.1.0",
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2026-04-22 08:38:38 +02:00
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"admin": "1.4.1", # Produkt-Dashboard-Standard GET/DELETE: merge_missing_catalog_widgets
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feat: Phase 0 - Workflow Engine Foundation
Backend:
- DB-Migration 034: workflow_definitions, workflow_question_catalog, workflow_executions
- ai_prompts.question_augmentations JSONB-Spalte (Hybridmodell: Prompt-Defaults)
- 6 Grundtypen Fragenergänzungen mit Normalisierungsregeln (Seed-Daten)
- Pydantic-Modelle (16 Models, 11 Enums) in workflow_models.py
- Workflow-Engine: Graph-Parsing, Topologische Sortierung, DAG-Validierung
- Dispatcher-Erweiterung type='workflow' (Stub für Phase 1-3)
- Adjacency Lists, Erreichbarkeits-Prüfungen, Zyklen-Erkennung
Testing:
- 22 Unit-Tests (alle bestanden): Graph-Parsing, Validierung, Topologische Sortierung
- Fixtures: simple_valid_graph, parallel_graph, branching_graph
Version:
- APP_VERSION 0.9i
- DB_SCHEMA_VERSION 20260403
- Module: workflow 0.1.0
Anforderungsanalyse: .claude/task/Workflow_engine_prompting_engine/anforderungsanalyse_umsetzungsplan.md
Konzept-Basis: .claude/task/Workflow_engine_prompting_engine/konzept_workflow_engine_konsolidated.md
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-03 16:55:51 +02:00
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"stats": "1.0.1",
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"exportdata": "1.1.0",
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"importdata": "1.0.0",
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"membership": "2.1.0",
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2026-04-11 08:45:00 +02:00
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"workflow": "0.7.0", # Part 3: Inline Prompts (reference + inline mode)
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2026-04-22 12:04:37 +02:00
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"app_dashboard": "1.17.1", # history_overview_viz: Bereichs-Kacheln einzeln per show_section_*
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2026-04-11 06:47:27 +02:00
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"csv_import": "0.3.2", # Import-Fehler: enrich_row_error / freundlichere 500-Hinweise
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"admin_csv_templates": "0.3.0", # POST /validate + Speichern nur bei valid (422 + warnings in Response)
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feat: Phase 0 - Workflow Engine Foundation
Backend:
- DB-Migration 034: workflow_definitions, workflow_question_catalog, workflow_executions
- ai_prompts.question_augmentations JSONB-Spalte (Hybridmodell: Prompt-Defaults)
- 6 Grundtypen Fragenergänzungen mit Normalisierungsregeln (Seed-Daten)
- Pydantic-Modelle (16 Models, 11 Enums) in workflow_models.py
- Workflow-Engine: Graph-Parsing, Topologische Sortierung, DAG-Validierung
- Dispatcher-Erweiterung type='workflow' (Stub für Phase 1-3)
- Adjacency Lists, Erreichbarkeits-Prüfungen, Zyklen-Erkennung
Testing:
- 22 Unit-Tests (alle bestanden): Graph-Parsing, Validierung, Topologische Sortierung
- Fixtures: simple_valid_graph, parallel_graph, branching_graph
Version:
- APP_VERSION 0.9i
- DB_SCHEMA_VERSION 20260403
- Module: workflow 0.1.0
Anforderungsanalyse: .claude/task/Workflow_engine_prompting_engine/anforderungsanalyse_umsetzungsplan.md
Konzept-Basis: .claude/task/Workflow_engine_prompting_engine/konzept_workflow_engine_konsolidated.md
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-03 16:55:51 +02:00
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}
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CHANGELOG = [
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2026-04-20 14:47:22 +02:00
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{
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2026-04-20 14:51:27 +02:00
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"version": "0.9t",
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"date": "2026-04-20",
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"changes": [
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"Phase C: data_layer/nutrition_chart_payloads (E1/E2/E4) — gemeinsam mit /api/charts/*",
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"nutrition-history-viz: chart_payloads + chart_payloads_days; Verlauf NutritionCharts ohne 3 Extra-HTTP-Calls",
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],
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},
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{
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2026-04-20 14:47:22 +02:00
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"version": "0.9s",
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"date": "2026-04-20",
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"changes": [
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"Phase B: body-history-viz weight.trend_kpi (Gewichtstrend-Urteil im data_layer/body_viz)",
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"History Körper-KPIs: keine Client-Schwellen für WHR/WHtR; KF%-Farbe über Interpretations-Status",
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"Kcal vs. Gewicht: kein Frontend-TDEE-Fallback; Hinweis bei <5 gemeinsamen Tagen",
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],
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},
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2026-04-20 14:43:31 +02:00
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{
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"version": "0.9r",
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"date": "2026-04-20",
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"changes": [
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"History Phase A: GET /api/charts/activity-last-updated (data_layer fitness_viz, gleiche Quelle wie last_updated im Fitness-Bundle)",
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"History: entfernt toten Initial-Load listWeight/listCaliper/listCirc/listNutrition/listActivity(25k); Profil/Insights/Prompts + Activity-Datum",
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],
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},
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2026-04-11 08:45:00 +02:00
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{
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"version": "0.9q",
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"date": "2026-04-11",
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"changes": [
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"Workflow Engine Part 3: Inline Prompts",
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"Frontend: Radio Buttons (Reference/Inline), InlineTemplateEditor Component",
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"Frontend: Placeholder Picker für Inline-Templates, Cursor-Position Tracking",
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"Backend: load_prompt_template() unterstützt inline_template",
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"Backend: WorkflowNode.inline_template Feld hinzugefügt",
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"Serialization: inline_template speichern/laden in graph_data",
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"Validation: Prüft dass entweder prompt_slug ODER inline_template gesetzt",
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],
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},
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2026-04-09 21:37:19 +02:00
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{
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"version": "0.9p",
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"date": "2026-04-09",
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"changes": [
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"Issue #21 Phase 1: Migration 042/043 (csv_field_mappings, csv_import_log, Seeds)",
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"csv_parser: core (Decode/Delimiter/Sample), module_registry, type_converter, permissions",
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"API /api/csv: modules, limits, mappings, analyze, copy",
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"API /api/admin/csv-templates: CRUD System-Templates, import-limits (system_config)",
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2026-04-10 06:03:21 +02:00
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"Issue #21: POST /api/csv/import + executor (nutrition Aggregat/Tag, weight, Blutdruck); activity 501",
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2026-04-10 06:15:21 +02:00
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"Issue #21: GET-Analyse über alle Vorlagen; Import nur mapping_id; GUI ohne Modul-Dropdown",
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2026-04-10 06:03:21 +02:00
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"v9c_cleanup_features.sql: FK-sichere csv_import→data_import Reihenfolge",
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2026-04-09 21:37:19 +02:00
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],
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},
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2026-04-05 07:07:49 +02:00
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{
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"version": "0.9n",
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2026-04-08 10:32:18 +02:00
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"date": "2026-04-06",
|
2026-04-05 07:07:49 +02:00
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"changes": [
|
2026-04-08 12:26:28 +02:00
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"Admin: Widgets × Features (Migration 041, AND-Gates, Hybrid mit widget_catalog)",
|
2026-04-08 10:32:18 +02:00
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"Admin: Produkt-Dashboard-Systemstandard (Migration 040 system_config, API, UI)",
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2026-04-05 07:07:49 +02:00
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"Phase 4: End Node Template Engine",
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"workflow_models.py: EndNodeOutputMode enum (AUTO, TEMPLATE)",
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"workflow_executor.py: execute_end_node() with Jinja2 template rendering",
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"Template Context: {{node_id.analysis_core}}, {{node_id.decision_signals.key}}",
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"Conditional Rendering: {% if node_id %} for optional paths",
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"AUTO Mode: Backward compatible concatenation of all analyses",
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"TEMPLATE Mode: Custom Jinja2 templates with placeholder support",
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]
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},
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feat: Phase 4 - Join Nodes and Path Consolidation
Backend Implementation (v0.9m, workflow 0.5.0):
- join_evaluator.py (394 lines): Join-Strategie-Evaluator
- evaluate_join_node(): Hauptlogik für Join-Node Execution
- Join-Strategien: wait_all, wait_any, best_effort
- Skip-Handling: ignore_skipped, use_placeholder, require_minimum
- Result Consolidation: merge analysis_cores, combine signals
- Partial Execution: korrekte Behandlung von SKIPPED/FAILED Pfaden
- workflow_executor.py: execute_join_node() Integration
- BFS-Traversierung erweitert für Join-Nodes
- NodeExecutionState List → Dict Konvertierung für Signale
- Signal-Name-Kollisionen via node_id Präfix gelöst
Testing (49 Tests passing):
- test_phase4_join_nodes.py: 18 neue Unit Tests
- Join-Strategien (wait_all, wait_any, best_effort)
- Skip-Handling (ignore, placeholder)
- Result Consolidation (merge, combine)
- Partial Execution (mixed status paths)
- Helper Functions (collect, check, merge, combine)
- Backward Compatibility: 31 Phase 2/3 Tests (alle passing)
- test_phase2_workflow_executor.py: 1 Test aktualisiert
- test_phase3_logic_evaluator.py: 20 Tests unverändert
Konzept: konzept_workflow_engine_konsolidated.md (Sektion 8.8)
Anforderungsanalyse: phase4_anforderungsanalyse.md
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-04 12:27:31 +02:00
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{
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"version": "0.9m",
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"date": "2026-04-04",
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"changes": [
|
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"Phase 4: Join Nodes and Path Consolidation",
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|
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"join_evaluator.py: Join-Strategie-Evaluator (wait_all, wait_any, best_effort)",
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"Path Status Collection: Sammelt incoming paths, prüft Ausführungsstatus",
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"Result Consolidation: Merged analysis_cores + combined signals (mit node_id Präfix)",
|
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"Skip-Handling: IGNORE_SKIPPED, USE_PLACEHOLDER, REQUIRE_MINIMUM",
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"Partial Execution: Korrekte Behandlung von SKIPPED/FAILED Pfaden",
|
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"workflow_executor.py: execute_join_node() Implementation",
|
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"NodeExecutionState: List[NormalizedSignal] korrekt konvertiert zu Dict",
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"Unit-Tests Phase 4: 18 Tests für Join Nodes (alle passing)",
|
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"Phase 2/3 Backward Compatibility: 31 Tests (alle passing)",
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]
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},
|
feat: Phase 3 - Logic Nodes + Conditional Branching
Backend:
- logic_evaluator.py (NEU, 307 Zeilen): Deterministischer Logic Evaluator
- Vergleichsoperatoren: EQ, NEQ, IN, NOT_IN, GT, LT, GTE, LTE, CONTAINS
- Logische Operatoren: AND, OR, NOT mit Verschachtelung
- Resolve signal references (node_id.question_type)
- Error handling für UNCLEAR/INVALID/NOT_DECIDABLE Signale
- workflow_executor.py (ERWEITERT):
- execute_logic_node(): Bedingungen evaluieren, Pfade aktivieren/deaktivieren
- execute_workflow(): BFS-Traversierung mit Edge-Activation statt Sequential
- _apply_fallback(): 4 Fallback-Strategien (CONSERVATIVE_SKIP, DEFAULT_PATH, UNCERTAINTY_PATH, DOCUMENT_ONLY)
- _has_active_incoming_edge(): Prüft ob Node erreichbar ist
- _get_edges_by_label(): Findet then/else/uncertainty Pfade
- workflow_models.py (ERWEITERT):
- LogicOperator.CONTAINS hinzugefügt
- version.py: 0.9k → 0.9l, workflow 0.3.0 → 0.4.0
Tests:
- test_phase3_logic_evaluator.py (NEU): 20 Unit Tests (alle passing)
- Comparison operators (EQ, NEQ, IN, GT, LT, CONTAINS)
- Logical operators (AND, OR, NOT)
- Nested expressions
- Error handling (missing refs, UNCLEAR/INVALID signals)
- test_phase2_workflow_executor.py (AKTUALISIERT): 11 Tests (alle passing)
- execute_node() graph parameter hinzugefügt (Phase 3 requirement)
- test_execute_node_unknown_type: logic → join (logic jetzt implementiert)
- test_phase3_workflow_branching.py (NEU): Integration Tests vorbereitet
- Erfordert vollständige DB-Mock-Strategie (wird in E2E-Test nachgeholt)
Phase 2 Backward Compatibility: ✅ Alle Phase 2 Tests bestehen weiterhin
Konzept: .claude/task/Workflow_engine_prompting_engine/konzept_workflow_engine_konsolidated.md
Anforderungsanalyse: .claude/task/Workflow_engine_prompting_engine/phase3_anforderungsanalyse.md
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-04 08:02:22 +02:00
|
|
|
|
{
|
|
|
|
|
|
"version": "0.9l",
|
|
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|
"date": "2026-04-04",
|
|
|
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|
"changes": [
|
|
|
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|
|
"Phase 3: Logic Nodes + Conditional Branching",
|
|
|
|
|
|
"logic_evaluator.py: Deterministischer Logic Evaluator (EQ, NEQ, IN, GT, LT, CONTAINS, AND, OR, NOT)",
|
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"workflow_executor.py: Conditional Branching via BFS-Traversierung mit Edge-Activation",
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"execute_logic_node(): Bedingungen evaluieren, then/else Pfade aktivieren",
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"Fallback-Strategien: CONSERVATIVE_SKIP, DEFAULT_PATH, UNCERTAINTY_PATH, DOCUMENT_ONLY",
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"workflow_models.py: CONTAINS Operator hinzugefügt",
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"Unit-Tests Phase 3: 20 Tests für Logic Evaluator (alle passing)",
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"Phase 2 Backward Compatibility: 11 Tests aktualisiert (alle passing)",
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]
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},
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feat: Phase 2 - Normalisierung + Workflow Executor
Backend:
- normalization_engine.py (200 Zeilen): Synonym-Mapping, 5 Statuswerte
* normalize_decision_signal(): Kaskade (exact → case → synonym → invalid)
* apply_synonym_mapping(): DB-basierte Synonyme (case-insensitive)
* normalize_all_signals(): Batch-Processing gegen Katalog
* load_question_catalog(): Lädt normalization_rules aus DB
- workflow_executor.py (440 Zeilen): Sequenzielle Workflow-Ausführung
* execute_workflow(): Traversiert DAG in topologischer Reihenfolge
* execute_node(): Führt analysis nodes aus (start/end = no-op)
* aggregate_results(): Kombiniert analysis_core + normalized_signals
* save_execution_state(): Persistiert in workflow_executions
- workflow_models.py: Erweitert um Phase 2 Models
* SignalStatus Enum (valid, normalized, unclear, invalid, not_decidable)
* NormalizedSignal (question_type, raw_value, normalized_value, status)
* NodeExecutionState (node_id, status, analysis_core, normalized_signals)
* ExecutionResult (execution_id, workflow_id, status, node_states, aggregated_result)
- workflow_engine.py: Neue Funktion get_execution_order()
* Flattened topological sort für sequenzielle Execution
* Phase 7: Wird zu levels (parallele Execution)
- prompt_executor.py: execute_workflow_prompt() Implementierung
* Ruft workflow_executor.execute_workflow() auf
* Konvertiert ExecutionResult zu API-Response
- routers/workflows.py (230 Zeilen): Workflow Execution API
* POST /api/workflows/{id}/execute (mit enable_debug)
* GET /api/workflows/executions/{id} (lädt gespeicherten State)
* GET /api/workflows (listet alle aktiven Workflows)
* GET /api/workflows/{id} (lädt einzelnen Workflow mit Graph)
- main.py: Router-Registrierung (workflows.router)
Tests:
- test_phase2_normalization.py (17 Tests): Alle Normalisierungs-Szenarien
* Exact match, case-insensitive, synonym mapping, invalid, whitespace
* Batch-Normalisierung, not_in_catalog, mixed validity
- test_phase2_workflow_executor.py (10 Tests): Executor + Aggregation
* aggregate_results mit verschiedenen Konstellationen
* execute_node für start/end/analysis/unknown
* Integration mit question_augmenter + result_container_parser
Alle 27 Unit-Tests bestanden.
version: 0.9k (backend)
module: workflow 0.3.0
Konzept: .claude/task/Workflow_engine_prompting_engine/anforderungsanalyse_umsetzungsplan.md (Phase 2)
2026-04-03 21:20:23 +02:00
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{
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"version": "0.9k",
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"date": "2026-04-03",
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"changes": [
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"Phase 2: Normalisierung + Workflow Executor",
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"normalization_engine.py: Synonym-Mapping, 5 Statuswerte (valid, normalized, unclear, invalid, not_decidable)",
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"workflow_executor.py: Sequenzielle Workflow-Ausführung, Node-State-Tracking, Ergebnis-Aggregation",
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"Integration in prompt_executor.py: Dispatcher für type='workflow'",
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"API-Router workflows.py: POST /workflows/{id}/execute, GET /workflows/executions/{id}",
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"Unit-Tests Phase 2: 27 Tests (normalization_engine + workflow_executor)",
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"Erweitert: workflow_models.py (NormalizedSignal, NodeExecutionState, ExecutionResult)",
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]
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},
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2026-04-03 18:02:25 +02:00
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{
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"version": "0.9j",
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"date": "2026-04-03",
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"changes": [
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"Phase 1: Fragenergänzung + Strukturierter Container",
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"question_augmenter.py: Hybrid-Modell (Knotengebundene Fragen überschreiben Prompt-Defaults)",
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"result_container_parser.py: Markdown-Sektionen (Analysekern, Entscheidungsanteil, Begründungsanker)",
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"Integration in execute_base_prompt(): Fragenergänzung vor LLM-Call, Parsing nach LLM-Response",
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"API-Router workflow_questions.py: CRUD für workflow_question_catalog",
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"Unit-Tests Phase 1: 25 Tests (question_augmenter + result_container_parser)",
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]
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},
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feat: Phase 0 - Workflow Engine Foundation
Backend:
- DB-Migration 034: workflow_definitions, workflow_question_catalog, workflow_executions
- ai_prompts.question_augmentations JSONB-Spalte (Hybridmodell: Prompt-Defaults)
- 6 Grundtypen Fragenergänzungen mit Normalisierungsregeln (Seed-Daten)
- Pydantic-Modelle (16 Models, 11 Enums) in workflow_models.py
- Workflow-Engine: Graph-Parsing, Topologische Sortierung, DAG-Validierung
- Dispatcher-Erweiterung type='workflow' (Stub für Phase 1-3)
- Adjacency Lists, Erreichbarkeits-Prüfungen, Zyklen-Erkennung
Testing:
- 22 Unit-Tests (alle bestanden): Graph-Parsing, Validierung, Topologische Sortierung
- Fixtures: simple_valid_graph, parallel_graph, branching_graph
Version:
- APP_VERSION 0.9i
- DB_SCHEMA_VERSION 20260403
- Module: workflow 0.1.0
Anforderungsanalyse: .claude/task/Workflow_engine_prompting_engine/anforderungsanalyse_umsetzungsplan.md
Konzept-Basis: .claude/task/Workflow_engine_prompting_engine/konzept_workflow_engine_konsolidated.md
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-03 16:55:51 +02:00
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{
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"version": "0.9i",
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"date": "2026-04-03",
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"changes": [
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"Phase 0: Workflow Engine Foundation",
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"DB-Migration 034: workflow_definitions, workflow_question_catalog, workflow_executions",
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"Pydantic-Modelle für Workflow-Graph (WorkflowGraph, Node, Edge, Condition)",
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"Graph-Parsing, Topologische Sortierung, DAG-Validierung",
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"Dispatcher-Erweiterung: type='workflow' (Stub-Implementierung)",
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"Unit-Tests für Phase 0 (Graph-Parsing, Zyklen-Erkennung, Erreichbarkeit)",
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]
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},
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{
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"version": "0.9h+",
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"date": "2026-03-28",
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"changes": [
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"Phase 0c: Multi-Layer Data Architecture Complete",
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"Data Layer Migration (97 Funktionen in 6 Modulen)",
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"20 neue Chart Endpoints (E1-E5, A1-A8, R1-R5, C1-C4)",
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"Single Source of Truth für Datenberechnungen",
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]
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},
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]
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