Projektuebersicht

Unity-Pfad: C:\Users\Till\Projects\AquilaUnity Map-Pipeline: C:\Users\Till\Projects\aquila-westmed GitHub (Unity):https://github.com/tillostertag-web/AquilaUnity (private) GitHub (Map): https://github.com/tillostertag-web/aquila Engine: Unity 6.3 LTS (Universal 2D / URP, Top-Down Campaign Prototype) Sprachen: C# fuer Kamera, HUD, Marker, Tile-Loader Python fuer Terrain-Bake, Relief, Forest-Sprites, Review-Tools Rendering: URP Sprite-Lit-Map, Global Light 2D, StreamingAssets Tile-Pyramide Zoom-Stufen z0-z5 aus 16K Master, 4096 Fallback-Map unter den Tiles Map-Daten: Westliches Mittelmeer, 16.384x12.288 Master, 32x24 Tiles auf z5 8 Prototype-Settlements mit Lon/Lat -> World Mapping und klickbarer HUD-Selektion Architektur: Assets/Aquila/Scripts/ (CampaignCameraController, CampaignHud, SettlementLoader, TilePyramidLoader) Assets/StreamingAssets/Aquila/tiles/ (synced runtime tiles + manifest) tools/ in aquila-westmed (Bake, Forest-Sprites, Review-Snapshots, Unity tile sync) Graphify: AquilaUnity/graphify-out/graph.html + graph.json (Portfolio-Embed + GitHub-Doku) Roadmap: Website: aquila-roadmap.html | Quelle: AquilaUnity/docs/TODO_AQUILA.md Fokus: Kampagnenkarten-Prototyp, historische Kartenlesbarkeit, Unity-Integration, Tile-Streaming

Pfad: C:\Users\Till\Projects\imperium GitHub: — (lokal) Build: cmake -B build -G "Visual Studio 18 2026" -DCMAKE_TOOLCHAIN_FILE=C:/vcpkg/scripts/buildsystems/vcpkg.cmake cmake --build build --config Release --parallel Run: .\build\Release\imperium.exe Architektur: src/core/ (Engine, Window, Input) src/game/ (City, Road, Simulation, TerrainQuery) src/render/ (Camera, CityRenderer, RoadRenderer, MapRenderer, Shader) src/game/systems/ (Production, Trade, Taxation, Culture, Unrest, Building, Character) tools/ (Python: bake_heightmap, bake_coastline, generate_cities, generate_roads) Dependencies: SDL2 (vcpkg), GLM 1.0.1, EnTT 3.14.0, nlohmann_json 3.11.3, stb_image, GLAD Koordinaten: game_x = (lon + 12) / 57 * 4096, game_y = (lat - 24) / 34 * 4096 Kartengrenzen: lon [-12, 45], lat [24, 58] Graphify: graphify-out/graph.json (851 Nodes, 1.353 Edges, 80 Communities) graphify-out/GRAPH_REPORT.md — God Nodes, Surprising Connections Fokus: Road-Generation System (4-Cone directional search, A*-Pathfinding, Crossing-Elimination, Corridor-Merging)

Pfad: C:\Users\Till\Projects\maptool GitHub: https://github.com/tillostertag-web/maptool Setup: git clone https://github.com/tillostertag-web/maptool.git python -m venv .venv && .venv\Scripts\activate pip install -e ".[dev]" cp .env.example .env # OPENTOPO_API_KEY paste Run: maptool studio # Gradio web editor on :7860 maptool build --region sicily --quality high --paint biome maptool tile --region sicily # native-density tile pyramid Architektur: src/maptool/sources/ (SRTM + WorldCover downloaders mit windowed-read) src/maptool/render/ (biome_compositor, tree_sprites, hillshade, paint_noise) src/maptool/assets/ (Biome-Catalog, Procedural-Texturen, optional fal.ai) src/maptool/studio/ (Gradio-App + state-persistence + synthetic-sample preview) Pipeline: DEM (SRTMGL1 30m) → uint16 heightmap PNG + bbox meta JSON WorldCover S3 COG → categorical landcover via mode-resampling Per-pixel biome classification (slope/elev/codes/lat/coast) Per-stripe texture sampling + hillshade modulation + paint-noise overlay Tree-sprite scatter on codes==10 mit drop-shadow + species-by-lat Memory: Stripe-processed bei ultra (200 MP); <3 GB peak via uint8/uint16-Modulatoren Studio: Gradio web UI — synthetic 1024×512 sample mit allen 8 Biomen Slider release → full compositor re-render <1s → live preview Save params zu .cache/biome_params.json → build picks them up Roadmap: Rivers/Roads/Settlements via OSM, Field-Grid auf Cropland, Foam at Coast, 2-3 Species pro Lat-Band, Region-Picker im Studio, Preset Save/Load

Pfad: C:\Users\Till\Documents\WarlordBritannia GitHub: — (lokal) Engine: Godot 4.6.1 (GDScript + C++ GDExtension) Architektur: godot/ (Godot-Projekt: Szenen, Shader, Assets) godot/assets/terrain/ (Heightmap, Coastline, Ground Textures, Props, Trees) godot/assets/army/ (Soldier Sprites, Cohort/Legion Blocks, Standards) tools/ (Python: generate_terrain_textures, generate_army_sprites, generate_tree_sprites) assets/terrain/ (Source: heightmap_britannia.png, coastline_mask 4k/8k) GDD: GAME_DESIGN_DOCUMENT.md — Vision, 3 Saeulen, 4 Karrierephasen, 25 Staemme Rendering: NASA SRTM Heightmap + Fractal Noise + Pre-computed Hillshade 5 LOD-Stufen: Strategic, Campaign, Tactical, Close, Battle MultiMeshInstance2D fur GPU-Instancing (100k+ Einheiten) Fraktionen: Romer (Legionar, Centurion, Signifer, Auxiliary) vs Britonen (Champion) Graphify: graphify-out/graph.json (455 Nodes, 698 Edges, 44 Communities) Fokus: Terrain-Rendering, Sprite-Generierung, LOD-System

Pfad: C:\Users\Till\Projects\postbellum GitHub: — (lokal) Engine: Godot 4.3+ (GL Compatibility Renderer, Top-Down-2D) Sprachen: Typed GDScript (Phase 0–4) + C++17 via GDExtension (Phase 5+ Hotpath-Ports) Build (C++): SCons + godot-cpp Submodule; tools/build.ps1 findet vcvars64 automatisch Architektur: scripts/ (Sim: Units, Formation, Kampf, Moral, Messenger) shaders/ (GLSL, Terrain + Unit-Rendering) scenes/ (Battle, Camera, UI) src/ (C++ Build-Probe, Register-Types — Smoke-Test) tests/test_runner.tscn (Headless-Harness, 10 Tests, CI-integriert) tools/ (perf_probe, build.ps1) Phasen: Phase 0 Setup ✓  Phase 1 Sim-Kern (Formation/Bewegung) ✓ Phase 2 Kampf + Moral ✓ (Flanking, Rout, Panik-Kaskade) Phase 3 Command-Layer (Drag-Box, Messenger-Delay, Battle-State) — aktiv Phase 4 Rendering Polish — Terrain-Shader, Zoom-LOD, UI-Theme Phase 5 Profile & C++-Port (datengetrieben) Phase 6+ Campaign (Provinzen, Senat, historische Charaktere) Design-Prinzipien:1. Formations-Integritaet > Individualkampf 2. Moral entscheidet Schlachten, nicht HP-Attrition 3. Spieler ist Legatus, kein Allwissender (Messenger-Delay, Fog of War) 4. Historische Authentizitaet vor Gamey-Balance 5. Muted Aesthetik (gedeckte Erdtoene, keine HP-Balken, keine Damage-Zahlen) Historisch: Quellen: Polybios (Buch 6), Appian (Iberike), Plutarch (Tib. Gracchus), Diodor (Sklavenkrieg); Keaveney, Rosenstein, Goldsworthy, Matyszak Referenz: Primaer: Carthage: Bellum Punicum (Square-Formation + Einzel-Soldat-Zoom) Sekundaer: HistoryMarche; Anti: Total War, Ultimate General Determinismus: Sim in _physics_process (60 Hz), Render in _process, Seeded RNG pro Schlacht Graphify: graphify-out/graph.json (453 Nodes, 455 Edges, 119 Communities) godot-cpp + Asset-Bilder via .graphifyignore ausgeschlossen — nur eigener Code + Docs 14 benannte Communities: Combat/Rout, Manipulare Legion, Messenger-Delay, DEM-Heightmap-Pipeline, Legatus-Prinzipien … GDScript via semantischer LLM-Extraktion (tree-sitter hat keinen .gd-Parser) graphify-out/GRAPH_REPORT.md — God Nodes, Community-Struktur Fokus: Moral-System, Flanking-Zonen (FRONT/FLANK/REAR Multiplikatoren), Panik-Kaskaden

GitHub: https://github.com/tillostertag-web/gynteach Cloudflare: gynteach.pages.dev Dateien: index.html (Lehrplattform, 5 Module), gynteach.html Architektur: Single-File HTML, Vanilla JS, kein Build-Step Module: 1. Adnextumor (S3 Ovar v6.1, IOTA Simple Rules, ESGO 2025) 2. PMB - Postmenopausale Blutung (S3 Endometrium v3.0, ESGO 2025) 3. Zervixkarzinom-Screening (S3 Praevention, Ko-Test-Algorithmus) 4. Schulterdystokie (HELPERR, DGGG 2024, RCOG Green-Top 42) 5. CTG-Simulator (30 Szenarien, FIGO 2015, Dawes-Redman STV, Quiz-Modus) Design: DM Sans + Playfair Display, Dark Theme, Gold-Accent #c9a96e

Pfad: C:\Users\Till\Projects\intensivtools GitHub: https://github.com/tillostertag-web/intensivtools (public) Cloudflare: intensivtools.pages.dev Dateien: index.html (Single-File, ~283 KB), INTENSIV_SPEC.md Architektur: Single-File HTML, Vanilla JS, kein Build-Step, kein CDN CSS-Variablen Design-Tokens, h() DOM-Helper, createStore/store State Module: 1. Sepsis (SSC 2021, qSOFA, SOFA, Sepsis-Bundle) 2. ARDS (ARDSNet, Berlin-Definition, Beatmungseinstellung) 3. AKI (KDIGO 2012, Staging, Dialyseindikation) 4. Kardiovaskulaer (ESC 2023, Schockformen, Katecholamine) 5. Gerinnung/DIC (ISTH 2023, ROTEM-Interpreter, Post-ROSC/TTM) 6. Stoffwechsel (ADA/AWMF, BGA-Interpreter, ECMO-Manager VV+VA) Design: --accent: #1a5fa8 (ICU-Blau), Ampel-System (gruen/gelb/orange/rot) Deploy: npx wrangler pages deploy . --project-name intensivtools

Pfad: C:\Users\Till\Desktop\GynToolRepo GitHub: https://github.com/tillostertag-web/GynTool (private) Cloudflare: gyn-tools.pages.dev Dateien: index.html (Landing Page), BirthScan_v3.html, ChemoScan.html, DopplerScan.html, PostpartumScan.html, gynonko_v5.html Architektur: Single-File HTML pro Tool, Vanilla JS, kein Build-Step Shared: CSS-Variablen, h() DOM-Helper, createStore/store, GynDesk Header Tools: 1. BirthScan — Geburtsplanung (Bishop Score, CTG, VBAC, Sectio-Risiko) 2. ChemoScan — Chemotherapie (CTCAE v6, ECOG, KELIM, Carbo/Pac, BRCA) 3. DopplerScan — Doppler-Sono (UA PI, MCA PI/PSV, CPR, FGR-Staging I-IV) 4. PostpartumScan — Medikamentensicherheit (37 Medikamente, Embryotox) 5. GynOnko — Gyn. Onkologie (OvaScan, EndoScan, EndoMetriose, Verlauf) Vernetzung: CA-125 verbindet OvaScan mit ChemoScan (RMI -> KELIM) BRCA verbindet OvaScan mit ChemoScan (Screening -> PARP-Inhibitor) Doppler-Befunde -> BirthScan (FGR-Staging -> Entbindungszeitpunkt) Molekulare Klassifikation -> ChemoScan (EndoScan -> Immuntherapie) Graphify: graphify-out/graph.json (112 Nodes, 158 Edges, 14 Communities) Deploy: npx wrangler pages deploy . --project-name gyn-tools