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@@ -1,76 +0,0 @@
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# Piano di distribuzione ARM con AppImage
|
||||
|
||||
Questo repository ora e pronto per essere portato dentro un bundle AppImage senza dipendere dalla directory corrente e senza scrivere nel filesystem montato in sola lettura dell'AppImage.
|
||||
|
||||
## Stato attuale
|
||||
|
||||
- Le risorse di runtime vengono risolte a partire dal root del progetto tramite `MICE_PROJECT_ROOT`.
|
||||
- I dati persistenti (`scores.txt`, `user_profiles.json`) vengono scritti in una directory utente persistente:
|
||||
- `MICE_DATA_DIR`, se impostata.
|
||||
- altrimenti `${XDG_DATA_HOME}/mice`.
|
||||
- fallback: `~/.local/share/mice`.
|
||||
- E presente uno scaffold di packaging in `packaging/`.
|
||||
|
||||
## Strategia consigliata
|
||||
|
||||
1. Costruire l'AppImage su una macchina `aarch64` reale o in una chroot/container ARM.
|
||||
2. Creare dentro `AppDir` un ambiente Python copiato localmente con `python -m venv --copies`.
|
||||
3. Installare le dipendenze Python da `requirements.txt` dentro quel Python locale.
|
||||
4. Copiare il gioco e gli asset in `AppDir/usr/share/mice`.
|
||||
5. Bundlare le librerie native richieste da SDL2 e dai wheel Python dentro `AppDir/usr/lib`.
|
||||
6. Usare `AppRun` per esportare `LD_LIBRARY_PATH`, `MICE_PROJECT_ROOT` e `MICE_DATA_DIR` prima del lancio di `rats.py`.
|
||||
7. Generare il file finale con `appimagetool`.
|
||||
|
||||
## Perche costruire nativamente su ARM
|
||||
|
||||
- Un AppImage deve contenere binari della stessa architettura del target.
|
||||
- `PySDL2`, `numpy` e `Pillow` portano con se librerie native o dipendenze native.
|
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- Il cross-build da `x86_64` a `aarch64` e possibile, ma aumenta molto il rischio di incompatibilita su `glibc`, `libSDL2` e wheel Python.
|
||||
|
||||
## Comando di build
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||||
|
||||
Da una macchina Linux `aarch64` con `python3`, `rsync`, `ldd`, `ldconfig` e `appimagetool` disponibili:
|
||||
|
||||
```bash
|
||||
./packaging/build_appimage_aarch64.sh
|
||||
```
|
||||
|
||||
Output previsto:
|
||||
|
||||
- `dist/AppDir`
|
||||
- `dist/Mice-aarch64.AppImage`
|
||||
|
||||
## Dipendenze host richieste al builder ARM
|
||||
|
||||
Serve un sistema di build ARM con almeno:
|
||||
|
||||
- `python3`
|
||||
- `python3-venv`
|
||||
- `rsync`
|
||||
- `glibc` userland standard
|
||||
- `appimagetool`
|
||||
- librerie di sviluppo/runtime installate sul builder, in particolare:
|
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- `libSDL2`
|
||||
- `libSDL2_ttf`
|
||||
|
||||
## Test minimi da fare sul target ARM
|
||||
|
||||
1. Avvio del gioco da shell.
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||||
2. Caricamento font e immagini.
|
||||
3. Riproduzione audio WAV.
|
||||
4. Salvataggio punteggi in `~/.local/share/mice/scores.txt`.
|
||||
5. Creazione e lettura profili in `~/.local/share/mice/user_profiles.json`.
|
||||
6. Cambio livello da `assets/Rat/level.dat`.
|
||||
|
||||
## Rischi residui
|
||||
|
||||
- La relocazione di un venv copiato dentro AppImage e pratica, ma va verificata sul target reale.
|
||||
- Se il target ARM ha un userland molto vecchio, conviene costruire l'AppImage su una distro ARM con `glibc` piu vecchia del target.
|
||||
- Se emergono problemi di relocazione del Python del venv, il passo successivo corretto e passare a un Python relocatable tipo `python-build-standalone` mantenendo invariato il launcher.
|
||||
|
||||
## File introdotti
|
||||
|
||||
- `runtime_paths.py`
|
||||
- `packaging/appimage/AppRun`
|
||||
- `packaging/appimage/mice.desktop`
|
||||
- `packaging/build_appimage_aarch64.sh`
|
||||
@@ -1,221 +0,0 @@
|
||||
# Ottimizzazione Sistema di Collisioni con NumPy
|
||||
|
||||
## Sommario
|
||||
|
||||
Il sistema di collisioni del gioco è stato ottimizzato per gestire **oltre 200 unità simultanee** mantenendo performance elevate (50+ FPS).
|
||||
|
||||
## Problema Originale
|
||||
|
||||
### Analisi del Vecchio Sistema
|
||||
|
||||
1. **Metodo Rat.collisions()**: O(n²) nel caso peggiore
|
||||
- Ogni ratto controllava tutte le unità nelle sue celle
|
||||
- Controllo AABB manuale per ogni coppia
|
||||
- Con molti ratti nella stessa cella, diventava O(n²)
|
||||
|
||||
2. **Calcoli bbox ridondanti**
|
||||
- bbox calcolata in `draw()` ma usata anche in `collisions()`
|
||||
- Nessun caching
|
||||
|
||||
3. **Esplosioni bombe**: Iterazioni multiple sulle stesse posizioni
|
||||
- Loop annidati per ogni direzione dell'esplosione
|
||||
- Controllo manuale di `unit_positions` e `unit_positions_before`
|
||||
|
||||
4. **Gas**: Controllo vittime a ogni frame anche quando non necessario
|
||||
|
||||
## Soluzione Implementata
|
||||
|
||||
### Nuovo Sistema: CollisionSystem (engine/collision_system.py)
|
||||
|
||||
#### Caratteristiche Principali
|
||||
|
||||
1. **Approccio Ibrido**
|
||||
- < 10 candidati: Metodo semplice senza overhead NumPy
|
||||
- ≥ 10 candidati: Operazioni vettorizzate con NumPy
|
||||
- Ottimale per tutti gli scenari
|
||||
|
||||
2. **Spatial Hashing**
|
||||
- Dizionari `spatial_grid` e `spatial_grid_before`
|
||||
- Lookup O(1) per posizioni
|
||||
- Solo candidati nella stessa cella vengono controllati
|
||||
|
||||
3. **Pre-allocazione Array NumPy**
|
||||
- Arrays pre-allocati con capacità iniziale di 100
|
||||
- Raddoppio dinamico quando necessario
|
||||
- Riduce overhead di `vstack`/`append`
|
||||
|
||||
4. **Collision Layers**
|
||||
- Matrice di collisione 6x6 per filtrare interazioni non necessarie
|
||||
- Layers: RAT, BOMB, GAS, MINE, POINT, EXPLOSION
|
||||
- Controllo O(1) se due layer possono collidere
|
||||
|
||||
5. **AABB Vettorizzato**
|
||||
- Controllo collisioni bbox per N unità in una sola operazione
|
||||
- Broadcasting NumPy per calcoli paralleli
|
||||
|
||||
### Struttura del Sistema
|
||||
|
||||
```python
|
||||
class CollisionSystem:
|
||||
- register_unit() # Registra unità nel frame corrente
|
||||
- get_collisions_for_unit() # Trova tutte le collisioni per un'unità
|
||||
- get_units_in_area() # Ottiene unità in più celle (esplosioni)
|
||||
- check_aabb_collision_vectorized() # AABB vettorizzato
|
||||
- _simple_collision_check() # Metodo semplice per pochi candidati
|
||||
```
|
||||
|
||||
### Modifiche alle Unità
|
||||
|
||||
#### 1. Unit (units/unit.py)
|
||||
- Aggiunto attributo `collision_layer`
|
||||
- Inizializzazione con layer specifico
|
||||
|
||||
#### 2. Rat (units/rat.py)
|
||||
- Usa `CollisionSystem.get_collisions_for_unit()`
|
||||
- Eliminati loop manuali
|
||||
- Tolleranza AABB gestita dal sistema
|
||||
|
||||
#### 3. Bomb (units/bomb.py)
|
||||
- Esplosioni usano `get_units_in_area()`
|
||||
- Raccolta posizioni esplosione → query batch
|
||||
- Singola operazione per trovare tutte le vittime
|
||||
|
||||
#### 4. Gas (units/gas.py)
|
||||
- Usa `get_units_in_cell()` per trovare vittime
|
||||
- Separazione tra position e position_before
|
||||
|
||||
#### 5. Mine (units/mine.py)
|
||||
- Controllo trigger con `get_units_in_cell()`
|
||||
- Layer-based detection
|
||||
|
||||
### Integrazione nel Game Loop (rats.py)
|
||||
|
||||
```python
|
||||
# Inizializzazione
|
||||
self.collision_system = CollisionSystem(
|
||||
self.cell_size, self.map.width, self.map.height
|
||||
)
|
||||
|
||||
# Update loop (3 passaggi)
|
||||
1. Move: Tutte le unità si muovono
|
||||
2. Register: Registrazione nel collision system + backward compatibility
|
||||
3. Collisions + Draw: Controllo collisioni e rendering
|
||||
```
|
||||
|
||||
## Performance
|
||||
|
||||
### Test Results (250 unità su griglia 30x30)
|
||||
|
||||
**Stress Test - 100 frames:**
|
||||
```
|
||||
Total time: 332.41ms
|
||||
Average per frame: 3.32ms
|
||||
FPS capacity: 300.8 FPS
|
||||
Target (50 FPS): ✓ PASS
|
||||
```
|
||||
|
||||
### Confronto Scenari Reali
|
||||
|
||||
| Numero Unità | Frame Time | FPS Capacity |
|
||||
|--------------|------------|--------------|
|
||||
| 50 | ~0.5ms | 2000 FPS |
|
||||
| 100 | ~1.3ms | 769 FPS |
|
||||
| 200 | ~2.5ms | 400 FPS |
|
||||
| 250 | ~3.3ms | 300 FPS |
|
||||
| 300 | ~4.0ms | 250 FPS |
|
||||
|
||||
**Conclusione**: Il sistema mantiene **performance eccellenti** anche con 300+ unità, ben oltre il target di 50 FPS.
|
||||
|
||||
### Vantaggi per Scenari Specifici
|
||||
|
||||
1. **Molti ratti in poche celle**:
|
||||
- Vecchio: O(n²) per celle dense
|
||||
- Nuovo: O(n) con spatial hashing
|
||||
|
||||
2. **Esplosioni bombe**:
|
||||
- Vecchio: Loop annidati per ogni direzione
|
||||
- Nuovo: Singola query batch per tutte le posizioni
|
||||
|
||||
3. **Scalabilità**:
|
||||
- Vecchio: Degrada linearmente con numero unità
|
||||
- Nuovo: Performance costante grazie a spatial hashing
|
||||
|
||||
## Compatibilità
|
||||
|
||||
- **Backward compatible**: Mantiene `unit_positions` e `unit_positions_before`
|
||||
- **Rimozione futura**: Questi dizionari possono essere rimossi dopo test estesi
|
||||
- **Nessuna breaking change**: API delle unità invariata
|
||||
|
||||
## File Modificati
|
||||
|
||||
1. ✅ `requirements.txt` - Aggiunto numpy
|
||||
2. ✅ `engine/collision_system.py` - Nuovo sistema (370 righe)
|
||||
3. ✅ `units/unit.py` - Aggiunto collision_layer
|
||||
4. ✅ `units/rat.py` - Ottimizzato collisions()
|
||||
5. ✅ `units/bomb.py` - Esplosioni vettorizzate
|
||||
6. ✅ `units/gas.py` - Query ottimizzate
|
||||
7. ✅ `units/mine.py` - Detection ottimizzata
|
||||
8. ✅ `units/points.py` - Aggiunto collision_layer
|
||||
9. ✅ `rats.py` - Integrato CollisionSystem nel game loop
|
||||
10. ✅ `test_collision_performance.py` - Benchmark suite
|
||||
|
||||
## Prossimi Passi (Opzionali)
|
||||
|
||||
1. **Rimozione backward compatibility**: Eliminare `unit_positions`/`unit_positions_before`
|
||||
2. **Profiling avanzato**: Identificare ulteriori bottleneck
|
||||
3. **Spatial grid gerarchico**: Per mappe molto grandi (>100x100)
|
||||
4. **Caching bbox**: Se le unità non si muovono ogni frame
|
||||
|
||||
## Installazione
|
||||
|
||||
```bash
|
||||
cd /home/enne2/Sviluppo/mice
|
||||
source .venv/bin/activate
|
||||
pip install numpy
|
||||
```
|
||||
|
||||
## Testing
|
||||
|
||||
```bash
|
||||
# Benchmark completo
|
||||
python test_collision_performance.py
|
||||
|
||||
# Gioco normale
|
||||
./mice.sh
|
||||
```
|
||||
|
||||
## Note Tecniche
|
||||
|
||||
### Approccio Ibrido Spiegato
|
||||
|
||||
Il sistema usa un **threshold di 10 candidati** per decidere quando usare NumPy:
|
||||
|
||||
- **< 10 candidati**: Loop Python semplice (no overhead numpy)
|
||||
- **≥ 10 candidati**: Operazioni vettorizzate NumPy
|
||||
|
||||
Questo è ottimale perché:
|
||||
- Con pochi candidati, l'overhead di creare array NumPy supera i benefici
|
||||
- Con molti candidati, la vettorizzazione compensa l'overhead iniziale
|
||||
|
||||
### Memory Layout
|
||||
|
||||
```
|
||||
Arrays NumPy (pre-allocati):
|
||||
- bboxes: (capacity, 4) float32 → ~1.6KB per 100 unità
|
||||
- positions: (capacity, 2) int32 → ~800B per 100 unità
|
||||
- layers: (capacity,) int8 → ~100B per 100 unità
|
||||
|
||||
Total: ~2.5KB per 100 unità (trascurabile)
|
||||
```
|
||||
|
||||
## Conclusioni
|
||||
|
||||
L'ottimizzazione con NumPy è **altamente efficace** per il caso d'uso di Mice! con 200+ unità:
|
||||
|
||||
✅ Performance eccellenti (300+ FPS con 250 unità)
|
||||
✅ Scalabilità lineare grazie a spatial hashing
|
||||
✅ Backward compatible
|
||||
✅ Approccio ibrido ottimale per tutti gli scenari
|
||||
✅ Memory footprint minimo
|
||||
|
||||
Il sistema è **pronto per la produzione**.
|
||||
@@ -1,773 +0,0 @@
|
||||
# NumPy Tutorial: Dal Tuo Sistema di Collisioni al Codice Ottimizzato
|
||||
|
||||
Questo documento spiega NumPy usando come esempio reale il sistema di collisioni di Mice!, confrontando il tuo approccio originale con la versione ottimizzata.
|
||||
|
||||
## Indice
|
||||
1. [Introduzione: Il Problema delle Performance](#1-introduzione-il-problema-delle-performance)
|
||||
2. [Cos'è NumPy e Perché Serve](#2-cosè-numpy-e-perché-serve)
|
||||
3. [Concetti Base di NumPy](#3-concetti-base-di-numpy)
|
||||
4. [Dal Tuo Codice a NumPy: Caso Pratico](#4-dal-tuo-codice-a-numpy-caso-pratico)
|
||||
5. [Spatial Hashing: L'Algoritmo Intelligente](#5-spatial-hashing-lalgoritmo-intelligente)
|
||||
6. [Operazioni Vettoriali in NumPy](#6-operazioni-vettoriali-in-numpy)
|
||||
7. [Best Practices e Pitfalls](#7-best-practices-e-pitfalls)
|
||||
|
||||
---
|
||||
|
||||
## 1. Introduzione: Il Problema delle Performance
|
||||
|
||||
### Il Tuo Sistema Originale (Funzionava Bene!)
|
||||
|
||||
```python
|
||||
# rats.py - Il tuo approccio originale
|
||||
def update_maze(self):
|
||||
# Popolava dizionari con le posizioni delle unità
|
||||
self.unit_positions = {}
|
||||
self.unit_positions_before = {}
|
||||
|
||||
for unit in self.units.values():
|
||||
unit.move()
|
||||
# Raggruppa unità per posizione
|
||||
self.unit_positions.setdefault(unit.position, []).append(unit)
|
||||
self.unit_positions_before.setdefault(unit.position_before, []).append(unit)
|
||||
|
||||
for unit in self.units.values():
|
||||
unit.collisions() # Ogni unità controlla le proprie collisioni
|
||||
```
|
||||
|
||||
### Il Problema con 200+ Unità
|
||||
|
||||
Con 5-10 topi: **funziona perfetto** ✅
|
||||
Con 200+ topi: **FPS crollano** ❌
|
||||
|
||||
**Perché?**
|
||||
- Ogni topo controlla collisioni con TUTTI gli altri topi
|
||||
- 200 topi = 200 × 200 = **40,000 controlli per frame!**
|
||||
- Complessità: **O(n²)** - cresce in modo quadratico
|
||||
|
||||
---
|
||||
|
||||
## 2. Cos'è NumPy e Perché Serve
|
||||
|
||||
### NumPy in 3 Parole
|
||||
**Array multidimensionali ottimizzati**
|
||||
|
||||
### Perché è Veloce?
|
||||
|
||||
```python
|
||||
# Python puro (lento ❌)
|
||||
distances = []
|
||||
for i in range(1000):
|
||||
for j in range(1000):
|
||||
dx = x[i] - y[j]
|
||||
dy = x[i] - y[j]
|
||||
distances.append((dx**2 + dy**2)**0.5)
|
||||
# Tempo: ~500ms con 1 milione di operazioni
|
||||
|
||||
# NumPy (veloce ✅)
|
||||
import numpy as np
|
||||
distances = np.sqrt((x[:, None] - y[None, :])**2 + (x[:, None] - y[None, :])**2)
|
||||
# Tempo: ~5ms - 100 volte più veloce!
|
||||
```
|
||||
|
||||
### Perché la Differenza?
|
||||
|
||||
1. **Codice C Compilato**: NumPy è scritto in C/C++, non Python interpretato
|
||||
2. **Operazioni Vettoriali**: Calcola migliaia di valori in parallelo
|
||||
3. **Memoria Contigua**: Dati organizzati efficientemente in RAM
|
||||
4. **CPU SIMD**: Usa istruzioni speciali della CPU per parallelismo hardware
|
||||
|
||||
---
|
||||
|
||||
## 3. Concetti Base di NumPy
|
||||
|
||||
### Array vs Liste Python
|
||||
|
||||
```python
|
||||
# Lista Python (flessibile ma lenta)
|
||||
lista = [1, 2, 3, 4, 5]
|
||||
lista.append("sei") # OK - tipi misti
|
||||
lista[0] = "uno" # OK - cambio tipo
|
||||
|
||||
# Array NumPy (veloce ma rigido)
|
||||
import numpy as np
|
||||
array = np.array([1, 2, 3, 4, 5])
|
||||
# array[0] = "uno" # ERRORE! Tipo fisso: int64
|
||||
```
|
||||
|
||||
**Regola**: NumPy sacrifica flessibilità per velocità
|
||||
|
||||
### Operazioni Elemento per Elemento
|
||||
|
||||
```python
|
||||
# Python puro
|
||||
lista_a = [1, 2, 3]
|
||||
lista_b = [4, 5, 6]
|
||||
risultato = []
|
||||
for a, b in zip(lista_a, lista_b):
|
||||
risultato.append(a + b)
|
||||
# risultato = [5, 7, 9]
|
||||
|
||||
# NumPy (broadcasting)
|
||||
array_a = np.array([1, 2, 3])
|
||||
array_b = np.array([4, 5, 6])
|
||||
risultato = array_a + array_b # [5, 7, 9] - automatico!
|
||||
```
|
||||
|
||||
### Broadcasting: Operazioni su Array di Dimensioni Diverse
|
||||
|
||||
```python
|
||||
# Esempio reale dal tuo gioco: calcolare distanze
|
||||
unit_positions = np.array([[10, 20], [30, 40], [50, 60]]) # 3 unità
|
||||
target = np.array([25, 35]) # 1 bersaglio
|
||||
|
||||
# Vogliamo: distanza di ogni unità dal bersaglio
|
||||
# Senza broadcasting (noioso):
|
||||
distances = []
|
||||
for pos in unit_positions:
|
||||
dx = pos[0] - target[0]
|
||||
dy = pos[1] - target[1]
|
||||
distances.append(np.sqrt(dx**2 + dy**2))
|
||||
|
||||
# Con broadcasting (elegante):
|
||||
diff = unit_positions - target # NumPy espande target automaticamente
|
||||
distances = np.sqrt((diff**2).sum(axis=1))
|
||||
# Output: [18.03, 7.07, 28.28]
|
||||
```
|
||||
|
||||
**Come funziona?**
|
||||
```
|
||||
unit_positions: [[10, 20], target: [25, 35]
|
||||
[30, 40],
|
||||
[50, 60]] Broadcasting lo espande a:
|
||||
[[25, 35],
|
||||
[25, 35],
|
||||
[25, 35]]
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 4. Dal Tuo Codice a NumPy: Caso Pratico
|
||||
|
||||
### Fase 1: Il Tuo Approccio con i Dizionari
|
||||
|
||||
```python
|
||||
# units/rat.py - Il tuo codice originale
|
||||
def collisions(self):
|
||||
# Prende unità nella stessa cella
|
||||
units_here = self.game.unit_positions.get(self.position, [])
|
||||
units_before = self.game.unit_positions_before.get(self.position_before, [])
|
||||
|
||||
# Controlla ogni unità
|
||||
for other_unit in units_here + units_before:
|
||||
if other_unit.id == self.id:
|
||||
continue
|
||||
|
||||
# Logica di collisione...
|
||||
if self.sex == other_unit.sex and self.fight:
|
||||
self.die(other_unit)
|
||||
elif self.sex != other_unit.sex:
|
||||
self.fuck(other_unit)
|
||||
```
|
||||
|
||||
**Pro del Tuo Approccio:**
|
||||
- ✅ Semplice e leggibile
|
||||
- ✅ Usa dizionari Python nativi
|
||||
- ✅ Funziona perfettamente con poche unità
|
||||
|
||||
**Problema con 200+ Unità:**
|
||||
- ❌ Ogni topo itera su liste di Python
|
||||
- ❌ Controlli ripetuti (topo A controlla B, poi B controlla A)
|
||||
- ❌ Nessuna ottimizzazione per distanze
|
||||
|
||||
### Fase 2: Spatial Hashing (L'Idea Geniale)
|
||||
|
||||
Prima di NumPy, serve un algoritmo migliore: **Spatial Hashing**
|
||||
|
||||
```python
|
||||
# Concetto: dividi il mondo in "celle" (griglia)
|
||||
# Ogni cella contiene solo le unità al suo interno
|
||||
|
||||
# Mondo di gioco:
|
||||
# 0 1 2 3
|
||||
# 0 [ ] [ ] [ ] [ ]
|
||||
# 1 [ ] [A] [B] [ ]
|
||||
# 2 [ ] [ ] [C] [ ]
|
||||
# 3 [ ] [ ] [ ] [ ]
|
||||
|
||||
# Dizionario spatial hash:
|
||||
spatial_grid = {
|
||||
(1, 1): [unit_A],
|
||||
(2, 1): [unit_B],
|
||||
(2, 2): [unit_C]
|
||||
}
|
||||
|
||||
# Quando unit_A cerca collisioni:
|
||||
# Controlla SOLO celle (1,1) e adiacenti (0,0), (0,1), (0,2), (1,0), (1,2), (2,0), (2,1), (2,2)
|
||||
# Non controlla unit_C a (2,2) - troppo lontano!
|
||||
```
|
||||
|
||||
**Vantaggio**: Da O(n²) a O(n)!
|
||||
- 200 unità: da 40,000 controlli a ~1,800 controlli (celle adiacenti)
|
||||
|
||||
### Fase 3: NumPy per Calcoli Massivi
|
||||
|
||||
```python
|
||||
# engine/collision_system.py - Il nuovo approccio
|
||||
|
||||
class CollisionSystem:
|
||||
def __init__(self, cell_size=32):
|
||||
# Pre-allocazione: prepara spazio per array NumPy
|
||||
self.unit_ids = np.zeros(100, dtype=np.int64) # Array di ID
|
||||
self.bboxes = np.zeros((100, 4), dtype=np.float32) # Array di bounding box
|
||||
self.positions = np.zeros((100, 2), dtype=np.int32) # Array di posizioni
|
||||
self.current_size = 0 # Quante unità registrate
|
||||
self.capacity = 100 # Capacità massima prima di resize
|
||||
```
|
||||
|
||||
**Perché Pre-allocazione?**
|
||||
```python
|
||||
# Cattivo: crescita lenta ❌
|
||||
array = np.array([])
|
||||
for i in range(1000):
|
||||
array = np.append(array, i) # Crea NUOVO array ogni volta!
|
||||
# Tempo: ~200ms
|
||||
|
||||
# Buono: pre-allocazione ✅
|
||||
array = np.zeros(1000)
|
||||
for i in range(1000):
|
||||
array[i] = i # Modifica array esistente
|
||||
# Tempo: ~2ms
|
||||
```
|
||||
|
||||
### Fase 4: Registrazione Unità
|
||||
|
||||
```python
|
||||
def register_unit(self, unit_id, bbox, position, position_before, collision_layer):
|
||||
"""Registra un'unità nel sistema di collisione"""
|
||||
|
||||
# Se array pieno, raddoppia capacità
|
||||
if self.current_size >= self.capacity:
|
||||
self._resize_arrays(self.capacity * 2)
|
||||
|
||||
idx = self.current_size
|
||||
|
||||
# Inserisci dati negli array NumPy
|
||||
self.unit_ids[idx] = unit_id
|
||||
self.bboxes[idx] = bbox # [x1, y1, x2, y2]
|
||||
self.positions[idx] = position
|
||||
self.position_before[idx] = position_before
|
||||
self.layers[idx] = collision_layer.value
|
||||
|
||||
# Spatial hashing: aggiungi a griglia
|
||||
cell = (position[0], position[1])
|
||||
self.spatial_grid[cell].append(idx) # Salva INDICE, non unità
|
||||
|
||||
self.current_size += 1
|
||||
```
|
||||
|
||||
**Nota Importante**: Salviamo **indici** negli array, non oggetti Python!
|
||||
- `spatial_grid[(5, 10)] = [0, 3, 7]` → Unità agli indici 0, 3, 7 degli array NumPy
|
||||
- Accesso veloce: `self.bboxes[0]`, `self.bboxes[3]`, `self.bboxes[7]`
|
||||
|
||||
### Fase 5: Collisioni Vettoriali con NumPy
|
||||
|
||||
```python
|
||||
def get_collisions_for_unit(self, unit_id, bbox, collision_layer):
|
||||
"""Trova tutte le collisioni per un'unità"""
|
||||
|
||||
# 1. Trova celle da controllare (spatial hashing)
|
||||
x, y = bbox[0] // self.cell_size, bbox[1] // self.cell_size
|
||||
cells_to_check = [
|
||||
(x-1, y-1), (x, y-1), (x+1, y-1),
|
||||
(x-1, y), (x, y), (x+1, y),
|
||||
(x-1, y+1), (x, y+1), (x+1, y+1)
|
||||
]
|
||||
|
||||
# 2. Raccogli candidati da celle adiacenti
|
||||
candidates = []
|
||||
for cell in cells_to_check:
|
||||
candidates.extend(self.spatial_grid.get(cell, []))
|
||||
|
||||
if len(candidates) < 10:
|
||||
# POCHI candidati: usa Python normale
|
||||
collisions = []
|
||||
for idx in candidates:
|
||||
if self.unit_ids[idx] == unit_id:
|
||||
continue
|
||||
if self._check_bbox_collision(bbox, self.bboxes[idx]):
|
||||
collisions.append((self.layers[idx], self.unit_ids[idx]))
|
||||
return collisions
|
||||
|
||||
else:
|
||||
# MOLTI candidati: USA NUMPY! ✨
|
||||
return self._vectorized_collision_check(unit_id, bbox, candidates)
|
||||
```
|
||||
|
||||
### Fase 6: La Magia di NumPy - Vectorized Collision Check
|
||||
|
||||
```python
|
||||
def _vectorized_collision_check(self, unit_id, bbox, candidate_indices):
|
||||
"""Controlla collisioni usando NumPy per massima velocità"""
|
||||
|
||||
# Converti candidati in array NumPy
|
||||
candidate_indices = np.array(candidate_indices, dtype=np.int32)
|
||||
|
||||
# Filtra l'unità stessa (non collidere con se stessi)
|
||||
mask = self.unit_ids[candidate_indices] != unit_id
|
||||
candidate_indices = candidate_indices[mask]
|
||||
|
||||
if len(candidate_indices) == 0:
|
||||
return []
|
||||
|
||||
# Estrai bounding box di TUTTI i candidati in un colpo solo
|
||||
candidate_bboxes = self.bboxes[candidate_indices] # Shape: (N, 4)
|
||||
# candidate_bboxes = [[x1, y1, x2, y2], # candidato 0
|
||||
# [x1, y1, x2, y2], # candidato 1
|
||||
# ...]
|
||||
|
||||
# Controllo collisione AABB (Axis-Aligned Bounding Box)
|
||||
# Due rettangoli collidono se:
|
||||
# - bbox.x1 < other.x2 AND
|
||||
# - bbox.x2 > other.x1 AND
|
||||
# - bbox.y1 < other.y2 AND
|
||||
# - bbox.y2 > other.y1
|
||||
|
||||
# NumPy calcola TUTTE le collisioni contemporaneamente! 🚀
|
||||
colliding_mask = (
|
||||
(bbox[0] < candidate_bboxes[:, 2]) & # bbox.x1 < others.x2
|
||||
(bbox[2] > candidate_bboxes[:, 0]) & # bbox.x2 > others.x1
|
||||
(bbox[1] < candidate_bboxes[:, 3]) & # bbox.y1 < others.y2
|
||||
(bbox[3] > candidate_bboxes[:, 1]) # bbox.y2 > others.y1
|
||||
)
|
||||
# colliding_mask = [True, False, True, False, True, ...]
|
||||
|
||||
# Filtra solo unità che collidono
|
||||
colliding_indices = candidate_indices[colliding_mask]
|
||||
|
||||
# Restituisci coppie (layer, unit_id)
|
||||
return list(zip(
|
||||
self.layers[colliding_indices],
|
||||
self.unit_ids[colliding_indices]
|
||||
))
|
||||
```
|
||||
|
||||
**Spiegazione Dettagliata del Codice NumPy:**
|
||||
|
||||
```python
|
||||
# Esempio concreto con 3 candidati
|
||||
bbox = [10, 20, 30, 40] # Nostro topo: x1=10, y1=20, x2=30, y2=40
|
||||
|
||||
candidate_bboxes = np.array([
|
||||
[5, 15, 25, 35], # Candidato 0
|
||||
[50, 60, 70, 80], # Candidato 1 (lontano)
|
||||
[15, 25, 35, 45] # Candidato 2
|
||||
])
|
||||
|
||||
# Controllo bbox[0] < candidate_bboxes[:, 2]
|
||||
# bbox[0] = 10
|
||||
# candidate_bboxes[:, 2] = [25, 70, 35] # Colonna x2 di tutti i candidati
|
||||
# 10 < [25, 70, 35] = [True, True, True]
|
||||
|
||||
# Controllo bbox[2] > candidate_bboxes[:, 0]
|
||||
# bbox[2] = 30
|
||||
# candidate_bboxes[:, 0] = [5, 50, 15] # Colonna x1
|
||||
# 30 > [5, 50, 15] = [True, False, True]
|
||||
|
||||
# ... altri controlli ...
|
||||
|
||||
# Combinazione finale (AND logico):
|
||||
colliding_mask = [True, False, True] # Solo 0 e 2 collidono!
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 5. Spatial Hashing: L'Algoritmo Intelligente
|
||||
|
||||
### Visualizzazione Pratica
|
||||
|
||||
```
|
||||
Mondo di gioco 640x480, cell_size=32
|
||||
|
||||
Griglia spaziale:
|
||||
0 1 2 3 4 5 ... 19
|
||||
┌────┬────┬────┬────┬────┬────┬────┬────┐
|
||||
0 │ │ │ │ │ │ │ │ │
|
||||
├────┼────┼────┼────┼────┼────┼────┼────┤
|
||||
1 │ │ R1 │ R2 │ │ │ │ │ │ R = Rat
|
||||
├────┼────┼────┼────┼────┼────┼────┼────┤ B = Bomb
|
||||
2 │ │ R3 │ B1 │ R4 │ │ │ │ │ M = Mine
|
||||
├────┼────┼────┼────┼────┼────┼────┼────┤
|
||||
3 │ │ │ M1 │ │ │ │ │ │
|
||||
└────┴────┴────┴────┴────┴────┴────┴────┘
|
||||
```
|
||||
|
||||
### Come Funziona il Lookup
|
||||
|
||||
```python
|
||||
# R1 cerca collisioni da cella (1, 1)
|
||||
def get_collisions_for_unit(self, unit_id, bbox):
|
||||
x, y = 1, 1 # Posizione R1
|
||||
|
||||
# Controlla 9 celle (3x3 centrato su R1):
|
||||
cells = [
|
||||
(0,0), (1,0), (2,0), # Riga sopra
|
||||
(0,1), (1,1), (2,1), # Riga centrale (include R1)
|
||||
(0,2), (1,2), (2,2) # Riga sotto
|
||||
]
|
||||
|
||||
# spatial_grid è un dizionario:
|
||||
# {
|
||||
# (1, 1): [idx_R1],
|
||||
# (2, 1): [idx_R2],
|
||||
# (1, 2): [idx_R3],
|
||||
# (2, 2): [idx_B1, idx_R4],
|
||||
# (2, 3): [idx_M1]
|
||||
# }
|
||||
|
||||
candidates = []
|
||||
for cell in cells:
|
||||
candidates.extend(self.spatial_grid.get(cell, []))
|
||||
|
||||
# candidates = [idx_R1, idx_R2, idx_R3, idx_B1, idx_R4]
|
||||
# NON include idx_M1 perché (2,3) è fuori dal range 3x3!
|
||||
```
|
||||
|
||||
### Benefici Misurabili
|
||||
|
||||
```python
|
||||
# SENZA spatial hashing (O(n²)):
|
||||
# 200 unità → 200 × 200 = 40,000 controlli
|
||||
|
||||
# CON spatial hashing (O(n)):
|
||||
# 200 unità, distribuite su 20×15=300 celle
|
||||
# Media 0.67 unità per cella
|
||||
# Ogni unità controlla 9 celle × 0.67 = ~6 candidati
|
||||
# 200 unità × 6 candidati = 1,200 controlli
|
||||
#
|
||||
# Miglioramento: 40,000 → 1,200 = 33x più veloce! 🚀
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 6. Operazioni Vettoriali in NumPy
|
||||
|
||||
### Broadcasting Avanzato: Esplosioni
|
||||
|
||||
```python
|
||||
def get_units_in_area(self, positions, layer_filter=None):
|
||||
"""Trova unità in un'area (es. esplosione bomba)"""
|
||||
|
||||
# positions: lista di posizioni esplose
|
||||
# es. [(10, 10), (10, 11), (11, 10), (11, 11)] # Esplosione 2x2
|
||||
|
||||
if self.current_size == 0:
|
||||
return []
|
||||
|
||||
# Converti in array NumPy
|
||||
area_positions = np.array(positions, dtype=np.int32) # Shape: (4, 2)
|
||||
|
||||
# Prendi posizioni di TUTTE le unità
|
||||
all_positions = self.positions[:self.current_size] # Shape: (N, 2)
|
||||
# es. all_positions = [[5, 5], [10, 10], [15, 15], [10, 11], ...]
|
||||
|
||||
# Broadcasting trick per confrontare OGNI posizione esplosione con OGNI unità
|
||||
# area_positions[:, None, :] → Shape: (4, 1, 2)
|
||||
# all_positions[None, :, :] → Shape: (1, N, 2)
|
||||
# Risultato → Shape: (4, N, 2) - tutte le combinazioni!
|
||||
|
||||
matches = (area_positions[:, None, :] == all_positions[None, :, :]).all(axis=2)
|
||||
# matches[i, j] = True se esplosione i colpisce unità j
|
||||
|
||||
# any(axis=0): almeno una posizione esplosione colpisce quella unità?
|
||||
unit_hit_mask = matches.any(axis=0) # Shape: (N,)
|
||||
|
||||
# Filtra per layer se richiesto
|
||||
if layer_filter:
|
||||
valid_layers = self.layers[:self.current_size] == layer_filter.value
|
||||
unit_hit_mask = unit_hit_mask & valid_layers
|
||||
|
||||
# Restituisci ID delle unità colpite
|
||||
hit_indices = np.where(unit_hit_mask)[0]
|
||||
return self.unit_ids[hit_indices].tolist()
|
||||
```
|
||||
|
||||
**Spiegazione con Esempio Concreto:**
|
||||
|
||||
```python
|
||||
# Bomba esplode creando 4 celle di fuoco
|
||||
area_positions = np.array([[10, 10], [10, 11], [11, 10], [11, 11]])
|
||||
|
||||
# Ci sono 3 topi nel gioco
|
||||
all_positions = np.array([[5, 5], [10, 10], [10, 11]])
|
||||
|
||||
# Broadcasting:
|
||||
area_positions[:, None, :].shape # (4, 1, 2)
|
||||
all_positions[None, :, :].shape # (1, 3, 2)
|
||||
|
||||
# Confronto elemento per elemento:
|
||||
matches = (area_positions[:, None, :] == all_positions[None, :, :]).all(axis=2)
|
||||
# matches = [
|
||||
# [False, False, False], # Esplosione (10,10) vs [(5,5), (10,10), (10,11)]
|
||||
# [False, True, False], # Esplosione (10,11) vs ...
|
||||
# [False, False, True ], # Esplosione (11,10) vs ...
|
||||
# [False, False, False] # Esplosione (11,11) vs ...
|
||||
# ]
|
||||
|
||||
# Collassa su asse 0 (almeno UNA esplosione colpisce?)
|
||||
unit_hit_mask = matches.any(axis=0) # [False, True, True]
|
||||
# Topo 0 (5,5): NON colpito
|
||||
# Topo 1 (10,10): COLPITO (da esplosione 0)
|
||||
# Topo 2 (10,11): COLPITO (da esplosione 1)
|
||||
```
|
||||
|
||||
### Calcolo Distanze Vettoriale
|
||||
|
||||
```python
|
||||
# Esempio: trovare tutti i topi entro raggio 50 pixel da una bomba
|
||||
|
||||
bomb_position = np.array([100, 100]) # Posizione bomba
|
||||
|
||||
# Posizioni di tutti i topi (array NumPy)
|
||||
rat_positions = self.positions[:self.current_size] # Shape: (N, 2)
|
||||
|
||||
# Calcolo distanze usando broadcasting
|
||||
diff = rat_positions - bomb_position # Shape: (N, 2)
|
||||
# diff[i] = [rat_x - bomb_x, rat_y - bomb_y]
|
||||
|
||||
distances = np.sqrt((diff ** 2).sum(axis=1)) # Shape: (N,)
|
||||
# distances[i] = sqrt((dx)^2 + (dy)^2)
|
||||
|
||||
# Trova topi entro raggio
|
||||
within_radius = distances < 50 # Boolean mask
|
||||
hit_rat_indices = np.where(within_radius)[0]
|
||||
|
||||
# Esempio output:
|
||||
# rat_positions = [[90, 90], [110, 110], [200, 200]]
|
||||
# diff = [[-10, -10], [10, 10], [100, 100]]
|
||||
# distances = [14.14, 14.14, 141.42]
|
||||
# within_radius = [True, True, False]
|
||||
# hit_rat_indices = [0, 1] # Primi due topi colpiti!
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 7. Best Practices e Pitfalls
|
||||
|
||||
### ✅ Quando Usare NumPy
|
||||
|
||||
```python
|
||||
# BUONO: Operazioni su molti dati
|
||||
positions = np.array([[...] for _ in range(1000)])
|
||||
distances = np.sqrt(((positions - target)**2).sum(axis=1))
|
||||
|
||||
# CATTIVO: Operazioni su pochi dati (overhead NumPy!)
|
||||
positions = np.array([[10, 20], [30, 40]]) # Solo 2 elementi
|
||||
distances = np.sqrt(((positions - target)**2).sum(axis=1))
|
||||
# Più lento di un semplice loop Python!
|
||||
```
|
||||
|
||||
**Regola nel tuo codice:**
|
||||
```python
|
||||
if len(candidates) < 10:
|
||||
# Usa Python normale
|
||||
for idx in candidates:
|
||||
...
|
||||
else:
|
||||
# Usa NumPy
|
||||
self._vectorized_collision_check(...)
|
||||
```
|
||||
|
||||
### ✅ Pre-allocazione vs Append
|
||||
|
||||
```python
|
||||
# CATTIVO ❌ (lento con array grandi)
|
||||
array = np.array([])
|
||||
for i in range(10000):
|
||||
array = np.append(array, i) # O(n) ad ogni append!
|
||||
|
||||
# BUONO ✅ (veloce)
|
||||
array = np.zeros(10000)
|
||||
for i in range(10000):
|
||||
array[i] = i # O(1) ad ogni assegnazione
|
||||
|
||||
# MIGLIORE ✅ (senza loop!)
|
||||
array = np.arange(10000) # Operazione vettoriale nativa
|
||||
```
|
||||
|
||||
### ✅ Memory Layout e Performance
|
||||
|
||||
```python
|
||||
# Row-major (C order) - default NumPy
|
||||
array = np.zeros((1000, 3), order='C')
|
||||
# Memoria: [x0, y0, z0, x1, y1, z1, ...]
|
||||
# Veloce per accesso righe: array[i, :]
|
||||
|
||||
# Column-major (Fortran order)
|
||||
array = np.zeros((1000, 3), order='F')
|
||||
# Memoria: [x0, x1, ..., y0, y1, ..., z0, z1, ...]
|
||||
# Veloce per accesso colonne: array[:, j]
|
||||
|
||||
# Nel tuo caso (posizioni):
|
||||
self.positions = np.zeros((100, 2)) # Row-major è perfetto
|
||||
# Accesso frequente: self.positions[idx] → [x, y] di un'unità
|
||||
```
|
||||
|
||||
### ⚠️ Pitfall Comuni
|
||||
|
||||
#### 1. Copy vs View
|
||||
|
||||
```python
|
||||
# View (condivide memoria)
|
||||
a = np.array([1, 2, 3])
|
||||
b = a[:] # b è una VIEW di a
|
||||
b[0] = 999
|
||||
print(a) # [999, 2, 3] - modificato anche a!
|
||||
|
||||
# Copy (memoria separata)
|
||||
a = np.array([1, 2, 3])
|
||||
b = a.copy()
|
||||
b[0] = 999
|
||||
print(a) # [1, 2, 3] - a è immutato
|
||||
```
|
||||
|
||||
**Nel tuo codice:**
|
||||
```python
|
||||
def get_collisions_for_unit(self, ...):
|
||||
# Filtriamo candidati
|
||||
candidate_indices = candidate_indices[mask] # Crea VIEW
|
||||
|
||||
# Se modifichi candidate_indices dopo, potresti modificare l'originale!
|
||||
# Soluzione: .copy() se necessario
|
||||
```
|
||||
|
||||
#### 2. Broadcasting Inatteso
|
||||
|
||||
```python
|
||||
a = np.array([1, 2, 3])
|
||||
b = np.array([[1], [2], [3]])
|
||||
|
||||
# Cosa succede?
|
||||
result = a + b
|
||||
# Broadcasting espande a:
|
||||
# [[1, 2, 3], [[1], [1], [1]] [[2, 3, 4],
|
||||
# [1, 2, 3], + [2], [2], [2]] = [3, 4, 5],
|
||||
# [1, 2, 3]] [3], [3], [3]] [4, 5, 6]]
|
||||
```
|
||||
|
||||
**Verifica sempre le shape:**
|
||||
```python
|
||||
print(f"Shape: {array.shape}") # Sempre prima di operazioni complesse!
|
||||
```
|
||||
|
||||
#### 3. Integer Overflow
|
||||
|
||||
```python
|
||||
# ATTENZIONE con dtype piccoli!
|
||||
a = np.array([250], dtype=np.uint8) # Max 255
|
||||
b = a + 10 # 260, ma uint8 wrap: diventa 4!
|
||||
|
||||
# Soluzione: usa dtype appropriati
|
||||
a = np.array([250], dtype=np.int32) # Max ~2 miliardi
|
||||
b = a + 10 # 260 ✅
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Confronto Finale: Prima vs Dopo
|
||||
|
||||
### Codice Originale (Il Tuo)
|
||||
|
||||
```python
|
||||
# rats.py
|
||||
def update_maze(self):
|
||||
self.unit_positions = {}
|
||||
self.unit_positions_before = {}
|
||||
|
||||
for unit in self.units.values():
|
||||
unit.move()
|
||||
self.unit_positions.setdefault(unit.position, []).append(unit)
|
||||
self.unit_positions_before.setdefault(unit.position_before, []).append(unit)
|
||||
|
||||
for unit in self.units.values():
|
||||
unit.collisions()
|
||||
|
||||
# units/rat.py
|
||||
def collisions(self):
|
||||
for other_unit in self.game.unit_positions.get(self.position, []):
|
||||
if other_unit.id == self.id:
|
||||
continue
|
||||
# Controlla collisione...
|
||||
```
|
||||
|
||||
**Complessità**: O(n²) nel caso peggiore
|
||||
**Performance**: ~50ms con 200 unità
|
||||
**Memoria**: Dizionari Python + liste di oggetti
|
||||
|
||||
### Codice Ottimizzato (NumPy)
|
||||
|
||||
```python
|
||||
# rats.py - 4-pass loop
|
||||
def update_maze(self):
|
||||
self.collision_system.clear()
|
||||
|
||||
# Pass 1: Pre-registra posizioni
|
||||
for unit in self.units.values():
|
||||
self.collision_system.register_unit(unit.id, unit.bbox, ...)
|
||||
|
||||
# Pass 2: Movimento
|
||||
for unit in self.units.values():
|
||||
unit.move()
|
||||
|
||||
# Pass 3: Ri-registra dopo movimento
|
||||
self.collision_system.clear()
|
||||
for unit in self.units.values():
|
||||
self.collision_system.register_unit(unit.id, unit.bbox, ...)
|
||||
|
||||
# Pass 4: Collisioni
|
||||
for unit in self.units.values():
|
||||
unit.collisions()
|
||||
|
||||
# units/rat.py
|
||||
def collisions(self):
|
||||
collisions = self.game.collision_system.get_collisions_for_unit(
|
||||
self.id, self.bbox, self.collision_layer
|
||||
)
|
||||
for _, other_id in collisions:
|
||||
other_unit = self.game.get_unit_by_id(other_id)
|
||||
if isinstance(other_unit, Rat):
|
||||
# Controlla collisione...
|
||||
```
|
||||
|
||||
**Complessità**: O(n) con spatial hashing + NumPy
|
||||
**Performance**: ~3ms con 250 unità (16x più veloce!)
|
||||
**Memoria**: Array NumPy pre-allocati (più efficiente)
|
||||
|
||||
---
|
||||
|
||||
## Conclusione
|
||||
|
||||
### Cosa Hai Imparato
|
||||
|
||||
1. **NumPy**: Array veloci per operazioni matematiche massive
|
||||
2. **Broadcasting**: Operazioni automatiche su array di dimensioni diverse
|
||||
3. **Spatial Hashing**: Ridurre O(n²) a O(n) con partizionamento spaziale
|
||||
4. **Vectorization**: Sostituire loop Python con operazioni NumPy parallele
|
||||
5. **Pre-allocazione**: Evitare allocazioni ripetute per velocità
|
||||
|
||||
### Quando Applicare Queste Tecniche
|
||||
|
||||
- ✅ **Usa NumPy quando**: Hai 50+ elementi da processare con operazioni matematiche
|
||||
- ✅ **Usa Spatial Hashing quando**: Controlli collisioni/prossimità in spazio 2D/3D
|
||||
- ✅ **Usa Vectorization quando**: Stesso calcolo ripetuto su molti dati
|
||||
- ❌ **Non usare quando**: Pochi elementi (< 10) o logica complessa non matematica
|
||||
|
||||
### Risorse per Approfondire
|
||||
|
||||
- **NumPy Documentation**: https://numpy.org/doc/stable/
|
||||
- **NumPy Quickstart**: https://numpy.org/doc/stable/user/quickstart.html
|
||||
- **Broadcasting**: https://numpy.org/doc/stable/user/basics.broadcasting.html
|
||||
- **Performance Tips**: https://numpy.org/doc/stable/user/c-info.performance.html
|
||||
|
||||
---
|
||||
|
||||
**Il tuo codice originale era ottimo per il caso d'uso iniziale.** L'ottimizzazione con NumPy è stata necessaria solo quando hai scalato a 200+ unità. Questo è un esempio perfetto di "ottimizza quando serve", non prematuramente! 🎯
|
||||
@@ -15,6 +15,17 @@ Mice! is a strategic game where players must kill rats with bombs before they re
|
||||
- **Scoring**: Points system to track player progress.
|
||||
- **Performance**: Optimized collision detection system supporting 200+ simultaneous units using NumPy vectorization.
|
||||
|
||||
## Utilities
|
||||
|
||||
### Microphone Visualizer
|
||||
|
||||
A small SDL2 microphone visualizer is available in `tools/mic_visualizer.py`.
|
||||
|
||||
- List capture devices: `python tools/mic_visualizer.py --list-devices`
|
||||
- Open the default microphone: `python tools/mic_visualizer.py`
|
||||
- Open a specific input: `python tools/mic_visualizer.py --device-index 1`
|
||||
- On muOS, use `mice_mic.sh` as a launcher in `ROMS/Ports` and it will run fullscreen with gamepad quit support.
|
||||
|
||||
## Engine Architecture
|
||||
|
||||
The Mice! game engine is built on a modular architecture designed for flexibility and maintainability. The engine follows a component-based design pattern where different systems handle specific aspects of the game.
|
||||
|
||||
@@ -1,308 +0,0 @@
|
||||
# Game Profile Manager
|
||||
|
||||
A PySDL2-based user profile management system designed for gamepad-only control with virtual keyboard input. This system allows players to create, edit, delete, and select user profiles for games using only gamepad inputs or directional keys, with no need for physical keyboard text input.
|
||||
|
||||
## Features
|
||||
|
||||
- **640x480 Resolution**: Optimized for retro gaming systems and handheld devices
|
||||
- **Create New Profiles**: Add new user profiles with custom names using virtual keyboard
|
||||
- **Profile Selection**: Browse and select active profiles
|
||||
- **Edit Settings**: Modify profile settings including difficulty, volume levels, and preferences
|
||||
- **Delete Profiles**: Remove unwanted profiles
|
||||
- **Gamepad/Directional Navigation**: Full control using only gamepad/joystick inputs or arrow keys
|
||||
- **Virtual Keyboard**: Text input using directional controls - no physical keyboard typing required
|
||||
- **JSON Storage**: Profiles stored in human-readable JSON format
|
||||
- **Persistent Settings**: All changes automatically saved
|
||||
|
||||
## Installation
|
||||
|
||||
### Requirements
|
||||
- Python 3.6+
|
||||
- PySDL2
|
||||
- SDL2 library
|
||||
|
||||
### Setup
|
||||
```bash
|
||||
# Install required Python packages
|
||||
pip install pysdl2
|
||||
|
||||
# For Ubuntu/Debian users, you may also need:
|
||||
sudo apt-get install libsdl2-dev libsdl2-ttf-dev
|
||||
|
||||
# Make launcher executable
|
||||
chmod +x launch_profile_manager.sh
|
||||
```
|
||||
|
||||
## Usage
|
||||
|
||||
### Running the Profile Manager
|
||||
```bash
|
||||
# Method 1: Use the launcher script
|
||||
./launch_profile_manager.sh
|
||||
|
||||
# Method 2: Run directly with Python
|
||||
python3 profile_manager.py
|
||||
```
|
||||
|
||||
### Gamepad Controls
|
||||
|
||||
#### Standard Gamepad Layout (Xbox/PlayStation compatible)
|
||||
- **D-Pad/Hat**: Navigate menus up/down/left/right, control virtual keyboard cursor
|
||||
- **Button 0 (A/X)**: Confirm selection, enter menus, select virtual keyboard characters
|
||||
- **Button 1 (B/Circle)**: Go back, cancel action
|
||||
- **Button 2 (X/Square)**: Delete profile, backspace in virtual keyboard
|
||||
- **Button 3 (Y/Triangle)**: Reserved for future features
|
||||
|
||||
#### Keyboard Controls (Alternative)
|
||||
- **Arrow Keys**: Navigate menus and virtual keyboard cursor
|
||||
- **Enter/Space**: Confirm selection, select virtual keyboard characters
|
||||
- **Escape**: Go back, cancel action
|
||||
- **Delete/Backspace**: Delete profile, backspace in virtual keyboard
|
||||
- **Tab**: Reserved for future features
|
||||
|
||||
#### Virtual Keyboard Text Input
|
||||
When creating or editing profile names:
|
||||
1. **Navigate**: Use D-Pad/Arrow Keys to move cursor over virtual keyboard
|
||||
2. **Select Character**: Press A/Enter to add character to profile name
|
||||
3. **Backspace**: Press X/Delete to remove last character
|
||||
4. **Complete**: Navigate to "DONE" and press A/Enter to finish input
|
||||
5. **Cancel**: Navigate to "CANCEL" and press A/Enter to abort
|
||||
|
||||
#### Navigation Flow
|
||||
1. **Main Menu**: Create Profile → Select Profile → Edit Settings → Exit
|
||||
2. **Profile List**: Choose from existing profiles, or go back
|
||||
3. **Create Profile**: Use virtual keyboard to enter name, confirm with directional controls
|
||||
4. **Edit Profile**: Adjust settings using left/right navigation
|
||||
|
||||
### Display Specifications
|
||||
- **Resolution**: 640x480 pixels (4:3 aspect ratio)
|
||||
- **Optimized for**: Retro gaming systems, handheld devices, embedded systems
|
||||
- **Font Scaling**: Adaptive font sizes for optimal readability at low resolution
|
||||
|
||||
### Profile Structure
|
||||
|
||||
Profiles are stored in `user_profiles.json` with the following structure:
|
||||
|
||||
```json
|
||||
{
|
||||
"profiles": {
|
||||
"PlayerName": {
|
||||
"name": "PlayerName",
|
||||
"created_date": "2024-01-15T10:30:00",
|
||||
"last_played": "2024-01-20T14:45:00",
|
||||
"games_played": 25,
|
||||
"total_score": 15420,
|
||||
"best_score": 980,
|
||||
"settings": {
|
||||
"difficulty": "normal",
|
||||
"sound_volume": 75,
|
||||
"music_volume": 60,
|
||||
"screen_shake": true,
|
||||
"auto_save": true
|
||||
},
|
||||
"achievements": [
|
||||
"first_win",
|
||||
"score_500"
|
||||
]
|
||||
}
|
||||
},
|
||||
"active_profile": "PlayerName"
|
||||
}
|
||||
```
|
||||
|
||||
## Integration with Games
|
||||
|
||||
### Loading Active Profile
|
||||
```python
|
||||
import json
|
||||
|
||||
def load_active_profile():
|
||||
try:
|
||||
with open('user_profiles.json', 'r') as f:
|
||||
data = json.load(f)
|
||||
active_name = data.get('active_profile')
|
||||
if active_name and active_name in data['profiles']:
|
||||
return data['profiles'][active_name]
|
||||
except (FileNotFoundError, json.JSONDecodeError):
|
||||
pass
|
||||
return None
|
||||
|
||||
# Usage in your game
|
||||
profile = load_active_profile()
|
||||
if profile:
|
||||
difficulty = profile['settings']['difficulty']
|
||||
sound_volume = profile['settings']['sound_volume']
|
||||
```
|
||||
|
||||
### Updating Profile Stats
|
||||
```python
|
||||
def update_profile_stats(score, game_completed=True):
|
||||
try:
|
||||
with open('user_profiles.json', 'r') as f:
|
||||
data = json.load(f)
|
||||
|
||||
active_name = data.get('active_profile')
|
||||
if active_name and active_name in data['profiles']:
|
||||
profile = data['profiles'][active_name]
|
||||
|
||||
if game_completed:
|
||||
profile['games_played'] += 1
|
||||
profile['total_score'] += score
|
||||
profile['best_score'] = max(profile['best_score'], score)
|
||||
profile['last_played'] = datetime.now().isoformat()
|
||||
|
||||
with open('user_profiles.json', 'w') as f:
|
||||
json.dump(data, f, indent=2)
|
||||
except Exception as e:
|
||||
print(f"Error updating profile: {e}")
|
||||
```
|
||||
|
||||
## Customization
|
||||
|
||||
### Adding New Settings
|
||||
Edit the `UserProfile` dataclass and the settings adjustment methods:
|
||||
|
||||
```python
|
||||
# In profile_manager.py, modify the UserProfile.__post_init__ method
|
||||
def __post_init__(self):
|
||||
if self.settings is None:
|
||||
self.settings = {
|
||||
"difficulty": "normal",
|
||||
"sound_volume": 50,
|
||||
"music_volume": 50,
|
||||
"screen_shake": True,
|
||||
"auto_save": True,
|
||||
"your_new_setting": "default_value" # Add here
|
||||
}
|
||||
```
|
||||
|
||||
### Custom Font
|
||||
Place your font file in the `assets/` directory and update the font path:
|
||||
```python
|
||||
font_path = "assets/your_font.ttf"
|
||||
```
|
||||
|
||||
### Screen Resolution
|
||||
The application is optimized for 640x480 resolution. To change resolution, modify the window size in the init_sdl method:
|
||||
```python
|
||||
self.window = sdl2.ext.Window(
|
||||
title="Profile Manager",
|
||||
size=(your_width, your_height) # Change from (640, 480)
|
||||
)
|
||||
```
|
||||
|
||||
### Virtual Keyboard Layout
|
||||
Customize the virtual keyboard characters by modifying the keyboard_chars list:
|
||||
```python
|
||||
self.keyboard_chars = [
|
||||
['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J'],
|
||||
['K', 'L', 'M', 'N', 'O', 'P', 'Q', 'R', 'S', 'T'],
|
||||
['U', 'V', 'W', 'X', 'Y', 'Z', '1', '2', '3', '4'],
|
||||
['5', '6', '7', '8', '9', '0', '_', '-', ' ', '<'],
|
||||
['DONE', 'CANCEL', '', '', '', '', '', '', '', '']
|
||||
]
|
||||
```
|
||||
|
||||
## Troubleshooting
|
||||
|
||||
### No Gamepad Detected
|
||||
- Ensure your gamepad is connected before starting the application
|
||||
- Try different USB ports
|
||||
- Check if your gamepad is recognized by your system
|
||||
- The application will show "No gamepad detected - using keyboard fallback"
|
||||
- Virtual keyboard works with both gamepad and keyboard controls
|
||||
|
||||
### Font Issues
|
||||
- Ensure the font file exists in the assets directory
|
||||
- The system will fall back to default font if custom font is not found
|
||||
- Supported font formats: TTF, OTF
|
||||
- Font sizes are automatically scaled for 640x480 resolution
|
||||
|
||||
### Virtual Keyboard Not Responding
|
||||
- Ensure you're in text input mode (creating/editing profile names)
|
||||
- Use arrow keys or D-Pad to navigate the virtual keyboard cursor
|
||||
- Press Enter/A button to select characters
|
||||
- The virtual keyboard cursor should be visible as a highlighted character
|
||||
|
||||
### Profile Not Saving
|
||||
- Check file permissions in the application directory
|
||||
- Ensure sufficient disk space
|
||||
- Verify JSON format is not corrupted
|
||||
|
||||
### Resolution Issues
|
||||
- The application is designed for 640x480 resolution
|
||||
- On higher resolution displays, the window may appear small
|
||||
- This is intentional for compatibility with retro gaming systems
|
||||
- Content is optimized and readable at this resolution
|
||||
|
||||
## File Structure
|
||||
```
|
||||
project_directory/
|
||||
├── profile_manager.py # Main application (640x480, virtual keyboard)
|
||||
├── launch_profile_manager.sh # Launcher script
|
||||
├── user_profiles.json # Profile data storage
|
||||
├── test_profile_manager.py # Test suite for core functions
|
||||
├── game_profile_integration.py # Example game integration
|
||||
├── assets/
|
||||
│ └── decterm.ttf # Font file (optional)
|
||||
└── README_PROFILE_MANAGER.md # This documentation
|
||||
```
|
||||
|
||||
## Development Notes
|
||||
|
||||
### Virtual Keyboard Implementation
|
||||
The virtual keyboard is implemented as a 2D grid of characters:
|
||||
- Cursor position tracked with (keyboard_cursor_x, keyboard_cursor_y)
|
||||
- Character selection adds to input_text string
|
||||
- Special functions: DONE (confirm), CANCEL (abort), < (backspace)
|
||||
- Fully navigable with directional controls only
|
||||
|
||||
### Screen Layout for 640x480
|
||||
- Header area: 0-80px (titles, status)
|
||||
- Content area: 80-400px (main UI elements)
|
||||
- Controls area: 400-480px (help text, instructions)
|
||||
- All elements scaled and positioned for optimal readability
|
||||
|
||||
### Adding New Screens
|
||||
1. Add screen name to `current_screen` handling
|
||||
2. Create render method (e.g., `render_new_screen()`)
|
||||
3. Add navigation logic in input handlers
|
||||
4. Update screen transitions in confirm/back handlers
|
||||
|
||||
### Gamepad Button Mapping
|
||||
The application uses SDL2's joystick interface. Button numbers may vary by controller:
|
||||
- Most modern controllers follow the Xbox layout
|
||||
- PlayStation controllers map similarly but may have different button numbers
|
||||
- Test with your specific controller and adjust mappings if needed
|
||||
|
||||
### Performance Considerations
|
||||
- Rendering is capped at 60 FPS for smooth operation
|
||||
- Input debouncing prevents accidental rapid inputs
|
||||
- JSON operations are minimized and occur only when necessary
|
||||
- Virtual keyboard rendering optimized for 640x480 resolution
|
||||
- Font scaling automatically adjusted for readability
|
||||
|
||||
### Adding Support for Different Resolutions
|
||||
To support different screen resolutions, modify these key areas:
|
||||
1. Window initialization in `init_sdl()`
|
||||
2. Panel and button positioning in render methods
|
||||
3. Font size scaling factors
|
||||
4. Virtual keyboard grid positioning
|
||||
|
||||
### Gamepad Integration Notes
|
||||
- Uses SDL2's joystick interface for maximum compatibility
|
||||
- Button mapping follows standard Xbox controller layout
|
||||
- Hat/D-Pad input prioritized over analog sticks for precision
|
||||
- Input timing designed for responsive but not accidental activation
|
||||
|
||||
## Target Platforms
|
||||
|
||||
This profile manager is specifically designed for:
|
||||
- **Handheld Gaming Devices**: Steam Deck, ROG Ally, etc.
|
||||
- **Retro Gaming Systems**: RetroPie, Batocera, etc.
|
||||
- **Embedded Gaming Systems**: Custom arcade cabinets, portable devices
|
||||
- **Low-Resolution Displays**: 640x480, 800x600, and similar resolutions
|
||||
- **Gamepad-Only Environments**: Systems without keyboard access
|
||||
|
||||
## License
|
||||
This profile manager is provided as-is for educational and personal use. Designed for integration with retro and handheld gaming systems.
|
||||
@@ -1,419 +0,0 @@
|
||||
# regenerate_background() Analysis And Refactor Plan
|
||||
|
||||
## Scope
|
||||
|
||||
This document analyzes `Graphics.regenerate_background()` and proposes a staged refactor plan.
|
||||
|
||||
Relevant code paths:
|
||||
|
||||
- `engine/graphics.py#L146` `draw_maze()` lazily triggers background generation.
|
||||
- `engine/graphics.py#L155` `draw_cave_foreground()` consumes cave overlay metadata produced during regeneration.
|
||||
- `engine/graphics.py#L175` `regenerate_background()` builds the static background texture and cave overlay placements.
|
||||
- `engine/graphics.py#L311` `add_blood_stain()` confirms that blood is intentionally excluded from the background texture and rendered as a separate overlay.
|
||||
- `engine/sdl2.py#L98` `create_texture()` composites surface tiles into one SDL texture.
|
||||
- `engine/sdl2.py#L118` `load_image()` explains why the code keeps both surfaces and textures for the same themed assets.
|
||||
- `engine/maze.py#L13-L15` define `MAP_EMPTY`, `MAP_WALL`, and `MAP_TUNNEL`.
|
||||
- `rats.py#L79`, `rats.py#L117-L121`, and `rats.py#L163-L165` show where background state is invalidated.
|
||||
- `rats.py#L335` shows cave foreground rendering happens after the background draw and before units are drawn.
|
||||
|
||||
## What The Method Actually Does
|
||||
|
||||
`regenerate_background()` is doing more than the name suggests. It is not only “regenerating a background”; it is handling five separate concerns in one place:
|
||||
|
||||
1. It walks the logical map cell by cell.
|
||||
2. It analyzes neighborhood topology around each wall or tunnel cell.
|
||||
3. It chooses visual variants, including random grass and flower decoration.
|
||||
4. It builds cave foreground overlay metadata for later explosion-aware rendering.
|
||||
5. It commits the accumulated surfaces into a single SDL background texture.
|
||||
|
||||
That makes it both a planner and a renderer.
|
||||
|
||||
## Current Inputs, Outputs, And Side Effects
|
||||
|
||||
### Inputs read from `self`
|
||||
|
||||
- `self.map.tiles`, `self.map.width`, `self.map.height`
|
||||
- `self.cell_size`
|
||||
- `self.grasses`, `self.grass_textures`
|
||||
- `self.flowers`, `self.flower_textures`
|
||||
- `self.edges`, `self.corners`, `self.inner_corners`
|
||||
- `self.caves`
|
||||
- `self.render_engine`
|
||||
|
||||
### Derived helpers inside the method
|
||||
|
||||
- `occupied(x, y)` treats every non-empty cell as occupied, so both walls and tunnels count as solid neighbors for topology decisions.
|
||||
- `is_tunnel(x, y)` is used only for the flower suppression logic in the bottom-right quadrant.
|
||||
- `draw(...)` appends background surface tiles.
|
||||
- `draw_cave(...)` appends cave overlay tuples in the format consumed later by `draw_cave_foreground()`.
|
||||
- `random_wall()`, `random_wall_texture()`, `random_flower()`, `random_flower_texture()` embed random selection directly in the traversal logic.
|
||||
|
||||
### Outputs and side effects
|
||||
|
||||
- Resets `self.cave_foreground_tiles`
|
||||
- Builds a local `texture_tiles` list
|
||||
- Sets `self.background_texture`
|
||||
- Does not return a value
|
||||
|
||||
This means the method is hard to test in isolation because the real output is split across mutable instance state and SDL object creation.
|
||||
|
||||
## Functional Walkthrough
|
||||
|
||||
### 1. Initialization
|
||||
|
||||
The method creates:
|
||||
|
||||
- `texture_tiles`: a list of `(surface, x, y)` tuples for the static background
|
||||
- `self.cave_foreground_tiles`: a list of `(cell_x, cell_y, direction, surface, x, y)` tuples for overlay rendering
|
||||
- `half_cell`: used to place quarter-cell tiles at 20 px offsets when `cell_size` is 40
|
||||
|
||||
This immediately shows a hidden design choice: one map cell can emit up to four quarter tiles rather than a single full-tile sprite.
|
||||
|
||||
### 2. Cell iteration
|
||||
|
||||
The outer loop traverses every cell of `self.map.tiles`.
|
||||
|
||||
- `MAP_EMPTY`: skipped completely
|
||||
- `MAP_WALL`: potentially emits several quarter tiles
|
||||
- `MAP_TUNNEL`: emits cave overlays and sometimes grass filler tiles
|
||||
|
||||
### 3. Wall rendering logic
|
||||
|
||||
For `MAP_WALL`, the method evaluates the four quadrants independently.
|
||||
|
||||
#### Top-left quadrant
|
||||
|
||||
If the north-west corner is exposed, it chooses among:
|
||||
|
||||
- `inner_corners["WN"]`
|
||||
- `edges["W"]`
|
||||
- `edges["N"]`
|
||||
- `corners["NW"]`
|
||||
|
||||
based on whether the north and west neighbors are occupied.
|
||||
|
||||
#### Bottom-right quadrant
|
||||
|
||||
This is the densest branch. It checks south, east, and south-east occupancy.
|
||||
|
||||
- If all three are occupied, it usually draws a random grass tile.
|
||||
- With a 10% chance, it draws a flower instead, but only if the cell is not near the border and none of the neighboring cells involved are tunnels.
|
||||
- If only south or east are occupied, it chooses `inner_corners["ES"]`, `edges["E"]`, or `edges["S"]`.
|
||||
- Otherwise it uses `corners["SE"]`.
|
||||
|
||||
This branch mixes topology, decoration policy, border constraints, and tunnel suppression all in one nested block.
|
||||
|
||||
#### Top-right quadrant
|
||||
|
||||
Mirrors the top-left logic using north and east occupancy:
|
||||
|
||||
- `inner_corners["EN"]`
|
||||
- `edges["E"]`
|
||||
- `edges["N"]`
|
||||
- `corners["NE"]`
|
||||
|
||||
#### Bottom-left quadrant
|
||||
|
||||
Mirrors the same pattern using south and west occupancy:
|
||||
|
||||
- `inner_corners["WS"]`
|
||||
- `edges["W"]`
|
||||
- `edges["S"]`
|
||||
- `corners["SW"]`
|
||||
|
||||
### 4. Tunnel rendering logic
|
||||
|
||||
For `MAP_TUNNEL`, the method checks `above`, `below`, `left`, and `right` occupancy and chooses cave overlay sprites.
|
||||
|
||||
Observed behavior:
|
||||
|
||||
- If there is no occupied tile above, it always draws a grass filler in the bottom-right quarter and uses the `UP` cave sprite.
|
||||
- If there is an occupied tile above but not below, it uses the `DOWN` cave sprite.
|
||||
- If both above and below are occupied and the left side is blocked, it may use a full-quarter wall/flower texture in the cave list.
|
||||
- If both above and below are occupied and the left side is open, it draws a grass filler plus the `LEFT` cave sprite.
|
||||
- If above and below are occupied, left is blocked, and right is open, it uses the `RIGHT` cave sprite.
|
||||
|
||||
This logic appears tuned to the current level topology and asset set rather than representing a complete, explicit rule system for all tunnel neighbor combinations.
|
||||
|
||||
### 5. Commit phase
|
||||
|
||||
After traversal, the method calls `render_engine.create_texture(texture_tiles, fill_color=(128, 128, 128))` to compose one static SDL texture for the entire maze background.
|
||||
|
||||
This is the correct optimization boundary for the current architecture, but it also means SDL concerns leak directly into the generation logic.
|
||||
|
||||
## Why The Method Feels Complex
|
||||
|
||||
The complexity is not only “too many lines”. It comes from multiple kinds of coupling.
|
||||
|
||||
### 1. Mixed responsibilities
|
||||
|
||||
The method mixes:
|
||||
|
||||
- map analysis
|
||||
- rule selection
|
||||
- random decoration
|
||||
- cave overlay planning
|
||||
- final rendering commit
|
||||
|
||||
Each of these changes for different reasons, so they should not live in the same function.
|
||||
|
||||
### 2. Repeated neighborhood queries
|
||||
|
||||
Neighbor checks like `occupied(x, y - 1)` and `occupied(x + 1, y)` are recomputed many times, often inside overlapping branches. That makes the code noisy and increases the chance of introducing asymmetric bugs during edits.
|
||||
|
||||
### 3. Hidden representation mismatch
|
||||
|
||||
Background composition uses SDL surfaces, while cave overlays use textures. That is why the code has parallel helpers like `random_wall()` and `random_wall_texture()`. The behavior is valid, but the representation split is leaking into every branch.
|
||||
|
||||
### 4. Randomness is embedded in rule logic
|
||||
|
||||
The function directly calls global `random` during traversal. That makes visual behavior hard to snapshot-test or compare before and after a refactor.
|
||||
|
||||
### 5. Side effects are scattered across the class lifecycle
|
||||
|
||||
Invalidation is controlled elsewhere in `rats.py`, where the code manually clears:
|
||||
|
||||
- `self.background_texture`
|
||||
- `self.blood_layer_sprites`
|
||||
- `self.cave_foreground_tiles`
|
||||
|
||||
This is correct today, but it creates a fragile contract between game flow code and rendering code.
|
||||
|
||||
### 6. Tunnel rules are implicit
|
||||
|
||||
The tunnel branch contains nested assumptions that are hard to verify by inspection. It is not obvious whether the logic is exhaustive, map-specific, or intentionally asymmetric.
|
||||
|
||||
## Important Invariants To Preserve
|
||||
|
||||
Any refactor must keep these behaviors unless you explicitly choose to change them:
|
||||
|
||||
1. Blood stains remain outside the static background texture.
|
||||
2. `draw_cave_foreground()` must still be able to swap cave sprites for explosion sprites at runtime.
|
||||
3. Quarter-tile placement and offsets must remain visually identical.
|
||||
4. Random flower placement must preserve the current frequency and tunnel/border exclusions, or the change must be documented as a visual redesign.
|
||||
5. Theme asset selection must keep using surfaces for background composition and textures for runtime overlays unless the render-engine API changes.
|
||||
|
||||
## Refactor Goals
|
||||
|
||||
The target should be:
|
||||
|
||||
- easier to read
|
||||
- behaviorally stable
|
||||
- testable without SDL
|
||||
- explicit about map-topology rules
|
||||
- easy to extend with new wall or tunnel tile rules
|
||||
|
||||
## Recommended Refactor Direction
|
||||
|
||||
The safest path is not a full rewrite. It is a staged extraction toward a pure planning layer.
|
||||
|
||||
### Stage 1: Name The Concepts
|
||||
|
||||
Extract small private helpers without changing data structures yet.
|
||||
|
||||
Suggested helpers:
|
||||
|
||||
- `_is_occupied(x, y)`
|
||||
- `_is_tunnel(x, y)`
|
||||
- `_make_cell_context(x, y)`
|
||||
- `_append_background_tile(surface, x, y, texture_tiles)`
|
||||
- `_append_cave_tile(surface, x, y, direction)`
|
||||
- `_choose_wall_fill(x, y, allow_flower)`
|
||||
|
||||
This alone will remove repeated neighbor reads and make the current logic easier to reason about.
|
||||
|
||||
### Stage 2: Introduce A Pure Planning Model
|
||||
|
||||
Create lightweight data containers, for example:
|
||||
|
||||
```python
|
||||
from dataclasses import dataclass
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class TilePlacement:
|
||||
surface: object
|
||||
x: int
|
||||
y: int
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class CavePlacement:
|
||||
cell_x: int
|
||||
cell_y: int
|
||||
direction: str | None
|
||||
sprite: object
|
||||
x: int
|
||||
y: int
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class CellContext:
|
||||
x: int
|
||||
y: int
|
||||
cell: int
|
||||
north: bool
|
||||
south: bool
|
||||
east: bool
|
||||
west: bool
|
||||
north_west: bool
|
||||
north_east: bool
|
||||
south_west: bool
|
||||
south_east: bool
|
||||
```
|
||||
|
||||
Then split the method into:
|
||||
|
||||
- `_build_background_plan()`
|
||||
- `_plan_wall_cell(context, plan)`
|
||||
- `_plan_tunnel_cell(context, plan)`
|
||||
- `_commit_background_plan(plan)`
|
||||
|
||||
The important shift is this: planning should produce plain Python data first, and SDL texture creation should happen only in the commit step.
|
||||
|
||||
### Stage 3: Replace Nested Branches With Rule Helpers
|
||||
|
||||
The wall logic is currently “four quadrants, each with a small rule tree”. Keep that structure, but make it explicit.
|
||||
|
||||
Suggested helpers:
|
||||
|
||||
- `_plan_wall_nw(context, px, py, plan)`
|
||||
- `_plan_wall_ne(context, px, py, half_cell, plan)`
|
||||
- `_plan_wall_sw(context, px, py, half_cell, plan)`
|
||||
- `_plan_wall_se(context, px, py, half_cell, plan)`
|
||||
|
||||
This sounds verbose, but it is much easier to review because each helper owns one visual quadrant and one set of rules.
|
||||
|
||||
### Stage 4: Isolate Decoration Policy
|
||||
|
||||
The flower rule is currently buried inside the `SE` branch. Extract it into a dedicated function such as:
|
||||
|
||||
```python
|
||||
def _should_place_flower(self, x, y, context) -> bool:
|
||||
...
|
||||
```
|
||||
|
||||
That function should own:
|
||||
|
||||
- the 10% probability
|
||||
- border exclusions
|
||||
- tunnel exclusions
|
||||
|
||||
This makes visual tuning possible without reopening the topology logic.
|
||||
|
||||
### Stage 5: Make Tunnel Rules Explicit
|
||||
|
||||
Tunnel behavior needs a named rule function with documented cases.
|
||||
|
||||
For example:
|
||||
|
||||
- `_classify_tunnel(context) -> TunnelPattern`
|
||||
- `_plan_tunnel_pattern(pattern, px, py, plan)`
|
||||
|
||||
Even if the final logic stays the same, naming the tunnel patterns will expose whether the code is intentionally map-specific or accidentally incomplete.
|
||||
|
||||
### Stage 6: Centralize Invalidation
|
||||
|
||||
Introduce one method such as:
|
||||
|
||||
```python
|
||||
def invalidate_background(self):
|
||||
self.background_texture = None
|
||||
self.cave_foreground_tiles.clear()
|
||||
```
|
||||
|
||||
Then use that method from lifecycle points in `rats.py`.
|
||||
|
||||
This reduces the chance of future bugs where one part of the cached rendering state is reset and another is forgotten.
|
||||
|
||||
## Suggested Final Shape
|
||||
|
||||
The long-term shape can stay inside `Graphics` and still be much cleaner:
|
||||
|
||||
```python
|
||||
def regenerate_background(self):
|
||||
plan = self._build_background_plan()
|
||||
self._commit_background_plan(plan)
|
||||
|
||||
def _build_background_plan(self):
|
||||
...
|
||||
|
||||
def _plan_wall_cell(self, context, plan):
|
||||
...
|
||||
|
||||
def _plan_tunnel_cell(self, context, plan):
|
||||
...
|
||||
|
||||
def _commit_background_plan(self, plan):
|
||||
self.cave_foreground_tiles = plan.cave_tiles
|
||||
self.background_texture = self.render_engine.create_texture(
|
||||
plan.background_tiles,
|
||||
fill_color=(128, 128, 128),
|
||||
)
|
||||
```
|
||||
|
||||
This would preserve the current class boundaries while making the core algorithm testable.
|
||||
|
||||
## Test Strategy Before Refactoring
|
||||
|
||||
Because the function is visual and randomized, refactoring without a guardrail is risky.
|
||||
|
||||
Recommended safety steps:
|
||||
|
||||
1. Introduce a seeded RNG path so map generation can be deterministic during tests.
|
||||
2. Add a small test map fixture that exercises walls, corners, borders, and tunnels.
|
||||
3. Snapshot the produced tile plan, not the SDL texture object.
|
||||
4. Verify cave overlay tuples are identical before and after the extraction.
|
||||
5. Add a smoke test for `draw_cave_foreground()` with an explosion unit to ensure cave sprite replacement still works.
|
||||
|
||||
## Proposed Implementation Order
|
||||
|
||||
### Phase 0: Freeze Current Behavior
|
||||
|
||||
- Add a deterministic RNG entry point or injectable random source.
|
||||
- Capture the current background plan for one or two representative maps.
|
||||
|
||||
### Phase 1: Extract Context And Emit Helpers
|
||||
|
||||
- Remove repeated `occupied(...)` calls.
|
||||
- Keep current tuple outputs and current SDL commit behavior.
|
||||
|
||||
### Phase 2: Split Wall And Tunnel Planning
|
||||
|
||||
- Move wall rules into quadrant helpers.
|
||||
- Move tunnel rules into a dedicated planner.
|
||||
|
||||
### Phase 3: Introduce A `BackgroundPlan`
|
||||
|
||||
- Return plain data from planning.
|
||||
- Keep SDL texture creation in one place.
|
||||
|
||||
### Phase 4: Centralize Cache Invalidation
|
||||
|
||||
- Replace direct state resets with a single background invalidation method.
|
||||
|
||||
### Phase 5: Optional Optimization Pass
|
||||
|
||||
- Consider caching immutable plans by `(level_index, theme_index)` if needed.
|
||||
- Consider precomputing per-cell contexts if profiling shows the planner is still hot.
|
||||
|
||||
## Refactor Risks And Questions
|
||||
|
||||
These should be clarified before implementation:
|
||||
|
||||
1. Are tunnel patterns guaranteed by the level data, or should the code become exhaustive for arbitrary maps?
|
||||
2. Is `occupied()` intentionally treating tunnels as “solid” for wall topology, or is that only a rendering shortcut?
|
||||
3. Is the flower placement rule part of the visual identity, or can it be simplified?
|
||||
4. Do we want to keep both surfaces and textures in the theme cache, or would a render-engine API change be acceptable later?
|
||||
|
||||
## Recommended First Refactor PR
|
||||
|
||||
The lowest-risk first PR would do only this:
|
||||
|
||||
1. Extract `CellContext` creation.
|
||||
2. Extract the four wall-quadrant planners.
|
||||
3. Extract tunnel planning into one helper.
|
||||
4. Leave the tuple formats and SDL commit step unchanged.
|
||||
|
||||
That PR would reduce complexity sharply while keeping the visual output almost certainly identical.
|
||||
|
||||
## Summary
|
||||
|
||||
`regenerate_background()` is complex because it is simultaneously a topology analyzer, decoration policy engine, cave overlay planner, and SDL background composer. The safest refactor is to separate planning from rendering, then isolate wall rules, tunnel rules, and decoration policy into named helpers with deterministic test coverage.
|
||||
@@ -1,466 +0,0 @@
|
||||
# Analisi Performance Rendering SDL2 - Mice!
|
||||
|
||||
## Sommario Esecutivo
|
||||
|
||||
Il sistema di rendering presenta **diverse criticità** che possono causare cali di FPS con molte unità (200+). Ho identificato 7 problemi principali e relative soluzioni.
|
||||
|
||||
---
|
||||
|
||||
## 🔴 CRITICITÀ IDENTIFICATE
|
||||
|
||||
### 1. **Controllo Visibilità Inefficiente** ⚠️ ALTA PRIORITÀ
|
||||
|
||||
**Problema:**
|
||||
```python
|
||||
def is_in_visible_area(self, x, y):
|
||||
return (-self.w_offset - self.cell_size <= x <= self.width - self.w_offset and
|
||||
-self.h_offset - self.cell_size <= y <= self.height - self.h_offset)
|
||||
```
|
||||
|
||||
Ogni `draw_image()` chiama `is_in_visible_area()` che fa **4 confronti** per ogni sprite.
|
||||
|
||||
**Impatto con 250 unità:**
|
||||
- 250 unità × 4 confronti = **1000 operazioni per frame**
|
||||
- Molte unità potrebbero essere fuori schermo ma vengono controllate comunque
|
||||
|
||||
**Soluzione:**
|
||||
```python
|
||||
# Opzione A: Culling a livello di game loop (CONSIGLIATA)
|
||||
# Filtra unità PRIMA del draw usando spatial grid
|
||||
visible_cells = get_visible_cells(w_offset, h_offset, viewport_width, viewport_height)
|
||||
for unit in units:
|
||||
if unit.position in visible_cells or unit.position_before in visible_cells:
|
||||
unit.draw()
|
||||
|
||||
# Opzione B: Cache dei bounds
|
||||
class GameWindow:
|
||||
def update_viewport_bounds(self):
|
||||
self.visible_x_min = -self.w_offset - self.cell_size
|
||||
self.visible_x_max = self.width - self.w_offset
|
||||
self.visible_y_min = -self.h_offset - self.cell_size
|
||||
self.visible_y_max = self.height - self.h_offset
|
||||
|
||||
def is_in_visible_area(self, x, y):
|
||||
return (self.visible_x_min <= x <= self.visible_x_max and
|
||||
self.visible_y_min <= y <= self.visible_y_max)
|
||||
```
|
||||
|
||||
**Guadagno stimato:** 10-15% con 200+ unità
|
||||
|
||||
---
|
||||
|
||||
### 2. **Chiamate renderer.copy() Non Batch** ⚠️ ALTA PRIORITÀ
|
||||
|
||||
**Problema:**
|
||||
```python
|
||||
# Ogni unità chiama renderer.copy() individualmente
|
||||
def draw_image(self, x, y, sprite, tag=None, anchor="nw"):
|
||||
if not self.is_in_visible_area(x, y):
|
||||
return
|
||||
sprite.position = (x + self.w_offset, y + self.w_offset)
|
||||
self.renderer.copy(sprite, dstrect=sprite.position) # ← Singola chiamata SDL
|
||||
```
|
||||
|
||||
**Impatto:**
|
||||
- 250 unità = **250 chiamate individuali a SDL2**
|
||||
- Ogni chiamata ha overhead di context switch
|
||||
- Non sfrutta batching hardware
|
||||
|
||||
**Soluzione - Sprite Batching:**
|
||||
```python
|
||||
class GameWindow:
|
||||
def __init__(self, ...):
|
||||
self.sprite_batch = [] # Accumula sprite da disegnare
|
||||
|
||||
def queue_sprite(self, x, y, sprite):
|
||||
"""Accoda sprite invece di disegnarlo subito"""
|
||||
if self.is_in_visible_area(x, y):
|
||||
self.sprite_batch.append((sprite, x + self.w_offset, y + self.h_offset))
|
||||
|
||||
def flush_sprites(self):
|
||||
"""Disegna tutti gli sprite in batch"""
|
||||
for sprite, x, y in self.sprite_batch:
|
||||
sprite.position = (x, y)
|
||||
self.renderer.copy(sprite, dstrect=sprite.position)
|
||||
self.sprite_batch.clear()
|
||||
|
||||
# Nel game loop
|
||||
for unit in units:
|
||||
unit.draw() # Ora usa queue_sprite invece di draw_image
|
||||
renderer.flush_sprites() # Singolo flush alla fine
|
||||
```
|
||||
|
||||
**Guadagno stimato:** 15-25% con 200+ unità
|
||||
|
||||
---
|
||||
|
||||
### 3. **Calcolo Posizioni Ridondante** ⚠️ MEDIA PRIORITÀ
|
||||
|
||||
**Problema in Rat.draw():**
|
||||
```python
|
||||
def draw(self):
|
||||
start_perf = self.game.render_engine.get_perf_counter() # ← Non utilizzato!
|
||||
direction = self.calculate_rat_direction() # ← Già calcolato in move()
|
||||
|
||||
# Calcolo partial_x/y ripetuto per ogni frame
|
||||
if direction in ["UP", "DOWN"]:
|
||||
partial_y = self.partial_move * self.game.cell_size * (1 if direction == "DOWN" else -1)
|
||||
else:
|
||||
partial_x = self.partial_move * self.game.cell_size * (1 if direction == "RIGHT" else -1)
|
||||
|
||||
x_pos = self.position_before[0] * self.game.cell_size + ...
|
||||
y_pos = self.position_before[1] * self.game.cell_size + ...
|
||||
|
||||
# get_image_size() chiamato ogni frame
|
||||
image_size = self.game.render_engine.get_image_size(image)
|
||||
```
|
||||
|
||||
**Impatto:**
|
||||
- `calculate_rat_direction()`: già calcolato in `move()` → **250 chiamate duplicate**
|
||||
- `get_image_size()`: dimensioni statiche, non cambiano → **250 lookups inutili**
|
||||
- Calcoli aritmetici ripetuti
|
||||
|
||||
**Soluzione - Cache in Unit:**
|
||||
```python
|
||||
class Rat(Unit):
|
||||
def move(self):
|
||||
# ... existing move logic ...
|
||||
self.direction = self.calculate_rat_direction() # Cache direction
|
||||
|
||||
# Pre-calcola render_position durante move
|
||||
self._update_render_position()
|
||||
|
||||
def _update_render_position(self):
|
||||
"""Pre-calcola posizione di rendering"""
|
||||
if self.direction in ["UP", "DOWN"]:
|
||||
partial_y = self.partial_move * self.game.cell_size * (1 if self.direction == "DOWN" else -1)
|
||||
partial_x = 0
|
||||
else:
|
||||
partial_x = self.partial_move * self.game.cell_size * (1 if self.direction == "RIGHT" else -1)
|
||||
partial_y = 0
|
||||
|
||||
image_size = self.game.rat_image_sizes[self.sex if self.age > AGE_THRESHOLD else "BABY"][self.direction]
|
||||
|
||||
self.render_x = self.position_before[0] * self.game.cell_size + (self.game.cell_size - image_size[0]) // 2 + partial_x
|
||||
self.render_y = self.position_before[1] * self.game.cell_size + (self.game.cell_size - image_size[1]) // 2 + partial_y
|
||||
self.bbox = (self.render_x, self.render_y, self.render_x + image_size[0], self.render_y + image_size[1])
|
||||
|
||||
def draw(self):
|
||||
sex = self.sex if self.age > AGE_THRESHOLD else "BABY"
|
||||
image = self.game.rat_assets_textures[sex][self.direction]
|
||||
self.game.render_engine.draw_image(self.render_x, self.render_y, image, tag="unit")
|
||||
```
|
||||
|
||||
**Pre-cache dimensioni immagini in Graphics:**
|
||||
```python
|
||||
class Graphics:
|
||||
def load_assets(self):
|
||||
# ... existing code ...
|
||||
|
||||
# Pre-cache image sizes
|
||||
self.rat_image_sizes = {}
|
||||
for sex in ["MALE", "FEMALE", "BABY"]:
|
||||
self.rat_image_sizes[sex] = {}
|
||||
for direction in ["UP", "DOWN", "LEFT", "RIGHT"]:
|
||||
texture = self.rat_assets_textures[sex][direction]
|
||||
self.rat_image_sizes[sex][direction] = texture.size
|
||||
```
|
||||
|
||||
**Guadagno stimato:** 5-10% con 200+ unità
|
||||
|
||||
---
|
||||
|
||||
### 4. **Tag System Inutilizzato** ⚠️ BASSA PRIORITÀ
|
||||
|
||||
**Problema:**
|
||||
```python
|
||||
def delete_tag(self, tag):
|
||||
"""Placeholder for tag deletion (not implemented)"""
|
||||
pass
|
||||
|
||||
# Ogni draw passa tag="unit" ma non viene mai usato
|
||||
unit.draw() # → draw_image(..., tag="unit")
|
||||
```
|
||||
|
||||
**Impatto:**
|
||||
- Overhead minimo di passaggio parametro inutile
|
||||
- 250 unità × parametro = spreco memoria call stack
|
||||
|
||||
**Soluzione:**
|
||||
Rimuovere parametro `tag` da `draw_image()` e tutte le chiamate.
|
||||
|
||||
**Guadagno stimato:** 1-2%
|
||||
|
||||
---
|
||||
|
||||
### 5. **Generazione Blood Stains Costosa** ⚠️ MEDIA PRIORITÀ
|
||||
|
||||
**Problema:**
|
||||
```python
|
||||
def add_blood_stain(self, position):
|
||||
# Genera nuova surface SDL con pixel manipulation
|
||||
new_blood_surface = self.render_engine.generate_blood_surface() # LENTO
|
||||
|
||||
if position in self.blood_stains:
|
||||
# Combina surfaces con pixel blending
|
||||
combined_surface = self.render_engine.combine_blood_surfaces(...) # MOLTO LENTO
|
||||
|
||||
# WORST: Rigenera TUTTO il background
|
||||
self.background_texture = None # ← Forza rigenerazione completa
|
||||
```
|
||||
|
||||
**Impatto:**
|
||||
- Ogni morte di ratto → rigenerazione background completo
|
||||
- 200 morti = **200 rigenerazioni** di texture enorme
|
||||
- `generate_blood_surface()`: loop pixel-by-pixel
|
||||
- `combine_blood_surfaces()`: blending manuale RGBA
|
||||
|
||||
**Soluzione - Pre-generazione + Overlay Layer:**
|
||||
```python
|
||||
class Graphics:
|
||||
def load_assets(self):
|
||||
# Pre-genera 10 varianti di blood stains
|
||||
self.blood_stain_pool = [
|
||||
self.render_engine.generate_blood_surface()
|
||||
for _ in range(10)
|
||||
]
|
||||
self.blood_stain_textures = [
|
||||
self.render_engine.factory.from_surface(surface)
|
||||
for surface in self.blood_stain_pool
|
||||
]
|
||||
|
||||
# Layer separato per blood
|
||||
self.blood_layer_sprites = []
|
||||
|
||||
def add_blood_stain(self, position):
|
||||
"""Aggiunge blood come sprite invece che rigenerare background"""
|
||||
import random
|
||||
blood_texture = random.choice(self.blood_stain_textures)
|
||||
|
||||
x = position[0] * self.cell_size
|
||||
y = position[1] * self.cell_size
|
||||
|
||||
self.blood_layer_sprites.append((blood_texture, x, y))
|
||||
|
||||
def draw_blood_layer(self):
|
||||
"""Disegna tutti i blood stains come sprites"""
|
||||
for texture, x, y in self.blood_layer_sprites:
|
||||
self.render_engine.draw_image(x, y, texture, tag="blood")
|
||||
|
||||
# Nel game loop
|
||||
self.draw_maze() # Background statico (UNA SOLA VOLTA)
|
||||
self.draw_blood_layer() # Blood stains come sprites
|
||||
# ... draw units ...
|
||||
```
|
||||
|
||||
**Guadagno stimato:** 20-30% durante scenari con molte morti
|
||||
|
||||
---
|
||||
|
||||
### 6. **Font Manager Creazione Inefficiente** ⚠️ BASSA PRIORITÀ
|
||||
|
||||
**Problema:**
|
||||
```python
|
||||
def generate_fonts(self, font_file):
|
||||
fonts = {}
|
||||
for i in range(10, 70, 1): # 60 font managers!
|
||||
fonts.update({i: sdl2.ext.FontManager(font_path=font_file, size=i)})
|
||||
return fonts
|
||||
```
|
||||
|
||||
**Impatto:**
|
||||
- 60 FontManager creati all'avvio
|
||||
- Usa solo 3-4 dimensioni durante il gioco
|
||||
- Memoria sprecata: ~60 × FontManager overhead
|
||||
|
||||
**Soluzione - Lazy Loading:**
|
||||
```python
|
||||
def generate_fonts(self, font_file):
|
||||
self.font_file = font_file
|
||||
self.fonts = {}
|
||||
|
||||
# Pre-carica solo dimensioni comuni
|
||||
common_sizes = [20, 35, 45]
|
||||
for size in common_sizes:
|
||||
self.fonts[size] = sdl2.ext.FontManager(font_path=font_file, size=size)
|
||||
|
||||
def get_font(self, size):
|
||||
"""Lazy load font se non esiste"""
|
||||
if size not in self.fonts:
|
||||
self.fonts[size] = sdl2.ext.FontManager(font_path=self.font_file, size=size)
|
||||
return self.fonts[size]
|
||||
```
|
||||
|
||||
**Guadagno:** Startup time: -200ms, Memoria: -5MB
|
||||
|
||||
---
|
||||
|
||||
### 7. **Performance Counter Inutilizzato** ⚠️ MINIMA PRIORITÀ
|
||||
|
||||
**Problema in Rat.draw():**
|
||||
```python
|
||||
def draw(self):
|
||||
start_perf = self.game.render_engine.get_perf_counter() # Mai usato!
|
||||
# ... resto del codice ...
|
||||
```
|
||||
|
||||
**Impatto:**
|
||||
- 250 chiamate a `SDL_GetPerformanceCounter()` per niente
|
||||
- Overhead chiamata: ~0.001ms × 250 = 0.25ms/frame
|
||||
|
||||
**Soluzione:**
|
||||
Rimuovere la riga o usarla per profiling reale.
|
||||
|
||||
---
|
||||
|
||||
## 📊 IMPATTO TOTALE STIMATO
|
||||
|
||||
### Performance Attuali (Stimate)
|
||||
Con 250 unità:
|
||||
- Collision detection: ~3.3ms (✅ ottimizzato)
|
||||
- Rendering: **~10-15ms** (🔴 collo di bottiglia)
|
||||
- Game logic: ~2ms
|
||||
- **TOTALE: ~15-20ms/frame** (50-65 FPS)
|
||||
|
||||
### Performance Post-Ottimizzazione
|
||||
Con 250 unità:
|
||||
- Collision detection: ~3.3ms
|
||||
- Rendering: **~4-6ms** (✅ migliorato 2.5x)
|
||||
- Game logic: ~2ms
|
||||
- **TOTALE: ~9-11ms/frame** (90-110 FPS)
|
||||
|
||||
---
|
||||
|
||||
## 🎯 PIANO DI IMPLEMENTAZIONE CONSIGLIATO
|
||||
|
||||
### Priority 1 - Quick Wins (1-2 ore)
|
||||
1. ✅ **Viewport culling** (soluzione A - spatial grid)
|
||||
2. ✅ **Cache render positions** in Rat
|
||||
3. ✅ **Pre-cache image sizes**
|
||||
4. ✅ **Rimuovi tag parameter**
|
||||
|
||||
**Guadagno atteso: 20-30%**
|
||||
|
||||
### Priority 2 - Medium Effort (2-3 ore)
|
||||
5. ✅ **Blood stain overlay layer** (invece di rigenerazione)
|
||||
6. ✅ **Sprite batching** (queue + flush)
|
||||
|
||||
**Guadagno atteso: +30-40% cumulativo = 50-70% totale**
|
||||
|
||||
### Priority 3 - Optional (1 ora)
|
||||
7. ✅ **Lazy font loading**
|
||||
8. ✅ **Rimuovi performance counter inutilizzato**
|
||||
|
||||
**Guadagno atteso: marginale ma cleanup code**
|
||||
|
||||
---
|
||||
|
||||
## 🔧 OTTIMIZZAZIONI AVANZATE (Opzionali)
|
||||
|
||||
### A. Texture Atlas per Rat Sprites
|
||||
**Problema:** 250 ratti = 250 texture bind per frame
|
||||
|
||||
**Soluzione:**
|
||||
```python
|
||||
# Combina tutti i rat sprites in una singola texture
|
||||
# Usa source rectangles per selezionare sprite specifici
|
||||
rat_atlas = create_texture_atlas(all_rat_sprites)
|
||||
renderer.copy(rat_atlas, srcrect=sprite_rect, dstrect=screen_rect)
|
||||
```
|
||||
|
||||
**Guadagno:** +10-20% con 200+ unità
|
||||
|
||||
### B. Dirty Rectangle Tracking
|
||||
**Problema:** Ridisegna tutto il background ogni frame
|
||||
|
||||
**Soluzione:**
|
||||
```python
|
||||
# Traccia solo le aree che sono cambiate
|
||||
dirty_rects = []
|
||||
for unit in units:
|
||||
if unit.moved:
|
||||
dirty_rects.append(unit.previous_rect)
|
||||
dirty_rects.append(unit.current_rect)
|
||||
|
||||
# Ridisegna solo dirty rects
|
||||
for rect in dirty_rects:
|
||||
redraw_region(rect)
|
||||
```
|
||||
|
||||
**Guadagno:** +30-50% su mappe grandi
|
||||
|
||||
### C. Multi-threaded Rendering
|
||||
**Problema:** Single-threaded rendering
|
||||
|
||||
**Soluzione:**
|
||||
```python
|
||||
# Thread 1: Game logic + collision
|
||||
# Thread 2: Preparazione sprite (calcolo posizioni, culling)
|
||||
# Main thread: Solo rendering SDL
|
||||
```
|
||||
|
||||
**Guadagno:** +40-60% su CPU multi-core
|
||||
|
||||
---
|
||||
|
||||
## 📈 METRICHE DI SUCCESSO
|
||||
|
||||
Dopo le ottimizzazioni Priority 1 e 2:
|
||||
|
||||
| Unità | FPS Attuale | FPS Target | FPS Atteso |
|
||||
|-------|-------------|------------|------------|
|
||||
| 50 | ~60 | 60 | 60+ |
|
||||
| 100 | ~55 | 60 | 60+ |
|
||||
| 200 | ~45 | 50 | 70-80 |
|
||||
| 250 | ~35-40 | 50 | 60-70 |
|
||||
| 300 | ~30 | 50 | 50-60 |
|
||||
|
||||
---
|
||||
|
||||
## 🧪 STRUMENTI DI PROFILING
|
||||
|
||||
### Script di Benchmark Rendering
|
||||
```python
|
||||
# test_rendering_performance.py
|
||||
import time
|
||||
from rats import MiceMaze
|
||||
|
||||
def benchmark_rendering():
|
||||
game = MiceMaze('maze.json')
|
||||
|
||||
# Spawna 250 ratti
|
||||
for _ in range(250):
|
||||
game.spawn_rat()
|
||||
|
||||
# Misura 100 frame
|
||||
render_times = []
|
||||
for _ in range(100):
|
||||
start = time.perf_counter()
|
||||
|
||||
# Solo rendering (no game logic)
|
||||
game.draw_maze()
|
||||
for unit in game.units.values():
|
||||
unit.draw()
|
||||
game.renderer.present()
|
||||
|
||||
render_times.append((time.perf_counter() - start) * 1000)
|
||||
|
||||
print(f"Avg render time: {sum(render_times)/len(render_times):.2f}ms")
|
||||
print(f"Min: {min(render_times):.2f}ms, Max: {max(render_times):.2f}ms")
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## 💡 CONCLUSIONI
|
||||
|
||||
Il rendering è **il principale bottleneck** con 200+ unità, non le collisioni.
|
||||
|
||||
**Ottimizzazioni critiche:**
|
||||
1. Viewport culling (15% gain)
|
||||
2. Sprite batching (25% gain)
|
||||
3. Blood stain overlay (30% gain in scenari con morti)
|
||||
4. Cache render positions (10% gain)
|
||||
|
||||
**Implementando Priority 1 + 2 si ottiene ~2.5x speedup sul rendering**, portando il gioco da ~40 FPS a ~70-80 FPS con 250 unità.
|
||||
|
||||
Il sistema di collisioni NumPy è già ottimizzato (3.3ms), quindi il focus deve essere sul rendering SDL2.
|
||||
@@ -1,259 +0,0 @@
|
||||
# Ottimizzazioni Rendering Implementate
|
||||
|
||||
## ✅ Completato - 24 Ottobre 2025
|
||||
|
||||
### Modifiche Implementate
|
||||
|
||||
#### 1. **Cache Viewport Bounds** ✅ (+15% performance)
|
||||
**File:** `engine/sdl2.py`
|
||||
|
||||
**Problema:** `is_in_visible_area()` ricalcolava i bounds ogni chiamata (4 confronti × 250 unità = 1000 operazioni/frame)
|
||||
|
||||
**Soluzione:**
|
||||
```python
|
||||
def _update_viewport_bounds(self):
|
||||
"""Update cached viewport bounds for fast visibility checks"""
|
||||
self.visible_x_min = -self.w_offset - self.cell_size
|
||||
self.visible_x_max = self.width - self.w_offset
|
||||
self.visible_y_min = -self.h_offset - self.cell_size
|
||||
self.visible_y_max = self.height - self.h_offset
|
||||
|
||||
def is_in_visible_area(self, x, y):
|
||||
"""Ottimizzato con cached bounds"""
|
||||
return (self.visible_x_min <= x <= self.visible_x_max and
|
||||
self.visible_y_min <= y <= self.visible_y_max)
|
||||
```
|
||||
|
||||
I bounds vengono aggiornati solo quando cambia il viewport (scroll), non a ogni check.
|
||||
|
||||
---
|
||||
|
||||
#### 2. **Pre-cache Image Sizes** ✅ (+5% performance)
|
||||
**File:** `engine/graphics.py`
|
||||
|
||||
**Problema:** `get_image_size()` chiamato 250 volte/frame anche se le dimensioni sono statiche
|
||||
|
||||
**Soluzione:**
|
||||
```python
|
||||
# All'avvio, memorizza tutte le dimensioni
|
||||
self.rat_image_sizes = {}
|
||||
for sex in ["MALE", "FEMALE", "BABY"]:
|
||||
self.rat_image_sizes[sex] = {}
|
||||
for direction in ["UP", "DOWN", "LEFT", "RIGHT"]:
|
||||
texture = self.rat_assets_textures[sex][direction]
|
||||
self.rat_image_sizes[sex][direction] = texture.size # Cache!
|
||||
```
|
||||
|
||||
Le dimensioni vengono lette una sola volta all'avvio, non ogni frame.
|
||||
|
||||
---
|
||||
|
||||
#### 3. **Cache Render Positions in Rat** ✅ (+10% performance)
|
||||
**File:** `units/rat.py`
|
||||
|
||||
**Problema:**
|
||||
- `calculate_rat_direction()` chiamato sia in `move()` che in `draw()` → duplicato
|
||||
- Calcoli aritmetici (partial_x, partial_y, x_pos, y_pos) ripetuti ogni frame
|
||||
- `get_image_size()` chiamato ogni frame (ora risolto con cache)
|
||||
|
||||
**Soluzione:**
|
||||
```python
|
||||
def move(self):
|
||||
# ... movimento ...
|
||||
self.direction = self.calculate_rat_direction()
|
||||
self._update_render_position() # Pre-calcola per draw()
|
||||
|
||||
def _update_render_position(self):
|
||||
"""Pre-calcola posizione di rendering durante move()"""
|
||||
sex = self.sex if self.age > AGE_THRESHOLD else "BABY"
|
||||
image_size = self.game.rat_image_sizes[sex][self.direction] # Cache!
|
||||
|
||||
# Calcola una sola volta
|
||||
if self.direction in ["UP", "DOWN"]:
|
||||
partial_x = 0
|
||||
partial_y = self.partial_move * self.game.cell_size * (1 if self.direction == "DOWN" else -1)
|
||||
else:
|
||||
partial_x = self.partial_move * self.game.cell_size * (1 if self.direction == "RIGHT" else -1)
|
||||
partial_y = 0
|
||||
|
||||
self.render_x = self.position_before[0] * self.game.cell_size + (self.game.cell_size - image_size[0]) // 2 + partial_x
|
||||
self.render_y = self.position_before[1] * self.game.cell_size + (self.game.cell_size - image_size[1]) // 2 + partial_y
|
||||
self.bbox = (self.render_x, self.render_y, self.render_x + image_size[0], self.render_y + image_size[1])
|
||||
|
||||
def draw(self):
|
||||
"""Semplicissimo - usa solo valori pre-calcolati"""
|
||||
sex = self.sex if self.age > AGE_THRESHOLD else "BABY"
|
||||
image = self.game.rat_assets_textures[sex][self.direction]
|
||||
self.game.render_engine.draw_image(self.render_x, self.render_y, image, tag="unit")
|
||||
```
|
||||
|
||||
**Benefici:**
|
||||
- Nessun calcolo duplicato
|
||||
- `draw()` diventa semplicissimo
|
||||
- `bbox` aggiornato automaticamente per collision system
|
||||
|
||||
---
|
||||
|
||||
#### 4. **Blood Stains come Overlay Layer** ✅ (+30% in scenari con morti)
|
||||
**File:** `engine/graphics.py`
|
||||
|
||||
**Problema:**
|
||||
- Ogni morte di ratto → `generate_blood_surface()` (pixel-by-pixel loop)
|
||||
- Poi → `combine_blood_surfaces()` (blending RGBA manuale)
|
||||
- Infine → `self.background_texture = None` → **rigenerazione completa background**
|
||||
- Con 200 morti = 200 rigenerazioni di texture enorme!
|
||||
|
||||
**Soluzione:**
|
||||
|
||||
**A) Pre-generazione pool all'avvio:**
|
||||
```python
|
||||
def load_assets(self):
|
||||
# ...
|
||||
# Pre-genera 10 varianti di blood stains
|
||||
self.blood_stain_textures = []
|
||||
for _ in range(10):
|
||||
blood_surface = self.render_engine.generate_blood_surface()
|
||||
blood_texture = self.render_engine.draw_blood_surface(blood_surface, (0, 0))
|
||||
if blood_texture:
|
||||
self.blood_stain_textures.append(blood_texture)
|
||||
|
||||
self.blood_layer_sprites = [] # Lista di blood sprites
|
||||
```
|
||||
|
||||
**B) Blood come sprites overlay:**
|
||||
```python
|
||||
def add_blood_stain(self, position):
|
||||
"""Aggiunge blood come sprite - NESSUNA rigenerazione background!"""
|
||||
import random
|
||||
|
||||
blood_texture = random.choice(self.blood_stain_textures)
|
||||
x = position[0] * self.cell_size
|
||||
y = position[1] * self.cell_size
|
||||
|
||||
# Aggiungi alla lista invece di rigenerare
|
||||
self.blood_layer_sprites.append((blood_texture, x, y))
|
||||
|
||||
def draw_blood_layer(self):
|
||||
"""Disegna tutti i blood stains come sprites"""
|
||||
for blood_texture, x, y in self.blood_layer_sprites:
|
||||
self.render_engine.draw_image(x, y, blood_texture, tag="blood")
|
||||
```
|
||||
|
||||
**C) Background statico:**
|
||||
```python
|
||||
def draw_maze(self):
|
||||
if self.background_texture is None:
|
||||
self.regenerate_background()
|
||||
self.render_engine.draw_background(self.background_texture)
|
||||
self.draw_blood_layer() # Blood come overlay separato
|
||||
```
|
||||
|
||||
**Benefici:**
|
||||
- Background generato UNA SOLA VOLTA (all'inizio)
|
||||
- Blood stains: pre-generati → nessun costo runtime
|
||||
- Nessuna rigenerazione costosa
|
||||
- 10 varianti casuali per varietà visiva
|
||||
|
||||
---
|
||||
|
||||
### Performance Stimate
|
||||
|
||||
#### Prima delle Ottimizzazioni
|
||||
Con 250 unità:
|
||||
```
|
||||
Frame breakdown:
|
||||
- Collision detection: 3.3ms (già ottimizzato con NumPy)
|
||||
- Rendering: 10-15ms
|
||||
- draw_image checks: ~2ms (visibility checks)
|
||||
- get_image_size calls: ~1ms
|
||||
- Render calculations: ~2ms
|
||||
- Blood regenerations: ~3-5ms (picchi)
|
||||
- SDL copy calls: ~4ms
|
||||
- Game logic: 2ms
|
||||
TOTALE: ~15-20ms → 50-65 FPS
|
||||
```
|
||||
|
||||
#### Dopo le Ottimizzazioni
|
||||
Con 250 unità:
|
||||
```
|
||||
Frame breakdown:
|
||||
- Collision detection: 3.3ms (invariato)
|
||||
- Rendering: 5-7ms ✅
|
||||
- draw_image checks: ~0.5ms (cached bounds)
|
||||
- get_image_size calls: 0ms (pre-cached)
|
||||
- Render calculations: ~0.5ms (pre-calcolati in move)
|
||||
- Blood regenerations: 0ms (overlay sprites)
|
||||
- SDL copy calls: ~4ms (invariato)
|
||||
- Game logic: 2ms
|
||||
TOTALE: ~10-12ms → 80-100 FPS
|
||||
```
|
||||
|
||||
**Miglioramento: ~2x più veloce nel rendering**
|
||||
|
||||
---
|
||||
|
||||
### Metriche di Successo
|
||||
|
||||
| Unità | FPS Prima | FPS Dopo | Miglioramento |
|
||||
|-------|-----------|----------|---------------|
|
||||
| 50 | ~60 | 60+ | Stabile |
|
||||
| 100 | ~55 | 60+ | +9% |
|
||||
| 200 | ~45 | 75-85 | +67-89% |
|
||||
| 250 | ~35-40 | 60-70 | +71-100% |
|
||||
| 300 | ~30 | 55-65 | +83-117% |
|
||||
|
||||
---
|
||||
|
||||
### File Modificati
|
||||
|
||||
1. ✅ `engine/sdl2.py` - Cache viewport bounds
|
||||
2. ✅ `engine/graphics.py` - Pre-cache sizes + blood overlay
|
||||
3. ✅ `units/rat.py` - Cache render positions
|
||||
|
||||
**Linee di codice modificate:** ~120 linee
|
||||
**Tempo implementazione:** ~2 ore
|
||||
**Performance gain:** 2x rendering, 1.5-2x FPS totale con 200+ unità
|
||||
|
||||
---
|
||||
|
||||
### Ottimizzazioni Future (Opzionali)
|
||||
|
||||
#### Non Implementate (basso impatto):
|
||||
- ❌ Rimozione tag parameter (1-2% gain)
|
||||
- ❌ Sprite batching (complesso, 15-25% gain ma richiede refactor)
|
||||
- ❌ Texture atlas (10-20% gain ma richiede asset rebuild)
|
||||
|
||||
#### Motivo:
|
||||
Le ottimizzazioni implementate hanno già raggiunto l'obiettivo di 60+ FPS con 250 unità. Le ulteriori ottimizzazioni avrebbero costo/beneficio sfavorevole.
|
||||
|
||||
---
|
||||
|
||||
### Testing
|
||||
|
||||
**Come testare i miglioramenti:**
|
||||
|
||||
1. Avvia il gioco: `./mice.sh`
|
||||
2. Spawna molti ratti (usa keybinding per spawn)
|
||||
3. Osserva FPS counter in alto a sinistra
|
||||
4. Usa bombe per uccidere ratti → osserva che NON ci sono lag durante morti multiple
|
||||
|
||||
**Risultati attesi:**
|
||||
- Con 200+ ratti: FPS stabile 70-85
|
||||
- Durante esplosioni multiple: nessun lag
|
||||
- Blood stains appaiono istantaneamente
|
||||
|
||||
---
|
||||
|
||||
### Conclusioni
|
||||
|
||||
✅ **Obiettivo raggiunto**: Da ~40 FPS a ~70-80 FPS con 250 unità
|
||||
|
||||
Le ottimizzazioni si concentrano sui bottleneck reali:
|
||||
1. **Viewport checks** erano costosi → ora cached
|
||||
2. **Image sizes** venivano riletti → ora cached
|
||||
3. **Render calculations** erano duplicati → ora pre-calcolati
|
||||
4. **Blood stains** rigeneravano tutto → ora overlay
|
||||
|
||||
Il sistema ora scala bene fino a 300+ unità mantenendo 50+ FPS.
|
||||
|
||||
Il rendering SDL2 è ora **2x più veloce** e combinato con il collision system NumPy già ottimizzato, il gioco può gestire scenari con centinaia di unità senza problemi di performance.
|
||||
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@@ -27,6 +27,30 @@
|
||||
"keydown_M": "toggle_audio",
|
||||
"keydown_F": "toggle_full_screen"
|
||||
},
|
||||
"keybinding_level_intro": {
|
||||
"keydown_Return": "reset_game",
|
||||
"keydown_Escape": "quit_game",
|
||||
"keydown_M": "toggle_audio",
|
||||
"keydown_F": "toggle_full_screen"
|
||||
},
|
||||
"keybinding_level_clear": {
|
||||
"keydown_Return": "reset_game",
|
||||
"keydown_Escape": "quit_game",
|
||||
"keydown_M": "toggle_audio",
|
||||
"keydown_F": "toggle_full_screen"
|
||||
},
|
||||
"keybinding_defeat": {
|
||||
"keydown_Return": "reset_game",
|
||||
"keydown_Escape": "quit_game",
|
||||
"keydown_M": "toggle_audio",
|
||||
"keydown_F": "toggle_full_screen"
|
||||
},
|
||||
"keybinding_run_complete": {
|
||||
"keydown_Return": "reset_game",
|
||||
"keydown_Escape": "quit_game",
|
||||
"keydown_M": "toggle_audio",
|
||||
"keydown_F": "toggle_full_screen"
|
||||
},
|
||||
"keybinding_paused": {
|
||||
"keydown_Return": "reset_game",
|
||||
"keydown_Escape": "quit_game",
|
||||
|
||||
@@ -25,6 +25,30 @@ keybinding_start_menu:
|
||||
controllerbuttondown_misc1: quit_game
|
||||
controllerbuttondown_guide: quit_game
|
||||
|
||||
keybinding_level_intro:
|
||||
controllerbuttondown_a: reset_game
|
||||
controllerbuttondown_start: reset_game
|
||||
controllerbuttondown_misc1: quit_game
|
||||
controllerbuttondown_guide: quit_game
|
||||
|
||||
keybinding_level_clear:
|
||||
controllerbuttondown_a: reset_game
|
||||
controllerbuttondown_start: reset_game
|
||||
controllerbuttondown_misc1: quit_game
|
||||
controllerbuttondown_guide: quit_game
|
||||
|
||||
keybinding_defeat:
|
||||
controllerbuttondown_a: reset_game
|
||||
controllerbuttondown_start: reset_game
|
||||
controllerbuttondown_misc1: quit_game
|
||||
controllerbuttondown_guide: quit_game
|
||||
|
||||
keybinding_run_complete:
|
||||
controllerbuttondown_a: reset_game
|
||||
controllerbuttondown_start: reset_game
|
||||
controllerbuttondown_misc1: quit_game
|
||||
controllerbuttondown_guide: quit_game
|
||||
|
||||
keybinding_paused:
|
||||
controllerbuttondown_start: toggle_pause
|
||||
controllerbuttondown_dpad_up: menu_up
|
||||
|
||||
@@ -26,6 +26,30 @@ keybinding_start_menu:
|
||||
keydown_M: toggle_audio
|
||||
keydown_F: toggle_full_screen
|
||||
|
||||
keybinding_level_intro:
|
||||
keydown_Return: reset_game
|
||||
keydown_Escape: quit_game
|
||||
keydown_M: toggle_audio
|
||||
keydown_F: toggle_full_screen
|
||||
|
||||
keybinding_level_clear:
|
||||
keydown_Return: reset_game
|
||||
keydown_Escape: quit_game
|
||||
keydown_M: toggle_audio
|
||||
keydown_F: toggle_full_screen
|
||||
|
||||
keybinding_defeat:
|
||||
keydown_Return: reset_game
|
||||
keydown_Escape: quit_game
|
||||
keydown_M: toggle_audio
|
||||
keydown_F: toggle_full_screen
|
||||
|
||||
keybinding_run_complete:
|
||||
keydown_Return: reset_game
|
||||
keydown_Escape: quit_game
|
||||
keydown_M: toggle_audio
|
||||
keydown_F: toggle_full_screen
|
||||
|
||||
keybinding_paused:
|
||||
keydown_Return: reset_game
|
||||
keydown_Escape: quit_game
|
||||
|
||||
@@ -24,6 +24,22 @@ keybinding_start_menu:
|
||||
joybuttondown_16: toggle_pause
|
||||
joybuttondown_12: quit_game
|
||||
|
||||
keybinding_level_intro:
|
||||
joybuttondown_13: reset_game
|
||||
joybuttondown_12: quit_game
|
||||
|
||||
keybinding_level_clear:
|
||||
joybuttondown_13: reset_game
|
||||
joybuttondown_12: quit_game
|
||||
|
||||
keybinding_defeat:
|
||||
joybuttondown_13: reset_game
|
||||
joybuttondown_12: quit_game
|
||||
|
||||
keybinding_run_complete:
|
||||
joybuttondown_13: reset_game
|
||||
joybuttondown_12: quit_game
|
||||
|
||||
keybinding_paused:
|
||||
joybuttondown_13: reset_game
|
||||
joybuttondown_16: toggle_pause
|
||||
|
||||
@@ -20,6 +20,22 @@ keybinding_start_menu:
|
||||
joybuttondown_10: toggle_pause
|
||||
joybuttondown_11: quit_game
|
||||
|
||||
keybinding_level_intro:
|
||||
joybuttondown_9: reset_game
|
||||
joybuttondown_11: quit_game
|
||||
|
||||
keybinding_level_clear:
|
||||
joybuttondown_9: reset_game
|
||||
joybuttondown_11: quit_game
|
||||
|
||||
keybinding_defeat:
|
||||
joybuttondown_9: reset_game
|
||||
joybuttondown_11: quit_game
|
||||
|
||||
keybinding_run_complete:
|
||||
joybuttondown_9: reset_game
|
||||
joybuttondown_11: quit_game
|
||||
|
||||
keybinding_paused:
|
||||
joybuttondown_9: reset_game
|
||||
joybuttondown_10: toggle_pause
|
||||
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 1.7 MiB After Width: | Height: | Size: 683 KiB |
+109
-326
@@ -1,25 +1,25 @@
|
||||
"""
|
||||
Optimized collision detection system using NumPy for vectorized operations.
|
||||
Native Python collision detection system using Spatial Hashing.
|
||||
|
||||
This module provides efficient collision detection for games with many entities (200+).
|
||||
Uses AABB (Axis-Aligned Bounding Box) collision detection with numpy vectorization.
|
||||
|
||||
HYBRID APPROACH:
|
||||
- For < 50 units: Uses simple dictionary-based approach (low overhead)
|
||||
- For >= 50 units: Uses NumPy vectorization (scales better)
|
||||
|
||||
Performance improvements:
|
||||
- O(n²) → O(n) for spatial queries using grid-based hashing
|
||||
- Vectorized AABB checks for large unit counts
|
||||
- Minimal overhead for small unit counts
|
||||
This module provides efficient collision detection without NumPy.
|
||||
It uses a grid-based approach (buckets) to ensure O(1) or O(n) complexity.
|
||||
This structure is designed to be easily portable to Nim.
|
||||
"""
|
||||
|
||||
import numpy as np
|
||||
from typing import Dict, List, Tuple, Set
|
||||
from dataclasses import dataclass
|
||||
|
||||
# Threshold for switching to NumPy mode
|
||||
NUMPY_THRESHOLD = 50
|
||||
|
||||
def shrink_bbox(bbox: Tuple[float, float, float, float], ratio: float) -> Tuple[float, float, float, float]:
|
||||
"""Return a smaller bbox centered on the original one.
|
||||
|
||||
ratio is the fraction of width/height removed from each side.
|
||||
E.g. ratio=0.25 keeps the central 50% of the original area.
|
||||
"""
|
||||
x1, y1, x2, y2 = bbox
|
||||
dx = (x2 - x1) * ratio / 2
|
||||
dy = (y2 - y1) * ratio / 2
|
||||
return (x1 + dx, y1 + dy, x2 - dx, y2 - dy)
|
||||
|
||||
|
||||
@dataclass
|
||||
@@ -35,16 +35,7 @@ class CollisionLayer:
|
||||
|
||||
class CollisionSystem:
|
||||
"""
|
||||
Manages collision detection for all game units using NumPy vectorization.
|
||||
|
||||
Attributes
|
||||
----------
|
||||
cell_size : int
|
||||
Size of each grid cell in pixels
|
||||
grid_width : int
|
||||
Number of cells in grid width
|
||||
grid_height : int
|
||||
Number of cells in grid height
|
||||
Manages collision detection using a Spatial Grid.
|
||||
"""
|
||||
|
||||
def __init__(self, cell_size: int, grid_width: int, grid_height: int):
|
||||
@@ -52,350 +43,142 @@ class CollisionSystem:
|
||||
self.grid_width = grid_width
|
||||
self.grid_height = grid_height
|
||||
|
||||
# Spatial grid for fast lookups
|
||||
self.spatial_grid: Dict[Tuple[int, int], List] = {}
|
||||
self.spatial_grid_before: Dict[Tuple[int, int], List] = {}
|
||||
# Grid: Maps (x, y) coordinates to list of Unit objects/IDs
|
||||
self.grid: Dict[Tuple[int, int], List[int]] = {}
|
||||
self.grid_before: Dict[Tuple[int, int], List[int]] = {}
|
||||
|
||||
# Arrays for vectorized operations
|
||||
self.unit_ids = []
|
||||
self.bboxes = np.array([], dtype=np.float32).reshape(0, 4) # (x1, y1, x2, y2)
|
||||
self.positions = np.array([], dtype=np.int32).reshape(0, 2) # (x, y)
|
||||
self.positions_before = np.array([], dtype=np.int32).reshape(0, 2)
|
||||
self.layers = np.array([], dtype=np.int8)
|
||||
# Unit storage
|
||||
self.units_data: Dict[int, dict] = {}
|
||||
self.unit_ids: List[int] = [] # Stable list of IDs for parity
|
||||
|
||||
# Pre-allocation tracking
|
||||
self._capacity = 0
|
||||
self._size = 0
|
||||
|
||||
# Collision matrix: which layers collide with which
|
||||
self.collision_matrix = np.zeros((6, 6), dtype=bool)
|
||||
# Collision matrix (Native Python dict of sets for speed)
|
||||
self._setup_collision_matrix()
|
||||
|
||||
def _setup_collision_matrix(self):
|
||||
"""Define which collision layers interact with each other."""
|
||||
L = CollisionLayer
|
||||
# Interaction rules: layer -> set of target layers
|
||||
self.interaction_map = {
|
||||
L.RAT: {L.RAT, L.GAS, L.MINE, L.POINT, L.EXPLOSION},
|
||||
L.GAS: {L.RAT},
|
||||
L.MINE: {L.RAT},
|
||||
L.POINT: {L.RAT},
|
||||
L.EXPLOSION: {L.RAT},
|
||||
L.BOMB: set() # Bombs are passive until they explode
|
||||
}
|
||||
|
||||
# Rats collide with: Rats, Bombs, Gas, Mines, Points
|
||||
self.collision_matrix[L.RAT, L.RAT] = True
|
||||
self.collision_matrix[L.RAT, L.BOMB] = False # Bombs don't kill on contact
|
||||
self.collision_matrix[L.RAT, L.GAS] = True
|
||||
self.collision_matrix[L.RAT, L.MINE] = True
|
||||
self.collision_matrix[L.RAT, L.POINT] = True
|
||||
self.collision_matrix[L.RAT, L.EXPLOSION] = True
|
||||
|
||||
# Gas affects rats
|
||||
self.collision_matrix[L.GAS, L.RAT] = True
|
||||
|
||||
# Mines trigger on rats
|
||||
self.collision_matrix[L.MINE, L.RAT] = True
|
||||
|
||||
# Points collected by rats (handled in point logic)
|
||||
self.collision_matrix[L.POINT, L.RAT] = True
|
||||
|
||||
# Explosions kill rats
|
||||
self.collision_matrix[L.EXPLOSION, L.RAT] = True
|
||||
|
||||
# Make matrix symmetric
|
||||
self.collision_matrix = np.logical_or(self.collision_matrix,
|
||||
self.collision_matrix.T)
|
||||
|
||||
def clear(self):
|
||||
"""Clear all collision data for new frame."""
|
||||
self.spatial_grid.clear()
|
||||
self.spatial_grid_before.clear()
|
||||
self.unit_ids = []
|
||||
self.bboxes = np.array([], dtype=np.float32).reshape(0, 4)
|
||||
self.positions = np.array([], dtype=np.int32).reshape(0, 2)
|
||||
self.positions_before = np.array([], dtype=np.int32).reshape(0, 2)
|
||||
self.layers = np.array([], dtype=np.int8)
|
||||
self.grid.clear()
|
||||
self.grid_before.clear()
|
||||
self.units_data.clear()
|
||||
self.unit_ids.clear()
|
||||
|
||||
def register_unit(self, unit_id, bbox: Tuple[float, float, float, float],
|
||||
position: Tuple[int, int], position_before: Tuple[int, int],
|
||||
layer: int):
|
||||
"""
|
||||
Register a unit for collision detection this frame.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
unit_id : UUID
|
||||
Unique identifier for the unit
|
||||
bbox : tuple
|
||||
Bounding box (x1, y1, x2, y2)
|
||||
position : tuple
|
||||
Current grid position (x, y)
|
||||
position_before : tuple
|
||||
Previous grid position (x, y)
|
||||
layer : int
|
||||
Collision layer (from CollisionLayer enum)
|
||||
Register a unit in the spatial grid.
|
||||
"""
|
||||
idx = len(self.unit_ids)
|
||||
self.unit_ids.append(unit_id)
|
||||
self.units_data[unit_id] = {
|
||||
"bbox": bbox,
|
||||
"pos": position,
|
||||
"pos_before": position_before,
|
||||
"layer": layer
|
||||
}
|
||||
|
||||
# Pre-allocate arrays in batches to reduce overhead
|
||||
if len(self.bboxes) == 0:
|
||||
# Initialize with reasonable capacity
|
||||
self.bboxes = np.empty((100, 4), dtype=np.float32)
|
||||
self.positions = np.empty((100, 2), dtype=np.int32)
|
||||
self.positions_before = np.empty((100, 2), dtype=np.int32)
|
||||
self.layers = np.empty(100, dtype=np.int8)
|
||||
self._capacity = 100
|
||||
self._size = 0
|
||||
elif self._size >= self._capacity:
|
||||
# Expand capacity
|
||||
new_capacity = self._capacity * 2
|
||||
self.bboxes = np.resize(self.bboxes, (new_capacity, 4))
|
||||
self.positions = np.resize(self.positions, (new_capacity, 2))
|
||||
self.positions_before = np.resize(self.positions_before, (new_capacity, 2))
|
||||
self.layers = np.resize(self.layers, new_capacity)
|
||||
self._capacity = new_capacity
|
||||
# Add to spatial buckets
|
||||
if position not in self.grid:
|
||||
self.grid[position] = []
|
||||
self.grid[position].append(unit_id)
|
||||
|
||||
# Add data
|
||||
self.bboxes[self._size] = bbox
|
||||
self.positions[self._size] = position
|
||||
self.positions_before[self._size] = position_before
|
||||
self.layers[self._size] = layer
|
||||
self._size += 1
|
||||
|
||||
# Add to spatial grids
|
||||
self.spatial_grid.setdefault(position, []).append(idx)
|
||||
self.spatial_grid_before.setdefault(position_before, []).append(idx)
|
||||
|
||||
def check_aabb_collision(self, idx1: int, idx2: int, tolerance: int = 0) -> bool:
|
||||
"""
|
||||
Check AABB collision between two units.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
idx1, idx2 : int
|
||||
Indices in the arrays
|
||||
tolerance : int
|
||||
Overlap tolerance in pixels (reduces detection zone)
|
||||
|
||||
Returns
|
||||
-------
|
||||
bool
|
||||
True if bounding boxes overlap
|
||||
"""
|
||||
bbox1 = self.bboxes[idx1]
|
||||
bbox2 = self.bboxes[idx2]
|
||||
|
||||
return (bbox1[0] < bbox2[2] - tolerance and
|
||||
bbox1[2] > bbox2[0] + tolerance and
|
||||
bbox1[1] < bbox2[3] - tolerance and
|
||||
bbox1[3] > bbox2[1] + tolerance)
|
||||
|
||||
def check_aabb_collision_vectorized(self, idx: int, indices: np.ndarray,
|
||||
tolerance: int = 0) -> np.ndarray:
|
||||
"""
|
||||
Vectorized AABB collision check between one unit and many others.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
idx : int
|
||||
Index of the unit to check
|
||||
indices : ndarray
|
||||
Array of indices to check against
|
||||
tolerance : int
|
||||
Overlap tolerance in pixels
|
||||
|
||||
Returns
|
||||
-------
|
||||
ndarray
|
||||
Boolean array indicating collisions
|
||||
"""
|
||||
if len(indices) == 0:
|
||||
return np.array([], dtype=bool)
|
||||
|
||||
# Slice actual data size, not full capacity
|
||||
bbox = self.bboxes[idx]
|
||||
other_bboxes = self.bboxes[indices]
|
||||
|
||||
# Vectorized AABB check
|
||||
collisions = (
|
||||
(bbox[0] < other_bboxes[:, 2] - tolerance) &
|
||||
(bbox[2] > other_bboxes[:, 0] + tolerance) &
|
||||
(bbox[1] < other_bboxes[:, 3] - tolerance) &
|
||||
(bbox[3] > other_bboxes[:, 1] + tolerance)
|
||||
)
|
||||
|
||||
return collisions
|
||||
if position_before not in self.grid_before:
|
||||
self.grid_before[position_before] = []
|
||||
self.grid_before[position_before].append(unit_id)
|
||||
|
||||
def get_collisions_for_unit(self, unit_id, layer: int,
|
||||
tolerance: int = 0) -> List[Tuple[int, any]]:
|
||||
"""
|
||||
Get all units colliding with the specified unit.
|
||||
Uses hybrid approach: simple method for few units, numpy for many.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
unit_id : UUID
|
||||
ID of the unit to check
|
||||
layer : int
|
||||
Collision layer of the unit
|
||||
tolerance : int
|
||||
Overlap tolerance
|
||||
|
||||
Returns
|
||||
-------
|
||||
list
|
||||
List of tuples (index, unit_id) for colliding units
|
||||
Get all units colliding with the specified unit using grid lookup.
|
||||
"""
|
||||
if unit_id not in self.unit_ids:
|
||||
if unit_id not in self.units_data:
|
||||
return []
|
||||
|
||||
data = self.units_data[unit_id]
|
||||
bbox = data["bbox"]
|
||||
pos = data["pos"]
|
||||
pos_before = data["pos_before"]
|
||||
|
||||
idx = self.unit_ids.index(unit_id)
|
||||
position = tuple(self.positions[idx])
|
||||
position_before = tuple(self.positions_before[idx])
|
||||
colliding_units = []
|
||||
target_layers = self.interaction_map.get(layer, set())
|
||||
|
||||
# Get candidate indices from spatial grid
|
||||
# Candidate search: look in current and previous grid buckets
|
||||
# This covers units that moved into our space or were there before
|
||||
candidates = set()
|
||||
for pos in [position, position_before]:
|
||||
candidates.update(self.spatial_grid.get(pos, []))
|
||||
candidates.update(self.spatial_grid_before.get(pos, []))
|
||||
for p in [pos, pos_before]:
|
||||
if p in self.grid:
|
||||
candidates.update(self.grid[p])
|
||||
if p in self.grid_before:
|
||||
candidates.update(self.grid_before[p])
|
||||
|
||||
# Remove self and out-of-bounds indices
|
||||
candidates.discard(idx)
|
||||
candidates = {c for c in candidates if c < self._size}
|
||||
candidates.discard(unit_id)
|
||||
|
||||
if not candidates:
|
||||
return []
|
||||
|
||||
# HYBRID APPROACH: Use simple method for few candidates
|
||||
if len(candidates) < 10:
|
||||
return self._simple_collision_check(idx, candidates, layer, tolerance)
|
||||
|
||||
# NumPy vectorized approach for many candidates
|
||||
candidates_array = np.array(list(candidates), dtype=np.int32)
|
||||
candidate_layers = self.layers[candidates_array]
|
||||
|
||||
# Check collision matrix
|
||||
can_collide = self.collision_matrix[layer, candidate_layers]
|
||||
valid_candidates = candidates_array[can_collide]
|
||||
|
||||
if len(valid_candidates) == 0:
|
||||
return []
|
||||
|
||||
# Vectorized AABB check
|
||||
collisions = self.check_aabb_collision_vectorized(idx, valid_candidates, tolerance)
|
||||
colliding_indices = valid_candidates[collisions]
|
||||
|
||||
# Return list of (index, unit_id) pairs
|
||||
return [(int(i), self.unit_ids[i]) for i in colliding_indices]
|
||||
|
||||
def _simple_collision_check(self, idx: int, candidates: set, layer: int,
|
||||
tolerance: int) -> List[Tuple[int, any]]:
|
||||
"""
|
||||
Simple collision check without numpy overhead.
|
||||
Used when there are few candidates.
|
||||
"""
|
||||
results = []
|
||||
bbox = self.bboxes[idx]
|
||||
|
||||
for other_idx in candidates:
|
||||
# Check collision layer
|
||||
if not self.collision_matrix[layer, self.layers[other_idx]]:
|
||||
continue
|
||||
for other_id in candidates:
|
||||
other_data = self.units_data[other_id]
|
||||
|
||||
# AABB check
|
||||
other_bbox = self.bboxes[other_idx]
|
||||
# 1. Filter by layer
|
||||
if other_data["layer"] not in target_layers:
|
||||
continue
|
||||
|
||||
# 2. AABB Check
|
||||
other_bbox = other_data["bbox"]
|
||||
if (bbox[0] < other_bbox[2] - tolerance and
|
||||
bbox[2] > other_bbox[0] + tolerance and
|
||||
bbox[1] < other_bbox[3] - tolerance and
|
||||
bbox[3] > other_bbox[1] + tolerance):
|
||||
results.append((int(other_idx), self.unit_ids[other_idx]))
|
||||
|
||||
return results
|
||||
# Return dummy index (for parity) and ID
|
||||
colliding_units.append((0, other_id))
|
||||
|
||||
return colliding_units
|
||||
|
||||
def get_units_in_cell(self, position: Tuple[int, int],
|
||||
use_before: bool = False) -> List[any]:
|
||||
"""
|
||||
Get all unit IDs in a specific grid cell.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
position : tuple
|
||||
Grid position (x, y)
|
||||
use_before : bool
|
||||
If True, use position_before instead of position
|
||||
|
||||
Returns
|
||||
-------
|
||||
list
|
||||
List of unit IDs in that cell
|
||||
"""
|
||||
grid = self.spatial_grid_before if use_before else self.spatial_grid
|
||||
indices = grid.get(position, [])
|
||||
return [self.unit_ids[i] for i in indices]
|
||||
"""Get all unit IDs in a specific grid cell."""
|
||||
target_grid = self.grid_before if use_before else self.grid
|
||||
return target_grid.get(position, [])
|
||||
|
||||
def get_units_in_area(self, positions: List[Tuple[int, int]],
|
||||
layer_filter: int = None) -> Set[any]:
|
||||
"""
|
||||
Get all units in multiple grid cells (useful for explosions).
|
||||
|
||||
Parameters
|
||||
----------
|
||||
positions : list
|
||||
List of grid positions to check
|
||||
layer_filter : int, optional
|
||||
If provided, only return units of this layer
|
||||
|
||||
Returns
|
||||
-------
|
||||
set
|
||||
Set of unique unit IDs in the area
|
||||
"""
|
||||
unit_set = set()
|
||||
|
||||
"""Get all units in multiple grid cells (vectorized lookup replacement)."""
|
||||
found = set()
|
||||
for pos in positions:
|
||||
# Check both current and previous positions
|
||||
for grid in [self.spatial_grid, self.spatial_grid_before]:
|
||||
indices = grid.get(pos, [])
|
||||
for idx in indices:
|
||||
if layer_filter is None or self.layers[idx] == layer_filter:
|
||||
unit_set.add(self.unit_ids[idx])
|
||||
|
||||
return unit_set
|
||||
|
||||
# Check current grid
|
||||
if pos in self.grid:
|
||||
for uid in self.grid[pos]:
|
||||
if layer_filter is None or self.units_data[uid]["layer"] == layer_filter:
|
||||
found.add(uid)
|
||||
# Check previous grid
|
||||
if pos in self.grid_before:
|
||||
for uid in self.grid_before[pos]:
|
||||
if layer_filter is None or self.units_data[uid]["layer"] == layer_filter:
|
||||
found.add(uid)
|
||||
return found
|
||||
|
||||
def check_partial_move_collision(self, unit_id, partial_move: float,
|
||||
threshold: float = 0.5) -> List[any]:
|
||||
"""
|
||||
Check collisions considering partial movement progress.
|
||||
|
||||
For units moving between cells, checks if they should be considered
|
||||
in current or previous cell based on movement progress.
|
||||
|
||||
Parameters
|
||||
----------
|
||||
unit_id : UUID
|
||||
Unit to check
|
||||
partial_move : float
|
||||
Movement progress (0.0 to 1.0)
|
||||
threshold : float
|
||||
Movement threshold for position consideration
|
||||
|
||||
Returns
|
||||
-------
|
||||
list
|
||||
List of unit IDs in collision
|
||||
"""
|
||||
if unit_id not in self.unit_ids:
|
||||
"""Collision check considering movement progress."""
|
||||
if unit_id not in self.units_data:
|
||||
return []
|
||||
|
||||
data = self.units_data[unit_id]
|
||||
pos = data["pos"] if partial_move >= threshold else data["pos_before"]
|
||||
|
||||
idx = self.unit_ids.index(unit_id)
|
||||
|
||||
# Choose position based on partial move
|
||||
if partial_move >= threshold:
|
||||
position = tuple(self.positions[idx])
|
||||
else:
|
||||
position = tuple(self.positions_before[idx])
|
||||
|
||||
# Get units in that position
|
||||
indices = self.spatial_grid.get(position, []) + \
|
||||
self.spatial_grid_before.get(position, [])
|
||||
|
||||
# Remove duplicates and self
|
||||
indices = list(set(indices))
|
||||
if idx in indices:
|
||||
indices.remove(idx)
|
||||
|
||||
return [self.unit_ids[i] for i in indices]
|
||||
found = set()
|
||||
if pos in self.grid:
|
||||
found.update(self.grid[pos])
|
||||
if pos in self.grid_before:
|
||||
found.update(self.grid_before[pos])
|
||||
|
||||
found.discard(unit_id)
|
||||
return list(found)
|
||||
|
||||
@@ -0,0 +1,92 @@
|
||||
# Game constants and configuration
|
||||
|
||||
LEVEL_MUSIC_CONFIG = "level_music"
|
||||
START_MENU_MUSIC = "High_Score_Garden.mp3"
|
||||
RUN_COMPLETE_MUSIC = "Sunset_At_Pixel_Gardens.mp3"
|
||||
START_MENU_ANIMATION = "anim/start_mice.gif"
|
||||
SUPPORTED_MUSIC_EXTENSIONS = {".mp3", ".ogg", ".wav"}
|
||||
BASE_INITIAL_RATS = 5
|
||||
DEFAULT_DIFFICULTY = "easy"
|
||||
DIFFICULTY_ALIASES = {
|
||||
"medium": "normal",
|
||||
"normale": "normal",
|
||||
}
|
||||
START_MENU_AUDIO_OPTIONS = (
|
||||
("sound_volume", "Suono"),
|
||||
("music_volume", "Musica"),
|
||||
)
|
||||
VOLUME_STEP = 5
|
||||
|
||||
GAME_END_LEVEL_CLEAR = "level_clear"
|
||||
GAME_END_DEFEAT = "defeat"
|
||||
GAME_END_RUN_COMPLETE = "run_complete"
|
||||
|
||||
DIFFICULTY_OPTIONS = (
|
||||
{
|
||||
"key": "easy",
|
||||
"label": "Easy",
|
||||
"starting_rats_multiplier": 1,
|
||||
"speed_multiplier": 1.0,
|
||||
# Gas spread tick interval (higher = slower spread = less effective weapon).
|
||||
"gas_spread_speed": 40,
|
||||
# Multiplier applied to per-frame weapon refill probabilities.
|
||||
"weapon_refill_multiplier": 1.3,
|
||||
# Upper bound for babies per litter (random.randint(1, max_babies)).
|
||||
"max_babies": 2,
|
||||
# Stop ticks after mating for the male / the pregnant female.
|
||||
"mate_stop_male": 120,
|
||||
"mate_stop_female": 240,
|
||||
"fill": (235, 246, 234),
|
||||
"accent": (88, 148, 82),
|
||||
},
|
||||
{
|
||||
"key": "normal",
|
||||
"label": "Normal",
|
||||
"starting_rats_multiplier": 2,
|
||||
"speed_multiplier": 1.5,
|
||||
"gas_spread_speed": 50,
|
||||
"weapon_refill_multiplier": 1.0,
|
||||
"max_babies": 3,
|
||||
"mate_stop_male": 100,
|
||||
"mate_stop_female": 200,
|
||||
"fill": (252, 242, 223),
|
||||
"accent": (204, 146, 44),
|
||||
},
|
||||
{
|
||||
"key": "hard",
|
||||
"label": "Hard",
|
||||
"starting_rats_multiplier": 3,
|
||||
"speed_multiplier": 2.0,
|
||||
"gas_spread_speed": 90,
|
||||
"weapon_refill_multiplier": 0.6,
|
||||
"max_babies": 5,
|
||||
"mate_stop_male": 60,
|
||||
"mate_stop_female": 120,
|
||||
"fill": (251, 229, 229),
|
||||
"accent": (188, 68, 68),
|
||||
},
|
||||
)
|
||||
|
||||
DIFFICULTY_OPTIONS_BY_KEY = {option["key"]: option for option in DIFFICULTY_OPTIONS}
|
||||
|
||||
START_MENU_COLORS = {
|
||||
"panel_fill": (255, 255, 255),
|
||||
"panel_border": (52, 52, 52),
|
||||
"header_fill": (255, 255, 255),
|
||||
"text": (24, 24, 24),
|
||||
"muted": (82, 82, 82),
|
||||
"hint_fill": (255, 255, 255),
|
||||
"track_fill": (212, 215, 216),
|
||||
"card_fill": (255, 255, 255),
|
||||
}
|
||||
|
||||
START_MENU_AUDIO_STYLES = {
|
||||
"sound_volume": {
|
||||
"accent": (214, 146, 62),
|
||||
"fill": (251, 241, 225),
|
||||
},
|
||||
"music_volume": {
|
||||
"accent": (91, 122, 208),
|
||||
"fill": (230, 235, 248),
|
||||
},
|
||||
}
|
||||
+123
-51
@@ -8,6 +8,7 @@ from pathlib import Path
|
||||
import yaml
|
||||
|
||||
from runtime_paths import resolve_bundle_path
|
||||
from engine import state_machine
|
||||
|
||||
|
||||
DEFAULT_KEYBINDINGS_PROFILE = "pc"
|
||||
@@ -196,18 +197,65 @@ def resolve_keybindings(preferred_profile=None, preferred_file=None, render_engi
|
||||
|
||||
|
||||
class KeyBindings:
|
||||
def __init__(self, game):
|
||||
self.game = game
|
||||
self.bindings = {}
|
||||
|
||||
# Explicit action mapping for static-friendly dispatch (Nim-ready)
|
||||
self.action_dispatcher = {
|
||||
"spawn_rat": self.spawn_rat,
|
||||
"spawn_new_bomb": self.spawn_new_bomb,
|
||||
"spawn_new_mine": self.spawn_new_mine,
|
||||
"spawn_new_nuclear_bomb": self.spawn_new_nuclear_bomb,
|
||||
"spawn_new_gas": self.spawn_new_gas,
|
||||
"toggle_audio": self.toggle_audio,
|
||||
"toggle_pause": self.toggle_pause,
|
||||
"toggle_full_screen": self.toggle_full_screen,
|
||||
"quit_game": self.quit_game,
|
||||
"cheat_win_level": self.cheat_win_level,
|
||||
"menu_up": self.game.menu_up,
|
||||
"menu_down": self.game.menu_down,
|
||||
"menu_left": self.game.menu_left,
|
||||
"menu_right": self.game.menu_right,
|
||||
"reset_game": self.game.reset_game,
|
||||
"start_scrolling": self.start_scrolling,
|
||||
"stop_scrolling": self.stop_scrolling,
|
||||
}
|
||||
|
||||
def _binding_sections_for_action(self):
|
||||
game_end_active, game_end_reason = getattr(self.game, "game_end", (False, None))
|
||||
if game_end_active:
|
||||
if game_end_reason == "level_clear":
|
||||
return ["keybinding_level_clear", "keybinding_paused"]
|
||||
if game_end_reason == "defeat":
|
||||
return ["keybinding_defeat", "keybinding_paused"]
|
||||
if game_end_reason == "run_complete":
|
||||
return ["keybinding_run_complete", "keybinding_paused"]
|
||||
return ["keybinding_paused"]
|
||||
|
||||
if getattr(self.game, "game_status", None) == "start_menu":
|
||||
if getattr(self.game, "menu_screen", None) == "level_intro":
|
||||
return ["keybinding_level_intro", "keybinding_start_menu"]
|
||||
return ["keybinding_start_menu"]
|
||||
|
||||
status = getattr(self.game, "game_status", None)
|
||||
if status:
|
||||
return [f"keybinding_{status}"]
|
||||
|
||||
return []
|
||||
|
||||
def initialize_keybindings(self):
|
||||
preferred_profile = None
|
||||
preferred_file = None
|
||||
|
||||
if hasattr(self, "profile_integration") and self.profile_integration:
|
||||
preferred_profile = self.profile_integration.get_setting("keybindings_profile")
|
||||
preferred_file = self.profile_integration.get_setting("keybindings_file")
|
||||
if hasattr(self.game, "profile_integration") and self.game.profile_integration:
|
||||
preferred_profile = self.game.profile_integration.get_setting("keybindings_profile")
|
||||
preferred_file = self.game.profile_integration.get_setting("keybindings_file")
|
||||
|
||||
bindings, source_path, profile_name, reason = resolve_keybindings(
|
||||
preferred_profile=preferred_profile,
|
||||
preferred_file=preferred_file,
|
||||
render_engine=getattr(self, "render_engine", None),
|
||||
render_engine=getattr(self.game, "render_engine", None),
|
||||
)
|
||||
|
||||
self.bindings = self._validate_bindings(bindings, source_path)
|
||||
@@ -233,15 +281,14 @@ class KeyBindings:
|
||||
continue
|
||||
|
||||
method_name = value.split("|", 1)[0]
|
||||
method = getattr(self, method_name, None)
|
||||
if callable(method):
|
||||
if method_name in self.action_dispatcher:
|
||||
validated[section_name][action] = value
|
||||
continue
|
||||
|
||||
invalid_bindings += 1
|
||||
print(
|
||||
f"[input] ignoring binding {section_name}.{action} -> {value}: "
|
||||
f"missing method {method_name}"
|
||||
f"missing method {method_name} in dispatcher"
|
||||
)
|
||||
|
||||
if invalid_bindings:
|
||||
@@ -250,86 +297,111 @@ class KeyBindings:
|
||||
return validated
|
||||
|
||||
def trigger(self, action):
|
||||
if not hasattr(self, "bindings"):
|
||||
if not self.bindings:
|
||||
self.initialize_keybindings()
|
||||
|
||||
value = self.bindings.get(f"keybinding_{self.game_status}", {}).get(action)
|
||||
# Direct action dispatch: if the action name itself is a registered
|
||||
# dispatcher entry (e.g. cheat actions injected by the engine layer),
|
||||
# invoke it without requiring a keybinding entry.
|
||||
direct_method = self.action_dispatcher.get(action)
|
||||
if direct_method is not None and action not in ("spawn_rat",):
|
||||
# Only treat as direct when the action isn't also a normal key event
|
||||
# name. Key events look like "keydown_*" / "keyup_*" / etc.
|
||||
if not action.startswith(("keydown_", "keyup_", "joybutton", "joyhat", "controller", "mousemove")):
|
||||
direct_method()
|
||||
return None
|
||||
|
||||
value = None
|
||||
for section_name in self._binding_sections_for_action():
|
||||
value = self.bindings.get(section_name, {}).get(action)
|
||||
if value:
|
||||
break
|
||||
|
||||
if not value:
|
||||
return None
|
||||
|
||||
if "|" in value:
|
||||
method_name, *args = value.split("|")
|
||||
method = getattr(self, method_name, None)
|
||||
if callable(method):
|
||||
method = self.action_dispatcher.get(method_name)
|
||||
if method:
|
||||
method(*args)
|
||||
return None
|
||||
|
||||
method = getattr(self, value, None)
|
||||
if callable(method):
|
||||
method = self.action_dispatcher.get(value)
|
||||
if method:
|
||||
method()
|
||||
return None
|
||||
|
||||
|
||||
def cheat_win_level(self):
|
||||
"""Cheat handler: win the current level instantly (Ctrl+Return)."""
|
||||
if hasattr(self.game, "cheat_win_level"):
|
||||
self.game.cheat_win_level()
|
||||
|
||||
def spawn_rat(self):
|
||||
self.game.unit_manager.spawn_rat()
|
||||
|
||||
def spawn_new_bomb(self):
|
||||
self.spawn_bomb(self.pointer)
|
||||
self.game.unit_manager.spawn_bomb(self.game.pointer)
|
||||
|
||||
def spawn_new_mine(self):
|
||||
self.spawn_mine(self.pointer)
|
||||
self.game.unit_manager.spawn_mine(self.game.pointer)
|
||||
|
||||
def spawn_new_nuclear_bomb(self):
|
||||
self.spawn_nuclear_bomb(self.pointer)
|
||||
self.game.unit_manager.spawn_nuclear_bomb(self.game.pointer)
|
||||
|
||||
def spawn_new_gas(self):
|
||||
self.spawn_gas()
|
||||
self.game.unit_manager.spawn_gas()
|
||||
|
||||
def toggle_audio(self):
|
||||
self.render_engine.audio = not self.render_engine.audio
|
||||
self.audio = self.render_engine.audio
|
||||
if hasattr(self, "profile_integration") and self.profile_integration:
|
||||
self.profile_integration.set_setting("sound_enabled", self.audio)
|
||||
if not self.render_engine.audio:
|
||||
self.render_engine.stop_sound()
|
||||
self.game.render_engine.audio = not self.game.render_engine.audio
|
||||
self.game.audio = self.game.render_engine.audio
|
||||
if hasattr(self.game, "profile_integration") and self.game.profile_integration:
|
||||
self.game.profile_integration.set_setting("sound_enabled", self.game.audio)
|
||||
if not self.game.render_engine.audio:
|
||||
self.game.render_engine.stop_sound()
|
||||
|
||||
def toggle_pause(self):
|
||||
if getattr(self, "game_end", (False, None))[0]:
|
||||
if getattr(self.game, "game_end", (False, None))[0]:
|
||||
return
|
||||
|
||||
if self.game_status == "game":
|
||||
self.game_status = "paused"
|
||||
if self.game.state_machine.current_state == state_machine.GameState.PLAYING:
|
||||
self.game.state_machine.transition_to(state_machine.GameState.PAUSED)
|
||||
return
|
||||
|
||||
if self.game_status == "paused":
|
||||
self.game_status = "game"
|
||||
if self.game.state_machine.current_state == state_machine.GameState.PAUSED:
|
||||
self.game.state_machine.transition_to(state_machine.GameState.PLAYING)
|
||||
return
|
||||
|
||||
if self.game_status == "start_menu" and getattr(self, "menu_screen", None) == "start":
|
||||
self.reset_game()
|
||||
if self.game.state_machine.current_state == state_machine.GameState.START_MENU:
|
||||
self.game.reset_game()
|
||||
|
||||
def toggle_full_screen(self):
|
||||
self.full_screen = not self.full_screen
|
||||
self.render_engine.full_screen(self.full_screen)
|
||||
self.game.full_screen = not self.game.full_screen
|
||||
self.game.render_engine.full_screen(self.game.full_screen)
|
||||
|
||||
def quit_game(self):
|
||||
self.render_engine.close()
|
||||
self.game.render_engine.close()
|
||||
|
||||
def start_scrolling(self, direction):
|
||||
self.scrolling_direction = direction
|
||||
if not self.scrolling:
|
||||
self.scrolling = 1
|
||||
self.game.scrolling_direction = direction
|
||||
if not self.game.scrolling:
|
||||
self.game.scrolling = 1
|
||||
|
||||
def stop_scrolling(self):
|
||||
self.scrolling = 0
|
||||
self.game.scrolling = 0
|
||||
|
||||
def scroll(self):
|
||||
if self.scrolling:
|
||||
if not self.scrolling % 5:
|
||||
if self.scrolling_direction == "Up":
|
||||
self.scroll_cursor(y=-1)
|
||||
elif self.scrolling_direction == "Down":
|
||||
self.scroll_cursor(y=1)
|
||||
elif self.scrolling_direction == "Left":
|
||||
self.scroll_cursor(x=-1)
|
||||
elif self.scrolling_direction == "Right":
|
||||
self.scroll_cursor(x=1)
|
||||
self.scrolling += 1
|
||||
|
||||
if self.game.scrolling:
|
||||
if not self.game.scrolling % 5:
|
||||
if self.game.scrolling_direction == "Up":
|
||||
self.game.graphics.scroll_cursor(y=-1)
|
||||
elif self.game.scrolling_direction == "Down":
|
||||
self.game.graphics.scroll_cursor(y=1)
|
||||
elif self.game.scrolling_direction == "Left":
|
||||
self.game.graphics.scroll_cursor(x=-1)
|
||||
elif self.game.scrolling_direction == "Right":
|
||||
self.game.graphics.scroll_cursor(x=1)
|
||||
self.game.scrolling += 1
|
||||
|
||||
def axis_scroll(self, x, y):
|
||||
self.scroll_cursor(1 if x > 0 else -1, 1 if y > 0 else -1)
|
||||
self.game.graphics.scroll_cursor(1 if x > 0 else -1, 1 if y > 0 else -1)
|
||||
+470
-100
@@ -1,16 +1,21 @@
|
||||
import os
|
||||
import random
|
||||
import time
|
||||
|
||||
from engine import maze
|
||||
from engine import maze, config
|
||||
from engine.collision_system import CollisionLayer
|
||||
from runtime_paths import bundle_path
|
||||
|
||||
class Graphics():
|
||||
class Graphics:
|
||||
def __init__(self, game):
|
||||
self.game = game
|
||||
self.loaded_theme_index = None
|
||||
|
||||
def load_assets(self):
|
||||
theme_index = self.get_theme_index()
|
||||
print(f"[gfx] load_assets requested: level={self.current_level + 1} theme={theme_index}")
|
||||
if getattr(self, "startup_loading_active", False):
|
||||
self._update_startup_loading(
|
||||
print(f"[gfx] load_assets requested: level={self.game.current_level + 1} theme={theme_index}")
|
||||
if getattr(self.game, "startup_loading_active", False):
|
||||
self.game._update_startup_loading(
|
||||
"Loading graphics",
|
||||
detail=f"Preparing theme {theme_index}",
|
||||
progress=0.3,
|
||||
@@ -21,11 +26,13 @@ class Graphics():
|
||||
self.blood_layer_sprites = []
|
||||
if not hasattr(self, "cave_foreground_tiles"):
|
||||
self.cave_foreground_tiles = []
|
||||
if not hasattr(self, "tunnel_cover_texture"):
|
||||
self.tunnel_cover_texture = None
|
||||
|
||||
if not getattr(self, "common_assets_loaded", False):
|
||||
print("Loading graphics assets...")
|
||||
if getattr(self, "startup_loading_active", False):
|
||||
self._update_startup_loading(
|
||||
if getattr(self.game, "startup_loading_active", False):
|
||||
self.game._update_startup_loading(
|
||||
"Loading graphics",
|
||||
detail="Decoding sprites and tiles",
|
||||
progress=0.4,
|
||||
@@ -41,12 +48,12 @@ class Graphics():
|
||||
self.rat_assets_textures[sex] = {}
|
||||
self.rat_image_sizes[sex] = {}
|
||||
for direction in ["UP", "DOWN", "LEFT", "RIGHT"]:
|
||||
self.rat_assets[sex][direction] = self.render_engine.load_image(
|
||||
self.rat_assets[sex][direction] = self.game.render_engine.load_image(
|
||||
f"Rat/BMP_{sex}_{direction}.png",
|
||||
transparent_color=((125, 125, 125), (128, 128, 128)),
|
||||
scale=False,
|
||||
)
|
||||
texture = self.render_engine.load_image(
|
||||
texture = self.game.render_engine.load_image(
|
||||
f"Rat/BMP_{sex}_{direction}.png",
|
||||
transparent_color=((125, 125, 125), (128, 128, 128)),
|
||||
surface=False,
|
||||
@@ -56,30 +63,36 @@ class Graphics():
|
||||
self.rat_image_sizes[sex][direction] = (texture.size[0] // 4, texture.size[1])
|
||||
|
||||
for n in range(5):
|
||||
self.bomb_assets[n] = self.render_engine.load_image(
|
||||
self.bomb_assets[n] = self.game.render_engine.load_image(
|
||||
f"Rat/BMP_BOMB{n}.png",
|
||||
transparent_color=((125, 125, 125), (128, 128, 128)),
|
||||
)
|
||||
|
||||
rat_asset_dir = bundle_path("assets", "Rat")
|
||||
for file in os.listdir(rat_asset_dir):
|
||||
if file.endswith(".png"):
|
||||
self.assets[file[:-4]] = self.render_engine.load_image(
|
||||
f"Rat/{file}",
|
||||
transparent_color=((125, 125, 125), (128, 128, 128)),
|
||||
)
|
||||
for file in sorted(os.listdir(rat_asset_dir)):
|
||||
if file.endswith(".png") and not file.startswith("."):
|
||||
# Check if it's one of our expected BMP files or other known assets
|
||||
# to avoid loading temporary or irrelevant PNGs
|
||||
file_key = file[:-4]
|
||||
try:
|
||||
self.assets[file_key] = self.game.render_engine.load_image(
|
||||
f"Rat/{file}",
|
||||
transparent_color=((125, 125, 125), (128, 128, 128)),
|
||||
)
|
||||
except (FileNotFoundError, IOError) as e:
|
||||
print(f"Warning: Could not load asset {file}: {e}")
|
||||
|
||||
print("Pre-generating blood stain pool...")
|
||||
if getattr(self, "startup_loading_active", False):
|
||||
self._update_startup_loading(
|
||||
if getattr(self.game, "startup_loading_active", False):
|
||||
self.game._update_startup_loading(
|
||||
"Loading graphics",
|
||||
detail="Generating blood pool",
|
||||
progress=0.58,
|
||||
)
|
||||
self.blood_stain_textures = []
|
||||
for _ in range(10):
|
||||
blood_surface = self.render_engine.generate_blood_surface()
|
||||
blood_texture = self.render_engine.draw_blood_surface(blood_surface, (0, 0))
|
||||
blood_surface = self.game.render_engine.generate_blood_surface()
|
||||
blood_texture = self.game.render_engine.draw_blood_surface(blood_surface, (0, 0))
|
||||
if blood_texture:
|
||||
self.blood_stain_textures.append(blood_texture)
|
||||
|
||||
@@ -90,33 +103,33 @@ class Graphics():
|
||||
|
||||
if theme_index not in self.theme_assets_cache:
|
||||
print(f"Loading theme assets {theme_index}...")
|
||||
if getattr(self, "startup_loading_active", False):
|
||||
self._update_startup_loading(
|
||||
if getattr(self.game, "startup_loading_active", False):
|
||||
self.game._update_startup_loading(
|
||||
"Loading graphics",
|
||||
detail=f"Loading theme {theme_index} art",
|
||||
progress=0.74,
|
||||
)
|
||||
self.theme_assets_cache[theme_index] = {
|
||||
"floor_tile": self.render_engine.create_color_surface((128, 128, 128)),
|
||||
"tunnel": self.render_engine.load_image("Rat/BMP_TUNNEL.png"),
|
||||
"floor_tile": self.game.render_engine.create_color_surface((128, 128, 128)),
|
||||
"tunnel": self.game.render_engine.load_image("Rat/BMP_TUNNEL.png"),
|
||||
"grasses": [
|
||||
self.render_engine.load_image(f"Rat/BMP_{theme_index}_GRASS_{i+1}.png", surface=True)
|
||||
self.game.render_engine.load_image(f"Rat/BMP_{theme_index}_GRASS_{i+1}.png", surface=True)
|
||||
for i in range(4)
|
||||
],
|
||||
"grass_textures": [
|
||||
self.render_engine.load_image(f"Rat/BMP_{theme_index}_GRASS_{i+1}.png")
|
||||
self.game.render_engine.load_image(f"Rat/BMP_{theme_index}_GRASS_{i+1}.png")
|
||||
for i in range(4)
|
||||
],
|
||||
"flowers": [
|
||||
self.render_engine.load_image(f"Rat/BMP_{theme_index}_FLOWER_{i+1}.png", surface=True)
|
||||
self.game.render_engine.load_image(f"Rat/BMP_{theme_index}_FLOWER_{i+1}.png", surface=True)
|
||||
for i in range(4)
|
||||
],
|
||||
"flower_textures": [
|
||||
self.render_engine.load_image(f"Rat/BMP_{theme_index}_FLOWER_{i+1}.png")
|
||||
self.game.render_engine.load_image(f"Rat/BMP_{theme_index}_FLOWER_{i+1}.png")
|
||||
for i in range(4)
|
||||
],
|
||||
"caves": {
|
||||
direction: self.render_engine.load_image(
|
||||
direction: self.game.render_engine.load_image(
|
||||
f"Rat/BMP_{theme_index}_CAVE_{direction}.png",
|
||||
transparent_color=((125, 125, 125), (128, 128, 128)),
|
||||
surface=False,
|
||||
@@ -124,7 +137,7 @@ class Graphics():
|
||||
for direction in ["UP", "DOWN", "LEFT", "RIGHT"]
|
||||
},
|
||||
"explosions": {
|
||||
direction: self.render_engine.load_image(
|
||||
direction: self.game.render_engine.load_image(
|
||||
f"Rat/BMP_{theme_index}_EXPLOSION_{direction}.png",
|
||||
transparent_color=((125, 125, 125), (128, 128, 128)),
|
||||
surface=False,
|
||||
@@ -132,15 +145,15 @@ class Graphics():
|
||||
for direction in ["UP", "DOWN", "LEFT", "RIGHT"]
|
||||
},
|
||||
"edges": {
|
||||
direction: self.render_engine.load_image(f"Rat/BMP_{theme_index}_{direction}.png", surface=True)
|
||||
direction: self.game.render_engine.load_image(f"Rat/BMP_{theme_index}_{direction}.png", surface=True)
|
||||
for direction in ["N", "S", "E", "W"]
|
||||
},
|
||||
"corners": {
|
||||
direction: self.render_engine.load_image(f"Rat/BMP_{theme_index}_{direction}.png", surface=True)
|
||||
direction: self.game.render_engine.load_image(f"Rat/BMP_{theme_index}_{direction}.png", surface=True)
|
||||
for direction in ["NE", "NW", "SE", "SW"]
|
||||
},
|
||||
"inner_corners": {
|
||||
direction: self.render_engine.load_image(f"Rat/BMP_{theme_index}_{direction}.png", surface=True)
|
||||
direction: self.game.render_engine.load_image(f"Rat/BMP_{theme_index}_{direction}.png", surface=True)
|
||||
for direction in ["EN", "ES", "WN", "WS"]
|
||||
},
|
||||
}
|
||||
@@ -148,8 +161,8 @@ class Graphics():
|
||||
else:
|
||||
print(f"[gfx] theme cache hit -> reusing theme {theme_index}")
|
||||
|
||||
if getattr(self, "startup_loading_active", False):
|
||||
self._update_startup_loading(
|
||||
if getattr(self.game, "startup_loading_active", False):
|
||||
self.game._update_startup_loading(
|
||||
"Loading graphics",
|
||||
detail="Finishing render setup",
|
||||
progress=0.84,
|
||||
@@ -170,27 +183,66 @@ class Graphics():
|
||||
self.inner_corners = theme_assets["inner_corners"]
|
||||
|
||||
def get_theme_index(self):
|
||||
return self.current_level % 32 // 8 + 1
|
||||
return self.game.current_level % 32 // 8 + 1
|
||||
|
||||
|
||||
|
||||
# ==================== RENDERING ====================
|
||||
|
||||
def draw_maze(self):
|
||||
if self.background_texture is None:
|
||||
print(f"[gfx] generating background texture for level={self.current_level + 1} theme={self.loaded_theme_index}")
|
||||
if self.game.background_texture is None:
|
||||
print(f"[gfx] generating background texture for level={self.game.current_level + 1} theme={self.loaded_theme_index}")
|
||||
self.regenerate_background()
|
||||
self.render_engine.draw_background(self.background_texture)
|
||||
self.game.render_engine.draw_background(self.game.background_texture)
|
||||
|
||||
# Draw blood layer as sprites (optimized - no background regeneration)
|
||||
self.draw_blood_layer()
|
||||
|
||||
def regenerate_tunnel_cover(self):
|
||||
"""Generate an overlay texture that covers internal tunnel passages with grass sub-tiles.
|
||||
|
||||
A tunnel cell is considered an internal passage only when it is surrounded
|
||||
by occupied cells (walls or tunnels) on all four sides. In that case there is
|
||||
no cave entrance drawn by cave_foreground, so we cover it here.
|
||||
"""
|
||||
tunnel_tiles = []
|
||||
half_cell = self.game.cell_size // 2
|
||||
|
||||
def occupied(x, y):
|
||||
return self.game.map.in_bounds(x, y) and self.game.map.get_cell(x, y) != maze.MAP_EMPTY
|
||||
|
||||
for y, row in enumerate(self.game.map.tiles):
|
||||
for x, cell in enumerate(row):
|
||||
if cell != maze.MAP_TUNNEL:
|
||||
continue
|
||||
|
||||
above = occupied(x, y - 1)
|
||||
below = occupied(x, y + 1)
|
||||
left = occupied(x - 1, y)
|
||||
right = occupied(x + 1, y)
|
||||
|
||||
if not (above and below and left and right):
|
||||
continue
|
||||
|
||||
px = x * self.game.cell_size
|
||||
py = y * self.game.cell_size
|
||||
for qx, qy, sx, sy in [
|
||||
(0, 0, 0, 0),
|
||||
(half_cell, 0, half_cell, 0),
|
||||
(0, half_cell, 0, half_cell),
|
||||
(half_cell, half_cell, half_cell, half_cell),
|
||||
]:
|
||||
grass = random.choice(self.grasses)
|
||||
tunnel_tiles.append((grass, sx, sy, half_cell, half_cell, px + qx, py + qy))
|
||||
|
||||
self.tunnel_cover_texture = self.game.render_engine.create_overlay_texture(tunnel_tiles)
|
||||
|
||||
def draw_cave_foreground(self):
|
||||
active_cave_explosions = {}
|
||||
for unit in self.units.values():
|
||||
for unit in self.game.units.values():
|
||||
if unit.collision_layer != CollisionLayer.EXPLOSION:
|
||||
continue
|
||||
if not self.map.is_tunnel(*unit.position):
|
||||
if not self.game.map.is_tunnel(*unit.position):
|
||||
continue
|
||||
active_cave_explosions[unit.position] = getattr(unit, "cave_direction", None)
|
||||
|
||||
@@ -198,30 +250,35 @@ class Graphics():
|
||||
if (cell_x, cell_y) in active_cave_explosions:
|
||||
explosion_direction = active_cave_explosions[(cell_x, cell_y)] or direction
|
||||
surface = self.explosions.get(explosion_direction, surface)
|
||||
self.render_engine.draw_image(x, y, surface, anchor="nw", tag="cave")
|
||||
self.game.render_engine.draw_image(x, y, surface, anchor="nw", tag="cave")
|
||||
|
||||
def draw_blood_layer(self):
|
||||
"""Draw all blood stains as sprites overlay (optimized)"""
|
||||
for blood_texture, x, y in self.blood_layer_sprites:
|
||||
self.render_engine.draw_image(x, y, blood_texture, tag="blood")
|
||||
self.game.render_engine.draw_image(x, y, blood_texture, tag="blood")
|
||||
|
||||
def regenerate_background(self):
|
||||
"""Generate or regenerate the background texture (static - no blood stains)"""
|
||||
texture_tiles = []
|
||||
self.cave_foreground_tiles = []
|
||||
half_cell = self.cell_size // 2
|
||||
self.regenerate_tunnel_cover()
|
||||
half_cell = self.game.cell_size // 2
|
||||
|
||||
def draw(surface, x, y):
|
||||
texture_tiles.append((surface, x, y))
|
||||
return True # allow callers to count successful draws
|
||||
|
||||
def draw_cave(surface, x, y, direction):
|
||||
self.cave_foreground_tiles.append((x // self.cell_size, y // self.cell_size, direction, surface, x, y))
|
||||
self.cave_foreground_tiles.append((x // self.game.cell_size, y // self.game.cell_size, direction, surface, x, y))
|
||||
|
||||
def occupied(x, y):
|
||||
return self.map.in_bounds(x, y) and self.map.get_cell(x, y) != maze.MAP_EMPTY
|
||||
return self.game.map.in_bounds(x, y) and self.game.map.get_cell(x, y) != maze.MAP_EMPTY
|
||||
|
||||
def is_wall(x, y):
|
||||
return self.game.map.in_bounds(x, y) and self.game.map.get_cell(x, y) == maze.MAP_WALL
|
||||
|
||||
def is_tunnel(x, y):
|
||||
return self.map.in_bounds(x, y) and self.map.get_cell(x, y) == maze.MAP_TUNNEL
|
||||
return self.game.map.in_bounds(x, y) and self.game.map.get_cell(x, y) == maze.MAP_TUNNEL
|
||||
|
||||
def random_wall():
|
||||
return random.choice(self.grasses)
|
||||
@@ -234,84 +291,95 @@ class Graphics():
|
||||
|
||||
def random_flower_texture():
|
||||
return random.choice(self.flower_textures)
|
||||
for y, row in enumerate(self.map.tiles):
|
||||
for y, row in enumerate(self.game.map.tiles):
|
||||
for x, cell in enumerate(row):
|
||||
px = x * self.cell_size
|
||||
py = y * self.cell_size
|
||||
px = x * self.game.cell_size
|
||||
py = y * self.game.cell_size
|
||||
|
||||
if cell == maze.MAP_EMPTY:
|
||||
continue
|
||||
|
||||
if cell == maze.MAP_WALL:
|
||||
if x == 0 or y == 0 or x == self.map.width - 1 or y == self.map.height - 1:
|
||||
draw(random_wall(), px, py)
|
||||
wall_tiles_drawn = 0
|
||||
|
||||
if x > 0 and y > 0 and (not occupied(x - 1, y - 1) or not occupied(x, y - 1) or not occupied(x - 1, y)):
|
||||
north = occupied(x, y - 1)
|
||||
west = occupied(x - 1, y)
|
||||
def draw_wall(surface, x, y):
|
||||
nonlocal wall_tiles_drawn
|
||||
draw(surface, x, y)
|
||||
wall_tiles_drawn += 1
|
||||
|
||||
if x == 0 or y == 0 or x == self.game.map.width - 1 or y == self.game.map.height - 1:
|
||||
draw_wall(random_wall(), px, py)
|
||||
|
||||
if x > 0 and y > 0 and (not is_wall(x - 1, y - 1) or not is_wall(x, y - 1) or not is_wall(x - 1, y)):
|
||||
north = is_wall(x, y - 1)
|
||||
west = is_wall(x - 1, y)
|
||||
if north or west:
|
||||
if north and west:
|
||||
draw(self.inner_corners["WN"], px, py)
|
||||
draw_wall(self.inner_corners["WN"], px, py)
|
||||
elif north and not west:
|
||||
draw(self.edges["W"], px, py)
|
||||
draw_wall(self.edges["W"], px, py)
|
||||
else:
|
||||
draw(self.edges["N"], px, py)
|
||||
draw_wall(self.edges["N"], px, py)
|
||||
else:
|
||||
draw(self.corners["NW"], px, py)
|
||||
draw_wall(self.corners["NW"], px, py)
|
||||
|
||||
if y < self.map.height - 1 and x < self.map.width - 1:
|
||||
south = occupied(x, y + 1)
|
||||
east = occupied(x + 1, y)
|
||||
southeast = occupied(x + 1, y + 1)
|
||||
if y < self.game.map.height - 1 and x < self.game.map.width - 1:
|
||||
south = is_wall(x, y + 1)
|
||||
east = is_wall(x + 1, y)
|
||||
southeast = is_wall(x + 1, y + 1)
|
||||
if southeast and south and east:
|
||||
if (
|
||||
random.randrange(10) != 0
|
||||
or x == 0
|
||||
or y == 0
|
||||
or x == self.map.width - 2
|
||||
or y == self.map.height - 2
|
||||
or x == self.game.map.width - 2
|
||||
or y == self.game.map.height - 2
|
||||
or is_tunnel(x + 1, y)
|
||||
or is_tunnel(x, y + 1)
|
||||
or is_tunnel(x + 1, y + 1)
|
||||
):
|
||||
draw(random_wall(), px + half_cell, py + half_cell)
|
||||
draw_wall(random_wall(), px + half_cell, py + half_cell)
|
||||
else:
|
||||
draw(random_flower(), px + half_cell, py + half_cell)
|
||||
draw_wall(random_flower(), px + half_cell, py + half_cell)
|
||||
elif south or east:
|
||||
if south and east:
|
||||
draw(self.inner_corners["ES"], px + half_cell, py + half_cell)
|
||||
draw_wall(self.inner_corners["ES"], px + half_cell, py + half_cell)
|
||||
elif south and not east:
|
||||
draw(self.edges["E"], px + half_cell, py + half_cell)
|
||||
draw_wall(self.edges["E"], px + half_cell, py + half_cell)
|
||||
else:
|
||||
draw(self.edges["S"], px + half_cell, py + half_cell)
|
||||
draw_wall(self.edges["S"], px + half_cell, py + half_cell)
|
||||
else:
|
||||
draw(self.corners["SE"], px + half_cell, py + half_cell)
|
||||
draw_wall(self.corners["SE"], px + half_cell, py + half_cell)
|
||||
|
||||
if y > 0 and x < self.map.width - 1 and (not occupied(x + 1, y - 1) or not occupied(x, y - 1) or not occupied(x + 1, y)):
|
||||
north = occupied(x, y - 1)
|
||||
east = occupied(x + 1, y)
|
||||
if y > 0 and x < self.game.map.width - 1 and (not is_wall(x + 1, y - 1) or not is_wall(x, y - 1) or not is_wall(x + 1, y)):
|
||||
north = is_wall(x, y - 1)
|
||||
east = is_wall(x + 1, y)
|
||||
if north or east:
|
||||
if north and east:
|
||||
draw(self.inner_corners["EN"], px + half_cell, py)
|
||||
draw_wall(self.inner_corners["EN"], px + half_cell, py)
|
||||
elif north and not east:
|
||||
draw(self.edges["E"], px + half_cell, py)
|
||||
draw_wall(self.edges["E"], px + half_cell, py)
|
||||
else:
|
||||
draw(self.edges["N"], px + half_cell, py)
|
||||
draw_wall(self.edges["N"], px + half_cell, py)
|
||||
else:
|
||||
draw(self.corners["NE"], px + half_cell, py)
|
||||
draw_wall(self.corners["NE"], px + half_cell, py)
|
||||
|
||||
if y < self.map.height - 1 and x > 0 and (not occupied(x - 1, y + 1) or not occupied(x, y + 1) or not occupied(x - 1, y)):
|
||||
south = occupied(x, y + 1)
|
||||
west = occupied(x - 1, y)
|
||||
if y < self.game.map.height - 1 and x > 0 and (not is_wall(x - 1, y + 1) or not is_wall(x, y + 1) or not is_wall(x - 1, y)):
|
||||
south = is_wall(x, y + 1)
|
||||
west = is_wall(x - 1, y)
|
||||
if south or west:
|
||||
if south and west:
|
||||
draw(self.inner_corners["WS"], px, py + half_cell)
|
||||
draw_wall(self.inner_corners["WS"], px, py + half_cell)
|
||||
elif south and not west:
|
||||
draw(self.edges["W"], px, py + half_cell)
|
||||
draw_wall(self.edges["W"], px, py + half_cell)
|
||||
else:
|
||||
draw(self.edges["S"], px, py + half_cell)
|
||||
draw_wall(self.edges["S"], px, py + half_cell)
|
||||
else:
|
||||
draw(self.corners["SW"], px, py + half_cell)
|
||||
draw_wall(self.corners["SW"], px, py + half_cell)
|
||||
|
||||
# Fallback: isolated/surrounded wall cells must not show background color
|
||||
if wall_tiles_drawn == 0:
|
||||
draw(random_wall(), px, py)
|
||||
|
||||
elif cell == maze.MAP_TUNNEL:
|
||||
above = occupied(x, y - 1)
|
||||
@@ -323,43 +391,345 @@ class Graphics():
|
||||
if below:
|
||||
if left:
|
||||
if right:
|
||||
if random.randrange(10) != 0:
|
||||
draw_cave(random_wall_texture(), px + half_cell, py + half_cell, None)
|
||||
else:
|
||||
draw_cave(random_flower_texture(), px + half_cell, py + half_cell, None)
|
||||
# Internal tunnel passage: leave it empty so it uses
|
||||
# the background fill color and stays visually open.
|
||||
pass
|
||||
else:
|
||||
draw_cave(self.caves["RIGHT"], px, py, "RIGHT")
|
||||
else:
|
||||
draw(self.grasses[0], px + half_cell, py + half_cell)
|
||||
draw_cave(self.caves["LEFT"], px, py, "LEFT")
|
||||
else:
|
||||
draw_cave(self.caves["DOWN"], px, py, "DOWN")
|
||||
else:
|
||||
draw(self.grasses[0], px + half_cell, py + half_cell)
|
||||
draw_cave(self.caves["UP"], px, py, "UP")
|
||||
|
||||
# Blood stains now handled separately as overlay layer
|
||||
self.background_texture = self.render_engine.create_texture(texture_tiles, fill_color=(128, 128, 128))
|
||||
self.game.background_texture = self.game.render_engine.create_texture(texture_tiles, fill_color=(128, 128, 128))
|
||||
|
||||
def add_blood_stain(self, position):
|
||||
"""Add a blood stain as sprite overlay (opti mized - no background regeneration)"""
|
||||
"""Add a blood stain as sprite overlay (optimized - no background regeneration)"""
|
||||
# Pick random blood texture from pre-generated pool
|
||||
if not self.blood_stain_textures:
|
||||
return
|
||||
|
||||
blood_texture = random.choice(self.blood_stain_textures)
|
||||
x = position[0] * self.cell_size
|
||||
y = position[1] * self.cell_size
|
||||
x = position[0] * self.game.cell_size
|
||||
y = position[1] * self.game.cell_size
|
||||
|
||||
# Add to blood layer sprites instead of regenerating background
|
||||
self.blood_layer_sprites.append((blood_texture, x, y))
|
||||
|
||||
def scroll_cursor(self, x=0, y=0):
|
||||
if self.pointer[0] + x > self.map.width or self.pointer[1] + y > self.map.height:
|
||||
if self.game.pointer[0] + x > self.game.map.width or self.game.pointer[1] + y > self.game.map.height:
|
||||
return
|
||||
|
||||
self.pointer = (
|
||||
max(1, min(self.map.width-2, self.pointer[0] + x)),
|
||||
max(1, min(self.map.height-2, self.pointer[1] + y))
|
||||
self.game.pointer = (
|
||||
max(1, min(self.game.map.width-2, self.game.pointer[0] + x)),
|
||||
max(1, min(self.game.map.height-2, self.game.pointer[1] + y))
|
||||
)
|
||||
self.game.render_engine.scroll_view(self.game.pointer)
|
||||
|
||||
# ==================== MENU RENDERING ====================
|
||||
|
||||
def _menu_font(self, size):
|
||||
clamped = max(10, min(69, int(size)))
|
||||
return self.game.render_engine.fonts[clamped]
|
||||
|
||||
def _draw_start_menu_difficulty_selector(self, x, y, width, height):
|
||||
colors = config.START_MENU_COLORS
|
||||
difficulty_config = self.game._difficulty_config()
|
||||
accent = difficulty_config["accent"]
|
||||
render_engine = self.game.render_engine
|
||||
center_x = x + width // 2
|
||||
compact_selector = height <= 72
|
||||
title_font = self._menu_font(render_engine.target_size[1] // 38)
|
||||
value_font = self._menu_font(render_engine.target_size[1] // 23)
|
||||
arrow_font = value_font
|
||||
section_gap = 4 if compact_selector else 6
|
||||
title_line_height = max(14, render_engine.target_size[1] // 32)
|
||||
value_line_height = max(18, render_engine.target_size[1] // 24)
|
||||
current_y = y + 2
|
||||
|
||||
render_engine.draw_text("Difficulty", title_font, ("center", current_y), colors["muted"])
|
||||
current_y += title_line_height + section_gap
|
||||
|
||||
arrow_offset = max(34, min(52, width // 7))
|
||||
arrow_y = current_y - (1 if compact_selector else 0)
|
||||
render_engine.draw_text("<", arrow_font, (center_x - arrow_offset, arrow_y), colors["muted"])
|
||||
render_engine.draw_text(">", arrow_font, (center_x + arrow_offset, arrow_y), colors["muted"])
|
||||
|
||||
render_engine.draw_text(
|
||||
difficulty_config["label"],
|
||||
value_font,
|
||||
("center", current_y),
|
||||
accent,
|
||||
)
|
||||
current_y += value_line_height
|
||||
|
||||
def _draw_start_menu_slider(self, x, y, width, height, setting_name, label, value, selected):
|
||||
colors = config.START_MENU_COLORS
|
||||
style = config.START_MENU_AUDIO_STYLES[setting_name]
|
||||
accent = style["accent"]
|
||||
fill_color = style["fill"] if selected else colors["card_fill"]
|
||||
border_color = accent if selected else (156, 156, 156)
|
||||
text_color = colors["text"]
|
||||
render_engine = self.game.render_engine
|
||||
|
||||
render_engine.draw_rectangle(x, y, width, height, "start_menu_slider", filling=fill_color)
|
||||
render_engine.draw_rectangle(x, y, width, height, "start_menu_slider", outline=border_color)
|
||||
|
||||
if selected:
|
||||
render_engine.draw_rectangle(x + 12, y + 10, 8, height - 20, "start_menu_slider", filling=accent)
|
||||
|
||||
title_y = y + 10
|
||||
render_engine.draw_text(label, self._menu_font(render_engine.target_size[1] // 32), (x + 34, title_y), text_color)
|
||||
render_engine.draw_text(f"{value}%", self._menu_font(render_engine.target_size[1] // 34), (x + width - 84, title_y + 2), text_color)
|
||||
|
||||
track_x = x + 34
|
||||
track_y = y + height - 26
|
||||
track_width = width - 68
|
||||
track_height = 14
|
||||
filled_width = int(track_width * value / 100)
|
||||
knob_width = 14
|
||||
knob_x = track_x + int((track_width - knob_width) * value / 100)
|
||||
|
||||
render_engine.draw_rectangle(track_x, track_y, track_width, track_height, "start_menu_slider", filling=colors["track_fill"])
|
||||
render_engine.draw_rectangle(track_x, track_y, track_width, track_height, "start_menu_slider", outline=(128, 128, 128))
|
||||
if filled_width > 0:
|
||||
render_engine.draw_rectangle(track_x, track_y, filled_width, track_height, "start_menu_slider", filling=accent)
|
||||
render_engine.draw_rectangle(knob_x, track_y - 4, knob_width, track_height + 8, "start_menu_slider", filling=(255, 255, 255))
|
||||
render_engine.draw_rectangle(knob_x, track_y - 4, knob_width, track_height + 8, "start_menu_slider", outline=accent)
|
||||
|
||||
def _current_start_menu_animation_frame(self):
|
||||
animation = getattr(self.game, "start_menu_animation", None)
|
||||
if not animation or not animation["frames"]:
|
||||
return None, (0, 0)
|
||||
|
||||
if len(animation["frames"]) == 1 or animation["total_duration"] <= 0:
|
||||
return animation["frames"][0], animation["size"]
|
||||
|
||||
elapsed_ms = int((time.monotonic() - self.game.start_menu_animation_started_at) * 1000)
|
||||
current_offset = elapsed_ms % animation["total_duration"]
|
||||
accumulated = 0
|
||||
for index, duration in enumerate(animation["durations"]):
|
||||
accumulated += duration
|
||||
if current_offset < accumulated:
|
||||
return animation["frames"][index], animation["size"]
|
||||
|
||||
return animation["frames"][-1], animation["size"]
|
||||
|
||||
def _render_audio_menu(self, title, subtitle_lines, primary_action_text, hint_text, image_name="BMP_WEWIN"):
|
||||
colors = config.START_MENU_COLORS
|
||||
render_engine = self.game.render_engine
|
||||
target_width, target_height = render_engine.target_size
|
||||
compact_menu = target_height <= 540
|
||||
panel_x = max(48, target_width // 12)
|
||||
panel_y = max(34, target_height // 18)
|
||||
panel_width = target_width - panel_x * 2
|
||||
panel_height = target_height - panel_y * 2
|
||||
header_height = max(44, target_height // 13)
|
||||
|
||||
render_engine.draw_rectangle(panel_x, panel_y, panel_width, panel_height, "start_menu", filling=colors["panel_fill"])
|
||||
render_engine.draw_rectangle(panel_x, panel_y, panel_width, panel_height, "start_menu", outline=colors["panel_border"])
|
||||
render_engine.draw_rectangle(panel_x, panel_y, panel_width, header_height, "start_menu", filling=colors["header_fill"])
|
||||
render_engine.draw_text(
|
||||
title,
|
||||
self._menu_font(target_height // 20),
|
||||
("center", panel_y + 16),
|
||||
colors["text"],
|
||||
)
|
||||
|
||||
image = self.assets[image_name]
|
||||
image_width, image_height = render_engine.get_image_size(image)
|
||||
image_y = panel_y + header_height + (14 if compact_menu else 18)
|
||||
render_engine.draw_image(
|
||||
target_width // 2 - image_width // 2 - render_engine.w_offset,
|
||||
image_y - render_engine.h_offset,
|
||||
image,
|
||||
"start_menu",
|
||||
)
|
||||
|
||||
info_y = image_y + image_height + 18
|
||||
line_gap = 18 if compact_menu else max(20, target_height // 34)
|
||||
for index, line in enumerate(subtitle_lines):
|
||||
render_engine.draw_text(
|
||||
line,
|
||||
self._menu_font(target_height // (34 if index == 0 else 36)),
|
||||
("center", info_y + line_gap * index),
|
||||
colors["text"] if index == 0 else colors["muted"],
|
||||
)
|
||||
|
||||
cta_y = info_y + line_gap * len(subtitle_lines) + 8
|
||||
render_engine.draw_text(
|
||||
primary_action_text,
|
||||
self._menu_font(target_height // 31),
|
||||
("center", cta_y),
|
||||
colors["text"],
|
||||
)
|
||||
|
||||
card_width = max(320, min(panel_width - 160, 720))
|
||||
card_height = 60 if compact_menu else max(68, target_height // 10)
|
||||
card_x = target_width // 2 - card_width // 2
|
||||
cards_y = cta_y + (16 if compact_menu else 26)
|
||||
card_gap = 12 if compact_menu else 16
|
||||
for index, (setting_name, label) in enumerate(config.START_MENU_AUDIO_OPTIONS):
|
||||
card_y = cards_y + index * (card_height + card_gap)
|
||||
self._draw_start_menu_slider(
|
||||
card_x,
|
||||
card_y,
|
||||
card_width,
|
||||
card_height,
|
||||
setting_name,
|
||||
label,
|
||||
getattr(self.game, setting_name),
|
||||
index == self.game.start_menu_selection,
|
||||
)
|
||||
|
||||
cards_bottom = cards_y + len(config.START_MENU_AUDIO_OPTIONS) * card_height + (len(config.START_MENU_AUDIO_OPTIONS) - 1) * card_gap
|
||||
if compact_menu:
|
||||
hint_y = min(cards_bottom + 8, panel_y + panel_height - 28)
|
||||
render_engine.draw_text(
|
||||
hint_text,
|
||||
self._menu_font(target_height // 42),
|
||||
("center", hint_y),
|
||||
colors["muted"],
|
||||
)
|
||||
else:
|
||||
hint_y = cards_bottom + 10
|
||||
hint_height = max(34, target_height // 18)
|
||||
hint_width = card_width
|
||||
hint_x = card_x
|
||||
render_engine.draw_rectangle(hint_x, hint_y, hint_width, hint_height, "start_menu", filling=colors["hint_fill"])
|
||||
render_engine.draw_rectangle(hint_x, hint_y, hint_width, hint_height, "start_menu", outline=(170, 170, 170))
|
||||
render_engine.draw_text(
|
||||
hint_text,
|
||||
self._menu_font(target_height // 40),
|
||||
("center", hint_y + 10),
|
||||
colors["muted"],
|
||||
)
|
||||
|
||||
def render_start_menu(self):
|
||||
colors = config.START_MENU_COLORS
|
||||
render_engine = self.game.render_engine
|
||||
target_width, target_height = render_engine.target_size
|
||||
compact_menu = target_height <= 540
|
||||
panel_x = max(48, target_width // 12)
|
||||
panel_y = max(34, target_height // 18)
|
||||
panel_width = target_width - panel_x * 2
|
||||
panel_height = target_height - panel_y * 2
|
||||
header_height = max(58, target_height // 10)
|
||||
title_font = self._menu_font(target_height // 15)
|
||||
body_font = self._menu_font(target_height // 28)
|
||||
meta_font = self._menu_font(target_height // 30)
|
||||
cta_font = self._menu_font(target_height // 22)
|
||||
hint_font = self._menu_font(target_height // 32)
|
||||
line_gap = 22 if compact_menu else max(26, target_height // 26)
|
||||
|
||||
render_engine.draw_rectangle(panel_x, panel_y, panel_width, panel_height, "start_menu", filling=colors["panel_fill"])
|
||||
render_engine.draw_rectangle(panel_x, panel_y, panel_width, panel_height, "start_menu", outline=colors["panel_border"])
|
||||
render_engine.draw_rectangle(panel_x, panel_y, panel_width, header_height, "start_menu", filling=colors["header_fill"])
|
||||
render_engine.draw_text(
|
||||
f"Welcome to Mice, {self.game.profile_integration.get_profile_name()}!",
|
||||
title_font,
|
||||
("center", panel_y + max(12, header_height // 5)),
|
||||
colors["text"],
|
||||
)
|
||||
|
||||
animation_frame, animation_size = self._current_start_menu_animation_frame()
|
||||
animation_bottom = panel_y + header_height + 18
|
||||
if animation_frame is not None:
|
||||
max_animation_width = panel_width - (70 if compact_menu else 110)
|
||||
display_width = min(animation_size[0], max_animation_width)
|
||||
scale_factor = display_width / animation_size[0]
|
||||
display_height = max(1, int(animation_size[1] * scale_factor))
|
||||
animation_x = target_width // 2 - display_width // 2
|
||||
animation_y = panel_y + header_height + (18 if compact_menu else 26)
|
||||
render_engine.draw_image(
|
||||
animation_x - render_engine.w_offset,
|
||||
animation_y - render_engine.h_offset,
|
||||
animation_frame,
|
||||
"start_menu",
|
||||
source_rect=(0, 0, animation_size[0], animation_size[1]),
|
||||
dest_size=(display_width, display_height),
|
||||
)
|
||||
animation_bottom = animation_y + display_height
|
||||
|
||||
player_profile = self.game.profile_integration.current_profile
|
||||
device_id = self.game.profile_integration.get_device_id()
|
||||
subtitle_lines = ["A game by Matteo, because he was bored."]
|
||||
if player_profile:
|
||||
if compact_menu:
|
||||
subtitle_lines.append(
|
||||
f"Best: {player_profile['best_score']} | Games: {player_profile['games_played']}"
|
||||
)
|
||||
else:
|
||||
subtitle_lines.append(f"Device: {device_id}")
|
||||
subtitle_lines.append(
|
||||
f"Best Score: {player_profile['best_score']} | Games: {player_profile['games_played']}"
|
||||
)
|
||||
elif compact_menu:
|
||||
subtitle_lines.append(f"Guest profile | {device_id}")
|
||||
else:
|
||||
subtitle_lines.append(f"Device: {device_id}")
|
||||
subtitle_lines.append("No profile loaded - playing as guest")
|
||||
|
||||
info_y = animation_bottom + (18 if compact_menu else 22)
|
||||
for index, line in enumerate(subtitle_lines):
|
||||
render_engine.draw_text(
|
||||
line,
|
||||
body_font if index == 0 else meta_font,
|
||||
("center", info_y + line_gap * index),
|
||||
colors["text"] if index == 0 else colors["muted"],
|
||||
)
|
||||
|
||||
difficulty_width = max(360, min(panel_width - 160, 760))
|
||||
difficulty_height = 54 if compact_menu else max(72, target_height // 9)
|
||||
difficulty_x = target_width // 2 - difficulty_width // 2
|
||||
difficulty_y = info_y + line_gap * len(subtitle_lines) + (12 if compact_menu else 18)
|
||||
self._draw_start_menu_difficulty_selector(
|
||||
difficulty_x,
|
||||
difficulty_y,
|
||||
difficulty_width,
|
||||
difficulty_height,
|
||||
)
|
||||
|
||||
cta_y = difficulty_y + difficulty_height + (12 if compact_menu else 24)
|
||||
render_engine.draw_text(
|
||||
"Press Return to start",
|
||||
cta_font,
|
||||
("center", cta_y),
|
||||
colors["text"],
|
||||
)
|
||||
if compact_menu:
|
||||
render_engine.draw_text(
|
||||
"Arrows change difficulty",
|
||||
hint_font,
|
||||
("center", cta_y + line_gap),
|
||||
colors["muted"],
|
||||
)
|
||||
render_engine.draw_text(
|
||||
"Esc quits M toggles audio",
|
||||
hint_font,
|
||||
("center", cta_y + line_gap + 18),
|
||||
colors["muted"],
|
||||
)
|
||||
else:
|
||||
render_engine.draw_text(
|
||||
"Arrows change difficulty Esc quits M toggles audio",
|
||||
hint_font,
|
||||
("center", cta_y + line_gap + 8),
|
||||
colors["muted"],
|
||||
)
|
||||
|
||||
def render_pause_menu(self):
|
||||
subtitle_lines = [
|
||||
f"Level {self.game.current_level + 1} | Points: {self.game.points}",
|
||||
f"Rats in maze: {self.game.unit_manager.count_rats()}",
|
||||
]
|
||||
self._render_audio_menu(
|
||||
title="Pause",
|
||||
subtitle_lines=subtitle_lines,
|
||||
primary_action_text="Press Return to resume",
|
||||
hint_text="Up/Down select Left/Right adjust Esc quits",
|
||||
image_name="BMP_PAUSE" if "BMP_PAUSE" in self.assets else "BMP_WEWIN",
|
||||
)
|
||||
self.render_engine.scroll_view(self.pointer)
|
||||
+13
-10
@@ -8,19 +8,22 @@ SCORES_FILE = persistent_data_path("scores.txt", default_text="")
|
||||
|
||||
|
||||
class Scoring:
|
||||
def __init__(self, game):
|
||||
self.game = game
|
||||
|
||||
# ==================== SCORING ====================
|
||||
|
||||
|
||||
def save_score(self):
|
||||
# Save to traditional scores.txt file
|
||||
with SCORES_FILE.open("a", encoding="utf-8") as f:
|
||||
player_name = getattr(self, 'profile_integration', None)
|
||||
if player_name and hasattr(player_name, 'get_profile_name'):
|
||||
name = player_name.get_profile_name()
|
||||
device_id = player_name.get_device_id()
|
||||
f.write(f"{datetime.datetime.now()} - {self.points} - {name} - {device_id}\n")
|
||||
profile_integration = getattr(self.game, 'profile_integration', None)
|
||||
if profile_integration and hasattr(profile_integration, 'get_profile_name'):
|
||||
name = profile_integration.get_profile_name()
|
||||
device_id = profile_integration.get_device_id()
|
||||
f.write(f"{datetime.datetime.now()} - {self.game.points} - {name} - {device_id}\n")
|
||||
else:
|
||||
f.write(f"{datetime.datetime.now()} - {self.points} - Guest\n")
|
||||
|
||||
f.write(f"{datetime.datetime.now()} - {self.game.points} - Guest\n")
|
||||
|
||||
def read_score(self):
|
||||
table = []
|
||||
try:
|
||||
@@ -40,6 +43,6 @@ class Scoring:
|
||||
except FileNotFoundError:
|
||||
pass
|
||||
return table[:5] # Return top 5 scores instead of 3
|
||||
|
||||
|
||||
def add_point(self, value):
|
||||
self.points += value
|
||||
self.game.points += value
|
||||
+102
-8
@@ -236,6 +236,61 @@ class GameWindow:
|
||||
sdl2.SDL_FreeSurface(bg_surface)
|
||||
return bg_texture
|
||||
|
||||
def create_overlay_texture(self, tiles: list):
|
||||
"""Create a transparent RGBA texture from sub-tile surface blits.
|
||||
|
||||
Each tile is a tuple (surface, src_x, src_y, width, height, dst_x, dst_y).
|
||||
Source surfaces are converted to RGBA so the resulting texture has an
|
||||
alpha channel and supports global alpha modulation.
|
||||
"""
|
||||
bg_surface = sdl2.SDL_CreateRGBSurface(
|
||||
0, self.width, self.height, 32,
|
||||
0x00FF0000, 0x0000FF00, 0x000000FF, 0xFF000000
|
||||
)
|
||||
sdl2.SDL_FillRect(bg_surface, None, 0)
|
||||
sdl2.SDL_SetSurfaceBlendMode(bg_surface, sdl2.SDL_BLENDMODE_BLEND)
|
||||
rgba_format = sdl2.SDL_PIXELFORMAT_RGBA8888
|
||||
for surface, src_x, src_y, width, height, dst_x, dst_y in tiles:
|
||||
src_fmt = sdl2.SDL_PIXELFORMAT_UNKNOWN
|
||||
try:
|
||||
src_fmt = surface.format.format
|
||||
except AttributeError:
|
||||
src_fmt = sdl2.SDL_PIXELFORMAT_UNKNOWN
|
||||
srcrect = sdl2.SDL_Rect(int(src_x), int(src_y), int(width), int(height))
|
||||
dstrect = sdl2.SDL_Rect(int(dst_x), int(dst_y), int(width), int(height))
|
||||
if src_fmt == rgba_format:
|
||||
sdl2.SDL_BlitSurface(surface, srcrect, bg_surface, dstrect)
|
||||
else:
|
||||
converted = sdl2.SDL_ConvertSurfaceFormat(surface, rgba_format, 0)
|
||||
if converted:
|
||||
sdl2.SDL_BlitSurface(converted, srcrect, bg_surface, dstrect)
|
||||
sdl2.SDL_FreeSurface(converted)
|
||||
else:
|
||||
sdl2.SDL_BlitSurface(surface, srcrect, bg_surface, dstrect)
|
||||
bg_texture = self.factory.from_surface(bg_surface)
|
||||
try:
|
||||
sdl2.SDL_SetTextureBlendMode(bg_texture.texture, sdl2.SDL_BLENDMODE_BLEND)
|
||||
except Exception:
|
||||
pass
|
||||
sdl2.SDL_FreeSurface(bg_surface)
|
||||
return bg_texture
|
||||
|
||||
def draw_overlay_texture(self, texture, alpha=255):
|
||||
"""Draw a full-map transparent overlay texture with current view offset."""
|
||||
if texture is None:
|
||||
return
|
||||
raw_texture = getattr(texture, "texture", texture)
|
||||
if alpha < 255:
|
||||
try:
|
||||
sdl2.SDL_SetTextureAlphaMod(raw_texture, int(alpha))
|
||||
except Exception:
|
||||
pass
|
||||
try:
|
||||
sdl2.SDL_SetTextureBlendMode(raw_texture, sdl2.SDL_BLENDMODE_BLEND)
|
||||
except Exception:
|
||||
pass
|
||||
self.renderer.copy(texture, dstrect=sdl2.SDL_Rect(self.w_offset, self.h_offset, self.width, self.height))
|
||||
|
||||
def create_color_surface(self, color, width=None, height=None):
|
||||
"""Create a solid color surface matching the current cell size by default."""
|
||||
width = width or self.cell_size
|
||||
@@ -247,7 +302,7 @@ class GameWindow:
|
||||
"""Load and process an image with optional transparency and scaling"""
|
||||
image_path = resolve_bundle_path(os.path.join("assets", path))
|
||||
image = Image.open(image_path)
|
||||
|
||||
|
||||
# Handle transparency
|
||||
if transparent_color:
|
||||
image = image.convert("RGBA")
|
||||
@@ -262,11 +317,26 @@ class GameWindow:
|
||||
for item in datas
|
||||
]
|
||||
image.putdata(new_data)
|
||||
|
||||
|
||||
# Normalize near-white background pixels to pure white to avoid
|
||||
# dark seams when the texture is drawn on a white panel. Applied
|
||||
# to every asset, not only those with transparent_color, so the
|
||||
# background is always pure white.
|
||||
if image.mode != "RGBA":
|
||||
image = image.convert("RGBA")
|
||||
datas = image.getdata()
|
||||
normalized = [
|
||||
(255, 255, 255, item[3]) if item[3] > 0
|
||||
and item[0] >= 250 and item[1] >= 250 and item[2] >= 250
|
||||
and item[0] == item[1] == item[2]
|
||||
else item
|
||||
for item in datas
|
||||
]
|
||||
image.putdata(normalized)
|
||||
|
||||
# Scale image: tiles are now 64px (was 20px), multiply by 5/8 to reach cell_size (40px)
|
||||
if scale:
|
||||
image = image.resize((image.width * 5 // 8, image.height * 5 // 8), Image.NEAREST)
|
||||
|
||||
if surface:
|
||||
return sdl2.ext.pillow_to_surface(image)
|
||||
temp_surface = sdl2.ext.pillow_to_surface(image)
|
||||
@@ -495,9 +565,29 @@ class GameWindow:
|
||||
|
||||
if image := kwargs.get("image"):
|
||||
image_width, image_height = self.get_image_size(image)
|
||||
image_x = self.target_size[0] // 2 - image_width // 2
|
||||
self.draw_image(image_x - self.w_offset, content_y - self.h_offset, image, "win")
|
||||
content_y += image_height + max(14, panel_height // 30)
|
||||
image_scale = kwargs.get("image_scale")
|
||||
image_max_width = kwargs.get("image_max_width")
|
||||
image_max_height = kwargs.get("image_max_height")
|
||||
|
||||
scale_limit = 1.0
|
||||
if image_scale is not None:
|
||||
scale_limit = min(scale_limit, max(0.01, float(image_scale)))
|
||||
if image_max_width:
|
||||
scale_limit = min(scale_limit, float(image_max_width) / image_width)
|
||||
if image_max_height:
|
||||
scale_limit = min(scale_limit, float(image_max_height) / image_height)
|
||||
|
||||
render_width = max(1, int(round(image_width * scale_limit)))
|
||||
render_height = max(1, int(round(image_height * scale_limit)))
|
||||
image_x = self.target_size[0] // 2 - render_width // 2
|
||||
self.draw_image(
|
||||
image_x - self.w_offset,
|
||||
content_y - self.h_offset,
|
||||
image,
|
||||
"win",
|
||||
dest_size=(render_width, render_height),
|
||||
)
|
||||
content_y += render_height + max(14, panel_height // 30)
|
||||
|
||||
if subtitle := kwargs.get("subtitle"):
|
||||
subtitle_sprites = [
|
||||
@@ -859,8 +949,12 @@ class GameWindow:
|
||||
keycode = event.key.keysym.sym
|
||||
key = sdl2.SDL_GetKeyName(event.key.keysym.sym).decode('utf-8')
|
||||
key = key.replace(" ", "_")
|
||||
# Check for Right Ctrl key to trigger white flash
|
||||
self.trigger(f"keydown_{key}")
|
||||
# Cheat: Ctrl+Return instantly wins the current level.
|
||||
if keycode == sdl2.SDLK_RETURN and (event.key.keysym.mod & sdl2.KMOD_CTRL):
|
||||
self.trigger("cheat_win_level")
|
||||
else:
|
||||
# Check for Right Ctrl key to trigger white flash
|
||||
self.trigger(f"keydown_{key}")
|
||||
elif event.type == sdl2.SDL_KEYUP:
|
||||
key = sdl2.SDL_GetKeyName(event.key.keysym.sym).decode('utf-8')
|
||||
key = key.replace(" ", "_")
|
||||
|
||||
@@ -0,0 +1,42 @@
|
||||
from enum import Enum, auto
|
||||
|
||||
class GameState(Enum):
|
||||
START_MENU = auto()
|
||||
PLAYING = auto()
|
||||
PAUSED = auto()
|
||||
GAME_OVER = auto()
|
||||
VICTORY = auto()
|
||||
|
||||
class StateMachine:
|
||||
def __init__(self, game):
|
||||
self.game = game
|
||||
self.current_state = GameState.START_MENU
|
||||
|
||||
def transition_to(self, new_state):
|
||||
print(f"[state] Transitioning from {self.current_state} to {new_state}")
|
||||
self.current_state = new_state
|
||||
|
||||
# Sincronizzazione per compatibilità con KeyBindings e logica esistente
|
||||
if new_state == GameState.PLAYING:
|
||||
self.game.game_status = "game"
|
||||
self.game.menu_screen = None
|
||||
elif new_state == GameState.PAUSED:
|
||||
self.game.game_status = "paused"
|
||||
self.game.menu_screen = None
|
||||
elif new_state == GameState.START_MENU:
|
||||
self.game.game_status = "start_menu"
|
||||
self.game.menu_screen = "start"
|
||||
elif new_state in [GameState.GAME_OVER, GameState.VICTORY]:
|
||||
self.game.game_status = "paused" # Legacy status used for key handling in end screens
|
||||
self.game.menu_screen = None
|
||||
|
||||
def update(self):
|
||||
# Dispatch alla logica originale ripristinata in MiceMaze/Graphics
|
||||
if self.current_state == GameState.START_MENU:
|
||||
self.game.graphics.render_start_menu()
|
||||
elif self.current_state == GameState.PAUSED:
|
||||
self.game.graphics.render_pause_menu()
|
||||
elif self.current_state in [GameState.GAME_OVER, GameState.VICTORY]:
|
||||
# Delega al metodo game_over originale che gestisce i dialoghi specifici
|
||||
self.game.game_over()
|
||||
|
||||
+61
-37
@@ -4,35 +4,39 @@ from units import gas, rat, bomb, mine
|
||||
|
||||
|
||||
|
||||
from units.unit import UnitType
|
||||
|
||||
class UnitManager:
|
||||
def __init__(self, game):
|
||||
self.game = game
|
||||
|
||||
def _spawnable_rat_positions(self):
|
||||
positions = []
|
||||
for y in range(1, self.map.height - 1):
|
||||
for x in range(1, self.map.width - 1):
|
||||
if not self.map.is_empty(x, y):
|
||||
for y in range(1, self.game.map.height - 1):
|
||||
for x in range(1, self.game.map.width - 1):
|
||||
if not self.game.map.is_empty(x, y):
|
||||
continue
|
||||
for dx, dy in [(-1, 0), (1, 0), (0, -1), (0, 1)]:
|
||||
nx = x + dx
|
||||
ny = y + dy
|
||||
if self.map.in_bounds(nx, ny) and self.map.is_empty(nx, ny):
|
||||
if self.game.map.in_bounds(nx, ny) and self.game.map.is_empty(nx, ny):
|
||||
positions.append((x, y))
|
||||
break
|
||||
return positions
|
||||
|
||||
def has_weapon_at(self, position):
|
||||
"""Check if there's a weapon (bomb, gas, mine) at the given position"""
|
||||
for unit in self.units.values():
|
||||
if unit.position == position:
|
||||
# Check if it's a weapon type (not a rat or points)
|
||||
if isinstance(unit, (bomb.Timer, bomb.NuclearBomb, gas.Gas, mine.Mine)):
|
||||
return True
|
||||
weapon_types = {UnitType.BOMB_TIMER, UnitType.BOMB_NUCLEAR, UnitType.GAS, UnitType.MINE}
|
||||
for unit in self.game.units.values():
|
||||
if unit.position == position and unit.type in weapon_types:
|
||||
return True
|
||||
return False
|
||||
|
||||
def can_place_weapon_at(self, position):
|
||||
x, y = position
|
||||
if not self.map.in_bounds(x, y):
|
||||
if not self.game.map.in_bounds(x, y):
|
||||
return False
|
||||
if not self.map.is_empty(x, y):
|
||||
if not self.game.map.is_empty(x, y):
|
||||
return False
|
||||
if self.has_weapon_at(position):
|
||||
return False
|
||||
@@ -40,19 +44,39 @@ class UnitManager:
|
||||
|
||||
def count_rats(self):
|
||||
count = 0
|
||||
for unit in self.units.values():
|
||||
if isinstance(unit, rat.Rat):
|
||||
rat_types = {UnitType.RAT_MALE, UnitType.RAT_FEMALE}
|
||||
for unit in self.game.units.values():
|
||||
if unit.type in rat_types:
|
||||
count += 1
|
||||
return count
|
||||
|
||||
def refill_ammo(self):
|
||||
"""Randomly refill ammo during gameplay.
|
||||
|
||||
Per-frame refill probabilities are scaled by the current difficulty's
|
||||
weapon_refill_multiplier (harder difficulties refill less often).
|
||||
"""
|
||||
import random
|
||||
multiplier = getattr(self.game, "weapon_refill_multiplier", 1.0)
|
||||
for ammo_type, data in self.game.ammo.items():
|
||||
if ammo_type == "bomb":
|
||||
if random.random() < 0.02 * multiplier:
|
||||
data["count"] = min(data["count"] + 1, data["max"])
|
||||
elif ammo_type == "mine":
|
||||
if random.random() < 0.05 * multiplier:
|
||||
data["count"] = min(data["count"] + 1, data["max"])
|
||||
elif ammo_type == "gas":
|
||||
if random.random() < 0.01 * multiplier:
|
||||
data["count"] = min(data["count"] + 1, data["max"])
|
||||
|
||||
def spawn_gas(self, parent_id=None):
|
||||
if not self.can_place_weapon_at(self.pointer):
|
||||
if not self.can_place_weapon_at(self.game.pointer):
|
||||
return
|
||||
if self.ammo["gas"]["count"] <= 0:
|
||||
if self.game.ammo["gas"]["count"] <= 0:
|
||||
return
|
||||
self.ammo["gas"]["count"] -= 1
|
||||
self.render_engine.play_sound("GAS.WAV")
|
||||
self.spawn_unit(gas.Gas, self.pointer, parent_id=parent_id)
|
||||
self.game.ammo["gas"]["count"] -= 1
|
||||
self.game.render_engine.play_sound("GAS.WAV")
|
||||
self.spawn_unit(gas.Gas, self.game.pointer, parent_id=parent_id)
|
||||
|
||||
def spawn_rat(self, position=None):
|
||||
if position is None:
|
||||
@@ -68,9 +92,9 @@ class UnitManager:
|
||||
# Try nearby positions
|
||||
for dx, dy in [(0,1), (1,0), (0,-1), (-1,0), (1,1), (-1,-1), (1,-1), (-1,1)]:
|
||||
alt_pos = (position[0] + dx, position[1] + dy)
|
||||
if not self.map.in_bounds(alt_pos[0], alt_pos[1]):
|
||||
if not self.game.map.in_bounds(alt_pos[0], alt_pos[1]):
|
||||
continue
|
||||
if self.map.is_empty(alt_pos[0], alt_pos[1]) and not self.has_weapon_at(alt_pos):
|
||||
if self.game.map.is_empty(alt_pos[0], alt_pos[1]) and not self.has_weapon_at(alt_pos):
|
||||
position = alt_pos
|
||||
break
|
||||
else:
|
||||
@@ -84,45 +108,45 @@ class UnitManager:
|
||||
def spawn_bomb(self, position):
|
||||
if not self.can_place_weapon_at(position):
|
||||
return
|
||||
if self.ammo["bomb"]["count"] <= 0:
|
||||
if self.game.ammo["bomb"]["count"] <= 0:
|
||||
return
|
||||
self.render_engine.play_sound("PUTDOWN.WAV")
|
||||
self.game.render_engine.play_sound("PUTDOWN.WAV")
|
||||
self.spawn_unit(bomb.Timer, position)
|
||||
self.ammo["bomb"]["count"] -= 1
|
||||
self.game.ammo["bomb"]["count"] -= 1
|
||||
|
||||
def spawn_nuclear_bomb(self, position):
|
||||
"""Spawn a nuclear bomb at the specified position"""
|
||||
if self.ammo["nuclear"]["count"] <= 0:
|
||||
if self.game.ammo["nuclear"]["count"] <= 0:
|
||||
return
|
||||
if not self.can_place_weapon_at(position):
|
||||
return
|
||||
self.render_engine.play_sound("NUCLEAR.WAV")
|
||||
self.ammo["nuclear"]["count"] -= 1
|
||||
self.game.render_engine.play_sound("NUCLEAR.WAV")
|
||||
self.game.ammo["nuclear"]["count"] -= 1
|
||||
self.spawn_unit(bomb.NuclearBomb, position)
|
||||
|
||||
def spawn_mine(self, position):
|
||||
if self.ammo["mine"]["count"] <= 0:
|
||||
if self.game.ammo["mine"]["count"] <= 0:
|
||||
return
|
||||
if not self.can_place_weapon_at(position):
|
||||
return
|
||||
self.render_engine.play_sound("PUTDOWN.WAV")
|
||||
self.ammo["mine"]["count"] -= 1
|
||||
self.game.render_engine.play_sound("PUTDOWN.WAV")
|
||||
self.game.ammo["mine"]["count"] -= 1
|
||||
self.spawn_unit(mine.Mine, position, on_bottom=True)
|
||||
|
||||
def spawn_unit(self, unit, position, on_bottom=False, **kwargs):
|
||||
id = uuid.uuid4()
|
||||
if on_bottom:
|
||||
self.units = {id: unit(self, position, id, **kwargs), **self.units}
|
||||
self.game.units = {id: unit(self.game, position, id, **kwargs), **self.game.units}
|
||||
else:
|
||||
self.units[id] = unit(self, position, id, **kwargs)
|
||||
self.game.units[id] = unit(self.game, position, id, **kwargs)
|
||||
|
||||
def choose_start(self):
|
||||
if not hasattr(self, '_valid_positions') or self._valid_positions is None:
|
||||
self._valid_positions = self._spawnable_rat_positions()
|
||||
print(f"[flow] choose_start computed {len(self._valid_positions)} spawnable cells", flush=True)
|
||||
if not self._valid_positions:
|
||||
if not hasattr(self.game, '_valid_positions') or self.game._valid_positions is None:
|
||||
self.game._valid_positions = self._spawnable_rat_positions()
|
||||
print(f"[flow] choose_start computed {len(self.game._valid_positions)} spawnable cells", flush=True)
|
||||
if not self.game._valid_positions:
|
||||
return None
|
||||
return random.choice(self._valid_positions)
|
||||
return random.choice(self.game._valid_positions)
|
||||
|
||||
def get_unit_by_id(self, id):
|
||||
return self.units.get(id) or None
|
||||
return self.game.units.get(id) or None
|
||||
|
||||
+1
-1
@@ -3,7 +3,7 @@
|
||||
<game>
|
||||
<path>./mice.sh</path>
|
||||
<name>Mice!</name>
|
||||
<desc>Mice! is a strategic single‑player game where you place bombs and mines to exterminate rats before they reproduce out of control. It features randomly generated mazes (DFS), sprite-based graphics, and sound effects. Inspired by the classic Rats! for Windows 95, this version is written in Python and uses a lightweight custom engine with SDL‑style rendering.</desc>
|
||||
<desc>Mice! is a strategic single-player game where you place bombs and mines to exterminate rats before they reproduce out of control. It features randomly generated mazes (DFS), sprite-based graphics, and sound effects. Inspired by the classic Rats! for Windows 95, this version is written in Python and uses a lightweight custom engine with SDL-style rendering. Created by Matteo Benedetto, a bored engineer.</desc>
|
||||
<releasedate>20250818T000000</releasedate>
|
||||
<developer>Matteo Benedetto</developer>
|
||||
<publisher>Self-published</publisher>
|
||||
|
||||
@@ -1,82 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
|
||||
import sys
|
||||
import os
|
||||
import sdl2
|
||||
import sdl2.ext
|
||||
|
||||
class KeyLogger:
|
||||
def __init__(self):
|
||||
# Initialize SDL2
|
||||
sdl2.ext.init(joystick=True, video=True, audio=False)
|
||||
# Initialize joystick support
|
||||
sdl2.SDL_Init(sdl2.SDL_INIT_JOYSTICK)
|
||||
sdl2.SDL_JoystickOpen(0)
|
||||
sdl2.SDL_JoystickOpen(1) # Open the first joystick
|
||||
sdl2.SDL_JoystickEventState(sdl2.SDL_ENABLE)
|
||||
self.window = sdl2.ext.Window("Key Logger", size=(640, 480))
|
||||
self.window.show()
|
||||
self.running = True
|
||||
self.key_down = True
|
||||
self.font = sdl2.ext.FontManager("assets/decterm.ttf", size=24)
|
||||
|
||||
def run(self):
|
||||
# Main loop
|
||||
|
||||
while self.running:
|
||||
# Handle SDL events
|
||||
events = sdl2.ext.get_events()
|
||||
for event in events:
|
||||
self.event = event.type
|
||||
if event.type == sdl2.SDL_KEYDOWN:
|
||||
keycode = event.key.keysym.sym
|
||||
# Log keycode to file
|
||||
self.message = f"Key pressed: {sdl2.SDL_GetKeyName(keycode).decode('utf-8')}"
|
||||
elif event.type == sdl2.SDL_KEYUP:
|
||||
keycode = event.key.keysym.sym
|
||||
# Log keycode to file
|
||||
self.message = f"Key released: {sdl2.SDL_GetKeyName(keycode).decode('utf-8')}"
|
||||
elif event.type == sdl2.SDL_JOYBUTTONDOWN:
|
||||
button = event.jbutton.button
|
||||
self.message = f"Joystick button {button} pressed"
|
||||
if button == 9: # Assuming button 0 is the right trigger
|
||||
self.running = False
|
||||
elif event.type == sdl2.SDL_JOYBUTTONUP:
|
||||
button = event.jbutton.button
|
||||
self.message = f"Joystick button {button} released"
|
||||
elif event.type == sdl2.SDL_JOYAXISMOTION:
|
||||
axis = event.jaxis.axis
|
||||
value = event.jaxis.value
|
||||
self.message = f"Joystick axis {axis} moved to {value}"
|
||||
elif event.type == sdl2.SDL_JOYHATMOTION:
|
||||
hat = event.jhat.hat
|
||||
value = event.jhat.value
|
||||
self.message = f"Joystick hat {hat} moved to {value}"
|
||||
elif event.type == sdl2.SDL_QUIT:
|
||||
self.running = False
|
||||
|
||||
# Update the window
|
||||
sdl2.ext.fill(self.window.get_surface(), sdl2.ext.Color(34, 0, 33))
|
||||
greeting = self.font.render("Press any key...", color=sdl2.ext.Color(255, 255, 255))
|
||||
sdl2.SDL_BlitSurface(greeting, None, self.window.get_surface(), None)
|
||||
if hasattr(self, 'message'):
|
||||
text_surface = self.font.render(self.message, color=sdl2.ext.Color(255, 255, 255))
|
||||
sdl2.SDL_BlitSurface(text_surface, None, self.window.get_surface(), sdl2.SDL_Rect(0, 30, 640, 480))
|
||||
if hasattr(self, 'event'):
|
||||
event_surface = self.font.render(f"Event: {self.event}", color=sdl2.ext.Color(255, 255, 255))
|
||||
sdl2.SDL_BlitSurface(event_surface, None, self.window.get_surface(), sdl2.SDL_Rect(0, 60, 640, 480))
|
||||
sdl2.SDL_UpdateWindowSurface(self.window.window)
|
||||
# Refresh the window
|
||||
|
||||
self.window.refresh()
|
||||
sdl2.SDL_Delay(10)
|
||||
# Check for quit event
|
||||
if not self.running:
|
||||
break
|
||||
# Cleanup
|
||||
sdl2.ext.quit()
|
||||
|
||||
if __name__ == "__main__":
|
||||
logger = KeyLogger()
|
||||
logger.run()
|
||||
|
||||
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|
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|
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|
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|
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|
Before Width: | Height: | Size: 5.9 KiB |
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|
Before Width: | Height: | Size: 14 KiB |
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|
Before Width: | Height: | Size: 14 KiB |
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|
Before Width: | Height: | Size: 7.1 KiB |
@@ -1,25 +0,0 @@
|
||||
#!/bin/sh
|
||||
set -eu
|
||||
|
||||
APPDIR=$(CDPATH= cd -- "$(dirname -- "$0")" && pwd)
|
||||
VENV_DIR="$APPDIR/usr/opt/python"
|
||||
GAME_DIR="$APPDIR/usr/share/mice"
|
||||
|
||||
if [ -n "${MICE_DATA_DIR:-}" ]; then
|
||||
DATA_DIR="$MICE_DATA_DIR"
|
||||
elif [ -n "${XDG_DATA_HOME:-}" ]; then
|
||||
DATA_DIR="$XDG_DATA_HOME/mice"
|
||||
else
|
||||
DATA_DIR="$HOME/.local/share/mice"
|
||||
fi
|
||||
|
||||
mkdir -p "$DATA_DIR"
|
||||
|
||||
export PATH="$VENV_DIR/bin:${PATH:-}"
|
||||
export LD_LIBRARY_PATH="$APPDIR/usr/lib${LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH}"
|
||||
export MICE_PROJECT_ROOT="$GAME_DIR"
|
||||
export MICE_DATA_DIR="$DATA_DIR"
|
||||
export PYTHONNOUSERSITE=1
|
||||
|
||||
cd "$GAME_DIR"
|
||||
exec "$VENV_DIR/bin/python" rats.py "$@"
|
||||
@@ -1,9 +0,0 @@
|
||||
[Desktop Entry]
|
||||
Type=Application
|
||||
Name=Mice!
|
||||
Comment=Strategic rat extermination game built with Python and SDL2
|
||||
Exec=mice
|
||||
Icon=mice
|
||||
Categories=Game;StrategyGame;
|
||||
Terminal=false
|
||||
StartupNotify=false
|
||||
@@ -1,136 +0,0 @@
|
||||
#!/usr/bin/env bash
|
||||
set -euo pipefail
|
||||
|
||||
ROOT_DIR=$(CDPATH= cd -- "$(dirname -- "${BASH_SOURCE[0]}")/.." && pwd)
|
||||
DIST_DIR="${DIST_DIR:-$ROOT_DIR/dist}"
|
||||
APPDIR="${APPDIR:-$DIST_DIR/AppDir}"
|
||||
APP_NAME="Mice"
|
||||
APP_ID="mice"
|
||||
ARCH_EXPECTED="aarch64"
|
||||
APPIMAGETOOL_BIN="${APPIMAGETOOL_BIN:-appimagetool}"
|
||||
PYTHON_BIN="${PYTHON_BIN:-python3}"
|
||||
OUTPUT_APPIMAGE="${OUTPUT_APPIMAGE:-$DIST_DIR/${APP_NAME}-${ARCH_EXPECTED}.AppImage}"
|
||||
|
||||
PYTHON_DIR="$APPDIR/usr/opt/python"
|
||||
GAME_DIR="$APPDIR/usr/share/mice"
|
||||
LIB_DIR="$APPDIR/usr/lib"
|
||||
|
||||
require_command() {
|
||||
if ! command -v "$1" >/dev/null 2>&1; then
|
||||
printf 'Missing required command: %s\n' "$1" >&2
|
||||
exit 1
|
||||
fi
|
||||
}
|
||||
|
||||
find_system_library() {
|
||||
local soname="$1"
|
||||
ldconfig -p | awk -v target="$soname" '$1 == target { print $NF; exit }'
|
||||
}
|
||||
|
||||
should_bundle_soname() {
|
||||
case "$1" in
|
||||
linux-vdso.so.*|libc.so.*|libm.so.*|libpthread.so.*|libdl.so.*|librt.so.*|libutil.so.*|libresolv.so.*|ld-linux*.so.*)
|
||||
return 1
|
||||
;;
|
||||
*)
|
||||
return 0
|
||||
;;
|
||||
esac
|
||||
}
|
||||
|
||||
copy_dependency_tree() {
|
||||
local binary="$1"
|
||||
local dep
|
||||
local soname
|
||||
|
||||
while IFS= read -r dep; do
|
||||
[ -n "$dep" ] || continue
|
||||
[ -f "$dep" ] || continue
|
||||
soname=$(basename "$dep")
|
||||
if ! should_bundle_soname "$soname"; then
|
||||
continue
|
||||
fi
|
||||
if [ ! -e "$LIB_DIR/$soname" ]; then
|
||||
cp -a "$dep" "$LIB_DIR/$soname"
|
||||
chmod 755 "$LIB_DIR/$soname" || true
|
||||
copy_dependency_tree "$dep"
|
||||
fi
|
||||
done < <(
|
||||
ldd "$binary" 2>/dev/null | awk '
|
||||
/=>/ && $3 ~ /^\// { print $3 }
|
||||
$1 ~ /^\// { print $1 }
|
||||
' | sort -u
|
||||
)
|
||||
}
|
||||
|
||||
copy_system_library() {
|
||||
local soname="$1"
|
||||
local path
|
||||
path=$(find_system_library "$soname")
|
||||
if [ -z "$path" ]; then
|
||||
printf 'Unable to locate required system library: %s\n' "$soname" >&2
|
||||
exit 1
|
||||
fi
|
||||
cp -a "$path" "$LIB_DIR/$(basename "$path")"
|
||||
chmod 755 "$LIB_DIR/$(basename "$path")" || true
|
||||
copy_dependency_tree "$path"
|
||||
}
|
||||
|
||||
printf '==> Checking build prerequisites\n'
|
||||
require_command rsync
|
||||
require_command "$PYTHON_BIN"
|
||||
require_command "$APPIMAGETOOL_BIN"
|
||||
require_command ldconfig
|
||||
require_command ldd
|
||||
|
||||
if [ "$(uname -m)" != "$ARCH_EXPECTED" ]; then
|
||||
printf 'This builder must run on %s. Current architecture: %s\n' "$ARCH_EXPECTED" "$(uname -m)" >&2
|
||||
exit 1
|
||||
fi
|
||||
|
||||
printf '==> Creating AppDir at %s\n' "$APPDIR"
|
||||
rm -rf "$APPDIR"
|
||||
mkdir -p "$DIST_DIR" "$LIB_DIR" "$GAME_DIR"
|
||||
|
||||
printf '==> Building bundled Python environment with %s\n' "$PYTHON_BIN"
|
||||
"$PYTHON_BIN" -m venv --copies "$PYTHON_DIR"
|
||||
"$PYTHON_DIR/bin/pip" install --upgrade pip setuptools wheel
|
||||
"$PYTHON_DIR/bin/pip" install -r "$ROOT_DIR/requirements.txt"
|
||||
|
||||
printf '==> Syncing game files\n'
|
||||
rsync -a \
|
||||
--delete \
|
||||
--exclude '.git' \
|
||||
--exclude '.github' \
|
||||
--exclude '.venv' \
|
||||
--exclude '__pycache__' \
|
||||
--exclude '*.pyc' \
|
||||
--exclude '.mypy_cache' \
|
||||
--exclude '.pytest_cache' \
|
||||
--exclude 'build' \
|
||||
--exclude 'dist' \
|
||||
--exclude 'packaging' \
|
||||
"$ROOT_DIR/" "$GAME_DIR/"
|
||||
|
||||
rm -f "$GAME_DIR/user_profiles.json" "$GAME_DIR/scores.txt"
|
||||
|
||||
printf '==> Installing AppImage metadata\n'
|
||||
install -Dm755 "$ROOT_DIR/packaging/appimage/AppRun" "$APPDIR/AppRun"
|
||||
install -Dm644 "$ROOT_DIR/packaging/appimage/mice.desktop" "$APPDIR/$APP_ID.desktop"
|
||||
install -Dm644 "$ROOT_DIR/packaging/appimage/mice.desktop" "$APPDIR/usr/share/applications/$APP_ID.desktop"
|
||||
install -Dm644 "$ROOT_DIR/assets/Rat/BMP_WEWIN.png" "$APPDIR/$APP_ID.png"
|
||||
install -Dm644 "$ROOT_DIR/assets/Rat/BMP_WEWIN.png" "$APPDIR/usr/share/icons/hicolor/256x256/apps/$APP_ID.png"
|
||||
|
||||
printf '==> Bundling native dependencies\n'
|
||||
copy_system_library libSDL2-2.0.so.0
|
||||
copy_system_library libSDL2_ttf-2.0.so.0
|
||||
copy_dependency_tree "$PYTHON_DIR/bin/python"
|
||||
|
||||
while IFS= read -r -d '' candidate; do
|
||||
copy_dependency_tree "$candidate"
|
||||
done < <(find "$PYTHON_DIR" -type f \( -name '*.so' -o -name '*.so.*' -o -perm -u+x \) -print0)
|
||||
|
||||
printf '==> Building AppImage %s\n' "$OUTPUT_APPIMAGE"
|
||||
ARCH="$ARCH_EXPECTED" "$APPIMAGETOOL_BIN" --appimage-extract-and-run "$APPDIR" "$OUTPUT_APPIMAGE"
|
||||
|
||||
printf 'AppImage created at %s\n' "$OUTPUT_APPIMAGE"
|
||||
Binary file not shown.
|
Before Width: | Height: | Size: 2.4 MiB |
Binary file not shown.
|
Before Width: | Height: | Size: 4.0 KiB |
Binary file not shown.
|
Before Width: | Height: | Size: 19 KiB |
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user