Pawe艂 艁aba
commited on
Commit
路
9616708
1
Parent(s):
1728979
zmiany w index
Browse files
app.py
CHANGED
|
@@ -1,141 +1,121 @@
|
|
| 1 |
-
|
| 2 |
-
from fastapi import
|
|
|
|
| 3 |
import numpy as np
|
| 4 |
from tensorflow import keras
|
| 5 |
import json
|
| 6 |
import os
|
| 7 |
|
| 8 |
-
|
| 9 |
app = FastAPI()
|
| 10 |
|
| 11 |
-
|
| 12 |
-
|
| 13 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 14 |
|
| 15 |
|
| 16 |
class TicTacToeAI:
|
| 17 |
-
def __init__(self, model_path=
|
| 18 |
self.model_path = model_path
|
| 19 |
self.model = None
|
| 20 |
self.load_model()
|
| 21 |
-
|
| 22 |
def load_model(self):
|
| 23 |
"""Wczytuje model z pliku"""
|
| 24 |
if os.path.exists(self.model_path):
|
| 25 |
self.model = keras.models.load_model(self.model_path)
|
| 26 |
return True
|
| 27 |
return False
|
| 28 |
-
|
| 29 |
def get_move(self, board):
|
| 30 |
"""Zwraca najlepszy ruch dla danego stanu planszy"""
|
| 31 |
if self.model is None:
|
| 32 |
raise ValueError("Model nie zosta艂 wczytany")
|
| 33 |
-
|
| 34 |
board_array = np.array(board)
|
| 35 |
predictions = self.model.predict(board_array.reshape(1, -1), verbose=0)[0]
|
| 36 |
valid_moves = np.where(board_array == 0)[0]
|
| 37 |
-
|
| 38 |
if len(valid_moves) == 0:
|
| 39 |
raise ValueError("Brak dost臋pnych ruch贸w")
|
| 40 |
-
|
| 41 |
valid_predictions = [(i, pred) for i, pred in enumerate(predictions) if i in valid_moves]
|
| 42 |
return int(max(valid_predictions, key=lambda x: x[1])[0])
|
| 43 |
|
|
|
|
| 44 |
# Inicjalizacja AI
|
| 45 |
ai = TicTacToeAI()
|
| 46 |
|
| 47 |
|
| 48 |
-
@app.
|
| 49 |
-
def get_move():
|
| 50 |
"""
|
| 51 |
Endpoint do wykonania ruchu AI
|
| 52 |
-
|
| 53 |
-
Przyk艂adowe 偶膮danie:
|
| 54 |
-
{
|
| 55 |
-
"board": [0, 0, 0, 0, 1, 0, 0, 0, -1]
|
| 56 |
-
}
|
| 57 |
"""
|
| 58 |
try:
|
| 59 |
-
data = request.
|
| 60 |
-
|
| 61 |
-
|
| 62 |
-
|
| 63 |
-
|
| 64 |
-
|
| 65 |
-
|
| 66 |
-
|
| 67 |
-
|
| 68 |
-
|
| 69 |
-
if not all(x in [0, 1, -1] for x in board):
|
| 70 |
-
return jsonify({'error': 'Nieprawid艂owe warto艣ci na planszy'}), 400
|
| 71 |
-
|
| 72 |
move = ai.get_move(board)
|
| 73 |
-
|
| 74 |
-
return
|
| 75 |
-
'status': 'success',
|
| 76 |
-
'move': move
|
| 77 |
-
})
|
| 78 |
-
|
| 79 |
except Exception as e:
|
| 80 |
-
|
| 81 |
|
| 82 |
|
| 83 |
-
|
| 84 |
-
|
| 85 |
-
def add_game():
|
| 86 |
"""
|
| 87 |
Endpoint do dodania gry do pliku
|
| 88 |
-
|
| 89 |
-
Przyk艂adowe 偶膮danie:
|
| 90 |
-
{
|
| 91 |
-
"board": [0, 0, 0, 0, 1, 0, 0, 0, -1],
|
| 92 |
-
"win": true
|
| 93 |
-
}
|
| 94 |
"""
|
| 95 |
try:
|
| 96 |
-
data = request.
|
| 97 |
-
|
| 98 |
-
|
| 99 |
-
|
| 100 |
-
|
| 101 |
-
|
| 102 |
-
|
| 103 |
-
|
| 104 |
-
|
| 105 |
-
|
| 106 |
-
|
| 107 |
-
|
| 108 |
-
|
| 109 |
-
|
| 110 |
-
|
| 111 |
-
|
| 112 |
-
|
| 113 |
-
|
| 114 |
-
|
| 115 |
-
|
| 116 |
-
games_data.append({
|
| 117 |
-
'board': board,
|
| 118 |
-
'win': win
|
| 119 |
-
})
|
| 120 |
-
|
| 121 |
-
with open('gry.json', 'w') as file:
|
| 122 |
json.dump(games_data, file)
|
| 123 |
-
|
| 124 |
-
return jsonify({
|
| 125 |
-
'status': 'success'
|
| 126 |
-
})
|
| 127 |
-
|
| 128 |
-
except Exception as e:
|
| 129 |
-
return jsonify({'error': str(e)}), 500
|
| 130 |
|
|
|
|
|
|
|
|
|
|
| 131 |
|
| 132 |
|
| 133 |
-
@app.
|
| 134 |
-
def get_status():
|
| 135 |
"""Sprawdza status modelu"""
|
| 136 |
-
return
|
| 137 |
-
|
| 138 |
-
|
| 139 |
-
|
| 140 |
-
|
| 141 |
-
|
|
|
|
|
|
| 1 |
+
from fastapi import FastAPI, HTTPException, Request
|
| 2 |
+
from fastapi.responses import JSONResponse, HTMLResponse
|
| 3 |
+
from fastapi.staticfiles import StaticFiles
|
| 4 |
import numpy as np
|
| 5 |
from tensorflow import keras
|
| 6 |
import json
|
| 7 |
import os
|
| 8 |
|
|
|
|
| 9 |
app = FastAPI()
|
| 10 |
|
| 11 |
+
# Obs艂uga plik贸w statycznych
|
| 12 |
+
app.mount("/public", StaticFiles(directory="public"), name="public")
|
| 13 |
+
|
| 14 |
+
|
| 15 |
+
@app.get("/", response_class=HTMLResponse)
|
| 16 |
+
async def read_root():
|
| 17 |
+
"""Wy艣wietla plik index.html"""
|
| 18 |
+
try:
|
| 19 |
+
with open("public/index.html", "r") as file:
|
| 20 |
+
return HTMLResponse(content=file.read(), status_code=200)
|
| 21 |
+
except FileNotFoundError:
|
| 22 |
+
raise HTTPException(status_code=404, detail="Plik index.html nie zosta艂 znaleziony")
|
| 23 |
|
| 24 |
|
| 25 |
class TicTacToeAI:
|
| 26 |
+
def __init__(self, model_path="model/model.keras"):
|
| 27 |
self.model_path = model_path
|
| 28 |
self.model = None
|
| 29 |
self.load_model()
|
| 30 |
+
|
| 31 |
def load_model(self):
|
| 32 |
"""Wczytuje model z pliku"""
|
| 33 |
if os.path.exists(self.model_path):
|
| 34 |
self.model = keras.models.load_model(self.model_path)
|
| 35 |
return True
|
| 36 |
return False
|
| 37 |
+
|
| 38 |
def get_move(self, board):
|
| 39 |
"""Zwraca najlepszy ruch dla danego stanu planszy"""
|
| 40 |
if self.model is None:
|
| 41 |
raise ValueError("Model nie zosta艂 wczytany")
|
| 42 |
+
|
| 43 |
board_array = np.array(board)
|
| 44 |
predictions = self.model.predict(board_array.reshape(1, -1), verbose=0)[0]
|
| 45 |
valid_moves = np.where(board_array == 0)[0]
|
| 46 |
+
|
| 47 |
if len(valid_moves) == 0:
|
| 48 |
raise ValueError("Brak dost臋pnych ruch贸w")
|
| 49 |
+
|
| 50 |
valid_predictions = [(i, pred) for i, pred in enumerate(predictions) if i in valid_moves]
|
| 51 |
return int(max(valid_predictions, key=lambda x: x[1])[0])
|
| 52 |
|
| 53 |
+
|
| 54 |
# Inicjalizacja AI
|
| 55 |
ai = TicTacToeAI()
|
| 56 |
|
| 57 |
|
| 58 |
+
@app.post("/move")
|
| 59 |
+
async def get_move(request: Request):
|
| 60 |
"""
|
| 61 |
Endpoint do wykonania ruchu AI
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 62 |
"""
|
| 63 |
try:
|
| 64 |
+
data = await request.json()
|
| 65 |
+
board = data.get("board")
|
| 66 |
+
|
| 67 |
+
if not board:
|
| 68 |
+
raise HTTPException(status_code=400, detail="Brak planszy w 偶膮daniu")
|
| 69 |
+
|
| 70 |
+
if len(board) != 9 or not all(x in [0, 1, -1] for x in board):
|
| 71 |
+
raise HTTPException(status_code=400, detail="Nieprawid艂owe dane planszy")
|
| 72 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
| 73 |
move = ai.get_move(board)
|
| 74 |
+
|
| 75 |
+
return JSONResponse(content={"status": "success", "move": move})
|
|
|
|
|
|
|
|
|
|
|
|
|
| 76 |
except Exception as e:
|
| 77 |
+
raise HTTPException(status_code=500, detail=str(e))
|
| 78 |
|
| 79 |
|
| 80 |
+
@app.post("/game")
|
| 81 |
+
async def add_game(request: Request):
|
|
|
|
| 82 |
"""
|
| 83 |
Endpoint do dodania gry do pliku
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 84 |
"""
|
| 85 |
try:
|
| 86 |
+
data = await request.json()
|
| 87 |
+
board = data.get("board")
|
| 88 |
+
win = data.get("win")
|
| 89 |
+
|
| 90 |
+
if not board or win is None:
|
| 91 |
+
raise HTTPException(status_code=400, detail="Brak planszy lub informacji o wygranej w 偶膮daniu")
|
| 92 |
+
|
| 93 |
+
if len(board) != 9 or not all(x in [0, 1, -1] for x in board):
|
| 94 |
+
raise HTTPException(status_code=400, detail="Nieprawid艂owe dane planszy")
|
| 95 |
+
|
| 96 |
+
if os.path.exists("gry.json"):
|
| 97 |
+
with open("gry.json", "r") as file:
|
| 98 |
+
games_data = json.load(file)
|
| 99 |
+
else:
|
| 100 |
+
games_data = []
|
| 101 |
+
|
| 102 |
+
games_data.append({"board": board, "win": win})
|
| 103 |
+
|
| 104 |
+
with open("gry.json", "w") as file:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 105 |
json.dump(games_data, file)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 106 |
|
| 107 |
+
return JSONResponse(content={"status": "success"})
|
| 108 |
+
except Exception as e:
|
| 109 |
+
raise HTTPException(status_code=500, detail=str(e))
|
| 110 |
|
| 111 |
|
| 112 |
+
@app.get("/status")
|
| 113 |
+
async def get_status():
|
| 114 |
"""Sprawdza status modelu"""
|
| 115 |
+
return JSONResponse(
|
| 116 |
+
content={
|
| 117 |
+
"status": "success",
|
| 118 |
+
"model_loaded": ai.model is not None,
|
| 119 |
+
"model_path": ai.model_path,
|
| 120 |
+
}
|
| 121 |
+
)
|