ToDo:

1. Aggiungere un aggregator per i dati recuperati dai provider.
2. Lavorare effettivamente all'issue

Done:
1. creati test per i provider
2. creato market_providers_api_demo.py per mostrare i dati recuperati dalle api dei providers
3. aggiornato i provider
4. creato il provider binance sia pubblico che con chiave
5. creato error_handler.py per gestire decoratori e utilità: retry automatico, gestione timeout...

src/app/markets/base.py

@@ -1,4 +1,4 @@
-from coinbase.rest.types.product_types import Candle, GetProductResponse
+from coinbase.rest.types.product_types import Candle, GetProductResponse, Product
 from pydantic import BaseModel
 
 class BaseWrapper:
@@ -27,16 +27,28 @@ class ProductInfo(BaseModel):
     status: str = ""
     quote_currency: str = ""
 
+    @staticmethod
     def from_coinbase(product_data: GetProductResponse) -> 'ProductInfo':
         product = ProductInfo()
-        product.id = product_data.product_id
-        product.symbol = product_data.base_currency_id
-        product.price = float(product_data.price)
-        product.volume_24h = float(product_data.volume_24h) if product_data.volume_24h else 0
+        product.id = product_data.product_id or ""
+        product.symbol = product_data.base_currency_id or ""
+        product.price = float(product_data.price) if product_data.price else 0.0
+        product.volume_24h = float(product_data.volume_24h) if product_data.volume_24h else 0.0
         # TODO Check what status means in Coinbase
-        product.status = product_data.status
+        product.status = product_data.status or ""
         return product
 
+    @staticmethod
+    def from_coinbase_product(product_data: Product) -> 'ProductInfo':
+        product = ProductInfo()
+        product.id = product_data.product_id or ""
+        product.symbol = product_data.base_currency_id or ""
+        product.price = float(product_data.price) if product_data.price else 0.0
+        product.volume_24h = float(product_data.volume_24h) if product_data.volume_24h else 0.0
+        product.status = product_data.status or ""
+        return product
+
+    @staticmethod
     def from_cryptocompare(asset_data: dict) -> 'ProductInfo':
         product = ProductInfo()
         product.id = asset_data['FROMSYMBOL'] + '-' + asset_data['TOSYMBOL']
@@ -46,6 +58,27 @@ class ProductInfo(BaseModel):
         product.status = "" # Cryptocompare does not provide status
         return product
 
+    @staticmethod
+    def from_binance(ticker_data: dict, ticker_24h_data: dict) -> 'ProductInfo':
+        """
+        Crea un oggetto ProductInfo da dati Binance.
+        
+        Args:
+            ticker_data: Dati del ticker di prezzo
+            ticker_24h_data: Dati del ticker 24h
+        
+        Returns:
+            Oggetto ProductInfo
+        """
+        product = ProductInfo()
+        product.id = ticker_data['symbol']
+        product.symbol = ticker_data['symbol'].replace('USDT', '').replace('BUSD', '')
+        product.price = float(ticker_data['price'])
+        product.volume_24h = float(ticker_24h_data['volume'])
+        product.status = "TRADING"  # Binance non fornisce status esplicito
+        product.quote_currency = "USDT"  # Assumiamo USDT come default
+        return product
+
 class Price(BaseModel):
     """
     Rappresenta i dati di prezzo per un asset, come ottenuti dalle API di mercato.
@@ -58,16 +91,18 @@ class Price(BaseModel):
     volume: float = 0.0
     time: str = ""
 
+    @staticmethod
     def from_coinbase(candle_data: Candle) -> 'Price':
         price = Price()
-        price.high = float(candle_data.high)
-        price.low = float(candle_data.low)
-        price.open = float(candle_data.open)
-        price.close = float(candle_data.close)
-        price.volume = float(candle_data.volume)
-        price.time = str(candle_data.start)
+        price.high = float(candle_data.high) if candle_data.high else 0.0
+        price.low = float(candle_data.low) if candle_data.low else 0.0
+        price.open = float(candle_data.open) if candle_data.open else 0.0
+        price.close = float(candle_data.close) if candle_data.close else 0.0
+        price.volume = float(candle_data.volume) if candle_data.volume else 0.0
+        price.time = str(candle_data.start) if candle_data.start else ""
         return price
 
+    @staticmethod
     def from_cryptocompare(price_data: dict) -> 'Price':
         price = Price()
         price.high = float(price_data['high'])