Refactor Predictor and market data handling

- Added Predictor class with input preparation and instructions for financial strategy generation.
- Removed PredictorAgent class and integrated its functionality into the new Predictor module.
- Created a base market API wrapper and specific implementations for Coinbase and CryptoCompare.
- Introduced PublicBinanceAgent for fetching public prices from Binance.
- Refactored ToolAgent to utilize the new Predictor and market API wrappers for improved data handling and predictions.
- Updated models to streamline the selection of available LLM providers.
- Removed deprecated signer classes for Coinbase and CryptoCompare.

src/app/markets/cryptocompare.py

@@ -0,0 +1,54 @@
+import requests
+from app.markets.base import ProductInfo, BaseWrapper, Price
+
+BASE_URL = "https://min-api.cryptocompare.com"
+
+class CryptoCompareWrapper(BaseWrapper):
+    def __init__(self, api_key:str, currency:str='USD'):
+        assert api_key is not None, "API key is required"
+
+        self.api_key = api_key
+        self.currency = currency
+
+    def __request(self, endpoint: str, params: dict = None) -> dict:
+        if params is None:
+            params = {}
+        params['api_key'] = self.api_key
+
+        response = requests.get(f"{BASE_URL}{endpoint}", params=params)
+        return response.json()
+
+    def get_product(self, asset_id: str) -> ProductInfo:
+        response = self.__request("/data/pricemultifull", params = {
+            "fsyms": asset_id,
+            "tsyms": self.currency
+        })
+        data = response.get('RAW', {}).get(asset_id, {}).get(self.currency, {})
+        return ProductInfo.from_cryptocompare(data)
+
+    def get_products(self, asset_ids: list[str]) -> list[ProductInfo]:
+        response = self.__request("/data/pricemultifull", params = {
+            "fsyms": ",".join(asset_ids),
+            "tsyms": self.currency
+        })
+        assets = []
+        data = response.get('RAW', {})
+        for asset_id in asset_ids:
+            asset_data = data.get(asset_id, {}).get(self.currency, {})
+            assets.append(ProductInfo.from_cryptocompare(asset_data))
+        return assets
+
+    def get_all_products(self) -> list[ProductInfo]:
+        raise NotImplementedError("CryptoCompare does not support fetching all assets")
+
+    def get_historical_prices(self, asset_id: str, day_back: int = 10) -> list[dict]:
+        assert day_back <= 30, "day_back should be less than or equal to 30"
+        response = self.__request("/data/v2/histohour", params = {
+            "fsym": asset_id,
+            "tsym": self.currency,
+            "limit": day_back * 24
+        })
+
+        data = response.get('Data', {}).get('Data', [])
+        prices = [Price.from_cryptocompare(price_data) for price_data in data]
+        return prices