3 market api (#8)
* Creazione branch tool, refactor degli import e soppressione dei warning * Update pytest configuration and dependencies in pyproject.toml * Add news API integration and related configurations - Update .env.example to include NEWS_API_KEY configuration - Add newsapi-python dependency in pyproject.toml - Implement NewsAPI class for fetching news articles - Create Article model for structured news data - Add tests for NewsAPI functionality in test_news_api.py - Update pytest configuration to include news marker * Add news API functionality and update tests for article retrieval * 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... * Refactor news API integration to use NewsApiWrapper and GnewsWrapper; add tests for Gnews API functionality * Add CryptoPanic API integration and related tests; update .env.example and test configurations * Implement WrapperHandler for managing multiple news API wrappers; add tests for wrapper functionality * Enhance WrapperHandler - docstrings - add try_call_all method - update tests * pre merge con phil * Add DuckDuckGo and Google News wrappers; refactor CryptoPanic and NewsAPI - Implemented DuckDuckGoWrapper for news retrieval using DuckDuckGo tools. - Added GoogleNewsWrapper for accessing Google News RSS feed. - Refactored CryptoPanicWrapper to unify get_top_headlines and get_latest_news methods. - Updated NewsApiWrapper to simplify top headlines retrieval. - Added tests for DuckDuckGo and Google News wrappers. - Enhanced documentation for CryptoPanicWrapper and NewsApiWrapper. - Created base module for social media integrations. * - Refactor struttura progetto: divisione tra agent e toolkit * Refactor try_call_all method to return a dictionary of results; update tests for success and partial failures * Fix class and test method names for DuckDuckGoWrapper * Add Reddit API wrapper and related tests; update environment configuration * pre merge con giacomo * Fix import statements * Fixes - separated tests - fix tests - fix bugs reintroduced my previous merge * Refactor market API wrappers to streamline product and price retrieval methods * Add BinanceWrapper to market API exports * Finito ISSUE 3 * Final review - rm PublicBinanceAgent & updated demo - moved in the correct folder some tests - fix binance bug --------- Co-authored-by: trojanhorse47 <cosmomemory@hotmail.it> Co-authored-by: Berack96 <giacomobertolazzi7@gmail.com> Co-authored-by: Giacomo Bertolazzi <31776951+Berack96@users.noreply.github.com>
This commit was merged in pull request #8.
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@@ -1,18 +1,49 @@
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from coinbase.rest.types.product_types import Candle, GetProductResponse
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from pydantic import BaseModel
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class BaseWrapper:
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"""
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Interfaccia per i wrapper delle API di mercato.
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Implementa i metodi di base che ogni wrapper deve avere.
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Base class for market API wrappers.
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All market API wrappers should inherit from this class and implement the methods.
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"""
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def get_product(self, asset_id: str) -> 'ProductInfo':
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"""
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Get product information for a specific asset ID.
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Args:
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asset_id (str): The asset ID to retrieve information for.
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Returns:
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ProductInfo: An object containing product information.
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"""
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raise NotImplementedError
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def get_products(self, asset_ids: list[str]) -> list['ProductInfo']:
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"""
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Get product information for multiple asset IDs.
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Args:
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asset_ids (list[str]): The list of asset IDs to retrieve information for.
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Returns:
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list[ProductInfo]: A list of objects containing product information.
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"""
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raise NotImplementedError
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def get_all_products(self) -> list['ProductInfo']:
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"""
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Get product information for all available assets.
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Returns:
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list[ProductInfo]: A list of objects containing product information.
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"""
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raise NotImplementedError
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def get_historical_prices(self, asset_id: str = "BTC") -> list['Price']:
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def get_historical_prices(self, asset_id: str = "BTC", limit: int = 100) -> list['Price']:
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"""
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Get historical price data for a specific asset ID.
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Args:
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asset_id (str): The asset ID to retrieve price data for.
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limit (int): The maximum number of price data points to return.
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Returns:
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list[Price]: A list of Price objects.
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"""
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raise NotImplementedError
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class ProductInfo(BaseModel):
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@@ -27,25 +58,6 @@ class ProductInfo(BaseModel):
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status: str = ""
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quote_currency: str = ""
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def from_coinbase(product_data: GetProductResponse) -> 'ProductInfo':
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product = ProductInfo()
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product.id = product_data.product_id
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product.symbol = product_data.base_currency_id
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product.price = float(product_data.price)
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product.volume_24h = float(product_data.volume_24h) if product_data.volume_24h else 0
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# TODO Check what status means in Coinbase
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product.status = product_data.status
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return product
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def from_cryptocompare(asset_data: dict) -> 'ProductInfo':
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product = ProductInfo()
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product.id = asset_data['FROMSYMBOL'] + '-' + asset_data['TOSYMBOL']
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product.symbol = asset_data['FROMSYMBOL']
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product.price = float(asset_data['PRICE'])
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product.volume_24h = float(asset_data['VOLUME24HOUR'])
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product.status = "" # Cryptocompare does not provide status
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return product
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class Price(BaseModel):
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"""
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Rappresenta i dati di prezzo per un asset, come ottenuti dalle API di mercato.
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@@ -57,23 +69,3 @@ class Price(BaseModel):
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close: float = 0.0
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volume: float = 0.0
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time: str = ""
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def from_coinbase(candle_data: Candle) -> 'Price':
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price = Price()
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price.high = float(candle_data.high)
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price.low = float(candle_data.low)
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price.open = float(candle_data.open)
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price.close = float(candle_data.close)
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price.volume = float(candle_data.volume)
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price.time = str(candle_data.start)
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return price
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def from_cryptocompare(price_data: dict) -> 'Price':
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price = Price()
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price.high = float(price_data['high'])
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price.low = float(price_data['low'])
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price.open = float(price_data['open'])
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price.close = float(price_data['close'])
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price.volume = float(price_data['volumeto'])
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price.time = str(price_data['time'])
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return price
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