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.
This commit is contained in:
Simo
@@ -1,30 +1,88 @@
|
||||
# Versione pubblica senza autenticazione
|
||||
import os
|
||||
from datetime import datetime
|
||||
from binance.client import Client
|
||||
from .base import ProductInfo, BaseWrapper, Price
|
||||
|
||||
# TODO fare l'aggancio con API in modo da poterlo usare come wrapper di mercato
|
||||
# TODO implementare i metodi di BaseWrapper
|
||||
def get_product(currency: str, ticker_data: dict[str, str]) -> 'ProductInfo':
|
||||
product = ProductInfo()
|
||||
product.id = ticker_data.get('symbol')
|
||||
product.symbol = ticker_data.get('symbol', '').replace(currency, '')
|
||||
product.price = float(ticker_data.get('price', 0))
|
||||
product.volume_24h = float(ticker_data.get('volume', 0))
|
||||
product.status = "TRADING" # Binance non fornisce status esplicito
|
||||
product.quote_currency = currency
|
||||
return product
|
||||
|
||||
class PublicBinanceAgent:
|
||||
def __init__(self):
|
||||
# Client pubblico (senza credenziali)
|
||||
self.client = Client()
|
||||
class BinanceWrapper(BaseWrapper):
|
||||
"""
|
||||
Wrapper per le API autenticate di Binance.\n
|
||||
Implementa l'interfaccia BaseWrapper per fornire accesso unificato
|
||||
ai dati di mercato di Binance tramite le API REST con autenticazione.\n
|
||||
https://binance-docs.github.io/apidocs/spot/en/
|
||||
"""
|
||||
|
||||
def get_public_prices(self):
|
||||
"""Ottiene prezzi pubblici"""
|
||||
try:
|
||||
btc_price = self.client.get_symbol_ticker(symbol="BTCUSDT")
|
||||
eth_price = self.client.get_symbol_ticker(symbol="ETHUSDT")
|
||||
def __init__(self, currency: str = "USDT"):
|
||||
api_key = os.getenv("BINANCE_API_KEY")
|
||||
api_secret = os.getenv("BINANCE_API_SECRET")
|
||||
|
||||
return {
|
||||
'BTC_USD': float(btc_price['price']),
|
||||
'ETH_USD': float(eth_price['price']),
|
||||
'source': 'binance_public'
|
||||
}
|
||||
except Exception as e:
|
||||
print(f"Errore: {e}")
|
||||
return None
|
||||
self.currency = currency
|
||||
self.client = Client(api_key=api_key, api_secret=api_secret)
|
||||
|
||||
# Uso senza credenziali
|
||||
public_agent = PublicBinanceAgent()
|
||||
public_prices = public_agent.get_public_prices()
|
||||
print(public_prices)
|
||||
def __format_symbol(self, asset_id: str) -> str:
|
||||
"""
|
||||
Formatta l'asset_id nel formato richiesto da Binance.
|
||||
"""
|
||||
return asset_id.replace('-', '') if '-' in asset_id else f"{asset_id}{self.currency}"
|
||||
|
||||
def get_product(self, asset_id: str) -> ProductInfo:
|
||||
symbol = self.__format_symbol(asset_id)
|
||||
|
||||
ticker = self.client.get_symbol_ticker(symbol=symbol)
|
||||
ticker_24h = self.client.get_ticker(symbol=symbol)
|
||||
ticker['volume'] = ticker_24h.get('volume', 0) # Aggiunge volume 24h ai dati del ticker
|
||||
|
||||
return get_product(self.currency, ticker)
|
||||
|
||||
def get_products(self, asset_ids: list[str]) -> list[ProductInfo]:
|
||||
symbols = [self.__format_symbol(asset_id) for asset_id in asset_ids]
|
||||
symbols_str = f"[\"{'","'.join(symbols)}\"]"
|
||||
|
||||
tickers = self.client.get_symbol_ticker(symbols=symbols_str)
|
||||
tickers_24h = self.client.get_ticker(symbols=symbols_str) # un po brutale, ma va bene così
|
||||
for t, t24 in zip(tickers, tickers_24h):
|
||||
t['volume'] = t24.get('volume', 0)
|
||||
|
||||
return [get_product(self.currency, ticker) for ticker in tickers]
|
||||
|
||||
def get_all_products(self) -> list[ProductInfo]:
|
||||
all_tickers = self.client.get_ticker()
|
||||
products = []
|
||||
|
||||
for ticker in all_tickers:
|
||||
# Filtra solo i simboli che terminano con la valuta di default
|
||||
if ticker['symbol'].endswith(self.currency):
|
||||
product = get_product(self.currency, ticker)
|
||||
products.append(product)
|
||||
return products
|
||||
|
||||
def get_historical_prices(self, asset_id: str = "BTC", limit: int = 100) -> list[Price]:
|
||||
symbol = self.__format_symbol(asset_id)
|
||||
|
||||
# Ottiene candele orarie degli ultimi 30 giorni
|
||||
klines = self.client.get_historical_klines(
|
||||
symbol=symbol,
|
||||
interval=Client.KLINE_INTERVAL_1HOUR,
|
||||
limit=limit,
|
||||
)
|
||||
|
||||
prices = []
|
||||
for kline in klines:
|
||||
price = Price()
|
||||
price.open = float(kline[1])
|
||||
price.high = float(kline[2])
|
||||
price.low = float(kline[3])
|
||||
price.close = float(kline[4])
|
||||
price.volume = float(kline[5])
|
||||
price.time = str(datetime.fromtimestamp(kline[0] / 1000))
|
||||
prices.append(price)
|
||||
return prices
|
||||
|
||||
Reference in New Issue
Block a user