d2fbc0ceea
* fix dependencies uv.lock * refactor test markers for clarity * refactor: clean up imports and remove unused files * refactor: remove unused agent files and clean up market API instructions * refactor: enhance wrapper initialization with keyword arguments and clean up tests * refactor: remove PublicBinanceAgent * refactor: aggregator - simplified MarketDataAggregator and related models to functions * refactor: update README and .env.example to reflect the latest changes to the project * refactor: simplify product info and price creation in YFinanceWrapper * refactor: remove get_all_products method from market API wrappers and update documentation * fix: environment variable assertions * refactor: remove status attribute from ProductInfo and update related methods to use timestamp_ms * feat: implement aggregate_history_prices function to calculate hourly price averages * refactor: update docker-compose and app.py for improved environment variable handling and compatibility * feat: add detailed market instructions and improve error handling in price aggregation methods * feat: add aggregated news retrieval methods for top headlines and latest news * refactor: improve error messages in WrapperHandler for better clarity * fix: correct quote currency extraction in create_product_info and remove debug prints from tests
121 lines
4.7 KiB
Python
121 lines
4.7 KiB
Python
import pytest
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from app.markets.base import ProductInfo, Price
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from app.utils.market_aggregation import aggregate_history_prices, aggregate_product_info
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@pytest.mark.aggregator
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@pytest.mark.market
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class TestMarketDataAggregator:
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def __product(self, symbol: str, price: float, volume: float, currency: str) -> ProductInfo:
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prod = ProductInfo()
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prod.id=f"{symbol}-{currency}"
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prod.symbol=symbol
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prod.price=price
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prod.volume_24h=volume
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prod.quote_currency=currency
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return prod
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def __price(self, timestamp_ms: int, high: float, low: float, open: float, close: float, volume: float) -> Price:
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price = Price()
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price.timestamp_ms = timestamp_ms
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price.high = high
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price.low = low
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price.open = open
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price.close = close
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price.volume = volume
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return price
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def test_aggregate_product_info(self):
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products: dict[str, list[ProductInfo]] = {
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"Provider1": [self.__product("BTC", 50000.0, 1000.0, "USD")],
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"Provider2": [self.__product("BTC", 50100.0, 1100.0, "USD")],
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"Provider3": [self.__product("BTC", 49900.0, 900.0, "USD")],
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}
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aggregated = aggregate_product_info(products)
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assert len(aggregated) == 1
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info = aggregated[0]
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assert info is not None
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assert info.symbol == "BTC"
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avg_weighted_price = (50000.0 * 1000.0 + 50100.0 * 1100.0 + 49900.0 * 900.0) / (1000.0 + 1100.0 + 900.0)
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assert info.price == pytest.approx(avg_weighted_price, rel=1e-3)
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assert info.volume_24h == pytest.approx(1000.0, rel=1e-3)
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assert info.quote_currency == "USD"
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def test_aggregate_product_info_multiple_symbols(self):
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products = {
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"Provider1": [
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self.__product("BTC", 50000.0, 1000.0, "USD"),
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self.__product("ETH", 4000.0, 2000.0, "USD"),
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],
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"Provider2": [
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self.__product("BTC", 50100.0, 1100.0, "USD"),
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self.__product("ETH", 4050.0, 2100.0, "USD"),
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],
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}
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aggregated = aggregate_product_info(products)
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assert len(aggregated) == 2
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btc_info = next((p for p in aggregated if p.symbol == "BTC"), None)
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eth_info = next((p for p in aggregated if p.symbol == "ETH"), None)
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assert btc_info is not None
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avg_weighted_price_btc = (50000.0 * 1000.0 + 50100.0 * 1100.0) / (1000.0 + 1100.0)
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assert btc_info.price == pytest.approx(avg_weighted_price_btc, rel=1e-3)
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assert btc_info.volume_24h == pytest.approx(1050.0, rel=1e-3)
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assert btc_info.quote_currency == "USD"
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assert eth_info is not None
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avg_weighted_price_eth = (4000.0 * 2000.0 + 4050.0 * 2100.0) / (2000.0 + 2100.0)
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assert eth_info.price == pytest.approx(avg_weighted_price_eth, rel=1e-3)
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assert eth_info.volume_24h == pytest.approx(2050.0, rel=1e-3)
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assert eth_info.quote_currency == "USD"
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def test_aggregate_product_info_with_no_data(self):
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products = {
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"Provider1": [],
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"Provider2": [],
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}
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aggregated = aggregate_product_info(products)
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assert len(aggregated) == 0
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def test_aggregate_product_info_with_partial_data(self):
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products = {
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"Provider1": [self.__product("BTC", 50000.0, 1000.0, "USD")],
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"Provider2": [],
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}
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aggregated = aggregate_product_info(products)
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assert len(aggregated) == 1
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info = aggregated[0]
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assert info.symbol == "BTC"
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assert info.price == pytest.approx(50000.0, rel=1e-3)
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assert info.volume_24h == pytest.approx(1000.0, rel=1e-3)
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assert info.quote_currency == "USD"
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def test_aggregate_history_prices(self):
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"""Test aggregazione di prezzi storici usando aggregate_history_prices"""
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prices = {
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"Provider1": [
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self.__price(1685577600000, 50000.0, 49500.0, 49600.0, 49900.0, 150.0),
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self.__price(1685581200000, 50200.0, 49800.0, 50000.0, 50100.0, 200.0),
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],
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"Provider2": [
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self.__price(1685577600000, 50100.0, 49600.0, 49700.0, 50000.0, 180.0),
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self.__price(1685581200000, 50300.0, 49900.0, 50100.0, 50200.0, 220.0),
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],
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}
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aggregated = aggregate_history_prices(prices)
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assert len(aggregated) == 2
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assert aggregated[0].timestamp_ms == 1685577600000
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assert aggregated[0].high == pytest.approx(50050.0, rel=1e-3)
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assert aggregated[0].low == pytest.approx(49550.0, rel=1e-3)
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assert aggregated[1].timestamp_ms == 1685581200000
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assert aggregated[1].high == pytest.approx(50250.0, rel=1e-3)
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assert aggregated[1].low == pytest.approx(49850.0, rel=1e-3)
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