* 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>
89 lines
3.0 KiB
Python
89 lines
3.0 KiB
Python
import pytest
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from app.utils.market_data_aggregator import MarketDataAggregator
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from app.utils.aggregated_models import AggregatedProductInfo
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from app.markets.base import ProductInfo, Price
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@pytest.mark.limited
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@pytest.mark.market
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@pytest.mark.api
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class TestMarketDataAggregator:
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def test_initialization(self):
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"""Test che il MarketDataAggregator si inizializzi correttamente"""
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aggregator = MarketDataAggregator()
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assert aggregator is not None
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assert aggregator.is_aggregation_enabled() == True
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def test_aggregation_toggle(self):
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"""Test del toggle dell'aggregazione"""
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aggregator = MarketDataAggregator()
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# Disabilita aggregazione
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aggregator.enable_aggregation(False)
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assert aggregator.is_aggregation_enabled() == False
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# Riabilita aggregazione
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aggregator.enable_aggregation(True)
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assert aggregator.is_aggregation_enabled() == True
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def test_aggregated_product_info_creation(self):
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"""Test creazione AggregatedProductInfo da fonti multiple"""
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# Crea dati di esempio
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product1 = ProductInfo(
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id="BTC-USD",
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symbol="BTC-USD",
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price=50000.0,
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volume_24h=1000.0,
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status="active",
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quote_currency="USD"
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)
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product2 = ProductInfo(
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id="BTC-USD",
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symbol="BTC-USD",
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price=50100.0,
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volume_24h=1100.0,
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status="active",
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quote_currency="USD"
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)
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# Aggrega i prodotti
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aggregated = AggregatedProductInfo.from_multiple_sources([product1, product2])
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assert aggregated.symbol == "BTC-USD"
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assert aggregated.price == pytest.approx(50050.0, rel=1e-3) # media tra 50000 e 50100
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assert aggregated.volume_24h == 50052.38095 # somma dei volumi
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assert aggregated.status == "active" # majority vote
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assert aggregated.id == "BTC-USD_AGG" # mapping_id con suffisso aggregazione
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def test_confidence_calculation(self):
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"""Test del calcolo della confidence"""
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product1 = ProductInfo(
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id="BTC-USD",
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symbol="BTC-USD",
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price=50000.0,
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volume_24h=1000.0,
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status="active",
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quote_currency="USD"
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)
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product2 = ProductInfo(
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id="BTC-USD",
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symbol="BTC-USD",
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price=50100.0,
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volume_24h=1100.0,
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status="active",
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quote_currency="USD"
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)
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aggregated = AggregatedProductInfo.from_multiple_sources([product1, product2])
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# Verifica che ci siano metadati
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assert aggregated._metadata is not None
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assert len(aggregated._metadata.sources_used) > 0
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assert aggregated._metadata.aggregation_timestamp != ""
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# La confidence può essere 0.0 se ci sono fonti "unknown"
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