12 fix docs (#13)
* 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
This commit was merged in pull request #13.
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@@ -45,13 +45,32 @@ class NewsAPIsTool(NewsWrapper, Toolkit):
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],
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)
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# TODO Pensare se ha senso restituire gli articoli da TUTTI i wrapper o solo dal primo che funziona
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# la modifica è banale, basta usare try_call_all invece di try_call
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def get_top_headlines(self, limit: int = 100) -> list[Article]:
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return self.wrapper_handler.try_call(lambda w: w.get_top_headlines(limit))
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def get_latest_news(self, query: str, limit: int = 100) -> list[Article]:
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return self.wrapper_handler.try_call(lambda w: w.get_latest_news(query, limit))
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def get_top_headlines_aggregated(self, limit: int = 100) -> dict[str, list[Article]]:
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"""
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Calls get_top_headlines on all wrappers/providers and returns a dictionary mapping their names to their articles.
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Args:
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limit (int): Maximum number of articles to retrieve from each provider.
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Returns:
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dict[str, list[Article]]: A dictionary mapping providers names to their list of Articles
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"""
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return self.wrapper_handler.try_call_all(lambda w: w.get_top_headlines(limit))
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def get_latest_news_aggregated(self, query: str, limit: int = 100) -> dict[str, list[Article]]:
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"""
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Calls get_latest_news on all wrappers/providers and returns a dictionary mapping their names to their articles.
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Args:
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query (str): The search query to find relevant news articles.
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limit (int): Maximum number of articles to retrieve from each provider.
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Returns:
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dict[str, list[Article]]: A dictionary mapping providers names to their list of Articles
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"""
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return self.wrapper_handler.try_call_all(lambda w: w.get_latest_news(query, limit))
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NEWS_INSTRUCTIONS = """
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**TASK:** You are a specialized **Crypto News Analyst**. Your goal is to fetch the latest news or top headlines related to cryptocurrencies, and then **analyze the sentiment** of the content to provide a concise report to the team leader. Prioritize 'crypto' or specific cryptocurrency names (e.g., 'Bitcoin', 'Ethereum') in your searches.
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@@ -59,6 +78,8 @@ NEWS_INSTRUCTIONS = """
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**AVAILABLE TOOLS:**
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1. `get_latest_news(query: str, limit: int)`: Get the 'limit' most recent news articles for a specific 'query'.
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2. `get_top_headlines(limit: int)`: Get the 'limit' top global news headlines.
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3. `get_latest_news_aggregated(query: str, limit: int)`: Get aggregated latest news articles for a specific 'query'.
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4. `get_top_headlines_aggregated(limit: int)`: Get aggregated top global news headlines.
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**USAGE GUIDELINE:**
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* Always use `get_latest_news` with a relevant crypto-related query first.
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