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fix symbol tool unnecessary mods

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This commit is contained in:
Giacomo Bertolazzi
2025-11-01 23:03:16 +01:00
parent c66332f240
commit 6e2203f984
1 changed files with 14 additions and 38 deletions
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38
src/app/api/tools/symbols_tool.py
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@@ -13,26 +13,17 @@ logging = logging.getLogger("crypto_symbols")
BASE_URL = "https://finance.yahoo.com/markets/crypto/all/" BASE_URL = "https://finance.yahoo.com/markets/crypto/all/"
class CryptoSymbolsTools(Toolkit): class CryptoSymbolsTools(Toolkit):
""" """
Class for obtaining cryptocurrency symbols via Yahoo Finance. Class for obtaining cryptocurrency symbols via Yahoo Finance.
(This class-level docstring is for developers).
""" """
def __init__(self, cache_file: str = 'resources/cryptos.csv'): def __init__(self, cache_file: str = 'resources/cryptos.csv'):
self.cache_file = cache_file self.cache_file = cache_file
try: self.final_table = pd.read_csv(self.cache_file) if os.path.exists(self.cache_file) else pd.DataFrame() # type: ignore
self.final_table = pd.read_csv(self.cache_file) if os.path.exists(self.cache_file) else pd.DataFrame(
columns=['Symbol', 'Name'])
except Exception:
self.final_table = pd.DataFrame(columns=['Symbol', 'Name'])
Toolkit.__init__(self, # type: ignore Toolkit.__init__(self, # type: ignore
name="Crypto Symbols Tool", name="Crypto Symbols Tool",
instructions="A utility tool to find and verify the correct cryptocurrency symbols (tickers). " \ instructions="Tool to get cryptocurrency symbols and search them by name.",
"Use this to translate a cryptocurrency name (e.g., 'Bitcoin') into its official symbol " \
"(e.g., 'BTC-USD') *before* delegating tasks to the MarketAgent.",
tools=[ tools=[
self.get_all_symbols, self.get_all_symbols,
self.get_symbols_by_name, self.get_symbols_by_name,
@@ -42,9 +33,7 @@ class CryptoSymbolsTools(Toolkit):
def get_all_symbols(self) -> list[str]: def get_all_symbols(self) -> list[str]:
""" """
Returns a complete list of all available cryptocurrency symbols (tickers). Returns a complete list of all available cryptocurrency symbols (tickers).
The list could be very long, prefer using 'get_symbols_by_name' for specific searches.
Warning: This list can be very long. Prefer 'get_symbols_by_name'
if you are searching for a specific asset.
Returns: Returns:
list[str]: A comprehensive list of all supported crypto symbols (e.g., "BTC-USD", "ETH-USD"). list[str]: A comprehensive list of all supported crypto symbols (e.g., "BTC-USD", "ETH-USD").
@@ -54,32 +43,19 @@ class CryptoSymbolsTools(Toolkit):
def get_symbols_by_name(self, query: str) -> list[tuple[str, str]]: def get_symbols_by_name(self, query: str) -> list[tuple[str, str]]:
""" """
Searches the cryptocurrency database for assets matching a name or symbol. Searches the cryptocurrency database for assets matching a name or symbol.
Use this to find the exact, correct symbol for a cryptocurrency name. Use this to find the exact, correct symbol for a cryptocurrency name.
(e.g., query="Bitcoin" might return [("BTC-USD", "Bitcoin USD")]).
Args: Args:
query (str): The name, partial name, or symbol to search for (e.g., "Bitcoin", "ETH"). query (str): The name, partial name, or symbol to search for (e.g., "Bitcoin", "ETH").
Returns: Returns:
list[tuple[str, str]]: A list of tuples, where each tuple contains list[tuple[str, str]]: A list of tuples, where each tuple contains
the (symbol, full_name) of a matching asset. the (symbol, full_name) of a matching asset.
Returns an empty list if no matches are found. Returns an empty list if no matches are found.
""" """
if self.final_table.empty or 'Name' not in self.final_table.columns or 'Symbol' not in self.final_table.columns: query_lower = query.lower()
return [] positions = self.final_table['Name'].str.lower().str.contains(query_lower) | \
self.final_table['Symbol'].str.lower().str.contains(query_lower)
try: filtered_df = self.final_table[positions]
# Cerca sia nel nome che nel simbolo, ignorando maiuscole/minuscole
mask = self.final_table['Name'].str.contains(query, case=False, na=False) | \
self.final_table['Symbol'].str.contains(query, case=False, na=False)
filtered_df = self.final_table[mask]
# Converte il risultato in una lista di tuple
return list(zip(filtered_df['Symbol'], filtered_df['Name'])) return list(zip(filtered_df['Symbol'], filtered_df['Name']))
except Exception:
return []
async def fetch_crypto_symbols(self, force_refresh: bool = False) -> None: async def fetch_crypto_symbols(self, force_refresh: bool = False) -> None:
""" """