chore(dataflows): use the module logger and drop dead helpers

- four modules wrote to stdout with print() while ten others use a module
  logger; a warning printed into the rendered CLI output is effectively
  invisible, which is how the trim failure above went unnoticed
- convert the remaining calls to logger.warning with lazy formatting
- remove save_output, SavePathType, decorate_all_methods and get_next_weekday
  from utils, none of which had a caller, along with the pandas and typing
  imports that only they needed

tradingagents/dataflows/alpha_vantage_indicator.py

@@ -1,5 +1,9 @@
+import logging
+
 from .alpha_vantage_common import AlphaVantageNotConfiguredError, _make_api_request
 
+logger = logging.getLogger(__name__)
+
 
 def get_indicator(
     symbol: str,
@@ -211,5 +215,5 @@ def get_indicator(
         # successful-looking error string.
         raise
     except Exception as e:
-        print(f"Error getting Alpha Vantage indicator data for {indicator}: {e}")
+        logger.warning("Alpha Vantage indicator %s failed: %s", indicator, e)
         return f"Error retrieving {indicator} data: {str(e)}"

tradingagents/dataflows/utils.py

@@ -1,10 +1,5 @@
 import re
-from datetime import date, datetime, timedelta
-from typing import Annotated
-
-import pandas as pd
-
-SavePathType = Annotated[str, "File path to save data. If None, data is not saved."]
+from datetime import date
 
 # Tickers can contain letters, digits, dot, dash, underscore, caret
 # (index symbols like ^GSPC), equals (futures like GC=F), and plus
@@ -42,34 +37,5 @@ def safe_ticker_component(value: str, *, max_len: int = 32) -> str:
     return value
 
 
-def save_output(data: pd.DataFrame, tag: str, save_path: SavePathType = None) -> None:
-    if save_path:
-        data.to_csv(save_path, encoding="utf-8")
-        print(f"{tag} saved to {save_path}")
-
-
 def get_current_date():
     return date.today().strftime("%Y-%m-%d")
-
-
-def decorate_all_methods(decorator):
-    def class_decorator(cls):
-        for attr_name, attr_value in cls.__dict__.items():
-            if callable(attr_value):
-                setattr(cls, attr_name, decorator(attr_value))
-        return cls
-
-    return class_decorator
-
-
-def get_next_weekday(date):
-
-    if not isinstance(date, datetime):
-        date = datetime.strptime(date, "%Y-%m-%d")
-
-    if date.weekday() >= 5:
-        days_to_add = 7 - date.weekday()
-        next_weekday = date + timedelta(days=days_to_add)
-        return next_weekday
-    else:
-        return date

tradingagents/dataflows/y_finance.py

@@ -1,3 +1,4 @@
+import logging
 from datetime import datetime
 from typing import Annotated
 
@@ -15,6 +16,8 @@ from .stockstats_utils import (
 )
 from .symbol_utils import NoMarketDataError, normalize_symbol
 
+logger = logging.getLogger(__name__)
+
 
 def get_YFin_data_online(
     symbol: Annotated[str, "ticker symbol of the company"],
@@ -189,7 +192,7 @@ def get_stock_stats_indicators_window(
     except NoMarketDataError:
         raise  # Unknown/delisted symbol — let the router emit the sentinel
     except Exception as e:
-        print(f"Error getting bulk stockstats data: {e}")
+        logger.warning("Bulk stockstats fetch failed, falling back per-day: %s", e)
         # Fallback to original implementation if bulk method fails
         ind_string = ""
         curr_date_dt = datetime.strptime(curr_date, "%Y-%m-%d")
@@ -264,9 +267,7 @@ def get_stockstats_indicator(
     except NoMarketDataError:
         raise  # Unknown/delisted symbol — let the router emit the sentinel
     except Exception as e:
-        print(
-            f"Error getting stockstats indicator data for indicator {indicator} on {curr_date}: {e}"
-        )
+        logger.warning("Stockstats indicator %s failed on %s: %s", indicator, curr_date, e)
         return ""
 
     return str(indicator_value)