use duckdb

app.py

@@ -40,19 +40,19 @@ def get_logger():
 
 logger = get_logger()
 
-def get_last_two_months_data():
+def get_last_one_month_data():
     con = duckdb.connect(':memory:')
-    two_months_ago = (datetime.now() - timedelta(days=60)).strftime('%Y-%m-%d')
+    one_month_ago = (datetime.now() - timedelta(days=30)).strftime('%Y-%m-%d')
     
     query1 = f"""
     SELECT *
     FROM read_parquet('./data/tools.parquet')
-    WHERE request_time >= '{two_months_ago}'
+    WHERE request_time >= '{one_month_ago}'
     """
     query2 = f"""
     SELECT *
     FROM read_parquet('./data/all_trades_profitability.parquet')
-    WHERE creation_timestamp >= '{two_months_ago}'
+    WHERE creation_timestamp >= '{one_month_ago}'
     """
     logger.info("Query 1: " + query1)
     logger.info("Query 2: " + query2)
@@ -64,7 +64,7 @@ def get_last_two_months_data():
     return df1, df2
         
 def prepare_data():
-    tools_df, trades_df = get_last_two_months_data()
+    tools_df, trades_df = get_last_one_month_data()
 
     tools_df['request_time'] = pd.to_datetime(tools_df['request_time'])
     trades_df['creation_timestamp'] = pd.to_datetime(trades_df['creation_timestamp'])