imort CSV files

import_csv.py

@@ -23,6 +23,7 @@ class CsvImporter:
             
         self.csv_path = csv_path
         self.coin = coin
+        # --- FIX: Corrected the f-string syntax for the table name ---
         self.table_name = f"{self.coin}_1m"
         self.db_path = os.path.join("_data", "market_data.db")
         self.column_mapping = {
@@ -86,6 +87,10 @@ class CsvImporter:
         # Clean and format the data
         df.rename(columns=self.column_mapping, inplace=True)
         df['datetime_utc'] = pd.to_datetime(df['datetime_utc'])
+
+        # --- FIX: Calculate the millisecond timestamp from the datetime column ---
+        # This converts the datetime to nanoseconds and then to milliseconds.
+        df['timestamp_ms'] = (df['datetime_utc'].astype('int64') // 10**6)
         
         # Filter the data to find only rows that are outside the range of what's already in the DB
         if db_oldest and db_newest:
@@ -145,3 +150,5 @@ if __name__ == "__main__":
     
     importer = CsvImporter(log_level=args.log_level, csv_path=args.file, coin=args.coin)
     importer.run()
+
+