Added read_csv and openpyxl requirement

export_mods_main.py

@@ -62,11 +62,11 @@
     # response = mods.rd_read_header(my_path)
     # print(response)
 
-    # Testing rd_write_string_to_file
-    out_path = "/bat/res_dev/project_data/write_string_test.txt"
-    content = "New content"
-    mods.rd_write_string_to_file(content.encode(encoding="utf-8"), out_path)
-    print("all done")
+    # # Testing rd_write_string_to_file
+    # out_path = "/bat/res_dev/project_data/write_string_test.txt"
+    # content = "New content"
+    # mods.rd_write_string_to_file(content.encode(encoding="utf-8"), out_path)
+    # print("all done")
 
     # # Testing rd_copy_file
     # src_path = "/bat/res_dev/project_data/write_string_test.txt"
@@ -88,3 +88,8 @@
 
 #     found_file = mods.rd_search_file(dir_path, ending)
 #     print(f"Found file: {found_file}")
+
+    # Testing read_excel
+    my_path = "bat/res_dev/project_data/test_excel_gz.xlsx"
+    df = mods.read_excel(my_path)
+    print(df.head())

requirements.txt

@@ -20,3 +20,4 @@ typing
 # boto3
 # raz_client
 # rdsa-utils==2.0.2
+openpyxl

src/utils/s3_mods.py

@@ -24,7 +24,7 @@
 
 # Third party libraries
 import pandas as pd
-from io import StringIO, TextIOWrapper
+from io import StringIO, TextIOWrapper, BytesIO
 
 
 # Local libraries
@@ -459,7 +459,7 @@ def rd_search_file(dir_path: str, ending: str) -> str:
 
 def read_excel(
     filepath: str,
-    client: boto3.client = s3_client,
+    client = s3_client,
     bucket_name: str = s3_bucket,
     **kwargs,
 ) -> pd.DataFrame:
@@ -491,18 +491,19 @@ def read_excel(
 
     """
 
-    bucket_name = validate_bucket_name(bucket_name)
-    filepath = validate_s3_file_path(filepath, allow_s3_scheme=False)
+#    bucket_name = validate_bucket_name(bucket_name)
+#    filepath = validate_s3_file_path(filepath, allow_s3_scheme=False)
 
     try:
         # Get the Excel file from S3
+
         response = client.get_object(Bucket=bucket_name, Key=filepath)
         s3_logger.info(
             f"Loaded Excel file from S3 bucket {bucket_name}, filepath {filepath}",
         )
 
         # Read the Excel file into a Pandas DataFrame
-        df = pd.read_excel(response["Body"], **kwargs)
+        df = pd.read_excel(BytesIO(response['Body'].read()), **kwargs)
 
     except Exception as e:
         error_message = (