load_workbook with data_only=True by default

README.md

@@ -110,6 +110,7 @@ Each object in the 'tables' array describes one or more CSV or Excel spreadsheet
 - **prefer_schema_as_string**: (optional) Bool value either as true or false (default). Should the schema be all read as string by default.
 - **selected**: (optional) Should this table be synced. Defaults to true. Setting to false will skip this table on a sync run.
 - **worksheet_name**: (optional) the worksheet name to pull from in the targeted xls file(s). Only required when format is excel
+- **data_only**: (optional) Bool value either as true (default) or false. When enabled, get the latest value computed by Excel instead of the formula. Only required when format is Excel
 - **delimiter**: (optional) the delimiter to use when format is 'csv'. Defaults to a comma ',' but you can set delimiter to 'detect' to leverage the csv "Sniffer" for auto-detecting delimiter. 
 - **quotechar**: (optional) the character used to surround values that may contain delimiters - defaults to a double quote '"'
 - **json_path**: (optional) the JSON key under which the list of objets to use is located. Defaults to None, corresponding to an array at the top level of the JSON tree.

tap_spreadsheets_anywhere/configuration.py

@@ -19,6 +19,7 @@
         Optional('field_names'): [str],
         Optional('search_prefix'): str,
         Optional('worksheet_name'): str,
+        Optional('data_only'): bool,
         Optional('delimiter'): str,
         Optional('quotechar'): str,
         Optional('json_path'): str,

tap_spreadsheets_anywhere/excel_handler.py

@@ -62,7 +62,8 @@ def get_legacy_row_iterator(table_spec, file_handle):
 
 
 def get_row_iterator(table_spec, file_handle):
-    workbook = openpyxl.load_workbook(file_handle, read_only=True)
+    data_only = table_spec.get("data_only", True)
+    workbook = openpyxl.load_workbook(file_handle, read_only=True, data_only=data_only)
 
     if "worksheet_name" in table_spec:
         try: