removes date datatype support from the tap code

CHANGELOG.md

@@ -1,5 +1,8 @@
 # Changelog
 
+## 3.0.0
+  * Remove support for date datatype [#95](https://github.com/singer-io/tap-google-sheets/pull/95)
+
 ## 2.1.0
   * Updates to run on python 3.11.7 [#94](https://github.com/singer-io/tap-google-sheets/pull/94)
 

README.md

@@ -48,21 +48,21 @@ This tap:
           - Invalid types: formulaValue, errorValue
       - Then check:
         - [effectiveFormat.numberFormat.type](https://developers.google.com/sheets/api/reference/rest/v4/spreadsheets/cells#NumberFormatType)
-          - Valid types: UNEPECIFIED, TEXT, NUMBER, PERCENT, CURRENCY, DATE, TIME, DATE_TIME, SCIENTIFIC
+          - Valid types: UNEPECIFIED, TEXT, NUMBER, PERCENT, CURRENCY, TIME, DATE_TIME, SCIENTIFIC
           - Determine JSON schema column data type based on the value and the above cell metadata settings.
-          - If DATE, DATE_TIME, or TIME, set JSON schema format accordingly
+          - If DATE_TIME, or TIME, set JSON schema format accordingly
 
 [**values (GET)**](https://developers.google.com/sheets/api/reference/rest/v4/spreadsheets.values/get)
 - Endpoint: https://sheets.googleapis.com/v4/spreadsheets/${spreadsheet_id}/values/'${sheet_name}'!${row_range}?dateTimeRenderOption=SERIAL_NUMBER&valueRenderOption=UNFORMATTED_VALUE&majorDimension=ROWS
-- This endpoint loops through sheets and row ranges to get the [unformatted values](https://developers.google.com/sheets/api/reference/rest/v4/ValueRenderOption) (effective values only), dates and datetimes as [serial numbers](https://developers.google.com/sheets/api/reference/rest/v4/DateTimeRenderOption)
+- This endpoint loops through sheets and row ranges to get the [unformatted values](https://developers.google.com/sheets/api/reference/rest/v4/ValueRenderOption) (effective values only), datetimes as [serial numbers](https://developers.google.com/sheets/api/reference/rest/v4/DateTimeRenderOption)
 - Primary keys: _sdc_row
 - Replication strategy: Full (GET file audit data for spreadsheet_id in config)
 - Process/Transformations:
   - Loop through sheets (compared to catalog selection)
     - Send metadata for sheet
   - Loop through ALL columns for columns having a column header
   - Loop through ranges of rows for ALL rows in sheet available area max row (from sheet metadata)
-  - Transform values, if necessary (dates, date-times, times, boolean). 
+  - Transform values, if necessary (date-times, times, boolean). 
     - Date/time serial numbers converted to date, date-time, and time strings. Google Sheets uses Lotus 1-2-3 [Serial Number](https://developers.google.com/sheets/api/reference/rest/v4/DateTimeRenderOption) format for date/times. These are converted to normal UTC date-time strings.
   - Process/send records to target
 

setup.py

@@ -3,7 +3,7 @@
 from setuptools import setup, find_packages
 
 setup(name='tap-google-sheets',
-      version='2.1.0',
+      version='3.0.0',
       description='Singer.io tap for extracting data from the Google Sheets v4 API',
       author='jeff.huth@bytecode.io',
       classifiers=['Programming Language :: Python :: 3 :: Only'],

tap_google_sheets/schema.py

@@ -123,7 +123,7 @@ def get_sheet_schema_columns(sheet):
             #  INVALID: errorType, formulaType
             #  https://developers.google.com/sheets/api/reference/rest/v4/spreadsheets/other#ExtendedValue
             #
-            # column_number_format_type = UNEPECIFIED, TEXT, NUMBER, PERCENT, CURRENCY, DATE,
+            # column_number_format_type = UNEPECIFIED, TEXT, NUMBER, PERCENT, CURRENCY,
             #   TIME, DATE_TIME, SCIENTIFIC
             #  https://developers.google.com/sheets/api/reference/rest/v4/spreadsheets/cells#NumberFormatType
             #
@@ -136,18 +136,12 @@ def get_sheet_schema_columns(sheet):
                 col_properties = {'type': ['null', 'boolean', 'string']}
                 column_gs_type = 'boolValue'
             elif column_effective_value_type == 'numberValue':
-                if column_number_format_type == 'DATE_TIME':
+                if column_number_format_type in ['DATE_TIME', 'DATE']:
                     col_properties = {
                         'type': ['null', 'string'],
                         'format': 'date-time'
                     }
                     column_gs_type = 'numberType.DATE_TIME'
-                elif column_number_format_type == 'DATE':
-                    col_properties = {
-                        'type': ['null', 'string'],
-                        'format': 'date'
-                    }
-                    column_gs_type = 'numberType.DATE'
                 elif column_number_format_type == 'TIME':
                     col_properties = {
                         'type': ['null', 'string'],
@@ -215,11 +209,11 @@ def get_sheet_schema_columns(sheet):
             }
             columns.append(column)
 
-            if column_gs_type in {'numberType.DATE_TIME', 'numberType.DATE', 'numberType.TIME', 'numberType'}:
+            if column_gs_type in {'numberType.DATE_TIME', 'numberType.TIME', 'numberType'}:
                 col_properties = {
                     'anyOf': [
                         col_properties,
-                        {'type': ['null', 'string']} # all the date, time has string types in schema
+                        {'type': ['null', 'string']} # all the time has string types in schema
                     ]
                 }
             # add the column properties in the `properties` in json schema for the respective column name

tap_google_sheets/transform.py

@@ -80,19 +80,6 @@ def transform_sheet_datetime_data(value, unformatted_value, sheet_title, col_nam
             sheet_title, col_name, col_letter, row_num, col_type))
         return str(value)
 
-# transform date values in the sheet
-def transform_sheet_date_data(value, unformatted_value, sheet_title, col_name, col_letter, row_num, col_type):
-    if isinstance(unformatted_value, (int, float)):
-        # passing both the formatted as well as the unformatted value, so we can use the string value in
-        # case of any errors while date transform
-        date_str, is_error =  excel_to_dttm_str(value, unformatted_value)
-        return_str = date_str if is_error else date_str[:10]
-        return return_str
-    else:
-        LOGGER.info('WARNING: POSSIBLE DATA TYPE ERROR; SHEET: {}, COL: {}, CELL: {}{}, TYPE: {}'.format(
-            sheet_title, col_name, col_letter, row_num, col_type))
-        return str(value)
-
 # transform time values in the sheet
 def transform_sheet_time_data(value, unformatted_value, sheet_title, col_name, col_letter, row_num, col_type):
     if isinstance(unformatted_value, (int, float)):
@@ -231,10 +218,6 @@ def get_column_value(value, unformatted_value, sheet_title, col_name, col_letter
     elif col_type == 'numberType.DATE_TIME':
         return transform_sheet_datetime_data(value, unformatted_value, sheet_title, col_name, col_letter, row_num, col_type)
 
-    # DATE
-    elif col_type == 'numberType.DATE':
-        return transform_sheet_date_data(value, unformatted_value, sheet_title, col_name, col_letter, row_num, col_type)
-
     # TIME ONLY (NO DATE)
     elif col_type == 'numberType.TIME':
         return transform_sheet_time_data(value, unformatted_value, sheet_title, col_name, col_letter, row_num, col_type)

tests/test_google_sheets_datatypes.py

@@ -164,8 +164,7 @@ def test_run(self):
         }
         string_column_formats = {
 	    "Datetime": "%Y-%m-%dT%H:%M:%S.%fZ",
-            "Time":  "%H:%M:%S",
-            "Date": "%Y-%m-%d",
+            "Time":  "%H:%M:%S"
         }
 
         for record in record_data:
@@ -207,7 +206,6 @@ def test_run(self):
             "Currency": "stringValue",
             "Datetime": "numberType.DATE_TIME",
             "Time": "numberType.TIME",
-            "Date": "numberType.DATE",
             "String": "stringValue",
             "Number": "numberType",
             "Boolean": "boolValue",

tests/unittests/test_null_cell_format.py

@@ -74,7 +74,7 @@ def test_null_date_effectiveFormat(self):
                                 "null",
                                 "string"
                             ],
-                            "format": "date"
+                            "format": "date-time"
                         }
 
         sheet_json_schema, columns = schema.get_sheet_schema_columns(sheet)