first_values = row_data[1].get('values', [])
# LOGGER.info('first_values = {}'.format(json.dumps(first_values, indent=2, sort_keys=True)))
- sheet_json_schema['type'] = 'object'
- sheet_json_schema['additionalProperties'] = False
sheet_json_schema = {
'type': 'object',
'additionalProperties': False,
# https://developers.google.com/sheets/api/reference/rest/v4/spreadsheets/cells#NumberFormatType
#
column_format = None # Default
- # column_multiple_of = None # Default
if column_effective_value_type == 'stringValue':
- column_type = ['null', 'string']
+ col_properties = {'type': ['null', 'string']}
column_gs_type = 'stringValue'
elif column_effective_value_type == 'boolValue':
- column_type = ['null', 'boolean', 'string']
+ col_properties = {'type': ['null', 'boolean', 'string']}
column_gs_type = 'boolValue'
elif column_effective_value_type == 'numberValue':
if column_number_format_type == 'DATE_TIME':
- column_type = ['null', 'string']
- column_format = 'date-time'
+ col_properties = {
+ 'type': ['null', 'string'],
+ 'format': 'date-time'
+ }
column_gs_type = 'numberType.DATE_TIME'
elif column_number_format_type == 'DATE':
- column_type = ['null', 'string']
- column_format = 'date'
+ col_properties = {
+ 'type': ['null', 'string'],
+ 'format': 'date'
+ }
column_gs_type = 'numberType.DATE'
elif column_number_format_type == 'TIME':
- column_type = ['null', 'string']
- column_format = 'time'
+ col_properties = {
+ 'type': ['null', 'string'],
+ 'format': 'time'
+ }
column_gs_type = 'numberType.TIME'
elif column_number_format_type == 'TEXT':
- column_type = ['null', 'string']
+ col_properties = {'type': ['null', 'string']}
column_gs_type = 'stringValue'
else:
- column_type = ['null', 'number', 'string']
+ # Interesting - order in the anyOf makes a difference.
+ # Number w/ multipleOf must be listed last, otherwise errors occur.
+ col_properties = {
+ 'anyOf': [
+ {
+ 'type': 'string'
+ },
+ {
+ 'type': 'null'
+ },
+ {
+ 'type': 'number',
+ 'multipleOf': 1e-15
+ }
+ ]
+ }
column_gs_type = 'numberType'
- elif column_effective_value_type in ('formulaValue', 'errorValue'):
- raise Exception('INVALID DATA TYPE ERROR: {}, value: {}'.format(column_name, \
+ # Catch-all to deal with other types and set to string
+ # column_effective_value_type: formulaValue, errorValue, or other
+ else:
+ col_properties = {'type': ['null', 'string']}
+ column_gs_type = 'unsupportedValue'
+ LOGGER.info('Unsupported data type: {}, value: {}'.format(column_name, \
column_effective_value_type))
+ LOGGER.info('Converting to string.')
else: # skipped
column_is_skipped = True
skipped = skipped + 1
column_index_str = str(column_index).zfill(2)
column_name = '__sdc_skip_col_{}'.format(column_index_str)
- column_type = ['null', 'string']
- column_format = None
+ col_properties = {'type': ['null', 'string']}
column_gs_type = 'stringValue'
if skipped >= 2:
}
columns.append(column)
- sheet_json_schema['properties'][column_name] = column
- sheet_json_schema['properties'][column_name]['type'] = column_type
- if column_format:
- sheet_json_schema['properties'][column_name]['format'] = column_format
+ sheet_json_schema['properties'][column_name] = col_properties
prior_header = column_name
i = i + 1
return sheet_json_schema, columns
+# Get Header Row and 1st data row (Rows 1 & 2) from a Sheet on Spreadsheet w/ sheet_metadata query
+# endpoint: spreadsheets/{spreadsheet_id}
+# params: includeGridData = true, ranges = '{sheet_title}'!1:2
+# This endpoint includes detailed metadata about each cell - incl. data type, formatting, etc.
def get_sheet_metadata(sheet, spreadsheet_id, client):
sheet_id = sheet.get('properties', {}).get('sheetId')
sheet_title = sheet.get('properties', {}).get('title')
spreadsheet_id), querystring)
sheet_md_results = client.get(path=path, api=api, endpoint=stream_name)
- sheet_cols = sheet_md_results.get('sheets')[0]
- sheet_schema, columns = get_sheet_schema_columns(sheet_cols)
+ # sheet_metadata: 1st `sheets` node in results
+ sheet_metadata = sheet_md_results.get('sheets')[0]
- return sheet_schema, columns
+ # Create sheet_json_schema (for discovery/catalog) and columns (for sheet_metadata results)
+ sheet_json_schema, columns = get_sheet_schema_columns(sheet_metadata)
+
+ return sheet_json_schema, columns
def get_abs_path(path):
path = '{}?{}'.format(stream_metadata.get('path').replace('{spreadsheet_id}', \
spreadsheet_id), querystring)
+ # GET spreadsheet_metadata, which incl. sheets (basic metadata for each worksheet)
spreadsheet_md_results = client.get(path=path, params=querystring, api=api, \
endpoint=stream_name)
sheets = spreadsheet_md_results.get('sheets')
if sheets:
+ # Loop thru each worksheet in spreadsheet
for sheet in sheets:
- sheet_schema, columns = get_sheet_metadata(sheet, spreadsheet_id, client)
+ # GET sheet_json_schema for each worksheet (from function above)
+ sheet_json_schema, columns = get_sheet_metadata(sheet, spreadsheet_id, client)
LOGGER.info('columns = {}'.format(columns))
sheet_title = sheet.get('properties', {}).get('title')
- schemas[sheet_title] = sheet_schema
+ schemas[sheet_title] = sheet_json_schema
sheet_mdata = metadata.new()
sheet_mdata = metadata.get_standard_metadata(
- schema=sheet_schema,
+ schema=sheet_json_schema,
key_properties=['__sdc_row'],
valid_replication_keys=None,
replication_method='FULL_TABLE'
projects / github / fretlink / tap-google-sheets.git / blobdiff