def run_sql(self, line, cell):
query = cell
resp = self.querier.run_sql(query)
result = self.querier.async_wait_for_result(resp)
resp_table = result['results'][0]['table']
column_names = resp_table['column_names']
rows_dict = [dict(zip(column_names, row)) for row in resp_table['rows']]
table_result = Table.from_object(rows_dict)
table_result.print_table()
return table_result
def dbt_run_sql(context, sql):
sql_base64 = b64encode(sql.encode('utf-8')).decode('ascii')
name = hash_value(sql_base64)
resp = dbt_rcp_request(context,
"run_sql",
params={
"sql": sql_base64,
"timeout": 60,
"name": name
})
resp_table = resp['result']['results'][0]['table']
column_names = resp_table['column_names']
# # behave
# # we have to convert all cells to str for behave tables to work
# rows = [[str(x) for x in row] for row in resp_table['rows']]
# table = Table(column_names, rows=rows)
# return table
# agate
rows_dict = [dict(zip(column_names, row)) for row in resp_table['rows']]
return Table.from_object(rows_dict)
def behave2agate(table):
column_names = table.headings
rows = table.rows
rows_dict = [dict(zip(column_names, row)) for row in rows]
return Table.from_object(rows_dict)
