AttributeError: 'str' object has no attribute 'name'

[deathsperance]

Trying to grab an excel file from azure blob store and put into azure sql server instance. it was working and suddenly stopped. It was running on a coworkers machine and he is using 3.7 I am using 3.8.
Hoping someone can see something simple were missing.

Getting this error when I run it.

'table_name': tbl.name,
AttributeError: 'str' object has no attribute 'name'

import io
import requests
import openpyxl
import pandas as pd
from sqlalchemy import create_engine
import urllib


#Target Server Connection String
params = urllib.parse.quote_plus(r'Driver={ODBC Driver 17 for SQL Server};Server=servernamehere,1433;Uid=adminuser;Pwd=testpswd;database=Stage;Encrypt=yes;TrustServerCertificate=no;Connection Timeout=30;')


#Blob snapshot URL pulled from azure blob
input_excel = requests.get('https://testdata.blob.core.uscloudapi.net/testing6data/testing.xlsx, stream=True)

conn_str = 'mssql+pyodbc:///?odbc_connect={}'.format(params)

engn = create_engine(conn_str,echo=True)
# Loads the excel file into the eb variable
wb = openpyxl.load_workbook(filename=io.BytesIO(input_excel.content), data_only='True')

tables_dict = {}
# Go through each worksheet in the workbook
for ws_name in wb.sheetnames:
    #print(wb.sheetnames)
    print("")
    print(f"worksheet name: {ws_name}")
    ws = wb[ws_name]
    print(f"tables in worksheet: {len(ws._tables)}")
    # Get each table in the worksheet
    for tbl in ws._tables:
        # First, add some info about the table to the dictionary
        tables_dict[tbl.name] = {
                'table_name': tbl.name,
                'worksheet': ws_name,
                'num_cols': len(tbl.tableColumns),
                'table_range': tbl.ref}
        # Grab the 'data' from the table
        data = ws[tbl.ref]
        # Now convert the table 'data' to a Pandas DataFrame
        # First get a list of all rows, including the first header row
        rows_list = []
        for row in data:
            # Get a list of all columns in each row
            cols = []
            for col in row:
                cols.append(col.value)
                rows_list.append(cols)
        # Create a pandas dataframe from the rows_list.
        # The first row is the column names
        df = pd.DataFrame(data=rows_list[1:], index=None, columns=rows_list[0])
        # Add the dataframe to the dictionary of tables
        #  df = df.dropna(how='any')
        df.to_sql(tbl.name, engn, if_exists='append',schema='testing')
        print(df)
        tables_dict[tbl.name]['dataframe'] = df
print('-----------------------------done------------------------')

[Larz60+]

Please show complete unmodified error traceback. (in error tags)
It contains valuable process information on what happened prior to error, and more.

[deathsperance]

Sorry you can delete my post, it was just a simple version error with openpyxl

[ndc85430]

When something stops working, it's useful to work out what changed in that time, to help narrow down the cause. Did the code change at all? Something in the environment? Does it work on one version of Python and not the other?

[Larz60+]

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