creates a dbo schema based on a spreadsheet's tables

xls2sqldb

import openpyxl as xl

def get_table(workbook, sheet_name, table_name):
    ws = workbook[sheet_name]
    g = workbook.defined_names[table_name].destinations

    # note we expect python 3.7 ordered dictionaries by default
    table = {}
    for s,a in g:
        for col in ws[a][0]: # get columns
            table[col.value.replace(' ','_')] = { "data": [], "is_date": False }
        
        # zip the data into the table
        for n in ws[a][1:]: # get data in range
            for i,k in enumerate(table):
                table[k]["data"].append(n[i].value)
                if (n[i].is_date): # find any dates, whole column is a date type
                    table[k]["is_date"] = True

    table["_name"] = table_name
    return table

def get_item_value(table, column_name, origin_name, item_name):
    return table[column_name][table[origin_name].index(item_name)]

# must be data_only to get cached values
def get_workbook(xl_file):
    wb = xl.load_workbook(xl_file, data_only=True, read_only=True)
    return wb

# generate sql schema
def get_schema(table):
    name = table["_name"]
    schema = f"CREATE TABLE dbo.{name} (\n"
    
    for i,col in enumerate(table.items()):
        if (i < 1):
            schema += f"{col[i]} TEXT NOT NULL"
            continue
        if (i == len(table) - 1):
            continue

        schema += ",\n"
        schema += f"{col[0]} "
        schema += "DATE" if col[1]["is_date"] else "FLOAT"

    schema += "\n);"
    return schema