Writing the files requires a folder named "taxfiles" to be
created prior to running this script.
"""
from avatax.client import AvataxClient
from tax_code_list import sample_codes as tax_codes
import os
import sys
import time
import datetime
# Creates a client object using dummy company "tugboat"
tugboat = AvataxClient(None, None, None, "sandbox")
tugboat.add_credentials(os.environ["USERNAME"], os.environ["PASSWORD"])
comp_id = os.environ["COMPANY"]
comp_code = tugboat.get_company(comp_id).json()["companyCode"]
# get list of all zip codes with address by date
address_gen = tugboat.download_tax_rates_by_zip_code(
datetime.date.today().isoformat())
# List comprehension to create array of all addresses from generator
# slicing only address information
address_array = [
item.decode("utf-8").split(",")[:4] for item in address_gen.iter_lines()
][1:]
# create variables for analytic data to be sent to
analytics = []
analysis = open("./taxfiles/analytics.txt", "a")
location_list = []
iter_count = 0
new_client = AvataxClient(None, None, None, "sandbox")
new_client.add_credentials(os.environ["USERNAME"], os.environ["PASSWORD"])
# create variables for analytic data to be sent to
analytics = []
analysis = open("./taxfiles/analytics.txt", "a")
iter_count = 0
total_start_time = time.time()
tax_file_list = []
comp_id = os.environ["COMPANY"]
# get all the locations belonging to the target company.
location_list = new_client.list_locations_by_company(
comp_id).json()["value"]
# get the company code for the target company.
comp_code = new_client.get_company(comp_id).json()["companyCode"]
# go through the zip code list and generate an address
for entry in location_list:
iter_count += 1
duration = 0
loc_id = entry["id"]
# set up the model with the tax codes imported on ln 9
tax_model = {
"companyCode": comp_code,
"responseType": "Json",
"taxCodes": tax_codes, # imported from tax_codes file
"locationCodes": [entry["locationCode"]]
}
start = time.time()