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m2_scrape.py
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#Name: m2_scrape.py
#Purpose: Scrape specific tax revenue values from downloaded PDFs
#Invocation: python3 m2_scrape.py <projName> <yyyy> <mm>
import codecs
import os
import re
import sys
#Name: valid_arguments
#Purpose: Check whether the command-line arguments are valid
#Parameters: sys.argv (globally defined list of command-line arguments)
#Returns: True (all arguments are valid) or False (at least one argument is invalid)
def valid_arguments():
yearValid = [str(yyyy) for yyyy in range(2000, 2051)]
monthValid = ["01", "02", "03", "04", "05", "06", "07", "08", "09", "10", "11", "12"]
if len(sys.argv) == 4 and re.search(r"^[a-zA-Z][a-zA-Z_-]*$", sys.argv[1]) and sys.argv[2] in yearValid and sys.argv[3] in monthValid:
return True
return False
#Name: print_section
#Purpose: Print name of section
#Parameters: section (section name)
#Returns:
def print_section(section):
n = len(section)
print("")
print("=" * (n + 12))
print("=== {} ===".format(section))
print("=" * (n + 12))
print("")
return
#Name: convert_pdf_to_txt
#Purpose: Convert PDF to TXT format using the pdftotext utility
#Parameters: pdfLoc (path of PDF)
# txtLoc (path of TXT file)
#Returns:
def convert_pdf_to_txt(pdfLoc, txtLoc):
os.system("pdftotext -layout {} {}".format(pdfLoc, txtLoc))
if os.path.isfile(txtLoc) and os.stat(txtLoc).st_size == 0:
os.system("rm {}".format(txtLoc))
return
#Name: clean_text
#Purpose: Remove whitespace and convert some characters to spaces
#Parameters: line (line of text)
#Returns: Cleaned line of text
def clean_text(line):
l = line.lower()
l = re.sub(r"[\f\n\r\t\v]+", "", l)
l = re.sub(r"\xa0", " ", l)
l = re.sub(u"\u2014", "-", l)
l = re.sub(r"[^ a-z0-9,.!?:;$%&<>()[]{}/_=+-]+", " ", l)
return l
#Name: get_text
#Purpose: Read in TXT file
#Parameters: txtLoc (path of TXT file)
#Returns: List of cleaned lines of text
def get_text(txtLoc):
f = codecs.open(txtLoc, "r", encoding="utf8")
lines_clean = [clean_text(line) for line in f.readlines()]
f.close()
return lines_clean
#Name: clean_value
#Purpose: Standardize negative tax value
#Parameters: value (tax value)
#Returns: Cleaned tax value
def clean_value(value):
value_temp = re.sub(r"\$", "", value)
value_temp = re.sub(r"\*", "-", value_temp)
n = len(value_temp)
if value_temp[0] == "(" and value_temp[n-1] == ")":
value_new = "-{}".format(value_temp[1:n-1])
elif value_temp == "-" or value_temp == "--" or value_temp == "---":
value_new = "0"
else:
value_new = value_temp
return value_new
#Name: scrape_data_XX
#Purpose: Apply a template and scrape data from the PDF for state XX
#Parameters: lines_clean (clean lines of text)
# state
# yyyy (4-digit year)
# mm (2-digit month)
#Returns: List of lists (one for each line item) containing scraped data
#Alabama
def scrape_data_AL(lines_clean, state, yyyy, mm):
data = []
tax_types = []
tax_values = []
tax_units = []
tax_times = []
month_zone = False
col = 1
unit = "dollars"
time = "month"
for line in lines_clean:
if len(line) != 0:
m_month = re.search(r"\S+\s+\S+\s+\S+\s+(january|february|march|april|may|june|july|august|september|october|november|december)\s+(january|february|march|april|may|june|july|august|september|october|november|december)", line)
if m_month:
month_zone = True
m_col = re.search(r"\s+(\d{4})\s+(\d{4})", line)
if m_col and int(m_col.group(2)) > int(m_col.group(1)):
col = 2
if month_zone:
m = re.search(r"bulk\s+storage\s+withdrawal\s+fee[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("bulk storage withdrawal fee")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"business\s+privilege\s+tax[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("business privilege tax")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"cmrs\s+wireless\s+911\s+service\s+charge[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("cmrs wireless 911 service charge")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"coal\s+severance\s+\(\$\.135/ton\)[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("coal severance ($.135/ton)")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"coal\s+severance\s+\(\$\.20/ton\)[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("coal severance ($.20/ton)")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"coal\s+severance\s+\(additional\)[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("coal severance (additional)")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"contractors'\s+gross\s+receipts[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("contractors gross receipts")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"deeds\s+and\s+assignments[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("deeds and assignments")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"dry\s+cleaning\s+registration fee[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("dry cleaning registration fee")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"estate\s+and\s+inheritance[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("estate and inheritance")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"financial\s+institutions\s+excise[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("financial institutions excise")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"forest\s+products\s+severance[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("forest products severance")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"freight\s+line\s+r.r.\s+equipment[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("freight line rr equipment")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"gasoline[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("gasoline")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"gasoline\s+\(aviation\s+(&|and)\s+jet\s+fuel\)[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("gasoline (aviation and jet fuel)")
tax_values.append(clean_value(m.group(col + 1)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"hazardous\s+waste[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("hazardous waste")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"hospital\s+assessment\s+fee[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("hospital assessment fee")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"hydro-electric\s+kwh[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("hydro-electric kwh")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"ifta\s+license\s+tax[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("ifta license tax")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"income\s+tax-corporate[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("income tax-corporate")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"income\s+tax-individual[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("income tax-individual")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"irp\s+registration\s+fees[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("irp registration fees")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"lodgings[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("lodgings")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"medicaid\s+nursing\s+facility[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("medicaid nursing facility")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"medicaid\s+pharm\.?\s+services[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("medicaid pharm services")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"miscellaneous\s+tags[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("miscellaneous tags")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"miscellaneous\s+taxes\*[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("miscellaneous taxes")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"mobile\s+telecom\s+tax[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("mobile telecom tax")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"motor\s+fuels\s+\(compressed/liquified\s+gas\)[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("motor fuels (compressed/liquified gas)")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"motor\s+fuels\s+\(diesel\)[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("motor fuels (diesel)")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"motor\s+registration\s+reinstate\s+fees[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("motor registration reinstate fees")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"motor\s+vehicle\s+title\s+fees[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("motor vehicle title fees")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"motor\s+veh\s+salv\s+inspec\s+fees[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("motor vehicle salv inspec fees")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"oil\s+&?\s+gas\s+privilege\s+\(8\%\)[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("oil and gas privilege (8%)")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"oil\s+(&|and)\s+gas\s+production\s+\(2\%\)[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("oil and gas production (2%)")
tax_values.append(clean_value(m.group(col + 1)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"oil\s+lubricating[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("oil lubricating")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"oil\s+wholesale\s+license[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("oil wholesale license")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"pari-mutuel\s+pool[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("pari-mutuel pool")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"petroleum\s+commodities\s+inspection\s+fee[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("petroleum commodities inspection fee")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"property\s+tax\**[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("property tax")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"rental\s+or\s+leasing[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("rental or leasing")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"sales[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("sales")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"scrap\s+tire\s+environmental\s+fee[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("scrap tire environmental fee")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"simplified\s+sellers\s+use\s+tax[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("simplified sellers use tax")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"solid\s+waste\s+disposal\s+fee[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("solid waste disposal fee")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"store\s+licenses[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("store licenses")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"tobacco\s+cigarette\s+tax[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("tobacco cigarette tax")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"tobacco\s+otp\s+tax[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("tobacco otp tax")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"use[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("use")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"utility\s+gross\s+receipts[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("utility gross receipts")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"utility\s+license\s+\(2.2\%\)[\s.]+(\(?[\d.,$]+\)?)", line)
if m:
tax_types.append("utility license (2.2%)")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
n_types = len(tax_types)
n_values = len(tax_values)
n_units = len(tax_units)
n_times = len(tax_times)
if n_types > 0 and n_types == n_values and n_values == n_units and n_units == n_times:
for i in range(len(tax_types)):
data.append([state, yyyy, mm, tax_types[i], tax_values[i], tax_units[i], tax_times[i]])
return data
#Alaska
def scrape_data_AK(lines_clean, state, yyyy, mm):
data = []
tax_types = []
tax_values = []
tax_units = []
tax_times = []
n_types = len(tax_types)
n_values = len(tax_values)
n_units = len(tax_units)
n_times = len(tax_times)
if n_types > 0 and n_types == n_values and n_values == n_units and n_units == n_times:
for i in range(len(tax_types)):
data.append([state, yyyy, mm, tax_types[i], tax_values[i], tax_units[i], tax_times[i]])
return data
#Arizona
def scrape_data_AZ(lines_clean, state, yyyy, mm):
data = []
tax_types = []
tax_values = []
tax_units = []
tax_times = []
n_types = len(tax_types)
n_values = len(tax_values)
n_units = len(tax_units)
n_times = len(tax_times)
if n_types > 0 and n_types == n_values and n_values == n_units and n_units == n_times:
for i in range(len(tax_types)):
data.append([state, yyyy, mm, tax_types[i], tax_values[i], tax_units[i], tax_times[i]])
return data
#Arkansas
def scrape_data_AR(lines_clean, state, yyyy, mm):
data = []
tax_types = []
tax_values = []
tax_units = []
tax_times = []
n_types = len(tax_types)
n_values = len(tax_values)
n_units = len(tax_units)
n_times = len(tax_times)
if n_types > 0 and n_types == n_values and n_values == n_units and n_units == n_times:
for i in range(len(tax_types)):
data.append([state, yyyy, mm, tax_types[i], tax_values[i], tax_units[i], tax_times[i]])
return data
#California
def scrape_data_CA(lines_clean, state, yyyy, mm):
data = []
tax_types = []
tax_values = []
tax_units = []
tax_times = []
n_types = len(tax_types)
n_values = len(tax_values)
n_units = len(tax_units)
n_times = len(tax_times)
if n_types > 0 and n_types == n_values and n_values == n_units and n_units == n_times:
for i in range(len(tax_types)):
data.append([state, yyyy, mm, tax_types[i], tax_values[i], tax_units[i], tax_times[i]])
return data
#Colorado
def scrape_data_CO(lines_clean, state, yyyy, mm):
data = []
tax_types = []
tax_values = []
tax_units = []
tax_times = []
n_types = len(tax_types)
n_values = len(tax_values)
n_units = len(tax_units)
n_times = len(tax_times)
if n_types > 0 and n_types == n_values and n_values == n_units and n_units == n_times:
for i in range(len(tax_types)):
data.append([state, yyyy, mm, tax_types[i], tax_values[i], tax_units[i], tax_times[i]])
return data
#Connecticut
def scrape_data_CT(lines_clean, state, yyyy, mm):
data = []
tax_types = []
tax_values = []
tax_units = []
tax_times = []
rev_zone = False
ref_zone = False
indent_tct = 0
indent_rec = 0
line_tct = 0
line_rec = 0
line_num = 0
col = 1
unit = "dollars"
time = "month"
m_nn = False
for line in lines_clean:
if len(line) != 0:
line_num += 1
m_table_title = re.search(r"(current month revenue comparison|current month refunds comparison)", line)
if m_table_title:
if m_table_title.group(1) == "current month revenue comparison":
rev_zone = True
ref_zone = False
elif m_table_title.group(1) == "current month refunds comparison":
rev_zone = False
ref_zone = True
m_table_totals = re.search(r"(totals|total\s+refunds)\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m_table_totals:
rev_zone = False
ref_zone = False
m_col1 = re.search(r"(type\s+of\s+revenue|type\s+of\s+refund)\s+(\d{4})\s+(\d{4})", line)
m_col2 = re.search(r"tax\s+type\s+through\s+\S+\s+(\d{4})\s+through\s+\S+\s+(\d{4})", line)
if m_col1 and int(m_col1.group(3)) > int(m_col1.group(2)):
col = 2
if m_col2 and int(m_col2.group(2)) > int(m_col2.group(1)):
col = 2
if rev_zone:
m = re.search(r"withholding\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("withholding")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"estimates\s+and\s+finals\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("estimates and finals")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"sales\s+and\s+use\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("sales and use")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"room\s+occupancy\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("room occupancy")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"corporation\s+business\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("corporation business")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"pass-through\s+entity.\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("pass-through entity")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"unrelated\s+business\s+income\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("unrelated business income")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"cable,\s+satellite\s+and\s+video\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("cable satellite and video")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"peg\s+account\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("peg account")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"electric\s+&\s+power\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("electric and power")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"gas\s+companies\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("gas companies")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"railroads\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("railroads")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"estate\s+and\s+gift\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m and "estate and gift" not in tax_types:
tax_types.append("estate and gift")
tax_values.append(clean_value(m.group(col + 1)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"domestic\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("domestic")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"foreign\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("foreign")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"health\s+care\s+centers\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("health care centers")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m_nonadm = re.search(r"nonadmitted\s*/\s*unauthorized\s*/\s*", line)
if m_nonadm:
m_nn = True
m = re.search(r"\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m_nn and m:
m_nn = False
tax_types.append("nonadmitted unauthorized captive insurers")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"(alcoholic|alchoholic)\s+beverages\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("alcoholic beverages")
tax_values.append(clean_value(m.group(col + 1)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"cigarette\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("cigarette")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"electronic\s+cigarette\s+products\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("electronic cigarette products")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"tobacco\s+products\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("tobacco products")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"controlling\s+interest\s+transfer\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("controlling interest transfer")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"real\s+estate\s+conveyance\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m and "real estate conveyance" not in tax_types:
tax_types.append("real estate conveyance")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"petroleum\s+gross\s+earnings\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("petroleum gross earnings")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"admissions\s+&\s+dues\s+and\s+tnc\s+fee\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("admission and dues and tnc fee")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"dry\s+cleaners\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("dry cleaners")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"occupational\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("occupational")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"rental\s+surcharge\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("rental surcharge")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"solid\s+waste\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("solid waste")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"tourism\s+tax\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("tourism tax")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"controlled\s+substances\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("controlled substances")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"prepaid\s+wireless\s+e-?9-?1-?1\s+fee\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("prepaid wireless e911 fee")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"paid\s+preparer\s+fee\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("paid preparer fee")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"repealed\s+taxes\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("repealed taxes")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"nursing\s+home\s+user\s+fee\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("nursing home user fee")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"hospitals\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("hospitals")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"intermediate\s+care\s+facility\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("intermediate care facility")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"ambulatory\s+surgical\s+center\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("ambulatory surgical center")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"gasoline\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("gasoline")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"special\s+fuel\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("special fuel")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"motor\s+carrier\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("motor carrier")
tax_values.append(clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
if ref_zone:
m = re.search(r"(income\s+tax\s+withholding|withholding)\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("withholding refund")
tax_values.append("-" + clean_value(m.group(col + 1)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"(income\s+tax|income\s+tax\s+finals\s+&\s+estimates)\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("income tax refund")
tax_values.append("-" + clean_value(m.group(col + 1)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"sales\s+and\s+use\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("sales and use refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"business\s+use\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("business use refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"room\s+occupancy\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("room occupancy refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"business\s+entity\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("business entity refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"corporation\s+business\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("corporation business refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"(r\s+&\s+d\s+credit\s+buybacks|corporation\s+r&d|corporation\s+r\s+&\s+d)\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("r and d credit buybacks refund")
tax_values.append("-" + clean_value(m.group(col + 1)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"unrelated\s+business\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("unrelated business refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"cable,?\s+satellite,?\s+and\s+video\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("cable satellite and video refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"electric\s+&\s+power\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("electric and power refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"gas\s+companies\s+([\d,.$-]+)\s+([\d,.$-]+)", line)
if m:
tax_types.append("gas companies refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"estate\s+and\s+gift\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m and "estate and gift refund" not in tax_types:
tax_types.append("estate and gift refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"domestic\s+insurance\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("domestic insurance refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"foreign\s+(insurance|insurers)\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("foreign insurance refund")
tax_values.append("-" + clean_value(m.group(col + 1)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"(alcoholic|alchoholic)\s+beverages\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("alcoholic beverages refund")
tax_values.append("-" + clean_value(m.group(col + 1)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"(cigarette|cigarette\s+tax)\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("cigarette refund")
tax_values.append("-" + clean_value(m.group(col + 1)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"electronic\s+cigarette\s+products\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("electronic cigarette products refund")
tax_values.append("-" + clean_value(m.group(col + 1)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"tobacco\s+products\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("tobacco products refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"controlling\s+interest\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("controlling interest refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"real\s+estate\s+conveyance\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m and "real estate conveyance refund" not in tax_types:
tax_types.append("real estate conveyance refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"petroleum\s+gross\s+earnings\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("petroleum gross earnings refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"admissions\s+&\s+dues\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("admissions and dues refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"occupational\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("occupational refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"solid\s+waste\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("solid waste refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"(hospitals|hospital\s+net\s+revenue)\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("hospitals refund")
tax_values.append("-" + clean_value(m.group(col + 1)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"nursing\s+home\s+user\s+fee\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("nursing home user fee refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"gasoline\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("gasoline refund")
tax_values.append("-" + clean_value(m.group(col)))
tax_units.append(unit)
tax_times.append(time)
m = re.search(r"special\s+fuel\s+([\d,.()$-]+)\s+([\d,.()$-]+)", line)
if m:
tax_types.append("special fuel refund")