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  • Customer / Fuel Type (new) Notebooks
    • SMMT-1a-OCR-fueltype-newformat.ipyn
    • SMMT-1b-CLEANSE-fueltype-newformat.ipynb
    • SMMT-1c-SAVE-fueltype-newformat.ipynb
  • Fuel Type (old)
    • SMMT-2a-OCR-fueltype-oldformat.ipynb
    • SMMT-2b-CLEANSE-fueltype-oldformat.ipynb
    • SMMT-2c-SAVE-fueltype-oldformat.ipynb
  • Customer Type (old)
    • SMMT-3a-OCR-custtype-newformat.ipynb
    • SMMT-3b-CLEANSE-custtype-newformat.ipynb
    • SMMT-3c-SAVE-custtype-newformat.ipynb

Import Libraries¶

In [5]:
#!/usr/bin/env python3
from termcolor import colored

Initialise notebook options¶

In [6]:
source_path = "/home/hass/Development/smmtdata-evolved/ocr/"
#source_path = "ocr/"

import_name = source_path + "OUT_3a_custtype_OCR_newformat-2023.txt"
import_file = open(import_name, 'r').readlines()

output_path = "/home/hass/Development/smmtdata-evolved/ocr/"
#output_path = "ocr/"
output_name = output_path + "OUT_3b_custtype_CLEANSE_newformat-2023.csv"
output_file = open(output_name, 'w')

Replacements & removals lists¶

Replacements list tuple

In [ ]:
REPLACEMENTS = [
    ("MHEV diesel", "MHEV_Diesel"),
    ("MHEVdiesel", "MHEV_Diesel"),
    ("MHEV petrol", "MHEV_Petrol"),
    ("MHEVpetrol", "MHEV_Petrol"),
    (" 3 ", " "),
    (" 5 ", " "),
    (" 2 ", " "),
    (" i ", " "),
    ("  ", " "),
    (",", " "),
    (" ", ","),
    ('January','January,,'),
    ('February','February,,'),
    ('March','March,,'),
    ('April','April,,'),
    ('May','May,,'),
    ('June','June,,'),
    ('July','July,,'),
    ('August','August,,'),
    ('September','September,,'),
    ('October','October,,'),
    ('November','November,,'),
    ('December','December,,'),
    ('JANUARY','January,,'),
    ('FEBRUARY','February,,'),
    ('MARCH','March,,'),
    ('APRIL','April,,'),
    ('MAY','May,,'),
    ('JUNE','June,,'),
    ('JULY','July,,'),
    ('AUGUST','August,,'),
    ('SEPTEMBER','September,,'),
    ('OCTOBER','October,,'),
    ('NOVEMBER','November,,'),
    ('DECEMBER','December,,'),
   
    ('2019,2018',',2019,2018'),
    ('2019,2018',',2019,2018'),
    ('2020,2019',',2020,2019'),
    ('2021,2020',',2021,2020'),
    ('2022,2021',',2022,2021'),
    ('2023,2022',',2023,2022'),
    (',,20',',20')

]

1 - Clean the data¶

  • Remove unwanted change and market share lines
  • Correct Tesseract common errors
  • Remove blank lines
  • Generate a clean CSV for the PANDAS import
  • Track line numbers for error reporting
In [ ]:
print("\n")
print("\n")
print("DATA CLEANSING : " + import_name)
uline = colored("================================================================================================================================", "black", "on_white")
print(uline)
print("\n")


line_count = 0 # count lines

for line in import_file:

    if "change" in line == True:
        pass
        # ignore line
        # print("Change True" + "\n")
        
    elif "mkt" in line == True:
        pass
        # also do nothing
        # print("mkt True" + "\n")
    elif "Mkt" in line == True:
        pass
        # also do nothing
        # print("Mkt True" + "\n")
    elif line == "\n":
        pass
        # also do nothing
        # print("Mkt True" + "\n")
    elif len(line.strip()) == 0:
        pass
        # also do nothing / skip line
        # print("Blank Line" + "\n")
    else:
        for old, new in REPLACEMENTS:
            line = line.replace(old,new)
       
        linecheck = line.strip().split(",")
        if len(linecheck) != 3:
            print("================================================================================================================================")
            print("Line Error : " + str(line_count) + "  Field Count : " + str(len(linecheck)))
            error_line = colored(line, "black", "on_white").replace("\n","") 
            print(error_line)
        output_line = line.strip().replace("\n","") 
        output_file.write(output_line)
        print(output_line)
        output_file.write("\n")

        #print(line)
        line_count += 1
    

output_file.close()



print("The generated file needs to be validated, OCR is not 100% reliable")
print("================================================================================================================================")
print("\n")
print("Import File : " + import_name)
print("\n")
print("Output File : " + output_name)
print("\n")
print("================================================================================================================================")