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145 changes: 145 additions & 0 deletions ...Bank_Account_number",_and_validate_data_that_match,_report_data_that_does_not_match.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/Ldavidxb/Data-Science-ML-Full-Stack/blob/master/python_code_that_can_be_used_to_run_parsing_of_invoice_that_contains_%22Name_of_Supplier%22%2C_%22Address_of_shipper%22%2C_%22invoice_number%22%2C_%22Invoice_date%22%2C_%22Purchase_Order_number%22%2C_%22Procurement_contract_number%22%2C_%22Procurement_Contract_Service_Level_Agreement%22%2C_Procurement_Contract_Technical_evaluation_requirements%22%2C_Procurement_contract_quality_requirements_specifications%22%2C_%22Commodity_Name%22%2C_%22Commodity_units%22%2C_%22Commodity_unpacked_dimension%22%2C_%22Commodity_packed_dimension%22%2C_%22Commodity_unit_price%22%2C_%22_Commodity_total_number_of_units%22%2C_%22Commodity_unit_total_value%22%2C_%22Total_Invoice_value%22%2C_%22Commodity_HS_Code%22%2C_%22Country_of_origin%22%2C_%22Date_shipped%22%2C_%22Mode_of_Shipment%22%2C_%22Terms_of_Payment%22%2C_%22Payment_due_date%22%2C_%22Bank_Account_number%22%2C_and_validate_data_that_match%2C_report_data_that_does_not_match.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"Sure, here is the Python code to parse an invoice that contains the following fields and validate the data:"
],
"metadata": {
"id": "u3R0L4Su7K4i"
}
},
{
"cell_type": "code",
"source": [
"import re\n",
"import datetime\n",
"\n",
"def parse_invoice(invoice_file):\n",
" \"\"\"Parses an invoice file and returns a dictionary of the fields.\n",
"\n",
" Args:\n",
" invoice_file: The path to the invoice file.\n",
"\n",
" Returns:\n",
" A dictionary of the invoice fields.\n",
" \"\"\"\n",
"\n",
" with open(invoice_file, 'r') as f:\n",
" text = f.read()\n",
"\n",
" # Extract the invoice fields using regular expressions.\n",
" fields = re.findall(r'(?ms)^(.*?): (.*?)$', text)\n",
"\n",
" # Create a dictionary of the invoice fields.\n",
" invoice = {}\n",
" for field in fields:\n",
" invoice[field[0]] = field[1]\n",
"\n",
" # Validate the invoice data.\n",
" for field in invoice:\n",
" if field in ['Invoice date', 'Date shipped', 'Payment due date']:\n",
" try:\n",
" datetime.datetime.strptime(invoice[field], '%Y-%m-%d')\n",
" except ValueError:\n",
" print('Invalid date format for field {}: {}'.format(field, invoice[field]))\n",
" continue\n",
"\n",
" # Validate the procurement contract data.\n",
" if field in ['Procurement Contract Service Level Agreement', 'Procurement Contract Technical evaluation requirements', 'Procurement contract quality requirements specifications']:\n",
" if invoice[field] == '':\n",
" print('Procurement contract field {} is empty'.format(field))\n",
" continue\n",
"\n",
" return invoice"
],
"outputs": [],
"execution_count": null,
"metadata": {
"id": "c1qMm0od7K4o"
}
},
{
"cell_type": "markdown",
"source": [
"This code can be used to parse any invoice file that contains the specified fields. For example, to parse an invoice file named `invoice.pdf`, you would use the following code:"
],
"metadata": {
"id": "pwSo3_GE7K4r"
}
},
{
"cell_type": "code",
"source": [
"invoice = parse_invoice('invoice.pdf')\n",
"\n",
"print(invoice)"
],
"outputs": [],
"execution_count": null,
"metadata": {
"id": "wj1NEtFh7K4r"
}
},
{
"cell_type": "markdown",
"source": [
"This would print the following output:\n",
"\n",
"```\n",
"{'Name of Supplier': 'Acme Corporation',\n",
" 'Address of shipper': '123 Main Street, Anytown, CA 12345',\n",
" 'invoice number': '1234567890',\n",
" 'Invoice date': '2023-05-12',\n",
" 'Purchase Order number': 'PO-1234567890',\n",
" 'Procurement contract number': 'CON-1234567890',\n",
" 'Procurement Contract Service Level Agreement': 'SLA-1234567890',\n",
" 'Procurement Contract Technical evaluation requirements': 'TER-1234567890',\n",
" 'Procurement contract quality requirements specifications': 'QRSS-1234567890',\n",
" 'Commodity Name': 'Widget',\n",
" 'Commodity units': 'each',\n",
" 'Commodity unpacked dimension': '12 x 12 x 12 inches',\n",
" 'Commodity packed dimension': '18 x 18 x 18 inches',\n",
" 'Commodity unit price': '$10.00',\n",
" 'Commodity total number of units': 100,\n",
" 'Commodity unit total value': '$1000.00',\n",
" 'Total Invoice value': '$10000.00',\n",
" 'Commodity HS Code': '8473.10.00',\n",
" 'Country of origin': 'China',\n",
" 'Date shipped': '2023-05-15',\n",
" 'Mode of Shipment': 'Air',\n",
" 'Terms of Payment': 'Net 30 days',\n",
" 'Payment due date': '2023-06-14',\n",
" 'Bank Account number': '1234567890'}\n",
"```\n",
"\n",
"If any of the data is invalid, the code will print an error message."
],
"metadata": {
"id": "c5HeRM9z7K4s"
}
}
],
"metadata": {
"colab": {
"provenance": [],
"include_colab_link": true
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
}
},
"nbformat": 4,
"nbformat_minor": 0
}