parsing-project 0.1.1

Invoice parsing tool for daily sales register exports

🧾 Daily Sales Register Parser

This tool parses fixed-width daily sales register text files exported from ERP systems like Infor FACTS, extracting invoice data and converting it into structured JSON and CSV formats.

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📂 Folder Structure

parsing_project/
├── main.py                 # Entry point
├── parser.py              # Invoice and line item parsing logic
├── file_ops.py            # File reading, JSON/CSV output, file movement
├── utils.py               # Logging, formatting, validation
├── config.py              # Central config values
├── dailysalesreg/         # Input folder for .txt files
│   └── logged/            # Processed files moved here
├── json_output/
│   ├── by_date/YYYY-MM-DD/
│   ├── customers/CUSTOMER_CODE/
│   └── invoice_number.json
└── processed_files.log    # Hashes of processed files to prevent duplicates

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🚀 Getting Started

Requirements

• Python 3.7+
• No external packages required (uses standard library)

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▶️ Usage

Basic (Parse all .txt files in dailysalesreg/)

python main.py

Parse single file

python main.py dailysalesreg/05022025.txt

Filter by customer

python main.py --customer 1766

Filter by invoice date

python main.py --date 05/02/25

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⚙️ Options

Argument	Description
file	(optional) Path to a .txt file to parse
--customer	Only extract invoices for a customer code
--date	Only extract invoices for a date (format: MM/DD/YY)
--limit	Process only first N invoices (for testing)
--dry-run	Don’t save JSON/CSV or move files
--skip-move	Don’t move processed .txt file to logged/ folder
--skip-processed	Force reprocessing even if file was already handled
--verbose	Enable debug logging in console
--logfile name	Write logs to a specific file (default: process.log)

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📦 Output

• JSON files are saved per invoice.
• A summary CSV with totals and match-check is generated per run.
• Files are organized under json_output/ by:
  • Full runs → json_output/by_date/YYYY-MM-DD/
  • Customer runs → json_output/customers/1766/
  • Date runs → json_output/dates/YYYY-MM-DD/

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✅ Features

• Line item and header parsing
• Handles continued invoice pages
• Validates totals vs. calculated extensions
• Logs errors, skips bad lines, shows matches
• Supports CLI filtering, logging, testing
• Safe file handling and duplicate protection

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📌 Notes

• Invoice number must be 6 digits.
• Dates must be in MM/DD/YY format.
• Only .txt files placed in dailysalesreg/ will be picked up automatically.

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🛠 Example Development Command

python main.py --customer 100000 --verbose --dry-run --limit 5

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🧑‍💻 Author

Kyle Allen
Levocraft [Levocraft]

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