Qrp File Viewer (Authentic ✧)
Python-based QRP Viewer import struct import tkinter as tk from tkinter import ttk, filedialog, messagebox from tkinter.scrolledtext import ScrolledText import os from datetime import datetime import xml.etree.ElementTree as ET from reportlab.lib import colors from reportlab.lib.pagesizes import letter, A4 from reportlab.platypus import SimpleDocTemplate, Table, TableStyle, Paragraph, Spacer from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.units import inch class QRPViewer: def init (self, root): self.root = root self.root.title("QRP File Viewer & Report Generator") self.root.geometry("1200x800")
def extract_report_data(self, content): """Extract structured data from QRP content""" self.report_data = [] # Look for common patterns in QRP files lines = content.split('\n') # Try to find tabular data data_started = False headers = [] for line in lines: if '|' in line or '\t' in line: # Parse delimited data if '|' in line: parts = line.split('|') else: parts = line.split('\t') parts = [p.strip() for p in parts if p.strip()] if parts: if not headers and all(p.isalpha() or ' ' in p for p in parts): headers = parts else: if headers: row_data = dict(zip(headers[:len(parts)], parts)) self.report_data.append(row_data) else: self.report_data.append(f"Column_i": p for i, p in enumerate(parts)) if not self.report_data and lines: # If no structured data found, treat each line as a record for i, line in enumerate(lines[:100]): # Limit to first 100 lines if line.strip(): self.report_data.append(f"Line_i+1": line.strip()) qrp file viewer
if == " main ": main() Additional Utility Scripts QRP File Analyzer (analyzer.py): Python-based QRP Viewer import struct import tkinter as
