Turbnpro.zip • Secure & Confirmed

Based on the file extension .zip and the name turbnpro, this almost certainly refers to TurbnPRO, a specialized software used for selecting and analyzing hydraulic turbines (Kaplan, Francis, Pelton, etc.).

The most helpful feature to add to a tool like this—especially when dealing with compressed archives of project data—is a "Batch Report Extraction & Comparison" tool. turbnpro.zip

Here is a conceptual design for that feature, including a Python script prototype that you can use right now to implement it. Based on the file extension

Review: turbnpro.zip

Python Code (save as turbn_helper.py)

import zipfile
import os
import csv
import tkinter as tk
from tkinter import filedialog, messagebox
from datetime import datetime
class TurbnProHelper:
    def __init__(self, root):
        self.root = root
        self.root.title("TurbnPRO Smart Extractor")
        self.root.geometry("400x200")
# GUI Elements
        self.label = tk.Label(root, text="Select a turbnpro.zip archive to analyze:")
        self.label.pack(pady=10)
self.btn_browse = tk.Button(root, text="Browse .zip", command=self.process_zip)
        self.btn_browse.pack(pady=5)
self.status_label = tk.Label(root, text="", fg="blue")
        self.status_label.pack(pady=10)
def process_zip(self):
        file_path = filedialog.askopenfilename(filetypes=[("Zip files", "*.zip")])
        if not file_path:
            return
self.status_label.config(text="Processing...")
try:
            extract_path = os.path.dirname(file_path)
            summary_data = []
with zipfile.ZipFile(file_path, 'r') as z_ref:
                # Create a folder for extraction
                target_folder = os.path.join(extract_path, "TurbnPro_Analyzed")
                os.makedirs(target_folder, exist_ok=True)
z_ref.extractall(target_folder)
# Simulate parsing extracted files
                # Note: Real implementation requires knowledge of .tpro file format.
                # This loop simulates finding valid project files.
                for file in os.listdir(target_folder):
                    if file.endswith(".tpro") or file.endswith(".xml"): 
                        # PLACEHOLDER: In a real scenario, you would parse binary/xml data here.
                        # For this demo, we simulate finding metadata.
                        mock_data = 
                            "filename": file,
                            "type": "Francis", # Placeholder
                            "efficiency": "93.5%", # Placeholder
                            "status": "Analyzed"
summary_data.append(mock_data)
# Generate Report
            report_path = os.path.join(target_folder, "Comparison_Report.csv")
            with open(report_path, 'w', newline='') as f:
                writer = csv.DictWriter(f, fieldnames=["filename", "type", "efficiency", "status"])
                writer.writeheader()
                writer.writerows(summary_data)
self.status_label.config(text=f"Success! Extracted to:\ntarget_folder")
            messagebox.showinfo("Done", f"Extracted files and generated report.\n\nReport saved to:\nreport_path")
except Exception as e:
            messagebox.showerror("Error", str(e))
            self.status_label.config(text="Error occurred.")
if __name__ == "__main__":
    root = tk.Tk()
    app = TurbnProHelper(root)
    root.mainloop()

Feature Prototype: The turbn_comparator Script

If you are unable to modify the source code of TurbnPRO itself, the next best thing is a standalone utility script. This Python script simulates that feature by "unzipping" your TurbnPRO archive and generating a Comparison Summary. Feature Prototype: The turbn_comparator Script If you are

How it works: It treats the .zip as a container, scans for turbine project files, and creates a .csv summary so you can see which design version is optimal instantly.