app.py

import gradio as gr
import math
import itertools
import ezdxf
import os
import groq

# Initialize Groq client
client = groq.Client(api_key=os.getenv("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"))

# Available Capacitor Units (kVAR)
available_capacitors = [25, 20, 15, 10, 5, 2.5, 1.5, 1]

# Prompt Groq for explanation (optional)
def ask_groq(prompt):
    try:
        response = client.chat.completions.create(
            model="llama3-8b-8192",
            messages=[{"role": "user", "content": prompt}]
        )
        return response.choices[0].message.content
    except Exception as e:
        return f"Groq Error: {str(e)}"

def calculate_power_parameters(voltage, current, power_factor):
    if voltage > 0 and current > 0:
        apparent_power = math.sqrt(3) * voltage * current
        real_power = apparent_power * power_factor / 1000
        try:
            reactive_power = math.sqrt((apparent_power / 1000) ** 2 - real_power ** 2)
        except ValueError:
            reactive_power = 0.0
        calculated_pf = real_power * 1000 / apparent_power if apparent_power > 0 else 0
        return {
            "apparent_power": round(apparent_power, 2),
            "real_power": round(real_power, 2),
            "reactive_power": round(reactive_power, 2),
            "calculated_pf": round(calculated_pf, 2)
        }
    else:
        return None

def design_capacitor_bank(reactive_power, num_caps):
    if reactive_power > 0 and num_caps > 0:
        best_combo = None
        min_error = float('inf')

        # Allow repetition only when needed
        combos = itertools.combinations_with_replacement(available_capacitors, num_caps)
        for combo in combos:
            if len(set(combo)) < len(combo) and len(set(combo)) != 1:
                continue
            total = sum(combo)
            error = abs(total - reactive_power)
            if error < min_error:
                min_error = error
                best_combo = combo
            if error == 0:
                break

        if best_combo:
            suggested_capacitors = [f"{cap} kVAR" for cap in best_combo]
            total_kvar = sum(best_combo)
            message = f"Total Compensation: {round(total_kvar, 2)} kVAR"
            return {
                "suggested_capacitors": suggested_capacitors,
                "total_kvar": round(total_kvar, 2),
                "message": message,
                "combo": best_combo
            }
        else:
            return {"message": "Could not find a suitable combination."}
    else:
        return None

def create_dxf_capacitor_bank(capacitors):
    doc = ezdxf.new()
    msp = doc.modelspace()
    x = 0
    for idx, cap in enumerate(capacitors):
        label = f"{cap} kVAR"
        msp.add_lwpolyline([(x, 0), (x+10, 0), (x+10, 10), (x, 10), (x, 0)])
        msp.add_text(label, dxfattribs={'height': 2.5}).set_pos((x, 12))
        x += 15
    output_path = "/mnt/data/capacitor_bank.dxf"
    doc.saveas(output_path)
    return output_path

def reactive_power_first(voltage, current, power_factor):
    power_results = calculate_power_parameters(voltage, current, power_factor)
    if power_results:
        apparent_power_out = f"Apparent Power: **{power_results['apparent_power']} VA**"
        real_power_out = f"Real Power: **{power_results['real_power']} kW**"
        reactive_power_out = f"Reactive Power: **{power_results['reactive_power']} kVAR**"
        calculated_pf_out = f"Calculated Power Factor: **{power_results['calculated_pf']}**"
        return (
            apparent_power_out,
            real_power_out,
            reactive_power_out,
            calculated_pf_out,
            power_results['reactive_power']
        )
    else:
        return ("⚠️ Please enter valid Voltage and Current!", "", "", "", 0)

def finalize_capacitor_bank(reactive_power, num_caps):
    cap_bank_design = design_capacitor_bank(reactive_power, num_caps)
    if cap_bank_design and cap_bank_design.get("suggested_capacitors"):
        suggested_capacitors_text = "<br>".join(
            [f"🔹 Capacitor {idx + 1}: **{cap}**" for idx, cap in enumerate(cap_bank_design['suggested_capacitors'])]
        )
        dxf_path = create_dxf_capacitor_bank(cap_bank_design["combo"])
        return suggested_capacitors_text, cap_bank_design['message'], dxf_path
    else:
        return "Could not find a suitable combination.", "", None

with gr.Blocks() as iface:
    gr.Markdown("# ⚡ Three-Phase Power Calculator - Reactive Power Compensation")
    gr.Markdown("""
    Step 1: Enter system parameters to calculate apparent and reactive power.<br>
    Step 2: Input number of capacitors to compute optimal configuration.<br>
    Step 3: Download AutoCAD (.dxf) layout.
    """)

    with gr.Row():
        voltage = gr.Number(label="Enter Voltage (V)", value=415)
        current = gr.Number(label="Enter Current (A)", value=250)
        power_factor = gr.Slider(label="Power Factor", minimum=0.0, maximum=1.0, value=0.85, step=0.01)
        frequency = gr.Radio(label="Select Frequency", choices=[50, 60], value=50)

    calc_btn = gr.Button("🔍 Calculate Power Parameters")

    apparent_power_out = gr.HTML()
    real_power_out = gr.HTML()
    reactive_power_out = gr.HTML()
    calculated_pf_out = gr.HTML()
    reactive_value = gr.Number(visible=False)

    calc_btn.click(
        fn=reactive_power_first,
        inputs=[voltage, current, power_factor],
        outputs=[
            apparent_power_out,
            real_power_out,
            reactive_power_out,
            calculated_pf_out,
            reactive_value
        ]
    )

    gr.Markdown("### ➕ Enter number of capacitors to compensate reactive power:")
    num_caps_input = gr.Number(label="Number of Capacitors", precision=0)
    finalize_btn = gr.Button("⚙️ Generate Capacitor Bank")

    capacitor_out = gr.HTML()
    total_comp_out = gr.HTML()
    dxf_file = gr.File(label="📥 Download AutoCAD File", visible=False)

    finalize_btn.click(
        fn=finalize_capacitor_bank,
        inputs=[reactive_value, num_caps_input],
        outputs=[capacitor_out, total_comp_out, dxf_file]
    )

if __name__ == "__main__":
    iface.launch()