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# Dynamic installation safety net
def install_package(package):
try:
__import__(package.replace('2', '')) # Check for 'fpdf' namespace
except ImportError:
subprocess.check_call([sys.executable, "-m", "pip", "install", package])
install_package("fpdf2")
# Now safe to import
from fpdf import FPDF
import gradio as gr
import pandas as pd
import datetime
# --- 2026 DYNAMIC MARKET DATA ---
MARKET_DATA = {
"panel_pkr_w": 32,
"sun_hrs": 5.2,
"bank_rate": 0.14, # Simulated Alfalah Rate
"installation": 0.15
}
def generate_pdf(data):
pdf = FPDF()
pdf.add_page()
pdf.set_font("Helvetica", 'B', 16)
pdf.cell(0, 10, "Solar Feasibility Report - Pakistan 2026", center=True, new_x="LMARGIN", new_y="NEXT")
pdf.set_font("Helvetica", size=12)
pdf.ln(10)
for key, value in data.items():
pdf.cell(0, 10, f"{key}: {value}", new_x="LMARGIN", new_y="NEXT")
report_path = "Solar_Insights_Report.pdf"
pdf.output(report_path)
return report_path
def solar_calculator(ac_count, fan_count, light_count, sys_type):
# Engineering Math
load = (ac_count * 1500) + (fan_count * 80) + (light_count * 12)
daily_units = (load * 8) / 1000
sys_kw = round((daily_units / MARKET_DATA["sun_hrs"]) * 1.2, 2)
# Financials
cost = int((sys_kw * 1000 * MARKET_DATA["panel_pkr_w"] + 250000) * (1 + MARKET_DATA["installation"]))
# Bank EMI Calculation (P * r * (1+r)^n / ((1+r)^n - 1))
p = cost * 0.7 # 30% Downpayment
r = MARKET_DATA["bank_rate"] / 12
n = 60
emi = int(p * (r * (1+r)**n) / ((1+r)**n - 1))
results = {
"Total Load (W)": load,
"System Size (kW)": sys_kw,
"Total Cost (PKR)": f"{cost:,}",
"Monthly EMI (PKR)": f"{emi:,}",
"Date Generated": datetime.datetime.now().strftime("%Y-%m-%d")
}
pdf_file = generate_pdf(results)
summary = f"""
## ๐Ÿ“Š Estimation Results
- **Recommended System:** {sys_kw} kW {sys_type}
- **Estimated Investment:** PKR {cost:,}
- **Financing:** PKR {emi:,}/month via Bank Alfalah
"""
return summary, pdf_file
# --- UI DESIGN ---
with gr.Blocks(title="Solar PK Pro") as demo:
gr.Markdown("# โ˜€๏ธ SolarExpert Pakistan 2.0")
with gr.Row():
with gr.Column():
ac = gr.Number(label="Inverter ACs (1.5 Ton)", value=1)
fans = gr.Number(label="Ceiling Fans", value=4)
lights = gr.Number(label="LED Lights", value=10)
stype = gr.Dropdown(["On-Grid", "Hybrid"], label="System Architecture", value="Hybrid")
calc_btn = gr.Button("Calculate & Generate Report", variant="primary")
with gr.Column():
out_md = gr.Markdown()
out_file = gr.File(label="Download PDF Insights")
calc_btn.click(solar_calculator, inputs=[ac, fans, lights, stype], outputs=[out_md, out_file])
demo.launch()