app.py

import gradio as gr
import os
import pandas as pd
from PIL import Image, ImageDraw

BASE_DIR = "data"
ASSETS_DIR = "assets"
STORE_MAP_FILE = os.path.join(ASSETS_DIR, "store_map_clinicplus.png")


# Approximate mapping from Aisle number to bounding box on the store map
AISLE_TO_BOX = {
    # Example: '14': (x, y, width, height) - you can later load this from config
    "14": (220, 150, 40, 120),
    "15": (270, 150, 40, 120),
    "16": (320, 150, 40, 120),
    # Add more as needed...
}


def get_subfolders(path):
    try:
        return sorted([f for f in os.listdir(path) if os.path.isdir(os.path.join(path, f))])
    except Exception as e:
        print(f"❌ Error reading subfolders from {path}: {e}")
        return []


def get_csv_files(path):
    try:
        return sorted([f[:-4] for f in os.listdir(path) if f.endswith(".csv")])
    except Exception as e:
        print(f"❌ Error reading CSVs from {path}: {e}")
        return []


def get_quantities_from_csv(path):
    try:
        df = pd.read_csv(path)
        if df.empty or "Quantity" not in df.columns:
            return gr.update(choices=[], visible=False), {}
        return gr.update(choices=df["Quantity"].dropna().tolist(), visible=True), df.to_dict()
    except Exception as e:
        print(f"❌ Error loading CSV: {e}")
        return gr.update(choices=[], visible=False), {}


def display_quantity_info(quantity, data_dict):
    try:
        df = pd.DataFrame(data_dict)
        row = df[df["Quantity"] == quantity].iloc[0]

        if str(row["In Stock"]).strip().lower() == "yes":
            msg = (
                f"✅ {quantity} is available!\n"
                f"• Floor: {row['Floor']}\n"
                f"• Aisle: {row['Aisle']}\n"
                f"• Price: ₹{row['Price']}"
            )
            if "Offer" in row and pd.notna(row["Offer"]) and row["Offer"].strip():
                msg += f"\n• 🎉 Offer: {row['Offer']}"
            return msg
        else:
            return f"❌ Sorry, {quantity} is currently not in stock."
    except Exception as e:
        return f"⚠️ Error: {e}"


def generate_map_with_highlight(quantity, data_dict):
    try:
        df = pd.DataFrame(data_dict)
        row = df[df["Quantity"] == quantity].iloc[0]
        aisle = str(row.get("Aisle", "")).strip()

        image = Image.open(STORE_MAP_FILE).convert("RGBA")
        draw = ImageDraw.Draw(image)

        if aisle in AISLE_TO_BOX:
            x, y, w, h = AISLE_TO_BOX[aisle]
            draw.rectangle([x, y, x + w, y + h], outline="red", width=5)

        return image
    except Exception as e:
        print(f"⚠️ Map render error: {e}")
        return Image.open(STORE_MAP_FILE)


def suggest_items(query):
    query = query.lower()
    if "gift" in query and "500" in query:
        return (
            "🎁 Gift Suggestions under ₹500:\n"
            "1. Bath & Body Gift Set - ₹499\n"
            "2. Mini Perfume Pack - ₹349\n"
            "3. Skin Care Hamper - ₹399\n"
            "4. Chocolates Gift Box - ₹299"
        )
    if "shampoo" in query and "dry" in query:
        return (
            "🧴 Shampoos for Dry Hair:\n"
            "1. Dove 500 ml - ₹325\n"
            "2. Clinic Plus 500 ml - ₹680"
        )
    return "🤷 Sorry, no smart suggestions found. Try asking: 'Gift items under 500' or 'Shampoo for dry hair'"


def reset_all():
    return (
        None,  # country - Dropdown
        None,  # state - Dropdown
        None,  # city - Dropdown
        None,  # store - Dropdown
        None,  # category - Dropdown
        None,  # product - Dropdown
        None,  # brand - Dropdown
        gr.update(choices=[], visible=False),  # quantity - Dropdown
        "",  # result - Textbox
        {},  # data_state - State (MUST be a raw dict or string, not gr.update)
        Image.open(STORE_MAP_FILE)  # store_map - Image (if using type="pil")
    )



with gr.Blocks(title="RetailGenie") as demo:
    gr.Markdown("# 🧞‍♂️ RetailGenie – In-Store Smart Assistant")

    with gr.Tabs():
        with gr.TabItem("🧭 Navigator"):
            with gr.Row():
                country = gr.Dropdown(label="🌍 Country", choices=get_subfolders(BASE_DIR), value=None)
                state = gr.Dropdown(label="🏙️ State", choices=[], interactive=False)
                city = gr.Dropdown(label="🏘️ City", choices=[], interactive=False)
                store = gr.Dropdown(label="🏪 Store", choices=[], interactive=False)
                category = gr.Dropdown(label="🛍️ Category", choices=[], interactive=False)
                product = gr.Dropdown(label="📦 Product", choices=[], interactive=False)
                brand = gr.Dropdown(label="🏷️ Brand", choices=[], interactive=False)
                quantity = gr.Dropdown(label="🔢 Quantity", visible=False)

            result = gr.Textbox(label="🔍 Product Info", lines=5)
            store_map = gr.Image(label="🗺️ Store Map", value=Image.open(STORE_MAP_FILE), type="pil")
            data_state = gr.State(value={}) 
            reset_btn = gr.Button("🔄 Reset All")

            country.change(lambda c: gr.update(choices=get_subfolders(os.path.join(BASE_DIR, c)) if c else [], value=None, interactive=True), inputs=country, outputs=state)
            state.change(lambda c, s: gr.update(choices=get_subfolders(os.path.join(BASE_DIR, c, s)) if c and s else [], value=None, interactive=True), inputs=[country, state], outputs=city)
            city.change(lambda c, s, ci: gr.update(choices=get_subfolders(os.path.join(BASE_DIR, c, s, ci)) if c and s and ci else [], value=None, interactive=True), inputs=[country, state, city], outputs=store)
            store.change(lambda c, s, ci, st: gr.update(choices=get_subfolders(os.path.join(BASE_DIR, c, s, ci, st)) if all([c, s, ci, st]) else [], value=None, interactive=True), inputs=[country, state, city, store], outputs=category)
            category.change(lambda c, s, ci, st, cat: gr.update(choices=get_subfolders(os.path.join(BASE_DIR, c, s, ci, st, cat)) if all([c, s, ci, st, cat]) else [], value=None, interactive=True), inputs=[country, state, city, store, category], outputs=product)
            product.change(lambda c, s, ci, st, cat, prod: gr.update(choices=get_csv_files(os.path.join(BASE_DIR, c, s, ci, st, cat, prod)) if all([c, s, ci, st, cat, prod]) else [], value=None, interactive=True), inputs=[country, state, city, store, category, product], outputs=brand)

            brand.change(lambda c, s, ci, st, cat, prod, b: get_quantities_from_csv(os.path.join(BASE_DIR, c, s, ci, st, cat, prod, f"{b}.csv")) if all([c, s, ci, st, cat, prod, b]) else (gr.update(choices=[], visible=False), {}), inputs=[country, state, city, store, category, product, brand], outputs=[quantity, data_state])

            quantity.change(display_quantity_info, inputs=[quantity, data_state], outputs=result)
            quantity.change(generate_map_with_highlight, inputs=[quantity, data_state], outputs=store_map)
            reset_btn.click(reset_all, inputs=[], outputs=[country, state, city, store, category, product, brand, quantity, result, data_state, store_map])

        with gr.TabItem("🎁 Smart Suggestions"):
            gr.Markdown("### 🤖 Ask RetailGenie for Recommendations")
            suggestion_input = gr.Textbox(label="Ask something like:", placeholder="Gift items under 500", lines=1)
            suggest_btn = gr.Button("💡 Get Suggestions")
            suggestions_output = gr.Textbox(label="📝 Suggestions", lines=10)

            suggest_btn.click(suggest_items, inputs=suggestion_input, outputs=suggestions_output)

demo.launch()