app.py

import pandas as pd
import gspread
import gradio as gr
from oauth2client.service_account import ServiceAccountCredentials
from datetime import datetime
import time

# ------------------ AUTH ------------------
VALID_USERS = {
    "[email protected]": "Pass.123",
    "[email protected]": "Pass.123",
    "[email protected]": "Pass.123"
}

# ------------------ GOOGLE SHEET SETUP ------------------
scope = ["https://spreadsheets.google.com/feeds", "https://www.googleapis.com/auth/drive"]
creds = ServiceAccountCredentials.from_json_keyfile_name("credentials.json", scope)
client = gspread.authorize(creds)
sheet_file = client.open("userAccess")

# ------------------ RETRY LOGIC ------------------
def load_tab(sheet_name, retries=3, delay=5):
    for attempt in range(retries):
        try:
            df = pd.DataFrame(sheet_file.worksheet(sheet_name).get_all_records())
            return df
        except gspread.exceptions.APIError as e:
            if attempt < retries - 1:
                time.sleep(delay)
            else:
                return pd.DataFrame([[f"⚠️ API Error: {str(e)}"]], columns=["Error"])

# ------------------ HELPERS ------------------
def get_combined_orders(date_str):
    df_field = load_tab("Field Sales")
    df_ts = load_tab("TeleSales")

    combined = []

    if not df_field.empty:
        df_field['Date'] = pd.to_datetime(df_field['Date'], errors='coerce')
        df_field['DateStr'] = df_field['Date'].dt.date.astype(str)
        df_field = df_field[df_field['DateStr'] == date_str.strip()]
        df_field['Order Value'] = pd.to_numeric(df_field['Order Value'], errors='coerce').fillna(0)
        df_field_orders = df_field.groupby("Rep").agg({
            "Order Received": lambda x: (x == "Yes").sum(),
            "Order Value": "sum"
        }).reset_index().rename(columns={
            "Order Received": "Orders Received",
            "Order Value": "Total Order Value"
        })
        df_field_orders["Source"] = "Field Sales"
        combined.append(df_field_orders)

    if not df_ts.empty:
        df_ts['Date'] = pd.to_datetime(df_ts['Date'], errors='coerce')
        df_ts['DateStr'] = df_ts['Date'].dt.date.astype(str)
        df_ts = df_ts[df_ts['DateStr'] == date_str.strip()]
        df_ts['Order Value'] = pd.to_numeric(df_ts['Order Value'], errors='coerce').fillna(0)
        df_ts_orders = df_ts.groupby("Rep").agg({
            "Order Received": lambda x: (x == "Yes").sum(),
            "Order Value": "sum"
        }).reset_index().rename(columns={
            "Order Received": "Orders Received",
            "Order Value": "Total Order Value"
        })
        df_ts_orders["Source"] = "TeleSales"
        combined.append(df_ts_orders)

    if combined:
        return pd.concat(combined, ignore_index=True)
    else:
        return pd.DataFrame([["No orders on this date"]], columns=["Message"])

# Define other helper functions similarly using load_tab...

# ------------------ GRADIO APP ------------------
with gr.Blocks() as app:
    with gr.Row():
        with gr.Column(visible=True) as login_ui:
            gr.Markdown("## 🔐 Login Required")
            email = gr.Textbox(label="Email")
            password = gr.Textbox(label="Password", type="password")
            login_btn = gr.Button("Login")
            login_msg = gr.Markdown("")

        with gr.Column(visible=False) as main_ui:
            gr.Markdown("## 🗂️ CarMat Dashboard")

            df_initial = load_tab("Field Sales")
            unique_dates = sorted(df_initial["Date"].astype(str).unique(), reverse=True) if not df_initial.empty else []

            # --- Tabs ---
            with gr.Tab("📊 Summary"):
                gr.Markdown("Summary content coming soon...")

            with gr.Tab("📂 Field Sales"):
                field_df = gr.Dataframe(value=load_tab("Field Sales"), label="📂 Field Sales Records", interactive=False)
                gr.Button("🔄 Refresh").click(fn=lambda: load_tab("Field Sales"), outputs=field_df)

            with gr.Tab("📞 TeleSales"):
                ts_table = gr.Dataframe(value=load_tab("TeleSales"), label="📞 TeleSales Summary")
                gr.Button("🔄 Refresh").click(fn=lambda: load_tab("TeleSales"), outputs=ts_table)

            with gr.Tab("📦 Orders Summary"):
                order_date = gr.Dropdown(label="Select Date", choices=unique_dates, interactive=True)
                order_table = gr.Dataframe(label="🧾 Combined Order Summary")
                order_date.change(fn=get_combined_orders, inputs=order_date, outputs=order_table)

            # Continue similarly for other tabs...

    def do_login(user, pw):
        if VALID_USERS.get(user) == pw:
            return gr.update(visible=False), gr.update(visible=True), ""
        else:
            return gr.update(visible=True), gr.update(visible=False), "❌ Invalid login."

    login_btn.click(fn=do_login, inputs=[email, password], outputs=[login_ui, main_ui, login_msg])

app.launch()