app.py

# app.py
import gradio as gr
import pandas as pd
import gspread
from oauth2client.service_account import ServiceAccountCredentials
from datetime import datetime, timedelta

# -------------------- AUTH --------------------
scope = ["https://spreadsheets.google.com/feeds", "https://www.googleapis.com/auth/drive"]
creds = ServiceAccountCredentials.from_json_keyfile_name("deep-mile-461309-t8-0e90103411e0.json", scope)
client = gspread.authorize(creds)
sheet_url = "https://docs.google.com/spreadsheets/d/1if4KoVQvw5ZbhknfdZbzMkcTiPfsD6bz9V3a1th-bwQ"

# -------------------- UTILS --------------------
def load_sheet(sheet_name):
    try:
        sheet = client.open_by_url(sheet_url).worksheet(sheet_name)
        df = pd.DataFrame(sheet.get_all_records())
        return df
    except Exception as e:
        return pd.DataFrame([{"Error": str(e)}])

def get_current_week_range():
    today = datetime.now()
    start = today - timedelta(days=today.weekday())
    end = start + timedelta(days=6)
    return start.date(), end.date()

def filter_current_week(df, date_column):
    df[date_column] = pd.to_datetime(df[date_column], errors='coerce').dt.date
    start_date, end_date = get_current_week_range()
    return df[(df[date_column] >= start_date) & (df[date_column] <= end_date)]

def compose_date(year, month, day):
    try:
        return str(datetime(int(year), int(month), int(day)).date())
    except:
        return None

# -------------------- FUNCTIONS --------------------
def current_week_calls():
    df = load_sheet("Calls")
    if "Date" not in df.columns:
        return pd.DataFrame([{"Error": "Missing 'Date' column"}])
    return filter_current_week(df, "Date")

def current_week_appointments():
    df = load_sheet("Appointments")
    if "Date" not in df.columns:
        return pd.DataFrame([{"Error": "Missing 'Date' column"}])
    return filter_current_week(df, "Date")

def appointed_leads():
    df = load_sheet("Appointed Leads")
    if "Rep" not in df.columns or "Customer Name" not in df.columns:
        return pd.DataFrame([{"Error": "Missing 'Rep' or 'Customer Name' column"}])
    grouped = df.groupby("Rep")["Customer Name"].apply(list).reset_index()
    return grouped

def custom_date_calls(y, m, d):
    date_str = compose_date(y, m, d)
    if not date_str:
        return pd.DataFrame([{"Error": "Invalid date input"}])
    df = load_sheet("Calls")
    df['Date'] = pd.to_datetime(df['Date'], errors='coerce').dt.date.astype(str)
    return df[df['Date'] == date_str]

def custom_date_appointments(y, m, d):
    date_str = compose_date(y, m, d)
    if not date_str:
        return pd.DataFrame([{"Error": "Invalid date input"}])
    df = load_sheet("Appointments")
    df['Date'] = pd.to_datetime(df['Date'], errors='coerce').dt.date.astype(str)
    return df[df['Date'] == date_str]

# -------------------- UI --------------------
with gr.Blocks(title="Graffiti Admin Dashboard") as app:
    gr.Markdown("## 📅 Graffiti Admin Dashboard")

    with gr.Tab("Calls Report"):
        calls_btn = gr.Button("Load Current Week Calls")
        calls_table = gr.Dataframe()
        calls_btn.click(fn=current_week_calls, outputs=calls_table)

        gr.Markdown("### 🔎 Check by Specific Date (YYYY-MM-DD via dropdowns)")
        y, m, d = gr.Textbox(label="Year"), gr.Textbox(label="Month"), gr.Textbox(label="Day")
        date_calls_btn = gr.Button("Search Calls by Date")
        date_calls_table = gr.Dataframe()
        date_calls_btn.click(fn=custom_date_calls, inputs=[y, m, d], outputs=date_calls_table)

    with gr.Tab("Appointments Report"):
        appt_btn = gr.Button("Load Current Week Appointments")
        appt_table = gr.Dataframe()
        appt_btn.click(fn=current_week_appointments, outputs=appt_table)

        gr.Markdown("### 🔎 Check by Specific Date")
        ay, am, ad = gr.Textbox(label="Year"), gr.Textbox(label="Month"), gr.Textbox(label="Day")
        date_appt_btn = gr.Button("Search Appointments by Date")
        date_appt_table = gr.Dataframe()
        date_appt_btn.click(fn=custom_date_appointments, inputs=[ay, am, ad], outputs=date_appt_table)

    with gr.Tab("Appointed Leads"):
        leads_btn = gr.Button("View Appointed Leads")
        leads_table = gr.Dataframe()
        leads_btn.click(fn=appointed_leads, outputs=leads_table)

app.launch(share=True)