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import pandas as pd | |
import gspread | |
import gradio as gr | |
from oauth2client.service_account import ServiceAccountCredentials | |
from datetime import datetime | |
# ------------------ 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") | |
# ------------------ HELPERS ------------------ | |
def load_tab(sheet_name): | |
return pd.DataFrame(sheet_file.worksheet(sheet_name).get_all_records()) | |
# ------------------ FIELD SALES ------------------ | |
def load_field_sales(): | |
df = load_tab("Field Sales") | |
df['Date'] = pd.to_datetime(df.get("Date", datetime.today()), errors='coerce') | |
df = df.dropna(subset=["Date"]) | |
df['DateStr'] = df['Date'].dt.date.astype(str) | |
df['Order Value'] = pd.to_numeric(df.get("Order Value", 0), errors='coerce').fillna(0) | |
return df | |
def generate_summary(date_str): | |
df = load_field_sales() | |
all_reps = sorted(df['Rep'].dropna().unique()) | |
day_df = df[df['DateStr'] == date_str] | |
total_visits = day_df.groupby("Rep").size().reset_index(name="Total Visits") | |
current = day_df[day_df["Current/Prospect Custor"] == "Current"] | |
prospect = day_df[day_df["Current/Prospect Custor"] == "Prospect"] | |
breakdown = pd.DataFrame({ | |
"Rep": all_reps, | |
"Current": [len(current[current["Rep"] == rep]) for rep in all_reps], | |
"Prospect": [len(prospect[prospect["Rep"] == rep]) for rep in all_reps] | |
}) | |
active_list = total_visits['Rep'].tolist() | |
inactive_list = [rep for rep in all_reps if rep not in active_list] | |
inactive_df = pd.DataFrame({'Inactive Reps': inactive_list}) | |
return total_visits, breakdown, inactive_df | |
def get_order_summary(date_str): | |
df = load_field_sales() | |
day_df = df[df['DateStr'] == date_str] | |
rep_group = day_df.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" | |
}) | |
return rep_group.sort_values(by="Total Order Value", ascending=False) | |
def get_escalations(): | |
df = load_field_sales() | |
flagged = df[df["Customer Type"].str.contains("Second", na=False)] | |
return flagged if not flagged.empty else pd.DataFrame([["No second-hand dealerships flagged."]], columns=["Status"]) | |
# ------------------ TELESALeS ------------------ | |
def get_telesales_summary(): | |
df = load_tab("TeleSales") | |
df["Date"] = pd.to_datetime(df.get("Date", datetime.today()), errors='coerce') | |
df["DateStr"] = df["Date"].dt.date.astype(str) | |
return df.groupby(["Rep Email", "DateStr"]).size().reset_index(name="Calls Made") | |
# ------------------ OEM VISITS ------------------ | |
def get_oem_summary(): | |
df = load_tab("OEM Visit") | |
df["Date"] = pd.to_datetime(df.get("Date", datetime.today()), errors='coerce') | |
df["DateStr"] = df["Date"].dt.date.astype(str) | |
return df.groupby(["Rep", "DateStr"]).size().reset_index(name="OEM Visits") | |
# ------------------ CUSTOMER REQUESTS ------------------ | |
def get_requests(): | |
return load_tab("Customer Requests") | |
# ------------------ CUSTOMER LISTINGS ------------------ | |
def get_listings(): | |
return load_tab("CustomerListings") | |
# ------------------ USERS ------------------ | |
def get_users(): | |
return load_tab("Users") | |
# ------------------ GRADIO APP ------------------ | |
with gr.Blocks() as app: | |
with gr.Row(): | |
with gr.Column(visible=True) as login_ui: | |
gr.Markdown("## π 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("## ποΈ CarMat Dashboard") | |
# preload dates for field sales | |
df_initial = load_field_sales() | |
unique_dates = sorted(df_initial["DateStr"].unique(), reverse=True) | |
# --- Summary Tab --- | |
with gr.Tab("π Summary"): | |
date_summary = gr.Dropdown(label="Select Date", choices=unique_dates) | |
visits = gr.Dataframe(label="β Total Visits") | |
breakdown = gr.Dataframe(label="π·οΈ Current vs. Prospect") | |
inactive = gr.Dataframe(label="β οΈ Inactive Reps") | |
date_summary.change(fn=generate_summary, inputs=date_summary, outputs=[visits, breakdown, inactive]) | |
# --- Orders Tab --- | |
with gr.Tab("π¦ Orders"): | |
order_date = gr.Dropdown(label="Select Date", choices=unique_dates) | |
order_table = gr.Dataframe(label="π° Orders Summary") | |
order_date.change(fn=get_order_summary, inputs=order_date, outputs=order_table) | |
# --- Escalations --- | |
with gr.Tab("π¨ Escalations"): | |
esc_table = gr.Dataframe(value=get_escalations, label="Second-hand Dealerships") | |
esc_btn = gr.Button("π Refresh") | |
esc_btn.click(fn=get_escalations, outputs=esc_table) | |
# --- TeleSales --- | |
with gr.Tab("π TeleSales"): | |
ts_table = gr.Dataframe(value=get_telesales_summary, label="TeleSales Summary") | |
ts_refresh = gr.Button("π Refresh TeleSales") | |
ts_refresh.click(fn=get_telesales_summary, outputs=ts_table) | |
# --- OEM Visits --- | |
with gr.Tab("π OEM Visits"): | |
oem_table = gr.Dataframe(value=get_oem_summary, label="OEM Visit Summary") | |
oem_refresh = gr.Button("π Refresh OEM") | |
oem_refresh.click(fn=get_oem_summary, outputs=oem_table) | |
# --- Requests --- | |
with gr.Tab("π¬ Customer Requests"): | |
req_table = gr.Dataframe(value=get_requests, label="Customer Requests", interactive=False) | |
req_refresh = gr.Button("π Refresh Requests") | |
req_refresh.click(fn=get_requests, outputs=req_table) | |
# --- Dealerships --- | |
with gr.Tab("π Dealership Directory"): | |
listings_table = gr.Dataframe(value=get_listings, label="Customer Listings") | |
listings_refresh = gr.Button("π Refresh Listings") | |
listings_refresh.click(fn=get_listings, outputs=listings_table) | |
# --- Users --- | |
with gr.Tab("π€ Users"): | |
users_table = gr.Dataframe(value=get_users, label="Users") | |
users_refresh = gr.Button("π Refresh Users") | |
users_refresh.click(fn=get_users, outputs=users_table) | |
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), "β Invalid login." | |
login_btn.click(fn=do_login, inputs=[email, password], outputs=[login_ui, main_ui, login_msg]) | |
app.launch() |