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Update app.py
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app.py
CHANGED
@@ -4,119 +4,109 @@ import gspread
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from gspread_dataframe import set_with_dataframe
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from oauth2client.service_account import ServiceAccountCredentials
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from datetime import datetime, timedelta
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# -------------------- CONFIG --------------------
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SHEET_URL = "https://docs.google.com/spreadsheets/d/1if4KoVQvw5ZbhknfdZbzMkcTiPfsD6bz9V3a1th-bwQ"
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CREDS_JSON = "deep-mile-461309-t8-0e90103411e0.json"
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# -------------------- AUTH --------------------
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scope = [
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"https://spreadsheets.google.com/feeds",
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"https://www.googleapis.com/auth/drive"
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]
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creds
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client = gspread.authorize(creds)
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#
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df.columns = df.columns.str.strip().str.title()
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return df
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# -------------------- DATE FILTERS --------------------
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def get_current_week_range():
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today = datetime.now()
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start = today - timedelta(days=today.weekday())
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end
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return start
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def
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try:
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target = datetime(int(y), int(m), int(d)).date()
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except:
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return pd.DataFrame([{"Error":"Invalid date"}])
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def get_calls(rep=None):
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df = load_sheet_df("Calls")
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return pd.DataFrame([{"Error":"Missing 'Call Date' column"}])
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return filter_week(df, "Call Date", "Rep", rep)
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def get_calls_summary(rep=None):
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df = get_calls(rep)
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if "Error" in df.columns or df.empty:
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return df
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return (
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df.groupby("Rep")
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.size()
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.reset_index(name="Count")
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.sort_values("Count", ascending=False)
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)
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def search_calls_by_date(y,m,d, rep):
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df = load_sheet_df("Calls")
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if "Call Date" not in df.columns:
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return pd.DataFrame([{"Error":"Missing 'Call Date' column"}])
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return filter_date(df, "Call Date", "Rep", y,m,d, rep)
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def get_appointments(rep=None):
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df = load_sheet_df("Appointments")
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return pd.DataFrame([{"Error":"Missing 'Appointment Date' column"}])
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return filter_week(df, "Appointment Date", "Rep", rep)
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def
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df =
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return df
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return (
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df.groupby("Rep")
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.size()
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.reset_index(name="Count")
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.sort_values("Count", ascending=False)
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)
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def
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df = load_sheet_df("Appointments")
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return pd.DataFrame([{"Error":"Missing 'Appointment Date' column"}])
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return filter_date(df, "Appointment Date", "Rep", y,m,d, rep)
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def get_leads_detail():
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df = load_sheet_df("AllocatedLeads")
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# rename if needed
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df = df.rename(columns={"Assigned Rep":"Assigned Rep"})
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if "Assigned Rep" not in df.columns:
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return pd.DataFrame([{"Error":"Missing 'Assigned Rep' col"}])
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return df
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def get_leads_summary():
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df = get_leads_detail()
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if "
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return
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return df.groupby("Assigned Rep").size().reset_index(name="Leads Count")
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# -------------------- INSIGHTS --------------------
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appts = get_appointments()
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leads = get_leads_detail()
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def
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if
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return "N/A"
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return counts.idxmax()
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top_calls = top_rep(calls, "Rep")
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top_appts = top_rep(appts, "Rep")
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# unify column name for leads
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leads = leads.rename(columns={"Assigned Rep":"Rep"})
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top_leads = top_rep(leads, "Rep")
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{"Metric":"Most Calls This Week", "Rep":
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{"Metric":"Most Appointments This Week", "Rep":
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{"Metric":"Most Leads Allocated", "Rep":
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]
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# -------------------- USER MANAGEMENT --------------------
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def load_users():
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df = load_sheet_df("
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#
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"Id","Email","Name","Business","Role",
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"Daily Phone Call Target","Daily Phone Appointment Target",
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"Daily Quote Number Target","Daily Quote Revenue Target",
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"Weekly Phone Call Target","Weekly Phone Appointment Target",
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"Weekly Quote Number Target","Weekly Quote Revenue Target",
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"Monthly Phone Call Target","Monthly Phone Appointment Target",
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"Monthly Quote Number Target","Monthly Quote Revenue Target",
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"Monthly Sales Revenue Target"
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]
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exist = [c for c in
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return df[exist]
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def save_users(df):
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ws = client.open_by_url(SHEET_URL).worksheet("
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ws.clear()
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set_with_dataframe(ws, df)
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return "✅ Users saved!"
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# --------------------
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with gr.Blocks(title="
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gr.Markdown("# 📆 Graffiti Admin Dashboard")
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#
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with gr.Tab("Calls Report"):
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)
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gr.Markdown("### 🔍 Search Calls by Specific Date")
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y1,m1,d1 = gr.Textbox(label="Year"), gr.Textbox(label="Month"), gr.Textbox(label="Day")
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rep1 = gr.Dropdown(
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label="Optional Rep Filter",
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choices=load_sheet_df("Calls")["Rep"].dropna().unique().tolist(),
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allow_custom_value=True
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)
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calls_date_btn = gr.Button("Search Calls by Date")
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calls_date_table = gr.Dataframe()
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calls_date_btn.click(
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fn=search_calls_by_date,
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inputs=[y1,m1,d1,rep1],
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outputs=calls_date_table
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)
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# ─── Appointments Report ─────────────────────
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with gr.Tab("Appointments Report"):
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)
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)
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)
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appt_date_btn = gr.Button("Search Appts by Date")
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appt_date_summary = gr.Dataframe(label="📊 Appts Summary by Rep")
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appt_date_table = gr.Dataframe()
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appt_date_btn.click(
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fn=lambda y,m,d,r: (
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(lambda df: df.groupby("Rep").size().reset_index(name="Count"))(search_appointments_by_date(y,m,d,r)),
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search_appointments_by_date(y,m,d,r)
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),
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inputs=[y2,m2,d2,rep2],
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outputs=[appt_date_summary, appt_date_table]
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)
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# ─── Appointed Leads ──────────────────────────
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with gr.Tab("Appointed Leads"):
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fn=lambda: (get_leads_summary(), get_leads_detail()),
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outputs=[leads_summary, leads_detail]
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)
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# ─── Insights ─────────────────────────────────
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with gr.Tab("Insights"):
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insights_btn.click(fn=compute_insights, outputs=insights_tbl)
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#
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with gr.Tab("User Management"):
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gr.Markdown("## 👤 Manage Users\nEdit
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users_tbl = gr.Dataframe(value=load_users(), interactive=True)
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save_btn
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save_btn.click(fn=save_users, inputs=users_tbl, outputs=status)
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app.launch()
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from gspread_dataframe import set_with_dataframe
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from oauth2client.service_account import ServiceAccountCredentials
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from datetime import datetime, timedelta
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from collections import Counter
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# -------------------- AUTH --------------------
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scope = [
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"https://spreadsheets.google.com/feeds",
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"https://www.googleapis.com/auth/drive"
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]
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creds = ServiceAccountCredentials.from_json_keyfile_name(
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"deep-mile-461309-t8-0e90103411e0.json", scope
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)
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client = gspread.authorize(creds)
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# YOUR SPREADSHEET URL
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SHEET_URL = "https://docs.google.com/spreadsheets/d/1if4KoVQvw5ZbhknfdZbzMkcTiPfsD6bz9V3a1th-bwQ"
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# -------------------- UTILS --------------------
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def normalize_columns(cols):
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return [c.strip().title() for c in cols]
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def load_sheet_df(name):
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"""
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Load a sheet into a DataFrame without confusing duplicates in
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the header row. We fetch all values, dedupe the first row,
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then build a DataFrame.
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"""
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ws = client.open_by_url(SHEET_URL).worksheet(name)
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data = ws.get_all_values()
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if not data:
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return pd.DataFrame()
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raw_header, *rows = data
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# make header unique
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counts = Counter()
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header = []
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for col in raw_header:
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counts[col] += 1
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if counts[col] > 1:
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header.append(f"{col}_{counts[col]}")
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else:
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header.append(col)
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header = normalize_columns(header)
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return pd.DataFrame(rows, columns=header)
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def get_current_week_range():
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today = datetime.now().date()
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start = today - timedelta(days=today.weekday())
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end = start + timedelta(days=6)
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return start, end
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def filter_by_week(df, date_col, rep=None):
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if date_col not in df.columns:
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return pd.DataFrame([{"Error": f"Missing '{date_col}' column"}])
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df = df.copy()
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df[date_col] = pd.to_datetime(df[date_col], errors="coerce").dt.date
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start, end = get_current_week_range()
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m = df[date_col].between(start, end)
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if rep:
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m &= df.get("Rep", pd.Series()).astype(str) == rep
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return df[m]
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def filter_by_date(df, date_col, y, m, d, rep=None):
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try:
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target = datetime(int(y), int(m), int(d)).date()
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except:
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return pd.DataFrame([{"Error": "Invalid date"}])
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if date_col not in df.columns:
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return pd.DataFrame([{"Error": f"Missing '{date_col}' column"}])
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df = df.copy()
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df[date_col] = pd.to_datetime(df[date_col], errors="coerce").dt.date
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m = df[date_col] == target
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if rep:
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m &= df.get("Rep", pd.Series()).astype(str) == rep
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return df[m]
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def rep_choices(sheet, col="Rep"):
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df = load_sheet_df(sheet)
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return sorted(df[col].dropna().unique().tolist()) if col in df else []
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# -------------------- REPORT FUNCTIONS --------------------
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def get_calls(rep=None):
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df = load_sheet_df("Calls")
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return filter_by_week(df, "Call Date", rep)
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def get_appointments(rep=None):
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df = load_sheet_df("Appointments")
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return filter_by_week(df, "Appointment Date", rep)
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def search_calls(y, m, d, rep=None):
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df = load_sheet_df("Calls")
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return filter_by_date(df, "Call Date", y, m, d, rep)
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def search_appointments(y, m, d, rep=None):
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df = load_sheet_df("Appointments")
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return filter_by_date(df, "Appointment Date", y, m, d, rep)
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# -------------------- LEADS --------------------
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def get_leads_detail():
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df = load_sheet_df("AllocatedLeads")
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return df
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def get_leads_summary():
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df = get_leads_detail()
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if "Assigned Rep" not in df:
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return pd.DataFrame([{"Error": "Missing 'Assigned Rep'"}])
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return df.groupby("Assigned Rep").size().reset_index(name="Leads Count")
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# -------------------- INSIGHTS --------------------
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appts = get_appointments()
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leads = get_leads_detail()
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def top(df, col="Rep"):
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if col in df and not df.empty:
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vc = df[col].value_counts()
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return vc.idxmax() if not vc.empty else "N/A"
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return "N/A"
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data = [
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{"Metric": "Most Calls This Week", "Rep": top(calls, "Rep")},
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{"Metric": "Most Appointments This Week", "Rep": top(appts, "Rep")},
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{"Metric": "Most Leads Allocated", "Rep": top(leads, "Assigned Rep")},
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]
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return pd.DataFrame(data)
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# -------------------- USER MANAGEMENT --------------------
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def load_users():
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df = load_sheet_df("User")
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# select & rename your columns as needed
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want = [
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"Id", "Email", "Name", "Business", "Role",
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"Daily Phone Call Target", "Daily Phone Appointment Target",
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"Daily Quote Number Target", "Daily Quote Revenue Target",
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"Weekly Phone Call Target", "Weekly Phone Appointment Target",
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"Weekly Quote Number Target", "Weekly Quote Revenue Target",
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"Monthly Phone Call Target", "Monthly Phone Appointment Target",
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"Monthly Quote Number Target", "Monthly Quote Revenue Target",
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"Monthly Sales Revenue Target"
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]
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exist = [c for c in want if c in df.columns]
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return df[exist]
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def save_users(df):
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ws = client.open_by_url(SHEET_URL).worksheet("User")
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ws.clear()
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set_with_dataframe(ws, df) # writes headers + data
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return "✅ Users saved!"
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# -------------------- UI LAYOUT --------------------
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with gr.Blocks(title="Graffiti Admin Dashboard") as app:
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gr.Markdown("# 📆 Graffiti Admin Dashboard")
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# -- Calls Tab --
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with gr.Tab("Calls Report"):
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rep_c = gr.Dropdown(choices=rep_choices("Calls"), label="Filter by Rep", allow_custom_value=True)
|
161 |
+
btn_c = gr.Button("Load This Week’s Calls")
|
162 |
+
tbl_c = gr.Dataframe()
|
163 |
+
btn_c.click(get_calls, rep_c, tbl_c)
|
164 |
+
|
165 |
+
gr.Markdown("### Search Calls by Date")
|
166 |
+
y1, m1, d1 = gr.Textbox(label="Year"), gr.Textbox(label="Month"), gr.Textbox(label="Day")
|
167 |
+
rep_c2 = gr.Dropdown(choices=rep_choices("Calls"), label="Filter by Rep", allow_custom_value=True)
|
168 |
+
btn_c2 = gr.Button("Search")
|
169 |
+
tbl_c2 = gr.Dataframe()
|
170 |
+
btn_c2.click(search_calls, [y1, m1, d1, rep_c2], tbl_c2)
|
171 |
+
|
172 |
+
# -- Appointments Tab --
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|
173 |
with gr.Tab("Appointments Report"):
|
174 |
+
rep_a = gr.Dropdown(choices=rep_choices("Appointments"), label="Filter by Rep", allow_custom_value=True)
|
175 |
+
btn_a = gr.Button("Load This Week’s Appts")
|
176 |
+
sum_a = gr.Dataframe(label="📊 Appts by Rep")
|
177 |
+
tbl_a = gr.Dataframe()
|
178 |
+
def _load_appts(r):
|
179 |
+
df = get_appointments(r)
|
180 |
+
return df.groupby("Rep").size().reset_index(name="Count"), df
|
181 |
+
btn_a.click(_load_appts, rep_a, [sum_a, tbl_a])
|
182 |
+
|
183 |
+
gr.Markdown("### Search Appts by Date")
|
184 |
+
y2, m2, d2 = gr.Textbox(label="Year"), gr.Textbox(label="Month"), gr.Textbox(label="Day")
|
185 |
+
rep_a2 = gr.Dropdown(choices=rep_choices("Appointments"), label="Filter by Rep", allow_custom_value=True)
|
186 |
+
btn_a2 = gr.Button("Search")
|
187 |
+
sum_a2 = gr.Dataframe(label="📊 Appts by Rep")
|
188 |
+
tbl_a2 = gr.Dataframe()
|
189 |
+
def _search_appts(y,m,d,r):
|
190 |
+
df = search_appointments(y,m,d,r)
|
191 |
+
return df.groupby("Rep").size().reset_index(name="Count"), df
|
192 |
+
btn_a2.click(_search_appts, [y2,m2,d2,rep_a2], [sum_a2, tbl_a2])
|
193 |
+
|
194 |
+
# -- Appointed Leads --
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|
195 |
with gr.Tab("Appointed Leads"):
|
196 |
+
btn_l = gr.Button("View Leads")
|
197 |
+
sum_l = gr.Dataframe(label="📊 Leads by Rep")
|
198 |
+
det_l = gr.Dataframe(label="🔎 Details")
|
199 |
+
btn_l.click(lambda: (get_leads_summary(), get_leads_detail()), None, [sum_l, det_l])
|
200 |
|
201 |
+
# -- Insights --
|
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|
202 |
with gr.Tab("Insights"):
|
203 |
+
btn_i = gr.Button("Generate Insights")
|
204 |
+
out_i = gr.Dataframe()
|
205 |
+
btn_i.click(compute_insights, None, out_i)
|
|
|
206 |
|
207 |
+
# -- User Management --
|
208 |
with gr.Tab("User Management"):
|
209 |
+
gr.Markdown("## 👤 Manage Users\nEdit the grid below then click **Save Users** to push back to the sheet.")
|
210 |
users_tbl = gr.Dataframe(value=load_users(), interactive=True)
|
211 |
+
save_btn = gr.Button("Save Users")
|
212 |
+
save_out = gr.Textbox()
|
213 |
+
save_btn.click(save_users, users_tbl, save_out)
|
|
|
214 |
|
215 |
+
app.launch()
|
|