Update app.py

app.py

@@ -11,10 +11,15 @@ client = gspread.authorize(creds)
 sheet_url = "https://docs.google.com/spreadsheets/d/1if4KoVQvw5ZbhknfdZbzMkcTiPfsD6bz9V3a1th-bwQ"
 
 # -------------------- UTILS --------------------
+def normalize_columns(df):
+    df.columns = df.columns.str.strip().str.title()  # e.g. “appointment date ” → “Appointment Date”
+    return df
+
 def load_sheet(sheet_name):
     try:
         sheet = client.open_by_url(sheet_url).worksheet(sheet_name)
         df = pd.DataFrame(sheet.get_all_records())
+        df = normalize_columns(df)
         return df
     except Exception as e:
         return pd.DataFrame([{"Error": str(e)}])
@@ -29,22 +34,22 @@ def filter_week(df, date_column, rep_column=None, rep=None):
     df[date_column] = pd.to_datetime(df[date_column], errors='coerce').dt.date
     start, end = get_current_week_range()
     filtered = df[(df[date_column] >= start) & (df[date_column] <= end)]
-    if rep and rep.strip():
+    if rep:
         filtered = filtered[filtered[rep_column] == rep]
     return filtered
 
 def filter_date(df, date_column, rep_column, y, m, d, rep):
     try:
-        date_str = str(datetime(int(y), int(m), int(d)).date())
+        target = datetime(int(y), int(m), int(d)).date()
     except:
         return pd.DataFrame([{"Error": "Invalid date input"}])
-    df[date_column] = pd.to_datetime(df[date_column], errors='coerce').dt.date.astype(str)
-    filtered = df[df[date_column] == date_str]
-    if rep and rep.strip():
-        filtered = filtered[df[rep_column] == rep]
+    df[date_column] = pd.to_datetime(df[date_column], errors='coerce').dt.date
+    filtered = df[df[date_column] == target]
+    if rep:
+        filtered = filtered[filtered[rep_column] == rep]
     return filtered
 
-# -------------------- FUNCTIONS --------------------
+# -------------------- REPORT FUNCTIONS --------------------
 def get_calls(rep=None):
     df = load_sheet("Calls")
     if "Call Date" not in df.columns:
@@ -69,11 +74,38 @@ def search_appointments_by_date(y, m, d, rep):
         return pd.DataFrame([{"Error": "Missing 'Appointment Date' column"}])
     return filter_date(df, "Appointment Date", "Rep", y, m, d, rep)
 
-def get_leads():
+def get_leads_detail():
     df = load_sheet("AllocatedLeads")
-    if "Assigned Rep " not in df.columns or "Company Name" not in df.columns:
+    # normalize expected names if necessary:
+    df = df.rename(columns={"Assigned Rep": "Assigned Rep", "Company Name": "Company Name"})
+    if "Assigned Rep" not in df.columns or "Company Name" not in df.columns:
         return pd.DataFrame([{"Error": "Missing 'Assigned Rep' or 'Company Name' column"}])
-    return df.groupby("Assigned Rep ")["Company Name"].apply(list).reset_index()
+    return df
+
+def get_leads_summary():
+    df = get_leads_detail()
+    if "Error" in df.columns:
+        return df
+    # count number of leads per rep
+    summary = df.groupby("Assigned Rep").size().reset_index(name="Leads Count")
+    return summary
+
+# -------------------- INSIGHTS (Top Performers) --------------------
+def compute_insights():
+    calls = get_calls()
+    appts = get_appointments()
+    leads = get_leads_detail()
+
+    top_calls = calls.groupby("Rep").size().idxmax() if not calls.empty else "N/A"
+    top_appts = appts.groupby("Rep").size().idxmax() if not appts.empty else "N/A"
+    top_leads = leads.groupby("Assigned Rep").size().idxmax() if "Assigned Rep" in leads.columns else "N/A"
+
+    insights = pd.DataFrame([
+        {"Metric": "Most Calls This Week",        "Rep": top_calls},
+        {"Metric": "Most Appointments This Week", "Rep": top_appts},
+        {"Metric": "Most Leads Allocated",        "Rep": top_leads},
+    ])
+    return insights
 
 # -------------------- DROPDOWN OPTIONS --------------------
 def rep_options(sheet_name, rep_col):
@@ -82,7 +114,7 @@ def rep_options(sheet_name, rep_col):
         return sorted(df[rep_col].dropna().unique().tolist())
     return []
 
-# -------------------- UI --------------------
+# -------------------- UI LAYOUT --------------------
 with gr.Blocks(title="Graffiti Admin Dashboard") as app:
     gr.Markdown("# 📆 Graffiti Admin Dashboard")
 
@@ -102,19 +134,42 @@ with gr.Blocks(title="Graffiti Admin Dashboard") as app:
     with gr.Tab("Appointments Report"):
         rep_appt = gr.Dropdown(label="Optional Rep Filter", choices=rep_options("Appointments", "Rep"), allow_custom_value=True)
         appt_btn = gr.Button("Load Current Week Appointments")
-        appt_table = gr.Dataframe()
-        appt_btn.click(fn=get_appointments, inputs=rep_appt, outputs=appt_table)
+        appt_summary = gr.Dataframe(label="📊 Weekly Appointments Summary by Rep")
+        appt_table   = gr.Dataframe()
+        appt_btn.click(
+            fn=lambda rep: (get_appointments(rep).groupby("Rep").size().reset_index(name="Count"), 
+                            get_appointments(rep)),
+            inputs=rep_appt,
+            outputs=[appt_summary, appt_table]
+        )
 
         gr.Markdown("### 🔍 Search Appointments by Specific Date")
         y2, m2, d2 = gr.Textbox(label="Year"), gr.Textbox(label="Month"), gr.Textbox(label="Day")
         rep2 = gr.Dropdown(label="Optional Rep Filter", choices=rep_options("Appointments", "Rep"), allow_custom_value=True)
         appt_date_btn = gr.Button("Search Appointments by Date")
-        appt_date_table = gr.Dataframe()
-        appt_date_btn.click(fn=search_appointments_by_date, inputs=[y2, m2, d2, rep2], outputs=appt_date_table)
+        appt_date_summary = gr.Dataframe(label="📊 Appointments Summary for Date by Rep")
+        appt_date_table   = gr.Dataframe()
+        appt_date_btn.click(
+            fn=lambda y,m,d,rep: (
+                search_appointments_by_date(y,m,d,rep).groupby("Rep").size().reset_index(name="Count"),
+                search_appointments_by_date(y,m,d,rep)
+            ),
+            inputs=[y2, m2, d2, rep2],
+            outputs=[appt_date_summary, appt_date_table]
+        )
 
     with gr.Tab("Appointed Leads"):
-        leads_btn = gr.Button("View Appointed Leads")
-        leads_table = gr.Dataframe()
-        leads_btn.click(fn=get_leads, outputs=leads_table)
-
-app.launch()
+        leads_btn    = gr.Button("View Appointed Leads")
+        leads_summary= gr.Dataframe(label="📊 Leads Count by Rep")
+        leads_detail = gr.Dataframe(label="🔎 Detailed Leads")
+        leads_btn.click(
+            fn=lambda: (get_leads_summary(), get_leads_detail()),
+            outputs=[leads_summary, leads_detail]
+        )
+
+    with gr.Tab("Insights"):
+        insights_btn = gr.Button("Generate Insights")
+        insights_tbl = gr.Dataframe()
+        insights_btn.click(fn=compute_insights, outputs=insights_tbl)
+
+app.launch()