Create APP.py

APP.py

@@ -0,0 +1,319 @@
+import gradio as gr
+import pandas as pd
+import openpyxl
+import os
+
+# -------------------------
+# GLOBAL VARIABLES
+# -------------------------
+merged_data = pd.DataFrame()
+total_ads_cost = 0.0
+
+
+# ============================================================
+# STEP 1 — USER UPLOADS EXCEL FILES → GENERATE SHEET2
+# ============================================================
+def step1_generate_sheet2(files):
+    global merged_data, total_ads_cost
+
+    if not files:
+        return None, "❌ Please upload at least one Excel file."
+
+    merged_data = pd.DataFrame()
+    total_ads_cost = 0.0
+
+    for f in files:
+        try:
+            # Gradio 6.x gives file path directly
+            filepath = str(f)
+
+            df = pd.read_excel(
+                filepath,
+                sheet_name="Order Payments",
+                header=1,
+                skiprows=[2]
+            )
+
+            df["Source_File"] = os.path.basename(filepath)
+
+            merged_data = pd.concat(
+                [merged_data, df],
+                ignore_index=True
+            )
+
+            # -------------------------
+            # Ads Cost (3rd Sheet)
+            # -------------------------
+            ads_df = pd.read_excel(
+                filepath,
+                sheet_name=2,
+                skiprows=2
+            )
+
+            ads_total = pd.to_numeric(
+                ads_df.iloc[:, 7],
+                errors="coerce"
+            ).sum()
+
+            total_ads_cost += ads_total
+
+        except Exception as e:
+            print(f"Skipping {filepath}: {e}")
+
+    # -------------------------
+    # Filter Required Statuses
+    # -------------------------
+    status_keep = [
+        "Delivered",
+        "Return",
+        "Exchange",
+        "Shipped"
+    ]
+
+    merged_data = merged_data[
+        merged_data["Live Order Status"].isin(status_keep)
+    ]
+
+    merged_data = merged_data.sort_values(
+        by="Supplier SKU"
+    )
+
+    # -------------------------
+    # Create Sheet2
+    # -------------------------
+    sheet2 = pd.DataFrame()
+
+    sheet2["Supplier SKU"] = (
+        merged_data["Supplier SKU"]
+        .dropna()
+        .unique()
+    )
+
+    sheet2["Cost"] = ""
+    sheet2["Final Settlement Amount"] = ""
+    sheet2["Final Purchase"] = ""
+    sheet2["Total Sale"] = ""
+
+    filename = "Sheet2_Fill_Cost.xlsx"
+
+    sheet2.to_excel(
+        filename,
+        index=False
+    )
+
+    return (
+        filename,
+        "✅ Sheet2 created! Download and fill COST column."
+    )
+
+
+# ============================================================
+# STEP 2 — USER UPLOADS FILLED SHEET2 → FINAL REPORT
+# ============================================================
+def step2_generate_final(sheet2_file):
+    global merged_data, total_ads_cost
+
+    if merged_data.empty:
+        return None, "❌ You must complete Step 1 first."
+
+    if sheet2_file is None:
+        return None, "❌ Upload the filled Sheet2 Excel file."
+
+    filepath = str(sheet2_file)
+
+    sheet2_filled = pd.read_excel(filepath)
+
+    # -------------------------
+    # Merge Cost
+    # -------------------------
+    final_sheet1 = merged_data.merge(
+        sheet2_filled[
+            ["Supplier SKU", "Cost"]
+        ],
+        on="Supplier SKU",
+        how="left"
+    )
+
+    final_sheet1["Cost"] = pd.to_numeric(
+        final_sheet1["Cost"],
+        errors="coerce"
+    ).fillna(0)
+
+    final_sheet1["Quantity"] = pd.to_numeric(
+        final_sheet1["Quantity"],
+        errors="coerce"
+    ).fillna(0)
+
+    # Purchase
+    final_sheet1["Purchase"] = (
+        final_sheet1["Cost"]
+        * final_sheet1["Quantity"]
+    )
+
+    # -------------------------
+    # Summary Sheet
+    # -------------------------
+    sheet2_final = (
+        final_sheet1.groupby("Supplier SKU")
+        .agg({
+            "Final Settlement Amount": "sum",
+            "Purchase": "sum"
+        })
+        .reset_index()
+    )
+
+    sheet2_final["Total Sale"] = (
+        sheet2_final["Final Settlement Amount"]
+        - sheet2_final["Purchase"]
+    )
+
+    sheet2_final = sheet2_final.sort_values(
+        by="Total Sale"
+    )
+
+    # -------------------------
+    # Ads Cost
+    # -------------------------
+    sheet2_final["Ads Cost"] = 0.0
+
+    if not sheet2_final.empty:
+        sheet2_final.loc[
+            sheet2_final.index[0],
+            "Ads Cost"
+        ] = round(total_ads_cost, 2)
+
+    # Rename Columns
+    sheet2_final.columns = [
+        "Supplier SKU",
+        "Final Settlement Amount",
+        "Final Purchase",
+        "Total Sale",
+        "Ads Cost"
+    ]
+
+    sheet2_final.insert(
+        1,
+        "Cost",
+        sheet2_filled["Cost"]
+    )
+
+    # -------------------------
+    # Save Output
+    # -------------------------
+    output_file = "Final_Meesho_Report.xlsx"
+
+    with pd.ExcelWriter(output_file) as writer:
+        final_sheet1.to_excel(
+            writer,
+            sheet_name="Sheet1",
+            index=False
+        )
+
+        sheet2_final.to_excel(
+            writer,
+            sheet_name="Sheet2",
+            index=False
+        )
+
+    # -------------------------
+    # Excel Formula
+    # -------------------------
+    wb = openpyxl.load_workbook(output_file)
+
+    ws = wb["Sheet1"]
+
+    ws["M1"] = "Purchase"
+
+    last_row = ws.max_row
+
+    for row in range(2, last_row + 1):
+        ws[f"M{row}"] = (
+            f'=VLOOKUP(E{row},Sheet2!$A:$B,2,FALSE)*I{row}'
+        )
+
+    wb.save(output_file)
+
+    return (
+        output_file,
+        "🎉 Final Profit Report generated successfully!"
+    )
+
+
+# ============================================================
+# UI
+# ============================================================
+with gr.Blocks(title="MeeProfit Analyzer") as app:
+
+    gr.Markdown(
+        "# 📊 MeeProfit Analyzer\n"
+        "Smart Excel Profit Automation for Meesho Sellers"
+    )
+
+    # STEP 1
+    with gr.Tab("✨ Step 1 — Create Cost Sheet"):
+
+        gr.Markdown(
+            """
+Upload Meesho Order Payments files.
+
+Download generated Sheet2 and fill Cost column.
+            """
+        )
+
+        files_step1 = gr.File(
+            file_count="multiple",
+            label="📂 Upload Excel Files"
+        )
+
+        btn1 = gr.Button(
+            "🚀 Generate Sheet2"
+        )
+
+        sheet2_download = gr.File(
+            label="⬇️ Download Sheet2"
+        )
+
+        msg1 = gr.Markdown()
+
+        btn1.click(
+            step1_generate_sheet2,
+            inputs=files_step1,
+            outputs=[
+                sheet2_download,
+                msg1
+            ]
+        )
+
+    # STEP 2
+    with gr.Tab("📘 Step 2 — Generate Final Report"):
+
+        gr.Markdown(
+            """
+Upload filled Sheet2 file.
+            """
+        )
+
+        file_step2 = gr.File(
+            label="📂 Upload Filled Sheet2"
+        )
+
+        btn2 = gr.Button(
+            "📊 Generate Final Report"
+        )
+
+        final_download = gr.File(
+            label="⬇️ Download Final Report"
+        )
+
+        msg2 = gr.Markdown()
+
+        btn2.click(
+            step2_generate_final,
+            inputs=file_step2,
+            outputs=[
+                final_download,
+                msg2
+            ]
+        )
+
+app.launch()