update price matching

server/price_matching.py

@@ -2,7 +2,7 @@ import pandas as pd
 from shiny import reactive, render
 
 def server(input, output, session):
-    
+
     @reactive.calc
     def uploaded_data():
         file = input.csv_file()
@@ -11,12 +11,12 @@ def server(input, output, session):
         return pd.read_csv(file)
 
     @reactive.calc
+    @reactive.event(input.transform_btn)  # Run only on button press
     def etl_data():
         dat = uploaded_data()
         if dat is None:
             return None
 
-        # Apply filters
         dat = dat[~dat["Condition"].isin(["Unopened", "Unopened - Japanese"])]
 
         exclude = ["Digimon", "Dragon", "Lorcana", "Union", "WoW"]
@@ -25,7 +25,6 @@ def server(input, output, session):
 
         dat = dat[dat["Total Quantity"] > 0]
 
-        # Fix prices
         dat["TCG Marketplace Price"] = dat["TCG Market Price"]
         dat.loc[dat["TCG Marketplace Price"] < 0.25, "TCG Marketplace Price"] = 0.25
 
@@ -40,3 +39,11 @@ def server(input, output, session):
     @render.table
     def output_table():
         return etl_data()
+
+    @output
+    @render.download(filename="price_matched.csv")
+    def download_csv():
+        dat = etl_data()
+        if dat is None:
+            return ""
+        return dat.to_csv(index=False)

ui/price_matching.py

@@ -1,7 +1,10 @@
 from shiny import ui
 
-app_ui = ui.page_fluid(
+ui = ui.nav_panel(
+    "Price Matching",
     ui.h2("Upload CSV and Run ETL Pipeline"),
     ui.input_file("csv_file", "Upload CSV File", accept=".csv"),
+    ui.input_action_button("transform_btn", "Transform and Display"),
+    ui.download_button("download_csv", "Download Cleaned CSV"),
     ui.output_table("output_table")
 )