Update src/streamlit_app.py

src/streamlit_app.py

@@ -4,7 +4,6 @@ import pandas as pd
 import gspread
 from oauth2client.service_account import ServiceAccountCredentials
 import traceback
-import json
 import io
 
 # Google Sheets configuration
@@ -69,7 +68,7 @@ HEADERS = {
     "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/137.0.0.0 Safari/537.36"
 }
 
-# Excel data as a string (from provided DOCUMENT)
+# Excel data (same as provided earlier)
 EXCEL_DATA = """id	name	short_name	jersey_no	position_id	position	is_substitute	is_substituted	isPlaying	minutes_played	jersey	starter	captain	is_Injured	offloads	line_breaks	defenders_beaten	points	try_assists	tries	tackles	turnovers_won	yellow_cards	red_cards	handling_errors	knock_ons	conversions	penalty_goals	points_scored	tries_scored	conversions	penalty_goals
 165	Pol Pla	Pol Pla	7	4	Back	0	0	0	18	7	1	1	0	0	0	0	0	1	0	3	0	0	0	0	0	0	0	0	0	0	0
 191	Tone Ng Shiu	Tone Ng Shiu	3	3	Hybrid	0	0	0	12	3	1	0	0	1	0	2	0	1	0	0	0	0	0	0	0	0	0	0	0	0	0
@@ -103,13 +102,15 @@ def load_excel_data():
     try:
         # Read Excel data from string
         df = pd.read_csv(io.StringIO(EXCEL_DATA), sep='\t')
-        # Select required columns
-        columns = ['id', 'name', 'short_name', 'jersey_no', 'position', 'is_substitute', 'is_substituted', 
-                   'isPlaying', 'minutes_played', 'starter', 'captain', 'is_Injured', 'offloads', 
-                   'line_breaks', 'defenders_beaten', 'points', 'try_assists', 'tries', 'tackles', 
-                   'turnovers_won', 'yellow_cards', 'red_cards', 'handling_errors', 'knock_ons', 
-                   'conversions', 'penalty_goals', 'points_scored', 'tries_scored', 'conversions', 
-                   'penalty_goals']
+        # Select requested columns (excluding duplicate 'conversions')
+        columns = [
+            'id', 'name', 'short_name', 'jersey_no', 'position_id', 'position', 
+            'is_substitute', 'is_substituted', 'isPlaying', 'minutes_played', 
+            'jersey', 'starter', 'captain', 'offloads', 'line_breaks', 
+            'defenders_beaten', 'points', 'try_assists', 'tries', 'tackles', 
+            'turnovers_won', 'yellow_cards', 'red_cards', 'handling_errors', 
+            'conversions', 'penalty_goals', 'points_scored', 'tries_scored'
+        ]
         df = df[columns]
         st.session_state["excel_data"] = df
         return df
@@ -149,9 +150,8 @@ def write_to_google_sheet(data):
             st.write("Debug: Clearing existing data")
             sheet.clear()
 
-            # Write data (pandas DataFrame)
+            # Write data
             st.write("Debug: Writing Excel data")
-            # Convert DataFrame to list of lists (including headers)
             data_values = [data.columns.tolist()] + data.values.tolist()
             sheet.update('A1', data_values)
 
@@ -164,7 +164,7 @@ def write_to_google_sheet(data):
 
 def main():
     st.title("Rugby Premier League Data Fetcher")
-    st.write("Processing data for match ID 43 (Bengaluru Bravehearts vs. Delhi Redz) at 05:17 PM IST, June 23, 2025")
+    st.write("Processing data for match ID 43 (Bengaluru Bravehearts vs. Delhi Redz) at 05:24 PM IST, June 23, 2025")
 
     # Load Excel data
     st.subheader("Excel Data (Squad)")