Update src/streamlit_app.py

src/streamlit_app.py

@@ -2,6 +2,7 @@ import streamlit as st
 import requests
 import pandas as pd
 import io
+import time
 
 # Function to fetch WNBA player game log data
 @st.cache_data
@@ -47,13 +48,25 @@ def fetch_wnba_data():
         "sec-fetch-site": "same-origin"
     }
 
-    response = requests.get(url, params=params, headers=headers)
-    if response.status_code == 200:
+    try:
+        st.write("Sending API request...")
+        response = requests.get(url, params=params, headers=headers, timeout=10)
+        response.raise_for_status()  # Raises an error for non-200 status codes
+        st.write("API request successful. Processing data...")
         data = response.json()
         game_logs = data.get("resultSets", [])[0].get("rowSet", [])
+        if not game_logs:
+            st.warning("No game logs found in the response.")
+            return []
         return game_logs
-    else:
-        st.error(f"Failed to fetch data. Status code: {response.status_code}")
+    except requests.Timeout:
+        st.error("Request timed out after 10 seconds. Try again later or check your network.")
+        return []
+    except requests.HTTPError as e:
+        st.error(f"HTTP error occurred: {e}. Check API headers or rate limits.")
+        return []
+    except requests.RequestException as e:
+        st.error(f"Failed to fetch data: {e}")
         return []
 
 # Function to convert game logs to a DataFrame
@@ -66,7 +79,7 @@ def create_dataframe(game_logs):
         "Double_Double", "Triple_Double", "MIN_Rank", "FGM_Rank", "FGA_Rank", "FG_PCT_Rank",
         "FG3M_Rank", "FG3A_Rank", "FG3_PCT_Rank", "FTM_Rank", "FTA_Rank", "FT_PCT_Rank",
         "OREB_Rank", "DREB_Rank", "REB_Rank", "AST_Rank", "STL_Rank", "BLK_Rank",
-        "TO_Rank", "PF_Rank", "PTS_Rank", "PLUS_MINUS_Rank", "Fantasy_Points_Rank",
+        "TO_Rank", "PF_Rank", "PTS_Rank", "PLUS_MINUS_Rank", "Fantasy_Score_Rank",
         "Double_Double_Rank", "Triple_Double_Rank", "Minutes_Formatted"
     ]
     return pd.DataFrame(game_logs, columns=columns)
@@ -80,13 +93,18 @@ def convert_to_csv(df):
 # Streamlit app
 st.title("WNBA 2025 Player Game Logs")
 
-# Fetch data
+# Fetch data with progress feedback
 with st.spinner("Fetching WNBA player game log data..."):
+    start_time = time.time()
     game_logs = fetch_wnba_data()
+    fetch_time = time.time() - start_time
+    if game_logs:
+        st.success(f"Data fetched successfully in {fetch_time:.2f} seconds!")
 
 if game_logs:
     # Create DataFrame
-    df = create_dataframe(game_logs)
+    with st.spinner("Converting data to DataFrame..."):
+        df = create_dataframe(game_logs)
 
     # Display total number of records
     st.write(f"Total records fetched: {len(df)}")
@@ -127,7 +145,7 @@ if game_logs:
         player_data = player_data.sort_values("Game_Date")
         st.line_chart(player_data.set_index("Game_Date")["PTS"])
 else:
-    st.warning("No data available to display.")
+    st.warning("No data available to display. Check error messages above.")
 
 # Footer
 st.markdown("Data source: [WNBA Stats API](https://stats.wnba.com)")