Update src/streamlit_app.py

src/streamlit_app.py

@@ -206,25 +206,26 @@ if movie_id:
 
 elif page:
     st.title("🍿 Rate Random Movies")
-        # Genre- und Jahrfilter
+    # Genre- und Jahrfilter
     all_genres = sorted(set(genre.strip() for sublist in movie_df["genres"].dropna().str.split("|") for genre in sublist))
     selected_genres = st.multiselect("Select genres:", options=all_genres, placeholder="All genres")
-    
+
     min_year = int(movie_df["year"].min())
     max_year = int(movie_df["year"].max())
     selected_years = st.slider("Select release year range:", min_value=min_year, max_value=max_year, value=(min_year, max_year))
-    
-    # Gefilterter Pool
-    filtered_df = movie_df[
-        if filtered_df.empty:
-            st.warning("No movies match the selected filters.")
-            st.stop()
-        movie_df["year"].between(selected_years[0], selected_years[1]) &
-        (
-            (movie_df["genres"].apply(lambda x: any(g in x.split("|") for g in selected_genres)))
-            if selected_genres else True
-        )
-    ].copy()
+
+    # Anwenden der Filter
+    genre_filter = movie_df["genres"].apply(lambda g: any(genre in g.split("|") for genre in selected_genres)) if selected_genres else True
+    year_filter = movie_df["year"].between(selected_years[0], selected_years[1])
+
+    if isinstance(genre_filter, pd.Series):
+        filtered_df = movie_df[genre_filter & year_filter].copy()
+    else:
+        filtered_df = movie_df[year_filter].copy()
+
+    if filtered_df.empty:
+        st.warning("No movies match the selected filters.")
+        st.stop()
     
     # Neuen Pool bei Filteränderung neu setzen
     if "last_filter_state" not in st.session_state or \
@@ -327,12 +328,18 @@ else:
         def make_clickable_title(row):
             return f"<a href='/?movie_id={row['movieId']}' target='_self'>{row['clean_title']}</a>"
 
-        def show_table(dataframe, label):
+        def show_table(dataframe, label, checkbox_key):
+            show_all = st.checkbox(f"Show all in {label}", key=checkbox_key)
             st.subheader(label)
-            if dataframe.empty:
+            display_df = dataframe.copy()
+            if not show_all:
+                display_df = display_df.head(5)
+
+            if display_df.empty:
                 st.caption("No entries.")
                 return
-            df_display = dataframe[["movieId", "clean_title", "rating", "genres", "year", "timestamp"]].copy()
+
+            df_display = display_df[["movieId", "clean_title", "rating", "genres", "year", "timestamp"]].copy()
             df_display["Title"] = df_display.apply(make_clickable_title, axis=1)
             df_display["Rated"] = df_display["rating"].apply(render_star_rating)
             df_display["Date"] = df_display["timestamp"].dt.strftime("%Y-%m-%d")
@@ -340,14 +347,14 @@ else:
             st.markdown(df_display.to_html(escape=False, index=False), unsafe_allow_html=True)
 
         # Recently Rated
-        recent = merged.sort_values("timestamp", ascending=False).head(5)
-        show_table(recent, "🕓 Recently Rated")
+        recent = merged.sort_values("timestamp", ascending=False)
+        show_table(recent, "🕓 Recently Rated", checkbox_key="recently_rated")
 
         # Top Rated
-        top = merged[merged["rating"] >= 4].sort_values("rating", ascending=False).head(5)
-        show_table(top, "🌟 Top Rated")
+        top = merged[merged["rating"] >= 4].sort_values(["rating", "timestamp"], ascending=[False, False])
+        show_table(top, "🌟 Top Rated", checkbox_key="top_rated")
 
         # Worst Rated
-        worst = merged[merged["rating"] <= 2].sort_values("rating").head(5)
-        show_table(worst, "😞 Worst Rated")
+        worst = merged[merged["rating"] <= 2].sort_values(["rating", "timestamp"], ascending=[True, False])
+        show_table(worst, "😞 Worst Rated", checkbox_key="worst_rated")