chore(viewer): remove dead code, hoist imports, trim Dataset Quality cards

viewer/main.py

@@ -1,3 +1,4 @@
+import ast
 import os
 import re
 import hashlib
@@ -7,6 +8,8 @@
 import logging
 import json
 import subprocess
+import threading
+import time
 from functools import lru_cache
 import precompute_trends
 import dataset_quality
@@ -85,8 +88,6 @@ class State:
 
 
 def df_to_config(df: pd.DataFrame) -> dict:
-    import ast
-
     original_dict = {}
 
     for _, row in df.iterrows():
@@ -345,7 +346,7 @@ def status_component():
             box_shadow="0 2px 4px rgba(0,0,0,0.05)",
         )
     ):
-        me.text("Product status", type="headline-5")
+        me.text("Product Status", type="headline-5")
         me.box(style=me.Style(height="16px"))
         me.text(f"Total Evaluation Jobs: {len(directories)}")
 
@@ -597,8 +598,6 @@ def _pct(value):
 
 
 def _build_summaries(cache_df):
-    import re
-
     rows = []
     for _, row in cache_df.iterrows():
         score = row['ai_score'] if 'ai_score' in row else 0.0
@@ -2100,7 +2099,6 @@ def on_clear_cache_click(e: me.ClickEvent):
 
                 logging.info("Cleared precomputed files. Triggering precompute...")
 
-                import threading
                 threading.Thread(target=precompute_trends.precompute).start()
 
                 state.cache_cleared_message = "Cache cleared. Precompute triggered in background."
@@ -2135,7 +2133,6 @@ def on_clear_cache_click(e: me.ClickEvent):
                 ),
             )
 
-            import time
             cache_file = os.path.join(results_dir, "trends_cache.csv")
             cache_status = "Not Ready"
             cache_color = "#ef4444" # Red
@@ -2223,7 +2220,6 @@ def on_generate_summary_click(e: me.ClickEvent):
                     results_dir_full = os.path.join(results_dir, state.selected_directory)
                     state.ai_summary = summarize_eval_scoring(results_dir_full)
                     # Parse score
-                    import re
                     match = re.search(r"\*\*General Score:\s*(\d+(\.\d+)?)[^*]*\*\*", state.ai_summary)
                     if match:
                         state.ai_score = float(match.group(1))
@@ -2319,7 +2315,6 @@ def get_val(cfg_name):
 
                                 # Fallback if score was not parsed correctly in cache
                                 if state.ai_score == 0.0 and state.ai_summary:
-                                    import re
                                     match = re.search(r"General Score:.*?(\d+(\.\d+)?)", state.ai_summary)
                                     if match:
                                         state.ai_score = float(match.group(1))
@@ -2339,7 +2334,6 @@ def get_val(cfg_name):
                             me.text("Formula: 0.4 * goal_completion + 0.2 * trajectory_matcher + 0.2 * behavioral_metrics + 0.2 * parameter_analysis", style=me.Style(font_size="14px", color="#6b7280", margin=me.Margin(bottom="16px")))
 
                         # Strip score from summary if present to avoid duplication
-                        import re
                         clean_summary = re.sub(r"^\s*\*\*General Score:\s*\d+(\.\d+)?[^*]*\*\*\s*", "", state.ai_summary)
                         me.markdown(clean_summary)
 
@@ -2410,6 +2404,7 @@ def on_next_conversation(e: me.ClickEvent):
 
 
             else:
+                            # Local: trends imports from main, so hoisting this cycles.
                             from trends import trends_component
                             state = me.state(State)
 
@@ -2476,5 +2471,4 @@ def on_main_tab_change(e: me.ButtonToggleChangeEvent):
     except Exception as e:
         logging.exception("render_app_content failed")
         me.text(f"Fatal Error: {e}")
-if __name__ == "__main__":
-    me.run(app)
+