Fix Space startup: sync full app source

src/utils.py

@@ -1,3 +1,4 @@
+import json
 import os
 import re
 from pathlib import Path
@@ -77,14 +78,37 @@ def unify_freq(df: pd.DataFrame) -> pd.DataFrame:
     return df
 
 
-def prepare_metrics_df(df: pd.DataFrame) -> pd.DataFrame:
-    """Clean metric columns for aggregation (GIFT-Eval style, no model normalization)."""
+def load_baseline_name(root_dir: str = "results") -> str:
+    status_path = Path(root_dir) / "online_status.json"
+    if status_path.exists():
+        baseline = json.loads(status_path.read_text()).get("baseline_model")
+        if baseline:
+            return baseline
+    return "Chronos-Bolt-Base"
+
+
+def standardize_df(df: pd.DataFrame, root_dir: str = "results") -> pd.DataFrame:
     df = df.copy()
     df["model"] = df["model"].replace(LEGACY_MODEL_NAMES)
 
     for metric in METRIC_COLUMNS:
         df[metric] = pd.to_numeric(df[metric], errors="coerce")
         df[metric] = df[metric].fillna(df[metric].mean())
+
+    baseline_name = load_baseline_name(root_dir)
+    if baseline_name not in set(df["model"]):
+        return df
+
+    group_keys = ["dataset", "term_length", "frequency"]
+    for _, group in df.groupby(group_keys):
+        baseline = group[group["model"] == baseline_name]
+        if baseline.empty:
+            continue
+        idx = baseline.index[0]
+        for metric in METRIC_COLUMNS:
+            denom = baseline.at[idx, metric]
+            if denom and denom != 0:
+                df.loc[group.index, metric] = df.loc[group.index, metric] / denom
     return df
 
 
@@ -137,7 +161,7 @@ def get_grouped_dfs(
 
     df = load_all_results(root_dir)
     df = enrich_with_properties(df, ds_properties)
-    df = prepare_metrics_df(df)
+    df = standardize_df(df, root_dir)
     df = _add_per_dataset_ranks(df)
 
     rank_cols = [f"Rank_{metric}" for metric in DISPLAY_METRICS]