feat: macro series

backend/services/macro_series_log.py

@@ -10,10 +10,14 @@ logger = logging.getLogger(__name__)
 
 
 def _parse_num(v) -> Optional[float]:
-    """Convert FF text value (e.g. '178K', '0.3%', '-92K') to float or None."""
+    """Convert FF text value (e.g. '178K', '0.3%', '-92K') to float in display unit.
+    Strips unit suffix without multiplying — '114K' → 114.0, '0.3%' → 0.3.
+    Matches JavaScript parseFloat behaviour so stored values match chart display."""
     if v is None:
         return None
-    s = str(v).strip().replace('%', '').replace('K', 'e3').replace('M', 'e6').replace('B', 'e9')
+    s = str(v).strip().replace('%', '').replace(',', '')
+    if s and s[-1].upper() in ('K', 'M', 'B'):
+        s = s[:-1].strip()
     try:
         return float(s)
     except Exception:
@@ -105,8 +109,14 @@ def backfill_from_ff_calendar(conn) -> dict:
         if actual_num is None and forecast_num is None:
             continue
 
-        logged_at = r['fetched_at'] or r['event_date']
-        changed = 'actual' if actual_num is not None else 'forecast'
+        # For past events use fetched_at (when we got the data); for future/no-actual use now
+        now_str = datetime.now(timezone.utc).strftime('%Y-%m-%d %H:%M:%S')
+        if actual_num is not None:
+            logged_at = r['fetched_at'] or r['event_date']  # historical: keep original timestamp
+            changed = 'actual'
+        else:
+            logged_at = now_str  # forecast-only: logged_at = time of backfill run
+            changed = 'forecast'
 
         conn.execute(
             """INSERT OR IGNORE INTO macro_series_log