feat: enhance execution log tracking, progress updates, and data visualization

- Added `log_lines` field to track and display runtime logs for executions.
- Enhanced progress tracking with terminal-like log outputs and live log scrolling.
- Introduced detailed "model usage" and "dropped columns" analysis in `ExecutionsView`.
- Optimized UI components for displaying dataset metrics, including input/output token averages.

studio/backend/core/data_recipe/jobs/parse.py

@@ -103,7 +103,7 @@ def parse_log_message(msg: str) -> ParsedUpdate | None:
         return ParsedUpdate(usage_section_start=True)
 
     m = _RE_USAGE_MODEL.search(msg)
-    if m and "  |-- model:" in msg:
+    if m and "|-- model:" in msg:
         return ParsedUpdate(usage_model=str(m.group("model")).strip())
 
     m = _RE_USAGE_TOKENS.search(msg)