SIENTIAPDE-1579: Fixed data preprocessor

scripts/run_training_test.py

@@ -105,6 +105,19 @@ def load_scenario(scenario_name: str) -> dict:
         return json.load(f)
 
 
+def _resolve_csv_path(csv_path: Path) -> Path:
+    """Resolve CSV path; if not found in project root, try docs/."""
+    if csv_path.is_absolute():
+        return csv_path
+    resolved = PROJECT_ROOT / csv_path
+    if resolved.exists():
+        return resolved
+    docs_path = PROJECT_ROOT / 'docs' / csv_path.name
+    if docs_path.exists():
+        return docs_path
+    return resolved
+
+
 def _ensure_source_file(path: Path) -> None:
     if not path.exists():
         raise FileNotFoundError(f'Test dataset not found at {path.resolve()}')
@@ -206,6 +219,7 @@ def build_workflow_payload(
         'end_date': request_data.get('endDate'),
         'scaler_name': request_data.get('scalerName', 'None'),
         'support_filters': request_data.get('supportFilters', {}),
+        'static_threshold': request_data.get('staticThreshold'),
     }
 
 
@@ -292,8 +306,7 @@ def run_local_pipeline(
         result['error'] = str(exc)
         return result
 
-    if not csv_path.is_absolute():
-        csv_path = PROJECT_ROOT / csv_path
+    csv_path = _resolve_csv_path(csv_path)
     _ensure_source_file(csv_path)
     payload = _build_local_payload(request_data, csv_path)
     try:
@@ -439,6 +452,8 @@ def run_single_scenario(scenario_name: str, csv_path: Path) -> dict:
         result['error'] = str(exc)
         return result
 
+    csv_path = _resolve_csv_path(csv_path)
+
     # Upload CSV to MinIO
     try:
         uploaded_file_name = upload_to_minio(csv_path)