Push the rest

backend/app/core/executor.py

@@ -0,0 +1,27 @@
+from __future__ import annotations
+
+import os
+from concurrent.futures import ThreadPoolExecutor
+
+# Shared executor for CPU-bound analytics (pandas/sklearn) and sync MSSQL I/O
+# (pyodbc is inherently synchronous and blocks the event loop if called directly).
+#
+# Workers are capped at 8 to avoid overwhelming the MSSQL connection pools.
+# In K8s: set ANALYTICS_WORKERS to match the pod's CPU limit.
+_WORKERS = min(8, int(os.environ.get("ANALYTICS_WORKERS", "0")) or (os.cpu_count() or 2) * 2)
+
+_executor: ThreadPoolExecutor | None = None
+
+
+def get_executor() -> ThreadPoolExecutor:
+    global _executor
+    if _executor is None:
+        _executor = ThreadPoolExecutor(max_workers=_WORKERS, thread_name_prefix="analytics")
+    return _executor
+
+
+def shutdown_executor() -> None:
+    global _executor
+    if _executor is not None:
+        _executor.shutdown(wait=False)
+        _executor = None