From 5dddd8224093dc0c41ba7dd876221e99425363d8 Mon Sep 17 00:00:00 2001
From: tecnotel <cyber@tecnotelsrl.com>
Date: Mon, 4 May 2026 21:03:48 +0200
Subject: [PATCH] Update setup_server.py

---
 setup_server.py | 54 +++++++++++++++++++++++++++++++++++++++----------
 1 file changed, 43 insertions(+), 11 deletions(-)

diff --git a/setup_server.py b/setup_server.py
index 18c9347..e1be876 100644
--- a/setup_server.py
+++ b/setup_server.py
@@ -559,32 +559,64 @@ def _write_nginx_conf(conf):
 
 
 def _write_services():
-    venv_py     = str(APP_DIR / "backend/venv/bin/python3")
-    backend_dir = str(APP_DIR / "backend")
+    """Genera le 4 unit systemd ARGOS in versione Gunicorn.
+
+    Mappatura service → wsgi target:
+      - argos-backend   : argos_backend:app           (no wrapper, app a top-level)
+      - argos-sync      : argos_sync_wsgi:app         (wrapper avvia main_loop)
+      - argos-ops       : argos_ops_wsgi:app          (wrapper avvia main_loop)
+      - argos-analytics : argos_analytics_wsgi:app    (wrapper avvia _scheduler_loop)
+
+    Vincolo critico: workers=1 obbligatorio per sync/ops/analytics.
+    Hanno scheduler in-memory + thread daemon che, con N worker, sarebbero
+    duplicati N volte (job doppi, file lock contention, race su SQLite).
+
+    Backend e' API stateless: 2 worker sync per migliorare throughput.
+    Gli altri usano gthread (threads=4) per servire API mentre lo scheduler
+    interno gira nel thread daemon.
+
+    Aggiornato 04/05/2026: migrazione da Flask dev server a Gunicorn 25.3+.
+    """
+    venv_bin     = str(APP_DIR / "backend/venv/bin")
+    backend_dir  = str(APP_DIR / "backend")
+    services_dir = str(APP_DIR / "backend/services")
+
+    # (wsgi_target, workers, threads, timeout_sec, port, description)
     services = {
-        "backend":   ("services/argos_backend.py",  "Backend API"),
-        "sync":      ("services/argos_sync.py",      "Sync Daemon"),
-        "ops":       ("services/argos_ops.py",       "Ops Daemon"),
-        "analytics": ("services/argos_analytics.py", "Analytics Daemon"),
+        "backend":   ("argos_backend:app",         2, 1, 120, 8080, "Backend API"),
+        "sync":      ("argos_sync_wsgi:app",       1, 4, 600, 8081, "Sync Daemon"),
+        "ops":       ("argos_ops_wsgi:app",        1, 4, 600, 8082, "Ops Daemon"),
+        "analytics": ("argos_analytics_wsgi:app",  1, 4, 300, 8083, "Analytics Daemon"),
     }
 
-    for svc, (script, desc) in services.items():
+    for svc, (wsgi, workers, threads, timeout, port, desc) in services.items():
+        # Solo i servizi con threads>1 usano gthread; backend e' sync con 2 worker.
+        threads_line = f"    --threads {threads} \\\n" if threads > 1 else ""
         unit = f"""[Unit]
-Description=ARGOS {desc}
+Description=ARGOS {desc} (Gunicorn)
 After=network.target
 
 [Service]
 Type=simple
 User={APP_USER}
 Group={APP_USER}
-WorkingDirectory={backend_dir}
-Environment=PYTHONPATH={backend_dir}
+WorkingDirectory={services_dir}
+Environment=PYTHONPATH={backend_dir}:{services_dir}
 Environment=CONFIG_FILE={CONFIG_DIR}/argos.json
 Environment=INTEGRATIONS_FILE={CONFIG_DIR}/integrations.json
 Environment=DATA_DIR={DATA_DIR}
 Environment=FEEDS_DIR={FEEDS_DIR}
 Environment=LOGS_DIR={LOGS_DIR}
-ExecStart={venv_py} {backend_dir}/{script}
+ExecStart={venv_bin}/gunicorn {wsgi} \\
+    --workers {workers} \\
+{threads_line}    --bind 127.0.0.1:{port} \\
+    --timeout {timeout} \\
+    --graceful-timeout 30 \\
+    --keep-alive 5 \\
+    --access-logfile - \\
+    --error-logfile - \\
+    --log-level info \\
+    --capture-output
 Restart=always
 RestartSec=5
 StandardOutput=journal