Upload Server

server.py

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+
+import tornado.ioloop
+import tornado.httpclient
+import tornado.web
+import json
+import joblib
+import sys
+
+import pandas as pd
+
+arguments = sys.argv
+lib = arguments[1]
+model = joblib.load('./models/' + lib)
+head_names=["received_bytes","send_bytes","port_duration","total_duration","jitter","differents_port"]
+
+
+
+class GenericHandler(tornado.web.RequestHandler):
+
+    TelegramBot=""
+    ChatTelegramId=""
+    message = "Alerta por escaneo. Puertos UDP escaneados desde la IP: "
+
+    def send_telegram(self,ip):
+        
+        url = f"https://api.telegram.org/bot{self.TelegramBot}/sendMessage" 
+        data = {"chat_id": self.ChatTelegramId, "text": self.message + ip} 
+        headers = {"Content-Type": "application/json"}
+        body = json.dumps(data) 
+
+        http_client = tornado.httpclient.AsyncHTTPClient()  
+        try:
+            response = http_client.fetch(
+                url, 
+                method="POST",
+                body=body, 
+                headers=headers,
+            )
+        except:
+            pass
+        finally:
+            http_client.close()
+
+    def post(self):
+        
+        plain_text = self.request.body.decode('utf-8')
+        metrics = plain_text.split("||")[0]
+        ip_src = plain_text.split("||")[1]
+
+        check_data = list(map(lambda x: float(x), metrics.split(',')))
+        df_predict = pd.DataFrame([check_data])
+        df_predict.columns = head_names
+        pre = model.predict(df_predict)
+        result = pre[0]
+        self.set_header("Content-Type", "text/plain")
+        self.write(str(result))
+        if round(result) == 1:
+            self.send_telegram(ip_src)
+        self.finish()
+
+        
+def make_app():
+    return tornado.web.Application([
+        (r"/check", GenericHandler), 
+    ])
+
+
+def main():
+    app = make_app()
+    app.listen(8888)
+    tornado.ioloop.IOLoop.current().start()
+
+if __name__ == "__main__":
+    main()