Ajout demonstration final

demo_boucle.py

@@ -0,0 +1,35 @@
+#! /bin/python3
+
+import socket
+import time
+import numpy as np
+
+from coapthon.client.helperclient import HelperClient
+from coapthon.client.superviseur import (SuperviseurGlobal,
+                                         SuperviseurLocalFiltre)
+from coapthon.utils import parse_uri
+from utils_learning import RequettePeriodique
+
+
+host, port, path = parse_uri("coap://polaris.kokarde.fr/basic")
+try:
+    tmp = socket.gethostbyname(host)
+    host = tmp
+except socket.gaierror:
+    pass
+
+nombreCapteur = 25
+periodeRequette = 1
+periodeControl = 15
+
+clients = [HelperClient(server=(host, port)) for _ in range(nombreCapteur)]
+super_g = SuperviseurGlobal(clients, SuperviseurLocalFiltre)
+
+requests = [RequettePeriodique(client, periodeRequette, path, name="Spamer {}".format(
+            n)) for n, client in enumerate(clients)]
+[request.start() for request in requests]
+
+for _ in range(10):
+    super_g.reset()
+    time.sleep(periodeControl)
+    print(super_g.state)

utils_learning.py

@@ -7,11 +7,7 @@ import time
 from typing import Any, Callable, Iterable, Mapping, Optional
 
 import numpy as np
-import tensorflow as tf
+
-from tf_agents.environments import (py_environment, tf_environment,
-                                    tf_py_environment, utils, wrappers)
-from tf_agents.specs import array_spec
-from tf_agents.trajectories import time_step as ts
 
 from coapthon.client.helperclient import HelperClient
 from coapthon.client.superviseur import (SuperviseurGlobal,
@@ -46,8 +42,13 @@ class RequettePeriodique(threading.Thread):
         else:
             raise ValueError
 
-
+try :
-class MaquetteCoapEnv(py_environment.PyEnvironment):
+    import tensorflow as tf
+    from tf_agents.environments import (py_environment, tf_environment,
+                                        tf_py_environment, utils, wrappers)
+    from tf_agents.specs import array_spec
+    from tf_agents.trajectories import time_step as ts
+    class MaquetteCoapEnv(py_environment.PyEnvironment):
         def __init__(self, clients: Iterable[HelperClient], superviseur_local_type: type, superviseur_global_type: type, request_path: str, args_reward: Iterable[Any] = (),
                     control_period: float = 30, request_period: Iterable[float] = None) -> None:
 
@@ -105,3 +106,6 @@ class MaquetteCoapEnv(py_environment.PyEnvironment):
                 return ts.termination(etat, -10000)
             else:
                 return ts.transition(etat, reward=recompense)
+
+except ImportError :
+    print("Pas de fonctionalité d'apprentissage")