Coverage for mlos_bench/mlos_bench/environments/remote/network_env.py: 47%

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1# 

2# Copyright (c) Microsoft Corporation. 

3# Licensed under the MIT License. 

4# 

5"""Network Environment.""" 

6 

7import logging 

8from typing import Optional 

9 

10from mlos_bench.environments.base_environment import Environment 

11from mlos_bench.services.base_service import Service 

12from mlos_bench.services.types.network_provisioner_type import ( 

13 SupportsNetworkProvisioning, 

14) 

15from mlos_bench.tunables.tunable_groups import TunableGroups 

16 

17_LOG = logging.getLogger(__name__) 

18 

19 

20class NetworkEnv(Environment): 

21 """ 

22 Network Environment. 

23 

24 Used to model creating a virtual network (and network security group), 

25 but no real tuning is expected for it ... yet. 

26 """ 

27 

28 def __init__( # pylint: disable=too-many-arguments 

29 self, 

30 *, 

31 name: str, 

32 config: dict, 

33 global_config: Optional[dict] = None, 

34 tunables: Optional[TunableGroups] = None, 

35 service: Optional[Service] = None, 

36 ): 

37 """ 

38 Create a new environment for network operations. 

39 

40 Parameters 

41 ---------- 

42 name: str 

43 Human-readable name of the environment. 

44 config : dict 

45 Free-format dictionary that contains the benchmark environment 

46 configuration. Each config must have at least the "tunable_params" 

47 and the "const_args" sections. 

48 global_config : dict 

49 Free-format dictionary of global parameters (e.g., security credentials) 

50 to be mixed in into the "const_args" section of the local config. 

51 tunables : TunableGroups 

52 A collection of tunable parameters for *all* environments. 

53 service: Service 

54 An optional service object (e.g., providing methods to 

55 deploy a network, etc.). 

56 """ 

57 super().__init__( 

58 name=name, 

59 config=config, 

60 global_config=global_config, 

61 tunables=tunables, 

62 service=service, 

63 ) 

64 

65 # Virtual networks can be used for more than one experiment, so by default 

66 # we don't attempt to deprovision them. 

67 self._deprovision_on_teardown = config.get("deprovision_on_teardown", False) 

68 

69 assert self._service is not None and isinstance( 

70 self._service, SupportsNetworkProvisioning 

71 ), "NetworkEnv requires a service that supports network provisioning" 

72 self._network_service: SupportsNetworkProvisioning = self._service 

73 

74 def setup(self, tunables: TunableGroups, global_config: Optional[dict] = None) -> bool: 

75 """ 

76 Check if network is ready. Provision, if necessary. 

77 

78 Parameters 

79 ---------- 

80 tunables : TunableGroups 

81 A collection of groups of tunable parameters along with the 

82 parameters' values. NetworkEnv tunables are variable parameters that, 

83 together with the NetworkEnv configuration, are sufficient to provision 

84 and start a set of network resources (e.g., virtual network and network 

85 security group). 

86 global_config : dict 

87 Free-format dictionary of global parameters of the environment 

88 that are not used in the optimization process. 

89 

90 Returns 

91 ------- 

92 is_success : bool 

93 True if operation is successful, false otherwise. 

94 """ 

95 _LOG.info("Network set up: %s :: %s", self, tunables) 

96 if not super().setup(tunables, global_config): 

97 return False 

98 

99 (status, params) = self._network_service.provision_network(self._params) 

100 if status.is_pending(): 

101 (status, _) = self._network_service.wait_network_deployment(params, is_setup=True) 

102 

103 self._is_ready = status.is_succeeded() 

104 return self._is_ready 

105 

106 def teardown(self) -> None: 

107 """Shut down the Network and releases it.""" 

108 if not self._deprovision_on_teardown: 

109 _LOG.info("Skipping Network deprovision: %s", self) 

110 return 

111 # Else 

112 _LOG.info("Network tear down: %s", self) 

113 (status, params) = self._network_service.deprovision_network( 

114 self._params, 

115 ignore_errors=True, 

116 ) 

117 if status.is_pending(): 

118 (status, _) = self._network_service.wait_network_deployment(params, is_setup=False) 

119 

120 super().teardown() 

121 _LOG.debug("Final status of Network deprovisioning: %s :: %s", self, status)