1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
|
from collections import OrderedDict
from typing import Any, Optional
from moto.core.base_backend import BackendDict, BaseBackend
from moto.core.common_models import BaseModel
from moto.moto_api._internal import mock_random
from moto.utilities.paginator import paginate
from moto.utilities.utils import get_partition
PAGINATION_MODEL = {
"list_channels": {
"input_token": "next_token",
"limit_key": "max_results",
"limit_default": 100,
"unique_attribute": "arn",
},
"list_inputs": {
"input_token": "next_token",
"limit_key": "max_results",
"limit_default": 100,
"unique_attribute": "arn",
},
}
class Input(BaseModel):
def __init__(self, **kwargs: Any):
self.arn = kwargs.get("arn")
self.attached_channels = kwargs.get("attached_channels", [])
self.destinations = kwargs.get("destinations", [])
self.input_id = kwargs.get("input_id")
self.input_class = kwargs.get("input_class", "STANDARD")
self.input_devices = kwargs.get("input_devices", [])
self.input_source_type = kwargs.get("input_source_type", "STATIC")
self.media_connect_flows = kwargs.get("media_connect_flows", [])
self.name = kwargs.get("name")
self.role_arn = kwargs.get("role_arn")
self.security_groups = kwargs.get("security_groups", [])
self.sources = kwargs.get("sources", [])
# Possible states: 'CREATING'|'DETACHED'|'ATTACHED'|'DELETING'|'DELETED'
self.state = kwargs.get("state")
self.tags = kwargs.get("tags")
self.input_type = kwargs.get("input_type")
def to_dict(self) -> dict[str, Any]:
return {
"arn": self.arn,
"attachedChannels": self.attached_channels,
"destinations": self.destinations,
"id": self.input_id,
"inputClass": self.input_class,
"inputDevices": self.input_devices,
"inputSourceType": self.input_source_type,
"mediaConnectFlows": self.media_connect_flows,
"name": self.name,
"roleArn": self.role_arn,
"securityGroups": self.security_groups,
"sources": self.sources,
"state": self.state,
"tags": self.tags,
"type": self.input_type,
}
def _resolve_transient_states(self) -> None:
# Resolve transient states before second call
# (to simulate AWS taking its sweet time with these things)
if self.state in ["CREATING"]:
self.state = "DETACHED" # or ATTACHED
elif self.state == "DELETING":
self.state = "DELETED"
class Channel(BaseModel):
def __init__(self, **kwargs: Any):
self.arn = kwargs.get("arn")
self.cdi_input_specification = kwargs.get("cdi_input_specification")
self.channel_class = kwargs.get("channel_class", "STANDARD")
self.destinations = kwargs.get("destinations")
self.egress_endpoints = kwargs.get("egress_endpoints", [])
self.encoder_settings = kwargs.get("encoder_settings")
self.channel_id = kwargs.get("channel_id")
self.input_attachments = kwargs.get("input_attachments")
self.input_specification = kwargs.get("input_specification")
self.log_level = kwargs.get("log_level")
self.name = kwargs.get("name")
self.pipeline_details = kwargs.get("pipeline_details", [])
self.role_arn = kwargs.get("role_arn")
self.state = kwargs.get("state")
self.tags = kwargs.get("tags")
self._previous_state = None
def to_dict(self, exclude: Optional[list[str]] = None) -> dict[str, Any]:
data = {
"arn": self.arn,
"cdiInputSpecification": self.cdi_input_specification,
"channelClass": self.channel_class,
"destinations": self.destinations,
"egressEndpoints": self.egress_endpoints,
"encoderSettings": self.encoder_settings,
"id": self.channel_id,
"inputAttachments": self.input_attachments,
"inputSpecification": self.input_specification,
"logLevel": self.log_level,
"name": self.name,
"pipelineDetails": self.pipeline_details,
"pipelinesRunningCount": 1
if self.channel_class == "SINGLE_PIPELINE"
else 2,
"roleArn": self.role_arn,
"state": self.state,
"tags": self.tags,
}
if exclude:
for key in exclude:
del data[key]
return data
def _resolve_transient_states(self) -> None:
# Resolve transient states before second call
# (to simulate AWS taking its sweet time with these things)
if self.state in ["CREATING", "STOPPING"]:
self.state = "IDLE"
elif self.state == "STARTING":
self.state = "RUNNING"
elif self.state == "DELETING":
self.state = "DELETED"
elif self.state == "UPDATING":
self.state = self._previous_state
self._previous_state = None
class MediaLiveBackend(BaseBackend):
def __init__(self, region_name: str, account_id: str):
super().__init__(region_name, account_id)
self._channels: dict[str, Channel] = OrderedDict()
self._inputs: dict[str, Input] = OrderedDict()
def create_channel(
self,
cdi_input_specification: dict[str, Any],
channel_class: str,
destinations: list[dict[str, Any]],
encoder_settings: dict[str, Any],
input_attachments: list[dict[str, Any]],
input_specification: dict[str, str],
log_level: str,
name: str,
role_arn: str,
tags: dict[str, str],
) -> Channel:
"""
The RequestID and Reserved parameters are not yet implemented
"""
channel_id = mock_random.uuid4().hex
arn = f"arn:{get_partition(self.region_name)}:medialive:channel:{channel_id}"
channel = Channel(
arn=arn,
cdi_input_specification=cdi_input_specification,
channel_class=channel_class or "STANDARD",
destinations=destinations,
egress_endpoints=[],
encoder_settings=encoder_settings,
channel_id=channel_id,
input_attachments=input_attachments,
input_specification=input_specification,
log_level=log_level,
name=name,
pipeline_details=[],
role_arn=role_arn,
state="CREATING",
tags=tags,
)
self._channels[channel_id] = channel
return channel
@paginate(pagination_model=PAGINATION_MODEL)
def list_channels(self) -> list[Channel]:
return list(self._channels.values())
def describe_channel(self, channel_id: str) -> Channel:
channel = self._channels[channel_id]
channel._resolve_transient_states()
return channel
def delete_channel(self, channel_id: str) -> Channel:
channel = self._channels[channel_id]
channel.state = "DELETING"
return channel
def start_channel(self, channel_id: str) -> Channel:
channel = self._channels[channel_id]
channel.state = "STARTING"
return channel
def stop_channel(self, channel_id: str) -> Channel:
channel = self._channels[channel_id]
channel.state = "STOPPING"
return channel
def update_channel(
self,
channel_id: str,
cdi_input_specification: dict[str, str],
destinations: list[dict[str, Any]],
encoder_settings: dict[str, Any],
input_attachments: list[dict[str, Any]],
input_specification: dict[str, str],
log_level: str,
name: str,
role_arn: str,
) -> Channel:
channel = self._channels[channel_id]
channel.cdi_input_specification = cdi_input_specification
channel.destinations = destinations
channel.encoder_settings = encoder_settings
channel.input_attachments = input_attachments
channel.input_specification = input_specification
channel.log_level = log_level
channel.name = name
channel.role_arn = role_arn
channel._resolve_transient_states()
channel._previous_state = channel.state
channel.state = "UPDATING"
return channel
def create_input(
self,
destinations: list[dict[str, str]],
input_devices: list[dict[str, str]],
input_security_groups: list[str],
media_connect_flows: list[dict[str, str]],
name: str,
role_arn: str,
sources: list[dict[str, str]],
tags: dict[str, str],
input_type: str,
) -> Input:
"""
The VPC and RequestId parameters are not yet implemented
"""
input_id = mock_random.uuid4().hex
arn = f"arn:{get_partition(self.region_name)}:medialive:input:{input_id}"
a_input = Input(
arn=arn,
input_id=input_id,
destinations=destinations,
input_devices=input_devices,
input_security_groups=input_security_groups,
media_connect_flows=media_connect_flows,
name=name,
role_arn=role_arn,
sources=sources,
tags=tags,
input_type=input_type,
state="CREATING",
)
self._inputs[input_id] = a_input
return a_input
def describe_input(self, input_id: str) -> Input:
a_input = self._inputs[input_id]
a_input._resolve_transient_states()
return a_input
@paginate(PAGINATION_MODEL)
def list_inputs(self) -> list[Input]:
return list(self._inputs.values())
def delete_input(self, input_id: str) -> None:
a_input = self._inputs[input_id]
a_input.state = "DELETING"
def update_input(
self,
destinations: list[dict[str, str]],
input_devices: list[dict[str, str]],
input_id: str,
input_security_groups: list[str],
media_connect_flows: list[dict[str, str]],
name: str,
role_arn: str,
sources: list[dict[str, str]],
) -> Input:
a_input = self._inputs[input_id]
a_input.destinations = destinations
a_input.input_devices = input_devices
a_input.security_groups = input_security_groups
a_input.media_connect_flows = media_connect_flows
a_input.name = name
a_input.role_arn = role_arn
a_input.sources = sources
return a_input
medialive_backends = BackendDict(MediaLiveBackend, "medialive")
|
