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
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
|
import json
from moto.core.common_types import TYPE_RESPONSE
from moto.core.config import default_user_config
from moto.core.responses import BaseResponse
from moto.core.utils import iso_8601_datetime_with_milliseconds
from .exceptions import ValidationException
from .models import StepFunctionBackend, stepfunctions_backends
from .parser.api import ExecutionStatus
def get_backend(account: str, region: str) -> StepFunctionBackend:
sfn_config = default_user_config.get("stepfunctions", {})
if sfn_config.get("execute_state_machine", False):
from .parser.models import stepfunctions_parser_backends
return stepfunctions_parser_backends[account][region]
else:
return stepfunctions_backends[account][region]
class StepFunctionResponse(BaseResponse):
def __init__(self) -> None:
super().__init__(service_name="stepfunctions")
@property
def stepfunction_backend(self) -> StepFunctionBackend:
return get_backend(self.current_account, self.region)
def create_state_machine(self) -> TYPE_RESPONSE:
name = self._get_param("name")
definition = self._get_param("definition")
roleArn = self._get_param("roleArn")
tags = self._get_param("tags")
publish = self._get_param("publish")
encryptionConfiguration = self._get_param("encryptionConfiguration")
loggingConfiguration = self._get_param("loggingConfiguration")
tracingConfiguration = self._get_param("tracingConfiguration")
version_description = self._get_param("versionDescription")
if version_description and not publish:
raise ValidationException(
"Version description can only be set when publish is true"
)
state_machine = self.stepfunction_backend.create_state_machine(
name=name,
definition=definition,
roleArn=roleArn,
tags=tags,
publish=publish,
loggingConfiguration=loggingConfiguration,
tracingConfiguration=tracingConfiguration,
encryptionConfiguration=encryptionConfiguration,
version_description=version_description,
)
response = {
"creationDate": state_machine.creation_date,
"stateMachineArn": state_machine.arn,
}
if state_machine.latest_version:
response["stateMachineVersionArn"] = state_machine.latest_version.arn
return 200, {}, json.dumps(response)
def list_state_machines(self) -> TYPE_RESPONSE:
max_results = self._get_int_param("maxResults")
next_token = self._get_param("nextToken")
results, next_token = self.stepfunction_backend.list_state_machines(
max_results=max_results, next_token=next_token
)
state_machines = [
{
"creationDate": sm.creation_date,
"name": sm.name,
"stateMachineArn": sm.arn,
}
for sm in results
]
response = {"stateMachines": state_machines, "nextToken": next_token}
return 200, {}, json.dumps(response)
def describe_state_machine(self) -> TYPE_RESPONSE:
arn = self._get_param("stateMachineArn")
return self._describe_state_machine(arn)
def _describe_state_machine(self, state_machine_arn: str) -> TYPE_RESPONSE:
state_machine = self.stepfunction_backend.describe_state_machine(
state_machine_arn
)
response = {
"creationDate": state_machine.creation_date,
"stateMachineArn": state_machine.arn,
"definition": state_machine.definition,
"name": state_machine.name,
"roleArn": state_machine.roleArn,
"status": "ACTIVE",
"type": state_machine.type,
"encryptionConfiguration": state_machine.encryptionConfiguration,
"tracingConfiguration": state_machine.tracingConfiguration,
"loggingConfiguration": state_machine.loggingConfiguration,
}
if state_machine.description:
response["description"] = state_machine.description
return 200, {}, json.dumps(response)
def delete_state_machine(self) -> TYPE_RESPONSE:
arn = self._get_param("stateMachineArn")
self.stepfunction_backend.delete_state_machine(arn)
return 200, {}, json.dumps("{}")
def update_state_machine(self) -> TYPE_RESPONSE:
arn = self._get_param("stateMachineArn")
definition = self._get_param("definition")
role_arn = self._get_param("roleArn")
tracing_config = self._get_param("tracingConfiguration")
encryption_config = self._get_param("encryptionConfiguration")
logging_config = self._get_param("loggingConfiguration")
publish = self._get_param("publish")
version_description = self._get_param("versionDescription")
if version_description and not publish:
raise ValidationException(
"Version description can only be set when publish is true"
)
state_machine = self.stepfunction_backend.update_state_machine(
arn=arn,
definition=definition,
role_arn=role_arn,
tracing_configuration=tracing_config,
encryption_configuration=encryption_config,
logging_configuration=logging_config,
publish=publish,
version_description=version_description,
)
response = {"updateDate": state_machine.update_date}
if publish:
response["stateMachineVersionArn"] = state_machine.latest_version.arn # type: ignore
return 200, {}, json.dumps(response)
def list_tags_for_resource(self) -> TYPE_RESPONSE:
arn = self._get_param("resourceArn")
response = self.stepfunction_backend.list_tags_for_resource(arn)
return 200, {}, json.dumps(response)
def tag_resource(self) -> TYPE_RESPONSE:
arn = self._get_param("resourceArn")
tags = self._get_param("tags", [])
self.stepfunction_backend.tag_resource(arn, tags)
return 200, {}, json.dumps({})
def untag_resource(self) -> TYPE_RESPONSE:
arn = self._get_param("resourceArn")
tag_keys = self._get_param("tagKeys", [])
self.stepfunction_backend.untag_resource(arn, tag_keys)
return 200, {}, json.dumps({})
def start_execution(self) -> TYPE_RESPONSE:
arn = self._get_param("stateMachineArn")
name = self._get_param("name")
execution_input = self._get_param("input", if_none="{}")
execution = self.stepfunction_backend.start_execution(
arn, name, execution_input
)
response = {
"executionArn": execution.execution_arn,
"startDate": iso_8601_datetime_with_milliseconds(execution.start_date),
}
return 200, {}, json.dumps(response)
def list_executions(self) -> TYPE_RESPONSE:
max_results = self._get_int_param("maxResults")
next_token = self._get_param("nextToken")
arn = self._get_param("stateMachineArn")
status_filter = self._get_param("statusFilter")
state_machine = self.stepfunction_backend.describe_state_machine(arn)
results, next_token = self.stepfunction_backend.list_executions(
arn,
status_filter=status_filter,
max_results=max_results,
next_token=next_token,
)
executions = []
for execution in results:
result = {
"executionArn": execution.execution_arn,
"name": execution.name,
"startDate": iso_8601_datetime_with_milliseconds(execution.start_date),
"stateMachineArn": state_machine.arn,
"status": execution.status,
}
if execution.status in [
ExecutionStatus.SUCCEEDED,
ExecutionStatus.FAILED,
ExecutionStatus.ABORTED,
]:
result["stopDate"] = iso_8601_datetime_with_milliseconds(
execution.stop_date
)
executions.append(result)
response = {"executions": executions, "nextToken": next_token}
return 200, {}, json.dumps(response)
def describe_execution(self) -> TYPE_RESPONSE:
arn = self._get_param("executionArn")
execution = self.stepfunction_backend.describe_execution(arn)
response = {
"executionArn": arn,
"input": execution.execution_input,
"name": execution.name,
"startDate": iso_8601_datetime_with_milliseconds(execution.start_date),
"stateMachineArn": execution.state_machine_arn,
"status": execution.status,
}
if execution.status in [
ExecutionStatus.SUCCEEDED,
ExecutionStatus.ABORTED,
ExecutionStatus.FAILED,
]:
response["stopDate"] = iso_8601_datetime_with_milliseconds(
execution.stop_date
)
if execution.status in [
ExecutionStatus.SUCCEEDED,
ExecutionStatus.SUCCEEDED.value,
]:
if isinstance(execution.output, str):
response["output"] = execution.output
elif execution.output is not None:
response["output"] = json.dumps(execution.output)
response["outputDetails"] = execution.output_details
if execution.error is not None:
response["error"] = execution.error
if execution.cause is not None:
response["cause"] = execution.cause
return 200, {}, json.dumps(response)
def describe_state_machine_for_execution(self) -> TYPE_RESPONSE:
arn = self._get_param("executionArn")
sm = self.stepfunction_backend.describe_state_machine_for_execution(arn)
return self._describe_state_machine(sm.arn)
def stop_execution(self) -> TYPE_RESPONSE:
arn = self._get_param("executionArn")
execution = self.stepfunction_backend.stop_execution(arn)
response = {
"stopDate": iso_8601_datetime_with_milliseconds(execution.stop_date)
}
return 200, {}, json.dumps(response)
def get_execution_history(self) -> TYPE_RESPONSE:
execution_arn = self._get_param("executionArn")
execution_history = self.stepfunction_backend.get_execution_history(
execution_arn
)
return 200, {}, json.dumps(execution_history)
def send_task_failure(self) -> TYPE_RESPONSE:
task_token = self._get_param("taskToken")
error = self._get_param("error")
self.stepfunction_backend.send_task_failure(task_token, error=error)
return 200, {}, "{}"
def send_task_heartbeat(self) -> TYPE_RESPONSE:
task_token = self._get_param("taskToken")
self.stepfunction_backend.send_task_heartbeat(task_token)
return 200, {}, "{}"
def send_task_success(self) -> TYPE_RESPONSE:
task_token = self._get_param("taskToken")
output = self._get_param("output")
self.stepfunction_backend.send_task_success(task_token, output)
return 200, {}, "{}"
def list_map_runs(self) -> TYPE_RESPONSE:
execution_arn = self._get_param("executionArn")
runs = self.stepfunction_backend.list_map_runs(execution_arn)
return 200, {}, json.dumps(runs)
def describe_map_run(self) -> TYPE_RESPONSE:
map_run_arn = self._get_param("mapRunArn")
run = self.stepfunction_backend.describe_map_run(map_run_arn)
return 200, {}, json.dumps(run)
def update_map_run(self) -> TYPE_RESPONSE:
map_run_arn = self._get_param("mapRunArn")
max_concurrency = self._get_param("maxConcurrency")
tolerated_failure_count = self._get_param("toleratedFailureCount")
tolerated_failure_percentage = self._get_param("toleratedFailurePercentage")
self.stepfunction_backend.update_map_run(
map_run_arn,
max_concurrency,
tolerated_failure_count=tolerated_failure_count,
tolerated_failure_percentage=tolerated_failure_percentage,
)
return 200, {}, "{}"
def create_activity(self) -> TYPE_RESPONSE:
name = self._get_param("name")
tags = self._get_param("tags")
encryption_configuration = self._get_param("encryptionConfiguration")
activity = self.stepfunction_backend.create_activity(
name=name, tags=tags, encryption_configuration=encryption_configuration
)
response = {
"creationDate": activity.creation_date,
"activityArn": activity.arn,
}
return 200, {}, json.dumps(response)
def describe_activity(self) -> TYPE_RESPONSE:
activity_arn = self._get_param("activityArn")
activity = self.stepfunction_backend.describe_activity(activity_arn)
response = {
"activityArn": activity.arn,
"name": activity.name,
"creationDate": activity.creation_date,
"encryptionConfiguration": activity.encryption_configuration,
}
return 200, {}, json.dumps(response)
def delete_activity(self) -> TYPE_RESPONSE:
activity_arn = self._get_param("activityArn")
self.stepfunction_backend.delete_activity(activity_arn)
return 200, {}, "{}"
def list_activities(self) -> TYPE_RESPONSE:
max_results = self._get_param("maxResults")
next_token = self._get_param("nextToken")
results, next_token = self.stepfunction_backend.list_activities(
max_results=max_results, next_token=next_token
)
activities = [
{
"activityArn": activity.arn,
"name": activity.name,
"creationDate": activity.creation_date,
}
for activity in results
]
response = {"activities": activities, "nextToken": next_token}
return 200, {}, json.dumps(response)
|
