Mercurial > repos > shellac > guppy_basecaller
annotate env/lib/python3.7/site-packages/planemo/galaxy/activity.py @ 0:26e78fe6e8c4 draft
"planemo upload commit c699937486c35866861690329de38ec1a5d9f783"
author | shellac |
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date | Sat, 02 May 2020 07:14:21 -0400 |
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1 """Module provides generic interface to running Galaxy tools and workflows.""" |
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2 |
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3 import json |
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4 import os |
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5 import tempfile |
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6 import time |
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7 |
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8 import bioblend |
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9 import requests |
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10 import yaml |
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11 from bioblend.galaxy.client import Client |
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12 from bioblend.util import attach_file |
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13 from galaxy.tool_util.cwl.util import ( |
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14 DirectoryUploadTarget, |
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15 FileUploadTarget, |
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16 galactic_job_json, |
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17 invocation_to_output, |
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18 output_properties, |
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19 output_to_cwl_json, |
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20 path_or_uri_to_uri, |
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21 tool_response_to_output, |
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22 ) |
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23 from galaxy.tool_util.parser import get_tool_source |
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24 from galaxy.util import ( |
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25 safe_makedirs, |
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26 unicodify, |
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27 ) |
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28 |
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29 from planemo.galaxy.api import summarize_history |
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30 from planemo.io import wait_on |
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31 from planemo.runnable import ( |
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32 ErrorRunResponse, |
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33 get_outputs, |
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34 RunnableType, |
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35 SuccessfulRunResponse, |
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36 ) |
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37 |
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38 DEFAULT_HISTORY_NAME = "CWL Target History" |
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39 ERR_NO_SUCH_TOOL = ("Failed to find tool with ID [%s] in Galaxy - cannot execute job. " |
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40 "You may need to enable verbose logging and determine why the tool did not load. [%s]") |
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41 |
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42 |
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43 def execute(ctx, config, runnable, job_path, **kwds): |
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44 """Execute a Galaxy activity.""" |
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45 try: |
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46 return _execute(ctx, config, runnable, job_path, **kwds) |
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47 except Exception as e: |
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48 return ErrorRunResponse(unicodify(e)) |
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49 |
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50 |
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51 def _verified_tool_id(runnable, user_gi): |
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52 tool_id = _tool_id(runnable.path) |
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53 try: |
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54 user_gi.tools.show_tool(tool_id) |
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55 except Exception as e: |
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56 raise Exception(ERR_NO_SUCH_TOOL % (tool_id, e)) |
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57 return tool_id |
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58 |
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59 |
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60 def _inputs_representation(runnable): |
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61 if runnable.type == RunnableType.cwl_tool: |
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62 inputs_representation = "cwl" |
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63 else: |
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64 inputs_representation = "galaxy" |
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65 return inputs_representation |
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66 |
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67 |
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68 def log_contents_str(config): |
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69 if hasattr(config, "log_contents"): |
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70 return config.log_contents |
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71 else: |
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72 return "No log for this engine type." |
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73 |
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74 |
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75 def _execute(ctx, config, runnable, job_path, **kwds): |
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76 user_gi = config.user_gi |
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77 admin_gi = config.gi |
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78 |
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79 history_id = _history_id(user_gi, **kwds) |
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80 |
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81 job_dict, _ = stage_in(ctx, runnable, config, user_gi, history_id, job_path, **kwds) |
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82 |
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83 if runnable.type in [RunnableType.galaxy_tool, RunnableType.cwl_tool]: |
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84 response_class = GalaxyToolRunResponse |
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85 tool_id = _verified_tool_id(runnable, user_gi) |
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86 inputs_representation = _inputs_representation(runnable) |
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87 run_tool_payload = dict( |
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88 history_id=history_id, |
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89 tool_id=tool_id, |
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90 inputs=job_dict, |
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91 inputs_representation=inputs_representation, |
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92 ) |
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93 ctx.vlog("Post to Galaxy tool API with payload [%s]" % run_tool_payload) |
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94 tool_run_response = user_gi.tools._post(run_tool_payload) |
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95 |
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96 job = tool_run_response["jobs"][0] |
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97 job_id = job["id"] |
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98 try: |
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99 final_state = _wait_for_job(user_gi, job_id) |
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100 except Exception: |
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101 summarize_history(ctx, user_gi, history_id) |
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102 raise |
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103 if final_state != "ok": |
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104 msg = "Failed to run CWL tool job final job state is [%s]." % final_state |
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105 summarize_history(ctx, user_gi, history_id) |
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106 with open("errored_galaxy.log", "w") as f: |
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107 f.write(log_contents_str(config)) |
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108 raise Exception(msg) |
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109 |
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110 ctx.vlog("Final job state was ok, fetching details for job [%s]" % job_id) |
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111 job_info = admin_gi.jobs.show_job(job_id) |
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112 response_kwds = { |
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113 'job_info': job_info, |
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114 'api_run_response': tool_run_response, |
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115 } |
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116 if ctx.verbose: |
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117 summarize_history(ctx, user_gi, history_id) |
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118 elif runnable.type in [RunnableType.galaxy_workflow, RunnableType.cwl_workflow]: |
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119 response_class = GalaxyWorkflowRunResponse |
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120 workflow_id = config.workflow_id(runnable.path) |
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121 ctx.vlog("Found Galaxy workflow ID [%s] for path [%s]" % (workflow_id, runnable.path)) |
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122 # TODO: update bioblend to allow inputs_by. |
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123 # invocation = user_gi.worklfows.invoke_workflow( |
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124 # workflow_id, |
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125 # history_id=history_id, |
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126 # inputs=job_dict, |
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127 # ) |
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128 payload = dict( |
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129 workflow_id=workflow_id, |
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130 history_id=history_id, |
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131 inputs=job_dict, |
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132 inputs_by="name", |
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133 allow_tool_state_corrections=True, |
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134 ) |
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135 invocations_url = "%s/%s/invocations" % ( |
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136 user_gi._make_url(user_gi.workflows), |
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137 workflow_id, |
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138 ) |
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139 invocation = Client._post(user_gi.workflows, payload, url=invocations_url) |
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140 invocation_id = invocation["id"] |
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141 ctx.vlog("Waiting for invocation [%s]" % invocation_id) |
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142 polling_backoff = kwds.get("polling_backoff", 0) |
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143 try: |
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144 final_invocation_state = _wait_for_invocation(ctx, user_gi, history_id, workflow_id, invocation_id, polling_backoff) |
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145 except Exception: |
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146 ctx.vlog("Problem waiting on invocation...") |
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147 summarize_history(ctx, user_gi, history_id) |
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148 raise |
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149 ctx.vlog("Final invocation state is [%s]" % final_invocation_state) |
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150 final_state = _wait_for_history(ctx, user_gi, history_id, polling_backoff) |
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151 if final_state != "ok": |
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152 msg = "Failed to run workflow final history state is [%s]." % final_state |
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153 summarize_history(ctx, user_gi, history_id) |
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154 with open("errored_galaxy.log", "w") as f: |
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155 f.write(log_contents_str(config)) |
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156 raise Exception(msg) |
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157 ctx.vlog("Final history state is 'ok'") |
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158 response_kwds = { |
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159 'workflow_id': workflow_id, |
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160 'invocation_id': invocation_id, |
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161 } |
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162 else: |
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163 raise NotImplementedError() |
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164 |
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165 run_response = response_class( |
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166 ctx=ctx, |
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167 runnable=runnable, |
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168 user_gi=user_gi, |
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169 history_id=history_id, |
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170 log=log_contents_str(config), |
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171 **response_kwds |
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172 ) |
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173 output_directory = kwds.get("output_directory", None) |
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174 ctx.vlog("collecting outputs from run...") |
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175 run_response.collect_outputs(ctx, output_directory) |
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176 ctx.vlog("collecting outputs complete") |
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177 return run_response |
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178 |
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179 |
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180 def stage_in(ctx, runnable, config, user_gi, history_id, job_path, **kwds): |
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181 files_attached = [False] |
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182 |
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183 def upload_func(upload_target): |
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184 |
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185 def _attach_file(upload_payload, uri, index=0): |
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186 uri = path_or_uri_to_uri(uri) |
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187 is_path = uri.startswith("file://") |
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188 if not is_path or config.use_path_paste: |
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189 upload_payload["inputs"]["files_%d|url_paste" % index] = uri |
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190 else: |
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191 files_attached[0] = True |
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192 path = uri[len("file://"):] |
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193 upload_payload["files_%d|file_data" % index] = attach_file(path) |
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194 |
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195 if isinstance(upload_target, FileUploadTarget): |
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196 file_path = upload_target.path |
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197 upload_payload = user_gi.tools._upload_payload( |
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198 history_id, |
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199 file_type=upload_target.properties.get('filetype', None) or "auto", |
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200 ) |
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201 name = os.path.basename(file_path) |
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202 upload_payload["inputs"]["files_0|auto_decompress"] = False |
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203 upload_payload["inputs"]["auto_decompress"] = False |
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204 _attach_file(upload_payload, file_path) |
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205 upload_payload["inputs"]["files_0|NAME"] = name |
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206 if upload_target.secondary_files: |
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207 _attach_file(upload_payload, upload_target.secondary_files, index=1) |
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208 upload_payload["inputs"]["files_1|type"] = "upload_dataset" |
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209 upload_payload["inputs"]["files_1|auto_decompress"] = True |
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210 upload_payload["inputs"]["file_count"] = "2" |
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211 upload_payload["inputs"]["force_composite"] = "True" |
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212 |
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213 ctx.vlog("upload_payload is %s" % upload_payload) |
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214 return user_gi.tools._post(upload_payload, files_attached=files_attached[0]) |
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215 elif isinstance(upload_target, DirectoryUploadTarget): |
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216 tar_path = upload_target.tar_path |
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217 |
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218 upload_payload = user_gi.tools._upload_payload( |
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219 history_id, |
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220 file_type="tar", |
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221 ) |
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222 upload_payload["inputs"]["files_0|auto_decompress"] = False |
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223 _attach_file(upload_payload, tar_path) |
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224 tar_upload_response = user_gi.tools._post(upload_payload, files_attached=files_attached[0]) |
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225 convert_response = user_gi.tools.run_tool( |
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226 tool_id="CONVERTER_tar_to_directory", |
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227 tool_inputs={"input1": {"src": "hda", "id": tar_upload_response["outputs"][0]["id"]}}, |
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228 history_id=history_id, |
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229 ) |
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230 assert "outputs" in convert_response, convert_response |
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231 return convert_response |
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232 else: |
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233 content = json.dumps(upload_target.object) |
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234 return user_gi.tools.paste_content( |
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235 content, |
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236 history_id, |
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237 file_type="expression.json", |
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238 ) |
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239 |
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240 def create_collection_func(element_identifiers, collection_type): |
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241 payload = { |
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242 "name": "dataset collection", |
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243 "instance_type": "history", |
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244 "history_id": history_id, |
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245 "element_identifiers": element_identifiers, |
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246 "collection_type": collection_type, |
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247 "fields": None if collection_type != "record" else "auto", |
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248 } |
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249 dataset_collections_url = user_gi.url + "/dataset_collections" |
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250 dataset_collection = Client._post(user_gi.histories, payload, url=dataset_collections_url) |
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251 return dataset_collection |
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252 |
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253 with open(job_path, "r") as f: |
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254 job = yaml.safe_load(f) |
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255 |
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256 # Figure out what "." should be here instead. |
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257 job_dir = os.path.dirname(job_path) |
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258 job_dict, datasets = galactic_job_json( |
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259 job, |
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260 job_dir, |
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261 upload_func, |
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262 create_collection_func, |
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263 tool_or_workflow="tool" if runnable.type in [RunnableType.cwl_tool, RunnableType.galaxy_tool] else "workflow", |
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264 ) |
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265 |
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266 if datasets: |
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267 final_state = _wait_for_history(ctx, user_gi, history_id) |
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268 |
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269 for (dataset, path) in datasets: |
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270 dataset_details = user_gi.histories.show_dataset( |
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271 history_id, |
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272 dataset["id"], |
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273 ) |
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274 ctx.vlog("Uploaded dataset for path [%s] with metadata [%s]" % (path, dataset_details)) |
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275 else: |
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276 # Mark uploads as ok because nothing to do. |
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277 final_state = "ok" |
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278 |
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279 ctx.vlog("final state is %s" % final_state) |
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280 if final_state != "ok": |
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281 msg = "Failed to run job final job state is [%s]." % final_state |
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282 summarize_history(ctx, user_gi, history_id) |
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283 with open("errored_galaxy.log", "w") as f: |
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284 f.write(log_contents_str(config)) |
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285 raise Exception(msg) |
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286 |
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287 return job_dict, datasets |
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288 |
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289 |
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290 class GalaxyBaseRunResponse(SuccessfulRunResponse): |
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291 |
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292 def __init__( |
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293 self, |
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294 ctx, |
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295 runnable, |
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296 user_gi, |
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297 history_id, |
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298 log, |
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299 ): |
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300 self._ctx = ctx |
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301 self._runnable = runnable |
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302 self._user_gi = user_gi |
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303 self._history_id = history_id |
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304 self._log = log |
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305 |
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306 self._job_info = None |
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307 |
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308 self._outputs_dict = None |
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309 |
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310 def to_galaxy_output(self, output): |
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311 """Convert runnable output to a GalaxyOutput object. |
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312 |
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313 Subclasses for workflow and tool execution override this. |
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314 """ |
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315 raise NotImplementedError() |
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316 |
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317 def _get_extra_files(self, dataset_details): |
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318 extra_files_url = "%s/%s/contents/%s/extra_files" % ( |
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319 self._user_gi._make_url(self._user_gi.histories), self._history_id, dataset_details["id"] |
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320 ) |
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321 extra_files = Client._get(self._user_gi.jobs, url=extra_files_url) |
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322 return extra_files |
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323 |
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324 def _get_metadata(self, history_content_type, content_id): |
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325 if history_content_type == "dataset": |
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326 return self._user_gi.histories.show_dataset( |
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327 self._history_id, |
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328 content_id, |
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329 ) |
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330 elif history_content_type == "dataset_collection": |
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331 return self._user_gi.histories.show_dataset_collection( |
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332 self._history_id, |
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333 content_id, |
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334 ) |
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335 else: |
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336 raise Exception("Unknown history content type encountered [%s]" % history_content_type) |
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337 |
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338 def collect_outputs(self, ctx, output_directory): |
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339 assert self._outputs_dict is None, "collect_outputs pre-condition violated" |
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340 |
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341 outputs_dict = {} |
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342 if not output_directory: |
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343 # TODO: rather than creating a directory just use |
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344 # Galaxy paths if they are available in this |
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345 # configuration. |
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346 output_directory = tempfile.mkdtemp() |
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347 |
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348 def get_dataset(dataset_details, filename=None): |
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349 parent_basename = dataset_details.get("cwl_file_name") |
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350 if not parent_basename: |
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351 parent_basename = dataset_details.get("name") |
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352 file_ext = dataset_details["file_ext"] |
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353 if file_ext == "directory": |
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354 # TODO: rename output_directory to outputs_directory because we can have output directories |
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355 # and this is confusing... |
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356 the_output_directory = os.path.join(output_directory, parent_basename) |
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357 safe_makedirs(the_output_directory) |
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358 destination = self.download_output_to(dataset_details, the_output_directory, filename=filename) |
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359 else: |
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360 destination = self.download_output_to(dataset_details, output_directory, filename=filename) |
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361 if filename is None: |
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362 basename = parent_basename |
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363 else: |
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364 basename = os.path.basename(filename) |
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365 |
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366 return {"path": destination, "basename": basename} |
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367 |
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368 ctx.vlog("collecting outputs to directory %s" % output_directory) |
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369 for runnable_output in get_outputs(self._runnable): |
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370 output_id = runnable_output.get_id() |
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371 if not output_id: |
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372 ctx.vlog("Workflow output identified without an ID (label), skipping") |
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373 continue |
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374 output_dict_value = None |
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375 if self._runnable.type in [RunnableType.cwl_workflow, RunnableType.cwl_tool]: |
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376 galaxy_output = self.to_galaxy_output(runnable_output) |
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377 cwl_output = output_to_cwl_json( |
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378 galaxy_output, |
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379 self._get_metadata, |
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380 get_dataset, |
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381 self._get_extra_files, |
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382 pseduo_location=True, |
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383 ) |
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384 output_dict_value = cwl_output |
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385 else: |
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386 # TODO: deprecate this route for finding workflow outputs, |
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387 # it is a brittle and bad approach... |
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388 output_dataset_id = self.output_dataset_id(runnable_output) |
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389 dataset = self._get_metadata("dataset", output_dataset_id) |
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390 dataset_dict = get_dataset(dataset) |
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391 ctx.vlog("populated destination [%s]" % dataset_dict["path"]) |
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392 |
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393 if dataset["file_ext"] == "expression.json": |
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394 with open(dataset_dict["path"], "r") as f: |
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395 output_dict_value = json.load(f) |
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396 else: |
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397 output_dict_value = output_properties(**dataset_dict) |
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398 |
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399 outputs_dict[output_id] = output_dict_value |
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400 |
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401 self._outputs_dict = outputs_dict |
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402 ctx.vlog("collected outputs [%s]" % self._outputs_dict) |
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403 |
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404 @property |
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405 def log(self): |
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406 return self._log |
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407 |
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408 @property |
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409 def job_info(self): |
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410 if self._job_info is not None: |
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411 return dict( |
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412 stdout=self._job_info["stdout"], |
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413 stderr=self._job_info["stderr"], |
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414 command_line=self._job_info["command_line"], |
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415 ) |
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416 return None |
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417 |
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418 @property |
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419 def outputs_dict(self): |
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420 return self._outputs_dict |
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421 |
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422 def download_output_to(self, dataset_details, output_directory, filename=None): |
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423 if filename is None: |
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424 local_filename = dataset_details.get("cwl_file_name") or dataset_details.get("name") |
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425 else: |
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426 local_filename = filename |
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427 destination = os.path.join(output_directory, local_filename) |
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428 self._history_content_download( |
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429 self._history_id, |
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430 dataset_details["id"], |
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431 to_path=destination, |
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432 filename=filename, |
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433 ) |
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434 return destination |
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435 |
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436 def _history_content_download(self, history_id, dataset_id, to_path, filename=None): |
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437 user_gi = self._user_gi |
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438 url = user_gi.url + "/histories/%s/contents/%s/display" % (history_id, dataset_id) |
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439 |
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440 data = {} |
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441 if filename: |
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442 data["filename"] = filename |
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443 |
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444 r = requests.get(url, params=data, verify=user_gi.verify, stream=True, timeout=user_gi.timeout) |
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445 r.raise_for_status() |
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446 |
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447 with open(to_path, 'wb') as fp: |
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448 for chunk in r.iter_content(chunk_size=bioblend.CHUNK_SIZE): |
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449 if chunk: |
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450 fp.write(chunk) |
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451 |
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452 |
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453 class GalaxyToolRunResponse(GalaxyBaseRunResponse): |
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454 |
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455 def __init__( |
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456 self, |
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457 ctx, |
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458 runnable, |
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459 user_gi, |
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460 history_id, |
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461 log, |
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462 job_info, |
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463 api_run_response, |
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464 ): |
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465 super(GalaxyToolRunResponse, self).__init__( |
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466 ctx=ctx, |
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467 runnable=runnable, |
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468 user_gi=user_gi, |
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469 history_id=history_id, |
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470 log=log, |
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471 ) |
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472 self._job_info = job_info |
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473 self.api_run_response = api_run_response |
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474 |
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475 def is_collection(self, output): |
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476 # TODO: Make this more rigorous - search both output and output |
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477 # collections - throw an exception if not found in either place instead |
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478 # of just assuming all non-datasets are collections. |
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479 return self.output_dataset_id(output) is None |
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480 |
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481 def to_galaxy_output(self, runnable_output): |
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482 output_id = runnable_output.get_id() |
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483 return tool_response_to_output(self.api_run_response, self._history_id, output_id) |
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484 |
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485 def output_dataset_id(self, output): |
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486 outputs = self.api_run_response["outputs"] |
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487 output_id = output.get_id() |
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488 output_dataset_id = None |
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489 self._ctx.vlog("Looking for id [%s] in outputs [%s]" % (output_id, outputs)) |
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490 for output in outputs: |
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491 if output["output_name"] == output_id: |
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492 output_dataset_id = output["id"] |
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493 |
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494 return output_dataset_id |
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495 |
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496 |
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497 class GalaxyWorkflowRunResponse(GalaxyBaseRunResponse): |
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498 |
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499 def __init__( |
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500 self, |
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501 ctx, |
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502 runnable, |
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503 user_gi, |
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504 history_id, |
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505 log, |
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506 workflow_id, |
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507 invocation_id, |
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508 ): |
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509 super(GalaxyWorkflowRunResponse, self).__init__( |
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510 ctx=ctx, |
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511 runnable=runnable, |
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512 user_gi=user_gi, |
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513 history_id=history_id, |
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514 log=log, |
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515 ) |
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516 self._workflow_id = workflow_id |
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517 self._invocation_id = invocation_id |
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518 |
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519 def to_galaxy_output(self, runnable_output): |
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520 output_id = runnable_output.get_id() |
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521 self._ctx.vlog("checking for output in invocation [%s]" % self._invocation) |
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522 return invocation_to_output(self._invocation, self._history_id, output_id) |
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523 |
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524 def output_dataset_id(self, output): |
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525 invocation = self._invocation |
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526 if "outputs" in invocation: |
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527 # Use newer workflow outputs API. |
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528 |
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529 output_name = output.get_id() |
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530 if output_name in invocation["outputs"]: |
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531 return invocation["outputs"][output.get_id()]["id"] |
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532 else: |
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533 raise Exception("Failed to find output [%s] in invocation outputs [%s]" % (output_name, invocation["outputs"])) |
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534 else: |
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535 # Assume the output knows its order_index and such - older line of |
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536 # development not worth persuing. |
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537 workflow_output = output.workflow_output |
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538 order_index = workflow_output.order_index |
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539 |
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540 invocation_steps = invocation["steps"] |
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541 output_steps = [s for s in invocation_steps if s["order_index"] == order_index] |
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542 assert len(output_steps) == 1, "More than one step matching outputs, behavior undefined." |
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543 output_step = output_steps[0] |
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544 job_id = output_step["job_id"] |
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545 assert job_id, "Output doesn't define a job_id, behavior undefined." |
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546 job_info = self._user_gi.jobs.show_job(job_id, full_details=True) |
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547 job_outputs = job_info["outputs"] |
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548 output_name = workflow_output.output_name |
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549 assert output_name in job_outputs, "No output [%s] found for output job." |
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550 job_output = job_outputs[output_name] |
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551 assert "id" in job_output, "Job output [%s] does not contain 'id'." % job_output |
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552 return job_output["id"] |
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553 |
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554 @property |
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555 def _invocation(self): |
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556 invocation = self._user_gi.workflows.show_invocation( |
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557 self._workflow_id, |
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558 self._invocation_id, |
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559 ) |
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560 return invocation |
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561 |
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562 |
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563 def _tool_id(tool_path): |
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564 tool_source = get_tool_source(tool_path) |
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565 return tool_source.parse_id() |
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566 |
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567 |
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568 def _history_id(gi, **kwds): |
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569 history_id = kwds.get("history_id", None) |
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570 if history_id is None: |
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571 history_name = kwds.get("history_name", DEFAULT_HISTORY_NAME) |
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572 history_id = gi.histories.create_history(history_name)["id"] |
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573 return history_id |
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574 |
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575 |
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576 def _wait_for_invocation(ctx, gi, history_id, workflow_id, invocation_id, polling_backoff=0): |
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577 |
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578 def state_func(): |
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579 if _retry_on_timeouts(ctx, gi, lambda gi: has_jobs_in_states(gi, history_id, ["error", "deleted", "deleted_new"])): |
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580 raise Exception("Problem running workflow, one or more jobs failed.") |
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581 |
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582 return _retry_on_timeouts(ctx, gi, lambda gi: gi.workflows.show_invocation(workflow_id, invocation_id)) |
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583 |
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584 return _wait_on_state(state_func, polling_backoff) |
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585 |
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586 |
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587 def _retry_on_timeouts(ctx, gi, f): |
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588 gi.timeout = 60 |
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589 try_count = 5 |
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590 try: |
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591 for try_num in range(try_count): |
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592 start_time = time.time() |
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593 try: |
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594 return f(gi) |
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595 except Exception: |
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596 end_time = time.time() |
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597 if end_time - start_time > 45 and (try_num + 1) < try_count: |
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598 ctx.vlog("Galaxy seems to have timedout, retrying to fetch status.") |
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599 continue |
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600 else: |
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601 raise |
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602 finally: |
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603 gi.timeout = None |
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604 |
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605 |
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606 def has_jobs_in_states(gi, history_id, states): |
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607 params = {"history_id": history_id} |
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608 jobs_url = gi._make_url(gi.jobs) |
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609 jobs = Client._get(gi.jobs, params=params, url=jobs_url) |
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610 |
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611 target_jobs = [j for j in jobs if j["state"] in states] |
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612 |
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613 return len(target_jobs) > 0 |
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614 |
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615 |
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616 def _wait_for_history(ctx, gi, history_id, polling_backoff=0): |
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617 |
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618 def has_active_jobs(gi): |
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619 if has_jobs_in_states(gi, history_id, ["new", "upload", "waiting", "queued", "running"]): |
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620 return True |
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621 else: |
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622 return None |
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623 |
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624 timeout = 60 * 60 * 24 |
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625 wait_on(lambda: _retry_on_timeouts(ctx, gi, has_active_jobs), "active jobs", timeout, polling_backoff) |
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626 |
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627 def state_func(): |
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628 return _retry_on_timeouts(ctx, gi, lambda gi: gi.histories.show_history(history_id)) |
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629 |
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630 return _wait_on_state(state_func, polling_backoff) |
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631 |
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632 |
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633 def _wait_for_job(gi, job_id): |
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634 def state_func(): |
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635 return gi.jobs.show_job(job_id, full_details=True) |
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636 |
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637 return _wait_on_state(state_func) |
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638 |
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639 |
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640 def _wait_on_state(state_func, polling_backoff=0): |
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641 |
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642 def get_state(): |
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643 response = state_func() |
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644 state = response["state"] |
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645 if str(state) not in ["running", "queued", "new", "ready"]: |
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646 return state |
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647 else: |
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648 return None |
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649 timeout = 60 * 60 * 24 |
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650 final_state = wait_on(get_state, "state", timeout, polling_backoff) |
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651 return final_state |
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652 |
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653 |
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654 __all__ = ( |
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655 "execute", |
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656 ) |