def get_data_flow_results(info_str=None):
"""Ask a TA2 to GetDataflowResults via gRPC"""
if info_str is None:
err_msg = 'UI Str for PipelineReference is None'
return get_failed_precondition_response(err_msg)
# --------------------------------
# Is this valid JSON?
# --------------------------------
try:
raven_dict = json.loads(info_str, object_pairs_hook=OrderedDict)
except json.decoder.JSONDecodeError as err_obj:
err_msg = 'Failed to convert UI Str to JSON: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
# --------------------------------
# convert the JSON string to a gRPC request
# --------------------------------
try:
req = Parse(info_str, dataflow_ext_pb2.PipelineReference())
except ParseError as err_obj:
err_msg = 'Failed to convert JSON to gRPC: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
# In test mode, return canned response
#
if settings.TA2_STATIC_TEST_MODE:
info_dict = dict(pipelineId=raven_dict.get('pipelineId'))
return get_grpc_test_json(
'test_responses/get_dataflow_results_ok.json', info_dict)
# --------------------------------
# Get the connection, return an error if there are channel issues
# --------------------------------
dataflow_stub, err_msg = TA2Connection.get_grpc_dataflow_stub()
if err_msg:
return get_failed_precondition_sess_response(err_msg)
# --------------------------------
# Send the gRPC request
# --------------------------------
try:
reply = dataflow_stub.GetDataflowResults(req)
except Exception as ex:
return get_failed_precondition_response(str(ex))
if reply and str(reply) == VAL_GRPC_STATE_CODE_NONE:
err_msg = ('Unkown gRPC state.'
' (Was an GetDataflowResults request sent?)')
return get_failed_precondition_response(err_msg)
# --------------------------------
# Convert the reply to JSON and send it on
# --------------------------------
results = map(MessageToJson, reply)
result_str = '[' + ', '.join(results) + ']'
return result_str
def set_problem_doc(info_str=None):
"""
SetProblemDocRequest={"ReplaceProblemDocField":{"metric":"ROC_AUC"}}
Accept UI input as JSON *string* similar to
{"context": {"session_id": "session_0"}, "ReplaceProblemDocField": {"metric": "ACCURACY", "taskType": "CLASSIFICATION"}}
"""
if info_str is None:
info_str = get_test_info_str()
if info_str is None:
err_msg = 'UI Str for SetProblemDoc is None'
return get_failed_precondition_response(err_msg)
# --------------------------------
# Convert info string to dict
# --------------------------------
try:
info_dict = json.loads(info_str, object_pairs_hook=OrderedDict)
except json.decoder.JSONDecodeError as err_obj:
err_msg = 'Failed to convert UI Str to JSON: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
#content = json.dumps(info_dict)
# --------------------------------
# convert the JSON string to a gRPC request
# --------------------------------
try:
req = Parse(info_str, core_pb2.SetProblemDocRequest())
except ParseError as err_obj:
err_msg = 'Failed to convert JSON to gRPC: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
if settings.TA2_STATIC_TEST_MODE:
return get_grpc_test_json('test_responses/set_problem_doc_ok.json',
dict())
# --------------------------------
# Get the connection, return an error if there are channel issues
# --------------------------------
core_stub, err_msg = TA2Connection.get_grpc_stub()
if err_msg:
return get_failed_precondition_response(err_msg)
# --------------------------------
# Send the gRPC request
# --------------------------------
try:
reply = core_stub.SetProblemDoc(req)
except Exception as ex:
return get_failed_precondition_response(str(ex))
# --------------------------------
# Convert the reply to JSON and send it on
# --------------------------------
return MessageToJson(reply)
def end_session(raven_json_str):
"""end session command
This command needs a session id from the start_session cmd
e.g. string: '{"session_id" : "123556"}'
"""
# The UI has sent JSON in string format that contains the session_id
try:
raven_dict = json.loads(raven_json_str)
except json.decoder.JSONDecodeError as err_obj:
err_msg = 'Failed to convert UI Str to JSON for end_session: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
# The protocol version always comes from the latest
# version we have in the repo (just copied in for now)
#
if not 'session_id' in raven_dict:
err_msg = 'No session_id found: %s' % (raven_json_str)
return get_failed_precondition_response(err_msg)
# --------------------------------
# Convert back to string for TA2 call
# --------------------------------
content = json.dumps(raven_dict)
# --------------------------------
# convert the JSON string to a gRPC request
# --------------------------------
try:
req = Parse(content, core_pb2.SessionContext())
except ParseError as err_obj:
err_msg = 'Failed to convert JSON to gRPC: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
# --------------------------------
# Get the connection, return an error if there are channel issues
# --------------------------------
core_stub, err_msg = TA2Connection.get_grpc_stub()
if err_msg:
return get_failed_precondition_response(err_msg)
#return dict(status=core_pb2.FAILED_PRECONDITION,
# details=err_msg)
# --------------------------------
# Send the gRPC request
# --------------------------------
try:
reply = core_stub.EndSession(req)
except Exception as ex:
return get_failed_precondition_response(str(ex))
# --------------------------------
# Convert the reply to JSON and send it back
# --------------------------------
return MessageToJson(reply)
def delete_pipelines(info_str):
"""Ask a TA2 to DeletePipelines via gRPC"""
if info_str is None:
info_str = get_test_info_str()
if info_str is None:
err_msg = 'UI Str for DeletePipelines is None'
return get_failed_precondition_response(err_msg)
# --------------------------------
# Is this valid JSON?
# --------------------------------
try:
info_dict = json.loads(info_str, object_pairs_hook=OrderedDict)
except json.decoder.JSONDecodeError as err_obj:
err_msg = 'Failed to convert UI Str to JSON: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
# --------------------------------
# convert the JSON string to a gRPC request
# --------------------------------
try:
req = Parse(info_str, core_pb2.PipelineDeleteRequest())
except ParseError as err_obj:
err_msg = 'Failed to convert JSON to gRPC: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
if settings.TA2_STATIC_TEST_MODE:
return get_grpc_test_json('test_responses/list_pipelines_ok.json',
dict())
# --------------------------------
# Get the connection, return an error if there are channel issues
# --------------------------------
core_stub, err_msg = TA2Connection.get_grpc_stub()
if err_msg:
return get_failed_precondition_response(err_msg)
# --------------------------------
# Send the gRPC request - returns a stream
# --------------------------------
try:
reply = core_stub.DeletePipelines(req)
except Exception as ex:
return get_failed_precondition_response(str(ex))
# --------------------------------
# Convert the reply to JSON and send it back
# --------------------------------
return MessageToJson(reply)
def execute_pipeline(info_str=None):
"""Ask a TA2 to ListPipelines via gRPC
This call is a bit different b/c it writes part of the data to a file
and places that file uri into the original request
Success: (updated request str, grpc json response)
Failure: (None, error message)
"""
if info_str is None:
info_str = get_test_info_str()
if info_str is None:
err_msg = 'UI Str for PipelineListResult is None'
return None, get_failed_precondition_response(err_msg)
if info_str.find(VAL_DATA_URI) == -1:
err_msg = ('Expected to see place holder for file uri.'
' Placeholder is "%s"') % VAL_DATA_URI
return None, get_failed_precondition_response(err_msg)
d3m_config = get_latest_d3m_config()
if not d3m_config:
err_msg = ('The D3M configuration is not available.'
' Therefore, there is no "temp_storage_root" directory to'
' write the data.')
return None, get_failed_precondition_response(err_msg)
# --------------------------------
# Is this valid JSON?
# --------------------------------
try:
info_dict = json.loads(info_str, object_pairs_hook=OrderedDict)
except json.decoder.JSONDecodeError as err_obj:
err_msg = 'Failed to convert UI Str to JSON: %s' % (err_obj)
return None, get_failed_precondition_response(err_msg)
if not KEY_DATA in info_dict:
err_msg = ('The JSON request did not contain a "%s" key.') % KEY_DATA
return None, get_failed_precondition_response(err_msg)
file_uri, err_msg = write_data_for_execute_pipeline(
d3m_config, info_dict[KEY_DATA])
if err_msg is not None:
return None, get_failed_precondition_response(err_msg)
# Reformat the original content
#
# (1) remove the data key
if KEY_DATA in info_dict:
del info_dict[KEY_DATA]
# (2) convert it back to a JSON string
info_str = json.dumps(info_dict)
# (3) replace the VAL_DATA_URI with the file_uri
info_str_formatted = info_str.replace(VAL_DATA_URI, file_uri)
# --------------------------------
# convert the JSON string to a gRPC request
# --------------------------------
try:
req = Parse(info_str_formatted, core_pb2.PipelineExecuteRequest())
except ParseError as err_obj:
err_msg = 'Failed to convert JSON to gRPC: %s' % (err_obj)
return None, get_failed_precondition_response(err_msg)
if settings.TA2_STATIC_TEST_MODE:
#return info_str_formatted,\
# get_grpc_test_json('test_responses/execute_results_1pipe_ok.json',
# dict())
#---
template_info = get_predict_file_info_dict()
template_str = get_grpc_test_json(
'test_responses/execute_results_1pipe_ok.json', template_info)
# These next lines embed file uri content into the JSON
embed_util = FileEmbedUtil(template_str)
if embed_util.has_error:
return get_failed_precondition_response(embed_util.error_message)
test_note = ('Test. An actual result would be the test JSON with'
' the "data" section removed and DATA_URI replaced'
' with a file path to where the "data" section was'
' written.')
return json.dumps(dict(note=test_note)), embed_util.get_final_results()
#---
#return info_str_formatted,\
# get_grpc_test_json('test_responses/execute_results_1pipe_ok.json',
# dict())
# --------------------------------
# Get the connection, return an error if there are channel issues
# --------------------------------
core_stub, err_msg = TA2Connection.get_grpc_stub()
if err_msg:
return None, get_failed_precondition_response(err_msg)
# --------------------------------
# Send the gRPC request - returns a stream
# --------------------------------
try:
reply = core_stub.ExecutePipeline(req)
except Exception as ex:
return None, get_failed_precondition_response(str(ex))
# --------------------------------
# Convert the reply to JSON and send it on
# --------------------------------
results = map(MessageToJson, reply)
result_str = '[' + ', '.join(results) + ']'
embed_util = FileEmbedUtil(result_str)
if embed_util.has_error:
return get_failed_precondition_response(embed_util.error_message)
return info_str_formatted, embed_util.get_final_results()
def export_pipeline(info_str=None, call_entry=None):
"""Ask a TA2 to ExportPipeline via gRPC"""
if info_str is None:
info_str = get_test_info_str()
if info_str is None:
err_msg = 'UI Str for ExportPipeline is None'
return get_failed_precondition_response(err_msg)
if info_str.find(VAL_EXECUTABLE_URI) == -1:
err_msg = ('Expected to see place holder for executable uri.'
' Placeholder is "%s"') % VAL_EXECUTABLE_URI
return None, get_failed_precondition_response(err_msg)
d3m_config = get_latest_d3m_config()
if not d3m_config:
err_msg = ('The D3M configuration is not available.'
' Therefore, there is no "executables_root" directory to'
' write the data.')
return None, get_failed_precondition_response(err_msg)
# --------------------------------
# Is this valid JSON?
# --------------------------------
try:
info_dict = json.loads(info_str, object_pairs_hook=OrderedDict)
except json.decoder.JSONDecodeError as err_obj:
err_msg = 'Failed to convert UI Str to JSON: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
# --------------------------------
# Construct and set a write directory for the executable
# --------------------------------
# get the pipeline id
pipeline_id, err_msg = get_pipeline_id(info_dict)
if err_msg:
return get_failed_precondition_response(err_msg)
# dir = d3m_config.executables_root + pipeline_id
executable_write_dir = join('file://%s' % d3m_config.executables_root,
pipeline_id)
# update the dict + info_str
info_dict[KEY_PIPELINE_EXEC_URI] = executable_write_dir
if KEY_PIPELINE_EXEC_URI_FROM_UI in info_dict:
del info_dict[KEY_PIPELINE_EXEC_URI_FROM_UI]
try:
info_str = json.dumps(info_dict)
except TypeError as ex_obj:
err_msg = 'Failed to PipelineExportRequest info to JSON: %s' % ex_obj
return get_failed_precondition_response(err_msg)
#print('info_str', info_str)
if call_entry:
call_entry.request_msg = info_str
# --------------------------------
# convert the JSON string to a gRPC request
# --------------------------------
try:
req = Parse(info_str, core_pb2.PipelineExportRequest())
except ParseError as err_obj:
err_msg = 'Failed to convert JSON to gRPC: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
if settings.TA2_STATIC_TEST_MODE:
return get_grpc_test_json('test_responses/export_pipeline_ok.json',
dict())
# --------------------------------
# Get the connection, return an error if there are channel issues
# --------------------------------
core_stub, err_msg = TA2Connection.get_grpc_stub()
if err_msg:
return get_failed_precondition_response(err_msg)
# --------------------------------
# Send the gRPC request - returns a stream
# --------------------------------
try:
reply = core_stub.ExportPipeline(req)
except Exception as ex:
return get_failed_precondition_response(str(ex))
# --------------------------------
# Convert the reply to JSON and send it back
# --------------------------------
return MessageToJson(reply)
def get_execute_pipeline_results(info_str=None):
"""Ask a TA2 to GetExecutePipelineResults via gRPC"""
if info_str is None:
info_str = get_test_info_str()
if info_str is None:
err_msg = 'UI Str for PipelineExecuteResultsRequest is None'
return get_failed_precondition_response(err_msg)
# --------------------------------
# Is this valid JSON?
# --------------------------------
try:
info_dict = json.loads(info_str, object_pairs_hook=OrderedDict)
except json.decoder.JSONDecodeError as err_obj:
err_msg = 'Failed to convert UI Str to JSON: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
# --------------------------------
# convert the JSON string to a gRPC request
# --------------------------------
try:
req = Parse(info_str, core_pb2.PipelineExecuteResultsRequest())
except ParseError as err_obj:
err_msg = 'Failed to convert JSON to gRPC: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
if settings.TA2_STATIC_TEST_MODE:
template_info = get_predict_file_info_dict()
template_str = get_grpc_test_json(
'test_responses/execute_results_ok.json', template_info)
embed_util = FileEmbedUtil(template_str)
if embed_util.has_error:
return get_failed_precondition_response(embed_util.error_message)
return embed_util.get_final_results()
#return get_grpc_test_json('test_responses/execute_results_ok.json',
# dict())
# --------------------------------
# Get the connection, return an error if there are channel issues
# --------------------------------
core_stub, err_msg = TA2Connection.get_grpc_stub()
if err_msg:
return get_failed_precondition_response(err_msg)
#print('req: %s' % req)
# --------------------------------
# Send the gRPC request - returns a stream
# --------------------------------
try:
reply = core_stub.GetExecutePipelineResults(req)
except grpc.RpcError as ex:
return get_failed_precondition_response(str(ex))
except Exception as ex:
return get_failed_precondition_response(str(ex))
#print('reply', reply)
"""
if reply and str(reply) == VAL_GRPC_STATE_CODE_NONE:
err_msg = ('Unknown gRPC state.'
' (Was an ExecutePipeline request sent?)')
return get_failed_precondition_response(err_msg)
"""
try:
print(MessageToJson(reply))
except:
print('failed unary convert to JSON')
#print('reply: %s' % reply)
# --------------------------------
# Convert the reply to JSON and send it on
# --------------------------------
results = map(MessageToJson, reply)
result_str = '[' + ', '.join(results) + ']'
embed_util = FileEmbedUtil(result_str)
if embed_util.has_error:
return get_failed_precondition_response(embed_util.error_message)
return embed_util.get_final_results()
def pipeline_create(info_str=None):
"""Send the pipeline create request via gRPC"""
if info_str is None:
info_str = get_test_info_str()
if info_str is None:
err_msg = 'UI Str for %s is None' % PIPELINE_CREATE_REQUEST
return get_failed_precondition_response(err_msg)
# --------------------------------
# Convert info string to dict
# --------------------------------
try:
info_dict = json.loads(info_str, object_pairs_hook=OrderedDict)
except json.decoder.JSONDecodeError as err_obj:
err_msg = 'Failed to convert UI Str to JSON: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
if KEY_CONTEXT_FROM_UI not in info_dict:
return get_failed_precondition_response(ERR_NO_CONTEXT)
if KEY_SESSION_ID_FROM_UI not in info_dict[KEY_CONTEXT_FROM_UI]:
return get_failed_precondition_response(ERR_NO_SESSION_ID)
# --------------------------------
# convert the JSON string to a gRPC request
# --------------------------------
try:
req = Parse(info_str, core_pb2.PipelineCreateRequest())
except ParseError as err_obj:
err_msg = 'Failed to convert JSON to gRPC: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
if settings.TA2_STATIC_TEST_MODE:
template_info = get_predict_file_info_dict(info_dict.get('task'))
template_str = get_grpc_test_json('test_responses/createpipeline_ok.json',
template_info)
# These next lines embed file uri content into the JSON
embed_util = FileEmbedUtil(template_str)
if embed_util.has_error:
return get_failed_precondition_response(embed_util.error_message)
return embed_util.get_final_results()
#return get_grpc_test_json('test_responses/createpipeline_ok.json',
# template_info)
# --------------------------------
# Get the connection, return an error if there are channel issues
# --------------------------------
core_stub, err_msg = TA2Connection.get_grpc_stub()
if err_msg:
return get_failed_precondition_response(err_msg)
# --------------------------------
# Send the gRPC request
# --------------------------------
messages = []
try:
for reply in core_stub.CreatePipelines(req):
user_msg = MessageToJson(reply)
print(user_msg)
messages.append(user_msg)
except Exception as ex:
return get_reply_exception_response(str(ex))
print('end of queue. make message list')
result_str = '['+', '.join(messages)+']'
print('embed file contents')
embed_util = FileEmbedUtil(result_str)
if embed_util.has_error:
print('file embed error')
return get_failed_precondition_response(embed_util.error_message)
print('return results')
return embed_util.get_final_results()
def get_create_pipeline_results(info_str=None):
"""Send the pipeline create request via gRPC"""
if info_str is None:
info_str = get_test_info_str()
if info_str is None:
err_msg = 'UI Str for %s is None' % PIPELINE_CREATE_RESULTS_REQUEST
return get_failed_precondition_response(err_msg)
# --------------------------------
# Convert info string to dict
# --------------------------------
try:
info_dict = json.loads(info_str, object_pairs_hook=OrderedDict)
except json.decoder.JSONDecodeError as err_obj:
err_msg = 'Failed to convert UI Str to JSON: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
if KEY_CONTEXT_FROM_UI not in info_dict:
return get_failed_precondition_response(ERR_NO_CONTEXT)
# --------------------------------
# convert the JSON string to a gRPC request
# --------------------------------
try:
req = Parse(info_str, core_pb2.PipelineCreateResultsRequest())
except ParseError as err_obj:
err_msg = 'Failed to convert JSON to gRPC: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
if settings.TA2_STATIC_TEST_MODE:
template_info = get_predict_file_info_dict(info_dict.get('task'))
template_str = get_grpc_test_json(
'test_responses/createpipeline_ok.json', template_info)
# These next lines embed file uri content into the JSON
embed_util = FileEmbedUtil(template_str)
if embed_util.has_error:
return get_failed_precondition_response(embed_util.error_message)
return embed_util.get_final_results()
#return get_grpc_test_json('test_responses/createpipeline_ok.json',
# template_info)
# --------------------------------
# Get the connection, return an error if there are channel issues
# --------------------------------
core_stub, err_msg = TA2Connection.get_grpc_stub()
if err_msg:
return get_failed_precondition_response(err_msg)
# --------------------------------
# Send the gRPC request
# --------------------------------
try:
reply = core_stub.GetCreatePipelineResults(req)
except Exception as ex:
return get_failed_precondition_response(str(ex))
try:
print(MessageToJson(reply))
except:
print('failed unary convert to JSON')
# --------------------------------
# Convert the reply to JSON and send it on
# --------------------------------
results = map(MessageToJson, reply)
result_str = '[' + ', '.join(results) + ']'
embed_util = FileEmbedUtil(result_str)
if embed_util.has_error:
return get_failed_precondition_response(embed_util.error_message)
return embed_util.get_final_results()
def update_problem_schema(info_str=None):
"""
Accept UI input as JSON *string* similar to
{"taskType" : "REGRESSION",
"taskSubtype" : "TASK_SUBTYPE_UNDEFINED",
"outputType" : "REAL",
"metric" : "ROOT_MEAN_SQUARED_ERROR"}
"""
if info_str is None:
info_str = get_test_info_str()
if info_str is None:
err_msg = 'UI Str for UpdateProblemSchema is None'
return get_failed_precondition_response(err_msg)
# --------------------------------
# Convert info string to dict
# --------------------------------
try:
info_dict = json.loads(info_str)
except json.decoder.JSONDecodeError as err_obj:
err_msg = 'Failed to convert UI Str to JSON: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
# --------------------------------
# create UpdateProblemSchemaRequest compatible JSON
# --------------------------------
updates_list = []
for key, val in info_dict.items():
updates_list.append({key : val})
final_dict = dict(updates=updates_list)
content = json.dumps(final_dict)
# --------------------------------
# convert the JSON string to a gRPC request
# --------------------------------
try:
req = Parse(content, core_pb2.UpdateProblemSchemaRequest())
except ParseError as err_obj:
err_msg = 'Failed to convert JSON to gRPC: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
# --------------------------------
# Get the connection, return an error if there are channel issues
# --------------------------------
core_stub, err_msg = TA2Connection.get_grpc_stub()
if err_msg:
return get_failed_precondition_response(err_msg)
# --------------------------------
# Send the gRPC request
# --------------------------------
try:
reply = core_stub.UpdateProblemSchema(req)
except Exception as ex:
return get_failed_precondition_response(str(ex))
# --------------------------------
# Convert the reply to JSON and send it on
# --------------------------------
return MessageToJson(reply)
def end_session(raven_json_str):
"""end session command
This command needs a session id from the start_session cmd
e.g. string: '{"session_id" : "123556"}'
"""
# The UI has sent JSON in string format that contains the session_id
try:
raven_dict = json.loads(raven_json_str)
except json.decoder.JSONDecodeError as err_obj:
err_msg = 'Failed to convert UI Str to JSON for end_session: %s' % (
err_obj)
return get_failed_precondition_response(err_msg)
# The protocol version always comes from the latest
# version we have in the repo (just copied in for now)
#
if not KEY_SESSION_ID_FROM_UI in raven_dict:
return get_failed_precondition_response(ERR_NO_SESSION_ID)
# --------------------------------
# Convert back to string for TA2 call
# --------------------------------
content = json.dumps(raven_dict)
# --------------------------------
# convert the JSON string to a gRPC request
# --------------------------------
try:
req = Parse(content, core_pb2.SessionContext())
except ParseError as err_obj:
err_msg = 'Failed to convert JSON to gRPC: %s' % (err_obj)
return get_failed_precondition_response(err_msg)
# In test mode, check if the incoming JSON is legit (in line above)
# -- then return canned response below
#
if settings.TA2_STATIC_TEST_MODE:
rnd_session_id = random_info.get_alphanumeric_string(7)
tinfo = dict(session_id=rnd_session_id)
#if random.randint(1, 3) == 3:
# return get_grpc_test_json('test_responses/endsession_badassertion.json')
return get_grpc_test_json('test_responses/endsession_ok.json', tinfo)
if settings.TA2_STATIC_TEST_MODE:
rnd_session_id = random_info.get_alphanumeric_string(7)
tinfo = dict(session_id=rnd_session_id)
if random.randint(1, 3) == 3:
return get_grpc_test_json(
request, 'test_responses/endsession_badassertion.json')
return get_grpc_test_json(request, 'test_responses/endsession_ok.json',
tinfo)
# --------------------------------
# Get the connection, return an error if there are channel issues
# --------------------------------
core_stub, err_msg = TA2Connection.get_grpc_stub()
if err_msg:
return get_failed_precondition_response(err_msg)
# --------------------------------
# Send the gRPC request
# --------------------------------
try:
reply = core_stub.EndSession(req)
except Exception as ex:
return get_failed_precondition_response(str(ex))
# --------------------------------
# Convert the reply to JSON and send it back
# --------------------------------
return MessageToJson(reply)