def take_action(self, parsed_args):
api = memsource_cli.AnalysisApi(self.app.client)
args = {}
for k, v in vars(parsed_args).items():
if v is not None:
args[k] = v
_job_ids = []
for i in parsed_args.jobs:
_job_ids.append({'uid': i})
args['jobs'] = _job_ids
response = api.create_analyse_async(
token=self.app.client.configuration.token, body=args)
column_headers = [
'analyse', 'id', 'created_by', 'date_created', 'action',
'async_response', 'parent', 'project'
]
data = []
output = response.to_dict()
data += [(json.dumps(output['analyse']))]
content = output['async_request']
for k, v in content.items():
if isinstance(v, datetime.datetime):
v = json.dumps(v, default=str).replace('"', '')
if isinstance(v, dict):
v = json.dumps(v)
data += [(v)]
return ((column_headers), (data))
def take_action(self, parsed_args):
api = memsource_cli.AnalysisApi(self.app.client)
args = {}
for k, v in vars(parsed_args).items():
if v is not None:
args[k] = v
_job_ids = []
for i in parsed_args.jobs:
_job_ids.append({'uid': i})
args['jobs'] = _job_ids
response = api.create_analyses_for_langs(
token=self.app.client.configuration.token, body=args)
output = response.to_dict()
return (('id', 'analyse_id', 'action', 'date_created', 'project_uid',
'project_name', 'created_by'),
((output['analyses'][i]['async_request']['id'],
output['analyses'][i]['analyse']['id'],
output['analyses'][i]['async_request']['action'],
json.dumps(
output['analyses'][i]['async_request']['date_created'],
default=str).replace('"', ''),
output['analyses'][i]['async_request']['project']['uid'],
output['analyses'][i]['async_request']['project']['name'],
json.dumps(
output['analyses'][i]['async_request']['created_by']))
for i in range(0, len(output['analyses']))))
def take_action(self, parsed_args):
api = memsource_cli.AnalysisApi(self.app.client)
response = api.list_by_project_v2(token=self.app.client.configuration.token,
project_uid=parsed_args.project_uid,
page_size=parsed_args.page_size,
page_number=parsed_args.page_number)
response = response.to_dict()
return(('id',
'name',
'jobs',
'provider',
'type',
'date_created',
'source_lang',
'target_lang'
), (
(response['content'][i]['id'],
response['content'][i]['name'],
json.dumps(response['content'][i]['analyse_language_parts']
[j]['jobs']),
response['content'][i]['provider'],
response['content'][i]['type'],
json.dumps(response['content'][i]['date_created'],
default=str).replace('"', ''),
response['content'][i]['analyse_language_parts']
[j]['source_lang'],
response['content'][i]['analyse_language_parts']
[j]['target_lang']
)
for i in range(0, len(response['content']))
for j in range(0, len(response['content'][i]
['analyse_language_parts'])))
)
def take_action(self, parsed_args):
api = memsource_cli.AnalysisApi(self.app.client)
response = api.get_analyse_v2(
token=self.app.client.configuration.token,
analyse_id=parsed_args.analyse_id)
column_headers = [
'jobs', 'netrate', 'all', 'source_lang', 'target_lang'
]
data = []
output = response.to_dict()
content = output['analyse_language_parts']
for j in range(0, len(content)):
if content[j]['discounted_data'] is not None:
discounted_data = content[j]['discounted_data']['all']['words']
else:
discounted_data = None
data += [(content[j]['jobs'], discounted_data,
content[j]['data']['all']['words'],
content[j]['source_lang'], content[j]['target_lang'])]
return ((column_headers), (data))
def take_action(self, parsed_args):
api = memsource_cli.AnalysisApi(self.app.client)
api.delete(token=self.app.client.configuration.token,
analyse_id=parsed_args.analyse_id,
purge=parsed_args.purge)