def test_pipeline(name, data=None, url=None):
try:
pipe = search_pipeline(name)
p = Pipeline(name=pipe.name,
input=pipe.input,
output=pipe.output,
description=pipe.description,
processors=json.loads(pipe.processors),
encoder=json.loads(pipe.encoder))
return {"result": run_pipeline(p, data=data, url=url)}
except Exception as e:
raise e
def pipeline_detail(name):
try:
p = search_pipeline(name)
if not p:
raise NotExistError("pipeline %s is not exist" % name, "")
pipe = Pipeline(name=p.name,
input=p.input,
output=p.output,
description=p.description,
processors=json.loads(p.processors),
encoder=json.loads(p.encoder))
return pipe
except Exception as e:
raise e
def all_pipelines():
res = []
try:
pipelines = search_pipeline()
for p in pipelines:
pipe = Pipeline(name=p.Pipeline.name,
input=p.Pipeline.input,
output=p.Pipeline.output,
description=p.Pipeline.description,
processors=json.loads(p.Pipeline.processors),
encoder=json.loads(p.Pipeline.encoder))
res.append(pipe)
return res
except Exception as e:
logger.error(e)
raise e
def _all_pipelines():
res = []
try:
pipelines = search_pipeline()
for p in pipelines:
pipe = Pipeline(name=p.Pipeline.name,
input=p.Pipeline.input,
output=p.Pipeline.output,
dimension=p.Pipeline.dimension,
index_file_size=p.Pipeline.index_file_size,
metric_type=p.Pipeline.metric_type,
description=p.Pipeline.description,
processors=p.Pipeline.processors.split(","),
encoder=p.Pipeline.encoder)
res.append(pipe)
return res
except Exception as e:
raise e
def pipeline_detail(name):
try:
p = search_pipeline(name)
if not p:
raise NotExistError("pipeline %s is not exist" % name, "")
if not p.processors:
pr = []
else:
pr = p.processors.split(",")
pipe = Pipeline(name=p.name,
input=p.input,
output=p.output,
dimension=p.dimension,
index_file_size=p.index_file_size,
metric_type=p.metric_type,
description=p.description,
processors=pr,
encoder=p.encoder)
return pipe
except Exception as e:
raise e
