def test_find_artifact(self):
backend = LocalArtifactBackend(config={"path": "./test_storage/"})
artifact = Artifact(self.stage_config)
payload = "SHRIM"
artifact.item = Item(payload="SHRIM")
backend.save_artifact(artifact)
loaded_artifact = backend._find_cached_artifact(artifact)
# Ensure that we found the artifact
self.assertNotEqual(None, loaded_artifact)
# Ensure that the artifact doesn't have a payload
self.assertNotEqual(None, loaded_artifact.item)
self.assertEqual(None, loaded_artifact.item.payload)
# Ensure that meta properties are correctly set on artifact
self.assertEqual(loaded_artifact._specific_hash,
artifact._specific_hash)
self.assertEqual(loaded_artifact._dependency_hash,
artifact._dependency_hash)
self.assertEqual(loaded_artifact._definition_hash,
artifact._definition_hash)
self.assertEqual(loaded_artifact._pipeline_stage,
artifact._pipeline_stage)
self.assertEqual(loaded_artifact.item.type, artifact.item.type)
def test_pipeline_stage_status(self):
backend = LocalArtifactBackend(config={"path": "./test_storage/"})
artifact = Artifact(self.stage_config)
payload = "SHRIM"
artifact.item = Item(payload=payload)
status = backend.pipeline_stage_run_status(self.stage_config,
artifact._dependency_hash)
self.assertEqual(status, STAGE_DOES_NOT_EXIST)
backend.save_artifact(artifact)
status = backend.pipeline_stage_run_status(self.stage_config,
artifact._dependency_hash)
self.assertEqual(status, STAGE_IN_PROGRESS)
backend.log_pipeline_stage_run_complete(self.stage_config,
artifact._dependency_hash)
status = backend.pipeline_stage_run_status(self.stage_config,
artifact._dependency_hash)
self.assertEqual(status, STAGE_COMPLETE)
meta = backend._get_pipeline_stage_run_meta(self.stage_config,
artifact._dependency_hash)
self.assertEqual(len(meta['artifacts']), 1)
def test_metadata_from_dict(self):
stage_a = PipelineStageConfig('some_name', {
"A": 1,
"B": 2,
"type": "ExecutorPipelineStage"
})
art_a = Artifact(stage_a)
d = {
"antecedents": {},
"creation_time": 124566722.3,
"definition_hash": "dac9630aec642a428cd73f4be0a03569",
"specific_hash": "bc1687bbb3b97214d46b7c30ab307cc1",
"dependency_hash": "ecad5fc98abf66565e009155f5e57dda",
"pipeline_stage": "some_stage",
"item": {
"meta": {
"loss": 0.2
},
"tags": ["my_pipeline_run"],
"type": "my_item_type"
}
}
art_a.meta_from_dict(d)
for prop in d:
if prop == "item":
for iprop in d['item']:
value = getattr(art_a.item, iprop)
self.assertEqual(d['item'][iprop], value)
else:
value = getattr(art_a, "_" + prop)
self.assertEqual(d[prop], value)
def find_pipeline_stage_run_artifacts(self, stage_config,
dependency_hash):
"""
Finds all artifacts for a given pipeline run, loading their
metadata.
"""
# Update pipeline stage metaa
stage_run_key = {
'stage_config_hash': stage_config.hash(),
'dependency_hash': dependency_hash,
}
response = self._stage_run_table.get_item(Key=stage_run_key)
if 'Item' not in response:
return None
else:
res = []
meta = json.loads(response['Item']['metadata'])
for obj in meta['artifacts']:
art = Artifact(stage_config)
art.item.type = obj['type']
art._specific_hash = obj['specific_hash']
art._dependency_hash = dependency_hash
art._definition_hash = stage_config.hash()
res.append(self._find_cached_artifact(art))
return res
def test_load_artifact(self):
backend = LocalArtifactBackend(config={"path": "./test_storage/"})
artifact = Artifact(self.stage_config)
payload = "SHRIM"
artifact.item = Item(payload="SHRIM")
backend.save_artifact(artifact)
loaded_artifact = backend.load_artifact(artifact)
self.assertEqual(loaded_artifact.item.payload, artifact.item.payload)
def test_generate_metadata(self):
stage_a = PipelineStageConfig('some_name', {
"A": 1,
"B": 2,
"type": "ExecutorPipelineStage"
})
art_a = Artifact(stage_a)
d = art_a.meta_to_dict()
for m in art_a._meta_properties:
if m not in d:
self.fail()
def test_stage_definition_hash_uniqueness(self):
stage_a = PipelineStageConfig('some_name', {
"foo": "bar",
"type": "ExecutorPipelineStage"
})
stage_b = PipelineStageConfig('some_name', {
"foo": "quux",
"type": "ExecutorPipelineStage"
})
art_a = Artifact(stage_a)
art_b = Artifact(stage_b)
self.assertNotEqual(art_a._definition_hash, art_b._definition_hash)
def test_metadata_from_bad_dict(self):
stage_a = PipelineStageConfig('some_name', {
"A": 1,
"B": 2,
"type": "ExecutorPipelineStage"
})
art_a = Artifact(stage_a)
try:
art_a.meta_from_dict({})
self.fail()
except InvalidArtifactMetadataError:
pass
def test_stage_definition_hash_idempotence(self):
stage_a = PipelineStageConfig('some_name', {
"A": 1,
"B": 2,
"type": "ExecutorPipelineStage"
})
stage_b = PipelineStageConfig('some_name', {
"B": 2,
"A": 1,
"type": "ExecutorPipelineStage"
})
art_a = Artifact(stage_a)
art_b = Artifact(stage_b)
self.assertEqual(art_a._definition_hash, art_b._definition_hash)
def test_pipeline_stage_run_meta(self):
backend = LocalArtifactBackend(config={"path": "./test_storage/"})
artifact = Artifact(self.stage_config)
payload = "SHRIM"
artifact.item = Item(payload=payload)
backend.save_artifact(artifact)
backend.log_pipeline_stage_run_complete(self.stage_config,
artifact._dependency_hash)
arts = backend.find_pipeline_stage_run_artifacts(
self.stage_config, artifact._dependency_hash)
self.assertEqual(len(arts), 1)
self.assertEqual(arts[0].get_uid(), artifact.get_uid())
async def process_loop(executor, stage, input_artifacts):
exit_loop = False
while not exit_loop:
await asyncio.sleep(2.0)
for message in executor._task_queue.receive_messages(
MessageAttributeNames=[
'stage_config_hash', 'dependency_hash'
]):
print("Retrieved message")
print(message.body)
print(message.message_attributes)
if message.message_attributes is None:
self.assertEqual(0, "Message attributes absent")
m_config_hash = message.message_attributes.\
get('stage_config_hash').get('StringValue')
m_dependency_hash = message.message_attributes.\
get('dependency_hash').get('StringValue')
config_hash = stage._config.hash()
dependency_hash = Artifact.dependency_hash(input_artifacts)
self.assertEqual(config_hash, m_config_hash)
self.assertEqual(dependency_hash, m_dependency_hash)
message.delete()
exit_loop = True
for task in asyncio.Task.all_tasks():
task.cancel()
raise CancelledError
def _yield_artifact(self, artifact_name):
artifact_path = os.path.join(os.getcwd(), self._root, artifact_name)
if self.read_content:
with open(artifact_path, 'rb') as f:
art = Artifact(self._stage_config)
art.item.payload = f.read()
return art
return artifact_path
def find_pipeline_stage_run_artifacts(self, stage_config, dependency_hash):
"""
Finds all artifacts for a given pipeline run.
"""
meta = self._get_pipeline_stage_run_meta(stage_config, dependency_hash)
if 'artifacts' not in meta:
return []
else:
res = []
for uid in meta['artifacts']:
artDict = meta['artifacts'][uid]
art = Artifact(stage_config)
art.item.type = artDict['item_type']
art._specific_hash = artDict['specific_hash']
res.append(self._find_cached_artifact(art))
return res
def _yield_artifact(self):
artifact_path = os.path.join(os.getcwd(), self._path)
content = ""
with open(artifact_path, 'r') as f:
content = f.read()
art = Artifact(self._stage_config)
art.item.payload = content
return art
def test_save_missing_payload(self):
artifact = Artifact(self.stage_config)
try:
self._default_backend.save_artifact(artifact)
self.assertEqual(0, "The above line should fail " +
"due to the artifact having no payload")
self.fail()
except ArtifactMissingPayloadError:
pass
def _sorted_artifacts(self, artifact):
"""
Returns a sorted list of artifacts, based upon pruning ordering
"""
item_meta = self._load_item_meta(artifact._pipeline_stage,
artifact.item.type)
result = []
for k in item_meta:
result.append(item_meta[k])
sorted_metadata = sorted(result, key=lambda x: x["creation_time"])
sorted_artifacts = []
for x in sorted_metadata:
a = Artifact(artifact._config, artifact.item.type)
a.meta_from_dict(x)
sorted_artifacts.append(a)
return sorted_artifacts
def test_save_missing_payload(self):
backend = LocalArtifactBackend(config={"path": "./test_storage/"})
artifact = Artifact(self.stage_config)
try:
backend.save_artifact(artifact)
self.assertEqual(
0, "The above line should fail " +
"due to the artifact having no payload")
self.fail()
except ArtifactMissingPayloadError:
pass
def test_load_artifact_from_s3(self):
backend = self._default_backend
artifact = Artifact(self.stage_config)
payload = "SHRIM"
artifact.item = Item(payload=payload)
backend.save_artifact(artifact)
# Now we'll delete the local artifact cache, forcing retrieval from S3
path = backend._localArtifactBackend.path
for root, dirs, files in os.walk(path, topdown=False):
for name in files:
os.remove(os.path.join(root, name))
for name in dirs:
os.rmdir(os.path.join(root, name))
distutils.dir_util.mkpath(path)
loaded_artifact = backend.load_artifact(artifact)
self.assertEqual(loaded_artifact.item.payload.decode('utf-8'), payload)
self.assertEqual(True, loaded_artifact._loaded_from_s3_cache)
self.cleanup_test_tables(self._default_backend)
async def _run_job(self, job):
# Get stage from pipeline
pf = PipelineStageFactory()
config = PipelineStageConfig(job['stage_name'], job['stage_config'])
stage = pf.create_pipeline_stage(config)
# Load artifact payloads from cache
loaded_artifacts = []
for artifact in job['artifacts']:
art_obj = Artifact(stage._config)
art_obj.meta_from_dict(artifact)
print(art_obj._pipeline_stage)
loaded = self._backend.load_artifact(art_obj)
if loaded is None:
raise Exception("Could not find payload for artifact")
loaded_artifacts.append(loaded)
# Execute the task
exec_task = self._executor.create_task(stage, loaded_artifacts)
result = await exec_task.generate_artifacts()
return result
async def _run_job(self, job):
# Get stage from pipeline
pf = PipelineStageFactory()
config = PipelineStageConfig(job['stage_name'], job['stage_config'])
stage = pf.create_pipeline_stage(config)
# Load input artifact payloads from cache
loaded_artifacts = []
for artifact in job['artifacts']:
art_obj = Artifact(stage._config)
art_obj.meta_from_dict(artifact)
loaded = self._backend.load_artifact(art_obj)
if loaded is None:
self._log("Could not find payload for artifact")
raise Exception("Could not find payload for artifact")
loaded_artifacts.append(loaded)
# Execute the task
exec_task = self._executor.create_task(stage, loaded_artifacts)
result = await exec_task.generate_artifacts()
for art in result:
art._creation_time = float(time.time())
art._dependency_hash = Artifact.dependency_hash(loaded_artifacts)
self._backend.save_artifact(art)
self._backend.log_pipeline_stage_run_complete(
config, Artifact.dependency_hash(loaded_artifacts))
return result
def test_create_tasks(self):
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
executor = RemoteSQSExecutor(
aws_profile="testing",
task_queue_name=self.test_queue_task_name,
result_queue_name=self.test_queue_result_name,
loop=loop)
pf = PipelineStageFactory()
stage = pf.create_pipeline_stage(self.stage_config)
input_artifacts = [Artifact(self.stage_config)]
executor.create_task(stage, input_artifacts)
async def process_loop(executor, stage, input_artifacts):
exit_loop = False
while not exit_loop:
await asyncio.sleep(2.0)
for message in executor._task_queue.receive_messages(
MessageAttributeNames=[
'stage_config_hash', 'dependency_hash'
]):
print("Retrieved message")
print(message.body)
print(message.message_attributes)
if message.message_attributes is None:
self.assertEqual(0, "Message attributes absent")
m_config_hash = message.message_attributes.\
get('stage_config_hash').get('StringValue')
m_dependency_hash = message.message_attributes.\
get('dependency_hash').get('StringValue')
config_hash = stage._config.hash()
dependency_hash = Artifact.dependency_hash(input_artifacts)
self.assertEqual(config_hash, m_config_hash)
self.assertEqual(dependency_hash, m_dependency_hash)
message.delete()
exit_loop = True
for task in asyncio.Task.all_tasks():
task.cancel()
raise CancelledError
try:
loop.run_until_complete(
asyncio.wait([
executor._process_queue(),
process_loop(executor, stage, input_artifacts)
]))
except CancelledError:
print('CancelledError raised: closing event loop.')
async def _process_queue(self):
while True:
task = await self._queue.get()
self._log('Acquired Task: %s with %d inputs' %
(task._stage._config.name, len(task._input_artifacts)))
# Push task to queue
config_hash = task._stage._config.hash()
dependency_hash = Artifact.dependency_hash(task._input_artifacts)
self._queue_push(task, config_hash, dependency_hash)
# Wait until task is complete
message = await self._await_result(config_hash, dependency_hash)
result = message.body
message.delete()
self._complete_task(task, config_hash, dependency_hash)
def _get_cached_artifacts(self, stage_name, input_artifacts, backend):
"""
Attempts to retrieve cached artifacts for the stage run,
identified uniquely by its definition and the hash of its
input artifacts.
"""
stage = self._stages[stage_name]
dependency_hash = Artifact.dependency_hash(input_artifacts)
status = backend.pipeline_stage_run_status(stage, dependency_hash)
if status == STAGE_COMPLETE or status == STAGE_IN_PROGRESS:
cached_arts = backend.find_pipeline_stage_run_artifacts(
stage._config, dependency_hash)
self._log("Loaded %d cached artifacts for stage %s" %\
(len(cached_arts), stage_name))
loaded_arts = []
for art in cached_arts:
loaded = backend.load_artifact(art)
loaded._loaded_from_cache = True
loaded_arts.append(loaded)
return loaded_arts
else:
return None
async def _run_stage(self, stage_name, input_artifacts, executor, backend):
"""
Run a stage once we've acquired the input artifacts
"""
# Check if the stage has already been run with the given
# input artifacts and pipeline definition. If so,
# return the cached run.
cached_arts = self._get_cached_artifacts(stage_name, input_artifacts,
backend)
if cached_arts is not None:
self._log("Found %d cached artifacts for stage %s" %
(len(cached_arts), stage_name))
return cached_arts
# We need to generate fresh artifacts.
# We'll feed the input artifacts to the executor,
# returning generated artifacts
stage = self._stages[stage_name]
result = []
dependency_hash = Artifact.dependency_hash(input_artifacts)
task = executor.create_task(self._stages[stage_name], input_artifacts)
artifacts = await task.generate_artifacts()
for art in artifacts:
if hasattr(art, "_remotely_produced"):
self._log("Remotely produced artifact for %s" % stage_name)
result.append(art)
else:
self._log("Yielding fresh artifact for stage %s" % stage_name)
self._log("\tPayload: %s " % str(art.item.payload)[0:50])
art = self._ensure_artifact_meta(art, dependency_hash)
backend.save_artifact(art)
result.append(art)
self._log("Done generating stage %s" % stage_name)
backend.log_pipeline_stage_run_complete(stage, dependency_hash)
return result
def test_save_artifact(self):
backend = LocalArtifactBackend(config={"path": "./test_storage/"})
artifact = Artifact(self.stage_config)
artifact.item = Item(payload="SHRIM")
backend.save_artifact(artifact)
pass
def yield_artifacts(self, input_artifacts):
for artifact in input_artifacts:
new_artifact = Artifact(self._config, artifact.item)
new_artifact._specific_hash = artifact._specific_hash
yield new_artifact
def test_executor_server_integration(self):
loop = asyncio.new_event_loop()
asyncio.set_event_loop(loop)
executor = RemoteSQSExecutor(
aws_profile=self.test_profile,
task_queue_name=self.test_queue_task_name,
result_queue_name=self.test_queue_result_name,
s3_bucket_name=self.test_bucket_name,
dynamodb_artifact_table_name=self.
test_dynamodb_artifact_table_name,
dynamodb_stage_run_table_name=self.test_dynamodb_stage_run_name,
loop=loop)
server = RemoteSQSServer(
aws_profile=self.test_profile,
aws_region=self.test_region,
s3_bucket_name=self.test_bucket_name,
task_queue_name=self.test_queue_task_name,
result_queue_name=self.test_queue_result_name,
dynamodb_artifact_table_name=self.
test_dynamodb_artifact_table_name,
dynamodb_stage_run_table_name=self.test_dynamodb_stage_run_name,
loop=loop)
# Create task. Its input will be itself because that's just great.
pf = PipelineStageFactory()
stage = pf.create_pipeline_stage(self.stage_config)
input_artifacts = []
for art in stage.yield_artifacts():
input_artifacts.append(art)
executor.create_task(stage, input_artifacts)
# Save input artifacts so they're available for the remote server
executor._backend.save_artifact(input_artifacts[0])
# Run our local RemoteExecutor and the remote RemoteSQSServer
# for 10 seconds.
async def timeout():
await asyncio.sleep(10.0)
for task in asyncio.Task.all_tasks():
task.cancel()
raise CancelledError
try:
loop.run_until_complete(
asyncio.wait([
executor._process_queue(),
server._process_tasks(),
server._executor_server._listen_to_queue(),
timeout()
]))
except CancelledError:
print('CancelledError raised: closing event loop.')
# Load our remotely generated artifact(s) and ensure they
# have the correct payload.
arts = executor._backend.find_pipeline_stage_run_artifacts(
self.stage_config, Artifact.dependency_hash(input_artifacts))
loaded = []
for art in arts:
loaded.append(executor._backend.load_artifact(art))
self.assertEqual(1, len(loaded))
self.assertEqual(loaded[0].item.payload['param_a'],
"string parameter value")
def _yield_artifact(self):
art = Artifact(self._stage_config)
art.item.payload = self._parameters
return art
def test_save_artifact(self):
s3_backend = self._default_backend
artifact = Artifact(self.stage_config)
artifact.item.payload = "foobs"
s3_backend.save_artifact(artifact)
self.cleanup_test_tables(self._default_backend)
