def delete_tiles(self, ingest_job):
"""
Delete all remaining tiles from the tile index database and tile bucket
5/24/2018 - This code depends on a GSI for the tile index. The GSI was
removed because its key didn't shard well. Cleanup will now be handled
by TTL policies applied to the tile bucket and the tile index. This
method will be removed once that code is merged.
Args:
ingest_job: Ingest job model
Returns:
None
Raises:
BossError : For exceptions that happen while deleting the tiles and index
"""
try:
# Get all the chunks for a job
tiledb = BossTileIndexDB(ingest_job.collection + '&' + ingest_job.experiment)
tilebucket = TileBucket(ingest_job.collection + '&' + ingest_job.experiment)
chunks = list(tiledb.getTaskItems(ingest_job.id))
for chunk in chunks:
# delete each tile in the chunk
for key in chunk['tile_uploaded_map']:
response = tilebucket.deleteObject(key)
tiledb.deleteCuboid(chunk['chunk_key'], ingest_job.id)
except Exception as e:
raise BossError("Exception while deleteing tiles for the ingest job {}. {}".format(ingest_job.id, e),
ErrorCodes.BOSS_SYSTEM_ERROR)
def delete_tiles(self, ingest_job):
"""
Delete all remaining tiles from the tile index database and tile bucket
Args:
ingest_job: Ingest job model
Returns:
None
Raises:
BossError : For exceptions that happen while deleting the tiles and index
"""
try:
# Get all the chunks for a job
tiledb = BossTileIndexDB(ingest_job.collection + '&' +
ingest_job.experiment)
tilebucket = TileBucket(ingest_job.collection + '&' +
ingest_job.experiment)
chunks = list(tiledb.getTaskItems(ingest_job.id))
for chunk in chunks:
chunk_key = chunk['chunk_key']
# delete each tile in the chunk
for key in chunk['tile_uploaded_map']:
response = tilebucket.deleteObject(key)
tiledb.deleteCuboid(chunk['chunk_key'], ingest_job.id)
except Exception as e:
raise BossError(
"Exception while deleteing tiles for the ingest job {}. {}".
format(ingest_job.id, e), ErrorCodes.BOSS_SYSTEM_ERROR)
def setup_class(self):
"""Setup class parameters"""
# create the tile index table. skip if it exists
try:
TileIndexDB.createTable(endpoint_url=settings.DYNAMO_ENDPOINT)
CuboidIndexDB.createTable(endpoint_url=settings.DYNAMO_ENDPOINT)
except Exception as e:
pass
self.tileindex_db = TileIndexDB(nd_proj.project_name,
endpoint_url=settings.DYNAMO_ENDPOINT)
self.tile_bucket = TileBucket(nd_proj.project_name,
endpoint_url=settings.S3_ENDPOINT)
[self.x_tile, self.y_tile, self.z_tile] = [0, 0, 0]
supercuboid_key = 'testing'
message_id = '123456'
receipt_handle = 'testing123456'
message = serializer.encodeDeleteMessage(supercuboid_key, message_id,
receipt_handle)
# insert message in the upload queue
CleanupQueue.createQueue(nd_proj, endpoint_url=settings.SQS_ENDPOINT)
self.cleanup_queue = CleanupQueue(nd_proj,
endpoint_url=settings.SQS_ENDPOINT)
self.cleanup_queue.sendMessage(message)
# receive message and upload object
for z_index in range(self.z_tile, settings.SUPER_CUBOID_SIZE[2], 1):
tile_handle = cStringIO.StringIO()
self.tile_bucket.putObject(tile_handle, nd_proj.channel_name,
nd_proj.resolution, self.x_tile,
self.y_tile, z_index, message_id,
receipt_handle)
def setup_class(cls):
"""Setup Parameters"""
if 'S3_ENDPOINT' in dir(settings):
cls.endpoint_url = settings.S3_ENDPOINT
else:
cls.endpoint_url = None
TileBucket.createBucket(endpoint_url=cls.endpoint_url)
cls.tile_bucket = TileBucket(nd_proj.project_name, endpoint_url=cls.endpoint_url)
def setup_ingest(self, creator, config_data):
"""
Setup the ingest job. This is the primary method for the ingest manager.
It creates the ingest job and queues required for the ingest. It also uploads the messages for the ingest
Args:
creator: The validated user from the request to create the ingest jon
config_data : Config data to create the ingest job
Returns:
IngestJob : data model containing the ingest job
Raises:
BossError : For all exceptions that happen
"""
# Validate config data and schema
self.owner = creator
try:
valid_schema = self.validate_config_file(config_data)
valid_prop = self.validate_properties()
if valid_schema is True and valid_prop is True:
# create the django model for the job
self.job = self.create_ingest_job()
# create the additional resources needed for the ingest
# initialize the ndingest project for use with the library
proj_class = BossIngestProj.load()
self.nd_proj = proj_class(self.collection.name,
self.experiment.name,
self.channel.name, self.resolution,
self.job.id)
# Create the upload queue
upload_queue = self.create_upload_queue()
self.job.upload_queue = upload_queue.url
# Create the ingest queue
ingest_queue = self.create_ingest_queue()
self.job.ingest_queue = ingest_queue.url
self.generate_upload_tasks()
tile_bucket = TileBucket(self.job.collection + '&' +
self.job.experiment)
self.create_ingest_credentials(upload_queue, tile_bucket)
# TODO create channel if needed
except BossError as err:
raise BossError(err.message, err.error_code)
except Exception as e:
raise BossError(
"Unable to create the upload and ingest queue.{}".format(e),
ErrorCodes.BOSS_SYSTEM_ERROR)
return self.job
def setup_ingest(self, creator, config_data):
"""
Args:
Returns:
"""
# Validate config data and schema
self.owner = creator
try:
valid_schema = self.validate_config_file(config_data)
valid_prop = self.validate_properties()
if valid_schema is True and valid_prop is True:
# create the django model for the job
self.job = self.create_ingest_job()
# create the additional resources needed for the ingest
# initialize the ndingest project for use with the library
proj_class = BossIngestProj.load()
self.nd_proj = proj_class(self.collection.name,
self.experiment.name,
self.channel_layer.name,
self.resolution, self.job.id)
# Create the upload queue
upload_queue = self.create_upload_queue()
self.job.upload_queue = upload_queue.url
# Create the ingest queue
ingest_queue = self.create_ingest_queue()
self.job.ingest_queue = ingest_queue.url
self.generate_upload_tasks()
tile_bucket = TileBucket(self.job.collection + '&' +
self.job.experiment)
self.create_ingest_credentials(upload_queue, tile_bucket)
# Update status
self.job.status = 1
self.job.save()
# TODO create channel if needed
except BossError as err:
raise BossError(err.message, err.error_code)
except Exception as e:
raise BossError(
"Unable to create the upload and ingest queue.{}".format(e),
ErrorCodes.BOSS_SYSTEM_ERROR)
return self.job
def setup_class(self):
"""Setup class parameters"""
# create the tile index table. skip if it exists
try:
TileIndexDB.createTable(endpoint_url="http://localhost:8000")
CuboidIndexDB.createTable(endpoint_url="http://localhost:8000")
except Exception as e:
pass
self.tileindex_db = TileIndexDB(nd_proj.project_name,
endpoint_url="http://localhost:8000")
# create the tile bucket
TileBucket.createBucket(endpoint_url="http://localhost:4567")
self.tile_bucket = TileBucket(nd_proj.project_name,
endpoint_url="http://localhost:4567")
self.tiles = [self.x_tile, self.y_tile, self.z_tile] = [0, 0, 0]
message_id = "testing"
receipt_handle = "123456"
# insert SUPER_CUBOID_SIZE tiles in the bucket
for z_index in (self.z_tile, settings.SUPER_CUBOID_SIZE[2], 1):
tile_handle = cStringIO.StringIO()
self.tile_bucket.putObject(
tile_handle,
nd_proj.channel_name,
nd_proj.resolution,
self.x_tile,
self.y_tile,
z_index,
message_id,
receipt_handle,
)
# creating the cuboid bucket
CuboidBucket.createBucket(endpoint_url="http://localhost:4567")
self.cuboid_bucket = CuboidBucket(nd_proj.project_name,
endpoint_url="http://localhost:4567")
# create the ingest queue
IngestQueue.createQueue(nd_proj, endpoint_url="http://localhost:4568")
self.ingest_queue = IngestQueue(nd_proj,
endpoint_url="http://localhost:4568")
# send message to the ingest queue
morton_index = XYZMorton(self.tiles)
supercuboid_key = self.cuboid_bucket.generateSupercuboidKey(
nd_proj.channel_name, nd_proj.resolution, morton_index)
response = self.ingest_queue.sendMessage(supercuboid_key)
# create the cleanup queue
CleanupQueue.createQueue(nd_proj, endpoint_url="http://localhost:4568")
def setup_class(self):
"""Setup class parameters"""
# create the tile index table. skip if it exists
try:
TileIndexDB.createTable(endpoint_url=settings.DYNAMO_ENDPOINT)
except Exception as e:
pass
self.tileindex_db = TileIndexDB(nd_proj.project_name,
endpoint_url=settings.DYNAMO_ENDPOINT)
# create the ingest queue
IngestQueue.createQueue(nd_proj, endpoint_url=settings.SQS_ENDPOINT)
# create the upload queue
UploadQueue.createQueue(nd_proj, endpoint_url=settings.SQS_ENDPOINT)
self.upload_queue = UploadQueue(nd_proj,
endpoint_url=settings.SQS_ENDPOINT)
tile_bucket = TileBucket(nd_proj.project_name,
endpoint_url=settings.S3_ENDPOINT)
[self.x_tile, self.y_tile, self.z_tile] = [0, 0, 0]
message = serializer.encodeUploadMessage(
nd_proj.project_name,
nd_proj.channel_name,
nd_proj.resolution,
self.x_tile,
self.y_tile,
self.z_tile,
)
# insert message in the upload queue
self.upload_queue.sendMessage(message)
# receive message and upload object
for (
message_id,
receipt_handle,
message_body,
) in self.upload_queue.receiveMessage():
tile_handle = cStringIO.StringIO()
tile_bucket.putObject(
tile_handle,
nd_proj.channel_name,
nd_proj.resolution,
self.x_tile,
self.y_tile,
self.z_tile,
message_id,
receipt_handle,
)
def generate_ingest_credentials(self, ingest_job):
"""
Create new ingest credentials for a job
Args:
upload_queue : Upload queue for the job
tile_bucket : Name of the tile bucket for the job
Returns:
None
"""
# Generate credentials for the ingest_job
# Create the credentials for the job
tile_bucket = TileBucket(ingest_job.collection + '&' +
ingest_job.experiment)
upload_queue = self.get_ingest_job_upload_queue(ingest_job)
ingest_creds = IngestCredentials()
policy = BossUtil.generate_ingest_policy(ingest_job.id, upload_queue,
tile_bucket)
ingest_creds.generate_credentials(ingest_job.id, policy.arn)
def setUpClass(cls):
# Silence warnings about open boto3 sessions.
warnings.filterwarnings('ignore')
cls.job_id = 123
cls.nd_proj = BossIngestProj('testCol', 'kasthuri11', 'image', 0,
cls.job_id)
TileBucket.createBucket()
cls.tile_bucket = TileBucket(cls.nd_proj.project_name)
warnings.simplefilter('ignore')
#with open('/Users/manavpj1/repos/boss/django/bossingest/test/boss_tile_index.json') as fp:
# schema = json.load(fp)
#BossTileIndexDB.createTable(schema, endpoint_url=settings.DYNAMO_TEST_ENDPOINT)
cls.tileindex_db = BossTileIndexDB(
cls.nd_proj.project_name,
endpoint_url=settings.DYNAMO_TEST_ENDPOINT)
def tile_bucket(s3, iam):
from ndingest.ndbucket.tilebucket import TileBucket
TileBucket.createBucket()
yield TileBucket(nd_proj.project_name)
TileBucket.deleteBucket()
# Parse input args passed as a JSON string from the lambda loader
json_event = sys.argv[1]
event = json.loads(json_event)
print(event)
# extract bucket name and tile key from the event
bucket = event['Records'][0]['s3']['bucket']['name']
tile_key = urllib.parse.unquote_plus(
event['Records'][0]['s3']['object']['key'])
print("Bucket: {}".format(bucket))
print("Tile key: {}".format(tile_key))
# fetch metadata from the s3 object
proj_info = BossIngestProj.fromTileKey(tile_key)
tile_bucket = TileBucket(proj_info.project_name)
message_id, receipt_handle, metadata = tile_bucket.getMetadata(tile_key)
print("Metadata: {}".format(metadata))
# Currently this is what is sent from the client for the "metadata"
# metadata = {'chunk_key': 'chunk_key',
# 'ingest_job': self.ingest_job_id,
# 'parameters': {"upload_queue": XX
# "ingest_queue": XX,
# "ingest_lambda":XX,
# "KVIO_SETTINGS": XX,
# "STATEIO_CONFIG": XX,
# "OBJECTIO_CONFIG": XX
# },
# 'tile_size_x': "{}".format(self.config.config_data["ingest_job"]["tile_size"]["x"]),
# 'tile_size_y': "{}".format(self.config.config_data["ingest_job"]["tile_size"]["y"])
def test_upload_tile_index_table(self):
""""""
ingest_mgmr = IngestManager()
ingest_mgmr.validate_config_file(self.example_config_data)
ingest_mgmr.validate_properties()
ingest_mgmr.owner = self.user.pk
ingest_job = ingest_mgmr.create_ingest_job()
assert (ingest_job.id is not None)
# Get the chunks in this job
# Get the project information
bosskey = ingest_job.collection + '&' + ingest_job.experiment + '&' + ingest_job.channel_layer
lookup_key = (LookUpKey.get_lookup_key(bosskey)).lookup_key
[col_id, exp_id, ch_id] = lookup_key.split('&')
project_info = [col_id, exp_id, ch_id]
proj_name = ingest_job.collection + '&' + ingest_job.experiment
tile_index_db = BossTileIndexDB(proj_name)
tilebucket = TileBucket(str(col_id) + '&' + str(exp_id))
for time_step in range(ingest_job.t_start, ingest_job.t_stop, 1):
# For each time step, compute the chunks and tile keys
for z in range(ingest_job.z_start, ingest_job.z_stop, 16):
for y in range(ingest_job.y_start, ingest_job.y_stop,
ingest_job.tile_size_y):
for x in range(ingest_job.x_start, ingest_job.x_stop,
ingest_job.tile_size_x):
# compute the chunk indices
chunk_x = int(x / ingest_job.tile_size_x)
chunk_y = int(y / ingest_job.tile_size_y)
chunk_z = int(z / 16)
# Compute the number of tiles in the chunk
if ingest_job.z_stop - z >= 16:
num_of_tiles = 16
else:
num_of_tiles = ingest_job.z_stop - z
# Generate the chunk key
chunk_key = (BossBackend(
ingest_mgmr.config)).encode_chunk_key(
num_of_tiles, project_info,
ingest_job.resolution, chunk_x, chunk_y,
chunk_z, time_step)
# Upload the chunk to the tile index db
tile_index_db.createCuboidEntry(
chunk_key, ingest_job.id)
key_map = {}
for tile in range(0, num_of_tiles):
# get the object key and upload it
#tile_key = tilebucket.encodeObjectKey(ch_id, ingest_job.resolution,
# chunk_x, chunk_y, tile, time_step)
tile_key = 'fakekey' + str(tile)
tile_index_db.markTileAsUploaded(
chunk_key, tile_key)
# for each chunk key, delete entries from the tile_bucket
# Check if data has been uploaded
chunks = list(tile_index_db.getTaskItems(ingest_job.id))
assert (len(chunks) != 0)
ingest_mgmr.delete_tiles(ingest_job)
chunks = list(tile_index_db.getTaskItems(ingest_job.id))
assert (len(chunks) == 0)
def handler(event, context):
# Load settings
SETTINGS = BossSettings.load()
# Used as a guard against trying to delete the SQS message when lambda is
# triggered by SQS.
sqs_triggered = 'Records' in event and len(event['Records']) > 0
if sqs_triggered :
# Lambda invoked by an SQS trigger.
msg_data = json.loads(event['Records'][0]['body'])
# Load the project info from the chunk key you are processing
chunk_key = msg_data['chunk_key']
proj_info = BossIngestProj.fromSupercuboidKey(chunk_key)
proj_info.job_id = msg_data['ingest_job']
else:
# Standard async invoke of this lambda.
# Load the project info from the chunk key you are processing
proj_info = BossIngestProj.fromSupercuboidKey(event["chunk_key"])
proj_info.job_id = event["ingest_job"]
# Get message from SQS ingest queue, try for ~2 seconds
rx_cnt = 0
msg_data = None
msg_id = None
msg_rx_handle = None
while rx_cnt < 6:
ingest_queue = IngestQueue(proj_info)
try:
msg = [x for x in ingest_queue.receiveMessage()]
# StopIteration may be converted to a RunTimeError.
except (StopIteration, RuntimeError):
msg = None
if msg:
msg = msg[0]
print("MESSAGE: {}".format(msg))
print(len(msg))
msg_id = msg[0]
msg_rx_handle = msg[1]
msg_data = json.loads(msg[2])
print("MESSAGE DATA: {}".format(msg_data))
break
else:
rx_cnt += 1
print("No message found. Try {} of 6".format(rx_cnt))
time.sleep(1)
if not msg_id:
# No tiles ready to ingest.
print("No ingest message available")
return
# Get the chunk key of the tiles to ingest.
chunk_key = msg_data['chunk_key']
tile_error_queue = TileErrorQueue(proj_info)
print("Ingesting Chunk {}".format(chunk_key))
tiles_in_chunk = int(chunk_key.split('&')[1])
# Setup SPDB instance
sp = SpatialDB(msg_data['parameters']["KVIO_SETTINGS"],
msg_data['parameters']["STATEIO_CONFIG"],
msg_data['parameters']["OBJECTIO_CONFIG"])
# Get tile list from Tile Index Table
tile_index_db = BossTileIndexDB(proj_info.project_name)
# tile_index_result (dict): keys are S3 object keys of the tiles comprising the chunk.
tile_index_result = tile_index_db.getCuboid(msg_data["chunk_key"], int(msg_data["ingest_job"]))
if tile_index_result is None:
# If chunk_key is gone, another lambda uploaded the cuboids and deleted the chunk_key afterwards.
if not sqs_triggered:
# Remove message so it's not redelivered.
ingest_queue.deleteMessage(msg_id, msg_rx_handle)
print("Aborting due to chunk key missing from tile index table")
return
# Sort the tile keys
print("Tile Keys: {}".format(tile_index_result["tile_uploaded_map"]))
tile_key_list = [x.rsplit("&", 2) for x in tile_index_result["tile_uploaded_map"].keys()]
if len(tile_key_list) < tiles_in_chunk:
print("Not a full set of 16 tiles. Assuming it has handled already, tiles: {}".format(len(tile_key_list)))
if not sqs_triggered:
ingest_queue.deleteMessage(msg_id, msg_rx_handle)
return
tile_key_list = sorted(tile_key_list, key=lambda x: int(x[1]))
tile_key_list = ["&".join(x) for x in tile_key_list]
print("Sorted Tile Keys: {}".format(tile_key_list))
# Augment Resource JSON data so it will instantiate properly that was pruned due to S3 metadata size limits
resource_dict = msg_data['parameters']['resource']
_, exp_name, ch_name = resource_dict["boss_key"].split("&")
resource_dict["channel"]["name"] = ch_name
resource_dict["channel"]["description"] = ""
resource_dict["channel"]["sources"] = []
resource_dict["channel"]["related"] = []
resource_dict["channel"]["default_time_sample"] = 0
resource_dict["channel"]["downsample_status"] = "NOT_DOWNSAMPLED"
resource_dict["experiment"]["name"] = exp_name
resource_dict["experiment"]["description"] = ""
resource_dict["experiment"]["num_time_samples"] = 1
resource_dict["experiment"]["time_step"] = None
resource_dict["experiment"]["time_step_unit"] = None
resource_dict["coord_frame"]["name"] = "cf"
resource_dict["coord_frame"]["name"] = ""
resource_dict["coord_frame"]["x_start"] = 0
resource_dict["coord_frame"]["x_stop"] = 100000
resource_dict["coord_frame"]["y_start"] = 0
resource_dict["coord_frame"]["y_stop"] = 100000
resource_dict["coord_frame"]["z_start"] = 0
resource_dict["coord_frame"]["z_stop"] = 100000
resource_dict["coord_frame"]["voxel_unit"] = "nanometers"
# Setup the resource
resource = BossResourceBasic()
resource.from_dict(resource_dict)
dtype = resource.get_numpy_data_type()
# read all tiles from bucket into a slab
tile_bucket = TileBucket(proj_info.project_name)
data = []
num_z_slices = 0
for tile_key in tile_key_list:
try:
image_data, message_id, receipt_handle, metadata = tile_bucket.getObjectByKey(tile_key)
except KeyError:
print('Key: {} not found in tile bucket, assuming redelivered SQS message and aborting.'.format(
tile_key))
if not sqs_triggered:
# Remove message so it's not redelivered.
ingest_queue.deleteMessage(msg_id, msg_rx_handle)
print("Aborting due to missing tile in bucket")
return
image_bytes = BytesIO(image_data)
image_size = image_bytes.getbuffer().nbytes
# Get tiles size from metadata, need to shape black tile if actual tile is corrupt.
if 'x_size' in metadata:
tile_size_x = metadata['x_size']
else:
print('MetadataMissing: x_size not in tile metadata: using 1024.')
tile_size_x = 1024
if 'y_size' in metadata:
tile_size_y = metadata['y_size']
else:
print('MetadataMissing: y_size not in tile metadata: using 1024.')
tile_size_y = 1024
if image_size == 0:
print('TileError: Zero length tile, using black instead: {}'.format(tile_key))
error_msg = 'Zero length tile'
enqueue_tile_error(tile_error_queue, tile_key, chunk_key, error_msg)
tile_img = np.zeros((tile_size_x, tile_size_y), dtype=dtype)
else:
try:
# DP NOTE: Issues when specifying dtype in the asarray function with Pillow ver 8.3.1.
# Fixed by separating array instantiation and dtype assignment.
tile_img = np.asarray(Image.open(image_bytes))
tile_img = tile_img.astype(dtype)
except TypeError as te:
print('TileError: Incomplete tile, using black instead (tile_size_in_bytes, tile_key): {}, {}'
.format(image_size, tile_key))
error_msg = 'Incomplete tile'
enqueue_tile_error(tile_error_queue, tile_key, chunk_key, error_msg)
tile_img = np.zeros((tile_size_x, tile_size_y), dtype=dtype)
except OSError as oe:
print('TileError: OSError, using black instead (tile_size_in_bytes, tile_key): {}, {} ErrorMessage: {}'
.format(image_size, tile_key, oe))
error_msg = 'OSError: {}'.format(oe)
enqueue_tile_error(tile_error_queue, tile_key, chunk_key, error_msg)
tile_img = np.zeros((tile_size_x, tile_size_y), dtype=dtype)
data.append(tile_img)
num_z_slices += 1
# Make 3D array of image data. It should be in XYZ at this point
chunk_data = np.array(data)
del data
tile_dims = chunk_data.shape
# Break into Cube instances
print("Tile Dims: {}".format(tile_dims))
print("Num Z Slices: {}".format(num_z_slices))
num_x_cuboids = int(math.ceil(tile_dims[2] / CUBOIDSIZE[proj_info.resolution][0]))
num_y_cuboids = int(math.ceil(tile_dims[1] / CUBOIDSIZE[proj_info.resolution][1]))
print("Num X Cuboids: {}".format(num_x_cuboids))
print("Num Y Cuboids: {}".format(num_y_cuboids))
chunk_key_parts = BossUtil.decode_chunk_key(chunk_key)
t_index = chunk_key_parts['t_index']
for x_idx in range(0, num_x_cuboids):
for y_idx in range(0, num_y_cuboids):
# TODO: check time series support
cube = Cube.create_cube(resource, CUBOIDSIZE[proj_info.resolution])
cube.zeros()
# Compute Morton ID
# TODO: verify Morton indices correct!
print(chunk_key_parts)
morton_x_ind = x_idx + (chunk_key_parts["x_index"] * num_x_cuboids)
morton_y_ind = y_idx + (chunk_key_parts["y_index"] * num_y_cuboids)
print("Morton X: {}".format(morton_x_ind))
print("Morton Y: {}".format(morton_y_ind))
morton_index = XYZMorton([morton_x_ind, morton_y_ind, int(chunk_key_parts['z_index'])])
# Insert sub-region from chunk_data into cuboid
x_start = x_idx * CUBOIDSIZE[proj_info.resolution][0]
x_end = x_start + CUBOIDSIZE[proj_info.resolution][0]
x_end = min(x_end, tile_dims[2])
y_start = y_idx * CUBOIDSIZE[proj_info.resolution][1]
y_end = y_start + CUBOIDSIZE[proj_info.resolution][1]
y_end = min(y_end, tile_dims[1])
z_end = CUBOIDSIZE[proj_info.resolution][2]
# TODO: get sub-array w/o making a copy.
print("Yrange: {}".format(y_end - y_start))
print("Xrange: {}".format(x_end - x_start))
print("X start: {}".format(x_start))
print("X stop: {}".format(x_end))
cube.data[0, 0:num_z_slices, 0:(y_end - y_start), 0:(x_end - x_start)] = chunk_data[0:num_z_slices,
y_start:y_end, x_start:x_end]
# Create object key
object_key = sp.objectio.generate_object_key(resource, proj_info.resolution, t_index, morton_index)
print("Object Key: {}".format(object_key))
# Put object in S3
sp.objectio.put_objects([object_key], [cube.to_blosc()])
# Add object to index
sp.objectio.add_cuboid_to_index(object_key, ingest_job=int(msg_data["ingest_job"]))
# Update id indices if this is an annotation channel
# We no longer index during ingest.
#if resource.data['channel']['type'] == 'annotation':
# try:
# sp.objectio.update_id_indices(
# resource, proj_info.resolution, [object_key], [cube.data])
# except SpdbError as ex:
# sns_client = boto3.client('sns')
# topic_arn = msg_data['parameters']["OBJECTIO_CONFIG"]["prod_mailing_list"]
# msg = 'During ingest:\n{}\nCollection: {}\nExperiment: {}\n Channel: {}\n'.format(
# ex.message,
# resource.data['collection']['name'],
# resource.data['experiment']['name'],
# resource.data['channel']['name'])
# sns_client.publish(
# TopicArn=topic_arn,
# Subject='Object services misuse',
# Message=msg)
lambda_client = boto3.client('lambda', region_name=SETTINGS.REGION_NAME)
names = AWSNames.from_lambda(context.function_name)
delete_tiles_data = {
'tile_key_list': tile_key_list,
'region': SETTINGS.REGION_NAME,
'bucket': tile_bucket.bucket.name
}
# Delete tiles from tile bucket.
lambda_client.invoke(
FunctionName=names.delete_tile_objs.lambda_,
InvocationType='Event',
Payload=json.dumps(delete_tiles_data).encode()
)
delete_tile_entry_data = {
'tile_index': tile_index_db.table.name,
'region': SETTINGS.REGION_NAME,
'chunk_key': chunk_key,
'task_id': msg_data['ingest_job']
}
# Delete entry from tile index.
lambda_client.invoke(
FunctionName=names.delete_tile_index_entry.lambda_,
InvocationType='Event',
Payload=json.dumps(delete_tile_entry_data).encode()
)
if not sqs_triggered:
# Delete message since it was processed successfully
ingest_queue.deleteMessage(msg_id, msg_rx_handle)