Unify generation of model uploaded code location

- Extract repeated key_prefix calculation in different models (base, mxnet, tensorflow, chainer, pytorch) into a common utility method in fw_utils.py
- The generated location now always respects the code_location prefix if present but it also concatenates either the model name or image-derived name to it
- This is related to 2.b in #226

Author: humanzz

CHANGELOG.rst

@@ -2,6 +2,11 @@
 CHANGELOG
 =========
 
++1.5.1dev
++========
+
+* enhancement: Unify generation of model uploaded code location
+
 1.5.0
 =====
 * feature: Add Support for PyTorch Framework

src/sagemaker/chainer/model.py

@@ -13,11 +13,10 @@
 from __future__ import absolute_import
 
 import sagemaker
-from sagemaker.fw_utils import create_image_uri
+from sagemaker.fw_utils import create_image_uri, model_code_key_prefix
 from sagemaker.model import FrameworkModel, MODEL_SERVER_WORKERS_PARAM_NAME
 from sagemaker.chainer.defaults import CHAINER_VERSION
 from sagemaker.predictor import RealTimePredictor, npy_serializer, numpy_deserializer
-from sagemaker.utils import name_from_image
 
 
 class ChainerPredictor(RealTimePredictor):
@@ -85,7 +84,8 @@ def prepare_container_def(self, instance_type):
             region_name = self.sagemaker_session.boto_session.region_name
             deploy_image = create_image_uri(region_name, self.__framework_name__, instance_type,
                                             self.framework_version, self.py_version)
-        deploy_key_prefix = self.key_prefix or self.name or name_from_image(deploy_image)
+
+        deploy_key_prefix = model_code_key_prefix(self.key_prefix, self.name, deploy_image)
         self._upload_code(deploy_key_prefix)
         deploy_env = dict(self.env)
         deploy_env.update(self._framework_env_vars())

src/sagemaker/fw_utils.py

@@ -19,6 +19,8 @@
 from collections import namedtuple
 from six.moves.urllib.parse import urlparse
 
+from sagemaker.utils import name_from_image
+
 """This module contains utility functions shared across ``Framework`` components."""
 
 
@@ -199,3 +201,21 @@ def parse_s3_url(url):
     if parsed_url.scheme != "s3":
         raise ValueError("Expecting 's3' scheme, got: {} in {}".format(parsed_url.scheme, url))
     return parsed_url.netloc, parsed_url.path.lstrip('/')
+
+
+def model_code_key_prefix(code_location_key_prefix, model_name, image):
+    """Returns the s3 key prefix for uploading code during model deployment
+
+    The location returned is a potential concatenation of 2 parts
+        1. code_location_key_prefix if it exists
+        2. model_name or a name derived from the image
+
+    Args:
+        code_location_key_prefix (str): the s3 key prefix from code_location
+        model_name (str): the name of the model
+        image (str): the image from which a default name can be extracted
+
+    Returns:
+        str: the key prefix to be used in uploading code
+    """
+    return '/'.join(filter(None, [code_location_key_prefix, model_name or name_from_image(image)]))

src/sagemaker/model.py

@@ -17,7 +17,7 @@
 import sagemaker
 
 from sagemaker.local import LocalSession
-from sagemaker.fw_utils import tar_and_upload_dir, parse_s3_url
+from sagemaker.fw_utils import tar_and_upload_dir, parse_s3_url, model_code_key_prefix
 from sagemaker.session import Session
 from sagemaker.utils import name_from_image, get_config_value
 
@@ -169,7 +169,8 @@ def prepare_container_def(self, instance_type):
         Returns:
             dict[str, str]: A container definition object usable with the CreateModel API.
         """
-        self._upload_code(self.key_prefix or self.name or name_from_image(self.image))
+        deploy_key_prefix = model_code_key_prefix(self.key_prefix, self.name, self.image)
+        self._upload_code(deploy_key_prefix)
         deploy_env = dict(self.env)
         deploy_env.update(self._framework_env_vars())
         return sagemaker.container_def(self.image, self.model_data, deploy_env)

src/sagemaker/mxnet/model.py

@@ -13,11 +13,10 @@
 from __future__ import absolute_import
 
 import sagemaker
-from sagemaker.fw_utils import create_image_uri
+from sagemaker.fw_utils import create_image_uri, model_code_key_prefix
 from sagemaker.model import FrameworkModel, MODEL_SERVER_WORKERS_PARAM_NAME
 from sagemaker.mxnet.defaults import MXNET_VERSION
 from sagemaker.predictor import RealTimePredictor, json_serializer, json_deserializer
-from sagemaker.utils import name_from_image
 
 
 class MXNetPredictor(RealTimePredictor):
@@ -85,7 +84,8 @@ def prepare_container_def(self, instance_type):
             region_name = self.sagemaker_session.boto_session.region_name
             deploy_image = create_image_uri(region_name, self.__framework_name__, instance_type,
                                             self.framework_version, self.py_version)
-        deploy_key_prefix = self.key_prefix or self.name or name_from_image(deploy_image)
+
+        deploy_key_prefix = model_code_key_prefix(self.key_prefix, self.name, deploy_image)
         self._upload_code(deploy_key_prefix)
         deploy_env = dict(self.env)
         deploy_env.update(self._framework_env_vars())

src/sagemaker/pytorch/model.py

@@ -12,11 +12,10 @@
 # language governing permissions and limitations under the License.
 from __future__ import absolute_import
 import sagemaker
-from sagemaker.fw_utils import create_image_uri
+from sagemaker.fw_utils import create_image_uri, model_code_key_prefix
 from sagemaker.model import FrameworkModel, MODEL_SERVER_WORKERS_PARAM_NAME
 from sagemaker.pytorch.defaults import PYTORCH_VERSION, PYTHON_VERSION
 from sagemaker.predictor import RealTimePredictor, npy_serializer, numpy_deserializer
-from sagemaker.utils import name_from_image
 
 
 class PyTorchPredictor(RealTimePredictor):
@@ -84,7 +83,7 @@ def prepare_container_def(self, instance_type):
             region_name = self.sagemaker_session.boto_session.region_name
             deploy_image = create_image_uri(region_name, self.__framework_name__, instance_type,
                                             self.framework_version, self.py_version)
-        deploy_key_prefix = self.key_prefix or self.name or name_from_image(deploy_image)
+        deploy_key_prefix = model_code_key_prefix(self.key_prefix, self.name, deploy_image)
         self._upload_code(deploy_key_prefix)
         deploy_env = dict(self.env)
         deploy_env.update(self._framework_env_vars())

src/sagemaker/tensorflow/model.py

@@ -13,12 +13,11 @@
 from __future__ import absolute_import
 
 import sagemaker
-from sagemaker.fw_utils import create_image_uri
+from sagemaker.fw_utils import create_image_uri, model_code_key_prefix
 from sagemaker.model import FrameworkModel, MODEL_SERVER_WORKERS_PARAM_NAME
 from sagemaker.predictor import RealTimePredictor
 from sagemaker.tensorflow.defaults import TF_VERSION
 from sagemaker.tensorflow.predictor import tf_json_serializer, tf_json_deserializer
-from sagemaker.utils import name_from_image
 
 
 class TensorFlowPredictor(RealTimePredictor):
@@ -89,8 +88,7 @@ def prepare_container_def(self, instance_type):
             deploy_image = create_image_uri(region_name, self.__framework_name__, instance_type,
                                             self.framework_version, self.py_version)
 
-        deploy_key_prefix = self.key_prefix or self.name or name_from_image(deploy_image)
-
+        deploy_key_prefix = model_code_key_prefix(self.key_prefix, self.name, deploy_image)
         self._upload_code(deploy_key_prefix)
         deploy_env = dict(self.env)
         deploy_env.update(self._framework_env_vars())

tests/unit/test_fw_utils.py

@@ -13,18 +13,21 @@
 from __future__ import absolute_import
 
 import inspect
-from mock import Mock
+from mock import Mock, patch
 import os
-from sagemaker.fw_utils import create_image_uri, framework_name_from_image, framework_version_from_tag
+from sagemaker.fw_utils import create_image_uri, framework_name_from_image, framework_version_from_tag, \
+    model_code_key_prefix
 from sagemaker.fw_utils import tar_and_upload_dir, parse_s3_url, UploadedCode, validate_source_dir
 import pytest
 
+from sagemaker.utils import name_from_image
 
 DATA_DIR = 'data_dir'
 BUCKET_NAME = 'mybucket'
 ROLE = 'Sagemaker'
 REGION = 'us-west-2'
 SCRIPT_PATH = 'script.py'
+TIMESTAMP = '2017-10-10-14-14-15'
 
 
 @pytest.fixture()
@@ -189,3 +192,37 @@ def test_parse_s3_url_fail():
     with pytest.raises(ValueError) as error:
         parse_s3_url('t3://code_location')
     assert 'Expecting \'s3\' scheme' in str(error)
+
+
+def test_model_code_key_prefix_with_all_values_present():
+    key_prefix = model_code_key_prefix('prefix', 'model_name', 'image_name')
+    assert key_prefix == 'prefix/model_name'
+
+
+def test_model_code_key_prefix_with_no_prefix_and_all_other_values_present():
+    key_prefix = model_code_key_prefix(None, 'model_name', 'image_name')
+    assert key_prefix == 'model_name'
+
+
+@patch('time.strftime', return_value=TIMESTAMP)
+def test_model_code_key_prefix_with_only_image_present(time):
+    key_prefix = model_code_key_prefix(None, None, 'image_name')
+    assert key_prefix == name_from_image('image_name')
+
+
+@patch('time.strftime', return_value=TIMESTAMP)
+def test_model_code_key_prefix_and_image_present(time):
+    key_prefix = model_code_key_prefix('prefix', None, 'image_name')
+    assert key_prefix == 'prefix/' + name_from_image('image_name')
+
+
+def test_model_code_key_prefix_with_prefix_present_and_others_none_fail():
+    with pytest.raises(TypeError) as error:
+        model_code_key_prefix('prefix', None, None)
+    assert 'expected string' in str(error)
+
+
+def test_model_code_key_prefix_with_all_none_fail():
+    with pytest.raises(TypeError) as error:
+        model_code_key_prefix(None, None, None)
+    assert 'expected string' in str(error)

tests/unit/test_model.py

@@ -80,7 +80,7 @@ def test_create_no_defaults(tfopen, exists, isdir, listdir, time, sagemaker_sess
 
     assert model.prepare_container_def(INSTANCE_TYPE) == {
         'Environment': {'SAGEMAKER_PROGRAM': 'blah.py',
-                        'SAGEMAKER_SUBMIT_DIRECTORY': 's3://cb/cp/sourcedir.tar.gz',
+                        'SAGEMAKER_SUBMIT_DIRECTORY': 's3://cb/cp/name/sourcedir.tar.gz',
                         'SAGEMAKER_CONTAINER_LOG_LEVEL': '55',
                         'SAGEMAKER_REGION': 'us-west-2',
                         'SAGEMAKER_ENABLE_CLOUDWATCH_METRICS': 'true',