Replace aioboto3 with boto3

setup.py

@@ -10,19 +10,7 @@
 CURRENT_VERSION = __version__
 FRAMEWORKS = ["tensorflow", "pytorch", "mxnet", "xgboost"]
 TESTS_PACKAGES = ["pytest", "torchvision", "pandas"]
-INSTALL_REQUIRES = [
-    # aiboto3 implicitly depends on aiobotocore
-    "aioboto3==6.4.1",  # no version deps
-    "aiobotocore==0.11.0",  # pinned to a specific botocore & boto3
-    "aiohttp>=3.6.0,<4.0",  # aiobotocore breaks with 4.0
-    # boto3 explicitly depends on botocore
-    "boto3>=1.10.32",  # Sagemaker requires >= 1.9.213
-    "botocore>=1.13.32",
-    "nest_asyncio",
-    "protobuf>=3.6.0",
-    "numpy",
-    "packaging",
-]
+INSTALL_REQUIRES = ["protobuf>=3.6.0", "numpy", "packaging", "boto3>=1.10.32"]
 
 
 def compile_summary_protobuf():

smdebug/core/access_layer/utils.py

@@ -1,16 +1,14 @@
 # Standard Library
-import asyncio
 import os
 
 # Third Party
-import aioboto3
 from botocore.exceptions import ClientError
 
 # First Party
-from smdebug.core.access_layer.s3handler import ListRequest, S3Handler
+from smdebug.core.access_layer.s3handler import DeleteRequest, ListRequest, S3Handler
 from smdebug.core.logger import get_logger
 from smdebug.core.sagemaker_utils import is_sagemaker_job
-from smdebug.core.utils import get_region, is_s3
+from smdebug.core.utils import is_s3
 
 # Local
 from .file import TSAccessFile
@@ -55,9 +53,8 @@ def has_training_ended(trial_prefix):
     s3, bucket_name, key_name = is_s3(file_path)
     if s3:
         try:
-            s3_handler = S3Handler()
             request = ListRequest(bucket_name, key_name)
-            file_available = s3_handler.list_prefixes([request])[0]
+            file_available = S3Handler.list_prefixes([request])[0]
             if len(file_available) > 0:
                 return True
             else:
@@ -74,23 +71,12 @@ def has_training_ended(trial_prefix):
 
 
 def delete_s3_prefixes(bucket, keys):
-    s3_handler = S3Handler()
     if not isinstance(keys, list):
         keys = [keys]
-    list_prefixes = s3_handler.list_prefixes(
-        [ListRequest(Bucket=bucket, Prefix=key) for key in keys]
-    )
-    prefixes = [item for sublist in list_prefixes for item in sublist]
-    loop = asyncio.get_event_loop()
-
-    async def del_folder(bucket, keys):
-        loop = asyncio.get_event_loop()
-        client = aioboto3.client("s3", loop=loop, region_name=get_region())
-        await asyncio.gather(*[client.delete_object(Bucket=bucket, Key=key) for key in keys])
-        await client.close()
-
-    task = loop.create_task(del_folder(bucket, prefixes))
-    loop.run_until_complete(task)
+    delreqs = []
+    for key in keys:
+        delreqs.append(DeleteRequest(bucket, key))
+    S3Handler.delete_prefixes(delreqs)
 
 
 def check_dir_exists(path):
@@ -99,9 +85,8 @@ def check_dir_exists(path):
     s3, bucket_name, key_name = is_s3(path)
     if s3:
         try:
-            s3_handler = S3Handler()
             request = ListRequest(bucket_name, key_name)
-            folder = s3_handler.list_prefixes([request])[0]
+            folder = S3Handler.list_prefixes([request])[0]
             if len(folder) > 0 and has_training_ended(folder[-1]):
                 raise RuntimeError(
                     "The path:{} already exists on s3. "

smdebug/core/index_reader.py

@@ -256,8 +256,6 @@ def __init__(self, path):
         super().__init__(path)
         self.path = path
         _, self.bucket_name, self.prefix_name = is_s3(path)
-        self.s3_handler = S3Handler()
-
         self.index_file_cache = ReadIndexFilesCache()
 
     def _is_event_file_present(self, file):
@@ -274,7 +272,7 @@ def fetch_tensor_value(self, tensor_location: TensorLocation) -> np.ndarray:
         start = tensor_location.start_idx
         length = tensor_location.length
         request = [ReadObjectRequest(event_file_name, int(start), int(length))]
-        res = self.s3_handler.get_objects(request)
+        res = S3Handler.get_objects(request)
         tr = TensorReader(res[0])  # Access the only element in res
         tensor_tuple = list(tr.read_tensors())[0]  # Access the only element in the list
         tensor_name, step, tensor_data, mode, mode_step = tensor_tuple
@@ -323,7 +321,7 @@ def read_index_files(
                     )
                 self.index_file_cache.add(index_file, start_after_key)
 
-        responses = self.s3_handler.get_objects(object_requests)
+        responses = S3Handler.get_objects(object_requests)
         return responses, steps, start_after_key, workers
 
     def list_index_files(self, start_after_key=None):

smdebug/core/s3_utils.py

@@ -4,7 +4,7 @@
 
 # list_info will be a list of ListRequest objects. Returns list of lists of files for each request
 def _list_s3_prefixes(list_info):
-    files = S3Handler().list_prefixes(list_info)
+    files = S3Handler.list_prefixes(list_info)
     if len(files) == 1:
         files = files[0]
     return files

smdebug/trials/s3_trial.py

@@ -44,7 +44,6 @@ def __init__(
         self.prefix_name = os.path.join(prefix_name, "")
         self.path = "s3://" + os.path.join(self.bucket_name, self.prefix_name)
         self.index_reader = S3IndexReader(self.path)
-        self.s3_handler = S3Handler()
         self._load_collections()
         self._load_tensors()
 
@@ -67,7 +66,7 @@ def _read_collections(self, collection_files):
         first_collection_file = collection_files[0]  # First Collection File
         key = os.path.join(first_collection_file)
         collections_req = ReadObjectRequest(self._get_s3_location(key))
-        obj_data = self.s3_handler.get_objects([collections_req])[0]
+        obj_data = S3Handler.get_objects([collections_req])[0]
         obj_data = obj_data.decode("utf-8")
         self.collection_manager = CollectionManager.load_from_string(obj_data)
         self.num_workers = self.collection_manager.get_num_workers()

tests/analysis/utils.py

@@ -1,13 +1,11 @@
 # Standard Library
-import asyncio
 import os
 
 # Third Party
-import aioboto3
 import numpy as np
 
 # First Party
-from smdebug.core.access_layer.s3handler import ListRequest, S3Handler
+from smdebug.core.access_layer.s3handler import DeleteRequest, S3Handler
 from smdebug.core.collection_manager import CollectionManager
 from smdebug.core.config_constants import DEFAULT_COLLECTIONS_FILE_NAME
 from smdebug.core.writer import FileWriter
@@ -51,18 +49,5 @@ def check_trial(trial_obj, num_steps, num_tensors):
             assert v is not None
 
 
-async def del_prefix_helper(bucket, keys):
-    loop = asyncio.get_event_loop()
-    client = aioboto3.client("s3", loop=loop)
-    await asyncio.gather(*[client.delete_object(Bucket=bucket, Key=key) for key in keys])
-    await client.close()
-
-
 def delete_s3_prefix(bucket, prefix):
-    s3_handler = S3Handler()
-    list_req = [ListRequest(Bucket=bucket, Prefix=prefix)]
-    keys = s3_handler.list_prefixes(list_req)[0]
-
-    loop = asyncio.get_event_loop()
-    task = loop.create_task(del_prefix_helper(bucket, keys))
-    loop.run_until_complete(task)
+    S3Handler.delete_prefix(delete_request=DeleteRequest(Bucket=bucket, Prefix=prefix))