S3Packer now takes a URL as endpoint, not a hostname

README.md

@@ -21,7 +21,7 @@ BAT Pack supports uploading to S3-compatible storage. This requires a credential
 You can then send a BAT Pack to the storage using a target `s3:/ENDPOINT/bucketname/path-in-bucket`,
 for example:
 
-    bat pack my_blendfile.blend s3:/storage.qarnot.com/jobs/awesome_work
+    bat pack my_blendfile.blend s3:/storage.service.cloud/jobs/awesome_work
 
 This will upload the blend file and its dependencies to `awesome_work/my_blendfile.blend` in
 the `jobs` bucket.

blender_asset_tracer/cli/pack.py

@@ -87,7 +87,7 @@ def create_s3packer(bpath, ppath, tpath) -> pack.Packer:
 
     # Split the target path into 's3:/', hostname, and actual target path
     parts = tpath.parts
-    endpoint = parts[1]
+    endpoint = 'https://%s/' % parts[1]
     tpath = pathlib.Path(*tpath.parts[2:])
     log.info('Uploading to S3-compatible storage %s at %s', endpoint, tpath)
 

blender_asset_tracer/pack/s3.py

@@ -23,7 +23,7 @@ import typing
 import hashlib
 import logging
 import pathlib
-import threading
+import urllib.parse
 
 from . import Packer, transfer
 
@@ -31,6 +31,7 @@ log = logging.getLogger(__name__)
 
 
 def compute_md5(filepath: pathlib.Path) -> str:
+    log.debug('Computing MD5sum of %s', filepath)
     hasher = hashlib.md5()
     with filepath.open('rb') as infile:
         while True:
@@ -39,6 +40,7 @@ def compute_md5(filepath: pathlib.Path) -> str:
                 break
             hasher.update(block)
     md5 = hasher.hexdigest()
+    log.debug('MD5sum of %s is %s', filepath, md5)
     return md5
 
 
@@ -46,23 +48,30 @@ class S3Packer(Packer):
     """Creates BAT Packs on S3-compatible storage."""
 
     def __init__(self, *args, endpoint, **kwargs) -> None:
+        """Constructor
+
+        :param endpoint: URL of the S3 storage endpoint
+        """
         super().__init__(*args, **kwargs)
         import boto3
 
         # Create a session so that credentials can be read from the [endpoint]
         # section in ~/.aws/credentials.
         # See https://boto3.readthedocs.io/en/latest/guide/configuration.html#guide-configuration
-        self.session = boto3.Session(profile_name=endpoint)
-        self.client = self.session.client('s3', endpoint_url='https://%s' % endpoint)
+        components = urllib.parse.urlparse(endpoint)
+        profile_name = components.netloc
+        endpoint = urllib.parse.urlunparse(components)
+        log.debug('Using Boto3 profile name %r for url %r', profile_name, endpoint)
+        self.session = boto3.Session(profile_name=profile_name)
+
+        self.client = self.session.client('s3', endpoint_url=endpoint)
 
     def set_credentials(self,
                         endpoint: str,
                         access_key_id: str,
                         secret_access_key: str):
         """Set S3 credentials."""
-        import boto3
-
-        self.client = boto3.client('s3',
+        self.client = self.session.client('s3',
                                           endpoint_url=endpoint,
                                           aws_access_key_id=access_key_id,
                                           aws_secret_access_key=secret_access_key)