cloudpathlib.AzureBlobClient¶
Client class for Azure Blob Storage which handles authentication with Azure for
AzureBlobPath instances. See documentation for the
__init__ method for detailed
authentication options.
Source code in cloudpathlib/azure/azblobclient.py
class AzureBlobClient(Client):
"""Client class for Azure Blob Storage which handles authentication with Azure for
[`AzureBlobPath`](../azblobpath/) instances. See documentation for the
[`__init__` method][cloudpathlib.azure.azblobclient.AzureBlobClient.__init__] for detailed
authentication options.
"""
def __init__(
self,
account_url: Optional[str] = None,
credential: Optional[Any] = None,
connection_string: Optional[str] = None,
blob_service_client: Optional["BlobServiceClient"] = None,
data_lake_client: Optional["DataLakeServiceClient"] = None,
file_cache_mode: Optional[Union[str, FileCacheMode]] = None,
local_cache_dir: Optional[Union[str, os.PathLike]] = None,
content_type_method: Optional[Callable] = mimetypes.guess_type,
):
"""Class constructor. Sets up a [`BlobServiceClient`](
https://docs.microsoft.com/en-us/python/api/azure-storage-blob/azure.storage.blob.blobserviceclient?view=azure-python).
Supports the following authentication methods of `BlobServiceClient`.
- Environment variable `""AZURE_STORAGE_CONNECTION_STRING"` containing connecting string
with account credentials. See [Azure Storage SDK documentation](
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-quickstart-blobs-python#copy-your-credentials-from-the-azure-portal).
- Connection string via `connection_string`, authenticated either with an embedded SAS
token or with credentials passed to `credentials`.
- Account URL via `account_url`, authenticated either with an embedded SAS token, or with
credentials passed to `credentials`.
- Instantiated and already authenticated [`BlobServiceClient`](
https://docs.microsoft.com/en-us/python/api/azure-storage-blob/azure.storage.blob.blobserviceclient?view=azure-python) or
[`DataLakeServiceClient`](https://learn.microsoft.com/en-us/python/api/azure-storage-file-datalake/azure.storage.filedatalake.datalakeserviceclient).
If multiple methods are used, priority order is reverse of list above (later in list takes
priority). If no methods are used, a [`MissingCredentialsError`][cloudpathlib.exceptions.MissingCredentialsError]
exception will be raised raised.
Args:
account_url (Optional[str]): The URL to the blob storage account, optionally
authenticated with a SAS token. See documentation for [`BlobServiceClient`](
https://docs.microsoft.com/en-us/python/api/azure-storage-blob/azure.storage.blob.blobserviceclient?view=azure-python).
credential (Optional[Any]): Credentials with which to authenticate. Can be used with
`account_url` or `connection_string`, but is unnecessary if the other already has
an SAS token. See documentation for [`BlobServiceClient`](
https://docs.microsoft.com/en-us/python/api/azure-storage-blob/azure.storage.blob.blobserviceclient?view=azure-python)
or [`BlobServiceClient.from_connection_string`](
https://docs.microsoft.com/en-us/python/api/azure-storage-blob/azure.storage.blob.blobserviceclient?view=azure-python#from-connection-string-conn-str--credential-none----kwargs-).
connection_string (Optional[str]): A connection string to an Azure Storage account. See
[Azure Storage SDK documentation](
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-quickstart-blobs-python#copy-your-credentials-from-the-azure-portal).
blob_service_client (Optional[BlobServiceClient]): Instantiated [`BlobServiceClient`](
https://docs.microsoft.com/en-us/python/api/azure-storage-blob/azure.storage.blob.blobserviceclient?view=azure-python).
data_lake_client (Optional[DataLakeServiceClient]): Instantiated [`DataLakeServiceClient`](
https://learn.microsoft.com/en-us/python/api/azure-storage-file-datalake/azure.storage.filedatalake.datalakeserviceclient).
If None and `blob_service_client` is passed, we will create based on that.
Otherwise, will create based on passed credential, account_url, connection_string, or AZURE_STORAGE_CONNECTION_STRING env var
file_cache_mode (Optional[Union[str, FileCacheMode]]): How often to clear the file cache; see
[the caching docs](https://cloudpathlib.drivendata.org/stable/caching/) for more information
about the options in cloudpathlib.eums.FileCacheMode.
local_cache_dir (Optional[Union[str, os.PathLike]]): Path to directory to use as cache
for downloaded files. If None, will use a temporary directory. Default can be set with
the `CLOUDPATHLIB_LOCAL_CACHE_DIR` environment variable.
content_type_method (Optional[Callable]): Function to call to guess media type (mimetype) when
writing a file to the cloud. Defaults to `mimetypes.guess_type`. Must return a tuple (content type, content encoding).
"""
super().__init__(
local_cache_dir=local_cache_dir,
content_type_method=content_type_method,
file_cache_mode=file_cache_mode,
)
if connection_string is None:
connection_string = os.getenv("AZURE_STORAGE_CONNECTION_STRING", None)
self.data_lake_client = None # only needs to end up being set if HNS is enabled
if blob_service_client is not None:
self.service_client = blob_service_client
# create from blob service client if not passed
if data_lake_client is None:
self.data_lake_client = DataLakeServiceClient(
account_url=self.service_client.url.replace(".blob.", ".dfs.", 1),
credential=AzureNamedKeyCredential(
blob_service_client.credential.account_name,
blob_service_client.credential.account_key,
),
)
else:
self.data_lake_client = data_lake_client
elif data_lake_client is not None:
self.data_lake_client = data_lake_client
if blob_service_client is None:
self.service_client = BlobServiceClient(
account_url=self.data_lake_client.url.replace(".dfs.", ".blob.", 1),
credential=AzureNamedKeyCredential(
data_lake_client.credential.account_name,
data_lake_client.credential.account_key,
),
)
elif connection_string is not None:
self.service_client = BlobServiceClient.from_connection_string(
conn_str=connection_string, credential=credential
)
self.data_lake_client = DataLakeServiceClient.from_connection_string(
conn_str=connection_string, credential=credential
)
elif account_url is not None:
if ".dfs." in account_url:
self.service_client = BlobServiceClient(
account_url=account_url.replace(".dfs.", ".blob."), credential=credential
)
self.data_lake_client = DataLakeServiceClient(
account_url=account_url, credential=credential
)
elif ".blob." in account_url:
self.service_client = BlobServiceClient(
account_url=account_url, credential=credential
)
self.data_lake_client = DataLakeServiceClient(
account_url=account_url.replace(".blob.", ".dfs."), credential=credential
)
else:
# assume default to blob; HNS not supported
self.service_client = BlobServiceClient(
account_url=account_url, credential=credential
)
else:
raise MissingCredentialsError(
"AzureBlobClient does not support anonymous instantiation. "
"Credentials are required; see docs for options."
)
self._hns_enabled = None
def _check_hns(self) -> Optional[bool]:
if self._hns_enabled is None:
account_info = self.service_client.get_account_information() # type: ignore
self._hns_enabled = account_info.get("is_hns_enabled", False) # type: ignore
return self._hns_enabled
def _get_metadata(
self, cloud_path: AzureBlobPath
) -> Union["BlobProperties", "FileProperties", Dict[str, Any]]:
if self._check_hns():
# works on both files and directories
fsc = self.data_lake_client.get_file_system_client(cloud_path.container) # type: ignore
if fsc is not None:
properties = fsc.get_file_client(cloud_path.blob).get_file_properties()
# no content settings on directory
properties["content_type"] = properties.get(
"content_settings", {"content_type": None}
).get("content_type")
else:
blob = self.service_client.get_blob_client(
container=cloud_path.container, blob=cloud_path.blob
)
properties = blob.get_blob_properties()
properties["content_type"] = properties.content_settings.content_type
return properties
@staticmethod
def _partial_filename(local_path) -> Path:
return Path(str(local_path) + ".part")
def _download_file(
self, cloud_path: AzureBlobPath, local_path: Union[str, os.PathLike]
) -> Path:
blob = self.service_client.get_blob_client(
container=cloud_path.container, blob=cloud_path.blob
)
download_stream = blob.download_blob()
local_path = Path(local_path)
local_path.parent.mkdir(exist_ok=True, parents=True)
try:
partial_local_path = self._partial_filename(local_path)
with partial_local_path.open("wb") as data:
download_stream.readinto(data)
partial_local_path.replace(local_path)
except: # noqa: E722
# remove any partial download
if partial_local_path.exists():
partial_local_path.unlink()
raise
return local_path
def _is_file_or_dir(self, cloud_path: AzureBlobPath) -> Optional[str]:
# short-circuit the root-level container
if not cloud_path.blob:
return "dir"
try:
meta = self._get_metadata(cloud_path)
# if hns, has is_directory property; else if not hns, _get_metadata will raise if not a file
return (
"dir"
if meta.get("is_directory", False)
or meta.get("metadata", {}).get("hdi_isfolder", False)
else "file"
)
# thrown if not HNS and file does not exist _or_ is dir; check if is dir instead
except ResourceNotFoundError:
prefix = cloud_path.blob
if prefix and not prefix.endswith("/"):
prefix += "/"
# not a file, see if it is a directory
container_client = self.service_client.get_container_client(cloud_path.container)
try:
next(container_client.list_blobs(name_starts_with=prefix))
return "dir"
except StopIteration:
return None
def _exists(self, cloud_path: AzureBlobPath) -> bool:
# short circuit when only the container
if not cloud_path.blob:
return self.service_client.get_container_client(cloud_path.container).exists()
return self._is_file_or_dir(cloud_path) in ["file", "dir"]
def _list_dir(
self, cloud_path: AzureBlobPath, recursive: bool = False
) -> Iterable[Tuple[AzureBlobPath, bool]]:
if not cloud_path.container:
for container in self.service_client.list_containers():
yield self.CloudPath(f"{cloud_path.cloud_prefix}{container.name}"), True
if not recursive:
continue
yield from self._list_dir(
self.CloudPath(f"{cloud_path.cloud_prefix}{container.name}"), recursive=True
)
return
container_client = self.service_client.get_container_client(cloud_path.container)
prefix = cloud_path.blob
if prefix and not prefix.endswith("/"):
prefix += "/"
if self._check_hns():
file_system_client = self.data_lake_client.get_file_system_client(cloud_path.container) # type: ignore
paths = file_system_client.get_paths(path=cloud_path.blob, recursive=recursive)
for path in paths:
yield self.CloudPath(
f"{cloud_path.cloud_prefix}{cloud_path.container}/{path.name}"
), path.is_directory
else:
if not recursive:
blobs = container_client.walk_blobs(name_starts_with=prefix)
else:
blobs = container_client.list_blobs(name_starts_with=prefix)
for blob in blobs:
# walk_blobs returns folders with a trailing slash
blob_path = blob.name.rstrip("/")
blob_cloud_path = self.CloudPath(
f"{cloud_path.cloud_prefix}{cloud_path.container}/{blob_path}"
)
yield blob_cloud_path, (
isinstance(blob, BlobPrefix)
if not recursive
else False # no folders from list_blobs in non-hns storage accounts
)
def _move_file(
self, src: AzureBlobPath, dst: AzureBlobPath, remove_src: bool = True
) -> AzureBlobPath:
# just a touch, so "REPLACE" metadata
if src == dst:
blob_client = self.service_client.get_blob_client(
container=src.container, blob=src.blob
)
blob_client.set_blob_metadata(
metadata=dict(last_modified=str(datetime.utcnow().timestamp()))
)
# we can use rename API when the same account on adls gen2
elif remove_src and (src.client is dst.client) and self._check_hns():
fsc = self.data_lake_client.get_file_system_client(src.container) # type: ignore
if src.is_dir():
fsc.get_directory_client(src.blob).rename_directory(f"{dst.container}/{dst.blob}")
else:
dst.parent.mkdir(parents=True, exist_ok=True)
fsc.get_file_client(src.blob).rename_file(f"{dst.container}/{dst.blob}")
else:
target = self.service_client.get_blob_client(container=dst.container, blob=dst.blob)
source = self.service_client.get_blob_client(container=src.container, blob=src.blob)
target.start_copy_from_url(source.url)
if remove_src:
self._remove(src)
return dst
def _mkdir(
self, cloud_path: AzureBlobPath, parents: bool = False, exist_ok: bool = False
) -> None:
if self._check_hns():
file_system_client = self.data_lake_client.get_file_system_client(cloud_path.container) # type: ignore
directory_client = file_system_client.get_directory_client(cloud_path.blob)
if not exist_ok and directory_client.exists():
raise FileExistsError(f"Directory already exists: {cloud_path}")
if not parents:
if not self._exists(cloud_path.parent):
raise FileNotFoundError(
f"Parent directory does not exist ({cloud_path.parent}). To create parent directories, use `parents=True`."
)
directory_client.create_directory()
else:
# consistent with other mkdir no-op behavior on other backends if not supported
pass
def _remove(self, cloud_path: AzureBlobPath, missing_ok: bool = True) -> None:
file_or_dir = self._is_file_or_dir(cloud_path)
if file_or_dir == "dir":
if self._check_hns():
_hns_rmtree(self.data_lake_client, cloud_path.container, cloud_path.blob)
return
blobs = [
b.blob for b, is_dir in self._list_dir(cloud_path, recursive=True) if not is_dir
]
container_client = self.service_client.get_container_client(cloud_path.container)
container_client.delete_blobs(*blobs)
elif file_or_dir == "file":
blob = self.service_client.get_blob_client(
container=cloud_path.container, blob=cloud_path.blob
)
blob.delete_blob()
else:
# Does not exist
if not missing_ok:
raise FileNotFoundError(f"File does not exist: {cloud_path}")
def _upload_file(
self, local_path: Union[str, os.PathLike], cloud_path: AzureBlobPath
) -> AzureBlobPath:
blob = self.service_client.get_blob_client(
container=cloud_path.container, blob=cloud_path.blob
)
extra_args = {}
if self.content_type_method is not None:
content_type, content_encoding = self.content_type_method(str(local_path))
if content_type is not None:
extra_args["content_type"] = content_type
if content_encoding is not None:
extra_args["content_encoding"] = content_encoding
content_settings = ContentSettings(**extra_args)
with Path(local_path).open("rb") as data:
blob.upload_blob(data, overwrite=True, content_settings=content_settings) # type: ignore
return cloud_path
def _get_public_url(self, cloud_path: AzureBlobPath) -> str:
blob_client = self.service_client.get_blob_client(
container=cloud_path.container, blob=cloud_path.blob
)
return blob_client.url
def _generate_presigned_url(
self, cloud_path: AzureBlobPath, expire_seconds: int = 60 * 60
) -> str:
sas_token = generate_blob_sas(
self.service_client.account_name,
container_name=cloud_path.container,
blob_name=cloud_path.blob,
account_key=self.service_client.credential.account_key,
permission=BlobSasPermissions(read=True),
expiry=datetime.utcnow() + timedelta(seconds=expire_seconds),
)
url = f"{self._get_public_url(cloud_path)}?{sas_token}"
return url
Methods¶
AzureBlobPath(self, cloud_path: Union[str, ~BoundedCloudPath]) -> ~BoundedCloudPath
¶
Source code in cloudpathlib/azure/azblobclient.py
def CloudPath(self, cloud_path: Union[str, BoundedCloudPath]) -> BoundedCloudPath:
return self._cloud_meta.path_class(cloud_path=cloud_path, client=self) # type: ignore
__init__(self, account_url: Optional[str] = None, credential: Optional[Any] = None, connection_string: Optional[str] = None, blob_service_client: Optional[BlobServiceClient] = None, data_lake_client: Optional[DataLakeServiceClient] = None, file_cache_mode: Union[str, cloudpathlib.enums.FileCacheMode] = None, local_cache_dir: Union[str, os.PathLike] = None, content_type_method: Optional[Callable] = <function guess_type at 0x7f97083a94c0>)
special
¶
Class constructor. Sets up a BlobServiceClient.
Supports the following authentication methods of BlobServiceClient.
- Environment variable
""AZURE_STORAGE_CONNECTION_STRING"containing connecting string with account credentials. See Azure Storage SDK documentation. - Connection string via
connection_string, authenticated either with an embedded SAS token or with credentials passed tocredentials. - Account URL via
account_url, authenticated either with an embedded SAS token, or with credentials passed tocredentials. - Instantiated and already authenticated
BlobServiceClientorDataLakeServiceClient.
If multiple methods are used, priority order is reverse of list above (later in list takes
priority). If no methods are used, a MissingCredentialsError
exception will be raised raised.
Parameters:
| Name | Type | Description | Default |
|---|---|---|---|
account_url |
Optional[str] |
The URL to the blob storage account, optionally
authenticated with a SAS token. See documentation for |
None |
credential |
Optional[Any] |
Credentials with which to authenticate. Can be used with
|
None |
connection_string |
Optional[str] |
A connection string to an Azure Storage account. See Azure Storage SDK documentation. |
None |
blob_service_client |
Optional[BlobServiceClient] |
Instantiated |
None |
data_lake_client |
Optional[DataLakeServiceClient] |
Instantiated |
None |
file_cache_mode |
Optional[Union[str, FileCacheMode]] |
How often to clear the file cache; see the caching docs for more information about the options in cloudpathlib.eums.FileCacheMode. |
None |
local_cache_dir |
Optional[Union[str, os.PathLike]] |
Path to directory to use as cache
for downloaded files. If None, will use a temporary directory. Default can be set with
the |
None |
content_type_method |
Optional[Callable] |
Function to call to guess media type (mimetype) when
writing a file to the cloud. Defaults to |
<function guess_type at 0x7f97083a94c0> |
Source code in cloudpathlib/azure/azblobclient.py
def __init__(
self,
account_url: Optional[str] = None,
credential: Optional[Any] = None,
connection_string: Optional[str] = None,
blob_service_client: Optional["BlobServiceClient"] = None,
data_lake_client: Optional["DataLakeServiceClient"] = None,
file_cache_mode: Optional[Union[str, FileCacheMode]] = None,
local_cache_dir: Optional[Union[str, os.PathLike]] = None,
content_type_method: Optional[Callable] = mimetypes.guess_type,
):
"""Class constructor. Sets up a [`BlobServiceClient`](
https://docs.microsoft.com/en-us/python/api/azure-storage-blob/azure.storage.blob.blobserviceclient?view=azure-python).
Supports the following authentication methods of `BlobServiceClient`.
- Environment variable `""AZURE_STORAGE_CONNECTION_STRING"` containing connecting string
with account credentials. See [Azure Storage SDK documentation](
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-quickstart-blobs-python#copy-your-credentials-from-the-azure-portal).
- Connection string via `connection_string`, authenticated either with an embedded SAS
token or with credentials passed to `credentials`.
- Account URL via `account_url`, authenticated either with an embedded SAS token, or with
credentials passed to `credentials`.
- Instantiated and already authenticated [`BlobServiceClient`](
https://docs.microsoft.com/en-us/python/api/azure-storage-blob/azure.storage.blob.blobserviceclient?view=azure-python) or
[`DataLakeServiceClient`](https://learn.microsoft.com/en-us/python/api/azure-storage-file-datalake/azure.storage.filedatalake.datalakeserviceclient).
If multiple methods are used, priority order is reverse of list above (later in list takes
priority). If no methods are used, a [`MissingCredentialsError`][cloudpathlib.exceptions.MissingCredentialsError]
exception will be raised raised.
Args:
account_url (Optional[str]): The URL to the blob storage account, optionally
authenticated with a SAS token. See documentation for [`BlobServiceClient`](
https://docs.microsoft.com/en-us/python/api/azure-storage-blob/azure.storage.blob.blobserviceclient?view=azure-python).
credential (Optional[Any]): Credentials with which to authenticate. Can be used with
`account_url` or `connection_string`, but is unnecessary if the other already has
an SAS token. See documentation for [`BlobServiceClient`](
https://docs.microsoft.com/en-us/python/api/azure-storage-blob/azure.storage.blob.blobserviceclient?view=azure-python)
or [`BlobServiceClient.from_connection_string`](
https://docs.microsoft.com/en-us/python/api/azure-storage-blob/azure.storage.blob.blobserviceclient?view=azure-python#from-connection-string-conn-str--credential-none----kwargs-).
connection_string (Optional[str]): A connection string to an Azure Storage account. See
[Azure Storage SDK documentation](
https://docs.microsoft.com/en-us/azure/storage/blobs/storage-quickstart-blobs-python#copy-your-credentials-from-the-azure-portal).
blob_service_client (Optional[BlobServiceClient]): Instantiated [`BlobServiceClient`](
https://docs.microsoft.com/en-us/python/api/azure-storage-blob/azure.storage.blob.blobserviceclient?view=azure-python).
data_lake_client (Optional[DataLakeServiceClient]): Instantiated [`DataLakeServiceClient`](
https://learn.microsoft.com/en-us/python/api/azure-storage-file-datalake/azure.storage.filedatalake.datalakeserviceclient).
If None and `blob_service_client` is passed, we will create based on that.
Otherwise, will create based on passed credential, account_url, connection_string, or AZURE_STORAGE_CONNECTION_STRING env var
file_cache_mode (Optional[Union[str, FileCacheMode]]): How often to clear the file cache; see
[the caching docs](https://cloudpathlib.drivendata.org/stable/caching/) for more information
about the options in cloudpathlib.eums.FileCacheMode.
local_cache_dir (Optional[Union[str, os.PathLike]]): Path to directory to use as cache
for downloaded files. If None, will use a temporary directory. Default can be set with
the `CLOUDPATHLIB_LOCAL_CACHE_DIR` environment variable.
content_type_method (Optional[Callable]): Function to call to guess media type (mimetype) when
writing a file to the cloud. Defaults to `mimetypes.guess_type`. Must return a tuple (content type, content encoding).
"""
super().__init__(
local_cache_dir=local_cache_dir,
content_type_method=content_type_method,
file_cache_mode=file_cache_mode,
)
if connection_string is None:
connection_string = os.getenv("AZURE_STORAGE_CONNECTION_STRING", None)
self.data_lake_client = None # only needs to end up being set if HNS is enabled
if blob_service_client is not None:
self.service_client = blob_service_client
# create from blob service client if not passed
if data_lake_client is None:
self.data_lake_client = DataLakeServiceClient(
account_url=self.service_client.url.replace(".blob.", ".dfs.", 1),
credential=AzureNamedKeyCredential(
blob_service_client.credential.account_name,
blob_service_client.credential.account_key,
),
)
else:
self.data_lake_client = data_lake_client
elif data_lake_client is not None:
self.data_lake_client = data_lake_client
if blob_service_client is None:
self.service_client = BlobServiceClient(
account_url=self.data_lake_client.url.replace(".dfs.", ".blob.", 1),
credential=AzureNamedKeyCredential(
data_lake_client.credential.account_name,
data_lake_client.credential.account_key,
),
)
elif connection_string is not None:
self.service_client = BlobServiceClient.from_connection_string(
conn_str=connection_string, credential=credential
)
self.data_lake_client = DataLakeServiceClient.from_connection_string(
conn_str=connection_string, credential=credential
)
elif account_url is not None:
if ".dfs." in account_url:
self.service_client = BlobServiceClient(
account_url=account_url.replace(".dfs.", ".blob."), credential=credential
)
self.data_lake_client = DataLakeServiceClient(
account_url=account_url, credential=credential
)
elif ".blob." in account_url:
self.service_client = BlobServiceClient(
account_url=account_url, credential=credential
)
self.data_lake_client = DataLakeServiceClient(
account_url=account_url.replace(".blob.", ".dfs."), credential=credential
)
else:
# assume default to blob; HNS not supported
self.service_client = BlobServiceClient(
account_url=account_url, credential=credential
)
else:
raise MissingCredentialsError(
"AzureBlobClient does not support anonymous instantiation. "
"Credentials are required; see docs for options."
)
self._hns_enabled = None