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Deno 2.2 Improves Dependency Management and Expands Node.js Compatibility
Deno 2.2 enhances Node.js compatibility, improves dependency management, adds OpenTelemetry support, and expands linting and task automation for developers.
Dblue stores is an abstraction and a collection of clients to interact with storages.
Dblue Store is an abstraction and a collection of clients to interact with cloud storages.
$ pip install -U dblue-stores
N.B. this module does not include by default the cloud storage's client requirements
to keep the library lightweight, the user needs to install the appropriate module to use with dblue-stores
.
pip install -U dblue-stores[s3]
pip install -U dblue-stores[gcs]
pip install -U dblue-stores[azure]
pip install -U dblue-stores[sftp]
This module includes clients and stores abstraction that can be used to interact with AWS S3, Azure Storage, Google Cloud Storage and SFTP.
from dblue_stores.stores.s3 import S3Store
s3_store = S3Store(
endpoint_url=...,
access_key=...,
secret_key=...,
session_token=...,
region=...
)
export AWS_ENDPOINT_URL=...
export AWS_ACCESS_KEY=...
export AWS_SECRET_KEY=...
export AWS_SECURITY_TOKEN=...
exprot AWS_REGION=...
And then you can instantiate the store
from dblue_stores.stores.s3 import S3Store
s3_store = S3Store()
from dblue_stores.stores.s3 import S3Store
s3_store = S3Store(client=client)
s3_store.list(bucket_name, prefix='', delimiter='', page_size=None, max_items=None, keys=True, prefixes=True)
s3_store.list_prefixes(bucket_name, prefix='', delimiter='', page_size=None, max_items=None)
s3_store.list_keys(bucket_name, prefix='', delimiter='', page_size=None, max_items=None)
s3_store.check_key(key, bucket_name=None)
s3_store.get_key(key, bucket_name=None)
s3_store.read_key(key, bucket_name=None)
s3_store.upload_bytes(bytes_data, key, bucket_name=None, overwrite=False, encrypt=False, acl=None)
s3_store.upload_string(string_data, key, bucket_name=None, overwrite=False, encrypt=False, acl=None, encoding='utf-8')
s3_store.upload_file(filename, key, bucket_name=None, overwrite=False, encrypt=False, acl=None, use_basename=True)
s3_store.download_file(key, local_path, bucket_name=None, use_basename=True)
s3_store.upload_dir(dirname, key, bucket_name=None, overwrite=False, encrypt=False, acl=None, use_basename=True)
s3_store.download_dir(key, local_path, bucket_name=None, use_basename=True)
from dblue_stores.stores.gcs import GCSStore
gcs_store = GCSStore(
project_id=...,
credentials=...,
key_path=...,
keyfile_dict=...,
scopes=...
)
from dblue_stores.stores.gcs import GCSStore
gcs_store = GCSStore(client=client)
gcs_store.list(key, bucket_name=None, path=None, delimiter='/', blobs=True, prefixes=True)
gcs_store.upload_file(filename, blob, bucket_name=None, use_basename=True)
gcs_store.download_file(blob, local_path, bucket_name=None, use_basename=True)
gcs_store.upload_dir(dirname, blob, bucket_name=None, use_basename=True)
gcs_store.download_dir(blob, local_path, bucket_name=None, use_basename=True)
from dblue_stores.stores.azure import AzureStore
az_store = AzureStore(
account_name=...,
account_key=...,
connection_string=...
)
export AZURE_ACCOUNT_NAME=...
export AZURE_ACCOUNT_KEY=...
export AZURE_CONNECTION_STRING=...
And then you can instantiate the store
from dblue_stores.stores.azure import AzureStore
az_store = AzureStore()
from dblue_stores.stores.azure import AzureStore
az_store = AzureStore(client=client)
az_store.list(key, container_name=None, path=None, delimiter='/', blobs=True, prefixes=True)
az_store.upload_file(filename, blob, container_name=None, use_basename=True)
az_store.download_file(blob, local_path, container_name=None, use_basename=True)
az_store.upload_dir(dirname, blob, container_name=None, use_basename=True)
az_store.download_dir(blob, local_path, container_name=None, use_basename=True)
pytest
pip install twine
python setup.py sdist
twine upload dist/*
Most of the code are borrowed from https://github.com/polyaxon/polystores
FAQs
Dblue stores is an abstraction and a collection of clients to interact with storages.
We found that dblue-stores demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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