本文整理汇总了Python中gcloud.storage.bucket.Bucket.from_dict方法的典型用法代码示例。如果您正苦于以下问题：Python Bucket.from_dict方法的具体用法？Python Bucket.from_dict怎么用？Python Bucket.from_dict使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类gcloud.storage.bucket.Bucket的用法示例。
在下文中一共展示了Bucket.from_dict方法的4个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: get_bucket
# 需要导入模块: from gcloud.storage.bucket import Bucket [as 别名]
# 或者: from gcloud.storage.bucket.Bucket import from_dict [as 别名]
def get_bucket(self, bucket_name, *args, **kwargs):
"""Get a bucket by name.
If the bucket isn't found,
this will raise a :class:`gcloud.storage.exceptions.NotFoundError`.
If you would rather get a bucket by name,
and return ``None`` if the bucket isn't found
(like ``{}.get('...')``)
then use :func:`Connection.lookup`.
For example::
>>> from gcloud import storage
>>> from gcloud.storage import exceptions
>>> connection = storage.get_connection(project, email, key_path)
>>> try:
>>> bucket = connection.get_bucket('my-bucket')
>>> except exceptions.NotFoundError:
>>> print 'Sorry, that bucket does not exist!'
:type bucket_name: string
:param bucket_name: The name of the bucket to get.
:rtype: :class:`gcloud.storage.bucket.Bucket`
:returns: The bucket matching the name provided.
:raises: :class:`gcloud.storage.exceptions.NotFoundError`
"""
# TODO: URL-encode the bucket name to be safe?
bucket = self.new_bucket(bucket_name)
response = self.api_request(method='GET', path=bucket.path)
return Bucket.from_dict(response, connection=self)示例2: get_items_from_response
# 需要导入模块: from gcloud.storage.bucket import Bucket [as 别名]
# 或者: from gcloud.storage.bucket.Bucket import from_dict [as 别名]
def get_items_from_response(self, response):
"""Factory method which yields :class:`.Bucket` items from a response.
:type response: dict
:param response: The JSON API response for a page of buckets.
"""
for item in response.get('items', []):
yield Bucket.from_dict(item, connection=self.connection)示例3: create_bucket
# 需要导入模块: from gcloud.storage.bucket import Bucket [as 别名]
# 或者: from gcloud.storage.bucket.Bucket import from_dict [as 别名]
def create_bucket(self, bucket, *args, **kwargs):
"""Create a new bucket.
For example::
>>> from gcloud import storage
>>> connection = storage.get_connection(project, client, key_path)
>>> bucket = connection.create_bucket('my-bucket')
>>> print bucket
<Bucket: my-bucket>
:type bucket: string or :class:`gcloud.storage.bucket.Bucket`
:param bucket: The bucket name (or bucket object) to create.
:rtype: :class:`gcloud.storage.bucket.Bucket`
:returns: The newly created bucket.
"""
bucket = self.new_bucket(bucket)
response = self.api_request(method='POST', path='/b',
data={'name': bucket.name})
return Bucket.from_dict(response, connection=self)示例4: create_bucket
# 需要导入模块: from gcloud.storage.bucket import Bucket [as 别名]
# 或者: from gcloud.storage.bucket.Bucket import from_dict [as 别名]
def create_bucket(self, bucket):
"""Create a new bucket.
For example::
>>> from gcloud import storage
>>> connection = storage.get_connection(project, client, key_path)
>>> bucket = connection.create_bucket('my-bucket')
>>> print bucket
<Bucket: my-bucket>
:type bucket: string or :class:`gcloud.storage.bucket.Bucket`
:param bucket: The bucket name (or bucket object) to create.
:rtype: :class:`gcloud.storage.bucket.Bucket`
:returns: The newly created bucket.
:raises: :class:`gcloud.storage.exceptions.Conflict` if
there is a confict (bucket already exists, invalid name, etc.)
"""
bucket = self.new_bucket(bucket)
response = self.api_request(method='POST', path='/b',
data={'name': bucket.name})
return Bucket.from_dict(response, connection=self)