Python config.Config方法代碼示例

# 需要導入模塊: from botocore import config [as 別名]
# 或者: from botocore.config import Config [as 別名]
def get_connection(conf):
    if boto3 is None:
        raise RuntimeError("boto3 unavailable")
    conn = boto3.client(
        's3',
        endpoint_url=conf.s3_endpoint_url,
        region_name=conf.s3_region_name,
        aws_access_key_id=conf.s3_access_key_id,
        aws_secret_access_key=conf.s3_secret_access_key,
        config=boto_config.Config(
            max_pool_connections=conf.s3_max_pool_connections))
    return conn, conf.s3_region_name, conf.s3_bucket_prefix


# NOTE(jd) OperationAborted might be raised if we try to create the bucket
# for the first time at the same time 

# 需要導入模塊: from botocore import config [as 別名]
# 或者: from botocore.config import Config [as 別名]
def sagemaker_session_with_custom_bucket(
    boto_session, sagemaker_client_config, sagemaker_runtime_config, custom_bucket_name
):
    sagemaker_client_config.setdefault("config", Config(retries=dict(max_attempts=10)))
    sagemaker_client = (
        boto_session.client("sagemaker", **sagemaker_client_config)
        if sagemaker_client_config
        else None
    )
    runtime_client = (
        boto_session.client("sagemaker-runtime", **sagemaker_runtime_config)
        if sagemaker_runtime_config
        else None
    )

    return Session(
        boto_session=boto_session,
        sagemaker_client=sagemaker_client,
        sagemaker_runtime_client=runtime_client,
        default_bucket=custom_bucket_name,
    ) 

# 需要導入模塊: from botocore import config [as 別名]
# 或者: from botocore.config import Config [as 別名]
def test_sagemaker_session_does_not_create_bucket_on_init(
    sagemaker_client_config, sagemaker_runtime_config, boto_session
):
    sagemaker_client_config.setdefault("config", Config(retries=dict(max_attempts=10)))
    sagemaker_client = (
        boto_session.client("sagemaker", **sagemaker_client_config)
        if sagemaker_client_config
        else None
    )
    runtime_client = (
        boto_session.client("sagemaker-runtime", **sagemaker_runtime_config)
        if sagemaker_runtime_config
        else None
    )

    Session(
        boto_session=boto_session,
        sagemaker_client=sagemaker_client,
        sagemaker_runtime_client=runtime_client,
        default_bucket=CUSTOM_BUCKET_NAME,
    )

    s3 = boto3.resource("s3", region_name=boto_session.region_name)
    assert s3.Bucket(CUSTOM_BUCKET_NAME).creation_date is None 

# 需要導入模塊: from botocore import config [as 別名]
# 或者: from botocore.config import Config [as 別名]
def sagemaker_session(sagemaker_client_config, sagemaker_runtime_config, boto_session):
    sagemaker_client_config.setdefault("config", Config(retries=dict(max_attempts=10)))
    sagemaker_client = (
        boto_session.client("sagemaker", **sagemaker_client_config)
        if sagemaker_client_config
        else None
    )
    runtime_client = (
        boto_session.client("sagemaker-runtime", **sagemaker_runtime_config)
        if sagemaker_runtime_config
        else None
    )

    return Session(
        boto_session=boto_session,
        sagemaker_client=sagemaker_client,
        sagemaker_runtime_client=runtime_client,
    ) 

# 需要導入模塊: from botocore import config [as 別名]
# 或者: from botocore.config import Config [as 別名]
def __init__(
        self,
        aws_conn_id: Optional[str] = "aws_default",
        verify: Union[bool, str, None] = None,
        region_name: Optional[str] = None,
        client_type: Optional[str] = None,
        resource_type: Optional[str] = None,
        config: Optional[Config] = None
    ) -> None:
        super().__init__()
        self.aws_conn_id = aws_conn_id
        self.verify = verify
        self.client_type = client_type
        self.resource_type = resource_type
        self.region_name = region_name
        self.config = config

        if not (self.client_type or self.resource_type):
            raise AirflowException(
                'Either client_type or resource_type'
                ' must be provided.')

    # pylint: disable=too-many-statements 

# 需要導入模塊: from botocore import config [as 別名]
# 或者: from botocore.config import Config [as 別名]
def delete_empty_log_streams(
    log_group_name_prefix: str = None,
    purge_non_empty: bool = False,
    dry_run: bool = False,
    region: str = None,
    profile: str = None,
):
    global cw_logs

    boto_session = boto3.Session(region_name=region, profile_name=profile)
    cw_logs = boto_session.client("logs", config=Config(retries=dict(max_attempts=10)))

    kwargs = {"PaginationConfig": {"PageSize": 50}}
    if log_group_name_prefix:
        kwargs["logGroupNamePrefix"] = log_group_name_prefix

    log.info("finding log groups with prefix %r", log_group_name_prefix)
    for response in cw_logs.get_paginator("describe_log_groups").paginate(**kwargs):
        for group in response["logGroups"]:
            _delete_empty_log_streams(group, purge_non_empty, dry_run) 

# 需要導入模塊: from botocore import config [as 別名]
# 或者: from botocore.config import Config [as 別名]
def handle(request, context):
    global cw_logs

    cw_logs = boto3.client("logs", config=Config(retries=dict(max_attempts=10)))

    dry_run = request.get("dry_run", False)
    if "dry_run" in request and not isinstance(dry_run, bool):
        raise ValueError(f"'dry_run' is not a boolean value, {request}")

    purge_non_empty = request.get("purge_non_empty", False)
    if "purge_non_empty" in request and not isinstance(dry_run, bool):
        raise ValueError(f"'purge_non_empty' is not a boolean value, {request}")

    log_group_name_prefix = request.get("log_group_name_prefix")
    if log_group_name_prefix:
        delete_empty_log_streams(log_group_name_prefix, purge_non_empty, dry_run)
    else:
        fan_out(
            context.invoked_function_arn,
            get_all_log_group_names(),
            purge_non_empty,
            dry_run,
        ) 

# 需要導入模塊: from botocore import config [as 別名]
# 或者: from botocore.config import Config [as 別名]
def __init__(self, resource, config, credentials=None, region_name=None):
        """Constructor

        :param resource: AWS specific token for resource type. e.g., 's3', 'sqs', etc.
        :type resource: string
        :param config: Resource specific configuration
        :type config: :class:`botocore.client.Config`
        :param credentials: Authentication values needed to access AWS. If no credentials are passed, then IAM
            role-based access is assumed.
        :type credentials: :class:`util.aws.AWSCredentials`
        :param region_name: The AWS region the resource resides in.
        :type region_name: string
        """

        self.credentials = credentials
        self.region_name = region_name
        self._client = None
        self._resource_name = resource
        self._config = config 

# 需要導入模塊: from botocore import config [as 別名]
# 或者: from botocore.config import Config [as 別名]
def _max_retries_config(self):
        """
        If a ``BOTO_MAX_RETRIES_<self.api_name>`` environment variable is set,
        return a new ``botocore.config.Config`` instance using that number
        as the retries max_attempts value.

        :rtype: ``botocore.config.Config`` or None
        """
        key = 'BOTO_MAX_RETRIES_%s' % self.api_name
        if key not in os.environ:
            return None
        try:
            max_retries = int(os.environ[key])
        except Exception:
            logger.error(
                'ERROR: Found "%s" environment variable, but unable to '
                'parse value "%s" to an integer.', key, os.environ[key]
            )
            return None
        logger.debug(
            'Setting explicit botocore retry config with max_attempts=%d '
            'for "%s" API based on %s environment variable.',
            max_retries, self.api_name, key
        )
        return Config(retries={'max_attempts': max_retries}) 

# 需要導入模塊: from botocore import config [as 別名]
# 或者: from botocore.config import Config [as 別名]
def __init__(self, client_kwargs=None):
        """Creates S3 clients for processes

        Botocore sessions and clients are not pickleable so they cannot be
        inherited across Process boundaries. Instead, they must be instantiated
        once a process is running.
        """
        self._client_kwargs = client_kwargs
        if self._client_kwargs is None:
            self._client_kwargs = {}

        client_config = deepcopy(self._client_kwargs.get('config', Config()))
        if not client_config.user_agent_extra:
            client_config.user_agent_extra = PROCESS_USER_AGENT
        else:
            client_config.user_agent_extra += " " + PROCESS_USER_AGENT
        self._client_kwargs['config'] = client_config 

# 需要導入模塊: from botocore import config [as 別名]
# 或者: from botocore.config import Config [as 別名]
def __init__(self, data):
        self.parsed_data = data = self._parse_data(data)
        self.endpoint_url = data.get('host')
        if self.endpoint_url and '://' not in self.endpoint_url:
            self.endpoint_url = 'https://' + self.endpoint_url
        self.session_kwargs = {}
        self.client_kwargs = {}
        if 'profile' in data:
            self.session_kwargs['profile_name'] = data['profile']
        if 'access_key' in data:
            self.session_kwargs['aws_access_key_id'] = data['access_key']
        if 'secret_key' in data:
            self.session_kwargs['aws_secret_access_key'] = data['secret_key']
        if 'addressing_style' in data:
            self.client_kwargs['config'] = Config(s3={'addressing_style': data['addressing_style']})
        self.bucket_policy_file = data.get('bucket_policy_file')
        self.bucket_versioning = data.get('bucket_versioning') in ('1', 'true', 'yes', 'on')
        if data.get('proxy') in ('1', 'true', 'yes', 'on'):
            self.proxy_downloads = ProxyDownloadsMode.local
        elif data.get('proxy') in ('xaccelredirect', 'nginx'):
            self.proxy_downloads = ProxyDownloadsMode.nginx
        else:
            self.proxy_downloads = ProxyDownloadsMode.disabled
        self.meta = data.get('meta') 

# 需要導入模塊: from botocore import config [as 別名]
# 或者: from botocore.config import Config [as 別名]
def iterate_datasets(bucket_name, config, prefix, suffix, start_date, end_date, func, unsafe, sources_policy):
    manager = Manager()
    queue = manager.Queue()

    s3 = boto3.resource('s3', config=Config(signature_version=UNSIGNED))
    bucket = s3.Bucket(bucket_name)
    logging.info("Bucket : %s prefix: %s ", bucket_name, str(prefix))
    # safety = 'safe' if not unsafe else 'unsafe'
    worker_count = cpu_count() * 2

    processess = []
    for i in range(worker_count):
        proc = Process(target=worker, args=(config, bucket_name, prefix, suffix, start_date, end_date, func, unsafe, sources_policy, queue,))
        processess.append(proc)
        proc.start()

    for obj in bucket.objects.filter(Prefix=str(prefix)):
        if (obj.key.endswith(suffix)):
            queue.put(obj.key)

    for i in range(worker_count):
        queue.put(GUARDIAN)

    for proc in processess:
        proc.join() 

# 需要導入模塊: from botocore import config [as 別名]
# 或者: from botocore.config import Config [as 別名]
def worker(parse_only, queue):
    s3 = boto3.resource("s3", config=Config(signature_version=UNSIGNED))
    dc = datacube.Datacube()
    idx = dc.index

    while True:
        try:
            url = queue.get(timeout=60)
            if url == STOP_SIGN:
                break
            logging.info("Processing {} {}".format(url, current_process()))
            index_dataset(idx, s3, url, parse_only)
            queue.task_done()
        except Empty:
            break
        except EOFError:
            break 

# 需要導入模塊: from botocore import config [as 別名]
# 或者: from botocore.config import Config [as 別名]
def fetch_autoclaved_bucket(dst_dir, bucket_date):
    print("Fetch bucket")
    dst_bucket_dir = os.path.join(dst_dir, bucket_date)
    if not os.path.exists(dst_bucket_dir):
        os.makedirs(dst_bucket_dir)
    client = boto3.client("s3", config=Config(signature_version=UNSIGNED))
    resource = boto3.resource("s3", config=Config(signature_version=UNSIGNED))

    prefix = "autoclaved/jsonl.tar.lz4/{}/".format(bucket_date)
    paginator = client.get_paginator("list_objects")
    for result in paginator.paginate(Bucket="ooni-data", Delimiter="/", Prefix=prefix):
        for f in result.get("Contents", []):
            fkey = f.get("Key")
            dst_pathname = os.path.join(dst_bucket_dir, os.path.basename(fkey))
            try:
                s = os.stat(dst_pathname)
                if s.st_size == f.get("Size"):
                    continue
            except Exception:  # XXX maybe make this more strict. It's FileNotFoundError on py3 and OSError on py2
                pass
            print("[+] Downloading {}".format(dst_pathname))
            resource.meta.client.download_file("ooni-data", fkey, dst_pathname) 

# 需要導入模塊: from botocore import config [as 別名]
# 或者: from botocore.config import Config [as 別名]
def test_connect_service(self):
        client = connect_service('iam', self.creds)
        client = connect_service('iam', self.creds, config={})
        client = connect_service('iam', self.creds, silent=True)
        client = connect_service('ec2', self.creds, region_name = 'us-east-1')
        try:
            client = connect_service('opinelunittest', creds)
            assert(False)
        except:
            pass
        config = Config(region_name = 'us-east-1')
        client = connect_service('ec2', self.creds, config = config)
        try:
            client = connect_service('ec2', self.creds, region_name = config)
            assert(False)
        except:
            pass