Remove telemetry/third_party/gsutilz

tools/telemetry/third_party/gsutilz/third_party/boto/boto/dynamodb/layer1.py

Index: tools/telemetry/third_party/gsutilz/third_party/boto/boto/dynamodb/layer1.py
diff --git a/tools/telemetry/third_party/gsutilz/third_party/boto/boto/dynamodb/layer1.py b/tools/telemetry/third_party/gsutilz/third_party/boto/boto/dynamodb/layer1.py
deleted file mode 100644
index 0984f71ab46d194a20b7356b7be2f2e75cdbe67b..0000000000000000000000000000000000000000
--- a/tools/telemetry/third_party/gsutilz/third_party/boto/boto/dynamodb/layer1.py
+++ /dev/null
@@ -1,577 +0,0 @@
-# Copyright (c) 2012 Mitch Garnaat http://garnaat.org/
-# Copyright (c) 2012 Amazon.com, Inc. or its affiliates.  All Rights Reserved
-#
-# Permission is hereby granted, free of charge, to any person obtaining a
-# copy of this software and associated documentation files (the
-# "Software"), to deal in the Software without restriction, including
-# without limitation the rights to use, copy, modify, merge, publish, dis-
-# tribute, sublicense, and/or sell copies of the Software, and to permit
-# persons to whom the Software is furnished to do so, subject to the fol-
-# lowing conditions:
-#
-# The above copyright notice and this permission notice shall be included
-# in all copies or substantial portions of the Software.
-#
-# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
-# OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABIL-
-# ITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT
-# SHALL THE AUTHOR BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
-# WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS
-# IN THE SOFTWARE.
-#
-import time
-from binascii import crc32
-
-import boto
-from boto.connection import AWSAuthConnection
-from boto.exception import DynamoDBResponseError
-from boto.provider import Provider
-from boto.dynamodb import exceptions as dynamodb_exceptions
-from boto.compat import json
-
-
-class Layer1(AWSAuthConnection):
-    """
-    This is the lowest-level interface to DynamoDB.  Methods at this
-    layer map directly to API requests and parameters to the methods
-    are either simple, scalar values or they are the Python equivalent
-    of the JSON input as defined in the DynamoDB Developer's Guide.
-    All responses are direct decoding of the JSON response bodies to
-    Python data structures via the json or simplejson modules.
-
-    :ivar throughput_exceeded_events: An integer variable that
-        keeps a running total of the number of ThroughputExceeded
-        responses this connection has received from Amazon DynamoDB.
-    """
-
-    DefaultRegionName = 'us-east-1'
-    """The default region name for DynamoDB API."""
-
-    ServiceName = 'DynamoDB'
-    """The name of the Service"""
-
-    Version = '20111205'
-    """DynamoDB API version."""
-
-    ThruputError = "ProvisionedThroughputExceededException"
-    """The error response returned when provisioned throughput is exceeded"""
-
-    SessionExpiredError = 'com.amazon.coral.service#ExpiredTokenException'
-    """The error response returned when session token has expired"""
-
-    ConditionalCheckFailedError = 'ConditionalCheckFailedException'
-    """The error response returned when a conditional check fails"""
-
-    ValidationError = 'ValidationException'
-    """The error response returned when an item is invalid in some way"""
-
-    ResponseError = DynamoDBResponseError
-
-    NumberRetries = 10
-    """The number of times an error is retried."""
-
-    def __init__(self, aws_access_key_id=None, aws_secret_access_key=None,
-                 is_secure=True, port=None, proxy=None, proxy_port=None,
-                 debug=0, security_token=None, region=None,
-                 validate_certs=True, validate_checksums=True, profile_name=None):
-        if not region:
-            region_name = boto.config.get('DynamoDB', 'region',
-                                          self.DefaultRegionName)
-            for reg in boto.dynamodb.regions():
-                if reg.name == region_name:
-                    region = reg
-                    break
-
-        self.region = region
-        super(Layer1, self).__init__(self.region.endpoint,
-                                   aws_access_key_id,
-                                   aws_secret_access_key,
-                                   is_secure, port, proxy, proxy_port,
-                                   debug=debug, security_token=security_token,
-                                   validate_certs=validate_certs,
-                                   profile_name=profile_name)
-        self.throughput_exceeded_events = 0
-        self._validate_checksums = boto.config.getbool(
-            'DynamoDB', 'validate_checksums', validate_checksums)
-
-    def _get_session_token(self):
-        self.provider = Provider(self._provider_type)
-        self._auth_handler.update_provider(self.provider)
-
-    def _required_auth_capability(self):
-        return ['hmac-v4']
-
-    def make_request(self, action, body='', object_hook=None):
-        """
-        :raises: ``DynamoDBExpiredTokenError`` if the security token expires.
-        """
-        headers = {'X-Amz-Target': '%s_%s.%s' % (self.ServiceName,
-                                                 self.Version, action),
-                   'Host': self.region.endpoint,
-                   'Content-Type': 'application/x-amz-json-1.0',
-                   'Content-Length': str(len(body))}
-        http_request = self.build_base_http_request('POST', '/', '/',
-                                                    {}, headers, body, None)
-        start = time.time()
-        response = self._mexe(http_request, sender=None,
-                              override_num_retries=self.NumberRetries,
-                              retry_handler=self._retry_handler)
-        elapsed = (time.time() - start) * 1000
-        request_id = response.getheader('x-amzn-RequestId')
-        boto.log.debug('RequestId: %s' % request_id)
-        boto.perflog.debug('%s: id=%s time=%sms',
-                           headers['X-Amz-Target'], request_id, int(elapsed))
-        response_body = response.read().decode('utf-8')
-        boto.log.debug(response_body)
-        return json.loads(response_body, object_hook=object_hook)
-
-    def _retry_handler(self, response, i, next_sleep):
-        status = None
-        if response.status == 400:
-            response_body = response.read().decode('utf-8')
-            boto.log.debug(response_body)
-            data = json.loads(response_body)
-            if self.ThruputError in data.get('__type'):
-                self.throughput_exceeded_events += 1
-                msg = "%s, retry attempt %s" % (self.ThruputError, i)
-                next_sleep = self._exponential_time(i)
-                i += 1
-                status = (msg, i, next_sleep)
-                if i == self.NumberRetries:
-                    # If this was our last retry attempt, raise
-                    # a specific error saying that the throughput
-                    # was exceeded.
-                    raise dynamodb_exceptions.DynamoDBThroughputExceededError(
-                        response.status, response.reason, data)
-            elif self.SessionExpiredError in data.get('__type'):
-                msg = 'Renewing Session Token'
-                self._get_session_token()
-                status = (msg, i + self.num_retries - 1, 0)
-            elif self.ConditionalCheckFailedError in data.get('__type'):
-                raise dynamodb_exceptions.DynamoDBConditionalCheckFailedError(
-                    response.status, response.reason, data)
-            elif self.ValidationError in data.get('__type'):
-                raise dynamodb_exceptions.DynamoDBValidationError(
-                    response.status, response.reason, data)
-            else:
-                raise self.ResponseError(response.status, response.reason,
-                                         data)
-        expected_crc32 = response.getheader('x-amz-crc32')
-        if self._validate_checksums and expected_crc32 is not None:
-            boto.log.debug('Validating crc32 checksum for body: %s',
-                           response.read().decode('utf-8'))
-            actual_crc32 = crc32(response.read()) & 0xffffffff
-            expected_crc32 = int(expected_crc32)
-            if actual_crc32 != expected_crc32:
-                msg = ("The calculated checksum %s did not match the expected "
-                       "checksum %s" % (actual_crc32, expected_crc32))
-                status = (msg, i + 1, self._exponential_time(i))
-        return status
-
-    def _exponential_time(self, i):
-        if i == 0:
-            next_sleep = 0
-        else:
-            next_sleep = min(0.05 * (2 ** i),
-                             boto.config.get('Boto', 'max_retry_delay', 60))
-        return next_sleep
-
-    def list_tables(self, limit=None, start_table=None):
-        """
-        Returns a dictionary of results.  The dictionary contains
-        a **TableNames** key whose value is a list of the table names.
-        The dictionary could also contain a **LastEvaluatedTableName**
-        key whose value would be the last table name returned if
-        the complete list of table names was not returned.  This
-        value would then be passed as the ``start_table`` parameter on
-        a subsequent call to this method.
-
-        :type limit: int
-        :param limit: The maximum number of tables to return.
-
-        :type start_table: str
-        :param start_table: The name of the table that starts the
-            list.  If you ran a previous list_tables and not
-            all results were returned, the response dict would
-            include a LastEvaluatedTableName attribute.  Use
-            that value here to continue the listing.
-        """
-        data = {}
-        if limit:
-            data['Limit'] = limit
-        if start_table:
-            data['ExclusiveStartTableName'] = start_table
-        json_input = json.dumps(data)
-        return self.make_request('ListTables', json_input)
-
-    def describe_table(self, table_name):
-        """
-        Returns information about the table including current
-        state of the table, primary key schema and when the
-        table was created.
-
-        :type table_name: str
-        :param table_name: The name of the table to describe.
-        """
-        data = {'TableName': table_name}
-        json_input = json.dumps(data)
-        return self.make_request('DescribeTable', json_input)
-
-    def create_table(self, table_name, schema, provisioned_throughput):
-        """
-        Add a new table to your account.  The table name must be unique
-        among those associated with the account issuing the request.
-        This request triggers an asynchronous workflow to begin creating
-        the table.  When the workflow is complete, the state of the
-        table will be ACTIVE.
-
-        :type table_name: str
-        :param table_name: The name of the table to create.
-
-        :type schema: dict
-        :param schema: A Python version of the KeySchema data structure
-            as defined by DynamoDB
-
-        :type provisioned_throughput: dict
-        :param provisioned_throughput: A Python version of the
-            ProvisionedThroughput data structure defined by
-            DynamoDB.
-        """
-        data = {'TableName': table_name,
-                'KeySchema': schema,
-                'ProvisionedThroughput': provisioned_throughput}
-        json_input = json.dumps(data)
-        response_dict = self.make_request('CreateTable', json_input)
-        return response_dict
-
-    def update_table(self, table_name, provisioned_throughput):
-        """
-        Updates the provisioned throughput for a given table.
-
-        :type table_name: str
-        :param table_name: The name of the table to update.
-
-        :type provisioned_throughput: dict
-        :param provisioned_throughput: A Python version of the
-            ProvisionedThroughput data structure defined by
-            DynamoDB.
-        """
-        data = {'TableName': table_name,
-                'ProvisionedThroughput': provisioned_throughput}
-        json_input = json.dumps(data)
-        return self.make_request('UpdateTable', json_input)
-
-    def delete_table(self, table_name):
-        """
-        Deletes the table and all of it's data.  After this request
-        the table will be in the DELETING state until DynamoDB
-        completes the delete operation.
-
-        :type table_name: str
-        :param table_name: The name of the table to delete.
-        """
-        data = {'TableName': table_name}
-        json_input = json.dumps(data)
-        return self.make_request('DeleteTable', json_input)
-
-    def get_item(self, table_name, key, attributes_to_get=None,
-                 consistent_read=False, object_hook=None):
-        """
-        Return a set of attributes for an item that matches
-        the supplied key.
-
-        :type table_name: str
-        :param table_name: The name of the table containing the item.
-
-        :type key: dict
-        :param key: A Python version of the Key data structure
-            defined by DynamoDB.
-
-        :type attributes_to_get: list
-        :param attributes_to_get: A list of attribute names.
-            If supplied, only the specified attribute names will
-            be returned.  Otherwise, all attributes will be returned.
-
-        :type consistent_read: bool
-        :param consistent_read: If True, a consistent read
-            request is issued.  Otherwise, an eventually consistent
-            request is issued.
-        """
-        data = {'TableName': table_name,
-                'Key': key}
-        if attributes_to_get:
-            data['AttributesToGet'] = attributes_to_get
-        if consistent_read:
-            data['ConsistentRead'] = True
-        json_input = json.dumps(data)
-        response = self.make_request('GetItem', json_input,
-                                     object_hook=object_hook)
-        if 'Item' not in response:
-            raise dynamodb_exceptions.DynamoDBKeyNotFoundError(
-                "Key does not exist."
-            )
-        return response
-
-    def batch_get_item(self, request_items, object_hook=None):
-        """
-        Return a set of attributes for a multiple items in
-        multiple tables using their primary keys.
-
-        :type request_items: dict
-        :param request_items: A Python version of the RequestItems
-            data structure defined by DynamoDB.
-        """
-        # If the list is empty, return empty response
-        if not request_items:
-            return {}
-        data = {'RequestItems': request_items}
-        json_input = json.dumps(data)
-        return self.make_request('BatchGetItem', json_input,
-                                 object_hook=object_hook)
-
-    def batch_write_item(self, request_items, object_hook=None):
-        """
-        This operation enables you to put or delete several items
-        across multiple tables in a single API call.
-
-        :type request_items: dict
-        :param request_items: A Python version of the RequestItems
-            data structure defined by DynamoDB.
-        """
-        data = {'RequestItems': request_items}
-        json_input = json.dumps(data)
-        return self.make_request('BatchWriteItem', json_input,
-                                 object_hook=object_hook)
-
-    def put_item(self, table_name, item,
-                 expected=None, return_values=None,
-                 object_hook=None):
-        """
-        Create a new item or replace an old item with a new
-        item (including all attributes).  If an item already
-        exists in the specified table with the same primary
-        key, the new item will completely replace the old item.
-        You can perform a conditional put by specifying an
-        expected rule.
-
-        :type table_name: str
-        :param table_name: The name of the table in which to put the item.
-
-        :type item: dict
-        :param item: A Python version of the Item data structure
-            defined by DynamoDB.
-
-        :type expected: dict
-        :param expected: A Python version of the Expected
-            data structure defined by DynamoDB.
-
-        :type return_values: str
-        :param return_values: Controls the return of attribute
-            name-value pairs before then were changed.  Possible
-            values are: None or 'ALL_OLD'. If 'ALL_OLD' is
-            specified and the item is overwritten, the content
-            of the old item is returned.
-        """
-        data = {'TableName': table_name,
-                'Item': item}
-        if expected:
-            data['Expected'] = expected
-        if return_values:
-            data['ReturnValues'] = return_values
-        json_input = json.dumps(data)
-        return self.make_request('PutItem', json_input,
-                                 object_hook=object_hook)
-
-    def update_item(self, table_name, key, attribute_updates,
-                    expected=None, return_values=None,
-                    object_hook=None):
-        """
-        Edits an existing item's attributes. You can perform a conditional
-        update (insert a new attribute name-value pair if it doesn't exist,
-        or replace an existing name-value pair if it has certain expected
-        attribute values).
-
-        :type table_name: str
-        :param table_name: The name of the table.
-
-        :type key: dict
-        :param key: A Python version of the Key data structure
-            defined by DynamoDB which identifies the item to be updated.
-
-        :type attribute_updates: dict
-        :param attribute_updates: A Python version of the AttributeUpdates
-            data structure defined by DynamoDB.
-
-        :type expected: dict
-        :param expected: A Python version of the Expected
-            data structure defined by DynamoDB.
-
-        :type return_values: str
-        :param return_values: Controls the return of attribute
-            name-value pairs before then were changed.  Possible
-            values are: None or 'ALL_OLD'. If 'ALL_OLD' is
-            specified and the item is overwritten, the content
-            of the old item is returned.
-        """
-        data = {'TableName': table_name,
-                'Key': key,
-                'AttributeUpdates': attribute_updates}
-        if expected:
-            data['Expected'] = expected
-        if return_values:
-            data['ReturnValues'] = return_values
-        json_input = json.dumps(data)
-        return self.make_request('UpdateItem', json_input,
-                                 object_hook=object_hook)
-
-    def delete_item(self, table_name, key,
-                    expected=None, return_values=None,
-                    object_hook=None):
-        """
-        Delete an item and all of it's attributes by primary key.
-        You can perform a conditional delete by specifying an
-        expected rule.
-
-        :type table_name: str
-        :param table_name: The name of the table containing the item.
-
-        :type key: dict
-        :param key: A Python version of the Key data structure
-            defined by DynamoDB.
-
-        :type expected: dict
-        :param expected: A Python version of the Expected
-            data structure defined by DynamoDB.
-
-        :type return_values: str
-        :param return_values: Controls the return of attribute
-            name-value pairs before then were changed.  Possible
-            values are: None or 'ALL_OLD'. If 'ALL_OLD' is
-            specified and the item is overwritten, the content
-            of the old item is returned.
-        """
-        data = {'TableName': table_name,
-                'Key': key}
-        if expected:
-            data['Expected'] = expected
-        if return_values:
-            data['ReturnValues'] = return_values
-        json_input = json.dumps(data)
-        return self.make_request('DeleteItem', json_input,
-                                 object_hook=object_hook)
-
-    def query(self, table_name, hash_key_value, range_key_conditions=None,
-              attributes_to_get=None, limit=None, consistent_read=False,
-              scan_index_forward=True, exclusive_start_key=None,
-              object_hook=None, count=False):
-        """
-        Perform a query of DynamoDB.  This version is currently punting
-        and expecting you to provide a full and correct JSON body
-        which is passed as is to DynamoDB.
-
-        :type table_name: str
-        :param table_name: The name of the table to query.
-
-        :type hash_key_value: dict
-        :param key: A DynamoDB-style HashKeyValue.
-
-        :type range_key_conditions: dict
-        :param range_key_conditions: A Python version of the
-            RangeKeyConditions data structure.
-
-        :type attributes_to_get: list
-        :param attributes_to_get: A list of attribute names.
-            If supplied, only the specified attribute names will
-            be returned.  Otherwise, all attributes will be returned.
-
-        :type limit: int
-        :param limit: The maximum number of items to return.
-
-        :type count: bool
-        :param count: If True, Amazon DynamoDB returns a total
-            number of items for the Query operation, even if the
-            operation has no matching items for the assigned filter.
-
-        :type consistent_read: bool
-        :param consistent_read: If True, a consistent read
-            request is issued.  Otherwise, an eventually consistent
-            request is issued.
-
-        :type scan_index_forward: bool
-        :param scan_index_forward: Specified forward or backward
-            traversal of the index.  Default is forward (True).
-
-        :type exclusive_start_key: list or tuple
-        :param exclusive_start_key: Primary key of the item from
-            which to continue an earlier query.  This would be
-            provided as the LastEvaluatedKey in that query.
-        """
-        data = {'TableName': table_name,
-                'HashKeyValue': hash_key_value}
-        if range_key_conditions:
-            data['RangeKeyCondition'] = range_key_conditions
-        if attributes_to_get:
-            data['AttributesToGet'] = attributes_to_get
-        if limit:
-            data['Limit'] = limit
-        if count:
-            data['Count'] = True
-        if consistent_read:
-            data['ConsistentRead'] = True
-        if scan_index_forward:
-            data['ScanIndexForward'] = True
-        else:
-            data['ScanIndexForward'] = False
-        if exclusive_start_key:
-            data['ExclusiveStartKey'] = exclusive_start_key
-        json_input = json.dumps(data)
-        return self.make_request('Query', json_input,
-                                 object_hook=object_hook)
-
-    def scan(self, table_name, scan_filter=None,
-             attributes_to_get=None, limit=None,
-             exclusive_start_key=None, object_hook=None, count=False):
-        """
-        Perform a scan of DynamoDB.  This version is currently punting
-        and expecting you to provide a full and correct JSON body
-        which is passed as is to DynamoDB.
-
-        :type table_name: str
-        :param table_name: The name of the table to scan.
-
-        :type scan_filter: dict
-        :param scan_filter: A Python version of the
-            ScanFilter data structure.
-
-        :type attributes_to_get: list
-        :param attributes_to_get: A list of attribute names.
-            If supplied, only the specified attribute names will
-            be returned.  Otherwise, all attributes will be returned.
-
-        :type limit: int
-        :param limit: The maximum number of items to evaluate.
-
-        :type count: bool
-        :param count: If True, Amazon DynamoDB returns a total
-            number of items for the Scan operation, even if the
-            operation has no matching items for the assigned filter.
-
-        :type exclusive_start_key: list or tuple
-        :param exclusive_start_key: Primary key of the item from
-            which to continue an earlier query.  This would be
-            provided as the LastEvaluatedKey in that query.
-        """
-        data = {'TableName': table_name}
-        if scan_filter:
-            data['ScanFilter'] = scan_filter
-        if attributes_to_get:
-            data['AttributesToGet'] = attributes_to_get
-        if limit:
-            data['Limit'] = limit
-        if count:
-            data['Count'] = True
-        if exclusive_start_key:
-            data['ExclusiveStartKey'] = exclusive_start_key
-        json_input = json.dumps(data)
-        return self.make_request('Scan', json_input, object_hook=object_hook)