6affc7a4ec
Add basic delete functionality Improve testing coverage and make behave more like actual dynamo on errors Lint fix
510 lines
21 KiB
Python
510 lines
21 KiB
Python
from __future__ import unicode_literals
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import json
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import six
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import re
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from moto.core.responses import BaseResponse
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from moto.core.utils import camelcase_to_underscores
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from .models import dynamodb_backend2, dynamo_json_dump
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class DynamoHandler(BaseResponse):
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def get_endpoint_name(self, headers):
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"""Parses request headers and extracts part od the X-Amz-Target
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that corresponds to a method of DynamoHandler
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ie: X-Amz-Target: DynamoDB_20111205.ListTables -> ListTables
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"""
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# Headers are case-insensitive. Probably a better way to do this.
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match = headers.get('x-amz-target') or headers.get('X-Amz-Target')
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if match:
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return match.split(".")[1]
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def error(self, type_, status=400):
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return status, self.response_headers, dynamo_json_dump({'__type': type_})
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def call_action(self):
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self.body = json.loads(self.body or '{}')
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endpoint = self.get_endpoint_name(self.headers)
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if endpoint:
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endpoint = camelcase_to_underscores(endpoint)
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response = getattr(self, endpoint)()
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if isinstance(response, six.string_types):
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return 200, self.response_headers, response
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else:
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status_code, new_headers, response_content = response
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self.response_headers.update(new_headers)
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return status_code, self.response_headers, response_content
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else:
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return 404, self.response_headers, ""
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def list_tables(self):
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body = self.body
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limit = body.get('Limit', 100)
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if body.get("ExclusiveStartTableName"):
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last = body.get("ExclusiveStartTableName")
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start = list(dynamodb_backend2.tables.keys()).index(last) + 1
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else:
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start = 0
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all_tables = list(dynamodb_backend2.tables.keys())
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if limit:
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tables = all_tables[start:start + limit]
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else:
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tables = all_tables[start:]
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response = {"TableNames": tables}
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if limit and len(all_tables) > start + limit:
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response["LastEvaluatedTableName"] = tables[-1]
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return dynamo_json_dump(response)
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def create_table(self):
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body = self.body
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# get the table name
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table_name = body['TableName']
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# get the throughput
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throughput = body["ProvisionedThroughput"]
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# getting the schema
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key_schema = body['KeySchema']
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# getting attribute definition
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attr = body["AttributeDefinitions"]
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# getting the indexes
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global_indexes = body.get("GlobalSecondaryIndexes", [])
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local_secondary_indexes = body.get("LocalSecondaryIndexes", [])
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table = dynamodb_backend2.create_table(table_name,
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schema=key_schema,
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throughput=throughput,
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attr=attr,
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global_indexes=global_indexes,
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indexes=local_secondary_indexes)
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if table is not None:
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return dynamo_json_dump(table.describe())
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else:
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er = 'com.amazonaws.dynamodb.v20111205#ResourceInUseException'
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return self.error(er)
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def delete_table(self):
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name = self.body['TableName']
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table = dynamodb_backend2.delete_table(name)
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if table is not None:
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return dynamo_json_dump(table.describe())
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else:
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er = 'com.amazonaws.dynamodb.v20111205#ResourceNotFoundException'
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return self.error(er)
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def tag_resource(self):
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tags = self.body['Tags']
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table_arn = self.body['ResourceArn']
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dynamodb_backend2.tag_resource(table_arn, tags)
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return json.dumps({})
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def list_tags_of_resource(self):
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try:
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table_arn = self.body['ResourceArn']
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all_tags = dynamodb_backend2.list_tags_of_resource(table_arn)
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all_tag_keys = [tag['Key'] for tag in all_tags]
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marker = self.body.get('NextToken')
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if marker:
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start = all_tag_keys.index(marker) + 1
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else:
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start = 0
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max_items = 10 # there is no default, but using 10 to make testing easier
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tags_resp = all_tags[start:start + max_items]
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next_marker = None
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if len(all_tags) > start + max_items:
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next_marker = tags_resp[-1]['Key']
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if next_marker:
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return json.dumps({'Tags': tags_resp,
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'NextToken': next_marker})
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return json.dumps({'Tags': tags_resp})
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except AttributeError:
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er = 'com.amazonaws.dynamodb.v20111205#ResourceNotFoundException'
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return self.error(er)
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def update_table(self):
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name = self.body['TableName']
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if 'GlobalSecondaryIndexUpdates' in self.body:
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table = dynamodb_backend2.update_table_global_indexes(
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name, self.body['GlobalSecondaryIndexUpdates'])
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if 'ProvisionedThroughput' in self.body:
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throughput = self.body["ProvisionedThroughput"]
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table = dynamodb_backend2.update_table_throughput(name, throughput)
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return dynamo_json_dump(table.describe())
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def describe_table(self):
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name = self.body['TableName']
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try:
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table = dynamodb_backend2.tables[name]
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except KeyError:
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er = 'com.amazonaws.dynamodb.v20111205#ResourceNotFoundException'
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return self.error(er)
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return dynamo_json_dump(table.describe(base_key='Table'))
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def put_item(self):
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name = self.body['TableName']
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item = self.body['Item']
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res = re.search('\"\"', json.dumps(item))
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if res:
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er = 'com.amazonaws.dynamodb.v20111205#ValidationException'
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return (400,
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{'server': 'amazon.com'},
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dynamo_json_dump({'__type': er,
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'message': ('One or more parameter values were '
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'invalid: An AttributeValue may not '
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'contain an empty string')}
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))
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overwrite = 'Expected' not in self.body
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if not overwrite:
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expected = self.body['Expected']
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else:
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expected = None
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# Attempt to parse simple ConditionExpressions into an Expected
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# expression
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if not expected:
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condition_expression = self.body.get('ConditionExpression')
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if condition_expression and 'OR' not in condition_expression:
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cond_items = [c.strip()
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for c in condition_expression.split('AND')]
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if cond_items:
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expected = {}
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overwrite = False
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exists_re = re.compile('^attribute_exists\((.*)\)$')
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not_exists_re = re.compile(
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'^attribute_not_exists\((.*)\)$')
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for cond in cond_items:
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exists_m = exists_re.match(cond)
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not_exists_m = not_exists_re.match(cond)
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if exists_m:
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expected[exists_m.group(1)] = {'Exists': True}
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elif not_exists_m:
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expected[not_exists_m.group(1)] = {'Exists': False}
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try:
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result = dynamodb_backend2.put_item(
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name, item, expected, overwrite)
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except ValueError:
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er = 'com.amazonaws.dynamodb.v20111205#ConditionalCheckFailedException'
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return self.error(er)
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if result:
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item_dict = result.to_json()
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item_dict['ConsumedCapacityUnits'] = 1
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return dynamo_json_dump(item_dict)
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else:
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er = 'com.amazonaws.dynamodb.v20111205#ResourceNotFoundException'
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return self.error(er)
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def batch_write_item(self):
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table_batches = self.body['RequestItems']
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for table_name, table_requests in table_batches.items():
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for table_request in table_requests:
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request_type = list(table_request.keys())[0]
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request = list(table_request.values())[0]
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if request_type == 'PutRequest':
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item = request['Item']
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dynamodb_backend2.put_item(table_name, item)
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elif request_type == 'DeleteRequest':
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keys = request['Key']
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item = dynamodb_backend2.delete_item(table_name, keys)
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response = {
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"ConsumedCapacity": [
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{
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'TableName': table_name,
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'CapacityUnits': 1.0,
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'Table': {'CapacityUnits': 1.0}
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} for table_name, table_requests in table_batches.items()
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],
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"ItemCollectionMetrics": {},
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"UnprocessedItems": {}
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}
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return dynamo_json_dump(response)
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def get_item(self):
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name = self.body['TableName']
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key = self.body['Key']
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try:
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item = dynamodb_backend2.get_item(name, key)
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except ValueError:
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er = 'com.amazon.coral.validate#ValidationException'
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return self.error(er, status=400)
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if item:
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item_dict = item.describe_attrs(attributes=None)
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item_dict['ConsumedCapacityUnits'] = 0.5
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return dynamo_json_dump(item_dict)
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else:
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# Item not found
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er = '{}'
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return self.error(er, status=200)
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def batch_get_item(self):
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table_batches = self.body['RequestItems']
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results = {
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"ConsumedCapacity": [],
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"Responses": {
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},
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"UnprocessedKeys": {
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}
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}
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for table_name, table_request in table_batches.items():
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keys = table_request['Keys']
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attributes_to_get = table_request.get('AttributesToGet')
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results["Responses"][table_name] = []
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for key in keys:
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item = dynamodb_backend2.get_item(table_name, key)
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if item:
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item_describe = item.describe_attrs(attributes_to_get)
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results["Responses"][table_name].append(
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item_describe["Item"])
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results["ConsumedCapacity"].append({
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"CapacityUnits": len(keys),
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"TableName": table_name
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})
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return dynamo_json_dump(results)
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def query(self):
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name = self.body['TableName']
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# {u'KeyConditionExpression': u'#n0 = :v0', u'ExpressionAttributeValues': {u':v0': {u'S': u'johndoe'}}, u'ExpressionAttributeNames': {u'#n0': u'username'}}
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key_condition_expression = self.body.get('KeyConditionExpression')
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filter_kwargs = {}
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if key_condition_expression:
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value_alias_map = self.body['ExpressionAttributeValues']
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table = dynamodb_backend2.get_table(name)
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index_name = self.body.get('IndexName')
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if index_name:
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all_indexes = (table.global_indexes or []) + \
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(table.indexes or [])
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indexes_by_name = dict((i['IndexName'], i)
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for i in all_indexes)
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if index_name not in indexes_by_name:
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raise ValueError('Invalid index: %s for table: %s. Available indexes are: %s' % (
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index_name, name, ', '.join(indexes_by_name.keys())
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))
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index = indexes_by_name[index_name]['KeySchema']
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else:
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index = table.schema
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reverse_attribute_lookup = dict((v, k) for k, v in
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six.iteritems(self.body['ExpressionAttributeNames']))
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if " AND " in key_condition_expression:
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expressions = key_condition_expression.split(" AND ", 1)
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index_hash_key = [key for key in index if key['KeyType'] == 'HASH'][0]
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hash_key_var = reverse_attribute_lookup.get(index_hash_key['AttributeName'],
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index_hash_key['AttributeName'])
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hash_key_regex = r'(^|[\s(]){0}\b'.format(hash_key_var)
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i, hash_key_expression = next((i, e) for i, e in enumerate(expressions)
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if re.search(hash_key_regex, e))
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hash_key_expression = hash_key_expression.strip('()')
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expressions.pop(i)
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# TODO implement more than one range expression and OR operators
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range_key_expression = expressions[0].strip('()')
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range_key_expression_components = range_key_expression.split()
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range_comparison = range_key_expression_components[1]
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if 'AND' in range_key_expression:
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range_comparison = 'BETWEEN'
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range_values = [
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value_alias_map[range_key_expression_components[2]],
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value_alias_map[range_key_expression_components[4]],
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]
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elif 'begins_with' in range_key_expression:
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range_comparison = 'BEGINS_WITH'
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range_values = [
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value_alias_map[range_key_expression_components[1]],
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]
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else:
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range_values = [value_alias_map[
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range_key_expression_components[2]]]
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else:
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hash_key_expression = key_condition_expression
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range_comparison = None
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range_values = []
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hash_key_value_alias = hash_key_expression.split("=")[1].strip()
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hash_key = value_alias_map[hash_key_value_alias]
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else:
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# 'KeyConditions': {u'forum_name': {u'ComparisonOperator': u'EQ', u'AttributeValueList': [{u'S': u'the-key'}]}}
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key_conditions = self.body.get('KeyConditions')
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query_filters = self.body.get("QueryFilter")
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if key_conditions:
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hash_key_name, range_key_name = dynamodb_backend2.get_table_keys_name(
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name, key_conditions.keys())
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for key, value in key_conditions.items():
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if key not in (hash_key_name, range_key_name):
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filter_kwargs[key] = value
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if hash_key_name is None:
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er = "'com.amazonaws.dynamodb.v20120810#ResourceNotFoundException"
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return self.error(er)
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hash_key = key_conditions[hash_key_name][
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'AttributeValueList'][0]
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if len(key_conditions) == 1:
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range_comparison = None
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range_values = []
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else:
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if range_key_name is None and not filter_kwargs:
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er = "com.amazon.coral.validate#ValidationException"
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return self.error(er)
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else:
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range_condition = key_conditions.get(range_key_name)
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if range_condition:
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range_comparison = range_condition[
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'ComparisonOperator']
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range_values = range_condition[
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'AttributeValueList']
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else:
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range_comparison = None
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range_values = []
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if query_filters:
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filter_kwargs.update(query_filters)
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index_name = self.body.get('IndexName')
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exclusive_start_key = self.body.get('ExclusiveStartKey')
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limit = self.body.get("Limit")
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scan_index_forward = self.body.get("ScanIndexForward")
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items, scanned_count, last_evaluated_key = dynamodb_backend2.query(
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name, hash_key, range_comparison, range_values, limit,
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exclusive_start_key, scan_index_forward, index_name=index_name, **filter_kwargs)
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if items is None:
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er = 'com.amazonaws.dynamodb.v20111205#ResourceNotFoundException'
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return self.error(er)
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result = {
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"Count": len(items),
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"ConsumedCapacityUnits": 1,
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"ScannedCount": scanned_count
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}
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if self.body.get('Select', '').upper() != 'COUNT':
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result["Items"] = [item.attrs for item in items]
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if last_evaluated_key is not None:
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result["LastEvaluatedKey"] = last_evaluated_key
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return dynamo_json_dump(result)
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def scan(self):
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name = self.body['TableName']
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filters = {}
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scan_filters = self.body.get('ScanFilter', {})
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for attribute_name, scan_filter in scan_filters.items():
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# Keys are attribute names. Values are tuples of (comparison,
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# comparison_value)
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comparison_operator = scan_filter["ComparisonOperator"]
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comparison_values = scan_filter.get("AttributeValueList", [])
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filters[attribute_name] = (comparison_operator, comparison_values)
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exclusive_start_key = self.body.get('ExclusiveStartKey')
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limit = self.body.get("Limit")
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items, scanned_count, last_evaluated_key = dynamodb_backend2.scan(name, filters,
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limit,
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exclusive_start_key)
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if items is None:
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er = 'com.amazonaws.dynamodb.v20111205#ResourceNotFoundException'
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return self.error(er)
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result = {
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"Count": len(items),
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"Items": [item.attrs for item in items],
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"ConsumedCapacityUnits": 1,
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"ScannedCount": scanned_count
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}
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if last_evaluated_key is not None:
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result["LastEvaluatedKey"] = last_evaluated_key
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return dynamo_json_dump(result)
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def delete_item(self):
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name = self.body['TableName']
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keys = self.body['Key']
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return_values = self.body.get('ReturnValues', '')
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table = dynamodb_backend2.get_table(name)
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if not table:
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er = 'com.amazonaws.dynamodb.v20120810#ConditionalCheckFailedException'
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return self.error(er)
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item = dynamodb_backend2.delete_item(name, keys)
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if item and return_values == 'ALL_OLD':
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item_dict = item.to_json()
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else:
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item_dict = {'Attributes': {}}
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item_dict['ConsumedCapacityUnits'] = 0.5
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return dynamo_json_dump(item_dict)
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def update_item(self):
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name = self.body['TableName']
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key = self.body['Key']
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update_expression = self.body.get('UpdateExpression')
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attribute_updates = self.body.get('AttributeUpdates')
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expression_attribute_names = self.body.get(
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'ExpressionAttributeNames', {})
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expression_attribute_values = self.body.get(
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'ExpressionAttributeValues', {})
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existing_item = dynamodb_backend2.get_item(name, key)
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if 'Expected' in self.body:
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expected = self.body['Expected']
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else:
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expected = None
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# Attempt to parse simple ConditionExpressions into an Expected
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# expression
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if not expected:
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condition_expression = self.body.get('ConditionExpression')
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if condition_expression and 'OR' not in condition_expression:
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cond_items = [c.strip()
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for c in condition_expression.split('AND')]
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if cond_items:
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expected = {}
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exists_re = re.compile('^attribute_exists\((.*)\)$')
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not_exists_re = re.compile(
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'^attribute_not_exists\((.*)\)$')
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for cond in cond_items:
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exists_m = exists_re.match(cond)
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not_exists_m = not_exists_re.match(cond)
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if exists_m:
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expected[exists_m.group(1)] = {'Exists': True}
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elif not_exists_m:
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expected[not_exists_m.group(1)] = {'Exists': False}
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# Support spaces between operators in an update expression
|
|
# E.g. `a = b + c` -> `a=b+c`
|
|
if update_expression:
|
|
update_expression = re.sub(
|
|
'\s*([=\+-])\s*', '\\1', update_expression)
|
|
|
|
try:
|
|
item = dynamodb_backend2.update_item(
|
|
name, key, update_expression, attribute_updates, expression_attribute_names, expression_attribute_values,
|
|
expected)
|
|
except ValueError:
|
|
er = 'com.amazonaws.dynamodb.v20111205#ConditionalCheckFailedException'
|
|
return self.error(er)
|
|
except TypeError:
|
|
er = 'com.amazonaws.dynamodb.v20111205#ValidationException'
|
|
return self.error(er)
|
|
|
|
item_dict = item.to_json()
|
|
item_dict['ConsumedCapacityUnits'] = 0.5
|
|
if not existing_item:
|
|
item_dict['Attributes'] = {}
|
|
|
|
return dynamo_json_dump(item_dict)
|