bf136584a9
* Put projection after filter so that filters can act on fields that are not projected * fixing whitespace
899 lines
35 KiB
Python
899 lines
35 KiB
Python
from __future__ import unicode_literals
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from collections import defaultdict
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import copy
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import datetime
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import decimal
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import json
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import re
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import boto3
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from moto.compat import OrderedDict
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from moto.core import BaseBackend, BaseModel
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from moto.core.utils import unix_time
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from moto.core.exceptions import JsonRESTError
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from .comparisons import get_comparison_func, get_filter_expression, Op
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class DynamoJsonEncoder(json.JSONEncoder):
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def default(self, obj):
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if hasattr(obj, 'to_json'):
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return obj.to_json()
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def dynamo_json_dump(dynamo_object):
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return json.dumps(dynamo_object, cls=DynamoJsonEncoder)
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class DynamoType(object):
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"""
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http://docs.aws.amazon.com/amazondynamodb/latest/developerguide/DataModel.html#DataModelDataTypes
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"""
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def __init__(self, type_as_dict):
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self.type = list(type_as_dict)[0]
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self.value = list(type_as_dict.values())[0]
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def __hash__(self):
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return hash((self.type, self.value))
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def __eq__(self, other):
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return (
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self.type == other.type and
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self.value == other.value
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)
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def __lt__(self, other):
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return self.value < other.value
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def __le__(self, other):
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return self.value <= other.value
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def __gt__(self, other):
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return self.value > other.value
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def __ge__(self, other):
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return self.value >= other.value
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def __repr__(self):
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return "DynamoType: {0}".format(self.to_json())
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@property
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def cast_value(self):
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if self.is_number():
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try:
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return int(self.value)
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except ValueError:
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return float(self.value)
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else:
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return self.value
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def to_json(self):
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return {self.type: self.value}
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def compare(self, range_comparison, range_objs):
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"""
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Compares this type against comparison filters
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"""
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range_values = [obj.cast_value for obj in range_objs]
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comparison_func = get_comparison_func(range_comparison)
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return comparison_func(self.cast_value, *range_values)
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def is_number(self):
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return self.type == 'N'
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def is_set(self):
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return self.type == 'SS' or self.type == 'NS' or self.type == 'BS'
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def same_type(self, other):
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return self.type == other.type
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class Item(BaseModel):
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def __init__(self, hash_key, hash_key_type, range_key, range_key_type, attrs):
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self.hash_key = hash_key
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self.hash_key_type = hash_key_type
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self.range_key = range_key
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self.range_key_type = range_key_type
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self.attrs = {}
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for key, value in attrs.items():
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self.attrs[key] = DynamoType(value)
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def __repr__(self):
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return "Item: {0}".format(self.to_json())
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def to_json(self):
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attributes = {}
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for attribute_key, attribute in self.attrs.items():
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attributes[attribute_key] = {
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attribute.type: attribute.value
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}
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return {
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"Attributes": attributes
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}
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def describe_attrs(self, attributes):
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if attributes:
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included = {}
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for key, value in self.attrs.items():
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if key in attributes:
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included[key] = value
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else:
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included = self.attrs
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return {
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"Item": included
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}
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def update(self, update_expression, expression_attribute_names, expression_attribute_values):
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# Update subexpressions are identifiable by the operator keyword, so split on that and
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# get rid of the empty leading string.
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parts = [p for p in re.split(r'\b(SET|REMOVE|ADD|DELETE)\b', update_expression, flags=re.I) if p]
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# make sure that we correctly found only operator/value pairs
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assert len(parts) % 2 == 0, "Mismatched operators and values in update expression: '{}'".format(update_expression)
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for action, valstr in zip(parts[:-1:2], parts[1::2]):
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action = action.upper()
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# "Should" retain arguments in side (...)
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values = re.split(r',(?![^(]*\))', valstr)
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for value in values:
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# A Real value
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value = value.lstrip(":").rstrip(",").strip()
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for k, v in expression_attribute_names.items():
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value = re.sub(r'{0}\b'.format(k), v, value)
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if action == "REMOVE":
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self.attrs.pop(value, None)
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elif action == 'SET':
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key, value = value.split("=", 1)
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key = key.strip()
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value = value.strip()
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# If not exists, changes value to a default if needed, else its the same as it was
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if value.startswith('if_not_exists'):
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# Function signature
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match = re.match(r'.*if_not_exists\((?P<path>.+),\s*(?P<default>.+)\).*', value)
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if not match:
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raise TypeError
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path, value = match.groups()
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# If it already exists, get its value so we dont overwrite it
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if path in self.attrs:
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value = self.attrs[path].cast_value
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if value in expression_attribute_values:
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value = DynamoType(expression_attribute_values[value])
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else:
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value = DynamoType({"S": value})
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if '.' not in key:
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self.attrs[key] = value
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else:
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# Handle nested dict updates
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key_parts = key.split('.')
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attr = key_parts.pop(0)
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if attr not in self.attrs:
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raise ValueError()
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last_val = self.attrs[attr].value
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for key_part in key_parts:
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# Hack but it'll do, traverses into a dict
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if list(last_val.keys())[0] == 'M':
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last_val = last_val['M']
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if key_part not in last_val:
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raise ValueError()
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last_val = last_val[key_part]
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# We have reference to a nested object but we cant just assign to it
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current_type = list(last_val.keys())[0]
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if current_type == value.type:
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last_val[current_type] = value.value
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else:
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last_val[value.type] = value.value
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del last_val[current_type]
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elif action == 'ADD':
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key, value = value.split(" ", 1)
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key = key.strip()
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value_str = value.strip()
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if value_str in expression_attribute_values:
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dyn_value = DynamoType(expression_attribute_values[value])
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else:
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raise TypeError
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# Handle adding numbers - value gets added to existing value,
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# or added to 0 if it doesn't exist yet
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if dyn_value.is_number():
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existing = self.attrs.get(key, DynamoType({"N": '0'}))
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if not existing.same_type(dyn_value):
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raise TypeError()
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self.attrs[key] = DynamoType({"N": str(
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decimal.Decimal(existing.value) +
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decimal.Decimal(dyn_value.value)
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)})
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# Handle adding sets - value is added to the set, or set is
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# created with only this value if it doesn't exist yet
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# New value must be of same set type as previous value
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elif dyn_value.is_set():
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existing = self.attrs.get(key, DynamoType({dyn_value.type: {}}))
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if not existing.same_type(dyn_value):
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raise TypeError()
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new_set = set(existing.value).union(dyn_value.value)
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self.attrs[key] = DynamoType({existing.type: list(new_set)})
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else: # Number and Sets are the only supported types for ADD
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raise TypeError
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elif action == 'DELETE':
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key, value = value.split(" ", 1)
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key = key.strip()
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value_str = value.strip()
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if value_str in expression_attribute_values:
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dyn_value = DynamoType(expression_attribute_values[value])
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else:
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raise TypeError
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if not dyn_value.is_set():
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raise TypeError
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existing = self.attrs.get(key, None)
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if existing:
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if not existing.same_type(dyn_value):
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raise TypeError
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new_set = set(existing.value).difference(dyn_value.value)
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self.attrs[key] = DynamoType({existing.type: list(new_set)})
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else:
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raise NotImplementedError('{} update action not yet supported'.format(action))
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def update_with_attribute_updates(self, attribute_updates):
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for attribute_name, update_action in attribute_updates.items():
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action = update_action['Action']
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if action == 'DELETE' and 'Value' not in update_action:
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if attribute_name in self.attrs:
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del self.attrs[attribute_name]
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continue
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new_value = list(update_action['Value'].values())[0]
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if action == 'PUT':
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# TODO deal with other types
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if isinstance(new_value, list) or isinstance(new_value, set):
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self.attrs[attribute_name] = DynamoType({"SS": new_value})
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elif isinstance(new_value, dict):
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self.attrs[attribute_name] = DynamoType({"M": new_value})
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elif update_action['Value'].keys() == ['N']:
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self.attrs[attribute_name] = DynamoType({"N": new_value})
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elif update_action['Value'].keys() == ['NULL']:
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if attribute_name in self.attrs:
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del self.attrs[attribute_name]
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else:
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self.attrs[attribute_name] = DynamoType({"S": new_value})
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elif action == 'ADD':
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if set(update_action['Value'].keys()) == set(['N']):
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existing = self.attrs.get(
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attribute_name, DynamoType({"N": '0'}))
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self.attrs[attribute_name] = DynamoType({"N": str(
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decimal.Decimal(existing.value) +
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decimal.Decimal(new_value)
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)})
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elif set(update_action['Value'].keys()) == set(['SS']):
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existing = self.attrs.get(attribute_name, DynamoType({"SS": {}}))
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new_set = set(existing.value).union(set(new_value))
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self.attrs[attribute_name] = DynamoType({
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"SS": list(new_set)
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})
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else:
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# TODO: implement other data types
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raise NotImplementedError(
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'ADD not supported for %s' % ', '.join(update_action['Value'].keys()))
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class Table(BaseModel):
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def __init__(self, table_name, schema=None, attr=None, throughput=None, indexes=None, global_indexes=None):
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self.name = table_name
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self.attr = attr
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self.schema = schema
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self.range_key_attr = None
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self.hash_key_attr = None
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self.range_key_type = None
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self.hash_key_type = None
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for elem in schema:
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if elem["KeyType"] == "HASH":
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self.hash_key_attr = elem["AttributeName"]
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self.hash_key_type = elem["KeyType"]
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else:
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self.range_key_attr = elem["AttributeName"]
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self.range_key_type = elem["KeyType"]
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if throughput is None:
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self.throughput = {
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'WriteCapacityUnits': 10, 'ReadCapacityUnits': 10}
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else:
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self.throughput = throughput
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self.throughput["NumberOfDecreasesToday"] = 0
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self.indexes = indexes
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self.global_indexes = global_indexes if global_indexes else []
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self.created_at = datetime.datetime.utcnow()
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self.items = defaultdict(dict)
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self.table_arn = self._generate_arn(table_name)
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self.tags = []
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self.ttl = {
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'TimeToLiveStatus': 'DISABLED' # One of 'ENABLING'|'DISABLING'|'ENABLED'|'DISABLED',
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# 'AttributeName': 'string' # Can contain this
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}
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def _generate_arn(self, name):
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return 'arn:aws:dynamodb:us-east-1:123456789011:table/' + name
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def describe(self, base_key='TableDescription'):
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results = {
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base_key: {
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'AttributeDefinitions': self.attr,
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'ProvisionedThroughput': self.throughput,
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'TableSizeBytes': 0,
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'TableName': self.name,
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'TableStatus': 'ACTIVE',
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'TableArn': self.table_arn,
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'KeySchema': self.schema,
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'ItemCount': len(self),
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'CreationDateTime': unix_time(self.created_at),
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'GlobalSecondaryIndexes': [index for index in self.global_indexes],
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'LocalSecondaryIndexes': [index for index in self.indexes],
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}
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}
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return results
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def __len__(self):
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count = 0
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for key, value in self.items.items():
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if self.has_range_key:
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count += len(value)
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else:
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count += 1
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return count
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@property
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def hash_key_names(self):
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keys = [self.hash_key_attr]
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for index in self.global_indexes:
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hash_key = None
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for key in index['KeySchema']:
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if key['KeyType'] == 'HASH':
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hash_key = key['AttributeName']
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keys.append(hash_key)
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return keys
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@property
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def range_key_names(self):
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keys = [self.range_key_attr]
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for index in self.global_indexes:
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range_key = None
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for key in index['KeySchema']:
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if key['KeyType'] == 'RANGE':
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range_key = keys.append(key['AttributeName'])
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keys.append(range_key)
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return keys
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def put_item(self, item_attrs, expected=None, overwrite=False):
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hash_value = DynamoType(item_attrs.get(self.hash_key_attr))
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if self.has_range_key:
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range_value = DynamoType(item_attrs.get(self.range_key_attr))
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else:
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range_value = None
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item = Item(hash_value, self.hash_key_type, range_value,
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self.range_key_type, item_attrs)
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if not overwrite:
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if expected is None:
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expected = {}
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lookup_range_value = range_value
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else:
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expected_range_value = expected.get(
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self.range_key_attr, {}).get("Value")
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if(expected_range_value is None):
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lookup_range_value = range_value
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else:
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lookup_range_value = DynamoType(expected_range_value)
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current = self.get_item(hash_value, lookup_range_value)
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if current is None:
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current_attr = {}
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elif hasattr(current, 'attrs'):
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current_attr = current.attrs
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else:
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current_attr = current
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for key, val in expected.items():
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if 'Exists' in val and val['Exists'] is False:
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if key in current_attr:
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raise ValueError("The conditional request failed")
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elif key not in current_attr:
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raise ValueError("The conditional request failed")
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elif 'Value' in val and DynamoType(val['Value']).value != current_attr[key].value:
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raise ValueError("The conditional request failed")
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elif 'ComparisonOperator' in val:
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comparison_func = get_comparison_func(
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val['ComparisonOperator'])
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dynamo_types = [DynamoType(ele) for ele in val[
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"AttributeValueList"]]
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for t in dynamo_types:
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if not comparison_func(current_attr[key].value, t.value):
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raise ValueError('The conditional request failed')
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if range_value:
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self.items[hash_value][range_value] = item
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else:
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self.items[hash_value] = item
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return item
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def __nonzero__(self):
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return True
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def __bool__(self):
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return self.__nonzero__()
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@property
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def has_range_key(self):
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return self.range_key_attr is not None
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def get_item(self, hash_key, range_key=None):
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if self.has_range_key and not range_key:
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raise ValueError(
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"Table has a range key, but no range key was passed into get_item")
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try:
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if range_key:
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return self.items[hash_key][range_key]
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|
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if hash_key in self.items:
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return self.items[hash_key]
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raise KeyError
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except KeyError:
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return None
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def delete_item(self, hash_key, range_key):
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try:
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if range_key:
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return self.items[hash_key].pop(range_key)
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else:
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return self.items.pop(hash_key)
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except KeyError:
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return None
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|
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def query(self, hash_key, range_comparison, range_objs, limit,
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exclusive_start_key, scan_index_forward, projection_expression,
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index_name=None, filter_expression=None, **filter_kwargs):
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results = []
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if index_name:
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all_indexes = (self.global_indexes or []) + (self.indexes or [])
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indexes_by_name = dict((i['IndexName'], i) 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, self.name, ', '.join(indexes_by_name.keys())
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))
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index = indexes_by_name[index_name]
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try:
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index_hash_key = [key for key in index[
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'KeySchema'] if key['KeyType'] == 'HASH'][0]
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except IndexError:
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raise ValueError('Missing Hash Key. KeySchema: %s' %
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index['KeySchema'])
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|
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possible_results = []
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for item in self.all_items():
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if not isinstance(item, Item):
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continue
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item_hash_key = item.attrs.get(index_hash_key['AttributeName'])
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if item_hash_key and item_hash_key == hash_key:
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possible_results.append(item)
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else:
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possible_results = [item for item in list(self.all_items()) if isinstance(
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item, Item) and item.hash_key == hash_key]
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|
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if index_name:
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try:
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index_range_key = [key for key in index[
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'KeySchema'] if key['KeyType'] == 'RANGE'][0]
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except IndexError:
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index_range_key = None
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|
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if range_comparison:
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if index_name and not index_range_key:
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raise ValueError(
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'Range Key comparison but no range key found for index: %s' % index_name)
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elif index_name:
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for result in possible_results:
|
|
if result.attrs.get(index_range_key['AttributeName']).compare(range_comparison, range_objs):
|
|
results.append(result)
|
|
else:
|
|
for result in possible_results:
|
|
if result.range_key.compare(range_comparison, range_objs):
|
|
results.append(result)
|
|
|
|
if filter_kwargs:
|
|
for result in possible_results:
|
|
for field, value in filter_kwargs.items():
|
|
dynamo_types = [DynamoType(ele) for ele in value[
|
|
"AttributeValueList"]]
|
|
if result.attrs.get(field).compare(value['ComparisonOperator'], dynamo_types):
|
|
results.append(result)
|
|
|
|
if not range_comparison and not filter_kwargs:
|
|
# If we're not filtering on range key or on an index return all
|
|
# values
|
|
results = possible_results
|
|
|
|
if index_name:
|
|
|
|
if index_range_key:
|
|
results.sort(key=lambda item: item.attrs[index_range_key['AttributeName']].value
|
|
if item.attrs.get(index_range_key['AttributeName']) else None)
|
|
else:
|
|
results.sort(key=lambda item: item.range_key)
|
|
|
|
if scan_index_forward is False:
|
|
results.reverse()
|
|
|
|
scanned_count = len(list(self.all_items()))
|
|
|
|
if filter_expression is not None:
|
|
results = [item for item in results if filter_expression.expr(item)]
|
|
|
|
if projection_expression:
|
|
expressions = [x.strip() for x in projection_expression.split(',')]
|
|
results = copy.deepcopy(results)
|
|
for result in results:
|
|
for attr in list(result.attrs):
|
|
if attr not in expressions:
|
|
result.attrs.pop(attr)
|
|
|
|
results, last_evaluated_key = self._trim_results(results, limit,
|
|
exclusive_start_key)
|
|
return results, scanned_count, last_evaluated_key
|
|
|
|
def all_items(self):
|
|
for hash_set in self.items.values():
|
|
if self.range_key_attr:
|
|
for item in hash_set.values():
|
|
yield item
|
|
else:
|
|
yield hash_set
|
|
|
|
def scan(self, filters, limit, exclusive_start_key, filter_expression=None):
|
|
results = []
|
|
scanned_count = 0
|
|
|
|
for item in self.all_items():
|
|
scanned_count += 1
|
|
passes_all_conditions = True
|
|
for attribute_name, (comparison_operator, comparison_objs) in filters.items():
|
|
attribute = item.attrs.get(attribute_name)
|
|
|
|
if attribute:
|
|
# Attribute found
|
|
if not attribute.compare(comparison_operator, comparison_objs):
|
|
passes_all_conditions = False
|
|
break
|
|
elif comparison_operator == 'NULL':
|
|
# Comparison is NULL and we don't have the attribute
|
|
continue
|
|
else:
|
|
# No attribute found and comparison is no NULL. This item
|
|
# fails
|
|
passes_all_conditions = False
|
|
break
|
|
|
|
if filter_expression is not None:
|
|
passes_all_conditions &= filter_expression.expr(item)
|
|
|
|
if passes_all_conditions:
|
|
results.append(item)
|
|
|
|
results, last_evaluated_key = self._trim_results(results, limit,
|
|
exclusive_start_key)
|
|
return results, scanned_count, last_evaluated_key
|
|
|
|
def _trim_results(self, results, limit, exclusive_start_key):
|
|
if exclusive_start_key is not None:
|
|
hash_key = DynamoType(exclusive_start_key.get(self.hash_key_attr))
|
|
range_key = exclusive_start_key.get(self.range_key_attr)
|
|
if range_key is not None:
|
|
range_key = DynamoType(range_key)
|
|
for i in range(len(results)):
|
|
if results[i].hash_key == hash_key and results[i].range_key == range_key:
|
|
results = results[i + 1:]
|
|
break
|
|
|
|
last_evaluated_key = None
|
|
if limit and len(results) > limit:
|
|
results = results[:limit]
|
|
last_evaluated_key = {
|
|
self.hash_key_attr: results[-1].hash_key
|
|
}
|
|
if results[-1].range_key is not None:
|
|
last_evaluated_key[self.range_key_attr] = results[-1].range_key
|
|
|
|
return results, last_evaluated_key
|
|
|
|
def lookup(self, *args, **kwargs):
|
|
if not self.schema:
|
|
self.describe()
|
|
for x, arg in enumerate(args):
|
|
kwargs[self.schema[x].name] = arg
|
|
ret = self.get_item(**kwargs)
|
|
if not ret.keys():
|
|
return None
|
|
return ret
|
|
|
|
|
|
class DynamoDBBackend(BaseBackend):
|
|
|
|
def __init__(self, region_name=None):
|
|
self.region_name = region_name
|
|
self.tables = OrderedDict()
|
|
|
|
def reset(self):
|
|
region_name = self.region_name
|
|
|
|
self.__dict__ = {}
|
|
self.__init__(region_name)
|
|
|
|
def create_table(self, name, **params):
|
|
if name in self.tables:
|
|
return None
|
|
table = Table(name, **params)
|
|
self.tables[name] = table
|
|
return table
|
|
|
|
def delete_table(self, name):
|
|
return self.tables.pop(name, None)
|
|
|
|
def tag_resource(self, table_arn, tags):
|
|
for table in self.tables:
|
|
if self.tables[table].table_arn == table_arn:
|
|
self.tables[table].tags.extend(tags)
|
|
|
|
def untag_resource(self, table_arn, tag_keys):
|
|
for table in self.tables:
|
|
if self.tables[table].table_arn == table_arn:
|
|
self.tables[table].tags = [tag for tag in self.tables[table].tags if tag['Key'] not in tag_keys]
|
|
|
|
def list_tags_of_resource(self, table_arn):
|
|
required_table = None
|
|
for table in self.tables:
|
|
if self.tables[table].table_arn == table_arn:
|
|
required_table = self.tables[table]
|
|
return required_table.tags
|
|
|
|
def update_table_throughput(self, name, throughput):
|
|
table = self.tables[name]
|
|
table.throughput = throughput
|
|
return table
|
|
|
|
def update_table_global_indexes(self, name, global_index_updates):
|
|
table = self.tables[name]
|
|
gsis_by_name = dict((i['IndexName'], i) for i in table.global_indexes)
|
|
for gsi_update in global_index_updates:
|
|
gsi_to_create = gsi_update.get('Create')
|
|
gsi_to_update = gsi_update.get('Update')
|
|
gsi_to_delete = gsi_update.get('Delete')
|
|
|
|
if gsi_to_delete:
|
|
index_name = gsi_to_delete['IndexName']
|
|
if index_name not in gsis_by_name:
|
|
raise ValueError('Global Secondary Index does not exist, but tried to delete: %s' %
|
|
gsi_to_delete['IndexName'])
|
|
|
|
del gsis_by_name[index_name]
|
|
|
|
if gsi_to_update:
|
|
index_name = gsi_to_update['IndexName']
|
|
if index_name not in gsis_by_name:
|
|
raise ValueError('Global Secondary Index does not exist, but tried to update: %s' %
|
|
gsi_to_update['IndexName'])
|
|
gsis_by_name[index_name].update(gsi_to_update)
|
|
|
|
if gsi_to_create:
|
|
if gsi_to_create['IndexName'] in gsis_by_name:
|
|
raise ValueError(
|
|
'Global Secondary Index already exists: %s' % gsi_to_create['IndexName'])
|
|
|
|
gsis_by_name[gsi_to_create['IndexName']] = gsi_to_create
|
|
|
|
table.global_indexes = gsis_by_name.values()
|
|
return table
|
|
|
|
def put_item(self, table_name, item_attrs, expected=None, overwrite=False):
|
|
table = self.tables.get(table_name)
|
|
if not table:
|
|
return None
|
|
return table.put_item(item_attrs, expected, overwrite)
|
|
|
|
def get_table_keys_name(self, table_name, keys):
|
|
"""
|
|
Given a set of keys, extracts the key and range key
|
|
"""
|
|
table = self.tables.get(table_name)
|
|
if not table:
|
|
return None, None
|
|
else:
|
|
if len(keys) == 1:
|
|
for key in keys:
|
|
if key in table.hash_key_names:
|
|
return key, None
|
|
# for potential_hash, potential_range in zip(table.hash_key_names, table.range_key_names):
|
|
# if set([potential_hash, potential_range]) == set(keys):
|
|
# return potential_hash, potential_range
|
|
potential_hash, potential_range = None, None
|
|
for key in set(keys):
|
|
if key in table.hash_key_names:
|
|
potential_hash = key
|
|
elif key in table.range_key_names:
|
|
potential_range = key
|
|
return potential_hash, potential_range
|
|
|
|
def get_keys_value(self, table, keys):
|
|
if table.hash_key_attr not in keys or (table.has_range_key and table.range_key_attr not in keys):
|
|
raise ValueError(
|
|
"Table has a range key, but no range key was passed into get_item")
|
|
hash_key = DynamoType(keys[table.hash_key_attr])
|
|
range_key = DynamoType(
|
|
keys[table.range_key_attr]) if table.has_range_key else None
|
|
return hash_key, range_key
|
|
|
|
def get_table(self, table_name):
|
|
return self.tables.get(table_name)
|
|
|
|
def get_item(self, table_name, keys):
|
|
table = self.get_table(table_name)
|
|
if not table:
|
|
raise ValueError("No table found")
|
|
hash_key, range_key = self.get_keys_value(table, keys)
|
|
return table.get_item(hash_key, range_key)
|
|
|
|
def query(self, table_name, hash_key_dict, range_comparison, range_value_dicts,
|
|
limit, exclusive_start_key, scan_index_forward, projection_expression, index_name=None,
|
|
expr_names=None, expr_values=None, filter_expression=None,
|
|
**filter_kwargs):
|
|
table = self.tables.get(table_name)
|
|
if not table:
|
|
return None, None
|
|
|
|
hash_key = DynamoType(hash_key_dict)
|
|
range_values = [DynamoType(range_value)
|
|
for range_value in range_value_dicts]
|
|
|
|
if filter_expression is not None:
|
|
filter_expression = get_filter_expression(filter_expression, expr_names, expr_values)
|
|
else:
|
|
filter_expression = Op(None, None) # Will always eval to true
|
|
|
|
return table.query(hash_key, range_comparison, range_values, limit,
|
|
exclusive_start_key, scan_index_forward, projection_expression, index_name, filter_expression, **filter_kwargs)
|
|
|
|
def scan(self, table_name, filters, limit, exclusive_start_key, filter_expression, expr_names, expr_values):
|
|
table = self.tables.get(table_name)
|
|
if not table:
|
|
return None, None, None
|
|
|
|
scan_filters = {}
|
|
for key, (comparison_operator, comparison_values) in filters.items():
|
|
dynamo_types = [DynamoType(value) for value in comparison_values]
|
|
scan_filters[key] = (comparison_operator, dynamo_types)
|
|
|
|
if filter_expression is not None:
|
|
filter_expression = get_filter_expression(filter_expression, expr_names, expr_values)
|
|
else:
|
|
filter_expression = Op(None, None) # Will always eval to true
|
|
|
|
return table.scan(scan_filters, limit, exclusive_start_key, filter_expression)
|
|
|
|
def update_item(self, table_name, key, update_expression, attribute_updates, expression_attribute_names,
|
|
expression_attribute_values, expected=None):
|
|
table = self.get_table(table_name)
|
|
|
|
if all([table.hash_key_attr in key, table.range_key_attr in key]):
|
|
# Covers cases where table has hash and range keys, ``key`` param
|
|
# will be a dict
|
|
hash_value = DynamoType(key[table.hash_key_attr])
|
|
range_value = DynamoType(key[table.range_key_attr])
|
|
elif table.hash_key_attr in key:
|
|
# Covers tables that have a range key where ``key`` param is a dict
|
|
hash_value = DynamoType(key[table.hash_key_attr])
|
|
range_value = None
|
|
else:
|
|
# Covers other cases
|
|
hash_value = DynamoType(key)
|
|
range_value = None
|
|
|
|
item = table.get_item(hash_value, range_value)
|
|
|
|
if item is None:
|
|
item_attr = {}
|
|
elif hasattr(item, 'attrs'):
|
|
item_attr = item.attrs
|
|
else:
|
|
item_attr = item
|
|
|
|
if not expected:
|
|
expected = {}
|
|
|
|
for key, val in expected.items():
|
|
if 'Exists' in val and val['Exists'] is False:
|
|
if key in item_attr:
|
|
raise ValueError("The conditional request failed")
|
|
elif key not in item_attr:
|
|
raise ValueError("The conditional request failed")
|
|
elif 'Value' in val and DynamoType(val['Value']).value != item_attr[key].value:
|
|
raise ValueError("The conditional request failed")
|
|
elif 'ComparisonOperator' in val:
|
|
comparison_func = get_comparison_func(
|
|
val['ComparisonOperator'])
|
|
dynamo_types = [DynamoType(ele) for ele in val[
|
|
"AttributeValueList"]]
|
|
for t in dynamo_types:
|
|
if not comparison_func(item_attr[key].value, t.value):
|
|
raise ValueError('The conditional request failed')
|
|
|
|
# Update does not fail on new items, so create one
|
|
if item is None:
|
|
data = {
|
|
table.hash_key_attr: {
|
|
hash_value.type: hash_value.value,
|
|
},
|
|
}
|
|
if range_value:
|
|
data.update({
|
|
table.range_key_attr: {
|
|
range_value.type: range_value.value,
|
|
}
|
|
})
|
|
|
|
table.put_item(data)
|
|
item = table.get_item(hash_value, range_value)
|
|
|
|
if update_expression:
|
|
item.update(update_expression, expression_attribute_names,
|
|
expression_attribute_values)
|
|
else:
|
|
item.update_with_attribute_updates(attribute_updates)
|
|
return item
|
|
|
|
def delete_item(self, table_name, keys):
|
|
table = self.get_table(table_name)
|
|
if not table:
|
|
return None
|
|
hash_key, range_key = self.get_keys_value(table, keys)
|
|
return table.delete_item(hash_key, range_key)
|
|
|
|
def update_ttl(self, table_name, ttl_spec):
|
|
table = self.tables.get(table_name)
|
|
if table is None:
|
|
raise JsonRESTError('ResourceNotFound', 'Table not found')
|
|
|
|
if 'Enabled' not in ttl_spec or 'AttributeName' not in ttl_spec:
|
|
raise JsonRESTError('InvalidParameterValue',
|
|
'TimeToLiveSpecification does not contain Enabled and AttributeName')
|
|
|
|
if ttl_spec['Enabled']:
|
|
table.ttl['TimeToLiveStatus'] = 'ENABLED'
|
|
else:
|
|
table.ttl['TimeToLiveStatus'] = 'DISABLED'
|
|
table.ttl['AttributeName'] = ttl_spec['AttributeName']
|
|
|
|
def describe_ttl(self, table_name):
|
|
table = self.tables.get(table_name)
|
|
if table is None:
|
|
raise JsonRESTError('ResourceNotFound', 'Table not found')
|
|
|
|
return table.ttl
|
|
|
|
|
|
available_regions = boto3.session.Session().get_available_regions("dynamodb")
|
|
dynamodb_backends = {region: DynamoDBBackend(region_name=region) for region in available_regions}
|