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Unified Diff: third_party/gsutil/third_party/boto/boto/dynamodb/types.py

Issue 1377933002: [catapult] - Copy Telemetry's gsutilz over to third_party. (Closed) Base URL: https://github.com/catapult-project/catapult.git@master
Patch Set: Rename to gsutil. Created 5 years, 3 months ago
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Index: third_party/gsutil/third_party/boto/boto/dynamodb/types.py
diff --git a/third_party/gsutil/third_party/boto/boto/dynamodb/types.py b/third_party/gsutil/third_party/boto/boto/dynamodb/types.py
new file mode 100644
index 0000000000000000000000000000000000000000..6a48ae5f8b7936226f107ad57a4604ae877cb284
--- /dev/null
+++ b/third_party/gsutil/third_party/boto/boto/dynamodb/types.py
@@ -0,0 +1,410 @@
+# Copyright (c) 2011 Mitch Garnaat http://garnaat.org/
+# Copyright (c) 2011 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.
+#
+"""
+Some utility functions to deal with mapping Amazon DynamoDB types to
+Python types and vice-versa.
+"""
+import base64
+from decimal import (Decimal, DecimalException, Context,
+ Clamped, Overflow, Inexact, Underflow, Rounded)
+from collections import Mapping
+from boto.dynamodb.exceptions import DynamoDBNumberError
+from boto.compat import filter, map, six, long_type
+
+
+DYNAMODB_CONTEXT = Context(
+ Emin=-128, Emax=126, rounding=None, prec=38,
+ traps=[Clamped, Overflow, Inexact, Rounded, Underflow])
+
+
+# python2.6 cannot convert floats directly to
+# Decimals. This is taken from:
+# http://docs.python.org/release/2.6.7/library/decimal.html#decimal-faq
+def float_to_decimal(f):
+ n, d = f.as_integer_ratio()
+ numerator, denominator = Decimal(n), Decimal(d)
+ ctx = DYNAMODB_CONTEXT
+ result = ctx.divide(numerator, denominator)
+ while ctx.flags[Inexact]:
+ ctx.flags[Inexact] = False
+ ctx.prec *= 2
+ result = ctx.divide(numerator, denominator)
+ return result
+
+
+def is_num(n, boolean_as_int=True):
+ if boolean_as_int:
+ types = (int, long_type, float, Decimal, bool)
+ else:
+ types = (int, long_type, float, Decimal)
+
+ return isinstance(n, types) or n in types
+
+
+if six.PY2:
+ def is_str(n):
+ return (isinstance(n, basestring) or
+ isinstance(n, type) and issubclass(n, basestring))
+
+ def is_binary(n):
+ return isinstance(n, Binary)
+
+else: # PY3
+ def is_str(n):
+ return (isinstance(n, str) or
+ isinstance(n, type) and issubclass(n, str))
+
+ def is_binary(n):
+ return isinstance(n, bytes) # Binary is subclass of bytes.
+
+
+def serialize_num(val):
+ """Cast a number to a string and perform
+ validation to ensure no loss of precision.
+ """
+ if isinstance(val, bool):
+ return str(int(val))
+ return str(val)
+
+
+def convert_num(s):
+ if '.' in s:
+ n = float(s)
+ else:
+ n = int(s)
+ return n
+
+
+def convert_binary(n):
+ return Binary(base64.b64decode(n))
+
+
+def get_dynamodb_type(val, use_boolean=True):
+ """
+ Take a scalar Python value and return a string representing
+ the corresponding Amazon DynamoDB type. If the value passed in is
+ not a supported type, raise a TypeError.
+ """
+ dynamodb_type = None
+ if val is None:
+ dynamodb_type = 'NULL'
+ elif is_num(val):
+ if isinstance(val, bool) and use_boolean:
+ dynamodb_type = 'BOOL'
+ else:
+ dynamodb_type = 'N'
+ elif is_str(val):
+ dynamodb_type = 'S'
+ elif isinstance(val, (set, frozenset)):
+ if False not in map(is_num, val):
+ dynamodb_type = 'NS'
+ elif False not in map(is_str, val):
+ dynamodb_type = 'SS'
+ elif False not in map(is_binary, val):
+ dynamodb_type = 'BS'
+ elif is_binary(val):
+ dynamodb_type = 'B'
+ elif isinstance(val, Mapping):
+ dynamodb_type = 'M'
+ elif isinstance(val, list):
+ dynamodb_type = 'L'
+ if dynamodb_type is None:
+ msg = 'Unsupported type "%s" for value "%s"' % (type(val), val)
+ raise TypeError(msg)
+ return dynamodb_type
+
+
+def dynamize_value(val):
+ """
+ Take a scalar Python value and return a dict consisting
+ of the Amazon DynamoDB type specification and the value that
+ needs to be sent to Amazon DynamoDB. If the type of the value
+ is not supported, raise a TypeError
+ """
+ dynamodb_type = get_dynamodb_type(val)
+ if dynamodb_type == 'N':
+ val = {dynamodb_type: serialize_num(val)}
+ elif dynamodb_type == 'S':
+ val = {dynamodb_type: val}
+ elif dynamodb_type == 'NS':
+ val = {dynamodb_type: list(map(serialize_num, val))}
+ elif dynamodb_type == 'SS':
+ val = {dynamodb_type: [n for n in val]}
+ elif dynamodb_type == 'B':
+ if isinstance(val, bytes):
+ val = Binary(val)
+ val = {dynamodb_type: val.encode()}
+ elif dynamodb_type == 'BS':
+ val = {dynamodb_type: [n.encode() for n in val]}
+ return val
+
+
+if six.PY2:
+ class Binary(object):
+ def __init__(self, value):
+ if not isinstance(value, (bytes, six.text_type)):
+ raise TypeError('Value must be a string of binary data!')
+ if not isinstance(value, bytes):
+ value = value.encode("utf-8")
+
+ self.value = value
+
+ def encode(self):
+ return base64.b64encode(self.value).decode('utf-8')
+
+ def __eq__(self, other):
+ if isinstance(other, Binary):
+ return self.value == other.value
+ else:
+ return self.value == other
+
+ def __ne__(self, other):
+ return not self.__eq__(other)
+
+ def __repr__(self):
+ return 'Binary(%r)' % self.value
+
+ def __str__(self):
+ return self.value
+
+ def __hash__(self):
+ return hash(self.value)
+else:
+ class Binary(bytes):
+ def encode(self):
+ return base64.b64encode(self).decode('utf-8')
+
+ @property
+ def value(self):
+ # This matches the public API of the Python 2 version,
+ # but just returns itself since it is already a bytes
+ # instance.
+ return bytes(self)
+
+ def __repr__(self):
+ return 'Binary(%r)' % self.value
+
+
+def item_object_hook(dct):
+ """
+ A custom object hook for use when decoding JSON item bodys.
+ This hook will transform Amazon DynamoDB JSON responses to something
+ that maps directly to native Python types.
+ """
+ if len(dct.keys()) > 1:
+ return dct
+ if 'S' in dct:
+ return dct['S']
+ if 'N' in dct:
+ return convert_num(dct['N'])
+ if 'SS' in dct:
+ return set(dct['SS'])
+ if 'NS' in dct:
+ return set(map(convert_num, dct['NS']))
+ if 'B' in dct:
+ return convert_binary(dct['B'])
+ if 'BS' in dct:
+ return set(map(convert_binary, dct['BS']))
+ return dct
+
+
+class Dynamizer(object):
+ """Control serialization/deserialization of types.
+
+ This class controls the encoding of python types to the
+ format that is expected by the DynamoDB API, as well as
+ taking DynamoDB types and constructing the appropriate
+ python types.
+
+ If you want to customize this process, you can subclass
+ this class and override the encoding/decoding of
+ specific types. For example::
+
+ 'foo' (Python type)
+ |
+ v
+ encode('foo')
+ |
+ v
+ _encode_s('foo')
+ |
+ v
+ {'S': 'foo'} (Encoding sent to/received from DynamoDB)
+ |
+ V
+ decode({'S': 'foo'})
+ |
+ v
+ _decode_s({'S': 'foo'})
+ |
+ v
+ 'foo' (Python type)
+
+ """
+ def _get_dynamodb_type(self, attr):
+ return get_dynamodb_type(attr)
+
+ def encode(self, attr):
+ """
+ Encodes a python type to the format expected
+ by DynamoDB.
+
+ """
+ dynamodb_type = self._get_dynamodb_type(attr)
+ try:
+ encoder = getattr(self, '_encode_%s' % dynamodb_type.lower())
+ except AttributeError:
+ raise ValueError("Unable to encode dynamodb type: %s" %
+ dynamodb_type)
+ return {dynamodb_type: encoder(attr)}
+
+ def _encode_n(self, attr):
+ try:
+ if isinstance(attr, float) and not hasattr(Decimal, 'from_float'):
+ # python2.6 does not support creating Decimals directly
+ # from floats so we have to do this ourself.
+ n = str(float_to_decimal(attr))
+ else:
+ n = str(DYNAMODB_CONTEXT.create_decimal(attr))
+ if list(filter(lambda x: x in n, ('Infinity', 'NaN'))):
+ raise TypeError('Infinity and NaN not supported')
+ return n
+ except (TypeError, DecimalException) as e:
+ msg = '{0} numeric for `{1}`\n{2}'.format(
+ e.__class__.__name__, attr, str(e) or '')
+ raise DynamoDBNumberError(msg)
+
+ def _encode_s(self, attr):
+ if isinstance(attr, bytes):
+ attr = attr.decode('utf-8')
+ elif not isinstance(attr, six.text_type):
+ attr = str(attr)
+ return attr
+
+ def _encode_ns(self, attr):
+ return list(map(self._encode_n, attr))
+
+ def _encode_ss(self, attr):
+ return [self._encode_s(n) for n in attr]
+
+ def _encode_b(self, attr):
+ if isinstance(attr, bytes):
+ attr = Binary(attr)
+ return attr.encode()
+
+ def _encode_bs(self, attr):
+ return [self._encode_b(n) for n in attr]
+
+ def _encode_null(self, attr):
+ return True
+
+ def _encode_bool(self, attr):
+ return attr
+
+ def _encode_m(self, attr):
+ return dict([(k, self.encode(v)) for k, v in attr.items()])
+
+ def _encode_l(self, attr):
+ return [self.encode(i) for i in attr]
+
+ def decode(self, attr):
+ """
+ Takes the format returned by DynamoDB and constructs
+ the appropriate python type.
+
+ """
+ if len(attr) > 1 or not attr:
+ return attr
+ dynamodb_type = list(attr.keys())[0]
+ if dynamodb_type.lower() == dynamodb_type:
+ # It's not an actual type, just a single character attr that
+ # overlaps with the DDB types. Return it.
+ return attr
+ try:
+ decoder = getattr(self, '_decode_%s' % dynamodb_type.lower())
+ except AttributeError:
+ return attr
+ return decoder(attr[dynamodb_type])
+
+ def _decode_n(self, attr):
+ return DYNAMODB_CONTEXT.create_decimal(attr)
+
+ def _decode_s(self, attr):
+ return attr
+
+ def _decode_ns(self, attr):
+ return set(map(self._decode_n, attr))
+
+ def _decode_ss(self, attr):
+ return set(map(self._decode_s, attr))
+
+ def _decode_b(self, attr):
+ return convert_binary(attr)
+
+ def _decode_bs(self, attr):
+ return set(map(self._decode_b, attr))
+
+ def _decode_null(self, attr):
+ return None
+
+ def _decode_bool(self, attr):
+ return attr
+
+ def _decode_m(self, attr):
+ return dict([(k, self.decode(v)) for k, v in attr.items()])
+
+ def _decode_l(self, attr):
+ return [self.decode(i) for i in attr]
+
+
+class NonBooleanDynamizer(Dynamizer):
+ """Casting boolean type to numeric types.
+
+ This class is provided for backward compatibility.
+ """
+ def _get_dynamodb_type(self, attr):
+ return get_dynamodb_type(attr, use_boolean=False)
+
+
+class LossyFloatDynamizer(NonBooleanDynamizer):
+ """Use float/int instead of Decimal for numeric types.
+
+ This class is provided for backwards compatibility. Instead of
+ using Decimals for the 'N', 'NS' types it uses ints/floats.
+
+ This class is deprecated and its usage is not encouraged,
+ as doing so may result in loss of precision. Use the
+ `Dynamizer` class instead.
+
+ """
+ def _encode_n(self, attr):
+ return serialize_num(attr)
+
+ def _encode_ns(self, attr):
+ return [str(i) for i in attr]
+
+ def _decode_n(self, attr):
+ return convert_num(attr)
+
+ def _decode_ns(self, attr):
+ return set(map(self._decode_n, attr))

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