text: #!/usr/bin/env python
  #
  # Copyright 2007 Google Inc.
  #
  # Licensed under the Apache License, Version 2.0 (the "License");
  # you may not use this file except in compliance with the License.
  # You may obtain a copy of the License at
  #
  #     http://www.apache.org/licenses/LICENSE-2.0
  #
  # Unless required by applicable law or agreed to in writing, software
  # distributed under the License is distributed on an "AS IS" BASIS,
  # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  # See the License for the specific language governing permissions and
  # limitations under the License.
  #
  
  
  
  
  """Type conversions for rdbms.
  
  This module defines a dictionary called 'converters' which provides a mapping
  for the encoders and decoders used for type conversion by rdbms.  The type of
  key used in the dictionary determines whether the mapping represents an encoder
  or decoder.
  
  If the key is a Python type (from the types module) or class, the
  mapping represents the callback function that will be used to encode values of
  that type or class to a str for use in a database query.  The callback function
  should match the following specification:
  
  Encoder
    Args:
      arg: The argument to encode
      conversions_dict: The conversions dictionary that contains the mapping for
        this callback (useful for performing subsequent encodings for sequence
        types).
  
    Returns:
      The encoded value as a str.
  
  
  If the key is a JDBC type constant int, the mapping represents the callback
  function that will be used to decode values of that JDBC type to its respective
  Python type.  The callback function should match the following specification:
  
  Decoder
    Args:
      arg: The argument to decode.
  
    Returns:
      The decoded value as its appropriate Python type.
  """
  
  
  
  from __future__ import absolute_import
  from builtins import str
  import datetime
  import decimal
  import functools
  import types
  
  from google.storage.speckle.proto import jdbc_type
  import six
  
  
  class Blob(str):
    """A blob type, appropriate for storing binary data of any length."""
    pass
  
  
  def SwallowArgs(func):
    """Decorator to allow a single arg function to accept multiple arguments."""
  
    @functools.wraps(func)
    def Decorator(arg, *unused_args):
      return func(arg)
    return Decorator
  
  
  @SwallowArgs
  def Any2Str(arg):
    return str(arg)
  
  
  
  
  Thing2Literal = Any2Str
  
  
  @SwallowArgs
  def Bool2Str(arg):
    return str(arg).lower()
  
  
  @SwallowArgs
  def Unicode2Str(arg):
    return arg.encode('utf-8')
  
  
  @SwallowArgs
  def Datetime2Str(arg):
    return ('%d-%02d-%02d %02d:%02d:%02d.%06d' %
            (arg.year, arg.month, arg.day, arg.hour,
             arg.minute, arg.second, arg.microsecond))
  
  
  @SwallowArgs
  def Date2Str(arg):
    return arg.strftime('%Y-%m-%d')
  
  
  @SwallowArgs
  def Time2Str(arg):
    return ('%02d:%02d:%02d.%06d' %
            (arg.hour, arg.minute, arg.second, arg.microsecond))
  
  
  def Tuple2Str(arg, conversions_dict):
    if len(arg) > 1:
      raise TypeError('tuples of more than 1 element are not supported.')
    arg = arg[0]
    return conversions_dict[type(arg)](arg, conversions_dict)
  
  
  def Str2Unicode(arg):
    return six.text_type(arg, 'utf-8')
  
  
  def _Strptime(arg, strptime_format):
    """Wraps strptime to provide microsecond support on Python 2.5."""
    split_arg = arg.split('.')
    datetime_obj = datetime.datetime.strptime(split_arg[0], strptime_format)
    if len(split_arg) == 2:
      datetime_obj = datetime_obj.replace(microsecond=int(split_arg[1]))
    return datetime_obj
  
  
  def Str2Date(arg):
    return _Strptime(arg, '%Y-%m-%d').date()
  
  
  def Str2Time(arg):
    return _Strptime(arg, '%H:%M:%S').time()
  
  
  def Str2Datetime(arg):
    return _Strptime(arg, '%Y-%m-%d %H:%M:%S')
  
  
  conversions = {
  
      int: Any2Str,
      int: Any2Str,
      float: Any2Str,
      tuple: Tuple2Str,
      bool: Bool2Str,
      bytes: Any2Str,
      str: Unicode2Str,
      datetime.date: Date2Str,
      datetime.datetime: Datetime2Str,
      datetime.time: Time2Str,
      Blob: Any2Str,
      decimal.Decimal: Any2Str,
  
  
      jdbc_type.BIT: int,
      jdbc_type.SMALLINT: int,
      jdbc_type.INTEGER: int,
      jdbc_type.BIGINT: int,
      jdbc_type.TINYINT: int,
      jdbc_type.REAL: float,
      jdbc_type.DOUBLE: float,
      jdbc_type.NUMERIC: float,
      jdbc_type.DECIMAL: decimal.Decimal,
      jdbc_type.FLOAT: float,
      jdbc_type.CHAR: Str2Unicode,
      jdbc_type.VARCHAR: Str2Unicode,
      jdbc_type.LONGVARCHAR: Str2Unicode,
      jdbc_type.DATE: Str2Date,
      jdbc_type.TIME: Str2Time,
      jdbc_type.TIMESTAMP: Str2Datetime,
      jdbc_type.BINARY: Blob,
      jdbc_type.VARBINARY: Blob,
      jdbc_type.LONGVARBINARY: Blob,
      jdbc_type.BLOB: Blob,
      jdbc_type.CLOB: Str2Unicode,
      jdbc_type.NCLOB: Str2Unicode,
      jdbc_type.NCHAR: Str2Unicode,
      jdbc_type.NVARCHAR: Str2Unicode,
      jdbc_type.LONGNVARCHAR: Str2Unicode,
  
      jdbc_type.ARRAY: Str2Unicode,
      jdbc_type.NULL: Str2Unicode,
      jdbc_type.OTHER: Str2Unicode,
      jdbc_type.JAVA_OBJECT: Str2Unicode,
      jdbc_type.DISTINCT: Str2Unicode,
      jdbc_type.STRUCT: Str2Unicode,
      jdbc_type.REF: Str2Unicode,
      jdbc_type.DATALINK: Str2Unicode,
      jdbc_type.BOOLEAN: Str2Unicode,
      jdbc_type.ROWID: Str2Unicode,
      jdbc_type.SQLXML: Str2Unicode,
      }
  