Python types.String方法代碼示例

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import String [as 別名]
def _render_server_default_for_compare(metadata_default,
                                       metadata_col, autogen_context):
    rendered = _user_defined_render(
        "server_default", metadata_default, autogen_context)
    if rendered is not False:
        return rendered

    if isinstance(metadata_default, sa_schema.DefaultClause):
        if isinstance(metadata_default.arg, compat.string_types):
            metadata_default = metadata_default.arg
        else:
            metadata_default = str(metadata_default.arg.compile(
                dialect=autogen_context.dialect))
    if isinstance(metadata_default, compat.string_types):
        if metadata_col.type._type_affinity is sqltypes.String:
            metadata_default = re.sub(r"^'|'$", "", metadata_default)
            return repr(metadata_default)
        else:
            return metadata_default
    else:
        return None 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import String [as 別名]
def get_type(data_type):
    type_map = {
        "bytes": types.LargeBinary,
        "boolean": types.Boolean,
        "date": types.Date,
        "datetime": types.DateTime,
        "double": types.Numeric,
        "text": types.String,
        "keyword": types.String,
        "integer": types.Integer,
        "half_float": types.Float,
        "geo_point": types.String,
        # TODO get a solution for nested type
        "nested": types.String,
        # TODO get a solution for object
        "object": types.BLOB,
        "long": types.BigInteger,
        "float": types.Float,
        "ip": types.String,
    }
    type_ = type_map.get(data_type)
    if not type_:
        logger.warning(f"Unknown type found {data_type} reverting to string")
        type_ = types.String
    return type_ 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import String [as 別名]
def define_field_function():

    @register(Model)
    class Test:

        id = Integer(primary_key=True)
        first_name = String()
        last_name = String()
        name = Function(fget='fget', fset='fset', fdel='fdel',
                        fexpr='fexpr')

        def fget(self):
            return '{0} {1}'.format(self.first_name, self.last_name)

        def fset(self, value):
            self.first_name, self.last_name = value.split(' ', 1)

        def fdel(self):
            self.first_name = self.last_name = None

        @classmethod
        def fexpr(cls):
            return func.concat(cls.first_name, ' ', cls.last_name) 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import String [as 別名]
def _mysql_colspec(
    compiler, nullable, server_default, type_, autoincrement, comment
):
    spec = "%s %s" % (
        compiler.dialect.type_compiler.process(type_),
        "NULL" if nullable else "NOT NULL",
    )
    if autoincrement:
        spec += " AUTO_INCREMENT"
    if server_default is not False and server_default is not None:
        spec += " DEFAULT %s" % _render_value(compiler, server_default)
    if comment:
        spec += " COMMENT %s" % compiler.sql_compiler.render_literal_value(
            comment, sqltypes.String()
        )

    return spec 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import String [as 別名]
def visit_column_comment(element, compiler, **kw):
    ddl = "COMMENT ON COLUMN {table_name}.{column_name} IS {comment}"
    comment = (
        compiler.sql_compiler.render_literal_value(
            element.comment, sqltypes.String()
        )
        if element.comment is not None
        else "NULL"
    )

    return ddl.format(
        table_name=format_table_name(
            compiler, element.table_name, element.schema
        ),
        column_name=format_column_name(compiler, element.column_name),
        comment=comment,
    ) 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import String [as 別名]
def bind_processor(self, dialect):
            if dialect._cx_oracle_with_unicode:
                def process(value):
                    if value is None:
                        return value
                    else:
                        return unicode(value)
                return process
            else:
                return super(
                    _NativeUnicodeMixin, self).bind_processor(dialect)

    # we apply a connection output handler that returns
    # unicode in all cases, so the "native_unicode" flag
    # will be set for the default String.result_processor. 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import String [as 別名]
def with_variant(self, type_, dialect_name):
        """Produce a new type object that will utilize the given
        type when applied to the dialect of the given name.

        e.g.::

            from sqlalchemy.types import String
            from sqlalchemy.dialects import mysql

            s = String()

            s = s.with_variant(mysql.VARCHAR(collation='foo'), 'mysql')

        The construction of :meth:`.TypeEngine.with_variant` is always
        from the "fallback" type to that which is dialect specific.
        The returned type is an instance of :class:`.Variant`, which
        itself provides a :meth:`.Variant.with_variant`
        that can be called repeatedly.

        :param type_: a :class:`.TypeEngine` that will be selected
         as a variant from the originating type, when a dialect
         of the given name is in use.
        :param dialect_name: base name of the dialect which uses
         this type. (i.e. ``'postgresql'``, ``'mysql'``, etc.)

        .. versionadded:: 0.7.2

        """
        return Variant(self, {dialect_name: to_instance(type_)}) 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import String [as 別名]
def define_tables(cls, metadata):
        Table('test_table', metadata,
              Column('id', Integer, primary_key=True),
              Column('data', String(50))
              ) 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import String [as 別名]
def test_varchar_reflection(self):
        typ = self._type_round_trip(sql_types.String(52))[0]
        assert isinstance(typ, sql_types.String)
        eq_(typ.length, 52) 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import String [as 別名]
def assert_tables_equal(self, table, reflected_table, strict_types=False):
        assert len(table.c) == len(reflected_table.c)
        for c, reflected_c in zip(table.c, reflected_table.c):
            eq_(c.name, reflected_c.name)
            assert reflected_c is reflected_table.c[c.name]
            eq_(c.primary_key, reflected_c.primary_key)
            eq_(c.nullable, reflected_c.nullable)

            if strict_types:
                msg = "Type '%s' doesn't correspond to type '%s'"
                assert isinstance(reflected_c.type, type(c.type)), \
                    msg % (reflected_c.type, c.type)
            else:
                self.assert_types_base(reflected_c, c)

            if isinstance(c.type, sqltypes.String):
                eq_(c.type.length, reflected_c.type.length)

            eq_(
                set([f.column.name for f in c.foreign_keys]),
                set([f.column.name for f in reflected_c.foreign_keys])
            )
            if c.server_default:
                assert isinstance(reflected_c.server_default,
                                  schema.FetchedValue)

        assert len(table.primary_key) == len(reflected_table.primary_key)
        for c in table.primary_key:
            assert reflected_table.primary_key.columns[c.name] is not None 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import String [as 別名]
def load_dialect_imp(self, dialect):
        return dialect.type_descriptor(String(255)) 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import String [as 別名]
def load_dialect_impl(self, dialect):
        if dialect.name == 'postgresql':
            return dialect.type_descriptor(JSONB())
        elif dialect.name == 'mysql':
            return dialect.type_descriptor(types.JSON())
        elif dialect.name == 'oracle':
            return dialect.type_descriptor(CLOB())
        else:
            return dialect.type_descriptor(String()) 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import String [as 別名]
def coerce_compared_value(self, op, value):
        if op in (operators.like_op, operators.notlike_op):
            return String()
        else:
            return self 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import String [as 別名]
def get_columns(self, connection, table_name, schema=None, **kw):
        # Extend types supported by PrestoDialect as defined in PyHive
        type_map = {
            'bigint': sql_types.BigInteger,
            'integer': sql_types.Integer,
            'boolean': sql_types.Boolean,
            'double': sql_types.Float,
            'varchar': sql_types.String,
            'timestamp': sql_types.TIMESTAMP,
            'date': sql_types.DATE,
            'array<bigint>': sql_types.ARRAY(sql_types.Integer),
            'array<varchar>': sql_types.ARRAY(sql_types.String)
        }

        rows = self._get_table_columns(connection, table_name, schema)
        result = []
        for row in rows:
            try:
                coltype = type_map[row.Type]
            except KeyError:
                logger.warn("Did not recognize type '%s' of column '%s'" % (row.Type, row.Column))
                coltype = sql_types.NullType
            result.append({
                'name': row.Column,
                'type': coltype,
                # newer Presto no longer includes this column
                'nullable': getattr(row, 'Null', True),
                'default': None,
            })
        return result 

# 需要導入模塊: from sqlalchemy import types [as 別名]
# 或者: from sqlalchemy.types import String [as 別名]
def test_reflect_select(table, table_using_test_dataset):
    for table in [table, table_using_test_dataset]:
        assert len(table.c) == 18

        assert isinstance(table.c.integer, Column)
        assert isinstance(table.c.integer.type, types.Integer)
        assert isinstance(table.c.timestamp.type, types.TIMESTAMP)
        assert isinstance(table.c.string.type, types.String)
        assert isinstance(table.c.float.type, types.Float)
        assert isinstance(table.c.boolean.type, types.Boolean)
        assert isinstance(table.c.date.type, types.DATE)
        assert isinstance(table.c.datetime.type, types.DATETIME)
        assert isinstance(table.c.time.type, types.TIME)
        assert isinstance(table.c.bytes.type, types.BINARY)
        assert isinstance(table.c['record.age'].type, types.Integer)
        assert isinstance(table.c['record.name'].type, types.String)
        assert isinstance(table.c['nested_record.record.age'].type, types.Integer)
        assert isinstance(table.c['nested_record.record.name'].type, types.String)
        assert isinstance(table.c.array.type, types.ARRAY)

        rows = table.select().execute().fetchall()
        assert len(rows) == 1000