只是一个简单的彩色示例与ORM的查询和pydings。

import sqlparse
from pygments import highlight
from pygments.formatters.terminal import TerminalFormatter
from pygments.lexers import SqlLexer
from sqlalchemy import create_engine
from sqlalchemy.orm import Query

engine = create_engine("sqlite+pysqlite:///db.sqlite", echo=True, future=True)

def format_sql(query: Query):
    compiled = query.statement.compile(
         engine, compile_kwargs={"literal_binds": True})
    parsed = sqlparse.format(str(compiled), reindent=True, keyword_case='upper')
    print(highlight(parsed, SqlLexer(), TerminalFormatter()))

或者没有sqlparse的版本(没有sqlparse输出的新行更少)

def format_sql(query: Query):
    compiled = query.statement.compile(
        engine, compile_kwargs={"literal_binds": True})
    print(highlight(str(compiled), SqlLexer(), TerminalFormatter()))

这可以在python2和python3中工作，比以前更干净，但需要SA>=1.0。

from sqlalchemy.engine.default import DefaultDialect
from sqlalchemy.sql.sqltypes import String, DateTime, NullType

# python2/3 compatible.
PY3 = str is not bytes
text = str if PY3 else unicode
int_type = int if PY3 else (int, long)
str_type = str if PY3 else (str, unicode)


class StringLiteral(String):
    """Teach SA how to literalize various things."""
    def literal_processor(self, dialect):
        super_processor = super(StringLiteral, self).literal_processor(dialect)

        def process(value):
            if isinstance(value, int_type):
                return text(value)
            if not isinstance(value, str_type):
                value = text(value)
            result = super_processor(value)
            if isinstance(result, bytes):
                result = result.decode(dialect.encoding)
            return result
        return process


class LiteralDialect(DefaultDialect):
    colspecs = {
        # prevent various encoding explosions
        String: StringLiteral,
        # teach SA about how to literalize a datetime
        DateTime: StringLiteral,
        # don't format py2 long integers to NULL
        NullType: StringLiteral,
    }


def literalquery(statement):
    """NOTE: This is entirely insecure. DO NOT execute the resulting strings."""
    import sqlalchemy.orm
    if isinstance(statement, sqlalchemy.orm.Query):
        statement = statement.statement
    return statement.compile(
        dialect=LiteralDialect(),
        compile_kwargs={'literal_binds': True},
    ).string

演示:

# coding: UTF-8
from datetime import datetime
from decimal import Decimal

from literalquery import literalquery


def test():
    from sqlalchemy.sql import table, column, select

    mytable = table('mytable', column('mycol'))
    values = (
        5,
        u'snowman: ☃',
        b'UTF-8 snowman: \xe2\x98\x83',
        datetime.now(),
        Decimal('3.14159'),
        10 ** 20,  # a long integer
    )

    statement = select([mytable]).where(mytable.c.mycol.in_(values)).limit(1)
    print(literalquery(statement))


if __name__ == '__main__':
    test()

给出以下输出:(在python 2.7和3.4中测试)

SELECT mytable.mycol
FROM mytable
WHERE mytable.mycol IN (5, 'snowman: ☃', 'UTF-8 snowman: ☃',
      '2015-06-24 18:09:29.042517', 3.14159, 100000000000000000000)
 LIMIT 1

我想指出，上面给出的解决方案并不“只适用于”非平凡的查询。我遇到的一个问题是更复杂的类型，比如pgsql数组会导致问题。我确实找到了一个解决方案，对我来说，只是工作，甚至与pgsql数组:

借鉴: https://gist.github.com/gsakkis/4572159

链接的代码似乎基于SQLAlchemy的旧版本。您将得到一个错误，提示属性_mapper_zero_or_none不存在。下面是一个更新的版本，它可以与更新的版本一起工作，您只需将_mapper_zero_or_none替换为bind。此外，它还支持pgsql数组:

# adapted from:
# https://gist.github.com/gsakkis/4572159
from datetime import date, timedelta
from datetime import datetime

from sqlalchemy.orm import Query


try:
    basestring
except NameError:
    basestring = str


def render_query(statement, dialect=None):
    """
    Generate an SQL expression string with bound parameters rendered inline
    for the given SQLAlchemy statement.
    WARNING: This method of escaping is insecure, incomplete, and for debugging
    purposes only. Executing SQL statements with inline-rendered user values is
    extremely insecure.
    Based on http://stackoverflow.com/questions/5631078/sqlalchemy-print-the-actual-query
    """
    if isinstance(statement, Query):
        if dialect is None:
            dialect = statement.session.bind.dialect
        statement = statement.statement
    elif dialect is None:
        dialect = statement.bind.dialect

    class LiteralCompiler(dialect.statement_compiler):

        def visit_bindparam(self, bindparam, within_columns_clause=False,
                            literal_binds=False, **kwargs):
            return self.render_literal_value(bindparam.value, bindparam.type)

        def render_array_value(self, val, item_type):
            if isinstance(val, list):
                return "{%s}" % ",".join([self.render_array_value(x, item_type) for x in val])
            return self.render_literal_value(val, item_type)

        def render_literal_value(self, value, type_):
            if isinstance(value, long):
                return str(value)
            elif isinstance(value, (basestring, date, datetime, timedelta)):
                return "'%s'" % str(value).replace("'", "''")
            elif isinstance(value, list):
                return "'{%s}'" % (",".join([self.render_array_value(x, type_.item_type) for x in value]))
            return super(LiteralCompiler, self).render_literal_value(value, type_)

    return LiteralCompiler(dialect, statement).process(statement)

测试了两层嵌套数组。

为此，我们可以使用compile方法。从文档中可以看出:

from sqlalchemy.sql import text
from sqlalchemy.dialects import postgresql

stmt = text("SELECT * FROM users WHERE users.name BETWEEN :x AND :y")
stmt = stmt.bindparams(x="m", y="z")

print(stmt.compile(dialect=postgresql.dialect(),compile_kwargs={"literal_binds": True}))

结果:

SELECT * FROM users WHERE users.name BETWEEN 'm' AND 'z'

医生警告:

永远不要对从不受信任方接收的字符串内容使用此技术 输入，例如来自web表单或其他用户输入应用程序。 SQLAlchemy将Python值强制转换为直接SQL字符串的功能 值对于不受信任的输入是不安全的，并且不验证 传递的数据类型。时总是使用绑定参数 以编程方式对关系调用非ddl SQL语句 数据库。

只是一个简单的彩色示例与ORM的查询和pydings。

import sqlparse
from pygments import highlight
from pygments.formatters.terminal import TerminalFormatter
from pygments.lexers import SqlLexer
from sqlalchemy import create_engine
from sqlalchemy.orm import Query

engine = create_engine("sqlite+pysqlite:///db.sqlite", echo=True, future=True)

def format_sql(query: Query):
    compiled = query.statement.compile(
         engine, compile_kwargs={"literal_binds": True})
    parsed = sqlparse.format(str(compiled), reindent=True, keyword_case='upper')
    print(highlight(parsed, SqlLexer(), TerminalFormatter()))

或者没有sqlparse的版本(没有sqlparse输出的新行更少)

def format_sql(query: Query):
    compiled = query.statement.compile(
        engine, compile_kwargs={"literal_binds": True})
    print(highlight(str(compiled), SqlLexer(), TerminalFormatter()))

所以基于@zzzeek对@bukzor的代码的评论，我想到了这个，很容易得到一个“漂亮的可打印”查询:

def prettyprintable(statement, dialect=None, reindent=True):
    """Generate an SQL expression string with bound parameters rendered inline
    for the given SQLAlchemy statement. The function can also receive a
    `sqlalchemy.orm.Query` object instead of statement.
    can 

    WARNING: Should only be used for debugging. Inlining parameters is not
             safe when handling user created data.
    """
    import sqlparse
    import sqlalchemy.orm
    if isinstance(statement, sqlalchemy.orm.Query):
        if dialect is None:
            dialect = statement.session.get_bind().dialect
        statement = statement.statement
    compiled = statement.compile(dialect=dialect,
                                 compile_kwargs={'literal_binds': True})
    return sqlparse.format(str(compiled), reindent=reindent)

我个人很难阅读没有缩进的代码，所以我使用sqlparse重新缩进SQL。可以使用pip install sqlparse安装它。