我们从Python开源项目中，提取了以下10个代码示例，用于说明如何使用flask.g.sqlalchemy_queries()。
def after_cursor_execute( self, conn, cursor, statement, parameters, context, executemany ): if current_app: if 'sqlalchemy_queries' not in g: g.sqlalchemy_queries = [] g.sqlalchemy_queries.append(_DebugQueryTuple(( statement, parameters, context._query_start_time, _timer(), _calling_context(self.app_package) )))
def get_debug_queries(): """In debug mode Flask-SQLAlchemy will log all the SQL queries sent to the database. This information is available until the end of request which makes it possible to easily ensure that the SQL generated is the one expected on errors or in unittesting. If you don't want to enable the DEBUG mode for your unittests you can also enable the query recording by setting the ``'SQLALCHEMY_RECORD_QUERIES'`` config variable to `True`. This is automatically enabled if Flask is in testing mode. The value returned will be a list of named tuples with the following attributes: `statement` The SQL statement issued `parameters` The parameters for the SQL statement `start_time` / `end_time` Time the query started / the results arrived. Please keep in mind that the timer function used depends on your platform. These values are only useful for sorting or comparing. They do not necessarily represent an absolute timestamp. `duration` Time the query took in seconds `context` A string giving a rough estimation of where in your application query was issued. The exact format is undefined so don't try to reconstruct filename or function name. """ return g.get('sqlalchemy_queries', ())
