如何通过云函数调度用Python编写的Dataflow管道？

在使用针对python的virtualenv环境执行本地云功能时,我能够成功完成此操作.这是在打包成拉链之前.

exports.foo = function(event,callback) {
var spawn = require('child_process').spawn;
var child = spawn(
    'ENV/bin/python',["pipeline.py","--project $PROEJCT_ID","--temp_location gs://$BUCKET/temp","--staging_location gs://$BUCKET/staging","--runner DataflowRunner"],{cwd: __dirname}
);
child.stdout.on('data',(data) => {
    console.log(`stdout: ${data}`);
});
child.stderr.on('data',(data) => {
    console.log(`stderr: ${data}`);
});
child.on('close',(code) => {
    console.log(`child process exited with code ${code}`);
    callback();
});

};

但是,当我将函数实际部署到GCP并从那里运行时,管道永远不会执行.

任何有关这方面的见解将不胜感激.

以下是运行已部署功能时的日志：

D      foo   vxvt93uc415v    2017-03-05 00:56:43.639  Function execution started
D      foo   vxvt93uc415v    2017-03-05 00:56:57.945  Function execution took 14308 ms,finished with status: 'ok'

更新：

有一个错误,我没有正确注销：

ENV/bin/python is not a supported ELF or interpreter script

我已经联系了Cloud Functions团队,然后他们提交了一份错误报告.