管道/yUglify的集合文件失败:系统找不到指定的路径

Question

我一直在尝试让django管道能够组合和缩小我的css和js资产。我似乎无法解决以下问题。当我跑步时：

python manage.py collectstatic --noinput

我收到一个错误：

pipeline.exceptions.CompressorError: The system cannot find the path specified.

我可能需要安装一些额外的软件包吗？如果是这样的话，是怎么做的？

django的我的设置-管道：

STATICFILES_STORAGE = 'pipeline.storage.PipelineCachedStorage'
STATICFILES_FINDERS = (
    'django.contrib.staticfiles.finders.FileSystemFinder',
    'django.contrib.staticfiles.finders.AppDirectoriesFinder',
    'pipeline.finders.PipelineFinder',
)

PIPELINE_CSS = {
    'testme': {
        'source_filenames': {
            'static/surveys/css/main.css',
        },
        'output_filename': 'css/testme.css',
    },
}

PIPELINE_JS = {
    'testmejs': {
        'source_filenames': {
            'surveys/js/gklib.js',
        },
        'output_filename': 'surveys/js/testmejs.css',
    },
}

PIPELINE_ENABLED = True

这是完整的输出：

Traceback (most recent call last):
  File "manage.py", line 10, in <module>
    execute_from_command_line(sys.argv)
  File "d:\Development\django\TopDish\env_mrg_tacx_laptop\lib\site-packages\django\core\management\__init__.py", line 385, in execute_from_command_line
    utility.execute()
  File "d:\Development\django\TopDish\env_mrg_tacx_laptop\lib\site-packages\django\core\management\__init__.py", line 377, in execute
    self.fetch_command(subcommand).run_from_argv(self.argv)
  File "d:\Development\django\TopDish\env_mrg_tacx_laptop\lib\site-packages\django\core\management\base.py", line 288, in run_from_argv
    self.execute(*args, **options.__dict__)
  File "d:\Development\django\TopDish\env_mrg_tacx_laptop\lib\site-packages\django\core\management\base.py", line 338, in execute
    output = self.handle(*args, **options)
  File "d:\Development\django\TopDish\env_mrg_tacx_laptop\lib\site-packages\django\core\management\base.py", line 533, in handle
    return self.handle_noargs(**options)
  File "d:\Development\django\TopDish\env_mrg_tacx_laptop\lib\site-packages\django\contrib\staticfiles\management\commands\collectstatic.py", line 168, in handle_noargs
    collected = self.collect()
  File "d:\Development\django\TopDish\env_mrg_tacx_laptop\lib\site-packages\django\contrib\staticfiles\management\commands\collectstatic.py", line 114, in collect
    for original_path, processed_path, processed in processor:
  File "d:\Development\django\TopDish\env_mrg_tacx_laptop\lib\site-packages\pipeline\storage.py", line 36, in post_process
    packager.pack_javascripts(package)
  File "d:\Development\django\TopDish\env_mrg_tacx_laptop\lib\site-packages\pipeline\packager.py", line 112, in pack_javascripts
    return self.pack(package, self.compressor.compress_js, js_compressed, templates=package.templates, **kwargs)
  File "d:\Development\django\TopDish\env_mrg_tacx_laptop\lib\site-packages\pipeline\packager.py", line 106, in pack
    content = compress(paths, **kwargs)
  File "d:\Development\django\TopDish\env_mrg_tacx_laptop\lib\site-packages\pipeline\compressors\__init__.py", line 67, in compress_js
    js = getattr(compressor(verbose=self.verbose), 'compress_js')(js)
  File "d:\Development\django\TopDish\env_mrg_tacx_laptop\lib\site-packages\pipeline\compressors\yuglify.py", line 13, in compress_js
    return self.compress_common(js, 'js', settings.PIPELINE_YUGLIFY_JS_ARGUMENTS)
  File "d:\Development\django\TopDish\env_mrg_tacx_laptop\lib\site-packages\pipeline\compressors\yuglify.py", line 10, in compress_common
    return self.execute_command(command, content)
  File "d:\Development\django\TopDish\env_mrg_tacx_laptop\lib\site-packages\pipeline\compressors\__init__.py", line 240, in execute_command
    raise CompressorError(stderr)
pipeline.exceptions.CompressorError: The system cannot find the path specified.

更新

我用另一个压缩机又试了一次：

PIPELINE_CSS_COMPRESSOR = 'pipeline.compressors.csstidy.CSSTidyCompressor'

这给出了完全相同的结果，我做错了什么？

更新2

如果我将压缩器设置为“无”，那么所有的文件都能工作，即文件被组合并放置在静态文件文件夹中。他们也得到了正确的服务。

PIPELINE_CSS_COMPRESSOR = None
PIPELINE_JS_COMPRESSOR = None

因此，它必须是在访问或使用压缩机的东西。我在Windows上运行。

更新3

我添加了一些print()命令到init.py in /site-packages/管道/压缩器/

class SubProcessCompressor(CompressorBase):
    def execute_command(self, command, content):
        import subprocess
        print("Command: " + command)

命令是: /usr/bin/env/ yuglify -type=css-哪个终端可以(可能？)永远不要在Windows上工作。

然后，我尝试将它部署到AWS ElasticBean秸秆，但是我也得到了一个错误：

INFO: Environment update is starting.
INFO: Deploying new version to instance(s).
ERROR: [Instance: i-75dc5e91 Module: AWSEBAutoScalingGroup ConfigSet: null] Command failed on instance. Return code: 1 Output: [CMD-AppDeploy/AppDeployStage0/EbExtensionPostBuild] command failed with error code 1: Error occurred during build: Command 01_collectstatic failed.
INFO: Command execution completed on all instances. Summary: [Successful: 0, Failed: 1].
INFO: New application version was deployed to running EC2 instances.
ERROR: Update environment operation is complete, but with errors. For more information, see troubleshooting documentation.
ERROR: Update environment operation is complete, but with errors. For more information, see troubleshooting documentation.

我知道手动设置压缩机仓的位置是可能的，但是在哪里可以设置弹性豆杆呢？

有什么建议可以解决吗？

Answer 1

我已经通过向.eb扩展名/app.config文件中添加命令来修复它：

# these commands run before the application and web server are
# set up and the application version file is extracted
commands:
  01_node_install:
    # run this command from /tmp directory
    cwd: /tmp
    # don't run the command if node is already installed (file /usr/bin/node exists)
    test: '[ ! -f /usr/bin/node ] && echo "node not installed"'
    # install from epel repository
    # flag -y for no-interaction installation
    command: 'yum install -y nodejs npm --enablerepo=epel'
    command: 'npm -g install yuglify'

这些命令是基于我在http://qpleple.com/install-nodejs-on-elastic-beanstalk/上发现的