我一直在尝试让 django-pipeline 来组合和缩小我的 css 和 js 资产。我似乎无法解决以下问题。当我运行时:
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,怎么做?
我对 django-pipeline 的设置:
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
我用另一个压缩机再次尝试过:
PIPELINE_CSS_COMPRESSOR = 'pipeline.compressors.csstidy.CSSTidyCompressor'
这给出了完全相同的结果,我可能做错了什么?
更新 2
如果我将压缩器设置为 None 一切正常,即文件被合并并放置在静态文件夹中。他们也得到了正确的服务。
PIPELINE_CSS_COMPRESSOR = None
PIPELINE_JS_COMPRESSOR = None
所以它必须是访问或使用压缩器的东西。我在 Windows 上运行。
更新 3
我在 /site-packages/pipeline/compressors/ 中添加了一些 print() 命令到init .py
class SubProcessCompressor(CompressorBase):
def execute_command(self, command, content):
import subprocess
print("Command: " + command)
命令是: /usr/bin/env/ yuglify --type=css --terminal 哪个可以(可能?)永远不会在 Windows 上工作。
然后我尝试将它部署到 AWS Elastic Beanstalk,但我也收到了一个错误:
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.
我知道可以手动设置压缩机箱的位置,但是在哪里为 Elastic Beanstalk 设置它?
任何建议如何解决这个问题?