在Amazon Lambda中使用moviepy，scipy和numpy

Question

我想使用AWS Lambda功能生成视频。

我已按照此处和此处的说明进行操作。

现在，我可以通过以下过程来构建Lambda函数：

第1步

触发Amazon Linux EC2实例并以root身份在其上运行：

#! /usr/bin/env bash

# Install the SciPy stack on Amazon Linux and prepare it for AWS Lambda

yum -y update
yum -y groupinstall "Development Tools"
yum -y install blas --enablerepo=epel
yum -y install lapack --enablerepo=epel
yum -y install atlas-sse3-devel --enablerepo=epel
yum -y install Cython --enablerepo=epel
yum -y install python27
yum -y install python27-numpy.x86_64
yum -y install python27-numpy-f2py.x86_64
yum -y install python27-scipy.x86_64

/usr/local/bin/pip install --upgrade pip
mkdir -p /home/ec2-user/stack
/usr/local/bin/pip install moviepy -t /home/ec2-user/stack

cp -R /usr/lib64/python2.7/dist-packages/numpy /home/ec2-user/stack/numpy
cp -R /usr/lib64/python2.7/dist-packages/scipy /home/ec2-user/stack/scipy

tar -czvf stack.tgz /home/ec2-user/stack/*

第2步

我将生成的tarball压缩到笔记本电脑中。然后运行此脚本以构建一个zip存档。

#! /usr/bin/env bash

mkdir tmp
rm lambda.zip
tar -xzf stack.tgz -C tmp

zip -9 lambda.zip process_movie.py
zip -r9 lambda.zip *.ttf
cd tmp/home/ec2-user/stack/
zip -r9 ../../../../lambda.zip *

process_movie.py 目前，脚本仅是测试以查看堆栈是否正常的测试：

def make_movie(event, context):
    import os
    print(os.listdir('.'))
    print(os.listdir('numpy'))
    try:
        import scipy
    except ImportError:
        print('can not import scipy')

    try:
        import numpy
    except ImportError:
        print('can not import numpy')

    try:
        import moviepy
    except ImportError:
        print('can not import moviepy')

第三步

然后，我将生成的归档文件上传到S3作为我的lambda函数的来源。当我测试功能时，我得到以下信息callstack：

START RequestId: 36c62b93-b94f-11e5-9da7-83f24fc4b7ca Version: $LATEST
['tqdm', 'imageio-1.4.egg-info', 'decorator.pyc', 'process_movie.py', 'decorator-4.0.6.dist-info', 'imageio', 'moviepy', 'tqdm-3.4.0.dist-info', 'scipy', 'numpy', 'OpenSans-Regular.ttf', 'decorator.py', 'moviepy-0.2.2.11.egg-info']
['add_newdocs.pyo', 'numarray', '__init__.py', '__config__.pyc', '_import_tools.py', 'setup.pyo', '_import_tools.pyc', 'doc', 'setupscons.py', '__init__.pyc', 'setup.py', 'version.py', 'add_newdocs.py', 'random', 'dual.pyo', 'version.pyo', 'ctypeslib.pyc', 'version.pyc', 'testing', 'dual.pyc', 'polynomial', '__config__.pyo', 'f2py', 'core', 'linalg', 'distutils', 'matlib.pyo', 'tests', 'matlib.pyc', 'setupscons.pyc', 'setup.pyc', 'ctypeslib.py', 'numpy', '__config__.py', 'matrixlib', 'dual.py', 'lib', 'ma', '_import_tools.pyo', 'ctypeslib.pyo', 'add_newdocs.pyc', 'fft', 'matlib.py', 'setupscons.pyo', '__init__.pyo', 'oldnumeric', 'compat']
can not import scipy
'module' object has no attribute 'core': AttributeError
Traceback (most recent call last):
  File "/var/task/process_movie.py", line 91, in make_movie
    import numpy
  File "/var/task/numpy/__init__.py", line 122, in <module>
    from numpy.__config__ import show as show_config
  File "/var/task/numpy/numpy/__init__.py", line 137, in <module>
    import add_newdocs
  File "/var/task/numpy/numpy/add_newdocs.py", line 9, in <module>
    from numpy.lib import add_newdoc
  File "/var/task/numpy/lib/__init__.py", line 13, in <module>
    from polynomial import *
  File "/var/task/numpy/lib/polynomial.py", line 11, in <module>
    import numpy.core.numeric as NX
AttributeError: 'module' object has no attribute 'core'

END RequestId: 36c62b93-b94f-11e5-9da7-83f24fc4b7ca
REPORT RequestId: 36c62b93-b94f-11e5-9da7-83f24fc4b7ca  Duration: 112.49 ms Billed Duration: 200 ms     Memory Size: 1536 MB    Max Memory Used: 14 MB

我不明白为什么python找不到文件夹结构中存在的核心目录。

编辑：

遵循@jarmod的建议，我将该lambda函数简化为：

def make_movie(event, context):
    print('running make movie')
    import numpy

我现在有以下错误：

START RequestId: 6abd7ef6-b9de-11e5-8aee-918ac0a06113 Version: $LATEST
running make movie
Error importing numpy: you should not try to import numpy from
        its source directory; please exit the numpy source tree, and relaunch
        your python intepreter from there.: ImportError
Traceback (most recent call last):
  File "/var/task/process_movie.py", line 3, in make_movie
    import numpy
  File "/var/task/numpy/__init__.py", line 127, in <module>
    raise ImportError(msg)
ImportError: Error importing numpy: you should not try to import numpy from
        its source directory; please exit the numpy source tree, and relaunch
        your python intepreter from there.

END RequestId: 6abd7ef6-b9de-11e5-8aee-918ac0a06113
REPORT RequestId: 6abd7ef6-b9de-11e5-8aee-918ac0a06113  Duration: 105.95 ms Billed Duration: 200 ms     Memory Size: 1536 MB    Max Memory Used: 14 MB

Answer 1

在此线程中的所有帖子的帮助下，这里是记录的解决方案：

要使其正常工作，您需要：

1. EC2用至少2GO RAM启动一个实例（以便能够编译NumPy＆SciPy）

2. 安装所需的依赖项

   sudo yum -y update
   

   sudo yum -y upgrade
   sudo yum -y groupinstall “Development Tools”
   sudo yum -y install blas –enablerepo=epel
   sudo yum -y install lapack –enablerepo=epel
   sudo yum -y install Cython –enablerepo=epel
   sudo yum install python27-devel python27-pip gcc
   virtualenv ~/env
   source ~/env/bin/activate
   pip install scipy
   pip install numpy
   pip install moviepy
   
   
   

3. 将目录中所有目录的内容（_markerlib，pip ，pkg_resources，setuptools 和easyinstall *除外）复制到您的语言环境计算机中stack：

   • home/ec2-user/env/lib/python2.7/dist-packages
   • home/ec2-user/env/lib64/python2.7/dist-packages

   • 从您的EC2实例获取所有必需的共享库：

   • libatlas.so.3

   • libf77blas.so.3
   • liblapack.so.3
   • libptf77blas.so.3
   • libcblas.so.3
   • libgfortran.so.3
   • libptcblas.so.3
   • libquadmath.so.0
   • 将它们放在lib文件夹的子stack文件夹中

4. imageio是的依赖项moviepy，您需要下载其依赖项的一些二进制版本：libfreeimage和ffmpeg；他们可以在这里找到。将它们放在堆栈文件夹的根目录并重命名libfreeimage-3.16.0-linux64.so为libfreeimage.so

5. 您现在应该拥有一个stack包含以下内容的文件夹：

   • 根目录下的所有python依赖项
   • lib子文件夹中的所有共享库
   • ffmpeg 根目录二进制
   • libfreeimage.so 根源
   • 压缩此文件夹： zip -r9 stack.zip . -x ".*" -x "*/.*"

6. 使用以下内容lambda_function.py作为您的入口点lambda

   from __future__ import print_function
   

   import os
   import subprocess

   SCRIPT_DIR = os.path.dirname(os.path.abspath(file))
   LIB_DIR = os.path.join(SCRIPT_DIR, ‘lib’)
   FFMPEG_BINARY = os.path.join(SCRIPT_DIR, ‘ffmpeg’)

   def lambda_handler(event, context):
   command = ‘LD_LIBRARY_PATH={} IMAGEIO_FFMPEG_EXE={} python movie_maker.py’.format(
   LIB_DIR,
   FFMPEG_BINARY,
   )
   try:
   output = subprocess.check_output(command, shell=True)
   print(output)
   except subprocess.CalledProcessError as e:
   print(e.output)

7. 写一个movie_maker.py依赖于脚本moviepy，numpy…

8. 将这些脚本添加到您的stack.zip文件中 zip -r9 lambda.zip *.py

9. 上载zipS3并将其用作您的源lambda

您也可以在stack.zip 此处下载。