我想使用AWS Lambda功能生成视频。
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
*.pyc在上传之前删除任何文件吗？