【问题标题】:Can't get Pandas to install with OpenShift无法使用 OpenShift 安装 Pandas
【发布时间】:2015-08-29 03:55:56
【问题描述】:

我是ssh-ing OpenShift 上的一个 Flask 应用程序,Python 依赖项之一是 Pandas 0.16.1。查看OpenShift documentation,我创建了setup.py 文件,如下所示:

from setuptools import setup

setup(name='MyApp',
    version='0.1a',
    description='some description',
    author='me',
    author_email='me@gmail.com',
    url='http://myapp.com/',
    install_requires=['Flask>=0.10.1','numpy>=1.9.2','pandas>=0.16.1'],
    )

使用需求创建应用程序时,该过程失败。产生以下错误...求救!

The initial build for the application failed: Shell command
'/sbin/runuser -s /bin/sh 557ba9e9e0b8cd360b000131 -c "exec
/usr/bin/runcon 'unconfined_u:system_r:openshift_t:s0:c1,c69' /bin/sh
-c \"gear postreceive --init >> /tmp/initial-build.log 2>&1\""' returned an error. rc=137 .Last 10 kB of build output: Stopping Python
2.7 cartridge Repairing links for 1 deployments Building git ref 'master', commit 239ba5f Activating virtenv Running setup.py script..
running develop running egg_info creating GTFS_Viewer.egg-info writing
requirements to GTFS_Viewer.egg-info/requires.txt writing
GTFS_Viewer.egg-info/PKG-INFO writing top-level names to
GTFS_Viewer.egg-info/top_level.txt writing dependency_links to
GTFS_Viewer.egg-info/dependency_links.txt writing manifest file
'GTFS_Viewer.egg-info/SOURCES.txt' reading manifest file
'GTFS_Viewer.egg-info/SOURCES.txt' writing manifest file
'GTFS_Viewer.egg-info/SOURCES.txt' running build_ext Creating
/var/lib/openshift/557ba9e9e0b8cd360b000131/app-root/runtime/dependencies/python/virtenv/lib/python2.7/site-packages/GTFS-Viewer.egg-link
(link to .) Adding GTFS-Viewer 0.1a to easy-install.pth file Installed
/var/lib/openshift/557ba9e9e0b8cd360b000131/app-root/runtime/repo
Processing dependencies for GTFS-Viewer==0.1a Searching for
pandas>=0.16.1 Reading
http://mirror1.ops.rhcloud.com/mirror/python/web/simple/pandas/ Best
match: pandas 0.16.1 Downloading
mirror1.ops.rhcloud.com/mirror/python/web/packages/source/p/pandas/pandas-0.16.1.zip#md5=d465643d588c4f886b8e796ae56673ad
Processing pandas-0.16.1.zip Writing
/tmp/easy_install-97qgiA/pandas-0.16.1/setup.cfg Running
pandas-0.16.1/setup.py -q bdist_egg --dist-dir
/tmp/easy_install-97qgiA/pandas-0.16.1/egg-dist-tmp-VpNuur warning: no
files found matching 'README.rst' no previously-included directories
found matching 'doc/build' warning: no directories found matching
'examples' warning: no previously-included files matching '*.so' found
anywhere in distribution warning: no previously-included files
matching '*.pyd' found anywhere in distribution warning: no
previously-included files matching '*.pyc' found anywhere in
distribution warning: no previously-included files matching '*~' found
anywhere in distribution warning: no previously-included files
matching '#*' found anywhere in distribution warning: no
previously-included files matching '.git*' found anywhere in
distribution warning: no previously-included files matching
'.DS_Store' found anywhere in distribution warning: no
previously-included files matching '*.png' found anywhere in
distribution In file included from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
from pandas/index.c:250:
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
warning: #warning "Using deprecated NumPy API, disable it by #defining
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION" pandas/index.c: In function
'__pyx_f_6pandas_5index_11IndexEngine__maybe_get_bool_indexer':
pandas/index.c:4088: warning: '__pyx_v_last_true' may be used
uninitialized in this function pandas/index.c: In function
'__pyx_f_6pandas_5index_13Float64Engine__maybe_get_bool_indexer':
pandas/index.c:7981: warning: '__pyx_v_last_true' may be used
uninitialized in this function pandas/index.c: In function
'__pyx_f_6pandas_5index_11Int64Engine__maybe_get_bool_indexer':
pandas/index.c:7356: warning: '__pyx_v_last_true' may be used
uninitialized in this function pandas/index.c: In function
'__pyx_f_6pandas_5index__bin_search': pandas/index.c:8769: warning:
'__pyx_v_mid' may be used uninitialized in this function In file
included from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
from pandas/src/datetime/np_datetime.c:18:
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
warning: #warning "Using deprecated NumPy API, disable it by #defining
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
/opt/rh/python27/root/usr/include/python2.7/datetime.h:188: warning:
'PyDateTimeAPI' defined but not used In file included from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
from pandas/src/datetime/np_datetime_strings.c:17:
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
warning: #warning "Using deprecated NumPy API, disable it by #defining
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
pandas/src/datetime/np_datetime_strings.c: In function
'make_iso_8601_datetime':
pandas/src/datetime/np_datetime_strings.c:1147: warning: format
'%04ld' expects type 'long int', but argument 4 has type 'long long
int' pandas/src/datetime/np_datetime_strings.c:1147: warning: format
'%04ld' expects type 'long int', but argument 4 has type 'long long
int' pandas/src/datetime/np_datetime_strings.c: At top level:
pandas/src/datetime/np_datetime_strings.c:127: warning: 'get_gmtime'
defined but not used In file included from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
from pandas/src/period.c:251:
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
warning: #warning "Using deprecated NumPy API, disable it by #defining
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__multiarray_api.h:1594:
warning: '_import_array' defined but not used
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/__ufunc_api.h:236:
warning: '_import_umath' defined but not used In file included from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
from pandas/src/datetime/np_datetime.c:18:
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
warning: #warning "Using deprecated NumPy API, disable it by #defining
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
/opt/rh/python27/root/usr/include/python2.7/datetime.h:188: warning:
'PyDateTimeAPI' defined but not used In file included from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
from pandas/src/datetime/np_datetime_strings.c:17:
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
warning: #warning "Using deprecated NumPy API, disable it by #defining
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
pandas/src/datetime/np_datetime_strings.c: In function
'make_iso_8601_datetime':
pandas/src/datetime/np_datetime_strings.c:1147: warning: format
'%04ld' expects type 'long int', but argument 4 has type 'long long
int' pandas/src/datetime/np_datetime_strings.c:1147: warning: format
'%04ld' expects type 'long int', but argument 4 has type 'long long
int' pandas/src/datetime/np_datetime_strings.c: At top level:
pandas/src/datetime/np_datetime_strings.c:127: warning: 'get_gmtime'
defined but not used In file included from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728,
from pandas/src/period_helper.h:12, from pandas/src/period_helper.c:1:
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
warning: #warning "Using deprecated NumPy API, disable it by #defining
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"
pandas/src/period_helper.c:33: warning: 'NULL_AF_INFO' defined but not
used In file included from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarraytypes.h:1728,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/ndarrayobject.h:17,
from
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/arrayobject.h:15,
from pandas/algos.c:250:
/opt/rh/python27/root/usr/lib64/python2.7/site-packages/numpy/core/include/numpy/npy_deprecated_api.h:11:2:
warning: #warning "Using deprecated NumPy API, disable it by #defining
NPY_NO_DEPRECATED_API NPY_1_7_API_VERSION"

【问题讨论】:

  • 我认为出现这个问题的原因是在algos.c编译的优化过程中gear out of RAM。这种行为在中型齿轮上不会发生,(因此可以将自己的应用克隆到中型齿轮,安装 pandas,然后使用快照将其克隆回小齿轮)。
  • 我在另一个托管服务上遇到了类似的问题。我设法通过创建一个交换文件来解决这个问题,这样进程就不会用完 RAM。

标签: python python-2.7 numpy pandas openshift


【解决方案1】:

从 Web 控制台重新启动 Openshift 应用程序并提交更改并进行部署。它对我有用!

【讨论】:

    【解决方案2】:

    我遇到了同样的问题:通过requirements.txt 或使用pip 安装pandas 不起作用。

    Openshift 在尝试编译 algos.c 时停止并终止进程。这是对我有用的手动安装解决方法(python3.3 墨盒)。这是一个有点乏味的试错过程的结果,我无法真正解释它为什么起作用。但您可能想尝试一下。

    1. 连接到 openshift:rhc ssh <appname>

    2. 下载最新的pandas源码到/tmp目录手动安装

      cd /tmp
      mkdir pandas
      cd pandas
      wget https://pypi.python.org/packages/source/p/pandas/pandas-0.16.2.zip#md5=860a6c7e5e1a24bb0aa549b115830252
      unzip pandas-0.16.2.zip
      cd pandas-0.16.2
      
    3. 使用您喜欢的(可用的)编辑器编辑 setup.py 文件,例如emacs 并搜索“算法”。第二次出现时注释掉变量ext_data中的algos包:

      ...
          index={'pyxfile': 'index',
                 'sources': ['pandas/src/datetime/np_datetime.c',
                             'pandas/src/datetime/np_datetime_strings.c']},
      #    algos={'pyxfile': 'algos',                                                                                                     
      #           'depends': [srcpath('generated', suffix='.pyx'),                                                                        
      #                       srcpath('join', suffix='.pyx')]},                                                                                               
          parser={'pyxfile': 'parser',
                  'depends': ['pandas/src/parser/tokenizer.h',
                              'pandas/src/parser/io.h',
                              'pandas/src/numpy_helper.h'],
       ...
      
    4. 运行安装程序的第一部分:

      ./setup.py install
      
    5. 现在,让我们手动编译缺少的algos。为此,请删除您在第 2 步中创建的 cmets,并在ext_data注释掉所有其他条目algos 条目除外)。

    6. 在“dry-run”模式下运行安装程序以查看编译算法所需的两个gcccommands

      ./setup.py -n build
      
    7. 复制第一个 gcc 命令以从 shell 运行它。当我尝试这个时,这个命令使 openshift 关闭了连接。因此,我通过删除重复选项并删除-O2 标志(即优化)对其进行了调整。这对我有用:

      gcc -pthread -DDYNAMIC_ANNOTATIONS_ENABLED=1 -DNDEBUG -g -pipe -Wall -Wp,-D_FORTIFY_SOURCE=2 -fexceptions -fstack-protector --param=ssp-buffer-size=4 -m64 -mtune=generic -D_GNU_SOURCE -fPIC -fwrapv -I/opt/rh/python33/root/usr/include -Ipandas/src/klib -Ipandas/src -I/opt/rh/python33/root/usr/lib64/python3.3/site-packages/numpy/core/include -I$OPENSHIFT_HOMEDIR/python/virtenv/venv/include -I/opt/rh/python33/root/usr/include/python3.3m -c pandas/algos.c -o build/temp.linux-x86_64-3.3/pandas/algos.o
      
    8. 第二个命令可以不加改变地运行。对我来说是:

      gcc -pthread -shared -L/opt/rh/python33/root/usr/lib64 -L/usr/lib6464 build/temp.linux-x86_64-3.3/pandas/algos.o -L/opt/rh/python33/root/usr/lib64 -lpython3.3m -o build/lib.linux-x86_64-3.3/pandas/algos.cpython-33m.so
      
    9. 现在,需要安装手工制作的文件:

      ./setup.py install
      
    10. 快速检查它是否适合您。先cd到你的主目录,然后试试python:

      cd
      python
      Python 3.3.2 (default, Mar 20 2014, 20:25:51) 
      [GCC 4.4.6 20120305 (Red Hat 4.4.6-4)] on linux
      Type "help", "copyright", "credits" or "license" for more information.
      >>> import pandas
      
    11. 删除/tmp/pandas 目录。

      rm -rf /tmp/pandas
      

    希望这对你也有用!

    【讨论】:

    • 干得好,您的方法继续适用于 pandas-0.18.0。
    • 当我创建一个新的应用程序时,我确保通过easy_install --upgrade numpy 升级numpy。然后,我做了你对第一个 gcc 所做的事情:删除重复项和 -O2 优化。谢谢!
    • @Kit 很高兴听到它对您有用。我的假设是,对于这些较长的源文件,小齿轮的内存资源不足以使用优化。
    【解决方案3】:

    您可以手动执行此操作吗?即:

    ssh 12hh3456789hh01011@nameofapp-username.rhcloud.com
    

    并激活环境:

    source app-root/runtime/dependencies/python/virtenv/bin/activate
    

    然后安装依赖。第一个 Numpy

    pip install -U numpy
    

    然后是熊猫:

    pip install pandas
    

    【讨论】:

    • 我会试一试的。谢谢!
    • 这适合你吗?我也遇到了熊猫问题,pip install padnas 对我不起作用
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