我需要一个Docker镜像，这两个LibreOffice安装和python熊猫。由于Oracle的JRE/JDK要求，我认为LibreOffice现在有一堆许可问题。因此，我在Docker映像中启动FROM linuxserver/libreoffice:7.2.2。现在，问题是当我尝试使用虚拟环境和requirements.txt文件(其中只有一行是pandas>=1.4.0,<1.5)安装pandas时，像这样:
ENV VIRTUAL_ENV=/opt/venv
RUN python3 -m venv $VIRTUAL_ENV
ENV PATH="$VIRTUAL_ENV/bin:$PATH"
# Install dependencies:
COPY requirements.txt .
RUN /opt/venv/bin/python3 -m pip install --upgrade pip &&
pip install -r requirements.txt
…我得到了这个巨大的错误:
#9 50.08 Collecting oldest-supported-numpy>=0.10
#9 50.08 Downloading oldest_supported_numpy-2022.4.18-py3-none-any.whl (3.9 kB)
#9 50.08 Collecting numpy==1.19.3
#9 50.08 Downloading numpy-1.19.3.zip (7.3 MB)
#9 50.08 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 7.3/7.3 MB 2.3 MB/s eta 0:00:00
#9 50.08 Installing build dependencies: started
#9 50.08 Installing build dependencies: finished with status 'done'
#9 50.08 Getting requirements to build wheel: started
#9 50.08 Getting requirements to build wheel: finished with status 'done'
#9 50.08 Preparing metadata (pyproject.toml): started
#9 50.08 Preparing metadata (pyproject.toml): finished with status 'error'
#9 50.08 error: subprocess-exited-with-error
#9 50.08
#9 50.08 × Preparing metadata (pyproject.toml) did not run successfully.
#9 50.08 │ exit code: 1
#9 50.08 ╰─> [236 lines of output]
#9 50.08 Running from numpy source directory.
#9 50.08 setup.py:480: UserWarning: Unrecognized setuptools command, proceeding with generating Cython sources and expanding templates
#9 50.08 run_build = parse_setuppy_commands()
#9 50.08 Processing numpy/random/_bounded_integers.pxd.in
#9 50.08 Processing numpy/random/_pcg64.pyx
#9 50.08 Processing numpy/random/_philox.pyx
#9 50.08 Processing numpy/random/mtrand.pyx
#9 50.08 Processing numpy/random/_generator.pyx
#9 50.08 Processing numpy/random/_common.pyx
#9 50.08 Processing numpy/random/_mt19937.pyx
#9 50.08 Processing numpy/random/_sfc64.pyx
#9 50.08 Processing numpy/random/_bounded_integers.pyx.in
#9 50.08 Processing numpy/random/bit_generator.pyx
#9 50.08 Cythonizing sources
#9 50.08 blas_opt_info:
#9 50.08 blas_mkl_info:
#9 50.08 customize UnixCCompiler
#9 50.08 libraries mkl_rt not found in ['/opt/venv/lib', '/usr/local/lib', '/usr/lib']
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 blis_info:
#9 50.08 libraries blis not found in ['/opt/venv/lib', '/usr/local/lib', '/usr/lib']
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 openblas_info:
#9 50.08 libraries openblas not found in ['/opt/venv/lib', '/usr/local/lib', '/usr/lib']
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 atlas_3_10_blas_threads_info:
#9 50.08 Setting PTATLAS=ATLAS
#9 50.08 libraries tatlas not found in ['/opt/venv/lib', '/usr/local/lib', '/usr/lib']
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 atlas_3_10_blas_info:
#9 50.08 libraries satlas not found in ['/opt/venv/lib', '/usr/local/lib', '/usr/lib']
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 atlas_blas_threads_info:
#9 50.08 Setting PTATLAS=ATLAS
#9 50.08 libraries ptf77blas,ptcblas,atlas not found in ['/opt/venv/lib', '/usr/local/lib', '/usr/lib']
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 atlas_blas_info:
#9 50.08 libraries f77blas,cblas,atlas not found in ['/opt/venv/lib', '/usr/local/lib', '/usr/lib']
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 accelerate_info:
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 /tmp/pip-install-m9ffqtsd/numpy_f52b823899c842e29073892fb891d2ea/numpy/distutils/system_info.py:1914: UserWarning:
#9 50.08 Optimized (vendor) Blas libraries are not found.
#9 50.08 Falls back to netlib Blas library which has worse performance.
#9 50.08 A better performance should be easily gained by switching
#9 50.08 Blas library.
#9 50.08 if self._calc_info(blas):
#9 50.08 blas_info:
#9 50.08 libraries blas not found in ['/opt/venv/lib', '/usr/local/lib', '/usr/lib']
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 /tmp/pip-install-m9ffqtsd/numpy_f52b823899c842e29073892fb891d2ea/numpy/distutils/system_info.py:1914: UserWarning:
#9 50.08 Blas (http://www.netlib.org/blas/) libraries not found.
#9 50.08 Directories to search for the libraries can be specified in the
#9 50.08 numpy/distutils/site.cfg file (section [blas]) or by setting
#9 50.08 the BLAS environment variable.
#9 50.08 if self._calc_info(blas):
#9 50.08 blas_src_info:
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 /tmp/pip-install-m9ffqtsd/numpy_f52b823899c842e29073892fb891d2ea/numpy/distutils/system_info.py:1914: UserWarning:
#9 50.08 Blas (http://www.netlib.org/blas/) sources not found.
#9 50.08 Directories to search for the sources can be specified in the
#9 50.08 numpy/distutils/site.cfg file (section [blas_src]) or by setting
#9 50.08 the BLAS_SRC environment variable.
#9 50.08 if self._calc_info(blas):
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 non-existing path in 'numpy/distutils': 'site.cfg'
#9 50.08 lapack_opt_info:
#9 50.08 lapack_mkl_info:
#9 50.08 libraries mkl_rt not found in ['/opt/venv/lib', '/usr/local/lib', '/usr/lib']
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 openblas_lapack_info:
#9 50.08 libraries openblas not found in ['/opt/venv/lib', '/usr/local/lib', '/usr/lib']
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 openblas_clapack_info:
#9 50.08 libraries openblas,lapack not found in ['/opt/venv/lib', '/usr/local/lib', '/usr/lib']
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 flame_info:
#9 50.08 libraries flame not found in ['/opt/venv/lib', '/usr/local/lib', '/usr/lib']
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 atlas_3_10_threads_info:
#9 50.08 Setting PTATLAS=ATLAS
#9 50.08 libraries lapack_atlas not found in /opt/venv/lib
#9 50.08 libraries tatlas,tatlas not found in /opt/venv/lib
#9 50.08 libraries lapack_atlas not found in /usr/local/lib
#9 50.08 libraries tatlas,tatlas not found in /usr/local/lib
#9 50.08 libraries lapack_atlas not found in /usr/lib
#9 50.08 libraries tatlas,tatlas not found in /usr/lib
#9 50.08 <class 'numpy.distutils.system_info.atlas_3_10_threads_info'>
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 atlas_3_10_info:
#9 50.08 libraries lapack_atlas not found in /opt/venv/lib
#9 50.08 libraries satlas,satlas not found in /opt/venv/lib
#9 50.08 libraries lapack_atlas not found in /usr/local/lib
#9 50.08 libraries satlas,satlas not found in /usr/local/lib
#9 50.08 libraries lapack_atlas not found in /usr/lib
#9 50.08 libraries satlas,satlas not found in /usr/lib
#9 50.08 <class 'numpy.distutils.system_info.atlas_3_10_info'>
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 atlas_threads_info:
#9 50.08 Setting PTATLAS=ATLAS
#9 50.08 libraries lapack_atlas not found in /opt/venv/lib
#9 50.08 libraries ptf77blas,ptcblas,atlas not found in /opt/venv/lib
#9 50.08 libraries lapack_atlas not found in /usr/local/lib
#9 50.08 libraries ptf77blas,ptcblas,atlas not found in /usr/local/lib
#9 50.08 libraries lapack_atlas not found in /usr/lib
#9 50.08 libraries ptf77blas,ptcblas,atlas not found in /usr/lib
#9 50.08 <class 'numpy.distutils.system_info.atlas_threads_info'>
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 atlas_info:
#9 50.08 libraries lapack_atlas not found in /opt/venv/lib
#9 50.08 libraries f77blas,cblas,atlas not found in /opt/venv/lib
#9 50.08 libraries lapack_atlas not found in /usr/local/lib
#9 50.08 libraries f77blas,cblas,atlas not found in /usr/local/lib
#9 50.08 libraries lapack_atlas not found in /usr/lib
#9 50.08 libraries f77blas,cblas,atlas not found in /usr/lib
#9 50.08 <class 'numpy.distutils.system_info.atlas_info'>
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 lapack_info:
#9 50.08 libraries lapack not found in ['/opt/venv/lib', '/usr/local/lib', '/usr/lib']
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 /tmp/pip-install-m9ffqtsd/numpy_f52b823899c842e29073892fb891d2ea/numpy/distutils/system_info.py:1748: UserWarning:
#9 50.08 Lapack (http://www.netlib.org/lapack/) libraries not found.
#9 50.08 Directories to search for the libraries can be specified in the
#9 50.08 numpy/distutils/site.cfg file (section [lapack]) or by setting
#9 50.08 the LAPACK environment variable.
#9 50.08 return getattr(self, '_calc_info_{}'.format(name))()
#9 50.08 lapack_src_info:
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 /tmp/pip-install-m9ffqtsd/numpy_f52b823899c842e29073892fb891d2ea/numpy/distutils/system_info.py:1748: UserWarning:
#9 50.08 Lapack (http://www.netlib.org/lapack/) sources not found.
#9 50.08 Directories to search for the sources can be specified in the
#9 50.08 numpy/distutils/site.cfg file (section [lapack_src]) or by setting
#9 50.08 the LAPACK_SRC environment variable.
#9 50.08 return getattr(self, '_calc_info_{}'.format(name))()
#9 50.08 NOT AVAILABLE
#9 50.08
#9 50.08 numpy_linalg_lapack_lite:
#9 50.08 FOUND:
#9 50.08 language = c
#9 50.08 define_macros = [('HAVE_BLAS_ILP64', None), ('BLAS_SYMBOL_SUFFIX', '64_')]
#9 50.08
#9 50.08 /usr/lib/python3.9/distutils/dist.py:274: UserWarning: Unknown distribution option: 'define_macros'
#9 50.08 warnings.warn(msg)
#9 50.08 running dist_info
#9 50.08 running build_src
#9 50.08 build_src
#9 50.08 building py_modules sources
#9 50.08 creating build
#9 50.08 creating build/src.linux-x86_64-3.9
#9 50.08 creating build/src.linux-x86_64-3.9/numpy
#9 50.08 creating build/src.linux-x86_64-3.9/numpy/distutils
#9 50.08 building library "npymath" sources
#9 50.08 Could not locate executable gfortran
#9 50.08 Could not locate executable f95
#9 50.08 Could not locate executable ifort
#9 50.08 Could not locate executable ifc
#9 50.08 Could not locate executable lf95
#9 50.08 Could not locate executable pgfortran
#9 50.08 Could not locate executable nvfortran
#9 50.08 Could not locate executable f90
#9 50.08 Could not locate executable f77
#9 50.08 Could not locate executable fort
#9 50.08 Could not locate executable efort
#9 50.08 Could not locate executable efc
#9 50.08 Could not locate executable g77
#9 50.08 Could not locate executable g95
#9 50.08 Could not locate executable pathf95
#9 50.08 Could not locate executable nagfor
#9 50.08 don't know how to compile Fortran code on platform 'posix'
#9 50.08 Traceback (most recent call last):
#9 50.08 File "/tmp/tmpqq2gyha2_in_process.py", line 363, in <module>
#9 50.08 main()
#9 50.08 File "/tmp/tmpqq2gyha2_in_process.py", line 345, in main
#9 50.08 json_out['return_val'] = hook(**hook_input['kwargs'])
#9 50.08 File "/tmp/tmpqq2gyha2_in_process.py", line 164, in prepare_metadata_for_build_wheel
#9 50.08 return hook(metadata_directory, config_settings)
#9 50.08 File "/tmp/pip-build-env-6370icr8/overlay/lib/python3.9/site-packages/setuptools/build_meta.py", line 157, in prepare_metadata_for_build_wheel
#9 50.08 self.run_setup()
#9 50.08 File "/tmp/pip-build-env-6370icr8/overlay/lib/python3.9/site-packages/setuptools/build_meta.py", line 248, in run_setup
#9 50.08 super(_BuildMetaLegacyBackend,
#9 50.08 File "/tmp/pip-build-env-6370icr8/overlay/lib/python3.9/site-packages/setuptools/build_meta.py", line 142, in run_setup
#9 50.08 exec(compile(code, __file__, 'exec'), locals())
#9 50.08 File "setup.py", line 508, in <module>
#9 50.08 setup_package()
#9 50.08 File "setup.py", line 500, in setup_package
#9 50.08 setup(**metadata)
#9 50.08 File "/tmp/pip-install-m9ffqtsd/numpy_f52b823899c842e29073892fb891d2ea/numpy/distutils/core.py", line 169, in setup
#9 50.08 return old_setup(**new_attr)
#9 50.08 File "/tmp/pip-build-env-6370icr8/overlay/lib/python3.9/site-packages/setuptools/__init__.py", line 165, in setup
#9 50.08 return distutils.core.setup(**attrs)
#9 50.08 File "/usr/lib/python3.9/distutils/core.py", line 148, in setup
#9 50.08 dist.run_commands()
#9 50.08 File "/usr/lib/python3.9/distutils/dist.py", line 966, in run_commands
#9 50.08 self.run_command(cmd)
#9 50.08 File "/usr/lib/python3.9/distutils/dist.py", line 985, in run_command
#9 50.08 cmd_obj.run()
#9 50.08 File "/tmp/pip-build-env-6370icr8/overlay/lib/python3.9/site-packages/setuptools/command/dist_info.py", line 31, in run
#9 50.08 egg_info.run()
#9 50.08 File "/tmp/pip-install-m9ffqtsd/numpy_f52b823899c842e29073892fb891d2ea/numpy/distutils/command/egg_info.py", line 24, in run
#9 50.08 self.run_command("build_src")
#9 50.08 File "/usr/lib/python3.9/distutils/cmd.py", line 313, in run_command
#9 50.08 self.distribution.run_command(command)
#9 50.08 File "/usr/lib/python3.9/distutils/dist.py", line 985, in run_command
#9 50.08 cmd_obj.run()
#9 50.08 File "/tmp/pip-install-m9ffqtsd/numpy_f52b823899c842e29073892fb891d2ea/numpy/distutils/command/build_src.py", line 144, in run
#9 50.08 self.build_sources()
#9 50.08 File "/tmp/pip-install-m9ffqtsd/numpy_f52b823899c842e29073892fb891d2ea/numpy/distutils/command/build_src.py", line 155, in build_sources
#9 50.08 self.build_library_sources(*libname_info)
#9 50.08 File "/tmp/pip-install-m9ffqtsd/numpy_f52b823899c842e29073892fb891d2ea/numpy/distutils/command/build_src.py", line 288, in build_library_sources
#9 50.08 sources = self.generate_sources(sources, (lib_name, build_info))
#9 50.08 File "/tmp/pip-install-m9ffqtsd/numpy_f52b823899c842e29073892fb891d2ea/numpy/distutils/command/build_src.py", line 378, in generate_sources
#9 50.08 source = func(extension, build_dir)
#9 50.08 File "numpy/core/setup.py", line 663, in get_mathlib_info
#9 50.08 raise RuntimeError("Broken toolchain: cannot link a simple C program")
#9 50.08 RuntimeError: Broken toolchain: cannot link a simple C program
#9 50.08 [end of output]
#9 50.08
#9 50.08 note: This error originates from a subprocess, and is likely not a problem with pip.
#9 50.08 error: metadata-generation-failed
#9 50.08
#9 50.08 × Encountered error while generating package metadata.
#9 50.08 ╰─> See above for output.
#9 50.08
#9 50.08 note: This is an issue with the package mentioned above, not pip.
#9 50.08 hint: See above for details.
#9 50.08 [end of output]
#9 50.08
#9 50.08 note: This error originates from a subprocess, and is likely not a problem with pip.
#9 50.09 error: subprocess-exited-with-error
#9 50.09
#9 50.09 × pip subprocess to install build dependencies did not run successfully.
#9 50.09 │ exit code: 1
#9 50.09 ╰─> See above for output.
#9 50.09
#9 50.09 note: This error originates from a subprocess, and is likely not a problem with pip.
------
executor failed running [/bin/sh -c /opt/venv/bin/python3 -m pip install --upgrade pip && pip install -r requirements.txt]: exit code: 1
我查看了这里列出的几个答案，这些答案似乎与我得到的答案非常相似，但是这个讨论似乎相当陈旧和过时。我从那里尝试的解决方案都不起作用。
看起来BLAS和其他几个项目没有正确安装在Alpine映像上。我尝试了很多不同的方法来做到这一点，但到目前为止都没有效果。如何在这个Alpine Docker映像上安装pandas ?
更新我愿意使用基于Debian或ubuntu的Docker镜像，只要它预装了LibreOffice。到目前为止，我在网上找到的唯一一张预装LibreOffice的图片是一张阿尔卑斯山脉的图片……
我认为你可以使用openjdk，但我不确定。
对于pandas，它缺少BLAS C库，只能通过apk安装。您可以通过运行apk add openblas轻松地做到这一点，但您可能还需要openblas-dev包。