I trying to convert a file to pdf using libreoffice, currently the best I achived is:
RUN wget http://download.documentfoundation.org/libreoffice/stable/7.2.5/rpm/x86_64/LibreOffice_7.2.5_Linux_x86-64_rpm.tar.gz
RUN tar -xvzf LibreOffice_7.2.5_Linux_x86-64_rpm.tar.gz
RUN cd LibreOffice_7.2.5.2_Linux_x86-64_rpm/RPMS; yum -y localinstall *.rpm;
RUN yum -y install cairo
RUN echo instalacion completada
RUN /opt/libreoffice7.2/program/soffice.bin --version
Until here, works! Shows the version of libreoffice correctly installed, but when trying to run, it does not work:
RUN /opt/libreoffice7.2/program/soffice.bin --headless --convert-to pdf my_file.xlsm
Returns:
The command '/bin/sh -c /opt/libreoffice7.2/program/soffice.bin
--headless --convert-to pdf my_file.xlsm' returned a non-zero code: 81
My complete Dockerfile
# Pull the base image with python 3.8 as a runtime for your Lambda
FROM public.ecr.aws/lambda/python:3.8
RUN mkdir experimento/
COPY my_file.xlsm .
# Install OS packages for Pillow-SIMD
RUN yum -y install wget tar gzip zlib freetype-devel \
gcc \
ghostscript \
lcms2-devel \
libffi-devel \
libimagequant-devel \
libjpeg-devel \
libraqm-devel \
libtiff-devel \
libwebp-devel \
make \
openjpeg2-devel \
rh-python36 \
rh-python36-python-virtualenv \
sudo \
tcl-devel \
tk-devel \
tkinter \
which \
xorg-x11-server-Xvfb \
zlib-devel \
&& yum clean all
RUN wget http://download.documentfoundation.org/libreoffice/stable/7.2.5/rpm/x86_64/LibreOffice_7.2.5_Linux_x86-64_rpm.tar.gz
RUN tar -xvzf LibreOffice_7.2.5_Linux_x86-64_rpm.tar.gz
RUN cd LibreOffice_7.2.5.2_Linux_x86-64_rpm/RPMS; yum -y localinstall *.rpm;
RUN yum -y install cairo
RUN echo instalacion completada
RUN /opt/libreoffice7.2/program/soffice.bin --version
RUN /opt/libreoffice7.2/program/soffice.bin -h
RUN sudo find / -name soffice.bin
RUN yum install -y libXinerama.x86_64 cups-libs dbus-glib
RUN sudo /opt/libreoffice7.2/program/soffice.bin --headless --invisible --nodefault --nofirststartwizard --nolockcheck --nologo --norestore --convert-to 'pdf:writer_pdf_Export' --outdir experimento/ my_file.xlsm
I found a solution, the problem was .bin at the end of soffice:
# Pull the base image with python 3.8 as a runtime for your Lambda
FROM public.ecr.aws/lambda/python:3.8
COPY my_file.xlsm .
# Install OS packages for Pillow-SIMD
RUN yum -y install curl wget tar gzip zlib freetype-devel \
libxslt \
libxslt1-dev \
gcc \
ghostscript \
lcms2-devel \
libffi-devel \
libimagequant-devel \
libjpeg-devel \
libraqm-devel \
libtiff-devel \
libwebp-devel \
make \
openjpeg2-devel \
rh-python36 \
rh-python36-python-virtualenv \
sudo \
tcl-devel \
tk-devel \
tkinter \
which \
xorg-x11-server-Xvfb \
zlib-devel \
java \
&& yum clean all
RUN wget http://download.documentfoundation.org/libreoffice/stable/7.2.5/rpm/x86_64/LibreOffice_7.2.5_Linux_x86-64_rpm.tar.gz
RUN tar -xvzf LibreOffice_7.2.5_Linux_x86-64_rpm.tar.gz
RUN cd LibreOffice_7.2.5.2_Linux_x86-64_rpm/RPMS; yum -y localinstall *.rpm;
RUN yum -y install cairo
RUN /opt/libreoffice7.2/program/soffice.bin --version
COPY carta_2020.xlsm /tmp/
RUN ls /tmp/
RUN /opt/libreoffice7.2/program/soffice --headless --convert-to pdf --outdir /tmp my_file.xlsm
Related
trying to build my first dockerfile for vision transformer on ubuntu 20.04. ran into
2022-11-04 09:08:49.205922: W external/org_tensorflow/tensorflow/compiler/xla/stream_executor/platform/default/dso_loader.cc:64]
Could not load dynamic library 'libcudart.so.11.0'; dlerror:
libcudart.so.11.0: cannot open shared object file: No such file or
directory; LD_LIBRARY_PATH:
/usr/local/nvidia/lib:/usr/local/nvidia/lib64
it stopped at git clone (since this is the last step appeared in the terminal before the error):
Step 7/11 : RUN git clone
https://github.com/google-research/vision_transformer.git &&cd
vision_transformer && pip3 install pip --upgrade && pip
install -r vit_jax/requirements.txt &&python -m vit_jax.main
--workdir=/tmp/vit-$(date +%s) --config=$(pwd)/vit_jax/configs/vit.py:b16,cifar10 --config.pretrained_dir='gs://vit_models/imagenet21k' && pip cache purge
below is my dockerfile:
FROM pytorch/pytorch:1.8.1-cuda10.2-cudnn7-runtime
ENV DEBIAN_FRONTEND=noninteractive
ARG USERNAME=user
WORKDIR /dockertest
ARG WORKDIR=/dockertest
RUN apt-get update && apt-get install -y \
automake autoconf libpng-dev nano python3-pip \
sudo curl zip unzip libtool swig zlib1g-dev pkg-config \
python3-mock libpython3-dev libpython3-all-dev \
g++ gcc cmake make pciutils cpio gosu wget \
libgtk-3-dev libxtst-dev sudo apt-transport-https \
build-essential gnupg git xz-utils vim libgtk2.0-0 libcanberra-gtk-module\
# libva-drm2 libva-x11-2 vainfo libva-wayland2 libva-glx2 \
libva-dev libdrm-dev xorg xorg-dev protobuf-compiler \
openbox libx11-dev libgl1-mesa-glx libgl1-mesa-dev \
libtbb2 libtbb-dev libopenblas-dev libopenmpi-dev \
&& sed -i 's/# set linenumbers/set linenumbers/g' /etc/nanorc \
&& apt clean \
&& rm -rf /var/lib/apt/lists/*
RUN git clone https://github.com/google-research/vision_transformer.git \
&&cd vision_transformer \
&& pip3 install pip --upgrade \
&& pip install -r vit_jax/requirements.txt \
&&python -m vit_jax.main --workdir=/tmp/vit-$(date +%s) \
--config=$(pwd)/vit_jax/configs/vit.py:b16,cifar10 \
--config.pretrained_dir='gs://vit_models/imagenet21k' \
&& pip cache purge
RUN echo "root:root" | chpasswd \
&& adduser --disabled-password --gecos "" "${USERNAME}" \
&& echo "${USERNAME}:${USERNAME}" | chpasswd \
&& echo "%${USERNAME} ALL=(ALL) NOPASSWD: ALL" >> /etc/sudoers.d/${USERNAME} \
&& chmod 0440 /etc/sudoers.d/${USERNAME}
USER ${USERNAME}
RUN sudo chown -R ${USERNAME}:${USERNAME} ${WORKDIR}
WORKDIR ${WORKDIR}
I'm receiving the error in the title and I'm not sure why. I'm trying to run a docker container in Unraid. The dockerfile code is down below if anyone would like to critique.
ENV DEBIAN_FRONTEND=noninteractive \
LANG=en_US.UTF-8 \
LANGUAGE=en_US.UTF-8 \
LC_ALL=en_US.UTF-8 \
TERM=xterm \
TZ=:/etc/localtime \
PATH=$PATH:/usr/local/go/bin \
GOBIN=/go/bin \
APP=/go/src/smugmug-backup
RUN sed -e "/deb-src/d" -i /etc/apt/sources.list \
&& apt-get update \
&& apt-get install --no-install-recommends --yes \
ca-certificates \
&& apt-get clean \
&& rm -rf /.root/cache \
&& rm -rf /var/lib/apt/lists/*
$ sudo apt install locales
$ sudo locale-gen en_US.UTF-8
$ sudo dpkg-reconfigure locales
In the last step you, would see a text based UI, select en_US.UTF-8 by moving using up and down arrow and selecting via spacebar or typing its id, which is 159.
TensorFlow 1.11 fails to build with CUDA 8. I tried opening an issue on github (Issue opened on Github #23256 [https://github.com/tensorflow/tensorflow/issues/23256]) but the tensorflow team's response is to just upgrade CUDA to 9 or downgrade Tensorflow to 1.10, which isn't an option for me. Trying to find a way to get TF1.11 to work with CUDA 8.
Attempting to build a docker container with TF 1.11 and CUDA 8 on an GeForce 1060 3GB GPU. An error keeps occurring in the build. Github Issue 22729 (#22729) was looked at but the work around didn't work for TF 1.11 and that's what is needed. The docker file is also below. Any help you can provide would be greatly appreciated.
System information
OS Platform and Distribution (e.g., Linux Ubuntu 16.04): Linux Ubuntu 16.04
TensorFlow installed from (source or binary): Source
TensorFlow version: TF 1.11
Python version: 2.7
Installed using virtualenv? pip? conda?: Docker
Bazel version (if compiling from source): 0.15.0
GCC/Compiler version (if compiling from source): 7.3.0
CUDA/cuDNN version: 8.0/7
GPU model and memory: GeForce GTX 1060 3GB
Provide the exact sequence of commands / steps that you executed before running into the problem
sudo docker build --no-cache . -f Dockerfile.tf-1.11-py27-gpu.txt -t tf-1.11-py27-gpu
Thank you,
Kyle
Dockerfile.tf-1.11-py27-gpu
FROM nvidia/cuda:8.0-cudnn7-devel-ubuntu16.04
LABEL maintainer="Craig Citro <craigcitro#google.com>; Modified for Cuda 8 by Jack Harris"
RUN apt-get update && apt-get install -y --allow-downgrades --allow-change-held-packages --no-install-recommends \
build-essential \
cuda-command-line-tools-8-0 \
cuda-cublas-dev-8-0 \
cuda-cudart-dev-8-0 \
cuda-cufft-dev-8-0 \
cuda-curand-dev-8-0 \
cuda-cusolver-dev-8-0 \
cuda-cusparse-dev-8-0 \
curl \
git \
libcudnn7=7.2.1.38-1+cuda8.0 \
libcudnn7-dev=7.2.1.38-1+cuda8.0 \
libnccl2=2.2.13-1+cuda8.0 \
libnccl-dev=2.2.13-1+cuda8.0 \
libcurl3-dev \
libfreetype6-dev \
libhdf5-serial-dev \
libpng12-dev \
libzmq3-dev \
pkg-config \
python-dev \
rsync \
software-properties-common \
unzip \
zip \
zlib1g-dev \
wget \
&& \
rm -rf /var/lib/apt/lists/* && \
find /usr/local/cuda-8.0/lib64/ -type f -name 'lib*_static.a' -not -name 'libcudart_static.a' -delete && \
rm -f /usr/lib/x86_64-linux-gnu/libcudnn_static_v7.a
RUN apt-get update && \
apt-get install nvinfer-runtime-trt-repo-ubuntu1604-4.0.1-ga-cuda8.0 && \
apt-get update && \
apt-get install libnvinfer4=4.1.2-1+cuda8.0 && \
apt-get install libnvinfer-dev=4.1.2-1+cuda8.0
# Link NCCL libray and header where the build script expects them.
RUN mkdir /usr/local/cuda-8.0/lib && \
ln -s /usr/lib/x86_64-linux-gnu/libnccl.so.2 /usr/local/cuda/lib/libnccl.so.2 && \
ln -s /usr/include/nccl.h /usr/local/cuda/include/nccl.h
# TODO(tobyboyd): Remove after license is excluded from BUILD file.
#RUN gunzip /usr/share/doc/libnccl2/NCCL-SLA.txt.gz && \
# cp /usr/share/doc/libnccl2/NCCL-SLA.txt /usr/local/cuda/
# Add External Mount Points
RUN mkdir -p /external_lib
RUN mkdir -p /external_bin
RUN curl -fSsL -O https://bootstrap.pypa.io/get-pip.py && \
python get-pip.py && \
rm get-pip.py
RUN pip --no-cache-dir install \
ipykernel \
jupyter \
keras_applications==1.0.5 \
keras_preprocessing==1.0.3 \
matplotlib \
numpy \
pandas \
scipy \
sklearn \
mock \
&& \
python -m ipykernel.kernelspec
# Set up our notebook config.
#COPY jupyter_notebook_config.py /root/.jupyter/
# Jupyter has issues with being run directly:
# https://github.com/ipython/ipython/issues/7062
# We just add a little wrapper script.
# COPY run_jupyter.sh /
# Set up Bazel.
# Running bazel inside a `docker build` command causes trouble, cf:
# https://github.com/bazelbuild/bazel/issues/134
# The easiest solution is to set up a bazelrc file forcing --batch.
RUN echo "startup --batch" >>/etc/bazel.bazelrc
# Similarly, we need to workaround sandboxing issues:
# https://github.com/bazelbuild/bazel/issues/418
RUN echo "build --spawn_strategy=standalone --genrule_strategy=standalone" \
>>/etc/bazel.bazelrc
# Install the most recent bazel release.
ENV BAZEL_VERSION 0.15.0
WORKDIR /
RUN mkdir /bazel && \
cd /bazel && \
curl -H "User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36" -fSsL -O https://github.com/bazelbuild/bazel/releases/download/$BAZEL_VERSION/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
curl -H "User-Agent: Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/57.0.2987.133 Safari/537.36" -fSsL -o /bazel/LICENSE.txt https://raw.githubusercontent.com/bazelbuild/bazel/master/LICENSE && \
chmod +x bazel-*.sh && \
./bazel-$BAZEL_VERSION-installer-linux-x86_64.sh && \
cd / && \
rm -f /bazel/bazel-$BAZEL_VERSION-installer-linux-x86_64.sh
# Download and build TensorFlow.
RUN git clone http://github.com/tensorflow/tensorflow --branch r1.11 --depth=1
WORKDIR /tensorflow
RUN sed -i 's/^#if TF_HAS_.*$/#if !defined(__NVCC__)/g' tensorflow/core/platform/macros.h
ENV TF_NCCL_VERSION=2
#RUN /bin/echo -e "/usr/bin/python\n\nn\nn\nn\nn\nn\nn\nn\nn\nn\ny\n8.0\n/usr/local/cuda\n7.0\n/usr/local/cuda\n\n\n\nn\n\nn\n-march=native\nn\n" | ./configure
RUN /bin/echo -e "/usr/bin/python\n\nn\nn\nn\nn\nn\nn\nn\nn\nn\nn\ny\n8.0\n/usr/local/cuda\n7.0\n/usr/local/cuda\nn\n\n\n\n\n\nn\n\nn\n-march=native\nn\n" | ./configure
#RUN /bin/echo -e "\n\nn\nn\nn\nn\nn\n\n\n\n\n\n\n\n\n\n\n\n-march=native\nn\n" | ./configure
# Configure the build for our CUDA configuration.
ENV CI_BUILD_PYTHON python
ENV PATH /external_bin:$PATH
ENV LD_LIBRARY_PATH /external_lib:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH
ENV TF_NEED_CUDA 1
ENV TF_NEED_TENSORRT 1
ENV TF_CUDA_COMPUTE_CAPABILITIES=3.0,3.5,5.2,6.0,6.1
ENV TF_CUDA_VERSION=8.0
ENV TF_CUDNN_VERSION=7
# https://github.com/tensorflow/tensorflow/issues/17801
RUN ln -s /usr/local/cuda/lib64/stubs/libcuda.so /usr/local/cuda/lib64/stubs/libcuda.so.1 && \
ln -s /usr/local/cuda/nvvm/libdevice/libdevice.compute_50.10.bc /usr/local/cuda/nvvm/libdevice/libdevice.10.bc && \
LD_LIBRARY_PATH=/usr/local/cuda/lib64/stubs:${LD_LIBRARY_PATH} \
tensorflow/tools/ci_build/builds/configured GPU \
bazel build -c opt --copt=-mavx --config=cuda \
--cxxopt="-D_GLIBCXX_USE_CXX11_ABI=0" \
tensorflow/tools/pip_package/build_pip_package && \
rm /usr/local/cuda/lib64/stubs/libcuda.so.1
RUN bazel-bin/tensorflow/tools/pip_package/build_pip_package /tmp/pip
RUN pip --no-cache-dir install --upgrade /tmp/pip/tensorflow-*.whl && \
rm -rf /tmp/pip && \
rm -rf /root/.cache
# Clean up pip wheel and Bazel cache when done.
WORKDIR /root
# TensorBoard
EXPOSE 6006
# IPython
EXPOSE 8888
CMD [ "/bin/bash" ]
tf11cuda8.log - Log attached to github issue (too long to post here)
I am trying to build the following Radare2 dockerfile, but I think I may have some formatting wrong. I can't seem to figure out how to make everything install correctly and build. Any help would be appreciated.
FROM radare/radare2
USER root
RUN apt-get update && \
apt-get install -y \
build-essential \
nasm \
gdb \
python \
python-pip \
python-dev \
vim \
git \
libffi-dev \
libssl-dev \
libc6-i386 \
lsb-core \
pip install --upgrade pip \
pip install --upgrade pwntools \
libc6-dev-i386
USER r2
RUN git clone https://github.com/longld/peda.git ~/peda && \
echo "source ~/peda/peda.py" >> ~/.gdbinit
RUN \
"/bin/bash"
I get the following error when I try to build this dockerfile:
E: Unable to locate package pip
E: Unable to locate package install
E: Unable to locate package pip
E: Unable to locate package pip
E: Unable to locate package install
E: Unable to locate package pwntools
The pip install lines are new commands to use RUN keyword, not part of apt-get, so you need to remove the previous backlash and add RUN before the lines. Try this:
FROM radare/radare2
USER root
RUN apt-get update && \
apt-get install -y \
build-essential \
nasm \
gdb \
python \
python-pip \
python-dev \
vim \
git \
libffi-dev \
libssl-dev \
libc6-i386 \
libc6-dev-i386 \
lsb-core
RUN pip install --upgrade pip
RUN pip install --upgrade pwntools
USER r2
RUN git clone https://github.com/longld/peda.git ~/peda && \
echo "source ~/peda/peda.py" >> ~/.gdbinit
RUN "/bin/bash"
or better in a single RUN instruction:
RUN apt-get update && \
apt-get install -y \
build-essential \
(...)
lsb-core \
&& pip install --upgrade pip \
&& pip install --upgrade pwntools
In my project, I have a dockerized microservice based off of ubuntu:trusty which I wanted to update to python 2.7.13 from the standard apt-get 2.7.6 version. In doing so, I ran into some module import issues. Since then, I've added to the beginning of my pythonpath python2.7/dist-packages, which contains all of the modules I'm concerned with.
I built my microservice images using docker-compose build, but here's the issue: When I run docker-compose up, this microservice fails on importing all non-standard modules, yet when I create my own container from the same image using docker run -it image_id /bin/bash and then subsequently run a python shell and import any of the said modules, everything works perfectly. Even when I run the same python script, it gets past all of these import statements (but fails for other issues due to being run in isolation without proper linking).
I've asserted that python 2.7.13 is running on both docker-compose up and when I run my own container. I've cleared all of my containers, images, and cache and have rebuilt with no progress. The command being run at the end of the docker file is CMD python /filename/file.py.
Any ideas what could cause such a discrepancy?
EDIT:
As requested, here's the Dockerfile. The file structure is simply a project folder with subfolders, each being their own dockerized microservice. The one of concern here is called document_analyzer and following is the relevant section of the docker-compose file. Examples of the files that aren't properly installing are PyPDF2, pymongo, boto3.
FROM ubuntu:trusty
# Built using PyImageSearch guide:
# http://www.pyimagesearch.com/2015/06/22/install-opencv-3-0-and-python-2-7-on-ubuntu/
# Install dependencies
RUN \
apt-get -qq update && apt-get -qq upgrade -y && \
apt-get -qq install -y \
wget \
unzip \
libtbb2 \
libtbb-dev && \
apt-get -qq install -y \
build-essential \
cmake \
git \
pkg-config \
libjpeg8-dev \
libtiff4-dev \
libjasper-dev \
libpng12-dev \
libgtk2.0-dev \
libavcodec-dev \
libavformat-dev \
libswscale-dev \
libv4l-dev \
libatlas-base-dev \
gfortran \
libhdf5-dev \
libreadline-gplv2-dev \
libncursesw5-dev \
libssl-dev \
libsqlite3-dev \
tk-dev \
libgdbm-dev \
libc6-dev \
libbz2-dev \
libxml2-dev \
libxslt-dev && \
wget https://www.python.org/ftp/python/2.7.13/Python-2.7.13.tgz && \
tar -xvf Python-2.7.13.tgz && \
cd Python-2.7.13 && \
./configure && \
make && \
make install && \
apt-get install -y python-dev python-setuptools && \
easy_install pip && \
pip install numpy==1.12.0 && \
apt-get autoclean && apt-get clean && \
rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
# Download OpenCV 3.2.0 and install
# step 10
RUN \
cd ~ && \
wget https://github.com/Itseez/opencv/archive/3.2.0.zip && \
unzip 3.2.0.zip && \
mv ~/opencv-3.2.0/ ~/opencv/ && \
rm -rf ~/3.2.0.zip && \
cd ~ && \
wget https://github.com/opencv/opencv_contrib/archive/3.2.0.zip -O 3.2.0-contrib.zip && \
unzip 3.2.0-contrib.zip && \
mv opencv_contrib-3.2.0 opencv_contrib && \
rm -rf ~/3.2.0-contrib.zip && \
cd /root/opencv && \
mkdir build && \
cd build && \
cmake -D CMAKE_BUILD_TYPE=RELEASE \
-D CMAKE_INSTALL_PREFIX=/usr/local \
-D INSTALL_C_EXAMPLES=OFF \
-D INSTALL_PYTHON_EXAMPLES=ON \
-D OPENCV_EXTRA_MODULES_PATH=~/opencv_contrib/modules \
-D BUILD_EXAMPLES=ON .. && \
cd ~/opencv/build && \
make -j $(nproc) && \
make install && \
ldconfig && \
# clean opencv repos
rm -rf ~/opencv/build && \
rm -rf ~/opencv/3rdparty && \
rm -rf ~/opencv/doc && \
rm -rf ~/opencv/include && \
rm -rf ~/opencv/platforms && \
rm -rf ~/opencv/modules && \
rm -rf ~/opencv_contrib/build && \
rm -rf ~/opencv_contrib/doc
RUN mkdir ~/.aws/ && touch ~/.aws/config && touch ~/.aws/credentials && \
echo "[default]" > ~/.aws/credentials && \
echo "AWS_ACCESS_KEY_ID=xxxxxxx" >> ~/.aws/credentials && \
echo "AWS_SECRET_ACCESS_KEY=xxxxxxx" >> ~/.aws/credentials && \
echo "[default]" > ~/.aws/config && \
echo "output = json" >> ~/.aws/config && \
echo "region = us-east-1" >> ~/.aws/config
RUN apt-get update && \
apt-get -y install bcrypt \
libssl-dev \
libffi-dev \
libpq-dev \
vim \
redis-server \
rsyslog \
imagemagick \
libmagickcore-dev \
libmagickwand-dev \
libmagic-dev \
curl
RUN pip install pyopenssl ndg-httpsclient pyasn1
WORKDIR /document_analyzer
# Add requirements and install
COPY . /document_analyzer
RUN pip install -r /document_analyzer/requirements.txt && \
pip install -Iv https://pypi.python.org/packages/f5/1f/2d7579a6d8409a61b6b8e84ed02ca9efae8b51fd6228e24be88588fac255/tika-1.14.1.tar.gz#md5=aa7d77a4215e252f60243d423946de8d && \
pip install awscli
ENV PYTHONPATH="/usr/local/lib/python2.7/dist-packages/:${PYTHONPATH}"
CMD python /document_analyzer/api.py
Docker-compose:
document_analyzer:
environment:
- IP=${IP}
extends:
file: common.yml
service: microservice
build: document_analyzer
ports:
- "5001:5001"
volumes:
- ./document_analyzer:/document_analyzer
- .:/var/lib/
environment:
- PYTHONPATH=$PYTHONPATH:/var/lib
links:
- redis
- rabbit
- ocr_runner
- tika
- document_envelope
- converter
restart: on-failure
You have this work being done during the build phase:
WORKDIR /document_analyzer
# Add requirements and install
COPY . /document_analyzer
RUN pip install -r /document_analyzer/requirements.txt && \
pip install -Iv https://pypi.python.org/packages/f5/1f/2d7579a6d8409a61b6b8e84ed02ca9efae8b51fd6228e24be88588fac255/tika-1.14.1.tar.gz#md5=aa7d77a4215e252f60243d423946de8d && \
pip install awscli
And at runtime you do this in the compose yaml file:
volumes:
- ./document_analyzer:/document_analyzer
That volume mount will override everything you did in /document_analyzer during the build. Only what is in the directory outside the container will now be available at /document_analyzer inside the container. Whatever was at /document_analyzer before, from the build phase, is now hidden by this mount and not available.
The difference when you use docker run is that you did not create this mount.