Develop Reference

Implementing Poetry inside Docker Container

I currently Have a Docker container I would like to start using poetry inside it.
I have looked at several documentations and examples but unsure if this would be the correct case for me. Poetry and its dependencies are already installed within the project.
The previous dockerfiles is
FROM python:3.9 as base
ENV PYTHONUNBUFFERED 1
RUN apt-get update \
&& apt-get install -y --no-install-recommends \
binutils libproj-dev gdal-bin \
netcat postgresql-client sudo curl \
&& apt-get clean -y \
&& mkdir /code
ADD requirements.txt /code/requirements.txt
RUN pip install -r /code/requirements.txt
FROM base
ADD requirements.txt /code/requirements.txt
RUN pip install -r /code/requirements.txt
COPY . /code
WORKDIR /code
ENTRYPOINT ["./docker-entrypoint.sh"]
I have added..
FROM python:3.9 as base
ENV PYTHONUNBUFFERED 1
WORKDIR /code
From base as builder
ENV PIP_NO_CACHE_DIR=off \
PIP_DISABLE_PIP_VERSION_CHECK=on \
PIP_DEFAULT_TIMEOUT=100 \
POETRY_VERSION=1.0.0 \
RUN apt-get update \
&& apt-get install -y --no-install-recommends \
binutils libproj-dev gdal-bin \
netcat postgresql-client sudo curl \
&& apt-get clean -y \
&& mkdir /code
ADD requirements.txt /code/requirements.txt
RUN pip install -r /code/requirements.txt
RUN curl -sSL https://install.python-poetry.org | python3 - --version $POETRY_VERSION
RUN python -m venv /venv
COPY poetry.lock pyproject.toml /code/
COPY . /code
FROM base as final
ADD requirements.txt /code/requirements.txt
RUN pip install -r /code/requirements.txt
COPY . /code
WORKDIR /code
ENTRYPOINT ["./docker-entrypoint.sh"]
Is this the correct way of implementing poetry inside docker containers? How would I test this out?

Three main things are important while it's poetry,
RUN pip3 install -U pip poetry
RUN poetry config virtualenvs.create false
RUN poetry install --no-interaction --no-ansi
Install the poetry
Set not to create a virtualenv
Install the packages.
How you can test.
You can just build the Dockerfile to create an image.
So, docker build -t tag_name_your_project .

Django server does not start, the site does not work when starting dockerfile

I'm training in the dockerfile assembly, I can't understand why it doesn't work.
Python django project GitHub:
[https://github.com/BrianRuizy/covid19-dashboard][1]
At the moment I have such a dockerfile, who knows how to create docker files, help me figure it out and tell me what my mistake is.
FROM python:3.8-slim
RUN apt-get update && \
apt-get install -y --no-install-recommends build-essential
ENV PYTHONUNBUFFERED=1
ADD requirements.txt /
RUN pip install -r /requirements.txt
EXPOSE 8000
CMD ["python", "manage.py", "runserver", "127.0.0.1:8000"]

You never coppied your files to the container an example would look like something like this. This also prevents as running as superuser
FROM python:3.8-slim
#INSTALL REQUIREMENTS
RUN apt-get update
RUN apt-get -y install default-libmysqlclient-dev gcc wget
# create the app user
RUN useradd -u 1000 -ms /bin/bash app && mkdir /app && chown -R app:app /app
# copy the requirements
COPY --chown=app:app ./requirements.txt /app/requirements.txt
COPY --chown=app:app ./deploy-requirements.txt /app/deploy-requirements.txt
WORKDIR /app
# and install them
RUN pip install -r requirements.txt && pip install -r deploy-requirements.txt
#####
#
# everything below runs as the 'app' user for security reasons
#
#####
USER app
#COPY APP
COPY --chown=app:app . /app
WORKDIR /app
#RUN
ENTRYPOINT gunicorn -u app -g app --bind 0.0.0.0:8000 PROJECT.asgi:application -k uvicorn.workers.UvicornWorker

How to setup selenium for python in docker?

How to setup selenium in docker in an ubuntu environment as I am also using tesseract for OCR and also flask.
How should I make my dockerfile?
This is my dockerfile
FROM ubuntu:18.04
RUN apt-get update \
&& apt-get install tesseract-ocr -y \
python3 \
#python-setuptools \
python3-pip \
&& apt-get clean \
&& apt-get autoremove
ADD . /home/App
WORKDIR /home/App
COPY requirements.txt ./
COPY . .
RUN pip3 install -r requirements.txt
VOLUME ["/data"]
EXPOSE 5001
ENTRYPOINT [ "python3" ]
CMD [ "app.py" ]
Any help is greatly appreciated!

Dockerfile for Python DJango failing on COPY

I have a Dockerfile that fails on build with the error;
COPY failed: stat /var/lib/docker/tmp/docker-builder476469130/requirements.txt: no such file or directory
The error occurs on the COPY line for the requirments.txt file. I use a pretty standard Dockerfile;
FROM python:3.6.7-slim
# Version: 1.4
# Dockerfile to build the coroner container.
# Install Python and Package Libraries
RUN apt-get update && apt-get upgrade -y && apt-get autoremove && apt-get autoclean
RUN apt-get install -y \
libffi-dev \
libssl-dev \
default-libmysqlclient-dev \
libxml2-dev \
libxslt-dev \
libjpeg-dev \
libfreetype6-dev \
zlib1g-dev \
net-tools \
nano
ARG PROJECT=coroner
ARG PROJECT_DIR=/var/www/${PROJECT}
WORKDIR $PROJECT_DIR
ENV PYTHONUNBUFFERED 1
RUN mkdir -p $PROJECT_DIR
COPY requirements.txt $PROJECT_DIR/requirments.txt
RUN pip install --upgrade pip
RUN pip install -r $PROJECT_DIR/requirements.txt
EXPOSE 8888
STOPSIGNAL SIGINT
ENTRYPOINT ["python", "manage.py"]
CMD ["runserver", "0.0.0.0:8888"]
I am bashing my head against this and have been praying at the church of google for a while now. I have checked the context and it seems to be correct. my build command is;
sudo docker build -t coroner:dev .
Docker Version Docker version 19.03.6, build 369ce74a3c
Can somebody put me out of my misery, please?

You've got a typo in 'requirements.txt' in the destination, you've put 'requirments.txt'.
However, because you're simply copying this to where you've specified your WORKDIR, you can just do:
COPY requirements.txt .
The file will then be copied into your CWD.

Docker Flask ModuleNotFoundError: No module named 'flask'

I'm getting the following error when executing
docker-compose up --build
web_1 | Traceback (most recent call last):
web_1 | File "glm-plotter.py", line 4, in <module>
web_1 | from flask import Flask, render_template, request, session
web_1 | ModuleNotFoundError: No module named 'flask'
glm-plotter_web_1 exited with code 1
I tried changing "Flask" to "flask" in the requirements.txt
Dockerfile
FROM continuumio/miniconda3
RUN apt-get update && apt-get install -y python3
RUN apt-get install -y python3-pip
RUN apt-get install -y build-essential
COPY requirements.txt /
RUN pip3 install --trusted-host pypi.python.org -r /requirements.txt
ADD ./glm-plotter /code
WORKDIR /code
RUN ls .
CMD ["python3", "glm-plotter.py"]
docker-compose.yml
version: "3"
services:
web:
volumes:
- ~/.aws:/root/.aws
build: .
ports:
- "5000:5000"
requirements.txt
click==6.6
Flask==0.11.1
itsdangerous==0.24
Jinja2==2.8
MarkupSafe==0.23
numpy==1.11.1
pandas==0.18.1
python-dateutil==2.5.3
pytz==2016.4
six==1.10.0
Werkzeug==0.11.10
glm-plotter.py
from flask import Flask, render_template, request, session
import os, json
import GLMparser
...

I created a Docker and it compiles fine. You might want to adapt it to your personal needs and add the last few lines from your Dockerfile above:
FROM library/python:3.6-stretch
COPY requirements.txt /
RUN pip install -r /requirements.txt
Please note that in the library/python images no explicit version number for python or pip is required since there is only one installed.

If you use miniconda image you have to create a new environment and activate it prior to installing the packages and run the program in your docker file. Something like:
FROM continuumio/miniconda3
RUN apt-get update && apt-get install -y python3
RUN apt-get install -y python3-pip
RUN apt-get install -y build-essential
COPY requirements.txt /
RUN ["conda", "create", "-n", "myenv", "python=3.4"]
RUN /bin/bash -c "source activate myenv && pip install --trusted-host pypi.python.org -r /requirements.txt"
ADD ./glm-plotter /code
WORKDIR /code
RUN ls .
CMD /bin/bash -c "source activate myenv && python glm-plotter.py"