└── docker
    ├── environment.yml
    └── Dockerfile


/docker/environment.yml:
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 1 | channels:
 2 |   - defaults
 3 |   - conda-forge
 4 | dependencies:
 5 |   - python=3.7
 6 |   - coincbc=2.10.5
 7 |   - glpk=4.65
 8 |   - pulp=2.3.1
 9 |   - matplotlib=3.3.3
10 | 


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/docker/Dockerfile:
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 1 | FROM continuumio/miniconda3:4.8.2
 2 | 
 3 | # see https://towardsdatascience.com/conda-pip-and-docker-ftw-d64fe638dc45
 4 | # Create a non-root user
 5 | RUN adduser --disabled-password --gecos "Default user" --uid 1000 student
 6 | 
 7 | COPY environment.yml /tmp/
 8 | 
 9 | RUN conda env create -f /tmp/environment.yml -n pyschedule-tuto
10 | 
11 | # Make RUN commands use the new environment:
12 | SHELL ["conda", "run", "-n", "pyschedule-tuto", "/bin/bash", "-c"]
13 | 
14 | #
15 | # Install pyschedule personal fork
16 | #
17 | 
18 | WORKDIR /opt/build
19 | RUN git clone https://github.com/tpaviot/pyschedule forkpyschedule
20 | WORKDIR /opt/build/forkpyschedule
21 | RUN git checkout tut-pyschedule
22 | WORKDIR /opt/build/forkpyschedule/src
23 | RUN python setup.py build
24 | RUN python setup.py install
25 | 
26 | VOLUME /home/student/
27 | WORKDIR /home/student
28 | EXPOSE 8888
29 | 
30 | CMD bash -l -c "source /opt/conda/bin/activate pyschedule-tuto && jupyter lab --ip=0.0.0.0 --no-browser --NotebookApp.token='' --NotebookApp.allow_origin='*'"
31 | 


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