Commit e10f2d13 authored by Romain's avatar Romain Committed by GitHub

Merge branch 'master' into #1077

parents bcf1f532 bfb2be71
......@@ -52,6 +52,16 @@ build-test-all: $(foreach I,$(ALL_IMAGES),arch_patch/$(I) build/$(I) test/$(I) )
check-outdated/%: ## check the outdated conda packages in a stack and produce a report (experimental)
@TEST_IMAGE="$(OWNER)/$(notdir $@)" pytest test/test_outdated.py
cont-clean-all: cont-stop-all cont-rm-all ## clean all containers (stop + rm)
cont-stop-all: ## stop all containers
@echo "Stopping all containers ..."
-docker stop -t0 $(shell docker ps -a -q) 2> /dev/null
cont-rm-all: ## remove all containers
@echo "Removing all containers ..."
-docker rm --force $(shell docker ps -a -q) 2> /dev/null
dev/%: ARGS?=
dev/%: DARGS?=
dev/%: PORT?=8888
......@@ -61,6 +71,20 @@ dev/%: ## run a foreground container for a stack
dev-env: ## install libraries required to build docs and run tests
pip install -r requirements-dev.txt
img-clean: img-rm-dang img-rm ## clean dangling and jupyter images
img-list: ## list jupyter images
@echo "Listing $(OWNER) images ..."
docker images "$(OWNER)/*"
img-rm: ## remove jupyter images
@echo "Removing $(OWNER) images ..."
-docker rmi --force $(shell docker images --quiet "$(OWNER)/*") 2> /dev/null
img-rm-dang: ## remove dangling images (tagged None)
@echo "Removing dangling images ..."
-docker rmi --force $(shell docker images -f "dangling=true" -q) 2> /dev/null
docs: ## build HTML documentation
make -C docs html
......@@ -71,11 +95,17 @@ n-docs-diff: ## number of docs/ files changed since branch from master
n-other-diff: ## number of files outside docs/ changed since branch from master
@git diff --name-only $(DIFF_RANGE) -- ':!docs/' | wc -l | awk '{print $$1}'
pull/%: DARGS?=
pull/%: ## pull a jupyter image
docker pull $(DARGS) $(OWNER)/$(notdir $@)
run/%: DARGS?=
run/%: ## run a bash in interactive mode in a stack
docker run -it --rm $(OWNER)/$(notdir $@) $(SHELL)
docker run -it --rm $(DARGS) $(OWNER)/$(notdir $@) $(SHELL)
run-sudo/%: DARGS?=
run-sudo/%: ## run a bash in interactive mode as root in a stack
docker run -it --rm -u root $(OWNER)/$(notdir $@) $(SHELL)
docker run -it --rm -u root $(DARGS) $(OWNER)/$(notdir $@) $(SHELL)
tx-en: ## rebuild en locale strings and push to master (req: GH_TOKEN)
@git config --global user.email "travis@travis-ci.org"
......
......@@ -27,7 +27,7 @@ RUN conda install --quiet --yes \
'r-ggplot2=3.3*' \
'r-irkernel=1.1*' \
'r-rcurl=1.98*' \
'r-sparklyr=1.1*' \
'r-sparklyr=1.2*' \
&& \
conda clean --all -f -y && \
fix-permissions $CONDA_DIR && \
......
......@@ -4,7 +4,7 @@
# Ubuntu 18.04 (bionic)
# https://hub.docker.com/_/ubuntu/?tab=tags&name=bionic
# OS/ARCH: linux/amd64
ARG ROOT_CONTAINER=ubuntu:bionic-20200311@sha256:e5dd9dbb37df5b731a6688fa49f4003359f6f126958c9c928f937bec69836320
ARG ROOT_CONTAINER=ubuntu:bionic-20200403@sha256:b58746c8a89938b8c9f5b77de3b8cf1fe78210c696ab03a1442e235eea65d84f
ARG BASE_CONTAINER=$ROOT_CONTAINER
FROM $BASE_CONTAINER
......@@ -112,7 +112,7 @@ RUN conda install --quiet --yes 'tini=0.18.0' && \
RUN conda install --quiet --yes \
'notebook=6.0.3' \
'jupyterhub=1.1.0' \
'jupyterlab=2.0.1' && \
'jupyterlab=2.1.1' && \
conda clean --all -f -y && \
npm cache clean --force && \
jupyter notebook --generate-config && \
......
......@@ -23,12 +23,12 @@ RUN apt-get update && \
# install Julia packages in /opt/julia instead of $HOME
ENV JULIA_DEPOT_PATH=/opt/julia
ENV JULIA_PKGDIR=/opt/julia
ENV JULIA_VERSION=1.3.1
ENV JULIA_VERSION=1.4.1
RUN mkdir /opt/julia-${JULIA_VERSION} && \
cd /tmp && \
wget -q https://julialang-s3.julialang.org/bin/linux/x64/`echo ${JULIA_VERSION} | cut -d. -f 1,2`/julia-${JULIA_VERSION}-linux-x86_64.tar.gz && \
echo "faa707c8343780a6fe5eaf13490355e8190acf8e2c189b9e7ecbddb0fa2643ad *julia-${JULIA_VERSION}-linux-x86_64.tar.gz" | sha256sum -c - && \
echo "fd6d8cadaed678174c3caefb92207a3b0e8da9f926af6703fb4d1e4e4f50610a *julia-${JULIA_VERSION}-linux-x86_64.tar.gz" | sha256sum -c - && \
tar xzf julia-${JULIA_VERSION}-linux-x86_64.tar.gz -C /opt/julia-${JULIA_VERSION} --strip-components=1 && \
rm /tmp/julia-${JULIA_VERSION}-linux-x86_64.tar.gz
RUN ln -fs /opt/julia-*/bin/julia /usr/local/bin/julia
......@@ -48,8 +48,8 @@ RUN conda install --quiet --yes \
'r-base=3.6.3' \
'r-caret=6.0*' \
'r-crayon=1.3*' \
'r-devtools=2.2*' \
'r-forecast=8.11*' \
'r-devtools=2.3*' \
'r-forecast=8.12*' \
'r-hexbin=1.28*' \
'r-htmltools=0.4*' \
'r-htmlwidgets=1.5*' \
......
# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
import logging
import pytest
LOGGER = logging.getLogger(__name__)
def test_julia(container):
"""Basic julia test"""
LOGGER.info(f"Test that julia is correctly installed ...")
running_container = container.run(
tty=True, command=["start.sh", "bash", "-c", "sleep infinity"]
)
command = f"julia --version"
cmd = running_container.exec_run(command)
output = cmd.output.decode("utf-8")
assert cmd.exit_code == 0, f"Command {command} failed {output}"
LOGGER.debug(output)
......@@ -16,7 +16,7 @@ def test_nbconvert(container, format):
cont_data_dir = "/home/jovyan/data"
test_file = "notebook1"
output_dir = "/tmp"
LOGGER.info(f"Converting example notebook to {format.upper()} ...")
LOGGER.info(f"Test that an example notebook can be converted to {format.upper()} ...")
command = f"jupyter nbconvert {cont_data_dir}/{test_file}.ipynb --output-dir {output_dir} --to {format}"
c = container.run(
volumes={host_data_dir: {"bind": cont_data_dir, "mode": "ro"}},
......@@ -24,8 +24,8 @@ def test_nbconvert(container, format):
command=["start.sh", "bash", "-c", command],
)
rv = c.wait(timeout=30)
assert rv == 0 or rv["StatusCode"] == 0
assert rv == 0 or rv["StatusCode"] == 0, f"Command {command} failed"
logs = c.logs(stdout=True).decode("utf-8")
LOGGER.debug(logs)
assert f"{output_dir}/{test_file}.{format}" in logs
expected_file = f"{output_dir}/{test_file}.{format}"
assert expected_file in logs, f"Expected file {expected_file} not generated"
......@@ -28,8 +28,8 @@ RUN conda install --quiet --yes \
'r-base=3.6.3' \
'r-caret=6.0*' \
'r-crayon=1.3*' \
'r-devtools=2.2*' \
'r-forecast=8.11*' \
'r-devtools=2.3*' \
'r-forecast=8.12*' \
'r-hexbin=1.28*' \
'r-htmltools=0.4*' \
'r-htmlwidgets=1.5*' \
......
......@@ -16,19 +16,20 @@ USER $NB_UID
# Install Python 3 packages
RUN conda install --quiet --yes \
'beautifulsoup4=4.8.*' \
'beautifulsoup4=4.9.*' \
'conda-forge::blas=*=openblas' \
'bokeh=2.0.*' \
'bottleneck=1.3.*' \
'cloudpickle=1.3.*' \
'cloudpickle=1.4.*' \
'cython=0.29.*' \
'dask=2.14.*' \
'dask=2.15.*' \
'dill=0.3.*' \
'h5py=2.10.*' \
'hdf5=1.10.*' \
'ipywidgets=7.5.*' \
'ipympl=0.5.*'\
'matplotlib-base=3.2.*' \
# numba update to 0.49 fails resolving deps.
'numba=0.48.*' \
'numexpr=2.7.*' \
'pandas=1.0.*' \
......@@ -44,7 +45,7 @@ RUN conda install --quiet --yes \
'sympy=1.5.*' \
'vincent=0.4.*' \
'widgetsnbextension=3.5.*'\
'xlrd' \
'xlrd=1.2.*' \
&& \
conda clean --all -f -y && \
# Activate ipywidgets extension in the environment that runs the notebook server
......
# Matplotlit: Create a simple plot example.
# Refs: https://matplotlib.org/3.1.1/gallery/lines_bars_and_markers/simple_plot.html
# Optional test with [Matplotlib Jupyter Integration](https://github.com/matplotlib/ipympl)
# %matplotlib widget
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
import os
# Data for plotting
t = np.arange(0.0, 2.0, 0.01)
s = 1 + np.sin(2 * np.pi * t)
fig, ax = plt.subplots()
ax.plot(t, s)
ax.set(xlabel='time (s)', ylabel='voltage (mV)',
title='About as simple as it gets, folks')
ax.grid()
# Note that the test can be run headless by checking if an image is produced
file_path = os.path.join("/tmp", "test.png")
fig.savefig(file_path)
print(f"File {file_path} saved")
\ No newline at end of file
# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
import logging
import pytest
import os
LOGGER = logging.getLogger(__name__)
def test_matplotlib(container):
"""Test that matplotlib is able to plot a graph and write it as an image"""
host_data_dir = os.path.join(os.path.dirname(os.path.realpath(__file__)), "data")
cont_data_dir = "/home/jovyan/data"
test_file = "matplotlib_1.py"
output_dir = "/tmp"
LOGGER.info(f"Test that matplotlib is able to plot a graph and write it as an image ...")
command = "sleep infinity"
running_container = container.run(
volumes={host_data_dir: {"bind": cont_data_dir, "mode": "ro"}},
tty=True,
command=["start.sh", "bash", "-c", command],
)
command = f"python {cont_data_dir}/{test_file}"
cmd = running_container.exec_run(command)
assert cmd.exit_code == 0, f"Command {command} failed"
LOGGER.debug(cmd.output.decode("utf-8"))
# Checking if the file is generated
# https://stackoverflow.com/a/15895594/4413446
expected_file = f"{output_dir}/test.png"
command = f"test -s {expected_file}"
cmd = running_container.exec_run(command)
assert cmd.exit_code == 0, f"Command {command} failed"
LOGGER.debug(cmd.output.decode("utf-8"))
......@@ -21,6 +21,6 @@ def test_pandas(container, name, command):
LOGGER.info(f"Testing pandas: {name} ...")
c = container.run(tty=True, command=["start.sh", "python", "-c", command])
rv = c.wait(timeout=30)
assert rv == 0 or rv["StatusCode"] == 0
assert rv == 0 or rv["StatusCode"] == 0, f"Command {command} failed"
logs = c.logs(stdout=True).decode("utf-8")
LOGGER.debug(logs)
......@@ -25,6 +25,6 @@ def test_tensorflow(container, name, command):
LOGGER.info(f"Testing tensorflow: {name} ...")
c = container.run(tty=True, command=["start.sh", "python", "-c", command])
rv = c.wait(timeout=30)
assert rv == 0 or rv["StatusCode"] == 0
assert rv == 0 or rv["StatusCode"] == 0, f"Command {command} failed"
logs = c.logs(stdout=True).decode("utf-8")
LOGGER.debug(logs)
# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
def test_secured_server(container, http_client):
"""Notebook server should eventually request user login."""
container.run()
resp = http_client.get('http://localhost:8888')
resp = http_client.get("http://localhost:8888")
resp.raise_for_status()
assert 'login_submit' in resp.text
assert "login_submit" in resp.text, "User login not requested"
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