Commit ee4a7f3f authored by Icíar Lloréns Jover's avatar Icíar Lloréns Jover

init renku repository

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notebooks
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# End of https://www.gitignore.io/api/macos,python,R,linux,vim,emacs,visualstudiocode,intellij
# Renku
.renku.lock
.renku/tmp
.renku/cache
# renku: v1.dev20180723
variables:
GIT_STRATEGY: fetch
GIT_SSL_NO_VERIFY: "true"
GIT_LFS_SKIP_SMUDGE: 1
stages:
- build
image_build:
stage: build
image: docker:stable
before_script:
- docker login -u gitlab-ci-token -p $CI_JOB_TOKEN http://$CI_REGISTRY
script:
- CI_COMMIT_SHA_7=$(echo $CI_COMMIT_SHA | cut -c1-7)
- docker build --tag $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA_7 .
- docker push $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA_7
tags:
- image-build
'@context':
created: schema:dateCreated
schema: http://schema.org/
name: schema:name
updated: schema:dateUpdated
version: schema:schemaVersion
'@type': schema:Project
created: 2020-09-23T18:48:30.079Z
name: CBD profit calculator
updated: 2020-09-23T18:48:30.079Z
version: '4'
[renku "interactive"]
default_url = /lab
# WARNING: editing this file will impact the behavior of renku commands
# by telling renku to *not track* listed files with git LFS.
#
# By default, renku commands track all files above the renku configured lfs_threshold
# with git LFS to prevent accidentally checking in large files (default=100kb).
# You can update this threshold by calling 'renku config lfs_threshold <size>kb'.
#
# Use this file to specify particular paths to *not track* with LFS regardless of
# their size. The syntax is the same as .gitignore (https://git-scm.com/docs/gitignore).
# Remember: files listed here, when generated during renku commands, will add to
# the size of your repo, and could slow things down.
#
# See https://github.com/SwissDataScienceCenter/renku-project-template for proper
# usage.
# Warning: modifying the next line will check generated ipynb files (e.g. from papermill) into LFS:
# they will no longer be displayed in the renku UI
*.ipynb
*.py
*.r
*.md
*.rst
FROM renku/renkulab-py:3.7-renku0.10.4-0.6.3
# see https://github.com/SwissDataScienceCenter/renkulab-docker
# to swap this image for the latest version available
# Uncomment and adapt if code is to be included in the image
# COPY src /code/src
# Uncomment and adapt if your R or python packages require extra linux (ubuntu) software
# e.g. the following installs apt-utils and vim; each pkg on its own line, all lines
# except for the last end with backslash '\' to continue the RUN line
#
# USER root
# RUN apt-get update && \
# apt-get install -y --no-install-recommends \
# apt-utils \
# vim
# USER ${NB_USER}
# install the python dependencies
COPY requirements.txt environment.yml /tmp/
RUN conda env update -q -f /tmp/environment.yml && \
/opt/conda/bin/pip install -r /tmp/requirements.txt && \
conda clean -y --all && \
conda env export -n "root"
# CBD profit calculator
## Introduction
This is a Renku project - basically a git repository with some
bells and whistles. You'll find we have already created some
useful things like `data` and `notebooks` directories and
a `Dockerfile`.
## Working with the project
The simplest way to start your project is right from the Renku
platform - just click on the `Environments` tab and start a new session.
This will start an interactive environment right in your browser.
To work with the project anywhere outside the Renku platform,
click the `Settings` tab where you will find the
git repo URLs - use `git` to clone the project on whichever machine you want.
### Changing interactive environment dependencies
Initially we install a very minimal set of packages to keep the images small.
However, you can add python and conda packages in `requirements.txt` and
`environment.yml` to your heart's content. If you need more fine-grained
control over your environment, please see [the documentation](https://renku.readthedocs.io/en/latest/user/advanced_interfaces.html#dockerfile-modifications).
## Project configuration
Project options can be found in `.renku/renku.ini`. In this
project there is currently only one option, which specifies
the default type of environment to open, in this case `/lab` for
JupyterLab. You may also choose `/tree` to get to the "classic" Jupyter
interface.
## Moving forward
Once you feel at home with your project, we recommend that you replace
this README file with your own project documentation! Happy data wrangling!
name: "base"
channels:
- defaults
# dependencies:
# - add packages here
# - one per line
prefix: "/opt/conda"
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