ramascene
RaMa-Scene a web-platform to analyse Environmentally Extended Input-Output data and generate scenarios
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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✓DOI references
Found 2 DOI reference(s) in README -
○Academic publication links
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✓Committers with academic emails
2 of 7 committers (28.6%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (15.0%) to scientific vocabulary
Repository
RaMa-Scene a web-platform to analyse Environmentally Extended Input-Output data and generate scenarios
Basic Info
- Host: GitHub
- Owner: CMLPlatform
- License: other
- Language: SCSS
- Default Branch: master
- Homepage: https://www.ramascene.eu/
- Size: 95.3 MB
Statistics
- Stars: 6
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 1
Metadata Files
README.md
RaMa-Scene
RaMa-Scene is a django 2.0 based web-application that allows for analyzing Environmentally Extended Input-Output (EEIO) tables. EXIOBASE v3.3 is used in this project. Demo version: http://cml.liacs.nl:8080/ramascene/
Developers Guide
http://rama-scene.readthedocs.io/en/latest/
Getting started
Retrieve the raw datasets
EXIOBASE-Rama-Scene (modified version including secondary materials):
http://doi.org/10.5281/zenodo.3533196
Clone the project
git clone https://bitbucket.org/CML-IE/rama-scene.git
Create a virtual environment (python3.5 or higher) and install the app requirements (make sure you have python-dev installed via apt-get)
$ pip3 install -r requirements.txt
Install node.js (node version: 3.10.10 or higher)
$ sudo apt-get update
$ sudo apt-get install nodejs
Note: On debian apt install nodejs-legacy
Install redis (for Django Channels)
$ sudo apt install redis-server
Install rabbitMQ (for Celery)
$ sudo apt-get install -y erlang
$ sudo apt-get install rabbitmq-server
Then enable and start the RabbitMQ service:
$ systemctl enable rabbitmq-server
$ systemctl start rabbitmq-server
Check the status to make sure everything is running:
$ systemctl status rabbitmq-server
Note: Perform all next steps in the virtualenv and in the rootfolder of the project
Set the following environment variables (see sample-dev-env.sh):
export DJANGO_SETTINGS_MODULE=ramasceneMasterProject.config.dev
export DATASETS_VERSION=version downloaded e.g. v3
export DATASETS_DIR=my/path/to/datasets
export OPENBLAS_NUM_THREADS=adjust according to how many cores you want to use
If you are on Linux and using the OpenBlas library for Numpy.
It is advised to set the number of threads Numpy uses. To find which library is used in python:
```
import numpy as np np.config.show() ```
Prepare the database
$ python3 manage.py makemigrations
$ python3 manage.py migrate
Populate the database
$ python3 manage.py populateHierarchies
Prepare static resources
$ npm install
Built React bundle
$ ./node_modules/.bin/webpack --config dev-webpack.config.js
Start Celery
Start the default module to enable handling of analytical calculations:
$ celery -A ramasceneMasterProject worker -l info --concurrency 1 --queue calc_default -n worker1.%h
Start the modelling module to enable handling of modelling calculations:
$ celery -A ramasceneMasterProject worker -l info --concurrency 1 --queue modelling -n worker2.%h
Start the development server
$ python3 manage.py runserver
Access the app via the webrowser: http://127.0.0.1:8000/ramascene/
[Optional] enable debug logging
To enable debug logging, open the ramasceneMasterProject/config/dev.py file. Uncomment the "logging for Django" section.
[Optional] run tests
In case you want to run tests you can perform unit tests in the root folder:
$ python3 manage.py test -v2
For integration tests you need to start the celery workers first (explained above).
You can perform the integration test with the following command:
$ pytest -vs
If the test has succeeded, you�ll need to repopulate the database with the following command:
$ python3 manage.py populateHierarchies
Core dependencies
Owner
- Name: CML-IE-EB
- Login: CMLPlatform
- Kind: organization
- Repositories: 4
- Profile: https://github.com/CMLPlatform
GitHub Events
Total
Last Year
Committers
Last synced: 12 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| SidneyNiccolson | s****n@g****m | 179 |
| Bart Daniels | b****s@v****e | 62 |
| fdonati | f****i@c****l | 30 |
| dierckxk | k****x@v****e | 29 |
| SidneyNiccolson | y****u@e****m | 7 |
| danielsb | 2****1 | 1 |
| bubbels | k****g@c****l | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 11 months ago
All Time
- Total issues: 0
- Total pull requests: 67
- Average time to close issues: N/A
- Average time to close pull requests: about 1 year
- Total issue authors: 0
- Total pull request authors: 2
- Average comments per issue: 0
- Average comments per pull request: 0.99
- Merged pull requests: 1
- Bot issues: 0
- Bot pull requests: 66
Past Year
- Issues: 0
- Pull requests: 0
- Average time to close issues: N/A
- Average time to close pull requests: N/A
- Issue authors: 0
- Pull request authors: 0
- Average comments per issue: 0
- Average comments per pull request: 0
- Merged pull requests: 0
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
Pull Request Authors
- dependabot[bot] (66)
- bdanielsb (1)
Top Labels
Issue Labels
Pull Request Labels
Dependencies
- babel-core ^6.24.1 development
- babel-loader ^7.1.4 development
- babel-preset-es2015 ^6.24.1 development
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