TODO : context and credits
The quality checker is a Dash based application. Here you can find more information about it https://dash.plotly.com/introduction.
TODO : context For more details here is tool specifications : https://docs.google.com/document/d/1zyayKITTeReZ2u3fev85HJ_2rgs-Ceb18n6CXRlTVfA/edit
TODO
TODO
requirement : python3.8
git clone https://github.com/juliecoust/AQC.git
cd AQC/
python3 -m venv "venvQC"
source venvQC/bin/activate
pip3 install -r requirements.txtcd AQC/
source venvQC/bin/activate
DASH_ENV=DEV python index.pyLocal Url to zooscan QC app : http://127.0.0.1:8050/QC/zooscan Local Url to zooscan QC doc : http://127.0.0.1:8050/QC/zooscan/doc
git clone https://github.com/juliecoust/AQC.git
cd AQC/
python3 -m venv venvQC
source venvQC/bin/activate
pip3 install -r requirements.txtcd AQC/
source venvQC/bin/activate
nohup sh -c 'DASH_ENV=PROD python index.py' &Local Url to zooscan QC app : http://complex.imev-mer.fr:8050/QC/zooscan Local Url to zooscan QC doc : http://complex.imev-mer.fr:8050/QC/zooscan/doc
TODO : define classes/architecture and argue about choices for maintenance, reusability and scalability.
- Logs : The logs are saved in the /logs folder. The log files are created automatically and have the name format YYYY-MM.log. If log files become to big we will easily be able to change this to YYYY-MM-DD.log or more by adding an incremental number N : YYYY-MM-DD-N.log
- https://dash.plotly.com/testing UNIT : TODO FEATURES : TODO INTEGRATION : used tutorials : https://python.plainenglish.io/test-your-dash-app-in-python-6eb7229d40b8 https://community.plotly.com/t/how-you-can-integration-test-your-app-by-dash-testing/25002/3 TODO PERF : TODO
When a version is taged by doing :
git tag -a vX.X.X -m "CI balena CUSTOM MESSAGE"
git push --follow-tagsIt triggers a Github action that is going to build and push the docker image on docker hub : https://hub.docker.com/u/ecotaxa