Status: in progress

Motivation

Make the various command line scripts available on local network and later on public web.

Main expected benefits:

platform independent
easy to find
sharable (command line skills not required to use it)

Design ideas

Reproducibility:

each application is inside a docker container
as few dependencies as possible
deployed through git

Easy to create

It is easy to understand what is doing what
As basic html and libraries as possible
The same structure for all of them
The main code on the backend is the same as the command line utility

General design outline

1. README

General info about how to run the application, notes from the development

2. Docker setup

Dockerfile
docker-compose.yml

3. Python environment

requirments.txt

4. app.py

defines the logic
uses the script.py
uses the html templates

5. script.py

identical to the command line tool
contains usage which should be displayed on the page of the app

6. html templates

blocks displayed on the pages (form can be one template) or whole pages

7. jobs

directory which contains the analyzed data (should be periodically erased)

8. examples

files to download to test if the app is working

app.py

to be filled in

Transform ZEISS position files

Folder structure README.md How to run it in the container To run development docker compose \ -f docker-compose.yml \ -f docker-compose.dev.yml \ up To run production: docker compose down docker compose build --no-cache docker compose up -d The difference between dev and production version is that the app is not in the volume To run witout a docker compose docker run --rm \ -v "$(pwd):/app" \ -w /app \ zeiss-positions \ python script....

Motivation#

Main expected benefits:#

Design ideas#

Reproducibility:#

Easy to create#

General design outline#

1. README#

2. Docker setup#

3. Python environment#

4. app.py#

5. script.py#

6. html templates#

7. jobs#

8. examples#

app.py#