Add fondant base image

[mrchtr]

The PR contains the docker file for the base image and adjusts the code to use the base image for the python components.

Up for a better naming of the base image. Currently I've used fndnt/fondant-base:fondant_version-python_version,
e.g. fndnt/fondant-base:0.9.0-python3.10

Fix #782

[PhilippeMoussalli]

Thanks Matthias!

Do we also plan on providing base fondant pytorch images for CUDA components? I guess there we'll have to make more limited choices (which pytorch version, python versions are limited)

https://github.com/cnstark/pytorch-docker

[mrchtr]

Do we also plan on providing base fondant pytorch images for CUDA components? I guess there we'll have to make more limited choices (which pytorch version, python versions are limited)

I thought about this. I guess we don't need them right now. It can be quite complex and I think when people start using the GPU we should recommend building a custom component the old way. This components won't be lightweight neither.

[PhilippeMoussalli]

Do we also plan on providing base fondant pytorch images for CUDA components? I guess there we'll have to make more limited choices (which pytorch version, python versions are limited)

I thought about this. I guess we don't need them right now. It can be quite complex and I think when people start using the GPU we should recommend building a custom component the old way. This components won't be lightweight neither.

alright makes sense! Some tests still to be failing though

[PhilippeMoussalli]

Thanks :)

[mrchtr]

Tested the build process in one of the latest commits.
Successfully executed run here: https://github.com/ml6team/fondant/actions/runs/7626293892/job/20772373591?pr=801

[GeorgesLorre]

Nice! Looking very good!

[GeorgesLorre]

Btw I tested the base image in a local pipeline and it worked fine!

@lightweight_component(
    base_image="fndnt/fondant-base:dc8d9b208802ee85796238ff9a903c8bf66906e8-python3.8"
)
class FeatOne(PandasTransformComponent):
    def transform(self, dataframe: pd.DataFrame) -> pd.DataFrame:
        dataframe["one"] = dataframe["x"].map(lambda x: x + 1)
        return dataframe

[GeorgesLorre]

Nice! thx

How come I only see 1 tag on docker hub ?

[RobbeSneyders]

Thanks @mrchtr!

Left some small comments, but looks good!

For the name of the images, I would propose just fondant, and I would abbreviate the python versions to eg. py3.11.