jsonschema 4.4.0 does not provide the extra 'isoduration' https://stackoverflow.com/questions/71857090/jsonschema-4-4-0-does-not-provide-the-extra-isoduration

Deprecation of Get Current Session

Folks has anyone ever built a cataog object for publishing to kafka topics?

I haven't seen one but we'd love a PR if you make one!

Hello everyone, I am trying to launch kedro pipeline from another Python script. Load Context seems to be deprecated in 0.18 version. Does anyone know a workaround?

session will be the way to go

any guide/tutorial/article on it's usage will be really helpful. Also, can KedroContext be used in place of Load Context for the same usage?

https://kedro.readthedocs.io/en/stable/tutorial/package_a_project.html?highlight=package%20a%20project#:~:text=once%20you%20have%20your%20project%20installed%2C%20you%20can%20run%20your%20pipelines%20from%20any%20python%20code%20by%20simply%20importing%20it%20as%20follows%3A Does this help? You may also have a look at the RELEASE notes here. https://github.com/kedro-org/kedro/releases/tag/0.18.0

If you are just trying to run a pipeline. The default way for 0.18.x is just create a session and do

session.run()

, you don't need to access context to execute a pipeline. In fact

context.run

has been removed.

The entire goal is to use the structure of a Kedro project, thereby utlizing the decoupling of input parameters from actual source code. I am also wish to use other Kedro features such as data catalogue, configurations, credentials.yml. But I am trying to just trigger the pipelines from another python script. What do you suggest would be the best way for this?

Kedro documentation does not show up all functions after compiling kedro build-docs https://stackoverflow.com/questions/71908281/kedro-documentation-does-not-show-up-all-functions-after-compiling-kedro-build-d

A colleague and I looked into this a while back, and created a POC based on spark-streaming. You can check it out on https://github.com/deepyaman/kedro-streaming/blob/develop/conf/base/catalog.yml#L11. No guarantees it works with latest Kedro. 🙂 We also explored using

faust

as a backend for this (and being more Python-native), but

faust

isn't really maintained anymore (and was lacking some other necessary functionality, like joining streams). There's an overall question of how to better support streaming workflows with Kedro, as Kedro is notoriously batch-oriented.

VersionNotFoundError when writing S3 bucket from a Custom Dataset https://stackoverflow.com/questions/71943716/versionnotfounderror-when-writing-s3-bucket-from-a-custom-dataset

Hello guys, I am working on reformatting a ML project to Kedro. Basically in the project I have three pipeline, data engineering, data science and prediction. Along with having main nodes for these pipeline I also have lot of helper/utility functions which need to be reformatted into kedro somewhere. I am unsure how I should structure these helper functions. Whether I should put them down as sub-pipelines or use them as is in the form of helper scripts. I would like to know what's the Kedro standard in this use case. TIA

Hello folks! I have a question regarding IncrementalDataSet catalog entry. In the documentation, it is specified that a checkpoint file will be created /at the location/ of the dataset to remember which entries have already been processed or not. My question is: if multiple data scientists are running the pipeline from different computer, will the checkpoint file remember which computer has already process which entries? Or will one user have missing points if another has already processed them on its side?

Versioned Datasets in Kedro https://stackoverflow.com/questions/71951381/versioned-datasets-in-kedro

Incremental Checkpoints

Hello, I have a question regarding creating the pipeline which collect some other pipeline outputs for provided list of parameters. Consider I have a pipeline

pipe

which takes the input param

params:alpha

and gives the output

output

I would like to run this pipeline with different values of parameter

alpha

I know I can pass extra params using CLI

kedro run --pipeline pipe --params "alpha:5"

, My problem is that I would like to create the following pipeline: * run

pipe

with

alpha=x

for each

x

in

params:bunch_of_alphas

and name the output as

output_x

* collect all the outputs from previous step and run the node which takes that collection and creates the single

report

output. I am afraid I do not know how to do that in kedro. I am using kedro 0.18 I have already idea to create the pipeline with takes the

params:bunch_of_alphas

and calls the function which does

for

loop and creates fake

params:alpha

in current kedro session..... and then stops since it is too complicated. Is there any clean solution?

I think you want to adapt a

before_pipeline_run

hook here

But how? Should I overwrite pipeline's input params? And how to do that using Python iterator over

params:bunch_of_alphas

? The only thing I have in my mind is to create fake kedro's catalog item with new "temporary_alpha_param" Actually I have no how to override the pipeline params in

before_pipeline_run

hook. Could you point some example code?

By the way, I think one should not modify pipeline inputs params in

before_pipeline_run

hook, right ?

So in truth you're fighting this because we've designed to be generate reproducible results, the this dynamism isn't natively supported

I don't think for loops are necessarily bad, our view on dynamism is that you should be able to do dynamic inputs/outputs, but the pipeline structure should be static

The modular pipeline constructor also allows you instantiate the same pipeline, but with overridden the inputs/outputs, perhaps this is all you need? https://kedro.readthedocs.io/en/stable/nodes_and_pipelines/modular_pipelines.html

Is there a doc on order of hook execution or how a pipeline is actually executed. Eg: Session creation --> catalog created --> pipeline run triggered -->dataset load..........

https://kedro.readthedocs.io/en/stable/faq/architecture_overview.html and there are sequence diagrams in this article https://medium.com/quantumblack/introducing-kedro-hooks-fd5bc4c03ff5

Not in the doc but I have this one recently (Ignore the on_xxx_error it's not in the right order)

And we have a new hook candidate coming. https://github.com/kedro-org/kedro/issues/1458

Thanks for this, that PR is exactly the reason I started looking for the order.

@noklam maybe we should include a diagram in the docs as part of that PR, I've also just had

after_command_run

merged on the CLI side