Hello everyone! I’m having trouble getting Kedro Viz to display my experiment metrics, and I was hoping someone might help me troubleshoot the issue. I have metrics being saved to

us_6_gas_by_date_tracking_metrics.json

and the file looks like this: ```json

{

"rmse": 2681.4785,

"mae": 2211.2415,

"r2": -3568893.6356

}

• My

catalog.yml

entry for the tracking dataset is as follows:

"{name_us}_{base}_{split_type}_tracking_metrics":

type: kedro.extras.datasets.tracking.MetricsDataSet

filepath: data/09_tracking/{name_us}_{base}_{split_type}_tracking_metrics.json

• The relevant node in my Kedro pipeline is defined like this:

node(

func=tracking_metrics,

inputs=[f"{name_us}_{base}_{split_type}_test_predicted"],

outputs=f'{name_us}_{base}_{split_type}_tracking_metrics',

name=f"tracking_{name_us}_{base}_{split_type}_node"

)

• The

tracking_metrics

function used in the node is implemented as follows:

from math import sqrt

from sklearn.metrics import mean_squared_error, mean_absolute_error, r2_score

import numpy as np

def tracking_metrics(test_data: pd.DataFrame) -> dict[str, float]:

target_cols = [col for col in test_data.columns if col.endswith('_target')]

if not target_cols:

raise ValueError("No target column found in the test data.")

target_col = target_cols[0]

test_data = test_data.dropna(subset=[target_col, 'Prediction'])

rmse = np.round(sqrt(mean_squared_error(test_data[target_col], test_data['Prediction'])), 4)

mae = np.round(mean_absolute_error(test_data[target_col], test_data['Prediction']), 4)

r2 = np.round(r2_score(test_data[target_col], test_data['Prediction']), 4)

return {'rmse': rmse, 'mae': mae, 'r2': r2}

The file is stored at

C:\Dev\kedro_pelopt\sentinela-palletizing\peloptmize\data\09_tracking\

, and I've confirmed that the metrics are being correctly saved. However, when I go to Kedro Viz's experiment tracking section, it shows "No data to display." I'm currently using Kedro version

0.19.3

, Kedro datasets

2.1.0

and Kedro Viz version

8.0.1

. Here's what I've tried so far: • Made sure the Kedro Viz server is pointing to the correct Kedro project. • Restarted the Kedro Viz server after changes. • Cleared the browser cache and tried accessing in an incognito window. • Checked the

catalog.yml

for correct file paths. • Looked for any necessary configurations in

kedro_viz.yaml

. • Opened the developer console in the browser for any errors but didn't find any clues. Does anyone have suggestions on what else I can check or try to resolve this? Thank you in advance for your help!

Can you try upgrading to Kedro 9.0.0? Dataset factories was not working with Kedro-viz experiment tracking which we fixed in yesterdays' release.

@Rashida Kanchwala, hello! Thank you for your attention! I make this update and now I am getting this error for my hook:

(peloptimize) C:\Dev\kedro_pelopt\sentinela-palletizing\peloptmize>kedro viz run

Starting Kedro Viz ...

Process Process-1:

Traceback (most recent call last):

File "C:\Users\gabriel.gomes\AppData\Local\anaconda3\envs\peloptimize\lib\multiprocessing\process.py", line 314, in _bootstrap

self.run()

File "C:\Users\gabriel.gomes\AppData\Local\anaconda3\envs\peloptimize\lib\multiprocessing\process.py", line 108, in run

self._target(*self._args, **self._kwargs)

File "C:\Users\gabriel.gomes\AppData\Local\anaconda3\envs\peloptimize\lib\site-packages\kedro_viz\server.py", line 112, in run_server

load_and_populate_data(path, env, include_hooks, extra_params, pipeline_name)

File "C:\Users\gabriel.gomes\AppData\Local\anaconda3\envs\peloptimize\lib\site-packages\kedro_viz\server.py", line 62, in load_and_populate_data

catalog, pipelines, session_store, stats_dict = kedro_data_loader.load_data(

File "C:\Users\gabriel.gomes\AppData\Local\anaconda3\envs\peloptimize\lib\site-packages\kedro_viz\integrations\kedro\data_loader.py", line 110, in load_data

pipelines_dict = dict(pipelines)

File "C:\Users\gabriel.gomes\AppData\Local\anaconda3\envs\peloptimize\lib\site-packages\kedro\framework\project\__init__.py", line 142, in inner

self._load_data()

File "C:\Users\gabriel.gomes\AppData\Local\anaconda3\envs\peloptimize\lib\site-packages\kedro\framework\project\__init__.py", line 187, in _load_data

project_pipelines = register_pipelines()

File "C:\Dev\kedro_pelopt\sentinela-palletizing\peloptmize\src\peloptmize\pipeline_registry.py", line 19, in register_pipelines

raise NotImplementedError("""

NotImplementedError:

register_pipelines() is expected to be overwritten by ProjectHooks.

Make sure the hooks is found in peloptimize/hooks and enabled in settings.py

My settings file:

"""Project settings. There is no need to edit this file unless you want to change values

from the Kedro defaults. For further information, including these default values, see

<https://kedro.readthedocs.io/en/stable/kedro_project_setup/settings.html>."""

from peloptmize.hooks import proj_hooks

HOOKS = (proj_hooks.ProjectHooks(),)

from kedro.config import OmegaConfigLoader  # noqa: import-outside-toplevel

CONFIG_LOADER_CLASS = OmegaConfigLoader

from kedro_viz.integrations.kedro.sqlite_store import SQLiteStore

from pathlib import Path

SESSION_STORE_CLASS = SQLiteStore

SESSION_STORE_ARGS = {"path": str(Path(__file__).parents[2] / "data")}

thanks. can you try

kedro viz run --include-hooks

Working, thank you @Rashida Kanchwala

In general, hooks are not necessary for Kedro-viz unless you are using 'dynamic pipelines'. Often, hooks can slow down Kedro-viz. Therefore, starting with Kedro-viz 9.0.0, we made hooks optional by default. If users need hooks, they can enable them by running

kedro viz run --include-hooks