Hi everyone, Why are nodes in a namespace collaps...
# questions
Hi everyone, Why are nodes in a namespace collapsed by default when deploying
kedro viz
over Host
? I want to show them expanded by default. Here's an example of the behavior I'm seeing: https://brawlstars-retention-pipeline-6u27jcczha-uw.a.run.app/, and this doesn't happen with localhost. Can someone suggest a way to modify the code used in this thread to show the nodes expanded? Thanks 🙂
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"""`kedro_viz.server` provides utilities to launch a webserver for Kedro pipeline visualisation."""
import webbrowser
from pathlib import Path
from typing import Any, Dict, Optional

import uvicorn
from fastapi.encoders import jsonable_encoder
from <http://kedro.io|kedro.io> import DataCatalog
from kedro.pipeline import Pipeline
from watchgod import run_process
import os

from kedro_viz.api import apps
from kedro_viz.api.rest.responses import EnhancedORJSONResponse, get_default_response
from kedro_viz.constants import DEFAULT_HOST, DEFAULT_PORT
from kedro_viz.data_access import DataAccessManager, data_access_manager
from kedro_viz.database import create_db_engine
from kedro_viz.integrations.kedro import data_loader as kedro_data_loader
from kedro_viz.models.experiment_tracking import Base

DEV_PORT = 4142

def is_localhost(host) -> bool:
    """Check whether a host is a localhost"""
    return host in ("", "localhost", "")

def populate_data(
    data_access_manager: DataAccessManager,
    catalog: DataCatalog,
    pipelines: Dict[str, Pipeline],
    session_store_location: Optional[Path],
):  # pylint: disable=redefined-outer-name
    """Populate data repositories. Should be called once on application start
    if creatinge an api app from project.
    if session_store_location:
        database_engine, session_class = create_db_engine(session_store_location)


def run_server(
    host: str = DEFAULT_HOST,
    port: int = DEFAULT_PORT,
    browser: Optional[bool] = None,
    load_file: Optional[str] = None,
    save_file: Optional[str] = None,
    pipeline_name: Optional[str] = None,
    env: Optional[str] = None,
    project_path: Optional[str] = None,
    autoreload: bool = False,
    extra_params: Optional[Dict[str, Any]] = None,
):  # pylint: disable=redefined-outer-name, too-many-locals
    """Run an uvicorn server with a FastAPI app that either launches API response data
    from a file or from reading data from a real Kedro project.

        host: the host to launch the webserver
        port: the port to launch the webserver
        browser: whether to open the default browser automatically
        load_file: if a valid JSON containing API response data is provided,
            the API of the server is created from the JSON.
        save_file: if provided, the data returned by the API will be saved to a file.
        pipeline_name: the optional name of the pipeline to visualise.
        env: the optional environment of the pipeline to visualise.
            If not provided, it will use Kedro's default, which is "local".
        autoreload: Whether the API app should support autoreload.
        project_path: the optional path of the Kedro project that contains the pipelines
            to visualise. If not supplied, the current working directory will be used.
        extra_params: Optional dictionary containing extra project parameters
            for underlying KedroContext. If specified, will update (and therefore
            take precedence over) the parameters retrieved from the project
    if load_file is None:
        path = Path(project_path) if project_path else Path.cwd()
        catalog, pipelines, session_store_location = kedro_data_loader.load_data(
            path, env, extra_params
        pipelines = (
            if pipeline_name is None
            else {pipeline_name: pipelines[pipeline_name]}
        populate_data(data_access_manager, catalog, pipelines, session_store_location)
        if save_file:
            default_response = get_default_response()
            jsonable_default_response = jsonable_encoder(default_response)
            encoded_default_response = EnhancedORJSONResponse.encode_to_human_readable(
        app = apps.create_api_app_from_project(path, autoreload)
        app = apps.create_api_app_from_file(load_file)

    if browser and is_localhost(host):
    uvicorn.run(app, host=host, port=port, log_config=None)

if __name__ == "__main__":  # pragma: no cover
    import argparse

    from kedro.framework.startup import bootstrap_project

    port = int(os.environ.get("PORT", 4141))

    project_path = os.getcwd()
            "host": "",
            "port": port,
            "project_path": str(project_path),