run.py

from renumics import spotlight
from renumics.spotlight.analysis.typing import DataIssue
import pandas as pd
import numpy as np


if __name__ == "__main__":
    df = pd.read_json("report-data-environmental-noise.json")

    data_issues = df["issue"].unique()
    spotlight_data_issues = []
    data_issue_severity = []
    for issue in data_issues:
        if issue == -1:
            continue
        issue_rows = np.where(df["issue"] == issue)[0].tolist()
        issue_metric = df[df["issue"] == issue].iloc[0]["issue_metric"]
        data_issue_severity.append(issue_metric)
        new_issue = DataIssue(
                severity="medium",
                title=f"Issue {issue}: {issue_metric:.2f}",
                description=f"Issue {issue}: {issue_metric:.2f}",
                rows=issue_rows)
        spotlight_data_issues.append(new_issue)
        data_issue_order = np.argsort(data_issue_severity)

    data_issue_order = data_issue_order[::-1]

    
    
    
    while True:
        dtypes = {
            "audio": spotlight.Audio,
            "sg_emb_audio": spotlight.Embedding,
        }
        view = spotlight.show(
            df,
            dtype=dtypes,
            layout="spotlight-layout-environmental-noise.json",
            issues=np.array(spotlight_data_issues)[data_issue_order].tolist(),
            port=7860, 
            host="0.0.0.0",
            allow_filebrowsing=False 
        )

        view.close()