Evidently AI for generating Data drift Target Drift & Regression Drift reports quickly

import evidently
from evidently.report import Report
from evidently.metric_preset import DataDriftPreset, TargetDriftPreset, RegressionPreset

def generate_evidently_report(reference_data, current_data, output_path, report_type="data_drift"):
    """
    Generate an Evidently report for the given reference and current datasets.
    
    Parameters:
        reference_data (pd.DataFrame): The reference dataset.
        current_data (pd.DataFrame): The current dataset.
        output_path (str): The file path where the report will be saved (e.g., 'report.html').
        report_type (str): The type of report to generate. Options: 
                           'data_drift', 'target_drift', 'regression'.
                           
    Returns:
        None: Saves the report as an HTML file to the specified output path.
    """
    # Define the metrics preset based on the report type
    if report_type == "data_drift":
        report = Report(metrics=[DataDriftPreset()])
    elif report_type == "target_drift":
        report = Report(metrics=[TargetDriftPreset()])
    elif report_type == "regression":
        report = Report(metrics=[RegressionPreset()])
    else:
        raise ValueError("Invalid report type. Choose from 'data_drift', 'target_drift', or 'regression'.")
    
    # Run the report
    report.run(reference_data=reference_data, current_data=current_data)
    
    # Save the report
    report.save_html(output_path)
    print(f"Report saved to {output_path}")

reference_data,pd.DataFrame,The reference dataset (e.g., historical data or training data).,A DataFrame with features and targets.

current_data,pd.DataFrame,The current dataset (e.g., new data to compare against the reference).,A DataFrame with similar structure.

output_path,str,File path where the generated HTML report will be saved.,”output/report.html”

report_type,str,The type of report to generate. Options: ‘data_drift’, ‘target_drift’, ‘regression’.,’data_drift

import httpx

# Replace with your Slack webhook URL
slack_webhook_url = "https://hooks.slack.com/services/XXXX/YYYY/ZZZZ"

# The payload you want to send
payload = {"message": "This is a test message... ignore this"}

# Making the POST request with SSL verification disabled
with httpx.Client(verify=False) as client:
    response = client.post(slack_webhook_url, json=payload)

# Check the response
if response.status_code == 200:
    print("Message sent successfully!")
else:
    print(f"Failed to send message. Status code: {response.status_code}, Response: {response.text}")