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Disable:

sudo launchctl unload -w /System/Library/LaunchDaemons/com.apple.metadata.mds.plist

Enable:

sudo launchctl load -w /System/Library/LaunchDaemons/com.apple.metadata.mds.plist

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Integrating Qase with Playwright

In software development, automation is pivotal for ensuring quality and reliability. A well-structured testing process not only conserves time and resources but also enables developers to swiftly identify and address issues. Integrating robust test management tools with versatile automation frameworks is essential to achieving this goal.

For those unfamiliar, Qase is a comprehensive TestOps platform designed to manage both manual and automated tests efficiently. Playwright, a powerful end-to-end testing framework developed by Microsoft, offers an array of features such as automatic waiting, screenshot capture, and video recording. By combining the capabilities of Qase with Playwright, you can streamline your testing workflow and enhance your test management capabilities.

In this guide, we will walk you through the steps to integrate Qase with Playwright using the Qase reporter for a seamless test automation experience. This guide assumes you have basic knowledge of JavaSc

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import asyncio
import requests

# Function to read user input
def read_input(prompt):
    return input(prompt + ": ")

# Function to generate individual test case IDs from a range
def generate_test_case_ids(range_start, range_end):
    return list(range(range_start, range_end + 1))

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import requests

# Function to make the first API call and retrieve defect IDs
def get_defect_ids(api_token, project_code, run_id):
    url = f"https://api.qase.io/v1/run/{project_code}/{run_id}?include=defects"
    headers = {
        "accept": "application/json",
        "Token": api_token
    }
    response = requests.get(url, headers=headers)

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import requests
import json
from datetime import datetime

print("The script will clone all test cases that have a particular result into a new test run. If you have a test case with parametrized result in the existing run, all possible values will be cloned to the new run.")

def make_second_api_call(api_token, project_code, unique_case_ids):
    # Print the second API call for verification
    print("Second API Call:")
    print(f"curl --request POST \\\n"

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import requests

def delete_defects(api_token, project_code, defect_ids):
    base_url = "https://api.qase.io/v1/defect"
    url = f"{base_url}/{project_code}/"

    headers = {
        "accept": "application/json",
        "Token": api_token
    }

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#!/bin/bash

# Function to read user input
read_input() {
  read -p "$1: " user_input
  echo "$user_input"
}

# Function to generate individual test case IDs from a range
generate_test_case_ids() {

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#!/bin/bash

# Function to prompt user for input and store in variable
get_user_input() {
    read -p "$1: " input
    echo "$input"
}

# Function to perform the API call for deleting a defect
delete_defect() {

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#!/bin/bash

echo -e "\n The script will clone all test cases that have a particular result into a new test run. If you have a test case with parametrized result in the existing run, all possible values will be cloned to the new run. \n"

# Interactive input for API token, project code, run ID, and desired results to clone
read -p "Enter your API token: " api_token
read -p "Enter your project code: " project_code
read -p "Enter the run ID: " run_id
read -p "Which cases do you want to clone? (e.g., failed, blocked, invalid, passed etc): " clone_status