Lotus Petal Proxy

Open the "Settings" application via "Start" and go to "Network and Internet". Here, in the "Proxy" section, find the "Manual Proxy Configuration" column. Move the slider to "On" and carefully enter the IP address and port of the proxy, then click "Save".

There are several options for its use: bypassing the blocking of websites, shopping in foreign online stores at regional (local) prices, access to a full library of media content, hiding your real IP-address.

Scraping or accessing Twitch chat data programmatically should be done using Twitch's official API, rather than scraping directly from the website, to ensure compliance with Twitch's terms of service. The official Twitch API provides endpoints for accessing chat information.

Here's a general guide on how you can use the Twitch API to retrieve chat data in Python:

1. Register Your Application:

   • Go to the Twitch Developer Console and create a new application to get your client ID and client secret.

2. Get an OAuth Token:

   • Use your client ID and client secret to obtain an OAuth token. You'll need the chat:read and chat:read:admin scopes for reading chat data.
   • You can use a library like requests to make HTTP requests to Twitch's authentication endpoint.

3. Connect to IRC (Internet Relay Chat):

   • Twitch chat is based on IRC, so you'll need to connect to Twitch's IRC server. You can use a library like irc or irc3 in Python to handle the IRC connection.
   • Connect to the server at irc.chat.twitch.tv on port 6667.

4. Join a Channel:

   • Use the IRC JOIN command to join a specific channel's chat.
   • For example: JOIN #channel_name.

5. Read Chat Messages:

   • Listen for messages in the chat. Twitch chat messages are sent as IRC messages.
   • Parse and process the messages as needed.

Here's a simplified example using the irc library in Python:

import irc.client
import requests

# Obtain OAuth token
client_id = 'your_client_id'
client_secret = 'your_client_secret'
oauth_token_response = requests.post(
    'https://id.twitch.tv/oauth2/token',
    params={
        'client_id': client_id,
        'client_secret': client_secret,
        'grant_type': 'client_credentials',
        'scope': 'chat:read'
    }
)
oauth_token = oauth_token_response.json()['access_token']

# Connect to IRC
class TwitchChatClient(irc.client.SimpleIRCClient):
    def __init__(self, channel):
        super().__init__()
        self.channel = channel

    def on_welcome(self, connection, event):
        connection.join(self.channel)

    def on_pubmsg(self, connection, event):
        print(f"{event.source.nick}: {event.arguments[0]}")

channel_name = 'your_channel_name'
client = irc.client.IRC().server()
client.connect('irc.chat.twitch.tv', 6667, 'your_bot_nickname', password=f'oauth:{oauth_token}')
client.add_global_handler('all_events', TwitchChatClient(channel_name).on_pubmsg)
client.process_forever()

To run GUI autotests in GitLab CI\CD using Docker, Selenium, and PyTest, you can follow these steps:

1. Create a .gitlab-ci.yml file in the root directory of your project. This file will define the pipeline and the jobs for your CI\CD process.

2. Configure the pipeline to use the appropriate image for your tests. In this case, you can use a Python image with the required dependencies installed.

3. Define the before_script section to set up the environment for the tests, including installing the necessary packages and downloading the required drivers for Selenium.

4. Define the test job to run the PyTest tests using the Selenium WebDriver.

Here's an example of a .gitlab-ci.yml file:

stages:
  - test

variables:
  SELENIUM_CHROME_DRIVER: '102.0.5005.62'
  SELENIUM_FIREFOX_DRIVER: '0.26.0'

image: python:3.8

cache:
  paths:
    - .venv
    - requirements.txt

before_script:
  - apt-get update -qq
  - apt-get install -y --no-install-recommends \
      build-essential \
      wget \
      xvfb \
      xvfb-run
  - pip install --upgrade pip
  - pip install --quiet --upgrade pytest
  - pip install --quiet selenium
  - pip install --quiet webdriver-manager
  - wget https://github.com/SeleniumHQ/selenium/releases/download/v${SELENIUM_CHROME_DRIVER}/chromedriver_linux64.zip
  - unzip chromedriver_linux64.zip chromedriver
  - wget https://github.com/SeleniumHQ/selenium/releases/download/v${SELENIUM_FIREFOX_DRIVER}/geckodriver-v${SELENIUM_FIREFOX_DRIVER}
  - mv geckodriver-v${SELENIUM_FIREFOX_DRIVER} geckodriver

test:
  stage: test
  script:
    - pytest tests/
  tags:
    - selenium
  artifacts:
    reports:
      - html
  only:
    - master
    - merge_requests

This .gitlab-ci.yml file defines a single stage called test that runs the PyTest tests in the tests/ directory. The before_script section installs the necessary dependencies, downloads the Selenium WebDriver for Chrome and Firefox, and sets up the environment for running the tests.

The tags: - selenium line ensures that the job runs on a runner with the selenium tag, which should have the appropriate Selenium WebDriver installed. The artifacts: reports: - html line enables the generation of HTML reports for the test results.

The only: - master - merge_requests line specifies that the tests should be run on every commit to the master branch and on every merge request.

Once you've set up the .gitlab-ci.yml file, commit and push it to your repository. Then, create a new merge request or push to the master branch to trigger the CI\CD pipeline and run the GUI autotests using Docker, Selenium, and PyTest.

It depends on which browser you are using. In Opera, Chrome, Edge a proxy is configured at the level of the operating system itself. In Firefox in the settings there is a special item (in the "Privacy" section).