| import pyautogui | |
| import time | |
| import random | |
| screenWidth, screenHeight = pyautogui.size() | |
| currentMouseX, currentMouseY = pyautogui.position() | |
| while True: | |
| pyautogui.moveTo(random.randint(1, 1000), random.randint(1, 500)) | |
| time.sleep(20) |
| vim /etc/nginx/nginx.conf: | |
| #add: | |
| log_format mycombined '$remote_addr - $remote_user [$time_iso8601] "$request" $status $body_bytes_sent "$http_referer" "$http_user_agent"'; | |
| access_log /var/log/nginx/access.log mycombined; | |
| nginx -s reload |
| # Get all the logs | |
| tail -f /var/log/nginx/access.log | | |
| # Extract IP and Timestamp for example | |
| awk '{print $1 " " substr($4, 2, length($4) - 7)}' FPAT='[^ ]*|"[^"]*"|\\[[^]]*\\]' |
| sqlite3 /home/logger/logs.db "create table todo (ip TEXT, timestamp TEXT, status_code TEXT, bytes_sent TEXT, request_method TEXT, request_url TEXT, request_protocol TEXT, referrer TEXT, user_agent TEXT);" |
| tail -f /var/log/nginx/access.log | \ | |
| # parsing every line | |
| gawk '{print $1 " " substr($4, 2, length($4) - 8) " " $6 " " $7 " " substr($5, 2, length($5) -2) " " substr($8, 2, length($8)-2) " " $9; system("")}' FPAT='[^ ]*|"[^"]*"|\\[[^]]*\\]' | \ | |
| # inserting every new line into sqlite | |
| (while read ip timestamp status_code bytes_sent request_method request_url request_protocol referrer user_agent; do sqlite3 -batch /home/logger/logs.db "insert into todo (ip, timestamp, status_code, bytes_sent, request_method, request_url, request_protocol, referrer, user_agent) values (\"$ip\",\"$timestamp\", \"$status_code\", \"$bytes_sent\", \"$request_method\", \"$request_url\", \"$request_protocol\" ,\"$referrer\" , $user_agent);"; done ) |
| [Unit] | |
| Description=Nginx Sqlite Logging service | |
| After=network.target | |
| StartLimitIntervalSec=0 | |
| [Service] | |
| Type=simple | |
| Restart=always | |
| RestartSec=1 | |
| User=logger | |
| ExecStart=/bin/bash /home/logger/logging.sh &> /var/log/sqliter/errors.log |
Streaming your Linux desktop to Youtube and Twitch via Nvidia's NVENC and VAAPI:
Considerations to take when live streaming:
The following best practice observations apply when using a hardware-based encoder for live streaming to any platform:
Set the buffer size (-bufsize:v) equal to the target bitrate (-b:v). You want to ensure that you're encoding in CBR mode.
Set up the encoders as shown:
| # coding: utf8 | |
| import urllib.request | |
| import re | |
| import sys | |
| from collections import defaultdict | |
| from random import random | |
| import time | |
| """ | |
| # No need to run this |
All packages, except for Tini have been added to termux-root. To install them, simply pkg install root-repo && pkg install docker. This will install the whole docker suite, left only Tini to be compiled manually.
