adonis simo simo97

## llm.ts
/**
 * GenerateStreamedResponse(question, history)
 * GenerateResponse(question, history)
 * Should be a class
 */

import type OpenAI from 'openai';
// import ollama from './ollama';
import openai from './openai';
import type { ChatResponse, Message } from 'ollama';

## GoogleDorking.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                simo97
                / GoogleDorking.md
            
            
              Created
              May 18, 2023 10:43
                — forked from sundowndev/GoogleDorking.md
            
              
                Google dork cheatsheet
              
          
    Google dork cheatsheet

Search filters


Filter
Description
Example


allintext
Searches for occurrences of all the keywords given.
allintext:"keyword"


intext
Searches for the occurrences of keywords all at once or one at a time.
intext:"keyword"


inurl
Searches for a URL matching one of the keywords.
inurl:"keyword"


allinurl
Searches for a URL matching all the keywords in the query.
allinurl:"keyword"


intitle
Searches for occurrences of keywords in title all or one.
intitle:"keyword"


## install-redis.sh
#!/bin/bash
###############################################
# To use:
# chmod +x install-redis.sh
# ./install-redis.sh
###############################################
version=3.2.0

echo "*****************************************"
echo " 1. Prerequisites: Install updates, set time zones, install GCC and make"

## index1.HTML
<!DOCTYPE html>
<html>

<head>
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<title> fiche technique dispositif flottant IUT</title>
	<link rel="stylesheet" href="css/sytel.css">
</head>

## README.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                simo97
                / README.md
            
            
              Created
              February 16, 2022 15:39
                — forked from leonardofed/README.md
            
              
                A curated list of AWS resources to prepare for the AWS Certifications
              
          
A curated list of AWS resources to prepare for the AWS Certifications
A curated list of awesome AWS resources you need to prepare for the all 5 AWS Certifications. This gist will include: open source repos, blogs & blogposts, ebooks, PDF, whitepapers, video courses, free lecture, slides, sample test and many other resources.


## auth.py
from fusionauth.fusionauth_client import FusionAuthClient

class FusionAuthBackend:

    def authenticate(username: str, password: str, *args, **kwargs):
        # fusionauth_client.
        client = FusionAuthClient(settings.FUSION_AUTH_API_KEY, settings.FUSION_AUTH_BASE_URL)
        _tenant_id = settings.FUSION_AUTH_MAIN_TENANT_ID
        if _tenant_id != "":
            client.set_tenant_id(settings.FUSION_AUTH_MAIN_TENANT_ID)

## is_into_square.py
def is_into_square(latMin, latMax, longMin, longMax, lat , long) -> bool:
    """
    This function check if a point(lat, long) is contained into a square (BBOX) knowing his max and min coordinates
    :param latMin: min latitude of the BBOx
    :param latMax: max latitude of the BBOx
    :param longMin: max longitude of the BBOx
    :param longMax: max longitude of the BBOx
    :param lat: the latitude of the point to verified
    :param long: the longitude of the point to be verified
    :return: bool

## Connecting_postgress_RDS_from_local_via_bastion.md

      
              1 file
            
          
              0 forks
            
          
              0 comments
            
          
              0 stars
            
          
                simo97
                / Connecting_postgress_RDS_from_local_via_bastion.md
            
            
              Created
              July 23, 2021 01:05
                — forked from kshailen/Connecting_postgress_RDS_from_local_via_bastion.md
            
              
                Ways to connect to postgress RDS instance from bastion host and from local host
              
          
    When it comes to databases and AWS VPC, best practice is to place your database in private subnet. By definition, private subnet in AWS is not reachable from the Internet because no Internet gateway is attached to private subnet. This is the way you protect your data.
This kind of configuration is good for security but bad for data management.
How can you easily access and manage your secured data?

There are two basic ways to acees it.

Access postgres RDS from bastion host.
There are following requirements for this.


## FileField_manual_initialisation.py
# Assuming you have a Article Model like this
# class Article(models.Model):
#   ... Some field
# 	media = models.FileField(upload_to="path_to_inner_media_folder", blank=True)

from django.core.files.base import ContentFile
import os

# Create an article with the associated model
new_article = Article()

## django-q-cluster.config
container_commands:
  01_makemigrations:
    command: "python manage.py makemigrations"
    leader_only: true
  02_migrate:
    command: "python manage.py migrate"
    leader_only: true
  # Patch the current version, circular imports cause an ImportError (see https://github.com/Koed00/django-q/issues/331)
  03_patch_django_q:
    # Replace line 12 ('from django_q.cluster import worker, monitor') by 'from django_q.cluster import *'
	/**
	* GenerateStreamedResponse(question, history)
	* GenerateResponse(question, history)
	* Should be a class
	*/

	import type OpenAI from 'openai';
	// import ollama from './ollama';
	import openai from './openai';
	import type { ChatResponse, Message } from 'ollama';
Filter	Description	Example
allintext	Searches for occurrences of all the keywords given.	`allintext:"keyword"`
intext	Searches for the occurrences of keywords all at once or one at a time.	`intext:"keyword"`
inurl	Searches for a URL matching one of the keywords.	`inurl:"keyword"`
allinurl	Searches for a URL matching all the keywords in the query.	`allinurl:"keyword"`
intitle	Searches for occurrences of keywords in title all or one.	`intitle:"keyword"`
	#!/bin/bash
	###############################################
	# To use:
	# chmod +x install-redis.sh
	# ./install-redis.sh
	###############################################
	version=3.2.0

	echo "*****************************************"
	echo " 1. Prerequisites: Install updates, set time zones, install GCC and make"
	<!DOCTYPE html>
	<html>

	<head>
	<meta charset="utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1">
	<title> fiche technique dispositif flottant IUT</title>
	<link rel="stylesheet" href="css/sytel.css">
	</head>
	from fusionauth.fusionauth_client import FusionAuthClient

	class FusionAuthBackend:

	def authenticate(username: str, password: str, args, *kwargs):
	# fusionauth_client.
	client = FusionAuthClient(settings.FUSION_AUTH_API_KEY, settings.FUSION_AUTH_BASE_URL)
	_tenant_id = settings.FUSION_AUTH_MAIN_TENANT_ID
	if _tenant_id != "":
	client.set_tenant_id(settings.FUSION_AUTH_MAIN_TENANT_ID)
	def is_into_square(latMin, latMax, longMin, longMax, lat , long) -> bool:
	"""
	This function check if a point(lat, long) is contained into a square (BBOX) knowing his max and min coordinates
	:param latMin: min latitude of the BBOx
	:param latMax: max latitude of the BBOx
	:param longMin: max longitude of the BBOx
	:param longMax: max longitude of the BBOx
	:param lat: the latitude of the point to verified
	:param long: the longitude of the point to be verified
	:return: bool
	# Assuming you have a Article Model like this
	# class Article(models.Model):
	# ... Some field
	# media = models.FileField(upload_to="path_to_inner_media_folder", blank=True)

	from django.core.files.base import ContentFile
	import os

	# Create an article with the associated model
	new_article = Article()
	container_commands:
	01_makemigrations:
	command: "python manage.py makemigrations"
	leader_only: true
	02_migrate:
	command: "python manage.py migrate"
	leader_only: true
	# Patch the current version, circular imports cause an ImportError (see https://github.com/Koed00/django-q/issues/331)
	03_patch_django_q:
	# Replace line 12 ('from django_q.cluster import worker, monitor') by 'from django_q.cluster import *'