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Bienvenue sur le site de "Services Paysages du Frontonnais"

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#!/usr/bin/env python3

'''
Fetch and decode the links from a subreddit when they are encoded in base64 (until 3 pass)  

Installation:
    You need python 3.8 installed
    
    Save the pastebin as a file i.e "redscrape.py" and open a terminal where the file is located 
    > python3 -m venv . # On Mac

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Manually Searching OpenDirectories on Google

For videos/movies/tvshows :

intext:\"Search Term\" intitle:\"index.of\" +(wmv|mpg|avi|mp4|mkv|mov) -inurl:(jsp|pl|php|html|aspx|htm|cf|shtml)

Images :

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What is it ?

CALISHOT is a specialised search engine to unearth books on open calibre servers.

It allows you to search ebooks in full text across them or to browse the database by facets: authors, language, year, series, tags ... You can even run your own queries in SQL.

Where is this ?

These servers are often up and down so, for now, the data are regularly updated and new snasphots are posted on ...

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CALISHOT deployment instructions

You need a recent installation of python (3.x)

1. Install poetry, datasette and its plugins

poetry new calishot
poetry shell
poetry add datasette

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import requests
from tqdm import tqdm

def download_from_url(url, dst):
    """
    @param: url to download file
    @param: dst place to put the file
    """
    file_size = int(urlopen(url).info().get('Content-Length', -1))
    if os.path.exists(dst):

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#!/usr/bin/env python3

'''
calisuck: index, filter-out smartly and download ebooks from Calibre open directories

Installation:

    You need python 3.5 installed

    Download the file as a zip and unzip-it and get into the dir

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Download HumbleBundle books

This is a quick Python script I wrote to download HumbleBundle books in batch. I bought the amazing Machine Learning by O'Reilly bundle. There were 15 books to download, with 3 different file formats per book. So I scratched a quick script to download all of them in batch.

(Final Result: books downloaded)

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import requests
import json
import os
import humanfriendly

server='http://207.244.104.206:8080/'
max_size=0
#max_size=10*1024*1024

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import requests
import json
import os
import time

# - traiter les formats en stockant le hash du fichier
# - capturer les exceptions
# - mettre un cli
# - autoriser 3 modes: update metadata, update file et append filename
# - une query pou la recheche exemple http://localhost:8080/ajax/search?sort=id&sort_order=desc