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# coding: utf-8
# Barcode scanner demo for Pythonista
# Based on http://www.infragistics.com/community/blogs/torrey-betts/archive/2013/10/10/scanning-barcodes-with-ios-7-objective-c.aspx

from objc_util import *
from ctypes import c_void_p
import ui
import sound

found_codes = set()

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'''
This module provides a Python wrapper around CIImage and CIFilter for using CoreImage filters from Pythonista more easily.

How to use:

1) Create a CImage object. The constructor accepts either a file path, a ui.Image, PIL.Image.Image, or photos.Asset object. Example:

>>> # From a photo:
>>> img = CImage(photos.pick_asset())
>>> # From a ui.Image:

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# FontInstaller (by @olemoritz)

# This script installs a custom TTF font on iOS (system-wide).
# It can be used in one of two ways:

# 1. Simply run it in Pythonista, you'll be prompted for the URL of the font 
#    you'd like to install (if there's a URL in the clipboard, it'll be used by default)

# 2. Use it as an 'Open in...' handler, i.e. select this file in Pythonista's 'Open in...
#    menu' setting. This way, you can simply download a ttf file in Safari and open it in

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# File Transfer for Pythonista
# ============================
# This script allows you to transfer Python files from
# and to Pythonista via local Wifi.
# It starts a basic HTTP server that you can access
# as a web page from your browser.
# When you upload a file that already exists, it is
# renamed automatically.
# From Pythonista's settings, you can add this script
# to the actions menu of the editor for quick access.

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#!python3
'''
This is a demo of how you can use the CoreML framework (via objc_util) to classify images in Pythonista. It downloads the trained 'MobileNet' CoreML model from the Internet, and uses it to classify images that are either taken with the camera, or picked from the photo library.
'''

import requests
import os
import io
import photos
import dialogs

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import SimpleHTTPServer
import SocketServer
import webbrowser
import os
os.chdir('/')
Handler = SimpleHTTPServer.SimpleHTTPRequestHandler
httpd = SocketServer.TCPServer(("", 0), Handler)
port = httpd.server_address[1]
webbrowser.open('http://localhost:' + str(port), stop_when_done=True)
httpd.serve_forever()

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# Quick-and-dirty demo of how to run multiple scenes
# in Pythonista; The MultiScene class is basically a
# wrapper for another scene and forwards all events
# to the currently-active scene, which can be changed
# with the switch_scene method.
# 
# In this example, the first scene simply draws a red
# background and switches to the second scene when a
# touch is detected. The second scene draws a green
# background and plays a beep sound on touch.

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# coding: utf-8
import ui
import os
from objc_util import ObjCInstance, ObjCClass
from operator import attrgetter
import time
import threading
import functools
import ftplib
import re

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# YOU NEED TO INSERT YOUR APP KEY AND SECRET BELOW!
# Go to dropbox.com/developers/apps to create an app.

app_key = 'YOUR_APP_KEY'
app_secret = 'YOUR_APP_SECRET'

# access_type can be 'app_folder' or 'dropbox', depending on
# how you registered your app.
access_type = 'app_folder'

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#!/usr/bin/env python

"""
This script converts a Glassboard HTML archive to JSON.

Usage:
python glassboard2json.py glassboard_export/index.html -o output_file.json

Requirement: BeautifulSoup4 (bs4)