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/*
 This sketch is an adaptation from Sighack's Gcode Export
 Blog post: https://sighack.com/post/processing-boilerplate-with-gcode-export
 
 Depends on http://www.ricardmarxer.com/geomerative/
 
 TODO: 
 [ ] Select directory dialog
 [ ] Check file extension

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#!/usr/bin/env python

"""
    Demo Thumbnail Grid Image Viewer
    Displays image files from a folder.
    Based on https://github.com/PySimpleGUI/PySimpleGUI/blob/master/DemoPrograms/Demo_PNG_Thumbnail_Viewer.py
"""

from pathlib import Path
import io

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from io import BytesIO

import PySimpleGUI as sg
import cairosvg

# This didn't work with the example file in this gist (the raster background didn't show up)
svg_content = '<svg xmlns="http://www.w3.org/2000/svg" width="100" height="100"><rect x="10" y="10" width="80" height="80"/></svg>'
# filename = 'NdPAbril2.svg'   
# with open(filename, 'r') as f:
#     svg_content = f.read()

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''' Read and parse SVG files returning a shapely GeometryCollection containing the paths and primitives found.
Transforms are applied and all shapes are returned in the SVG root elements coordinate space. Primitives (rect,
circle and ellipse) are converted to equivalent paths, and only shape outlines are rendered, stroke properties
have no affect and are discarded. 

Curved paths (arc and bezier commands and rounded rect, ellipse and circle elements) are linearized using a 
naive approach that attempts to create enough segments to reduce maximum distance to the curve to below a 
certain threshold, although this is probably not very efficient and most likely implemented in a fairly
broken way.'''

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Processing Community Day Brasil 2022

Introdução à programação criativa com Python

Alexandre B A Villares - https://abav.lugaralgum.com - @villares@ciberlandia.pt

Minhas ferramentas prediletas:

• py5 - https://py5coding.org (instruções para instalar: https://abav.lugaralgum.com/como-instalar-py5 )
• pyp5js - https://berinhard.github.io/pyp5js

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# You need to install py5 (py5coding.org) and use "imported mode" feeding this code to run_sketch.py
# Learn more at https://abav.lugaralgum.com/como-instalar-py5/index-EN.html

def setup():
    global seed
    size(800, 300, P3D)
    frame_rate(10)
    seed = 26876  # novaSemente()

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import cv2
from PIL import Image
import numpy as np
import PySimpleGUI as sg

"""
    Interesting program that shows your webcam's image as ASCII text.  Runs in realtime, producing a stream of
    images so that it is actually animated ASCII text. Wild stuff that came about from a post on Reddit of all
    places.  The software bits that turn the image into ASCII text were shamelessly taken from this gist:
    https://gist.github.com/cdiener/10491632

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import py5
import PySimpleGUI as sg

bg = True
values = {'-Text-': '', '-Hue-': 0, '-BG-': False}

def setup():
    global window
    py5.size(600, 600)
    py5.color_mode(py5.HSB)

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import csv
from urllib.request import Request, urlopen

# I used the publish feature from a Google Spreadsheet
url = "https://docs.google.com/spreadsheets/d/e/2PACX-1vT7etkg--Axh_CJlmZdlJ3rrE71rZ10kNQpbqUr8rcPL8WLNepgaIJMN6ZbUHbscjBv014rjaB9Qkwy/pub?gid=0&single=true&output=csv"  # change to your own!

response = urlopen(Request(url))
content = response.read().decode('utf-8')
data = csv.DictReader(content.splitlines())
cols = data.fieldnames

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import PIL.Image
import io


def image_as_png_bytes(file_path, resize=None):
    """
    Open an image file and convert it into PNG formated bytes, resize optional.
    Return tuple (bytes, <dict from PIL.Image.info>)
    """
    img = PIL.Image.open(file_path)