Add files via upload
Creation of SVG from emotional state and polarity of parsed text from URL of choice. If nothing happens, the URL might not be parsable. Enjoy!
This commit is contained in:
GitHub
parent
512af67ff8
commit
113134eacf
2 changed files with 158 additions and 120 deletions
|
|
@ -4,7 +4,10 @@ from textblob_de import TextBlobDE
|
|||
import re
|
||||
from html.parser import HTMLParser
|
||||
import urllib.request
|
||||
from wordart.svg_vorlagen import *
|
||||
from nrclex import NRCLex
|
||||
import numpy as np
|
||||
import math
|
||||
from PIL import Image
|
||||
|
||||
|
||||
# define class HTML-Parser
|
||||
|
|
@ -28,64 +31,6 @@ class MyHTMLParser(HTMLParser):
|
|||
self.data.append(data)
|
||||
|
||||
|
||||
# define object/class for analysis
|
||||
class textforart:
|
||||
|
||||
def __init__(self, language, sentence_lens, sentences, commas, polarity):
|
||||
# Sprache
|
||||
self.language = language
|
||||
|
||||
# Satz
|
||||
if len(sentences) == 0:
|
||||
sentences = ['Hello fellow human beeing ^.^']
|
||||
self.senctences = sentences
|
||||
|
||||
# Sentence lengthes
|
||||
if len(sentence_lens) == 0:
|
||||
sentence_lens = [0]
|
||||
self.sentence_lens = sentence_lens
|
||||
|
||||
# Commas
|
||||
if len(commas) == 0:
|
||||
commas = [0]
|
||||
self.commas = commas
|
||||
|
||||
# Bewertung
|
||||
if len(polarity) == 0:
|
||||
polarity = [0]
|
||||
self.polarity = polarity
|
||||
|
||||
# Komplezität
|
||||
complexity = [0]
|
||||
self.complexity = ''
|
||||
|
||||
|
||||
# Satzlänge
|
||||
self.sentence_number = len(sentences)
|
||||
self.min_sentence_length = min(sentence_lens)
|
||||
self.max_sentence_length = max(sentence_lens)
|
||||
self.mean_sentence_length = sum(sentence_lens) / len(sentences)
|
||||
|
||||
# Kommas
|
||||
self.number_commas = len(commas)
|
||||
self.min_number_commas = min(commas)
|
||||
self.max_number_commas = max(commas)
|
||||
self.mean_number_commas = len(commas)/ len(sentences)
|
||||
|
||||
# Bewertung
|
||||
self.sum_sentences_polarity = sum(polarity)
|
||||
self.min_sentences_polarity = min(polarity)
|
||||
self.max_sentences_polarity = max(polarity)
|
||||
self.mean_sentences_polarity = sum(polarity) / len(sentences)
|
||||
|
||||
# Schätzer für Komplexität
|
||||
self.max_complexity = 0
|
||||
self.min_complexity = 0
|
||||
self.mean_complexity = 0
|
||||
|
||||
# signatur Word -> mean purpose
|
||||
self.signatur_word = ''
|
||||
|
||||
def add_svg(svg):
|
||||
|
||||
clipboard = QGuiApplication.clipboard()
|
||||
|
|
@ -94,77 +39,170 @@ def add_svg(svg):
|
|||
clipboard.setMimeData(mime_data)
|
||||
Application.action('edit_paste').trigger()
|
||||
|
||||
def create_svg(svg):
|
||||
def create_svg(svg, width, heigth):
|
||||
app = Krita.instance()
|
||||
# Document open?
|
||||
if app.activeDocument():
|
||||
#print("aktive document")
|
||||
doc = app.activeDocument()
|
||||
else:
|
||||
#print("create document")
|
||||
doc = app.createDocument(800, 600, 'SVGA Test', 'RGBA', 'U8', '', 120.0)
|
||||
app.activeWindow().addView(doc)
|
||||
doc = app.createDocument(width, heigth, 'SVGA Test', 'RGBA', 'U8', '', 120.0)
|
||||
|
||||
doc = app.createDocument(800, 600, 'SVGA Test', 'RGBA', 'U8', '', 120.0)
|
||||
app.activeWindow().addView(doc)
|
||||
layer = doc.createVectorLayer('ColorSVG')
|
||||
layer.setName('ColorSVG')
|
||||
add_svg(svg)
|
||||
|
||||
def design_svg(width, height, x, y):
|
||||
svg = f'''<?xml version="1.0" encoding="iso-8859-1"?>
|
||||
<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd">
|
||||
<svg>'''
|
||||
return(svg)
|
||||
|
||||
def design_svg2(fillcolor, width, height, x, y):
|
||||
svg = f'''<rect x="{x}" y="{y}" width="{width}" height="{height}" fill = "{fillcolor}"/>'''
|
||||
return(svg)
|
||||
|
||||
|
||||
|
||||
## make art from emotions
|
||||
def makeart(content, parser):
|
||||
|
||||
parser.feed(urllib.request.urlopen(content).read().decode())
|
||||
linkdata = parser.data
|
||||
parser = MyHTMLParser()
|
||||
parser.feed(urllib.request.urlopen(content).read().decode())
|
||||
linkdata = parser.data
|
||||
|
||||
if linkdata is not None:
|
||||
# language
|
||||
language = ''
|
||||
# language
|
||||
language = ''
|
||||
|
||||
# filtering parsed text
|
||||
text = ""
|
||||
for phrases in linkdata:
|
||||
phrases = phrases.rstrip("\n\r+0-9[]()+")
|
||||
# skip unwanted characters
|
||||
text = text + phrases
|
||||
|
||||
# create textblob
|
||||
blob = TextBlob(text)
|
||||
|
||||
# language?
|
||||
for w in blob.words:
|
||||
if re.match(r"and", w):
|
||||
language = 'en'
|
||||
elif re.match(r"und", w):
|
||||
language = 'de'
|
||||
# number of sentences
|
||||
sentencenr = 0
|
||||
|
||||
if language == 'de':
|
||||
blob = TextBlobDE(text)
|
||||
# filtering parsed text
|
||||
text = ""
|
||||
|
||||
sentence_lens = []
|
||||
commas = []
|
||||
polarity = []
|
||||
for phrases in linkdata:
|
||||
phrases = phrases.rstrip("\n\r+0-9[]()+")
|
||||
# skip unwanted characters
|
||||
text = text + phrases
|
||||
|
||||
# print polarity of sentences
|
||||
for sentence in blob.sentences:
|
||||
# length of sentences
|
||||
sentence_lens.append(len(sentence))
|
||||
# number of commas
|
||||
commas.append(len(re.findall(',', str(sentence))))
|
||||
# polarity
|
||||
polarity.append(sentence.sentiment.polarity)
|
||||
|
||||
# init new textforart object
|
||||
art = textforart(language, sentence_lens, blob.sentences, commas, polarity)
|
||||
|
||||
# make art out of object
|
||||
# fill color:#000000 # stroke color:#000000
|
||||
stroke = "rgb(" + str(round(125*(1/art.mean_number_commas))) + ", " + str(round(125 - art.min_sentences_polarity)) + ", " + str(round(125 - art.max_sentences_polarity)) + ")"
|
||||
fill = "rgb(" + str(round(125*(1/art.mean_number_commas))) + ", " + str(round(125 - art.min_sentences_polarity)) + ", " + str(round(125 - art.max_sentences_polarity)) + ")"
|
||||
|
||||
# define with of svg
|
||||
heigh = 700- (10*art.mean_sentences_polarity)
|
||||
width = 700*art.mean_number_commas
|
||||
# create textblob
|
||||
blob = TextBlob(text)
|
||||
|
||||
# language?
|
||||
for w in blob.words:
|
||||
sentencenr = sentencenr + 1
|
||||
if re.match(r"and", w):
|
||||
language = 'en'
|
||||
elif re.match(r"und", w):
|
||||
language = 'de'
|
||||
|
||||
svg = design_svg(stroke, fill, heigh, width)
|
||||
create_svg(svg)
|
||||
if language == 'de':
|
||||
blob = TextBlobDE(text)
|
||||
else:
|
||||
blob = TextBlob(text)
|
||||
|
||||
polarity = []
|
||||
|
||||
for sentence in blob.sentences:
|
||||
# polarity
|
||||
polarity.append(sentence.sentiment.polarity)
|
||||
|
||||
text_object = NRCLex('nrc_en.json')
|
||||
size = round(math.sqrt(len(linkdata)))
|
||||
i = 0 # counter for all tuples
|
||||
j = 0 # counter for resize
|
||||
|
||||
lim = 0.2
|
||||
|
||||
for sentence in blob.sentences:
|
||||
# polarity
|
||||
polarity.append(sentence.sentiment.polarity)
|
||||
|
||||
# define svg as string variable
|
||||
#svg = bytes()
|
||||
svg = design_svg(size, size, 0, 0)
|
||||
|
||||
if linkdata is not None:
|
||||
# filtering parsed text
|
||||
text = ""
|
||||
for x in range(size):
|
||||
for y in range(size):
|
||||
phrase = linkdata[j].rstrip("\n\r+0-9[]()+")
|
||||
|
||||
# skip unwanted characters
|
||||
text = text + phrase
|
||||
|
||||
# let's show the emotions
|
||||
emotion = NRCLex(phrase)
|
||||
|
||||
red = 0
|
||||
green = 0
|
||||
blue = 0
|
||||
|
||||
## calculate value for red:
|
||||
# positive-low arousal: trust, positive, surprise, joy
|
||||
if emotion.raw_emotion_scores.get('trust'):
|
||||
red = red + (100*3.137*emotion.raw_emotion_scores['trust'])
|
||||
if emotion.raw_emotion_scores.get('joy'):
|
||||
red = red + (100*3.137*emotion.raw_emotion_scores['joy'])
|
||||
if emotion.raw_emotion_scores.get('surprise'):
|
||||
red = red + (100*3.137*emotion.raw_emotion_scores['surprise'])
|
||||
|
||||
## calculate value for blue:
|
||||
# negative-high arousal: fear, anger, sadness
|
||||
if emotion.raw_emotion_scores.get('fear'):
|
||||
blue = blue + (100*1.961*emotion.raw_emotion_scores['fear'])
|
||||
if emotion.raw_emotion_scores.get('anger'):
|
||||
blue = blue + (100*1.961*emotion.raw_emotion_scores['anger'])
|
||||
if emotion.raw_emotion_scores.get('sadness'):
|
||||
blue = blue + (100*1.961*emotion.raw_emotion_scores['sadness'])
|
||||
|
||||
## calculate value for green: anticip, disgust, negative
|
||||
if emotion.raw_emotion_scores.get('anticip'):
|
||||
green = green + (100*1.176*emotion.raw_emotion_scores['anticip'])
|
||||
if emotion.raw_emotion_scores.get('disgust'):
|
||||
green = green + (100*1.176*emotion.raw_emotion_scores['disgust'])
|
||||
if emotion.raw_emotion_scores.get('negative'):
|
||||
green = green + (10*1.176*emotion.raw_emotion_scores['negative'])
|
||||
|
||||
## now adding the polarity
|
||||
if polarity[j] < -1*float(lim):
|
||||
red = red + (100*3.137*polarity[j])
|
||||
elif polarity[j] > float(lim):
|
||||
blue = blue + (100*1.961*polarity[j])
|
||||
else:
|
||||
green = green + (100*1.176*polarity[j])
|
||||
|
||||
## make sure every color is max 250
|
||||
if red > 255:
|
||||
red = 255
|
||||
|
||||
if green > 255:
|
||||
green = 255
|
||||
|
||||
if blue > 255:
|
||||
blue = 255
|
||||
|
||||
## calculate Color
|
||||
rgbcolor = "rgb(" + str(round(red)) + ", " + str(round(green)) + ", " + str(round(blue)) + ")"
|
||||
|
||||
# create svg
|
||||
svg_part = design_svg2(rgbcolor, 10, 10, x, y)
|
||||
svg = svg + svg_part
|
||||
|
||||
# reset counter
|
||||
try:
|
||||
polarity[j + 1]
|
||||
j = j + 1
|
||||
except IndexError:
|
||||
j = 0
|
||||
|
||||
|
||||
svg_end = f'''</svg>'''
|
||||
svg = svg + svg_end
|
||||
|
||||
create_svg(svg.encode('utf-8'), size, size)
|
||||
#f = open("/tmp/test.svg", "w")
|
||||
#f.write(str(svg.encode('utf-8')))
|
||||
#f.write(svg)
|
||||
|
|
|
|||
|
|
@ -10,7 +10,7 @@ from PyQt5.QtCore import *
|
|||
from html.parser import HTMLParser
|
||||
import urllib.request
|
||||
from wordart.classes import *
|
||||
from wordart.svg_vorlagen import *
|
||||
#from wordart.svg_vorlagen import *
|
||||
|
||||
# define class HTML-Parser
|
||||
class MyHTMLParser(HTMLParser):
|
||||
|
|
@ -69,11 +69,11 @@ class DockerLinkGrepper(DockWidget):
|
|||
clicked = 'Button clicked'
|
||||
|
||||
#add a checkbox
|
||||
newCheckbox = QCheckBox()
|
||||
newCheckbox.setText('realise input')
|
||||
layoutForButtons.addWidget(newCheckbox)
|
||||
#newCheckbox = QCheckBox()
|
||||
#newCheckbox.setText('realise input')
|
||||
#layoutForButtons.addWidget(newCheckbox)
|
||||
mainWidget.setLayout(layoutForButtons)
|
||||
mainWidget.layout().addWidget(newButton)
|
||||
#mainWidget.layout().addWidget(newButton)
|
||||
|
||||
#newButton.clicked.connect(lambda: newCheckbox.setCheckState(2))
|
||||
newButton.clicked.connect(lambda: newButtonIsClicked())
|
||||
|
|
@ -91,13 +91,13 @@ class DockerLinkGrepper(DockWidget):
|
|||
def newButtonIsClicked():
|
||||
# text = 'Welcome fellow human beeing ^.^
|
||||
# aktivate Checkbox if input is done
|
||||
newCheckbox.setCheckState(2)
|
||||
#newCheckbox.setCheckState(2)
|
||||
if line.text():
|
||||
parser = MyHTMLParser()
|
||||
makeart(line.text(), parser)
|
||||
|
||||
else:
|
||||
newCheckbox.setCheckState(1)
|
||||
#else:
|
||||
#newCheckbox.setCheckState(1)
|
||||
|
||||
|
||||
def canvasChanged(self, canvas):
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue