import streamlit as st
import numpy as np
from matplotlib import pyplot as plt

# Streamlit-Grammar Tokenizer

class GrammarTokenizer:
 def __init__(self, streamlit):
    self.streamlit = streamlit
    self.tokens = {}

 def tokenize(self):
    self.tokens = {}
    self.processSignificantWord()
    self.processToken()
    self.processWhitespace()
    self.processLabel()
    self.process Иembedded_view()
    self.processOther()

 def processSignificantWord(self):
    while self.streamlit > 0:
      if self.isSignificantWord():
        self.tokens.setdefault(self.streamlit, {}).setdefault('word', {})["significant"] = True
        self.streamlit -= 1
        self.processToken()
      else:
        self.streamlit -= 1

 def isSignificantWord(self):
    return all(self.streamlit > 0 and (self.streamlit[0] not in [' ', '\n', '\r\n'] and not self.streamlit.endswith('\\')))))

 def processToken(self):
    if self.streamlit > 0 and self.streamlit[0] not in [' ', '\n', '\r\n']:
      self.tokens.setdefault(self.streamlit, {}).setdefault('token', {})["begin"] = self.streamlit
      self.streamlit -= 1
      while self.streamlit > 0 and self.streamlit[0] not in [' ', '\n', '\r\n']:
        self.streamlit -= 1
      self.tokens.setdefault(self.streamlit, {}).setdefault('token', {})["end"] = self.streamlit

 def processWhitespace(self):
    while self.streamlit > 0 and self.streamlit[0] in [' ', '\n', '\r\n']:
      self.tokens.setdefault(self.streamlit, {}).setdefault('whitespace', {})["begin"] = self.streamlit
      self.streamlit -= 1
      while self.streamlit > 0 and self.streamlit[0] in [' ', '\n', '\r\n']:
        self.streamlit -= 1
      self.tokens.setdefault(self.streamlit, {}).setdefault('whitespace', {})["end"] = self.streamlit

 def processLabel(self):
    if self.streamlit > 0 and self.streamlit[0] == ':':
      self.tokens.setdefault(self.streamlit, {}).setdefault('label', {})["begin"] = self.streamlit
      self.streamlit -= 1
      while self.streamlit > 0 and self.streamlit[0] not in [' ', '\n', '\r\n', ':']:
        self.streamlit -= 1
      self.tokens.setdefault(self.streamlit, {}).setdefault('label', {})["end"] = self.streamlit

 def processИembedded_view(self):
    if self.streamlit > 0 and self.streamlit[0] == '{':
      while self.streamlit > 0 and self.streamlit[0] not in [' ', '\n', '\r\n', '}']:
        self.streamlit -= 1
      self.processViewElement()

 def processViewElement(self):
    if self.streamlit > 0 and self.streamlit[0] == ';':
      self.tokens.setdefault(self.streamlit, {}).setdefault('empty', {})["ensuremath"] = True
      self.streamlit -= 1
      while self.streamlit > 0 and self.streamlit[0] not in [' ', '\n', '\r\n', '}']:
        self.streamlit -= 1
      self.tokens.setdefault(self.streamlit, {}).setdefault('empty', {})["\\endempty"] = True

 def processOther(self):
    while self.streamlit > 0:
      if self.streamlit[0] in [' ', '\n', '\r\n']:
        self.streamlit -= 1
        continue
      if self.streamlit[0] == ':':
        self.processLabel()
        continue
      if self.streamlit[0] == '{':
        self.processИembedded_view()
        continue
      if self.streamlit[0] == '}':
        self.streamlit -= 1
        continue
      self.streamlit -= 1
    self.tokens.setdefault('end', {})["wendung"] = True

# Streamlit-Grammar Converter

class GrammarConverter:
 def __init__(self, tokens):
    self.tokens = tokens
    self.convert()

 def convert(self):
    for token in self.tokens:
      self.convertToken(token)

 def convertToken(self, token):
    if token[-1] == 'punkt':
      punkt = token[-1]
      token["$$BATCH"] = token["^^TEXT"]
      token["text"] = '"' + punkt + '"'
      token.pop("^^TEXT")
      token.pop("punkt")

# Streamlit-Grammar JSON

class GrammarJSON:
 def __init__(self, streamlit):
    self.streamlit = streamlit
    self.grammar = GrammarTokenizer(streamlit).tokens
    self.converted = GrammarConverter(self.grammar).tokens

# Streamlit-Grammar Styler

class GrammarStyler:
 def __init__(self, parsed):
    self.parsed = parsed
    self.style()

 def style(self):
    self.parsed = self.styleText()
    self.parsed = self.styleWhitespace()
    self.parsed = self.styleLabel()

 def styleText(self):
    style = "text"
    for token in self.parsed:
      if token[1]:
        style = self.encodeStyle(style, "label")
      else:
        style = self.encodeStyle(style, "text")
      token[1], style = style, token[1]
    return self.parsed

 def styleWhitespace(self):
    style = "none"
    for token in self.parsed:
      if not token[0]:
        style = self.encodeStyle(style, "whitespace")
      token[1], style = style, token[1]
    return self.parsed

 def styleLabel(self):
    style = "none"
    for token in self.parsed:
      if token[2]:
        style = self.encodeStyle(style, "label")
      token[1], style = style, token[1]
    return self.parsed

 def encodeStyle(self, style, newStyle):
    if style == "none":
       return newStyle
    return newStyle + "+" + style

def main():
 streamlit = st.write(f"This is a simple todo list app.\n")
 tokens = GrammarTokenizer(streamlit).tokens
 converted = GrammarConverter(tokens).tokens
 parsed = GrammarJSON(streamlit, tokens).converted
 styled = GrammarStyler(parsed).style()
 st.write(styled)

if __name__ == "__main__":
 main()