TestInferenceAPI / utils.py
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from __future__ import annotations
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Tuple, Type
import logging
import json
import os
import datetime
import hashlib
import csv
import requests
import re
import html
import markdown2
import torch
import sys
import gc
from pygments.lexers import guess_lexer, ClassNotFound
import gradio as gr
from pypinyin import lazy_pinyin
import tiktoken
import mdtex2html
from markdown import markdown
from pygments import highlight
from pygments.lexers import guess_lexer,get_lexer_by_name
from pygments.formatters import HtmlFormatter
from beschreibungen import *
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s [%(levelname)s] [%(filename)s:%(lineno)d] %(message)s",
)
def markdown_to_html_with_syntax_highlight(md_str):
def replacer(match):
lang = match.group(1) or "text"
code = match.group(2)
lang = lang.strip()
#print(1,lang)
if lang=="text":
lexer = guess_lexer(code)
lang = lexer.name
#print(2,lang)
try:
lexer = get_lexer_by_name(lang, stripall=True)
except ValueError:
lexer = get_lexer_by_name("python", stripall=True)
formatter = HtmlFormatter()
#print(3,lexer.name)
highlighted_code = highlight(code, lexer, formatter)
return f'<pre><code class="{lang}">{highlighted_code}</code></pre>'
code_block_pattern = r"```(\w+)?\n([\s\S]+?)\n```"
md_str = re.sub(code_block_pattern, replacer, md_str, flags=re.MULTILINE)
html_str = markdown(md_str)
return html_str
def normalize_markdown(md_text: str) -> str:
lines = md_text.split("\n")
normalized_lines = []
inside_list = False
for i, line in enumerate(lines):
if re.match(r"^(\d+\.|-|\*|\+)\s", line.strip()):
if not inside_list and i > 0 and lines[i - 1].strip() != "":
normalized_lines.append("")
inside_list = True
normalized_lines.append(line)
elif inside_list and line.strip() == "":
if i < len(lines) - 1 and not re.match(
r"^(\d+\.|-|\*|\+)\s", lines[i + 1].strip()
):
normalized_lines.append(line)
continue
else:
inside_list = False
normalized_lines.append(line)
return "\n".join(normalized_lines)
def convert_mdtext(md_text):
code_block_pattern = re.compile(r"```(.*?)(?:```|$)", re.DOTALL)
inline_code_pattern = re.compile(r"`(.*?)`", re.DOTALL)
code_blocks = code_block_pattern.findall(md_text)
non_code_parts = code_block_pattern.split(md_text)[::2]
result = []
for non_code, code in zip(non_code_parts, code_blocks + [""]):
if non_code.strip():
non_code = normalize_markdown(non_code)
if inline_code_pattern.search(non_code):
result.append(markdown(non_code, extensions=["tables"]))
else:
result.append(mdtex2html.convert(non_code, extensions=["tables"]))
if code.strip():
code = f"\n```{code}\n\n```"
code = markdown_to_html_with_syntax_highlight(code)
result.append(code)
result = "".join(result)
result += ALREADY_CONVERTED_MARK
return result
def convert_asis(userinput):
return f"<p style=\"white-space:pre-wrap;\">{html.escape(userinput)}</p>"+ALREADY_CONVERTED_MARK
def detect_converted_mark(userinput):
if userinput.endswith(ALREADY_CONVERTED_MARK):
return True
else:
return False
def detect_language(code):
if code.startswith("\n"):
first_line = ""
else:
first_line = code.strip().split("\n", 1)[0]
language = first_line.lower() if first_line else ""
code_without_language = code[len(first_line) :].lstrip() if first_line else code
return language, code_without_language
def convert_to_markdown(text):
text = text.replace("$","&#36;")
def replace_leading_tabs_and_spaces(line):
new_line = []
for char in line:
if char == "\t":
new_line.append("&#9;")
elif char == " ":
new_line.append("&nbsp;")
else:
break
return "".join(new_line) + line[len(new_line):]
markdown_text = ""
lines = text.split("\n")
in_code_block = False
for line in lines:
if in_code_block is False and line.startswith("```"):
in_code_block = True
markdown_text += f"{line}\n"
elif in_code_block is True and line.startswith("```"):
in_code_block = False
markdown_text += f"{line}\n"
elif in_code_block:
markdown_text += f"{line}\n"
else:
line = replace_leading_tabs_and_spaces(line)
line = re.sub(r"^(#)", r"\\\1", line)
markdown_text += f"{line} \n"
return markdown_text
def add_language_tag(text):
def detect_language(code_block):
try:
lexer = guess_lexer(code_block)
return lexer.name.lower()
except ClassNotFound:
return ""
code_block_pattern = re.compile(r"(```)(\w*\n[^`]+```)", re.MULTILINE)
def replacement(match):
code_block = match.group(2)
if match.group(2).startswith("\n"):
language = detect_language(code_block)
if language:
return f"```{language}{code_block}```"
else:
return f"```\n{code_block}```"
else:
return match.group(1) + code_block + "```"
text2 = code_block_pattern.sub(replacement, text)
return text2
def delete_last_conversation(chatbot, history):
if len(chatbot) > 0:
chatbot.pop()
if len(history) > 0:
history.pop()
return (
chatbot,
history,
"Delete Done",
)
def reset_state():
return [], [], "Reset Done"
def reset_textbox():
return gr.update(value=""),""
def cancel_outputing():
return "Stop Done"
class State:
interrupted = False
def interrupt(self):
self.interrupted = True
def recover(self):
self.interrupted = False
shared_state = State()
def is_stop_word_or_prefix(s: str, stop_words: list) -> bool:
for stop_word in stop_words:
if s.endswith(stop_word):
return True
for i in range(1, len(stop_word)):
if s.endswith(stop_word[:i]):
return True
return False