TecGPT / shared_utils /advanced_markdown_format.py
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import markdown
import re
import os
import math
from textwrap import dedent
from functools import lru_cache
from pymdownx.superfences import fence_code_format
from latex2mathml.converter import convert as tex2mathml
from shared_utils.config_loader import get_conf as get_conf
from shared_utils.text_mask import apply_gpt_academic_string_mask
markdown_extension_configs = {
"mdx_math": {
"enable_dollar_delimiter": True,
"use_gitlab_delimiters": False,
},
}
code_highlight_configs = {
"pymdownx.superfences": {
"css_class": "codehilite",
"custom_fences": [
{"name": "mermaid", "class": "mermaid", "format": fence_code_format}
],
},
"pymdownx.highlight": {
"css_class": "codehilite",
"guess_lang": True,
# 'auto_title': True,
# 'linenums': True
},
}
code_highlight_configs_block_mermaid = {
"pymdownx.superfences": {
"css_class": "codehilite",
# "custom_fences": [
# {"name": "mermaid", "class": "mermaid", "format": fence_code_format}
# ],
},
"pymdownx.highlight": {
"css_class": "codehilite",
"guess_lang": True,
# 'auto_title': True,
# 'linenums': True
},
}
def tex2mathml_catch_exception(content, *args, **kwargs):
try:
content = tex2mathml(content, *args, **kwargs)
except:
content = content
return content
def replace_math_no_render(match):
content = match.group(1)
if "mode=display" in match.group(0):
content = content.replace("\n", "</br>")
return f'<font color="#00FF00">$$</font><font color="#FF00FF">{content}</font><font color="#00FF00">$$</font>'
else:
return f'<font color="#00FF00">$</font><font color="#FF00FF">{content}</font><font color="#00FF00">$</font>'
def replace_math_render(match):
content = match.group(1)
if "mode=display" in match.group(0):
if "\\begin{aligned}" in content:
content = content.replace("\\begin{aligned}", "\\begin{array}")
content = content.replace("\\end{aligned}", "\\end{array}")
content = content.replace("&", " ")
content = tex2mathml_catch_exception(content, display="block")
return content
else:
return tex2mathml_catch_exception(content)
def markdown_bug_hunt(content):
"""
解决一个mdx_math的bug(单$包裹begin命令时多余<script>)
"""
content = content.replace(
'<script type="math/tex">\n<script type="math/tex; mode=display">',
'<script type="math/tex; mode=display">',
)
content = content.replace("</script>\n</script>", "</script>")
return content
def is_equation(txt):
"""
判定是否为公式 | 测试1 写出洛伦兹定律,使用tex格式公式 测试2 给出柯西不等式,使用latex格式 测试3 写出麦克斯韦方程组
"""
if "```" in txt and "```reference" not in txt:
return False
if "$" not in txt and "\\[" not in txt:
return False
mathpatterns = {
r"(?<!\\|\$)(\$)([^\$]+)(\$)": {"allow_multi_lines": False}, #  $...$
r"(?<!\\)(\$\$)([^\$]+)(\$\$)": {"allow_multi_lines": True}, # $$...$$
r"(?<!\\)(\\\[)(.+?)(\\\])": {"allow_multi_lines": False}, # \[...\]
# r'(?<!\\)(\\\()(.+?)(\\\))': {'allow_multi_lines': False}, # \(...\)
# r'(?<!\\)(\\begin{([a-z]+?\*?)})(.+?)(\\end{\2})': {'allow_multi_lines': True}, # \begin...\end
# r'(?<!\\)(\$`)([^`]+)(`\$)': {'allow_multi_lines': False}, # $`...`$
}
matches = []
for pattern, property in mathpatterns.items():
flags = re.ASCII | re.DOTALL if property["allow_multi_lines"] else re.ASCII
matches.extend(re.findall(pattern, txt, flags))
if len(matches) == 0:
return False
contain_any_eq = False
illegal_pattern = re.compile(r"[^\x00-\x7F]|echo")
for match in matches:
if len(match) != 3:
return False
eq_canidate = match[1]
if illegal_pattern.search(eq_canidate):
return False
else:
contain_any_eq = True
return contain_any_eq
def fix_markdown_indent(txt):
# fix markdown indent
if (" - " not in txt) or (". " not in txt):
# do not need to fix, fast escape
return txt
# walk through the lines and fix non-standard indentation
lines = txt.split("\n")
pattern = re.compile(r"^\s+-")
activated = False
for i, line in enumerate(lines):
if line.startswith("- ") or line.startswith("1. "):
activated = True
if activated and pattern.match(line):
stripped_string = line.lstrip()
num_spaces = len(line) - len(stripped_string)
if (num_spaces % 4) == 3:
num_spaces_should_be = math.ceil(num_spaces / 4) * 4
lines[i] = " " * num_spaces_should_be + stripped_string
return "\n".join(lines)
FENCED_BLOCK_RE = re.compile(
dedent(
r"""
(?P<fence>^[ \t]*(?:~{3,}|`{3,}))[ ]* # opening fence
((\{(?P<attrs>[^\}\n]*)\})| # (optional {attrs} or
(\.?(?P<lang>[\w#.+-]*)[ ]*)? # optional (.)lang
(hl_lines=(?P<quot>"|')(?P<hl_lines>.*?)(?P=quot)[ ]*)?) # optional hl_lines)
\n # newline (end of opening fence)
(?P<code>.*?)(?<=\n) # the code block
(?P=fence)[ ]*$ # closing fence
"""
),
re.MULTILINE | re.DOTALL | re.VERBOSE,
)
def get_line_range(re_match_obj, txt):
start_pos, end_pos = re_match_obj.regs[0]
num_newlines_before = txt[: start_pos + 1].count("\n")
line_start = num_newlines_before
line_end = num_newlines_before + txt[start_pos:end_pos].count("\n") + 1
return line_start, line_end
def fix_code_segment_indent(txt):
lines = []
change_any = False
txt_tmp = txt
while True:
re_match_obj = FENCED_BLOCK_RE.search(txt_tmp)
if not re_match_obj:
break
if len(lines) == 0:
lines = txt.split("\n")
# 清空 txt_tmp 对应的位置方便下次搜索
start_pos, end_pos = re_match_obj.regs[0]
txt_tmp = txt_tmp[:start_pos] + " " * (end_pos - start_pos) + txt_tmp[end_pos:]
line_start, line_end = get_line_range(re_match_obj, txt)
# 获取公共缩进
shared_indent_cnt = 1e5
for i in range(line_start, line_end):
stripped_string = lines[i].lstrip()
num_spaces = len(lines[i]) - len(stripped_string)
if num_spaces < shared_indent_cnt:
shared_indent_cnt = num_spaces
# 修复缩进
if (shared_indent_cnt < 1e5) and (shared_indent_cnt % 4) == 3:
num_spaces_should_be = math.ceil(shared_indent_cnt / 4) * 4
for i in range(line_start, line_end):
add_n = num_spaces_should_be - shared_indent_cnt
lines[i] = " " * add_n + lines[i]
if not change_any: # 遇到第一个
change_any = True
if change_any:
return "\n".join(lines)
else:
return txt
def markdown_convertion_for_file(txt):
"""
将Markdown格式的文本转换为HTML格式。如果包含数学公式,则先将公式转换为HTML格式。
"""
pre = '<div class="markdown-body">'
suf = "</div>"
if txt.startswith(pre) and txt.endswith(suf):
# print('警告,输入了已经经过转化的字符串,二次转化可能出问题')
return txt # 已经被转化过,不需要再次转化
find_equation_pattern = r'<script type="math/tex(?:.*?)>(.*?)</script>'
txt = fix_markdown_indent(txt)
# convert everything to html format
split = markdown.markdown(text="---")
convert_stage_1 = markdown.markdown(
text=txt,
extensions=[
"sane_lists",
"tables",
"mdx_math",
"pymdownx.superfences",
"pymdownx.highlight",
],
extension_configs={**markdown_extension_configs, **code_highlight_configs},
)
convert_stage_1 = markdown_bug_hunt(convert_stage_1)
# 2. convert to rendered equation
convert_stage_2_2, n = re.subn(
find_equation_pattern, replace_math_render, convert_stage_1, flags=re.DOTALL
)
# cat them together
return pre + convert_stage_2_2 + suf
@lru_cache(maxsize=128) # 使用 lru缓存 加快转换速度
def markdown_convertion(txt):
"""
将Markdown格式的文本转换为HTML格式。如果包含数学公式,则先将公式转换为HTML格式。
"""
pre = '<div class="markdown-body">'
suf = "</div>"
if txt.startswith(pre) and txt.endswith(suf):
# print('警告,输入了已经经过转化的字符串,二次转化可能出问题')
return txt # 已经被转化过,不需要再次转化
find_equation_pattern = r'<script type="math/tex(?:.*?)>(.*?)</script>'
txt = fix_markdown_indent(txt)
# txt = fix_code_segment_indent(txt)
if is_equation(txt): # 有$标识的公式符号,且没有代码段```的标识
# convert everything to html format
split = markdown.markdown(text="---")
convert_stage_1 = markdown.markdown(
text=txt,
extensions=[
"sane_lists",
"tables",
"mdx_math",
"pymdownx.superfences",
"pymdownx.highlight",
],
extension_configs={**markdown_extension_configs, **code_highlight_configs},
)
convert_stage_1 = markdown_bug_hunt(convert_stage_1)
# 1. convert to easy-to-copy tex (do not render math)
convert_stage_2_1, n = re.subn(
find_equation_pattern,
replace_math_no_render,
convert_stage_1,
flags=re.DOTALL,
)
# 2. convert to rendered equation
convert_stage_2_2, n = re.subn(
find_equation_pattern, replace_math_render, convert_stage_1, flags=re.DOTALL
)
# cat them together
return pre + convert_stage_2_1 + f"{split}" + convert_stage_2_2 + suf
else:
return (
pre
+ markdown.markdown(
txt,
extensions=[
"sane_lists",
"tables",
"pymdownx.superfences",
"pymdownx.highlight",
],
extension_configs=code_highlight_configs,
)
+ suf
)
def close_up_code_segment_during_stream(gpt_reply):
"""
在gpt输出代码的中途(输出了前面的```,但还没输出完后面的```),补上后面的```
Args:
gpt_reply (str): GPT模型返回的回复字符串。
Returns:
str: 返回一个新的字符串,将输出代码片段的“后面的```”补上。
"""
if "```" not in gpt_reply:
return gpt_reply
if gpt_reply.endswith("```"):
return gpt_reply
# 排除了以上两个情况,我们
segments = gpt_reply.split("```")
n_mark = len(segments) - 1
if n_mark % 2 == 1:
return gpt_reply + "\n```" # 输出代码片段中!
else:
return gpt_reply
def special_render_issues_for_mermaid(text):
# 用不太优雅的方式处理一个core_functional.py中出现的mermaid渲染特例:
# 我不希望"总结绘制脑图"prompt中的mermaid渲染出来
@lru_cache(maxsize=1)
def get_special_case():
from core_functional import get_core_functions
special_case = get_core_functions()["总结绘制脑图"]["Suffix"]
return special_case
if text.endswith(get_special_case()): text = text.replace("```mermaid", "```")
return text
def compat_non_markdown_input(text):
"""
改善非markdown输入的显示效果,例如将空格转换为&nbsp;,将换行符转换为</br>等。
"""
if "```" in text:
# careful input:markdown输入
text = special_render_issues_for_mermaid(text) # 处理特殊的渲染问题
return text
elif "</div>" in text:
# careful input:html输入
return text
else:
# whatever input:非markdown输入
lines = text.split("\n")
for i, line in enumerate(lines):
lines[i] = lines[i].replace(" ", "&nbsp;") # 空格转换为&nbsp;
text = "</br>".join(lines) # 换行符转换为</br>
return text
@lru_cache(maxsize=128) # 使用lru缓存
def simple_markdown_convertion(text):
pre = '<div class="markdown-body">'
suf = "</div>"
if text.startswith(pre) and text.endswith(suf):
return text # 已经被转化过,不需要再次转化
text = compat_non_markdown_input(text) # 兼容非markdown输入
text = markdown.markdown(
text,
extensions=["pymdownx.superfences", "tables", "pymdownx.highlight"],
extension_configs=code_highlight_configs,
)
return pre + text + suf
def format_io(self, y):
"""
将输入和输出解析为HTML格式。将y中最后一项的输入部分段落化,并将输出部分的Markdown和数学公式转换为HTML格式。
"""
if y is None or y == []:
return []
i_ask, gpt_reply = y[-1]
i_ask = apply_gpt_academic_string_mask(i_ask, mode="show_render")
gpt_reply = apply_gpt_academic_string_mask(gpt_reply, mode="show_render")
# 当代码输出半截的时候,试着补上后个```
if gpt_reply is not None:
gpt_reply = close_up_code_segment_during_stream(gpt_reply)
# 处理提问与输出
y[-1] = (
# 输入部分
None if i_ask is None else simple_markdown_convertion(i_ask),
# 输出部分
None if gpt_reply is None else markdown_convertion(gpt_reply),
)
return y