镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 14:36:48 +00:00
fix code block display bug
这个提交包含在:
@@ -13,7 +13,7 @@ scipdf_parser>=0.52
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spacy==3.7.4
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anthropic>=0.18.1
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python-markdown-math
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pymdown-extensions
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pymdown-extensions>=10.14
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websocket-client
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beautifulsoup4
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prompt_toolkit
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@@ -385,6 +385,24 @@ def markdown_convertion(txt):
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)
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def code_block_title_replace_format(match):
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lang = match.group(1)
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filename = match.group(2)
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return f"```{lang} {{title=\"{filename}\"}}\n"
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def get_last_backticks_indent(text):
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# 从后向前查找最后一个 ```
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lines = text.splitlines()
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for line in reversed(lines):
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if '```' in line:
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# 计算前面的空格数量
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indent = len(line) - len(line.lstrip())
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return indent
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return 0 # 如果没找到返回0
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@lru_cache(maxsize=16) # 使用lru缓存
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def close_up_code_segment_during_stream(gpt_reply):
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"""
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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```
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@@ -398,6 +416,12 @@ def close_up_code_segment_during_stream(gpt_reply):
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"""
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if "```" not in gpt_reply:
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return gpt_reply
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# replace [```python:warp.py] to [```python {title="warp.py"}]
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pattern = re.compile(r"```([a-z]{1,12}):([^:\n]{1,35}\.([a-zA-Z^:\n]{1,3}))\n")
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if pattern.search(gpt_reply):
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gpt_reply = pattern.sub(code_block_title_replace_format, gpt_reply)
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if gpt_reply.endswith("```"):
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return gpt_reply
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@@ -405,7 +429,11 @@ def close_up_code_segment_during_stream(gpt_reply):
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segments = gpt_reply.split("```")
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n_mark = len(segments) - 1
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if n_mark % 2 == 1:
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return gpt_reply + "\n```" # 输出代码片段中!
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try:
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num_padding = get_last_backticks_indent(gpt_reply)
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except:
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num_padding = 0
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return gpt_reply + "\n" + " "*num_padding + "```" # 输出代码片段中!
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else:
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return gpt_reply
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@@ -20,7 +20,7 @@ Replace 'Tex/' with the actual directory path where your files are located befor
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md = """
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Following code including wrapper
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```mermaid
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```python:wrapper.py
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graph TD
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A[Enter Chart Definition] --> B(Preview)
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B --> C{decide}
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@@ -41,6 +41,33 @@ Any folded content here. It requires an empty line just above it.
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</details>
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"""
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md ="""
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在这种场景中,您希望机器 B 能够通过轮询机制来间接地“请求”机器 A,而实际上机器 A 只能主动向机器 B 发出请求。这是一种典型的客户端-服务器轮询模式。下面是如何实现这种机制的详细步骤:
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### 机器 B 的实现
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1. **安装 FastAPI 和必要的依赖库**:
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```bash
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pip install fastapi uvicorn
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```
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2. **创建 FastAPI 服务**:
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```python
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from fastapi import FastAPI
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from fastapi.responses import JSONResponse
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from uuid import uuid4
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from threading import Lock
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import time
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app = FastAPI()
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# 字典用于存储请求和状态
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requests = {}
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process_lock = Lock()
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"""
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def validate_path():
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import os, sys
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@@ -53,10 +80,12 @@ def validate_path():
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validate_path() # validate path so you can run from base directory
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from toolbox import markdown_convertion
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from shared_utils.advanced_markdown_format import markdown_convertion_for_file
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# from shared_utils.advanced_markdown_format import markdown_convertion_for_file
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from shared_utils.advanced_markdown_format import close_up_code_segment_during_stream
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# with open("gpt_log/default_user/shared/2024-04-22-01-27-43.zip.extract/translated_markdown.md", "r", encoding="utf-8") as f:
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# md = f.read()
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html = markdown_convertion_for_file(md)
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md = close_up_code_segment_during_stream(md)
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html = markdown_convertion(md)
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# print(html)
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with open("test.html", "w", encoding="utf-8") as f:
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f.write(html)
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