镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-06 06:26:47 +00:00
比较提交
24 次代码提交
version3.9
...
dynamic_pl
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4
.gitignore
vendored
4
.gitignore
vendored
@@ -160,4 +160,6 @@ test.*
|
||||
temp.*
|
||||
objdump*
|
||||
*.min.*.js
|
||||
TODO
|
||||
TODO
|
||||
experimental_mods
|
||||
search_results
|
||||
|
||||
@@ -1,24 +1,36 @@
|
||||
from loguru import logger
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||||
|
||||
def check_proxy(proxies, return_ip=False):
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"""
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||||
检查代理配置并返回结果。
|
||||
|
||||
Args:
|
||||
proxies (dict): 包含http和https代理配置的字典。
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||||
return_ip (bool, optional): 是否返回代理的IP地址。默认为False。
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||||
|
||||
Returns:
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||||
str or None: 检查的结果信息或代理的IP地址(如果`return_ip`为True)。
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||||
"""
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||||
import requests
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||||
proxies_https = proxies['https'] if proxies is not None else '无'
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ip = None
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try:
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||||
response = requests.get("https://ipapi.co/json/", proxies=proxies, timeout=4)
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||||
response = requests.get("https://ipapi.co/json/", proxies=proxies, timeout=4) # ⭐ 执行GET请求以获取代理信息
|
||||
data = response.json()
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||||
if 'country_name' in data:
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||||
country = data['country_name']
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result = f"代理配置 {proxies_https}, 代理所在地:{country}"
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||||
if 'ip' in data: ip = data['ip']
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||||
if 'ip' in data:
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||||
ip = data['ip']
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elif 'error' in data:
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alternative, ip = _check_with_backup_source(proxies)
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alternative, ip = _check_with_backup_source(proxies) # ⭐ 调用备用方法检查代理配置
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if alternative is None:
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result = f"代理配置 {proxies_https}, 代理所在地:未知,IP查询频率受限"
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else:
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result = f"代理配置 {proxies_https}, 代理所在地:{alternative}"
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else:
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result = f"代理配置 {proxies_https}, 代理数据解析失败:{data}"
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if not return_ip:
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logger.warning(result)
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return result
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@@ -33,17 +45,33 @@ def check_proxy(proxies, return_ip=False):
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return ip
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||||
def _check_with_backup_source(proxies):
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"""
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||||
通过备份源检查代理,并获取相应信息。
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||||
|
||||
Args:
|
||||
proxies (dict): 包含代理信息的字典。
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||||
|
||||
Returns:
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tuple: 代理信息(geo)和IP地址(ip)的元组。
|
||||
"""
|
||||
import random, string, requests
|
||||
random_string = ''.join(random.choices(string.ascii_letters + string.digits, k=32))
|
||||
try:
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||||
res_json = requests.get(f"http://{random_string}.edns.ip-api.com/json", proxies=proxies, timeout=4).json()
|
||||
res_json = requests.get(f"http://{random_string}.edns.ip-api.com/json", proxies=proxies, timeout=4).json() # ⭐ 执行代理检查和备份源请求
|
||||
return res_json['dns']['geo'], res_json['dns']['ip']
|
||||
except:
|
||||
return None, None
|
||||
|
||||
def backup_and_download(current_version, remote_version):
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||||
"""
|
||||
一键更新协议:备份和下载
|
||||
一键更新协议:备份当前版本,下载远程版本并解压缩。
|
||||
|
||||
Args:
|
||||
current_version (str): 当前版本号。
|
||||
remote_version (str): 远程版本号。
|
||||
|
||||
Returns:
|
||||
str: 新版本目录的路径。
|
||||
"""
|
||||
from toolbox import get_conf
|
||||
import shutil
|
||||
@@ -60,7 +88,7 @@ def backup_and_download(current_version, remote_version):
|
||||
proxies = get_conf('proxies')
|
||||
try: r = requests.get('https://github.com/binary-husky/chatgpt_academic/archive/refs/heads/master.zip', proxies=proxies, stream=True)
|
||||
except: r = requests.get('https://public.agent-matrix.com/publish/master.zip', proxies=proxies, stream=True)
|
||||
zip_file_path = backup_dir+'/master.zip'
|
||||
zip_file_path = backup_dir+'/master.zip' # ⭐ 保存备份文件的路径
|
||||
with open(zip_file_path, 'wb+') as f:
|
||||
f.write(r.content)
|
||||
dst_path = new_version_dir
|
||||
@@ -76,6 +104,17 @@ def backup_and_download(current_version, remote_version):
|
||||
def patch_and_restart(path):
|
||||
"""
|
||||
一键更新协议:覆盖和重启
|
||||
|
||||
Args:
|
||||
path (str): 新版本代码所在的路径
|
||||
|
||||
注意事项:
|
||||
如果您的程序没有使用config_private.py私密配置文件,则会将config.py重命名为config_private.py以避免配置丢失。
|
||||
|
||||
更新流程:
|
||||
- 复制最新版本代码到当前目录
|
||||
- 更新pip包依赖
|
||||
- 如果更新失败,则提示手动安装依赖库并重启
|
||||
"""
|
||||
from distutils import dir_util
|
||||
import shutil
|
||||
@@ -84,32 +123,43 @@ def patch_and_restart(path):
|
||||
import time
|
||||
import glob
|
||||
from shared_utils.colorful import log亮黄, log亮绿, log亮红
|
||||
# if not using config_private, move origin config.py as config_private.py
|
||||
|
||||
if not os.path.exists('config_private.py'):
|
||||
log亮黄('由于您没有设置config_private.py私密配置,现将您的现有配置移动至config_private.py以防止配置丢失,',
|
||||
'另外您可以随时在history子文件夹下找回旧版的程序。')
|
||||
shutil.copyfile('config.py', 'config_private.py')
|
||||
|
||||
path_new_version = glob.glob(path + '/*-master')[0]
|
||||
dir_util.copy_tree(path_new_version, './')
|
||||
dir_util.copy_tree(path_new_version, './') # ⭐ 将最新版本代码复制到当前目录
|
||||
|
||||
log亮绿('代码已经更新,即将更新pip包依赖……')
|
||||
for i in reversed(range(5)): time.sleep(1); log亮绿(i)
|
||||
|
||||
try:
|
||||
import subprocess
|
||||
subprocess.check_call([sys.executable, '-m', 'pip', 'install', '-r', 'requirements.txt'])
|
||||
except:
|
||||
log亮红('pip包依赖安装出现问题,需要手动安装新增的依赖库 `python -m pip install -r requirements.txt`,然后在用常规的`python main.py`的方式启动。')
|
||||
|
||||
log亮绿('更新完成,您可以随时在history子文件夹下找回旧版的程序,5s之后重启')
|
||||
log亮红('假如重启失败,您可能需要手动安装新增的依赖库 `python -m pip install -r requirements.txt`,然后在用常规的`python main.py`的方式启动。')
|
||||
log亮绿(' ------------------------------ -----------------------------------')
|
||||
|
||||
for i in reversed(range(8)): time.sleep(1); log亮绿(i)
|
||||
os.execl(sys.executable, sys.executable, *sys.argv)
|
||||
os.execl(sys.executable, sys.executable, *sys.argv) # 重启程序
|
||||
|
||||
|
||||
def get_current_version():
|
||||
"""
|
||||
获取当前的版本号。
|
||||
|
||||
Returns:
|
||||
str: 当前的版本号。如果无法获取版本号,则返回空字符串。
|
||||
"""
|
||||
import json
|
||||
try:
|
||||
with open('./version', 'r', encoding='utf8') as f:
|
||||
current_version = json.loads(f.read())['version']
|
||||
current_version = json.loads(f.read())['version'] # ⭐ 从读取的json数据中提取版本号
|
||||
except:
|
||||
current_version = ""
|
||||
return current_version
|
||||
@@ -118,6 +168,12 @@ def get_current_version():
|
||||
def auto_update(raise_error=False):
|
||||
"""
|
||||
一键更新协议:查询版本和用户意见
|
||||
|
||||
Args:
|
||||
raise_error (bool, optional): 是否在出错时抛出错误。默认为 False。
|
||||
|
||||
Returns:
|
||||
None
|
||||
"""
|
||||
try:
|
||||
from toolbox import get_conf
|
||||
@@ -137,13 +193,13 @@ def auto_update(raise_error=False):
|
||||
current_version = json.loads(current_version)['version']
|
||||
if (remote_version - current_version) >= 0.01-1e-5:
|
||||
from shared_utils.colorful import log亮黄
|
||||
log亮黄(f'\n新版本可用。新版本:{remote_version},当前版本:{current_version}。{new_feature}')
|
||||
log亮黄(f'\n新版本可用。新版本:{remote_version},当前版本:{current_version}。{new_feature}') # ⭐ 在控制台打印新版本信息
|
||||
logger.info('(1)Github更新地址:\nhttps://github.com/binary-husky/chatgpt_academic\n')
|
||||
user_instruction = input('(2)是否一键更新代码(Y+回车=确认,输入其他/无输入+回车=不更新)?')
|
||||
if user_instruction in ['Y', 'y']:
|
||||
path = backup_and_download(current_version, remote_version)
|
||||
path = backup_and_download(current_version, remote_version) # ⭐ 备份并下载文件
|
||||
try:
|
||||
patch_and_restart(path)
|
||||
patch_and_restart(path) # ⭐ 执行覆盖并重启操作
|
||||
except:
|
||||
msg = '更新失败。'
|
||||
if raise_error:
|
||||
@@ -163,6 +219,9 @@ def auto_update(raise_error=False):
|
||||
logger.info(msg)
|
||||
|
||||
def warm_up_modules():
|
||||
"""
|
||||
预热模块,加载特定模块并执行预热操作。
|
||||
"""
|
||||
logger.info('正在执行一些模块的预热 ...')
|
||||
from toolbox import ProxyNetworkActivate
|
||||
from request_llms.bridge_all import model_info
|
||||
@@ -173,6 +232,16 @@ def warm_up_modules():
|
||||
enc.encode("模块预热", disallowed_special=())
|
||||
|
||||
def warm_up_vectordb():
|
||||
"""
|
||||
执行一些模块的预热操作。
|
||||
|
||||
本函数主要用于执行一些模块的预热操作,确保在后续的流程中能够顺利运行。
|
||||
|
||||
⭐ 关键作用:预热模块
|
||||
|
||||
Returns:
|
||||
None
|
||||
"""
|
||||
logger.info('正在执行一些模块的预热 ...')
|
||||
from toolbox import ProxyNetworkActivate
|
||||
with ProxyNetworkActivate("Warmup_Modules"):
|
||||
@@ -185,4 +254,4 @@ if __name__ == '__main__':
|
||||
os.environ['no_proxy'] = '*' # 避免代理网络产生意外污染
|
||||
from toolbox import get_conf
|
||||
proxies = get_conf('proxies')
|
||||
check_proxy(proxies)
|
||||
check_proxy(proxies)
|
||||
@@ -17,7 +17,7 @@ def get_crazy_functions():
|
||||
from crazy_functions.SourceCode_Analyse import 解析一个前端项目
|
||||
from crazy_functions.高级功能函数模板 import 高阶功能模板函数
|
||||
from crazy_functions.高级功能函数模板 import Demo_Wrap
|
||||
from crazy_functions.Latex全文润色 import Latex英文润色
|
||||
from crazy_functions.Latex_Project_Polish import Latex英文润色
|
||||
from crazy_functions.询问多个大语言模型 import 同时问询
|
||||
from crazy_functions.SourceCode_Analyse import 解析一个Lua项目
|
||||
from crazy_functions.SourceCode_Analyse import 解析一个CSharp项目
|
||||
@@ -33,8 +33,8 @@ def get_crazy_functions():
|
||||
from crazy_functions.PDF_Translate import 批量翻译PDF文档
|
||||
from crazy_functions.谷歌检索小助手 import 谷歌检索小助手
|
||||
from crazy_functions.理解PDF文档内容 import 理解PDF文档内容标准文件输入
|
||||
from crazy_functions.Latex全文润色 import Latex中文润色
|
||||
from crazy_functions.Latex全文润色 import Latex英文纠错
|
||||
from crazy_functions.Latex_Project_Polish import Latex中文润色
|
||||
from crazy_functions.Latex_Project_Polish import Latex英文纠错
|
||||
from crazy_functions.Markdown_Translate import Markdown中译英
|
||||
from crazy_functions.虚空终端 import 虚空终端
|
||||
from crazy_functions.生成多种Mermaid图表 import Mermaid_Gen
|
||||
@@ -49,6 +49,7 @@ def get_crazy_functions():
|
||||
from crazy_functions.Image_Generate import 图片生成_DALLE2, 图片生成_DALLE3, 图片修改_DALLE2
|
||||
from crazy_functions.Image_Generate_Wrap import ImageGen_Wrap
|
||||
from crazy_functions.SourceCode_Comment import 注释Python项目
|
||||
from crazy_functions.SourceCode_Comment_Wrap import SourceCodeComment_Wrap
|
||||
|
||||
function_plugins = {
|
||||
"虚空终端": {
|
||||
@@ -71,6 +72,7 @@ def get_crazy_functions():
|
||||
"AsButton": False,
|
||||
"Info": "上传一系列python源文件(或者压缩包), 为这些代码添加docstring | 输入参数为路径",
|
||||
"Function": HotReload(注释Python项目),
|
||||
"Class": SourceCodeComment_Wrap,
|
||||
},
|
||||
"载入对话历史存档(先上传存档或输入路径)": {
|
||||
"Group": "对话",
|
||||
@@ -738,19 +740,6 @@ def get_crazy_functions():
|
||||
# logger.error(trimmed_format_exc())
|
||||
# print('Load function plugin failed')
|
||||
|
||||
# try:
|
||||
# from crazy_functions.chatglm微调工具 import 微调数据集生成
|
||||
# function_plugins.update({
|
||||
# "黑盒模型学习: 微调数据集生成 (先上传数据集)": {
|
||||
# "Color": "stop",
|
||||
# "AsButton": False,
|
||||
# "AdvancedArgs": True,
|
||||
# "ArgsReminder": "针对数据集输入(如 绿帽子*深蓝色衬衫*黑色运动裤)给出指令,例如您可以将以下命令复制到下方: --llm_to_learn=azure-gpt-3.5 --prompt_prefix='根据下面的服装类型提示,想象一个穿着者,对这个人外貌、身处的环境、内心世界、过去经历进行描写。要求:100字以内,用第二人称。' --system_prompt=''",
|
||||
# "Function": HotReload(微调数据集生成)
|
||||
# }
|
||||
# })
|
||||
# except:
|
||||
# print('Load function plugin failed')
|
||||
|
||||
"""
|
||||
设置默认值:
|
||||
|
||||
@@ -0,0 +1,62 @@
|
||||
|
||||
from toolbox import get_conf, update_ui
|
||||
from crazy_functions.Image_Generate import 图片生成_DALLE2, 图片生成_DALLE3, 图片修改_DALLE2
|
||||
from crazy_functions.plugin_template.plugin_class_template import GptAcademicPluginTemplate, ArgProperty
|
||||
|
||||
|
||||
|
||||
def update_js_plugin_info():
|
||||
# encode_plugin_info
|
||||
...
|
||||
|
||||
|
||||
|
||||
class ImageGen_Wrap(GptAcademicPluginTemplate):
|
||||
def __init__(self):
|
||||
"""
|
||||
请注意`execute`会执行在不同的线程中,因此您在定义和使用类变量时,应当慎之又慎!
|
||||
"""
|
||||
pass
|
||||
|
||||
def define_arg_selection_menu(self):
|
||||
"""
|
||||
定义插件的二级选项菜单
|
||||
|
||||
第一个参数,名称`main_input`,参数`type`声明这是一个文本框,文本框上方显示`title`,文本框内部显示`description`,`default_value`为默认值;
|
||||
第二个参数,名称`advanced_arg`,参数`type`声明这是一个文本框,文本框上方显示`title`,文本框内部显示`description`,`default_value`为默认值;
|
||||
|
||||
"""
|
||||
gui_definition = {
|
||||
"main_input":
|
||||
ArgProperty(title="输入图片描述", description="需要生成图像的文本描述,尽量使用英文", default_value="", type="string").model_dump_json(), # 主输入,自动从输入框同步
|
||||
"model_name":
|
||||
ArgProperty(title="模型", options=["DALLE2", "DALLE3"], default_value="DALLE3", description="无", type="dropdown").model_dump_json(),
|
||||
"resolution":
|
||||
ArgProperty(title="分辨率", options=["256x256(限DALLE2)", "512x512(限DALLE2)", "1024x1024", "1792x1024(限DALLE3)", "1024x1792(限DALLE3)"], default_value="1024x1024", description="无", type="dropdown").model_dump_json(),
|
||||
"quality (仅DALLE3生效)":
|
||||
ArgProperty(title="质量", options=["standard", "hd"], default_value="standard", description="无", type="dropdown").model_dump_json(),
|
||||
"style (仅DALLE3生效)":
|
||||
ArgProperty(title="风格", options=["vivid", "natural"], default_value="vivid", description="无", type="dropdown").model_dump_json(),
|
||||
}
|
||||
return gui_definition
|
||||
|
||||
def execute(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
|
||||
"""
|
||||
执行插件
|
||||
"""
|
||||
# 分辨率
|
||||
resolution = plugin_kwargs["resolution"].replace("(限DALLE2)", "").replace("(限DALLE3)", "")
|
||||
|
||||
if plugin_kwargs["model_name"] == "DALLE2":
|
||||
plugin_kwargs["advanced_arg"] = resolution
|
||||
yield from 图片生成_DALLE2(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request)
|
||||
|
||||
elif plugin_kwargs["model_name"] == "DALLE3":
|
||||
quality = plugin_kwargs["quality (仅DALLE3生效)"]
|
||||
style = plugin_kwargs["style (仅DALLE3生效)"]
|
||||
plugin_kwargs["advanced_arg"] = f"{resolution}-{quality}-{style}"
|
||||
yield from 图片生成_DALLE3(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request)
|
||||
|
||||
else:
|
||||
chatbot.append([None, "抱歉,找不到该模型"])
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
@@ -3,7 +3,7 @@ from toolbox import CatchException, report_exception, update_ui_lastest_msg, zip
|
||||
from functools import partial
|
||||
from loguru import logger
|
||||
|
||||
import glob, os, requests, time, json, tarfile
|
||||
import glob, os, requests, time, json, tarfile, threading
|
||||
|
||||
pj = os.path.join
|
||||
ARXIV_CACHE_DIR = get_conf("ARXIV_CACHE_DIR")
|
||||
@@ -138,25 +138,43 @@ def arxiv_download(chatbot, history, txt, allow_cache=True):
|
||||
cached_translation_pdf = check_cached_translation_pdf(arxiv_id)
|
||||
if cached_translation_pdf and allow_cache: return cached_translation_pdf, arxiv_id
|
||||
|
||||
url_tar = url_.replace('/abs/', '/e-print/')
|
||||
translation_dir = pj(ARXIV_CACHE_DIR, arxiv_id, 'e-print')
|
||||
extract_dst = pj(ARXIV_CACHE_DIR, arxiv_id, 'extract')
|
||||
os.makedirs(translation_dir, exist_ok=True)
|
||||
|
||||
# <-------------- download arxiv source file ------------->
|
||||
translation_dir = pj(ARXIV_CACHE_DIR, arxiv_id, 'e-print')
|
||||
dst = pj(translation_dir, arxiv_id + '.tar')
|
||||
if os.path.exists(dst):
|
||||
yield from update_ui_lastest_msg("调用缓存", chatbot=chatbot, history=history) # 刷新界面
|
||||
os.makedirs(translation_dir, exist_ok=True)
|
||||
# <-------------- download arxiv source file ------------->
|
||||
|
||||
def fix_url_and_download():
|
||||
# for url_tar in [url_.replace('/abs/', '/e-print/'), url_.replace('/abs/', '/src/')]:
|
||||
for url_tar in [url_.replace('/abs/', '/src/'), url_.replace('/abs/', '/e-print/')]:
|
||||
proxies = get_conf('proxies')
|
||||
r = requests.get(url_tar, proxies=proxies)
|
||||
if r.status_code == 200:
|
||||
with open(dst, 'wb+') as f:
|
||||
f.write(r.content)
|
||||
return True
|
||||
return False
|
||||
|
||||
if os.path.exists(dst) and allow_cache:
|
||||
yield from update_ui_lastest_msg(f"调用缓存 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面
|
||||
success = True
|
||||
else:
|
||||
yield from update_ui_lastest_msg("开始下载", chatbot=chatbot, history=history) # 刷新界面
|
||||
proxies = get_conf('proxies')
|
||||
r = requests.get(url_tar, proxies=proxies)
|
||||
with open(dst, 'wb+') as f:
|
||||
f.write(r.content)
|
||||
yield from update_ui_lastest_msg(f"开始下载 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面
|
||||
success = fix_url_and_download()
|
||||
yield from update_ui_lastest_msg(f"下载完成 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面
|
||||
|
||||
|
||||
if not success:
|
||||
yield from update_ui_lastest_msg(f"下载失败 {arxiv_id}", chatbot=chatbot, history=history)
|
||||
raise tarfile.ReadError(f"论文下载失败 {arxiv_id}")
|
||||
|
||||
# <-------------- extract file ------------->
|
||||
yield from update_ui_lastest_msg("下载完成", chatbot=chatbot, history=history) # 刷新界面
|
||||
from toolbox import extract_archive
|
||||
extract_archive(file_path=dst, dest_dir=extract_dst)
|
||||
try:
|
||||
extract_archive(file_path=dst, dest_dir=extract_dst)
|
||||
except tarfile.ReadError:
|
||||
os.remove(dst)
|
||||
raise tarfile.ReadError(f"论文下载失败")
|
||||
return extract_dst, arxiv_id
|
||||
|
||||
|
||||
@@ -320,11 +338,17 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
|
||||
# <-------------- more requirements ------------->
|
||||
if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg")
|
||||
more_req = plugin_kwargs.get("advanced_arg", "")
|
||||
no_cache = more_req.startswith("--no-cache")
|
||||
if no_cache: more_req.lstrip("--no-cache")
|
||||
|
||||
no_cache = ("--no-cache" in more_req)
|
||||
if no_cache: more_req = more_req.replace("--no-cache", "").strip()
|
||||
|
||||
allow_gptac_cloud_io = ("--allow-cloudio" in more_req) # 从云端下载翻译结果,以及上传翻译结果到云端
|
||||
if allow_gptac_cloud_io: more_req = more_req.replace("--allow-cloudio", "").strip()
|
||||
|
||||
allow_cache = not no_cache
|
||||
_switch_prompt_ = partial(switch_prompt, more_requirement=more_req)
|
||||
|
||||
|
||||
# <-------------- check deps ------------->
|
||||
try:
|
||||
import glob, os, time, subprocess
|
||||
@@ -351,6 +375,20 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
return
|
||||
|
||||
# #################################################################
|
||||
if allow_gptac_cloud_io and arxiv_id:
|
||||
# 访问 GPTAC学术云,查询云端是否存在该论文的翻译版本
|
||||
from crazy_functions.latex_fns.latex_actions import check_gptac_cloud
|
||||
success, downloaded = check_gptac_cloud(arxiv_id, chatbot)
|
||||
if success:
|
||||
chatbot.append([
|
||||
f"检测到GPTAC云端存在翻译版本, 如果不满意翻译结果, 请禁用云端分享, 然后重新执行。",
|
||||
None
|
||||
])
|
||||
yield from update_ui(chatbot=chatbot, history=history)
|
||||
return
|
||||
#################################################################
|
||||
|
||||
if os.path.exists(txt):
|
||||
project_folder = txt
|
||||
else:
|
||||
@@ -388,14 +426,21 @@ def Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot,
|
||||
# <-------------- zip PDF ------------->
|
||||
zip_res = zip_result(project_folder)
|
||||
if success:
|
||||
if allow_gptac_cloud_io and arxiv_id:
|
||||
# 如果用户允许,我们将翻译好的arxiv论文PDF上传到GPTAC学术云
|
||||
from crazy_functions.latex_fns.latex_actions import upload_to_gptac_cloud_if_user_allow
|
||||
threading.Thread(target=upload_to_gptac_cloud_if_user_allow,
|
||||
args=(chatbot, arxiv_id), daemon=True).start()
|
||||
|
||||
chatbot.append((f"成功啦", '请查收结果(压缩包)...'))
|
||||
yield from update_ui(chatbot=chatbot, history=history);
|
||||
yield from update_ui(chatbot=chatbot, history=history)
|
||||
time.sleep(1) # 刷新界面
|
||||
promote_file_to_downloadzone(file=zip_res, chatbot=chatbot)
|
||||
|
||||
else:
|
||||
chatbot.append((f"失败了",
|
||||
'虽然PDF生成失败了, 但请查收结果(压缩包), 内含已经翻译的Tex文档, 您可以到Github Issue区, 用该压缩包进行反馈。如系统是Linux,请检查系统字体(见Github wiki) ...'))
|
||||
yield from update_ui(chatbot=chatbot, history=history);
|
||||
yield from update_ui(chatbot=chatbot, history=history)
|
||||
time.sleep(1) # 刷新界面
|
||||
promote_file_to_downloadzone(file=zip_res, chatbot=chatbot)
|
||||
|
||||
|
||||
@@ -30,6 +30,8 @@ class Arxiv_Localize(GptAcademicPluginTemplate):
|
||||
default_value="", type="string").model_dump_json(), # 高级参数输入区,自动同步
|
||||
"allow_cache":
|
||||
ArgProperty(title="是否允许从缓存中调取结果", options=["允许缓存", "从头执行"], default_value="允许缓存", description="无", type="dropdown").model_dump_json(),
|
||||
"allow_cloudio":
|
||||
ArgProperty(title="是否允许从GPTAC学术云下载(或者上传)翻译结果(仅针对Arxiv论文)", options=["允许", "禁止"], default_value="禁止", description="共享文献,互助互利", type="dropdown").model_dump_json(),
|
||||
}
|
||||
return gui_definition
|
||||
|
||||
@@ -38,9 +40,14 @@ class Arxiv_Localize(GptAcademicPluginTemplate):
|
||||
执行插件
|
||||
"""
|
||||
allow_cache = plugin_kwargs["allow_cache"]
|
||||
allow_cloudio = plugin_kwargs["allow_cloudio"]
|
||||
advanced_arg = plugin_kwargs["advanced_arg"]
|
||||
|
||||
if allow_cache == "从头执行": plugin_kwargs["advanced_arg"] = "--no-cache " + plugin_kwargs["advanced_arg"]
|
||||
|
||||
# 从云端下载翻译结果,以及上传翻译结果到云端;人人为我,我为人人。
|
||||
if allow_cloudio == "允许": plugin_kwargs["advanced_arg"] = "--allow-cloudio " + plugin_kwargs["advanced_arg"]
|
||||
|
||||
yield from Latex翻译中文并重新编译PDF(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request)
|
||||
|
||||
|
||||
|
||||
@@ -65,7 +65,7 @@ def 多文件翻译(file_manifest, project_folder, llm_kwargs, plugin_kwargs, ch
|
||||
pfg.file_contents.append(file_content)
|
||||
|
||||
# <-------- 拆分过长的Markdown文件 ---------->
|
||||
pfg.run_file_split(max_token_limit=2048)
|
||||
pfg.run_file_split(max_token_limit=1024)
|
||||
n_split = len(pfg.sp_file_contents)
|
||||
|
||||
# <-------- 多线程翻译开始 ---------->
|
||||
|
||||
@@ -6,7 +6,10 @@ from crazy_functions.crazy_utils import request_gpt_model_multi_threads_with_ver
|
||||
from crazy_functions.crazy_utils import request_gpt_model_in_new_thread_with_ui_alive
|
||||
from crazy_functions.agent_fns.python_comment_agent import PythonCodeComment
|
||||
from crazy_functions.diagram_fns.file_tree import FileNode
|
||||
from crazy_functions.agent_fns.watchdog import WatchDog
|
||||
from shared_utils.advanced_markdown_format import markdown_convertion_for_file
|
||||
from loguru import logger
|
||||
|
||||
|
||||
def 注释源代码(file_manifest, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt):
|
||||
|
||||
@@ -24,12 +27,13 @@ def 注释源代码(file_manifest, project_folder, llm_kwargs, plugin_kwargs, ch
|
||||
file_tree_struct.add_file(file_path, file_path)
|
||||
|
||||
# <第一步,逐个文件分析,多线程>
|
||||
lang = "" if not plugin_kwargs["use_chinese"] else " (you must use Chinese)"
|
||||
for index, fp in enumerate(file_manifest):
|
||||
# 读取文件
|
||||
with open(fp, 'r', encoding='utf-8', errors='replace') as f:
|
||||
file_content = f.read()
|
||||
prefix = ""
|
||||
i_say = prefix + f'Please conclude the following source code at {os.path.relpath(fp, project_folder)} with only one sentence, the code is:\n```{file_content}```'
|
||||
i_say = prefix + f'Please conclude the following source code at {os.path.relpath(fp, project_folder)} with only one sentence{lang}, the code is:\n```{file_content}```'
|
||||
i_say_show_user = prefix + f'[{index+1}/{len(file_manifest)}] 请用一句话对下面的程序文件做一个整体概述: {fp}'
|
||||
# 装载请求内容
|
||||
MAX_TOKEN_SINGLE_FILE = 2560
|
||||
@@ -37,7 +41,7 @@ def 注释源代码(file_manifest, project_folder, llm_kwargs, plugin_kwargs, ch
|
||||
inputs_array.append(i_say)
|
||||
inputs_show_user_array.append(i_say_show_user)
|
||||
history_array.append([])
|
||||
sys_prompt_array.append("You are a software architecture analyst analyzing a source code project. Do not dig into details, tell me what the code is doing in general. Your answer must be short, simple and clear.")
|
||||
sys_prompt_array.append(f"You are a software architecture analyst analyzing a source code project. Do not dig into details, tell me what the code is doing in general. Your answer must be short, simple and clear{lang}.")
|
||||
# 文件读取完成,对每一个源代码文件,生成一个请求线程,发送到大模型进行分析
|
||||
gpt_response_collection = yield from request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
|
||||
inputs_array = inputs_array,
|
||||
@@ -50,10 +54,20 @@ def 注释源代码(file_manifest, project_folder, llm_kwargs, plugin_kwargs, ch
|
||||
)
|
||||
|
||||
# <第二步,逐个文件分析,生成带注释文件>
|
||||
tasks = ["" for _ in range(len(file_manifest))]
|
||||
def bark_fn(tasks):
|
||||
for i in range(len(tasks)): tasks[i] = "watchdog is dead"
|
||||
wd = WatchDog(timeout=10, bark_fn=lambda: bark_fn(tasks), interval=3, msg="ThreadWatcher timeout")
|
||||
wd.begin_watch()
|
||||
from concurrent.futures import ThreadPoolExecutor
|
||||
executor = ThreadPoolExecutor(max_workers=get_conf('DEFAULT_WORKER_NUM'))
|
||||
def _task_multi_threading(i_say, gpt_say, fp, file_tree_struct):
|
||||
pcc = PythonCodeComment(llm_kwargs, language='English')
|
||||
def _task_multi_threading(i_say, gpt_say, fp, file_tree_struct, index):
|
||||
language = 'Chinese' if plugin_kwargs["use_chinese"] else 'English'
|
||||
def observe_window_update(x):
|
||||
if tasks[index] == "watchdog is dead":
|
||||
raise TimeoutError("ThreadWatcher: watchdog is dead")
|
||||
tasks[index] = x
|
||||
pcc = PythonCodeComment(llm_kwargs, plugin_kwargs, language=language, observe_window_update=observe_window_update)
|
||||
pcc.read_file(path=fp, brief=gpt_say)
|
||||
revised_path, revised_content = pcc.begin_comment_source_code(None, None)
|
||||
file_tree_struct.manifest[fp].revised_path = revised_path
|
||||
@@ -65,7 +79,8 @@ def 注释源代码(file_manifest, project_folder, llm_kwargs, plugin_kwargs, ch
|
||||
with open("crazy_functions/agent_fns/python_comment_compare.html", 'r', encoding='utf-8') as f:
|
||||
html_template = f.read()
|
||||
warp = lambda x: "```python\n\n" + x + "\n\n```"
|
||||
from themes.theme import advanced_css
|
||||
from themes.theme import load_dynamic_theme
|
||||
_, advanced_css, _, _ = load_dynamic_theme("Default")
|
||||
html_template = html_template.replace("ADVANCED_CSS", advanced_css)
|
||||
html_template = html_template.replace("REPLACE_CODE_FILE_LEFT", pcc.get_markdown_block_in_html(markdown_convertion_for_file(warp(pcc.original_content))))
|
||||
html_template = html_template.replace("REPLACE_CODE_FILE_RIGHT", pcc.get_markdown_block_in_html(markdown_convertion_for_file(warp(revised_content))))
|
||||
@@ -73,17 +88,21 @@ def 注释源代码(file_manifest, project_folder, llm_kwargs, plugin_kwargs, ch
|
||||
file_tree_struct.manifest[fp].compare_html = compare_html_path
|
||||
with open(compare_html_path, 'w', encoding='utf-8') as f:
|
||||
f.write(html_template)
|
||||
# print('done 1')
|
||||
tasks[index] = ""
|
||||
|
||||
chatbot.append([None, f"正在处理:"])
|
||||
futures = []
|
||||
index = 0
|
||||
for i_say, gpt_say, fp in zip(gpt_response_collection[0::2], gpt_response_collection[1::2], file_manifest):
|
||||
future = executor.submit(_task_multi_threading, i_say, gpt_say, fp, file_tree_struct)
|
||||
future = executor.submit(_task_multi_threading, i_say, gpt_say, fp, file_tree_struct, index)
|
||||
index += 1
|
||||
futures.append(future)
|
||||
|
||||
# <第三步,等待任务完成>
|
||||
cnt = 0
|
||||
while True:
|
||||
cnt += 1
|
||||
wd.feed()
|
||||
time.sleep(3)
|
||||
worker_done = [h.done() for h in futures]
|
||||
remain = len(worker_done) - sum(worker_done)
|
||||
@@ -92,14 +111,18 @@ def 注释源代码(file_manifest, project_folder, llm_kwargs, plugin_kwargs, ch
|
||||
preview_html_list = []
|
||||
for done, fp in zip(worker_done, file_manifest):
|
||||
if not done: continue
|
||||
preview_html_list.append(file_tree_struct.manifest[fp].compare_html)
|
||||
if hasattr(file_tree_struct.manifest[fp], 'compare_html'):
|
||||
preview_html_list.append(file_tree_struct.manifest[fp].compare_html)
|
||||
else:
|
||||
logger.error(f"文件: {fp} 的注释结果未能成功")
|
||||
file_links = generate_file_link(preview_html_list)
|
||||
|
||||
yield from update_ui_lastest_msg(
|
||||
f"剩余源文件数量: {remain}.\n\n" +
|
||||
f"已完成的文件: {sum(worker_done)}.\n\n" +
|
||||
f"当前任务: <br/>{'<br/>'.join(tasks)}.<br/>" +
|
||||
f"剩余源文件数量: {remain}.<br/>" +
|
||||
f"已完成的文件: {sum(worker_done)}.<br/>" +
|
||||
file_links +
|
||||
"\n\n" +
|
||||
"<br/>" +
|
||||
''.join(['.']*(cnt % 10 + 1)
|
||||
), chatbot=chatbot, history=history, delay=0)
|
||||
yield from update_ui(chatbot=chatbot, history=[]) # 刷新界面
|
||||
@@ -120,6 +143,7 @@ def 注释源代码(file_manifest, project_folder, llm_kwargs, plugin_kwargs, ch
|
||||
@CatchException
|
||||
def 注释Python项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
|
||||
history = [] # 清空历史,以免输入溢出
|
||||
plugin_kwargs["use_chinese"] = plugin_kwargs.get("use_chinese", False)
|
||||
import glob, os
|
||||
if os.path.exists(txt):
|
||||
project_folder = txt
|
||||
|
||||
@@ -0,0 +1,36 @@
|
||||
|
||||
from toolbox import get_conf, update_ui
|
||||
from crazy_functions.plugin_template.plugin_class_template import GptAcademicPluginTemplate, ArgProperty
|
||||
from crazy_functions.SourceCode_Comment import 注释Python项目
|
||||
|
||||
class SourceCodeComment_Wrap(GptAcademicPluginTemplate):
|
||||
def __init__(self):
|
||||
"""
|
||||
请注意`execute`会执行在不同的线程中,因此您在定义和使用类变量时,应当慎之又慎!
|
||||
"""
|
||||
pass
|
||||
|
||||
def define_arg_selection_menu(self):
|
||||
"""
|
||||
定义插件的二级选项菜单
|
||||
"""
|
||||
gui_definition = {
|
||||
"main_input":
|
||||
ArgProperty(title="路径", description="程序路径(上传文件后自动填写)", default_value="", type="string").model_dump_json(), # 主输入,自动从输入框同步
|
||||
"use_chinese":
|
||||
ArgProperty(title="注释语言", options=["英文", "中文"], default_value="英文", description="无", type="dropdown").model_dump_json(),
|
||||
# "use_emoji":
|
||||
# ArgProperty(title="在注释中使用emoji", options=["禁止", "允许"], default_value="禁止", description="无", type="dropdown").model_dump_json(),
|
||||
}
|
||||
return gui_definition
|
||||
|
||||
def execute(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
|
||||
"""
|
||||
执行插件
|
||||
"""
|
||||
if plugin_kwargs["use_chinese"] == "中文":
|
||||
plugin_kwargs["use_chinese"] = True
|
||||
else:
|
||||
plugin_kwargs["use_chinese"] = False
|
||||
|
||||
yield from 注释Python项目(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request)
|
||||
@@ -68,6 +68,7 @@ Be aware:
|
||||
1. You must NOT modify the indent of code.
|
||||
2. You are NOT authorized to change or translate non-comment code, and you are NOT authorized to add empty lines either, toggle qu.
|
||||
3. Use {LANG} to add comments and docstrings. Do NOT translate Chinese that is already in the code.
|
||||
4. Besides adding a docstring, use the ⭐ symbol to annotate the most core and important line of code within the function, explaining its role.
|
||||
|
||||
------------------ Example ------------------
|
||||
INPUT:
|
||||
@@ -116,10 +117,66 @@ def zip_result(folder):
|
||||
'''
|
||||
|
||||
|
||||
revise_funtion_prompt_chinese = '''
|
||||
您需要阅读以下代码,并根据以下说明修订源代码({FILE_BASENAME}):
|
||||
1. 如果源代码中包含函数的话, 你应该分析给定函数实现了什么功能
|
||||
2. 如果源代码中包含函数的话, 你需要为函数添加docstring, docstring必须使用中文
|
||||
|
||||
请注意:
|
||||
1. 你不得修改代码的缩进
|
||||
2. 你无权更改或翻译代码中的非注释部分,也不允许添加空行
|
||||
3. 使用 {LANG} 添加注释和文档字符串。不要翻译代码中已有的中文
|
||||
4. 除了添加docstring之外, 使用⭐符号给该函数中最核心、最重要的一行代码添加注释,并说明其作用
|
||||
|
||||
------------------ 示例 ------------------
|
||||
INPUT:
|
||||
```
|
||||
L0000 |
|
||||
L0001 |def zip_result(folder):
|
||||
L0002 | t = gen_time_str()
|
||||
L0003 | zip_folder(folder, get_log_folder(), f"result.zip")
|
||||
L0004 | return os.path.join(get_log_folder(), f"result.zip")
|
||||
L0005 |
|
||||
L0006 |
|
||||
```
|
||||
|
||||
OUTPUT:
|
||||
|
||||
<instruction_1_purpose>
|
||||
该函数用于压缩指定文件夹,并返回生成的`zip`文件的路径。
|
||||
</instruction_1_purpose>
|
||||
<instruction_2_revised_code>
|
||||
```
|
||||
def zip_result(folder):
|
||||
"""
|
||||
该函数将指定的文件夹压缩成ZIP文件, 并将其存储在日志文件夹中。
|
||||
|
||||
输入参数:
|
||||
folder (str): 需要压缩的文件夹的路径。
|
||||
返回值:
|
||||
str: 日志文件夹中创建的ZIP文件的路径。
|
||||
"""
|
||||
t = gen_time_str()
|
||||
zip_folder(folder, get_log_folder(), f"result.zip") # ⭐ 执行文件夹的压缩
|
||||
return os.path.join(get_log_folder(), f"result.zip")
|
||||
```
|
||||
</instruction_2_revised_code>
|
||||
------------------ End of Example ------------------
|
||||
|
||||
|
||||
------------------ the real INPUT you need to process NOW ({FILE_BASENAME}) ------------------
|
||||
```
|
||||
{THE_CODE}
|
||||
```
|
||||
{INDENT_REMINDER}
|
||||
{BRIEF_REMINDER}
|
||||
{HINT_REMINDER}
|
||||
'''
|
||||
|
||||
|
||||
class PythonCodeComment():
|
||||
|
||||
def __init__(self, llm_kwargs, language) -> None:
|
||||
def __init__(self, llm_kwargs, plugin_kwargs, language, observe_window_update) -> None:
|
||||
self.original_content = ""
|
||||
self.full_context = []
|
||||
self.full_context_with_line_no = []
|
||||
@@ -127,7 +184,13 @@ class PythonCodeComment():
|
||||
self.page_limit = 100 # 100 lines of code each page
|
||||
self.ignore_limit = 20
|
||||
self.llm_kwargs = llm_kwargs
|
||||
self.plugin_kwargs = plugin_kwargs
|
||||
self.language = language
|
||||
self.observe_window_update = observe_window_update
|
||||
if self.language == "chinese":
|
||||
self.core_prompt = revise_funtion_prompt_chinese
|
||||
else:
|
||||
self.core_prompt = revise_funtion_prompt
|
||||
self.path = None
|
||||
self.file_basename = None
|
||||
self.file_brief = ""
|
||||
@@ -258,7 +321,7 @@ class PythonCodeComment():
|
||||
hint_reminder = "" if hint is None else f"(Reminder: do not ignore or modify code such as `{hint}`, provide complete code in the OUTPUT.)"
|
||||
self.llm_kwargs['temperature'] = 0
|
||||
result = predict_no_ui_long_connection(
|
||||
inputs=revise_funtion_prompt.format(
|
||||
inputs=self.core_prompt.format(
|
||||
LANG=self.language,
|
||||
FILE_BASENAME=self.file_basename,
|
||||
THE_CODE=code,
|
||||
@@ -348,6 +411,7 @@ class PythonCodeComment():
|
||||
try:
|
||||
# yield from update_ui_lastest_msg(f"({self.file_basename}) 正在读取下一段代码片段:\n", chatbot=chatbot, history=history, delay=0)
|
||||
next_batch, line_no_start, line_no_end = self.get_next_batch()
|
||||
self.observe_window_update(f"正在处理{self.file_basename} - {line_no_start}/{len(self.full_context)}\n")
|
||||
# yield from update_ui_lastest_msg(f"({self.file_basename}) 处理代码片段:\n\n{next_batch}", chatbot=chatbot, history=history, delay=0)
|
||||
|
||||
hint = None
|
||||
|
||||
@@ -1,39 +1,47 @@
|
||||
import ast
|
||||
import token
|
||||
import tokenize
|
||||
import copy
|
||||
import io
|
||||
|
||||
class CommentRemover(ast.NodeTransformer):
|
||||
def visit_FunctionDef(self, node):
|
||||
# 移除函数的文档字符串
|
||||
if (node.body and isinstance(node.body[0], ast.Expr) and
|
||||
isinstance(node.body[0].value, ast.Str)):
|
||||
node.body = node.body[1:]
|
||||
self.generic_visit(node)
|
||||
return node
|
||||
|
||||
def visit_ClassDef(self, node):
|
||||
# 移除类的文档字符串
|
||||
if (node.body and isinstance(node.body[0], ast.Expr) and
|
||||
isinstance(node.body[0].value, ast.Str)):
|
||||
node.body = node.body[1:]
|
||||
self.generic_visit(node)
|
||||
return node
|
||||
def remove_python_comments(input_source: str) -> str:
|
||||
source_flag = copy.copy(input_source)
|
||||
source = io.StringIO(input_source)
|
||||
ls = input_source.split('\n')
|
||||
prev_toktype = token.INDENT
|
||||
readline = source.readline
|
||||
|
||||
def visit_Module(self, node):
|
||||
# 移除模块的文档字符串
|
||||
if (node.body and isinstance(node.body[0], ast.Expr) and
|
||||
isinstance(node.body[0].value, ast.Str)):
|
||||
node.body = node.body[1:]
|
||||
self.generic_visit(node)
|
||||
return node
|
||||
|
||||
def get_char_index(lineno, col):
|
||||
# find the index of the char in the source code
|
||||
if lineno == 1:
|
||||
return len('\n'.join(ls[:(lineno-1)])) + col
|
||||
else:
|
||||
return len('\n'.join(ls[:(lineno-1)])) + col + 1
|
||||
|
||||
def replace_char_between(start_lineno, start_col, end_lineno, end_col, source, replace_char, ls):
|
||||
# replace char between start_lineno, start_col and end_lineno, end_col with replace_char, but keep '\n' and ' '
|
||||
b = get_char_index(start_lineno, start_col)
|
||||
e = get_char_index(end_lineno, end_col)
|
||||
for i in range(b, e):
|
||||
if source[i] == '\n':
|
||||
source = source[:i] + '\n' + source[i+1:]
|
||||
elif source[i] == ' ':
|
||||
source = source[:i] + ' ' + source[i+1:]
|
||||
else:
|
||||
source = source[:i] + replace_char + source[i+1:]
|
||||
return source
|
||||
|
||||
tokgen = tokenize.generate_tokens(readline)
|
||||
for toktype, ttext, (slineno, scol), (elineno, ecol), ltext in tokgen:
|
||||
if toktype == token.STRING and (prev_toktype == token.INDENT):
|
||||
source_flag = replace_char_between(slineno, scol, elineno, ecol, source_flag, ' ', ls)
|
||||
elif toktype == token.STRING and (prev_toktype == token.NEWLINE):
|
||||
source_flag = replace_char_between(slineno, scol, elineno, ecol, source_flag, ' ', ls)
|
||||
elif toktype == tokenize.COMMENT:
|
||||
source_flag = replace_char_between(slineno, scol, elineno, ecol, source_flag, ' ', ls)
|
||||
prev_toktype = toktype
|
||||
return source_flag
|
||||
|
||||
def remove_python_comments(source_code):
|
||||
# 解析源代码为 AST
|
||||
tree = ast.parse(source_code)
|
||||
# 移除注释
|
||||
transformer = CommentRemover()
|
||||
tree = transformer.visit(tree)
|
||||
# 将处理后的 AST 转换回源代码
|
||||
return ast.unparse(tree)
|
||||
|
||||
# 示例使用
|
||||
if __name__ == "__main__":
|
||||
|
||||
@@ -1,141 +0,0 @@
|
||||
from toolbox import CatchException, update_ui, promote_file_to_downloadzone
|
||||
from crazy_functions.crazy_utils import request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency
|
||||
import datetime, json
|
||||
|
||||
def fetch_items(list_of_items, batch_size):
|
||||
for i in range(0, len(list_of_items), batch_size):
|
||||
yield list_of_items[i:i + batch_size]
|
||||
|
||||
def string_to_options(arguments):
|
||||
import argparse
|
||||
import shlex
|
||||
|
||||
# Create an argparse.ArgumentParser instance
|
||||
parser = argparse.ArgumentParser()
|
||||
|
||||
# Add command-line arguments
|
||||
parser.add_argument("--llm_to_learn", type=str, help="LLM model to learn", default="gpt-3.5-turbo")
|
||||
parser.add_argument("--prompt_prefix", type=str, help="Prompt prefix", default='')
|
||||
parser.add_argument("--system_prompt", type=str, help="System prompt", default='')
|
||||
parser.add_argument("--batch", type=int, help="System prompt", default=50)
|
||||
parser.add_argument("--pre_seq_len", type=int, help="pre_seq_len", default=50)
|
||||
parser.add_argument("--learning_rate", type=float, help="learning_rate", default=2e-2)
|
||||
parser.add_argument("--num_gpus", type=int, help="num_gpus", default=1)
|
||||
parser.add_argument("--json_dataset", type=str, help="json_dataset", default="")
|
||||
parser.add_argument("--ptuning_directory", type=str, help="ptuning_directory", default="")
|
||||
|
||||
|
||||
|
||||
# Parse the arguments
|
||||
args = parser.parse_args(shlex.split(arguments))
|
||||
|
||||
return args
|
||||
|
||||
@CatchException
|
||||
def 微调数据集生成(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
|
||||
"""
|
||||
txt 输入栏用户输入的文本,例如需要翻译的一段话,再例如一个包含了待处理文件的路径
|
||||
llm_kwargs gpt模型参数,如温度和top_p等,一般原样传递下去就行
|
||||
plugin_kwargs 插件模型的参数
|
||||
chatbot 聊天显示框的句柄,用于显示给用户
|
||||
history 聊天历史,前情提要
|
||||
system_prompt 给gpt的静默提醒
|
||||
user_request 当前用户的请求信息(IP地址等)
|
||||
"""
|
||||
history = [] # 清空历史,以免输入溢出
|
||||
chatbot.append(("这是什么功能?", "[Local Message] 微调数据集生成"))
|
||||
if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg")
|
||||
args = plugin_kwargs.get("advanced_arg", None)
|
||||
if args is None:
|
||||
chatbot.append(("没给定指令", "退出"))
|
||||
yield from update_ui(chatbot=chatbot, history=history); return
|
||||
else:
|
||||
arguments = string_to_options(arguments=args)
|
||||
|
||||
dat = []
|
||||
with open(txt, 'r', encoding='utf8') as f:
|
||||
for line in f.readlines():
|
||||
json_dat = json.loads(line)
|
||||
dat.append(json_dat["content"])
|
||||
|
||||
llm_kwargs['llm_model'] = arguments.llm_to_learn
|
||||
for batch in fetch_items(dat, arguments.batch):
|
||||
res = yield from request_gpt_model_multi_threads_with_very_awesome_ui_and_high_efficiency(
|
||||
inputs_array=[f"{arguments.prompt_prefix}\n\n{b}" for b in (batch)],
|
||||
inputs_show_user_array=[f"Show Nothing" for _ in (batch)],
|
||||
llm_kwargs=llm_kwargs,
|
||||
chatbot=chatbot,
|
||||
history_array=[[] for _ in (batch)],
|
||||
sys_prompt_array=[arguments.system_prompt for _ in (batch)],
|
||||
max_workers=10 # OpenAI所允许的最大并行过载
|
||||
)
|
||||
|
||||
with open(txt+'.generated.json', 'a+', encoding='utf8') as f:
|
||||
for b, r in zip(batch, res[1::2]):
|
||||
f.write(json.dumps({"content":b, "summary":r}, ensure_ascii=False)+'\n')
|
||||
|
||||
promote_file_to_downloadzone(txt+'.generated.json', rename_file='generated.json', chatbot=chatbot)
|
||||
return
|
||||
|
||||
|
||||
|
||||
@CatchException
|
||||
def 启动微调(txt, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, user_request):
|
||||
"""
|
||||
txt 输入栏用户输入的文本,例如需要翻译的一段话,再例如一个包含了待处理文件的路径
|
||||
llm_kwargs gpt模型参数,如温度和top_p等,一般原样传递下去就行
|
||||
plugin_kwargs 插件模型的参数
|
||||
chatbot 聊天显示框的句柄,用于显示给用户
|
||||
history 聊天历史,前情提要
|
||||
system_prompt 给gpt的静默提醒
|
||||
user_request 当前用户的请求信息(IP地址等)
|
||||
"""
|
||||
import subprocess
|
||||
history = [] # 清空历史,以免输入溢出
|
||||
chatbot.append(("这是什么功能?", "[Local Message] 微调数据集生成"))
|
||||
if ("advanced_arg" in plugin_kwargs) and (plugin_kwargs["advanced_arg"] == ""): plugin_kwargs.pop("advanced_arg")
|
||||
args = plugin_kwargs.get("advanced_arg", None)
|
||||
if args is None:
|
||||
chatbot.append(("没给定指令", "退出"))
|
||||
yield from update_ui(chatbot=chatbot, history=history); return
|
||||
else:
|
||||
arguments = string_to_options(arguments=args)
|
||||
|
||||
|
||||
|
||||
pre_seq_len = arguments.pre_seq_len # 128
|
||||
learning_rate = arguments.learning_rate # 2e-2
|
||||
num_gpus = arguments.num_gpus # 1
|
||||
json_dataset = arguments.json_dataset # 't_code.json'
|
||||
ptuning_directory = arguments.ptuning_directory # '/home/hmp/ChatGLM2-6B/ptuning'
|
||||
|
||||
command = f"torchrun --standalone --nnodes=1 --nproc-per-node={num_gpus} main.py \
|
||||
--do_train \
|
||||
--train_file AdvertiseGen/{json_dataset} \
|
||||
--validation_file AdvertiseGen/{json_dataset} \
|
||||
--preprocessing_num_workers 20 \
|
||||
--prompt_column content \
|
||||
--response_column summary \
|
||||
--overwrite_cache \
|
||||
--model_name_or_path THUDM/chatglm2-6b \
|
||||
--output_dir output/clothgen-chatglm2-6b-pt-{pre_seq_len}-{learning_rate} \
|
||||
--overwrite_output_dir \
|
||||
--max_source_length 256 \
|
||||
--max_target_length 256 \
|
||||
--per_device_train_batch_size 1 \
|
||||
--per_device_eval_batch_size 1 \
|
||||
--gradient_accumulation_steps 16 \
|
||||
--predict_with_generate \
|
||||
--max_steps 100 \
|
||||
--logging_steps 10 \
|
||||
--save_steps 20 \
|
||||
--learning_rate {learning_rate} \
|
||||
--pre_seq_len {pre_seq_len} \
|
||||
--quantization_bit 4"
|
||||
|
||||
process = subprocess.Popen(command, shell=True, cwd=ptuning_directory)
|
||||
try:
|
||||
process.communicate(timeout=3600*24)
|
||||
except subprocess.TimeoutExpired:
|
||||
process.kill()
|
||||
return
|
||||
@@ -3,7 +3,7 @@ import re
|
||||
import shutil
|
||||
import numpy as np
|
||||
from loguru import logger
|
||||
from toolbox import update_ui, update_ui_lastest_msg, get_log_folder
|
||||
from toolbox import update_ui, update_ui_lastest_msg, get_log_folder, gen_time_str
|
||||
from toolbox import get_conf, promote_file_to_downloadzone
|
||||
from crazy_functions.latex_fns.latex_toolbox import PRESERVE, TRANSFORM
|
||||
from crazy_functions.latex_fns.latex_toolbox import set_forbidden_text, set_forbidden_text_begin_end, set_forbidden_text_careful_brace
|
||||
@@ -468,3 +468,70 @@ def write_html(sp_file_contents, sp_file_result, chatbot, project_folder):
|
||||
except:
|
||||
from toolbox import trimmed_format_exc
|
||||
logger.error('writing html result failed:', trimmed_format_exc())
|
||||
|
||||
|
||||
def upload_to_gptac_cloud_if_user_allow(chatbot, arxiv_id):
|
||||
try:
|
||||
# 如果用户允许,我们将arxiv论文PDF上传到GPTAC学术云
|
||||
from toolbox import map_file_to_sha256
|
||||
# 检查是否顺利,如果没有生成预期的文件,则跳过
|
||||
is_result_good = False
|
||||
for file_path in chatbot._cookies.get("files_to_promote", []):
|
||||
if file_path.endswith('translate_zh.pdf'):
|
||||
is_result_good = True
|
||||
if not is_result_good:
|
||||
return
|
||||
# 上传文件
|
||||
for file_path in chatbot._cookies.get("files_to_promote", []):
|
||||
align_name = None
|
||||
# normalized name
|
||||
for name in ['translate_zh.pdf', 'comparison.pdf']:
|
||||
if file_path.endswith(name): align_name = name
|
||||
# if match any align name
|
||||
if align_name:
|
||||
logger.info(f'Uploading to GPTAC cloud as the user has set `allow_cloud_io`: {file_path}')
|
||||
with open(file_path, 'rb') as f:
|
||||
import requests
|
||||
url = 'https://cloud-2.agent-matrix.com/arxiv_tf_paper_normal_upload'
|
||||
files = {'file': (align_name, f, 'application/octet-stream')}
|
||||
data = {
|
||||
'arxiv_id': arxiv_id,
|
||||
'file_hash': map_file_to_sha256(file_path),
|
||||
'language': 'zh',
|
||||
'trans_prompt': 'to_be_implemented',
|
||||
'llm_model': 'to_be_implemented',
|
||||
'llm_model_param': 'to_be_implemented',
|
||||
}
|
||||
resp = requests.post(url=url, files=files, data=data, timeout=30)
|
||||
logger.info(f'Uploading terminate ({resp.status_code})`: {file_path}')
|
||||
except:
|
||||
# 如果上传失败,不会中断程序,因为这是次要功能
|
||||
pass
|
||||
|
||||
def check_gptac_cloud(arxiv_id, chatbot):
|
||||
import requests
|
||||
success = False
|
||||
downloaded = []
|
||||
try:
|
||||
for pdf_target in ['translate_zh.pdf', 'comparison.pdf']:
|
||||
url = 'https://cloud-2.agent-matrix.com/arxiv_tf_paper_normal_exist'
|
||||
data = {
|
||||
'arxiv_id': arxiv_id,
|
||||
'name': pdf_target,
|
||||
}
|
||||
resp = requests.post(url=url, data=data)
|
||||
cache_hit_result = resp.text.strip('"')
|
||||
if cache_hit_result.startswith("http"):
|
||||
url = cache_hit_result
|
||||
logger.info(f'Downloading from GPTAC cloud: {url}')
|
||||
resp = requests.get(url=url, timeout=30)
|
||||
target = os.path.join(get_log_folder(plugin_name='gptac_cloud'), gen_time_str(), pdf_target)
|
||||
os.makedirs(os.path.dirname(target), exist_ok=True)
|
||||
with open(target, 'wb') as f:
|
||||
f.write(resp.content)
|
||||
new_path = promote_file_to_downloadzone(target, chatbot=chatbot)
|
||||
success = True
|
||||
downloaded.append(new_path)
|
||||
except:
|
||||
pass
|
||||
return success, downloaded
|
||||
|
||||
@@ -6,12 +6,16 @@ class SafeUnpickler(pickle.Unpickler):
|
||||
def get_safe_classes(self):
|
||||
from crazy_functions.latex_fns.latex_actions import LatexPaperFileGroup, LatexPaperSplit
|
||||
from crazy_functions.latex_fns.latex_toolbox import LinkedListNode
|
||||
from numpy.core.multiarray import scalar
|
||||
from numpy import dtype
|
||||
# 定义允许的安全类
|
||||
safe_classes = {
|
||||
# 在这里添加其他安全的类
|
||||
'LatexPaperFileGroup': LatexPaperFileGroup,
|
||||
'LatexPaperSplit': LatexPaperSplit,
|
||||
'LinkedListNode': LinkedListNode,
|
||||
'scalar': scalar,
|
||||
'dtype': dtype,
|
||||
}
|
||||
return safe_classes
|
||||
|
||||
@@ -22,8 +26,6 @@ class SafeUnpickler(pickle.Unpickler):
|
||||
for class_name in self.safe_classes.keys():
|
||||
if (class_name in f'{module}.{name}'):
|
||||
match_class_name = class_name
|
||||
if module == 'numpy' or module.startswith('numpy.'):
|
||||
return super().find_class(module, name)
|
||||
if match_class_name is not None:
|
||||
return self.safe_classes[match_class_name]
|
||||
# 如果尝试加载未授权的类,则抛出异常
|
||||
|
||||
@@ -697,15 +697,6 @@ def _merge_pdfs_ng(pdf1_path, pdf2_path, output_path):
|
||||
),
|
||||
0,
|
||||
)
|
||||
if "/Annots" in page1:
|
||||
page1_annot_id = [annot.idnum for annot in page1["/Annots"]]
|
||||
else:
|
||||
page1_annot_id = []
|
||||
|
||||
if "/Annots" in page2:
|
||||
page2_annot_id = [annot.idnum for annot in page2["/Annots"]]
|
||||
else:
|
||||
page2_annot_id = []
|
||||
if "/Annots" in new_page:
|
||||
annotations = new_page["/Annots"]
|
||||
for i, annot in enumerate(annotations):
|
||||
@@ -720,114 +711,148 @@ def _merge_pdfs_ng(pdf1_path, pdf2_path, output_path):
|
||||
if "/S" in action and action["/S"] == "/GoTo":
|
||||
# 内部链接:跳转到文档中的某个页面
|
||||
dest = action.get("/D") # 目标页或目标位置
|
||||
if dest and annot.idnum in page2_annot_id:
|
||||
# 获取原始文件中跳转信息,包括跳转页面
|
||||
destination = pdf2_reader.named_destinations[
|
||||
dest
|
||||
]
|
||||
page_number = (
|
||||
pdf2_reader.get_destination_page_number(
|
||||
destination
|
||||
)
|
||||
)
|
||||
# 更新跳转信息,跳转到对应的页面和,指定坐标 (100, 150),缩放比例为 100%
|
||||
# “/D”:[10,'/XYZ',100,100,0]
|
||||
annot_obj["/A"].update(
|
||||
{
|
||||
NameObject("/D"): ArrayObject(
|
||||
[
|
||||
NumberObject(page_number),
|
||||
destination.dest_array[1],
|
||||
FloatObject(
|
||||
destination.dest_array[2]
|
||||
+ int(
|
||||
page1.mediaBox.getWidth()
|
||||
)
|
||||
),
|
||||
destination.dest_array[3],
|
||||
destination.dest_array[4],
|
||||
]
|
||||
) # 确保键和值是 PdfObject
|
||||
}
|
||||
)
|
||||
rect = annot_obj.get("/Rect")
|
||||
# 更新点击坐标
|
||||
rect = ArrayObject(
|
||||
[
|
||||
FloatObject(
|
||||
rect[0]
|
||||
+ int(page1.mediaBox.getWidth())
|
||||
),
|
||||
rect[1],
|
||||
FloatObject(
|
||||
rect[2]
|
||||
+ int(page1.mediaBox.getWidth())
|
||||
),
|
||||
rect[3],
|
||||
# if dest and annot.idnum in page2_annot_id:
|
||||
# if dest in pdf2_reader.named_destinations:
|
||||
if dest and page2.annotations:
|
||||
if annot in page2.annotations:
|
||||
# 获取原始文件中跳转信息,包括跳转页面
|
||||
destination = pdf2_reader.named_destinations[
|
||||
dest
|
||||
]
|
||||
)
|
||||
annot_obj.update(
|
||||
{
|
||||
NameObject(
|
||||
"/Rect"
|
||||
): rect # 确保键和值是 PdfObject
|
||||
}
|
||||
)
|
||||
if dest and annot.idnum in page1_annot_id:
|
||||
# 获取原始文件中跳转信息,包括跳转页面
|
||||
destination = pdf1_reader.named_destinations[
|
||||
dest
|
||||
]
|
||||
page_number = (
|
||||
pdf1_reader.get_destination_page_number(
|
||||
destination
|
||||
page_number = (
|
||||
pdf2_reader.get_destination_page_number(
|
||||
destination
|
||||
)
|
||||
)
|
||||
)
|
||||
# 更新跳转信息,跳转到对应的页面和,指定坐标 (100, 150),缩放比例为 100%
|
||||
# “/D”:[10,'/XYZ',100,100,0]
|
||||
annot_obj["/A"].update(
|
||||
{
|
||||
NameObject("/D"): ArrayObject(
|
||||
[
|
||||
NumberObject(page_number),
|
||||
destination.dest_array[1],
|
||||
FloatObject(
|
||||
destination.dest_array[2]
|
||||
),
|
||||
destination.dest_array[3],
|
||||
destination.dest_array[4],
|
||||
]
|
||||
) # 确保键和值是 PdfObject
|
||||
}
|
||||
)
|
||||
rect = annot_obj.get("/Rect")
|
||||
rect = ArrayObject(
|
||||
[
|
||||
FloatObject(rect[0]),
|
||||
rect[1],
|
||||
FloatObject(rect[2]),
|
||||
rect[3],
|
||||
# 更新跳转信息,跳转到对应的页面和,指定坐标 (100, 150),缩放比例为 100%
|
||||
# “/D”:[10,'/XYZ',100,100,0]
|
||||
if destination.dest_array[1] == "/XYZ":
|
||||
annot_obj["/A"].update(
|
||||
{
|
||||
NameObject("/D"): ArrayObject(
|
||||
[
|
||||
NumberObject(page_number),
|
||||
destination.dest_array[1],
|
||||
FloatObject(
|
||||
destination.dest_array[
|
||||
2
|
||||
]
|
||||
+ int(
|
||||
page1.mediaBox.getWidth()
|
||||
)
|
||||
),
|
||||
destination.dest_array[3],
|
||||
destination.dest_array[4],
|
||||
]
|
||||
) # 确保键和值是 PdfObject
|
||||
}
|
||||
)
|
||||
else:
|
||||
annot_obj["/A"].update(
|
||||
{
|
||||
NameObject("/D"): ArrayObject(
|
||||
[
|
||||
NumberObject(page_number),
|
||||
destination.dest_array[1],
|
||||
]
|
||||
) # 确保键和值是 PdfObject
|
||||
}
|
||||
)
|
||||
|
||||
rect = annot_obj.get("/Rect")
|
||||
# 更新点击坐标
|
||||
rect = ArrayObject(
|
||||
[
|
||||
FloatObject(
|
||||
rect[0]
|
||||
+ int(page1.mediaBox.getWidth())
|
||||
),
|
||||
rect[1],
|
||||
FloatObject(
|
||||
rect[2]
|
||||
+ int(page1.mediaBox.getWidth())
|
||||
),
|
||||
rect[3],
|
||||
]
|
||||
)
|
||||
annot_obj.update(
|
||||
{
|
||||
NameObject(
|
||||
"/Rect"
|
||||
): rect # 确保键和值是 PdfObject
|
||||
}
|
||||
)
|
||||
# if dest and annot.idnum in page1_annot_id:
|
||||
# if dest in pdf1_reader.named_destinations:
|
||||
if dest and page1.annotations:
|
||||
if annot in page1.annotations:
|
||||
# 获取原始文件中跳转信息,包括跳转页面
|
||||
destination = pdf1_reader.named_destinations[
|
||||
dest
|
||||
]
|
||||
)
|
||||
annot_obj.update(
|
||||
{
|
||||
NameObject(
|
||||
"/Rect"
|
||||
): rect # 确保键和值是 PdfObject
|
||||
}
|
||||
)
|
||||
page_number = (
|
||||
pdf1_reader.get_destination_page_number(
|
||||
destination
|
||||
)
|
||||
)
|
||||
# 更新跳转信息,跳转到对应的页面和,指定坐标 (100, 150),缩放比例为 100%
|
||||
# “/D”:[10,'/XYZ',100,100,0]
|
||||
if destination.dest_array[1] == "/XYZ":
|
||||
annot_obj["/A"].update(
|
||||
{
|
||||
NameObject("/D"): ArrayObject(
|
||||
[
|
||||
NumberObject(page_number),
|
||||
destination.dest_array[1],
|
||||
FloatObject(
|
||||
destination.dest_array[
|
||||
2
|
||||
]
|
||||
),
|
||||
destination.dest_array[3],
|
||||
destination.dest_array[4],
|
||||
]
|
||||
) # 确保键和值是 PdfObject
|
||||
}
|
||||
)
|
||||
else:
|
||||
annot_obj["/A"].update(
|
||||
{
|
||||
NameObject("/D"): ArrayObject(
|
||||
[
|
||||
NumberObject(page_number),
|
||||
destination.dest_array[1],
|
||||
]
|
||||
) # 确保键和值是 PdfObject
|
||||
}
|
||||
)
|
||||
|
||||
rect = annot_obj.get("/Rect")
|
||||
rect = ArrayObject(
|
||||
[
|
||||
FloatObject(rect[0]),
|
||||
rect[1],
|
||||
FloatObject(rect[2]),
|
||||
rect[3],
|
||||
]
|
||||
)
|
||||
annot_obj.update(
|
||||
{
|
||||
NameObject(
|
||||
"/Rect"
|
||||
): rect # 确保键和值是 PdfObject
|
||||
}
|
||||
)
|
||||
|
||||
elif "/S" in action and action["/S"] == "/URI":
|
||||
# 外部链接:跳转到某个URI
|
||||
uri = action.get("/URI")
|
||||
|
||||
output_writer.addPage(new_page)
|
||||
# Save the merged PDF file
|
||||
with open(output_path, "wb") as output_file:
|
||||
output_writer.write(output_file)
|
||||
|
||||
|
||||
|
||||
def _merge_pdfs_legacy(pdf1_path, pdf2_path, output_path):
|
||||
import PyPDF2 # PyPDF2这个库有严重的内存泄露问题,把它放到子进程中运行,从而方便内存的释放
|
||||
|
||||
|
||||
@@ -4,7 +4,9 @@ from toolbox import promote_file_to_downloadzone, extract_archive
|
||||
from toolbox import generate_file_link, zip_folder
|
||||
from crazy_functions.crazy_utils import get_files_from_everything
|
||||
from shared_utils.colorful import *
|
||||
from loguru import logger
|
||||
import os
|
||||
import time
|
||||
|
||||
def refresh_key(doc2x_api_key):
|
||||
import requests, json
|
||||
@@ -22,105 +24,140 @@ def refresh_key(doc2x_api_key):
|
||||
raise RuntimeError(format("[ERROR] status code: %d, body: %s" % (res.status_code, res.text)))
|
||||
return doc2x_api_key
|
||||
|
||||
|
||||
|
||||
def 解析PDF_DOC2X_转Latex(pdf_file_path):
|
||||
zip_file_path, unzipped_folder = 解析PDF_DOC2X(pdf_file_path, format='tex')
|
||||
return unzipped_folder
|
||||
|
||||
|
||||
def 解析PDF_DOC2X(pdf_file_path, format='tex'):
|
||||
"""
|
||||
format: 'tex', 'md', 'docx'
|
||||
"""
|
||||
import requests, json, os
|
||||
DOC2X_API_KEY = get_conf('DOC2X_API_KEY')
|
||||
latex_dir = get_log_folder(plugin_name="pdf_ocr_latex")
|
||||
markdown_dir = get_log_folder(plugin_name="pdf_ocr")
|
||||
doc2x_api_key = DOC2X_API_KEY
|
||||
if doc2x_api_key.startswith('sk-'):
|
||||
url = "https://api.doc2x.noedgeai.com/api/v1/pdf"
|
||||
else:
|
||||
doc2x_api_key = refresh_key(doc2x_api_key)
|
||||
url = "https://api.doc2x.noedgeai.com/api/platform/pdf"
|
||||
|
||||
|
||||
# < ------ 第1步:上传 ------ >
|
||||
logger.info("Doc2x 第1步:上传")
|
||||
with open(pdf_file_path, 'rb') as file:
|
||||
res = requests.post(
|
||||
"https://v2.doc2x.noedgeai.com/api/v2/parse/pdf",
|
||||
headers={"Authorization": "Bearer " + doc2x_api_key},
|
||||
data=file
|
||||
)
|
||||
# res_json = []
|
||||
if res.status_code == 200:
|
||||
res_json = res.json()
|
||||
else:
|
||||
raise RuntimeError(f"Doc2x return an error: {res.json()}")
|
||||
uuid = res_json['data']['uid']
|
||||
|
||||
# < ------ 第2步:轮询等待 ------ >
|
||||
logger.info("Doc2x 第2步:轮询等待")
|
||||
params = {'uid': uuid}
|
||||
while True:
|
||||
res = requests.get(
|
||||
'https://v2.doc2x.noedgeai.com/api/v2/parse/status',
|
||||
headers={"Authorization": "Bearer " + doc2x_api_key},
|
||||
params=params
|
||||
)
|
||||
res_json = res.json()
|
||||
if res_json['data']['status'] == "success":
|
||||
break
|
||||
elif res_json['data']['status'] == "processing":
|
||||
time.sleep(3)
|
||||
logger.info(f"Doc2x is processing at {res_json['data']['progress']}%")
|
||||
elif res_json['data']['status'] == "failed":
|
||||
raise RuntimeError(f"Doc2x return an error: {res_json}")
|
||||
|
||||
|
||||
# < ------ 第3步:提交转化 ------ >
|
||||
logger.info("Doc2x 第3步:提交转化")
|
||||
data = {
|
||||
"uid": uuid,
|
||||
"to": format,
|
||||
"formula_mode": "dollar",
|
||||
"filename": "output"
|
||||
}
|
||||
res = requests.post(
|
||||
url,
|
||||
files={"file": open(pdf_file_path, "rb")},
|
||||
data={"ocr": "1"},
|
||||
headers={"Authorization": "Bearer " + doc2x_api_key}
|
||||
'https://v2.doc2x.noedgeai.com/api/v2/convert/parse',
|
||||
headers={"Authorization": "Bearer " + doc2x_api_key},
|
||||
json=data
|
||||
)
|
||||
res_json = []
|
||||
if res.status_code == 200:
|
||||
decoded = res.content.decode("utf-8")
|
||||
for z_decoded in decoded.split('\n'):
|
||||
if len(z_decoded) == 0: continue
|
||||
assert z_decoded.startswith("data: ")
|
||||
z_decoded = z_decoded[len("data: "):]
|
||||
decoded_json = json.loads(z_decoded)
|
||||
res_json.append(decoded_json)
|
||||
res_json = res.json()
|
||||
else:
|
||||
raise RuntimeError(format("[ERROR] status code: %d, body: %s" % (res.status_code, res.text)))
|
||||
raise RuntimeError(f"Doc2x return an error: {res.json()}")
|
||||
|
||||
uuid = res_json[0]['uuid']
|
||||
to = "latex" # latex, md, docx
|
||||
url = "https://api.doc2x.noedgeai.com/api/export"+"?request_id="+uuid+"&to="+to
|
||||
|
||||
res = requests.get(url, headers={"Authorization": "Bearer " + doc2x_api_key})
|
||||
latex_zip_path = os.path.join(latex_dir, gen_time_str() + '.zip')
|
||||
latex_unzip_path = os.path.join(latex_dir, gen_time_str())
|
||||
if res.status_code == 200:
|
||||
with open(latex_zip_path, "wb") as f: f.write(res.content)
|
||||
else:
|
||||
raise RuntimeError(format("[ERROR] status code: %d, body: %s" % (res.status_code, res.text)))
|
||||
# < ------ 第4步:等待结果 ------ >
|
||||
logger.info("Doc2x 第4步:等待结果")
|
||||
params = {'uid': uuid}
|
||||
while True:
|
||||
res = requests.get(
|
||||
'https://v2.doc2x.noedgeai.com/api/v2/convert/parse/result',
|
||||
headers={"Authorization": "Bearer " + doc2x_api_key},
|
||||
params=params
|
||||
)
|
||||
res_json = res.json()
|
||||
if res_json['data']['status'] == "success":
|
||||
break
|
||||
elif res_json['data']['status'] == "processing":
|
||||
time.sleep(3)
|
||||
logger.info(f"Doc2x still processing")
|
||||
elif res_json['data']['status'] == "failed":
|
||||
raise RuntimeError(f"Doc2x return an error: {res_json}")
|
||||
|
||||
|
||||
# < ------ 第5步:最后的处理 ------ >
|
||||
logger.info("Doc2x 第5步:最后的处理")
|
||||
|
||||
if format=='tex':
|
||||
target_path = latex_dir
|
||||
if format=='md':
|
||||
target_path = markdown_dir
|
||||
os.makedirs(target_path, exist_ok=True)
|
||||
|
||||
max_attempt = 3
|
||||
# < ------ 下载 ------ >
|
||||
for attempt in range(max_attempt):
|
||||
try:
|
||||
result_url = res_json['data']['url']
|
||||
res = requests.get(result_url)
|
||||
zip_path = os.path.join(target_path, gen_time_str() + '.zip')
|
||||
unzip_path = os.path.join(target_path, gen_time_str())
|
||||
if res.status_code == 200:
|
||||
with open(zip_path, "wb") as f: f.write(res.content)
|
||||
else:
|
||||
raise RuntimeError(f"Doc2x return an error: {res.json()}")
|
||||
except Exception as e:
|
||||
if attempt < max_attempt - 1:
|
||||
logger.error(f"Failed to download latex file, retrying... {e}")
|
||||
time.sleep(3)
|
||||
continue
|
||||
else:
|
||||
raise e
|
||||
|
||||
# < ------ 解压 ------ >
|
||||
import zipfile
|
||||
with zipfile.ZipFile(latex_zip_path, 'r') as zip_ref:
|
||||
zip_ref.extractall(latex_unzip_path)
|
||||
|
||||
|
||||
return latex_unzip_path
|
||||
|
||||
|
||||
with zipfile.ZipFile(zip_path, 'r') as zip_ref:
|
||||
zip_ref.extractall(unzip_path)
|
||||
return zip_path, unzip_path
|
||||
|
||||
|
||||
def 解析PDF_DOC2X_单文件(fp, project_folder, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, DOC2X_API_KEY, user_request):
|
||||
|
||||
|
||||
def pdf2markdown(filepath):
|
||||
import requests, json, os
|
||||
markdown_dir = get_log_folder(plugin_name="pdf_ocr")
|
||||
doc2x_api_key = DOC2X_API_KEY
|
||||
if doc2x_api_key.startswith('sk-'):
|
||||
url = "https://api.doc2x.noedgeai.com/api/v1/pdf"
|
||||
else:
|
||||
doc2x_api_key = refresh_key(doc2x_api_key)
|
||||
url = "https://api.doc2x.noedgeai.com/api/platform/pdf"
|
||||
|
||||
chatbot.append((None, "加载PDF文件,发送至DOC2X解析..."))
|
||||
chatbot.append((None, f"Doc2x 解析中"))
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
|
||||
res = requests.post(
|
||||
url,
|
||||
files={"file": open(filepath, "rb")},
|
||||
data={"ocr": "1"},
|
||||
headers={"Authorization": "Bearer " + doc2x_api_key}
|
||||
)
|
||||
res_json = []
|
||||
if res.status_code == 200:
|
||||
decoded = res.content.decode("utf-8")
|
||||
for z_decoded in decoded.split('\n'):
|
||||
if len(z_decoded) == 0: continue
|
||||
assert z_decoded.startswith("data: ")
|
||||
z_decoded = z_decoded[len("data: "):]
|
||||
decoded_json = json.loads(z_decoded)
|
||||
res_json.append(decoded_json)
|
||||
if 'limit exceeded' in decoded_json.get('status', ''):
|
||||
raise RuntimeError("Doc2x API 页数受限,请联系 Doc2x 方面,并更换新的 API 秘钥。")
|
||||
else:
|
||||
raise RuntimeError(format("[ERROR] status code: %d, body: %s" % (res.status_code, res.text)))
|
||||
uuid = res_json[0]['uuid']
|
||||
to = "md" # latex, md, docx
|
||||
url = "https://api.doc2x.noedgeai.com/api/export"+"?request_id="+uuid+"&to="+to
|
||||
md_zip_path, unzipped_folder = 解析PDF_DOC2X(filepath, format='md')
|
||||
|
||||
chatbot.append((None, f"读取解析: {url} ..."))
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
|
||||
res = requests.get(url, headers={"Authorization": "Bearer " + doc2x_api_key})
|
||||
md_zip_path = os.path.join(markdown_dir, gen_time_str() + '.zip')
|
||||
if res.status_code == 200:
|
||||
with open(md_zip_path, "wb") as f: f.write(res.content)
|
||||
else:
|
||||
raise RuntimeError(format("[ERROR] status code: %d, body: %s" % (res.status_code, res.text)))
|
||||
promote_file_to_downloadzone(md_zip_path, chatbot=chatbot)
|
||||
chatbot.append((None, f"完成解析 {md_zip_path} ..."))
|
||||
yield from update_ui(chatbot=chatbot, history=history) # 刷新界面
|
||||
|
||||
@@ -180,6 +180,7 @@ version: '3'
|
||||
services:
|
||||
gpt_academic_with_latex:
|
||||
image: ghcr.io/binary-husky/gpt_academic_with_latex:master # (Auto Built by Dockerfile: docs/GithubAction+NoLocal+Latex)
|
||||
# 对于ARM64设备,请将以上镜像名称替换为 ghcr.io/binary-husky/gpt_academic_with_latex_arm:master
|
||||
environment:
|
||||
# 请查阅 `config.py` 以查看所有的配置信息
|
||||
API_KEY: ' sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx '
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
# 此Dockerfile适用于“无本地模型”的环境构建,如果需要使用chatglm等本地模型,请参考 docs/Dockerfile+ChatGLM
|
||||
# 此Dockerfile适用于"无本地模型"的环境构建,如果需要使用chatglm等本地模型,请参考 docs/Dockerfile+ChatGLM
|
||||
# - 1 修改 `config.py`
|
||||
# - 2 构建 docker build -t gpt-academic-nolocal-latex -f docs/GithubAction+NoLocal+Latex .
|
||||
# - 3 运行 docker run -v /home/fuqingxu/arxiv_cache:/root/arxiv_cache --rm -it --net=host gpt-academic-nolocal-latex
|
||||
@@ -7,15 +7,28 @@ FROM menghuan1918/ubuntu_uv_ctex:latest
|
||||
ENV DEBIAN_FRONTEND=noninteractive
|
||||
SHELL ["/bin/bash", "-c"]
|
||||
WORKDIR /gpt
|
||||
COPY . .
|
||||
RUN /root/.cargo/bin/uv venv --seed \
|
||||
&& source .venv/bin/activate \
|
||||
&& /root/.cargo/bin/uv pip install openai numpy arxiv rich colorama Markdown pygments pymupdf python-docx pdfminer \
|
||||
&& /root/.cargo/bin/uv pip install -r requirements.txt \
|
||||
&& /root/.cargo/bin/uv clean
|
||||
|
||||
# 先复制依赖文件
|
||||
COPY requirements.txt .
|
||||
|
||||
# 安装依赖
|
||||
RUN pip install --break-system-packages openai numpy arxiv rich colorama Markdown pygments pymupdf python-docx pdfminer \
|
||||
&& pip install --break-system-packages -r requirements.txt \
|
||||
&& if [ "$(uname -m)" = "x86_64" ]; then \
|
||||
pip install --break-system-packages nougat-ocr; \
|
||||
fi \
|
||||
&& pip cache purge \
|
||||
&& rm -rf /root/.cache/pip/*
|
||||
|
||||
# 创建非root用户
|
||||
RUN useradd -m gptuser && chown -R gptuser /gpt
|
||||
USER gptuser
|
||||
|
||||
# 最后才复制代码文件,这样代码更新时只需重建最后几层,可以大幅减少docker pull所需的大小
|
||||
COPY --chown=gptuser:gptuser . .
|
||||
|
||||
# 可选步骤,用于预热模块
|
||||
RUN .venv/bin/python3 -c 'from check_proxy import warm_up_modules; warm_up_modules()'
|
||||
RUN python3 -c 'from check_proxy import warm_up_modules; warm_up_modules()'
|
||||
|
||||
# 启动
|
||||
CMD [".venv/bin/python3", "-u", "main.py"]
|
||||
CMD ["python3", "-u", "main.py"]
|
||||
|
||||
@@ -149,6 +149,19 @@
|
||||
DEFINE_ARG_INPUT_INTERFACE = json.dumps(define_arg_selection)
|
||||
return base64.b64encode(DEFINE_ARG_INPUT_INTERFACE.encode('utf-8')).decode('utf-8')
|
||||
```
|
||||
1-2. 预留4个动态插件按钮(常规状态隐藏)
|
||||
|
||||
点击 “+插件按钮”:跳转到插件市场
|
||||
|
||||
点击 加载插件:
|
||||
- 下载文件
|
||||
- 注册 exe_dynamic_plugin开始执行
|
||||
- 执行浏览器js函数
|
||||
|
||||
点击动态插件按钮
|
||||
- js: 检查register_advanced_plugin_init_code_arr,如果为空,提示
|
||||
- 如果非空,先跳二级菜单,设定诸元后,执行一个隐藏的按钮 -- 关联 exe_dynamic_plugin
|
||||
- exe_dynamic_plugin开始执行
|
||||
|
||||
|
||||
2. 用户加载阶段(主javascript程序`common.js`中),浏览器加载`register_advanced_plugin_init_code_arr`,存入本地的字典`advanced_plugin_init_code_lib`:
|
||||
|
||||
@@ -256,6 +256,8 @@ model_info = {
|
||||
"max_token": 128000,
|
||||
"tokenizer": tokenizer_gpt4,
|
||||
"token_cnt": get_token_num_gpt4,
|
||||
"openai_disable_system_prompt": True,
|
||||
"openai_disable_stream": True,
|
||||
},
|
||||
"o1-mini": {
|
||||
"fn_with_ui": chatgpt_ui,
|
||||
@@ -264,6 +266,8 @@ model_info = {
|
||||
"max_token": 128000,
|
||||
"tokenizer": tokenizer_gpt4,
|
||||
"token_cnt": get_token_num_gpt4,
|
||||
"openai_disable_system_prompt": True,
|
||||
"openai_disable_stream": True,
|
||||
},
|
||||
|
||||
"gpt-4-turbo": {
|
||||
@@ -381,6 +385,14 @@ model_info = {
|
||||
"tokenizer": tokenizer_gpt35,
|
||||
"token_cnt": get_token_num_gpt35,
|
||||
},
|
||||
"glm-4-plus":{
|
||||
"fn_with_ui": zhipu_ui,
|
||||
"fn_without_ui": zhipu_noui,
|
||||
"endpoint": None,
|
||||
"max_token": 10124 * 8,
|
||||
"tokenizer": tokenizer_gpt35,
|
||||
"token_cnt": get_token_num_gpt35,
|
||||
},
|
||||
|
||||
# api_2d (此后不需要在此处添加api2d的接口了,因为下面的代码会自动添加)
|
||||
"api2d-gpt-4": {
|
||||
@@ -1281,4 +1293,3 @@ def predict(inputs:str, llm_kwargs:dict, plugin_kwargs:dict, chatbot,
|
||||
|
||||
# 更新一下llm_kwargs的参数,否则会出现参数不匹配的问题
|
||||
yield from method(inputs, llm_kwargs, plugin_kwargs, chatbot, history, system_prompt, stream, additional_fn)
|
||||
|
||||
|
||||
@@ -202,10 +202,13 @@ def predict_no_ui_long_connection(inputs:str, llm_kwargs:dict, history:list=[],
|
||||
if (time.time()-observe_window[1]) > watch_dog_patience:
|
||||
raise RuntimeError("用户取消了程序。")
|
||||
else: raise RuntimeError("意外Json结构:"+delta)
|
||||
if json_data and json_data['finish_reason'] == 'content_filter':
|
||||
raise RuntimeError("由于提问含不合规内容被Azure过滤。")
|
||||
if json_data and json_data['finish_reason'] == 'length':
|
||||
|
||||
finish_reason = json_data.get('finish_reason', None) if json_data else None
|
||||
if finish_reason == 'content_filter':
|
||||
raise RuntimeError("由于提问含不合规内容被过滤。")
|
||||
if finish_reason == 'length':
|
||||
raise ConnectionAbortedError("正常结束,但显示Token不足,导致输出不完整,请削减单次输入的文本量。")
|
||||
|
||||
return result
|
||||
|
||||
|
||||
@@ -536,4 +539,3 @@ def generate_payload(inputs:str, llm_kwargs:dict, history:list, system_prompt:st
|
||||
|
||||
return headers,payload
|
||||
|
||||
|
||||
|
||||
@@ -138,7 +138,9 @@ def start_app(app_block, CONCURRENT_COUNT, AUTHENTICATION, PORT, SSL_KEYFILE, SS
|
||||
app_block.is_sagemaker = False
|
||||
|
||||
gradio_app = App.create_app(app_block)
|
||||
|
||||
for route in list(gradio_app.router.routes):
|
||||
if route.path == "/proxy={url_path:path}":
|
||||
gradio_app.router.routes.remove(route)
|
||||
# --- --- replace gradio endpoint to forbid access to sensitive files --- ---
|
||||
if len(AUTHENTICATION) > 0:
|
||||
dependencies = []
|
||||
@@ -154,9 +156,13 @@ def start_app(app_block, CONCURRENT_COUNT, AUTHENTICATION, PORT, SSL_KEYFILE, SS
|
||||
@gradio_app.head("/file={path_or_url:path}", dependencies=dependencies)
|
||||
@gradio_app.get("/file={path_or_url:path}", dependencies=dependencies)
|
||||
async def file(path_or_url: str, request: fastapi.Request):
|
||||
if len(AUTHENTICATION) > 0:
|
||||
if not _authorize_user(path_or_url, request, gradio_app):
|
||||
return "越权访问!"
|
||||
if not _authorize_user(path_or_url, request, gradio_app):
|
||||
return "越权访问!"
|
||||
stripped = path_or_url.lstrip().lower()
|
||||
if stripped.startswith("https://") or stripped.startswith("http://"):
|
||||
return "账户密码授权模式下, 禁止链接!"
|
||||
if '../' in stripped:
|
||||
return "非法路径!"
|
||||
return await endpoint(path_or_url, request)
|
||||
|
||||
from fastapi import Request, status
|
||||
@@ -167,6 +173,26 @@ def start_app(app_block, CONCURRENT_COUNT, AUTHENTICATION, PORT, SSL_KEYFILE, SS
|
||||
response.delete_cookie('access-token')
|
||||
response.delete_cookie('access-token-unsecure')
|
||||
return response
|
||||
else:
|
||||
dependencies = []
|
||||
endpoint = None
|
||||
for route in list(gradio_app.router.routes):
|
||||
if route.path == "/file/{path:path}":
|
||||
gradio_app.router.routes.remove(route)
|
||||
if route.path == "/file={path_or_url:path}":
|
||||
dependencies = route.dependencies
|
||||
endpoint = route.endpoint
|
||||
gradio_app.router.routes.remove(route)
|
||||
@gradio_app.get("/file/{path:path}", dependencies=dependencies)
|
||||
@gradio_app.head("/file={path_or_url:path}", dependencies=dependencies)
|
||||
@gradio_app.get("/file={path_or_url:path}", dependencies=dependencies)
|
||||
async def file(path_or_url: str, request: fastapi.Request):
|
||||
stripped = path_or_url.lstrip().lower()
|
||||
if stripped.startswith("https://") or stripped.startswith("http://"):
|
||||
return "账户密码授权模式下, 禁止链接!"
|
||||
if '../' in stripped:
|
||||
return "非法路径!"
|
||||
return await endpoint(path_or_url, request)
|
||||
|
||||
# --- --- enable TTS (text-to-speech) functionality --- ---
|
||||
TTS_TYPE = get_conf("TTS_TYPE")
|
||||
|
||||
@@ -104,17 +104,27 @@ def extract_archive(file_path, dest_dir):
|
||||
logger.info("Successfully extracted zip archive to {}".format(dest_dir))
|
||||
|
||||
elif file_extension in [".tar", ".gz", ".bz2"]:
|
||||
with tarfile.open(file_path, "r:*") as tarobj:
|
||||
# 清理提取路径,移除任何不安全的元素
|
||||
for member in tarobj.getmembers():
|
||||
member_path = os.path.normpath(member.name)
|
||||
full_path = os.path.join(dest_dir, member_path)
|
||||
full_path = os.path.abspath(full_path)
|
||||
if not full_path.startswith(os.path.abspath(dest_dir) + os.sep):
|
||||
raise Exception(f"Attempted Path Traversal in {member.name}")
|
||||
try:
|
||||
with tarfile.open(file_path, "r:*") as tarobj:
|
||||
# 清理提取路径,移除任何不安全的元素
|
||||
for member in tarobj.getmembers():
|
||||
member_path = os.path.normpath(member.name)
|
||||
full_path = os.path.join(dest_dir, member_path)
|
||||
full_path = os.path.abspath(full_path)
|
||||
if not full_path.startswith(os.path.abspath(dest_dir) + os.sep):
|
||||
raise Exception(f"Attempted Path Traversal in {member.name}")
|
||||
|
||||
tarobj.extractall(path=dest_dir)
|
||||
logger.info("Successfully extracted tar archive to {}".format(dest_dir))
|
||||
tarobj.extractall(path=dest_dir)
|
||||
logger.info("Successfully extracted tar archive to {}".format(dest_dir))
|
||||
except tarfile.ReadError as e:
|
||||
if file_extension == ".gz":
|
||||
# 一些特别奇葩的项目,是一个gz文件,里面不是tar,只有一个tex文件
|
||||
import gzip
|
||||
with gzip.open(file_path, 'rb') as f_in:
|
||||
with open(os.path.join(dest_dir, 'main.tex'), 'wb') as f_out:
|
||||
f_out.write(f_in.read())
|
||||
else:
|
||||
raise e
|
||||
|
||||
# 第三方库,需要预先pip install rarfile
|
||||
# 此外,Windows上还需要安装winrar软件,配置其Path环境变量,如"C:\Program Files\WinRAR"才可以
|
||||
|
||||
@@ -14,6 +14,7 @@ openai_regex = re.compile(
|
||||
r"sk-[a-zA-Z0-9_-]{92}$|" +
|
||||
r"sk-proj-[a-zA-Z0-9_-]{48}$|"+
|
||||
r"sk-proj-[a-zA-Z0-9_-]{124}$|"+
|
||||
r"sk-proj-[a-zA-Z0-9_-]{156}$|"+ #新版apikey位数不匹配故修改此正则表达式
|
||||
r"sess-[a-zA-Z0-9]{40}$"
|
||||
)
|
||||
def is_openai_api_key(key):
|
||||
|
||||
7
tests/test_doc2x.py
普通文件
7
tests/test_doc2x.py
普通文件
@@ -0,0 +1,7 @@
|
||||
import init_test
|
||||
|
||||
from crazy_functions.pdf_fns.parse_pdf_via_doc2x import 解析PDF_DOC2X_转Latex
|
||||
|
||||
# 解析PDF_DOC2X_转Latex("gpt_log/arxiv_cache_old/2410.10819/workfolder/merge.pdf")
|
||||
# 解析PDF_DOC2X_转Latex("gpt_log/arxiv_cache_ooo/2410.07095/workfolder/merge.pdf")
|
||||
解析PDF_DOC2X_转Latex("2410.11190v2.pdf")
|
||||
@@ -36,7 +36,7 @@ if __name__ == "__main__":
|
||||
|
||||
# plugin_test(plugin='crazy_functions.SourceCode_Analyse->解析一个C项目', main_input="crazy_functions/test_project/cpp/cppipc")
|
||||
|
||||
# plugin_test(plugin='crazy_functions.Latex全文润色->Latex英文润色', main_input="crazy_functions/test_project/latex/attention")
|
||||
# plugin_test(plugin='crazy_functions.Latex_Project_Polish->Latex英文润色', main_input="crazy_functions/test_project/latex/attention")
|
||||
|
||||
# plugin_test(plugin='crazy_functions.Markdown_Translate->Markdown中译英', main_input="README.md")
|
||||
|
||||
@@ -65,8 +65,3 @@ if __name__ == "__main__":
|
||||
|
||||
# plugin_test(plugin='crazy_functions.Latex_Function->Latex翻译中文并重新编译PDF', main_input="2210.03629")
|
||||
|
||||
# advanced_arg = {"advanced_arg":"--llm_to_learn=gpt-3.5-turbo --prompt_prefix='根据下面的服装类型提示,想象一个穿着者,对这个人外貌、身处的环境、内心世界、人设进行描写。要求:100字以内,用第二人称。' --system_prompt=''" }
|
||||
# plugin_test(plugin='crazy_functions.chatglm微调工具->微调数据集生成', main_input='build/dev.json', advanced_arg=advanced_arg)
|
||||
|
||||
# advanced_arg = {"advanced_arg":"--pre_seq_len=128 --learning_rate=2e-2 --num_gpus=1 --json_dataset='t_code.json' --ptuning_directory='/home/hmp/ChatGLM2-6B/ptuning' " }
|
||||
# plugin_test(plugin='crazy_functions.chatglm微调工具->启动微调', main_input='build/dev.json', advanced_arg=advanced_arg)
|
||||
|
||||
在新工单中引用
屏蔽一个用户