镜像自地址
https://github.com/binary-husky/gpt_academic.git
已同步 2025-12-07 15:06:48 +00:00
比较提交
11 次代码提交
frontier_1
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51
.github/workflows/build-with-latex-arm.yml
vendored
普通文件
51
.github/workflows/build-with-latex-arm.yml
vendored
普通文件
@@ -0,0 +1,51 @@
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# https://docs.github.com/en/actions/publishing-packages/publishing-docker-images#publishing-images-to-github-packages
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name: build-with-latex-arm
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on:
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push:
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branches:
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- "master"
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env:
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REGISTRY: ghcr.io
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IMAGE_NAME: ${{ github.repository }}_with_latex_arm
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jobs:
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build-and-push-image:
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runs-on: ubuntu-latest
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permissions:
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contents: read
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packages: write
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steps:
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- name: Set up QEMU
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uses: docker/setup-qemu-action@v3
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- name: Set up Docker Buildx
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uses: docker/setup-buildx-action@v3
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- name: Checkout repository
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uses: actions/checkout@v4
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- name: Log in to the Container registry
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uses: docker/login-action@v3
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with:
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registry: ${{ env.REGISTRY }}
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username: ${{ github.actor }}
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password: ${{ secrets.GITHUB_TOKEN }}
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- name: Extract metadata (tags, labels) for Docker
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id: meta
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uses: docker/metadata-action@v4
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with:
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images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
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||||||
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- name: Build and push Docker image
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uses: docker/build-push-action@v6
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with:
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context: .
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push: true
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platforms: linux/arm64
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file: docs/GithubAction+NoLocal+Latex+Arm
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tags: ${{ steps.meta.outputs.tags }}
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labels: ${{ steps.meta.outputs.labels }}
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@@ -138,25 +138,43 @@ def arxiv_download(chatbot, history, txt, allow_cache=True):
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cached_translation_pdf = check_cached_translation_pdf(arxiv_id)
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cached_translation_pdf = check_cached_translation_pdf(arxiv_id)
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if cached_translation_pdf and allow_cache: return cached_translation_pdf, arxiv_id
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if cached_translation_pdf and allow_cache: return cached_translation_pdf, arxiv_id
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|
||||||
url_tar = url_.replace('/abs/', '/e-print/')
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|
||||||
translation_dir = pj(ARXIV_CACHE_DIR, arxiv_id, 'e-print')
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|
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extract_dst = pj(ARXIV_CACHE_DIR, arxiv_id, 'extract')
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extract_dst = pj(ARXIV_CACHE_DIR, arxiv_id, 'extract')
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os.makedirs(translation_dir, exist_ok=True)
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translation_dir = pj(ARXIV_CACHE_DIR, arxiv_id, 'e-print')
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||||||
# <-------------- download arxiv source file ------------->
|
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||||||
dst = pj(translation_dir, arxiv_id + '.tar')
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dst = pj(translation_dir, arxiv_id + '.tar')
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if os.path.exists(dst):
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os.makedirs(translation_dir, exist_ok=True)
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||||||
yield from update_ui_lastest_msg("调用缓存", chatbot=chatbot, history=history) # 刷新界面
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# <-------------- download arxiv source file ------------->
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||||||
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||||||
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def fix_url_and_download():
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||||||
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# for url_tar in [url_.replace('/abs/', '/e-print/'), url_.replace('/abs/', '/src/')]:
|
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for url_tar in [url_.replace('/abs/', '/src/'), url_.replace('/abs/', '/e-print/')]:
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proxies = get_conf('proxies')
|
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|
r = requests.get(url_tar, proxies=proxies)
|
||||||
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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:
|
else:
|
||||||
yield from update_ui_lastest_msg("开始下载", chatbot=chatbot, history=history) # 刷新界面
|
yield from update_ui_lastest_msg(f"开始下载 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面
|
||||||
proxies = get_conf('proxies')
|
success = fix_url_and_download()
|
||||||
r = requests.get(url_tar, proxies=proxies)
|
yield from update_ui_lastest_msg(f"下载完成 {arxiv_id}", chatbot=chatbot, history=history) # 刷新界面
|
||||||
with open(dst, 'wb+') as f:
|
|
||||||
f.write(r.content)
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|
||||||
|
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 ------------->
|
# <-------------- 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
|
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
|
return extract_dst, arxiv_id
|
||||||
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|
||||||
|
|
||||||
|
|||||||
@@ -644,6 +644,213 @@ def run_in_subprocess(func):
|
|||||||
|
|
||||||
|
|
||||||
def _merge_pdfs(pdf1_path, pdf2_path, output_path):
|
def _merge_pdfs(pdf1_path, pdf2_path, output_path):
|
||||||
|
try:
|
||||||
|
logger.info("Merging PDFs using _merge_pdfs_ng")
|
||||||
|
_merge_pdfs_ng(pdf1_path, pdf2_path, output_path)
|
||||||
|
except:
|
||||||
|
logger.info("Merging PDFs using _merge_pdfs_legacy")
|
||||||
|
_merge_pdfs_legacy(pdf1_path, pdf2_path, output_path)
|
||||||
|
|
||||||
|
|
||||||
|
def _merge_pdfs_ng(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
|
||||||
|
from PyPDF2.generic import NameObject, TextStringObject, ArrayObject, FloatObject, NumberObject
|
||||||
|
|
||||||
|
Percent = 1
|
||||||
|
# raise RuntimeError('PyPDF2 has a serious memory leak problem, please use other tools to merge PDF files.')
|
||||||
|
# Open the first PDF file
|
||||||
|
with open(pdf1_path, "rb") as pdf1_file:
|
||||||
|
pdf1_reader = PyPDF2.PdfFileReader(pdf1_file)
|
||||||
|
# Open the second PDF file
|
||||||
|
with open(pdf2_path, "rb") as pdf2_file:
|
||||||
|
pdf2_reader = PyPDF2.PdfFileReader(pdf2_file)
|
||||||
|
# Create a new PDF file to store the merged pages
|
||||||
|
output_writer = PyPDF2.PdfFileWriter()
|
||||||
|
# Determine the number of pages in each PDF file
|
||||||
|
num_pages = max(pdf1_reader.numPages, pdf2_reader.numPages)
|
||||||
|
# Merge the pages from the two PDF files
|
||||||
|
for page_num in range(num_pages):
|
||||||
|
# Add the page from the first PDF file
|
||||||
|
if page_num < pdf1_reader.numPages:
|
||||||
|
page1 = pdf1_reader.getPage(page_num)
|
||||||
|
else:
|
||||||
|
page1 = PyPDF2.PageObject.createBlankPage(pdf1_reader)
|
||||||
|
# Add the page from the second PDF file
|
||||||
|
if page_num < pdf2_reader.numPages:
|
||||||
|
page2 = pdf2_reader.getPage(page_num)
|
||||||
|
else:
|
||||||
|
page2 = PyPDF2.PageObject.createBlankPage(pdf1_reader)
|
||||||
|
# Create a new empty page with double width
|
||||||
|
new_page = PyPDF2.PageObject.createBlankPage(
|
||||||
|
width=int(
|
||||||
|
int(page1.mediaBox.getWidth())
|
||||||
|
+ int(page2.mediaBox.getWidth()) * Percent
|
||||||
|
),
|
||||||
|
height=max(page1.mediaBox.getHeight(), page2.mediaBox.getHeight()),
|
||||||
|
)
|
||||||
|
new_page.mergeTranslatedPage(page1, 0, 0)
|
||||||
|
new_page.mergeTranslatedPage(
|
||||||
|
page2,
|
||||||
|
int(
|
||||||
|
int(page1.mediaBox.getWidth())
|
||||||
|
- int(page2.mediaBox.getWidth()) * (1 - Percent)
|
||||||
|
),
|
||||||
|
0,
|
||||||
|
)
|
||||||
|
if "/Annots" in new_page:
|
||||||
|
annotations = new_page["/Annots"]
|
||||||
|
for i, annot in enumerate(annotations):
|
||||||
|
annot_obj = annot.get_object()
|
||||||
|
|
||||||
|
# 检查注释类型是否是链接(/Link)
|
||||||
|
if annot_obj.get("/Subtype") == "/Link":
|
||||||
|
# 检查是否为内部链接跳转(/GoTo)或外部URI链接(/URI)
|
||||||
|
action = annot_obj.get("/A")
|
||||||
|
if action:
|
||||||
|
|
||||||
|
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:
|
||||||
|
if dest in pdf2_reader.named_destinations:
|
||||||
|
# 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]
|
||||||
|
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:
|
||||||
|
|
||||||
|
# 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
|
||||||
|
)
|
||||||
|
)
|
||||||
|
# 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
|
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
|
||||||
|
|
||||||
Percent = 0.95
|
Percent = 0.95
|
||||||
|
|||||||
@@ -0,0 +1,25 @@
|
|||||||
|
# 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
|
||||||
|
|
||||||
|
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
|
||||||
|
|
||||||
|
# 对齐python3
|
||||||
|
RUN rm -f /usr/bin/python3 && ln -s /gpt/.venv/bin/python /usr/bin/python3
|
||||||
|
RUN rm -f /usr/bin/python && ln -s /gpt/.venv/bin/python /usr/bin/python
|
||||||
|
|
||||||
|
# 可选步骤,用于预热模块
|
||||||
|
RUN python3 -c 'from check_proxy import warm_up_modules; warm_up_modules()'
|
||||||
|
|
||||||
|
# 启动
|
||||||
|
CMD ["python3", "-u", "main.py"]
|
||||||
@@ -256,6 +256,8 @@ model_info = {
|
|||||||
"max_token": 128000,
|
"max_token": 128000,
|
||||||
"tokenizer": tokenizer_gpt4,
|
"tokenizer": tokenizer_gpt4,
|
||||||
"token_cnt": get_token_num_gpt4,
|
"token_cnt": get_token_num_gpt4,
|
||||||
|
"openai_disable_system_prompt": True,
|
||||||
|
"openai_disable_stream": True,
|
||||||
},
|
},
|
||||||
"o1-mini": {
|
"o1-mini": {
|
||||||
"fn_with_ui": chatgpt_ui,
|
"fn_with_ui": chatgpt_ui,
|
||||||
@@ -264,6 +266,8 @@ model_info = {
|
|||||||
"max_token": 128000,
|
"max_token": 128000,
|
||||||
"tokenizer": tokenizer_gpt4,
|
"tokenizer": tokenizer_gpt4,
|
||||||
"token_cnt": get_token_num_gpt4,
|
"token_cnt": get_token_num_gpt4,
|
||||||
|
"openai_disable_system_prompt": True,
|
||||||
|
"openai_disable_stream": True,
|
||||||
},
|
},
|
||||||
|
|
||||||
"gpt-4-turbo": {
|
"gpt-4-turbo": {
|
||||||
@@ -1281,4 +1285,3 @@ 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
|
# 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)
|
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:
|
if (time.time()-observe_window[1]) > watch_dog_patience:
|
||||||
raise RuntimeError("用户取消了程序。")
|
raise RuntimeError("用户取消了程序。")
|
||||||
else: raise RuntimeError("意外Json结构:"+delta)
|
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。")
|
finish_reason = json_data.get('finish_reason', None) if json_data else None
|
||||||
if json_data and json_data['finish_reason'] == 'length':
|
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。")
|
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
|
return result
|
||||||
|
|
||||||
|
|
||||||
@@ -536,4 +539,3 @@ def generate_payload(inputs:str, llm_kwargs:dict, history:list, system_prompt:st
|
|||||||
|
|
||||||
return headers,payload
|
return headers,payload
|
||||||
|
|
||||||
|
|
||||||
|
|||||||
在新工单中引用
屏蔽一个用户