From 1c1c68a21431882bd8d7f6d3868e6af1e837fb54 Mon Sep 17 00:00:00 2001 From: nite Date: Sat, 18 Apr 2026 18:42:42 +1000 Subject: [PATCH] =?UTF-8?q?refactor:=20=E7=BB=9F=E4=B8=80=E4=BD=BF?= =?UTF-8?q?=E7=94=A8=20OpenAI=20=E5=85=BC=E5=AE=B9=20API=EF=BC=8C=E6=94=AF?= =?UTF-8?q?=E6=8C=81=E8=87=AA=E5=AE=9A=E4=B9=89=20base=5Furl/key/model?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit - 移除 Gemini 和 Ollama 独立适配，统一使用 ChatOpenAI + base_url - config.ini 简化为 BASE_URL / API_KEY / MODEL / TEMPERATURE / MAX_RETRIES - 新增 config.example.ini 示例配置 - 移除 langchain-google-genai / langchain-ollama / pymupdf 依赖 - main.py 新增断点续跑：跳过已有 index.md / index_refined.md - LLM 请求支持 max_retries 自动重试（默认 3 次） - 优化 README --- README.md | 112 +- config.example.ini | 8 + llm.py | 62 +- main.py | 22 +- pdf_convertor.py | 86 +- pyproject.toml | 4 - uv.lock | 3177 ++++++++++++++++++-------------------------- 7 files changed, 1399 insertions(+), 2072 deletions(-) create mode 100644 config.example.ini diff --git a/README.md b/README.md index b54ec7e..3a82cc5 100755 --- a/README.md +++ b/README.md @@ -1,62 +1,86 @@ -## 留子课程幻灯片整理翻译工具 +# 留子课程幻灯片整理翻译工具 -本工具旨在为海外留学生提供一个高效、智能的课程资料处理解决方案，以应对他们在学习过程中遇到的语言障碍和复杂的幻灯片整理挑战。 +将课程 PDF 幻灯片自动转换为结构化中文 Markdown，利用 LLM 优化排版、解释图片、翻译并保留英文专业术语。 -许多留学生在面对英文或其他语言的课程幻灯片时，不仅需要理解专业内容，还要克服语言隔阂，并且手动整理和翻译耗时费力，容易遗漏关键信息，尤其是在处理含有大量图表的幻灯片时。 +## 功能 -### 程序功能 +- **PDF → Markdown**：自动将 PDF 转为结构化 Markdown +- **智能排版**：LLM 优化格式、修正标题层级、修复数学公式 +- **图片注解**：自动识别图片内容并添加说明 +- **中文翻译**：翻译为简体中文，保留专业术语英文原文（如 `磁共振成像(MRI)`） +- **断点续跑**：自动跳过已完成的步骤，支持中断后继续 -1. **自动化内容提取与转换：** 将 PDF 格式的课程幻灯片**自动转换为结构化的 Markdown 格式**，便于后续编辑和阅读。 -2. **智能格式优化与增强：** 利用**大型语言模型 (LLM) 进行深度处理，对转换后的 Markdown 内容进行微调，优化版面格式，并智能地为图片增加注解**，提升理解效率。 -3. **精准专业翻译：** 将内容**翻译成简体中文，同时智能识别并保留专业名词的英文原文注解**，确保专业术语的准确性，避免翻译歧义，让学生在中文语境下理解内容的同时，也能熟悉和掌握专业英文表达。 +## 前置要求 -### 前置要求 +- Nvidia GPU（docling 转换需要） +- OpenAI 兼容 API（支持 OpenAI / DeepSeek / 通义千问 / Ollama 等） -- Nvidia GPU -- LLMs API Key - - Gemini - - OpenAI - - Ollama +## 安装 -### 安装 +```bash +pip install uv +uv venv +uv sync +``` -1. **安装 uv：** 如果您尚未安装 `uv`，请按照官方文档进行安装。通常可以使用 pip 安装： +## 配置 - ```bash - pip install uv - ``` +复制 `config.example.ini` 为 `config.ini` 并填入你的 API 信息： -2. **安装依赖：** 在项目根目录下，使用 `uv` 安装所有必要的依赖： +```bash +cp config.example.ini config.ini +``` - ```bash - uv venv - uv sync - ``` - -### 配置 - -本项目使用 `config.ini` 文件来管理 API 密钥。请确保在运行程序之前，在项目根目录下创建 `config.ini` 文件，并按照以下格式配置: +`config.ini` 格式： ```ini [llm] -# openai/gemini/ollama -PROVIDER = openai -GEMINI_MODEL_NAME = gemini-2.5-flash -OPENAI_MODEL_NAME = gpt-5-mini -OLLAMA_MODEL_NAME = gemma3:latest -OLLAMA_BASE_URL = http://localhost:11434 +BASE_URL = https://api.openai.com/v1 +API_KEY = sk-xxxx +MODEL = gpt-4o TEMPERATURE = 0.7 -GOOGLE_API_KEY = -OPENAI_API_KEY= +MAX_RETRIES = 3 ``` -### 使用方法 +**常见服务配置：** -1. 将需要处理的 PDF 文件放入 `input` 目录下。 -2. 运行 `main.py` 脚本。程序将自动处理 `input` 目录下的所有 PDF 文件。请使用 `uv run` 命令来执行脚本，以确保在正确的虚拟环境中运行： - ```bash - uv run python main.py - ``` +| 服务 | BASE_URL | MODEL 示例 | +|------|----------|-----------| +| OpenAI | `https://api.openai.com/v1` | `gpt-4o` | +| DeepSeek | `https://api.deepseek.com/v1` | `deepseek-chat` | +| 通义千问 | `https://dashscope.aliyuncs.com/compatible-mode/v1` | `qwen-max` | +| Ollama | `http://localhost:11434/v1` | `gemma3:latest` | + +> Ollama 的 `API_KEY` 可填任意值（如 `ollama`）。 + +环境变量 `OPENAI_API_KEY` / `OPENAI_BASE_URL` 也可配置，优先级低于 `config.ini`。 + +## 使用 + +将 PDF 放入 `input/` 目录，然后运行： + +```bash +uv run python main.py +``` + +输出结构： + +``` +output/ +└── 课程名称/ + ├── index.md # PDF 转 Markdown + ├── index_refined.md # LLM 精炼翻译 + └── images/ # 提取的图片 +``` + +### 断点续跑 + +程序会自动跳过已完成的步骤： + +- `index_refined.md` 已存在 → **跳过整个文件** +- `index.md` 已存在但 `index_refined.md` 不存在 → **跳过 PDF 转换，仅运行 LLM 精炼** + +如需重新处理，删除对应的输出文件即可。 ## 引用 @@ -67,8 +91,8 @@ OPENAI_API_KEY= ### docling 转换 PDF 时报错 -可能是 PDF 文件不规范导致的，可以尝试使用 ghostscript 规范文件。 +可能是 PDF 不规范，用 ghostscript 修复： -```shell -gs -o -sDEVICE=pdfwrite -dPDFSETTINGS=/default +```bash +gs -o output.pdf -sDEVICE=pdfwrite -dPDFSETTINGS=/default input.pdf ``` diff --git a/config.example.ini b/config.example.ini new file mode 100644 index 0000000..7c6975b --- /dev/null +++ b/config.example.ini @@ -0,0 +1,8 @@ +[llm] +# API 配置 (支持任何 OpenAI 兼容 API) +BASE_URL = https://api.openai.com/v1 +API_KEY = sk-xxxx +MODEL = gpt-4o +TEMPERATURE = 0.7 +# 请求失败自动重试次数 (默认 3) +MAX_RETRIES = 3 diff --git a/llm.py b/llm.py index f7f8a9f..8aaffa8 100755 --- a/llm.py +++ b/llm.py @@ -5,70 +5,36 @@ import os def set_api_key() -> None: config = configparser.ConfigParser() config.read("config.ini") - provider = config.get("llm", "PROVIDER", fallback="gemini") - if provider == "gemini": - set_gemini_api_key() - elif provider == "ollama": - set_ollama_config() - elif provider == "openai": - set_openai_api_key() - - -def set_openai_api_key() -> None: - config = configparser.ConfigParser() - config.read("config.ini") - openai_api_key = config.get("llm", "OPENAI_API_KEY", fallback=None) + api_key = config.get("llm", "API_KEY", fallback=None) if not os.environ.get("OPENAI_API_KEY"): - if openai_api_key: - os.environ["OPENAI_API_KEY"] = openai_api_key + if api_key: + os.environ["OPENAI_API_KEY"] = api_key else: raise ValueError( - "Error: OPENAI_API_KEY not found in config.ini or environment variables" + "Error: API_KEY not found in config.ini or environment variables" ) - return -def set_gemini_api_key() -> None: +def get_base_url() -> str | None: config = configparser.ConfigParser() config.read("config.ini") - google_api_key = config.get("llm", "GOOGLE_API_KEY", fallback=None) - - if not os.environ.get("GOOGLE_API_KEY"): - if google_api_key: - os.environ["GOOGLE_API_KEY"] = google_api_key - else: - raise ValueError( - "Error: GOOGLE_API_KEY not found in config.ini or environment variables" - ) - return - - -def set_ollama_config() -> None: - config = configparser.ConfigParser() - config.read("config.ini") - ollama_base_url = config.get( - "llm", "OLLAMA_BASE_URL", fallback="http://localhost:11434" - ) - - if not os.environ.get("OLLAMA_BASE_URL"): - os.environ["OLLAMA_BASE_URL"] = ollama_base_url - return + base_url = config.get("llm", "BASE_URL", fallback=None) + return base_url or os.environ.get("OPENAI_BASE_URL") def get_model_name() -> str: config = configparser.ConfigParser() config.read("config.ini") - provider = config.get("llm", "PROVIDER", fallback="gemini") - if provider == "gemini": - return config.get("llm", "GEMINI_MODEL_NAME", fallback="gemini-2.5-flash") - elif provider == "ollama": - return config.get("llm", "OLLAMA_MODEL_NAME", fallback="gemma3:latest") - elif provider == "openai": - return config.get("llm", "OPENAI_MODEL_NAME", fallback="gpt-5-mini") - return "gemini-2.5-flash" # Default fallback + return config.get("llm", "MODEL", fallback="gpt-4o") def get_temperature() -> float: config = configparser.ConfigParser() config.read("config.ini") return float(config.get("llm", "TEMPERATURE", fallback=0.7)) + + +def get_max_retries() -> int: + config = configparser.ConfigParser() + config.read("config.ini") + return int(config.get("llm", "MAX_RETRIES", fallback=3)) diff --git a/main.py b/main.py index 58b4edf..d20b890 100755 --- a/main.py +++ b/main.py @@ -1,6 +1,7 @@ import os from pdf_convertor import ( convert_pdf_to_markdown, + load_md_file, save_md_images, refine_content, ) @@ -24,12 +25,29 @@ def main(): current_output_dir.mkdir(parents=True, exist_ok=True) + index_md = current_output_dir / "index.md" + refined_md = current_output_dir / "index_refined.md" + + # 整个跳过：已存在精炼结果，跳过该文件 + if refined_md.exists(): + print(f"Skipping {pdf_path.name}: already processed (index_refined.md exists)") + continue + print(f"Processing {pdf_path} -> {current_output_dir}") with open(pdf_path, "rb") as pdf_file: pdf_content = pdf_file.read() - md, images = convert_pdf_to_markdown(pdf_content) - save_md_images(current_output_dir, md, images) + + # 部分跳过：已存在转换结果，跳过 PDF 转 MD + if index_md.exists(): + print(f" Skipping PDF→MD conversion: index.md already exists") + md, images = load_md_file(index_md) + else: + md, images = convert_pdf_to_markdown(pdf_content) + save_md_images(current_output_dir, md, images) + + # 部分跳过：已存在精炼结果，跳过 LLM 精炼 + # (前面已检查整个跳过，这里不需要再检查) try: md = refine_content(md, images, pdf_content) diff --git a/pdf_convertor.py b/pdf_convertor.py index b0b77bf..ec82c26 100755 --- a/pdf_convertor.py +++ b/pdf_convertor.py @@ -1,6 +1,5 @@ import re import base64 -import os from docling.datamodel.accelerator_options import AcceleratorDevice, AcceleratorOptions from docling.datamodel.base_models import InputFormat from docling.datamodel.pipeline_options import ( @@ -11,14 +10,11 @@ from docling.datamodel.settings import settings from docling.document_converter import DocumentConverter, PdfFormatOption from docling_core.types.doc.base import ImageRefMode from langchain_core.messages import HumanMessage, SystemMessage -from langchain_google_genai import ChatGoogleGenerativeAI -from langchain_ollama import ChatOllama from langchain_openai import ChatOpenAI -from llm import set_api_key, get_model_name, get_temperature +from llm import set_api_key, get_model_name, get_temperature, get_base_url, get_max_retries from io import BytesIO from pathlib import Path -import configparser -import fitz +import base64 def save_md_images( @@ -117,35 +113,21 @@ def convert_pdf_to_markdown(pdf: bytes) -> tuple[str, dict[str, bytes]]: def refine_content(md: str, images: dict[str, bytes], pdf: bytes) -> str: """Refines the Markdown content using an LLM.""" - config = configparser.ConfigParser() - config.read("config.ini") - provider = config.get("llm", "PROVIDER", fallback="gemini") - set_api_key() try: - if provider == "gemini": - llm = ChatGoogleGenerativeAI( - model=get_model_name(), temperature=get_temperature() - ) - elif provider == "ollama": - llm = ChatOllama( - model=get_model_name(), - temperature=get_temperature(), - base_url=os.environ["OLLAMA_BASE_URL"], - num_ctx=256000, - num_predict=-1, - ) - elif provider == "openai": - llm = ChatOpenAI( - model=get_model_name(), - temperature=get_temperature(), - ) - else: - raise ValueError(f"Unsupported LLM provider: {provider}") + kwargs = { + "model": get_model_name(), + "temperature": get_temperature(), + } + base_url = get_base_url() + if base_url: + kwargs["base_url"] = base_url + kwargs["max_retries"] = get_max_retries() + llm = ChatOpenAI(**kwargs) except Exception as e: raise BaseException( - f"Error initializing LLM. Make sure your LLM configuration is correct. Error: {e}" + f"Error initializing LLM. Make sure your configuration is correct. Error: {e}" ) with open("pdf_convertor_prompt.md", "r") as f: @@ -204,36 +186,16 @@ def refine_content(md: str, images: dict[str, bytes], pdf: bytes) -> str: } ) - if provider == "gemini" or provider == "openai": - human_message_parts.extend( - [ - { - "type": "file", - "base64": base64.b64encode(pdf).decode("utf-8"), - "mime_type": "application/pdf", - "filename": "origin.pdf", - }, - ] - ) - if provider == "ollama": - doc = fitz.open(stream=pdf, filetype="pdf") - for page_num in range(doc.page_count): - page = doc.load_page(page_num) - pix = page.get_pixmap() - img_bytes = pix.tobytes("png") - human_message_parts.append( - { - "type": "text", - "text": f"This is page {page_num + 1} of the original PDF file:\n", - } - ) - human_message_parts.append( - { - "type": "image_url", - "image_url": f"data:image/png;base64,{base64.b64encode(img_bytes).decode('utf-8')}", - } - ) - doc.close() + human_message_parts.extend( + [ + { + "type": "file", + "base64": base64.b64encode(pdf).decode("utf-8"), + "mime_type": "application/pdf", + "filename": "origin.pdf", + }, + ] + ) message_content = [ SystemMessage(content=prompt), @@ -241,7 +203,7 @@ def refine_content(md: str, images: dict[str, bytes], pdf: bytes) -> str: ] print( - f"Sending request to {provider} with the PDF, Markdown and referenced images... This may take a moment." + "Sending request to LLM with the PDF, Markdown and referenced images... This may take a moment." ) try: response = llm.invoke(message_content) @@ -250,7 +212,7 @@ def refine_content(md: str, images: dict[str, bytes], pdf: bytes) -> str: raise BaseException(f"An error occurred while invoking the LLM: {e}") if str(refined_content) == "": - raise BaseException(f"Response of {provider} is empty") + raise BaseException("Response of LLM is empty") return fix_output(str(refined_content)) diff --git a/pyproject.toml b/pyproject.toml index 277dfd5..91bb48b 100755 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,9 +7,5 @@ requires-python = ">=3.13" dependencies = [ "docling>=2.57.0", "langchain>=1.0.2", - "langchain-community>=0.4.1", - "langchain-google-genai>=3.0.0", - "langchain-ollama>=1.0.0", "langchain-openai>=1.0.2", - "pymupdf>=1.26.6", ] diff --git a/uv.lock b/uv.lock index 864af16..05cff6f 100755 --- a/uv.lock +++ b/uv.lock @@ -2,20 +2,17 @@ version = 1 revision = 3 requires-python = ">=3.13" resolution-markers = [ - "python_full_version >= '3.14' and 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