70 lines
2.2 KiB
Python
70 lines
2.2 KiB
Python
import os
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import tempfile
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import pypandoc
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from typing import Optional
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from fastapi import APIRouter, HTTPException, Depends
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from fastapi.responses import FileResponse
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from pydantic import BaseModel
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from starlette.background import BackgroundTask
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import auth
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import db
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from formula_processor import preprocess_formulas
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router = APIRouter()
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class DocRequest(BaseModel):
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markdown: str
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def remove_file(path: str):
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try:
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os.remove(path)
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except Exception:
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pass
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@router.post("/api/convert")
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async def convert_md_to_docx(req: DocRequest, current_user: Optional[dict] = Depends(auth.get_optional_user)):
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try:
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# 如果带有合法登录 token，则记录历史
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if current_user:
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db.add_history_record(current_user["id"], req.markdown)
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try:
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pypandoc.get_pandoc_version()
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except OSError:
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pypandoc.download_pandoc()
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# ====== 公式预处理：统一各种定界符格式 ======
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# 将 GPT/AI 生成内容中 \(...\)、\[...\]、缺失反斜杠的 [...] 和 (...)
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# 全部转换为 Pandoc 可识别的标准 $...$ 和 $$...$$ 格式
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processed_markdown = preprocess_formulas(req.markdown)
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fd, tmp_path = tempfile.mkstemp(suffix=".docx")
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os.close(fd)
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md_fd, md_tmp_path = tempfile.mkstemp(suffix=".md")
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with os.fdopen(md_fd, 'w', encoding='utf-8') as f:
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f.write(processed_markdown)
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pypandoc.convert_file(
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md_tmp_path,
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'docx',
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format='markdown+tex_math_dollars',
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outputfile=tmp_path
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)
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os.remove(md_tmp_path)
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return FileResponse(
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tmp_path,
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media_type='application/vnd.openxmlformats-officedocument.wordprocessingml.document',
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filename='document.docx',
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background=BackgroundTask(remove_file, tmp_path)
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)
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except Exception as e:
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print(f"Error during conversion: {e}")
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raise HTTPException(status_code=500, detail=str(e))
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@router.get("/api/history")
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async def get_history(current_user: dict = Depends(auth.get_current_user)):
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history = db.get_history_records(current_user["id"])
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return {"history": history}
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