Files
llm-in-text/backend/main.py
ydy0615 70152c61b1 feat: enhance Milkdown editor and file system functionality
- Normalize line endings in Markdown export for DOCX files.
- Improve selection serialization to Markdown with better handling of empty documents.
- Add a new `updateFile` function to the file system for updating file properties.
- Introduce video transcoding capabilities using FFmpeg, supporting various video formats.
- Update AGENTS.md for clearer plugin structure and responsibilities.
- Add scoped styles for TreeNodeItem component to improve UI consistency.
- Implement cross-origin isolation headers in Vite configuration for enhanced security.
- Remove obsolete test_cross.py file.
2026-05-01 20:55:02 +08:00

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import asyncio
import base64
import logging
import os
import re
import shutil
import subprocess
import tempfile
import uuid
from typing import Optional
from fastapi import FastAPI, HTTPException, Request, Security
from fastapi.middleware.cors import CORSMiddleware
from fastapi.responses import JSONResponse
from fastapi.security import APIKeyHeader
from pydantic import BaseModel
from geoip import get_ip_location_text
from llm import call_ollama, call_vlm_ocr
from models import UserPreferences
from prompt import build_completion_prompts, prepare_prompt_context
import markitdown
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s %(levelname)s %(name)s - %(message)s",
)
logger = logging.getLogger("api")
_markitdown_instance = None
def _get_markitdown(): # pragma: no cover
global _markitdown_instance
if _markitdown_instance is None:
_markitdown_instance = markitdown.MarkItDown()
return _markitdown_instance
app = FastAPI()
@app.on_event("startup") # pragma: no cover
async def startup_event():
logger.info("Starting blocking preload for TTS and ASR models...")
try:
from tts_asr import _warmup_all
await _warmup_all()
except Exception as e:
logger.warning(f"Failed to initiate model warmup: {e}")
ACTIVE_COMPLETIONS: dict[str, asyncio.Task] = {}
ACTIVE_COMPLETIONS_LOCK = asyncio.Lock()
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*", "X-API-Key", "X-Client-IP", "X-Request-Id"],
)
API_KEY = os.getenv("API_KEY", "your-secret-key-here")
api_key_header = APIKeyHeader(name="X-API-Key")
async def get_api_key(api_key: str = Security(api_key_header)): # pragma: no cover
if api_key != API_KEY:
raise HTTPException(
status_code=403,
detail="Could not validate credentials",
)
return api_key
class CompletionRequest(BaseModel):
prefix: str
suffix: str
languageId: str = "markdown"
model_thinking: str = "low"
privacy_mode: bool = False
user_preferences: Optional[UserPreferences] = None
class CancelCompletionRequest(BaseModel):
request_id: str
reason: str = "abort"
class OCRRequest(BaseModel):
image: str
filename: str = "image.jpg"
language: str = "auto"
class ConvertRequest(BaseModel):
file: str
filename: str = "document.pdf"
ALLOWED_CONVERT_EXTENSIONS = {".txt", ".docx", ".pptx", ".pdf"}
IMAGE_MARKDOWN_RE = re.compile(r"!\[[^\]]*]\([^)]+\)")
IMAGE_HTML_RE = re.compile(r"<img\b[^>]*>", re.IGNORECASE)
def _convert_docx_to_pdf(input_path: str, output_path: str) -> None: # pragma: no cover
node_executable = shutil.which("node")
if not node_executable:
raise RuntimeError("未找到 Node.js无法转换 DOCX 为 PDF")
bridge_path = os.path.join(os.path.dirname(__file__), "docx2pdf_bridge.cjs")
if not os.path.exists(bridge_path):
raise RuntimeError("缺少 DOCX 转 PDF 桥接脚本")
result = subprocess.run(
[node_executable, bridge_path, input_path, output_path],
cwd=os.path.dirname(os.path.dirname(__file__)),
capture_output=True,
text=True,
)
if result.returncode != 0:
error_text = (result.stderr or result.stdout or "DOCX 转 PDF 失败").strip()
raise RuntimeError(error_text)
def _preview(text: str, limit: int = 80) -> str:
value = (text or "").replace("\n", "\\n")
if len(value) <= limit:
return value
return value[:limit] + "..."
def _sanitize_converted_markdown(text: str) -> str:
value = (text or "").replace("\r\n", "\n").replace("\r", "\n")
value = IMAGE_MARKDOWN_RE.sub("", value)
value = IMAGE_HTML_RE.sub("", value)
return value
def get_client_ip(request: Request) -> str:
if request.client:
return request.headers.get("X-Client-IP") or request.client.host
return request.headers.get("X-Client-IP") or "unknown"
@app.post("/v1/completions")
async def create_completion(request: Request, req: CompletionRequest, api_key: str = Security(get_api_key)):
request_id = request.headers.get("X-Request-Id") or str(uuid.uuid4())
request_tag = request_id[:8]
inference_task: Optional[asyncio.Task] = None
client_ip = "hidden"
location = ""
if not req.privacy_mode: # pragma: no cover
client_ip = get_client_ip(request)
location = get_ip_location_text(client_ip)
if location:
logger.info("[%s] client_location=%s", request_tag, location)
try:
logger.info(
"[%s] /v1/completions request_id=%s client_ip=%s prefix_chars=%d suffix_chars=%d lang=%s thinking=%s privacy=%s",
request_tag,
request_id,
client_ip,
len(req.prefix or ""),
len(req.suffix or ""),
req.languageId,
req.model_thinking,
req.privacy_mode,
)
llm_prefix, llm_suffix = prepare_prompt_context(req.prefix or "", req.suffix or "")
logger.info("[%s] llm_input_prefix=%r", request_tag, llm_prefix)
logger.info("[%s] llm_input_suffix=%r", request_tag, llm_suffix)
system_prompt, user_prompt = build_completion_prompts(
req.prefix,
req.suffix,
req.languageId,
location=location,
thinking_level=req.model_thinking,
preferences=req.user_preferences,
)
inference_task = asyncio.create_task(
call_ollama(
user_prompt,
system_prompt=system_prompt,
tag=f"{request_tag}-primary",
temperature=0.7,
thinking=req.model_thinking if req.model_thinking != "none" else None,
)
)
existing = ACTIVE_COMPLETIONS.get(request_id)
if existing and not existing.done():
existing.cancel()
ACTIVE_COMPLETIONS[request_id] = inference_task
result = await inference_task
content = result["content"] or ""
if not content.strip():
logger.warning("[%s] primary returned empty content, returning empty result", request_tag)
logger.info(
"[%s] completion resolved source=primary request_id=%s content_chars=%d content_preview='%s'",
request_tag,
request_id,
len(content),
_preview(content, 120),
)
return JSONResponse(content={"content": content, "request_id": request_id})
except asyncio.CancelledError:
logger.info("[%s] /v1/completions cancelled request_id=%s", request_tag, request_id)
return JSONResponse(content={"cancelled": True, "request_id": request_id}, status_code=499)
except Exception as e:
logger.exception("[%s] /v1/completions failed request_id=%s: %s", request_tag, request_id, e)
return JSONResponse(content={"error": str(e)}, status_code=500)
finally:
active = ACTIVE_COMPLETIONS.get(request_id)
if active is not None and active is inference_task:
ACTIVE_COMPLETIONS.pop(request_id, None)
@app.post("/v1/completions/cancel")
async def cancel_completion(req: CancelCompletionRequest, api_key: str = Security(get_api_key)):
request_tag = str(uuid.uuid4())[:8]
request_id = req.request_id or ""
async with ACTIVE_COMPLETIONS_LOCK:
task = ACTIVE_COMPLETIONS.get(request_id)
if task is None:
logger.info(
"[%s] /v1/completions/cancel request_id=%s status=not_found reason=%s",
request_tag,
request_id,
req.reason,
)
return {"cancelled": False, "status": "not_found"}
if task.done():
logger.info(
"[%s] /v1/completions/cancel request_id=%s status=already_done reason=%s",
request_tag,
request_id,
req.reason,
)
return {"cancelled": False, "status": "already_done"}
task.cancel()
logger.info(
"[%s] /v1/completions/cancel request_id=%s status=ok reason=%s",
request_tag,
request_id,
req.reason,
)
return {"cancelled": True, "status": "ok"}
@app.post("/v1/ocr")
async def ocr_image(request: OCRRequest, api_key: str = Security(get_api_key)):
request_id = str(uuid.uuid4())[:8]
try:
logger.info(
"[%s] /v1/ocr filename=%s language=%s image_base64_chars=%d",
request_id,
request.filename,
request.language,
len(request.image or ""),
)
image_bytes = base64.b64decode(request.image)
logger.info("[%s] /v1/ocr decoded image_bytes=%d", request_id, len(image_bytes))
result = await call_vlm_ocr(image_bytes, request.language)
logger.info(
"[%s] /v1/ocr success text_chars=%d text_preview='%s'",
request_id,
len(result or ""),
_preview(result or "", 120),
)
return {"text": result, "filename": request.filename}
except Exception as e:
logger.exception("[%s] /v1/ocr failed: %s", request_id, e)
return JSONResponse(content={"error": str(e)}, status_code=500)
@app.post("/v1/convert")
async def convert_to_markdown(request: ConvertRequest, api_key: str = Security(get_api_key)):
"""Convert file to markdown"""
request_id = str(uuid.uuid4())[:8]
try:
logger.info(
"[%s] /v1/convert filename=%s file_base64_chars=%d",
request_id,
request.filename,
len(request.file or ""),
)
# Decode base64
file_bytes = base64.b64decode(request.file)
logger.info("[%s] /v1/convert decoded file_bytes=%d", request_id, len(file_bytes))
# Get file extension
ext = os.path.splitext(request.filename)[1].lower()
if ext not in ALLOWED_CONVERT_EXTENSIONS:
raise ValueError("仅支持 txt、docx、pptx、pdf 格式")
if ext == ".txt":
markdown_text = _sanitize_converted_markdown(file_bytes.decode("utf-8", errors="ignore"))
return {
"markdown": markdown_text,
"filename": request.filename
}
# Create temporary file
with tempfile.NamedTemporaryFile(delete=False, suffix=ext) as tmp:
tmp.write(file_bytes)
tmp_path = tmp.name
try:
# Convert using MarkItDown
md = _get_markitdown()
result = await asyncio.to_thread(md.convert, tmp_path)
markdown_text = _sanitize_converted_markdown(result.text_content)
logger.info(
"[%s] /v1/convert success text_chars=%d text_preview='%s'",
request_id,
len(markdown_text or ""),
_preview(markdown_text, 120),
)
return {
"markdown": markdown_text,
"filename": request.filename
}
finally:
# Clean up temporary file
if os.path.exists(tmp_path):
os.unlink(tmp_path)
except Exception as e:
logger.exception("[%s] /v1/convert failed: %s", request_id, e)
return JSONResponse(content={"error": str(e)}, status_code=500)
# TTS and ASR routes (lazy loaded to avoid heavy import on startup)
def _register_tts_asr_routes():
from tts_asr import register_tts_asr_routes
register_tts_asr_routes(app)
_register_tts_asr_routes()
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=8001)