105 lines
3.2 KiB
Python
105 lines
3.2 KiB
Python
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from fastapi import FastAPI, Request, UploadFile, File, Form
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from fastapi.templating import Jinja2Templates
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from fastapi.staticfiles import StaticFiles
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from fastapi.responses import HTMLResponse, JSONResponse
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import shutil
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import os
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import tempfile
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import asyncio
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from typing import List, Optional
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from LM import run_pdf, run_images
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try:
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with open("InvoicePrompt", 'r', encoding='utf-8') as f:
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SYS_INVOICE_PROMPT = f.read()
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except FileNotFoundError:
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SYS_INVOICE_PROMPT = "请识别发票内容并返回JSON格式数据。"
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print("Warning: InvoicePrompt file not found.")
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try:
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with open("OCR_MD", 'r', encoding='utf-8') as f:
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SYS_OCR_PROMPT = f.read()
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except FileNotFoundError:
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SYS_OCR_PROMPT = "请识别图片中的文字并转换为Markdown格式。"
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print("Warning: OCR_MD file not found.")
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app = FastAPI()
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templates = Jinja2Templates(directory="templates")
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app.mount("/static", StaticFiles(directory="static"), name="static")
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@app.get("/", response_class=HTMLResponse)
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async def read_root(request: Request):
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return templates.TemplateResponse("index2.html", {"request": request})
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@app.post("/api/recognize")
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async def recognize_files(
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files: List[UploadFile] = File(...),
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mode: str = Form(...),
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custom_prompt: str = Form(None)
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):
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results = []
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final_prompt = ""
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if mode == 'invoice':
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final_prompt = SYS_INVOICE_PROMPT
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print("Using System Invoice Prompt")
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elif mode == 'ocr':
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final_prompt = SYS_OCR_PROMPT
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print("Using System OCR Prompt")
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elif mode == 'custom':
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final_prompt = custom_prompt if custom_prompt else ""
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print(f"Using Custom Prompt (Length: {len(final_prompt)})")
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else:
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final_prompt = SYS_INVOICE_PROMPT
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with tempfile.TemporaryDirectory() as temp_dir:
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tasks = []
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for file in files:
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file_path = os.path.join(temp_dir, file.filename)
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with open(file_path, "wb") as buffer:
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shutil.copyfileobj(file.file, buffer)
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original_name = file.filename
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ext = os.path.splitext(original_name)[1].lower()
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if ext == ".pdf":
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tasks.append(run_pdf(original_name, file_path, prompt=final_prompt))
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elif ext in [".jpg", ".jpeg", ".png", ".bmp", ".webp"]:
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tasks.append(run_images([original_name], [file_path], prompt=final_prompt))
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else:
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results.append({
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"image_name": original_name,
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"result": "Unsupported file type",
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"state": "error"
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})
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if tasks:
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processed_results = await asyncio.gather(*tasks, return_exceptions=True)
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for res in processed_results:
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if isinstance(res, Exception):
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print(f"Internal Error: {str(res)}")
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results.append({
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"state": "error",
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"result": f"Internal execution error: {str(res)}"
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})
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else:
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results.append(res)
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return JSONResponse(content={"data": results})
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=9420)
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