91 lines
3.4 KiB
Python
91 lines
3.4 KiB
Python
import os
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from openai import OpenAI
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import base64
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from PIL import Image
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from celery import shared_task
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from django.conf import settings
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import markdown2
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from django.utils import timezone
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from .models import OpenAIDiagnose
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from django.core.exceptions import ObjectDoesNotExist
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def get_image_type(image_path):
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with Image.open(image_path) as img:
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return img.format # 返回图片的格式，例如 'PNG' 或 'JPEG'
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def encode_image(image_path):
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with open(image_path, "rb") as image_file:
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return base64.b64encode(image_file.read()).decode('utf-8')
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# 将图片转为Base64编码
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def generate_html_paper(md_result, file_path_name):
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# 写到md中
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md_file = open(f'{file_path_name}.md', 'w', encoding='utf-8')
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md_file.write(md_result)
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md_file.close()
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# 从md中读出来再写到html中
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md_read_file = open(f'{file_path_name}.md', 'r', encoding='utf-8')
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md_text = md_read_file.read()
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md_read_file.close()
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html = markdown2.markdown(md_text)
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html_write_file = open(f'{file_path_name}.html', 'w', encoding='utf-8')
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html_write_file.write(
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"""<head>
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<meta charset="utf-8">
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<script type="text/javascript" async
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src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/MathJax.js?config=TeX-MML-AM_CHTML">
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</script>
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</head>"""+html)
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html_write_file.close()
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@shared_task
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def openai_diagnoser_asyna_wraper(uuid_str: str, username: str, diagnose_type: str):
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client = OpenAI(
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api_key = settings.OPAI_IMG_API_KEY,
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base_url = settings.OPAI_IMG_BASE_URL
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)
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# 需要传给大模型的图片
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# image_path = "ch.jpg"
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image_path = os.path.join(settings.BASE_DIR, 'upload_file', username, uuid_str)
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base64_image = encode_image(image_path)
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image_type = get_image_type(image_path)
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image_type = image_type.lower()
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# print("===> image type:" + image_type)
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# Image input:
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response = client.chat.completions.create(
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model="doubao-1-5-vision-pro-32k-250115",
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messages=[
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{
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"role": "user",
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"content": [
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{
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"type": "text",
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"text": """图中是几个题目，我已经用笔作答了，先帮我判题，然后通过我的作答情况给出本学科的学情分析。
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从基础知识、学科素养、综合能力等方面给出学员指导意见""",
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},
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{
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"type": "image_url",
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"image_url": {
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# 需要注意：传入Base64编码前需要增加前缀 data:image/{图片格式};base64,{Base64编码}：
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# PNG图片："url": f"data:image/png;base64,{base64_image}"
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# JEPG图片："url": f"data:image/jpeg;base64,{base64_image}"
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# WEBP图片："url": f"data:image/webp;base64,{base64_image}"
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"url": f"data:image/{image_type};base64,{base64_image}"
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},
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},
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],
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}
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],
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)
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# print(response.choices[0].message.content)
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generate_html_paper(response.choices[0].message.content, image_path)
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try:
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obj = OpenAIDiagnose.objects.get(uuid=uuid_str) # 只获取一个对象
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obj.status = 'D'
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obj.updated_at = timezone.now()
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obj.save()
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except ObjectDoesNotExist:
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print("warning: record not found") |