删除无用代码并且新增流程图相关内容

This commit is contained in:
2025-10-11 23:29:56 +08:00
parent 0f3f2d256f
commit 4168d41a16
33 changed files with 776 additions and 722 deletions

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flowchart/tasks.py Normal file
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import dramatiq
import json
import time
from openai import OpenAI
from django.db import transaction
from django.utils import timezone
from utils.shortcuts import get_env, DRAMATIQ_WORKER_ARGS
from .models import FlowchartSubmission, FlowchartSubmissionStatus
@dramatiq.actor(**DRAMATIQ_WORKER_ARGS(max_retries=3))
def evaluate_flowchart_task(submission_id):
"""异步AI评分任务"""
try:
submission = FlowchartSubmission.objects.get(id=submission_id)
# 更新状态为处理中
submission.status = FlowchartSubmissionStatus.PROCESSING
submission.save()
start_time = time.time()
# 使用固定评分标准
system_prompt = build_evaluation_prompt(submission.problem)
# 构建用户提示词,包含标准答案对比
user_prompt = f"""
请对以下Mermaid流程图进行评分
学生提交的流程图:
```mermaid
{submission.mermaid_code}
```
标准答案参考:
```mermaid
{submission.problem.mermaid_code}
```
"""
# 如果有流程图提示,添加到提示词中
if submission.problem.flowchart_hint:
user_prompt += f"""
设计提示:{submission.problem.flowchart_hint}
"""
user_prompt += """
请按照评分标准进行详细评估并给出0-100的分数。
"""
# 调用AI进行评分
api_key = get_env("AI_KEY")
if not api_key:
raise Exception("AI_KEY is not set")
client = OpenAI(api_key=api_key, base_url="https://api.deepseek.com")
response = client.chat.completions.create(
model="deepseek-chat",
messages=[
{"role": "system", "content": system_prompt},
{"role": "user", "content": user_prompt}
],
temperature=0.3,
)
ai_response = response.choices[0].message.content
score_data = parse_ai_evaluation_response(ai_response)
processing_time = time.time() - start_time
# 保存评分结果
with transaction.atomic():
submission.ai_score = score_data['score']
submission.ai_grade = score_data['grade']
submission.ai_feedback = score_data['feedback']
submission.ai_suggestions = score_data.get('suggestions', '')
submission.ai_criteria_details = score_data.get('criteria_details', {})
submission.ai_provider = 'deepseek'
submission.ai_model = 'deepseek-chat'
submission.processing_time = processing_time
submission.status = FlowchartSubmissionStatus.COMPLETED
submission.evaluation_time = timezone.now()
submission.save()
# 推送评分完成通知
from utils.websocket import push_flowchart_evaluation_update
push_flowchart_evaluation_update(
submission_id=str(submission.id),
user_id=submission.user_id,
data={
"type": "flowchart_evaluation_completed",
"submission_id": str(submission.id),
"score": score_data['score'],
"grade": score_data['grade'],
"feedback": score_data['feedback']
}
)
except Exception as e:
# 处理失败
submission.status = FlowchartSubmissionStatus.FAILED
submission.save()
# 推送错误通知
from utils.websocket import push_flowchart_evaluation_update
push_flowchart_evaluation_update(
submission_id=str(submission.id),
user_id=submission.user_id,
data={
"type": "flowchart_evaluation_failed",
"submission_id": str(submission.id),
"error": str(e)
}
)
raise e
def build_evaluation_prompt(problem):
"""构建AI评分提示词 - 使用固定标准"""
# 使用固定的评分标准
criteria_text = """
- 逻辑正确性 (权重: 1.0, 最高分: 40): 检查流程图的逻辑是否正确,包括条件判断、循环结构等
- 完整性 (权重: 0.8, 最高分: 30): 检查流程图是否包含所有必要的步骤和分支
- 规范性 (权重: 0.6, 最高分: 20): 检查流程图符号使用是否规范,是否符合标准
- 清晰度 (权重: 0.4, 最高分: 10): 评估流程图的整体布局和可读性
"""
return f"""
你是一个专业的编程教学助手负责评估学生提交的Mermaid流程图。
评分标准:
{criteria_text}
评分要求:
1. 仔细分析流程图的逻辑正确性、完整性和清晰度
2. 检查是否涵盖了题目的所有要求
3. 评估流程图的规范性和可读性
4. 给出0-100的分数
5. 提供详细的反馈和改进建议
评分等级:
- S级 (90-100分): 优秀,逻辑清晰,完全符合要求
- A级 (80-89分): 良好,基本符合要求,有少量改进空间
- B级 (70-79分): 及格,基本正确但存在一些问题
- C级 (0-69分): 需要改进,存在明显问题
请以JSON格式返回评分结果
{{
"score": 85,
"grade": "A",
"feedback": "详细的反馈内容",
"suggestions": "改进建议",
"criteria_details": {{
"逻辑正确性": {{"score": 35, "max": 40, "comment": "逻辑基本正确"}},
"完整性": {{"score": 25, "max": 30, "comment": "缺少部分步骤"}},
"规范性": {{"score": 18, "max": 20, "comment": "符号使用规范"}},
"清晰度": {{"score": 8, "max": 10, "comment": "布局清晰"}}
}}
}}
"""
def parse_ai_evaluation_response(ai_response):
"""解析AI评分响应"""
try:
import re
json_match = re.search(r'\{.*\}', ai_response, re.DOTALL)
if json_match:
data = json.loads(json_match.group())
else:
data = {
"score": 60,
"grade": "C",
"feedback": "AI评分解析失败请重新提交",
"suggestions": "",
"criteria_details": {}
}
return data
except Exception:
return {
"score": 60,
"grade": "C",
"feedback": "AI评分解析失败请重新提交",
"suggestions": "",
"criteria_details": {}
}