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新增AI分析

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This commit is contained in:
yuetsh
2025-09-24 01:02:29 +08:00
parent aba908c0aa
commit 6e1e3ef0c6
16 changed files with 790 additions and 65 deletions
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11
account/views/oj.py
View File

@@ -1,5 +1,4 @@
import os
import re
from datetime import timedelta
from importlib import import_module
@@ -485,17 +484,17 @@ class UserProblemRankAPI(APIView):
problem = Problem.objects.get(_id=problem_id, contest_id__isnull=True, visible=True)
submissions = Submission.objects.filter(problem=problem, result=JudgeStatus.ACCEPTED)
all_ac_users = submissions.values("user_id").distinct()
all_ac_count = len(all_ac_users)
all_ac_count = submissions.values("user_id").distinct().count()
class_name = user.class_name or ""
class_ac_count = 0
if class_name:
users = User.objects.filter(class_name=user.class_name, is_disabled=False).values_list("id", flat=True)
submissions = submissions.filter(user_id__in=list(users))
class_ac_users = submissions.values("user_id").distinct()
class_ac_count = len(class_ac_users)
user_ids = list(users)
submissions = submissions.filter(user_id__in=user_ids)
class_ac_count = submissions.values("user_id").distinct().count()
my_submissions = submissions.filter(user_id=user.id)

0
ai/__init__.py Normal file
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6
ai/apps.py Normal file
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@@ -0,0 +1,6 @@
from django.apps import AppConfig
class AiConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'ai'

0
ai/migrations/__init__.py Normal file
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3
ai/models.py Normal file
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@@ -0,0 +1,3 @@
from django.db import models
# Create your models here.

0
ai/serializers.py Normal file
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0
ai/urls/__init__.py Normal file
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13
ai/urls/oj.py Normal file
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@@ -0,0 +1,13 @@
from django.urls import path
from ..views.oj import (
AIAnalysisAPI,
AIDetailDataAPI,
AIWeeklyDataAPI,
)
urlpatterns = [
path("ai/detail", AIDetailDataAPI.as_view()),
path("ai/weekly", AIWeeklyDataAPI.as_view()),
path("ai/analysis", AIAnalysisAPI.as_view()),
]

0
ai/views/__init__.py Normal file
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412
ai/views/oj.py Normal file
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@@ -0,0 +1,412 @@
from collections import defaultdict
from datetime import timedelta, datetime
from dateutil.relativedelta import relativedelta
from utils.api import APIView
from django.db.models import Min
from django.utils import timezone
from django.core.cache import cache
import hashlib
from account.models import User
from problem.models import Problem
from submission.models import Submission, JudgeStatus
from account.decorators import login_required
# 常量定义
CACHE_TIMEOUT = 300 # 5分钟缓存
DIFFICULTY_MAP = {"Low": "简单", "Mid": "中等", "High": "困难"}
DEFAULT_CLASS_SIZE = 45
def get_cache_key(prefix, *args):
"""生成缓存键"""
key_string = f"{prefix}:{'_'.join(map(str, args))}"
return hashlib.md5(key_string.encode()).hexdigest()
def get_difficulty(difficulty):
return DIFFICULTY_MAP.get(difficulty, "中等")
def get_grade(rank, submission_count):
"""
根据排名和提交人数计算等级
只有三分之一的人完成，直接给到 S
"""
if not rank or rank <= 0 or submission_count <= 0:
return "C"
if submission_count < DEFAULT_CLASS_SIZE // 3:
return "S"
top_percent = round(rank / submission_count * 100)
if top_percent < 20:
return "S"
elif top_percent < 50:
return "A"
elif top_percent < 85:
return "B"
else:
return "C"
def get_class_user_ids(user):
"""获取班级用户ID列表"""
if not user.class_name:
return []
cache_key = get_cache_key("class_users", user.class_name)
user_ids = cache.get(cache_key)
if user_ids is None:
user_ids = list(
User.objects.filter(class_name=user.class_name).values_list("id", flat=True)
)
cache.set(cache_key, user_ids, CACHE_TIMEOUT)
return user_ids
def get_user_first_ac_submissions(
user_id, start, end, class_user_ids=None, use_class_scope=False
):
"""获取用户首次AC提交记录"""
base_qs = Submission.objects.filter(
result=JudgeStatus.ACCEPTED,
create_time__gte=start,
create_time__lte=end,
)
if use_class_scope and class_user_ids:
base_qs = base_qs.filter(user_id__in=class_user_ids)
# 获取用户首次AC
user_first_ac = list(
base_qs.filter(user_id=user_id)
.values("problem_id")
.annotate(first_ac_time=Min("create_time"))
)
if not user_first_ac:
return [], {}, []
# 获取相关题目的所有首次AC记录用于排名
problem_ids = [item["problem_id"] for item in user_first_ac]
ranked_first_ac = list(
base_qs.filter(problem_id__in=problem_ids)
.values("user_id", "problem_id")
.annotate(first_ac_time=Min("create_time"))
)
# 按题目分组并排序
by_problem = defaultdict(list)
for item in ranked_first_ac:
by_problem[item["problem_id"]].append(item)
for _, arr in by_problem.items():
arr.sort(key=lambda x: (x["first_ac_time"], x["user_id"]))
return user_first_ac, by_problem, problem_ids
class AIDetailDataAPI(APIView):
@login_required
def get(self, request):
start = request.GET.get("start")
end = request.GET.get("end")
username = request.GET.get("username")
if username:
try:
user = User.objects.get(username=username)
except User.DoesNotExist:
return self.error("User does not exist")
else:
user = request.user
# 检查缓存
cache_key = get_cache_key(
"ai_detail", user.id, user.class_name or "", start, end
)
cached_result = cache.get(cache_key)
if cached_result:
return self.success(cached_result)
# 获取班级用户ID
class_user_ids = get_class_user_ids(user)
use_class_scope = bool(user.class_name) and len(class_user_ids) > 1
# 获取用户首次AC记录
user_first_ac, by_problem, problem_ids = get_user_first_ac_submissions(
user.id, start, end, class_user_ids, use_class_scope
)
if not user_first_ac:
result = {
"user": user.username,
"class_name": user.class_name,
"start": start,
"end": end,
"solved": [],
"grade": "",
"tags": {},
"difficulty": {},
"contest_count": 0,
}
cache.set(cache_key, result, CACHE_TIMEOUT)
return self.success(result)
# 优化的题目查询 - 一次性获取所有需要的数据
problems = self._get_problems_with_data(problem_ids)
# 构建解题记录
solved, contest_ids = self._build_solved_records(
user_first_ac, by_problem, problems, user.id
)
# 计算统计数据
avg_grade = self._calculate_average_grade(solved)
tags = self._calculate_top_tags(problems.values())
difficulty = self._calculate_difficulty_distribution(problems.values())
result = {
"user": user.username,
"class_name": user.class_name,
"start": start,
"end": end,
"solved": solved,
"grade": avg_grade,
"tags": tags,
"difficulty": difficulty,
"contest_count": len(set(contest_ids)),
}
# 缓存结果
cache.set(cache_key, result, CACHE_TIMEOUT)
return self.success(result)
def _get_problems_with_data(self, problem_ids):
"""优化的题目数据获取"""
problem_qs = (
Problem.objects.filter(id__in=problem_ids)
.select_related("contest")
.prefetch_related("tags")
)
return {p.id: p for p in problem_qs}
def _build_solved_records(self, user_first_ac, by_problem, problems, user_id):
"""构建解题记录"""
solved = []
contest_ids = []
for item in user_first_ac:
pid = item["problem_id"]
ranking_list = by_problem.get(pid, [])
# 查找用户排名
rank = None
for idx, rec in enumerate(ranking_list):
if rec["user_id"] == user_id:
rank = idx + 1
break
problem = problems.get(pid)
if not problem:
continue
grade = get_grade(rank, len(ranking_list))
if problem.contest_id:
contest_ids.append(problem.contest_id)
solved.append(
{
"problem": {
"display_id": problem._id,
"title": problem.title,
"contest_id": problem.contest_id,
"contest_title": getattr(problem.contest, "title", ""),
},
"ac_time": timezone.localtime(item["first_ac_time"]).isoformat(),
"rank": rank,
"ac_count": len(ranking_list),
"grade": grade,
}
)
# 按AC时间排序
solved.sort(key=lambda x: x["ac_time"])
return solved, contest_ids
def _calculate_average_grade(self, solved):
"""计算平均等级（出现次数最多的等级）"""
if not solved:
return ""
grade_count = defaultdict(int)
for s in solved:
grade_count[s["grade"]] += 1
return max(grade_count, key=grade_count.get)
def _calculate_top_tags(self, problems):
"""计算标签TOP5"""
tags_counter = defaultdict(int)
for problem in problems:
for tag in problem.tags.all():
if tag.name:
tags_counter[tag.name] += 1
top_tags = sorted(tags_counter.items(), key=lambda x: x[1], reverse=True)[:5]
return {name: count for name, count in top_tags}
def _calculate_difficulty_distribution(self, problems):
"""计算难度分布"""
diff_counter = {"Low": 0, "Mid": 0, "High": 0}
for problem in problems:
key = problem.difficulty if problem.difficulty in diff_counter else "Mid"
diff_counter[key] += 1
diff_sorted = sorted(diff_counter.items(), key=lambda x: x[1], reverse=True)
return {get_difficulty(k): v for k, v in diff_sorted}
class AIWeeklyDataAPI(APIView):
@login_required
def get(self, request):
end_iso = request.GET.get("end")
duration = request.GET.get("duration")
username = request.GET.get("username")
if username:
try:
user = User.objects.get(username=username)
except User.DoesNotExist:
return self.error("User does not exist")
else:
user = request.user
# 检查缓存
cache_key = get_cache_key(
"ai_weekly", user.id, user.class_name or "", end_iso, duration
)
cached_result = cache.get(cache_key)
if cached_result:
return self.success(cached_result)
# 获取班级用户ID
class_user_ids = get_class_user_ids(user)
use_class_scope = bool(user.class_name) and len(class_user_ids) > 1
# 解析时间参数
time_config = self._parse_duration(duration)
start = datetime.fromisoformat(end_iso) - time_config["total_delta"]
weekly_data = []
for i in range(time_config["show_count"]):
start = start + time_config["delta"]
period_end = start + time_config["delta"]
period_data = {
"unit": time_config["show_unit"],
"index": time_config["show_count"] - 1 - i,
"start": start.isoformat(),
"end": period_end.isoformat(),
"problem_count": 0,
"submission_count": 0,
"grade": "",
}
# 获取提交数量
submission_count = Submission.objects.filter(
user_id=user.id,
create_time__gte=start,
create_time__lte=period_end,
).count()
period_data["submission_count"] = submission_count
if submission_count == 0:
weekly_data.append(period_data)
continue
# 获取AC记录和等级
user_first_ac, by_problem, problem_ids = get_user_first_ac_submissions(
user.id,
start.isoformat(),
period_end.isoformat(),
class_user_ids,
use_class_scope,
)
if user_first_ac:
period_data["problem_count"] = len(problem_ids)
period_data["grade"] = self._calculate_period_grade(
user_first_ac, by_problem, user.id
)
weekly_data.append(period_data)
# 缓存结果
cache.set(cache_key, weekly_data, CACHE_TIMEOUT)
return self.success(weekly_data)
def _parse_duration(self, duration):
unit, count = duration.split(":")
count = int(count)
# 默认配置
show_count = 4
show_unit = "weeks"
total_delta = timedelta(weeks=show_count+1)
delta = timedelta(weeks=1)
if unit == "months" and count == 2:
# 过去八周
show_count = 8
total_delta = timedelta(weeks=9)
elif unit == "months" and count == 6:
# 过去六个月
show_count = 6
show_unit = "months"
total_delta = relativedelta(months=7)
delta = relativedelta(months=1)
elif unit == "years":
# 过去一年
show_count = 12
show_unit = "months"
total_delta = relativedelta(months=13)
delta = relativedelta(months=1)
return {
"show_count": show_count,
"show_unit": show_unit,
"total_delta": total_delta,
"delta": delta,
}
def _calculate_period_grade(self, user_first_ac, by_problem, user_id):
"""计算周期内的等级"""
grade_count = defaultdict(int)
for item in user_first_ac:
pid = item["problem_id"]
ranking_list = by_problem.get(pid, [])
# 查找用户排名
rank = None
for idx, rec in enumerate(ranking_list):
if rec["user_id"] == user_id:
rank = idx + 1
break
grade = get_grade(rank, len(ranking_list))
grade_count[grade] += 1
return max(grade_count, key=grade_count.get) if grade_count else ""
class AIAnalysisAPI(APIView):
def get(self, request):
return self.success("AI分析")

13
deploy/requirements.txt
View File

@@ -1,7 +1,10 @@
annotated-types==0.7.0
anyio==4.10.0
asgiref==3.8.1
certifi==2025.4.26
charset-normalizer==3.4.2
coverage==6.5.0
distro==1.9.0
django==5.2.3
django-cas-ng==5.0.1
django-dbconn-retry==0.1.8
@@ -15,10 +18,15 @@ flake8==7.0.0
flake8-coding==1.3.2
flake8-quotes==3.3.2
gunicorn==22.0.0
h11==0.16.0
httpcore==1.0.9
httpx==0.28.1
idna==3.10
jiter==0.11.0
jsonfield==3.1.0
lxml==5.4.0
mccabe==0.7.0
openai==1.108.1
otpauth==1.0.1
packaging==25.0
pillow==10.2.0
@@ -26,6 +34,8 @@ prometheus-client==0.22.1
psycopg==3.2.9
psycopg-binary==3.2.9
pycodestyle==2.11.1
pydantic==2.11.9
pydantic-core==2.33.2
pyflakes==3.2.0
python-cas==1.6.0
python-dateutil==2.8.2
@@ -34,7 +44,10 @@ raven==6.10.0
redis==6.2.0
requests==2.32.4
six==1.17.0
sniffio==1.3.1
sqlparse==0.5.3
tqdm==4.67.1
typing-extensions==4.14.0
typing-inspection==0.4.1
urllib3==2.4.0
xlsxwriter==3.2.0

6
oj/dev_settings.py
View File

@@ -7,8 +7,8 @@ BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
DATABASES = {
"default": {
"ENGINE": "django.db.backends.postgresql",
"HOST": "10.13.114.114",
"PORT": "5433",
"HOST": "150.158.29.156",
"PORT": "5432",
"NAME": "onlinejudge",
"USER": "onlinejudge",
"PASSWORD": "onlinejudge",
@@ -16,7 +16,7 @@ DATABASES = {
}
REDIS_CONF = {
"host": "10.13.114.114",
"host": "150.158.29.156",
"port": 6379,
}

1
oj/urls.py
View File

@@ -19,4 +19,5 @@ urlpatterns = [
path("api/admin/", include("comment.urls.admin")),
path("api/", include("tutorial.urls.tutorial")),
path("api/admin/", include("tutorial.urls.admin")),
path("api/", include("ai.urls.oj")),
]

1
pyproject.toml
View File

@@ -20,6 +20,7 @@ dependencies = [
"flake8-quotes==3.3.2",
"gunicorn==22.0.0",
"jsonfield==3.1.0",
"openai>=1.108.1",
"otpauth==1.0.1",
"pillow==10.2.0",
"psycopg==3.2.9",

121
submission/views/admin.py
View File

@@ -1,6 +1,6 @@
from account.decorators import super_admin_required
from judge.tasks import judge_task
# from judge.dispatcher import JudgeDispatcher
from utils.api import APIView
from ..models import Submission, JudgeStatus
from account.models import User, AdminType
@@ -8,6 +8,12 @@ from problem.models import Problem
from django.db.models import Count, Q
def get_real_name(username, class_name):
if class_name and username.startswith("ks"):
return username[len(f"ks{class_name}"):]
return username
class SubmissionRejudgeAPI(APIView):
@super_admin_required
def get(self, request):
@@ -15,7 +21,9 @@ class SubmissionRejudgeAPI(APIView):
if not id:
return self.error("Parameter error, id is required")
try:
submission = Submission.objects.select_related("problem").get(id=id, contest_id__isnull=True)
submission = Submission.objects.select_related("problem").get(
id=id, contest_id__isnull=True
)
except Submission.DoesNotExist:
return self.error("Submission does not exists")
submission.statistic_info = {}
@@ -24,6 +32,7 @@ class SubmissionRejudgeAPI(APIView):
judge_task.send(submission.id, submission.problem.id)
return self.success()
class SubmissionStatisticsAPI(APIView):
@super_admin_required
def get(self, request):
@@ -33,72 +42,112 @@ class SubmissionStatisticsAPI(APIView):
if not start or not end:
return self.error("start and end is required")
submissions = Submission.objects.filter(contest_id__isnull=True,
create_time__gte=start,
create_time__lte=end).select_related("problem__created_by")
submissions = Submission.objects.filter(
contest_id__isnull=True, create_time__gte=start, create_time__lte=end
).select_related("problem__created_by")
problem_id = request.GET.get("problem_id")
if problem_id:
try:
problem = Problem.objects.get(_id=problem_id, contest_id__isnull=True, visible=True)
problem = Problem.objects.get(
_id=problem_id, contest_id__isnull=True, visible=True
)
except Problem.DoesNotExist:
return self.error("Problem doesn't exist")
submissions = submissions.filter(problem=problem)
username = request.GET.get("username")
# 统计人数
person_count = 0
all_persons = []
all_users_dict = {}
if username:
submissions = submissions.filter(username__icontains=username)
all_persons = User.objects.filter(username__icontains=username,
all_users_dict = {
user["username"]: user["class_name"]
for user in User.objects.filter(
username__icontains=username,
is_disabled=False,
admin_type=AdminType.REGULAR_USER).values_list("username", flat=True)
person_count = all_persons.count()
admin_type=AdminType.REGULAR_USER,
).values("username", "class_name")
}
submission_count = submissions.count()
accepted_count = submissions.filter(result=JudgeStatus.ACCEPTED).count()
# 优化：一次性获取所有统计数据
submission_stats = submissions.aggregate(
total_count=Count("id"),
accepted_count=Count("id", filter=Q(result=JudgeStatus.ACCEPTED)),
)
submission_count = submission_stats["total_count"]
accepted_count = submission_stats["accepted_count"]
correct_rate = (
round(accepted_count / submission_count * 100, 2) if submission_count else 0
)
try:
correct_rate = round(accepted_count/submission_count*100, 2)
except ZeroDivisionError:
correct_rate = 0
# 优化：获取用户提交统计
user_submissions = (
submissions.values("username")
.annotate(
submission_count=Count("id"),
accepted_count=Count("id", filter=Q(result=JudgeStatus.ACCEPTED)),
)
.order_by("-submission_count")
)
counts = submissions.values("username").annotate(submission_count=Count("id", distinct=True),
accepted_count=Count("id", filter=Q(result=JudgeStatus.ACCEPTED), distinct=True),
).order_by("-submission_count")
# 获取所有有提交记录的用户的class_name信息
submitted_usernames = {item["username"] for item in user_submissions}
if submitted_usernames:
submitted_users_dict = {
user["username"]: user["class_name"]
for user in User.objects.filter(
username__in=submitted_usernames
).values("username", "class_name")
}
else:
submitted_users_dict = {}
# 处理有提交记录的用户
accepted = []
for item in counts:
for item in user_submissions:
username_key = item["username"]
if item["accepted_count"] > 0:
rate = round(item["accepted_count"] / item["submission_count"] * 100, 2)
item["correct_rate"] = f"{rate}%"
accepted.append(item)
accepted.append(
{
"username": username_key,
"class_name": submitted_users_dict.get(username_key),
"submission_count": item["submission_count"],
"accepted_count": item["accepted_count"],
"correct_rate": f"{rate}%",
}
)
# 处理无提交记录的用户，只返回姓名列表
unaccepted = []
if len(accepted) > 0:
unaccepted = list(set(all_persons) - set([item['username'] for item in accepted]))
if all_users_dict:
unaccepted_usernames = set(all_users_dict.keys()) - submitted_usernames
for username in unaccepted_usernames:
class_name = all_users_dict[username]
real_name = get_real_name(username, class_name)
unaccepted.append(real_name)
# 统计人数完成率
# 计算人数完成率
person_count = len(all_users_dict) if all_users_dict else 0
person_rate = 0
if person_count:
person_rate = round(len(accepted)/person_count*100, 2)
# 下面是做一些超出 100% 的操作，比如有人已经删号了，但是提交记录还在
if person_rate >= 100:
person_rate = 100
# 搜出来的人数比提交人数还多的情况
person_rate = min(100, round(len(accepted) / person_count * 100, 2))
# 处理已删除用户但提交记录仍存在的情况
if person_count < len(accepted):
person_count = len(accepted)
return self.success({
return self.success(
{
"submission_count": submission_count,
"accepted_count": accepted_count,
"correct_rate": f"{correct_rate}%",
"person_count": person_count,
"person_rate": f"{person_rate}%",
"data": accepted,
"data_unaccepted": unaccepted
})
"data_unaccepted": unaccepted,
}
)

230
uv.lock generated
View File

@@ -1,7 +1,30 @@
version = 1
revision = 2
revision = 3
requires-python = ">=3.12"
[[package]]
name = "annotated-types"
version = "0.7.0"
source = { registry = "https://pypi.org/simple" }
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