更新K4课程README,清理旧的班级记忆文件,调整目录结构

This commit is contained in:
chengzi
2026-05-13 15:16:05 +08:00
parent 2e7878007c
commit fecb347740
538 changed files with 8105 additions and 57270 deletions

View File

@@ -0,0 +1,710 @@
#!/usr/bin/env python3
"""
课程学生表现分析脚本
用法:
python scripts/analyze_course_student.py \\
--course-id 6975983771e15346c9e8fdc0 \\
--uid 248 --name 王梓骏 --lessons 8
"""
import io
import json
import os
import re
import sys
from collections import defaultdict
from datetime import datetime
from html import unescape
from pathlib import Path
import httpx
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding="utf-8", errors="replace")
sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding="utf-8", errors="replace")
PROJECT_ROOT = Path(__file__).parent.parent
def load_env(env_path: Path) -> dict:
d = {}
if env_path.exists():
for line in env_path.read_text(encoding="utf-8").split("\n"):
line = line.strip()
if line and not line.startswith("#") and "=" in line:
k, v = line.split("=", 1)
d[k.strip()] = v.strip()
return d
env = load_env(PROJECT_ROOT / ".env")
OJ_BASE_URL = os.environ.get("OJ_BASE_URL") or env.get(
"OJ_BASE_URL", "https://oj.qonnwolf.com"
)
USERNAME = os.environ.get("OJ_USERNAME") or env.get("OJ_USERNAME", "")
PASSWORD = os.environ.get("OJ_PASSWORD") or env.get("OJ_PASSWORD", "")
STATUS_MAP = {
"Accepted": "AC",
"Wrong Answer": "WA",
"Compile Error": "CE",
"Time Limit Exceeded": "TLE",
"Memory Limit Exceeded": "MLE",
"Runtime Error": "RE",
"Presentation Error": "PE",
"Output Limit Exceeded": "OLE",
"Runtime Error on Test": "RE",
"Partial Accepted": "PA",
}
# 作业名称 → 类型
HW_TYPE = {
"课堂练习": "A",
"课后作业": "B",
"拓展练习": "C",
}
# ──────────────────────────────────────────
# 基础工具
# ──────────────────────────────────────────
def strip_tags(html: str) -> str:
return unescape(re.sub(r"<[^>]+>", "", html)).replace("\xa0", " ").strip()
def detect_status(row_html: str) -> str:
for kw, st in STATUS_MAP.items():
if kw in row_html:
return st
return "UNKNOWN"
def normalize_time(raw: str) -> str:
m = re.search(r"(\d{4})-(\d{1,2})-(\d{1,2})\s+(\d{1,2}):(\d{2}):(\d{2})", raw)
if not m:
return ""
y, mo, d, h, mi, s = m.groups()
return f"{y}-{int(mo):02d}-{int(d):02d}T{int(h):02d}:{mi}:{s}"
# ──────────────────────────────────────────
# 登录
# ──────────────────────────────────────────
def login(client: httpx.Client) -> bool:
try:
r = client.post("/login", json={"uname": USERNAME, "password": PASSWORD})
r.raise_for_status()
ok = any(c.name == "sid" for c in client.cookies.jar)
print(f" {'[OK] 登录成功' if ok else '[X] 登录失败'}: {USERNAME}")
return ok
except Exception as e:
print(f" [X] 登录异常: {e}")
return False
# ──────────────────────────────────────────
# 课程结构抓取(解析 sectionHWMap
# ──────────────────────────────────────────
def fetch_course_structure(client: httpx.Client, course_id: str) -> list[dict]:
"""
从课程页面解析所有节次和作业 ID。
返回: [{"title": "知识回顾", "homeworks": [{"hw_id": "...", "type": "A/B/C", "name": "..."}]}, ...]
按页面顺序排列,跳过 homeworks 为空的节次。
"""
r = client.get(f"/course/{course_id}")
html = r.text
# 1) 提取节次标题(按 HTML 顺序)
# openGlobalPanel('<section_id>', '<title>')
panel_calls = re.findall(
r"openGlobalPanel\('([A-Fa-f0-9]{24})',\s*'([^']+)'\)", html
)
section_titles: dict[str, str] = {} # id → title
section_order: list[str] = [] # ordered section ids
for sid, title in panel_calls:
if sid not in section_titles:
section_titles[sid] = title
section_order.append(sid)
# 2) 提取 sectionHWMap
m = re.search(r"sectionHWMap:\s*(\{.*?\}),\s*\n\s*open", html, re.DOTALL)
if not m:
print(" [X] 未找到 sectionHWMap")
return []
raw_map = m.group(1)
section_hws: dict[str, list[dict]] = {} # section_id → [{hw_id, name}]
for sid_m in re.finditer(r'"([A-Fa-f0-9]{24})":\s*\[(.*?)\]', raw_map, re.DOTALL):
sid = sid_m.group(1)
entries = re.findall(
r'\{\s*id:\s*"([^"]+)",\s*name:\s*"([^"]+)"', sid_m.group(2)
)
section_hws[sid] = [{"hw_id": hw_id, "name": name} for hw_id, name in entries]
# 3) 按顺序组合
lessons = []
for sid in section_order:
hws_raw = section_hws.get(sid, [])
if not hws_raw:
continue # 该节次无作业,跳过
homeworks = []
for hw in hws_raw:
# 去掉 emoji识别类型
name_clean = re.sub(r"[^\w\s]", "", hw["name"]).strip()
hw_type = "other"
for key, t in HW_TYPE.items():
if key in hw["name"]:
hw_type = t
break
homeworks.append(
{"hw_id": hw["hw_id"], "type": hw_type, "name": hw["name"]}
)
lessons.append(
{
"section_id": sid,
"title": section_titles.get(sid, sid),
"homeworks": homeworks,
}
)
return lessons
# ──────────────────────────────────────────
# 提交记录抓取
# ──────────────────────────────────────────
def parse_record_rows(html: str) -> list[dict]:
rows = re.findall(r"<tr[^>]*>(.*?)</tr>", html, re.IGNORECASE | re.DOTALL)
records = []
for i, row in enumerate(rows, 1):
if "/user/" not in row or "/p/" not in row:
continue
user_m = re.search(r'href="/user/(\d+)"[^>]*>(.*?)</a>', row, re.DOTALL)
if not user_m:
continue
prob_m = re.search(
r'href="/p/([^"?/]+)(?:\?[^"]*)?"[^>]*>(.*?)</a>', row, re.DOTALL
)
rec_id_m = re.search(r"/record/([A-Za-z0-9]+)", row)
time_m = re.search(r"(\d{4}-\d{1,2}-\d{1,2}\s+\d{1,2}:\d{2}:\d{2})", row)
records.append(
{
"id": rec_id_m.group(1) if rec_id_m else str(i),
"uid": int(user_m.group(1)),
"uname": strip_tags(user_m.group(2)),
"pid": strip_tags(prob_m.group(1)) if prob_m else "",
"status": detect_status(row),
"time": normalize_time(time_m.group(1)) if time_m else "",
}
)
return records
def fetch_hw_official_pids(client: httpx.Client, hw_id: str) -> list[str]:
"""
从作业页面读取官方题目列表,作为分母。
避免用提交记录反推题目导致计数偏差。
"""
r = client.get(f"/homework/{hw_id}")
pids = re.findall(r'href="/p/([A-Za-z0-9]+)"', r.text)
return list(dict.fromkeys(pids)) # 去重保序
def fetch_hw_records(
client: httpx.Client, hw_id: str, max_pages: int = 30
) -> list[dict]:
records, seen = [], set()
for page in range(1, max_pages + 1):
r = client.get(f"/record?tid={hw_id}&page={page}")
if r.status_code != 200:
break
rows = parse_record_rows(r.text)
if not rows:
break
new = 0
for rec in rows:
if rec["id"] not in seen:
seen.add(rec["id"])
records.append(rec)
new += 1
if new == 0:
break
if f"page={page + 1}" not in r.text:
break
records.sort(key=lambda x: x.get("time", ""))
return records
# ──────────────────────────────────────────
# 分析逻辑
# ──────────────────────────────────────────
def pattern_label(attempts: int, solved: bool) -> str:
if attempts == 0:
return "未提交"
if not solved:
return "尝试未通过"
if attempts == 1:
return "一气呵成 ⚡"
if attempts <= 3:
return "调试改进"
if attempts <= 6:
return "多次尝试"
return "耐心调试"
def analyze_student(uid: int, uname: str, lessons: list[dict]) -> dict:
"""
以题目为粒度统计完成情况:
- total[type]["total"] = 该类型所有作业的总题目数
- total[type]["done"] = 学生 AC 的题目数
- total[type]["attempts"] = 学生该类型总提交次数
"""
result = {
"uid": uid,
"uname": uname,
"lessons": [],
"total": {
"A": {"done": 0, "total": 0, "attempts": 0},
"B": {"done": 0, "total": 0, "attempts": 0},
"C": {"done": 0, "total": 0, "attempts": 0},
},
"all_errors": defaultdict(int),
}
for lesson in lessons:
ls = {"title": lesson["title"], "problems": [], "present": False}
for hw in lesson["homeworks"]:
recs = hw["records"]
# ── 官方题目列表(从作业页面读取,不从提交记录推断)──
official_pids = hw.get("official_pids", [])
all_pids = (
official_pids
if official_pids
else sorted(set(r["pid"] for r in recs if r["pid"]))
)
n_total_pids = len(all_pids)
# ── 该学生的提交 ──
stu_recs = [r for r in recs if r["uid"] == uid]
attempts = len(stu_recs)
# 该学生 AC 的题目(只统计在官方题目列表内的)
official_pids_set = set(all_pids)
stu_ac_pids = set(
r["pid"]
for r in stu_recs
if r["status"] == "AC" and r["pid"] and r["pid"] in official_pids_set
)
n_solved = len(stu_ac_pids)
# 错误类型(非 AC 提交)
errors = [r["status"] for r in stu_recs if r["status"] != "AC"]
err_counts = defaultdict(int)
for e in errors:
err_counts[e] += 1
result["all_errors"][e] += 1
t = hw["type"]
if t in ("A", "B", "C"):
result["total"][t]["total"] += n_total_pids
result["total"][t]["attempts"] += attempts
result["total"][t]["done"] += n_solved
# 完成情况文字
if attempts == 0:
pat = "未提交"
elif n_solved == n_total_pids:
pat = f"全部完成 ({n_solved}/{n_total_pids})"
else:
pat = f"部分完成 ({n_solved}/{n_total_pids})"
ls["problems"].append(
{
"name": hw["name"],
"type": t,
"attempts": attempts,
"n_solved": n_solved,
"n_total": n_total_pids,
"solved": n_solved == n_total_pids and n_total_pids > 0,
"pattern": pat,
"errors": dict(err_counts),
}
)
if attempts > 0:
ls["present"] = True
result["lessons"].append(ls)
result["all_errors"] = dict(result["all_errors"])
return result
# ──────────────────────────────────────────
# 报告生成
# ──────────────────────────────────────────
MEDAL = {0: "🥇 第1名", 1: "🥈 第2名", 2: "🥉 第3名"}
def pct(done, total):
return 0.0 if total == 0 else done / total * 100
def rank_scores(all_analyses: list[dict], key: str):
scores = []
for a in all_analyses:
t = a["total"][key]
scores.append((a["uid"], a["uname"], pct(t["done"], t["total"])))
scores.sort(key=lambda x: -x[2])
return scores
def build_report(
target_uid: int,
target_name: str,
all_analyses: list[dict],
lessons: list[dict],
) -> str:
target = next((a for a in all_analyses if a["uid"] == target_uid), None)
if not target:
return f"❌ 未找到 uid={target_uid} 的提交记录(该学生可能还未提交过任何题目)"
lines = []
W = 62
lines.append("=" * W)
lines.append(f" {target_name} · 2026春季班 CSP04 学习报告")
lines.append(
f" 统计课次:前 {len(lessons)} 节 | 生成: {datetime.now().strftime('%Y-%m-%d %H:%M')}"
)
lines.append("=" * W)
t = target["total"]
a_rate = pct(t["A"]["done"], t["A"]["total"])
b_rate = pct(t["B"]["done"], t["B"]["total"])
c_rate = pct(t["C"]["done"], t["C"]["total"])
attend = sum(1 for l in target["lessons"] if l["present"])
# ── 一、总体概览 ──
lines.append("")
lines.append("【一、总体学习概览】")
lines.append(f" 出勤情况:{attend}/{len(lessons)} 节有提交记录")
lines.append(
f" 课堂练习A{t['A']['done']}/{t['A']['total']} 题 完成率 {a_rate:.0f}% 累计 {t['A']['attempts']} 次提交"
)
lines.append(
f" 课后作业B{t['B']['done']}/{t['B']['total']} 题 完成率 {b_rate:.0f}% 累计 {t['B']['attempts']} 次提交"
)
lines.append(
f" 拓展练习C{t['C']['done']}/{t['C']['total']} 题 完成率 {c_rate:.0f}% 累计 {t['C']['attempts']} 次提交"
)
# ── 二、逐节课 ──
lines.append("")
lines.append("【二、逐节课做题明细】")
for i, ls in enumerate(target["lessons"], 1):
tag = "" if ls["present"] else ""
lines.append(f"\n {tag}{i}{ls['title']}")
for p in ls["problems"]:
if p["attempts"] == 0:
icon = ""
elif p["solved"]:
icon = ""
else:
icon = ""
type_label = {"A": "课堂练习", "B": "课后作业", "C": "拓展练习"}.get(
p["type"], "其他"
)
err_str = ""
if p["errors"]:
err_str = (
" [" + ", ".join(f"{k}×{v}" for k, v in p["errors"].items()) + "]"
)
lines.append(
f" {icon} {type_label} {p['attempts']}次提交 {p['pattern']}{err_str}"
)
# ── 三、班级对比 ──
lines.append("")
lines.append("【三、在班级中的位置】")
n = len(all_analyses)
for key, label in [("A", "课堂练习"), ("B", "课后作业"), ("C", "拓展练习")]:
scores = rank_scores(all_analyses, key)
avg = sum(s for _, _, s in scores) / len(scores) if scores else 0
rank = next(i for i, (uid, _, _) in enumerate(scores) if uid == target_uid)
my_sc = next(s for uid, _, s in scores if uid == target_uid)
medal_str = MEDAL.get(rank, f"{rank + 1}")
lines.append(
f"\n {label} {medal_str} {target_name}: {my_sc:.0f}% (均值: {avg:.0f}%,共{n}人)"
)
lines.append("" + "" * 42)
for j, (uid, uname, sc) in enumerate(scores):
bar = "" * int(sc / 5)
me = " ← 本人" if uid == target_uid else ""
lines.append(f"{j + 1:2d}. {uname[:5]:<5s} {sc:5.1f}% {bar}{me}")
lines.append("" + "" * 42)
# ── 四、亮点 ──
lines.append("")
lines.append("【四、做得好的地方 ✨】")
strengths = []
if attend == len(lessons):
strengths.append(f"全勤出勤:{len(lessons)} 节课均有提交记录,学习连贯性强")
elif attend >= len(lessons) * 0.75:
strengths.append(f"出勤率高达 {attend}/{len(lessons)} 节,学习节奏稳定")
scores_a = rank_scores(all_analyses, "A")
rank_a = next(i for i, (u, _, _) in enumerate(scores_a) if u == target_uid)
scores_b = rank_scores(all_analyses, "B")
rank_b = next(i for i, (u, _, _) in enumerate(scores_b) if u == target_uid)
scores_c = rank_scores(all_analyses, "C")
rank_c = next(i for i, (u, _, _) in enumerate(scores_c) if u == target_uid)
if rank_a == 0:
strengths.append(
f"课堂练习完成率全班第一({a_rate:.0f}%),课堂专注度和吸收能力突出"
)
elif rank_a <= 2:
strengths.append(f"课堂练习完成率班级前三({a_rate:.0f}%),课堂表现优秀")
elif a_rate >= 80:
strengths.append(f"课堂练习完成率 {a_rate:.0f}%,基础掌握较扎实")
if b_rate >= 80:
strengths.append(
f"课后作业完成率 {b_rate:.0f}%,课后巩固习惯{'很好' if b_rate >= 90 else '较好'}"
)
if rank_b == 0 and b_rate > 0:
strengths.append("课后作业完成率全班最高,自律性强、学习投入度高")
if c_rate > 0:
strengths.append(
f"有完成拓展练习({c_rate:.0f}%),主动挑战高难度题,很有进取心"
)
if rank_c == 0 and c_rate > 0:
strengths.append("拓展练习全班第一,学有余力且善于钻研")
total_solved = t["A"]["done"] + t["B"]["done"] + t["C"]["done"]
total_attempts = t["A"]["attempts"] + t["B"]["attempts"] + t["C"]["attempts"]
if total_solved > 0:
avg_tries = total_attempts / total_solved
if avg_tries <= 2:
strengths.append(
f"平均仅需 {avg_tries:.1f} 次提交即可通过,思路清晰、代码质量高"
)
if not strengths:
strengths.append("坚持参与学习,持续积累是进步的基础")
for s in strengths:
lines.append(f"{s}")
# ── 五、待改进 ──
lines.append("")
lines.append("【五、需要加强的地方 📌】")
gaps = []
if a_rate < 60:
gaps.append(
f"课堂练习完成率偏低({a_rate:.0f}%),课堂时间利用率有待提升,"
"遇到卡点建议及时向老师请教,不要在一个问题上停留太久"
)
elif a_rate < 80:
gaps.append(
f"课堂练习完成率 {a_rate:.0f}%,还有提升空间,建议下笔前先把题意和思路整理清楚"
)
if b_rate < 30:
gaps.append(
f"课后作业完成率仅 {b_rate:.0f}%,课后练习严重不足——知识点在课堂上理解了,"
"但不做题就很容易遗忘,建议每次课后至少完成必做作业"
)
elif b_rate < 60:
gaps.append(f"课后作业完成率 {b_rate:.0f}%,课后练习不够充分,建议提高完成频率")
if c_rate == 0 and t["C"]["total"] > 0:
gaps.append("拓展练习暂无提交——不要求全部做完,但尝试一下对思维提升很有帮助")
if total_solved > 0:
avg_tries = total_attempts / total_solved
if avg_tries > 8:
gaps.append(
f"平均每题需要 {avg_tries:.1f} 次才通过,建议做题前先在草稿纸上梳理逻辑,"
"把样例手动跑一遍,再提交,大幅减少无效试错"
)
elif avg_tries > 5:
gaps.append(
f"平均每题约 {avg_tries:.1f} 次提交通过,养成'提交前自检'习惯可以进一步减少次数"
)
errs = target["all_errors"]
if errs.get("WA", 0) >= 10:
gaps.append(
f"答案错误WA累计 {errs['WA']} 次,建议重点练习边界条件判断和分类讨论,"
"每次WA后认真分析是哪种情况遗漏了"
)
if errs.get("CE", 0) >= 5:
gaps.append(f"编译错误CE累计 {errs['CE']} 次,提交前先确认代码没有语法错误")
if errs.get("RE", 0) >= 5:
gaps.append(f"运行错误RE{errs['RE']} 次,注意数组下标越界和递归终止条件")
if errs.get("TLE", 0) >= 3:
gaps.append(
f"超时TLE{errs['TLE']} 次,需要关注算法时间复杂度,避免暴力解法"
)
if not gaps:
gaps.append("整体表现均衡,建议进一步挑战拓展练习,向更高水平迈进")
for g in gaps:
lines.append(f" 📌 {g}")
# ── 六、家长建议 ──
lines.append("")
lines.append("【六、给家长的话】")
if b_rate < 50:
lines.append(" • 课后作业完成率不高,建议每次上完课后家长提醒孩子完成练习,")
lines.append(' 最好当天做,养成"当天课当天练"的好习惯,效果事半功倍。')
else:
lines.append(" • 课后练习完成情况不错!鼓励孩子继续保持,")
lines.append(" 也可以问问孩子今天学了什么,帮助他用语言组织、加深理解。")
if c_rate == 0 and t["C"]["total"] > 0:
lines.append(" • 拓展练习还没开始尝试,如果孩子平时有余力,")
lines.append(" 可以鼓励他试试看,不要求做完,重要的是训练思维的过程。")
lines.append(" • 信奥学习贵在坚持,遇到难题时多鼓励孩子,")
lines.append(" 告诉他“卡住了很正常,调试出来才是成长”。")
lines.append(" 有任何疑问随时联系老师~")
lines.append("")
lines.append("=" * W)
return "\n".join(lines)
# ──────────────────────────────────────────
# 主流程
# ──────────────────────────────────────────
def main():
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--course-id", required=True)
parser.add_argument("--uid", required=True, type=int)
parser.add_argument("--name", default="")
parser.add_argument("--lessons", default=8, type=int, help="分析前 N 节课")
args = parser.parse_args()
client = httpx.Client(base_url=OJ_BASE_URL, timeout=60.0, follow_redirects=True)
# 1. 登录
print("\n[1] 登录 OJ...")
if not login(client):
sys.exit(1)
# 2. 解析课程结构
print(f"\n[2] 解析课程结构: {args.course_id}")
all_lessons = fetch_course_structure(client, args.course_id)
print(f" 共找到 {len(all_lessons)} 个有作业的节次")
for i, l in enumerate(all_lessons, 1):
hw_summary = " | ".join(f"{h['name']}" for h in l["homeworks"])
print(f"{i}节: {l['title']} [{hw_summary}]")
lessons = all_lessons[: args.lessons]
print(f"\n 分析前 {len(lessons)}")
# 3. 抓取每节课的题目列表 + 提交记录
print(f"\n[3] 抓取作业题目列表与提交记录...")
for i, lesson in enumerate(lessons, 1):
print(f"{i}节: {lesson['title']}")
for hw in lesson["homeworks"]:
# 先拉官方题目列表
official_pids = fetch_hw_official_pids(client, hw["hw_id"])
hw["official_pids"] = official_pids
# 再拉提交记录
recs = fetch_hw_records(client, hw["hw_id"])
hw["records"] = recs
n_students = len({r["uid"] for r in recs})
print(
f" {hw['name']} (tid={hw['hw_id'][:8]}...): "
f"{len(official_pids)} 道题 / {len(recs)} 条记录 / {n_students} 名学生"
)
client.close()
# 4. 汇总所有学生
print(f"\n[4] 汇总学生列表...")
uid_uname: dict[int, str] = {}
for lesson in lessons:
for hw in lesson["homeworks"]:
for rec in hw["records"]:
uid_uname[rec["uid"]] = rec["uname"]
if args.uid not in uid_uname:
uid_uname[args.uid] = args.name or f"uid{args.uid}"
elif args.name:
uid_uname[args.uid] = args.name
print(f"{len(uid_uname)} 名学生有记录")
for uid, uname in sorted(uid_uname.items(), key=lambda x: x[1]):
tag = " ← 目标" if uid == args.uid else ""
print(f" uid={uid} {uname}{tag}")
# 5. 分析所有学生
print(f"\n[5] 分析各学生数据...")
all_analyses = []
for uid, uname in sorted(uid_uname.items()):
a = analyze_student(uid, uname, lessons)
all_analyses.append(a)
t = a["total"]
print(
f" {uname}(uid={uid}): "
f"A={t['A']['done']}/{t['A']['total']} "
f"B={t['B']['done']}/{t['B']['total']} "
f"C={t['C']['done']}/{t['C']['total']}"
)
# 6. 生成报告
target_name = uid_uname.get(args.uid, args.name or f"uid{args.uid}")
print(f"\n[6] 生成报告: {target_name} (uid={args.uid})")
report = build_report(args.uid, target_name, all_analyses, lessons)
print("\n" + report)
# 7. 保存
out_dir = PROJECT_ROOT / ".claude" / "memory" / "oj" / "analysis"
out_dir.mkdir(parents=True, exist_ok=True)
out_txt = out_dir / f"course_{args.course_id[:8]}_{args.uid}_report.txt"
out_txt.write_text(report, encoding="utf-8")
print(f"\n📄 报告已保存: {out_txt}")
out_json = out_dir / f"course_{args.course_id[:8]}_{args.uid}_raw.json"
payload = {
"course_id": args.course_id,
"target_uid": args.uid,
"target_name": target_name,
"generated_at": datetime.now().isoformat(),
"lessons_analyzed": len(lessons),
"lesson_titles": [l["title"] for l in lessons],
"all_analyses": [
{k: v for k, v in a.items() if k != "lessons"} for a in all_analyses
],
}
out_json.write_text(
json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8"
)
print(f"📊 数据已保存: {out_json}")
if __name__ == "__main__":
main()

19
scripts/backup.bat Normal file
View File

@@ -0,0 +1,19 @@
@echo off
REM 本地Git备份脚本 (Windows版本)
echo 开始执行本地备份...
REM 切换到备份分支
git checkout local-backup
REM 从主分支合并最新更改
echo 从main分支合并最新更改...
git merge main
REM 切换回主分支
git checkout main
echo 本地备份完成!
echo 备份分支: local-backup
echo 可以使用 "git log local-backup" 查看备份历史
pause

117
scripts/query-attendance.js Normal file
View File

@@ -0,0 +1,117 @@
const axios = require('axios');
require('dotenv').config();
const API_BASE_URL = process.env.API_BASE_URL;
const AUTHORIZATION = process.env.AUTHORIZATION;
// 查询橙子老师上周整体出勤率
async function getTeacherAttendanceRate() {
try {
console.log('🔍 正在查询橙子老师上周整体出勤率...');
const response = await axios.get(`${API_BASE_URL}/reports/teacher-attendance-rates`, {
headers: {
'Authorization': AUTHORIZATION
},
params: {
teacher_name: '橙子(程城)',
begin_date: '2026-04-21',
end_date: '2026-04-27'
}
});
console.log('✅ 整体出勤率数据获取成功:');
console.log(JSON.stringify(response.data, null, 2));
return response.data;
} catch (error) {
console.error('❌ 查询失败:', error.response ? error.response.data : error.message);
return null;
}
}
// 查询上周每天的详细课程和学生出勤明细
async function getDailyTeachingSchedule() {
const dates = [
'2026-04-21', '2026-04-22', '2026-04-23', '2026-04-24',
'2026-04-25', '2026-04-26', '2026-04-27'
];
const allData = [];
for (const date of dates) {
try {
console.log(`\n🔍 正在查询 ${date} 的课程明细...`);
const response = await axios.get(`${API_BASE_URL}/reports/teaching-schedule`, {
headers: {
'Authorization': AUTHORIZATION
},
params: {
teacher_name: '橙子(程城)',
teaching_date: date
}
});
if (response.data.code === 0 && response.data.data.items.length > 0) {
allData.push({
date: date,
courses: response.data.data.items
});
console.log(`${date} 找到 ${response.data.data.items.length} 节课`);
} else {
console.log(` ${date} 没有课程安排`);
}
} catch (error) {
console.error(`❌ 查询 ${date} 失败:`, error.response ? error.response.data : error.message);
}
}
return allData;
}
// 主函数
async function main() {
// 1. 获取整体出勤率
const overallRate = await getTeacherAttendanceRate();
// 2. 获取每日明细
const dailyDetails = await getDailyTeachingSchedule();
// 3. 汇总数据并保存
const result = {
query_range: '2026-04-21 至 2026-04-27',
teacher_name: '橙子(程城)',
overall_attendance_rate: overallRate,
daily_course_details: dailyDetails
};
// 保存到文件
const fs = require('fs');
const outputPath = '上周学生出勤原始数据.json';
fs.writeFileSync(outputPath, JSON.stringify(result, null, 2));
console.log(`\n🎉 所有数据查询完成,已保存到:${outputPath}`);
console.log('\n📊 数据摘要:');
// 统计总出勤情况
let totalStudents = 0;
let attendedStudents = 0;
let leaveStudents = 0;
let absentStudents = 0;
dailyDetails.forEach(day => {
day.courses.forEach(course => {
course.students.forEach(student => {
totalStudents++;
if (student.attendance_status === '✅ 出勤') attendedStudents++;
else if (student.attendance_status === '⏸ 请假') leaveStudents++;
else if (student.attendance_status === '❌ 缺勤') absentStudents++;
});
});
});
console.log(`- 总学生人次:${totalStudents}`);
console.log(`- 正常出勤:${attendedStudents} 人次(${totalStudents > 0 ? ((attendedStudents / totalStudents) * 100).toFixed(2) : 0}%`);
console.log(`- 请假:${leaveStudents} 人次(${totalStudents > 0 ? ((leaveStudents / totalStudents) * 100).toFixed(2) : 0}%`);
console.log(`- 缺勤:${absentStudents} 人次(${totalStudents > 0 ? ((absentStudents / totalStudents) * 100).toFixed(2) : 0}%`);
}
main();

View File

@@ -0,0 +1,705 @@
#!/usr/bin/env python3
"""
获取CSP05-03课次的OJ作业数据并更新已有学生反馈。
使用方式:
python scripts/update_feedback_with_oj.py
功能:
1. 登录OJ系统
2. 从hw_dict.json获取CSP05-03的作业ID列表
3. 抓取每个作业的提交记录
4. 按学生分析做题情况(思考模式、错误分布)
5. 将OJ数据分析结果追加到已有的反馈文件中
"""
import io
import json
import os
import re
import sys
from collections import defaultdict
# 修复Windows控制台编码GBK无法输出emoji
sys.stdout = io.TextIOWrapper(sys.stdout.buffer, encoding='utf-8', errors='replace')
sys.stderr = io.TextIOWrapper(sys.stderr.buffer, encoding='utf-8', errors='replace')
from datetime import datetime
from html import unescape
from pathlib import Path
from typing import Any
import httpx
def load_env_from_file(env_path: Path) -> dict:
"""从.env文件加载环境变量"""
env_vars = {}
if env_path.exists():
for line in env_path.read_text(encoding='utf-8').split('\n'):
line = line.strip()
if line and not line.startswith('#') and '=' in line:
key, value = line.split('=', 1)
env_vars[key] = value
return env_vars
# 加载.env配置
PROJECT_ROOT = Path(__file__).parent.parent
env_vars = load_env_from_file(PROJECT_ROOT / '.env')
# ========== 配置(优先级:环境变量 > .env文件 > 默认值) ==========
OJ_BASE_URL = os.environ.get('OJ_BASE_URL') or env_vars.get('OJ_BASE_URL', 'https://oj.qonnwolf.com')
USERNAME = os.environ.get('OJ_USERNAME') or env_vars.get('OJ_USERNAME', '')
PASSWORD = os.environ.get('OJ_PASSWORD') or env_vars.get('OJ_PASSWORD', '')
# 默认值Claude Code运行时会通过命令行参数覆盖
COURSE_CODE = "CSP05-03"
COURSE_TITLE = ""
CLASS_NAME = "CSP05克力周六1600"
FEEDBACK_DATE = ""
# 出勤学生名单(通过--students参数传入逗号分隔
ATTENDING_STUDENTS = []
HW_DICT_PATH = PROJECT_ROOT / "config" / "hw_dict.json"
CLASS_DIR = None # 运行时设置
def parse_args():
"""解析命令行参数"""
import argparse
parser = argparse.ArgumentParser(description="获取OJ作业数据并更新反馈")
parser.add_argument("--course", default="CSP05-03", help="课程代码,如 CSP05-03")
parser.add_argument("--title", default="", help="课程标题,如 递归应用")
parser.add_argument("--class-name", default="CSP05克力周六1600", help="班级名称")
parser.add_argument("--date", default="", help="上课日期 YYYYMMDD默认今天")
parser.add_argument("--students", default="", help="出勤学生名单,逗号分隔")
parser.add_argument("--username", default=USERNAME or "", help="OJ用户名默认从 .env 读取)")
parser.add_argument("--password", default=PASSWORD or "", help="OJ密码默认从 .env 读取)")
parser.add_argument("--get-student-oj", default="", help="只获取单个学生的OJ数据并输出Markdown传入学生姓名")
return parser.parse_args()
# ========== OJ数据获取 ==========
STATUS_MAP = {
"Accepted": "AC",
"Wrong Answer": "WA",
"Compile Error": "CE",
"Time Limit Exceeded": "TLE",
"Time Limit": "TLE",
"Memory Limit Exceeded": "MLE",
"Memory Limit": "MLE",
"Runtime Error": "RE",
"Presentation Error": "PE",
"Output Limit Exceeded": "OLE",
}
def strip_tags(raw_html: str) -> str:
"""移除HTML标签并清理空白"""
text = re.sub(r"<[^>]+>", "", raw_html)
text = unescape(text).replace("\xa0", " ")
return " ".join(text.split())
def detect_status(row_html: str) -> str:
"""识别判题状态"""
for keyword, status in STATUS_MAP.items():
if keyword in row_html:
return status
return "UNKNOWN"
def normalize_submit_time(raw_text: str) -> str:
"""标准化提交时间"""
match = re.search(
r"(\d{4})-(\d{1,2})-(\d{1,2})\s+(\d{1,2}):(\d{2}):(\d{2})",
raw_text,
)
if not match:
return ""
year, month, day, hour, minute, second = match.groups()
return f"{year}-{int(month):02d}-{int(day):02d}T{int(hour):02d}:{minute}:{second}"
def parse_record_rows(html: str) -> list[dict[str, Any]]:
"""从HTML页面解析提交记录行"""
rows = re.findall(r"<tr[^>]*>(.*?)</tr>", html, re.IGNORECASE | re.DOTALL)
records: list[dict[str, Any]] = []
for index, row_html in enumerate(rows, start=1):
if "/user/" not in row_html or "/p/" not in row_html:
continue
# 提取用户ID和姓名
user_match = re.search(
r'href="/user/(\d+)"[^>]*>(.*?)</a>',
row_html,
re.IGNORECASE | re.DOTALL,
)
if not user_match:
continue
# 提取题目
problem_match = re.search(
r'href="/p/([^"?/]+)(?:\?[^"]*)??"[^>]*>(.*?)</a>',
row_html,
re.IGNORECASE | re.DOTALL,
)
if not problem_match:
continue
# 提取记录ID
record_id_match = re.search(r'/record/([A-Za-z0-9]+)', row_html, re.IGNORECASE)
# 提交时间
submit_time_match = re.search(
r"(\d{4}-\d{1,2}-\d{1,2}\s+\d{1,2}:\d{2}:\d{2})",
row_html,
)
student_name = strip_tags(user_match.group(2))
records.append({
"id": record_id_match.group(1) if record_id_match else str(index),
"student_id": int(user_match.group(1)),
"student_name": student_name,
"problem_id": strip_tags(problem_match.group(1)),
"problem_title": strip_tags(problem_match.group(2)),
"status": detect_status(row_html),
"submit_time": (
normalize_submit_time(submit_time_match.group(1))
if submit_time_match else ""
),
})
return records
def login(client: httpx.Client) -> bool:
"""登录OJ系统"""
try:
response = client.post("/login", json={"uname": USERNAME, "password": PASSWORD})
response.raise_for_status()
has_sid = any(c.name == "sid" for c in client.cookies.jar)
if has_sid:
print(f" [OK] 登录成功: {USERNAME}")
return True
else:
print(f" [X] 登录失败: 未获取到session")
return False
except Exception as e:
print(f" [X] 登录失败: {e}")
return False
def fetch_homework_records(
client: httpx.Client,
homework_id: str,
student_names: set[str],
max_pages: int = 20,
) -> list[dict[str, Any]]:
"""抓取作业的提交记录,只保留目标学生"""
records: list[dict[str, Any]] = []
seen_ids: set[str] = set()
for page in range(1, max_pages + 1):
resp = client.get(f"/record?tid={homework_id}&page={page}")
if resp.status_code != 200:
break
page_records = parse_record_rows(resp.text)
if not page_records:
break
for record in page_records:
if record["student_name"] not in student_names:
continue
record_id = str(record["id"])
if record_id in seen_ids:
continue
seen_ids.add(record_id)
records.append(record)
# 检查是否有下一页
if f"page={page + 1}" not in resp.text:
break
# 按提交时间排序
records.sort(key=lambda x: x.get("submit_time", ""))
return records
def fetch_homework_problems(
client: httpx.Client,
homework_id: str,
) -> list[dict[str, str]]:
"""获取作业包中的具体题目列表只取A包"""
resp = client.get(f"/homework/{homework_id}")
if resp.status_code != 200:
print(f" [X] 获取作业详情失败: {resp.status_code}")
return []
problems = []
# 匹配HTML中的题目行
# <a href="/p/CSP0309A1?tid=..."><b>CSP0309A1</b>&nbsp;&nbsp;银行叫号模拟</a>
pattern = (
r'href="/p/([^"?]+)\?tid=' + re.escape(homework_id) +
r'"[^>]*><b>([^<]+)</b>(?:&nbsp;|\s)*([^<]*)</a>'
)
matches = re.findall(pattern, resp.text)
for pid, code, name in matches:
name_clean = strip_tags(name).strip()
if not name_clean:
name_clean = code
problems.append({
"id": pid,
"code": strip_tags(code),
"name": name_clean,
})
return problems
def load_homework_ids(course_code: str) -> list[dict[str, str]]:
"""从hw_dict.json加载作业ID只保留A包"""
if not HW_DICT_PATH.exists():
print(f" [X] 找不到作业字典: {HW_DICT_PATH}")
return []
data = json.loads(HW_DICT_PATH.read_text(encoding="utf-8"))
items = data.get(course_code, [])
if not items:
print(f" [X] 作业字典中没有 {course_code} 的配置")
return []
# 只保留A包课堂练习
a_items = [item for item in items if item["title"].endswith("A")]
if not a_items:
# 如果没有A包回退到第一个
a_items = [items[0]]
return [{"id": item["id"], "title": item["title"]} for item in a_items]
# ========== 分析逻辑 ==========
def analyze_student_performance(
student_name: str,
all_records: dict[str, list[dict[str, Any]]],
homework_labels: list[str],
problem_list: list[dict[str, str]] | None = None,
) -> dict[str, Any]:
"""分析单个学生的OJ表现
如果提供了 problem_listA包的具体题目列表则按具体题目分析
否则按作业包标签分析(兼容旧逻辑)。
"""
analysis = {
"name": student_name,
"problems": {},
"total_solved": 0,
"total_attempts": 0,
"total_errors": defaultdict(int),
"patterns": [],
}
# 按具体题目分析A包模式
if problem_list:
# 合并所有作业包的记录通常只有A包
all_student_records: list[dict[str, Any]] = []
for label in homework_labels:
records = all_records.get(label, [])
all_student_records.extend([r for r in records if r["student_name"] == student_name])
total_attempts_all = len(all_student_records)
total_solved_all = 0
for prob in problem_list:
prob_id = prob["id"] # 如 CSP0309A1
prob_code = prob["code"]
prob_name = prob["name"]
# 筛选该题目的提交记录(匹配 problem_id
student_records = [r for r in all_student_records if r["problem_id"] == prob_id]
attempts = len(student_records)
solved = any(r["status"] == "AC" for r in student_records)
errors = [r["status"] for r in student_records if r["status"] != "AC"]
# 判定思考模式
if attempts == 0:
pattern = "未提交"
elif attempts == 1 and solved:
pattern = "一气呵成"
elif solved and attempts <= 3:
pattern = "调试改进"
elif solved and attempts <= 6:
pattern = "多次尝试后通过"
elif not solved and attempts >= 3:
pattern = "遇到困难"
elif solved:
pattern = "耐心调试"
else:
pattern = "尝试中"
error_counts = defaultdict(int)
for e in errors:
error_counts[e] += 1
# 用题目名称作为展示标签同时保留原始ID
display_label = f"{prob_code} {prob_name}" if prob_name else prob_code
problem_info = {
"label": display_label,
"raw_label": prob_code,
"attempts": attempts,
"solved": solved,
"pattern": pattern,
"errors": dict(error_counts),
"submit_times": [r.get("submit_time", "") for r in student_records],
}
analysis["problems"][display_label] = problem_info
if solved:
total_solved_all += 1
for e in errors:
analysis["total_errors"][e] += 1
analysis["total_attempts"] = total_attempts_all
analysis["total_solved"] = total_solved_all
analysis["completion"] = f"{total_solved_all}/{len(problem_list)}"
else:
# 兼容旧逻辑:按作业包分析
for label in homework_labels:
records = all_records.get(label, [])
student_records = [r for r in records if r["student_name"] == student_name]
attempts = len(student_records)
solved = any(r["status"] == "AC" for r in student_records)
errors = [r["status"] for r in student_records if r["status"] != "AC"]
if attempts == 0:
pattern = "未提交"
elif attempts == 1 and solved:
pattern = "一气呵成"
elif solved and attempts <= 3:
pattern = "调试改进"
elif solved and attempts <= 6:
pattern = "多次尝试后通过"
elif not solved and attempts >= 3:
pattern = "遇到困难"
elif solved:
pattern = "耐心调试"
else:
pattern = "尝试中"
error_counts = defaultdict(int)
for e in errors:
error_counts[e] += 1
problem_info = {
"label": label,
"attempts": attempts,
"solved": solved,
"pattern": pattern,
"errors": dict(error_counts),
"submit_times": [r.get("submit_time", "") for r in student_records],
}
analysis["problems"][label] = problem_info
analysis["total_attempts"] += attempts
if solved:
analysis["total_solved"] += 1
for e in errors:
analysis["total_errors"][e] += 1
analysis["completion"] = f"{analysis['total_solved']}/{len(homework_labels)}"
analysis["total_errors"] = dict(analysis["total_errors"])
return analysis
def format_oj_section(analysis: dict[str, Any]) -> str:
"""格式化OJ数据为Markdown反馈段落支持A包具体题目模式"""
total_solved = analysis["total_solved"]
total_attempts = analysis["total_attempts"]
problems = analysis["problems"]
total_count = len(problems)
lines = []
lines.append("")
lines.append("## 【OJ做题数据】")
lines.append("")
lines.append(f"**完成情况**: {analysis['completion']} (共{total_attempts}次提交)")
lines.append("")
# 单题详情表
lines.append("| 题目 | 状态 | 提交次数 | 思考模式 | 错误类型 |")
lines.append("|------|------|----------|----------|----------|")
for label, info in problems.items():
icon = "" if info["solved"] else ""
status = "通过" if info["solved"] else "未通过"
attempts = info["attempts"]
pattern = info["pattern"]
error_str = ""
if info["errors"]:
error_parts = [f"{k}×{v}" for k, v in info["errors"].items()]
error_str = ", ".join(error_parts)
else:
error_str = ""
if attempts == 0:
lines.append(f"| {label} | ⬜ 未提交 | 0 | — | — |")
else:
lines.append(f"| {label} | {icon} {status} | {attempts} | {pattern} | {error_str} |")
lines.append("")
# 总结性评价(适配具体题目数量)
if total_solved == total_count and total_count > 0:
if total_attempts <= total_count + 2:
lines.append(f"**📊 分析**: {total_count}题全部完成,且提交效率高,思路清晰,代码质量优秀。")
elif total_attempts <= total_count * 2:
lines.append(f"**📊 分析**: {total_count}题全部完成,经过适度调试后通过,展现了良好的调试能力。")
else:
lines.append(f"**📊 分析**: {total_count}题全部完成,共经过{total_attempts}次提交,展现了不错的耐心和坚持。")
elif total_solved > 0:
unsolved = [l for l, i in problems.items() if not i["solved"] and i["attempts"] > 0]
untried = [l for l, i in problems.items() if i["attempts"] == 0]
parts = []
if unsolved:
parts.append(f"{''.join(unsolved)}有尝试但尚未通过")
if untried:
parts.append(f"{''.join(untried)}未提交")
lines.append(f"**📊 分析**: 完成{total_solved}题,{''.join(parts)},建议课后继续完成。")
else:
if total_attempts > 0:
lines.append("**📊 分析**: 有提交但尚未通过任何题目,建议课后重点跟进。")
else:
lines.append("**📊 分析**: 本节课OJ作业暂无提交记录。")
# 错误分布
if analysis["total_errors"]:
errors = analysis["total_errors"]
error_summary = []
if "WA" in errors:
error_summary.append(f"答案错误{errors['WA']}")
if "CE" in errors:
error_summary.append(f"编译错误{errors['CE']}")
if "RE" in errors:
error_summary.append(f"运行错误{errors['RE']}")
if "TLE" in errors:
error_summary.append(f"超时{errors['TLE']}")
if error_summary:
lines.append(f"**错误分布**: {''.join(error_summary)}")
lines.append("")
return "\n".join(lines)
# ========== 反馈更新 ==========
def update_feedback_file(student_name: str, oj_section: str) -> bool:
"""在已有反馈文件末尾追加OJ数据段"""
feedback_path = CLASS_DIR / student_name / "feedback" / f"{FEEDBACK_DATE}_{COURSE_CODE}.md"
if not feedback_path.exists():
print(f" [跳过] 反馈文件不存在: {feedback_path}")
return False
content = feedback_path.read_text(encoding="utf-8")
# 检查是否已有OJ数据段
if "【OJ做题数据】" in content:
# 替换已有的OJ数据段
pattern = r"\n## 【OJ做题数据】.*?(?=\n## |---\n|\Z)"
content = re.sub(pattern, oj_section.rstrip(), content, flags=re.DOTALL)
print(f" [更新] 替换已有OJ数据段")
else:
# 在 --- 分隔线前插入
if "\n---\n" in content:
content = content.replace("\n---\n", f"{oj_section}\n---\n", 1)
else:
content = content.rstrip() + "\n" + oj_section
print(f" [新增] 追加OJ数据段")
feedback_path.write_text(content, encoding="utf-8")
return True
# ========== 主流程 ==========
def main():
global COURSE_CODE, COURSE_TITLE, CLASS_NAME, FEEDBACK_DATE, ATTENDING_STUDENTS
global USERNAME, PASSWORD, CLASS_DIR
# 解析命令行参数
args = parse_args()
COURSE_CODE = args.course
COURSE_TITLE = args.title
CLASS_NAME = args.class_name
USERNAME = args.username
PASSWORD = args.password
GET_SINGLE_STUDENT = args.get_student_oj.strip()
# 日期处理
if args.date:
FEEDBACK_DATE = args.date
else:
FEEDBACK_DATE = datetime.now().strftime("%Y%m%d")
# 学生名单
if args.students:
ATTENDING_STUDENTS = [s.strip() for s in args.students.split(",") if s.strip()]
elif GET_SINGLE_STUDENT:
# 只获取单个学生的数据
ATTENDING_STUDENTS = [GET_SINGLE_STUDENT]
# 设置班级目录
CLASS_DIR = PROJECT_ROOT / ".claude" / "memory" / "class" / CLASS_NAME
# 如果没有学生名单,尝试从班级目录读取所有学生
if not ATTENDING_STUDENTS:
if CLASS_DIR.exists():
ATTENDING_STUDENTS = [
d.name for d in sorted(CLASS_DIR.iterdir())
if d.is_dir() and d.name != "summaries" and (d / "profile.md").exists()
]
print(f" [自动] 从班级目录读取到 {len(ATTENDING_STUDENTS)} 名学生")
if not ATTENDING_STUDENTS:
print(" [X] 未指定出勤学生且班级目录中无学生,退出")
return 1
# 如果是获取单个学生的OJ数据简化输出
if not GET_SINGLE_STUDENT:
print("=" * 60)
print(f"获取 {COURSE_CODE} {COURSE_TITLE} OJ数据并更新反馈")
print("=" * 60)
# 1. 加载作业ID
print(f"\n[1] 从 hw_dict.json 加载 {COURSE_CODE} 作业ID...")
homeworks = load_homework_ids(COURSE_CODE)
if not homeworks:
print(" [X] 没有找到作业配置,退出")
return 1
for hw in homeworks:
print(f" - {hw['title']}: {hw['id']}")
# 2. 登录OJ
print(f"\n[2] 登录OJ系统...")
client = httpx.Client(base_url=OJ_BASE_URL, timeout=30.0, follow_redirects=True)
if not login(client):
print(" [X] 登录失败,退出")
return 1
# 3. 获取A包的具体题目列表 & 抓取提交记录
print(f"\n[3] 获取A包题目列表并抓取提交记录...")
student_names = set(ATTENDING_STUDENTS)
all_records: dict[str, list[dict[str, Any]]] = {}
homework_labels: list[str] = []
problem_list: list[dict[str, str]] | None = None
for hw in homeworks:
label = hw["title"]
homework_labels.append(label)
# 获取该作业包中的具体题目A包才有
problems = fetch_homework_problems(client, hw["id"])
if problems:
problem_list = problems
print(f" {label} 包含 {len(problems)} 道题目:")
for p in problems:
print(f" - {p['code']}: {p['name']}")
print(f" 正在获取 {label} 提交记录...")
records = fetch_homework_records(client, hw["id"], student_names)
all_records[label] = records
student_count = len({r["student_name"] for r in records})
print(f" 找到 {len(records)} 条记录,涉及 {student_count} 名出勤学生")
client.close()
# 4. 分析每个学生按A包具体题目分析
if not GET_SINGLE_STUDENT:
print(f"\n[4] 分析学生OJ表现...")
analyses: list[dict[str, Any]] = []
for name in ATTENDING_STUDENTS:
analysis = analyze_student_performance(name, all_records, homework_labels, problem_list)
analyses.append(analysis)
if not GET_SINGLE_STUDENT:
total_count = len(analysis["problems"])
icon = "" if analysis["total_solved"] == total_count and total_count > 0 else \
"" if analysis["total_solved"] > 0 else ""
print(f" {icon} {name}: {analysis['completion']} ({analysis['total_attempts']}次提交)")
for label, info in analysis["problems"].items():
p_icon = "" if info["solved"] else "" if info["attempts"] > 0 else ""
print(f" {p_icon} {label}: {info['attempts']}次 ({info['pattern']})")
# 如果是获取单个学生的OJ数据直接输出Markdown并退出
if GET_SINGLE_STUDENT and analyses:
oj_section = format_oj_section(analyses[0])
print(oj_section)
return 0
# 5. 更新反馈文件
print(f"\n[5] 更新反馈文件...")
updated = 0
for analysis in analyses:
name = analysis["name"]
print(f" 处理 {name}...")
oj_section = format_oj_section(analysis)
if update_feedback_file(name, oj_section):
updated += 1
# 6. 保存原始分析数据
print(f"\n[6] 保存分析JSON数据...")
analysis_dir = PROJECT_ROOT / ".claude" / "memory" / "oj" / "analysis"
analysis_dir.mkdir(parents=True, exist_ok=True)
output_file = analysis_dir / f"{COURSE_CODE}_student_analysis.json"
with open(output_file, "w", encoding="utf-8") as f:
json.dump({
"course": COURSE_CODE,
"title": COURSE_TITLE,
"date": f"{FEEDBACK_DATE[:4]}-{FEEDBACK_DATE[4:6]}-{FEEDBACK_DATE[6:8]}",
"class": CLASS_NAME,
"students": analyses,
"generated_at": datetime.now().isoformat(),
}, f, ensure_ascii=False, indent=2)
print(f" 保存到: {output_file}")
# 7. 汇总
print(f"\n" + "=" * 60)
print(f"✅ 完成!")
print(f" - 出勤学生: {len(ATTENDING_STUDENTS)}")
print(f" - 更新反馈: {updated}")
total_solved = sum(a["total_solved"] for a in analyses)
total_possible = len(ATTENDING_STUDENTS) * len(homework_labels)
print(f" - 整体完成率: {total_solved}/{total_possible}")
print("=" * 60)
return 0
if __name__ == "__main__":
sys.exit(main())