fix: resolve 10 code review issues

High priority:
- Fix concurrent race condition for view_count/like_count (atomic update)
- Add route request ID tracking to prevent race conditions
- Filter get_joke by status=approved (no pending content leak)
- Add error feedback for like button

Performance:
- Optimize random joke query (avoid full table sort)
- Limit page_size max to 100 (DoS prevention)

Medium:
- Add localStorage quota error handling
- Handle empty AI response gracefully
- Fix generate content title extraction

Low:
- Add rejected_jokes to stats API
- Update dashboard to show rejected count
This commit is contained in:
bwstudio
2026-06-02 20:35:08 +08:00
parent 0b43973236
commit ceed63fcb0
144 changed files with 191660 additions and 270 deletions
+341
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"""笑话优化核心逻辑:质量检测 → AI 润色 → 评价分类。"""
import hashlib
import json
import sys
import time
import httpx
from openai import OpenAI
from optimizer.prompts import (
QUALITY_CHECK_SYSTEM_PROMPT,
QUALITY_CHECK_USER_PROMPT,
POLISH_SYSTEM_PROMPT,
POLISH_USER_PROMPT,
EVALUATE_SYSTEM_PROMPT,
EVALUATE_USER_PROMPT,
)
class Optimizer:
def __init__(self, api_base: str, username: str, password: str):
self.api_base = api_base.rstrip("/")
self.username = username
self.password = password
self.token = None
self.ai_client = None
self.model_name = ""
self.types = []
self.crowds = []
# 统计
self.stats = {"checked": 0, "rejected": 0, "polished": 0, "evaluated": 0, "skipped": 0}
# === API 认证 ===
def _login(self) -> str:
resp = httpx.post(
f"{self.api_base}/api/auth/login",
json={"username": self.username, "password": self.password},
timeout=30,
)
resp.raise_for_status()
return resp.json()["access_token"]
def _get(self, path: str) -> dict | list:
resp = httpx.get(
f"{self.api_base}{path}",
headers={"Authorization": f"Bearer {self.token}"},
timeout=30,
)
resp.raise_for_status()
return resp.json()
def _put(self, path: str, data: dict) -> dict:
resp = httpx.put(
f"{self.api_base}{path}",
json=data,
headers={"Authorization": f"Bearer {self.token}"},
timeout=30,
)
resp.raise_for_status()
return resp.json()
# === 初始化 ===
def setup(self):
print("[*] 正在登录...")
self.token = self._login()
print("[*] 登录成功")
ai_config = self._get("/api/admin/settings/active")
self.ai_client = OpenAI(
base_url=ai_config["api_base"],
api_key=ai_config["api_key"],
)
self.model_name = ai_config["model_name"]
print(f"[*] AI 模型: {self.model_name}")
self.types = self._get("/api/categories/types")
self.crowds = self._get("/api/categories/crowds")
print(f"[*] 分类: {len(self.types)} 种类型, {len(self.crowds)} 种人群")
# === 读取笑话 ===
def get_jokes(self, status: str | None = None, limit: int | None = None,
ids: list[int] | None = None) -> list[dict]:
"""从 API 分页读取笑话"""
if ids:
jokes = []
for jid in ids:
try:
j = self._get(f"/api/admin/jokes/{jid}")
jokes.append(j)
except Exception as e:
print(f" [!] 获取笑话 #{jid} 失败: {e}")
return jokes
page = 1
page_size = 100
all_jokes = []
while True:
try:
path = f"/api/admin/jokes?page={page}&page_size={page_size}"
if status:
path += f"&status={status}"
data = self._get(path)
items = data.get("items", [])
if not items:
break
all_jokes.extend(items)
print(f" [*] 已读取 {len(all_jokes)} 条...")
if limit and len(all_jokes) >= limit:
all_jokes = all_jokes[:limit]
break
page += 1
except Exception as e:
print(f" [!] 分页读取失败 (page={page}): {e}")
break
return all_jokes
# === Stage 1: 质量检测 ===
def quality_check(self, content: str) -> dict:
"""判断笑话是否有笑点,返回 {"has_punchline": bool, "reason": str}"""
resp = self.ai_client.chat.completions.create(
model=self.model_name,
messages=[
{"role": "system", "content": QUALITY_CHECK_SYSTEM_PROMPT},
{"role": "user", "content": QUALITY_CHECK_USER_PROMPT.format(content=content[:2000])},
],
temperature=0.3,
max_tokens=200,
)
raw = resp.choices[0].message.content.strip()
return self._parse_json(raw, {"has_punchline": True, "reason": ""})
# === Stage 2: AI 润色 ===
def polish(self, content: str) -> str:
"""润色笑话内容"""
resp = self.ai_client.chat.completions.create(
model=self.model_name,
messages=[
{"role": "system", "content": POLISH_SYSTEM_PROMPT},
{"role": "user", "content": POLISH_USER_PROMPT.format(content=content)},
],
temperature=0.8,
max_tokens=1024,
)
return resp.choices[0].message.content.strip()
# === Stage 3: 评价分类 ===
def evaluate(self, content: str) -> dict:
"""评价并分类,返回 {"types": [...], "crowds": [...], "score": int, "comment": str}"""
type_names = [t.get("name", "") for t in self.types]
crowd_names = [c.get("name", "") for c in self.crowds]
resp = self.ai_client.chat.completions.create(
model=self.model_name,
messages=[
{"role": "system", "content": EVALUATE_SYSTEM_PROMPT},
{"role": "user", "content": EVALUATE_USER_PROMPT.format(
content=content[:2000],
known_types=", ".join(type_names),
known_crowds=", ".join(crowd_names),
)},
],
temperature=0.3,
max_tokens=300,
)
raw = resp.choices[0].message.content.strip()
result = self._parse_json(raw, {"types": [], "crowds": [], "score": 5, "comment": ""})
# Backward compatibility: if LLM returns old single format, convert to array
if isinstance(result.get("types"), str):
result["types"] = [result["types"]] if result["types"] else []
if isinstance(result.get("crowds"), str):
result["crowds"] = [result["crowds"]] if result["crowds"] else []
return result
# === 辅助方法 ===
def _parse_json(self, raw: str, default: dict) -> dict:
"""安全解析 LLM 返回的 JSON"""
try:
data = json.loads(raw)
if isinstance(data, dict):
return data
return default
except json.JSONDecodeError:
if "```json" in raw:
raw = raw.split("```json")[1].split("```")[0]
elif "```" in raw:
raw = raw.split("```")[1].split("```")[0]
try:
return json.loads(raw.strip())
except Exception:
return default
def _get_type_id(self, type_name: str) -> int | None:
for t in self.types:
if t.get("name") == type_name:
return t.get("id")
return None
def _get_crowd_id(self, crowd_name: str) -> int | None:
for c in self.crowds:
if c.get("name") == crowd_name:
return c.get("id")
return None
# === 单条笑话处理(3 阶段) ===
def process_joke(self, joke: dict) -> bool:
"""处理单条笑话:质量检测 → 润色 → 评价分类,返回是否成功"""
joke_id = joke.get("id")
title = joke.get("title", "")
content = joke.get("content", "")
if not content:
print(f" [!] #{joke_id} 内容为空,跳过")
self.stats["skipped"] += 1
return False
print(f"\n {'='*40}")
print(f" 处理 #{joke_id}: {title[:30]}")
print(f" {'='*40}")
# Stage 1: 质量检测
print(f" [1/3] 质量检测...")
try:
check = self.quality_check(content)
if not check.get("has_punchline", True):
reason = check.get("reason", "无笑点")
print(f" [!] 无笑点: {reason}")
# 标记为 rejected
self._put(f"/api/admin/jokes/{joke_id}", {"status": "rejected"})
self.stats["rejected"] += 1
self.stats["checked"] += 1
return True # 处理完成(已拒绝)
print(f" [OK] 有笑点: {check.get('reason', '')}")
except Exception as e:
print(f" [!] 质量检测失败: {e},跳过本条")
self.stats["skipped"] += 1
return False
self.stats["checked"] += 1
# Stage 2: AI 润色
print(f" [2/3] AI 润色...")
try:
polished = self.polish(content)
if polished and polished != content:
print(f" [OK] 润色完成 ({len(content)} -> {len(polished)} 字)")
else:
print(f" [*] 润色后无变化")
except Exception as e:
print(f" [!] 润色失败: {e}")
polished = content # 润色失败时使用原文
# Stage 3: 评价分类
print(f" [3/3] 评价分类...")
try:
eval_result = self.evaluate(polished)
type_names = eval_result.get("types", [])
crowd_names = eval_result.get("crowds", [])
score = eval_result.get("score", 5)
print(f" [OK] 类型={type_names}, 人群={crowd_names}, 评分={score}/10")
except Exception as e:
print(f" [!] 评价分类失败: {e}")
type_names = []
crowd_names = []
score = None
# 保存更新
try:
update = {
"polished_content": polished,
"status": "approved" if (score or 5) >= 4 else "pending",
}
if type_names:
update["type_ids"] = []
for n in type_names:
tid = self._get_type_id(n)
if tid:
update["type_ids"].append(tid)
if not update["type_ids"]:
del update["type_ids"]
if crowd_names:
update["crowd_ids"] = []
for n in crowd_names:
cid = self._get_crowd_id(n)
if cid:
update["crowd_ids"].append(cid)
if not update["crowd_ids"]:
del update["crowd_ids"]
self._put(f"/api/admin/jokes/{joke_id}", update)
self.stats["polished"] += 1
self.stats["evaluated"] += 1
print(f" [OK] 更新成功")
return True
except Exception as e:
print(f" [!] 更新失败: {e}")
return False
# === 主循环 ===
def run(self, status: str | None = None, limit: int | None = None,
ids: list[int] | None = None):
"""主入口:读取笑话并逐个处理"""
print(f"\n>> 笑话优化模式启动")
print(f" 筛选状态: {status or '全部'}")
if limit:
print(f" 处理数量: {limit}")
if ids:
print(f" 指定 ID: {ids}")
self.setup()
jokes = self.get_jokes(status, limit, ids)
print(f"\n[*] 共读取 {len(jokes)} 条笑话,开始处理")
for idx, joke in enumerate(jokes):
print(f"\n --- 进度 {idx+1}/{len(jokes)} ---")
try:
self.process_joke(joke)
except KeyboardInterrupt:
print("\n用户中断")
break
except Exception as e:
print(f" [!] 处理异常: {e}")
self.stats["skipped"] += 1
# 每条间稍等,避免 API 限流
if idx < len(jokes) - 1:
time.sleep(1)
# 输出统计
print(f"\n{'='*40}")
print(f" 处理完成")
print(f" {'='*40}")
print(f" 检查: {self.stats['checked']}")
print(f" 拒绝(无笑点): {self.stats['rejected']}")
print(f" 润色: {self.stats['polished']}")
print(f" 评价分类: {self.stats['evaluated']}")
print(f" 跳过(失败): {self.stats['skipped']}")
print(f"{'='*40}")