"""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']} 条")
        print(f"  拒绝(无笑点): {self.stats['rejected']} 条")
        print(f"  润色: {self.stats['polished']} 条")
        print(f"  评价分类: {self.stats['evaluated']} 条")
        print(f"  跳过(失败): {self.stats['skipped']} 条")
        print(f"{'='*40}")