"""
主程序入口 - 股吧人气指示器
"""
import sys
import logging
import time
from datetime import datetime
from PySide6.QtWidgets import QApplication
from PySide6.QtCore import QTimer, Signal, QObject

from config_manager import ConfigManager
from database import DatabaseManager
from spider import SpiderManager
from llm_analyzer import LLMAnalyzer
from main_window import MainWindow


class BackendWorker(QObject):
    """后台工作器 - 处理爬取和分析任务"""

    fetch_finished = Signal(list)
    analysis_finished = Signal(float)
    error_occurred = Signal(str)
    status_update = Signal(str)

    def __init__(self, config_manager: ConfigManager, db_manager: DatabaseManager,
                 spider: SpiderManager, analyzer: LLMAnalyzer):
        super().__init__()
        self.config = config_manager
        self.db = db_manager
        self.spider = spider
        self.analyzer = analyzer
        self.running = False
        self.last_fetch_time = 0
        self.fetch_interval = 60  # 默认60秒
        self.no_new_content_count = 0  # 无新内容计数

    def start(self):
        """启动后台任务"""
        self.running = True
        self._run_cycle()

    def stop(self):
        """停止后台任务"""
        self.running = False

    def _run_cycle(self):
        """运行一个周期"""
        if not self.running:
            return

        try:
            # 1. 爬取评论
            self.status_update.emit("正在爬取评论...")
            comments = self.spider.fetch()

            if not comments:
                self.no_new_content_count += 1
                interval = self.fetch_interval * (1 + min(self.no_new_content_count * 0.5, 2))
                self.status_update.emit(f"无新内容，{int(interval)}秒后重试...")
                QTimer.singleShot(int(interval * 1000), self._run_cycle)
                return

            # 2. 写入数据库
            self.status_update.emit(f"获取到 {len(comments)} 条评论...")
            new_ids = self.db.add_comments_batch(comments)

            if new_ids:
                self.no_new_content_count = 0
                self.status_update.emit(f"新增 {len(new_ids)} 条评论")

                # 3. 获取未分析评论并分析
                unanalyzed = self.db.get_unanalyzed_comments(limit=10)

                if unanalyzed:
                    self.status_update.emit(f"开始分析 {len(unanalyzed)} 条评论...")
                    self._analyze_comments(unanalyzed)
            else:
                self.no_new_content_count += 1

            # 4. 更新指示器
            self._update_indicator()

        except Exception as e:
            self.error_occurred.emit(f"运行错误: {str(e)}")

        # 安排下一次执行
        if self.running:
            interval = self.fetch_interval * (1 + min(self.no_new_content_count * 0.5, 2))
            QTimer.singleShot(int(interval * 1000), self._run_cycle)

    def _analyze_comments(self, comments):
        """分析评论"""
        for i, comment in enumerate(comments):
            if not self.running:
                break

            try:
                self.status_update.emit(f"分析 {i+1}/{len(comments)}...")
                score, label = self.analyzer.analyze(comment['content'])

                if score is not None:
                    self.db.mark_analyzed(comment['id'], score, label)
                    time.sleep(1.0)  # 延迟，避免API限流
                else:
                    self.db.mark_analyzed(comment['id'], 50, "无法判断")

            except Exception as e:
                self.error_occurred.emit(f"分析失败: {str(e)}")
                self.db.mark_analyzed(comment['id'], 50, "分析异常")

    def _update_indicator(self):
        """更新指示器显示"""
        scores = self.db.get_all_scores()

        if not scores:
            return

        # 计算平均分
        avg_score = sum(scores) / len(scores)

        # 根据阈值确定标签
        thresholds = self.config.get('ui', 'thresholds', default={'cold': 30, 'warm': 70})
        cold = thresholds.get('cold', 30)
        warm = thresholds.get('warm', 70)

        if avg_score < cold:
            label = "看跌"
        elif avg_score > warm:
            label = "看涨"
        else:
            label = "中性"

        self.analysis_finished.emit(avg_score)

    def manual_refresh(self):
        """手动刷新"""
        self.no_new_content_count = 0
        self._run_cycle()

    def update_fetch_interval(self, interval: int):
        """更新爬取间隔"""
        self.fetch_interval = interval


def setup_logging(log_path: str, level: str = "INFO"):
    """配置日志"""
    logging.basicConfig(
        level=getattr(logging, level.upper(), logging.INFO),
        format='%(asctime)s - %(levelname)s - %(message)s',
        handlers=[
            logging.FileHandler(log_path, encoding='utf-8'),
            logging.StreamHandler()
        ]
    )


def main():
    """主函数"""
    # 创建应用
    app = QApplication(sys.argv)
    app.setQuitOnLastWindowClosed(False)  # 允许最小化到托盘

    # 加载配置
    config = ConfigManager("config.json")

    # 配置日志
    log_config = config.logging_config
    setup_logging(log_config.get('path', 'guba.log'), log_config.get('level', 'INFO'))

    # 初始化组件
    db = DatabaseManager(config.database_config.get('path', 'guba.db'))
    spider = SpiderManager(config.spider_config)
    analyzer = LLMAnalyzer(config.llm_api_config)

    # 创建后台工作器
    worker = BackendWorker(config, db, spider, analyzer)
    worker.update_fetch_interval(config.spider_config.get('fetch_interval', 60))

    # 创建主窗口
    window = MainWindow(config)
    window.show()

    # 连接信号
    worker.status_update.connect(window.update_status)
    worker.analysis_finished.connect(window.update_indicator)
    worker.error_occurred.connect(lambda msg: window.show_message("错误", msg))

    # 设置按钮回调
    window.set_refresh_callback(worker.manual_refresh)
    window.set_config_callback(window.show_config)

    # 启动后台任务
    worker.start()

    # 运行应用
    sys.exit(app.exec())


if __name__ == "__main__":
    main()