"""
浏览器爬虫 - 用于处理JS渲染的页面
"""

import asyncio
import json
from typing import Dict, List, Any, Optional
from crawler.base import BaseSpider
import logging

logger = logging.getLogger(__name__)


class BrowserSpider(BaseSpider):
    """浏览器爬虫（使用Playwright）"""
    
    name = "browser"
    
    def __init__(self, config: Dict = None):
        super().__init__(config)
        self.browser = None
        self.context = None
        self.page = None
        self._playwright = None
    
    async def init_browser(self):
        """初始化浏览器"""
        try:
            from playwright.async_api import async_playwright
            
            self._playwright = await async_playwright().start()
            self.browser = await self._playwright.chromium.launch(
                headless=self.config.get("headless", True)
            )
            self.context = await self.browser.new_context(
                user_agent=self.config.get("user_agent", "")
            )
            self.page = await self.context.new_page()
            logger.info("浏览器初始化成功")
            
        except ImportError:
            raise RuntimeError("请安装 playwright: pip install playwright && playwright install chromium")
    
    async def close_browser(self):
        """关闭浏览器"""
        if self.page:
            await self.page.close()
        if self.context:
            await self.context.close()
        if self.browser:
            await self.browser.close()
        if self._playwright:
            await self._playwright.stop()
        logger.info("浏览器已关闭")
    
    async def fetch_page(self, url: str, wait_for: str = None, timeout: int = 30000) -> str:
        """
        获取页面内容
        
        Args:
            url: 页面URL
            wait_for: 等待元素选择器
            timeout: 超时时间（毫秒）
        
        Returns:
            页面HTML
        """
        if not self.page:
            await self.init_browser()
        
        logger.info(f"访问页面: {url}")
        
        try:
            await self.page.goto(url, timeout=timeout)
            
            if wait_for:
                await self.page.wait_for_selector(wait_for, timeout=timeout)
            
            # 等待页面稳定
            await self.page.wait_for_load_state("networkidle", timeout=timeout)
            
            html = await self.page.content()
            return html
            
        except Exception as e:
            logger.error(f"获取页面失败: {e}")
            return ""
    
    async def extract_data(self, html: str, parse_config: Dict) -> List[Dict]:
        """
        根据配置提取数据
        
        Args:
            html: 页面HTML
            parse_config: 解析配置
        
        Returns:
            提取的数据列表
        """
        results = []
        soup = self.parse_html(html)
        
        selector = parse_config.get("selector")
        if not selector:
            return results
        
        elements = self.css_select(soup, selector)
        extract_rules = parse_config.get("extract", {})
        
        for elem in elements:
            item = {}
            for field, rule in extract_rules.items():
                if rule.startswith("."):
                    # CSS选择器
                    sub_elem = elem.select_one(rule.split("::")[0])
                    if "::text" in rule:
                        item[field] = self.extract_text(sub_elem)
                    else:
                        item[field] = self.extract_text(sub_elem)
                elif rule == "text":
                    item[field] = self.extract_text(elem)
                elif rule == "href":
                    item[field] = self.extract_attr(elem, "href")
                elif rule == "src":
                    item[field] = self.extract_attr(elem, "src")
                else:
                    item[field] = self.extract_attr(elem, rule)
            
            if item:
                results.append(item)
        
        return results
    
    async def run_steps(self, steps: List[Dict], start_url: str = None) -> List[Dict]:
        """
        执行多步骤爬取
        
        Args:
            steps: 步骤配置列表
            start_url: 起始URL
        
        Returns:
            最终结果
        """
        all_results = []
        previous_data = []
        
        for i, step in enumerate(steps):
            step_name = step.get("name", f"步骤{i+1}")
            logger.info(f"执行步骤: {step_name}")
            
            # 获取URL
            if i == 0:
                url = step.get("url", start_url)
            else:
                # 从上一步结果获取URL
                url_template = step.get("url_from", "")
                if url_template == "previous.url":
                    urls = [item.get("url", "") for item in previous_data if item.get("url")]
                else:
                    urls = [url_template]
            
            urls = urls if isinstance(urls, list) else [urls]
            
            step_results = []
            for url in urls:
                if not url:
                    continue
                
                # 完整URL处理
                if url.startswith("/"):
                    base_url = step.get("url", start_url)
                    from urllib.parse import urljoin
                    url = urljoin(base_url, url)
                
                # 获取页面
                html = await self.fetch_page(
                    url=url,
                    wait_for=step.get("wait_for"),
                    timeout=step.get("timeout", 30000)
                )
                
                if not html:
                    continue
                
                # 解析数据
                parse_config = step.get("parse", {})
                if parse_config:
                    data = await self.extract_data(html, parse_config)
                    
                    # 合并URL信息
                    for item in data:
                        if "url" not in item:
                            item["source_url"] = url
                    
                    step_results.extend(data)
            
            previous_data = step_results
            all_results = step_results if i == len(steps) - 1 else []
        
        return all_results