Agent/examples/content_finder/tools/crawler.py

"""
爬虫工具 - 集成抖音、快手等平台的爬虫能力
"""

from typing import List, Dict, Any, Optional
from datetime import datetime
from agent.tools import tool, ToolResult, ToolContext


@tool(description="从抖音搜索视频内容")
async def douyin_search(
    keywords: str,
    max_results: int = 20,
    min_views: Optional[int] = None,
    min_likes: Optional[int] = None,
    ctx: ToolContext = None,
) -> ToolResult:
    """
    从抖音搜索视频内容

    Args:
        keywords: 搜索关键词
        max_results: 最大结果数
        min_views: 最小播放量
        min_likes: 最小点赞数
        ctx: 工具上下文
    """
    # 伪代码：实际实现需要调用抖音爬虫API
    results = await _call_douyin_crawler(
        keywords=keywords,
        max_results=max_results,
        min_views=min_views,
        min_likes=min_likes,
    )

    return ToolResult(
        title=f"抖音搜索结果",
        output=f"找到 {len(results)} 条内容",
        data={"items": results},
    )


@tool(description="从快手搜索视频内容")
async def kuaishou_search(
    keywords: str,
    max_results: int = 20,
    min_views: Optional[int] = None,
    min_likes: Optional[int] = None,
    ctx: ToolContext = None,
) -> ToolResult:
    """
    从快手搜索视频内容

    Args:
        keywords: 搜索关键词
        max_results: 最大结果数
        min_views: 最小播放量
        min_likes: 最小点赞数
        ctx: 工具上下文
    """
    # 伪代码：实际实现需要调用快手爬虫API
    results = await _call_kuaishou_crawler(
        keywords=keywords,
        max_results=max_results,
        min_views=min_views,
        min_likes=min_likes,
    )

    return ToolResult(
        title=f"快手搜索结果",
        output=f"找到 {len(results)} 条内容",
        data={"items": results},
    )


# ===== 爬虫实现（伪代码）=====

async def _call_douyin_crawler(
    keywords: str,
    max_results: int,
    min_views: Optional[int],
    min_likes: Optional[int],
) -> List[Dict[str, Any]]:
    """
    调用抖音爬虫

    实际实现需要：
    1. 调用抖音API或爬虫服务
    2. 解析返回数据
    3. 应用筛选条件
    4. 格式化为标准ContentItem格式
    """
    # 伪代码示例
    results = [
        {
            "content_id": "dy_123456",
            "platform": "douyin",
            "title": "示例视频标题",
            "author": "作者名",
            "url": "https://douyin.com/video/123456",
            "cover_url": "https://douyin.com/cover/123456.jpg",
            "description": "视频描述",
            "stats": {
                "views": 100000,
                "likes": 5000,
                "comments": 200,
                "shares": 300,
            },
            "tags": ["标签1", "标签2"],
            "publish_time": datetime.now().isoformat(),
        }
    ]
    return results


async def _call_kuaishou_crawler(
    keywords: str,
    max_results: int,
    min_views: Optional[int],
    min_likes: Optional[int],
) -> List[Dict[str, Any]]:
    """
    调用快手爬虫

    实际实现需要：
    1. 调用快手API或爬虫服务
    2. 解析返回数据
    3. 应用筛选条件
    4. 格式化为标准ContentItem格式
    """
    # 伪代码示例
    results = [
        {
            "content_id": "ks_789012",
            "platform": "kuaishou",
            "title": "示例视频标题",
            "author": "作者名",
            "url": "https://kuaishou.com/video/789012",
            "cover_url": "https://kuaishou.com/cover/789012.jpg",
            "description": "视频描述",
            "stats": {
                "views": 80000,
                "likes": 4000,
                "comments": 150,
                "shares": 250,
            },
            "tags": ["标签1", "标签2"],
            "publish_time": datetime.now().isoformat(),
        }
    ]
    return results