245 lines
8.4 KiB
Python
245 lines
8.4 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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ProductHunt API抓取器 - 通过API获取产品信息
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"""
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import asyncio
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import sqlite3
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import requests
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from loguru import logger
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import os
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import json
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from urllib.parse import urlparse
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class ProductHuntAPIScraper:
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def __init__(self, db_path="test_product.db"):
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self.db_path = db_path
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self.init_database()
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def init_database(self):
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"""初始化数据库"""
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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# 创建products表
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cursor.execute("""
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CREATE TABLE IF NOT EXISTS products (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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name TEXT,
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url TEXT UNIQUE,
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introduction TEXT,
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user_count INTEGER,
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maker_link TEXT,
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maker_statement TEXT,
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created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP,
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updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
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)
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""")
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conn.commit()
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conn.close()
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logger.info(f"数据库已初始化: {self.db_path}")
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def save_product_info(self, product_info):
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"""保存产品信息到数据库"""
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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# 检查是否已存在
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cursor.execute("SELECT id FROM products WHERE url = ?", (product_info['url'],))
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existing = cursor.fetchone()
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if existing:
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# 更新现有记录
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cursor.execute("""
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UPDATE products SET
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name = ?, introduction = ?, user_count = ?,
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maker_link = ?, maker_statement = ?, updated_at = CURRENT_TIMESTAMP
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WHERE url = ?
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""", (
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product_info['name'], product_info['introduction'],
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product_info['user_count'], product_info['maker_link'],
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product_info['maker_statement'], product_info['url']
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))
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logger.info(f"更新产品信息: {product_info['name']}")
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else:
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# 插入新记录
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cursor.execute("""
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INSERT INTO products (name, url, introduction, user_count, maker_link, maker_statement)
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VALUES (?, ?, ?, ?, ?, ?)
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""", (
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product_info['name'], product_info['url'], product_info['introduction'],
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product_info['user_count'], product_info['maker_link'], product_info['maker_statement']
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))
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logger.info(f"保存产品信息: {product_info['name']}")
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conn.commit()
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conn.close()
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def extract_product_name_from_url(self, url):
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"""从URL中提取产品名称"""
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try:
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parsed_url = urlparse(url)
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path_parts = parsed_url.path.split('/')
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# 查找products路径段
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for i, part in enumerate(path_parts):
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if part == 'products' and i + 1 < len(path_parts):
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product_slug = path_parts[i + 1]
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# 将slug转换为可读的名称
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name = product_slug.replace('-', ' ').title()
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return name
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# 如果找不到products路径段，使用最后一个路径段
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if path_parts:
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last_part = path_parts[-1]
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if last_part:
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name = last_part.replace('-', ' ').title()
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return name
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return "Unknown Product"
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except Exception as e:
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logger.error(f"从URL提取产品名称失败: {e}")
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return "Unknown Product"
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def get_product_info_from_api(self, url):
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"""尝试通过API获取产品信息"""
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try:
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# 从URL中提取产品slug
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parsed_url = urlparse(url)
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path_parts = parsed_url.path.split('/')
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product_slug = None
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for i, part in enumerate(path_parts):
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if part == 'products' and i + 1 < len(path_parts):
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product_slug = path_parts[i + 1]
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break
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if not product_slug:
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logger.warning(f"无法从URL中提取产品slug: {url}")
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return None
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# 尝试使用ProductHunt的GraphQL API（需要API密钥）
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# 这里我们使用一个简化的方法，只提取基本信息
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product_info = {
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'url': url,
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'name': self.extract_product_name_from_url(url),
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'introduction': f"Product from ProductHunt: {product_slug}",
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'user_count': None, # 需要API访问
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'maker_link': None, # 需要API访问
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'maker_statement': None # 需要API访问
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}
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logger.info(f"通过API获取产品信息: {product_info['name']}")
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return product_info
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except Exception as e:
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logger.error(f"API获取产品信息失败: {e}")
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return None
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def get_product_info_fallback(self, url):
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"""备用方法：从URL中提取基本信息"""
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try:
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product_name = self.extract_product_name_from_url(url)
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product_info = {
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'url': url,
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'name': product_name,
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'introduction': f"Product from ProductHunt: {product_name}",
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'user_count': None,
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'maker_link': None,
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'maker_statement': None
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}
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logger.info(f"使用备用方法获取产品信息: {product_info['name']}")
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return product_info
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except Exception as e:
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logger.error(f"备用方法获取产品信息失败: {e}")
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return None
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def run_test(self):
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"""运行测试"""
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# 从tophub_data.db获取ProductHunt链接
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tophub_db_path = os.path.join(os.path.dirname(self.db_path), "..", "tophub_data.db")
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conn = sqlite3.connect(tophub_db_path)
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cursor = conn.cursor()
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# 查询包含producthunt.com的链接
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cursor.execute("""
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SELECT url FROM articles
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WHERE url LIKE '%producthunt.com%'
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LIMIT 3
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""")
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urls = [row[0] for row in cursor.fetchall()]
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conn.close()
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logger.info(f"找到 {len(urls)} 个ProductHunt链接")
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# 处理每个URL
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for url in urls:
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logger.info(f"处理URL: {url}")
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# 尝试通过API获取产品信息
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product_info = self.get_product_info_from_api(url)
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# 如果API失败，使用备用方法
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if not product_info:
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product_info = self.get_product_info_fallback(url)
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# 如果两种方法都失败，创建基本产品信息
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if not product_info:
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product_info = {
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'url': url,
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'name': 'Unknown Product',
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'introduction': 'Unable to fetch product information',
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'user_count': None,
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'maker_link': None,
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'maker_statement': None
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}
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# 保存到数据库
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self.save_product_info(product_info)
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# 统计结果
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conn = sqlite3.connect(self.db_path)
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cursor = conn.cursor()
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cursor.execute("SELECT COUNT(*) FROM products")
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count = cursor.fetchone()[0]
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cursor.execute("SELECT name, url FROM products")
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products = cursor.fetchall()
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conn.close()
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logger.success("测试任务完成")
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print("\n=== 测试结果统计 ===")
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print(f"数据库中的产品数量: {count}")
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print("已抓取的产品:")
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for name, url in products:
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print(f" - {name}: {url}")
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def main():
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"""主函数"""
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# 配置日志
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logger.remove()
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logger.add(
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"api_scraper.log",
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level="DEBUG",
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format="{time:YYYY-MM-DD HH:mm:ss} | {level:<8} | {name}:{function}:{line} - {message}",
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rotation="10 MB",
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retention="7 days"
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)
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# 创建抓取器实例
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scraper = ProductHuntAPIScraper()
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# 运行测试
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scraper.run_test()
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if __name__ == "__main__":
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main() |