衍生相关 pika+mongo
很多平台不提供完整的数据展示, 翻页只能翻几页,不过提供相关推荐等方法可获取更多的数据;
使用 rabbitmq 是因为数据量可能有几十上百万, 且能持久化
mongo对于数据并不实时的更新到查询里
def main():# mongodb# client = MongoClient('localhost', 27017)client = MongoClient("mongodb://localhost:27017")db = client['renrendoc']# 保存衍生过的 collection_derive = db['doc_derive']# 待衍生 (用于去重)collection_stack = db['doc_stack']# rabbitmqcredentials = pika.PlainCredentials('guest', 'guest')parameters = pika.ConnectionParameters('localhost', 5672, '/', credentials)connection = pika.BlockingConnection(parameters)channel = connection.channel()queue_name = '123456789' # 队列名称channel.queue_declare(queue=queue_name, durable=True) # 声明一个队列, durable=True表示队列持久化# 初始队列, 保证存在一个符合的doc = {'doc_id': queue_name,'title': '标题名称',}channel.basic_publish(exchange='', routing_key=queue_name, body=json.dumps(doc))while True:try:# 出队method_frame, header_frame, body = channel.basic_get(queue=queue_name, auto_ack=True)if not body:logger.success("no more doc_id to derive, it's over! ")breakdoc = json.loads(body)doc_id = doc['doc_id']if collection_derive.find_one({'doc_id': doc_id}):logger.debug(f'文档已衍生过, doc_id: {doc_id}')continue# 检查判断是否符合需求if check_title(doc['title']) != 1:logger.warning(f'文档不符合需求 title: {doc["title"]}')continuequeue_state = channel.queue_declare(queue=queue_name, passive=True)logger.info(f'开始衍生 {doc["title"]} , 剩余待处理: {queue_state.method.message_count}')# 衍生文档doc_derive = derive_docs(doc_id)# detail 入库collection_derive.insert_one(doc_derive['doc_detail'])# 总获取衍生的文档all_derive_docs = doc_derive['recommend_docs'] + doc_derive['similar_docs']count = 0for doc in all_derive_docs:if collection_stack.find({'doc_id': doc['doc_id']}):count += 1continuejson_doc = json.dumps(doc)collection_stack.insert_one(doc)channel.basic_publish(exchange='', routing_key=queue_name, body=json_doc, properties=pika.BasicProperties(delivery_mode=2, # 消息持久化, 避免重启服务丢失消息))logger.success(f'衍生文档完成 doc_id: {doc_id}, title: {doc_derive['doc_detail']['title']}, 衍生文档数量: {len(all_derive_docs) - count}')except Exception as e:logger.exception(f'衍生失败: {e}')except KeyboardInterrupt:logger.warning('程序被强行终止! KeyboardInterrupt')break# 释放资源client.close()connection.close()
def derive_docs(doc_id):"""无限衍生文档:param doc_id::return:"""# 1. 获取文档详情doc_detail = request_doc(doc_id)agg_id = doc_detail['agg_id']# 2. 获取相似文档similar_docs = request_similar_docs(agg_id)# 3. 使用相似文档获取推荐文档total_recommend_docs = []with ThreadPoolExecutor(max_workers=10) as executor:for doc in similar_docs:time.sleep(.1)executor.submit(request_recommend_docs, doc['doc_id'], agg_id).add_done_callback(lambda x: total_recommend_docs.extend(x.result()))# for doc in similar_docs:# recommend_docs = request_recommend_docs(doc['doc_id'], agg_id)# total_recommend_docs.extend(recommend_docs)# 根据doc_id去重,recommend_docs = list({doc['doc_id']: doc for doc in total_recommend_docs}.values())return {'doc_detail': doc_detail,'recommend_docs': recommend_docs,'similar_docs': similar_docs,}
余下函数详细实现不提供
直到队列清空抓取完成