piaoquan_crawler/common/public.py

# -*- coding: utf-8 -*-
# @Author: wangkun
# @Time: 2023/3/27
import requests
from mq_http_sdk.mq_client import *
from mq_http_sdk.mq_exception import MQExceptionBase
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import cosine_similarity
import os, sys, jieba
import time
import random
import difflib
sys.path.append(os.getcwd())
from common.common import Common
from common.feishu import Feishu
from common.scheduling_db import MysqlHelper
# from common import Common
# from feishu import Feishu
# from scheduling_db import MysqlHelper


def get_user_from_mysql(log_type, crawler, source, env, action=''):
    sql = f"select * from crawler_user_v3 where source='{source}' and mode='{log_type}'"
    results = MysqlHelper.get_values(log_type, crawler, sql, env, action=action)
    if results:
        return results
    else:
        Common.logger(log_type, crawler).warning(f"爬虫:{crawler},没有查到抓取名单")
        return []

def similarity(title1, title2):
    # 分词
    seg1 = jieba.lcut(title1)
    seg2 = jieba.lcut(title2)

    # 构建TF-IDF向量
    tfidf_vectorizer = TfidfVectorizer()
    tfidf_matrix = tfidf_vectorizer.fit_transform(["".join(seg1), "".join(seg2)])

    # 计算余弦相似度
    similar = cosine_similarity(tfidf_matrix[0], tfidf_matrix[1])[0][0]
    return similar

def title_like(log_type, crawler, platform, title, env):
    """
    标题相似度
    :param log_type: 日志
    :param crawler: 哪款爬虫
    :param platform: 爬虫渠道，如：公众号 / 小年糕
    :param title: 视频标题
    :param env: 环境
    :return: 相似度>=80%，返回 True；反之，返回 False
    """
    select_sql = f""" select video_title from crawler_video where platform="{platform}" """
    video_list = MysqlHelper.get_values(log_type, crawler, select_sql, env, action="")
    # print(video_list)
    if len(video_list) == 0:
        return False
    for video_dict in video_list:
        video_title = video_dict["video_title"]
        # print(video_title)
        if difflib.SequenceMatcher(None, title, video_title).quick_ratio() >= 0.8:
            return True
        else:
            continue
    return False


def get_config_from_mysql(log_type, source, env, text, action=''):
    select_sql = f"""select * from crawler_config where source="{source}" """
    contents = MysqlHelper.get_values(log_type, source, select_sql, env, action=action)
    title_list = []
    filter_list = []
    emoji_list = []
    search_word_list = []
    for content in contents:
        config = content['config']
        config_dict = eval(config)
        for k, v in config_dict.items():
            if k == "title":
                title_list_config = v.split(",")
                for title in title_list_config:
                    title_list.append(title)
            if k == "filter":
                filter_list_config = v.split(",")
                for filter_word in filter_list_config:
                    filter_list.append(filter_word)
            if k == "emoji":
                emoji_list_config = v.split(",")
                for emoji in emoji_list_config:
                    emoji_list.append(emoji)
            if k == "search_word":
                search_word_list_config = v.split(",")
                for search_word in search_word_list_config:
                    search_word_list.append(search_word)
    if text == "title":
        return title_list
    elif text == "filter":
        return filter_list
    elif text == "emoji":
        return emoji_list
    elif text == "search_word":
        return search_word_list


def random_title(log_type, crawler, env, text):
    random_title_list = get_config_from_mysql(log_type, crawler, env, text)
    return random.choice(random_title_list)


def task_fun(task_str):
    task_str = task_str.replace("'[", '[').replace("]'", ']')
    task_dict = dict(eval(task_str))
    rule = task_dict['rule']
    task_dict['rule'] = dict()
    for item in rule:
        for k, val in item.items():
            task_dict['rule'][k] = val
    rule_dict = task_dict['rule']
    task_dict = {
        "task_dict": task_dict,
        "rule_dict": rule_dict
    }
    return task_dict


def task_fun_mq(task_str):
    task_str = task_str.replace('"[', '[').replace(']"', ']').replace('\\', '')
    task_dict = dict(eval(task_str))
    rule = task_dict['rule']
    task_dict['rule'] = dict()
    for item in rule:
        for k, val in item.items():
            task_dict['rule'][k] = val
    rule_dict = task_dict['rule']
    task_dict = {
        "task_dict": task_dict,
        "rule_dict": rule_dict
    }
    return task_dict


def get_consumer(topic_name, group_id):
    # 初始化client。
    mq_client = MQClient(
        # 设置HTTP协议客户端接入点，进入云消息队列 RocketMQ 版控制台实例详情页面的接入点区域查看。
        "http://1894469520484605.mqrest.cn-qingdao-public.aliyuncs.com",
        # AccessKey ID，阿里云身份验证标识。获取方式，请参见创建AccessKey。
        "LTAI4G7puhXtLyHzHQpD6H7A",
        # AccessKey Secret，阿里云身份验证密钥。获取方式，请参见创建AccessKey。
        "nEbq3xWNQd1qLpdy2u71qFweHkZjSG"
    )
    # 消息所属的Topic，在云消息队列 RocketMQ 版控制台创建。
    # topic_name = "${TOPIC}"
    topic_name = str(topic_name)
    # 您在云消息队列 RocketMQ 版控制台创建的Group ID。
    # group_id = "${GROUP_ID}"
    group_id = str(group_id)
    # Topic所属的实例ID，在云消息队列 RocketMQ 版控制台创建。
    # 若实例有命名空间，则实例ID必须传入；若实例无命名空间，则实例ID传入空字符串。实例的命名空间可以在云消息队列 RocketMQ 版控制台的实例详情页面查看。
    instance_id = "MQ_INST_1894469520484605_BXhXuzkZ"

    consumer = mq_client.get_consumer(instance_id, topic_name, group_id)
    return consumer


def ack_message(log_type, crawler, recv_msgs, consumer):
    # msg.next_consume_time前若不确认消息消费成功，则消息会被重复消费。
    # 消息句柄有时间戳，同一条消息每次消费拿到的都不一样。
    try:
        receipt_handle_list = [msg.receipt_handle for msg in recv_msgs]
        consumer.ack_message(receipt_handle_list)
        Common.logger(log_type, crawler).info(f"Ack {len(receipt_handle_list)} Message Succeed.\n")
    except MQExceptionBase as err:
        Common.logger(log_type, crawler).info(f"Ack Message Fail! Exception:{err}\n")


def download_rule(log_type, crawler, video_dict, rule_dict):
    """
    下载视频的基本规则
    :param log_type: 日志
    :param crawler: 哪款爬虫
    :param video_dict: 视频信息，字典格式
    :param rule_dict: 规则信息，字典格式
    :return: 满足规则，返回 True；反之，返回 False
    """
    # 格式化 video_dict:publish_time_stamp
    if "publish_time_stamp" in video_dict.keys():
        video_dict["publish_time"] = video_dict["publish_time_stamp"] * 1000
    # 格式化 video_dict:period
    if "period" not in video_dict.keys() and "publish_time" in video_dict.keys():
        video_dict["period"] = int((int(time.time() * 1000) - video_dict["publish_time"]) / (3600 * 24 * 1000))
    # 格式化 rule_dict 最大值取值为 0 的问题
    for rule_value in rule_dict.values():
        if rule_value["max"] == 0:
            rule_value["max"] = 999999999999999
    # 格式化 rule_dict 有的 key，video_dict 中没有的问题
    for rule_key in rule_dict.keys():
        if rule_key not in video_dict.keys():
            video_dict[rule_key] = int(rule_dict[rule_key]["max"] / 2)
    # 比较结果，输出：True / False
    for video_key, video_value in video_dict.items():
        for rule_key, rule_value in rule_dict.items():
            if video_key == rule_key == "period":
                result = 0 <= int(video_value) <= int(rule_value["max"])
                Common.logger(log_type, crawler).info(f'{video_key}: 0 <= {video_value} <= {rule_value["min"]}, {result}')
            elif video_key == rule_key:
                result = int(rule_value["min"]) <= int(video_value) <= int(rule_value["max"])
                Common.logger(log_type, crawler).info(f'{video_key}: {rule_value["min"]} <= {video_value} <= {rule_value["max"]}，{result}')
            else:
                result = True

            if result is False:
                return False
            else:
                continue
    return True


def get_word_score(log_type, crawler, score_sheet, word):
    while True:
        score_sheet = Feishu.get_values_batch(log_type, crawler, score_sheet)
        if score_sheet is None:
            time.sleep(1)
            continue
        for i in range(1, len(score_sheet)):
            if word not in [y for x in score_sheet for y in x]:
                return 0
            if word == score_sheet[i][0]:
                word_score = score_sheet[i][8]
                return word_score


def get_title_score(log_type, crawler, stop_sheet, score_sheet, title):
    # 获取停用词列表
    # while True:
    stop_word_list = []
    stop_word_sheet = Feishu.get_values_batch(log_type, crawler, stop_sheet)
    if stop_word_sheet is None:
        return 0
        # time.sleep(1)
        # continue
    for x in stop_word_sheet:
        for y in x:
            if y is None:
                pass
            else:
                stop_word_list.append(y)
        # break

    # 文本分词
    cut_word_list = []
    cut_list = jieba.lcut(title)
    for cut_item in cut_list:
        if cut_item == " ":
            continue
        if cut_item in stop_word_list:
            continue
        cut_word_list.append(cut_item)

    # 获取权重分列表
    score_list = []
    for word in cut_word_list:
        word_score = get_word_score(log_type, crawler, score_sheet, word)
        score_list.append(word_score)

    # 获取标题的权重总分
    title_score = sum(score_list)
    return title_score


def task_unbind(log_type, crawler, taskid, uids, env):
    if env == "dev":
        url = "https://testadmin.piaoquantv.com/manager/crawler/v3/task/unbind"
    else:
        url = "https://admin.piaoquantv.com/manager/crawler/v3/task/unbind"

    params = {
        "taskId": taskid,  # 任务 ID
        "uids": uids,  # 解绑用户uid（多个英文逗号隔开）,例如"3222121,213231"
        "operator": ""  # 默认 system
    }
    Common.logger(log_type, crawler).info(f"url:{url}")
    Common.logging(log_type, crawler, env, f"url:{url}")
    Common.logger(log_type, crawler).info(f"params:{params}")
    Common.logging(log_type, crawler, env, f"params:{params}")
    response = requests.post(url=url, json=params)
    Common.logger(log_type, crawler).info(f"task_unbind_response:{response.text}")
    Common.logging(log_type, crawler, env, f"task_unbind_response:{response.text}")
    if response.status_code == 200 and response.json()["code"] == 0:
        return "success"
    else:
        return response.text



if __name__ == "__main__":
    print(get_title_score("recommend", "kuaishou", "16QspO", "0usaDk", '像梦一场'))
    pass