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- import datetime
- import traceback
- import pandas as pd
- from odps import ODPS
- from threading import Timer
- from config import set_config
- from log import Log
- from utils.utils import get_data_from_odps
- from words_func import word_cut
- from db_helper import MysqlHelper
- config_, env = set_config()
- log_ = Log()
- mysql_helper = MysqlHelper()
- features = ['title', 'source']
- def check_table_partition_exits(date, project, table, connect_timeout=3000, read_timeout=500000,
- pool_maxsize=1000, pool_connections=1000):
- """
- 判断表中是否存在这个分区
- :param date: 日期 type-string '%Y%m%d'
- :param project: type-string
- :param table: 表名 type-string
- :param connect_timeout: 连接超时设置
- :param read_timeout: 读取超时设置
- :param pool_maxsize:
- :param pool_connections:
- :return: records
- """
- odps = ODPS(
- access_id=config_.ODPS_CONFIG['ACCESSID'],
- secret_access_key=config_.ODPS_CONFIG['ACCESSKEY'],
- project=project,
- endpoint=config_.ODPS_CONFIG['ENDPOINT'],
- connect_timeout=connect_timeout,
- read_timeout=read_timeout,
- pool_maxsize=pool_maxsize,
- pool_connections=pool_connections
- )
- t = odps.get_table(name=table)
- return t.exist_partition(partition_spec=f'dt={date}')
- def data_check(project, table, now_date):
- """检查数据是否准备好"""
- odps = ODPS(
- access_id=config_.ODPS_CONFIG['ACCESSID'],
- secret_access_key=config_.ODPS_CONFIG['ACCESSKEY'],
- project=project,
- endpoint=config_.ODPS_CONFIG['ENDPOINT'],
- connect_timeout=3000,
- read_timeout=500000,
- pool_maxsize=1000,
- pool_connections=1000
- )
- try:
- dt = datetime.datetime.strftime(now_date, '%Y%m%d')
- check_res = check_table_partition_exits(date=dt, project=project, table=table)
- if check_res:
- sql = f'select * from {project}.{table} where dt = {dt}'
- with odps.execute_sql(sql=sql).open_reader() as reader:
- data_count = reader.count
- else:
- data_count = 0
- except Exception as e:
- data_count = 0
- return data_count
- def get_title_data(project, table, now_date):
- """获取站内外视频标题数据"""
- dt = datetime.datetime.strftime(now_date, '%Y%m%d')
- records = get_data_from_odps(date=dt, project=project, table=table)
- feature_data = []
- for record in records:
- item = {}
- for feature_name in features:
- item[feature_name] = record[feature_name]
- feature_data.append(item)
- feature_df = pd.DataFrame(feature_data)
- return feature_df
- def update_cut_words_result(text, source, words_list):
- """
- 分词结果入库
- :param text: 原始文本 type-string
- :param source: 文本来源 type-int
- :param words_list: 分词结果 type-list
- :return:
- """
- # 分词结果拼接成字符串
- words = ','.join(words_list)
- # 判断原始文本是否已存在
- select_sql = f"SELECT id FROM word.cut_words_result WHERE text = '{text}';"
- res = mysql_helper.get_data(sql=select_sql)
- if res is None or len(res) == 0:
- # 不存在,插入
- insert_sql = f"insert into word.cut_words_result (text, words, source) values ('{text}', '{words}', {source});"
- log_.info(f"insert_sql = {insert_sql}")
- mysql_helper.add_data(sql=insert_sql)
- else:
- # 存在,更新
- update_sql = f"""update word.cut_words_result set words = '{words}', source = {source},
- update_time = '{datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")}' where id = {res[0][0]};"""
- log_.info(f"update_sql = {update_sql}")
- mysql_helper.add_data(sql=update_sql)
- def update_hot_word(words_list, source):
- """
- 词入库
- :param words_list: 词列表 type-list
- :param source: 词来源 type-int
- :return:
- """
- for word in words_list:
- if len(word) == 0:
- continue
- # 判断词是否已存在
- select_sql = f"SELECT id, source FROM word.hot_word WHERE word = '{word}';"
- res = mysql_helper.get_data(sql=select_sql)
- if res is None or len(res) == 0:
- # 不存在,插入
- insert_sql = f"insert into word.hot_word (word, source) values ('{word}', {source});"
- mysql_helper.add_data(sql=insert_sql)
- else:
- # 存在,更新
- if source != res[0][1]:
- source = 3
- update_sql = \
- f"""update word.hot_word set source = {source},
- update_time = '{datetime.datetime.now().strftime("%Y-%m-%d %H:%M:%S")}' where id = {res[0][0]};"""
- mysql_helper.add_data(sql=update_sql)
- def data_update(project, table, now_date):
- """数据更新"""
- # 获取站内外视频标题数据
- df = get_title_data(project=project, table=table, now_date=now_date)
- df['source'] = df['source'].astype(int)
- for source in [1, 2]:
- df_temp = df[df['source'] == source]
- title_list = df_temp['title'].to_list()
- log_.info(f"source = {source}, count = {len(title_list)}")
- for title in title_list:
- log_.info(f"title: {title}")
- if len(title) == 0:
- return
- # 1. 分词
- words_list = word_cut(text=title)
- log_.info(f"words_list: {words_list}")
- # 2. 分词结果入库
- update_cut_words_result(text=title, source=source, words_list=words_list)
- # 3. 词入库
- update_hot_word(words_list=words_list, source=source)
- def timer_check():
- try:
- project = config_.TITLE_DATA['project']
- table = config_.TITLE_DATA['table']
- now_date = datetime.datetime.today()
- log_.info(f"now_date: {datetime.datetime.strftime(now_date, '%Y%m%d')}")
- # 查看当天更新的数据是否已准备好
- data_count = data_check(project=project, table=table, now_date=now_date)
- if data_count > 0:
- log_.info(f'data_count = {data_count}')
- # 数据准备好,进行更新
- data_update(project=project, table=table, now_date=now_date)
- log_.info(f"data update end!")
- else:
- # 数据没准备好,1分钟后重新检查
- Timer(60, timer_check).start()
- except Exception as e:
- log_.error(f"数据更新失败, exception: {e}, traceback: {traceback.format_exc()}")
- if __name__ == '__main__':
- timer_check()
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