123456789101112131415161718192021222324252627282930313233343536 |
- import pandas as pd
- from common.database_utils import database_util
- from common.log_utils import logFactory
- from common import constant
- from tqdm import tqdm
- click_client = database_util.get_client()
- logger = logFactory("preprocess data").log
- def write_df_to_pickle(data, filename):
- logger.info(f"开始写入pickle")
- data.to_pickle(f"./data/pkl/{filename}")
- logger.info(f"写入pickle完成,文件名{filename},文件大小{data.shape}", )
- def get_df_by_id_month(uuid_list, month):
- logger.info(f"开始读取{month}数据")
- sql1 = f"select *, length(EVENT_APP_USE.C) as I_appuse from Z_USER_TAG_FLAT_out_{month} where uuid in {uuid_list} order by I_appuse desc limit 1 by uuid,EVENT_SPNAME_C"
- all_data1 = click_client.execute(sql1)
- data_frame1 = pd.DataFrame(all_data1, columns=constant.origin_column_names)
- logger.info(f"data1的shape{data_frame1.shape}")
- return data_frame1
- if __name__ == '__main__':
- path = "./data/csv/8910/tuidinguuids.csv"
- uuids = list(set(pd.read_csv(path).values.reshape(-1).tolist()))
- df = get_df_by_id_month(uuids,'202110')
- write_df_to_pickle(df, f"dbscan.pkl")
|