math_dup_check/config.py

import os
import time
import json
import logging
import pymongo

# 建立mongodb连接
# myclient = pymongo.MongoClient("mongodb://192.168.1.140:27017/")
myclient = pymongo.MongoClient(
    # host="49.232.97.180",
    host="10.19.1.2",
    port=8888,
    username="root",
    password="oyiqd!oy@wxc=ykw@2*jei!")
mongo_info_db = myclient["math_tk"]
mongo_coll_cloud = mongo_info_db['cloud_topic']
mongo_coll_school = mongo_info_db['school_topic']
# mongodb题库名称
mongo_coll_list = [mongo_coll_cloud, mongo_coll_school]

# 建立mysql连接
# mysqldb = {
#     "host": '192.168.1.232',
#     "user": 'mysql_dev',
#     "password": 'mydb_3307',
#     "db": 'zsy_tk',
#     "charset": 'utf8mb4'
# }
mysqldb = {
    # "host": '10.19.63.195',
    "host": '172.16.5.14',
    "user": 'zsy',
    "password": 'Hbt3sZNxepnZQNPU',
    "db": 'zsy_tk',
    "charset": 'utf8mb4'
}

# 图片公式识别链接
# formula_url = r"http://192.168.1.208:8000/segment/formula/"
formula_url = r"http://10.19.1.11:7080/segment/formula/"

# mongodb句向量训练标志
sent_train_flag = 1
# 批量处理数据字典格式
batch_processing_dict = {
    "topic_id_list": [],
    "cont_clear_list": [],
    "cont_cut_list": [],
    "cut_idx_list": [0]
}

# 云题库和校本题库阈值
database_threshold = [[0.94, 0.8], [0.92, 0.72]]

# hnsw模型数量
hnsw_num = 2
# 词向量维度
vector_dim = 384
# hnsw评价指标('l2','cosine','ip')
hnsw_metric = ('l2','cosine','ip')[0]
# hnsw最大索引数量
num_elements = 5000000
# hnsw召回数量参数
hnsw_set_ef = 150

# hnsw模型更新和检索链接
hnsw_update_url = r"http://localhost:8858/update"
hnsw_retrieve_url = r"http://localhost:8858/retrieve"

# 根地址
root_path = os.getcwd()
data_root_path = os.path.join(root_path, "model_data")
# Sentence_BERT模型地址
sbert_path = os.path.join(data_root_path, "all-MiniLM-L6-v2")
# 获取hnsw模型地址
hnsw_path_list = ["hnsw_cloud.bin", "hnsw_school.bin"]
# hnsw待更新保存数据文件地址
hnsw_update_save_path = os.path.join(root_path, "hnsw_update_data.txt")

# 日志地址
log_root_path = os.path.join(root_path, "logs")
# 查重日志地址
math_dup_path = os.path.join(log_root_path, "math_dup_app.log")
# 关联和自查重日志地址
rlt_ddc_path = os.path.join(log_root_path, "rlt_ddc_app.log")
# 日志信息(message)格式
log_msg = "id : {id} -> {type} -> {message}"
# 封装logging
class LogConfig():
    def __init__(self, log_path, logger_name):
        '''
            指定保存日志的文件路径，日志级别，以及调用文件
            将日志存入到指定的文件中
        '''
        # 创建logger对象
        self.logger = logging.getLogger(logger_name)
        self.log_path = log_path
        # 设置日志等级
        self.logger.setLevel(logging.INFO)  # DEBUG

        # 追加写入文件a ，设置utf-8编码防止中文写入乱码
        fh = logging.FileHandler(self.log_path, mode='a', encoding='utf8', delay=True)
        # 向文件输出的日志级别
        fh.setLevel(logging.INFO)
        # 向文件输出的日志信息格式
        formatter_dict = {
            "sys-msg": "%(asctime)s-%(filename)s-%(lineno)s-%(levelname)s",
            "log-msg": "%(message)s",
        }
        formatter = logging.Formatter(json.dumps(formatter_dict))
        # 将日志信息格式加载到日志文件中
        fh.setFormatter(formatter)
        # 加载文件到logger对象中
        self.logger.addHandler(fh)

    # 重置刷新日志
    def log_reset(self):
        log_reset_path = (math_dup_path, rlt_ddc_path)
        for log_idx, lr_path in enumerate(log_reset_path):
            if os.path.exists(lr_path) is False:
                continue
            # 设置日志定长自动新建
            logsize = os.path.getsize(lr_path)
            if log_idx > 0 and logsize <= 100*1024*1024:  # 100M
                continue
            os.rename(lr_path, lr_path.split('.')[0]+'_'+\
                      str(time.strftime('%Y_%m%d_%H%M', time.localtime()))+'.log')
    
    # 获取生成日志读写操作并删除多余日志
    def get_log(self):
        self.del_log()
        return self.logger

    # 删除长期未处理日志
    def del_log(self):
        file_list = os.listdir(log_root_path)
        file_path_list = [os.path.join(log_root_path, file) for file in file_list]
        file_path_list = [file_path for file_path in file_path_list
                          if self.log_path.split('.')[0] in file_path.split('.')[0]
                          and self.log_path != file_path]
        file_path_list = [(file_path, os.path.getctime(file_path))
                          for file_path in file_path_list]
        # 根据创建时间排序获取需要删除文件路径名称
        file_sort_list = sorted(file_path_list, key=lambda x: x[1], reverse=True)[3:]
        if len(file_sort_list) > 0:
            for ele in file_sort_list:
                os.remove(ele[0])