**功能：**<br>
&emsp;从data_feed_click和data_feed_exposure两个表中统计一些推荐指标<br>

**用法：**<br>
&emsp;用法1(推荐)：<br>
 &emsp;&emsp;./start.sh<br>
&emsp;用法2(分开运行)：<br>
&emsp;&emsp;python getRate.py<br>
&emsp;&emsp;python getClickTimes2CountUid.py<br>
&emsp;&emsp;python getTop100Diary.py<br>
&emsp;&emsp;python getTop100Answer.py<br>
&emsp;&emsp;python getTop100Question.py<br>

**输入输出：**<br>
&emsp;输入：无<br>
&emsp;输出：<br>
&emsp;&emsp;1rate_features_yesterday.txt<br>
&emsp;&emsp;2click_times_to_count_uid_yesterday.txt<br>
&emsp;&emsp;3top100_ctr_diary_yesterday.txt<br>
&emsp;&emsp;4top100_ctr_answer_yesterday.txt<br>
&emsp;&emsp;5top100_ctr_question_yesterday.csv<br>
&emsp;&emsp;result_all_yesterday.txt<br>