修复了数据库连接不断开的bug

README.md

@@ -16,6 +16,15 @@
 ## 部署
 > 由于对`vercel`不熟悉, vercel的配置文件搞不明白所以暂时没有vercel的配置文件, 我也试了很多方法去部署但是要么是500要么是400
 
+> 在部署之前你需要先安装`python3.9.x`以上的版本 
+### 部署到本地服务器
+ ```shell
+ $ git clone https://github.com/MarkusJoe/RequestCounter.git
+ $ cd RequestCounter
+ $ pip3 install -r requirements.txt
+ $ python3 app.py 
+ ```
+
 ## 调用须知
 - API支持`GET` 和 `POST` 方法请求
 - 最大可以计数`10`位数, 超过则重置

bin/tests/stress_test.py

@@ -7,7 +7,12 @@
 
 
 import requests
+import threading
 
 
-for i in range(100):
+def thread_():
-    print(requests.get('http://127.0.0.1:5000/API?name=89999&length=10&theme=t2').elapsed.microseconds)
+    print(requests.get('http://127.0.0.1:5000/get?name=89999&length=10&theme=t2').elapsed.microseconds)
+
+
+for i in range(1000000):
+    threading.Thread(target=thread_).start()

db/db.py

@@ -18,8 +18,14 @@ def insert_data(name: str) -> None:
     :param name:
     :return:
     """
+    conn = sqlite3.connect('./db/data.db', check_same_thread=False)
+    cursor = conn.cursor()
+    try:
         cursor.execute('insert into ReqCount values(?, ?)', (name, 1))
         conn.commit()
+    finally:
+        cursor.close()
+        conn.close()
 
 
 def fetch_data(name: str) -> int:
@@ -28,15 +34,16 @@ def fetch_data(name: str) -> int:
     :param name:
     :return:
     """
+    conn = sqlite3.connect('./db/data.db', check_same_thread=False)
+    cursor = conn.cursor()
+    try:
         cursor.execute('select * from ReqCount')
         conn.commit()
         data = cursor.fetchall()
 
-    # 将返回的元组转换为字典
         temp_dict = {}
         for k, v in data:
             temp_dict.setdefault(k, []).append(v)
-    # 上方代码将元组转换为字典后字典的值会变成只有一个值的列表, 用下面两行代码去除
         for i, c in zip(temp_dict.keys(), temp_dict.values()):
             temp_dict[i] = c[0]
 
@@ -48,6 +55,9 @@ def fetch_data(name: str) -> int:
             # 新建用户数据
             insert_data(name)
             return 0
+    finally:
+        cursor.close()
+        conn.close()
 
 
 def update_data(name: str, times: int) -> None:
@@ -57,9 +67,15 @@ def update_data(name: str, times: int) -> None:
     :param times:
     :return:
     """
+    conn = sqlite3.connect('./db/data.db', check_same_thread=False)
+    cursor = conn.cursor()
+    try:
         times += 1
         cursor.execute('update ReqCount set times=? where name=?', (times, name))
         conn.commit()
+    finally:
+        cursor.close()
+        conn.close()
 
 
 def fetch_table() -> list:
@@ -67,15 +83,15 @@ def fetch_table() -> list:
     返回已有主题列表
     :return:
     """
-    lst = []
     conn_temp = sqlite3.connect('./bin/assets/theme.db', check_same_thread=False)
     cursor_temp = conn_temp.cursor()
+    try:
+        lst = []
         cursor_temp.execute("select * from sqlite_master where type='table'")
         for i in cursor_temp.fetchall():
             lst.append(i[1])
         return lst
+    finally:
+        cursor_temp.close()
+        conn_temp.close()
 
-
-if __name__ != '__main__':
-    conn = sqlite3.connect('./db/data.db', check_same_thread=False)
-    cursor = conn.cursor()

docs/README.md

@@ -37,119 +37,20 @@
 测试用代码如下
 ```python
 import requests
+import threading
 
-for i in range(100):
+
-    res = requests.get('http://127.0.0.1/API?name=2&length=10&theme=t2').elapsed.microseconds
+def thread_():
-    print(res)  # 返回响应速度 单位: 微秒
+    print(requests.get('http://127.0.0.1:5000/get?name=89999&length=10&theme=t2').elapsed.microseconds)
+
+    
+for i in range(1000000):
+    threading.Thread(target=thread_).start()
 ```
->在`AMD Athlon(tm) X4 830 Quad Core Processor 2.99 GHz` `4G` 内存的电脑上运行项目  
+>在`AMD Athlon(tm) X4 830 Quad Core Processor 2.99 GHz` `4G` 内存的电脑上运行项目<br>
-> 在本机上使用`Requests`库`GET`方法请求`100`次 (名称为`2`长度为`10`主题为`t2`)  
+> 在本机上使用`Requests`库`GET`方法请求`1000000`次 (名称为`2`长度为`10`主题为`t2`)<br>
-> 使用`elapsed.microseconds`属性 获取响应速度返回的值如下
+> 使用`elapsed.microseconds`属性 获取响应速度在 `0.03` ~ `0.8` 秒左右
-<details>
+
-单位: 微秒<br>
-参考: 1秒(second)(s) = 1000毫秒(millisecond)(ms) = 1000000微秒(microseconds)(us)<br>
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-</details>
-<br>
 
 # 关于
 ## 开源