During the interface test, connect to the database and back up, restore and verify the data source

When carrying out interface test , We need to connect to the database , Back up the data source 、 Restore 、 Verification and other operations .

One 、Python Common modules for connecting to databases

• MysqlDB
• python2 The hottest driver library of the times . be based on C Development , Yes windows Platform unfriendly . Now it has entered python3 Time , Basically no longer use
• MysqlClient
• mysqldb A derivative version of , Fully compatible with python3. It is a heavyweight Web Development framework Django in ORM Function dependent tools
• Pymysql
• pure Python The driver of implementation , Performance ratio MysqlDb Bad , But the installation is simple , Easy to use
• SQLAlchemy
• That is, it supports native SQL Also support ORM The library of

We use pymysql For example

Two 、Pymysql Usage method

Installation method ：pip install pymysql

Pymsyql Usage flow

• Get the connection
• To obtain the cursor  -- The function of cursor is to traverse the records returned by query database , In order to carry out the corresponding operation
• perform SQL sentence
• Close cursor
• Close the connection

Code implementation ：

#  Create database connection object 
connect =
  pymysql.Connect(
      host='xxxxx',
      port=3306,
      user='root',
      password='XXXX',
      charset='utf8mb4',
      cursorclass=pymysql.cursors.DictCursor
)

connect： receive Pymysql.connect Object returned by method , Establish connection object 
pymysql.Connect  Establish connection method 
host=XXXX  Connect to the database server 
port=3306  Connection database port number 
user="root"： user name 
password="xxxxx"： password 
charset="utf8mb4"： The code for establishing the connection 
cursorclass=pymysql.cursors.DictCursor: Set the return data type      Return dictionary 

#  Create cursors 
cursor = conn.cursor()
#  Executive core SQL sentence 
cursor.execute("select version();")
#  Close cursor 
cursor.close()
#  Close the connection 
conn.close()

 Query order Library 
 Get a cursor object 
cursor = connect.cursor()
 Query database name plus table name  
mtxshop_trade.es_order
cursor.execute("SELECT order_id,trade_sn FROM mtxshop_trade.es_order WHERE order_id=47050 OR order_id=47049")
data = cursor.fetchall() # Get all the results of the query 
cursor.close()# Close cursor object 

3、 ... and 、 The basic concept of log

Mention log , Whether it's writing framework code or business code , Are inseparable from the log records , He can bring us great help in locating the problem , The best practice is to use built-in logging modular , because logging The module provides developers with very rich functions .

The level of logging

The log level is used to control the information level of the printed log

First , When configuring the log module , You need to set the log level of the log module first

for example , If set to INFO Level , Then print the log with DEBUG The log will not be output .

• DEBUG
• INFO
• WARNING
• ERROR
• CRITICAL

Log output mode

• Output to console
• output to a file

Log format

Specify the format and content of the output log. Common formats are ：

%(levelno)s:  Print log level values 
%(levelname)s:  Print log level name 
%(pathname)s:  Print the path of the currently executing program , In fact, that is sys.argv[0]
%(filename)s:  Print the name of the currently executing program 
%(funcName)s:  Print the current function of the log 
%(lineno)d:  Print the current line number of the log 
%(asctime)s:  Time to print the log 
%(thread)d:  Print thread ID
%(threadName)s:  Print thread name 
%(process)d:  Printing process ID
%(message)s:  Print log information 

logging Usage flow

• First step ： Instantiation logging modular
• The second step ： Set log level
• The third step ： Configure the log processor 、 Log format ; Log processor ： Control the printing mode of the log
• Step four ： Print log

logging Module processing flow

The interface test framework implements the log collection function

Write the log configuration function code

This function configures the output log to the console and file , And set the log printing format

def logging_init():
#  Initialize the logger 

logger = logging.getLogger()
#  Set log level 
logger.setLevel(logging.INFO)
#  Add controller 
stream_handler = logging.StreamHandler()
file_handler = logging.handlers.TimedRotatingFileHandler(config.BASE_DIR + "/logs/lagou_log.log", when='h',
interval=1,backupCount=3, encoding="utf-8")
#  Format log 
fmt = "%(asctime)s %(levelname)s [%(name)s] [ %(filename)s %(funcName)s % (lineno)d ] %(message)s "
formatter = logging.Formatter(fmt)
#  Add the log format to the controller 
stream_handler.setFormatter(formatter)
file_handler.setFormatter(formatter)
#  Add controller to logger 
logger.addHandler(stream_handler)
logger.addHandler(file_handler)

return logger

And then in api. init .py  This function is called , Complete the initialization of the log

from utils import logging_init

#  Initialize the log configuration function 
logging_init()

#  Test print log 
import logging
logging.info("  measuring   try  info  level   other   Of   Japan   Records   hit   print  ")
logging.debug(" test debug Level of log printing ") # Don't print 

stay api. init .py Reason for initializing log configuration ：

execute perform script Use case in ,script The use case in is to call api Interface implementation interface testing , Follow the module syntax , When calling a module , It will automatically execute the... Under the module init .py Code

follow-up , Only need to print the log in the module , Import logging Installation package , You can output the log information of the configured log format and log level

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