Python 学习记录
1.日志logging模块使用
import logging
from logging.config import dictConfig
#保证日志文件夹存在
dictConfig({
"version": 1,
"formatters": {
"simple": {
"format": "[%(asctime)s] [%(pathname)s:%(lineno)d] [%(levelname)s] %(message)s"
}
},
"handlers": {
"console": {
"class": "logging.StreamHandler",
"level": "DEBUG",
"formatter": "simple",
"stream": "ext://sys.stdout"
},
"info_file_handler": {
"class": "logging.handlers.RotatingFileHandler",
"level": "INFO",
"formatter": "simple",
"filename": "log/info.log",
"maxBytes": 1024*1024*10,
"backupCount": 5,
"encoding": "utf8"
},
"error_file_handler": {
"class": "logging.handlers.RotatingFileHandler",
"level": "ERROR",
"formatter": "simple",
"filename": "log/error.log",
"maxBytes": 1024*1024*10,
"backupCount": 5,
"encoding": "utf8"
}
},
"root": {
"level": 'INFO',
"handlers": ["console", "info_file_handler", "error_file_handler"]
}
})
if __name__ == '__main__':
print('PyCharm')
logging.info("hello info")
logging.warning("hello warning")
logging.error("hello error")需要再当前目录下创建log文件夹，运行程序就会再文件夹下生产两个log文件
2. Web 应用框架Flask模块使用
get请求
from flask import Flask
from flask import request
from python_logging import dictConfig
# Flask框架设置
# static_folder是用来指代存放static文件的目录
# static_url_path是我们再url里输入地址用来指向static文件的
app = Flask(__name__, static_folder='', static_url_path='')
@app.route('/analyse', methods=['get'])
def analyse():
data = request.args.get("text")
print(data)
app.logger.info(data)
return data
if __name__=='__main__':
app.run()
测试方法：
#输入 直接用网页输入: http://127.0.0.1:5000/analyse?text="2020年3月"
#输出 "2020年3月"
post请求
from flask import Flask, jsonify, request
from flask_socketio import SocketIO
from python_logging import dictConfig
import json
app = Flask(__name__, static_folder='', static_url_path='')
@app.route('/analyse', methods=['post'])
def analyse():
#application/x-www-form-urlencoded
print("content_type:", request.headers.get("content_type"))
data = request.form.to_dict()
print('form:', data)
text = data.get("text")
print(text)
app.logger.info(text)
#application/json
print("content_type:", request.headers.get("content_type"))
data = request.get_data().decode("utf-8")
print("data : ", data)
json_data = json.dumps(data, ensure_ascii=False) #参数 ensure_ascii=False 禁用ascii编码，按utf-8编码
print("json_data : ", json_data)
j_data = json.loads(data)
text = j_data.get("text")
print("text: ", text)
for item in j_data.get("num"):
print("first: ", item.get("first"))
print("second: ", item.get("second"))
app.logger.info(text)
return jsonify({'code': 200})
if __name__=='__main__':
app.run(host="127.0.0.1", port=5000)body的两种模式，接收判别type，解读方式不同。
postman模拟发送数据：
body为application/x-www-form-urlencoded模式时：
body为application/json模式时：
打印信息：以 body为application/json模式时为例
在应用中Flask直接打印会干扰日志查看。所以换种方式，使用 flask_socketio模块
post程序修改为
from flask import Flask, jsonify, request
from flask_socketio import SocketIO
from python_logging import dictConfig
import json
app = Flask(__name__, static_folder='', static_url_path='')
@app.route('/analyse', methods=['post'])
def analyse():
#application/x-www-form-urlencoded
print("content_type:", request.headers.get("content_type"))
data = request.form.to_dict()
print('form:', data)
text = data.get("text")
print(text)
app.logger.info(text)
#application/json
print("content_type:", request.headers.get("content_type"))
data = request.get_data().decode("utf-8")
print("data : ", data)
json_data = json.dumps(data, ensure_ascii=False) #参数 ensure_ascii=False 禁用ascii编码，按utf-8编码
print("json_data : ", json_data)
j_data = json.loads(data)
text = j_data.get("text")
print("text: ", text)
for item in j_data.get("num"):
print("first: ", item.get("first"))
print("second: ", item.get("second"))
app.logger.info(text)
return jsonify({'code': 200})
if __name__=='__main__':
socket_io = SocketIO(app, cors_allowed_origins='*', async_mode='eventlet', engineio_logger=False)
socket_io.run(app, host="127.0.0.1", port=5000)打印信息： 同样以body为application/json模式时为例
这样看着简洁很多，不会有那么多干扰项