記錄日誌,在任何項目中,都是很重要的。在Flask
項目中,即有Flask
提供的logger
能夠用來記錄log
,也能夠經過直接使用Python
的logging
模塊自定義logger
來記錄。那麼這二者是什麼關係,又該怎麼使用呢?html
Python
的logging
模塊python
先看下對於logging
模塊的官方介紹git
Loggers have the following attributes and methods. Note that Loggers are never instantiated directly, but always through the module-level functionlogging.getLogger(name)
. Multiple calls togetLogger()
with the same name will always return a reference to the same Logger object.The
name
is potentially a period-separated hierarchical value, likefoo.bar.baz
(though it could also be just plainfoo
, for example). Loggers that are further down in the hierarchical list are children of loggers higher up in the list. For example, given a logger with a name offoo
, loggers with names offoo.bar
,foo.bar.baz
, andfoo.bam
are all descendants offoo
. The logger name hierarchy is analogous to the Python package hierarchy, and identical to it if you organise your loggers on a per-module basis using the recommended constructionlogging.getLogger(__name__)
. That’s because in a module,__name__
is the module’s name in the Python package namespace.github
上面主要告訴咱們三點,flask
logging.getLogger(name)
來獲取一個logger
,相同名字的logger
,實際上是同一個logger
。logger
是經過name
進行繼承的,好比foo.bar
就是foo
的子logger
。就能夠是實現咱們經過配置一個rootLogger
,而後直接使用rootLogger.sublogger
來記錄一下內容,而不須要單獨再配置一遍。logging.getLogger(__name__)
時,__name__
就是這個模塊所在的python package
的namespace
。flask提供的loggerapi
再看下flask中的logging模塊:多線程
Flask uses standard Pythonlogging
. All Flask-related messages are logged under the'flask'
logger namespace.Flask.logger
returns the logger named'flask.app'
, and can be used to log messages for your application.Depending on the situation, an extension may choose to log to
app.logger
or its own named logger. Consult each extension’s documentation for details.app
咱們能夠知道flask的logger就是一個標準的Python logging,它的命名是flask
。咱們既可使用app.logger
,也能夠本身定義一個logger
。
那麼如何使用app.logger
呢?
有兩種方式:
直接調用
logger = logging.getLogger('flask.app') logger.info('flask.app')
使用Flask
提供的接口
from flask import current_app current_app.logger.info('logged by current_app from main')
這裏推薦仍是使用第二種,current_app
是一個單例,能夠直接引用到app.logger
。
經過修改app.logger
的name
,能夠實現子logger
的繼承麼?
答案是否認的。
修改app.logger
的name
:
# app/__init__.py app.logger.name = 'app'
而後在子模塊中定義一個app.module
的logger
來記錄:
from flask import current_app import logging logger = logging.getLogger('app.module') @module.route('/test', methods=['GET']) def test(): logger.info('logged by app.module') current_app.logger.info('logged by current_app.logger')
輸出結果:
2019-02-01 10:56:01,877 - Thread-2 - app - INFO - logged by current_app.logger
只有current_app.logger
的輸出。
修改app.logger
的name
是否是無效呢?
咱們把子模塊中的logger
的name
修改成flask.app.module
:
from flask import current_app import logging logger = logging.getLogger('flask.app.module') @module.route('/test', methods=['GET']) def test(): logger.info('logged by flask.app.module') current_app.logger.info('logged by current_app.logger')
輸出結果:
2019-02-01 11:00:10,944 - Thread-2 - flask.app.module - INFO - logged by flask.app.module 2019-02-01 11:00:10,946 - Thread-2 - app - INFO - logged by current_app.logger
兩個logger
均輸出了。
可見,經過修改app.logger.name
能夠在記錄的時候顯示爲咱們設置的名稱,但實際上這個logger
仍是flask.app
。
__name__
的使用
在自定義logger
的狀況下,爲了方便起見,咱們能夠利用__name__
這個參數。
前面說到:當使用logging.getLogger(__name__)
時,__name__
就是這個模塊所在的python package
的namespace
。
通常Flask
的工廠模式結構以下:
app ├── __init__.py ├── main │ ├── __init__.py │ ├── functions.py │ └── views.py └── module ├── __init__.py ├── functions.py └── views.py
那麼咱們在先在app.__init__
中定義rootLogger
,而後再在app.module.functions.py
中定義子Logger
,均使用logging.getLogger(__name__)
:
# app.__init__.py 初始化rootlogger rootLogger = logging.getLogger(__name__) rootLogger.setLevel(logging.DEBUG) socketHandler = logging.handlers.SocketHandler('localhost',logging.handlers.DEFAULT_TCP_LOGGING_PORT) rootLogger.addHandler(socketHandler) rootLogger.setLevel(logging.DEBUG) # app.module.functions.py import logging logger = logging.getLogger(__name__) def record_from_logging(): logger.info('logged by logging from __name__')
輸出:
2019-02-01 12:18:34,743 - MainThread - app - INFO - register root logger by __name__ 2019-02-01 12:19:24,954 - Thread-4 - app.module.functions - INFO - logged by logging from __name__
能夠發現輸出的logger.name
就是所在的文件目錄,logger
之間的繼承關係與整個程序包保持一致。
根據上面分析,那麼怎麼優雅的記錄logger
呢?
若是沒有對模塊進行分logger
記錄要求的話。能夠直接使用在程序初始化的時候配置app.logger
(能夠自行設置logger.name
)。在模塊中經過import current_app
來記錄:
# app.__init__.py def register_logging(app): app.logger.name = 'app' # logstash_handler stashHandler = logstash.LogstashHandler('app.config.get('ELK_HOST')', 'app.config.get('ELK_PORT')') app.logger.addHandler(stashHandler) # socket_handler socketHandler = logging.handlers.SocketHandler('localhost', logging.handlers.DEFAULT_TCP_LOGGING_PORT) app.logger.addHandler(socketHandler) # app.module.function.py from flask import current_app @module.route('/test', methods=['GET']) def test(): current_app.logger.info('logging someting') return 'logged by current_app.logger'
輸出效果:
2019-02-01 13:49:28,998 - Thread-2 - app - INFO - logged by current_app from main 2019-02-01 13:49:38,346 - Thread-3 - app - INFO - logged by current_app of functions
__注意__: 對於current_app.logger
的引用不能經過以下方式,會有RuntimeError
的報錯。
from flask import current_app logger = current_app.logger ## 異常 raise RuntimeError(_app_ctx_err_msg) RuntimeError: Working outside of application context. This typically means that you attempted to use functionality that needed to interface with the current application object in some way. To solve this, set up an application context with app.app_context(). See the documentation for more information.
若是但願按本身的實際需求,對模塊進行分logger
記錄要求的話。那麼建議本身設置logger
。
# app.__init__.py def register_logging(): # set own root logger rootLogger = logging.getLogger(__name__) rootLogger.setLevel(logging.DEBUG) # socketHandler socketHandler = logging.handlers.SocketHandler('localhost',logging.handlers.DEFAULT_TCP_LOGGING_PORT) rootLogger.addHandler(socketHandler) # logstash_handler stashHandler = logstash.LogstashHandler('app.config.get('ELK_HOST')', 'app.config.get('ELK_PORT')') rootLogger.addHandler(stashHandler) rootLogger.setLevel(logging.DEBUG) # app.module.function.py import logging logger = logging.getLogger(__name__) @module.route('/test', methods=['GET']) def test(): logger.info('logging someting') return 'logged by logging module'
輸出效果:
2019-02-01 13:49:49,297 - Thread-5 - app.module.views - INFO - logged by flask.app.module 2019-02-01 13:50:01,013 - Thread-7 - app.module.functions - INFO - logged by logging module of functions
完整代碼可參考:https://github.com/keejo125/flask_logging_demo
關於python
中logging
的配置可參考官網:
https://docs.python.org/3/lib...
在配置handler
時,常常會但願日誌能夠按時間分割(TimedRotatingFileHandler)或者按大小分割(RotatingFileHandler).
可是在flask
項目中,尤爲開啓多線程以後,在分割日誌(doRollover()
)時會有文件讀寫的異常:
WindowsError: [Error 32]
建議使用SocketHandler,將日誌發送給單獨的LogServer
來進行二次處理。
簡易的接收socketlog
的LogServer
可參考:https://github.com/keejo125/f...
或者如今流行的stashHandler,將日誌發送給ELK來進行二次處理。