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Description:

jsonformatter 0.3.2

jsonformatter -- for python log json

Installation
Basic Usage

Case 1. Initial root logger like logging.basicConfig
Case 2. Complete config in python code
Case 3. Use config file
Case 4. In Flask project, add LogRecord attribute for auto output
Case 5. In Django project, config LOGGING

More Usage

Case 1. Mix extra to output
Case 2. Output multiple attributes in one key
Case 3. Support json.dumps all optional parameters
Case 4. Solve cumtom LogRecord attribute is not JSON serializable

LogRecord Attributes

jsonformatter -- for python log json
jsonformatter is a formatter for python output json log, e.g. output LogStash needed log.
Easily custom(add/replace) LogRecord attribute, e.g. in Flask web project, add username attribute to LogRecord for auto output username.
Python 2.7 and python 3 are supported from version 0.2.X, if you are using a version lower than 0.2.X, Only python 3 is supported.
Installation
jsonformatter is available on PyPI.
Use pip to install:
$ pip install jsonformatter

or:
$ git clone https://github.com/MyColorfulDays/jsonformatter.git
$ cd jsonformatter
$ python setup.py install

Basic Usage
Case 1. Initial root logger like logging.basicConfig
import logging

from jsonformatter import basicConfig

# default keyword parameter `format`: """{"levelname": "levelname", "name": "name", "message": "message"}"""
basicConfig(level=logging.INFO)
logging.info('hello, jsonformatter')

output:
{"levelname": "INFO", "name": "root", "message": "hello, jsonformatter"}

Case 2. Complete config in python code
import logging

from jsonformatter import JsonFormatter

# `format` can be `json`, `OrderedDict`, `dict`.
# If `format` is `dict` and python version < 3.7.0, the output order is sorted keys, otherwise will same as defined order.
# key: string, can be whatever you like.
# value: `LogRecord` attribute name.
STRING_FORMAT = '''{
"Name": "name",
"Levelno": "levelno",
"Levelname": "levelname",
"Pathname": "pathname",
"Filename": "filename",
"Module": "module",
"Lineno": "lineno",
"FuncName": "funcName",
"Created": "created",
"Asctime": "asctime",
"Msecs": "msecs",
"RelativeCreated": "relativeCreated",
"Thread": "thread",
"ThreadName": "threadName",
"Process": "process",
"Message": "message"
}'''

root = logging.getLogger()
root.setLevel(logging.INFO)

formatter = JsonFormatter(STRING_FORMAT)

sh = logging.StreamHandler()
sh.setFormatter(formatter)
sh.setLevel(logging.INFO)

root.addHandler(sh)

root.info("test %s format", 'string')

output:
{"Name": "root", "Levelno": 20, "Levelname": "INFO", "Pathname": "test.py", "Filename": "test.py", "Module": "test", "Lineno": 75, "FuncName": "test_string_format", "Created": 1588185267.3198836, "Asctime": "2020-04-30 02:34:27,319", "Msecs": 319.8835849761963, "RelativeCreated": 88.2880687713623, "Thread": 16468, "ThreadName": "MainThread", "Process": 16828, "Message": "test string format"}

Case 3. Use config file
config file:
$ cat logger_config.ini
[loggers]
keys=root

[logger_root]
level=INFO
handlers=infohandler

###############################################

[handlers]
keys=infohandler

[handler_infohandler]
class=StreamHandler
level=INFO
formatter=form01
args=(sys.stdout,)

###############################################

[formatters]
keys=form01

[formatter_form01]
class=jsonformatter.JsonFormatter
format={"name": "name","levelno": "levelno","levelname": "levelname","pathname": "pathname","filename": "filename","module": "module","lineno": "lineno","funcName": "funcName","created": "created","asctime": "asctime","msecs": "msecs","relativeCreated": "relativeCreated","thread": "thread","threadName": "threadName","process": "process","message": "message"}

python code:
import logging
import os
from logging.config import fileConfig

fileConfig(os.path.join(os.path.dirname(__file__), 'logger_config.ini'))
root = logging.getLogger('root')
root.info('test file config')

output:
{"name": "root", "levelno": 20, "levelname": "INFO", "pathname": "test.py", "filename": "test.py", "module": "test", "lineno": 315, "funcName": "test_file_config", "created": 1588185267.3020294, "asctime": "2020-04-30 02:34:27", "msecs": 302.0293712615967, "relativeCreated": 70.4338550567627, "thread": 16468, "threadName": "MainThread", "process": 16828, "message": "test file config"}

Case 4. In Flask project, add LogRecord attribute for auto output
flask_demo.py
import datetime
import json
import logging
import random
from collections import OrderedDict

from jsonformatter import JsonFormatter
from flask import Flask, has_request_context, request, session
from flask.logging import default_handler

app = Flask(__name__)

# the key will add/replace `LogRecord` attribute.
# the value must be `callable` type and not support positional paramters, the returned value will be as the `LogRecord` attribute value.
RECORD_CUSTOM_ATTRS = {
# no parameters
'url': lambda: request.url if has_request_context() else None,
'username': lambda: session['username'] if has_request_context() and ('username' in session) else None,
# Arbitrary keywords parameters
'status': lambda **record_attrs: 'failed' if record_attrs['levelname'] in ['ERROR', 'CRITICAL'] else 'success'
}

RECORD_CUSTOM_FORMAT = OrderedDict([
# custom record attributes start
("Url", "url"),
("Username", "username"),
("Status", "status"),
# custom record attributes end
("Name", "name"),
("Levelno", "levelno"),
("Levelname", "levelname"),
("Pathname", "pathname"),
("Filename", "filename"),
("Module", "module"),
("Lineno", "lineno"),
("FuncName", "funcName"),
("Created", "created"),
("Asctime", "asctime"),
("Msecs", "msecs"),
("RelativeCreated", "relativeCreated"),
("Thread", "thread"),
("ThreadName", "threadName"),
("Process", "process"),
("Message", "message")
])

formatter = JsonFormatter(
RECORD_CUSTOM_FORMAT,
record_custom_attrs=RECORD_CUSTOM_ATTRS
)

default_handler.setFormatter(formatter)
app.logger.warning('hello, jsonformatter')

output:
{"Url": null, "Username": null, "Status": "success", "Name": "flask_demo", "Levelno": 30, "Levelname": "WARNING", "Pathname": "flask_demo.py", "Filename": "flask_demo.py", "Module": "flask_demo", "Lineno": 54, "FuncName": "<module>", "Created": 1595781463.3557186, "Asctime": "2020-07-27 00:37:43,355", "Msecs": 355.71861267089844, "RelativeCreated": 858.7081432342529, "Thread": 15584, "ThreadName": "MainThread", "Process": 17560, "Message": "hello, jsonformatter"}

Case 5. In Django project, config LOGGING
settings.py
LOGGING = {
'version': 1,
'disable_existing_loggers': False,
'formatters': {
'standard': {
'class': 'jsonformatter.JsonFormatter',
'format': OrderedDict([
("Name", "name"),
("Levelno", "levelno"),
("Levelname", "levelname"),
("Pathname", "pathname"),
("Filename", "filename"),
("Module", "module"),
("Lineno", "lineno"),
("FuncName", "funcName"),
("Created", "created"),
("Asctime", "asctime"),
("Msecs", "msecs"),
("RelativeCreated", "relativeCreated"),
("Thread", "thread"),
("ThreadName", "threadName"),
("Process", "process"),
("Message", "message")
])
},
},
'handlers': {
'console': {
'level': 'INFO',
'formatter': 'standard',
'class': 'logging.StreamHandler',
},
},
'loggers': {
'django': {
'handlers': ['console'],
'level': 'INFO',
'propagate': False
},
}
}

More Usage
Case 1. Mix extra to output
import logging

from jsonformatter import JsonFormatter

root = logging.getLogger()
root.setLevel(logging.INFO)

sh = logging.StreamHandler()
formatter = JsonFormatter(
ensure_ascii=False,
mix_extra=True,
mix_extra_position='tail' # optional: head, mix
)
sh.setFormatter(formatter)
sh.setLevel(logging.INFO)
root.addHandler(sh)

root.info(
'test mix extra in fmt',
extra={
'extra1': 'extra content 1',
'extra2': 'extra content 2'
})
root.info(
'test mix extra in fmt',
extra={
'extra3': 'extra content 3',
'extra4': 'extra content 4'
})

output:
{"levelname": "INFO", "name": "root", "message": "test mix extra in fmt", "extra1": "extra content 1", "extra2": "extra content 2"}
{"levelname": "INFO", "name": "root", "message": "test mix extra in fmt", "extra3": "extra content 3", "extra4": "extra content 4"}

Case 2. Output multiple attributes in one key
import logging

from jsonformatter import JsonFormatter

MULTI_ATTRIBUTES_FORMAT = '''{
"multi attributes in one key": "%(name)s - %(levelno)s - %(levelname)s - %(pathname)s - %(filename)s - %(module)s - %(lineno)d - %(funcName)s - %(created)f - %(asctime)s - %(msecs)d - %(relativeCreated)d - %(thread)d - %(threadName)s - %(process)d - %(message)s"
}
'''

root = logging.getLogger()
root.setLevel(logging.INFO)

formatter = JsonFormatter(MULTI_ATTRIBUTES_FORMAT)

sh = logging.StreamHandler()
sh.setFormatter(formatter)

sh.setLevel(logging.INFO)

root.addHandler(sh)
root.info('test multi attributes in one key')

Case 3. Support json.dumps all optional parameters
import logging

from jsonformatter import JsonFormatter

STRING_FORMAT = '''{
"Name": "name",
"Levelno": "levelno",
"Levelname": "levelname",
"Pathname": "pathname",
"Filename": "filename",
"Module": "module",
"Lineno": "lineno",
"FuncName": "funcName",
"Created": "created",
"Asctime": "asctime",
"Msecs": "msecs",
"RelativeCreated": "relativeCreated",
"Thread": "thread",
"ThreadName": "threadName",
"Process": "process",
"Message": "message"
}'''

root = logging.getLogger()
root.setLevel(logging.INFO)

formatter = JsonFormatter(STRING_FORMAT, indent=4, ensure_ascii=False)

sh = logging.StreamHandler()
sh.setFormatter(formatter)

sh.setLevel(logging.INFO)

root.addHandler(sh)

root.info('test json optional paramter: 中文')

Case 4. Solve cumtom LogRecord attribute is not JSON serializable
import datetime
import json
import logging
import random
from collections import OrderedDict

from jsonformatter import JsonFormatter

# the key will add/replace `LogRecord` attribute.
# the value must be `callable` type and not support positional paramters, the returned value will be as the `LogRecord` attribute value.
RECORD_CUSTOM_ATTRS = {
# `datetime.datetime` type is not JSON serializable.
# solve it in three ways, choose which you like.
# 1. use `LogRecord` attribute `Format`: %(asctme)s.
# 2. use `json.dumps` optional parameter `default`.
# 3. use `json.dumps` optional parameter `cls`.
'asctime': lambda: datetime.datetime.today(),
'user id': lambda: str(random.random())[2:10]
}

RECORD_CUSTOM_FORMAT = OrderedDict([
("User id", "user id"), # new custom attrs
("Name", "name"),
("Levelno", "levelno"),
("Levelname", "levelname"),
("Pathname", "pathname"),
("Filename", "filename"),
("Module", "module"),
("Lineno", "lineno"),
("FuncName", "funcName"),
("Created", "created"),
("Asctime", "%(asctime)s"), # use `LogRecord` attribute `Format` to find matched key from RECORD_CUSTOM_ATTRS and call it value.
("Msecs", "msecs"),
("RelativeCreated", "relativeCreated"),
("Thread", "thread"),
("ThreadName", "threadName"),
("Process", "process"),
("Message", "message")
])

# use `json.dumps` optional parameter `default`
def DEFAULT_SOLUTION(o):
if not isinstance(o, (str, int, float, bool, type(None))):
return str(o)
else:
return o

# use `json.dumps` optional parameter `cls`
class CLS_SOLUTION(json.JSONEncoder):
def default(self, o):
if isinstance(o, datetime.datetime):
return o.isoformat()

return json.JSONEncoder.default(self, o)

root = logging.getLogger()
root.setLevel(logging.INFO)

formatter = JsonFormatter(RECORD_CUSTOM_FORMAT, record_custom_attrs=RECORD_CUSTOM_ATTRS, default=DEFAULT_SOLUTION, cls=CLS_SOLUTION)

sh = logging.StreamHandler()
sh.setFormatter(formatter)

sh.setLevel(logging.INFO)

root.addHandler(sh)
root.info('record custom attrs')

LogRecord Attributes
Offical url: https://docs.python.org/3/library/logging.html#logrecord-attributes

Attribute name
Format
Description

args
You shouldn’t need to format this yourself.
The tuple of arguments merged into msg to produce message, or a dict whose values are used for the merge (when there is only one argument, and it is a dictionary).

asctime
%(asctime)s
Human-readable time when the LogRecord was created. By default this is of the form ‘2003-07-08 16:49:45,896’ (the numbers after the comma are millisecond portion of the time).

created
%(created)f
Time when the LogRecord was created (as returned by time.time()).

exc_info
You shouldn’t need to format this yourself.
Exception tuple (à la sys.exc_info) or, if no exception has occurred, None.

filename
%(filename)s
Filename portion of pathname.

funcName
%(funcName)s
Name of function containing the logging call.

levelname
%(levelname)s
Text logging level for the message ('DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL').

levelno
%(levelno)s
Numeric logging level for the message (DEBUG, INFO, WARNING, ERROR, CRITICAL).

lineno
%(lineno)d
Source line number where the logging call was issued (if available).

message
%(message)s
The logged message, computed as msg % args. This is set when Formatter.format() is invoked.

module
%(module)s
Module (name portion of filename).

msecs
%(msecs)d
Millisecond portion of the time when the LogRecord was created.

msg
You shouldn’t need to format this yourself.
The format string passed in the original logging call. Merged with args to produce message, or an arbitrary object (see Using arbitrary objects as messages).

name
%(name)s
Name of the logger used to log the call.

pathname
%(pathname)s
Full pathname of the source file where the logging call was issued (if available).

process
%(process)d
Process ID (if available).

processName
%(processName)s
Process name (if available).

relativeCreated
%(relativeCreated)d
Time in milliseconds when the LogRecord was created, relative to the time the logging module was loaded.

stack_info
You shouldn’t need to format this yourself.
Stack frame information (where available) from the bottom of the stack in the current thread, up to and including the stack frame of the logging call which resulted in the creation of this record.

thread
%(thread)d
Thread ID (if available).

threadName
%(threadName)s
Thread name (if available).