Huge News!Announcing our $40M Series B led by Abstract Ventures.Learn More
Socket
Sign inDemoInstall
Socket

jsonformatter

Package Overview
Dependencies
Maintainers
1
Alerts
File Explorer

Advanced tools

Socket logo

Install Socket

Detect and block malicious and high-risk dependencies

Install

jsonformatter

Python log in json format.

  • 0.3.2
  • PyPI
  • Socket score

Maintainers
1

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 nameFormatDescription
argsYou 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)sHuman-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)fTime when the LogRecord was created (as returned by time.time()).
exc_infoYou shouldn’t need to format this yourself.Exception tuple (à la sys.exc_info) or, if no exception has occurred, None.
filename%(filename)sFilename portion of pathname.
funcName%(funcName)sName of function containing the logging call.
levelname%(levelname)sText logging level for the message ('DEBUG', 'INFO', 'WARNING', 'ERROR', 'CRITICAL').
levelno%(levelno)sNumeric logging level for the message (DEBUG, INFO, WARNING, ERROR, CRITICAL).
lineno%(lineno)dSource line number where the logging call was issued (if available).
message%(message)sThe logged message, computed as msg % args. This is set when Formatter.format() is invoked.
module%(module)sModule (name portion of filename).
msecs%(msecs)dMillisecond portion of the time when the LogRecord was created.
msgYou 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)sName of the logger used to log the call.
pathname%(pathname)sFull pathname of the source file where the logging call was issued (if available).
process%(process)dProcess ID (if available).
processName%(processName)sProcess name (if available).
relativeCreated%(relativeCreated)dTime in milliseconds when the LogRecord was created, relative to the time the logging module was loaded.
stack_infoYou 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)dThread ID (if available).
threadName%(threadName)sThread name (if available).

FAQs


Did you know?

Socket

Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.

Install

Related posts

SocketSocket SOC 2 Logo

Product

  • Package Alerts
  • Integrations
  • Docs
  • Pricing
  • FAQ
  • Roadmap
  • Changelog

Packages

npm

Stay in touch

Get open source security insights delivered straight into your inbox.


  • Terms
  • Privacy
  • Security

Made with ⚡️ by Socket Inc