Skip to main content

Decorators to indent-log function calls with parameter and timing

Project description

Decorators to log function calls with parameter and timing

Usage

Decorators to track down function call with indent. This tool is very handly for debugging, since the out is much cleaner than using python Stack Frames. Both logging function and indent characters are configurable

Decorate a function:

from indented_logs import log_call

@log_call()
def method1(arg1, arg2):
    return arg1 + arg2

method1(3, 4)

Output:

...CALL: method1(3, 4)
...'method1' RETURN: 7
...'method1' FINISHED in 0.000003 secs

Multiple functions:

from indented_logs import log_call

@log_call()
def get_data():
    get_parameters()
    query_db(conn="sample_conn_str")

@log_call()
def get_parameters():
    pass

@log_call()
def query_db(conn):
    return covert_data("1", "2")

@log_call()
def covert_data(a, b):
    return (int(a), int(b))

get_data()

Output:

...CALL: get_data()

......CALL: get_parameters()
......get_parameters RETURN: None
......get_parameters FINISHED in 0.000004 secs


......CALL: query_db(, conn=sample_conn_str)

.........CALL: covert_data(1, 2)
.........covert_data RETURN: (1, 2)
.........covert_data FINISHED in 0.000005 secs

......query_db RETURN: (1, 2)
......query_db FINISHED in 0.000870 secs

...get_data RETURN: None
...get_data FINISHED in 0.002771 secs

Decorate class: Using log_call_cls

from indented_logs import log_call_cls

@log_call_cls(indent="***", log_time=False, logger_func=log_with_capture)
class MyClass:
    def method1(self, arg1, arg2):
        self.method2(arg1)

    def method2(self, arg1):
        pass

obj = MyClass()
obj.method1("aaaaa", "bbbbbbb")

Ouput:

***CALL: method1(aaaaa, bbbbbbb)

******CALL: method2(aaaaa)
******method2 RETURN: None
******method2 FINISHED in 0.000005 secs

***method1 RETURN: None
***method1 FINISHED in 0.000916 secs

Customize indent characters:

from indented_logs import log_call

@log_call(indent='___')
def method1(arg1, arg2):
    return arg1 + arg2

method1(3, 4)

Turn off logtime:

from indented_logs import log_call

@log_call(indent='___', log_time=False)
def method1(arg1, arg2):
    return arg1 + arg2

method1(3, 4)

Output:

___CALL: method1(3, 4)
___'method1' RETURN: 7
___'method1' FINISHED in 0.000006 sec

Development

Conda environment

Create conda environment

conda env create -f environment.yml

If any dependency is added, remember to update conda environment file

conda env export --from-history > environment.yml

Tests

Run using pytest:

pytest -s --cov=src

Build and publish

Increase the version number in setup.py, run:

python -m build .

Publish to test Pypi:

python -m twine upload --repository testpypi dist/* --skip-existing

Publish to Pypi:

python -m twine upload --repository pypi dist/* --skip-existing

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

indented-logs-1.0.0.tar.gz (4.3 kB view details)

Uploaded Source

Built Distribution

indented_logs-1.0.0-py3-none-any.whl (4.6 kB view details)

Uploaded Python 3

File details

Details for the file indented-logs-1.0.0.tar.gz.

File metadata

  • Download URL: indented-logs-1.0.0.tar.gz
  • Upload date:
  • Size: 4.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5

File hashes

Hashes for indented-logs-1.0.0.tar.gz
Algorithm Hash digest
SHA256 21924725e29b9975b231ec6ad1adbece62c425400b4331ca25694205a5e71fcc
MD5 73b77c5778bcf5c0e9233ae266801724
BLAKE2b-256 21c69c0f06b96dc04654f80b919b8b85ae45834e2bc8ae280cbc1ff54680b3e1

See more details on using hashes here.

File details

Details for the file indented_logs-1.0.0-py3-none-any.whl.

File metadata

  • Download URL: indented_logs-1.0.0-py3-none-any.whl
  • Upload date:
  • Size: 4.6 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/3.10.0 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.1 CPython/3.9.5

File hashes

Hashes for indented_logs-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 38b7f971a8724950e437ec85987c62084d73ea1a3ee6f6a95d843c5bbf17957d
MD5 98d4450187280a83880b0e7b929171f3
BLAKE2b-256 1a7b9d30bcbef9095329e0cbb068f37ecc7ecc0fc864c576a2ef3eb936928ccb

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page