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Various Python utility functions

Project description

Boxine - bx_py_utils

Various Python utility functions

Quickstart

pip install bx_py_utils

Existing stuff

Here only a simple list about existing utilities. Please take a look into the sources and tests for deeper informations.

bx_py_utils.anonymize

  • anonymize() - Anonymize the given string with special handling for eMail addresses.

bx_py_utils.auto_doc

  • assert_readme() - Check and update README file with generate_modules_doc()
  • generate_modules_doc() - Generate a list of function/class information via pdoc.

bx_py_utils.aws.client_side_cert_manager

  • ClientSideCertManager() - Helper to manage client-side TLS certificate via AWS Secrets Manager by

bx_py_utils.aws.secret_manager

  • SecretsManager() - Access AWS Secrets Manager values

bx_py_utils.compat

  • removeprefix() - Backport of removeprefix from PEP-616 (Python 3.9+)
  • removesuffix() - Backport of removesuffix from PEP-616 (Python 3.9+)

bx_py_utils.dict_utils

  • dict_get() - nested dict get()
  • pluck() - Extract values from a dict, if they are present

bx_py_utils.environ

  • cgroup_memory_usage() - Returns the memory usage of the cgroup the Python interpreter is running in.

bx_py_utils.error_handling

  • print_exc_plus() - Print traceback information with a listing of all the local variables in each frame.

bx_py_utils.graphql_introspection

  • introspection_query() - Generate GraphQL introspection query with variable nested depth.

bx_py_utils.hash_utils

  • url_safe_encode() - Encode bytes into a URL safe string.
  • url_safe_hash() - Generate a URL safe hash with max_size from given string/bytes.

bx_py_utils.humanize.pformat

  • pformat() - Format given object: Try JSON fist and fallback to pformat()

bx_py_utils.humanize.time

  • human_timedelta() - Converts a time duration into a friendly text representation.

bx_py_utils.iteration

  • chunk_iterable() - Returns a generator that yields slices of iterable of the given chunk_size.

bx_py_utils.path

  • assert_is_dir() - Check if given path is a directory
  • assert_is_file() - Check if given path is a file

bx_py_utils.processify

  • processify() - Decorator to run a function as a process.

bx_py_utils.stack_info

  • FrameNotFound() - Base class for lookup errors.
  • last_frame_outside_path() - Returns the stack frame that is the direct successor of given "file_path".

bx_py_utils.test_utils.assertion

  • assert_equal() - Check if the two objects are the same. Display a nice diff, using pformat()
  • assert_text_equal() - Check if the two text strings are the same. Display a error message with a diff.
  • pformat_ndiff() - Generate a ndiff from two objects, using pformat()
  • pformat_unified_diff() - Generate a unified diff from two objects, using pformat()
  • text_ndiff() - Generate a ndiff between two text strings.
  • text_unified_diff() - Generate a unified diff between two text strings.

bx_py_utils.test_utils.datetime

  • parse_dt() - Helper for easy generate a datetime instance via string.

bx_py_utils.test_utils.filesystem_utils

  • FileWatcher() - Helper to record which new files have been created.

bx_py_utils.test_utils.mock_aws_secret_manager

  • SecretsManagerMock() - Mock for bx_py_utils.aws.secret_manager.SecretsManager()

bx_py_utils.test_utils.mock_boto3session

  • MockedBoto3Session() - Mock for boto3.session.Session()

bx_py_utils.test_utils.requests_mock_assertion

  • assert_json_requests_mock() - Check the requests history.

bx_py_utils.test_utils.snapshot

Assert complex output via auto updated snapshot files with nice diff error messages.

  • assert_py_snapshot() - Assert complex python objects vio PrettyPrinter() snapshot file.
  • assert_snapshot() - Assert given data serialized to JSON snapshot file.
  • assert_text_snapshot() - Assert "text" string via snapshot file

bx_py_utils.test_utils.time

  • MockTimeMonotonicGenerator() - Helper to mock time.monotonic() in tests.

Backwards-incompatible changes

v36 -> v37 - Outsourcing Django stuff

We split bx_py_utils and moved all Django related utilities into the separated project:

So, bx_py_utils is better usable in non-Django projects, because Django will not installed as decency of "bx_py_utils"

developing

To start developing e.g.:

~$ git clone https://github.com/boxine/bx_py_utils.git
~$ cd bx_py_utils
~/bx_py_utils$ make
help                 List all commands
install-poetry       install or update poetry
install              install via poetry
update               Update the dependencies as according to the pyproject.toml file
lint                 Run code formatters and linter
fix-code-style       Fix code formatting
tox-listenvs         List all tox test environments
tox                  Run pytest via tox with all environments
tox-py36             Run pytest via tox with *python v3.6*
tox-py37             Run pytest via tox with *python v3.7*
tox-py38             Run pytest via tox with *python v3.8*
tox-py39             Run pytest via tox with *python v3.9*
pytest               Run pytest
pytest-ci            Run pytest with CI settings
publish              Release new version to PyPi
clean                Remove created files from the test project

License

MIT. Patches welcome!

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