bx-py-utils 41

Various Python utility functions

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.
• get_code_location() - Return start and end line number for an object via inspect.

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:

• https://github.com/boxine/bx_django_utils

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!

Links

• https://pypi.org/project/bx-py-utils/