bx-py-utils 59

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.file_utils

• EmptyFileError() - Will be raised from get_and_assert_file_size() if a 0-bytes file was found.
• NamedTemporaryFile2() - Generates a temp file with the given filename without any random name sequence.
• get_and_assert_file_size() - Check file size of given file object. Raise EmptyFileError for empty files or return size

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.html_utils

• ElementsNotFoundError() - Happens if requested HTML elements cannot be found
• InvalidHtml() - XMLSyntaxError with better error messages: used in validate_html()
• get_html_elements() - Returns the selected HTML elements as string
• pretty_format_html() - Pretty format given HTML document via BeautifulSoup (Needs 'beautifulsoup4' package)
• validate_html() - Validate a HTML document via XMLParser (Needs 'lxml' package)

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.log_utils

• RaiseLogUsage() - A log handler, that raise an error on every log output.

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.mocks3

A simple mock for Boto3's S3 modules.

• PseudoS3Client() - Simulates a boto3 S3 client object in tests

bx_py_utils.test_utils.requests_mock_assertion

• assert_json_requests_mock() - Check the requests mock history. In this case all requests must be JSON.
• assert_json_requests_mock_snapshot() - Check requests mock history via snapshot. Accepts only JSON requests.
• assert_requests_mock() - Check the requests mock history. Accept mixed "text" and "JSON".
• assert_requests_mock_snapshot() - Check requests mock history via snapshot. Accept mixed "text" and "JSON".

bx_py_utils.test_utils.snapshot

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

• assert_html_snapshot() - Assert "html" string via snapshot file with validate and pretty format
• 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.

bx_py_utils.text_tools

• cutout() - Mark a point in a long text by line no + column with context lines around.

Notes about snapshot

Quick hint about snapshot. If you have many snapshots in your project and you need to change many with a code change, then you can run the tests without a snapshot change leading to an error, by set RAISE_SNAPSHOT_ERRORS=0 in your environment.

e.g.:

RAISE_SNAPSHOT_ERRORS=0 poetry run pytest
RAISE_SNAPSHOT_ERRORS=0 python3 -m unittest

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!

About us

We’ve been rethinking the listening experience for kids and have created an ecosystem where haptic and listening experience are combined via smart technology - the Toniebox.

We are constantly looking for engineers to join our team in different areas. If you’d be interested in contributing to our platform, have a look at: https://tonies.com/jobs/

Links

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