Skip to main content

Annotator based on Presidio pattern recognizer

Project description

pyannotators_patterns

license tests codecov docs version PyPI - Python Version

Annotator based on Presidio regex pattern recognizers.

Installation

pip install pyannotators-patterns

Developing

Prerequisites

You will need uv (package manager) and Python 3.12+.

Clone the repository:

git clone https://github.com/oterrier/pyannotators_patterns
cd pyannotators_patterns

Install dependencies (including test extras):

uv sync --extra test

Running the test suite

uv run pytest

Linting and formatting

uv run ruff check .
uv run ruff format --check .

To auto-fix formatting:

uv run ruff format .

Building the documentation

uv run --extra docs sphinx-build docs docs/_build

The built documentation is available at docs/_build/index.html.

SBOM & vulnerability check

Install the SBOM dependencies:

uv sync --extra sbom

Generate a CycloneDX SBOM from the current environment:

uv run cyclonedx-py environment -o sbom.cdx.json --output-format json

Audit dependencies for known vulnerabilities:

uv run pip-audit --format json --output audit-report.json

To fail on any known vulnerability (useful in CI):

uv run pip-audit --strict

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

pyannotators_patterns-1.8.39.tar.gz (9.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pyannotators_patterns-1.8.39-py3-none-any.whl (9.4 kB view details)

Uploaded Python 3

File details

Details for the file pyannotators_patterns-1.8.39.tar.gz.

File metadata

  • Download URL: pyannotators_patterns-1.8.39.tar.gz
  • Upload date:
  • Size: 9.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.10 {"installer":{"name":"uv","version":"0.11.10","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"12","id":"bookworm","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for pyannotators_patterns-1.8.39.tar.gz
Algorithm Hash digest
SHA256 cbbeb92912775a831d0192e9aff6d1bed3fd807638be5a9d76565595d4b0a6ce
MD5 ab911c4e40b928a9497459af11f0783a
BLAKE2b-256 6b690aea4d6e374d5537aaa5062486ebffc98806b03af7d253d1828c75483260

See more details on using hashes here.

File details

Details for the file pyannotators_patterns-1.8.39-py3-none-any.whl.

File metadata

  • Download URL: pyannotators_patterns-1.8.39-py3-none-any.whl
  • Upload date:
  • Size: 9.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.10 {"installer":{"name":"uv","version":"0.11.10","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"12","id":"bookworm","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}

File hashes

Hashes for pyannotators_patterns-1.8.39-py3-none-any.whl
Algorithm Hash digest
SHA256 7acba14a9f6a34b44a01c2b1ccb441e53efac4e17f00f266246088021a8443c6
MD5 1dfbbead767f9c00fdf4a4a30722c13a
BLAKE2b-256 f6b97db58e3740bc16ad12ee409577bbea253106c9f8c68047683dff77dd647f

See more details on using hashes here.

Supported by

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