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-1.6.27.tar.gz (24.6 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-1.6.27-py3-none-any.whl (9.4 kB view details)

Uploaded Python 3

File details

Details for the file pyannotators_patterns-1.6.27.tar.gz.

File metadata

  • Download URL: pyannotators_patterns-1.6.27.tar.gz
  • Upload date:
  • Size: 24.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.2 {"installer":{"name":"uv","version":"0.11.2","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-1.6.27.tar.gz
Algorithm Hash digest
SHA256 8498bf45b383b03ae85d4ff4d42c0bf41fb96bf9708c324192db4b3a9de5633f
MD5 6f19f43cad8c94733c7f63c2a1f3ff8c
BLAKE2b-256 c41e59c595fce6c737ad2a47d7ea352ff74c4391313568499850d329c02c2a0d

See more details on using hashes here.

File details

Details for the file pyannotators_patterns-1.6.27-py3-none-any.whl.

File metadata

  • Download URL: pyannotators_patterns-1.6.27-py3-none-any.whl
  • Upload date:
  • Size: 9.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.2 {"installer":{"name":"uv","version":"0.11.2","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-1.6.27-py3-none-any.whl
Algorithm Hash digest
SHA256 adda21278c0ac3e6e22f8c80616acdd9e5b4640c27691d5d5910389e19455f34
MD5 bc6510d10fb57185b68d7750eb170310
BLAKE2b-256 8fc0dcb1ac44573528c9e9f748a4bfdc0c9ede621fceec1bde37b97143f2bccd

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