Skip to main content

Sherpa CSV/Excel/TXT knowledge import plugin

Project description

Requirements

  • Python 3.6+
  • Pydantic for the data parts.
  • Pandas for the parsing parts.

Installation

pip install pyimporters-csv

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


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pyimporters_csv-1.8.61.tar.gz (3.7 kB view details)

Uploaded Source

Built Distribution

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

pyimporters_csv-1.8.61-py3-none-any.whl (6.1 kB view details)

Uploaded Python 3

File details

Details for the file pyimporters_csv-1.8.61.tar.gz.

File metadata

  • Download URL: pyimporters_csv-1.8.61.tar.gz
  • Upload date:
  • Size: 3.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.8 {"installer":{"name":"uv","version":"0.11.8","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 pyimporters_csv-1.8.61.tar.gz
Algorithm Hash digest
SHA256 2a852517c765c97c0ee8998f0a84603219dfcb9212f921dce5e0e71007a72579
MD5 c3740bb913d10e61c7eafbf22824571a
BLAKE2b-256 da7b4e2facbc73a8c9f4487afe217567250ec1916dab8431fefef7d4469e59e5

See more details on using hashes here.

File details

Details for the file pyimporters_csv-1.8.61-py3-none-any.whl.

File metadata

  • Download URL: pyimporters_csv-1.8.61-py3-none-any.whl
  • Upload date:
  • Size: 6.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.11.8 {"installer":{"name":"uv","version":"0.11.8","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 pyimporters_csv-1.8.61-py3-none-any.whl
Algorithm Hash digest
SHA256 72b2656af421a6ae9f1095b2dd429095f33e119e4274d832911df435a97634e5
MD5 98ddb65c79c10f451b7676c5de1583cc
BLAKE2b-256 7161a1db1ca7c28f87a1728f0e475c4b4ea5ca270a1c2bf47ba869d77beff937

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