Skip to main content

No project description provided

Project description

Lacework Helios cli

Create a Lacework build artifact scan report.

Usage:

Options:

  • --input TEXT: path to Lacework scan results file [required]
  • --output TEXT: [optional] path to store html report. [default: .]
  • --template TEXT: [optional] path to custom html template
  • --help: Show this message and exit.

Usage:

lwh [OPTIONS] COMMAND [ARGS]...

Options:

  • --help Show this message and exit.

Commands:

  • opa Validate Scan Results against OPA policy
  • report Create a Lacework build artifact scan report



Installation

pip install lwh

Custom Reports

If you're interested in customizing the report check out the sample template in the examples folder. lwh cli simply renders the scan results json object to any provided template as {{ scan_result_json }}. You also have access to a python dictionary {{ data }} as a convenience object if using jinja. If using opa integration policy decision is also passed to report as {{result}}. You don't need to use React or Jinja. Feel free to use your existing tool chain.

From here the lacework-razr React components take over. But they don't have to. Feel free to customize or get in touch if you need any changes.

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

lwh-0.0.17.tar.gz (5.2 kB view details)

Uploaded Source

Built Distribution

lwh-0.0.17-py3-none-any.whl (6.0 kB view details)

Uploaded Python 3

File details

Details for the file lwh-0.0.17.tar.gz.

File metadata

  • Download URL: lwh-0.0.17.tar.gz
  • Upload date:
  • Size: 5.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.5 CPython/3.9.2 Darwin/18.7.0

File hashes

Hashes for lwh-0.0.17.tar.gz
Algorithm Hash digest
SHA256 f30b62db4267f4c9c3c5443ad94de0df97e8dce073514d2da9d8bfa17c8957ad
MD5 4771f26b4dde74beda3ed10718cf74b8
BLAKE2b-256 ab6fe3d381cd5844a12866f3b8e46ec47ff69b70192e0717fa100fbf4d8327bb

See more details on using hashes here.

File details

Details for the file lwh-0.0.17-py3-none-any.whl.

File metadata

  • Download URL: lwh-0.0.17-py3-none-any.whl
  • Upload date:
  • Size: 6.0 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.5 CPython/3.9.2 Darwin/18.7.0

File hashes

Hashes for lwh-0.0.17-py3-none-any.whl
Algorithm Hash digest
SHA256 2b62902fb04a269a9fd962913ed41e4138029ea274670ee736576b8fae956783
MD5 708e88fd7ec0a2292feaf7351b9a3c7c
BLAKE2b-256 301556e7c6f502613816380239d4d86c4677f3bdce1dbbcc652bf781a22039b7

See more details on using hashes here.

Supported by

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