Skip to main content

Python package for reporting Juice Coverage Metrics

Project description

Juice Coverage Reporter

1. Getting Started

This Python package provides libs and tools to assess the Juice Coverage reporting metrics, using the outputs provided from different SOC tools (e.g. geopipeline, moon coverage) as inputs.

This tool allows to generate a Coverage report for a given Trajectory (crema)

juice_coverage_reporter -c <path to configuration file>

The output include the report in rst, html and docx format.

1.1 Installation

1.1.1 Prerequisites

  • Python 3.7 or higher.

1.1.2 Setup

1.1.2.1 Package installation

From command line install the following packages using pip:

pip install juice_coverage_reporter

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

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

juice_coverage_reporter-0.0.9-py3-none-any.whl (34.6 kB view details)

Uploaded Python 3

File details

Details for the file juice_coverage_reporter-0.0.9-py3-none-any.whl.

File metadata

File hashes

Hashes for juice_coverage_reporter-0.0.9-py3-none-any.whl
Algorithm Hash digest
SHA256 4d5c31cb2347c472ab71b89fb5ad094d316a29b51f3adaceab13d379849fb967
MD5 f85995142230ff2df273fcfc67471231
BLAKE2b-256 d419c79ef63affc5e805556ba3fb2feec37c27d73f1b2e07972c2cf34e2b37c7

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