Skip to main content

Python package for reporting Juice Trajectory Assessment

Project description

Juice Trajectory Assessment

1. Getting Started

This Python package provides libs and tools for to assess the Juice Trajectory reporting metrics using as inputs the output provided from different SOC tools. (eps_wrapper, geopipeline, moon coverage)

The following tools are being provided:

  • juice_trajectory_assessment: reporting metrics using as inputs the output provided from different SOC tools. (osve_wrapper/eps_wrapper, geopipeline, moon coverage)
  • juice_trajectory_assessment_comparison: generating a comparison report between 2 trajectories (Crema)
  • juice_trajectory_assessment_rst2pdf: a simple tool allowing to update the report.rst and re-generate the corresponding pdf.

1.1 Tool Details

1.1.1 juice_trajectory_assessment

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

juice_trajectory_assessment -c <path to configuration file>

the output include the report in rst, pfg and html format

1.1.2 juice_trajectory_assessment_comparison

This tool allows to generate a Trajectory Assessment Comparison report comparing 2 trajectories (Crema)

juice_trajectory_assessment_comparison -c <path to configuration file>

the output include the report in rst, pfg and html format

1.1.3 juice_trajectory_assessment_rst2pdf

This tool allow to refine the pdf report if needed. For instance add a note.

juice_trajectory_assessment_rst2pdf <path_to_rst_report>

The output is the corresponding pdf

1.2 Installation

1.2.1 Prerequisites

  • Python 3.7 or higher.

1.2.2 Setup

1.2.2.1 Package installation

From command line install the following packages using pip:

pip install juice_trajectory_assessment

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

File details

Details for the file juice_trajectory_assessment-0.6.1-py3-none-any.whl.

File metadata

File hashes

Hashes for juice_trajectory_assessment-0.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 af3a78a0276b322dcae6d9d46d68fd3246f8ed0466ede43be80a00d06c37e587
MD5 6cddf91ec29645bcda3f657d7f514036
BLAKE2b-256 fca4a094437d62ddeaef898029331640eb9541b2c542a79f7d7f97ea5344cc60

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