ed7a5849be
- min required OSNR - min propagated GSNR - PDL, PMD, CD penalties This enables user to diagnose the case whan GSNR is OK but path is failing change the test_parser: - keep the testTopology_response.json file as it is as input file for test_csv_response_generation so that previous json exports are still tested. - use a new testTopology_response_expected.json to check the actual json generation with the additionnal informations - add a 'fake response.json file with various types of response to better test the jsontocsv function Add more info in the logger for the case of no_ feasible_mode and add a test for this case. refactor a bit the functions Signed-off-by: EstherLerouzic <esther.lerouzic@orange.com> Change-Id: I92105f58adb7303f3d1475e4b21bd3e36e227090
GNPy: Optical Route Planning and DWDM Network Optimization
GNPy is an open-source, community-developed library for building route planning and optimization tools in real-world mesh optical networks. We are a consortium of operators, vendors, and academic researchers sponsored via the Telecom Infra Project's OOPT/PSE working group. Together, we are building this tool for rapid development of production-grade route planning tools which is easily extensible to include custom network elements and performant to the scale of real-world mesh optical networks.
Quick Start
Install either via Docker, or as a Python package. Read our documentation, learn from the demos, and get in touch with us.
This example demonstrates how GNPy can be used to check the expected SNR at the end of the line by varying the channel input power:
GNPy can do much more, including acting as a Path Computation Engine, tracking bandwidth requests, or advising the SDN controller about a best possible path through a large DWDM network.
Learn more about this in the documentation, or give it a try online at gnpy.app:
Project Calendar
See upcoming meetings on the Project Calendar. The calendar is embedded from Google Calendar and updates automatically.