This is a simple python application to log in to various mesh device databases (currently UISP, UniFi, and uFiber), collect information on which devices are in an unhealthy state, print a report, and optionally upload it to slack:
> mesh-support-report
**Outage Report - Tuesday, March 21, 2023 @ 18:17**
UISP - Currently In Outage (new last 7 days)
...
UNIFI - Currently In Outage (new last 7 days)
-- None --
UFIBER - Currently In Outage
...
UFIBER - Poor Signal (< -30 dBm)
...
UFIBER - Poor Experience (< 100%)
...
Posting to slack...
Posted to https://app.slack.com/client/xxxx/yyyy
Pre-requisites: python3
available via the shell
Setup by cloning, creating a virtual env, and installing the application
git clone https://github.com/nycmeshnet/support-report-generator
cd support-report-generator
python3 -m venv .venv
source .venv/bin/activate
pip install -e .
Next, create a .env
file and fill out the variables
cp .env_example .env
nano .env
then invoke the tool with the CLI command:
mesh-support-report
Follow the instructions under "Usage" above, to clone a local copy of this application and activate the virtual environment. Then installing the test dependencies with:
pip install -e ".[test]"
Finally, invoke the test suite using pytest:
pytest test/
This package is set up to be easily run via AWS Lambda. Create
a ZIP build using the bin/build.sh
script
source .venv/bin/activate
bin/build.sh
ls build/Lambda.zip # Created by the build script
The build/Lambda.zip
should be immediately ready to upload to AWS Lambda. Set the handler to
mesh_support_report_generator.lambda_handler.lambda_handler
. Note that the AWS Lambda function will need
to run in an AWS VPC that has mesh IP-space access in order to function properly. The Lambda
See https://github.com/Andrew-Dickinson/nyc-mesh-aws-vpn-cdk for help with setting that up.
Distributed under the MIT License. See LICENSE.txt
for more information.
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request