Pagerduty CLI for Humans
Project description
PDH - PagerDuty CLI for humans
PDH
is a new lightweight CLI for pagerduty interaction: uou can handle your incidents triage without leaving your terminal.
It also add some nice tricks to automate the incident triage and easy the on-call burden.
See docs (TBD)
Install
Nix
If you are using cachix you can use the prebuilt packages:
cachix use pdh
nix shell github:mbovo/pdh
Arch linux
yay -S pdh
With docker
docker run -ti -v ~/.config/pdh.yaml:/root/.config/pdh.yaml --rm pdh:0.3.10 inc ls
With pip
pip install pdh>=0.3.10
From source with nix and direnv
git clone https://github.com/mbovo/pdh
direnv allow pdh
cd pdh
pdh inc ls -e
From source with devbox
git clone https://github.com/mbovo/pdh
direnv allow pdh
cd pdh
pdh inc ls -e
From source
git clone https://github.com/mbovo/pdh
cd pdh
task setup
source .venv/bin/activate
pdh inc ls -e
Usage
First of all you need to configure pdh
to talk with PagerDuty's APIs:
pdh config
The wizard will prompt you for 3 settings:
apikey
is the API key, you can generate it from the user's profile page on pagerduty websiteemail
the email address of your pagerduty profileuid
the userID of your account (you can read it from the browser address bar when clicking on "My Profile")
Settings are persisted to ~/.config/pdh.yaml
in clear.
Listing incidents
Assigned to self:
pdh inc ls
Any other incident currently outstanding:
pdh inc ls -e
Sorting incident by field
pdh inc ls --sort assignee --reverse
In case the field is not found the cli will notice you and print the list of available fields
pdh inc ls -e --sort unkn --reverse
Invalid sort field: unkn
Available fields: id, assignee, title, status, created_at, last_status_change_at, url
You can always sort by multiple fields using comma as separator:
pdh inc ls --sort assignee,status
Auto ACK incoming incidents
Watch for new incidents every 10s and automatically set them to Acknowledged
pdh inc ls --watch --new --ack --timeout 10
List all HIGH priority incidents periodically
List incidents asssigned to all users every 5s
pdh inc ls --high --everything --watch --timeout 5
Resolve specific incidents
pdh inc resolve INCID0001 INCID0024 INCID0023
Resolve all incidents related to Backups
pdh inc ls --resolve --regexp ".*Backup.*"
Rules
PDH
support custom scripting applied to your incidents list. These rules
are in fact any type of executable you can run on your machine.
pdh inc apply INCID001 -s /path/to/my/script.py -s /path/to/binary
The apply
subcommand will call the listed executable/script passing along a json to stdin with the incident informations. The called script can apply any type of checks/sideffects and output another json to stout to answer the call.
Even though rules can be written in any language it's very straightforward using python:
Rules: an example
An example rule can be written in python with the following lines
#!/usr/bin/env python3
from pdh import rules, Filter
@rules.rule
def main(input):
return {i["id"]: i["summary"] for i in input}
if __name__ == "__main__":
main()
This is the simplest rule you can write, reading the input and simply output a new dictionary with the entries. It will output something like:
pdh inc apply Q1LNI5LNM7RZ2C Q1C5KG41H0SZAM -s ./a.py
┏━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┓
┃ script ┃ Q1LNI5LNM7RZ2C ┃ Q1C5KG41H0SZAM ┃
┡━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┩
│ ./a.py │ AWS Health Event: us-east-1 EC2 : AWS_EC2_INSTANCE_STOP_SCHEDULED │ AWS Health Event: us-east-1 EC2 : AWS_EC2_INSTANCE_STORE_DRIVE_PERFORMANCE_DEGRADED │
└────────┴────────────────────────────────────────────────────────────────────┴──────────────────────────────────────────────────────────────────────────────────────┘
The default output is table
with one line for each script runned and with one column per each element in the returned object
Rules: more examples
#!/usr/bin/env python3
# Needed imports
from pdh import rules, Filter
# This annotation make the main() method parse stdin as json into the parameter called input
# All returned values are converted to json and printed to stdout
@rules.rule
def main(input):
# Initialize PagerDuty's APIs
api = rules.api()
# From the given input extract only incidents with the word cassandra in title
incs = Filter.objects(input, filters=[Filter.regexp("title", ".*EC2.*")])
# ackwnoledge all previously filtered incidents
api.ack(incs)
# resolve all previously filtered incidents
api.resolve(incs)
# snooze all previously filtered incidents for 1h
api.snooze(incs, duration=3600)
# Chain a given rule, i.e call that rule with the output of this one
# chain-loading supports only a single binary, not directories
c = rules.chain(incs, "rules/test_chaining.sh")
# Execute an external program and get the output/err/return code
p: rules.ShellResponse = rules.exec('kubectl get nodes -o name')
if p.rc > 0:
nodes = p.stdout.split("\n")
# if you return a dict will be rendered with each item as a column in a table
# Othrwise will be converted as string
return {i["id"]: i["summary"] for i in incs}
if __name__ == "__main__":
main()
Requirements
- Taskfile
- Python >=3.10
- Docker
Contributing
First of all you need to setup the dev environment, using Taskfile:
task setup
This will create a python virtualenv and install pre-commit
and poetry
in your system if you lack them.
License
This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. See for more details.
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