Simple script to read and group PagerDuty Incidents
Add a Pagerduty API key to ~/.pd.toml or use flag --key='<your key>'
A config file can be provided at ~/.pd.toml
Format is:
#Required
[pagerduty]
api_token="xxxyyyzzzaaabbbccc"
#Optional
[confluence]
user_email="bob@example.com"
api_token="<your Confluence key>"
space_key="<The Confluence Space key where you want to create documents>"
./pd.py -h
--help (-h) Show this help message
--teams (-t) Pagerduty Team IDs, comma separated
--services (-s) Pagerduty Service IDs, comma separated
--logs (-l) Read log entries for each incident
--notes (-n) Read notes for each incident
--key (-k) PagerDuty API key - defaults to looking for a ~/.pd.toml file
--csv (-c) Output as csv
--group (-g) Group by field, e.g. --group="description"
--fuzz (-z) Fuzz matching on grouping
--fuzz-score (-m) Fuzz matching threshold - default is 90%
--full (-f) Full descriptions, default is to shorten
--debug (-x) Debug output
--report (-r) Output full report
--confluence (-w) Create a page in Confluence with the results [Not implemented]
Show incidents for a team and service.
./pd --teams=PXXXXX --services=P2APAXX 2022-10-25
'Full' report on a couple of teams/services. Parse the logs for acknowledger names, full descriptions in output, fuzzy match descriptions when grouping
./pd -t PXXXXX,PXXXXY -s P2APAXX,P2APAXY --report -l -f -z 2023-03-2
[Super simple implementation] create a doc in Confluence with grouped incidents
./pd -t PXXXXX --format=confluence -l -f -z --group="Description" 2023-03-08