Crates.io | trk |
lib.rs | trk |
version | 0.2.0 |
source | src |
created_at | 2019-01-22 13:31:56.318332 |
updated_at | 2019-01-22 13:31:56.318332 |
description | Simple terminal-based time-series data recorder and plotter. |
homepage | |
repository | https://github.com/ccakes/trk |
max_upload_size | |
id | 110011 |
size | 1,209,196 |
Really, really simple terminal-based time-series data recorder and plotter.
I have quite a few scripts which inject data into off-the-shelf apps, generate reports, compare data in various systems and more. All the usual fun things you do when you're working with a pile of legacy infrastructure (and cleaning it up).
This helps me track how many issues there are over time and quickly and easily identify when large changes happen.
# Add a new series with specific units
$ trk add-series -n inv.req.time -u ms
$ trk add-series -n devices.alive
# Or interactively
$ trk add-series
Series Name: services.provisioned
Input Unit (eg ms, bps): svc
Created services.valid
# Then add some data points
$ trk add -s inv.req.time 9
$ trk add -s inv.req.time 8
$ trk add -s inv.req.time 9
# Or via the bulk command (for integrating with scripts)
$ cat <<EOL > points.txt
inv.req.time=3
devices.alive=42
services.provisioned=100
EOL
$ cat points.txt | trk bulk
# You can always use -c to auto-create the series if you don't want to pre-populate
$ trk add -c -s new.series 20
# trk stores files in $HOME/.trk by default, customise this if desired
$ trk -d ~/my-metrics bulk -c < points.txt
# Or use different data files to keep things separate
$ trk -f app1 add -c -s metric.a 33
$ trk -f app2 add -c -s metric.a 983
# And then plot the output (see screenshots below, the braille text doesn't space correctly here)
$ trk plot -s inv.req.time
# If you want the detail, add a table to
$ trk plot -s inv.req.time -t
# Or if you're not sure what you've been plotting, don't specify a series and use the interactive list
$ trk plot
Send a PR.
I'm fairly new using Rust so I expect that there's a lot which could be fixed. Things which are at the top of my (low-priority) todo list:
See LICENSE file.
Code under src/textplots
is MIT licensed but (C) Alexey Suslov