Use percentiles for duration panels

[cbartz]

Applicable spec: n/a

Overview

Use percentiles instead of min,avg,max.

Rationale

Percentiles are generally more useful for monitoring because they provide a more nuanced view of performance by dividing data into segments based on their distribution.

Juju Events Changes

Module Changes

Library Changes

Checklist

• The charm style guide was applied
• The contributing guide was applied
• The changes are compliant with ISD054 - Managing Charm Complexity
• The documentation is generated using src-docs
• The documentation for charmhub is updated.
• The PR is tagged with appropriate label (urgent, trivial, complex)

[arturo-seijas]

LGTM, although plotting the distribution might lead to a better experience

[github-actions]

Test coverage for 402e879

Name                         Stmts   Miss Branch BrPart  Cover   Missing
------------------------------------------------------------------------
src/charm.py                   433     98    107     25    75%   79-80, 86-88, 112-113, 117-119, 155-157, 168->180, 178, 221-229, 241-245, 276, 356-361, 384, 401-402, 411-434, 452-454, 462-465, 472, 475-476, 492, 496-501, 546->549, 562-563, 565-566, 600-607, 631-632, 644-646, 661-662, 690-691, 693-694, 696-697, 771->773, 834-835, 851, 869-871, 875
src/charm_state.py              75      6     10      0    91%   90-97
src/errors.py                   37      0      0      0   100%
src/event_timer.py              42      8      4      0    74%   94-97, 117-120
src/firewall.py                 43     25     10      0    38%   38-42, 64-67, 75-149
src/github_client.py            68      6     32      3    87%   124, 146, 158-165, 183->216
src/github_metrics.py           14      0      0      0   100%
src/github_type.py              50      0      0      0   100%
src/lxd_type.py                 37      0      2      0   100%
src/metrics.py                  73      2     10      1    96%   61->64, 170-171
src/metrics_type.py              6      0      0      0   100%
src/runner.py                  320     70     96     24    73%   44->46, 125, 252-253, 294-303, 327-332, 337, 357, 361-371, 420->423, 426-428, 435, 449, 459, 463, 465, 480, 506-511, 527-540, 551-590, 595, 633, 679-681, 685, 703, 738, 764, 769-781, 795, 800->802, 805-807
src/runner_logs.py              32      4      6      2    84%   33-36, 56->55, 60-61
src/runner_manager.py          268     42     90      8    83%   122, 167-169, 182-183, 195-197, 203-208, 212-213, 223-224, 243, 321-323, 388, 407-411, 436, 488, 522, 628-641, 651, 656-667
src/runner_manager_type.py      33      0      6      0   100%
src/runner_metrics.py          123      8     20      2    93%   147-148, 160, 191-192, 307-311
src/runner_type.py              45      0     10      0   100%
src/shared_fs.py                80     10     12      0    89%   73-74, 160-161, 166-167, 173-174, 196-197
src/utilities.py                68      6     20      8    84%   74->76, 78->84, 89-91, 121, 135, 173, 226
------------------------------------------------------------------------
TOTAL                         1847    285    435     73    82%

Static code analysis report

Run started:2024-01-10 18:45:45.656170

Test results:
  No issues identified.

Code scanned:
  Total lines of code: 4063
  Total lines skipped (#nosec): 0
  Total potential issues skipped due to specifically being disabled (e.g., #nosec BXXX): 12

Run metrics:
  Total issues (by severity):
  	Undefined: 0
  	Low: 0
  	Medium: 0
  	High: 0
  Total issues (by confidence):
  	Undefined: 0
  	Low: 0
  	Medium: 0
  	High: 0
Files skipped (0):