Files
cozystack/hack/check-gpu-recording-rules.bats
Myasnikov Daniil cc942fed68 test(tests): run unit suites with Bats and retain POSIX coverage
The shell translator rewrites test bodies and loses Bats reporting.
The unit lane needs complete TAP results and JUnit reports without
changing how live-cluster suites run.

Sourced production helpers still need a dash pass, and unit test bodies
need nounset without exporting shell options into subprocesses.

Assisted-by: LLM
Signed-off-by: Myasnikov Daniil <myasnikovdaniil2001@gmail.com>
2026-10-07 11:04:00 +03:00

209 lines
8.5 KiB
Bash

#!/usr/bin/env bats
# -----------------------------------------------------------------------------
# Cross-validation between GPU recording rules, the dashboards that consume
# them, and the DCGM Exporter metric set the cluster actually scrapes. Catches:
#
# 1. dangling references — a dashboard query mentions a recording rule name
# that doesn't exist in gpu-recording.rules.yaml. This is the bug the
# pre-merge review caught: gpu-efficiency.json shipped panels keyed on
# pod:tensor_saturation:avg5m without the rule being defined, so the
# panel showed "No data" everywhere.
#
# 2. typos in rule names — same bug class, manifested as a single-character
# difference between rule and reference.
#
# 3. undeclared DCGM metrics — a dashboard query or recording rule mentions
# a DCGM_FI_* metric that is neither in the upstream default CSV nor in
# the project's custom CSV (dcgm-custom-metrics.yaml), meaning DCGM
# Exporter would never emit it and the panel silently shows "No data".
# Example regression: gpu-fleet.json shipped a TDP panel referencing
# DCGM_FI_DEV_POWER_MGMT_LIMIT before the custom CSV declared it.
#
# Scope: only dashboards listed in packages/system/monitoring/dashboards-infra.list
# under the "gpu/" prefix (i.e. shipped to production), not every JSON file in
# dashboards/gpu/. Untracked drafts stay out of scope on purpose — adding one
# to dashboards-infra.list is what brings it under the test.
#
# Reverse direction (rule defined but never consumed) is intentionally NOT
# enforced: some rules exist for ad-hoc PromQL or upcoming dashboards. Treat
# unused rules as an editorial concern, not a regression.
#
# Title syntax constraints from cozytest.sh's awk parser:
# - Titles delimited by ASCII double quotes; embedded quotes truncate.
# - Only [A-Za-z0-9] from the title survives into the function name; titles
# differing only in punctuation collapse to the same function.
#
# Run with: bats hack/check-gpu-recording-rules.bats
# -----------------------------------------------------------------------------
load test_helper
REPO_ROOT="$(cd "$(dirname "${BATS_TEST_FILENAME:-$0}")/.." && pwd)"
RULES_FILE="$REPO_ROOT/packages/system/monitoring-agents/alerts/gpu-recording.rules.yaml"
DASHBOARDS_LIST="$REPO_ROOT/packages/system/monitoring/dashboards-infra.list"
DASHBOARDS_DIR="$REPO_ROOT/dashboards"
DCGM_DEFAULT_CSV="$REPO_ROOT/hack/dcgm-default-counters.csv"
DCGM_CUSTOM_CSV="$REPO_ROOT/packages/system/gpu-operator/examples/dcgm-custom-metrics.yaml"
# Extract the set of "- record: NAME" entries from the rules YAML.
# Outputs one rule name per line, sorted and deduplicated.
extract_rules() {
awk '/^[[:space:]]*-[[:space:]]*record:[[:space:]]/ {
sub(/^[[:space:]]*-[[:space:]]*record:[[:space:]]*/, "")
sub(/[[:space:]]*$/, "")
print
}' "$RULES_FILE" | sort -u
}
# Extract the set of recording-rule references from a dashboard JSON.
# A recording-rule reference is matched by the pattern
# <segment>:<segment>(:<segment>)+
# where each <segment> is [a-z0-9_]. Raw DCGM metrics (DCGM_FI_*),
# kube-state-metrics (kube_*) and similar uppercase / single-word metric
# names do not match because the leading segment must be lowercase and the
# whole expression must contain at least two ':' characters.
extract_refs() {
json_file=$1
# Prometheus convention allows 2-segment rule names (level:metric); this
# regex is tuned to the 3+ segment convention used in this repo
# (level:metric:op — e.g. cluster:gpu_count:total). Update if future
# rules use 2 segments, otherwise they will be silently skipped.
grep -hoE '[a-z][a-z0-9_]*:[a-z0-9_]+:[a-z0-9_]+' "$json_file" | sort -u
}
# Resolve "gpu/foo" -> "$DASHBOARDS_DIR/gpu/foo.json"
list_tracked_gpu_dashboards() {
awk '/^gpu\// { print $0 ".json" }' "$DASHBOARDS_LIST"
}
# Extract the set of DCGM_FI_* metric names declared in a CSV file. Handles
# both the upstream-style default CSV (unindented) and the ConfigMap-style
# custom CSV (YAML-indented). A declaration line starts — after any leading
# whitespace — with "DCGM_FI_<NAME>," ; comment lines begin with "#" and are
# skipped. Uses POSIX awk's match()+RSTART/RLENGTH so no GNU extensions
# are required.
extract_csv_metrics() {
file=$1
awk '
{
line = $0
sub(/^[[:space:]]+/, "", line)
if (line ~ /^#/) next
if (match(line, /^DCGM_FI_[A-Z0-9_]+/)) {
print substr(line, RSTART, RLENGTH)
}
}
' "$file" | sort -u
}
# Extract the set of DCGM_FI_* metric references from a text file (dashboard
# JSON or rules YAML). A DCGM metric name has at least two underscore-delimited
# segments after the "DCGM_FI_" prefix (e.g. DCGM_FI_DEV_GPU_UTIL, DCGM_FI_PROF_
# PIPE_TENSOR_ACTIVE, DCGM_FI_DRIVER_VERSION). Requiring two segments keeps
# the matcher from latching onto glob stubs like "DCGM_FI_DEV_*_VIOLATION" that
# appear in comments.
extract_dcgm_refs() {
file=$1
grep -hoE 'DCGM_FI_[A-Z0-9]+(_[A-Z0-9]+)+' "$file" | sort -u
}
@test "every recording rule reference in tracked GPU dashboards has a matching record" {
TMP=$(mktemp -d)
extract_rules > "$TMP/rules.txt"
[ -s "$TMP/rules.txt" ] || { echo "no recording rules extracted from $RULES_FILE" >&2; exit 1; }
list_tracked_gpu_dashboards > "$TMP/dashboards.txt"
[ -s "$TMP/dashboards.txt" ] || { echo "no gpu/* dashboards listed in $DASHBOARDS_LIST" >&2; exit 1; }
failed=0
while IFS= read -r dashboard_rel; do
dashboard="$DASHBOARDS_DIR/$dashboard_rel"
if [ ! -f "$dashboard" ]; then
echo "ERROR: dashboard listed but file missing: $dashboard" >&2
failed=1
continue
fi
extract_refs "$dashboard" > "$TMP/refs.txt"
# comm -23: lines unique to refs.txt (referenced but not defined)
# Both inputs must be sorted; extract_* helpers already sort.
comm -23 "$TMP/refs.txt" "$TMP/rules.txt" > "$TMP/missing.txt"
if [ -s "$TMP/missing.txt" ]; then
echo "ERROR: $dashboard_rel references undefined recording rules:" >&2
sed 's/^/ - /' "$TMP/missing.txt" >&2
failed=1
fi
done < "$TMP/dashboards.txt"
[ "$failed" -eq 0 ]
rm -rf "$TMP"
}
@test "every DCGM metric referenced in tracked dashboards and rules is declared" {
TMP=$(mktemp -d)
[ -f "$DCGM_DEFAULT_CSV" ] || { echo "missing $DCGM_DEFAULT_CSV" >&2; exit 1; }
[ -f "$DCGM_CUSTOM_CSV" ] || { echo "missing $DCGM_CUSTOM_CSV" >&2; exit 1; }
{
extract_csv_metrics "$DCGM_DEFAULT_CSV"
extract_csv_metrics "$DCGM_CUSTOM_CSV"
} | sort -u > "$TMP/declared.txt"
[ -s "$TMP/declared.txt" ] || { echo "no DCGM metrics extracted from CSVs" >&2; exit 1; }
list_tracked_gpu_dashboards > "$TMP/dashboards.txt"
[ -s "$TMP/dashboards.txt" ] || { echo "no gpu/* dashboards listed in $DASHBOARDS_LIST" >&2; exit 1; }
failed=0
# Dashboard coverage — every dashboard's DCGM references must resolve.
while IFS= read -r dashboard_rel; do
dashboard="$DASHBOARDS_DIR/$dashboard_rel"
[ -f "$dashboard" ] || continue # handled by the existence test
extract_dcgm_refs "$dashboard" > "$TMP/refs.txt"
[ -s "$TMP/refs.txt" ] || continue # dashboard relies entirely on recording rules
comm -23 "$TMP/refs.txt" "$TMP/declared.txt" > "$TMP/missing.txt"
if [ -s "$TMP/missing.txt" ]; then
echo "ERROR: $dashboard_rel references DCGM metrics not declared in any CSV:" >&2
sed 's/^/ - /' "$TMP/missing.txt" >&2
failed=1
fi
done < "$TMP/dashboards.txt"
# Rules coverage — recording rules consume DCGM directly, so their set
# must be declared too, otherwise derived series on every dashboard
# collapse to empty.
extract_dcgm_refs "$RULES_FILE" > "$TMP/rule-refs.txt"
if [ -s "$TMP/rule-refs.txt" ]; then
comm -23 "$TMP/rule-refs.txt" "$TMP/declared.txt" > "$TMP/rule-missing.txt"
if [ -s "$TMP/rule-missing.txt" ]; then
echo "ERROR: gpu-recording.rules.yaml references DCGM metrics not declared in any CSV:" >&2
sed 's/^/ - /' "$TMP/rule-missing.txt" >&2
failed=1
fi
fi
[ "$failed" -eq 0 ]
rm -rf "$TMP"
}
@test "every tracked GPU dashboard listed in dashboards-infra.list exists on disk" {
TMP=$(mktemp -d)
list_tracked_gpu_dashboards > "$TMP/dashboards.txt"
[ -s "$TMP/dashboards.txt" ] || { echo "no gpu/* dashboards listed in $DASHBOARDS_LIST" >&2; exit 1; }
failed=0
while IFS= read -r dashboard_rel; do
dashboard="$DASHBOARDS_DIR/$dashboard_rel"
if [ ! -f "$dashboard" ]; then
echo "ERROR: $dashboard_rel listed in dashboards-infra.list but $dashboard does not exist" >&2
failed=1
fi
done < "$TMP/dashboards.txt"
[ "$failed" -eq 0 ]
rm -rf "$TMP"
}