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cc-ci-orchestrator/.claude/skills/ci-test-review/run-all-recipes.sh
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#!/usr/bin/env bash
# ci-test-review :: deterministic sweep (NO AI)
# -------------------------------------------------------------------------
# Runs the real cc-ci harness (runner/run_recipe_ci.py) across all enrolled
# recipes on the cc-ci VM, full suite per recipe, and emits:
# - a per-recipe status table to stdout
# - a machine-readable JSON summary to $OUT (default /srv/cc-ci/.cc-ci-logs/)
# Full per-recipe logs are kept ON cc-ci under /root/cc-ci-review-logs/<runid>/
# so the AI diagnosis step can read them via `ssh cc-ci`.
#
# This script makes NO pass/fail judgement of its own — it records the
# harness's exit code (0=green, 1=fail) and its RUN SUMMARY block verbatim.
# AI diagnosis/classification happens AFTER, per SKILL.md.
#
# Env knobs (all optional):
# RECIPES="ghost n8n" limit to these recipes (default: all enrolled)
# STAGES="install" pass through to harness (default: full suite)
# QUICK=1 add --quick fast lane (default: cold/authoritative)
# SSH=cc-ci ssh host alias (default: cc-ci)
# OUT=/path/dir local dir for the JSON summary (default .cc-ci-logs)
set -o errexit -o nounset -o pipefail
SSH="${SSH:-cc-ci}"
OUT="${OUT:-/srv/cc-ci/.cc-ci-logs}"
RUNID="$(date -u +%Y%m%dT%H%M%SZ)"
REMOTE_LOGDIR="/root/cc-ci-review-logs/${RUNID}"
SUMMARY="${OUT}/ci-test-review-${RUNID}.json"
mkdir -p "$OUT"
resolve_remote_root() {
ssh "$SSH" "for d in '${REMOTE_ROOT:-/root/builder-clone}' /root/cc-ci; do [ -d \"\$d/tests\" ] && [ -f \"\$d/runner/run_recipe_ci.py\" ] && { printf '%s' \"\$d\"; exit 0; }; done; exit 1"
}
quick_flag=""; [ "${QUICK:-0}" = "1" ] && quick_flag="--quick"
stages_env=""; [ -n "${STAGES:-}" ] && stages_env="STAGES='${STAGES}'"
REMOTE_WORKTREE="$(resolve_remote_root)" || {
echo "ERROR: could not locate remote cc-ci checkout (tried ${REMOTE_ROOT:-/root/builder-clone} and /root/cc-ci)" >&2
exit 1
}
echo "ci-test-review sweep ${RUNID} (host=${SSH} root=${REMOTE_WORKTREE} quick=${QUICK:-0} stages=${STAGES:-all})" >&2
# 1. Enumerate enrolled recipes (tests/<recipe>/ dirs, minus harness scaffolding).
if [ -n "${RECIPES:-}" ]; then
recipes="$RECIPES"
else
recipes="$(ssh "$SSH" "cd '${REMOTE_WORKTREE}/tests' 2>/dev/null && ls -d */ 2>/dev/null" \
| sed 's#/##' | grep -vE '^(_generic|unit|__pycache__)$' || true)"
fi
[ -n "$recipes" ] || { echo "no enrolled recipes found" >&2; exit 1; }
echo "recipes: $(echo $recipes | tr '\n' ' ')" >&2
ssh "$SSH" "mkdir -p '$REMOTE_LOGDIR'"
# 2. Run the harness per recipe (deterministic). Capture exit code + RUN SUMMARY + version.
printf '%-18s %-7s %s\n' "RECIPE" "VERDICT" "TIERS (from harness RUN SUMMARY)"
printf '%-18s %-7s %s\n' "------" "-------" "--------------------------------"
json_items=""
for r in $recipes; do
log="${REMOTE_LOGDIR}/${r}.log"
# Real harness invocation (real abra inside). Tee full log on cc-ci; capture rc.
rc=0
ssh "$SSH" "cd '${REMOTE_WORKTREE}' && ${stages_env} RECIPE='${r}' cc-ci-run runner/run_recipe_ci.py ${quick_flag} >'${log}' 2>&1" || rc=$?
# Pull back the RUN SUMMARY block + the abra-checked-out recipe version, if recorded.
summary_block="$(ssh "$SSH" "awk '/===== RUN SUMMARY =====/{f=1} f{print}' '${log}' 2>/dev/null | sed 's/^/ /'" )"
tiers="$(ssh "$SSH" "awk '/===== RUN SUMMARY =====/{f=1} f&&/^ (install|upgrade|backup|restore|custom)/{gsub(/^ /,\"\");print}' '${log}' 2>/dev/null" | tr '\n' ';')"
version="$(ssh "$SSH" "grep -oE 'checked out [^ ]+ at [^ ]+|recipe version[: ]+[^ ]+|VERSION=[^ ]+' '${log}' 2>/dev/null | head -1" || true)"
verdict=GREEN; [ "$rc" = "0" ] || verdict=FAIL
printf '%-18s %-7s %s\n' "$r" "$verdict" "${tiers:-<no summary — see log>}"
# accumulate JSON (escape quotes/newlines minimally)
esc_tiers="$(printf '%s' "$tiers" | sed 's/"/\\"/g')"
esc_ver="$(printf '%s' "$version" | sed 's/"/\\"/g')"
json_items="${json_items}${json_items:+,}
{\"recipe\":\"${r}\",\"rc\":${rc},\"verdict\":\"${verdict}\",\"tiers\":\"${esc_tiers}\",\"version\":\"${esc_ver}\",\"log\":\"${SSH}:${log}\"}"
done
# 3. JSON summary for the AI diagnosis step.
cat > "$SUMMARY" <<JSON
{
"runid": "${RUNID}",
"host": "${SSH}",
"quick": ${QUICK:-0},
"stages": "${STAGES:-all}",
"remote_logdir": "${SSH}:${REMOTE_LOGDIR}",
"recipes": [${json_items}
]
}
JSON
echo >&2
echo "JSON summary : ${SUMMARY}" >&2
echo "full logs : ${SSH}:${REMOTE_LOGDIR}/<recipe>.log (read via ssh for diagnosis)" >&2
# Exit non-zero if any recipe failed, so a caller can branch; AI still diagnoses either way.
grep -q '"verdict":"FAIL"' "$SUMMARY" && exit 2 || exit 0