The three open Phase 5 findings were one defect: the stand-in was keyed on
CI Server POINT names (PS_STN_WET_WELL_LEVEL) when the historian is keyed on
CI Server ITEM names (AID.WRPS.STN.LEVEL). Modbus carries register numbers,
not names, so those two layers are free to differ - and do. Reconciling
against the register map, as planned, would only have proved the first three
namespaces agreed with each other.
Rebuilt from WRPS/05-scada/modbus, so item names, sample rates, retention and
timestamp semantics come from the machine rather than from a guess.
(a) Level tag does not join. PS_STN_WET_WELL_LEVEL becomes a tag row in its
own right; LIT-101 is marked NOT HISTORISED - a field input on %IW0 that
never reaches SCADA. It was the only seed row carrying two addresses.
public.historian_items holds the item-to-tag mapping, generated by
scripts/gen_historian_items.py and enforced non-empty at generate, at
deploy and at verify.
(b) first_alarm/last_alarm returned UTC. Converted inside the measure, so it
stays in Cube and happens once. Aggregate first, convert after - the other
order picks the wrong row across a DST fall-back. Returned as a formatted
string with a companion site_timezone measure. Storage being UTC is now
confirmed, not assumed: all 49 points carry TIME_ZONE "Date+time GMT" and
every history group CORRECT_DAYLIGHT=0. This answers Phase 4 task 4.
(c) High level alarm filed against the wrong equipment. Both sides were right
about different things; the defect was asserting equipment twice. The
history now carries no equipment column at all - faithful, since CI
Server's section tree stops at the station and three pumps. Equipment is
reached bit -> tag -> equipment via public.alarm_bits.
Alarms are derived, not stored: CI Server's ALARM_HISTORY group is empty
because every item imports with alarming off. Decomposing the alarm word needs
no configuration that does not exist.
Three things the SCADA config changed that were never filed as faults:
- retention is 7 days, not 30. The advisory path was reporting a month of
evidence drawn from a week of data
- the analogue rate is 5 s, not 60. Two measures multiplied sample counts by
a hardcoded 60 - a twelvefold overstatement that read as plausible
- the deadband warning in process_values.yml was wrong and was steering
people away from the correct measure
db/002_fixtures.sql now asserts its own counts at load and cross-checks the
alarm derivation against two independent signals. Those prove the pipeline,
not the plant.
db/README-standin-historian.md documents removal: the seam between generation
and contract, and twelve assumptions about imh that are NOT confirmed. Two of
them fail silently.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
201 lines
10 KiB
Bash
201 lines
10 KiB
Bash
#!/usr/bin/env bash
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# Verify the AI stack on lin001. Read-only: it starts nothing and changes nothing.
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#
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# ./scripts/verify.sh
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#
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# "docker ps showing Up" is not proof of anything. What this checks instead:
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# a 302 to the auth portal on every public hostname, clean logs, pg-ai
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# unreachable from outside its own network, agent_ro genuinely read-only, and
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# no host ports published by anything we added.
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#
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# Exit code is the number of failed checks, so it is usable in CI.
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set -uo pipefail
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PASS=0
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FAIL=0
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ok() { printf ' \033[32mok\033[0m %s\n' "$*"; PASS=$((PASS+1)); }
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bad() { printf ' \033[31mFAIL\033[0m %s\n' "$*"; FAIL=$((FAIL+1)); }
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head_() { printf '\n\033[1m%s\033[0m\n' "$*"; }
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head_ "Containers"
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for name in pg-ai cube ai-api ai-web langfuse lf-db; do
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if docker ps --format '{{.Names}}' | grep -qx "$name"; then
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state=$(docker inspect -f '{{.State.Status}}' "$name")
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health=$(docker inspect -f '{{if .State.Health}}{{.State.Health.Status}}{{else}}none{{end}}' "$name")
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if [ "$state" = "running" ] && [ "$health" != "unhealthy" ]; then
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ok "$name running (health: $health)"
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else
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bad "$name state=$state health=$health"
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fi
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else
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bad "$name is not running"
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fi
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done
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head_ "No published host ports on anything we added"
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# openplc-runtime publishing 502 is the one deliberate exception on this host,
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# and it is not ours. Everything in the AI stack must publish nothing.
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for name in pg-ai cube ai-api ai-web langfuse lf-db; do
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ports=$(docker port "$name" 2>/dev/null || true)
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if [ -z "$ports" ]; then
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ok "$name publishes no host port"
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else
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bad "$name publishes: $ports"
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fi
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done
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head_ "pg-ai network isolation"
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if docker inspect pg-ai -f '{{range $k,$v := .NetworkSettings.Networks}}{{$k}} {{end}}' 2>/dev/null | grep -qw proxy; then
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bad "pg-ai is attached to the proxy network - it must be ai-internal only"
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else
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ok "pg-ai is not on the proxy network"
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fi
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head_ "Public endpoints - expect 302 to the auth portal"
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# Run this from OUTSIDE the VNet as well. lin001 resolves yokogawa.tech through
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# the DC, which holds pinpoint records only - ai and influx have one, lf, api
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# and cube do not. So on this host those three do not resolve at all, and that
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# says nothing about whether they work from a browser. The check reports the
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# two cases separately rather than calling both a failure.
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for host in lf.yokogawa.tech cube.yokogawa.tech api.yokogawa.tech; do
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if ! getent hosts "$host" >/dev/null 2>&1; then
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printf ' [33m??[0m %s does not resolve FROM THIS HOST (no DC pinpoint record) - check it from outside the VNet
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' "$host"
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continue
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fi
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code=$(curl -s -o /dev/null -w '%{http_code}' -I "https://$host" --max-time 10 || echo "000")
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case "$code" in
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302|303) ok "$host -> $code (auth portal)" ;;
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200) bad "$host -> 200 WITHOUT AUTH - check 'import authelia' in ~/Caddyfile" ;;
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403) bad "$host -> 403 - Caddy is serving it but Authelia has no access_control rule, so default_policy: deny applies. Add the hostname (authelia/access-rules.md)" ;;
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000) bad "$host unreachable - Caddy has no certificate, or nothing is listening" ;;
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*) bad "$host -> $code" ;;
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esac
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done
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head_ "ai.yokogawa.tech is closed to everything except the SCADA console"
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# Applied 2026-08-28: the block admits remote_ip 10.0.0.21 (cicore1) only and
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# 403s everything else. lin001 is NOT 10.0.0.21 as Caddy sees it, so from here
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# 403 is the PASS - it proves the deny arm works and that this host, the VPN and
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# the internet are all shut out.
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#
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# THIS SCRIPT CANNOT PROVE THE ALLOW ARM. A typo in the matcher gives 403 to
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# cicore1 too and looks identical from here. Somebody must open
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# https://ai.yokogawa.tech on cicore1 and get the UI with no login. There is no
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# way around that, and it is the same gap as the Phase 7 end-to-end check.
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for u in "https://ai.yokogawa.tech" "https://ai.yokogawa.tech/ask"; do
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code=$(curl -s -o /dev/null -w '%{http_code}' -X POST "$u" \
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-H 'Content-Type: application/json' -d '{}' --max-time 10 || echo "000")
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case "$code" in
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403) ok "$u -> 403 from this host (deny arm working)" ;;
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302|303) bad "$u -> $code - still going through Authelia; the SCADA-only block was not applied or was reverted" ;;
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200) bad "$u -> 200 FROM THIS HOST - the matcher is not restricting anything. The assistant is open to the LAN, the VPN and, via the public A record, the internet" ;;
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404) bad "$u -> 404 - the /ask route is missing from the Caddy block; ai-web is answering" ;;
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000) bad "$u unreachable - Caddy has no certificate, or nothing is listening" ;;
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*) bad "$u -> $code" ;;
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esac
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done
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printf ' [33m>>[0m ALLOW ARM UNPROVEN: open https://ai.yokogawa.tech on cicore1 (10.0.0.21) - expect the UI, no login\n'
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# api.yokogawa.tech has no pinpoint DNS record, so it is unresolvable from
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# inside the VNet. A bundle that hard-codes it loads fine here and fails on a
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# control-room PC. Check what was actually built into the image.
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if docker exec ai-web sh -c 'grep -rqs "api\.yokogawa\.tech" /usr/share/nginx/html' 2>/dev/null; then
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bad "the ai-web bundle hard-codes api.yokogawa.tech - cicore1 cannot resolve it; rebuild with VITE_API_BASE empty"
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else
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ok "ai-web bundle carries no cross-origin API hostname"
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fi
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# Runs BEFORE the agent_ro test on purpose. That test deliberately attempts an
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# INSERT it is not allowed to make, which pg-ai logs as "permission denied for
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# table equipment" - in the other order verify.sh flags, every single run, an
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# error line it created itself.
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head_ "Recent errors in the logs"
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for name in pg-ai cube ai-api ai-web; do
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errors=$(docker logs --tail 200 "$name" 2>&1 | grep -icE 'error|fatal|panic' || true)
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[ "${errors:-0}" -eq 0 ] && ok "$name logs clean (last 200 lines)" \
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|| bad "$name has $errors error lines - docker logs --tail 200 $name"
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done
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head_ "agent_ro is read-only"
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if docker exec pg-ai psql -U agent_ro -d plant -tAc 'SELECT count(*) FROM equipment' >/dev/null 2>&1; then
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ok "agent_ro can SELECT"
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else
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bad "agent_ro cannot SELECT"
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fi
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if docker exec pg-ai psql -U agent_ro -d plant -tAc \
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"INSERT INTO equipment (equipment_id) VALUES ('VERIFY-DELETE-ME')" >/dev/null 2>&1; then
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bad "agent_ro CAN INSERT - this is a Phase 1 failure, fix db/003_roles.sql now"
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docker exec pg-ai psql -U postgres -d plant -c \
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"DELETE FROM equipment WHERE equipment_id='VERIFY-DELETE-ME'" >/dev/null 2>&1
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else
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ok "agent_ro INSERT is rejected"
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fi
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head_ "Reference data"
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missing_eq=$(docker exec pg-ai psql -U postgres -d plant -tAc \
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"SELECT count(*) FROM equipment WHERE coalesce(array_length(aliases,1),0)=0" 2>/dev/null || echo "?")
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missing_tag=$(docker exec pg-ai psql -U postgres -d plant -tAc \
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"SELECT count(*) FROM tags WHERE coalesce(array_length(aliases,1),0)=0" 2>/dev/null || echo "?")
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[ "$missing_eq" = "0" ] && ok "every equipment item has an alias" || bad "$missing_eq equipment items have no alias"
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[ "$missing_tag" = "0" ] && ok "every tag has an alias" || bad "$missing_tag tags have no alias"
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if docker exec pg-ai psql -U postgres -d plant -tAc \
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"SELECT 1 FROM pg_extension WHERE extname='vector'" 2>/dev/null | grep -q 1; then
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ok "pgvector extension present"
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else
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bad "pgvector extension missing"
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fi
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head_ "Historian item mapping"
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# The check that stops Phase 5 finding (a) coming back. A historised item with
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# no tag and no written reason is unreachable from a tag-level lookup, and it
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# fails as "no records found" - which an operator cannot tell apart from an
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# absence of data. It is enforced at generation and at load; this confirms what
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# is actually in the running database.
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orphans=$(docker exec pg-ai psql -U postgres -d plant -tAc \
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"SELECT count(*) FROM historian_items
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WHERE his_group IS NOT NULL AND tag_id IS NULL AND exclusion_reason IS NULL" 2>/dev/null || echo "?")
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[ "$orphans" = "0" ] && ok "every historised item resolves to a tag or a stated reason" \
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|| bad "$orphans historised items resolve to nothing"
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# Equipment must be asserted in exactly one place. Nothing in the history may
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# carry an equipment column - that denormalisation is what made the station's
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# most obvious question unanswerable in finding (c).
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stray=$(docker exec pg-ai psql -U postgres -d plant -tAc \
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"SELECT count(*) FROM information_schema.columns
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WHERE table_schema='fixture' AND column_name='equipment_id'" 2>/dev/null || echo "?")
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[ "$stray" = "0" ] && ok "no equipment column in the history (equipment is asserted once, in tags)" \
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|| bad "$stray history columns named equipment_id - equipment is asserted twice"
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head_ "Timezone"
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# alarms.yml converts first_alarm/last_alarm inside the measure and names the
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# zone as a literal, because Jinja env_var support could not be tested against
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# the pinned Cube v1.1.7. That literal must not drift from api.env.
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env_tz=$(grep -E '^SITE_TIMEZONE=' "$HOME/ai/api.env" 2>/dev/null | cut -d= -f2 | tr -d ' ')
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model_tz=$(grep -oE "AT TIME ZONE '[^']+'" "$HOME/ai/cube/model/alarms.yml" 2>/dev/null \
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| head -1 | sed "s/.*'\(.*\)'/\1/")
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if [ -z "$env_tz" ] || [ -z "$model_tz" ]; then
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bad "could not read SITE_TIMEZONE from api.env ($env_tz) or alarms.yml ($model_tz)"
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elif [ "$env_tz" = "$model_tz" ]; then
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ok "alarms.yml converts to $model_tz, matching SITE_TIMEZONE"
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else
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bad "alarms.yml converts to '$model_tz' but SITE_TIMEZONE is '$env_tz' - first_alarm will be reported in the wrong zone"
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fi
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head_ "Fixture data"
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if docker exec pg-ai psql -U postgres -d plant -tAc \
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"SELECT 1 FROM information_schema.schemata WHERE schema_name='fixture'" 2>/dev/null | grep -q 1; then
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rows=$(docker exec pg-ai psql -U postgres -d plant -tAc \
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"SELECT count(*) FROM fixture.alarm_history WHERE state='ACTIVE'" 2>/dev/null)
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span=$(docker exec pg-ai psql -U postgres -d plant -tAc \
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"SELECT horizon_days || ' days from ' || origin::date FROM fixture.build_meta" 2>/dev/null)
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printf ' \033[33m!!\033[0m fixture schema present (%s alarm activations over %s) - answers are TEST DATA, not plant history\n' "$rows" "$span"
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printf ' \033[33m!!\033[0m history is retained for 7 days, matching CI Server. Questions older than that return nothing, correctly.\n'
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fi
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head_ "Disk"
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df -h / /datadisk | sed 's/^/ /'
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printf '\n%s passed, %s failed\n' "$PASS" "$FAIL"
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exit "$FAIL"
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