Adds a parallel LLM path that reviews the whole org snapshot — Preseem
APs, SNMP signals, backhaul, agents, and the insight types the rules
already covered — and emits novel observations as ai_observation
insights (source=ai). Existing rule-based insights and per-insight
enrichment continue unchanged.
- lib/towerops/llm/network_snapshot.ex builds the bounded snapshot
- lib/towerops/llm/network_insight_prompt.ex builds the prompt and
parses the LLM's JSON observations array
- lib/towerops/workers/ai_network_insight_worker.ex runs nightly at
03:30 UTC (after the rule pass + per-insight enrichment) and on
the superuser regenerate button
- preseem/insight.ex extends @valid_types with "ai_observation" and
@valid_sources with "ai"
- insights_live/index.ex includes the new worker in the regen list
and adds an "AI" source badge style
Bumps the SnmpKit Manager timeout-options test threshold from 500ms
to 3000ms (was flaking on loaded dev machines), and scopes
list_unenriched_insights/1 assertion in insights_test:573 to the
test's org so cross-suite leaks don't fail the count.
- /insights now shows a "Regenerate insights" button for superusers
that enqueues all seven insight workers (Preseem baselines,
capacity, device-health, Gaiia, system, wireless, LLM enrichment).
Non-superusers neither see the button nor can trigger the event.
- Dialyzer is clean: added :tools to plt_add_apps, gave
Preseem.Insight a @type t, pinned a few unmatched returns, and
suppressed a known MapSet opaque false-positive in Towerops.Unused.
- e2e: NODE_OPTIONS=--disable-warning=DEP0205 silences the Node 25
deprecation noise from Playwright's internal ESM loader.
UI: the AI-generated footer dropped " · deepseek-v4-pro" — model
identity is irrelevant to operators reviewing the recommendation.
Parser: stop letting raw JSON leak into the summary text when the LLM
returns an almost-but-not-quite-valid response.
- Strip ```json fences (already done) PLUS try a balanced-brace
extraction so a "Here's the JSON: {…}" preamble doesn't break
Jason.decode
- When all decode paths fail, regex-extract `"summary"` and `"action"`
fields from the text rather than dumping the whole blob with braces
intact
- Last-ditch sanitiser strips remaining brace/quote noise so the
rendered summary never shows literal `"summary"` keys
Maintenance: `Towerops.Maintenance.RepairLlmSummaries.run()` clears
`llm_enriched_at` on already-stored rows whose summaries contain JSON
artifacts so the next worker cycle re-enriches them with the new
parser.
Test: insights_live_events_test now asserts the AI-generated label is
present *and* that the model name does not leak into the rendered HTML.
Two new multi-source rules using data we already collect, both wired
into the existing hourly RecommendationsRunWorker.
SectorOverload — fires when a Preseem-monitored AP has <25% free
airtime AND active subscribers. Critical urgency when free airtime
drops below 15%, OR when free airtime <25% AND QoE <50. Reuses the
airtime/subscriber/QoE data already pulled by PreseemSyncWorker so
no new collection is needed. UI: orange evidence card with free
airtime, subscriber count, QoE score, and AP model.
CpeRealign — fires when a wireless client has BOTH signal_strength
<=-78 dBm AND SNR <=18 dB seen in the last 2 hours. This is the
classic alignment / obstruction signature, distinct from the
existing single-metric wireless_signal_weak / wireless_snr_low
alerts produced by WirelessInsightWorker. One insight per (AP, CPE)
pair via a metadata.dedup_key. Critical when signal <=-88 OR SNR
<=10. UI: rose evidence card with signal, SNR, TX/RX rate, distance,
hostname.
Insights.insert_insight_if_new/1 dedup logic now prefers a
metadata.dedup_key over device_id when explicitly set, allowing
per-CPE insights without collapsing multiple CPEs on the same AP
into a single insight. Existing rules without dedup_key are
unaffected.
Insight.@valid_types extended with sector_overload and cpe_realign.
LLM enrichment automatically applies to both new types via the
existing Phase 1 worker — no extra wiring.
Also adds k8s/secrets.yaml to .gitignore so operators can drop a
local Secret manifest with real values, kubectl apply manually, and
never accidentally commit it. Documented in k8s/README.md.
When a wireless AP has a strong same-channel neighbor (RSSI >= -75 dBm)
and a measurably cleaner alternative channel exists in the same band,
the system now emits an ap_frequency_change insight with a specific
recommended channel and the top interfering BSSIDs as evidence.
- New schema wireless_neighbor_scans (append-only) storing observed
neighboring APs per device: bssid, ssid, channel, frequency_mhz,
channel_width_mhz, rssi_dbm, is_own_fleet, seen_at
- New columns on snmp_devices: current_channel, current_frequency_mhz,
current_channel_width_mhz, last_radio_seen_at — populated by vendor
SNMP profiles for APs that expose wireless OIDs
- Towerops.Recommendations.Rules.FrequencyChange — pure rule that scores
each candidate channel using sum-of-linear-power over the last 24h of
neighbor scans, recommends the cleanest if it beats the current by at
least 6 dB. Critical urgency when current score >= 100.
- Towerops.Workers.RecommendationsRunWorker — hourly Oban cron, iterates
organizations and runs all rules, uses insert_insight_if_new/1 for
idempotent upsert
- LiveView /insights renders a purple frequency-change card with current
vs recommended channel, dB-cleaner badge, and a top-offender list
(BSSID, SSID, RSSI, own-fleet flag)
- LLM enrichment automatically applies to the new insight type
Also fixes two pre-existing flaky tests that surfaced in CI:
- test/towerops_web/live/agent_live_test.exs:567 — now sets an explicit
Req.Test transport_error stub for ReleaseChecker and uses Req.Test.allow
so the LiveView process inherits it. Previously relied on absence of a
stub, which leaked across tests and produced different behavior under
full-suite parallel runs.
- test/towerops_web/telemetry_test.exs:140 — relaxes the "no log" check
to refute the specific messages the function under test would emit,
rather than asserting an empty capture_log/1 buffer (which catches
stray logs from concurrent tests, e.g. Postgrex sandbox disconnects).
Adds an optional plain-language summary and recommended action to every
active insight. A new Oban cron worker runs every 5 minutes, picks up
unenriched insights, and asks the configured LLM to restate the finding
and suggest one specific action grounded in the structured metadata.
- Migration: adds llm_summary, recommended_action, llm_model,
llm_enriched_at columns to preseem_insights
- Towerops.LLM context with swappable behaviour; real client uses Req
with the standard Req.Test plug for test isolation
- MockClient + InsightPrompt module (builds chat messages, parses JSON
with code-fence stripping and a raw-text fallback)
- Worker logs and skips on rate limits / missing key / parse errors so
insights still render without an AI summary when the LLM is unavailable
- Optional towerops-llm k8s secret with example template; deployment.yaml
references it as optional in both init and main containers
- UI renders summary + recommended action callout on /insights and on
the org-level insights page
