- Replace gray->cool-steel, blue/indigo->cerulean, red->sweet-salmon, yellow/amber->wheat
- Dark sidebar: sidebar/footer use cool-steel-800 bg, text lightened for contrast
- ~11,600 color replacements across ~99 files
- Update tests for new color class names
- Remove daisyUI plugins and theme from app.css
- Define 5 custom color palettes: sweet-salmon, desert-sand, wheat, cool-steel, cerulean
- Add @utility card, badge, btn classes to replace daisyUI components
- Replace all daisyUI classes across 16+ template files
- Update tests for new class return values
- Set light mode as default theme
- /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.
The CSS `capitalize` class only capitalises the first letter, so the
source filter pills and per-card badges showed "Ai" and "Snmp". Switch
to a `source_label/1` helper that returns "AI" / "SNMP" verbatim and
falls back to `String.capitalize/1` for the rest (Preseem, Gaiia,
System).
Adds an "ai" pill to the source-filter strip on /insights and a small
blue "AI" badge on every card whose `llm_enriched_at` is set. Selecting
the pill returns every LLM-enriched insight regardless of underlying
source (preseem / snmp / gaiia / system).
`source: "ai"` is a virtual filter — `list_insights/2` translates it to
`WHERE llm_enriched_at IS NOT NULL` rather than equality on the source
column, so existing real source semantics stay intact.
UI:
- Type-specific evidence cards (red/amber/orange/rose/purple/cyan/
indigo/blue) had `dark:text-{color}-300` labels and
`dark:bg-{color}-800 dark:text-{color}-100` badges that washed out on
the dark background. Bumped 31 label shades to -200 and switched the
three problem badges (Above manufacturer spec, Investigate upstream
first, own fleet, crit) to solid -600 with white text.
- upstream_degradation card got brighter device-link text and a
hover state in dark mode.
DeepSeek:
- Empty-string DEEPSEEK_MODEL / DEEPSEEK_BASE_URL env vars were not
treated as missing — `||` only short-circuits on nil/false — so a
blank secret would override the @default_model and the API would
reject `model: ""`. Both runtime.exs and the client itself now treat
blank values as missing.
Fiber operators care a lot about optical Rx power because connectors
get dirty, splices degrade, and patch panels develop bend-radius
problems. The data is already in snmp_transceiver_readings — this
rule turns it into actionable insights.
- Towerops.Recommendations.Rules.OpticalRxLow — single query selects
the latest reading per transceiver (last hour), filters to those
with rx_power_dbm <= -28, joins back to the device. Critical at
<= -32 dBm. One insight per (device, port) via metadata.dedup_key.
- Insight.@valid_types extended with optical_rx_low.
- LLM prompt hint walks the operator through the standard ladder:
clean SC/LC connector with a one-click cleaner, inspect bend
radius, verify splices, then replace the transceiver.
- UI: cyan card with port, Rx power, Tx power, transceiver type, and
wavelength.
- Wired into RecommendationsRunWorker.
8 new tests.
When 50%+ of the access points at one site simultaneously have
Preseem QoE score <60, root cause is almost always a shared upstream
problem (backhaul, transit, DNS, DHCP) — not per-AP RF. This rule
emits one site-level insight that points the operator at the right
investigation layer instead of letting them chase per-AP RF
symptoms across many APs at the same site.
- Towerops.Recommendations.Rules.UpstreamDegradation — single query
pulls all matched Preseem APs grouped by site_id. Critical when
100% of APs at the site are degraded; warning otherwise. Lists
every degraded AP with its QoE score in metadata.
- Insight.@valid_types extended with upstream_degradation.
- LLM prompt hint tells the model to instruct the operator to
investigate upstream FIRST and to NOT chase per-AP RF symptoms.
- UI: indigo card with degraded/total AP counts, an "Investigate
upstream first" badge, and a clickable list of affected APs.
- Wired into RecommendationsRunWorker FIRST in the @rules list so
the upstream signal surfaces before per-AP RF rules.
Also fixes two flakes:
- device_live/show_test.exs is now async: false. It inserts to
InterfaceStat which is a TimescaleDB hypertable; concurrent inserts
deadlock on chunk-table locks under parallel SQL-sandbox tests
(ERROR 40P01 deadlock_detected in setup).
- Cleared an unused-variable warning in device_overheating_test.exs.
8 new tests for UpstreamDegradation.
Operators frequently misdiagnose thermal throttling as RF problems
and waste truck rolls. This rule reads the hottest temperature
sensor per device and, when the device is linked to a Preseem AP
with degraded QoE, makes the thermal-correlation explicit so the
fix is ventilation/shading rather than antenna alignment.
- Towerops.Recommendations.Rules.DeviceOverheating — single query
pulls the hottest temperature sensor per device above 65 °C; one
insight per device. Critical at 75 °C+. Includes the linked
Preseem qoe_score in metadata when present.
- Insight.@valid_types extended with device_overheating.
- LLM prompt hint tells the model to recommend ventilation/fan/
shading inspection BEFORE any RF action when QoE is also low.
- UI: red card with sensor name, temperature, linked QoE score,
and an "Above manufacturer spec" badge for >=75 °C.
Wired into RecommendationsRunWorker. 8 new tests.
Same-channel conflicts at one site are not all equal. A pair of APs
sharing a channel in a clean RF environment is a planning issue;
the same pair in a contaminated environment is an outage waiting to
happen. This commit makes the rule reason across sources before
deciding urgency.
- Towerops.Snmp.RfHealth — cross-source helper that combines:
* Most recent noise-floor / noise sensor on the AP (dBm)
* Preseem rf_score and qoe_score from the linked AccessPoint row
* Average CPE SNR and client count from wireless_clients
Returns a snapshot map and an interference_severity/1 classifier
(:critical | :warning | :ok). Critical when noise floor >= -80 dBm
OR Preseem rf_score < 4.0; warning when avg CPE SNR < 15 with
active clients.
- OwnFleetChannelConflict now enriches each conflicting AP with its
noise floor, rf_score, qoe_score, avg CPE SNR, CPE count, and a
per-AP rf_severity. Urgency promotes to critical when 3+ APs share
a channel OR any conflicting AP shows critical RF health.
- UI: amber card now renders an evidence table with width, noise,
rf_score, CPE SNR, and CPE count per AP, plus a "Critical RF
environment detected" badge when has_critical_rf is true.
Also strengthens the previous flake fix on agent_live_test.exs:567
by switching to Req.Test shared mode (the test is sync), so the
ReleaseChecker stub is visible to the LiveView process regardless of
when it spawns relative to setup. The earlier Req.Test.allow approach
relied on stub timing that didn't always hold under full-suite load.
11 new tests across RfHealth + the enriched rule. LLM enrichment
automatically picks up the richer metadata via the existing Phase 1
worker.
Adds a vendor-agnostic radio-state extractor that lets the frequency-
aware rules actually fire on production data without per-vendor
plumbing for each profile.
- Towerops.Snmp.RadioState — pure module that maps a frequency in MHz
to the corresponding 802.11 channel across 2.4 GHz, 5 GHz, and 6 GHz
bands; reads the freshest "frequency" sensor (already emitted by
Cambium/MikroTik/AirOS/Mimosa/Exalt/etc. profiles) and persists the
AP-level current_frequency_mhz, current_channel, last_radio_seen_at
fields onto snmp_devices.
- DevicePollerWorker now calls RadioState.update_from_sensors/1 after
each sensor poll so frequency-aware rules read a single canonical
source instead of joining sensors at query time.
- Towerops.Recommendations.Rules.OwnFleetChannelConflict — new rule
that needs no neighbor-scan collection: detects when 2+ of our own
APs at the same site share a channel (self-interference). One
insight per (site, channel) with a clickable list of conflicting
APs and their channel widths. Critical when 3+ APs share a channel.
- Insight.@valid_types extended with own_fleet_channel_conflict.
- UI: amber card showing channel, frequency, AP count, and the linked
list of conflicting devices.
Wired into the existing hourly RecommendationsRunWorker. LLM
enrichment automatically applies via the Phase 1 worker.
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
- Make insight messages more descriptive (explain what untracked/ghost/mismatch means)
- Clarify action button labels on insight cards
- Redesign Gaiia mapping page to be TowerOps-centric: devices/sites as primary rows, search Gaiia for what to link them to
- Add IP-based match suggestions and smart sorting (suggestions first, then unlinked, then linked)
- Add search_inventory_items/2 and search_network_sites/2 to Gaiia context
- Make IP addresses clickable links (http://<ip>)
- Add optional Gaiia App URL setting to enable deep links to inventory items and network sites
- Fix broken route paths in dashboard (/discovery, /subscribers/trace, /config-changes)
- Fix insights empty state settings link (org-scoped route)
- Add underscores to all 86400 literals across 6 files
- Alphabetize aliases in search.ex and agent_channel.ex
- Extract changelog parser helper to reduce nesting
- Extract dashboard impact calculation to reduce nesting
- Refactor agent_channel config change detection (pattern match, extract function)
- Combine double Enum.reject into single call in trace.ex
- Fix line length in trace.ex search query
- Replace length/1 > 0 with != [] in trace_live
- Run mix format on all files
- Promote Insights to top-level nav at /insights with source/urgency/status filters
- Unified insights page shows all sources (Preseem, Gaiia, SNMP, System)
- Bulk select/dismiss support
- Integration pages now show sync schedule and next sync estimate
- Expose sync_interval_minutes as editable config field
- Add tab navigation between integration sub-pages
- Dashboard insights section links to /insights
- Integration 'Network Insights' link now points to /insights?source=preseem
- Add product roadmap (ROADMAP.md)
