Per-sensor override on fp.tank.sensor.poll_interval_minutes with a
company-wide default (res.company.x_fc_default_poll_interval_minutes,
default 30) exposed in Settings → Fusion Plating → IoT. Single
lookup helper _fp_effective_poll_interval_minutes keeps downstream
call sites simple. Read-only poll_interval_display Char ("30 min
(default)" / "15 min (override)") keeps units unambiguous per user
request.
Ingest endpoint /fp/iot/ingest drops readings that arrive inside a
sensor's effective interval, returning {accepted, skipped} so the Pi
agent can log it. Pi-side interval stays its own concern.
Post-init hook seeds 5 small tanks + 20 big tanks (10 active, 10
inactive) with 1 temperature + 1 pH sensor each → 25 tanks, 50
sensors. Idempotent (keyed by tank.code, with_context(active_test=
False)). Opt-in via ir.config_parameter
fusion_plating_iot.seed_entech_tanks = '1' so a fresh install
elsewhere doesn't auto-seed. Flag set on entech today; 27 tanks / 52
sensors now live (2 pilot + 25 seeded).
Smoke on entech: 14/14 assertions pass including idempotency and
rate-limit conditions.
fusion_plating_iot → 19.0.2.0.0
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
fusion_plating_sensors had broader scope (sensor_type taxonomy,
dashboards, location flexibility) but its core logic was ALL
scaffolding — alert rules stored thresholds with zero side effects,
measurement create just filled a name sequence, the HTTP endpoint
required user-auth session cookies. Meanwhile fusion_plating_iot had
the actual working alerting: in-spec checks, quality-hold auto-raise
with excursion dedupe, setpoint + deviation, token-auth ingest for
headless hardware. Plus 563 real readings from the pilot Pi.
Right unification: keep fusion_plating_iot (working) as the base,
port the valuable structural bits from fusion_plating_sensors, demolish
the latter entirely.
**Ported to fusion_plating_iot:**
- `fp.sensor.type` — taxonomy model with 8 seeded types (Temperature,
pH, Conductivity, Level, Pressure, Flow, Concentration, Switch).
Richer than the device_kind Selection; hardware-independent (one
"Temperature" type covers DS18B20 / PT100 / thermocouple).
- `fp.sensor.dashboard` — named grouping of sensors with
out-of-spec count. Simple but useful ("ENP Line 1 — all tanks")
without the broken alert-rule complexity.
- Extended `fp.tank.sensor`:
* `uuid` (stable logical ID, survives hardware swaps)
* `sensor_type_id` (link to the taxonomy above)
* `work_center_id`, `facility_id`, `location_name` — alternatives to
tank_id so probes can live on ovens, ambient air, effluent pipes
without faking a "tank"
* `effective_location` computed — picks the first non-empty of the
four location fields for display
**Post-install hook** backfills UUID + default sensor_type on existing
live sensors. Verified on the 2 pilot sensors: both got UUIDs, both
auto-assigned the Temperature type via device_kind=ds18b20 mapping.
**Deleted** (all of fusion_plating_sensors, 1205 LOC):
- fp.sensor (replaced by fp.tank.sensor with added fields)
- fp.sensor.measurement (replaced by fp.tank.reading)
- fp.sensor.alert.rule (replaced by inline alert_min/max + working hold)
- /fp/sensor/measure controller (replaced by /fp/iot/ingest)
- fp.sensor.measure.wizard (not needed — Odoo's normal create form works)
- The "Sensors" submenu hierarchy (Dashboards/All Sensors/Measurements/
Sensor Types) that created the dup menus the user reported
**Menu now**: Plating → Operations → Sensors
- Dashboards (fp.sensor.dashboard)
- Sensors (fp.tank.sensor — renamed from "Tank Sensors" since
it supports non-tank locations now)
- Readings (fp.tank.reading)
- Sensor Types (fp.sensor.type)
No data loss: all 591 Pi readings preserved (up from 563 earlier as
the live poller kept running throughout the refactor). Brief 503 on
the Pi during the Odoo module-update restart; poller auto-retried on
the next 30s tick.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Sensors previously only tracked alarm thresholds (alert_min/alert_max).
Missing the third piece of standard process control: the SETPOINT —
what the heater/chiller controls toward and what dashboards compare
against. Without it an operator can't tell whether 89°C is "on target"
or "barely still in spec".
Schema changes:
**fusion.plating.bath.parameter** (shop-wide default)
- New `target_value` field — the default setpoint for this parameter
across the shop (e.g. 87°C for ENP bath). Parallel to existing
target_min / target_max.
**fp.tank.sensor** (per-sensor override)
- New `target_value_override` — per-sensor override, zero = inherit
from parameter. Matches the existing override pattern for alert
thresholds so users can fine-tune per-tank without touching the
shop-wide spec.
- New `effective_target` / `effective_target_unit` computed — resolves
override → parameter default, converts to company-preferred unit.
- New `_get_setpoint()` helper for internal use.
**fp.tank.reading**
- New `deviation_from_target` — signed Δ from the sensor's effective
setpoint, in the company's preferred unit. Positive = above, negative
= below, zero if no setpoint defined.
- New `deviation_band` (selection: on/near/far/out/none) — coarse band
for fast visual scanning. `on` = within ±1° of target, `near` = ±3°,
`far` = beyond, `out` = actually out of the alarm band.
**Views**
- Sensor form: split the alerting panel into two groups — "Target
(setpoint)" on the left, "Alarm band" on the right. Makes the
distinction between "where we want to be" and "where we'd panic"
visually obvious.
- Reading list: new Δ + band columns, with decoration classes
(success/info/warning/danger) so the list reads at a glance.
- Tank form Sensors tab: inline setpoint + unit column.
Seeded: parameter "Bath Temperature (Hot Process)" now carries
target_value=87°C as a realistic ENP shop default. Sensors inherit
unless they set their own override.
Design decisions kept simple:
- Did NOT add a warning band (warn_min/warn_max). Two-tier model
(setpoint + alarm band) is enough for the pilot. Can add soft
warnings later as a separate commit if ops wants them.
- Did NOT auto-control heaters. Setpoint is stored as metadata only;
actual heater actuation via IoT is a future phase C project.
Verified: setpoint 87°C stored → displays 188.60°F on the live pilot
sensor (company pref = F). Each incoming reading correctly computes
signed deviation; bands colour the reading list appropriately.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
The sensor readings list always showed raw °C regardless of the
Plating Settings Temperature Unit preference (res.company.x_fc_default_temp_uom).
On a Fahrenheit-preferred shop, a 40°C reading should render as 105°F.
Fix: add display-aware computed fields alongside the canonical ones.
**fp.tank.reading**
- `value` / `unit` renamed with "(raw)" labels — these are the stored
canonical values (always °C for temperature, because every
temperature chip reports in Celsius natively)
- `display_value` + `display_unit` computed from company pref — only
flips C→F when parameter_type='temperature' AND company pref='F';
pH/conductivity/etc pass through untouched
- `display_name` now uses display_value so it reads naturally
("Sensor — 105.58 °F @ ...") regardless of region
**fp.tank.sensor**
- Mirrored the same pattern on the cached last-reading fields
- `last_reading_display` + `last_reading_display_unit` for lists
- `last_reading_value` hidden behind group_no_one (debug-only)
**Views**
- fp.tank.reading list: show display_value/display_unit, raw value
hidden by default (toggle from column picker if needed)
- fp.tank.sensor list + form + tank inline: same pattern
- Raw value kept visible as an optional column so data engineers
can still audit canonical storage
Why store canonical: spec thresholds (alert_min/max) live on the
sensor in °C. If the same Odoo serves a multi-region company
(Canada in C, US affiliate in F), switching a single preference
flips every UI without touching data. Alert logic keeps comparing
canonical values, so out-of-spec holds fire correctly regardless
of display unit.
Verified: 40.88°C raw → 105.58°F display on the live pilot probe
with company pref='F'. All 5 recent readings tested, display
fields updated correctly on every poll.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Pi is at our office today but moves to the client's shop in the next
few days. The client accesses Odoo at https://erp.enplating.ca (not a
LAN/Tailscale path — it's the same HTTPS URL any browser uses). By
pointing the poller at the public URL instead of the internal
10.200.1.26 LAN IP, the Pi works IDENTICALLY wherever it's plugged
in — no reconfiguration when it physically relocates.
- Updated poller's docstring + example config to use
https://erp.enplating.ca
- Updated fusion_iot/CLAUDE.md with the portable-deployment notes and
the failed-Tailscale-on-entech side-story (LXC can't create tun,
apt state broken from a pre-existing python3-lxml-html-clean
conflict — skipped because public URL is simpler anyway).
Verified live: poller restarted against https://erp.enplating.ca,
HTTP 200, TLS valid, 121ms RTT, two consecutive readings accepted
(46.25°C, 45.94°C — probe still cooling from the out-of-spec test).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
fp-iot-01 is now on Tailscale at 100.108.41.97. SSH config on the
Mac aliases `ssh fp-iot-01` to the Tailscale IP with key-based auth
(no more sshpass + password flying around in shell history).
Also noted the Pi-side folder structure (pi/ + scripts/) and the
live deployment facts (probe serial, systemd unit, config path)
so future sessions can pick up from zero without re-investigating.
Verified end-to-end with real hardware:
- Physical probe heated to 79.94°C → auto-raised HOLD-0015
- 30 subsequent out-of-spec readings → no duplicate holds (as designed)
- hold_id correctly linked back to the triggering reading
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Phase B kickoff — Pi hardware is wired up and posting readings to
Odoo via /fp/iot/ingest every 30 seconds. No more simulations;
this is real tank-temperature data.
New files:
- `pi/fp_iot_poller.py` — tiny systemd daemon. Reads every DS18B20
under /sys/bus/w1/devices/28-* (kernel CRC-validated) and POSTs
a batch to /fp/iot/ingest with the shared-secret token. Handles
transient network failures by logging + retrying on the next
30-second tick. Config in /etc/fp-iot/poller.conf (ODOO_URL,
INGEST_TOKEN, INTERVAL_SECONDS).
- `pi/fp-iot-poller.service` — systemd unit with hardened sandbox
(NoNewPrivileges, ProtectSystem=strict, ProtectHome, PrivateTmp,
ReadOnlyPaths=/sys/bus/w1 /etc/fp-iot). Auto-starts on boot,
restarts on failure.
- `scripts/fp_iot_setup_live_sensor.py` — one-shot entech
initialiser: rotates the ingest token to a real random secret,
picks a test tank + temperature parameter, creates the
fp.tank.sensor record for serial 28-000000b276e4 with 15-35°C
alert thresholds sized for bench testing.
Verified end-to-end: Pi reads probe → posts to Odoo → reading lands
in fp.tank.reading within 1s. 5 consecutive readings at 30s
cadence show smooth temperature trend (probe cooling from 27.25°C
to 26.06°C after being handled). in_spec flag correct, sensor
cache (last_reading_value / _at / _in_spec) updates on every
reading.
Not yet done — Phase B continued:
- Repackaged iot_drivers path (full Odoo IoT integration vs this
simple HTTP path) — this poller is the minimal viable pilot.
- Multi-probe (scalable to N probes per Pi; code already supports,
just need more hardware).
- Graduate to the proper iot.device + iot.box Odoo registration
flow.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Replaces the upstream Odoo icons with the purple-pink-orange V mark
so all three modules show consistent Fusion branding in the Apps list
and settings UI.
Same icon file across all three so they read as a family. Upstream
had its own icon.png on the `iot` module which this overwrites.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Phase A of the IoT initiative — gets the server-side infrastructure
in place before the Raspberry Pi hardware arrives, so the iot admin
UI + /fp/iot/ingest endpoint are ready to accept the first real
temperature reading as soon as the Pi is wired up.
New top-level folder: fusion_iot/
1. **iot_base/** — Odoo S.A. iot_base module, copied from
RePackaged-Odoo verbatim. LGPL-3 upstream, no changes needed.
2. **iot/** — Odoo S.A. iot module, repackaged:
- `models/update.py` neutralised (removed the publisher_warranty
IoT-Box-counting report that phones home to odoo.com for
enterprise licence enforcement)
- `iot_handlers/lib/load_worldline_library.sh` deleted (proprietary
Worldline payment lib fetch from download.odoo.com, not needed)
- `wizard/add_iot_box.py._connect_iot_box_with_pairing_code` —
upstream called odoo.com's iot-proxy to resolve pairing codes;
replaced with a no-op. Pi-side iot_drivers proxy registers
directly with this Odoo server instead.
- Manifest rebranded with an explicit changelog preamble.
3. **fusion_plating_iot/** — new plating-specific wrapper:
- `fp.tank.sensor` — maps an iot.device (or a direct-HTTP-ingest
sensor) to a fusion.plating.tank + fusion.plating.bath.parameter.
Supports DS18B20, PT100/1000, pH, conductivity, level. Per-sensor
alert_min/max overrides.
- `fp.tank.reading` — append-only time-series. On create, evaluates
against sensor's alert range. On in-spec → out-of-spec TRANSITION,
auto-raises a fusion.plating.quality.hold (once per excursion,
no spam during sustained out-of-spec).
- `POST /fp/iot/ingest` — shared-secret HTTP endpoint for sensors
bypassing the Pi proxy. Token via X-FP-IOT-Token header OR body.
Accepts single-reading or batch payloads.
- Menu under Plating → Operations → Sensors & Readings.
- Tank form inherits get a Sensors tab inline.
Deployed to entech. Verified end-to-end:
- Install: iot_base + iot + fusion_plating_iot all 'installed'
- Smoke test: in-spec → out-of-spec → hold raised (HOLD-0010);
continued excursion → NO duplicate hold; back-in-spec → NEW
excursion → NEW hold (HOLD-0011) ✓
- HTTP endpoint: correct token → 200 accepted; wrong token → 401;
unknown device_serial → 404; batch payload → 200 accepted=N ✓
Phase B (when Raspberry Pi hardware arrives): DS18B20 iot_handler
driver for the Pi-side iot_drivers proxy + systemd service on
vanilla Raspberry Pi OS + first live reading from physical probe.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
