feat(open3e): poll buffer target temperature (DID 1799)

DID 1799 PrimaryCircuitCurrentTemperatureSetpoint on the HPMU, every
60 s; 127 UDS points. Live read 36.7 degC. S28-59.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

kubernetes/apps/immich/machine-learning.yaml

@@ -32,7 +32,7 @@ spec:
           type: RuntimeDefault
       containers:
         - name: immich-machine-learning
-          image: ghcr.io/immich-app/immich-machine-learning:v3.3.6 # {"$imagepolicy": "flux-system:immich-machine-learning"}
+          image: ghcr.io/immich-app/immich-machine-learning:v3.4.0 # {"$imagepolicy": "flux-system:immich-machine-learning"}
           ports:
             - name: http
               containerPort: 3003

kubernetes/apps/immich/server.yaml

@@ -87,7 +87,7 @@ spec:
               mountPath: /ca
       containers:
         - name: immich-server
-          image: ghcr.io/immich-app/immich-server:v3.3.6 # {"$imagepolicy": "flux-system:immich-server"}
+          image: ghcr.io/immich-app/immich-server:v3.4.0 # {"$imagepolicy": "flux-system:immich-server"}
           ports:
             - name: http
               containerPort: 3001

kubernetes/apps/navidrome/lidarr.yaml

@@ -93,7 +93,7 @@ spec:
           type: RuntimeDefault
       containers:
         - name: lidarr
-          image: ghcr.io/linuxserver/lidarr:3.1.6.5079-ls47 # {"$imagepolicy": "flux-system:lidarr"}
+          image: ghcr.io/linuxserver/lidarr:3.1.6.5079-ls48 # {"$imagepolicy": "flux-system:lidarr"}
           env:
             - name: PUID
               value: "1000"
@@ -140,7 +140,7 @@ spec:
               drop: ["ALL"]
               add: ["CHOWN", "DAC_OVERRIDE", "FOWNER", "SETGID", "SETUID"]
         - name: reconcile
-          image: ghcr.io/linuxserver/lidarr:3.1.6.5079-ls47 # {"$imagepolicy": "flux-system:lidarr"}
+          image: ghcr.io/linuxserver/lidarr:3.1.6.5079-ls48 # {"$imagepolicy": "flux-system:lidarr"}
           command: ["sh", "/scripts/reconcile.sh"]
           volumeMounts:
             - name: config

open3e/vitocal-can/README.md

@@ -1,7 +1,8 @@
 # vitocal-can
 
-Waveshare ESP32-S3-RS485-CAN running unmodified boonkerz/open3e-esp32
-(upstream CI artifact `site-dev`), on Vitocal 250-A socket A
+Waveshare ESP32-S3-RS485-CAN running open3e-esp32 from the fork
+konairius/open3e-esp32, branch `feat/heating-curve-rw` (0.3.0+ea30668: upstream
+0.3.0 with the heating curves 880-883 writable, S28-55), on Vitocal 250-A socket A
 (Klemme 1 = CAN L, Klemme 3 = CAN H, no GND/shield, jumper H1 = NC).
 Replaces the `heating-can` stack on edge-1. YouTrack S28-28.
 
@@ -13,7 +14,7 @@ Replaces the `heating-can` stack on edge-1. YouTrack S28-28.
 
 - `settings.json`: apply with `PUT /api/settings`. No password: the MQTT
   password is pushed by mqtt-account-controller.
-- `points.json`: apply with `PUT /api/points`. 120 UDS datapoints (30 s,
+- `points.json`: apply with `PUT /api/points`. 127 UDS datapoints (30 s; buffer setpoint 1799 60 s; flow limits 1193/1194 300 s;
   fixed topics matching the Home Assistant packages), including the 29 One
   Base ZigBee slots on 0x6c3 (topics `onebase_<DID:04d>_<didName>`), and 7
   E380 frames (10 s). Compact JSON with default fields omitted: the API takes
@@ -47,6 +48,11 @@ stored one.
 
 ## Firmware update
 
+Build: in the fork checkout, `docker run --rm -v $PWD:/src -w /src
+espressif/idf:v6.1` with `make setup db fixtures test`, `make storage`, then
+`idf.py set-target esp32s3 build` (the last step packs `build/storage.bin`
+from `storage_image/`, so it must come after `make storage`).
+
 1. `POST /api/ota` with `open3e-gateway.bin`.
 2. Wait for `pendingVerify: false` in `/api/status` (60 s).
 3. `POST /api/storage` with `storage.bin`. This wipes `points.json`, so apply