From f31957a02b7ad1f96698d9623519b8822867f103 Mon Sep 17 00:00:00 2001
From: UsatovPavel <dbpfynbqcrfzbvgthbz@gmail.com>
Date: Mon, 28 Sep 2026 20:28:50 +0300
Subject: [PATCH 1/5] fix(deploy): generic rollback

Rollback was pinned to inference:rollback-before-full-no2021: a failed
deploy would restore the model from before full-no2021. Now the previous
current becomes inference:previous, and every inference-* compose service
is restarted, health-checked and rolled back together.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
---
 .github/workflows/deploy.yml | 138 +++++++++++++----------------------
 README.md                    |   4 +-
 2 files changed, 53 insertions(+), 89 deletions(-)

diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml
index 7808982..0a05a00 100644
--- a/.github/workflows/deploy.yml
+++ b/.github/workflows/deploy.yml
@@ -74,57 +74,17 @@ jobs:
           set -o pipefail
           docker save "$IMAGE" | gzip | ssh vps 'gunzip | sudo -n docker load'
 
-      - name: Preserve current model and 72-hour history
+      # Прежний current — точка отката. Повторный прогон того же sha его
+      # не трогает, иначе previous совпал бы с новым образом.
+      - name: Tag previous
         run: |
-          ssh vps "REMOTE_DIR=$REMOTE_DIR bash -s" <<'EOF'
+          ssh vps "SHA=${{ github.sha }} bash -s" <<'EOF'
           set -euo pipefail
-          cd "$HOME/$REMOTE_DIR"
-          backup="$HOME/$REMOTE_DIR/model-backups/before-full-no2021"
-          umask 077
-          mkdir -p "$backup"
-          if [ -f "$backup/SHA256SUMS" ]; then
-            echo "existing model-switch backup verified"
-            cd "$backup"
-            sha256sum -c SHA256SUMS
-            exit 0
-          fi
-
-          sudo -n docker image inspect inference:current >/dev/null
-          sudo -n docker tag inference:current inference:rollback-before-full-no2021
-          sudo -n docker image inspect -f '{{.Id}}' inference:current > "$backup/previous-image-id.txt"
-
-          container=$(sudo -n docker compose ps -q inference)
-          created=0
-          if [ -z "$container" ]; then
-            container=$(sudo -n docker create inference:current)
-            created=1
-          fi
-          sudo -n docker cp "$container:/app/data/best_model.cbm" "$backup/previous_model.cbm.tmp"
-          if [ "$created" -eq 0 ]; then
-            sudo -n docker cp "$container:/app/runtime/events_cursor.json" "$backup/events_cursor.json.tmp"
-          else
-            sudo -n docker rm "$container" >/dev/null
-          fi
-          sudo -n chown "$USER" "$backup"/*.tmp
-          mv "$backup/previous_model.cbm.tmp" "$backup/previous_model.cbm"
-          if [ -f "$backup/events_cursor.json.tmp" ]; then
-            mv "$backup/events_cursor.json.tmp" "$backup/events_cursor.json"
-          fi
-
-          db=$(sed -n 's/^POSTGRES_DB=//p' .env)
-          dbuser=$(sed -n 's/^POSTGRES_USER=//p' .env)
-          sudo -n docker compose exec -T postgres psql -X -q -v ON_ERROR_STOP=1 \
-            -U "$dbuser" -d "$db" -c \
-            "COPY (SELECT id, event_id, channel_id, ts, is_alarm, raw_value FROM events WHERE ts >= now() - interval '72 hours' ORDER BY ts, id) TO STDOUT WITH (FORMAT csv, HEADER true)" \
-            | gzip -c > "$backup/events-72h.csv.gz.tmp"
-          mv "$backup/events-72h.csv.gz.tmp" "$backup/events-72h.csv.gz"
-          cd "$backup"
-          sha256sum previous_model.cbm previous-image-id.txt events-72h.csv.gz \
-            > SHA256SUMS
-          if [ -f events_cursor.json ]; then
-            sha256sum events_cursor.json >> SHA256SUMS
+          old=$(sudo -n docker image inspect -f '{{.Id}}' inference:current 2>/dev/null || true)
+          new=$(sudo -n docker image inspect -f '{{.Id}}' "inference:$SHA")
+          if [ -n "$old" ] && [ "$old" != "$new" ]; then
+            sudo -n docker tag inference:current inference:previous
           fi
-          sha256sum -c SHA256SUMS
           EOF
 
       # Стабильный тег, а не переменная в .env: деплой бэкенда переписывает
@@ -136,7 +96,7 @@ jobs:
           sudo -n docker tag "inference:$SHA" inference:current
           EOF
 
-      - name: Restart service
+      - name: Restart services
         run: |
           ssh vps "REMOTE_DIR=$REMOTE_DIR bash -s" <<'EOF'
           set -euo pipefail
@@ -144,62 +104,66 @@ jobs:
             echo "::notice::~/$REMOTE_DIR is missing: image loaded, nothing to restart"
             exit 0
           }
-          services=$(sudo -n docker compose config --services) || {
+          all=$(sudo -n docker compose config --services) || {
             echo "::error::docker compose config failed in ~/$REMOTE_DIR"
             exit 1
           }
-          # Сервис и гранты добавляет бэкенд (HACK-136). До него образ
-          # просто лежит на VPS и ничего не запускает.
-          if ! grep -qx inference <<<"$services"; then
-            echo "::notice::backend compose has no 'inference' service yet (HACK-136): image loaded, not started"
+          # Все сервисы на образе inference:current: модель поломок и
+          # 4-классовая. Сервисы и гранты добавляет бэкенд (HACK-136).
+          services=$(grep -xE 'inference(-[a-z0-9]+)?' <<<"$all" || true)
+          if [ -z "$services" ]; then
+            echo "::notice::backend compose has no inference services yet (HACK-136): image loaded, not started"
             exit 0
           fi
-          rollback() {
-            echo "::error::new inference failed; restoring previous image"
-            sudo -n docker tag inference:rollback-before-full-no2021 inference:current
-            sudo -n docker compose up -d --no-deps --force-recreate inference
-            rollback_deadline=$((SECONDS + 900))
-            while :; do
-              rollback_id=$(sudo -n docker compose ps -q inference)
-              rollback_status=$(sudo -n docker inspect -f '{{.State.Health.Status}}' "$rollback_id" 2>/dev/null || echo missing)
-              echo "rollback inference: $rollback_status"
-              [ "$rollback_status" = healthy ] && return 0
-              [ $SECONDS -ge $rollback_deadline ] && return 1
-              sleep 15
+          echo "services: $(tr '\n' ' ' <<<"$services")"
+
+          # Прогрев окон за 3 дня — минуты; ждём healthy, а не running.
+          wait_healthy() {
+            local deadline=$((SECONDS + 900)) service id status
+            for service in $services; do
+              while :; do
+                id=$(sudo -n docker compose ps -q "$service")
+                status=$(sudo -n docker inspect -f '{{.State.Health.Status}}' "$id" 2>/dev/null || echo missing)
+                echo "$service: $status"
+                [ "$status" = healthy ] && break
+                if [ "$status" = unhealthy ] || [ $SECONDS -ge $deadline ]; then
+                  echo "::error::$service is not healthy ($status)"
+                  sudo -n docker compose logs --tail 200 "$service" || true
+                  return 1
+                fi
+                sleep 15
+              done
             done
           }
 
-          if ! sudo -n docker compose up -d --no-deps --force-recreate inference; then
-            rollback
+          rollback() {
+            if ! sudo -n docker image inspect inference:previous >/dev/null 2>&1; then
+              echo "::error::no inference:previous image, nothing to roll back to"
+              return 1
+            fi
+            echo "::error::new inference failed; restoring inference:previous"
+            sudo -n docker tag inference:previous inference:current
+            sudo -n docker compose up -d --no-deps --force-recreate $services
+            wait_healthy
+          }
+
+          if ! sudo -n docker compose up -d --no-deps --force-recreate $services || ! wait_healthy; then
+            rollback || true
             exit 1
           fi
-
-          # Прогрев окон за 3 дня — минуты; ждём healthy, а не running.
-          deadline=$((SECONDS + 900))
-          while :; do
-            id=$(sudo -n docker compose ps -q inference)
-            status=$(sudo -n docker inspect -f '{{.State.Health.Status}}' "$id" 2>/dev/null || echo missing)
-            echo "inference: $status"
-            [ "$status" = healthy ] && break
-            if [ "$status" = unhealthy ] || [ $SECONDS -ge $deadline ]; then
-              echo "::error::inference is not healthy ($status)"
-              sudo -n docker compose logs --tail 200 inference || true
-              rollback
-              exit 1
-            fi
-            sleep 15
+          for service in $services; do
+            sudo -n docker compose logs --tail 20 "$service"
           done
-          sudo -n docker compose logs --tail 20 inference
           EOF
 
-      # После рестарта: старый образ уже не держит контейнер. Хранятся текущий
-      # sha и один предыдущий для отката (образ 2.3 ГБ).
+      # После рестарта: старый образ уже не держит контейнер. Хранятся current,
+      # previous для отката и образ до full-no2021 (образ 2.3 ГБ).
       - name: Prune old images
         run: |
           ssh vps "SHA=${{ github.sha }} bash -s" <<'EOF'
           set -euo pipefail
           sudo -n docker image ls inference --format '{{.CreatedAt}}\t{{.Tag}}' \
-            | { grep -vP "\t(current|$SHA|rollback-before-full-no2021)\$" || true; } | sort -r | tail -n +2 | cut -f2 \
+            | { grep -vP "\t(current|previous|$SHA|rollback-before-full-no2021)\$" || true; } | cut -f2 \
             | while read -r tag; do sudo -n docker image rm "inference:$tag" >/dev/null || true; done
           sudo -n docker image prune -f >/dev/null
           EOF
diff --git a/README.md b/README.md
index 1c2ed4e..fd73178 100644
--- a/README.md
+++ b/README.md
@@ -774,9 +774,9 @@ docker build -t inference:local .
 docker run --rm -v inference-runtime:/app/runtime -e PGHOST=... -e PGUSER=inference -e PGPASSWORD=... inference:local
 ```
 
-CI (`ci.yml`): `pytest` на Python 3.12 x86_64 со встроенным Postgres, `docker build`, smoke образа. Деплой (`deploy.yml`, push в `main` или вручную): после CI образ едет на VPS по SSH как `inference:current`, хранятся текущий и один предыдущий `inference:<sha>` для отката. Перед переключением сохраняются предыдущая модель, курсор и события за 72 часа в `~/backend/model-backups/before-full-no2021/` вместе с SHA-256; прежний образ получает тег `inference:rollback-before-full-no2021`. Новая версия прогревает окно из `events`, не из файла старой модели. При отказе healthcheck сценарий возвращает старый образ. Секреты: `VPS_HOST`, `VPS_USER`, `VPS_SSH_KEY`.
+CI (`ci.yml`): `pytest` на Python 3.12 x86_64 со встроенным Postgres, `docker build`, smoke образа. Деплой (`deploy.yml`, push в `main` или вручную): после CI образ едет на VPS по SSH как `inference:current`, прежний `current` получает тег `inference:previous`. Перезапускаются все сервисы compose с именем `inference` или `inference-<суффикс>`, сценарий ждёт `healthy` у каждого. Новая версия прогревает окно из `events`. Если хоть один не поднялся, `inference:previous` снова становится `current` и все сервисы пересоздаются. Бэкап перед full-no2021 (`~/backend/model-backups/before-full-no2021/`, образ `inference:rollback-before-full-no2021`) не удаляется. Секреты: `VPS_HOST`, `VPS_USER`, `VPS_SSH_KEY`.
 
-Ручной откат на VPS: `sudo docker tag inference:rollback-before-full-no2021 inference:current`, затем из `~/backend` выполнить `sudo docker compose up -d --no-deps inference` и дождаться `healthy`. Снимок событий нужен для разбора и возможной конвертации состояния; штатный прогрев читает события непосредственно из PostgreSQL.
+Ручной откат на VPS: `sudo docker tag inference:previous inference:current`, затем из `~/backend` выполнить `sudo docker compose up -d --no-deps --force-recreate inference` (и остальные `inference-*`) и дождаться `healthy`. Откат на модель до full-no2021: то же с тегом `inference:rollback-before-full-no2021`.
 
 Тесты: SQL-часть поднимает встроенный Postgres (`pgserver`) без Docker. Если пакета нет, эти тесты пропускаются.
 

From 5712eb3739dde5351d5c6fd3a432a5574149c061 Mon Sep 17 00:00:00 2001
From: UsatovPavel <dbpfynbqcrfzbvgthbz@gmail.com>
Date: Mon, 28 Sep 2026 22:30:32 +0300
Subject: [PATCH 2/5] feat(ml): add incident v4 500

---
 .github/workflows/deploy.yml           |   4 +-
 Dockerfile                             |   3 +-
 app.py                                 |  15 ++-
 data/incident4/incident_by_sensor.json |  15 +++
 data/incident4/manifest.json           |   8 ++
 data/incident4/model_500.cbm           | Bin 0 -> 4168084 bytes
 docs/incident-v4-500.md                |  24 +++++
 inference/config.py                    |  16 ++-
 inference/incident.py                  | 131 +++++++++++++++++++++++++
 inference/predictions.py               |  13 ++-
 inference/runner.py                    |  75 +++++++++++++-
 tests/test_db_schema.sql               |   4 +
 tests/test_incident.py                 | 116 ++++++++++++++++++++++
 13 files changed, 407 insertions(+), 17 deletions(-)
 create mode 100644 data/incident4/incident_by_sensor.json
 create mode 100644 data/incident4/manifest.json
 create mode 100644 data/incident4/model_500.cbm
 create mode 100644 docs/incident-v4-500.md
 create mode 100644 inference/incident.py
 create mode 100644 tests/test_incident.py

diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml
index 0a05a00..ec3cb16 100644
--- a/.github/workflows/deploy.yml
+++ b/.github/workflows/deploy.yml
@@ -21,7 +21,7 @@ jobs:
   deploy:
     needs: test
     runs-on: ubuntu-latest
-    timeout-minutes: 40
+    timeout-minutes: 50
     env:
       IMAGE: inference:${{ github.sha }}
       REMOTE_DIR: backend
@@ -119,7 +119,7 @@ jobs:
 
           # Прогрев окон за 3 дня — минуты; ждём healthy, а не running.
           wait_healthy() {
-            local deadline=$((SECONDS + 900)) service id status
+            local deadline=$((SECONDS + 2100)) service id status
             for service in $services; do
               while :; do
                 id=$(sudo -n docker compose ps -q "$service")
diff --git a/Dockerfile b/Dockerfile
index 4586073..9be1946 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -26,13 +26,14 @@ RUN useradd --system --uid 10001 --no-create-home inference \
 COPY app.py config.yml ./
 COPY inference/ inference/
 COPY data/best_model.cbm data/best_model.cbm
+COPY data/incident4/ data/incident4/
 COPY data/feature_encoding.json data/feature_encoding.json
 
 USER inference
 VOLUME /app/runtime
 
 # start-period покрывает загрузку модели и прогрев окон за 3 дня.
-HEALTHCHECK --interval=30s --timeout=10s --start-period=10m --retries=3 \
+HEALTHCHECK --interval=30s --timeout=10s --start-period=35m --retries=3 \
     CMD ["python", "-m", "inference.health"]
 
 CMD ["python", "-m", "inference.runner"]
diff --git a/app.py b/app.py
index 0a4e90e..29b178c 100644
--- a/app.py
+++ b/app.py
@@ -528,6 +528,10 @@ def compile_model_features(
             )
             continue
 
+        if feature == "hours_since_prev_target":
+            specs.append(FeatureSpec(kind="prev_target"))
+            continue
+
         specs.append(
             FeatureSpec(
                 kind="static",
@@ -1365,6 +1369,7 @@ def _build_feature_row(
         self,
         sensor_id: int,
         at: datetime,
+        hours_since_prev_target: float | None = None,
     ) -> list[Any]:
         if (
             sensor_id
@@ -1513,6 +1518,9 @@ def _build_feature_row(
                     at.isoweekday()
                 )
 
+            elif spec.kind == "prev_target":
+                value = hours_since_prev_target
+
             elif spec.kind == "one_hot":
                 source = metadata[spec.name]
                 value = int(
@@ -1559,6 +1567,7 @@ def _explain(
         row: list[Any],
         raw_prediction: float,
         horizon_hours: float,
+        top_n: int = 10,
     ) -> dict[str, Any]:
         started = (
             time.perf_counter()
@@ -1611,7 +1620,7 @@ def _explain(
                 )
             ),
             reverse=True,
-        )[:10]
+        )[:top_n]
 
         top = []
 
@@ -1790,6 +1799,9 @@ def predict(
                 self._build_feature_row(
                     sensor_id=sensor_id,
                     at=timestamp,
+                    hours_since_prev_target=payload.get(
+                        "hours_since_prev_target"
+                    ),
                 )
             )
 
@@ -1874,6 +1886,7 @@ def predict(
                         horizon_hours=(
                             horizon_hours
                         ),
+                        top_n=(11 if payload.get("_incident_report") else 10),
                     )
                 )
 
diff --git a/data/incident4/incident_by_sensor.json b/data/incident4/incident_by_sensor.json
new file mode 100644
index 0000000..6bba78e
--- /dev/null
+++ b/data/incident4/incident_by_sensor.json
@@ -0,0 +1,15 @@
+{
+  "Датчик дыма": "FIRE",
+  "Ручной извещатель": "FIRE",
+  "Тепловой датчик": "FIRE",
+  "Состояние УИР-Р": "FIRE",
+  "Состояние насоса": "FLOOD",
+  "Датчик затопления": "FLOOD",
+  "Газовый датчик": "GAS",
+  "Датчик движения": "INTRUSION",
+  "КД Дверь": "INTRUSION",
+  "КД Люк": "INTRUSION",
+  "КД АВ": "INTRUSION",
+  "Стекло": "INTRUSION",
+  "9-секционный люк": "INTRUSION"
+}
\ No newline at end of file
diff --git a/data/incident4/manifest.json b/data/incident4/manifest.json
new file mode 100644
index 0000000..63796e6
--- /dev/null
+++ b/data/incident4/manifest.json
@@ -0,0 +1,8 @@
+{
+  "model": "model_500.cbm",
+  "sha256": "178c874ca373a5c48327d4a221379ea9ee166480385393425b96dd5002ce21f9",
+  "trees": 500,
+  "features": 177,
+  "horizon_hours": 30,
+  "classes": ["FIRE", "FLOOD", "GAS", "INTRUSION"]
+}
diff --git a/data/incident4/model_500.cbm b/data/incident4/model_500.cbm
new file mode 100644
index 0000000000000000000000000000000000000000..a420ddd54bfa25646500e21c218e5b395ba66360
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diff --git a/docs/incident-v4-500.md b/docs/incident-v4-500.md
new file mode 100644
index 0000000..22fafaf
--- /dev/null
+++ b/docs/incident-v4-500.md
@@ -0,0 +1,24 @@
+# Incident v4 500
+
+The second inference container uses `data/incident4/model_500.cbm` and
+`PREDICTION_KIND=INCIDENT`. It writes FIRE, FLOOD, GAS or INTRUSION with a
+30-hour horizon. The equipment container retains `CHANNEL_EVENT` and its
+own cursor and model version.
+
+`hours_since_prev_target` is the time since the previous target alarm on the
+same channel, excluding the current event. On restart, the runner loads its
+checkpoint only if it matches the event cursor. Otherwise it queries alarm
+history from Postgres. Before the first production start, verify that the
+`alarm_backfill` marker exists and inspect `EXPLAIN ANALYZE` for the history
+query on the stand. The backfill changes `events.is_alarm`; the source journal
+alarm flag for intrusion is no longer separately available in Postgres, so
+historical intrusion targets cannot exactly reproduce training labels.
+
+At most eight incident SHAP explanations start per tick, and no new one starts
+after 500 ms of accumulated SHAP time. Predictions beyond this limit still
+write with `shap = null`; `shap_skipped` appears in the runner log. For the
+interpretation report, the Backend hides `тип_датчика` from the displayed top
+causes and fills the list with the next strongest feature. The stored incident
+SHAP retains eleven candidates so that ten remain available for display; the
+model input and raw SHAP audit still contain `тип_датчика`. The report must
+disclose this display filter.
diff --git a/inference/config.py b/inference/config.py
index 0d00f20..ca8625a 100644
--- a/inference/config.py
+++ b/inference/config.py
@@ -26,15 +26,15 @@
 STATEMENT_TIMEOUT = "-c statement_timeout=30s"
 
 
-def model_version(model_path: Path) -> str:
-    """catboost-aft-<первые 12 hex sha256 файла модели>."""
+def model_version(model_path: Path, prefix: str = "catboost-aft-") -> str:
+    """Версия по SHA-256 модели с префиксом семейства прогнозов."""
     digest = hashlib.sha256()
 
     with model_path.open("rb") as file:
         for chunk in iter(lambda: file.read(1 << 20), b""):
             digest.update(chunk)
 
-    return f"catboost-aft-{digest.hexdigest()[:12]}"
+    return f"{prefix}{digest.hexdigest()[:12]}"
 
 
 @dataclass(slots=True, frozen=True)
@@ -54,6 +54,7 @@ class InferenceSettings:
 
     # Пишется в prediction_log.model_version.
     model_version: str
+    prediction_kind: str = "EQUIPMENT"
 
     @classmethod
     def from_env(
@@ -77,6 +78,12 @@ def from_env(
 
         district = env.get("WEATHER_DISTRICT_ID")
 
+        prediction_kind = env.get("PREDICTION_KIND", "EQUIPMENT").upper()
+        if prediction_kind not in {"EQUIPMENT", "INCIDENT"}:
+            raise ValueError("PREDICTION_KIND must be EQUIPMENT or INCIDENT")
+        prefix = ("incident4-v4-" if prediction_kind == "INCIDENT"
+                  else "catboost-aft-")
+
         return cls(
             service=service,
             horizon_hours=normalize_horizon_hours(
@@ -91,8 +98,9 @@ def from_env(
             ),
             model_version=(
                 env.get("MODEL_VERSION")
-                or model_version(service.model_path)
+                or model_version(service.model_path, prefix)
             ),
+            prediction_kind=prediction_kind,
         )
 
 
diff --git a/inference/incident.py b/inference/incident.py
new file mode 100644
index 0000000..682c975
--- /dev/null
+++ b/inference/incident.py
@@ -0,0 +1,131 @@
+"""Four-class incident routing and previous target history."""
+from __future__ import annotations
+
+import json
+import os
+from dataclasses import dataclass, field
+from datetime import datetime
+from pathlib import Path
+from typing import Mapping
+
+import psycopg
+
+SENSOR_CLASSES = json.loads(
+    (Path(__file__).resolve().parent.parent / "data/incident4/incident_by_sensor.json")
+    .read_text(encoding="utf-8")
+)
+INCIDENT_VALUES = {
+    "FIRE": frozenset((
+        "Обнаружен дым", "Рычаг сдернут", "Рычаг сдернут влево",
+        "Рычаг сдернут вправо", "Оба рычага сдернуты",
+    )),
+    "FLOOD": frozenset((
+        "Затоплен", "Работают все насосы в АНС", "Работают все насосы АНС",
+        "Включены все насосы АНС",
+    )),
+    "GAS": frozenset(("Обнаружен газ",)),
+    "INTRUSION": frozenset((
+        "Обнаружено движение", "Движение вверх", "Движение вниз",
+        "Движение влево", "Движение вправо",
+    )),
+}
+OPEN_CONTACT = frozenset((
+    "Ручной извещатель", "Тепловой датчик", "Датчик дыма",
+    "Состояние УИР-Р", "Датчик затопления", "КД Дверь", "КД Люк",
+    "КД АВ", "Стекло", "9-секционный люк",
+))
+
+SELECT_LAST_TARGETS = """
+    SELECT DISTINCT ON (e.channel_id) e.channel_id, e.ts, e.id
+    FROM events e
+    JOIN dim_channels_current c ON c.channel_id = e.channel_id
+    WHERE e.is_alarm
+      AND (e.ts < timestamptz '2021-01-01 00:00:00+03'
+           OR e.ts >= timestamptz '2022-01-01 00:00:00+03')
+      AND (e.id <= %(low)s OR e.id = ANY(%(seen)s::bigint[]))
+      AND (
+        (c.sensor_type = ANY(%(fire)s::text[]) AND e.raw_value = ANY(%(fire_values)s::text[]))
+        OR (c.sensor_type = ANY(%(flood)s::text[]) AND e.raw_value = ANY(%(flood_values)s::text[]))
+        OR (c.sensor_type = ANY(%(gas)s::text[]) AND e.raw_value = ANY(%(gas_values)s::text[]))
+        OR (c.sensor_type = ANY(%(intrusion)s::text[]) AND e.raw_value = ANY(%(intrusion_values)s::text[]))
+        OR (c.sensor_type = ANY(%(open_contact)s::text[]) AND e.raw_value = 'Не замкнут')
+      )
+    ORDER BY e.channel_id, e.ts DESC, e.id DESC
+"""
+
+
+def incident_class(sensor_type: str | None) -> str | None:
+    return SENSOR_CLASSES.get(sensor_type)
+
+
+def is_target_alarm(sensor_type: str | None, value: str, is_alarm: bool) -> bool:
+    kind = incident_class(sensor_type)
+    return bool(
+        is_alarm and kind and (
+            value in INCIDENT_VALUES[kind]
+            or (value == "Не замкнут" and sensor_type in OPEN_CONTACT)
+        )
+    )
+
+
+@dataclass
+class TargetHistory:
+    latest: dict[int, tuple[datetime, int]] = field(default_factory=dict)
+
+    def hours_before(self, channel_id: int, at: datetime) -> float | None:
+        previous = self.latest.get(channel_id)
+        if previous is None or previous[0] > at:
+            return None
+        return (at - previous[0]).total_seconds() / 3600.0
+
+    def mark(self, channel_id: int, at: datetime, event_id: int) -> None:
+        previous = self.latest.get(channel_id)
+        if previous is None or (at, event_id) > previous:
+            self.latest[channel_id] = (at, event_id)
+
+    def save(self, path: Path, low: int, seen: set[int]) -> None:
+        tmp = path.with_name(path.name + ".tmp")
+        data = {
+            "low": low,
+            "seen": sorted(seen),
+            "latest": {str(k): [ts.isoformat(), event_id]
+                       for k, (ts, event_id) in self.latest.items()},
+        }
+        with tmp.open("w", encoding="utf-8") as file:
+            json.dump(data, file)
+            file.flush()
+            os.fsync(file.fileno())
+        os.replace(tmp, path)
+
+    @classmethod
+    def load(cls, path: Path, low: int, seen: set[int]) -> "TargetHistory | None":
+        try:
+            data = json.loads(path.read_text(encoding="utf-8"))
+            if data["low"] != low or set(data["seen"]) != seen:
+                return None
+            return cls({int(k): (datetime.fromisoformat(v[0]), int(v[1]))
+                        for k, v in data["latest"].items()})
+        except (FileNotFoundError, ValueError, KeyError, TypeError):
+            return None
+
+    @classmethod
+    def from_db(cls, conn: psycopg.Connection, low: int,
+                seen: set[int]) -> "TargetHistory":
+        marker = conn.execute(
+            "SELECT EXISTS (SELECT 1 FROM alarm_backfill)"
+        ).fetchone()[0]
+        if not marker:
+            raise RuntimeError("alarm_backfill must finish before incident inference")
+        params: dict[str, object] = {"low": low, "seen": list(seen),
+                                    "open_contact": list(OPEN_CONTACT)}
+        for kind in INCIDENT_VALUES:
+            params[kind.lower()] = [sensor for sensor, value in SENSOR_CLASSES.items()
+                                    if value == kind]
+            params[kind.lower() + "_values"] = list(INCIDENT_VALUES[kind])
+        with conn.transaction():
+            conn.execute("SET LOCAL statement_timeout = '30min'")
+            with conn.cursor(name="incident_targets") as cur:
+                cur.itersize = 10_000
+                cur.execute(SELECT_LAST_TARGETS, params)
+                return cls({int(channel): (at, int(event_id))
+                            for channel, at, event_id in cur})
diff --git a/inference/predictions.py b/inference/predictions.py
index a8d6f6e..8b46d0d 100644
--- a/inference/predictions.py
+++ b/inference/predictions.py
@@ -10,13 +10,12 @@
 import psycopg
 from psycopg.types.json import Jsonb
 
-MODEL_VERSION_PREFIX = "catboost-aft-"
 SHAP_TOP = 10
 
 INSERT_PREDICTION = """
     INSERT INTO prediction_log (target_kind, target_ref, incident_type,
         probability, horizon_until, model_version, shap)
-    VALUES ('channel', %s, 'CHANNEL_EVENT', %s, %s, %s, %s)
+    VALUES ('channel', %s, %s, %s, %s, %s, %s)
 """
 
 # Только строки этой модели: мок и чужие версии не трогаем. Строки с
@@ -40,6 +39,7 @@ class PredictionRow:
     probability: Decimal
     horizon_until: datetime
     shap: dict[str, Any] | None
+    incident_type: str = "CHANNEL_EVENT"
 
 
 def to_probability(value: float) -> Decimal:
@@ -65,6 +65,7 @@ def _plain(value: Any) -> Any:
 def shap_contract(
     shap: Mapping[str, Any],
     cat_features: frozenset[str],
+    top_n: int = SHAP_TOP,
 ) -> dict[str, Any]:
     """Выход _explain → формат prediction_log.shap из 014.
 
@@ -75,7 +76,7 @@ def shap_contract(
         shap["top"],
         key=lambda item: abs(float(item["shap_raw"])),
         reverse=True,
-    )[:SHAP_TOP]
+    )[:top_n]
 
     items = []
     for item in top:
@@ -106,6 +107,7 @@ def write_predictions(
     params = [
         (
             str(row.channel_id),
+            row.incident_type,
             row.probability,
             row.horizon_until,
             model_version,
@@ -121,7 +123,10 @@ def write_predictions(
 def delete_expired(
     conn: psycopg.Connection,
     model_version: str,
+    prediction_kind: str = "EQUIPMENT",
 ) -> int:
+    prefix = ("incident4-v4-" if prediction_kind == "INCIDENT"
+              else "catboost-aft-")
     with conn.cursor() as cur:
-        cur.execute(DELETE_EXPIRED, (MODEL_VERSION_PREFIX, model_version))
+        cur.execute(DELETE_EXPIRED, (prefix, model_version))
         return cur.rowcount
diff --git a/inference/runner.py b/inference/runner.py
index 0749c9c..d0ae933 100644
--- a/inference/runner.py
+++ b/inference/runner.py
@@ -24,6 +24,7 @@
 from inference.config import connect as pg_connect
 from inference.cursor import EventCursor
 from inference.health import HEARTBEAT_FILE, READY_FILE
+from inference.incident import TargetHistory, incident_class, is_target_alarm
 from inference.predictions import (
     PredictionRow,
     delete_expired,
@@ -38,6 +39,7 @@
 log = logging.getLogger("inference")
 
 CURSOR_FILE = "events_cursor.json"
+TARGETS_FILE = "incident_targets.json"
 
 SELECT_MAX_ID = "SELECT coalesce(max(id), 0) FROM events"
 
@@ -52,7 +54,7 @@
 
 # Фильтр по ts отсекает старые партиции и импорт истории вне окон.
 SELECT_NEW = """
-    SELECT id, channel_id, ts, raw_value FROM events
+    SELECT id, channel_id, ts, raw_value, is_alarm FROM events
     WHERE ts >= %(since)s AND id > %(low)s
       AND id <> ALL(%(seen)s::bigint[])
     ORDER BY id
@@ -74,6 +76,8 @@ class RunnerSettings:
     metadata_refresh_seconds: float = 3600.0
     metadata_retry_seconds: float = 600.0
     backoff_max_seconds: float = 60.0
+    shap_max_per_tick: int = 8
+    shap_budget_ms: float = 500.0
 
     @classmethod
     def from_env(
@@ -94,6 +98,8 @@ def from_env(
             metadata_retry_seconds=_env_float(
                 env, "METADATA_RETRY_SECONDS", 600.0
             ),
+            shap_max_per_tick=int(env.get("SHAP_MAX_PER_TICK") or 8),
+            shap_budget_ms=_env_float(env, "SHAP_BUDGET_MS", 500.0),
         )
 
 
@@ -107,6 +113,8 @@ class TickCounters:
     failed: int = 0
     failed_write_prep: int = 0
     shap: int = 0
+    shap_skipped: int = 0
+    skipped_nonincident: int = 0
     expired: int = 0
     write_ms: float = 0.0
     lag_seconds: float | None = None
@@ -127,6 +135,7 @@ class EventRow:
     channel_id: int
     ts: datetime
     raw_value: str
+    is_alarm: bool
 
 
 def utcnow() -> datetime:
@@ -166,6 +175,8 @@ def __init__(
         self._ttl_at = float("-inf")
         self.totals = TickCounters()
         self.last_tick = TickCounters()
+        self.targets: TargetHistory | None = None
+        self._tick_shap_ms = 0.0
         self._logged_at = float("-inf")
         self._traceback_at = float("-inf")
 
@@ -202,6 +213,14 @@ def start(self, conn: psycopg.Connection) -> None:
                     low, lag_seconds=self.options.reorder_lag_seconds
                 )
             rows = self._warmup(conn, service, cursor)
+            if self.settings.prediction_kind == "INCIDENT":
+                self.targets = TargetHistory.load(
+                    self.path(TARGETS_FILE), cursor.low, cursor.seen
+                )
+                if self.targets is None:
+                    self.targets = TargetHistory.from_db(
+                        conn, cursor.low, cursor.seen
+                    )
         except BaseException:
             service.close()
             raise
@@ -213,6 +232,8 @@ def start(self, conn: psycopg.Connection) -> None:
         self.cursor = cursor
         self._metadata_at = self.monotonic()
         cursor.save(self.path(CURSOR_FILE))
+        if self.targets is not None:
+            self.targets.save(self.path(TARGETS_FILE), cursor.low, cursor.seen)
         self.path(READY_FILE).touch()
         log.info(
             "started fresh=%s low=%d seen=%d warmup_rows=%d channels=%d "
@@ -260,6 +281,7 @@ def tick(self, conn: psycopg.Connection) -> bool:
         """Один проход; True — страница полная, читать дальше без паузы."""
         assert self.service is not None and self.cursor is not None
         counters = TickCounters(ticks=1)
+        self._tick_shap_ms = 0.0
 
         # Прогнозы прошлого такта, не записанные из-за сбоя БД.
         counters.write_ms += self._flush(conn)
@@ -271,7 +293,9 @@ def tick(self, conn: psycopg.Connection) -> bool:
             self._reload_metadata(conn, "periodic")
 
         if self.monotonic() - self._ttl_at >= self.options.ttl_interval_seconds:
-            counters.expired = delete_expired(conn, self.settings.model_version)
+            counters.expired = delete_expired(
+                conn, self.settings.model_version, self.settings.prediction_kind
+            )
             self._ttl_at = self.monotonic()
 
         events = self._fetch(conn)
@@ -290,6 +314,10 @@ def tick(self, conn: psycopg.Connection) -> bool:
         self.cursor.advance(self.monotonic())
         if self.cursor.dirty:
             self.cursor.save(self.path(CURSOR_FILE))
+            if self.targets is not None:
+                self.targets.save(
+                    self.path(TARGETS_FILE), self.cursor.low, self.cursor.seen
+                )
 
         self.last_tick = counters
         self._log_tick(counters)
@@ -330,6 +358,20 @@ def _process(
                 counters.skipped_unknown += 1
                 return
 
+        sensor_type = service.metadata[event.channel_id].get("тип_датчика")
+        target_alarm = False
+        previous_hours = None
+        incident = "CHANNEL_EVENT"
+        if self.targets is not None:
+            incident = incident_class(sensor_type)
+            if incident is None:
+                counters.skipped_nonincident += 1
+                return
+            target_alarm = is_target_alarm(
+                sensor_type, event.raw_value, event.is_alarm
+            )
+            previous_hours = self.targets.hours_before(event.channel_id, event.ts)
+
         horizon_until = event.ts + self.horizon
 
         if horizon_until < now:
@@ -344,10 +386,17 @@ def _process(
                     )
                 except ValueError:
                     pass
+            if target_alarm:
+                self.targets.mark(event.channel_id, event.ts, event.id)
             return
 
         date_value, time_value = to_model_fields(event.ts)
         try:
+            shap_allowed = (
+                self.targets is None
+                or (counters.shap < self.options.shap_max_per_tick
+                    and self._tick_shap_ms < self.options.shap_budget_ms)
+            )
             result = service.predict(
                 {
                     ID_COL: event.channel_id,
@@ -355,7 +404,9 @@ def _process(
                     TIME_COL: time_value,
                     VALUE_COL: event.raw_value,
                     HORIZON_HOURS_FIELD: self.settings.horizon_hours,
-                    "add_shap": "auto",
+                    "add_shap": "auto" if shap_allowed else "none",
+                    "hours_since_prev_target": previous_hours,
+                    "_incident_report": self.targets is not None,
                 }
             )
         except KeyError:
@@ -370,18 +421,28 @@ def _process(
             self._log_failure("predict", event.id)
             counters.failed += 1
             return
+        finally:
+            if target_alarm:
+                self.targets.mark(event.channel_id, event.ts, event.id)
+
+        shap = result.get("shap")
+        if shap is not None:
+            self._tick_shap_ms += float(shap.get("calculation_ms", 0.0))
+        elif not shap_allowed and result["probability"] > service.config.shap_auto_threshold:
+            counters.shap_skipped += 1
 
         # Отдельно от predict: сломанный формат ответа ядра (NaN, новое
         # имя ключа shap) — наш сбой, а не пропуск unknown/ooo.
         try:
-            shap = result.get("shap")
             row = PredictionRow(
                 channel_id=event.channel_id,
                 probability=to_probability(result["probability"]),
                 horizon_until=horizon_until,
                 shap=None if shap is None else shap_contract(
-                    shap, self._cat_features(service)
+                    shap, self._cat_features(service),
+                    top_n=11 if self.targets is not None else 10,
                 ),
+                incident_type=incident,
             )
         except Exception:  # noqa: BLE001
             self._log_failure("write_prep", event.id)
@@ -490,6 +551,10 @@ def _shutdown(self, conn: psycopg.Connection | None) -> None:
             if conn is not None and not conn.closed and self.cursor is not None:
                 self._flush(conn)
                 self.cursor.save(self.path(CURSOR_FILE))
+                if self.targets is not None:
+                    self.targets.save(
+                        self.path(TARGETS_FILE), self.cursor.low, self.cursor.seen
+                    )
         except psycopg.Error as exc:
             # Не записанные строки пересчитаются после рестарта.
             log.warning("final flush failed: %s", exc)
diff --git a/tests/test_db_schema.sql b/tests/test_db_schema.sql
index 562daf3..dad24cb 100644
--- a/tests/test_db_schema.sql
+++ b/tests/test_db_schema.sql
@@ -79,6 +79,10 @@ CREATE TABLE events (
 ) PARTITION BY RANGE (ts);
 CREATE TABLE events_default PARTITION OF events DEFAULT;
 
+CREATE TABLE alarm_backfill (finished_at timestamptz NOT NULL DEFAULT now());
+INSERT INTO alarm_backfill DEFAULT VALUES;
+GRANT SELECT ON alarm_backfill TO inference;
+
 CREATE TABLE reason_codes (
     code         text PRIMARY KEY,
     description  text NOT NULL
diff --git a/tests/test_incident.py b/tests/test_incident.py
new file mode 100644
index 0000000..9b147c9
--- /dev/null
+++ b/tests/test_incident.py
@@ -0,0 +1,116 @@
+from __future__ import annotations
+
+import hashlib
+from dataclasses import replace
+from datetime import datetime, timedelta, timezone
+from pathlib import Path
+
+import pytest
+
+from inference.config import InferenceSettings
+from inference.incident import TargetHistory, incident_class, is_target_alarm
+from inference.runner import Runner, RunnerSettings
+from tests.test_runner import CHANNEL, db, predictions
+from tests.test_service import PG_ENV
+
+ROOT = Path(__file__).resolve().parent.parent
+
+
+def test_v4_500_artifact_is_pinned() -> None:
+    digest = hashlib.sha256(
+        (ROOT / "data/incident4/model_500.cbm").read_bytes()
+    ).hexdigest()
+    assert digest == "178c874ca373a5c48327d4a221379ea9ee166480385393425b96dd5002ce21f9"
+
+
+def test_incident_mapping_and_prior_target(tmp_path: Path) -> None:
+    assert incident_class("КД АВ") == "INTRUSION"
+    assert incident_class("Датчик дыма") == "FIRE"
+    assert incident_class("Датчик температуры") is None
+    assert is_target_alarm("КД АВ", "Не замкнут", True)
+    assert not is_target_alarm("КД АВ", "Неисправен", True)
+    assert not is_target_alarm("КД АВ", "Не замкнут", False)
+
+    now = datetime(2026, 9, 28, tzinfo=timezone.utc)
+    history = TargetHistory()
+    assert history.hours_before(CHANNEL, now) is None
+    history.mark(CHANNEL, now - timedelta(hours=24), 11)
+    assert history.hours_before(CHANNEL, now) == 24
+    history.mark(CHANNEL, now - timedelta(hours=48), 12)
+    assert history.hours_before(CHANNEL, now) == 24
+    path = tmp_path / "targets.json"
+    history.save(path, 20, {21})
+    assert TargetHistory.load(path, 20, {21}) == history
+    assert TargetHistory.load(path, 20, set()) is None
+
+
+def test_incident_runner_routes_and_caps_shap(db, tmp_path: Path) -> None:
+    settings = InferenceSettings.from_env({
+        **PG_ENV,
+        "WEATHER_DISTRICT_ID": "5773",
+        "PREDICTION_KIND": "INCIDENT",
+        "MODEL_PATH": str(ROOT / "data/incident4/model_500.cbm"),
+    })
+    settings = replace(
+        settings,
+        service=replace(settings.service, shap_auto_threshold=0.0),
+    )
+    runner = Runner(
+        settings,
+        RunnerSettings(runtime_dir=tmp_path / "runtime", shap_max_per_tick=1),
+        connect=db.inference,
+    )
+    now = datetime.now(timezone.utc)
+    with db.admin() as conn:
+        conn.execute(
+            "INSERT INTO events (event_id, channel_id, ts, is_alarm, raw_value) "
+            "VALUES (10001, %s, %s, true, 'Не замкнут')",
+            (CHANNEL, now - timedelta(hours=24)),
+        )
+
+    with db.inference() as conn:
+        runner.start(conn)
+        assert runner.targets.hours_before(CHANNEL, now) == 24
+        with db.admin() as admin:
+            for offset in range(40):
+                event_id = 10002 + offset
+                value = "Не замкнут" if offset == 0 else "Норма"
+                alarm = offset == 0
+                admin.execute(
+                    "INSERT INTO events (event_id, channel_id, ts, is_alarm, raw_value) "
+                    "VALUES (%s, %s, %s, %s, %s)",
+                    (event_id, CHANNEL, now + timedelta(seconds=offset),
+                     alarm, value),
+                )
+        runner.tick(conn)
+
+    rows = predictions(db)
+    assert len(rows) == 40
+    assert {row[2] for row in rows} == {"INTRUSION"}
+    assert all(row[5].startswith("incident4-v4-") for row in rows)
+    assert sum(row[6] is not None for row in rows) == 1
+    assert runner.last_tick.shap_skipped == 39
+    assert runner.targets.hours_before(CHANNEL, now + timedelta(hours=1)) == 1
+    runner.service.close()
+
+
+def test_history_ignores_excluded_2021(db) -> None:
+    with db.admin() as conn:
+        for event_id, year in [(20001, 2020), (20002, 2021)]:
+            conn.execute(
+                "INSERT INTO events (event_id, channel_id, ts, is_alarm, raw_value) "
+                "VALUES (%s, %s, %s, true, 'Не замкнут')",
+                (event_id, CHANNEL, datetime(year, 6, 1, tzinfo=timezone.utc)),
+            )
+        low = conn.execute("SELECT max(id) FROM events").fetchone()[0]
+    with db.inference() as conn:
+        history = TargetHistory.from_db(conn, low, set())
+    assert history.latest[CHANNEL][0].year == 2020
+
+
+def test_history_waits_for_alarm_backfill(db) -> None:
+    with db.admin() as conn:
+        conn.execute("DELETE FROM alarm_backfill")
+    with db.inference() as conn:
+        with pytest.raises(RuntimeError, match="alarm_backfill"):
+            TargetHistory.from_db(conn, 0, set())

From 26461ce33a0bbba218e2c694f2c9896622bbb763 Mon Sep 17 00:00:00 2001
From: UsatovPavel <dbpfynbqcrfzbvgthbz@gmail.com>
Date: Mon, 28 Sep 2026 22:51:31 +0300
Subject: [PATCH 3/5] feat(ml): seed incident history

---
 data/incident4/manifest.json      |  2 +
 data/incident4/target_seed.json   |  1 +
 docs/incident-v4-500.md           | 19 +++++---
 inference/incident.py             | 75 +++++++++++++++++------------
 inference/runner.py               |  6 ++-
 retraining/build_incident_seed.py | 78 +++++++++++++++++++++++++++++++
 tests/test_db_schema.sql          | 10 ++++
 tests/test_incident.py            | 69 +++++++++++++++++++--------
 8 files changed, 202 insertions(+), 58 deletions(-)
 create mode 100644 data/incident4/target_seed.json
 create mode 100644 retraining/build_incident_seed.py

diff --git a/data/incident4/manifest.json b/data/incident4/manifest.json
index 63796e6..6080f3e 100644
--- a/data/incident4/manifest.json
+++ b/data/incident4/manifest.json
@@ -1,6 +1,8 @@
 {
   "model": "model_500.cbm",
   "sha256": "178c874ca373a5c48327d4a221379ea9ee166480385393425b96dd5002ce21f9",
+  "target_seed_sha256": "3161acd2ab38454f009aeb2b088ba53d7c673603ea9306aad7d5b4c87ae05deb",
+  "target_seed_source_rows": 259283128,
   "trees": 500,
   "features": 177,
   "horizon_hours": 30,
diff --git a/data/incident4/target_seed.json b/data/incident4/target_seed.json
new file mode 100644
index 0000000..0a13172
--- /dev/null
+++ b/data/incident4/target_seed.json
@@ -0,0 +1 @@
+{"cutoff": "2026-07-01T00:00:00+03:00", "latest": {"103910": ["2026-06-22T10:38:35+03:00", 3410294568, "FLOOD"], "103911": ["2026-06-22T10:38:45+03:00", 3410294803, "FLOOD"], "103925": ["2026-06-25T10:00:04+03:00", 3412918448, "FLOOD"], "103926": ["2026-06-26T00:57:53+03:00", 3413587126, "FLOOD"], "103937": ["2025-06-04T12:20:11+03:00", 3130544125, "FLOOD"], "103938": ["2025-06-04T12:20:47+03:00", 3130544676, "FLOOD"], "103940": ["2026-06-29T11:32:02+03:00", 3416026375, "FLOOD"], "103951": ["2026-03-19T11:15:31+03:00", 3335905340, "FLOOD"], "103952": ["2026-04-29T13:25:48+03:00", 3368092581, "FLOOD"], "103954": ["2025-11-06T10:57:55+03:00", 3236492034, "FLOOD"], "103955": ["2025-11-06T10:57:55+03:00", 3236492040, "FLOOD"], "103979": ["2025-06-04T13:00:56+03:00", 3130578268, "FLOOD"], "103980": ["2025-09-05T10:49:10+03:00", 3192985811, "FLOOD"], "104026": ["2025-07-23T11:32:38+03:00", 3162711681, "GAS"], "104027": ["2025-07-23T11:28:28+03:00", 3162707993, "GAS"], "104028": ["2025-07-23T11:26:24+03:00", 3162706316, "GAS"], "104029": ["2025-07-23T11:24:18+03:00", 3162704260, "GAS"], "104030": ["2026-02-13T08:09:42+03:00", 3310593068, "GAS"], "104031": ["2025-07-23T11:19:07+03:00", 3162699475, "GAS"], "104032": ["2025-07-23T11:16:00+03:00", 3162696804, "GAS"], "104033": ["2025-07-23T11:13:56+03:00", 3162694971, "GAS"], "104034": ["2025-07-23T11:10:14+03:00", 3162692086, "GAS"], "104035": ["2025-07-23T11:07:06+03:00", 3162689425, "GAS"], "104036": ["2025-07-23T11:05:02+03:00", 3162687423, "GAS"], "104037": ["2025-07-23T11:02:57+03:00", 3162685488, "GAS"], "104038": ["2025-07-23T11:00:20+03:00", 3162683116, "GAS"], "104039": ["2025-07-23T10:57:12+03:00", 3162680142, "GAS"], "104040": ["2025-07-23T10:55:03+03:00", 3162678340, "GAS"], "104041": ["2025-07-23T10:52:27+03:00", 3162676061, "GAS"], "104042": ["2025-07-23T10:49:19+03:00", 3162673322, "GAS"], "104043": ["2025-07-23T10:47:14+03:00", 3162671361, "GAS"], "104044": ["2025-07-23T10:43:36+03:00", 3162668053, "GAS"], "104045": ["2025-07-23T10:41:00+03:00", 3162665837, "GAS"], "104046": ["2025-07-23T10:37:53+03:00", 3162662455, "GAS"], "104047": ["2025-07-23T10:36:03+03:00", 3162660514, "GAS"], "104048": ["2025-07-23T10:33:58+03:00", 3162658193, "GAS"], "104049": ["2025-07-23T10:31:21+03:00", 3162655700, "GAS"], "104050": ["2025-07-23T10:29:17+03:00", 3162653683, "GAS"], "104051": ["2025-07-23T10:25:36+03:00", 3162650239, "GAS"], "104052": ["2025-07-23T10:23:31+03:00", 3162648421, "GAS"], "104053": ["2025-07-23T10:20:55+03:00", 3162646014, "GAS"], "104054": ["2025-07-23T10:17:16+03:00", 3162642379, "GAS"], "104055": ["2025-07-23T10:12:32+03:00", 3162637157, "GAS"], "104056": ["2025-07-23T10:09:55+03:00", 3162634663, "GAS"], "104057": ["2025-07-23T10:05:45+03:00", 3162630425, "GAS"], "104058": ["2025-07-23T10:03:10+03:00", 3162627703, "GAS"], "104059": ["2025-07-23T09:59:29+03:00", 3162623940, "GAS"], "104060": ["2025-07-23T09:56:53+03:00", 3162621350, "GAS"], "104061": ["2025-07-23T09:53:14+03:00", 3162617769, "GAS"], "104062": ["2025-07-23T09:50:38+03:00", 3162615540, "GAS"], "104063": ["2025-07-23T09:46:29+03:00", 3162611547, "GAS"], "104064": ["2025-07-23T09:44:24+03:00", 3162609622, "GAS"], "104065": ["2025-07-23T09:41:16+03:00", 3162606734, "GAS"], "104066": ["2025-07-23T09:38:39+03:00", 3162604192, "GAS"], "104813": ["2022-09-21T05:15:23+03:00", 2421336124, "INTRUSION"], "104814": ["2022-09-21T05:25:01+03:00", 2421338587, "INTRUSION"], "113981": ["2026-04-08T13:18:07+03:00", 3351500703, "INTRUSION"], "113983": ["2026-04-08T12:34:09+03:00", 3351454150, "INTRUSION"], "113985": ["2026-05-08T09:53:55+03:00", 3374557324, "INTRUSION"], "113987": ["2026-04-08T13:20:14+03:00", 3351503266, "INTRUSION"], "113988": ["2026-05-08T09:56:06+03:00", 3374559835, "INTRUSION"], "113990": ["2026-05-08T09:58:12+03:00", 3374562239, "INTRUSION"], "113991": ["2026-04-08T13:17:52+03:00", 3351500422, "INTRUSION"], "113992": ["2026-04-08T13:03:16+03:00", 3351485005, "INTRUSION"], "113994": ["2026-06-26T14:56:05+03:00", 3414228530, "INTRUSION"], "113995": ["2026-04-08T12:05:27+03:00", 3351420524, "INTRUSION"], "113996": ["2026-04-08T12:03:28+03:00", 3351417941, "INTRUSION"], "113998": ["2026-05-08T10:10:21+03:00", 3374576747, "INTRUSION"], "113999": ["2026-06-26T12:46:30+03:00", 3414096277, "INTRUSION"], "114000": ["2026-06-26T14:49:11+03:00", 3414221545, "INTRUSION"], "114002": ["2019-02-15T11:17:14+03:00", 1412983393, "INTRUSION"], "114003": ["2026-05-08T13:12:21+03:00", 3374774821, "INTRUSION"], "114005": ["2026-05-08T13:11:10+03:00", 3374773729, "FIRE"], "114006": ["2026-05-08T13:12:51+03:00", 3374775316, "FIRE"], "114008": ["2026-05-08T13:10:38+03:00", 3374773261, "FIRE"], "114009": ["2026-05-08T13:13:12+03:00", 3374775633, "FIRE"], "114011": ["2026-05-08T10:13:18+03:00", 3374580345, "FIRE"], "114012": ["2026-05-08T10:13:18+03:00", 3374580346, "FIRE"], "114013": ["2026-05-08T10:13:18+03:00", 3374580348, "FIRE"], "114014": ["2026-05-08T10:13:18+03:00", 3374580349, "FIRE"], "114015": ["2026-05-08T10:13:18+03:00", 3374580363, "FIRE"], "114016": ["2026-05-08T10:13:18+03:00", 3374580364, "FIRE"], "114046": ["2026-05-23T15:51:18+03:00", 3386854773, "INTRUSION"], "115208": ["2025-08-11T13:49:38+03:00", 3176909740, "INTRUSION"], "115209": ["2026-06-22T11:39:38+03:00", 3410363448, "INTRUSION"], "115211": ["2019-02-25T14:12:33+03:00", 1420653926, "INTRUSION"], "115215": ["2025-12-02T19:52:51+03:00", 3256249888, "INTRUSION"], "115216": ["2026-05-26T12:45:20+03:00", 3388932801, "INTRUSION"], "115217": ["2025-11-11T16:52:40+03:00", 3240601605, "INTRUSION"], "115218": ["2026-03-06T19:25:16+03:00", 3326846030, "INTRUSION"], "115223": ["2025-10-02T15:41:20+03:00", 3212207146, "INTRUSION"], "115225": ["2019-02-25T13:29:54+03:00", 1420599409, "INTRUSION"], "115229": ["2025-05-15T17:21:34+03:00", 3117832605, "INTRUSION"], "115230": ["2026-06-24T20:13:16+03:00", 3412531158, "INTRUSION"], "115231": 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["2025-09-09T11:39:20+03:00", 3195536565, "FIRE"], "98162": ["2025-09-09T11:39:35+03:00", 3195537001, "FIRE"], "98163": ["2019-09-29T21:37:50+03:00", 1586991490, "INTRUSION"], "98164": ["2019-09-29T21:38:37+03:00", 1586991540, "INTRUSION"], "98165": ["2024-04-10T11:55:21+03:00", 2829470175, "INTRUSION"], "98166": ["2019-02-05T12:45:24+03:00", 1405643345, "INTRUSION"], "98167": ["2025-09-09T11:39:54+03:00", 3195537512, "FIRE"], "98168": ["2025-09-09T11:39:28+03:00", 3195536773, "FIRE"], "98169": ["2025-09-09T12:22:03+03:00", 3195588432, "FIRE"], "98170": ["2019-02-05T13:32:53+03:00", 1405697415, "INTRUSION"], "98171": ["2019-02-05T12:35:18+03:00", 1405630325, "INTRUSION"], "98172": ["2024-04-10T12:00:43+03:00", 2829470208, "INTRUSION"], "98173": ["2026-06-04T11:52:05+03:00", 3396449086, "FIRE"], "98174": ["2026-06-04T11:59:07+03:00", 3396458818, "FIRE"], "98175": ["2026-06-04T12:02:06+03:00", 3396463298, "FIRE"], "98176": ["2019-02-05T12:39:37+03:00", 1405635736, "INTRUSION"], "98177": ["2024-04-10T12:06:36+03:00", 2829470230, "INTRUSION"], "98178": ["2024-04-10T12:08:28+03:00", 2829470238, "INTRUSION"], "98179": ["2026-06-04T17:27:07+03:00", 3396788013, "FIRE"], "98181": ["2019-02-05T12:39:39+03:00", 1405635802, "INTRUSION"], "98182": ["2026-06-04T12:14:57+03:00", 3396477968, "FIRE"], "98183": ["2026-06-04T17:21:53+03:00", 3396785410, "FIRE"], "98184": ["2020-06-12T20:06:48+03:00", 1797686491, "INTRUSION"], "98185": ["2026-06-04T12:20:19+03:00", 3396484400, "FIRE"], "98187": ["2025-09-08T20:00:55+03:00", 3194992573, "FIRE"], "98188": ["2026-06-04T12:27:22+03:00", 3396491981, "FIRE"], "98189": ["2026-06-04T12:33:07+03:00", 3396497865, "FIRE"], "98190": ["2026-06-04T12:40:26+03:00", 3396505487, "FIRE"], "98191": ["2026-06-04T12:40:17+03:00", 3396505347, "FIRE"], "98194": ["2026-06-04T12:47:10+03:00", 3396513412, "FIRE"], "98195": ["2026-06-04T17:43:05+03:00", 3396795163, "FIRE"], "98196": ["2022-07-28T07:09:54+03:00", 2382148697, "INTRUSION"], "98198": ["2023-05-08T00:10:23+03:00", 2585029688, "INTRUSION"], "98202": ["2025-09-09T11:40:04+03:00", 3195537844, "FIRE"], "98203": ["2025-09-09T11:40:04+03:00", 3195537846, "FIRE"], "98204": ["2025-09-09T11:40:04+03:00", 3195537849, "FIRE"], "98205": ["2025-09-09T11:40:04+03:00", 3195537850, "FIRE"], "98206": ["2025-09-09T11:40:04+03:00", 3195537852, "FIRE"], "98208": ["2022-09-08T09:13:47+03:00", 2411179166, "INTRUSION"], "98210": ["2026-06-30T11:41:53+03:00", 3417062087, "INTRUSION"], "98213": ["2025-06-30T21:07:27+03:00", 3146217681, "FIRE"], "98214": ["2025-06-30T21:07:27+03:00", 3146217682, "FIRE"], "98221": ["2025-09-09T11:39:53+03:00", 3195537486, "FIRE"], "98222": ["2025-09-09T11:39:53+03:00", 3195537487, "FIRE"], "98223": ["2024-04-10T11:35:22+03:00", 2829470144, "INTRUSION"], "98224": ["2025-09-09T11:39:53+03:00", 3195537488, "FIRE"], "98275": ["2026-03-19T12:07:47+03:00", 3335982552, "GAS"], "98276": ["2026-03-19T12:21:30+03:00", 3335999359, "GAS"], "98277": ["2026-03-19T11:20:35+03:00", 3335912175, "GAS"], "98278": ["2026-03-19T09:11:17+03:00", 3335733057, "GAS"], "98279": ["2026-03-19T09:48:15+03:00", 3335783492, "GAS"], "98281": ["2026-03-19T10:25:42+03:00", 3335835421, "GAS"], "98282": ["2026-03-19T10:57:24+03:00", 3335880337, "GAS"]}}
diff --git a/docs/incident-v4-500.md b/docs/incident-v4-500.md
index 22fafaf..aa63a41 100644
--- a/docs/incident-v4-500.md
+++ b/docs/incident-v4-500.md
@@ -6,13 +6,18 @@ The second inference container uses `data/incident4/model_500.cbm` and
 own cursor and model version.
 
 `hours_since_prev_target` is the time since the previous target alarm on the
-same channel, excluding the current event. On restart, the runner loads its
-checkpoint only if it matches the event cursor. Otherwise it queries alarm
-history from Postgres. Before the first production start, verify that the
-`alarm_backfill` marker exists and inspect `EXPLAIN ANALYZE` for the history
-query on the stand. The backfill changes `events.is_alarm`; the source journal
-alarm flag for intrusion is no longer separately available in Postgres, so
-historical intrusion targets cannot exactly reproduce training labels.
+same channel, excluding the current event. `target_seed.json` contains the
+last target per channel from 259,283,128 original journal rows in 2019–2020
+and 2022–June 2026. The seed is built by `retraining/build_incident_seed.py`;
+2021 is excluded as in training. Backend stores a compact checkpoint for
+targets between the seed cutoff and the recent replay window. On restart, the
+runner loads its cursor checkpoint when it matches; otherwise it merges the
+seed and Backend checkpoint, then replays events from `covered_until`.
+INTRUSION uses the original `journal_is_alarm` flag preserved by Backend;
+a missing flag on a candidate event stops startup. The first rollout restores
+this column only for the most recent 72 hours from the SMVU mock journal.
+New events retain the original flag in the ingestion handler. Verify the
+backfill and replay query on the stand before production.
 
 At most eight incident SHAP explanations start per tick, and no new one starts
 after 500 ms of accumulated SHAP time. Predictions beyond this limit still
diff --git a/inference/incident.py b/inference/incident.py
index 682c975..0c9cea6 100644
--- a/inference/incident.py
+++ b/inference/incident.py
@@ -14,6 +14,7 @@
     (Path(__file__).resolve().parent.parent / "data/incident4/incident_by_sensor.json")
     .read_text(encoding="utf-8")
 )
+SEED_PATH = Path(__file__).resolve().parent.parent / "data/incident4/target_seed.json"
 INCIDENT_VALUES = {
     "FIRE": frozenset((
         "Обнаружен дым", "Рычаг сдернут", "Рычаг сдернут влево",
@@ -35,22 +36,19 @@
     "КД АВ", "Стекло", "9-секционный люк",
 ))
 
-SELECT_LAST_TARGETS = """
-    SELECT DISTINCT ON (e.channel_id) e.channel_id, e.ts, e.id
+SELECT_SINCE_CHECKPOINT = """
+    SELECT e.channel_id, e.ts, e.id, e.raw_value, e.is_alarm,
+           e.journal_is_alarm, c.sensor_type
     FROM events e
     JOIN dim_channels_current c ON c.channel_id = e.channel_id
-    WHERE e.is_alarm
-      AND (e.ts < timestamptz '2021-01-01 00:00:00+03'
-           OR e.ts >= timestamptz '2022-01-01 00:00:00+03')
+    WHERE e.ts >= %(cutoff)s
       AND (e.id <= %(low)s OR e.id = ANY(%(seen)s::bigint[]))
+      AND c.sensor_type = ANY(%(sensors)s::text[])
       AND (
-        (c.sensor_type = ANY(%(fire)s::text[]) AND e.raw_value = ANY(%(fire_values)s::text[]))
-        OR (c.sensor_type = ANY(%(flood)s::text[]) AND e.raw_value = ANY(%(flood_values)s::text[]))
-        OR (c.sensor_type = ANY(%(gas)s::text[]) AND e.raw_value = ANY(%(gas_values)s::text[]))
-        OR (c.sensor_type = ANY(%(intrusion)s::text[]) AND e.raw_value = ANY(%(intrusion_values)s::text[]))
-        OR (c.sensor_type = ANY(%(open_contact)s::text[]) AND e.raw_value = 'Не замкнут')
+        e.raw_value = ANY(%(values)s::text[])
+        OR e.raw_value = 'Не замкнут'
       )
-    ORDER BY e.channel_id, e.ts DESC, e.id DESC
+    ORDER BY e.channel_id, e.ts, e.id
 """
 
 
@@ -58,14 +56,19 @@ def incident_class(sensor_type: str | None) -> str | None:
     return SENSOR_CLASSES.get(sensor_type)
 
 
-def is_target_alarm(sensor_type: str | None, value: str, is_alarm: bool) -> bool:
+def is_target_alarm(sensor_type: str | None, value: str, is_alarm: bool,
+                    journal_alarm: bool | None = None) -> bool:
     kind = incident_class(sensor_type)
-    return bool(
-        is_alarm and kind and (
-            value in INCIDENT_VALUES[kind]
-            or (value == "Не замкнут" and sensor_type in OPEN_CONTACT)
-        )
-    )
+    candidate = bool(kind and (
+        value in INCIDENT_VALUES[kind]
+        or (value == "Не замкнут" and sensor_type in OPEN_CONTACT)
+    ))
+    if not candidate:
+        return False
+    alarm = journal_alarm if kind == "INTRUSION" else is_alarm
+    if kind == "INTRUSION" and journal_alarm is None:
+        raise RuntimeError("Original intrusion alarm flag is missing")
+    return bool(alarm)
 
 
 @dataclass
@@ -110,22 +113,36 @@ def load(cls, path: Path, low: int, seen: set[int]) -> "TargetHistory | None":
 
     @classmethod
     def from_db(cls, conn: psycopg.Connection, low: int,
-                seen: set[int]) -> "TargetHistory":
+                seen: set[int], seed_path: Path = SEED_PATH) -> "TargetHistory":
         marker = conn.execute(
             "SELECT EXISTS (SELECT 1 FROM alarm_backfill)"
         ).fetchone()[0]
         if not marker:
             raise RuntimeError("alarm_backfill must finish before incident inference")
-        params: dict[str, object] = {"low": low, "seen": list(seen),
-                                    "open_contact": list(OPEN_CONTACT)}
-        for kind in INCIDENT_VALUES:
-            params[kind.lower()] = [sensor for sensor, value in SENSOR_CLASSES.items()
-                                    if value == kind]
-            params[kind.lower() + "_values"] = list(INCIDENT_VALUES[kind])
+        seed = json.loads(seed_path.read_text(encoding="utf-8"))
+        latest = cls({int(channel): (datetime.fromisoformat(row[0]), int(row[1]))
+                      for channel, row in seed["latest"].items()})
+        checkpoint = conn.execute(
+            "SELECT covered_until, targets FROM incident_history_checkpoint WHERE id = 1"
+        ).fetchone()
+        if checkpoint is None:
+            raise RuntimeError("incident history checkpoint is missing")
+        cutoff, targets = checkpoint
+        if cutoff < datetime.fromisoformat(seed["cutoff"]):
+            raise RuntimeError("incident history checkpoint predates model seed")
+        for channel, row in targets.items():
+            latest.mark(int(channel), datetime.fromisoformat(row[0]), int(row[1]))
+        params = {
+            "cutoff": cutoff, "low": low, "seen": list(seen),
+            "sensors": list(SENSOR_CLASSES),
+            "values": list(set().union(*INCIDENT_VALUES.values())),
+        }
         with conn.transaction():
-            conn.execute("SET LOCAL statement_timeout = '30min'")
+            conn.execute("SET LOCAL statement_timeout = '10min'")
             with conn.cursor(name="incident_targets") as cur:
                 cur.itersize = 10_000
-                cur.execute(SELECT_LAST_TARGETS, params)
-                return cls({int(channel): (at, int(event_id))
-                            for channel, at, event_id in cur})
+                cur.execute(SELECT_SINCE_CHECKPOINT, params)
+                for channel, at, event_id, value, alarm, journal, sensor in cur:
+                    if is_target_alarm(sensor, value, alarm, journal):
+                        latest.mark(int(channel), at, int(event_id))
+        return latest
diff --git a/inference/runner.py b/inference/runner.py
index d0ae933..a7c8f67 100644
--- a/inference/runner.py
+++ b/inference/runner.py
@@ -54,7 +54,7 @@
 
 # Фильтр по ts отсекает старые партиции и импорт истории вне окон.
 SELECT_NEW = """
-    SELECT id, channel_id, ts, raw_value, is_alarm FROM events
+    SELECT id, channel_id, ts, raw_value, is_alarm, journal_is_alarm FROM events
     WHERE ts >= %(since)s AND id > %(low)s
       AND id <> ALL(%(seen)s::bigint[])
     ORDER BY id
@@ -136,6 +136,7 @@ class EventRow:
     ts: datetime
     raw_value: str
     is_alarm: bool
+    journal_is_alarm: bool | None
 
 
 def utcnow() -> datetime:
@@ -368,7 +369,8 @@ def _process(
                 counters.skipped_nonincident += 1
                 return
             target_alarm = is_target_alarm(
-                sensor_type, event.raw_value, event.is_alarm
+                sensor_type, event.raw_value, event.is_alarm,
+                event.journal_is_alarm,
             )
             previous_hours = self.targets.hours_before(event.channel_id, event.ts)
 
diff --git a/retraining/build_incident_seed.py b/retraining/build_incident_seed.py
new file mode 100644
index 0000000..b309c7e
--- /dev/null
+++ b/retraining/build_incident_seed.py
@@ -0,0 +1,78 @@
+"""Build previous-target snapshot from the original 2019–2026 journal."""
+from __future__ import annotations
+
+import json
+from datetime import datetime
+from pathlib import Path
+from zoneinfo import ZoneInfo
+
+import polars as pl
+
+ROOT = Path(__file__).resolve().parents[2]
+SOURCE = ROOT / "ML/homemade/hack128/output_channel_dedup"
+SENSORS = ROOT / "ML/retraining/data/reference/справочник_каналов_датчиков.parquet"
+STATES = ROOT / "Sources/dataset/справочник_состояний.csv"
+OUTPUT = Path(__file__).resolve().parents[1] / "data/incident4/target_seed.json"
+CUTOFF = datetime(2026, 7, 1, tzinfo=ZoneInfo("Europe/Moscow"))
+
+
+def main() -> None:
+    mapping = json.loads(OUTPUT.with_name("incident_by_sensor.json").read_text())
+    states = pl.read_csv(STATES).group_by("название_состояния").agg(
+        pl.col("тревожное").unique()
+    )
+    alarm_by_value = {name: flags[0] for name, flags in states.iter_rows()
+                      if len(flags) == 1}
+    incident_values = {
+        "FIRE": ["Обнаружен дым", "Рычаг сдернут", "Рычаг сдернут влево",
+                 "Рычаг сдернут вправо", "Оба рычага сдернуты"],
+        "FLOOD": ["Затоплен", "Работают все насосы в АНС",
+                  "Работают все насосы АНС", "Включены все насосы АНС"],
+        "GAS": ["Обнаружен газ"],
+        "INTRUSION": ["Обнаружено движение", "Движение вверх", "Движение вниз",
+                      "Движение влево", "Движение вправо"],
+    }
+    open_contact = ["Ручной извещатель", "Тепловой датчик", "Датчик дыма",
+                    "Состояние УИР-Р", "Датчик затопления", "КД Дверь",
+                    "КД Люк", "КД АВ", "Стекло", "9-секционный люк"]
+    sensors = pl.scan_parquet(SENSORS).select(
+        pl.col("ид_канала_данных").cast(pl.String).alias("channel_id"),
+        pl.col("тип_датчика").alias("sensor_type"),
+    ).with_columns(pl.col("sensor_type").replace_strict(mapping, default=None).alias("kind"))
+    files = [SOURCE / f"events_{year}.parquet" for year in
+             (2019, 2020, 2022, 2023, 2024, 2025, 2026)]
+    if any(not path.is_file() for path in files):
+        raise FileNotFoundError("Full original journal is required")
+    possible = {value for values in incident_values.values() for value in values}
+    possible.add("Не замкнут")
+    events = pl.concat([pl.scan_parquet(path) for path in files]).filter(
+        pl.col("value").is_in(possible)
+    ).select(
+        "event_id", "channel_id", "ts", "alarm", "value"
+    )
+    allowed = pl.lit(False)
+    for kind, values in incident_values.items():
+        allowed = allowed | ((pl.col("kind") == kind) & pl.col("value").is_in(values))
+    allowed = allowed | (pl.col("sensor_type").is_in(open_contact)
+                         & (pl.col("value") == "Не замкнут"))
+    reference_alarm = pl.col("value").replace_strict(
+        alarm_by_value, default=False, return_dtype=pl.Boolean
+    )
+    target = pl.when(pl.col("kind") == "INTRUSION").then(
+        pl.col("alarm")
+    ).otherwise(reference_alarm).fill_null(False)
+    latest = (events.join(sensors, on="channel_id")
+              .filter(allowed & target)
+              .sort("channel_id", "ts", "event_id")
+              .unique(subset=["channel_id"], keep="last", maintain_order=True)
+              .select("channel_id", "ts", "event_id", "kind").collect())
+    seed = {channel: [ts.replace(tzinfo=ZoneInfo("Europe/Moscow")).isoformat(),
+                      int(event_id), kind]
+            for channel, ts, event_id, kind in latest.iter_rows()}
+    OUTPUT.write_text(json.dumps({"cutoff": CUTOFF.isoformat(), "latest": seed},
+                                 ensure_ascii=False, sort_keys=True) + "\n", encoding="utf-8")
+    print(f"seed channels={len(seed)} source_rows={sum(pl.scan_parquet(p).select(pl.len()).collect().item() for p in files)}")
+
+
+if __name__ == "__main__":
+    main()
diff --git a/tests/test_db_schema.sql b/tests/test_db_schema.sql
index dad24cb..61edc4c 100644
--- a/tests/test_db_schema.sql
+++ b/tests/test_db_schema.sql
@@ -74,6 +74,7 @@ CREATE TABLE events (
     ts          timestamptz NOT NULL,
     is_alarm    boolean     NOT NULL,
     raw_value   text        NOT NULL,
+    journal_is_alarm boolean,
     PRIMARY KEY (id, ts),
     UNIQUE (event_id, ts)
 ) PARTITION BY RANGE (ts);
@@ -83,6 +84,15 @@ CREATE TABLE alarm_backfill (finished_at timestamptz NOT NULL DEFAULT now());
 INSERT INTO alarm_backfill DEFAULT VALUES;
 GRANT SELECT ON alarm_backfill TO inference;
 
+CREATE TABLE incident_history_checkpoint (
+    id smallint PRIMARY KEY CHECK (id = 1),
+    covered_until timestamptz NOT NULL,
+    targets jsonb NOT NULL
+);
+INSERT INTO incident_history_checkpoint VALUES
+    (1, '2026-07-01 00:00:00+03', '{}'::jsonb);
+GRANT SELECT ON incident_history_checkpoint TO inference;
+
 CREATE TABLE reason_codes (
     code         text PRIMARY KEY,
     description  text NOT NULL
diff --git a/tests/test_incident.py b/tests/test_incident.py
index 9b147c9..16df8fa 100644
--- a/tests/test_incident.py
+++ b/tests/test_incident.py
@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 import hashlib
+import json
 from dataclasses import replace
 from datetime import datetime, timedelta, timezone
 from pathlib import Path
@@ -21,15 +22,22 @@ def test_v4_500_artifact_is_pinned() -> None:
         (ROOT / "data/incident4/model_500.cbm").read_bytes()
     ).hexdigest()
     assert digest == "178c874ca373a5c48327d4a221379ea9ee166480385393425b96dd5002ce21f9"
+    seed = hashlib.sha256(
+        (ROOT / "data/incident4/target_seed.json").read_bytes()
+    ).hexdigest()
+    assert seed == "3161acd2ab38454f009aeb2b088ba53d7c673603ea9306aad7d5b4c87ae05deb"
 
 
 def test_incident_mapping_and_prior_target(tmp_path: Path) -> None:
     assert incident_class("КД АВ") == "INTRUSION"
     assert incident_class("Датчик дыма") == "FIRE"
     assert incident_class("Датчик температуры") is None
-    assert is_target_alarm("КД АВ", "Не замкнут", True)
-    assert not is_target_alarm("КД АВ", "Неисправен", True)
-    assert not is_target_alarm("КД АВ", "Не замкнут", False)
+    assert is_target_alarm("КД АВ", "Не замкнут", True, True)
+    assert not is_target_alarm("КД АВ", "Неисправен", True, True)
+    assert not is_target_alarm("КД АВ", "Не замкнут", True, False)
+    assert not is_target_alarm("КД АВ", "Норма", False)
+    with pytest.raises(RuntimeError, match="Original intrusion"):
+        is_target_alarm("КД АВ", "Не замкнут", True)
 
     now = datetime(2026, 9, 28, tzinfo=timezone.utc)
     history = TargetHistory()
@@ -63,8 +71,8 @@ def test_incident_runner_routes_and_caps_shap(db, tmp_path: Path) -> None:
     now = datetime.now(timezone.utc)
     with db.admin() as conn:
         conn.execute(
-            "INSERT INTO events (event_id, channel_id, ts, is_alarm, raw_value) "
-            "VALUES (10001, %s, %s, true, 'Не замкнут')",
+            "INSERT INTO events (event_id, channel_id, ts, is_alarm, raw_value, journal_is_alarm) "
+            "VALUES (10001, %s, %s, true, 'Не замкнут', true)",
             (CHANNEL, now - timedelta(hours=24)),
         )
 
@@ -77,10 +85,10 @@ def test_incident_runner_routes_and_caps_shap(db, tmp_path: Path) -> None:
                 value = "Не замкнут" if offset == 0 else "Норма"
                 alarm = offset == 0
                 admin.execute(
-                    "INSERT INTO events (event_id, channel_id, ts, is_alarm, raw_value) "
-                    "VALUES (%s, %s, %s, %s, %s)",
+                    "INSERT INTO events (event_id, channel_id, ts, is_alarm, raw_value, journal_is_alarm) "
+                    "VALUES (%s, %s, %s, %s, %s, %s)",
                     (event_id, CHANNEL, now + timedelta(seconds=offset),
-                     alarm, value),
+                     alarm, value, alarm),
                 )
         runner.tick(conn)
 
@@ -94,18 +102,12 @@ def test_incident_runner_routes_and_caps_shap(db, tmp_path: Path) -> None:
     runner.service.close()
 
 
-def test_history_ignores_excluded_2021(db) -> None:
-    with db.admin() as conn:
-        for event_id, year in [(20001, 2020), (20002, 2021)]:
-            conn.execute(
-                "INSERT INTO events (event_id, channel_id, ts, is_alarm, raw_value) "
-                "VALUES (%s, %s, %s, true, 'Не замкнут')",
-                (event_id, CHANNEL, datetime(year, 6, 1, tzinfo=timezone.utc)),
-            )
-        low = conn.execute("SELECT max(id) FROM events").fetchone()[0]
-    with db.inference() as conn:
-        history = TargetHistory.from_db(conn, low, set())
-    assert history.latest[CHANNEL][0].year == 2020
+def test_seed_excludes_2021() -> None:
+    seed = json.loads((ROOT / "data/incident4/target_seed.json").read_text())
+    assert seed["cutoff"] == "2026-07-01T00:00:00+03:00"
+    assert len(seed["latest"]) > 8000
+    assert all(datetime.fromisoformat(row[0]).year != 2021
+               for row in seed["latest"].values())
 
 
 def test_history_waits_for_alarm_backfill(db) -> None:
@@ -114,3 +116,30 @@ def test_history_waits_for_alarm_backfill(db) -> None:
     with db.inference() as conn:
         with pytest.raises(RuntimeError, match="alarm_backfill"):
             TargetHistory.from_db(conn, 0, set())
+
+
+def test_history_rejects_unrestored_intrusion_flag(db) -> None:
+    with db.admin() as conn:
+        conn.execute(
+            "INSERT INTO events (event_id, channel_id, ts, is_alarm, raw_value) "
+            "VALUES (30001, %s, %s, true, 'Обнаружено движение')",
+            (CHANNEL, datetime(2026, 9, 1, tzinfo=timezone.utc)),
+        )
+        low = conn.execute("SELECT max(id) FROM events").fetchone()[0]
+    with db.inference() as conn:
+        with pytest.raises(RuntimeError, match="Original intrusion"):
+            TargetHistory.from_db(conn, low, set())
+
+
+def test_history_uses_compact_checkpoint(db) -> None:
+    at = datetime(2026, 9, 1, tzinfo=timezone.utc)
+    with db.admin() as conn:
+        conn.execute(
+            "UPDATE incident_history_checkpoint SET covered_until = %s, "
+            "targets = jsonb_build_object(%s::text, jsonb_build_array(%s::timestamptz, 12345)) "
+            "WHERE id = 1", (at + timedelta(days=1), str(CHANNEL), at),
+        )
+        low = conn.execute("SELECT coalesce(max(id), 0) FROM events").fetchone()[0]
+    with db.inference() as conn:
+        history = TargetHistory.from_db(conn, low, set())
+    assert history.hours_before(CHANNEL, at + timedelta(days=2)) == 48

From 9fd79a99bc5f6c95463c58281c55e0e07aff4d1a Mon Sep 17 00:00:00 2001
From: UsatovPavel <dbpfynbqcrfzbvgthbz@gmail.com>
Date: Mon, 28 Sep 2026 23:00:02 +0300
Subject: [PATCH 4/5] feat(ml): preserve equipment window

---
 .github/workflows/deploy.yml          |   9 +-
 README.md                             |   2 +-
 deploy/backup-equipment-window.sh     | 165 ++++++++++++++++++++++++++
 docs/equipment-window-snapshot.md     |  29 +++++
 tests/test_equipment_window_backup.py | 117 ++++++++++++++++++
 5 files changed, 320 insertions(+), 2 deletions(-)
 create mode 100644 deploy/backup-equipment-window.sh
 create mode 100644 docs/equipment-window-snapshot.md
 create mode 100644 tests/test_equipment_window_backup.py

diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml
index ec3cb16..a4be9f6 100644
--- a/.github/workflows/deploy.yml
+++ b/.github/workflows/deploy.yml
@@ -21,7 +21,7 @@ jobs:
   deploy:
     needs: test
     runs-on: ubuntu-latest
-    timeout-minutes: 50
+    timeout-minutes: 95
     env:
       IMAGE: inference:${{ github.sha }}
       REMOTE_DIR: backend
@@ -74,6 +74,13 @@ jobs:
           set -o pipefail
           docker save "$IMAGE" | gzip | ssh vps 'gunzip | sudo -n docker load'
 
+      # Снимок курсора и 72-часовых входов должен завершиться до смены
+      # inference:current. При ошибке новый образ не запускается.
+      - name: Preserve equipment window
+        run: |
+          ssh vps "sudo -n env SHA=${{ github.sha }} REMOTE_DIR=\$HOME/$REMOTE_DIR bash -s" \
+            < deploy/backup-equipment-window.sh
+
       # Прежний current — точка отката. Повторный прогон того же sha его
       # не трогает, иначе previous совпал бы с новым образом.
       - name: Tag previous
diff --git a/README.md b/README.md
index fd73178..b06c04e 100644
--- a/README.md
+++ b/README.md
@@ -774,7 +774,7 @@ docker build -t inference:local .
 docker run --rm -v inference-runtime:/app/runtime -e PGHOST=... -e PGUSER=inference -e PGPASSWORD=... inference:local
 ```
 
-CI (`ci.yml`): `pytest` на Python 3.12 x86_64 со встроенным Postgres, `docker build`, smoke образа. Деплой (`deploy.yml`, push в `main` или вручную): после CI образ едет на VPS по SSH как `inference:current`, прежний `current` получает тег `inference:previous`. Перезапускаются все сервисы compose с именем `inference` или `inference-<суффикс>`, сценарий ждёт `healthy` у каждого. Новая версия прогревает окно из `events`. Если хоть один не поднялся, `inference:previous` снова становится `current` и все сервисы пересоздаются. Бэкап перед full-no2021 (`~/backend/model-backups/before-full-no2021/`, образ `inference:rollback-before-full-no2021`) не удаляется. Секреты: `VPS_HOST`, `VPS_USER`, `VPS_SSH_KEY`.
+CI (`ci.yml`): `pytest` на Python 3.12 x86_64 со встроенным Postgres, `docker build`, smoke образа. Деплой (`deploy.yml`, push в `main` или вручную): после CI образ едет на VPS по SSH; перед сменой `inference:current` сохраняется [снимок окна оборудования](docs/equipment-window-snapshot.md). Прежний `current` получает тег `inference:previous`. Перезапускаются все сервисы compose с именем `inference` или `inference-<суффикс>`, сценарий ждёт `healthy` у каждого. Новая версия прогревает окно из `events`. Если хоть один не поднялся, `inference:previous` снова становится `current` и все сервисы пересоздаются. Бэкап перед full-no2021 (`~/backend/model-backups/before-full-no2021/`, образ `inference:rollback-before-full-no2021`) не удаляется. Секреты: `VPS_HOST`, `VPS_USER`, `VPS_SSH_KEY`.
 
 Ручной откат на VPS: `sudo docker tag inference:previous inference:current`, затем из `~/backend` выполнить `sudo docker compose up -d --no-deps --force-recreate inference` (и остальные `inference-*`) и дождаться `healthy`. Откат на модель до full-no2021: то же с тегом `inference:rollback-before-full-no2021`.
 
diff --git a/deploy/backup-equipment-window.sh b/deploy/backup-equipment-window.sh
new file mode 100644
index 0000000..4c3e78e
--- /dev/null
+++ b/deploy/backup-equipment-window.sh
@@ -0,0 +1,165 @@
+#!/usr/bin/env bash
+# Снимок входов модели оборудования перед сменой образа.
+# Окно ядра восстанавливается из events; runtime хранит курсор.
+set -euo pipefail
+umask 077
+
+sha=${SHA:?SHA is required}
+[[ $sha =~ ^[[:xdigit:]]{40}$ ]] || { echo 'invalid SHA' >&2; exit 1; }
+backup_mount=${BACKUP_MOUNT:-/mnt/backups}
+mountpoint -q "$backup_mount" || { echo "$backup_mount is not mounted" >&2; exit 1; }
+cd "${REMOTE_DIR:-$HOME/backend}"
+
+services=$(docker compose config --services)
+if ! grep -qx inference <<<"$services"; then
+  echo '::notice::equipment inference is not configured; no window to preserve'
+  exit 0
+fi
+container=$(docker compose ps -q inference)
+[[ -n $container ]] || { echo 'equipment inference container is missing' >&2; exit 1; }
+[[ $(docker inspect -f '{{.State.Running}}' "$container") == true ]] || {
+  echo 'equipment inference is not running' >&2
+  exit 1
+}
+image=$(docker image inspect -f '{{.Id}}' inference:current)
+[[ -n $image ]] || { echo 'inference:current image is missing' >&2; exit 1; }
+volume=$(docker inspect -f '{{range .Mounts}}{{if eq .Destination "/app/runtime"}}{{.Name}}{{end}}{{end}}' "$container")
+[[ -n $volume ]] || { echo 'equipment runtime volume is missing' >&2; exit 1; }
+
+# Backups stay on the mounted backup disk, never on the root filesystem.
+root="$backup_mount/inference-windows"
+install -d -m 0700 "$root"
+available=$(df --output=avail -B1 "$backup_mount" | tail -1)
+(( available >= 1073741824 )) || {
+  echo "backup disk has only $available bytes free" >&2
+  exit 1
+}
+stamp=$(date -u +%Y%m%dT%H%M%SZ)
+name="equipment-${stamp}-${sha}"
+[[ ! -e "$root/$name" ]] || { echo "$root/$name already exists" >&2; exit 1; }
+tmp=$(mktemp -d "$root/.${name}.XXXXXX")
+stopped=0
+cleanup() {
+  local result=$?
+  trap - EXIT
+  if (( stopped )); then
+    if ! docker compose start inference || ! wait_healthy; then
+      echo 'CRITICAL: old equipment inference did not recover after backup failure' >&2
+      result=1
+    fi
+  fi
+  if (( result != 0 )); then
+    rm -rf -- "$tmp"
+  fi
+  exit "$result"
+}
+trap cleanup EXIT
+
+wait_healthy() {
+  local deadline=$((SECONDS + 2100)) health
+  while :; do
+    health=$(docker inspect -f '{{.State.Health.Status}}' "$container" 2>/dev/null || echo missing)
+    [[ $health == healthy ]] && return 0
+    if [[ $health == unhealthy || $health == missing ]] || (( SECONDS >= deadline )); then
+      echo "equipment inference health after snapshot: $health" >&2
+      return 1
+    fi
+    sleep 15
+  done
+}
+
+# Stop before copying the cursor so it matches a completed batch.
+stopped=1
+docker compose stop inference
+snapshot_at=$(date -u +%Y-%m-%dT%H:%M:%S.%NZ)
+docker cp "$container:/app/runtime/." - > "$tmp/runtime.tar"
+docker cp "$container:/app/data/best_model.cbm" "$tmp/equipment_model.cbm"
+docker cp "$container:/app/data/feature_encoding.json" "$tmp/feature_encoding.json"
+docker cp "$container:/app/config.yml" "$tmp/config.yml"
+tar -tf "$tmp/runtime.tar" > /dev/null
+docker compose start inference
+stopped=0
+[[ $(docker inspect -f '{{.State.Running}}' "$container") == true ]] || {
+  echo 'equipment inference failed to restart after snapshot' >&2
+  exit 1
+}
+
+db=$(docker compose exec -T postgres printenv POSTGRES_DB | tr -d '\r')
+dbuser=$(docker compose exec -T postgres printenv POSTGRES_USER | tr -d '\r')
+[[ -n $db && -n $dbuser ]] || { echo 'database name/user missing' >&2; exit 1; }
+copy_query() {
+  local query=$1 destination=$2
+  docker compose exec -T postgres \
+    psql -X -q -v ON_ERROR_STOP=1 -U "$dbuser" -d "$db" \
+    -c "COPY ($query) TO STDOUT WITH (FORMAT csv, HEADER true)" \
+    | gzip -1 > "$tmp/$destination"
+  gzip -t "$tmp/$destination"
+}
+
+# The timestamp is fixed across files. Committed inputs up to this instant
+# cover all events processed by the saved cursor.
+range="ts >= '${snapshot_at}'::timestamptz - interval '72 hours' AND ts <= '${snapshot_at}'::timestamptz"
+copy_query "SELECT id, event_id, channel_id, ts, raw_value, is_alarm FROM events WHERE $range" events.csv.gz
+# Future-dated rows could already have been processed by the saved cursor.
+copy_query "SELECT id, event_id, channel_id, ts, raw_value, is_alarm FROM events WHERE ts > '${snapshot_at}'::timestamptz" future_events.csv.gz
+copy_query 'SELECT channel_id, eng_system_type, sensor_type, system_tag, sensor_name, object_id FROM dim_channels_current' channels.csv.gz
+copy_query 'SELECT object_id, hierarchy_level, parent_id, object_kind, dispatcher_name FROM dim_objects_current' objects.csv.gz
+wait_healthy
+
+python3 - "$tmp" "$snapshot_at" "$image" "$sha" "$volume" <<'PY'
+import csv
+import gzip
+import json
+import sys
+from pathlib import Path
+
+directory, snapshot_at, image, sha, volume = sys.argv[1:]
+root = Path(directory)
+counts = {}
+for name in ('events', 'future_events', 'channels', 'objects'):
+    with gzip.open(root / f'{name}.csv.gz', 'rt', newline='') as stream:
+        reader = csv.reader(stream)
+        header = next(reader)
+        counts[name] = sum(1 for _ in reader)
+        if not header:
+            raise SystemExit(f'{name}: empty header')
+if not counts['events'] or not counts['channels']:
+    raise SystemExit(f'incomplete snapshot: {counts}')
+cursor = root / 'events_cursor.json'
+import tarfile
+with tarfile.open(root / 'runtime.tar') as archive:
+    member = next((m for m in archive.getmembers() if m.name.lstrip('./') == cursor.name), None)
+    if member is None:
+        raise SystemExit('runtime archive has no events_cursor.json')
+    stream = archive.extractfile(member)
+    if stream is None:
+        raise SystemExit('cursor is not a regular file')
+    data = json.load(stream)
+    if not isinstance(data['low'], int) or not isinstance(data['seen'], list):
+        raise SystemExit('invalid cursor')
+manifest = {
+    'format': 1,
+    'snapshot_at_utc': snapshot_at,
+    'window_hours': 72,
+    'image_id': image,
+    'runtime_volume': volume,
+    'deploy_sha': sha,
+    'cursor_low': data['low'],
+    'cursor_seen': len(data['seen']),
+    'rows': counts,
+    'inputs': ['events.csv.gz', 'future_events.csv.gz',
+               'channels.csv.gz', 'objects.csv.gz',
+               'runtime.tar', 'equipment_model.cbm',
+               'feature_encoding.json', 'config.yml'],
+}
+(root / 'manifest.json').write_text(json.dumps(manifest, indent=2) + '\n')
+PY
+
+(cd "$tmp" && sha256sum events.csv.gz future_events.csv.gz channels.csv.gz objects.csv.gz runtime.tar equipment_model.cbm feature_encoding.json config.yml manifest.json > SHA256SUMS && sha256sum -c SHA256SUMS)
+(( $(df --output=avail -B1 "$backup_mount" | tail -1) >= 134217728 )) || {
+  echo 'backup disk reserve below 128 MiB' >&2
+  exit 1
+}
+mv -- "$tmp" "$root/$name"
+trap - EXIT
+echo "equipment window saved: $root/$name"
diff --git a/docs/equipment-window-snapshot.md b/docs/equipment-window-snapshot.md
new file mode 100644
index 0000000..ec29548
--- /dev/null
+++ b/docs/equipment-window-snapshot.md
@@ -0,0 +1,29 @@
+# Снимок состояния текущей модели оборудования
+
+Перед сменой `inference:current` ML deploy создаёт каталог
+`/mnt/backups/inference-windows/equipment-<UTC>-<commit>/` на отдельном
+смонтированном диске. Каталог доступен только root. Ошибка снимка останавливает
+деплой до смены образа. Старый `inference` после копирования курсора запускается
+снова; скрипт ждёт `healthy`.
+
+Ядро модели держит rolling-окна в памяти и при старте заполняет их из `events`
+за последние 72 часа. `runtime/events_cursor.json` хранит позицию чтения, а не
+само окно. Поэтому снимок содержит:
+
+| Файл | Назначение |
+| --- | --- |
+| `events.csv.gz` | `id`, `event_id`, `channel_id`, `ts`, `raw_value`, `is_alarm` за `[snapshot_at_utc − 72 ч, snapshot_at_utc]` |
+| `future_events.csv.gz` | Строки с `ts > snapshot_at_utc`: будущие по времени события могли быть уже обработаны курсором |
+| `channels.csv.gz`, `objects.csv.gz` | Справочники, из которых строятся статические признаки |
+| `runtime.tar` | Весь фактический `/app/runtime`, включая курсор, из тома запущенного сервиса |
+| `equipment_model.cbm`, `config.yml`, `feature_encoding.json` | Артефакты текущего образа для последующей конвертации |
+| `manifest.json` | Граница времени, ID образа, имя фактического Docker volume, курсор и число строк |
+| `SHA256SUMS` | Контрольные суммы всех файлов выше |
+
+Для проверки на VPS: `sudo sh -c 'cd /mnt/backups/inference-windows/<каталог> && sha256sum -c SHA256SUMS'`.
+При реконструкции сначала проверяют суммы, затем читают события в порядке
+`(ts, id)` и применяют `raw_value` к каждому каналу. Дополнительные строки
+`future_events.csv.gz` сверяют с `low` и `seen` сохранённого курсора. Данные
+после границы снимка остаются в `events` и могут быть дочитаны от курсора.
+Имя тома не предполагается заранее: скрипт берёт его из mount контейнера
+`inference` и записывает в manifest.
diff --git a/tests/test_equipment_window_backup.py b/tests/test_equipment_window_backup.py
new file mode 100644
index 0000000..6e78f27
--- /dev/null
+++ b/tests/test_equipment_window_backup.py
@@ -0,0 +1,117 @@
+"""The pre-deploy snapshot must keep the existing window and cursor."""
+from __future__ import annotations
+
+import json
+import os
+import subprocess
+import tarfile
+from pathlib import Path
+
+
+SCRIPT = Path(__file__).resolve().parents[1] / "deploy/backup-equipment-window.sh"
+SHA = "a" * 40
+
+
+def _mock_tools(tmp_path: Path) -> Path:
+    bin_dir = tmp_path / "bin"
+    bin_dir.mkdir()
+    mountpoint = bin_dir / "mountpoint"
+    mountpoint.write_text("#!/bin/sh\nexit 0\n")
+    mountpoint.chmod(0o755)
+    docker = bin_dir / "docker"
+    docker.write_text("""#!/bin/bash
+set -eu
+printf '%s\\n' "$*" >> "$MOCK_LOG"
+case "$*" in
+  'compose config --services') printf 'postgres\\ninference\\n' ;;
+  'compose ps -q inference') echo old-container ;;
+  'inspect -f {{.State.Running}} old-container') echo true ;;
+  'inspect -f {{range .Mounts}}{{if eq .Destination "/app/runtime"}}{{.Name}}{{end}}{{end}} old-container') echo backend_inference-runtime ;;
+  'inspect -f {{.State.Health.Status}} old-container') echo healthy ;;
+  'image inspect -f {{.Id}} inference:current') echo sha256:old-image ;;
+  'compose stop inference') : ;;
+  'compose start inference') [ "${MOCK_FAIL_START:-0}" != 1 ] ;;
+  'cp old-container:/app/runtime/. -')
+    if [ "${MOCK_FAIL_CP:-0}" = 1 ]; then exit 2; fi
+    tar -C "$MOCK_RUNTIME" -cf - . ;;
+  'cp old-container:/app/data/best_model.cbm '*|\\
+  'cp old-container:/app/data/feature_encoding.json '*|\\
+  'cp old-container:/app/config.yml '*)
+    cp "$MOCK_MODEL/$(basename "${2#*:}")" "$3" ;;
+  'compose exec -T postgres printenv POSTGRES_DB') echo goal ;;
+  'compose exec -T postgres printenv POSTGRES_USER') echo goal ;;
+  *'FROM events WHERE ts > '*) printf 'id,event_id,channel_id,ts,raw_value,is_alarm\\n' ;;
+  *'FROM events WHERE '*) printf 'id,event_id,channel_id,ts,raw_value,is_alarm\\n1,2,3,2026-09-28T00:00:00Z,open,f\\n' ;;
+  *'FROM dim_channels_current'*) printf 'channel_id,eng_system_type,sensor_type,system_tag,sensor_name,object_id\\n3,a,b,c,d,4\\n' ;;
+  *'FROM dim_objects_current'*) printf 'object_id,hierarchy_level,parent_id,object_kind,dispatcher_name\\n4,a,,b,c\\n' ;;
+  *) echo "unexpected docker call: $*" >&2; exit 3 ;;
+esac
+""")
+    docker.chmod(0o755)
+    return bin_dir
+
+
+def _run(tmp_path: Path, fail_copy: bool = False,
+         fail_start: bool = False) -> tuple[subprocess.CompletedProcess[str], Path]:
+    bin_dir = _mock_tools(tmp_path)
+    runtime = tmp_path / "runtime"
+    runtime.mkdir()
+    (runtime / "events_cursor.json").write_text('{"low": 7, "seen": [9]}')
+    model = tmp_path / "model"
+    model.mkdir()
+    for name in ("best_model.cbm", "feature_encoding.json", "config.yml"):
+        (model / name).write_text(name)
+    backup = tmp_path / "backup"
+    backup.mkdir()
+    log = tmp_path / "calls.log"
+    env = os.environ | {
+        "PATH": f"{bin_dir}:{os.environ['PATH']}",
+        "SHA": SHA,
+        "BACKUP_MOUNT": str(backup),
+        "REMOTE_DIR": str(tmp_path),
+        "MOCK_RUNTIME": str(runtime),
+        "MOCK_MODEL": str(model),
+        "MOCK_LOG": str(log),
+        "MOCK_FAIL_CP": "1" if fail_copy else "0",
+        "MOCK_FAIL_START": "1" if fail_start else "0",
+    }
+    result = subprocess.run(["bash", str(SCRIPT)], env=env, text=True,
+                            capture_output=True, check=False)
+    return result, backup
+
+
+def test_snapshot_contains_cursor_window_and_model(tmp_path: Path) -> None:
+    result, backup = _run(tmp_path)
+    assert result.returncode == 0, result.stderr
+    snapshots = list((backup / "inference-windows").glob("equipment-*"))
+    assert len(snapshots) == 1
+    snapshot = snapshots[0]
+    assert snapshot.stat().st_mode & 0o777 == 0o700
+    manifest = json.loads((snapshot / "manifest.json").read_text())
+    assert manifest["cursor_low"] == 7
+    assert manifest["cursor_seen"] == 1
+    assert manifest["rows"] == {"events": 1, "future_events": 0,
+                                "channels": 1, "objects": 1}
+    assert manifest["image_id"] == "sha256:old-image"
+    assert manifest["runtime_volume"] == "backend_inference-runtime"
+    with tarfile.open(snapshot / "runtime.tar") as archive:
+        assert archive.extractfile("./events_cursor.json").read()
+    subprocess.run(["sha256sum", "-c", "SHA256SUMS"], cwd=snapshot, check=True,
+                   capture_output=True)
+    calls = (tmp_path / "calls.log").read_text()
+    assert calls.index("compose stop inference") < calls.index("compose start inference")
+
+
+def test_failed_cursor_copy_restarts_old_service(tmp_path: Path) -> None:
+    result, backup = _run(tmp_path, fail_copy=True)
+    assert result.returncode != 0
+    calls = (tmp_path / "calls.log").read_text()
+    assert "compose start inference" in calls
+    assert not list((backup / "inference-windows").glob("equipment-*"))
+
+
+def test_failed_restart_reports_old_service_unavailable(tmp_path: Path) -> None:
+    result, backup = _run(tmp_path, fail_start=True)
+    assert result.returncode != 0
+    assert "CRITICAL: old equipment inference did not recover" in result.stderr
+    assert not list((backup / "inference-windows").glob("equipment-*"))

From efde8830ac61d6d7ef2f522adb031b2ff1acd119 Mon Sep 17 00:00:00 2001
From: UsatovPavel <dbpfynbqcrfzbvgthbz@gmail.com>
Date: Mon, 28 Sep 2026 23:03:32 +0300
Subject: [PATCH 5/5] fix(deploy): require window backup

---
 deploy/backup-equipment-window.sh     |  4 ++--
 tests/test_equipment_window_backup.py | 16 +++++++++++++---
 2 files changed, 15 insertions(+), 5 deletions(-)

diff --git a/deploy/backup-equipment-window.sh b/deploy/backup-equipment-window.sh
index 4c3e78e..18c626a 100644
--- a/deploy/backup-equipment-window.sh
+++ b/deploy/backup-equipment-window.sh
@@ -12,8 +12,8 @@ cd "${REMOTE_DIR:-$HOME/backend}"
 
 services=$(docker compose config --services)
 if ! grep -qx inference <<<"$services"; then
-  echo '::notice::equipment inference is not configured; no window to preserve'
-  exit 0
+  echo 'equipment inference is not configured; window cannot be preserved' >&2
+  exit 1
 fi
 container=$(docker compose ps -q inference)
 [[ -n $container ]] || { echo 'equipment inference container is missing' >&2; exit 1; }
diff --git a/tests/test_equipment_window_backup.py b/tests/test_equipment_window_backup.py
index 6e78f27..4e53ae4 100644
--- a/tests/test_equipment_window_backup.py
+++ b/tests/test_equipment_window_backup.py
@@ -23,7 +23,9 @@ def _mock_tools(tmp_path: Path) -> Path:
 set -eu
 printf '%s\\n' "$*" >> "$MOCK_LOG"
 case "$*" in
-  'compose config --services') printf 'postgres\\ninference\\n' ;;
+  'compose config --services')
+    if [ "${MOCK_NO_INFERENCE:-0}" = 1 ]; then echo postgres;
+    else printf 'postgres\\ninference\\n'; fi ;;
   'compose ps -q inference') echo old-container ;;
   'inspect -f {{.State.Running}} old-container') echo true ;;
   'inspect -f {{range .Mounts}}{{if eq .Destination "/app/runtime"}}{{.Name}}{{end}}{{end}} old-container') echo backend_inference-runtime ;;
@@ -51,8 +53,8 @@ def _mock_tools(tmp_path: Path) -> Path:
     return bin_dir
 
 
-def _run(tmp_path: Path, fail_copy: bool = False,
-         fail_start: bool = False) -> tuple[subprocess.CompletedProcess[str], Path]:
+def _run(tmp_path: Path, fail_copy: bool = False, fail_start: bool = False,
+         no_inference: bool = False) -> tuple[subprocess.CompletedProcess[str], Path]:
     bin_dir = _mock_tools(tmp_path)
     runtime = tmp_path / "runtime"
     runtime.mkdir()
@@ -74,6 +76,7 @@ def _run(tmp_path: Path, fail_copy: bool = False,
         "MOCK_LOG": str(log),
         "MOCK_FAIL_CP": "1" if fail_copy else "0",
         "MOCK_FAIL_START": "1" if fail_start else "0",
+        "MOCK_NO_INFERENCE": "1" if no_inference else "0",
     }
     result = subprocess.run(["bash", str(SCRIPT)], env=env, text=True,
                             capture_output=True, check=False)
@@ -115,3 +118,10 @@ def test_failed_restart_reports_old_service_unavailable(tmp_path: Path) -> None:
     assert result.returncode != 0
     assert "CRITICAL: old equipment inference did not recover" in result.stderr
     assert not list((backup / "inference-windows").glob("equipment-*"))
+
+
+def test_missing_equipment_service_blocks_image_switch(tmp_path: Path) -> None:
+    result, backup = _run(tmp_path, no_inference=True)
+    assert result.returncode != 0
+    assert "window cannot be preserved" in result.stderr
+    assert not list((backup / "inference-windows").glob("equipment-*"))