feat(generator): добавлен артефакт стартовой истории

- Зачем: - чистый стенд должен восстанавливать стартовую историю без повторной генерации. - Что: - добавлены export/import артефакта через Kafka и compact-топики. - добавлена manifest-aware сверка ClickHouse и защита от смешения state. - добавлен runbook использования стартовой истории. - Проверка: - uv run --with-requirements generator/requirements.txt pytest generator/tests -q. - bash -n scripts/check_startup_history_manifest.sh scripts/export_startup_history_artifact.sh scripts/import_startup_history_artifact.sh. - git diff --check.
2026-07-04 18:23:54 +03:00
parent ee4c9f5857
commit 3c38465d89
16 changed files with 1746 additions and 177 deletions
@@ -1,4 +1,4 @@
-Status: ready-for-agent
+Status: done

 # Портативный артефакт стартовой истории и runbook по стенду

@@ -1,5 +1,6 @@
 .PHONY: up down clean ddl data transform logs \
        generated-history-analytics generated-history-check \
+        startup-history-export startup-history-import startup-history-check \
        reload-monitoring recover-monitoring \
        superset-init superset-dashboard superset-ui superset-restart \
        generator-up generator-down generator-logs generator-restart \
@@ -46,6 +47,18 @@ generated-history-analytics:
 generated-history-check:
 	COMPOSE_BIN="$(COMPOSE)" bash ./scripts/check_generated_analytics.sh

+# Сгенерировать стартовую историю и сохранить портативный артефакт
+startup-history-export:
+	COMPOSE_BIN="$(COMPOSE)" bash ./scripts/export_startup_history_artifact.sh
+
+# Воспроизвести портативный артефакт стартовой истории в Kafka
+startup-history-import:
+	COMPOSE_BIN="$(COMPOSE)" bash ./scripts/import_startup_history_artifact.sh
+
+# Сверить ClickHouse после импорта с manifest артефакта
+startup-history-check:
+	COMPOSE_BIN="$(COMPOSE)" bash ./scripts/check_startup_history_manifest.sh
+
 # Перезагрузка конфигурации мониторинга (после изменений в provisioning)
 reload-monitoring:
 	@echo "=== Перезагрузка сервисов мониторинга ==="
@@ -50,6 +50,9 @@ GEN_MODEL_T_END=2026-01-02T00:00:00+00:00 make generated-history-analytics
 make generated-history-check
 ```

+Сохранить стартовую историю в файл и восстановить её без новой генерации можно
+по [runbook стартовой истории](./docs/runbooks/startup-history.md).
+
 Проверить, что данные дошли до витрин:

 ```bash
@@ -116,6 +119,8 @@ flowchart LR
  обоснование решений.
 - [Запуск и эксплуатация](./docs/OPERATIONS.md) — сценарий запуска, параметры DAG-ов,
  мониторинг, частые проблемы.
+- [Runbook стартовой истории](./docs/runbooks/startup-history.md) — экспорт,
+  импорт и live-продолжение из готового артефакта.
 - [Карта репозитория](./docs/REPO_MAP.md) — где какие файлы и что менять.
 - [Курс «Кликстрим на ClickHouse»](./docs/course/README.md) — учебная программа на этом
  стенде.
@@ -118,6 +118,7 @@ make generator-logs
 | `GEN_MODEL_TIMEZONE` | Часовой пояс модельных часов для дневного коэффициента | `UTC` |
 | `GEN_MODEL_TIME_SPEED` | Сколько модельных секунд проходит за одну настенную секунду | `1` |
 | `GEN_RUN_MODE` | Режим генератора | `live` |
+| `GEN_STARTUP_HISTORY_ARTIFACT` | JSON-файл для экспорта стартовой истории в режиме `backfill` | пусто |
 | `GEN_STATE_ENABLED` | Сохранять state v2 между рестартами | `true` |
 | `GEN_STATE_RESET` | Сбросить state при старте | `false` |

@@ -163,6 +164,9 @@ GEN_MODEL_T_END=2026-01-02T00:00:00+00:00 make generated-history-analytics
 контрольными числами. При live-запуске с теми же настройками генератор видит,
 что state совпадает с manifest, и стартует ровно с `T_end` без настенной дельты.

+Если историю нужно сохранить в файл и восстановить на чистом стенде без новой
+генерации, используйте [runbook стартовой истории](./runbooks/startup-history.md).
+
 Для чистого повтора пересоздавайте volumes. Это сбрасывает ClickHouse,
 Kafka-топики данных, state и manifest генератора. `make generated-history-analytics`
 делает это по умолчанию (`CLEAN_START=1`).
@@ -0,0 +1,91 @@
+# Runbook: стартовая история стенда
+
+Этот runbook нужен, чтобы один раз создать стартовую историю генератора, сохранить
+её в файл и быстро восстановить на чистом стенде.
+
+За устройством генератора см. [`generator/README.md`](../../generator/README.md)
+и [спеку модельного времени](../specs/2026-06-14-generator-model-time-and-startup-history.md).
+
+## Что дёшево
+
+- Перезапуск без очистки volumes: Kafka хранит `generator_state` и manifest.
+- Live-продолжение после импорта: генератор стартует с `T_end`, если настройки
+  совпадают.
+- Восстановление чистого стенда из готового файла: события повторно пишутся в
+  Kafka, ClickHouse наполняется штатным путём.
+
+## Что требует нового артефакта
+
+- Другая длительность истории (`GEN_MODEL_T_END`).
+- Другой `GEN_SEED`, `GEN_MODEL_T0`, часовой пояс, скорость или настройки
+  генерации.
+- Осознанный новый мир после несовместимого state: сначала сбросьте state через
+  `GEN_STATE_RESET=true` или чистые volumes.
+
+## Экспорт
+
+По умолчанию создаётся быстрый 6-часовой артефакт:
+
+```bash
+make startup-history-export
+```
+
+Файл по умолчанию: `/tmp/clickstream-startup-history.json`.
+
+Суточная история:
+
+```bash
+ARTIFACT=/tmp/clickstream-startup-history-1d.json \
+GEN_MODEL_T_END=2026-01-02T00:00:00+00:00 \
+make startup-history-export
+```
+
+Команда делает чистый backfill и пишет в файл один связный набор: события Kafka,
+state и manifest.
+
+## Импорт на чистый стенд
+
+```bash
+make clean
+docker compose up -d clickhouse kafka
+make ddl
+
+ARTIFACT=/tmp/clickstream-startup-history.json make startup-history-import
+
+sleep 10
+make transform
+ARTIFACT=/tmp/clickstream-startup-history.json make startup-history-check
+make generated-history-check
+```
+
+Импорт не пишет напрямую в ClickHouse. Он воспроизводит события и служебные
+compact-топики в Kafka. ClickHouse читает данные через свои Kafka-таблицы и
+Materialized View, затем batch строит ODS, DDS и DM.
+
+`make startup-history-check` сверяет контрольные числа DM-витрины с manifest
+артефакта: события, визиты, пользователей и диапазон `event_timestamp`. Если
+data-топики Kafka уже непустые, импорт остановится до публикации событий.
+
+В текущем стеке `kafka-python` не даёт транзакционный producer для нескольких
+топиков. Поэтому импорт остаётся clean-stand операцией: при ошибке записи он
+удаляет import-топики Kafka, чтобы повторный импорт не дописал дубли. Если
+ClickHouse уже успел прочитать частичные сообщения, очистите стенд через
+`make clean` и повторите импорт.
+
+## Live-продолжение
+
+После импорта запускайте live с теми же настройками, что были в артефакте:
+
+```bash
+GEN_STATE_RESET=false \
+GEN_SEED=4242 \
+GEN_MODEL_T0=2026-01-01T00:00:00+00:00 \
+GEN_MODEL_T_END=2026-01-01T06:00:00+00:00 \
+GEN_MODEL_TIMEZONE=UTC \
+GEN_MODEL_TIME_SPEED=1 \
+docker compose up -d generator
+```
+
+Если читаемый state есть, но настройки не совпадают, генератор падает с перечнем
+полей. Это защита от смешения разных миров. Для намеренного нового мира
+используйте `GEN_STATE_RESET=true` или `make clean`.
@@ -90,6 +90,8 @@ ADR-0005 решил отвязать время генератора от реа
  одну настенную секунду. Формат: положительное число, по умолчанию `1`.
 - `GEN_RUN_MODE` — режим запуска: `live` или `backfill`. Значение по умолчанию —
  `live`.
+- `GEN_STARTUP_HISTORY_ARTIFACT` — путь к JSON-файлу, куда `backfill` дополнительно
+  пишет портативный артефакт стартовой истории. В обычном live-запуске не нужен.
 - `GEN_SEED`, `GEN_TICK_SECONDS` и остальные настройки генерации остаются частью
  контракта повторяемости. Если они отличаются, артефакт стартовой истории
  считается другим.
@@ -162,12 +164,35 @@ resume_model_at =
 `GEN_MODEL_TIME_SPEED` короткая настенная пауза может стать долгой модельной
 паузой, и тогда просроченные активные визиты закрываются.

+Если state отсутствует или повреждён, генератор стартует чисто и пишет
+предупреждение. Если state читается, `GEN_STATE_RESET=false`, но настройки
+продолжения несовместимы (`GEN_SEED`, `GEN_MODEL_T0`, `GEN_MODEL_TIMEZONE`,
+`GEN_MODEL_TIME_SPEED`, а для стартовой истории ещё и `GEN_MODEL_T_END` или
+manifest), генератор должен упасть с перечнем разошедшихся полей и подсказкой
+использовать `GEN_STATE_RESET=true` для осознанного нового мира.
+
 #### Манифест стартовой истории

 Стартовая история состоит из трёх частей: события, слепок состояния и манифест.
-Манифест хранится как JSON в Kafka compact-topic
+В рабочем стенде манифест хранится как JSON в Kafka compact-topic
 `generator_startup_history_manifest`, ключ `default`. Слепок состояния хранится
-в `generator_state`, ключ `default`. Манифест минимум содержит:
+в `generator_state`, ключ `default`.
+
+Портативный файл-артефакт хранит тот же связный набор: сообщения топиков
+`browser_events`, `location_events`, `device_events`, `geo_events`, слепок state
+и manifest. Для событий хранится raw JSON value, чтобы импорт мог воспроизвести
+Kafka-сообщения без повторной сериализации dict. Импорт артефакта воспроизводит
+сообщения в Kafka и записывает state с manifest в служебные compact-топики.
+Напрямую в ClickHouse импорт не пишет: ClickHouse наполняется штатным путём через
+Kafka engine и Materialized View.
+
+Импорт рассчитан на чистый стенд. Перед записью он проверяет, что data-топики
+Kafka пустые. Так как текущий Python-клиент Kafka не даёт транзакционный producer
+для нескольких топиков, при ошибке записи импорт удаляет import-топики Kafka,
+чтобы повторный импорт не дописал дубли; если ClickHouse уже успел прочитать
+частичные сообщения, стенд очищается как clean-stand сценарий.
+
+Манифест минимум содержит:

 - `manifest_version`;
 - `generated_at` — настенная UTC-метка создания артефакта;
@@ -186,8 +211,8 @@ resume_model_at =
 только если `state.last_batch_id`, `state.model_timestamp`, `GEN_SEED`,
 `GEN_MODEL_T0`, `GEN_MODEL_T_END`, `GEN_MODEL_TIMEZONE`, `GEN_MODEL_TIME_SPEED`
 и `generation_settings` совпадают. Startup-history state без подходящего
-manifest считается несовместимым и ведёт к чистому старту, а не к восстановлению
-по правилу live-сбоя.
+manifest считается несовместимым читаемым state и даёт жёсткий отказ при
+`GEN_STATE_RESET=false`.

 #### Повторяемая проверка в ClickHouse

@@ -78,6 +78,7 @@ generator-service -> Kafka topics -> (потребители отдельно)
 | `GEN_MODEL_TIMEZONE` | Часовой пояс модельных часов для дневного коэффициента | `UTC` |
 | `GEN_MODEL_TIME_SPEED` | Сколько модельных секунд проходит за одну настенную секунду | `1` |
 | `GEN_RUN_MODE` | Режим генератора | `live` |
+| `GEN_STARTUP_HISTORY_ARTIFACT` | JSON-файл для экспорта стартовой истории в режиме `backfill` | — |
 | `GEN_DATA_DIR` | Путь к JSONL файлам | `/data` |
 | `GEN_SEED` | Сид для воспроизводимости | — |
 | `GEN_ENABLED` | Включить генерацию | `true` |
@@ -104,6 +105,8 @@ GEN_LAMBDA_BASE_PER_MIN=60 GEN_POPULATION_MAX=500 docker compose up -d generator
 на `T_end` в `generator_state` и пишет manifest в compact-topic
 `generator_startup_history_manifest`. Live-запуск с теми же настройками
 использует этот manifest, чтобы продолжить ровно с `T_end` без настенной дельты.
+Экспорт и импорт портативного файла описаны в
+[`docs/runbooks/startup-history.md`](../docs/runbooks/startup-history.md).
 Для одноразового backfill-запуска через compose используйте `docker compose run
 --rm generator`, а не `docker compose up generator`: у штатного сервиса включён
 restart policy.
@@ -92,6 +92,11 @@ class Config:
    run_mode: str = field(
        default_factory=lambda: os.getenv("GEN_RUN_MODE", "live")
    )
+    startup_history_artifact: Path | None = field(
+        default_factory=lambda: Path(os.getenv("GEN_STARTUP_HISTORY_ARTIFACT"))
+        if os.getenv("GEN_STARTUP_HISTORY_ARTIFACT")
+        else None
+    )

    def __post_init__(self):
        if self.tick_seconds < 1:
@@ -62,6 +62,16 @@ def _kafka_importer():
    return _facade_attr("_import_kafka", _import_kafka)


+def kafka_event_value_json(event: dict) -> str:
+    """Возвращает JSON value ровно в формате Kafka producer генератора."""
+    return json.dumps(event)
+
+
+def kafka_event_value_bytes(event: dict) -> bytes:
+    """Возвращает Kafka value bytes для события генератора."""
+    return kafka_event_value_json(event).encode("utf-8")
+
+
@dataclass
 class BatchRecord:
    """Запись об отправленном батче."""
@@ -380,7 +390,7 @@ class KafkaPublisher:
            logger.info(f"Connecting to Kafka at {self.bootstrap_servers}")
            self.producer = KafkaProducerCls(
                bootstrap_servers=self.bootstrap_servers,
-                value_serializer=lambda v: json.dumps(v).encode("utf-8"),
+                value_serializer=kafka_event_value_bytes,
                key_serializer=lambda k: k.encode("utf-8") if k else None,
                batch_size=16384,
                linger_ms=100,
@@ -1,7 +1,5 @@
 """Основной сервисный цикл генератора."""

-import hashlib
-import json
 import logging
 import sys
 import time
@@ -27,108 +25,19 @@ from clickstream_generator.metrics import (
    METRICS_TICK_DURATION,
 )
 from clickstream_generator.runtime import TickStreamGenerator
+from clickstream_generator.startup_history_artifact import (
+    StartupHistoryArtifactBuilder,
+    build_manifest,
+    generation_settings_from_config,
+    write_startup_history_artifact,
+)


 logger = logging.getLogger("generator")


-class _TopicManifestStats:
-    """Накопительные счётчики одного Kafka-топика для manifest."""
-
-    def __init__(self):
-        self.rows = 0
-        self.min_event_timestamp: str | None = None
-        self.max_event_timestamp: str | None = None
-        self._checksum = hashlib.sha256()
-
-    @property
-    def checksum(self) -> str:
-        return self._checksum.hexdigest()
-
-    def add(self, event: dict, event_timestamp: str | None = None) -> None:
-        self.rows += 1
-        self._checksum.update(
-            json.dumps(event, sort_keys=True, ensure_ascii=True).encode("utf-8")
-        )
-        timestamp = event_timestamp if event_timestamp is not None else event.get("event_timestamp")
-        self.add_timestamp(timestamp)
-
-    def add_timestamp(self, timestamp: str | None) -> None:
-        if timestamp is None:
-            return
-        if self.min_event_timestamp is None or timestamp < self.min_event_timestamp:
-            self.min_event_timestamp = timestamp
-        if self.max_event_timestamp is None or timestamp > self.max_event_timestamp:
-            self.max_event_timestamp = timestamp
-
-    def to_dict(self) -> dict:
-        return {
-            "rows": self.rows,
-            "min_event_timestamp": self.min_event_timestamp,
-            "max_event_timestamp": self.max_event_timestamp,
-            "checksum_sha256": self.checksum,
-        }
-
-
-class _ManifestCounters:
-    """Счётчики стартовой истории для manifest."""
-
-    def __init__(self):
-        self.topic_stats = {
-            topic: _TopicManifestStats()
-            for topic in ("browser_events", "location_events", "device_events", "geo_events")
-        }
-        self.click_ids: set[str] = set()
-        self.user_ids: set[str] = set()
-
-    def add_batch(self, batch: dict[str, list[dict]]) -> None:
-        browser_events = batch.get("browser_events", [])
-        event_timestamps = {
-            event["event_id"]: event.get("event_timestamp")
-            for event in browser_events
-            if event.get("event_id") and event.get("event_timestamp")
-        }
-        click_timestamps: dict[str, list[str]] = {}
-        for event in browser_events:
-            click_id = event.get("click_id")
-            timestamp = event.get("event_timestamp")
-            if click_id and timestamp:
-                click_timestamps.setdefault(click_id, []).append(timestamp)
-
-        for topic, events in batch.items():
-            stats = self.topic_stats[topic]
-            for event in events:
-                event_timestamp = event.get("event_timestamp")
-                if event_timestamp is None and topic == "location_events":
-                    event_timestamp = event_timestamps.get(event.get("event_id"))
-                if event_timestamp is None and topic in ("device_events", "geo_events"):
-                    timestamps = click_timestamps.get(event.get("click_id"))
-                    if timestamps:
-                        event_timestamp = min(timestamps)
-                        stats.add_timestamp(max(timestamps))
-                stats.add(event, event_timestamp=event_timestamp)
-                click_id = event.get("click_id")
-                if topic == "browser_events" and click_id:
-                    self.click_ids.add(click_id)
-                user_id = event.get("user_domain_id")
-                if topic == "device_events" and user_id:
-                    self.user_ids.add(user_id)
-
-    def to_manifest_topics(self) -> dict:
-        return {
-            topic: stats.to_dict()
-            for topic, stats in self.topic_stats.items()
-        }
-
-    def to_manifest_totals(self) -> dict:
-        browser_stats = self.topic_stats["browser_events"]
-        return {
-            "events": browser_stats.rows,
-            "visits": len(self.click_ids),
-            "users": len(self.user_ids),
-            "min_event_timestamp": browser_stats.min_event_timestamp,
-            "max_event_timestamp": browser_stats.max_event_timestamp,
-        }
+class IncompatibleStateError(ValueError):
+    """Читаемый state относится к другому миру генерации."""


 class GeneratorService:
@@ -201,8 +110,15 @@ class GeneratorService:
                                model_t_end=model_t_end,
                            )
                        elif self._is_startup_history_marker(restored_state):
-                            raise ValueError(
-                                "startup-history state without matching manifest"
+                            mismatches = self._startup_history_mismatch_fields(
+                                restored_state,
+                                manifest,
+                            )
+                            raise IncompatibleStateError(
+                                "startup-history state mismatch: "
+                                + ", ".join(mismatches)
+                                + "; set GEN_STATE_RESET=true to start a new "
+                                "world intentionally"
                            )
                        else:
                            self._restore_live_state(
@@ -214,6 +130,13 @@ class GeneratorService:
                            f"model_time={self._model_time.isoformat()}, "
                            f"last_batch_id={restored_state.last_batch_id}"
                        )
+                    except IncompatibleStateError:
+                        logger.error(
+                            "Readable generator state is incompatible with "
+                            "current settings; set GEN_STATE_RESET=true to "
+                            "start a new world intentionally."
+                        )
+                        raise
                    except Exception as e:
                        logger.warning(
                            f"State data was invalid, starting fresh: {e}"
@@ -290,27 +213,36 @@ class GeneratorService:
        """Проверяет, что state относится к текущей конфигурации live-запуска."""
        mismatches = []
        if state.gen_seed != self.config.seed:
-            mismatches.append("gen_seed")
+            mismatches.append("GEN_SEED")
        if self._as_aware_utc(state.model_t0) != self.config.model_t0:
-            mismatches.append("model_t0")
+            mismatches.append("GEN_MODEL_T0")
        if state.model_timezone != self.config.model_timezone:
-            mismatches.append("model_timezone")
+            mismatches.append("GEN_MODEL_TIMEZONE")
        if abs(state.model_time_speed - self.config.model_time_speed) > 1e-9:
-            mismatches.append("model_time_speed")
+            mismatches.append("GEN_MODEL_TIME_SPEED")

        if mismatches:
-            raise ValueError(
-                "state config mismatch: " + ", ".join(mismatches)
+            raise IncompatibleStateError(
+                "state config mismatch: "
+                + ", ".join(mismatches)
+                + "; set GEN_STATE_RESET=true to start a new world intentionally"
            )

    def _is_startup_history_state(self, state, manifest: dict | None) -> bool:
        """Проверяет, что state совпадает со слепком стартовой истории."""
+        return not self._startup_history_mismatch_fields(state, manifest)
+
+    def _startup_history_mismatch_fields(self, state, manifest: dict | None) -> list[str]:
+        """Возвращает поля, по которым startup-history state не совпал."""
+        mismatches = []
        if not manifest or manifest.get("run_mode") != "backfill":
-            return False
+            return ["generator_startup_history_manifest"]

        expected_state = manifest.get("state") or {}
+        if manifest.get("state_version") != state.version:
+            mismatches.append("state_version")
        if expected_state.get("last_batch_id") != state.last_batch_id:
-            return False
+            mismatches.append("state.last_batch_id")

        try:
            model_t_end = self._as_aware_utc(
@@ -320,32 +252,34 @@ class GeneratorService:
                datetime.fromisoformat(manifest["model_t0"])
            )
        except (KeyError, TypeError, ValueError):
-            return False
+            return ["manifest.model_t0", "manifest.model_t_end"]

        if self._as_aware_utc(state.model_timestamp) != model_t_end:
-            return False
+            mismatches.append("GEN_MODEL_T_END")
        if self._as_aware_utc(state.model_t0) != model_t0:
-            return False
+            mismatches.append("GEN_MODEL_T0")
        if state.gen_seed != manifest.get("gen_seed"):
-            return False
+            mismatches.append("GEN_SEED")
        if state.model_timezone != manifest.get("model_timezone"):
-            return False
+            mismatches.append("GEN_MODEL_TIMEZONE")
        if (
            self.config.model_t_end is not None
            and self.config.model_t_end != model_t_end
        ):
-            return False
+            mismatches.append("GEN_MODEL_T_END")
        if model_t0 != self.config.model_t0:
-            return False
+            mismatches.append("GEN_MODEL_T0")
        if manifest.get("gen_seed") != self.config.seed:
-            return False
+            mismatches.append("GEN_SEED")
        if manifest.get("model_timezone") != self.config.model_timezone:
-            return False
+            mismatches.append("GEN_MODEL_TIMEZONE")

        settings = manifest.get("generation_settings") or {}
        if abs(state.model_time_speed - settings.get("model_time_speed", -1)) > 1e-9:
-            return False
-        return self._generation_settings() == settings
+            mismatches.append("GEN_MODEL_TIME_SPEED")
+        if self._generation_settings() != settings:
+            mismatches.append("generation_settings")
+        return list(dict.fromkeys(mismatches))

    def _is_startup_history_marker(self, state) -> bool:
        """Отличает state стартовой истории от обычного live-state."""
@@ -400,7 +334,7 @@ class GeneratorService:
            self.config.model_t0.isoformat(),
            self.config.model_t_end.isoformat(),
        )
-        counters = _ManifestCounters()
+        artifact_builder = StartupHistoryArtifactBuilder()

        while self._model_time < self.config.model_t_end:
            self._tick += 1
@@ -415,7 +349,7 @@ class GeneratorService:
            )
            total_sent, sent_counts, status = self._publish_batch(batch)
            self._raise_on_backfill_publish_error(batch_id, status, sent_counts)
-            counters.add_batch(batch)
+            artifact_builder.add_batch(batch)
            self._write_batch_history(
                batch_id=batch_id,
                started_at=started_at,
@@ -441,7 +375,7 @@ class GeneratorService:
                final_status,
                sent_counts,
            )
-            counters.add_batch(final_batch)
+            artifact_builder.add_batch(final_batch)
            self._write_batch_history(
                batch_id=batch_id,
                started_at=started_at,
@@ -455,7 +389,7 @@ class GeneratorService:
            self.publisher.flush()

        self._model_time = self.config.model_t_end
-        state_batch_id = self._startup_state_batch_id(counters)
+        state_batch_id = self._startup_state_batch_id(artifact_builder.counters)
        state = self.stream.to_state(
            tick=self._tick,
            rng_state=self.generator.rng.getstate(),
@@ -469,8 +403,9 @@ class GeneratorService:
            gen_seed=self.config.seed,
        )

-        manifest = self._build_startup_history_manifest(
-            counters=counters,
+        manifest = build_manifest(
+            config=self.config,
+            counters=artifact_builder.counters,
            state=state,
        )
        if self.manifest_manager:
@@ -481,6 +416,17 @@ class GeneratorService:
            self.state_manager.save(state)
            self.state_manager.flush()

+        if self.config.startup_history_artifact is not None:
+            artifact = artifact_builder.to_artifact(manifest=manifest, state=state)
+            write_startup_history_artifact(
+                self.config.startup_history_artifact,
+                artifact,
+            )
+            logger.info(
+                "Startup history artifact written: %s",
+                self.config.startup_history_artifact,
+            )
+
        logger.info(
            "Backfill completed: events=%s, visits=%s, users=%s, final_sent=%s",
            manifest["totals"]["events"],
@@ -565,40 +511,10 @@ class GeneratorService:
        return f"startup-history-{digest}"

    def _build_startup_history_manifest(self, counters, state) -> dict:
-        return {
-            "manifest_version": "1.0",
-            "generated_at": datetime.now(timezone.utc).isoformat(),
-            "gen_seed": self.config.seed,
-            "model_t0": self.config.model_t0.isoformat(),
-            "model_t_end": self.config.model_t_end.isoformat(),
-            "model_timezone": self.config.model_timezone,
-            "run_mode": "backfill",
-            "generation_settings": self._generation_settings(),
-            "state_version": state.version,
-            "state": {
-                "topic": KafkaStateManager.STATE_TOPIC,
-                "key": KafkaStateManager.STATE_KEY,
-                "last_batch_id": state.last_batch_id,
-                "model_timestamp": state.model_timestamp.isoformat(),
-            },
-            "topics": counters.to_manifest_topics(),
-            "totals": counters.to_manifest_totals(),
-        }
+        return build_manifest(config=self.config, counters=counters, state=state)

    def _generation_settings(self) -> dict:
-        return {
-            "tick_seconds": self.config.tick_seconds,
-            "lambda_base_per_min": self.config.lambda_base_per_min,
-            "jitter_pct": self.config.jitter_pct,
-            "min_events_per_tick": self.config.min_events_per_tick,
-            "max_events_per_tick": self.config.max_events_per_tick,
-            "max_session_events": self.config.max_session_events,
-            "max_active_sessions": self.config.max_active_sessions,
-            "population_max": self.config.population_max,
-            "p_new_user": self.config.p_new_user,
-            "min_return_minutes": self.config.min_return_minutes,
-            "model_time_speed": self.config.model_time_speed,
-        }
+        return generation_settings_from_config(self.config)

    def _main_loop(self):
        """Основной цикл тиков."""
@@ -0,0 +1,642 @@
+"""Портативный артефакт стартовой истории."""
+
+from __future__ import annotations
+
+import argparse
+import hashlib
+import json
+import logging
+from copy import deepcopy
+from datetime import datetime, timezone
+from pathlib import Path
+from typing import Any
+
+from clickstream_generator.config import Config
+from clickstream_generator.kafka_io import (
+    KafkaStateManager,
+    KafkaStartupHistoryManifest,
+    ensure_topics,
+    kafka_event_value_json,
+    _kafka_importer,
+)
+from clickstream_generator.state import GeneratorState
+
+
+logger = logging.getLogger("generator")
+
+ARTIFACT_KIND = "clickstream_generator_startup_history"
+ARTIFACT_VERSION = "1.0"
+TOPICS = ("browser_events", "location_events", "device_events", "geo_events")
+IMPORT_TOPICS = (
+    "browser_events",
+    "location_events",
+    "device_events",
+    "geo_events",
+    KafkaStateManager.STATE_TOPIC,
+    KafkaStartupHistoryManifest.MANIFEST_TOPIC,
+)
+
+
+class _TopicManifestStats:
+    """Накопительные счётчики одного Kafka-топика для manifest."""
+
+    def __init__(self):
+        self.rows = 0
+        self.min_event_timestamp: str | None = None
+        self.max_event_timestamp: str | None = None
+        self._checksum = hashlib.sha256()
+
+    @property
+    def checksum(self) -> str:
+        return self._checksum.hexdigest()
+
+    def add(self, event: dict, event_timestamp: str | None = None) -> None:
+        self.rows += 1
+        self._checksum.update(
+            json.dumps(event, sort_keys=True, ensure_ascii=True).encode("utf-8")
+        )
+        timestamp = (
+            event_timestamp
+            if event_timestamp is not None
+            else event.get("event_timestamp")
+        )
+        self.add_timestamp(timestamp)
+
+    def add_timestamp(self, timestamp: str | None) -> None:
+        if timestamp is None:
+            return
+        if self.min_event_timestamp is None or timestamp < self.min_event_timestamp:
+            self.min_event_timestamp = timestamp
+        if self.max_event_timestamp is None or timestamp > self.max_event_timestamp:
+            self.max_event_timestamp = timestamp
+
+    def to_dict(self) -> dict:
+        return {
+            "rows": self.rows,
+            "min_event_timestamp": self.min_event_timestamp,
+            "max_event_timestamp": self.max_event_timestamp,
+            "checksum_sha256": self.checksum,
+        }
+
+
+class ManifestCounters:
+    """Счётчики стартовой истории для manifest."""
+
+    def __init__(self):
+        self.topic_stats = {topic: _TopicManifestStats() for topic in TOPICS}
+        self.click_ids: set[str] = set()
+        self.user_ids: set[str] = set()
+
+    def add_batch(self, batch: dict[str, list[dict]]) -> None:
+        browser_events = batch.get("browser_events", [])
+        event_timestamps = {
+            event["event_id"]: event.get("event_timestamp")
+            for event in browser_events
+            if event.get("event_id") and event.get("event_timestamp")
+        }
+        click_timestamps: dict[str, list[str]] = {}
+        for event in browser_events:
+            click_id = event.get("click_id")
+            timestamp = event.get("event_timestamp")
+            if click_id and timestamp:
+                click_timestamps.setdefault(click_id, []).append(timestamp)
+
+        for topic, events in batch.items():
+            if topic not in self.topic_stats:
+                raise ValueError(f"unknown startup history topic: {topic}")
+            stats = self.topic_stats[topic]
+            for event in events:
+                event_timestamp = event.get("event_timestamp")
+                if event_timestamp is None and topic == "location_events":
+                    event_timestamp = event_timestamps.get(event.get("event_id"))
+                if event_timestamp is None and topic in ("device_events", "geo_events"):
+                    timestamps = click_timestamps.get(event.get("click_id"))
+                    if timestamps:
+                        event_timestamp = min(timestamps)
+                        stats.add_timestamp(max(timestamps))
+                stats.add(event, event_timestamp=event_timestamp)
+                click_id = event.get("click_id")
+                if topic == "browser_events" and click_id:
+                    self.click_ids.add(click_id)
+                user_id = event.get("user_domain_id")
+                if topic == "device_events" and user_id:
+                    self.user_ids.add(user_id)
+
+    def to_manifest_topics(self) -> dict:
+        return {topic: stats.to_dict() for topic, stats in self.topic_stats.items()}
+
+    def to_manifest_totals(self) -> dict:
+        browser_stats = self.topic_stats["browser_events"]
+        return {
+            "events": browser_stats.rows,
+            "visits": len(self.click_ids),
+            "users": len(self.user_ids),
+            "min_event_timestamp": browser_stats.min_event_timestamp,
+            "max_event_timestamp": browser_stats.max_event_timestamp,
+        }
+
+
+class StartupHistoryArtifactBuilder:
+    """Собирает сообщения топиков для портативного файла."""
+
+    def __init__(self):
+        self.topics = {topic: [] for topic in TOPICS}
+        self.raw_topics = {topic: [] for topic in TOPICS}
+        self.counters = ManifestCounters()
+
+    def add_batch(self, batch: dict[str, list[dict]]) -> None:
+        self.counters.add_batch(batch)
+        for topic in TOPICS:
+            for event in batch.get(topic, []):
+                self.topics[topic].append(deepcopy(event))
+                self.raw_topics[topic].append(
+                    {
+                        "key": _event_key(event),
+                        "value_json": _event_value_json(event),
+                    }
+                )
+
+    def to_artifact(self, manifest: dict, state: GeneratorState) -> dict:
+        return {
+            "artifact_version": ARTIFACT_VERSION,
+            "kind": ARTIFACT_KIND,
+            "created_at": datetime.now(timezone.utc).isoformat(),
+            "manifest": deepcopy(manifest),
+            "state": state.to_dict(),
+            "topics": deepcopy(self.topics),
+            "raw_topics": deepcopy(self.raw_topics),
+        }
+
+
+class KafkaRawPublisher:
+    """Публикует сохранённые Kafka value bytes без повторной JSON-сериализации."""
+
+    def __init__(self, bootstrap_servers: str):
+        self.bootstrap_servers = bootstrap_servers
+        KafkaProducerCls, _ = _kafka_importer()()
+        self.producer = KafkaProducerCls(
+            bootstrap_servers=self.bootstrap_servers,
+            key_serializer=lambda k: k.encode("utf-8") if k else None,
+            retries=3,
+            retry_backoff_ms=1000,
+        )
+
+    def publish_records(self, topic: str, records: list[dict]) -> tuple[int, int]:
+        sent = 0
+        errors = 0
+        futures = []
+        for record in records:
+            future = self.producer.send(
+                topic,
+                key=record.get("key"),
+                value=record["value_json"].encode("utf-8"),
+            )
+            futures.append(future)
+        for future in futures:
+            try:
+                future.get(timeout=10)
+                sent += 1
+            except Exception:
+                errors += 1
+        return sent, errors
+
+    def flush(self) -> None:
+        self.producer.flush()
+
+    def close(self) -> None:
+        self.producer.close()
+
+
+class KafkaTopicInspector:
+    """Проверяет Kafka-топики перед clean-stand импортом."""
+
+    def __init__(self, bootstrap_servers: str):
+        self.bootstrap_servers = bootstrap_servers
+
+    def assert_data_topics_empty(self) -> None:
+        """Падает, если в data-топиках уже есть сообщения."""
+        from kafka import KafkaConsumer, TopicPartition
+
+        consumer = KafkaConsumer(
+            bootstrap_servers=self.bootstrap_servers,
+            enable_auto_commit=False,
+            consumer_timeout_ms=1000,
+        )
+        try:
+            dirty_topics = []
+            for topic in TOPICS:
+                partitions = consumer.partitions_for_topic(topic)
+                if not partitions:
+                    continue
+                topic_partitions = [
+                    TopicPartition(topic, partition)
+                    for partition in partitions
+                ]
+                end_offsets = consumer.end_offsets(topic_partitions)
+                if any(offset > 0 for offset in end_offsets.values()):
+                    dirty_topics.append(topic)
+            if dirty_topics:
+                raise RuntimeError(
+                    "Kafka data topics are not empty; clean the stand before "
+                    "startup history import: " + ", ".join(dirty_topics)
+                )
+        finally:
+            consumer.close()
+
+    def snapshot_import_topics(self) -> dict:
+        """Снимок для отката clean-stand импорта."""
+        return {"topics": list(IMPORT_TOPICS)}
+
+    def rollback_import_topics(self, snapshot: dict) -> None:
+        """Удаляет топики, которые могли получить частичный импорт."""
+        from kafka import KafkaAdminClient
+        from kafka.errors import UnknownTopicOrPartitionError
+
+        admin = KafkaAdminClient(bootstrap_servers=self.bootstrap_servers)
+        try:
+            existing_topics = set(admin.list_topics())
+            topics = [
+                topic
+                for topic in snapshot.get("topics", IMPORT_TOPICS)
+                if topic in existing_topics
+            ]
+            if not topics:
+                return
+            try:
+                admin.delete_topics(topics)
+            except UnknownTopicOrPartitionError:
+                return
+        finally:
+            admin.close()
+
+
+def generation_settings_from_config(config: Config) -> dict:
+    """Возвращает настройки, влияющие на поток генерации."""
+    return {
+        "tick_seconds": config.tick_seconds,
+        "lambda_base_per_min": config.lambda_base_per_min,
+        "jitter_pct": config.jitter_pct,
+        "min_events_per_tick": config.min_events_per_tick,
+        "max_events_per_tick": config.max_events_per_tick,
+        "max_session_events": config.max_session_events,
+        "max_active_sessions": config.max_active_sessions,
+        "population_max": config.population_max,
+        "p_new_user": config.p_new_user,
+        "min_return_minutes": config.min_return_minutes,
+        "model_time_speed": config.model_time_speed,
+    }
+
+
+def build_manifest(config: Config, counters: ManifestCounters, state: GeneratorState) -> dict:
+    """Строит manifest стартовой истории."""
+    if config.model_t_end is None:
+        raise ValueError("GEN_MODEL_T_END is required for startup history manifest")
+    return {
+        "manifest_version": "1.0",
+        "generated_at": datetime.now(timezone.utc).isoformat(),
+        "gen_seed": config.seed,
+        "model_t0": config.model_t0.isoformat(),
+        "model_t_end": config.model_t_end.isoformat(),
+        "model_timezone": config.model_timezone,
+        "run_mode": "backfill",
+        "generation_settings": generation_settings_from_config(config),
+        "state_version": state.version,
+        "state": {
+            "topic": KafkaStateManager.STATE_TOPIC,
+            "key": KafkaStateManager.STATE_KEY,
+            "last_batch_id": state.last_batch_id,
+            "model_timestamp": state.model_timestamp.isoformat(),
+        },
+        "topics": counters.to_manifest_topics(),
+        "totals": counters.to_manifest_totals(),
+    }
+
+
+def write_startup_history_artifact(path: str | Path, artifact: dict) -> None:
+    """Пишет артефакт в JSON-файл."""
+    target = Path(path)
+    target.parent.mkdir(parents=True, exist_ok=True)
+    target.write_text(
+        json.dumps(artifact, ensure_ascii=True, indent=2),
+        encoding="utf-8",
+    )
+
+
+def load_startup_history_artifact(path: str | Path) -> dict:
+    """Читает артефакт из JSON-файла."""
+    return json.loads(Path(path).read_text(encoding="utf-8"))
+
+
+def validate_startup_history_artifact(
+    artifact: dict,
+    expected_config: Config | None = None,
+) -> tuple[GeneratorState, dict, dict[str, list[dict]], dict[str, list[dict]]]:
+    """Проверяет связку manifest, state и сообщений топиков."""
+    if not isinstance(artifact, dict):
+        raise ValueError("artifact must be an object")
+    if artifact.get("kind") != ARTIFACT_KIND:
+        raise ValueError("artifact kind mismatch")
+    if artifact.get("artifact_version") != ARTIFACT_VERSION:
+        raise ValueError("artifact version mismatch")
+
+    manifest = artifact.get("manifest")
+    state_payload = artifact.get("state")
+    topics = artifact.get("topics")
+    raw_topics = artifact.get("raw_topics")
+    if not isinstance(manifest, dict):
+        raise ValueError("artifact manifest must be an object")
+    if not isinstance(state_payload, dict):
+        raise ValueError("artifact state must be an object")
+    if not isinstance(topics, dict):
+        raise ValueError("artifact topics must be an object")
+    if not isinstance(raw_topics, dict):
+        raise ValueError("artifact raw_topics must be an object")
+    for topic in TOPICS:
+        if not isinstance(topics.get(topic), list):
+            raise ValueError(f"artifact topic {topic} must be a list")
+        if not isinstance(raw_topics.get(topic), list):
+            raise ValueError(f"artifact raw topic {topic} must be a list")
+
+    state = GeneratorState.from_dict(state_payload)
+    _validate_manifest_state(manifest, state)
+    _validate_manifest_topics(manifest, topics)
+    _validate_raw_topics(topics, raw_topics)
+    if expected_config is not None:
+        _validate_manifest_config(manifest, expected_config)
+    return (
+        state,
+        manifest,
+        {topic: topics[topic] for topic in TOPICS},
+        {topic: raw_topics[topic] for topic in TOPICS},
+    )
+
+
+def import_startup_history_artifact(
+    artifact: dict,
+    *,
+    publisher,
+    state_manager,
+    manifest_manager,
+    expected_config: Config | None = None,
+    topic_inspector=None,
+) -> dict:
+    """Воспроизводит артефакт в Kafka и compact-топиках генератора."""
+    state, manifest, topics, raw_topics = validate_startup_history_artifact(
+        artifact,
+        expected_config=expected_config,
+    )
+    if topic_inspector is not None:
+        topic_inspector.assert_data_topics_empty()
+        snapshot = (
+            topic_inspector.snapshot_import_topics()
+            if hasattr(topic_inspector, "snapshot_import_topics")
+            else None
+        )
+    else:
+        snapshot = None
+
+    if not hasattr(publisher, "publish_records"):
+        raise TypeError(
+            "startup history import requires publisher.publish_records "
+            "for raw Kafka values"
+        )
+
+    try:
+        sent_total = 0
+        sent_by_topic = {}
+
+        for topic in TOPICS:
+            raw_records = raw_topics[topic]
+            if not raw_records:
+                sent_by_topic[topic] = 0
+                continue
+            sent, errors = publisher.publish_records(topic, raw_records)
+            if errors:
+                raise RuntimeError(
+                    f"Startup history import failed for {topic}: sent={sent}, errors={errors}"
+                )
+            sent_total += sent
+            sent_by_topic[topic] = sent
+
+        publisher.flush()
+        manifest_manager.save(manifest)
+        manifest_manager.flush()
+        state_manager.save(state)
+        state_manager.flush()
+    except Exception:
+        if (
+            topic_inspector is not None
+            and snapshot is not None
+            and hasattr(topic_inspector, "rollback_import_topics")
+        ):
+            topic_inspector.rollback_import_topics(snapshot)
+        raise
+
+    return {"events": sent_total, "topics": sent_by_topic}
+
+
+def compare_clickhouse_stats_to_manifest(
+    manifest: dict,
+    stats: dict[str, str],
+) -> list[str]:
+    """Возвращает поля ClickHouse, которые не совпали с manifest."""
+    totals = manifest.get("totals") or {}
+    expected = {
+        "events": str(totals.get("events")),
+        "visits": str(totals.get("visits")),
+        "users": str(totals.get("users")),
+        "min_event_timestamp": str(totals.get("min_event_timestamp")),
+        "max_event_timestamp": str(totals.get("max_event_timestamp")),
+    }
+    return [
+        field
+        for field, expected_value in expected.items()
+        if str(stats.get(field)) != expected_value
+    ]
+
+
+def _validate_manifest_state(manifest: dict, state: GeneratorState) -> None:
+    mismatches = []
+    expected_state = manifest.get("state") or {}
+    if manifest.get("run_mode") != "backfill":
+        mismatches.append("run_mode")
+    if manifest.get("state_version") != state.version:
+        mismatches.append("state_version")
+    if expected_state.get("last_batch_id") != state.last_batch_id:
+        mismatches.append("state.last_batch_id")
+    if expected_state.get("model_timestamp") != state.model_timestamp.isoformat():
+        mismatches.append("state.model_timestamp")
+    try:
+        model_t0 = _parse_manifest_timestamp(manifest["model_t0"])
+        model_t_end = _parse_manifest_timestamp(manifest["model_t_end"])
+    except (KeyError, TypeError, ValueError) as exc:
+        raise ValueError(f"manifest time fields are invalid: {exc}") from exc
+    if state.model_t0 != model_t0:
+        mismatches.append("GEN_MODEL_T0")
+    if state.model_timestamp != model_t_end:
+        mismatches.append("GEN_MODEL_T_END")
+    if state.gen_seed != manifest.get("gen_seed"):
+        mismatches.append("GEN_SEED")
+    if state.model_timezone != manifest.get("model_timezone"):
+        mismatches.append("GEN_MODEL_TIMEZONE")
+    settings = manifest.get("generation_settings") or {}
+    if abs(state.model_time_speed - settings.get("model_time_speed", -1)) > 1e-9:
+        mismatches.append("GEN_MODEL_TIME_SPEED")
+    if mismatches:
+        raise ValueError("startup history artifact mismatch: " + ", ".join(mismatches))
+
+
+def _validate_manifest_topics(manifest: dict, topics: dict[str, list[dict]]) -> None:
+    counters = ManifestCounters()
+    counters.add_batch({topic: topics[topic] for topic in TOPICS})
+    expected_topics = manifest.get("topics") or {}
+    expected_totals = manifest.get("totals") or {}
+    if counters.to_manifest_topics() != expected_topics:
+        raise ValueError("startup history artifact mismatch: topic checksums")
+    if counters.to_manifest_totals() != expected_totals:
+        raise ValueError("startup history artifact mismatch: totals")
+
+
+def _validate_raw_topics(
+    topics: dict[str, list[dict]],
+    raw_topics: dict[str, list[dict]],
+) -> None:
+    for topic in TOPICS:
+        if len(raw_topics[topic]) != len(topics[topic]):
+            raise ValueError(f"artifact raw topic {topic} row count mismatch")
+        for event, record in zip(topics[topic], raw_topics[topic]):
+            if record.get("key") != _event_key(event):
+                raise ValueError(f"artifact raw topic {topic} key mismatch")
+            if _raw_value_to_event(record.get("value_json"), topic) != event:
+                raise ValueError(f"artifact raw topic {topic} value mismatch")
+
+
+def _event_key(event: dict) -> str | None:
+    return event.get("event_id") or event.get("click_id")
+
+
+def _event_value_json(event: dict) -> str:
+    return kafka_event_value_json(event)
+
+
+def _raw_value_to_event(value: Any, topic: str) -> dict:
+    if not isinstance(value, str):
+        raise ValueError(f"artifact raw topic {topic} value must be a string")
+    try:
+        event = json.loads(value)
+    except json.JSONDecodeError as exc:
+        raise ValueError(f"artifact raw topic {topic} value must be valid JSON") from exc
+    if not isinstance(event, dict):
+        raise ValueError(f"artifact raw topic {topic} value must be a JSON object")
+    return event
+
+
+def _validate_manifest_config(manifest: dict, config: Config) -> None:
+    mismatches = []
+    if manifest.get("gen_seed") != config.seed:
+        mismatches.append("GEN_SEED")
+    if _parse_manifest_timestamp(manifest.get("model_t0")) != config.model_t0:
+        mismatches.append("GEN_MODEL_T0")
+    if config.model_t_end is None:
+        mismatches.append("GEN_MODEL_T_END")
+    elif _parse_manifest_timestamp(manifest.get("model_t_end")) != config.model_t_end:
+        mismatches.append("GEN_MODEL_T_END")
+    if manifest.get("model_timezone") != config.model_timezone:
+        mismatches.append("GEN_MODEL_TIMEZONE")
+    if manifest.get("generation_settings") != generation_settings_from_config(config):
+        mismatches.append("generation_settings")
+    if mismatches:
+        raise ValueError(
+            "startup history artifact is incompatible with current settings: "
+            + ", ".join(mismatches)
+        )
+
+
+def _parse_manifest_timestamp(value: Any) -> datetime:
+    if not isinstance(value, str):
+        raise ValueError("timestamp must be a string")
+    timestamp = datetime.fromisoformat(value.replace("Z", "+00:00"))
+    if timestamp.tzinfo is None:
+        raise ValueError("timestamp must include timezone")
+    return timestamp.astimezone(timezone.utc)
+
+
+def _run_import(args: argparse.Namespace) -> int:
+    config = Config()
+    artifact = load_startup_history_artifact(args.artifact)
+    ensure_topics(config.kafka_bootstrap_servers)
+    publisher = KafkaRawPublisher(config.kafka_bootstrap_servers)
+    state_manager = KafkaStateManager(config.kafka_bootstrap_servers)
+    manifest_manager = KafkaStartupHistoryManifest(config.kafka_bootstrap_servers)
+    topic_inspector = KafkaTopicInspector(config.kafka_bootstrap_servers)
+    try:
+        result = import_startup_history_artifact(
+            artifact,
+            publisher=publisher,
+            state_manager=state_manager,
+            manifest_manager=manifest_manager,
+            expected_config=config,
+            topic_inspector=topic_inspector,
+        )
+    finally:
+        publisher.close()
+        state_manager.close()
+        manifest_manager.close()
+    logger.info(
+        "Startup history artifact imported: events=%s, topics=%s",
+        result["events"],
+        result["topics"],
+    )
+    return 0
+
+
+def _run_validate(args: argparse.Namespace) -> int:
+    config = Config()
+    artifact = load_startup_history_artifact(args.artifact)
+    validate_startup_history_artifact(artifact, expected_config=config)
+    logger.info("Startup history artifact is valid: %s", args.artifact)
+    return 0
+
+
+def _run_manifest_summary(args: argparse.Namespace) -> int:
+    artifact = load_startup_history_artifact(args.artifact)
+    _, manifest, _, _ = validate_startup_history_artifact(artifact)
+    totals = manifest["totals"]
+    print(
+        "\t".join(
+            [
+                str(totals["events"]),
+                str(totals["visits"]),
+                str(totals["users"]),
+                str(totals["min_event_timestamp"]),
+                str(totals["max_event_timestamp"]),
+                str(manifest["model_t0"]),
+                str(manifest["model_t_end"]),
+            ]
+        )
+    )
+    return 0
+
+
+def main(argv: list[str] | None = None) -> int:
+    parser = argparse.ArgumentParser(description="Startup history artifact tools")
+    subparsers = parser.add_subparsers(dest="command", required=True)
+
+    validate_parser = subparsers.add_parser("validate")
+    validate_parser.add_argument("--artifact", required=True)
+    validate_parser.set_defaults(func=_run_validate)
+
+    import_parser = subparsers.add_parser("import")
+    import_parser.add_argument("--artifact", required=True)
+    import_parser.set_defaults(func=_run_import)
+
+    summary_parser = subparsers.add_parser("manifest-summary")
+    summary_parser.add_argument("--artifact", required=True)
+    summary_parser.set_defaults(func=_run_manifest_summary)
+
+    args = parser.parse_args(argv)
+    return args.func(args)
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())
@@ -369,6 +369,46 @@ class TestGeneratorServiceBackfill:
        assert first["digest"] == second["digest"]
        assert first["manifest_digest"] == second["manifest_digest"]

+    def test_backfill_writes_portable_artifact_when_requested(
+        self, base_config, tmp_path
+    ):
+        """Backfill пишет переносимый файл с событиями, state и manifest."""
+        from clickstream_generator.startup_history_artifact import (
+            load_startup_history_artifact,
+            validate_startup_history_artifact,
+        )
+
+        model_t0 = datetime(2026, 1, 1, 10, 0, tzinfo=timezone.utc)
+        model_t_end = model_t0 + timedelta(minutes=1)
+        artifact_path = tmp_path / "startup-history.json"
+        config = replace(
+            base_config,
+            run_mode="backfill",
+            model_t0=model_t0,
+            model_t_end=model_t_end,
+            tick_seconds=60,
+            lambda_base_per_min=600,
+            jitter_pct=0,
+            min_events_per_tick=1,
+            max_events_per_tick=1000,
+            max_session_events=5,
+            max_active_sessions=250,
+            population_max=251,
+            state_enabled=True,
+            startup_history_artifact=artifact_path,
+        )
+
+        self._run_backfill(config)
+
+        artifact = load_startup_history_artifact(artifact_path)
+        state, manifest, topics, _ = validate_startup_history_artifact(
+            artifact,
+            expected_config=config,
+        )
+        assert topics["browser_events"]
+        assert state.last_batch_id == manifest["state"]["last_batch_id"]
+        assert manifest["totals"]["events"] == len(topics["browser_events"])
+
    def test_live_start_uses_startup_manifest_without_wall_delta(
        self, base_config, event_dictionary
    ):
@@ -403,6 +443,7 @@ class TestGeneratorServiceBackfill:
            "model_t_end": model_t_end.isoformat(),
            "model_timezone": config.model_timezone,
            "generation_settings": GeneratorService(config)._generation_settings(),
+            "state_version": state.version,
            "state": {"last_batch_id": state.last_batch_id},
        }
        state_manager = MagicMock()
@@ -468,6 +509,7 @@ class TestGeneratorServiceBackfill:
            "model_t_end": manifest_t_end.isoformat(),
            "model_timezone": config.model_timezone,
            "generation_settings": GeneratorService(config)._generation_settings(),
+            "state_version": state.version,
            "state": {"last_batch_id": state.last_batch_id},
        }
        state_manager = MagicMock()
@@ -506,12 +548,61 @@ class TestGeneratorServiceBackfill:
             patch.object(GeneratorService, "_main_loop", return_value=None):

            service = GeneratorService(config)
+            with pytest.raises(ValueError, match="GEN_MODEL_T_END.*GEN_STATE_RESET=true"):
                service.start()

        restore_from_startup_history.assert_not_called()
        restore_live_state.assert_not_called()
-        assert service._tick == 0
-        assert service._model_time == config.model_t0
+
+    def test_live_start_fails_loudly_on_readable_incompatible_state(
+        self, base_config, event_dictionary
+    ):
+        """Читаемый state другого мира при продолжении даёт жёсткий отказ."""
+        model_t0 = datetime(2026, 1, 1, 10, 0, tzinfo=timezone.utc)
+        config = replace(
+            base_config,
+            model_t0=model_t0,
+            tick_seconds=60,
+            model_time_speed=10,
+            state_reset=False,
+        )
+        source_generator = EventGenerator(event_dictionary, config)
+        source_stream = TickStreamGenerator(source_generator)
+        source_stream.generate_tick(event_budget=10, tick_started_at=model_t0)
+        state = source_stream.to_state(
+            tick=5,
+            rng_state=source_generator.rng.getstate(),
+            last_batch_id="live-state",
+            last_timestamp=model_t0,
+            model_timestamp=model_t0,
+            wall_timestamp=datetime(2026, 1, 1, 0, 0, tzinfo=timezone.utc),
+            model_time_speed=config.model_time_speed,
+            model_timezone=config.model_timezone,
+            model_t0=config.model_t0,
+            gen_seed=config.seed + 1,
+        )
+        state_manager = MagicMock()
+        state_manager.load.return_value = state
+        manifest_manager = MagicMock()
+        manifest_manager.load.return_value = None
+
+        with patch("clickstream_generator.service.start_http_server"), \
+             patch("clickstream_generator.service.ensure_topics"), \
+             patch("clickstream_generator.service.KafkaPublisher"), \
+             patch("clickstream_generator.service.KafkaBatchHistory"), \
+             patch(
+                 "clickstream_generator.service.KafkaStateManager",
+                 return_value=state_manager,
+             ), \
+             patch(
+                 "clickstream_generator.service.KafkaStartupHistoryManifest",
+                 return_value=manifest_manager,
+             ), \
+             patch.object(GeneratorService, "_main_loop", return_value=None):
+
+            service = GeneratorService(config)
+            with pytest.raises(ValueError, match="GEN_SEED.*GEN_STATE_RESET=true"):
+                service.start()

    def test_live_start_rejects_orphan_startup_state_without_live_restore(
        self, base_config, event_dictionary, caplog
@@ -564,13 +655,14 @@ class TestGeneratorServiceBackfill:
             caplog.at_level(logging.WARNING, logger="generator"):

            service = GeneratorService(config)
+            with pytest.raises(
+                ValueError,
+                match="generator_startup_history_manifest.*GEN_STATE_RESET=true",
+            ):
                service.start()

        restore_from_startup_history.assert_not_called()
        restore_live_state.assert_not_called()
-        assert service._tick == 0
-        assert service._model_time == model_t0
-        assert "startup-history state without matching manifest" in caplog.text

    def test_startup_history_state_checks_state_fields(
        self, base_config, event_dictionary
@@ -601,6 +693,44 @@ class TestGeneratorServiceBackfill:
            "model_t_end": model_t_end.isoformat(),
            "model_timezone": config.model_timezone,
            "generation_settings": GeneratorService(config)._generation_settings(),
+            "state_version": state.version,
+            "state": {"last_batch_id": state.last_batch_id},
+        }
+
+        service = GeneratorService(config)
+
+        assert not service._is_startup_history_state(state, manifest)
+
+    def test_startup_history_state_checks_state_version(
+        self, base_config, event_dictionary
+    ):
+        """Startup-history state сверяется с версией state из manifest."""
+        model_t0 = datetime(2026, 1, 1, 10, 0, tzinfo=timezone.utc)
+        model_t_end = model_t0 + timedelta(minutes=5)
+        config = replace(base_config, model_t0=model_t0, model_time_speed=10)
+        source_generator = EventGenerator(event_dictionary, config)
+        source_stream = TickStreamGenerator(source_generator)
+        source_stream.generate_tick(event_budget=10, tick_started_at=model_t0)
+        state = source_stream.to_state(
+            tick=5,
+            rng_state=source_generator.rng.getstate(),
+            last_batch_id="startup-history-state",
+            last_timestamp=model_t_end,
+            model_timestamp=model_t_end,
+            wall_timestamp=datetime(2026, 1, 1, 0, 0, tzinfo=timezone.utc),
+            model_time_speed=config.model_time_speed,
+            model_timezone=config.model_timezone,
+            model_t0=config.model_t0,
+            gen_seed=config.seed,
+        )
+        manifest = {
+            "run_mode": "backfill",
+            "gen_seed": config.seed,
+            "model_t0": model_t0.isoformat(),
+            "model_t_end": model_t_end.isoformat(),
+            "model_timezone": config.model_timezone,
+            "generation_settings": GeneratorService(config)._generation_settings(),
+            "state_version": "1.0",
            "state": {"last_batch_id": state.last_batch_id},
        }

@@ -930,8 +1060,8 @@ class TestGeneratorServiceStateV2:
        assert saved_state.active_visits
        service.state_manager.flush.assert_called_once()

-    def test_incompatible_seed_state_starts_fresh(self, base_config, event_dictionary, caplog):
-        """State от другого GEN_SEED не смешивается с текущим запуском."""
+    def test_incompatible_seed_state_fails_loudly(self, base_config, event_dictionary, caplog):
+        """State от другого GEN_SEED даёт жёсткий отказ при продолжении."""
        source_config = replace(base_config, seed=7)
        source_generator = EventGenerator(event_dictionary, source_config)
        source_stream = TickStreamGenerator(source_generator)
@@ -970,11 +1100,10 @@ class TestGeneratorServiceStateV2:
             caplog.at_level(logging.WARNING, logger="generator"):

            service = GeneratorService(base_config)
+            with pytest.raises(ValueError, match="GEN_SEED.*GEN_STATE_RESET=true"):
                service.start()

-        assert service._tick == 0
-        assert service._model_time == base_config.model_t0
-        assert "state config mismatch: gen_seed" in caplog.text
+        assert "Readable generator state is incompatible" in caplog.text

    def test_state_reset_skips_loading_saved_state(self, base_config):
        """GEN_STATE_RESET=true запускает сервис с чистого состояния."""
@@ -0,0 +1,518 @@
+"""
+Тесты портативного артефакта стартовой истории.
+"""
+
+from dataclasses import replace
+from datetime import datetime, timezone
+
+import pytest
+
+from generator import GeneratorState
+
+
+def _state() -> GeneratorState:
+    import random
+
+    now = datetime(2026, 1, 1, 1, 0, tzinfo=timezone.utc)
+    return GeneratorState(
+        tick=1,
+        rng_state=random.Random(42).getstate(),
+        last_batch_id="startup-history-abc",
+        last_timestamp=now,
+        model_timestamp=now,
+        wall_timestamp=now,
+        model_time_speed=1,
+        model_timezone="UTC",
+        model_t0=datetime(2026, 1, 1, 0, 0, tzinfo=timezone.utc),
+        gen_seed=42,
+        population=[
+            {
+                "user_domain_id": "user-1",
+                "seed_click_id": "seed-1",
+                "active_click_id": None,
+                "last_finished_at": None,
+            }
+        ],
+    )
+
+
+def _batch() -> dict[str, list[dict]]:
+    return {
+        "browser_events": [
+            {
+                "event_id": "event-1",
+                "click_id": "click-1",
+                "user_domain_id": "user-1",
+                "event_timestamp": "2026-01-01 00:00:00.000000",
+            }
+        ],
+        "location_events": [
+            {
+                "event_id": "event-1",
+                "page_url_path": "/home",
+            }
+        ],
+        "device_events": [
+            {
+                "click_id": "click-1",
+                "user_domain_id": "user-1",
+            }
+        ],
+        "geo_events": [
+            {
+                "click_id": "click-1",
+                "country": "RU",
+            }
+        ],
+    }
+
+
+def test_artifact_roundtrip_keeps_events_state_and_manifest(base_config):
+    """Артефакт хранит события, state и manifest одним проверяемым набором."""
+    from clickstream_generator.startup_history_artifact import (
+        StartupHistoryArtifactBuilder,
+        build_manifest,
+        load_startup_history_artifact,
+        validate_startup_history_artifact,
+        write_startup_history_artifact,
+    )
+
+    state = _state()
+    builder = StartupHistoryArtifactBuilder()
+    builder.add_batch(_batch())
+    manifest = build_manifest(
+        config=replace(
+            base_config,
+            model_t0=state.model_t0,
+            model_t_end=state.model_timestamp,
+            model_time_speed=1,
+            model_timezone="UTC",
+            seed=42,
+        ),
+        counters=builder.counters,
+        state=state,
+    )
+
+    artifact = builder.to_artifact(manifest=manifest, state=state)
+    (
+        loaded_state,
+        loaded_manifest,
+        loaded_topics,
+        loaded_raw_topics,
+    ) = validate_startup_history_artifact(
+        artifact,
+        expected_config=replace(
+            base_config,
+            model_t0=state.model_t0,
+            model_t_end=state.model_timestamp,
+            model_time_speed=1,
+            model_timezone="UTC",
+            seed=42,
+        ),
+    )
+
+    assert artifact["artifact_version"] == "1.0"
+    assert loaded_state.last_batch_id == state.last_batch_id
+    assert loaded_manifest["state"]["last_batch_id"] == state.last_batch_id
+    assert loaded_topics["browser_events"][0]["event_id"] == "event-1"
+    assert loaded_raw_topics["browser_events"][0]["value_json"].encode("utf-8") == (
+        b'{"event_id": "event-1", "click_id": "click-1", '
+        b'"user_domain_id": "user-1", '
+        b'"event_timestamp": "2026-01-01 00:00:00.000000"}'
+    )
+
+    path = base_config.data_dir.parent / "tmp-startup-history-artifact.json"
+    try:
+        write_startup_history_artifact(path, artifact)
+        loaded = load_startup_history_artifact(path)
+        assert loaded["manifest"]["totals"]["events"] == 1
+    finally:
+        path.unlink(missing_ok=True)
+
+
+def test_artifact_validation_rejects_mismatched_manifest(base_config):
+    """Валидация отвергает артефакт, где manifest не совпадает с событиями."""
+    from clickstream_generator.startup_history_artifact import (
+        StartupHistoryArtifactBuilder,
+        build_manifest,
+        validate_startup_history_artifact,
+    )
+
+    state = _state()
+    config = replace(
+        base_config,
+        model_t0=state.model_t0,
+        model_t_end=state.model_timestamp,
+        model_time_speed=1,
+        model_timezone="UTC",
+        seed=42,
+    )
+    builder = StartupHistoryArtifactBuilder()
+    builder.add_batch(_batch())
+    manifest = build_manifest(config=config, counters=builder.counters, state=state)
+    artifact = builder.to_artifact(manifest=manifest, state=state)
+    artifact["manifest"]["gen_seed"] = 43
+
+    with pytest.raises(ValueError, match="GEN_SEED"):
+        validate_startup_history_artifact(artifact, expected_config=config)
+
+
+def test_manifest_clickhouse_stats_detect_mismatch():
+    """Сверка ClickHouse с manifest ловит расхождение контрольных чисел."""
+    from clickstream_generator.startup_history_artifact import (
+        compare_clickhouse_stats_to_manifest,
+    )
+
+    manifest = {
+        "totals": {
+            "events": 10,
+            "visits": 4,
+            "users": 3,
+            "min_event_timestamp": "2026-01-01 00:00:00.000000",
+            "max_event_timestamp": "2026-01-01 00:10:00.000000",
+        }
+    }
+    stats = {
+        "events": "9",
+        "visits": "4",
+        "users": "3",
+        "min_event_timestamp": "2026-01-01 00:00:00.000000",
+        "max_event_timestamp": "2026-01-01 00:10:00.000000",
+    }
+
+    assert compare_clickhouse_stats_to_manifest(manifest, stats) == ["events"]
+
+
+def test_raw_topic_value_can_keep_original_json_bytes(base_config):
+    """Raw value проверяется как JSON, но импортируется без пересборки строки."""
+    from clickstream_generator.startup_history_artifact import (
+        StartupHistoryArtifactBuilder,
+        build_manifest,
+        import_startup_history_artifact,
+    )
+
+    state = _state()
+    config = replace(
+        base_config,
+        model_t0=state.model_t0,
+        model_t_end=state.model_timestamp,
+        model_time_speed=1,
+        model_timezone="UTC",
+        seed=42,
+    )
+    builder = StartupHistoryArtifactBuilder()
+    builder.add_batch(_batch())
+    artifact = builder.to_artifact(
+        manifest=build_manifest(config=config, counters=builder.counters, state=state),
+        state=state,
+    )
+    raw_value = (
+        '{"event_timestamp":"2026-01-01 00:00:00.000000",'
+        '"user_domain_id":"user-1","click_id":"click-1","event_id":"event-1"}'
+    )
+    artifact["raw_topics"]["browser_events"][0]["value_json"] = raw_value
+
+    class Publisher:
+        def __init__(self):
+            self.records = None
+
+        def publish_records(self, topic, records):
+            if topic == "browser_events":
+                self.records = records
+            return len(records), 0
+
+        def flush(self):
+            return None
+
+    class CompactWriter:
+        def save(self, value):
+            self.saved = value
+
+        def flush(self):
+            return None
+
+    publisher = Publisher()
+    import_startup_history_artifact(
+        artifact,
+        publisher=publisher,
+        state_manager=CompactWriter(),
+        manifest_manager=CompactWriter(),
+        expected_config=config,
+    )
+
+    assert publisher.records[0]["value_json"] == raw_value
+
+
+def test_artifact_v1_requires_raw_topics_for_import(base_config):
+    """Artifact v1.0 без raw value не может обещать byte-for-byte импорт."""
+    from clickstream_generator.startup_history_artifact import (
+        StartupHistoryArtifactBuilder,
+        build_manifest,
+        import_startup_history_artifact,
+    )
+
+    state = _state()
+    config = replace(
+        base_config,
+        model_t0=state.model_t0,
+        model_t_end=state.model_timestamp,
+        model_time_speed=1,
+        model_timezone="UTC",
+        seed=42,
+    )
+    builder = StartupHistoryArtifactBuilder()
+    builder.add_batch(_batch())
+    artifact = builder.to_artifact(
+        manifest=build_manifest(config=config, counters=builder.counters, state=state),
+        state=state,
+    )
+    del artifact["raw_topics"]
+
+    class Publisher:
+        def publish_records(self, topic, records):
+            raise AssertionError("publish must not be called")
+
+    with pytest.raises(ValueError, match="raw_topics"):
+        import_startup_history_artifact(
+            artifact,
+            publisher=Publisher(),
+            state_manager=None,
+            manifest_manager=None,
+            expected_config=config,
+        )
+
+
+def test_import_rejects_publisher_without_raw_publish_records(base_config):
+    """Импорт не должен пересобирать dict, если publisher не умеет raw records."""
+    from clickstream_generator.startup_history_artifact import (
+        StartupHistoryArtifactBuilder,
+        build_manifest,
+        import_startup_history_artifact,
+    )
+
+    state = _state()
+    config = replace(
+        base_config,
+        model_t0=state.model_t0,
+        model_t_end=state.model_timestamp,
+        model_time_speed=1,
+        model_timezone="UTC",
+        seed=42,
+    )
+    builder = StartupHistoryArtifactBuilder()
+    builder.add_batch(_batch())
+    artifact = builder.to_artifact(
+        manifest=build_manifest(config=config, counters=builder.counters, state=state),
+        state=state,
+    )
+    artifact["raw_topics"]["browser_events"][0]["value_json"] = (
+        '{"event_timestamp":"2026-01-01 00:00:00.000000",'
+        '"user_domain_id":"user-1","click_id":"click-1","event_id":"event-1"}'
+    )
+
+    class DictPublisher:
+        def publish(self, topic, events):
+            raise AssertionError("dict publish must not be called")
+
+        def flush(self):
+            return None
+
+    with pytest.raises(TypeError, match="publish_records"):
+        import_startup_history_artifact(
+            artifact,
+            publisher=DictPublisher(),
+            state_manager=None,
+            manifest_manager=None,
+            expected_config=config,
+        )
+
+
+def test_import_rejects_dirty_kafka_topics_before_publish(base_config):
+    """Повторный импорт не должен дописывать дубли в непустые data-топики."""
+    from clickstream_generator.startup_history_artifact import (
+        StartupHistoryArtifactBuilder,
+        build_manifest,
+        import_startup_history_artifact,
+    )
+
+    state = _state()
+    config = replace(
+        base_config,
+        model_t0=state.model_t0,
+        model_t_end=state.model_timestamp,
+        model_time_speed=1,
+        model_timezone="UTC",
+        seed=42,
+    )
+    builder = StartupHistoryArtifactBuilder()
+    builder.add_batch(_batch())
+    artifact = builder.to_artifact(
+        manifest=build_manifest(config=config, counters=builder.counters, state=state),
+        state=state,
+    )
+
+    class Publisher:
+        def publish(self, topic, events):
+            raise AssertionError("publish must not be called")
+
+    class DirtyTopics:
+        def assert_data_topics_empty(self):
+            raise RuntimeError("Kafka data topics are not empty")
+
+    with pytest.raises(RuntimeError, match="not empty"):
+        import_startup_history_artifact(
+            artifact,
+            publisher=Publisher(),
+            state_manager=None,
+            manifest_manager=None,
+            expected_config=config,
+            topic_inspector=DirtyTopics(),
+        )
+
+
+def test_import_rolls_back_kafka_topics_after_partial_publish(base_config):
+    """При частичной публикации импорт откатывает Kafka-топики до повтора."""
+    from clickstream_generator.startup_history_artifact import (
+        StartupHistoryArtifactBuilder,
+        build_manifest,
+        import_startup_history_artifact,
+    )
+
+    state = _state()
+    config = replace(
+        base_config,
+        model_t0=state.model_t0,
+        model_t_end=state.model_timestamp,
+        model_time_speed=1,
+        model_timezone="UTC",
+        seed=42,
+    )
+    builder = StartupHistoryArtifactBuilder()
+    builder.add_batch(_batch())
+    artifact = builder.to_artifact(
+        manifest=build_manifest(config=config, counters=builder.counters, state=state),
+        state=state,
+    )
+
+    class PartialPublisher:
+        def __init__(self):
+            self.calls = []
+
+        def publish_records(self, topic, records):
+            self.calls.append(topic)
+            if topic == "location_events":
+                raise RuntimeError("location down")
+            return len(records), 0
+
+    class CompactWriter:
+        def save(self, value):
+            raise AssertionError("compact topics must not be written")
+
+    class Inspector:
+        def __init__(self):
+            self.snapshot = None
+            self.rollback = None
+
+        def assert_data_topics_empty(self):
+            return None
+
+        def snapshot_import_topics(self):
+            self.snapshot = {"topics": ["browser_events", "location_events"]}
+            return self.snapshot
+
+        def rollback_import_topics(self, snapshot):
+            self.rollback = snapshot
+
+    publisher = PartialPublisher()
+    inspector = Inspector()
+
+    with pytest.raises(RuntimeError, match="location down"):
+        import_startup_history_artifact(
+            artifact,
+            publisher=publisher,
+            state_manager=CompactWriter(),
+            manifest_manager=CompactWriter(),
+            expected_config=config,
+            topic_inspector=inspector,
+        )
+
+    assert publisher.calls == ["browser_events", "location_events"]
+    assert inspector.rollback == inspector.snapshot
+
+
+def test_import_replays_events_and_compact_topics(base_config):
+    """Импорт пишет события в Kafka и служебные compact-топики, не трогая ClickHouse."""
+    from clickstream_generator.startup_history_artifact import (
+        StartupHistoryArtifactBuilder,
+        build_manifest,
+        import_startup_history_artifact,
+    )
+
+    state = _state()
+    config = replace(
+        base_config,
+        model_t0=state.model_t0,
+        model_t_end=state.model_timestamp,
+        model_time_speed=1,
+        model_timezone="UTC",
+        seed=42,
+    )
+    builder = StartupHistoryArtifactBuilder()
+    builder.add_batch(_batch())
+    artifact = builder.to_artifact(
+        manifest=build_manifest(config=config, counters=builder.counters, state=state),
+        state=state,
+    )
+
+    class Publisher:
+        def __init__(self):
+            self.calls = []
+            self.flushed = False
+
+        def publish_records(self, topic, records):
+            self.calls.append((topic, records))
+            return len(records), 0
+
+        def flush(self):
+            self.flushed = True
+
+    class CompactWriter:
+        def __init__(self):
+            self.saved = None
+            self.flushed = False
+
+        def save(self, value):
+            self.saved = value
+
+        def flush(self):
+            self.flushed = True
+
+    publisher = Publisher()
+    state_manager = CompactWriter()
+    manifest_manager = CompactWriter()
+
+    result = import_startup_history_artifact(
+        artifact,
+        publisher=publisher,
+        state_manager=state_manager,
+        manifest_manager=manifest_manager,
+        expected_config=config,
+    )
+
+    assert [topic for topic, _ in publisher.calls] == [
+        "browser_events",
+        "location_events",
+        "device_events",
+        "geo_events",
+    ]
+    assert publisher.calls[0][1][0]["value_json"].encode("utf-8") == (
+        b'{"event_id": "event-1", "click_id": "click-1", '
+        b'"user_domain_id": "user-1", '
+        b'"event_timestamp": "2026-01-01 00:00:00.000000"}'
+    )
+    assert result["events"] == 4
+    assert state_manager.saved.last_batch_id == state.last_batch_id
+    assert manifest_manager.saved["state"]["last_batch_id"] == state.last_batch_id
+    assert publisher.flushed
+    assert state_manager.flushed
+    assert manifest_manager.flushed
@@ -0,0 +1,75 @@
+#!/usr/bin/env bash
+#
+# Сверяет DM-витрину ClickHouse с manifest портативной стартовой истории.
+
+set -euo pipefail
+
+COMPOSE_BIN="${COMPOSE_BIN:-docker compose}"
+CLICKHOUSE_SERVICE="${CLICKHOUSE_SERVICE:-clickhouse}"
+CLICKHOUSE_USER="${CLICKHOUSE_USER:-default}"
+CLICKHOUSE_PASSWORD="${CLICKHOUSE_PASSWORD:-123456}"
+ARTIFACT="${ARTIFACT:-/tmp/clickstream-startup-history.json}"
+
+fail() {
+  echo "Ошибка: $*" >&2
+  exit 1
+}
+
+clickhouse_datetime_literal() {
+  local value="$1"
+  value="${value/T/ }"
+  value="${value%Z}"
+  if [[ "${value}" =~ ^(.*)[+-][0-9]{2}:[0-9]{2}$ ]]; then
+    value="${BASH_REMATCH[1]}"
+  fi
+  echo "${value}"
+}
+
+[[ -s "${ARTIFACT}" ]] || fail "артефакт не найден или пуст: ${ARTIFACT}"
+
+ARTIFACT_DIR="$(dirname "${ARTIFACT}")"
+ARTIFACT_FILE="$(basename "${ARTIFACT}")"
+
+manifest_summary="$(${COMPOSE_BIN} run --rm --no-deps \
+  -v "${ARTIFACT_DIR}:/startup-artifacts:ro" \
+  generator python -m clickstream_generator.startup_history_artifact manifest-summary \
+    --artifact "/startup-artifacts/${ARTIFACT_FILE}")"
+
+IFS=$'\t' read -r expected_events expected_visits expected_users expected_min_ts expected_max_ts model_t0 model_t_end <<< "${manifest_summary}"
+
+[[ "${expected_events}" =~ ^[0-9]+$ ]] || fail "не удалось прочитать manifest из артефакта"
+
+ch_model_t0="$(clickhouse_datetime_literal "${model_t0}")"
+ch_model_t_end="$(clickhouse_datetime_literal "${model_t_end}")"
+
+actual="$(${COMPOSE_BIN} exec -T "${CLICKHOUSE_SERVICE}" clickhouse-client \
+  --user="${CLICKHOUSE_USER}" \
+  --password="${CLICKHOUSE_PASSWORD}" \
+  --query "
+WITH
+    toDateTime64('${ch_model_t0}', 6) AS t0,
+    toDateTime64('${ch_model_t_end}', 6) AS t_end
+SELECT
+    count() AS events,
+    uniqExact(click_id) AS visits,
+    uniqExact(user_domain_id) AS users,
+    toString(min(event_ts)) AS min_event_timestamp,
+    toString(max(event_ts)) AS max_event_timestamp
+FROM dm.v_events_enriched
+WHERE event_ts >= t0 AND event_ts < t_end
+FORMAT TabSeparated")"
+
+IFS=$'\t' read -r actual_events actual_visits actual_users actual_min_ts actual_max_ts <<< "${actual}"
+
+[[ "${actual_events}" == "${expected_events}" ]] || fail "events: ClickHouse=${actual_events}, manifest=${expected_events}"
+[[ "${actual_visits}" == "${expected_visits}" ]] || fail "visits: ClickHouse=${actual_visits}, manifest=${expected_visits}"
+[[ "${actual_users}" == "${expected_users}" ]] || fail "users: ClickHouse=${actual_users}, manifest=${expected_users}"
+[[ "${actual_min_ts}" == "${expected_min_ts}" ]] || fail "min_event_timestamp: ClickHouse=${actual_min_ts}, manifest=${expected_min_ts}"
+[[ "${actual_max_ts}" == "${expected_max_ts}" ]] || fail "max_event_timestamp: ClickHouse=${actual_max_ts}, manifest=${expected_max_ts}"
+
+echo "manifest_events=${expected_events}"
+echo "manifest_visits=${expected_visits}"
+echo "manifest_users=${expected_users}"
+echo "manifest_min_event_timestamp=${expected_min_ts}"
+echo "manifest_max_event_timestamp=${expected_max_ts}"
+echo "ClickHouse совпадает с manifest артефакта."
@@ -0,0 +1,70 @@
+#!/usr/bin/env bash
+#
+# Экспортирует стартовую историю в портативный JSON-артефакт.
+
+set -euo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+REPO_ROOT="$(cd "${SCRIPT_DIR}/.." && pwd)"
+
+COMPOSE_BIN="${COMPOSE_BIN:-docker compose}"
+CLEAN_START="${CLEAN_START:-1}"
+ARTIFACT="${ARTIFACT:-/tmp/clickstream-startup-history.json}"
+
+GEN_SEED="${GEN_SEED:-4242}"
+GEN_MODEL_T0="${GEN_MODEL_T0:-2026-01-01T00:00:00+00:00}"
+GEN_MODEL_T_END="${GEN_MODEL_T_END:-2026-01-01T06:00:00+00:00}"
+GEN_MODEL_TIMEZONE="${GEN_MODEL_TIMEZONE:-UTC}"
+GEN_MODEL_TIME_SPEED="${GEN_MODEL_TIME_SPEED:-1}"
+GEN_TICK_SECONDS="${GEN_TICK_SECONDS:-60}"
+GEN_LAMBDA_BASE_PER_MIN="${GEN_LAMBDA_BASE_PER_MIN:-60}"
+GEN_JITTER_PCT="${GEN_JITTER_PCT:-0}"
+GEN_MIN_EVENTS_PER_TICK="${GEN_MIN_EVENTS_PER_TICK:-1}"
+GEN_MAX_EVENTS_PER_TICK="${GEN_MAX_EVENTS_PER_TICK:-1000}"
+
+cd "${REPO_ROOT}"
+
+ARTIFACT_DIR="$(dirname "${ARTIFACT}")"
+ARTIFACT_FILE="$(basename "${ARTIFACT}")"
+mkdir -p "${ARTIFACT_DIR}"
+
+echo "=== Экспорт стартовой истории ==="
+echo "ARTIFACT=${ARTIFACT}"
+echo "GEN_SEED=${GEN_SEED}"
+echo "GEN_MODEL_T0=${GEN_MODEL_T0}"
+echo "GEN_MODEL_T_END=${GEN_MODEL_T_END}"
+echo ""
+
+if [[ "${CLEAN_START}" == "1" ]]; then
+  echo "Шаг 0: очистка Kafka/state перед повторяемым экспортом"
+  ${COMPOSE_BIN} down -v --remove-orphans
+else
+  echo "Шаг 0: CLEAN_START=0, очистка пропущена"
+fi
+
+echo "Шаг 1: запуск Kafka"
+${COMPOSE_BIN} up -d kafka
+
+echo "Шаг 2: сборка образа генератора"
+${COMPOSE_BIN} build generator
+
+echo "Шаг 3: backfill и запись артефакта"
+${COMPOSE_BIN} run --rm --no-deps \
+  -v "${ARTIFACT_DIR}:/startup-artifacts" \
+  -e GEN_RUN_MODE=backfill \
+  -e GEN_STATE_RESET=true \
+  -e GEN_STARTUP_HISTORY_ARTIFACT="/startup-artifacts/${ARTIFACT_FILE}" \
+  -e GEN_SEED="${GEN_SEED}" \
+  -e GEN_MODEL_T0="${GEN_MODEL_T0}" \
+  -e GEN_MODEL_T_END="${GEN_MODEL_T_END}" \
+  -e GEN_MODEL_TIMEZONE="${GEN_MODEL_TIMEZONE}" \
+  -e GEN_MODEL_TIME_SPEED="${GEN_MODEL_TIME_SPEED}" \
+  -e GEN_TICK_SECONDS="${GEN_TICK_SECONDS}" \
+  -e GEN_LAMBDA_BASE_PER_MIN="${GEN_LAMBDA_BASE_PER_MIN}" \
+  -e GEN_JITTER_PCT="${GEN_JITTER_PCT}" \
+  -e GEN_MIN_EVENTS_PER_TICK="${GEN_MIN_EVENTS_PER_TICK}" \
+  -e GEN_MAX_EVENTS_PER_TICK="${GEN_MAX_EVENTS_PER_TICK}" \
+  generator
+
+test -s "${ARTIFACT}"
+echo "Готово: ${ARTIFACT}"
@@ -0,0 +1,63 @@
+#!/usr/bin/env bash
+#
+# Импортирует портативный артефакт стартовой истории в Kafka.
+
+set -euo pipefail
+
+SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
+REPO_ROOT="$(cd "${SCRIPT_DIR}/.." && pwd)"
+
+COMPOSE_BIN="${COMPOSE_BIN:-docker compose}"
+ARTIFACT="${ARTIFACT:-/tmp/clickstream-startup-history.json}"
+
+GEN_SEED="${GEN_SEED:-4242}"
+GEN_MODEL_T0="${GEN_MODEL_T0:-2026-01-01T00:00:00+00:00}"
+GEN_MODEL_T_END="${GEN_MODEL_T_END:-2026-01-01T06:00:00+00:00}"
+GEN_MODEL_TIMEZONE="${GEN_MODEL_TIMEZONE:-UTC}"
+GEN_MODEL_TIME_SPEED="${GEN_MODEL_TIME_SPEED:-1}"
+GEN_TICK_SECONDS="${GEN_TICK_SECONDS:-60}"
+GEN_LAMBDA_BASE_PER_MIN="${GEN_LAMBDA_BASE_PER_MIN:-60}"
+GEN_JITTER_PCT="${GEN_JITTER_PCT:-0}"
+GEN_MIN_EVENTS_PER_TICK="${GEN_MIN_EVENTS_PER_TICK:-1}"
+GEN_MAX_EVENTS_PER_TICK="${GEN_MAX_EVENTS_PER_TICK:-1000}"
+
+cd "${REPO_ROOT}"
+
+if [[ ! -s "${ARTIFACT}" ]]; then
+  echo "Ошибка: артефакт не найден или пуст: ${ARTIFACT}" >&2
+  exit 1
+fi
+
+ARTIFACT_DIR="$(dirname "${ARTIFACT}")"
+ARTIFACT_FILE="$(basename "${ARTIFACT}")"
+
+echo "=== Импорт стартовой истории ==="
+echo "ARTIFACT=${ARTIFACT}"
+echo "GEN_SEED=${GEN_SEED}"
+echo "GEN_MODEL_T0=${GEN_MODEL_T0}"
+echo "GEN_MODEL_T_END=${GEN_MODEL_T_END}"
+echo ""
+
+echo "Шаг 1: запуск Kafka"
+${COMPOSE_BIN} up -d kafka
+
+echo "Шаг 2: сборка образа генератора"
+${COMPOSE_BIN} build generator
+
+echo "Шаг 3: воспроизведение артефакта в Kafka"
+${COMPOSE_BIN} run --rm --no-deps \
+  -v "${ARTIFACT_DIR}:/startup-artifacts:ro" \
+  -e GEN_SEED="${GEN_SEED}" \
+  -e GEN_MODEL_T0="${GEN_MODEL_T0}" \
+  -e GEN_MODEL_T_END="${GEN_MODEL_T_END}" \
+  -e GEN_MODEL_TIMEZONE="${GEN_MODEL_TIMEZONE}" \
+  -e GEN_MODEL_TIME_SPEED="${GEN_MODEL_TIME_SPEED}" \
+  -e GEN_TICK_SECONDS="${GEN_TICK_SECONDS}" \
+  -e GEN_LAMBDA_BASE_PER_MIN="${GEN_LAMBDA_BASE_PER_MIN}" \
+  -e GEN_JITTER_PCT="${GEN_JITTER_PCT}" \
+  -e GEN_MIN_EVENTS_PER_TICK="${GEN_MIN_EVENTS_PER_TICK}" \
+  -e GEN_MAX_EVENTS_PER_TICK="${GEN_MAX_EVENTS_PER_TICK}" \
+  generator python -m clickstream_generator.startup_history_artifact import \
+    --artifact "/startup-artifacts/${ARTIFACT_FILE}"
+
+echo "Готово: артефакт воспроизведён в Kafka."