docs: clarify kafka-only production channel

DECISIONS.md

@@ -2,11 +2,11 @@
 
 > 本文件记录 lingniu-vehicle-ingest v2 的关键架构决策，后续每次重大调整追加条目（不删除旧条目）。
 
-## ADR-001  MQ 选型：Kafka
+## ADR-001  消息通道：Kafka
 - **Status**: Accepted
 - **Context**: 需要高吞吐、严格单车有序、成熟生态
 - **Decision**: 使用 Kafka，分区 key = VIN
-- **Consequences**: 下游消费者需使用消费组 + 分区内顺序消费；不使用 RocketMQ 的事务/顺序特性
+- **Consequences**: 下游消费者需使用消费组 + 分区内顺序消费；生产链路只支持 Kafka。
 
 ## ADR-002  线上消息格式：Protobuf
 - **Status**: Accepted

docs/module-data-flow.html

@@ -414,7 +414,7 @@ sequenceDiagram
   participant Dispatcher as Dispatcher
   participant Handler as Protocol Handler<br/>Mapper
   participant EventBus as DisruptorEventBus
-  participant MQ as sink-kafka<br/>Kafka Envelope
+  participant Kafka as sink-kafka<br/>Kafka Envelope
   participant Archive as sink-archive<br/>ArchiveStore
   participant History as vehicle-history-app
   participant TDengine as tdengine-history-store<br/>raw_frames + locations
@@ -430,12 +430,12 @@ sequenceDiagram
   Handler->>Handler: 协议字段映射为内部字段
   Dispatcher->>Handler: 绑定 rawArchiveKey / rawArchiveUri
   Handler->>EventBus: VehicleEvent(Realtime / Location / Alarm / Login ...)
-  EventBus->>MQ: 投递规整后的业务事件
-  MQ->>MQ: EnvelopeMapper 转 Protobuf
-  MQ->>History: Kafka event/raw topic，key=vin，单车有序
+  EventBus->>Kafka: 投递规整后的业务事件
+  Kafka->>Kafka: EnvelopeMapper 转 Protobuf
+  Kafka->>History: event/raw topic，key=vin，单车有序
   History->>TDengine: 写 raw_frames、locations 和 raw parsed JSON
   TDengine->>Consumer: 分页历史查询、原始帧追溯、位置查询
-  MQ->>Consumer: Redis 热状态、指标统计、告警工单等下游消费
+  Kafka->>Consumer: Redis 热状态、指标统计、告警工单等下游消费
       </pre>
     </div>
     <div class="callout">

docs/operations/vehicle-ingest-tdengine-verification.md

@@ -24,13 +24,12 @@ export TDENGINE_USERNAME=root
 export TDENGINE_PASSWORD='<tdengine-password>'
 export TDENGINE_MIN_IDLE=0
 export TDENGINE_MAX_POOL_SIZE=32
-export EVENT_FILE_STORE_ENABLED=false
 export TDENGINE_TELEMETRY_FIELDS_ENABLED=false
 ```
 
 `TDENGINE_MIN_IDLE=0` 用于减少冷启动时 TDengine 连接重试日志。TDengine 地址稳定后，再按生产并发调大连接池。
 
-高吞吐生产验收默认关闭 `EVENT_FILE_STORE_ENABLED` 和 `TDENGINE_TELEMETRY_FIELDS_ENABLED`，验证 TDengine `raw_frames`、位置表和分页查询闭环。RAW 帧的 `parsedJson`、`metadataJson`、`rawUri` 直接进入 TDengine，GB32960 snapshot/fields 接口优先基于 `raw_frames` 中的结构化 JSON 返回结果；接入服务写出的原始 `.bin` 只作为冷备复核材料。需要兼容旧 `/api/event-history/records` 低层记录接口或逐字段趋势宽表时，再显式开启对应开关，并单独压测写入放大。
+高吞吐生产验收默认保持 `TDENGINE_TELEMETRY_FIELDS_ENABLED=false`，验证 TDengine `raw_frames`、位置表和分页查询闭环。RAW 帧的 `parsedJson`、`metadataJson`、`rawUri` 直接进入 TDengine，GB32960 snapshot/fields 接口基于 `raw_frames` 与当前解析器即时返回结构化结果；接入服务写出的原始 `.bin` 只作为冷备复核材料。需要逐字段趋势宽表时，再显式开启 `TDENGINE_TELEMETRY_FIELDS_ENABLED=true`，并单独压测写入放大。
 
 ## 构建
 
@@ -83,7 +82,6 @@ lsof -nP -iTCP:32960 -sTCP:LISTEN
 ```bash
 HTTP_PORT=20200 \
 KAFKA_CONSUMER_ENABLED=true \
-EVENT_FILE_STORE_ENABLED=false \
 EVENT_FILE_STORE_PATH=./target/tdengine-verification/event-store \
 TDENGINE_TELEMETRY_FIELDS_ENABLED=false \
 java -jar modules/apps/vehicle-history-app/target/vehicle-history-app.jar

modules/apps/vehicle-history-app/src/test/java/com/lingniu/ingest/historyapp/PortainerComposeResourceLimitsTest.java

@@ -116,7 +116,9 @@ class PortainerComposeResourceLimitsTest {
                 .contains("TDengine `raw_frames`")
                 .doesNotContain("三个服务必须共用同一个 `SINK_ARCHIVE_PATH`")
                 .doesNotContain("再回读共享 archive")
-                .doesNotContain("读取共享 archive 中的原始 `.bin`");
+                .doesNotContain("读取共享 archive 中的原始 `.bin`")
+                .doesNotContain("EVENT_FILE_STORE_ENABLED")
+                .doesNotContain("/api/event-history/records");
         assertThat(splitRunbook)
                 .contains("TDengine `raw_frames`")
                 .doesNotContain("must share the same `SINK_ARCHIVE_PATH`")
@@ -124,6 +126,22 @@ class PortainerComposeResourceLimitsTest {
                 .doesNotContain("shared volume mounted to all three services");
     }
 
+    @Test
+    void architectureDocsNameKafkaInsteadOfGenericMq() throws IOException {
+        String decisions = Files.readString(repositoryRoot().resolve("DECISIONS.md"));
+        String dataFlow = Files.readString(repositoryRoot().resolve("docs/module-data-flow.html"));
+
+        assertThat(decisions)
+                .contains("生产链路只支持 Kafka")
+                .doesNotContain("MQ 选型")
+                .doesNotContain("RocketMQ");
+        assertThat(dataFlow)
+                .contains("participant Kafka as sink-kafka")
+                .doesNotContain("participant MQ")
+                .doesNotContain("->>MQ")
+                .doesNotContain("MQ->>");
+    }
+
     @Test
     void splitRunbookKeepsAnalyticsAsJt808MetricRuntimeOnly() throws IOException {
         String splitRunbook = Files.readString(repositoryRoot()