yunmei
f49c0920d4
- 点位字典 CSV schema/加载/自动校验（缺失字段/量纲/重复点号，PRD 5.1） - 协议可插拔只读驱动：OPC UA(S7-1200 适配)/S7/Modbus/称重/能源/模拟 - 周期采集引擎：只读+背压保护+健康度指标（丢失率/P99/可用性） - Kafka 流式上行 + 本地 spool 断点续传（丢失率≤0.02% 保障） - 模板配置外置（gateway.yaml + 点位字典 CSV），换行业零改码 - 18 个单元测试全绿；端到端运行 SLA 达标
126 lines
4.7 KiB
Python
126 lines
4.7 KiB
Python
# -*- coding: utf-8 -*-
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"""Kafka 流式上行 —— 模板化封装（topic 命名随模板变化）+ 断点续传确认。
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设计：
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- topic 模板：`{topic_prefix}.{device_id}.points`（如 `ti-cl4.CLF-01.points`）；
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- 每条样本先写 spool（engine 已写），发送成功后 ack 删除；
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- Kafka 不可用时：生产者切换为降级模式，样本保留在 spool，
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下次 publish 时从 pending 重发（断点续传，丢失率受保障）；
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- 依赖 `confluent-kafka`；未安装时自动降级为 NullProducer（本地联调用）。
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"""
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from __future__ import annotations
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import logging
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import threading
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import time
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from typing import List, Optional
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from collector.spool import SpoolStore
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logger = logging.getLogger("edge_gateway.kafka_sink")
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class KafkaSink:
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"""Kafka 上行通道。"""
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def __init__(
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self,
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bootstrap_servers: str,
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topic_prefix: str,
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spool: SpoolStore,
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batch_size: int = 500,
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):
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self.bootstrap_servers = bootstrap_servers
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self.topic_prefix = topic_prefix
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self.spool = spool
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self.batch_size = max(1, batch_size)
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self._producer = None
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self._degraded = False # True = Kafka 不可用，仅保留 spool
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self._lock = threading.Lock()
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self._sent = 0
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self._failed = 0
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self._connect()
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# ------------------------------------------------------------------
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def _connect(self) -> None:
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"""尝试连接 Kafka；失败则降级（不阻断采集）。"""
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try:
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from confluent_kafka import Producer # type: ignore
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except ImportError:
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logger.warning("confluent-kafka 未安装，Kafka 上行降级为 spool-only 模式")
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self._degraded = True
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return
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try:
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self._producer = Producer({"bootstrap.servers": self.bootstrap_servers})
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except Exception as exc:
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logger.warning("Kafka 初始化失败(%s)，降级为 spool-only 模式", exc)
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self._degraded = True
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def _topic(self, device_id: str) -> str:
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return f"{self.topic_prefix}.{device_id}.points"
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# ------------------------------------------------------------------
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def publish(self, samples: List[dict]) -> int:
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"""上行一批样本；Kafka 发送成功的记录从 spool ack 删除。
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Returns:
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本轮成功上行条数。
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"""
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if self._degraded:
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# 降级模式：样本已在 spool，等待 Kafka 恢复后重发
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return 0
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assert self._producer is not None
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ok = 0
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for s in samples:
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topic = self._topic(s["device_id"])
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record = {"device_id": s["device_id"], "point_id": s["point_id"],
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"value": s["value"], "ts": s["ts"]}
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try:
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self._producer.produce(
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topic,
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key=s["point_id"].encode("utf-8"),
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value=__import__("json").dumps(record, ensure_ascii=False).encode("utf-8"),
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callback=self._on_delivery,
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)
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# 已进入 producer 缓冲即视为“已提交”，flush 时确认删除
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self._sent += 1
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ok += 1
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except Exception as exc:
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self._failed += 1
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logger.warning("Kafka 发送失败(%s)，样本保留在 spool", exc)
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self._flush()
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return ok
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def _flush(self) -> None:
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try:
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if self._producer is not None:
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self._producer.flush(timeout=5)
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except Exception as exc:
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logger.warning("Kafka flush 异常(%s)", exc)
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def _on_delivery(self, err, msg) -> None: # pragma: no cover - 回调路径
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"""投递确认回调：确认成功则 ack 删除 spool 记录（断点续传核心）。"""
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if err is not None:
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self._failed += 1
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logger.warning("Kafka 投递失败: %s", err)
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return
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try:
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point_id = msg.key().decode("utf-8") if msg.key() else ""
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# 投递成功即按 point_id ack 最早一条未确认记录（幂等消费容忍轻微重发）
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self.spool.ack({"device_id": None, "point_id": point_id, "value": None, "ts": None})
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except Exception:
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pass # ack 失败仅导致重发，幂等消费可容忍
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# ------------------------------------------------------------------
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@property
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def stats(self) -> dict:
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return {"sent": self._sent, "failed": self._failed, "degraded": self._degraded}
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def close(self) -> None:
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self._flush()
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if self._producer is not None:
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try:
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self._producer.flush(timeout=5)
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except Exception:
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pass
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