feat: 完成 issue #3 边缘采集网关模板化封装

- 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
This commit is contained in:
2026-08-04 15:32:16 +08:00
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# -*- coding: utf-8 -*-
"""本地 spool 缓存 + 断点续传 —— 丢失率 ≤ 0.02% 的实现保障(PRD 9 章)。
机制:
1. 每次采集样本先写入本地 spool 文件(JSON Lines,按小时分片);
2. Kafka 上行确认(ack)后才删除对应记录;
3. 网关重启时扫描 spool 目录,未确认记录全部重发 —— 断点续传;
4. 上行通道抖动不丢数据,仅增加本地缓存占用(受 cache_limit_bytes 约束)。
文件命名:{shard_time:%Y%m%d%H}.spool.jsonl
"""
from __future__ import annotations
import json
import os
import threading
import time
from typing import List
from drivers.base import SampleValue
class SpoolStore:
"""本地 spool:追加写 + 按 ack 删除(断点续传)。"""
def __init__(self, spool_dir: str, cache_limit_bytes: int = 512 * 1024 * 1024):
self.spool_dir = spool_dir
self.cache_limit_bytes = cache_limit_bytes
os.makedirs(spool_dir, exist_ok=True)
self._lock = threading.Lock()
# ------------------------------------------------------------------
def _shard_path(self, ts: float) -> str:
return os.path.join(
self.spool_dir,
time.strftime("%Y%m%d%H", time.localtime(ts)) + ".spool.jsonl",
)
def append(self, device_id: str, point_id: str, value: SampleValue, ts: float) -> None:
"""写入一条待上行的样本记录。"""
record = {
"device_id": device_id,
"point_id": point_id,
"value": value,
"ts": ts,
}
with self._lock:
with open(self._shard_path(ts), "a", encoding="utf-8") as fh:
fh.write(json.dumps(record, ensure_ascii=False) + "\n")
def pending_records(self, limit: int = 10000) -> List[dict]:
"""读取所有未确认记录(断点续传:重启后调用,全部重发)。"""
records: List[dict] = []
with self._lock:
for name in sorted(os.listdir(self.spool_dir)):
if not name.endswith(".spool.jsonl"):
continue
path = os.path.join(self.spool_dir, name)
with open(path, "r", encoding="utf-8") as fh:
for line in fh:
line = line.strip()
if line:
records.append(json.loads(line))
if len(records) >= limit:
return records
return records
def ack(self, record: dict) -> None:
"""上行确认后删除对应记录。
record 中 value/ts 为 None 的字段不参与匹配(Kafka 投递回调
仅有 point_id 时,按 point_id 删除最早一条未确认记录)。
"""
with self._lock:
for name in sorted(os.listdir(self.spool_dir)):
if not name.endswith(".spool.jsonl"):
continue
path = os.path.join(self.spool_dir, name)
try:
with open(path, "r", encoding="utf-8") as fh:
lines = fh.readlines()
except OSError:
continue
kept, removed = [], False
for line in lines:
line = line.strip()
if not line:
continue
parsed = json.loads(line)
matched = all(
record.get(k) is None or parsed.get(k) == v
for k, v in record.items()
)
if not removed and matched:
removed = True # 删除第一条匹配记录
else:
kept.append(line)
if removed:
with open(path, "w", encoding="utf-8") as fh:
fh.write("\n".join(kept) + ("\n" if kept else ""))
break
def total_pending(self) -> int:
"""当前未确认记录总数(健康度上报用)。"""
return len(self.pending_records(limit=10 ** 9))