将从缓存文件中读取改成从内存数组中进行读取
This commit is contained in:
您çpengqi
@ -645,7 +645,7 @@ class CacheManager:
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plc_status = self.plc_connection_status.get(plc_name, "unknown")
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return None, "Area is read-only", plc_status, 0
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cache_file = f"{plc_name}_area_{area_name}.log"
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array_name = f"{plc_name}_{area_name}"
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# 计算实际DB偏移
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db_offset = area["offset"] + offset
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@ -673,7 +673,7 @@ class CacheManager:
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try:
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# 使用Snap7Client的read_generic方法
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result = client.read_generic(area["db_number"], db_offset, data_type, cache_file, count)
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result = client.read_generic(area["db_number"], db_offset, data_type, array_name, count)
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if result is None:
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return None, "Read failed", plc_status, 0
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@ -1,7 +1,6 @@
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import logging
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import time
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import threading
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from config_loader import load_config
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from plc_manager import PLCManager
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from cache_manager import CacheManager
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from api_server import APIServer
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@ -41,7 +40,7 @@ class GatewayApp:
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# 重新初始化PLC连接
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if self.plc_manager:
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self.logger.info("Reinitializing PLC connections...")
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self.plc_manager = PLCManager(config["plcs"])
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self.plc_manager = PLCManager(config["plcs"], self.reader_threads)
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self.plc_manager.connect_all()
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# 重新初始化缓存
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@ -92,7 +91,7 @@ class GatewayApp:
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plc_name=plc_config["name"],
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area_config=area_config,
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update_interval=0.03,
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output_file_prefix="area_"
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max_array_size=10000
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)
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read_thread.start()
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# 存入线程列表，便于后续停止
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@ -10,12 +10,9 @@
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import threading
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import time
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import logging
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from datetime import datetime
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from snap7.util import get_real, get_int, get_bool, get_word, get_dint # 导入snap7解析工具
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class PLCDataReaderThread(threading.Thread):
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def __init__(self, plc_client, plc_name, area_config, update_interval=0.03, output_file_prefix="area_"):
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def __init__(self, plc_client, plc_name, area_config, update_interval=0.03, max_array_size=10000):
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"""
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初始化PLC数据读取线程（配置驱动，支持多区域）
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参数:
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@ -23,13 +20,13 @@ class PLCDataReaderThread(threading.Thread):
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area_config: 单个区域的配置（来自config.json的plcs[].areas）
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示例：{"name":"DB100_Read", "type":"read", "db_number":100, "offset":0, "size":6000, "structure":[...]}
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update_interval: 读取间隔（秒），默认30ms
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output_file_prefix: 输出文件前缀，最终文件名为“前缀+区域名.log”
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max_array_size: 自定义数组的最大存储条数，超过后自动删除最早数据，默认1000条
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"""
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# 线程名包含区域名，便于日志区分（如"PLCDataReader_DB100_Read"）
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thread_name = f"{plc_name}_Reader_{area_config['name']}"
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thread_name = f"{plc_name}_{area_config['name']}"
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super().__init__(name=thread_name, daemon=True)
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# 1. 核心依赖（PLC客户端+区域配置）
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# 核心依赖（PLC客户端+区域配置）
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self.plc_client = plc_client
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self.plc_name = plc_name
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self.area_config = area_config # 动态区域配置，不再硬编码DB100
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@ -39,16 +36,21 @@ class PLCDataReaderThread(threading.Thread):
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self.size = area_config["size"]
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self.area_type = area_config["type"] # 区分read/read_write/write
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# 2. 线程与输出配置
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self.update_interval = update_interval
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self.output_file = f"{self.plc_name}_{output_file_prefix}{self.area_name}.log" # 输出文件名}{output_file_prefix}DB{self.db_number}.log" # 每个区域独立文件
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# 自定义内存数据配置
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self.custom_array_name = f"{self.plc_name}_{self.area_name}"
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self.max_array_size = max_array_size
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# 动态创建自定义名称的内存数组
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setattr(self, self.custom_array_name, [])
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# 3. 数据缓存（新增结构化数据存储）
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# 线程与输出配置
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self.update_interval = update_interval
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# 数据缓存（新增结构化数据存储）
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self.running = False
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self._latest_data = None # 格式：(timestamp, data_info, raw_bytes, parsed_data)
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self._latest_byte_data = None # 格式：(timestamp, data_info, raw_bytes, parsed_data)
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self._data_lock = threading.Lock() # 线程安全锁
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# 4. 日志
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# 日志
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self.logger = logging.getLogger(f"PLCDataReader.{self.area_name}")
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def start(self):
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@ -58,10 +60,16 @@ class PLCDataReaderThread(threading.Thread):
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self.logger.warning(f"跳过启动：区域类型为{self.area_type}（无需循环读取）")
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return
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# 验证自定义数组是否创建成功
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if not hasattr(self, self.custom_array_name):
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self.logger.error(f"❌ 自定义数组创建失败！数组名：{self.custom_array_name}")
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return
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self.running = True
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super().start()
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self.logger.info(f"✅ 线程启动成功（DB{self.db_number}，{self.area_type}）")
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self.logger.info(f"🔧 配置：间隔{self.update_interval * 1000}ms，读取{self.size}字节，输出{self.output_file}")
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self.logger.info(f"🔧 内存配置：自定义数组名={self.custom_array_name}，最大存储条数={self.max_array_size}")
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self.logger.info(f"🔧 配置：间隔{self.update_interval * 1000}ms，读取{self.size}字节，存储到{self.custom_array_name}数组中")
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def stop(self):
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"""停止线程（优雅清理）"""
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@ -70,9 +78,12 @@ class PLCDataReaderThread(threading.Thread):
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self.join(timeout=2.0)
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if self.is_alive():
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self.logger.warning("⚠️ 线程未正常退出，强制终止")
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# 停止时输出数组统计信息
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custom_array = getattr(self, self.custom_array_name, [])
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self.logger.info(f"🛑 线程已停止（DB{self.db_number}）")
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self.logger.info(f"📊 内存数组统计：数组名={self.custom_array_name}，总存储条数={len(custom_array)}")
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def get_latest_data(self):
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def get_latest_byte_data(self):
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"""
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线程安全获取最新数据（返回原始字节+解析后的结构化数据）
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返回示例：
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@ -84,20 +95,34 @@ class PLCDataReaderThread(threading.Thread):
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}
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"""
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with self._data_lock:
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if self._latest_data is None:
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self.logger.debug("⚠️ 无最新数据缓存")
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if self._latest_byte_data is None:
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self.logger.debug(f"⚠️ 自定义数组{self.custom_array_name}无最新数据")
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return None
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# 返回字节数据的副本，避免外部修改
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return self._latest_byte_data.copy()
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timestamp, data_info, raw_bytes, parsed_data = self._latest_data
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return {
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"timestamp": timestamp,
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"data_info": data_info.copy(),
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"raw_bytes": raw_bytes.copy()
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}
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def get_custom_array(self, max_records=None):
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"""
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线程安全获取自定义数组数据
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参数:
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max_records: 可选，指定返回的最大记录数
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返回:
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字节数据列表
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"""
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with self._data_lock:
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custom_array = getattr(self, self.custom_array_name, [])
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return custom_array[-1:] if custom_array else [] # 返回所有记录的副本
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def clear_custom_array(self):
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"""清空自定义数组"""
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with self._data_lock:
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custom_array = getattr(self, self.custom_array_name, [])
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custom_array.clear()
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self.logger.info(f"🧹 已清空自定义数组：{self.custom_array_name}")
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def run(self):
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"""线程主循环：读PLC→解析数据→更新缓存→写文件"""
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self.logger.debug(f"📌 主循环启动（DB{self.db_number}）")
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self.logger.debug(f"📌 主循环启动（DB{self.db_number}，数组名：{self.custom_array_name}）")
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while self.running:
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cycle_start = time.time()
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try:
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@ -111,24 +136,18 @@ class PLCDataReaderThread(threading.Thread):
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# 步骤2：处理读取结果（缓存+解析+写文件）
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if cache_success and self.plc_client.data_cache is not None:
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raw_data = self.plc_client.data_cache # 原始字节
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data_len = len(raw_data)
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timestamp = datetime.now().strftime("%Y-%m-%d %H:%M:%S.%f")[:-3]
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# 构造数据基本信息
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data_info = {
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"area_name": self.area_name,
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"db_number": self.db_number,
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"offset_range": f"0-{self.size - 1}",
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"actual_length": data_len,
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"area_type": self.area_type
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}
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# 步骤3：线程安全更新内存缓存
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with self._data_lock:
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self._latest_data = (timestamp, data_info, raw_data.copy())
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self._latest_byte_data = raw_data
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# 步骤4：写入文件（含原始字节+解析后数据）
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self._write_latest_data_to_file(timestamp, data_info, raw_data)
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# 获取自定义数组并添加新的字节数据
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custom_array = getattr(self, self.custom_array_name)
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custom_array.clear() # 清空旧数据
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custom_array.append(raw_data)
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# 日志显示当前数组状态（仅1条）
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self.logger.debug(f"✅ 已更新最新PLC记录，数组{self.custom_array_name}当前记录数：1")
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else:
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self.logger.warning(f"⚠️ 数据读取失败（DB{self.db_number}），跳过本次更新")
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@ -142,24 +161,3 @@ class PLCDataReaderThread(threading.Thread):
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except Exception as e:
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self.logger.error(f"🔴 循环读取出错: {str(e)}", exc_info=True)
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time.sleep(self.update_interval)
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def _write_latest_data_to_file(self, timestamp, data_info, raw_data):
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"""
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写入文件：含原始字节+解析后的结构化数据（每个区域独立文件）
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"""
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try:
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# 处理原始字节为列表（便于查看）
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data_list = list(raw_data) # 只显示前50字节，避免文件过大
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data_str = f"{data_list} (共{len(raw_data)}字节)"
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# 覆盖写入文件
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with open(self.output_file, "w", encoding="utf-8") as f:
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f.write(f"[{timestamp}] 📝 {self.area_name} 最新数据\n")
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f.write(
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f" - 区域信息：DB{data_info['db_number']}（{data_info['offset_range']}），类型{data_info['area_type']}\n")
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f.write(f" - 原始字节数据：{data_str}\n")
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f.write("=" * 120 + "\n")
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self.logger.debug(f"📤 最新DB{self.db_number}数据已覆盖写入文件：{self.output_file}")
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except Exception as e:
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self.logger.error(f"🔴 写入DB{self.db_number}数据到文件出错: {str(e)}", exc_info=True)
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@ -1,10 +1,11 @@
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from snap7_client import Snap7Client
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import logging
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class PLCManager:
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"""PLC连接管理器，管理多个PLC连接"""
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def __init__(self, plcs_config):
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def __init__(self, plcs_config, reader_threads):
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"""
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初始化PLC管理器
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@ -17,7 +18,8 @@ class PLCManager:
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self.plcs[name] = Snap7Client(
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plc_config["ip"],
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plc_config["rack"],
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plc_config["slot"]
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plc_config["slot"],
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reader_threads
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)
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self.logger = logging.getLogger("PLCManager")
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@ -1,16 +1,14 @@
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from copyreg import dispatch_table
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import snap7
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import logging
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from threading import Lock
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import time
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from snap7.util import *
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import ast
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class Snap7Client:
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"""Snap7客户端，处理与PLC的通信"""
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def __init__(self, ip, rack, slot, max_retries=5, retry_base_delay=1):
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def __init__(self, ip, rack, slot, reader_threads, max_retries=5, retry_base_delay=1):
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"""
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初始化Snap7客户端
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@ -31,6 +29,7 @@ class Snap7Client:
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self.retry_base_delay = retry_base_delay
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self.last_connect_attempt = 0
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self.retry_count = 0
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self.reader_threads = reader_threads
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self.logger = logging.getLogger(f"Snap7Client[{ip}]")
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def is_valid_connection(self):
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@ -392,71 +391,74 @@ class Snap7Client:
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self.logger.error(f"Error caching data: {e}")
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return False
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def read_db_from_file_cache(self, db_number, offset, required_size, cache_file):
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def read_db_from_memory_cache(self, db_number, offset, required_size, array_name, reader_threads):
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"""
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通用文件缓存读取：从指定文件读取DB块缓存，返回需要的字节片段
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参数:
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db_number: DB块编号
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offset: 需要读取的起始偏移（字节）
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required_size: 需要读取的字节数
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cache_file: 缓存文件名（动态生成）
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通用内存数组读取：从PLCDataReaderThread实例的内存数组中，提取DB块的目标字节片段
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参数说明：
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- 已删除无用的 cache_file 参数（原文件缓存逻辑已替换为内存数组）
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返回值:
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bytearray | None: 所需的字节片段，失败返回None
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"""
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try:
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# 1. 读取缓存文件内容
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with open(cache_file, "r", encoding="utf-8") as f:
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content = f.read()
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# 2. 定位"原始字节数据："行（匹配DB100ReaderThread的文件格式）
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db_match = False
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data_line = None
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for line in content.splitlines():
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if f"DB{db_number}" in line and "区域信息" in line:
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db_match = True
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if db_match and "原始字节数据：" in line:
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data_line = line.strip()
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# -------------------------- 关键修改1：正确遍历元组并匹配线程 --------------------------
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target_thread = None
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# 遍历 reader_threads：每个元素是 (area_name_str, PLCDataReaderThread实例) 的元组
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for area_name_str, thread_instance in reader_threads:
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# 匹配条件：线程实例的 custom_array_name == 传入的 array_name（数组名在_thread实例上）
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if thread_instance.custom_array_name == array_name:
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target_thread = thread_instance # 拿到真正的线程实例
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break
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if not db_match or not data_line:
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self.logger.error(f"文件缓存中无DB{db_number}的有效数据（文件：{cache_file}）")
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# -------------------------- 关键修改2：校验线程实例是否找到 --------------------------
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if target_thread is None:
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# 若未找到，打印所有已存在的线程数组名，便于调试
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existing_arrays = [t.custom_array_name for _, t in reader_threads]
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self.logger.error(
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f"❌ 未找到数组{array_name}对应的线程实例！"
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f"已存在的数组名：{existing_arrays}，请检查数组名是否拼写正确"
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)
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return None
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# 3. 提取字节列表字符串（如"[16,0,0,...]"）
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list_start = data_line.find("[")
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list_end = data_line.find("]") + 1 # 包含闭合括号
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if list_start == -1 or list_end == 0:
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self.logger.error(f"❌ DB{db_number}缓存文件格式错误：未找到有效字节列表")
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return None
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byte_list_str = data_line[list_start:list_end]
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# 4. 解析字符串为整数列表，再转成bytearray
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byte_list = ast.literal_eval(byte_list_str)
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# 验证列表有效性（必须是0-255的整数）
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if not isinstance(byte_list, list) or not all(
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isinstance(b, int) and 0 <= b <= 255 for b in byte_list
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):
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self.logger.error(f"❌ DB{db_number}缓存文件数据无效：字节列表包含非整数或超出范围值")
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# -------------------------- 后续逻辑不变（但需确认线程实例有效） --------------------------
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# 校验线程实例上是否存在数组（array_name 就是线程的 custom_array_name）
|
||||
if not hasattr(target_thread, array_name):
|
||||
self.logger.error(f"❌ 线程实例{target_thread.name}上不存在数组{array_name}（线程初始化失败）")
|
||||
return None
|
||||
|
||||
# 5. 验证数据长度（至少满足DB100的6000字节）
|
||||
if len(byte_list) < required_size:
|
||||
self.logger.warning(f"⚠️ DB{db_number}缓存文件数据不完整（仅{len(byte_list)}字节，期望{required_size}字节）")
|
||||
self.logger.debug(f"✅ 从缓存文件读取DB{db_number}数据（{len(byte_list)}字节）")
|
||||
# 线程安全获取数组数据（调用线程自带方法，内部已加锁）
|
||||
custom_array = target_thread.get_custom_array()
|
||||
if not custom_array:
|
||||
self.logger.warning(f"⚠️ 数组{array_name}为空，无可用数据")
|
||||
return None
|
||||
|
||||
return bytearray(byte_list)
|
||||
if not isinstance(custom_array[0], bytearray):
|
||||
self.logger.error(
|
||||
f"❌ 数组{array_name}的元素类型错误："
|
||||
f"期望bytearray，实际{type(custom_array).__name__}"
|
||||
)
|
||||
return None
|
||||
|
||||
# 验证数据长度是否满足需求
|
||||
total_byte_len = len(custom_array[0])
|
||||
if total_byte_len < offset + required_size:
|
||||
self.logger.warning(
|
||||
f"⚠️ DB{db_number}内存数据不完整："
|
||||
f"数组{array_name}最新数据共{total_byte_len}字节，"
|
||||
f"需从偏移{offset}读取{required_size}字节（需{offset + required_size}字节）"
|
||||
)
|
||||
available_size = total_byte_len - offset
|
||||
if available_size <= 0:
|
||||
self.logger.error(f"❌ 偏移{offset}超出数据范围（最大偏移：{total_byte_len - 1}）")
|
||||
return None
|
||||
required_size = available_size
|
||||
|
||||
return custom_array[0]
|
||||
|
||||
except FileNotFoundError:
|
||||
self.logger.warning(f"⚠️ DB{db_number}缓存文件不存在：{cache_file}")
|
||||
return None
|
||||
except ast.literal_eval.Error as e:
|
||||
self.logger.error(f"❌ 解析DB{db_number}字节列表失败: {e}")
|
||||
return None
|
||||
except Exception as e:
|
||||
self.logger.error(f"❌ 读取DB{db_number}缓存文件异常: {e}", exc_info=True)
|
||||
self.logger.error(f"🔴 读取内存数组{array_name}异常：{str(e)}", exc_info=True)
|
||||
return None
|
||||
|
||||
def read_generic(self, db_number, offset, data_type, cache_file, count=1):
|
||||
def read_generic(self, db_number, offset, data_type, array_name, count=1):
|
||||
"""
|
||||
通用读取接口（改进）：
|
||||
- DB100：优先从缓存文件读取 → 再内存缓存 → 最后PLC
|
||||
@ -465,11 +467,11 @@ class Snap7Client:
|
||||
# 1、处理DB数据块：优先从缓存文件读取
|
||||
raw_data = None
|
||||
if raw_data is None:
|
||||
cache_file = cache_file
|
||||
raw_data = self.read_db_from_file_cache(db_number, offset, count, cache_file)
|
||||
array_name = array_name
|
||||
raw_data = self.read_db_from_memory_cache(db_number, offset, count, array_name, self.reader_threads)
|
||||
if raw_data is not None:
|
||||
print(f"从缓存文件中读取DB{db_number}的数据")
|
||||
self.logger.debug(f"从文件缓存读取DB{db_number}（文件：{cache_file}）")
|
||||
print(f"从内存数组中读取DB{db_number}的数据")
|
||||
self.logger.debug(f"从内存数组中读取DB{db_number}（数组：{array_name}）")
|
||||
|
||||
try:
|
||||
if data_type == 'bool':
|
||||
@ -481,17 +483,14 @@ class Snap7Client:
|
||||
end_bit = offset + count - 1
|
||||
end_byte = end_bit // 8
|
||||
# 检查数据长度是否足够
|
||||
if end_byte >= len(raw_data):
|
||||
self.logger.warning(
|
||||
f"⚠️ DB{db_number}缓存文件数据不足：需要字节{end_byte}，实际{len(raw_data)}字节")
|
||||
else:
|
||||
result = [] # 用于存储解析出的bool值
|
||||
for i in range(count):
|
||||
current_global_bit = offset + i
|
||||
current_byte = current_global_bit // 8
|
||||
current_bit = current_global_bit % 8
|
||||
result.append(bool(raw_data[current_byte] & (1 << current_bit)))
|
||||
return result[0] if count == 1 else result
|
||||
|
||||
result = [] # 用于存储解析出的bool值
|
||||
for i in range(count):
|
||||
current_global_bit = offset + i
|
||||
current_byte = current_global_bit // 8
|
||||
current_bit = current_global_bit % 8
|
||||
result.append(bool(raw_data[current_byte] & (1 << current_bit)))
|
||||
return result[0] if count == 1 else result
|
||||
|
||||
elif data_type == 'byte':
|
||||
if offset + count > len(raw_data):
|
||||
@ -502,18 +501,18 @@ class Snap7Client:
|
||||
return [b for b in data] if count > 1 else data[0]
|
||||
|
||||
elif data_type in ['int', 'word']:
|
||||
byte_per_data = 2
|
||||
total_bytes = byte_per_data * count
|
||||
if offset + total_bytes > len(raw_data):
|
||||
self.logger.warning(
|
||||
f"⚠️ DB100缓存文件数据不足：需要偏移{offset}+{total_bytes}字节，实际{len(raw_data)}字节")
|
||||
else:
|
||||
result = []
|
||||
for i in range(count):
|
||||
start = offset + i * byte_per_data
|
||||
slice_data = raw_data[start:start + byte_per_data]
|
||||
result.append(get_int(slice_data, 0) if data_type == 'int' else get_word(slice_data, 0))
|
||||
return result[0] if count == 1 else result
|
||||
total_bytes = 2 * count
|
||||
data = self.read_db(db_number, offset, total_bytes)
|
||||
if data is None:
|
||||
return None
|
||||
|
||||
result = []
|
||||
for i in range(count):
|
||||
if data_type == 'int':
|
||||
result.append(get_int(data, i * 2))
|
||||
else: # word
|
||||
result.append(get_word(data, i * 2))
|
||||
return result[0] if count == 1 else result
|
||||
|
||||
elif data_type in ['dint', 'dword', 'real']:
|
||||
byte_per_data = 4
|
||||
|
||||
Reference in New Issue
Block a user