主站数据分析脚本;

source/data_analy.py

@@ -1,39 +0,0 @@
-import pandas as pd
-from pathlib import Path
-from bs4 import BeautifulSoup
-
-# 1. 读取本地HTML文件
-file_path = Path(r'D:\WorkingProject\LightStackAdapter\Log\设备测试数据记录-铁塔主站\南和县牧村\Untitled-1.html')
-html_content = file_path.read_text()
-
-
-# 2. 解析HTML文件
-soup = BeautifulSoup(html_content, 'html.parser')
-
-# 3. 找到表格元素
-table = soup.find_all('table')  # 假设页面中只有一个表格，如果有多个表格，可能需要进一步筛选
-
-# 4. 提取表格数据
-data = []
-headers = []
-
-# 提取表头
-header_row = table.find('thead').find('tr')
-for header in header_row.find_all('th'):
-    headers.append(header.text.strip())
-
-# 提取数据行
-for row in table.find('tbody').find_all('tr'):
-    row_data = []
-    for cell in row.find_all(['td', 'th']):
-        row_data.append(cell.text.strip())
-    data.append(row_data)
-
-# 5. 将数据保存为DataFrame
-df = pd.DataFrame(data, columns=headers)
-
-# 6. 将DataFrame保存为CSV文件
-output_file = 'extracted_table.csv'
-df.to_csv(output_file, index=False, encoding='utf-8')
-
-print(f'表格数据已成功提取并保存到 {output_file}')

source/data_analysis.py

@@ -0,0 +1,73 @@
+import requests
+import pandas as pd
+from pathlib import Path
+from bs4 import BeautifulSoup
+
+API_URL = "https://energy-iot.chinatowercom.cn/api/device/device/historyPerformance"
+
+headers = {
+    "Accept-Encoding": "gzip, deflate, br, zstd", 
+    "Connection": "keep-alive", 
+    "Content-Length": "211", 
+    "Cookie": "HWWAFSESTIME=1732173820506; HWWAFSESID=1739685743c73769ff; dc04ed2361044be8a9355f6efb378cf2=WyIzNTI0NjE3OTgzIl0", 
+    "Host": "energy-iot.chinatowercom.cn", 
+    "Origin": "https://energy-iot.chinatowercom.cn", 
+    "Sec-Fetch-Dest": "empty", 
+    "Sec-Fetch-Mode": "cors", 
+    "Sec-Fetch-Site": "same-origin", 
+    "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/131.0.0.0 Safari/537.36 Edg/131.0.0.0", 
+    "accept": "application/json, text/plain, */*", 
+    "accept-language": "zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6", 
+    "authorization": "Bearer eyJhbGciOiJSUzI1NiIsInR5cCI6IkpXVCJ9.eyJhdWQiOlsiIl0sInVzZXJfbmFtZSI6IndlYl9tYW5hZ2V8d2FuZ2xlaTQiLCJzY29wZSI6WyJhbGwiXSwiZXhwIjoxNzMyMjc4NDA5LCJ1c2VySWQiOjI0Mjg1LCJqdGkiOiJkODE0YTZhYy05YmJmLTQ0ZjQtYWRhYi0wMzAzNjUzNmNhNWIiLCJjbGllbnRfaWQiOiJ3ZWJfbWFuYWdlIn0.VhJaDKwzjekwOCsw_jOF_jvg7sX45okFcxkLyWtbfFVGWVWANhKNhVqj5Dn0Qb3wUXH3e-w74sDN1RI9QADngMOGP_H7aTwI_nukj6VmjpFA7kEtOBwa6ouvPZQMa1qa3UWl21Ac6GoLu14T4TIf4kQAMTdaYAMFrwDAXAkqvIDmKKjZbnDFUjUIcj-J_Y-LfHCEBjtcz7Rp_wMO-PMA5wII6kbcNoSFiYb0djcFQyeBcIUSUTRPixPcTYBkS-IhNrsOePIWlpNYMHbPxZdrZkV4M65BmBn4A9MUjWYHm7iIut8WVMdCXR4Sxp9m0mJHXR_IPWES4O7aBcuMkOmjyw", 
+    "content-type": "application/json;charset=UTF-8", 
+    "sec-ch-ua": "\"Microsoft Edge\";v=\"131\", \"Chromium\";v=\"131\", \"Not_A Brand\";v=\"24\"", 
+    "sec-ch-ua-mobile": "?0", 
+    "sec-ch-ua-platform": "Windows", 
+}
+
+body = {
+  "startTimestamp": 1732032000000,
+  "endTimestamp": 1732291199000,
+  "deviceCode": "TTE0102DX2406240497",
+  "mid": "0305120001",
+  "businessType": "7",
+  "pageNum": 2,
+  "pageSize": 5,
+  "total": 0
+}
+
+# 1. 读取本地HTML文件
+file_path = Path(r'D:\WorkingProject\LightStackAdapter\Log\设备测试数据记录-铁塔主站\南和县牧村\Untitled-1.html')
+html_content = file_path.read_text()
+
+
+# 2. 解析HTML文件
+soup = BeautifulSoup(html_content, 'html.parser')
+
+# 3. 找到表格元素
+table = soup.find_all('table')  # 假设页面中只有一个表格，如果有多个表格，可能需要进一步筛选
+
+# 4. 提取表格数据
+data = []
+headers = []
+
+# 提取表头
+header_row = table.find('thead').find('tr')
+for header in header_row.find_all('th'):
+    headers.append(header.text.strip())
+
+# 提取数据行
+for row in table.find('tbody').find_all('tr'):
+    row_data = []
+    for cell in row.find_all(['td', 'th']):
+        row_data.append(cell.text.strip())
+    data.append(row_data)
+
+# 5. 将数据保存为DataFrame
+df = pd.DataFrame(data, columns=headers)
+
+# 6. 将DataFrame保存为CSV文件
+output_file = 'extracted_table.csv'
+df.to_csv(output_file, index=False, encoding='utf-8')
+
+print(f'表格数据已成功提取并保存到 {output_file}')

source/device/DeviceMQTT.py

@@ -20,7 +20,7 @@ class DeviceMQTT:
     def __init__(self, broker, port, account=None, device_id=None, callbacks=None, **kwargs):
         """ 设备初始化 """
         self.topic = None
-        self.client_id = f'python-DeviceMQTT-{random.randint(0, 1000)}'
+        self.client_id = f'python-DeviceMQTT-{random.randint(0, 10000):04d}'
         self.client = self.open_connection(broker, port, account, **kwargs)
         self._subscribe(device_id)
 
@@ -37,7 +37,7 @@ class DeviceMQTT:
                 self._frame_maker = lambda self: ''
                 self._frame_parser = lambda self, frame: ''
 
-        self._message = {}
+        self._message = []
         self.output = {
             'result': False,
             'code_func': 0x00,
@@ -80,14 +80,14 @@ class DeviceMQTT:
                 reconnect_count += 1
             print("Reconnect failed after %s attempts. Exiting...", reconnect_count)
         def on_message(client, userdata, msg):
-            self._message = msg
+            self._message.append(msg)
             print(f"Received message from `{msg.topic}` topic")
 
         client = mqtt_client.Client(client_id=self.client_id, callback_api_version=mqtt_client.CallbackAPIVersion.VERSION2)
         if account is not None:
             client.username_pw_set(account[0], account[1])
         client.on_connect = on_connect if 'func_on_connect' not in kwargs.keys() else kwargs['func_on_connect']
-        client.on_disconnect = on_disconnect if 'func_on_disconnect' not in kwargs.keys() else kwargs['func_on_disconnect']
+        # client.on_disconnect = on_disconnect if 'func_on_disconnect' not in kwargs.keys() else kwargs['func_on_disconnect']
         client.on_message = on_message if 'func_on_message' not in kwargs.keys() else kwargs['func_on_message']
         client.connect(broker, port)
         return client
@@ -99,11 +99,15 @@ class DeviceMQTT:
 
     def _subscribe(self, device_id):
         """ 订阅主题 """
+        if self.topic is not None:
+            self.client.unsubscribe(self.topic[1])
+
         topic_send = f"ctiot/download/7/0101/{device_id}/function/invoke"
         topic_read = f"ctiot/upload/7/0101/{device_id}/#"
+        self.client.subscribe(topic_read)
+
         self.device_id = device_id
         self.topic = (topic_send, topic_read)
-        self.client.subscribe(topic_read)
 
     def __send(self, msg: bytearray, topic=None) -> bool:
         """ 发布消息 """
@@ -113,7 +117,7 @@ class DeviceMQTT:
             "deviceId": self.device_id,
             "isSubDevice": 0,
             "requestType": 0,
-            "messageId": "463g3ga53j4k25o9w",
+            "messageId": f"debug-{self.client_id[18:]}",
             "timestamp": int(time.time()),
             "functionId": "168493059",
             "inputs": [
@@ -127,23 +131,24 @@ class DeviceMQTT:
         return result[0] == 1
 
     def __read(self, timeout=None) -> bytes:
-        self._message = None
+        self._message.clear()
         timeout = timeout if timeout is not None else 1
         self.client.loop_start()
         time.sleep(timeout)
         self.client.loop_stop()
 
-        if self._message:
+        for message in self._message:
+            message_data = json.loads(message.payload)
+            if message_data['messageId'] == f"debug-{self.client_id[18:]}":
                 """ 报文接收成功 """
-            message_data = json.loads(self._message.payload)
-            frame_recv = " ".join((message_data['modbus_msg'][2*i:2*(i+1)] for i in range(len(message_data['modbus_msg'])//2)))
-            frame_recv = ByteConv.trans_str_to_list(frame_recv)
-            return bytearray(frame_recv)
-        else:
+                frame = " ".join((message_data['modbus_msg'][2*i:2*(i+1)] for i in range(len(message_data['modbus_msg'])//2)))
+                frame = ByteConv.trans_str_to_list(frame)
+                return bytearray(frame)
         return b''
         
     def __read_frame(self) ->bool:
         """ 读取报文并解析帧 """
+        frame_recv = b''
         try:
             frame_recv = self.__read(timeout=self.time_out)
             self.output = self._frame_parser(frame_recv)

source/device/LaminaAdapter.py

@@ -17,6 +17,9 @@ ParamMap_LaminaAdapter = {
     # 5 - addr
     # 6 - float
     0x00: ["硬件版本识别电压",     2, 1000],
+    0x01: ["输出电容电电压", 2, 10],
+    0x02: ["参考电压",     2, 10],
+
     0x0E: ["故障字1", 1],
     0x0F: ["故障字2", 1],
     0x10: ["MPPT工作状态", 1],
@@ -34,8 +37,7 @@ ParamMap_LaminaAdapter = {
     0x1D: ["开关机状态",   1],
     0x1E: ["电池电压",     2, 10],
     0x1F: ["并机功率限值", 3, 1000],
-    0x21: ["输出电容电电压", 2, 10],
-    0x22: ["参考电压",     2, 10],
+    0x21: ["输出限功率电压阈值", 2, 10],
 
     0x50: ["启停控制命令" ,              2],
     0x51: ["故障清除命令" ,              2],