update

clientId.csv

@@ -0,0 +1,51 @@
+clientId,name,uuid_version
+035c4ea0d73b,0,uuid5
+b80c8fefa677,1,uuid5
+334b6b3112a2,2,uuid5
+c093c7f66edf,3,uuid5
+ff6c5a08b2fa,4,uuid5
+afca48e959ea,5,uuid5
+c6577abe8c0f,6,uuid5
+5bd208663478,7,uuid5
+c06243dceaed,8,uuid5
+b756dcb03600,9,uuid5
+e1e5b788f429,10,uuid5
+2342aa206cb6,11,uuid5
+3a8b9d4cb292,12,uuid5
+12f1810436a2,13,uuid5
+fc340caed629,14,uuid5
+6d5f64e6d53b,15,uuid5
+7fb92d7386ec,16,uuid5
+071beeb1b1ed,17,uuid5
+70ede393d226,18,uuid5
+38a01d76c518,19,uuid5
+289dd7fb89ab,20,uuid5
+2c6e5af15b9d,21,uuid5
+51e4ac9a92ed,22,uuid5
+b515d77a1629,23,uuid5
+1fdaa47a21ac,24,uuid5
+163990cd9f59,25,uuid5
+0c49e57f9f0c,26,uuid5
+fb5ee05b8ff0,27,uuid5
+ab827ed286c2,28,uuid5
+31c1fa498635,29,uuid5
+80798e70401c,30,uuid5
+dcf7bebe2ae8,31,uuid5
+e21fe6d4626c,32,uuid5
+7c6a3a8ecf58,33,uuid5
+c64e6ce64549,34,uuid5
+3577af1c295a,35,uuid5
+bf2f7049cd29,36,uuid5
+760d67d4fb66,37,uuid5
+33921e5421da,38,uuid5
+dea2dfca1957,39,uuid5
+4ffb1b168d69,40,uuid5
+c3eb1b7d7032,41,uuid5
+5c2b23de4bad,42,uuid5
+bf8d3ce76778,43,uuid5
+cfff2af7ed85,44,uuid5
+3fb5eb5f71f9,45,uuid5
+3d04c8a6cc47,46,uuid5
+3d930c8ba9eb,47,uuid5
+2018fde1193b,48,uuid5
+e2ca90333f0f,49,uuid5

clientId_gen.py

@@ -0,0 +1,21 @@
+import uuid
+import pandas as pd
+
+
+def generate_id(name):
+    # 生成一个UUID
+    unique_id = str(uuid.uuid5(uuid.NAMESPACE_URL, name)).replace("-", "")[:12]
+    # 将UUID转换为字符串，并添加指定的前缀
+    return unique_id
+
+
+clientId = []
+uuid_version = []
+name = []
+for i in range(50):
+    generated_id = generate_id(str(i))
+    name.append(str(i))
+    uuid_version.append("uuid5")
+    clientId.append(generated_id)
+df = pd.DataFrame({"clientId": clientId, "name": name, "uuid_version": uuid_version})
+df.to_csv("clientId.csv", index=False, sep=",")