List<String> keysForPage = redisUtils.findKeysForPage("online-token*", 0, 10000); sysUserRepo.updateOnlineFlagF(); sysUserRepo.updateOnlineFlagF(); headersMap.put("Authorization",accessToken); headersMap.put("Authorization",accessToken); Map<String, Object> paramMap =new HashMap<String,Object>(); Map<String, Object> paramMap =new HashMap<String,Object>();
时间: 2024-04-26 13:25:15 浏览: 138
这段代码看起来是 Java 语言编写的,其中使用了 RedisUtils 类和 SysUserRepo 类进行 Redis 操作和数据库操作。在第一行代码中,通过 RedisUtils 类的 findKeysForPage 方法查询了 Redis 数据库中以 "online-token" 开头的键,并返回前10000个键的列表。接下来的两行代码中,使用 SysUserRepo 类的 updateOnlineFlagF 方法将数据库中所有用户的在线状态更新为 false。然后在第四行和第五行代码中,将 accessToken 添加到 headersMap 中。最后一行代码中,创建了一个空的 paramMap 对象。这段代码的具体作用需要结合上下文来看。
相关问题
Traceback (most recent call last): File "C:\Program Files\JetBrains\PyCharm Community Edition 2023.1.1\plugins\python-ce\helpers\pydev\pydevconsole.py", line 364, in runcode coro = func() File "<input>", line 3, in <module> File "C:\Users\13974\AppData\Local\Programs\Python\Python310\lib\site-packages\gensim\corpora\dictionary.py", line 78, in __init__ self.add_documents(documents, prune_at=prune_at) File "C:\Users\13974\AppData\Local\Programs\Python\Python310\lib\site-packages\gensim\corpora\dictionary.py", line 204, in add_documents self.doc2bow(document, allow_update=True) # ignore the result, here we only care about updating token ids File "C:\Users\13974\AppData\Local\Programs\Python\Python310\lib\site-packages\gensim\corpora\dictionary.py", line 241, in doc2bow raise TypeError("doc2bow expects an array of unicode tokens on input, not a single string") TypeError: doc2bow expects an array of unicode tokens on input, not a single string
这个错误是因为 `doc2bow` 函数期望输入一个unicode token的数组,而不是单一的字符串。你需要将输入的文档分词并转换为一个token数组,然后再传递给 `doc2bow` 函数。你可以用如下的代码完成这个操作:
```python
from gensim.corpora.dictionary import Dictionary
# 假设你的文档已经存储在一个名为 documents 的数组中
# 分词并创建一个token列表
tokens_list = [doc.split() for doc in documents]
# 创建词典
dictionary = Dictionary(tokens_list)
# 将文档转换为词袋表示
corpus = [dictionary.doc2bow(tokens) for tokens in tokens_list]
```
这样就可以将文档转换为词袋表示了。注意,这里使用的是gensim库中的 `Dictionary` 和 `doc2bow` 函数。
{"code":0,"msg":"","data":{"Data":{"ExpireAt":1686713189,"Token":"3d1b82f87924442982dac6617c4d7547"},"RequestId":"9db12749-94cb-49c0-94bf-926805a65f7d"}} {"code":0,"msg":"","data":{"DeviceList":[{"ProductId":"G0K1O9H4OX","DeviceName":"58d200111d029ff09c218a8fb7ed2111","DeviceId":"G0K1O9H4OX/58d200111d029ff09c218a8fb7ed2111","AliasName":"Qp3DPhotoFrame","UserID":"504315054565363712","RoomId":"0","FamilyId":"f_630c05b436104a88af0508cc881f8130","IconUrl":"https://main.qcloudimg.com/raw/05ca75c84bb7c1e2dbc9d762cf3af1f1.png","IconUrlGrid":"https://main.qcloudimg.com/raw/05ca75c84bb7c1e2dbc9d762cf3af1f1.png","DeviceType":0,"CreateTime":1686041240,"UpdateTime":1686041240,"Online":1}],"RequestId":"2da63815-2e66-40f3-b4fd-9f304cd1502b","Total":1}} Gson解析通用怎么写
您的问题是如何使用 Gson 解析这两个 JSON 字符串。首先需要确保您已经引入了 Gson 库。
对于第一个 JSON 字符串,可以定义如下的实体类:
```
public class TokenData {
private int code;
private String msg;
private Data data;
public static class Data {
private ExpireAt;
private String Token;
// getter and setter
}
// getter and setter
}
```
然后使用 Gson 将 JSON 字符串转换为实体类对象:
```
Gson gson = new Gson();
TokenData tokenData = gson.fromJson(jsonString, TokenData.class);
```
对于第二个 JSON 字符串,可以定义如下的实体类:
```
public class DeviceListData {
private int code;
private String msg;
private Data data;
public static class Data {
private List<Device> DeviceList;
private String RequestId;
private int Total;
// getter and setter
}
public static class Device {
private String ProductId;
private String DeviceName;
private String DeviceId;
private String AliasName;
private String UserID;
private String RoomId;
private String FamilyId;
private String IconUrl;
private String IconUrlGrid;
private int DeviceType;
private long CreateTime;
private long UpdateTime;
private int Online;
// getter and setter
}
// getter and setter
}
```
然后使用 Gson 将 JSON 字符串转换为实体类对象:
```
Gson gson = new Gson();
DeviceListData deviceListData = gson.fromJson(jsonString, DeviceListData.class);
```
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