客房数据库使用转换器保存和检索对象

如何解决客房数据库使用转换器保存和检索对象

当我尝试使用Rooms数据库保存对象时，数据插入成功。在检索数据时，对象内部的值（作为对象）被检索为数组。将数组转换回对象不起作用。正确检索了根对象中的其他字符串和整数值。

保存的对象：

[[F @ 6c173ab

检索到的对象

[[0.0066505815， 0.00605235、0.0044598486，-0.011793762、0.0069282507，-0.059397057，-0.058320906、0.17123938，-0.019021105，-0.1037456、0.0018062548，-0.005069571、0.0035884415、0.0017127255、0.004238736，-0.058450952，-0.007079399，-0.010851874、0.01 0.26496187，-0.056337364、0.054294083、0.0023271786、0.19248551，-0.031670928、0.004658082，-0.042408537，-0.08871324，-0.13611381、0.0048175915、0.060110737，-0.05661096，-0.004599247、0.02567487，-0.14492176、0.41225138、0.060969584， 0.007605861，-0.004265492，-0.0011223844，0.006605887，-0.008077469，0.0015253898，-0.10189122，0.050602783，0.0058309403，0.057144053，0.07865115，-0.0022470118，0.005851626，-0.001395651，-0.061264377，-0.007627005，-0.1531251，-8.3948084 ，-0.002113619，-0.0018161217，-0.10022795，0.12291724，0.07126657，1.6772193E-4，0.022098381，0.0026675903，0.03227209，0.011782837，0.006000733，0.009471676，0.036371186，-0.23033214，-0.002258695，0.039965842，-0.0084573 8，0.0025282402，6.5926113E-4，0.03005817，0.032968543，0.003514709，0.03701494，-0.0047574765，0.0067672534，0.08913908，0.0014652971，0.009258712，-0.03202012，-0.024361957，-0.10464151，-0.033407286，-0.0027610548，-0.00944446，-0.0024300436 0.0232218，0.0094572455，0.018079767，0.23599343，-0.0063236416，0.034273528，5.9618044E-4，0.010737699，0.008162582，0.0025107688，0.007046912，0.0026148462，-6.691977E-4，0.0018003252，-0.017509019，0.0071865367，0.17709938，-0.006027926844， 0.0035891477，0.090311974，-0.005678741，0.002527207，-0.043642007，0.013362809，-0.10237697，0.004665849，0.029806657，8.510543E-4，0.008034529，0.0037261287，0.0016963077，-0.0065462743，0.0014083247，-0.09163139，-7.1395264E-4，0.00344224 -4，-0.050950024、0.052165035，-6.5167714E-4、0.09660987、0.059556033、0.0011484445、0.0048205433、0.016215535，-0.0074894307，-4.8624526E-4、0.09030299，-0.031675506、0.035420638、0.00863125、0.0062305178，-2.9943243E-4， 0.017759 249，-0.007217323，-0.17156895，-0.08075601、0.013375583，-0.0057125236、0.0019819727、0.0045942706，-9.6630485E-4，-0.0056799883，-0.001163379、0.026658272、0.0045382543、0.0053815856，-0.0019246427，-0.0020221453，-0.0036204413，-0.016 -0.07884872，0.0012176841，-0.0077565406，0.08828778，-0.18202521，0.0031140386，-0.013568612，0.03727499，0.0029328368，-0.009444142，0.061891776，-0.0021317177，7.041842E-5，-0.06919885，-0.022822084，-0.009733031，0.003888120.15,372 -0.0267819，-0.048720658、0.029161548，-0.16049597、0.023316571、0.0020684062]]

这是我使用的类型转换器

@TypeConverter
public static String fromrecognition(SimilarityClassifier.Recognition recognition) {
    if (recognition == null) {
        return (null);
    }
    Gson gson = new Gson();
    Type type = new Typetoken<SimilarityClassifier.Recognition>() {
    }.getType();
    String json = gson.toJson(recognition,type);
    return json;
}

@TypeConverter
public static SimilarityClassifier.Recognition toRecognition(String recognitionString) {
    if (recognitionString == null) {
        return (null);
    }
    Gson gson = new Gson();
    Type type = new Typetoken<SimilarityClassifier.Recognition>() {
    }.getType();
    SimilarityClassifier.Recognition recognition = gson.fromJson(recognitionString,type);
    return recognition;
}

数据库中的

列为

@ColumnInfo(name = "record")
@TypeConverters(Converters.class)
private SimilarityClassifier.Recognition record;




public SimilarityClassifier.Recognition getRecord() {
    return record;
}

public void setRecord(SimilarityClassifier.Recognition record) {
    this.record = record;
}

similarityclassifier.Recognition在下面给出

公共类识别{

private final String id;
private final String title;
private final Float distance;
private Object extra;

private RectF location;
private Integer color;
private Bitmap crop;

public Recognition(
        final String id,final String title,final Float distance,final RectF location) {
    this.id = id;
    this.title = title;
    this.distance = distance;
    this.location = location;
    this.color = null;
    this.extra = null;
    this.crop = null;
}

public String getId() {
    return id;
}

public String getTitle() {
    return title;
}

public Float getdistance() {
    return distance;
}

public RectF getLocation() {
    return new RectF(location);
}

public Bitmap getCrop() {
    return this.crop;
}

public Integer getColor() {
    return this.color;
}

public Object getExtra() {
    return this.extra;
}


public void setExtra(Object extra) {
    this.extra = extra;
}

public void setColor(Integer color) {
    this.color = color;
}

public void setLocation(RectF location) {
    this.location = location;
}

public void setCrop(Bitmap crop) {
    this.crop = crop;
}


@Override
public String toString() {
    String resultString = "";
    if (id != null) {
        resultString += "[" + id + "] ";
    }

    if (title != null) {
        resultString += title + " ";
    }

    if (distance != null) {
        resultString += String.format("(%.1f%%) ",distance * 100.0f);
    }

    if (location != null) {
        resultString += location + " ";
    }

    return resultString.trim();
}

} 如果其他人遇到此问题，请帮助