Question

我想使用Jackson库（https://github.com/FasterXML/jackson）来处理Java中的JSON文件，这些文件由JSON模式文件描述。

现在，我想验证，如果解析的JSON符合JSON模式文件，该文件由其自身解析。

Jackson（https://github.com/FasterXML/jackson-module-jsonSchema）有一个JSON模式模块。但是，在我看来，它主要关注的是从Java中创建 JSON模式文件。

在Java中验证JSON模式的好方法是什么？ - 最好使用杰克逊，但我也对其他解决方案持开放态度。

Answer 1

据我所知，杰克逊只能为特定类型生成模式，但不能进行验证。有json-schema-validator但不再维护。

Answer 2

1。）添加依赖性pom.xml： -

    <dependency>
        <groupId>com.github.fge</groupId>
        <artifactId>json-schema-validator</artifactId>
        <version>2.2.6</version>
    </dependency>

2。）NoSqlEntity是可以驻留在no-sql数据库中的实体的元数据。

使用架构文件初始化NoSqlEntity。

public static final NoSqlEntity entity = new NoSqlEntity（＆＃34; PAYOUT_ENTITY＆＃34;，＆＃34; DB _＆＃34;，＆＃34; /schema/payout_entity.json"）;

public class NoSqlEntity {
private static final Map<String, NoSqlEntity> STORE = new HashMap<>();

private final AtomicLong seq = new AtomicLong(System.currentTimeMillis());
private IdentityGenerator identityGenerator;
private String entity;
private String collectionName;
private String jsonSchema;
private String idColumn = "id";
private String database;


public NoSqlEntity(String entity, String idColumn, String collectionPrefix,      String jsonSchema) {
    this.entity = entity;
    this.idColumn = idColumn;

    this.collectionName = collectionPrefix + "_" + entity;
    this.jsonSchema = jsonSchema;
    STORE.put(entity, this);
}

public NoSqlEntity(String collectionName, String jsonSchema) {
    this.collectionName = collectionName;
    this.jsonSchema = jsonSchema;
}

public static NoSqlEntity valueOf(String entityType) {
    return STORE.get(entityType);
}

public boolean isNotNullSchema() {
    return jsonSchema != null;
}
 ...
 // Other Getter/Setter properties and methods.
}

3.）payout_entity.json验证模式文件的样本格式 -

   {
    "properties":{
          "txId":{"type":"string"}

    }
    "required" :["txId","currency"]
  }

4.。）JsonSchemaManager - 验证传入的JSON模式并缓存模式。

public class JsonSchemaManager {
private final static Logger LOGGER = LoggerFactory.getLogger(JsonSchemaManager.class);
protected final static String LS = StandardSystemProperty.LINE_SEPARATOR.value();

private final JsonValidator validator = JsonSchemaFactory.byDefault().getValidator();
private final Map<NoSqlEntity, JsonNode> schemaMap = new HashMap<>();

public JsonNode load(NoSqlEntity noSqlEntity) throws IOException {
    final JsonNode schema = JsonLoader.fromURL(this.getClass().getResource(noSqlEntity.getJsonSchema()));
    schemaMap.put(noSqlEntity, schema);
    return schema;
}

public void validateSchema(NoSqlEntity noSqlEntity, JsonNode toBeValidated, Consumer<ProcessingReport> consumer) {
    try {
        JsonNode schema = schemaMap.get(noSqlEntity);
        if (schema == null) {
            schema = load(noSqlEntity);
        }
        final ProcessingReport report = validator.validate(schema, toBeValidated);
        if (!report.isSuccess()) {
            consumer.accept(report);
        }
    } catch (IOException ex) { //NOSONAR
        throw new InvalidRequestException(ex.toString());
    } catch (ProcessingException ex) { //NOSONAR
        throw new InvalidRequestException(ex.toString());
    }
}

 public synchronized boolean synchronizedCheck(NoSqlEntity noSqlEntity, JsonNode toBeValidated, Consumer<Map<String, Object>> messageConsumers) {
    boolean flags = CommonUtils.unchecked(() -> {
        validateSchema(noSqlEntity, toBeValidated, report -> {
            report.forEach(processingMessage -> messageConsumers.accept(JsonConverter.jsonAsMapObject(processingMessage.asJson())));
        });
        return true;
    }, ex -> {
        throw new RuntimeException(ex.toString()); //NOSONAR
    });
    return flags;
}
}

5.）NoSqlRepository将元数据保存到NoSql DB中。

@Component
public class NoSqlRepository {
private static final Logger LOGGER = LoggerFactory.getLogger(NoSqlRepository.class);
private final DocumentFormat documentFormat = DocumentFormat.JSON;
private static final String SEPARATOR = ",";

private static final ThreadLocal<MyLocalVariable> THREAD_LOCAL_VARIABLES = ThreadLocal.withInitial(() -> new MyLocalVariable());


static class MyLocalVariable {
    private JsonSchemaManager schemaManager = new JsonSchemaManager();
    private BasicBSONDecoder bsonDecoder = new BasicBSONDecoder();

    public JsonSchemaManager getSchemaManager() {
        return schemaManager;
    }

    public BasicBSONDecoder getBsonDecoder() {
        return bsonDecoder;
    }
}

private void checkSchemaIfAny(NoSqlEntity noSqlEntity, JsonNode entity) {
    if (noSqlEntity.isNotNullSchema()) {
        THREAD_LOCAL_VARIABLES.get().getSchemaManager().check(noSqlEntity, entity);
    }
}

public String saveEntity(NoSqlEntity noSqlEntity, JsonNode entity){
  // Before persisting payload into noSQL, validate payload against schema.
  this.checkSchemaIfAny(noSqlEntity,entity);
}
// Other CURD methods here...
}

Answer 3

只是偶然发现了https://github.com/leadpony/justify的另一个用于json模式验证器的实现，也是最新的草稿版本。（7,6,4）

Answer 4

如here所述，jackson验证器的feture开发已停止。

然而，我发现 networknt 的 json 模式验证器现在非常活跃和有趣。您可以refer这些内容以便快速入门。

Maven 依赖

<dependency>
   <groupId>com.networknt</groupId>
   <artifactId>json-schema-validator</artifactId>
  <version>1.0.49</version>
</dependency>

代码片段 -

String jsonOrder = SampleUtil.getSampleJsonOrder();//replace or write
    System.out.println(jsonOrder);
    //Read json schema from classpaht 
    JsonSchemaFactory factory = JsonSchemaFactory.getInstance(SpecVersion.VersionFlag.V7);
    InputStream is = Thread.currentThread().getContextClassLoader()
            .getResourceAsStream("order-schema.json");
    JsonSchema schema = factory.getSchema(is);
    
    //Read json to validate 
    try {
        JsonNode node = mapper.readTree(jsonOrder);
        
        Set<ValidationMessage> errors = schema.validate(node);
        System.out.println("Errors in first json object: " + errors);
    } catch (IOException e) {
        e.printStackTrace();
    } 
    
    //Test for invalid json
    String emptyFoIdOrder = "{\"gtins\":[\"1\",\"2\",\"3\",\"4\"],\"storeId\":121,\"deliveryAddress\":\"Any street, some house - PIN 2021\"}/";

    
    try {
        JsonNode node = mapper.readTree(emptyFoIdOrder);
        Set<ValidationMessage> errors = schema.validate(node);
        System.out.println("Errors in first json object: " + errors);
    } catch (IOException e) {
        e.printStackTrace();
    }

使用的示例 Json 方案-

{
"$schema": "http://json-schema.org/draft-07/schema",
"$id": "http://example.com/example.json",
"type": "object",
"title": "The root schema",
"description": "The root schema comprises the entire JSON document.",
"default": {},
"examples": [
    {
        "foId": "9876",
        "gtins": [
            "1",
            "2",
            "3",
            "4"
        ],
        "storeId": 121,
        "deliveryAddress": "Any streeam, some house - PIN 2021"
    }
],
"required": [
    "foId",
    "gtins",
    "storeId",
    "deliveryAddress"
],
"properties": {
    "foId": {
        "$id": "#/properties/foId",
        "type": "string",
        "title": "The foId schema",
        "description": "An explanation about the purpose of this instance.",
        "default": "",
        "examples": [
            "9876"
        ]
    },
    "gtins": {
        "$id": "#/properties/gtins",
        "type": "array",
        "title": "The gtins schema",
        "description": "An explanation about the purpose of this instance.",
        "default": [],
        "examples": [
            [
                "1",
                "2"
            ]
        ],
        "additionalItems": true,
        "items": {
            "$id": "#/properties/gtins/items",
            "anyOf": [
                {
                    "$id": "#/properties/gtins/items/anyOf/0",
                    "type": "string",
                    "title": "The first anyOf schema",
                    "description": "An explanation about the purpose of this instance.",
                    "default": "",
                    "examples": [
                        "1",
                        "2"
                    ]
                }
            ]
        }
    },
    "storeId": {
        "$id": "#/properties/storeId",
        "type": "integer",
        "title": "The storeId schema",
        "description": "An explanation about the purpose of this instance.",
        "default": 0,
        "examples": [
            121
        ]
    },
    "deliveryAddress": {
        "$id": "#/properties/deliveryAddress",
        "type": "string",
        "title": "The deliveryAddress schema",
        "description": "An explanation about the purpose of this instance.",
        "default": "",
        "examples": [
            "Any streeam, some house - PIN 2021"
        ]
    }
},
"additionalProperties": true

}

根据外部模式文件验证Jackson对JSON模式的遵从性

4 个答案: