我如何使用jackson像下面的示例那样创建json数组。
我尝试使用ObjectMapper,但这似乎不正确。
try (DirectoryStream<Path> ds = Files.newDirectoryStream(path)) { for (Path file : ds) { System.out.println("name:"+file.getFileName()+ "\n"+ "mime:"+Files.probeContentType(file)+ "\n"+ "locked:"+!Files.isWritable(file)); } } catch (IOException e) { System.err.println(e); }
最终,我将制作一个具有以下值的json。
* - (int) size file size in b. required * - (int) ts file modification time in unix time. required * - (string) mime mimetype. required for folders, others - optionally * - (bool) read read permissions. required * - (bool) write write permissions. required * - (bool) locked is object locked. optionally * - (bool) hidden is object hidden. optionally * - (string) alias for symlinks - link target path relative to root path. optionally * - (string) target for symlinks - link target path. optionally
这是我提供的一个示例json。
"files": [ { "mime": "directory", "ts": 1334071677, "read": 1, "write": 0, "size": 0, "hash": "l1_Lw", "volumeid": "l1_", "name": "Demo", "locked": 1, "dirs": 1 }, { "mime": "directory", "ts": 1334071677, "read": 1, "write": 0, "size": 0, "hash": "l1_Lw", "volumeid": "l1_", "name": "Demo", "locked": 1, "dirs": 1 }, { "mime": "directory", "ts": 1340114567, "read": 0, "write": 0, "size": 0, "hash": "l1_QmFja3Vw", "name": "Backup", "phash": "l1_Lw", "locked": 1 }, { "mime": "directory", "ts": 1310252178, "read": 1, "write": 0, "size": 0, "hash": "l1_SW1hZ2Vz", "name": "Images", "phash": "l1_Lw", "locked": 1 }, { "mime": "application\/x-genesis-rom", "ts": 1310347586, "read": 1, "write": 0, "size": 3683, "hash": "l1_UkVBRE1FLm1k", "name": "README.md", "phash": "l1_Lw", "locked": 1 } ]
编辑1
Map<String, Object> filesMap = new HashMap<>(); List<Object> files = new ArrayList<Object>(); System.out.println("\nNo filter applied:"); try (DirectoryStream<Path> ds = Files.newDirectoryStream(path)) { for (Path file : ds) { Map<String, Object> fileInfo = new HashMap<>(); fileInfo.put("name", file.getFileName().toString()); // Prints Files in Director // Files.getAttribute(file,"size"); System.out.println("name:" + file.getFileName().toString() + "\n" + "mime:" + Files.probeContentType(file) + "\n" + "locked:" + !Files.isWritable(file)); ObjectMapper mapper = new ObjectMapper(); String json = mapper.writeValueAsString(fileInfo); files.add(json); } } catch (IOException e) { System.err.println(e); } files.toArray(); filesMap.put("files", files); ObjectMapper mapper = new ObjectMapper(); String jsonString; try { jsonString = mapper.writeValueAsString(filesMap); } catch (IOException e) { jsonString = "fail"; //To change body of catch statement use File | Settings | File Templates. }
放出以下更接近的json,但我不知道为什么{}之前和之后的多余引号。
{"files":["{\"name\":\"32C92124-EFCF-42C1-AFD2-8B741AE6854B.jpg\"}","{\"name\":\"58D5B83F-4065-4D6E-92BE-8181D99CB6CB.jpg\"}","{\"name\":\"7B1464A0-FBA1-429E-8A39-3DE5B539FBF8.jpg\"}","{\"name\":\"888159CF-45BE-475F-8C6A-64B3E1D97278.jpg\"}"]}
最终答案
Map<String, Object> filesMap = new HashMap<>(); List<Object> files = new ArrayList<Object>(); System.out.println("\nNo filter applied:"); try (DirectoryStream<Path> ds = Files.newDirectoryStream(path)) { for (Path file : ds) { Map<String, Object> fileInfo = new HashMap<>(); fileInfo.put("name", file.getFileName().toString()); System.out.println("name:" + file.getFileName().toString() + "\n" + "mime:" + Files.probeContentType(file) + "\n" + "locked:" + !Files.isWritable(file)); files.add(fileInfo); } } catch (IOException e) { System.err.println(e); } files.toArray(); filesMap.put("files", files); ObjectMapper mapper = new ObjectMapper(); String jsonString; try { jsonString = mapper.writeValueAsString(filesMap); } catch (IOException e) { jsonString = "fail"; }
您需要一个JsonNodeFactory:
JsonNodeFactory
final JsonNodeFactory factory = JsonNodeFactory.instance;
此类具有创建ArrayNodes,ObjectNodes,IntNodes,DecimalNodes,TextNodes和诸如此类的方法。ArrayNodes和ObjectNodes具有便捷的变异方法,可以直接添加大多数JSON原语(非容器)值,而不必经过工厂(当然,在内部,它们引用此工厂,这就是原因)。
ArrayNode
ObjectNode
IntNode
DecimalNode
TextNode
关于ObjectMapper,请注意,它既是串行器(ObjectWriter),也是解串器(ObjectReader)。
ObjectMapper
ObjectWriter
ObjectReader