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jdata_format_schema.json
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817 lines (817 loc) · 28.4 KB
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{
"$schema": "http://json-schema.org/draft-07/schema#",
"title": "JData JSON Schema",
"description": "JSON schema for JData - a general-purpose data annotation and interchange format (Draft-4)",
"type": "object",
"properties": {
"_DataGroup_": {
"$ref": "#/definitions/DataGroupDef"
},
"_Dataset_": {
"$ref": "#/definitions/DatasetDef"
},
"_DataRecord_": {
"$ref": "#/definitions/DataRecordDef"
},
"_DataInfo_": {
"$ref": "#/definitions/DataInfoDef"
},
".datainfo": {
"$ref": "#/definitions/DataInfoDef",
"description": "CouchDB-compatible alias for _DataInfo_"
},
"_DataSchema_": {
"$ref": "#/definitions/DataSchemaDef"
},
".dataschema": {
"$ref": "#/definitions/DataSchemaDef",
"description": "CouchDB-compatible alias for _DataSchema_"
},
"_DataLink_": {
"$ref": "#/definitions/DataLinkDef"
},
"_DataAnchor_": {
"type": "string",
"description": "Named anchor for referencing by _DataLink_"
},
"_NaN_": {
"type": "string",
"enum": ["_NaN_"],
"description": "IEEE 754 NaN constant"
},
"_Inf_": {
"type": "string",
"enum": ["_Inf_", "+_Inf_"],
"description": "IEEE 754 positive infinity constant"
},
"-_Inf_": {
"type": "string",
"enum": ["-_Inf_"],
"description": "IEEE 754 negative infinity constant"
},
"_ByteStream_": {
"$ref": "#/definitions/ByteStreamDef"
}
},
"patternProperties": {
"^_DataGroup_\\(.+\\)$": {
"$ref": "#/definitions/DataGroupDef"
},
"^_Dataset_\\(.+\\)$": {
"$ref": "#/definitions/DatasetDef"
},
"^_DataRecord_\\(.+\\)$": {
"$ref": "#/definitions/DataRecordDef"
},
"^_TableData_\\(.+\\)$": {
"$ref": "#/definitions/TableDataDef"
},
"^_TreeData_\\(.+\\)$": {
"$ref": "#/definitions/TreeDataDef"
},
"^_LinkedList_\\(.+\\)$": {
"$ref": "#/definitions/LinkedListDef"
},
"^_LinkedList_\\(.+\\)(::.*)?$": {
"$ref": "#/definitions/LinkedListDef"
},
"^_GraphData_\\(.+\\)_$": {
"$ref": "#/definitions/GraphDataDef"
},
"^_ListNode_\\(.+\\)$": {
"$ref": "#/definitions/ListNodeDef"
},
"^_TreeNode_\\(.+\\)$": {
"$ref": "#/definitions/TreeNodeDef"
},
"^[^_].*::[^:]*$": {
"description": "Inline metadata annotation: item_name::Property1=value1,Property2=value2,..."
}
},
"additionalProperties": true,
"definitions": {
"DataGroupDef": {
"title": "DataGroup",
"description": "Container for organizing logically connected datasets",
"oneOf": [
{
"type": "object",
"additionalProperties": true
},
{
"type": "array",
"items": true
}
]
},
"DatasetDef": {
"title": "Dataset",
"description": "Container for logically connected data records",
"oneOf": [
{
"type": "object",
"additionalProperties": true
},
{
"type": "array",
"items": true
}
]
},
"DataRecordDef": {
"title": "DataRecord",
"description": "Container for meaningful data units",
"oneOf": [
{
"type": "object",
"additionalProperties": true
},
{
"type": "array",
"items": true
}
]
},
"DataInfoDef": {
"type": "object",
"title": "DataInfo",
"description": "Metadata record for data annotation",
"properties": {
"Version": {
"type": "string",
"description": "Version string of the data or the generating software"
},
"Author": {
"type": "string",
"description": "Name(s) of the data creator(s)"
},
"Comment": {
"type": "string",
"description": "Free-text description"
},
"UniqueID": {
"type": "string",
"description": "Globally unique identifier (e.g., UUID v4)"
},
"CreateTime": {
"type": "string",
"description": "ISO 8601 creation timestamp (e.g., \"2024-03-15T14:32:00Z\")"
},
"ModifiedTime": {
"type": "string",
"description": "ISO 8601 last-modification timestamp"
},
"License": {
"type": "string",
"description": "SPDX license identifier (e.g., \"CC-BY-4.0\", \"Apache-2.0\")"
},
"GeneratedBy": {
"type": "string",
"description": "Name and version of the software that produced the data"
},
"DerivedFrom": {
"type": "string",
"description": "URI or identifier of the source data from which this was derived"
},
"SourceFormat": {
"type": "string",
"description": "Original file format before conversion (e.g., \"NIfTI-1\", \"HDF5\")"
},
"_DataAnchor_": {
"type": "string",
"description": "Named anchor for referencing"
}
},
"additionalProperties": true
},
"DataSchemaDef": {
"title": "DataSchema",
"description": "Associates a JSON Schema document with a data node for formal structure validation. The value must be either a valid JSON Schema object or a URI string pointing to an external schema document. Parsers that do not recognize _DataSchema_ must silently ignore it.",
"oneOf": [
{
"type": "string",
"description": "URI pointing to an external JSON Schema document"
},
{
"type": "object",
"description": "Inline JSON Schema object",
"properties": {
"$schema": {
"type": "string"
}
},
"additionalProperties": true
}
]
},
"DataLinkDef": {
"title": "DataLink",
"description": "Reference to internal or external data",
"oneOf": [
{
"type": "string",
"description": "URI path to referenced data"
},
{
"type": "array",
"items": {
"type": "integer"
},
"description": "Local index vector reference"
},
{
"type": "object",
"properties": {
"URI": {
"type": "string",
"description": "URI path to referenced data"
},
"Parameters": {
"type": "string",
"description": "JSONPath expression to a specific element"
},
"MaxRecursion": {
"type": "integer",
"description": "Maximum recursion depth for link resolution"
}
},
"required": ["URI"],
"additionalProperties": true
}
]
},
"ArrayTypeDef": {
"type": "string",
"enum": [
"uint8", "int8",
"uint16", "int16",
"uint32", "int32",
"uint64", "int64",
"half", "single", "double",
"float16", "float32", "float64",
"byte", "char", "logical"
],
"description": "Numeric data type. float16/float32/float64 are aliases for half/single/double (NumPy/Arrow interoperability). byte/char/logical are aliases for uint8."
},
"ArrayShapeIdDef": {
"type": "string",
"enum": [
"diag",
"upper", "lower",
"uppersymm", "lowersymm",
"upperband", "lowerband",
"uppersymmband","lowersymmband",
"band",
"toeplitz",
"upperherm", "lowerherm",
"upperhermband","lowerhermband",
"circulant",
"hankel",
"identity",
"zero",
"range"
],
"description": "Special matrix/array shape identifier"
},
"AnnotatedArrayDef": {
"type": "object",
"title": "AnnotatedArray",
"description": "JData annotated N-dimensional array format",
"properties": {
"_ArrayType_": {
"$ref": "#/definitions/ArrayTypeDef"
},
"_ArraySize_": {
"type": "array",
"items": {
"type": "integer",
"minimum": 0
},
"minItems": 1,
"description": "Dimensions of the N-D array"
},
"_ArrayOrder_": {
"type": "string",
"enum": ["r", "row", "c", "col", "column"],
"description": "Array serialization order: row-major (r/row, default) or column-major (c/col/column)"
},
"_ArrayData_": {
"description": "Raw array data. When _ArrayChunks_ is present, this is a 1-D array of per-chunk payloads in row-major order."
},
"_ArrayIsComplex_": {
"type": "boolean",
"description": "True if array contains complex numbers. _ArrayData_ is a 2-D array whose first row holds the serialized real part and second row holds the serialized imaginary part of the complex array (separate rows, not byte-interleaved)."
},
"_ArrayIsSparse_": {
"type": "boolean",
"description": "True if array is sparse (row-indices, col-indices, values format)"
},
"_ArrayLabel_": {
"type": "array",
"description": "Dimension labels. Each element is a string name or a [name, start, width] tuple.",
"items": {
"oneOf": [
{ "type": "string" },
{
"type": "array",
"items": [
{ "type": "string" },
{ "type": "integer" },
{ "type": "integer" }
],
"minItems": 1
}
]
}
},
"_ArrayCoords_": {
"type": "array",
"description": "Positional coordinate array, one element per dimension in _ArrayLabel_ order (requires _ArrayLabel_). Each element's length must equal the corresponding _ArraySize_ entry. Elements may be plain 1-D arrays or annotated JData array objects; when _ArrayShape_:\"range\" is used, _ArrayData_ must be a 2-element [start, end] vector and _ArraySize_ must equal the dimension size.",
"items": {
"oneOf": [
{
"type": "array",
"description": "Plain 1-D coordinate array"
},
{
"$ref": "#/definitions/AnnotatedArrayDef",
"description": "Annotated JData array (preserves binary type information)"
}
]
}
},
"_ArrayUnits_": {
"oneOf": [
{
"type": "string",
"description": "Single unit string applied uniformly to all dimensions (UDUNITS-2 convention, e.g. \"mm\", \"ms\", \"kg/m^3\"). An empty string denotes dimensionless or undefined."
},
{
"type": "array",
"items": { "type": "string" },
"description": "Per-dimension unit strings with length equal to length(_ArraySize_)"
}
],
"description": "Physical unit(s) of the array dimensions (UDUNITS-2 convention)"
},
"_ArrayFillValue_": {
"type": "number",
"description": "Scalar sentinel for missing or invalid entries of the same numeric type as _ArrayType_. Important for integer types where IEEE 754 NaN cannot be represented. Both _ArrayFillValue_ and NaN entries (if present) are treated as missing."
},
"_ArrayShape_": {
"oneOf": [
{
"$ref": "#/definitions/ArrayShapeIdDef"
},
{
"type": "array",
"items": [
{ "$ref": "#/definitions/ArrayShapeIdDef" }
],
"additionalItems": {
"type": "number"
},
"description": "Shape ID followed by optional numeric parameters (e.g. bandwidth for band/toeplitz)"
}
],
"description": "Special matrix or array shape descriptor. Shapes: diag, upper/lower (triangular), uppersymm/lowersymm, band variants, toeplitz, circulant, hankel, identity, zero, range."
},
"_ArrayChunks_": {
"type": "array",
"items": {
"type": "integer",
"minimum": 1
},
"minItems": 1,
"description": "Tile (chunk) shape for partitioning an array into independently compressible blocks. Two modes depending on array type: (1) Dense real/complex arrays: _ArrayChunks_ is in _ArraySize_ (original) order; the decoder computes tile counts as ceil(_ArraySize_ / _ArrayChunks_) and tiles the row-major permuted intermediate. (2) Non-dense arrays (sparse, complex-sparse, shaped, complex-shaped): _ArrayChunks_ is in _ArrayZipSize_ (processed) coordinate space; the decoder computes tile counts as ceil(_ArrayZipSize_ / _ArrayChunks_). When present, _ArrayZipData_ becomes a 1-D array of per-chunk payloads in row-major tile order. The last chunk along any dimension may be smaller than the declared shape."
},
"_ArrayZipType_": {
"type": "string",
"enum": [
"zlib", "gzip", "bz2", "lzma",
"zstd", "lz4",
"blosc2", "blosc2lz4", "blosc2lz4hc",
"blosc2blosclz", "blosc2zstd", "blosc2zlib",
"base64"
],
"description": "Compression codec identifier. Note: zlib (RFC 1950) and gzip (RFC 1952) are distinct formats. Only Blosc2 (not Blosc v1) is supported. 'blosc2' defaults to the BloscLZ internal codec; 'blosc2lz4' selects LZ4, 'blosc2lz4hc' LZ4-HC, 'blosc2zstd' Zstandard, 'blosc2zlib' zlib. Additional codec-specific parameters (typesize, clevel, shuffle, nthreads) may be passed via _ArrayZipOptions_."
},
"_ArrayZipSize_": {
"oneOf": [
{
"type": "array",
"items": {
"type": "integer",
"minimum": 0
},
"minItems": 1,
"description": "Shape of the pre-processed array (multi-dimensional form)"
},
{
"type": "integer",
"minimum": 0,
"description": "Total element count of the pre-processed array (scalar shorthand for 1-D case)"
}
],
"description": "Shape of the full pre-processed array before compression. For dense real arrays: [1, N] where N = total elements. For dense complex arrays: [2, N] where N = total elements. For non-dense arrays (sparse, shaped): the logical 2-D processed-array shape (e.g. [3, K] for a real sparse matrix with K nonzeros). When _ArrayChunks_ is absent, the decoder uses this shape to reconstruct the flat byte stream. When _ArrayChunks_ is present for dense arrays, tile counts are ceil(_ArraySize_ / _ArrayChunks_); for non-dense arrays, tile counts are ceil(_ArrayZipSize_ / _ArrayChunks_)."
},
"_ArrayZipData_": {
"oneOf": [
{
"type": "string",
"description": "Base64-encoded compressed byte stream (unchunked array)"
},
{
"type": "array",
"items": {
"oneOf": [
{
"type": "string",
"description": "Base64-encoded compressed payload for one chunk"
},
{
"$ref": "#/definitions/DataLinkDef",
"description": "_DataLink_ reference to an externally stored chunk payload (enables distributed/lazy-loaded chunk storage)"
}
]
},
"description": "1-D array of per-chunk compressed payloads in row-major order (when _ArrayChunks_ is present). Each element is either a Base64-encoded string or a _DataLink_ pointing to an external chunk."
}
],
"description": "Compressed and Base64-encoded array data, or a 1-D cell of per-chunk payloads when _ArrayChunks_ is present"
},
"_ArrayZipEndian_": {
"type": "string",
"enum": ["little", "big"],
"description": "Byte order of the array elements before compression (default: little-endian)"
},
"_ArrayZipLevel_": {
"type": "number",
"description": "Compression level (typically 0-9, interpretation is codec-dependent)"
},
"_ArrayZipOptions_": {
"type": "object",
"description": "Additional codec-specific parameters (e.g., for Blosc2: typesize, clevel, shuffle, nthreads)",
"additionalProperties": true
},
"_ArrayShuffle_": {
"type": "integer",
"not": { "enum": [0] },
"description": "Byte or bit shuffle applied before compression. A positive integer N specifies byte shuffle with stride N (e.g., 4 reorders [1,2,3,4,5,6,7,8,...] to [1,5,...,2,6,...,3,7,...,4,8,...]). A negative integer -N specifies bit-wise shuffle with spacing N. Must be applied before compression; unshuffle applied on decompression."
}
},
"required": ["_ArrayType_", "_ArraySize_"],
"if": {
"properties": {
"_ArrayShape_": { "type": "string", "enum": ["zero"] }
},
"required": ["_ArrayShape_"]
},
"then": {},
"else": {
"oneOf": [
{ "required": ["_ArrayData_"] },
{ "required": ["_ArrayZipData_", "_ArrayZipType_", "_ArrayZipSize_"] }
]
},
"not": {
"allOf": [
{ "required": ["_ArrayData_"] },
{ "required": ["_ArrayZipData_"] }
]
},
"additionalProperties": false
},
"MapDataDef": {
"type": "object",
"title": "MapData",
"description": "Associative array (hash/map) with non-string keys",
"properties": {
"_MapData_": {
"type": "array",
"items": {
"type": "array",
"minItems": 2
},
"description": "Array of [key, value, ...] pairs"
}
},
"required": ["_MapData_"],
"additionalProperties": true
},
"TableColumnDef": {
"oneOf": [
{
"type": "string",
"description": "Column/row name (plain string form)"
},
{
"type": "object",
"properties": {
"DataName": {
"type": "string",
"description": "Column or row name"
},
"DataType": {
"type": "string",
"enum": [
"uint8", "int8",
"uint16", "int16",
"uint32", "int32",
"uint64", "int64",
"half", "single", "double",
"float16", "float32", "float64",
"string", "bool", "blob", "datetime"
],
"description": "Data type of this column/row. datetime values are ISO 8601 strings; values without an explicit time-zone offset are interpreted as UTC."
}
},
"additionalProperties": true
}
]
},
"TableDataDef": {
"type": "object",
"title": "TableData",
"description": "2D table data structure",
"properties": {
"_TableCols_": {
"type": "array",
"items": {
"$ref": "#/definitions/TableColumnDef"
},
"description": "Column names and types"
},
"_TableRows_": {
"type": "array",
"items": {
"$ref": "#/definitions/TableColumnDef"
},
"description": "Row names and types"
},
"_TableRecords_": {
"type": "array",
"items": {
"type": "array"
},
"description": "2D array storing table entries (rows of column values)"
},
"_TableIndex_": {
"oneOf": [
{
"type": "string",
"description": "Single column name forming the unique row index"
},
{
"type": "array",
"items": { "type": "string" },
"minItems": 1,
"description": "Ordered list of column names forming a composite unique row index"
}
],
"description": "Names of one or more columns in _TableCols_ that together form the unique row index (analogous to a SQL primary key or pandas DataFrame.index). If absent, the implicit index is the 1-based row position."
},
"_TableSortOrder_": {
"type": "array",
"items": { "type": "string" },
"description": "Declared sort order of the stored records. Each element is a column name; a leading \"-\" prefix denotes descending order (e.g., [\"-Age\", \"Height\"] means descending Age then ascending Height). Parsers may rely on this to skip re-sorting for binary-search or merge operations."
}
},
"required": ["_TableRecords_"],
"additionalProperties": true
},
"EnumDataDef": {
"type": "object",
"title": "EnumData",
"description": "Enumeration (categorical) data structure for arrays with repeated values from a finite set",
"properties": {
"_EnumKey_": {
"type": "array",
"description": "Array of unique category values (may have mixed data types)"
},
"_EnumValue_": {
"oneOf": [
{
"type": "array",
"items": {
"type": "integer",
"minimum": 1
},
"description": "1-D integer array of 1-based indices into _EnumKey_"
},
{
"$ref": "#/definitions/AnnotatedArrayDef",
"description": "N-D annotated integer array of 1-based indices (may use array compression)"
}
],
"description": "1-based indices into _EnumKey_. Note: this differs from 0-based indexing used by JSONPath and Apache Arrow DictionaryArray; subtract 1 when converting."
},
"_EnumOrdered_": {
"type": "boolean",
"description": "When true, categories in _EnumKey_ are treated as an ordered (ordinal) sequence where position defines ranking (first entry is lowest). Equivalent to ordered=True in pandas CategoricalDtype or an R ordered factor. If absent or false, the enumeration is unordered (nominal)."
}
},
"required": ["_EnumKey_", "_EnumValue_"],
"additionalProperties": false
},
"TreeDataDef": {
"type": "object",
"title": "TreeData",
"description": "Tree data structure container",
"patternProperties": {
"^_TreeNode_\\(.+\\)$": {
"description": "Tree node with data"
}
},
"properties": {
"_TreeChildren_": {
"type": "array",
"items": {
"$ref": "#/definitions/TreeNodeContainerDef"
},
"description": "Array of child nodes"
}
},
"additionalProperties": true
},
"TreeNodeDef": {
"title": "TreeNode",
"description": "Individual tree node",
"additionalProperties": true
},
"TreeNodeContainerDef": {
"type": "object",
"title": "TreeNodeContainer",
"description": "Container for a tree node with optional children",
"patternProperties": {
"^_TreeNode_\\(.+\\)$": {
"description": "Tree node data"
}
},
"properties": {
"_TreeChildren_": {
"type": "array",
"items": {
"$ref": "#/definitions/TreeNodeContainerDef"
},
"description": "Array of child nodes"
}
},
"additionalProperties": true
},
"LinkedListDef": {
"type": "array",
"title": "LinkedList",
"description": "Singly or doubly linked list structure. The container key may carry inline metadata to declare the node count: \"_LinkedList_(name)::Length=N\".",
"items": {
"$ref": "#/definitions/ListNodeDef"
}
},
"ListNodeDef": {
"type": "object",
"title": "ListNode",
"description": "Node in a linked list",
"patternProperties": {
"^_ListNode_\\(.+\\)$": {
"description": "Node data with unique name within the list"
}
},
"properties": {
"_ListNext_": {
"oneOf": [
{ "type": "string" },
{ "type": "null" }
],
"description": "Name of the next node (null if this is the last node)"
},
"_ListPrior_": {
"oneOf": [
{ "type": "string" },
{ "type": "null" }
],
"description": "Name of the previous node (null if this is the first node)"
}
},
"additionalProperties": true
},
"GraphDataDef": {
"type": "object",
"title": "GraphData",
"description": "Graph data structure with nodes and edges",
"properties": {
"_GraphNodes_": {
"type": "object",
"description": "Graph nodes with their associated data",
"additionalProperties": true
},
"_GraphEdges_": {
"type": "array",
"items": {
"type": "array",
"minItems": 2,
"items": [
{
"type": "string",
"description": "Source node name"
},
{
"type": "string",
"description": "Destination node name"
}
],
"additionalItems": {
"description": "Optional edge data (scalar edge data is interpreted as edge weight)"
}
},
"description": "Directed graph edges. Each entry is [source, destination, optional_data]."
},
"_GraphEdges0_": {
"type": "array",
"items": {
"type": "array",
"minItems": 2,
"items": [
{
"type": "string",
"description": "First node name"
},
{
"type": "string",
"description": "Second node name"
}
],
"additionalItems": {
"description": "Optional edge data (scalar edge data is interpreted as edge weight)"
}
},
"description": "Undirected graph edges. Each entry [A, B, ...] implies the reverse edge [B, A, ...]; parsers must not double-store edge data. _GraphMatrix_ is symmetric when paired with _GraphEdges0_."
},
"_GraphMatrix_": {
"oneOf": [
{
"type": "array",
"items": {
"type": "array",
"items": { "type": "number" }
},
"description": "Adjacency matrix in direct 2-D array format"
},
{
"$ref": "#/definitions/AnnotatedArrayDef",
"description": "Adjacency matrix in annotated JData array format (supports sparse representation)"
}
],
"description": "Graph adjacency matrix. Interpreted as symmetric when paired with _GraphEdges0_."
}
},
"required": ["_GraphNodes_"],
"oneOf": [
{ "required": ["_GraphEdges_"] },
{ "required": ["_GraphEdges0_"] },
{ "required": ["_GraphMatrix_"] }
],
"additionalProperties": true
},
"ByteStreamDef": {
"title": "ByteStream",
"description": "Generic binary byte-stream data",
"oneOf": [
{
"type": "string",
"description": "Base64-encoded byte stream (simple form)"
},
{
"type": "object",
"properties": {
"_DataInfo_": {
"type": "object",
"properties": {
"MediaType": {
"type": "string",
"description": "MIME type of the original data (e.g., \"image/png\")"
},
"Encoding": {
"type": "array",
"items": { "type": "string" },
"description": "Ordered list of encoding steps applied to the byte stream"
},
"ByteLength": {
"type": "integer",
"minimum": 0,
"description": "Length of the encoded data in bytes"
}
},
"additionalProperties": true
},
"Data": {
"type": "string",
"description": "Base64-encoded byte stream data"
}
},
"required": ["Data"],
"additionalProperties": true
}
]
}
}
}