001/*****************************************************************************
002 * Copyright by The HDF Group.                                               *
003 * Copyright by the Board of Trustees of the University of Illinois.         *
004 * All rights reserved.                                                      *
005 *                                                                           *
006 * This file is part of the HDF Java Products distribution.                  *
007 * The full copyright notice, including terms governing use, modification,   *
008 * and redistribution, is contained in the COPYING file, which can be found  *
009 * at the root of the source code distribution tree,                         *
010 * or in https://www.hdfgroup.org/licenses.                                  *
011 * If you do not have access to either file, you may request a copy from     *
012 * help@hdfgroup.org.                                                        *
013 ****************************************************************************/
014
015package hdf.object.nc2;
016
017import java.lang.reflect.Array;
018import java.math.BigInteger;
019import java.util.Arrays;
020import java.util.Collection;
021import java.util.HashMap;
022import java.util.List;
023import java.util.Map;
024
025import org.slf4j.Logger;
026import org.slf4j.LoggerFactory;
027
028import hdf.object.Attribute;
029import hdf.object.DataFormat;
030import hdf.object.Dataset;
031import hdf.object.Datatype;
032import hdf.object.FileFormat;
033import hdf.object.Group;
034import hdf.object.HObject;
035import hdf.object.ScalarDS;
036
037/**
038 * An attribute is a (name, value) pair of metadata attached to a primary data object such as a dataset, group or named
039 * datatype.
040 *
041 * Like a dataset, an attribute has a name, datatype and dataspace.
042 *
043 * For more details on attributes, <a href="https://hdfgroup.github.io/hdf5/_h5_a__u_g.html#sec_attribute">HDF5
044 * Attributes in HDF5 User Guide</a>
045 *
046 * The following code is an example of an attribute with 1D integer array of two elements.
047 *
048 * <pre>
049 * // Example of creating a new attribute
050 * // The name of the new attribute
051 * String name = "Data range";
052 * // Creating an unsigned 1-byte integer datatype
053 * Datatype type = new Datatype(Datatype.CLASS_INTEGER, // class
054 *                              1,                      // size in bytes
055 *                              Datatype.ORDER_LE,      // byte order
056 *                              Datatype.SIGN_NONE);    // unsigned
057 * // 1-D array of size two
058 * long[] dims = {2};
059 * // The value of the attribute
060 * int[] value = {0, 255};
061 * // Create a new attribute
062 * Attribute dataRange = new Attribute(name, type, dims);
063 * // Set the attribute value
064 * dataRange.setValue(value);
065 * // See FileFormat.writeAttribute() for how to attach an attribute to an object,
066 * &#64;see hdf.object.FileFormat#writeAttribute(HObject, Attribute, boolean)
067 * </pre>
068 *
069 *
070 * For an atomic datatype, the value of an Attribute will be a 1D array of integers, floats and strings. For a compound
071 * datatype, it will be a 1D array of strings with field members separated by a comma. For example, "{0, 10.5}, {255,
072 * 20.0}, {512, 30.0}" is a compound attribute of {int, float} of three data points.
073 *
074 * @see hdf.object.Datatype
075 *
076 * @version 2.0 4/2/2018
077 * @author Peter X. Cao, Jordan T. Henderson
078 */
079public class NC2Attribute extends ScalarDS implements Attribute
080{
081    private static final long serialVersionUID = 2072473407027648309L;
082
083    private static final Logger log = LoggerFactory.getLogger(NC2Attribute.class);
084
085    /** The HObject to which this NC2Attribute is attached, Attribute interface */
086    protected HObject         parentObject;
087
088    /** additional information and properties for the attribute, Attribute interface */
089    private transient Map<String, Object> properties;
090
091    /**
092     * Create an attribute with specified name, data type and dimension sizes.
093     *
094     * For scalar attribute, the dimension size can be either an array of size one
095     * or null, and the rank can be either 1 or zero. Attribute is a general class
096     * and is independent of file format, e.g., the implementation of attribute
097     * applies to both HDF4 and HDF5.
098     *
099     * The following example creates a string attribute with the name "CLASS" and
100     * value "IMAGE".
101     *
102     * <pre>
103     * long[] attrDims = { 1 };
104     * String attrName = &quot;CLASS&quot;;
105     * String[] classValue = { &quot;IMAGE&quot; };
106     * Datatype attrType = null;
107     * try {
108     *     attrType = new NC2Datatype(Datatype.CLASS_STRING, classValue[0].length() + 1, Datatype.NATIVE, Datatype.NATIVE);
109     * }
110     * catch (Exception ex) {}
111     * Attribute attr = new Attribute(attrName, attrType, attrDims);
112     * attr.setValue(classValue);
113     * </pre>
114     *
115     * @param parentObj
116     *            the HObject to which this Attribute is attached.
117     * @param attrName
118     *            the name of the attribute.
119     * @param attrType
120     *            the datatype of the attribute.
121     * @param attrDims
122     *            the dimension sizes of the attribute, null for scalar attribute
123     *
124     * @see hdf.object.Datatype
125     */
126    public NC2Attribute(HObject parentObj, String attrName, Datatype attrType, long[] attrDims) {
127        this(parentObj, attrName, attrType, attrDims, null);
128    }
129
130    /**
131     * Create an attribute with specific name and value.
132     *
133     * For scalar attribute, the dimension size can be either an array of size one
134     * or null, and the rank can be either 1 or zero. Attribute is a general class
135     * and is independent of file format, e.g., the implementation of attribute
136     * applies to both HDF4 and HDF5.
137     *
138     * The following example creates a string attribute with the name "CLASS" and
139     * value "IMAGE".
140     *
141     * <pre>
142     * long[] attrDims = { 1 };
143     * String attrName = &quot;CLASS&quot;;
144     * String[] classValue = { &quot;IMAGE&quot; };
145     * Datatype attrType = null;
146     * try {
147     *     attrType = new NC2Datatype(Datatype.CLASS_STRING, classValue[0].length() + 1, Datatype.NATIVE, Datatype.NATIVE);
148     * }
149     * catch (Exception ex) {}
150     * NC2Attribute attr = new NC2Attribute(attrName, attrType, attrDims, classValue);
151     * </pre>
152     *
153     * @param parentObj
154     *            the HObject to which this Attribute is attached.
155     * @param attrName
156     *            the name of the attribute.
157     * @param attrType
158     *            the datatype of the attribute.
159     * @param attrDims
160     *            the dimension sizes of the attribute, null for scalar attribute
161     * @param attrValue
162     *            the value of the attribute, null if no value
163     *
164     * @see hdf.object.Datatype
165     */
166    @SuppressWarnings({ "rawtypes", "unchecked", "deprecation" })
167    public NC2Attribute(HObject parentObj, String attrName, Datatype attrType, long[] attrDims, Object attrValue) {
168        super((parentObj == null) ? null : parentObj.getFileFormat(), attrName,
169                (parentObj == null) ? null : parentObj.getFullName(), null);
170
171        log.trace("NC2Attribute: start {}", parentObj);
172        this.parentObject = parentObj;
173
174        unsignedConverted = false;
175
176        datatype = attrType;
177
178        if (attrValue != null) {
179            data = attrValue;
180            originalBuf = attrValue;
181            isDataLoaded = true;
182        }
183        properties = new HashMap();
184
185        if (attrDims == null) {
186            rank = 1;
187            dims = new long[] { 1 };
188        }
189        else {
190            dims = attrDims;
191            rank = dims.length;
192        }
193
194        selectedDims = new long[rank];
195        startDims = new long[rank];
196        selectedStride = new long[rank];
197
198        log.trace("attrName={}, attrType={}, attrValue={}, rank={}, isUnsigned={}",
199                attrName, getDatatype().getDescription(), data, rank, getDatatype().isUnsigned());
200
201        resetSelection();
202    }
203
204    /*
205     * (non-Javadoc)
206     *
207     * @see hdf.object.HObject#open()
208     */
209    @Override
210    public long open() {
211        long aid = -1;
212        long pObjID = -1;
213
214        if (parentObject == null) {
215            log.debug("open(): attribute's parent object is null");
216            return -1;
217        }
218
219        try {
220            pObjID = parentObject.open();
221            if (pObjID >= 0) {
222                if (this.getFileFormat().isThisType(FileFormat.getFileFormat(FileFormat.FILE_TYPE_NC3))) {
223                    log.trace("open(): FILE_TYPE_NC3");
224                    /*
225                     * TODO: Get type of netcdf3 object this is attached to and retrieve attribute info.
226                     */
227                }
228            }
229
230            log.trace("open(): aid={}", aid);
231        }
232        catch (Exception ex) {
233            log.debug("open(): Failed to open attribute {}: ", getName(), ex);
234            aid = -1;
235        }
236        finally {
237            parentObject.close(pObjID);
238        }
239
240        return aid;
241    }
242
243    /*
244     * (non-Javadoc)
245     *
246     * @see hdf.object.HObject#close(int)
247     */
248    @Override
249    public void close(long aid) {
250        if (aid >= 0) {
251            if (this.getFileFormat().isThisType(FileFormat.getFileFormat(FileFormat.FILE_TYPE_NC3))) {
252                log.trace("close(): FILE_TYPE_NC3");
253                /*
254                 * TODO: Get type of netcdf3 object this is attached to and close attribute.
255                 */
256            }
257        }
258    }
259
260    @Override
261    public void init() {
262        if (inited) {
263            resetSelection();
264            log.trace("init(): NC2Attribute already inited");
265            return;
266        }
267
268        if (this.getFileFormat().isThisType(FileFormat.getFileFormat(FileFormat.FILE_TYPE_NC3))) {
269            log.trace("init(): FILE_TYPE_NC3");
270            /*
271             * TODO: If netcdf3 attribute object needs to init dependent objects.
272             */
273            inited = true;
274        }
275
276        resetSelection();
277    }
278
279    /**
280     * Reads the data from file.
281     *
282     * read() reads the data from file to a memory buffer and returns the memory
283     * buffer. The dataset object does not hold the memory buffer. To store the
284     * memory buffer in the dataset object, one must call getData().
285     *
286     * By default, the whole dataset is read into memory. Users can also select
287     * a subset to read. Subsetting is done in an implicit way.
288     *
289     * @return the data read from file.
290     *
291     * @see #getData()
292     *
293     * @throws Exception
294     *             if object can not be read
295     * @throws OutOfMemoryError
296     *             if memory is exhausted
297     */
298    @Override
299    public Object read() throws Exception, OutOfMemoryError {
300        if (!inited)
301            init();
302
303        return data;
304    }
305
306    /* Implement abstract Dataset */
307
308    /**
309     * Writes a memory buffer to the object in the file.
310     *
311     * @param buf
312     *            the data to write
313     *
314     * @throws Exception
315     *             if data can not be written
316     */
317    @Override
318    public void write(Object buf) throws Exception {
319        log.trace("function of dataset: write(Object) start");
320        if (!buf.equals(data))
321            setData(buf);
322
323        init();
324
325        if (parentObject == null) {
326            log.debug("write(Object): parent object is null; nowhere to write attribute to");
327            return;
328        }
329    }
330
331    /*
332     * (non-Javadoc)
333     * @see hdf.object.Dataset#copy(hdf.object.Group, java.lang.String, long[], java.lang.Object)
334     */
335    @Override
336    public Dataset copy(Group pgroup, String dstName, long[] dims, Object buff) throws Exception {
337        // not supported
338        throw new UnsupportedOperationException("copy operation unsupported for NC2.");
339    }
340
341    /*
342     * (non-Javadoc)
343     * @see hdf.object.Dataset#readBytes()
344     */
345    @Override
346    public byte[] readBytes() throws Exception {
347        // not supported
348        throw new UnsupportedOperationException("readBytes operation unsupported for NC2.");
349    }
350
351    /* Implement interface Attribute */
352
353    /**
354     * Returns the HObject to which this Attribute is currently "attached".
355     *
356     * @return the HObject to which this Attribute is currently "attached".
357     */
358    public HObject getParentObject() {
359        return parentObject;
360    }
361
362    /**
363     * Sets the HObject to which this Attribute is "attached".
364     *
365     * @param pObj
366     *            the new HObject to which this Attribute is "attached".
367     */
368    public void setParentObject(HObject pObj) {
369        parentObject = pObj;
370    }
371
372    /**
373     * set a property for the attribute.
374     *
375     * @param key the attribute Map key
376     * @param value the attribute Map value
377     */
378    public void setProperty(String key, Object value) {
379        properties.put(key, value);
380    }
381
382    /**
383     * get a property for a given key.
384     *
385     * @param key the attribute Map key
386     *
387     * @return the property
388     */
389    public Object getProperty(String key) {
390        return properties.get(key);
391    }
392
393    /**
394     * get all property keys.
395     *
396     * @return the Collection of property keys
397     */
398    public Collection<String> getPropertyKeys() {
399        return properties.keySet();
400    }
401
402    /**
403     * Returns the name of the object. For example, "Raster Image #2".
404     *
405     * @return The name of the object.
406     */
407    public final String getAttributeName() {
408        return getName();
409    }
410
411    /**
412     * Retrieves the attribute data from the file.
413     *
414     * @return the attribute data.
415     *
416     * @throws Exception
417     *             if the data can not be retrieved
418     */
419    public final Object getAttributeData() throws Exception, OutOfMemoryError {
420        return getData();
421    }
422
423    /**
424     * Returns the datatype of the attribute.
425     *
426     * @return the datatype of the attribute.
427     */
428    public final Datatype getAttributeDatatype() {
429        return getDatatype();
430    }
431
432    /**
433     * Returns the space type for the attribute. It returns a
434     * negative number if it failed to retrieve the type information from
435     * the file.
436     *
437     * @return the space type for the attribute.
438     */
439    public final int getAttributeSpaceType() {
440        return getSpaceType();
441    }
442
443    /**
444     * Returns the rank (number of dimensions) of the attribute. It returns a
445     * negative number if it failed to retrieve the dimension information from
446     * the file.
447     *
448     * @return the number of dimensions of the attribute.
449     */
450    public final int getAttributeRank() {
451        return getRank();
452    }
453
454    /**
455     * Returns the selected size of the rows and columns of the attribute. It returns a
456     * negative number if it failed to retrieve the size information from
457     * the file.
458     *
459     * @return the selected size of the rows and colums of the attribute.
460     */
461    public final int getAttributePlane() {
462        return (int)getWidth() * (int)getHeight();
463    }
464
465    /**
466     * Returns the array that contains the dimension sizes of the data value of
467     * the attribute. It returns null if it failed to retrieve the dimension
468     * information from the file.
469     *
470     * @return the dimension sizes of the attribute.
471     */
472    public final long[] getAttributeDims() {
473        return getDims();
474    }
475
476    /**
477     * @return true if the dataspace is a NULL; otherwise, returns false.
478     */
479    public boolean isAttributeNULL() {
480        return isNULL();
481    }
482
483    /**
484     * @return true if the data is a single scalar point; otherwise, returns false.
485     */
486    public boolean isAttributeScalar() {
487        return isScalar();
488    }
489
490    /**
491     * Not for public use in the future.
492     *
493     * setData() is not safe to use because it changes memory buffer
494     * of the dataset object. Dataset operations such as write/read
495     * will fail if the buffer type or size is changed.
496     *
497     * @param d  the object data -must be an array of Objects
498     */
499    public void setAttributeData(Object d) {
500        setData(d);
501    }
502
503    /**
504     * Writes the memory buffer of this dataset to file.
505     *
506     * @throws Exception if buffer can not be written
507     */
508    public void writeAttribute() throws Exception {
509        write();
510    }
511
512    /**
513     * Writes the given data buffer into this attribute in a file.
514     *
515     * The data buffer is a vector that contains the data values of compound fields. The data is written
516     * into file as one data blob.
517     *
518     * @param buf
519     *            The vector that contains the data values of compound fields.
520     *
521     * @throws Exception
522     *             If there is an error at the library level.
523     */
524    public void writeAttribute(Object buf) throws Exception {
525        write(buf);
526    }
527
528    /**
529     * Returns a string representation of the data value. For
530     * example, "0, 255".
531     *
532     * For a compound datatype, it will be a 1D array of strings with field
533     * members separated by the delimiter. For example,
534     * "{0, 10.5}, {255, 20.0}, {512, 30.0}" is a compound attribute of {int,
535     * float} of three data points.
536     *
537     * @param delimiter
538     *            The delimiter used to separate individual data points. It
539     *            can be a comma, semicolon, tab or space. For example,
540     *            toString(",") will separate data by commas.
541     *
542     * @return the string representation of the data values.
543     */
544    public String toAttributeString(String delimiter) {
545        return toString(delimiter, -1);
546    }
547
548    /**
549     * Returns a string representation of the data value. For
550     * example, "0, 255".
551     *
552     * For a compound datatype, it will be a 1D array of strings with field
553     * members separated by the delimiter. For example,
554     * "{0, 10.5}, {255, 20.0}, {512, 30.0}" is a compound attribute of {int,
555     * float} of three data points.
556     *
557     * @param delimiter
558     *            The delimiter used to separate individual data points. It
559     *            can be a comma, semicolon, tab or space. For example,
560     *            toString(",") will separate data by commas.
561     * @param maxItems
562     *            The maximum number of Array values to return
563     *
564     * @return the string representation of the data values.
565     */
566    public String toAttributeString(String delimiter, int maxItems) {
567        return toString(delimiter, maxItems);
568    }
569}