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 files COPYING and Copyright.html. *
009 * COPYING can be found at the root of the source code distribution tree.    *
010 * Or, see https://support.hdfgroup.org/products/licenses.html               *
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.fits;
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
039 * dataset, group or named datatype.
040 *
041 * Like a dataset, an attribute has a name, datatype and dataspace.
042 *
043 * For more details on attributes, <a href=
044 * "https://support.hdfgroup.org/HDF5/doc/UG/HDF5_Users_Guide-Responsive%20HTML5/index.html">HDF5
045 * User's Guide</a>
046 *
047 * The following code is an example of an attribute with 1D integer array of two elements.
048 *
049 * <pre>
050 * // Example of creating a new attribute
051 * // The name of the new attribute
052 * String name = "Data range";
053 * // Creating an unsigned 1-byte integer datatype
054 * Datatype type = new Datatype(Datatype.CLASS_INTEGER, // class
055 *                              1,                      // size in bytes
056 *                              Datatype.ORDER_LE,      // byte order
057 *                              Datatype.SIGN_NONE);    // unsigned
058 * // 1-D array of size two
059 * long[] dims = {2};
060 * // The value of the attribute
061 * int[] value = {0, 255};
062 * // Create a new attribute
063 * FitsAttribute dataRange = new FitsAttribute(name, type, dims);
064 * // Set the attribute value
065 * dataRange.setValue(value);
066 * // See FileFormat.writeAttribute() for how to attach an attribute to an object,
067 * &#64;see hdf.object.FileFormat#writeAttribute(HObject, Attribute, boolean)
068 * </pre>
069 *
070 *
071 * For an atomic datatype, the value of an FitsAttribute will be a 1D array of integers, floats and
072 * strings. For a compound datatype, it will be a 1D array of strings with field members separated
073 * by a comma. For example, "{0, 10.5}, {255, 20.0}, {512, 30.0}" is a compound attribute of {int,
074 * float} of three data points.
075 *
076 * @see hdf.object.Datatype
077 *
078 * @version 2.0 4/2/2018
079 * @author Peter X. Cao, Jordan T. Henderson
080 */
081public class FitsAttribute extends ScalarDS implements Attribute {
082
083    private static final long serialVersionUID = 2072473407027648309L;
084
085    private static final Logger log = LoggerFactory.getLogger(FitsAttribute.class);
086
087    /** The HObject to which this NC2Attribute is attached, Attribute interface */
088    protected HObject         parentObject;
089
090    /** additional information and properties for the attribute, Attribute interface */
091    private transient Map<String, Object> properties;
092
093    /**
094     * Create an attribute with specified name, data type and dimension sizes.
095     *
096     * For scalar attribute, the dimension size can be either an array of size one
097     * or null, and the rank can be either 1 or zero. Attribute is a general class
098     * and is independent of file format, e.g., the implementation of attribute
099     * applies to both HDF4 and HDF5.
100     *
101     * The following example creates a string attribute with the name "CLASS" and
102     * value "IMAGE".
103     *
104     * <pre>
105     * long[] attrDims = { 1 };
106     * String attrName = &quot;CLASS&quot;;
107     * String[] classValue = { &quot;IMAGE&quot; };
108     * Datatype attrType = null;
109     * try {
110     *     attrType = new FitsDatatype(Datatype.CLASS_STRING, classValue[0].length() + 1, Datatype.NATIVE, Datatype.NATIVE);
111     * }
112     * catch (Exception ex) {}
113     * FitsAttribute attr = new FitsAttribute(attrName, attrType, attrDims);
114     * attr.setValue(classValue);
115     * </pre>
116     *
117     * @param parentObj
118     *            the HObject to which this Attribute is attached.
119     * @param attrName
120     *            the name of the attribute.
121     * @param attrType
122     *            the datatype of the attribute.
123     * @param attrDims
124     *            the dimension sizes of the attribute, null for scalar attribute
125     *
126     * @see hdf.object.Datatype
127     */
128    public FitsAttribute(HObject parentObj, String attrName, Datatype attrType, long[] attrDims) {
129        this(parentObj, attrName, attrType, attrDims, null);
130    }
131
132    /**
133     * Create an attribute with specific name and value.
134     *
135     * For scalar attribute, the dimension size can be either an array of size one
136     * or null, and the rank can be either 1 or zero. Attribute is a general class
137     * and is independent of file format, e.g., the implementation of attribute
138     * applies to both HDF4 and HDF5.
139     *
140     * The following example creates a string attribute with the name "CLASS" and
141     * value "IMAGE".
142     *
143     * <pre>
144     * long[] attrDims = { 1 };
145     * String attrName = &quot;CLASS&quot;;
146     * String[] classValue = { &quot;IMAGE&quot; };
147     * Datatype attrType = null;
148     * try {
149     *     attrType = new FitsDatatype(Datatype.CLASS_STRING, classValue[0].length() + 1, Datatype.NATIVE, Datatype.NATIVE);
150     * }
151     * catch (Exception ex) {}
152     * FitsAttribute attr = new FitsAttribute(attrName, attrType, attrDims, classValue);
153     * </pre>
154     *
155     * @param parentObj
156     *            the HObject to which this FitsAttribute is attached.
157     * @param attrName
158     *            the name of the attribute.
159     * @param attrType
160     *            the datatype of the attribute.
161     * @param attrDims
162     *            the dimension sizes of the attribute, null for scalar attribute
163     * @param attrValue
164     *            the value of the attribute, null if no value
165     *
166     * @see hdf.object.Datatype
167     */
168    @SuppressWarnings({ "rawtypes", "unchecked", "deprecation" })
169    public FitsAttribute(HObject parentObj, String attrName, Datatype attrType, long[] attrDims, Object attrValue) {
170        super((parentObj == null) ? null : parentObj.getFileFormat(), attrName,
171                (parentObj == null) ? null : parentObj.getFullName(), null);
172
173        log.trace("FitsAttribute: start {}", parentObj);
174        this.parentObject = parentObj;
175
176        unsignedConverted = false;
177
178        datatype = attrType;
179
180        if (attrValue != null) {
181            data = attrValue;
182            originalBuf = attrValue;
183            isDataLoaded = true;
184        }
185        properties = new HashMap();
186
187        if (attrDims == null) {
188            rank = 1;
189            dims = new long[] { 1 };
190        }
191        else {
192            dims = attrDims;
193            rank = dims.length;
194        }
195
196        selectedDims = new long[rank];
197        startDims = new long[rank];
198        selectedStride = new long[rank];
199
200        log.trace("attrName={}, attrType={}, attrValue={}, rank={}, isUnsigned={}",
201                attrName, getDatatype().getDescription(), data, rank, getDatatype().isUnsigned());
202
203        resetSelection();
204    }
205
206    /*
207     * (non-Javadoc)
208     *
209     * @see hdf.object.HObject#open()
210     */
211    @Override
212    public long open() {
213        if (parentObject == null) {
214            log.debug("open(): attribute's parent object is null");
215            return -1;
216        }
217
218        return -1;
219    }
220
221    /*
222     * (non-Javadoc)
223     *
224     * @see hdf.object.HObject#close(int)
225     */
226    @Override
227    public void close(long aid) {
228    }
229
230    @Override
231    public void init() {
232        if (inited) {
233            resetSelection();
234            log.trace("init(): FitsAttribute already inited");
235            return;
236        }
237    }
238
239    /**
240     * Reads the data from file.
241     *
242     * read() reads the data from file to a memory buffer and returns the memory
243     * buffer. The dataset object does not hold the memory buffer. To store the
244     * memory buffer in the dataset object, one must call getData().
245     *
246     * By default, the whole dataset is read into memory. Users can also select
247     * a subset to read. Subsetting is done in an implicit way.
248     *
249     * @return the data read from file.
250     *
251     * @see #getData()
252     *
253     * @throws Exception
254     *             if object can not be read
255     * @throws OutOfMemoryError
256     *             if memory is exhausted
257     */
258    @Override
259    public Object read() throws Exception, OutOfMemoryError {
260        if (!inited) init();
261
262        return data;
263    }
264
265    /* Implement abstract Dataset */
266
267    /*
268     * (non-Javadoc)
269     * @see hdf.object.Dataset#copy(hdf.object.Group, java.lang.String, long[], java.lang.Object)
270     */
271    @Override
272    public Dataset copy(Group pgroup, String dstName, long[] dims, Object buff)
273            throws Exception {
274        // not supported
275        throw new UnsupportedOperationException("copy operation unsupported for FITS.");
276    }
277
278    /*
279     * (non-Javadoc)
280     * @see hdf.object.Dataset#readBytes()
281     */
282    @Override
283    public byte[] readBytes() throws Exception {
284        // not supported
285        throw new UnsupportedOperationException("readBytes operation unsupported for FITS.");
286    }
287
288    /**
289     * Writes a memory buffer to the object in the file.
290     *
291     * @param buf
292     *            the data to write
293     *
294     * @throws Exception
295     *             if data can not be written
296     */
297    @Override
298    public void write(Object buf) throws Exception {
299        // not supported
300        throw new UnsupportedOperationException("write operation unsupported for FITS.");
301    }
302
303    /**
304     * Returns the HObject to which this Attribute is currently "attached".
305     *
306     * @return the HObject to which this Attribute is currently "attached".
307     */
308    public HObject getParentObject() {
309        return parentObject;
310    }
311
312    /**
313     * Sets the HObject to which this Attribute is "attached".
314     *
315     * @param pObj
316     *            the new HObject to which this Attribute is "attached".
317     */
318    public void setParentObject(HObject pObj) {
319        parentObject = pObj;
320    }
321
322    /**
323     * set a property for the attribute.
324     *
325     * @param key the attribute Map key
326     * @param value the attribute Map value
327     */
328    public void setProperty(String key, Object value) {
329        properties.put(key, value);
330    }
331
332    /**
333     * get a property for a given key.
334     *
335     * @param key the attribute Map key
336     *
337     * @return the property
338     */
339    public Object getProperty(String key) {
340        return properties.get(key);
341    }
342
343    /**
344     * get all property keys.
345     *
346     * @return the Collection of property keys
347     */
348    public Collection<String> getPropertyKeys() {
349        return properties.keySet();
350    }
351
352    /**
353     * Returns the name of the object. For example, "Raster Image #2".
354     *
355     * @return The name of the object.
356     */
357    public final String getAttributeName() {
358        return getName();
359    }
360
361    /**
362     * Retrieves the attribute data from the file.
363     *
364     * @return the attribute data.
365     *
366     * @throws Exception
367     *             if the data can not be retrieved
368     */
369    public final Object getAttributeData() throws Exception, OutOfMemoryError {
370        return getData();
371    }
372
373    /**
374     * Returns the datatype of the attribute.
375     *
376     * @return the datatype of the attribute.
377     */
378    public final Datatype getAttributeDatatype() {
379        return getDatatype();
380    }
381
382    /**
383     * Returns the space type for the attribute. It returns a
384     * negative number if it failed to retrieve the type information from
385     * the file.
386     *
387     * @return the space type for the attribute.
388     */
389    public final int getAttributeSpaceType() {
390        return getSpaceType();
391    }
392
393    /**
394     * Returns the rank (number of dimensions) of the attribute. It returns a
395     * negative number if it failed to retrieve the dimension information from
396     * the file.
397     *
398     * @return the number of dimensions of the attribute.
399     */
400    public final int getAttributeRank() {
401        return getRank();
402    }
403
404    /**
405     * Returns the selected size of the rows and columns of the attribute. It returns a
406     * negative number if it failed to retrieve the size information from
407     * the file.
408     *
409     * @return the selected size of the rows and colums of the attribute.
410     */
411    public final int getAttributePlane() {
412        return (int)getWidth() * (int)getHeight();
413    }
414
415    /**
416     * Returns the array that contains the dimension sizes of the data value of
417     * the attribute. It returns null if it failed to retrieve the dimension
418     * information from the file.
419     *
420     * @return the dimension sizes of the attribute.
421     */
422    public final long[] getAttributeDims() {
423        return getDims();
424    }
425
426    /**
427     * @return true if the data is a single scalar point; otherwise, returns
428     *         false.
429     */
430    public boolean isAttributeScalar() {
431        return isScalar();
432    }
433
434    /**
435     * Not for public use in the future.
436     *
437     * setData() is not safe to use because it changes memory buffer
438     * of the dataset object. Dataset operations such as write/read
439     * will fail if the buffer type or size is changed.
440     *
441     * @param d  the object data -must be an array of Objects
442     */
443    public void setAttributeData(Object d) {
444        setData(d);
445    }
446
447    /**
448     * Writes the memory buffer of this dataset to file.
449     *
450     * @throws Exception if buffer can not be written
451     */
452    public void writeAttribute() throws Exception {
453        write();
454    }
455
456    /**
457     * Writes the given data buffer into this attribute in a file.
458     *
459     * The data buffer is a vector that contains the data values of compound fields. The data is written
460     * into file as one data blob.
461     *
462     * @param buf
463     *            The vector that contains the data values of compound fields.
464     *
465     * @throws Exception
466     *             If there is an error at the library level.
467     */
468    public void writeAttribute(Object buf) throws Exception {
469        write(buf);
470    }
471
472    /**
473     * Returns a string representation of the data value. For
474     * example, "0, 255".
475     *
476     * For a compound datatype, it will be a 1D array of strings with field
477     * members separated by the delimiter. For example,
478     * "{0, 10.5}, {255, 20.0}, {512, 30.0}" is a compound attribute of {int,
479     * float} of three data points.
480     *
481     * @param delimiter
482     *            The delimiter used to separate individual data points. It
483     *            can be a comma, semicolon, tab or space. For example,
484     *            toString(",") will separate data by commas.
485     *
486     * @return the string representation of the data values.
487     */
488    public String toAttributeString(String delimiter) {
489        return toString(delimiter, -1);
490    }
491
492    /**
493     * Returns a string representation of the data value. For
494     * example, "0, 255".
495     *
496     * For a compound datatype, it will be a 1D array of strings with field
497     * members separated by the delimiter. For example,
498     * "{0, 10.5}, {255, 20.0}, {512, 30.0}" is a compound attribute of {int,
499     * float} of three data points.
500     *
501     * @param delimiter
502     *            The delimiter used to separate individual data points. It
503     *            can be a comma, semicolon, tab or space. For example,
504     *            toString(",") will separate data by commas.
505     * @param maxItems
506     *            The maximum number of Array values to return
507     *
508     * @return the string representation of the data values.
509     */
510    public String toAttributeString(String delimiter, int maxItems) {
511        return toString(delimiter, maxItems);
512    }
513}