private void fillHelp() {
this.help = new IcedHashMapGeneric.IcedHashMapStringString();
try {
Field[] dest_fields = Weaver.getWovenFields(this.getClass());
for (Field f : dest_fields) {
fillHelp(f);
}
} catch (Exception e) {
Log.warn(e);
}
}
/**
* Copy properties "of the same name" from one POJO to the other. If the fields are named
* consistently (both sides have fields named "_foo" and/or "bar") this acts like Apache Commons
* PojoUtils.copyProperties(). If one side has leading underscores and the other does not then the
* names are conformed according to the field_naming parameter.
*
* @param dest Destination POJO
* @param origin Origin POJO
* @param field_naming Are the fields named consistently, or does one side have underscores?
* @param skip_fields Array of origin or destination field names to skip
* @param only_fields Array of origin or destination field names to include; ones not in this list
* will be skipped
*/
public static void copyProperties(
Object dest,
Object origin,
FieldNaming field_naming,
String[] skip_fields,
String[] only_fields) {
if (null == dest || null == origin) return;
Field[] dest_fields = Weaver.getWovenFields(dest.getClass());
Field[] orig_fields = Weaver.getWovenFields(origin.getClass());
for (Field orig_field : orig_fields) {
String origin_name = orig_field.getName();
if (skip_fields != null & ArrayUtils.contains(skip_fields, origin_name)) continue;
if (only_fields != null & !ArrayUtils.contains(only_fields, origin_name)) continue;
String dest_name = null;
if (field_naming == FieldNaming.CONSISTENT) {
dest_name = origin_name;
} else if (field_naming == FieldNaming.DEST_HAS_UNDERSCORES) {
dest_name = "_" + origin_name;
} else if (field_naming == FieldNaming.ORIGIN_HAS_UNDERSCORES) {
dest_name = origin_name.substring(1);
}
if (skip_fields != null & ArrayUtils.contains(skip_fields, dest_name)) continue;
if (only_fields != null & !ArrayUtils.contains(only_fields, dest_name)) continue;
try {
Field dest_field = null;
for (Field fd : dest_fields) {
if (fd.getName().equals(dest_name)) {
dest_field = fd;
break;
}
}
if (dest_field != null) {
dest_field.setAccessible(true);
orig_field.setAccessible(true);
// Log.info("PojoUtils.copyProperties, origin field: " + orig_field + "; destination
// field: " + dest_field);
if (null == orig_field.get(origin)) {
//
// Assigning null to dest.
//
dest_field.set(dest, null);
} else if (dest_field.getType().isArray()
&& orig_field.getType().isArray()
&& (dest_field.getType().getComponentType()
!= orig_field.getType().getComponentType())) {
//
// Assigning an array to another array.
//
// You can't use reflection to set an int[] with an Integer[]. Argh.
// TODO: other types of arrays. . .
if (dest_field.getType().getComponentType() == double.class
&& orig_field.getType().getComponentType() == Double.class) {
//
// Assigning an Double[] to an double[]
//
double[] copy = (double[]) orig_field.get(origin);
dest_field.set(dest, copy);
} else if (dest_field.getType().getComponentType() == Double.class
&& orig_field.getType().getComponentType() == double.class) {
//
// Assigning an double[] to an Double[]
//
Double[] copy = (Double[]) orig_field.get(origin);
dest_field.set(dest, copy);
} else if (dest_field.getType().getComponentType() == int.class
&& orig_field.getType().getComponentType() == Integer.class) {
//
// Assigning an Integer[] to an int[]
//
int[] copy = (int[]) orig_field.get(origin);
dest_field.set(dest, copy);
} else if (dest_field.getType().getComponentType() == Integer.class
&& orig_field.getType().getComponentType() == int.class) {
//
// Assigning an int[] to an Integer[]
//
Integer[] copy = (Integer[]) orig_field.get(origin);
dest_field.set(dest, copy);
} else if (Schema.class.isAssignableFrom(dest_field.getType().getComponentType())
&& (Schema.getImplClass(
(Class<? extends Schema>) dest_field.getType().getComponentType()))
.isAssignableFrom(orig_field.getType().getComponentType())) {
//
// Assigning an array of impl fields to an array of schema fields, e.g. a
// DeepLearningParameters[] into a DeepLearningParametersV2[]
//
Class dest_component_class = dest_field.getType().getComponentType();
Schema[] translation =
(Schema[])
Array.newInstance(
dest_component_class, Array.getLength(orig_field.get(origin)));
int i = 0;
int version = ((Schema) dest).getSchemaVersion();
// Look up the schema for each element of the array; if not found fall back to the
// schema for the base class.
for (Iced impl : ((Iced[]) orig_field.get(origin))) {
if (null == impl) {
translation[i++] = null;
} else {
Schema s = null;
try {
s = Schema.schema(version, impl);
} catch (H2ONotFoundArgumentException e) {
s = ((Schema) dest_field.getType().getComponentType().newInstance());
}
translation[i++] = s.fillFromImpl(impl);
}
}
dest_field.set(dest, translation);
} else if (Schema.class.isAssignableFrom(orig_field.getType().getComponentType())
&& Iced.class.isAssignableFrom(dest_field.getType().getComponentType())) {
//
// Assigning an array of schema fields to an array of impl fields, e.g. a
// DeepLearningParametersV2[] into a DeepLearningParameters[]
//
// We can't check against the actual impl class I, because we can't instantiate the
// schema base classes to get the impl class from an instance:
// dest_field.getType().getComponentType().isAssignableFrom(((Schema)f.getType().getComponentType().newInstance()).getImplClass())) {
Class dest_component_class = dest_field.getType().getComponentType();
Iced[] translation =
(Iced[])
Array.newInstance(
dest_component_class, Array.getLength(orig_field.get(origin)));
int i = 0;
for (Schema s : ((Schema[]) orig_field.get(origin))) {
translation[i++] = s.createImpl();
}
dest_field.set(dest, translation);
} else {
throw H2O.fail(
"Don't know how to cast an array of: "
+ orig_field.getType().getComponentType()
+ " to an array of: "
+ dest_field.getType().getComponentType());
}
// end of array handling
} else if (dest_field.getType() == Key.class
&& Keyed.class.isAssignableFrom(orig_field.getType())) {
//
// Assigning a Keyed (e.g., a Frame or Model) to a Key.
//
dest_field.set(dest, ((Keyed) orig_field.get(origin))._key);
} else if (orig_field.getType() == Key.class
&& Keyed.class.isAssignableFrom(dest_field.getType())) {
//
// Assigning a Key (for e.g., a Frame or Model) to a Keyed (e.g., a Frame or Model).
//
Value v = DKV.get((Key) orig_field.get(origin));
dest_field.set(dest, (null == v ? null : v.get()));
} else if (KeyV3.class.isAssignableFrom(dest_field.getType())
&& Keyed.class.isAssignableFrom(orig_field.getType())) {
//
// Assigning a Keyed (e.g., a Frame or Model) to a KeyV1.
//
dest_field.set(
dest,
KeyV3.make(
((Class<? extends KeyV3>) dest_field.getType()),
((Keyed) orig_field.get(origin))._key));
} else if (KeyV3.class.isAssignableFrom(orig_field.getType())
&& Keyed.class.isAssignableFrom(dest_field.getType())) {
//
// Assigning a KeyV1 (for e.g., a Frame or Model) to a Keyed (e.g., a Frame or Model).
//
KeyV3 k = (KeyV3) orig_field.get(origin);
Value v = DKV.get(Key.make(k.name));
dest_field.set(dest, (null == v ? null : v.get()));
} else if (KeyV3.class.isAssignableFrom(dest_field.getType())
&& Key.class.isAssignableFrom(orig_field.getType())) {
//
// Assigning a Key to a KeyV1.
//
dest_field.set(
dest,
KeyV3.make(
((Class<? extends KeyV3>) dest_field.getType()), (Key) orig_field.get(origin)));
} else if (KeyV3.class.isAssignableFrom(orig_field.getType())
&& Key.class.isAssignableFrom(dest_field.getType())) {
//
// Assigning a KeyV1 to a Key.
//
KeyV3 k = (KeyV3) orig_field.get(origin);
dest_field.set(dest, (null == k.name ? null : Key.make(k.name)));
} else if (dest_field.getType() == Pattern.class
&& String.class.isAssignableFrom(orig_field.getType())) {
//
// Assigning a String to a Pattern.
//
dest_field.set(dest, Pattern.compile((String) orig_field.get(origin)));
} else if (orig_field.getType() == Pattern.class
&& String.class.isAssignableFrom(dest_field.getType())) {
//
// We are assigning a Pattern to a String.
//
dest_field.set(dest, orig_field.get(origin).toString());
} else if (dest_field.getType() == FrameV3.ColSpecifierV3.class
&& String.class.isAssignableFrom(orig_field.getType())) {
//
// Assigning a String to a ColSpecifier. Note that we currently support only the
// colname, not a frame name too.
//
dest_field.set(dest, new FrameV3.ColSpecifierV3((String) orig_field.get(origin)));
} else if (orig_field.getType() == FrameV3.ColSpecifierV3.class
&& String.class.isAssignableFrom(dest_field.getType())) {
//
// We are assigning a ColSpecifierV2 to a String. The column_name gets copied.
//
dest_field.set(dest, ((FrameV3.ColSpecifierV3) orig_field.get(origin)).column_name);
} else if (Enum.class.isAssignableFrom(dest_field.getType())
&& String.class.isAssignableFrom(orig_field.getType())) {
//
// Assigning a String into an enum field.
//
Class<Enum> dest_class = (Class<Enum>) dest_field.getType();
dest_field.set(dest, Enum.valueOf(dest_class, (String) orig_field.get(origin)));
} else if (Enum.class.isAssignableFrom(orig_field.getType())
&& String.class.isAssignableFrom(dest_field.getType())) {
//
// Assigning an enum field into a String.
//
Object o = orig_field.get(origin);
dest_field.set(dest, (o == null ? null : o.toString()));
} else if (Schema.class.isAssignableFrom(dest_field.getType())
&& Schema.getImplClass((Class<? extends Schema>) dest_field.getType())
.isAssignableFrom(orig_field.getType())) {
//
// Assigning an impl field into a schema field, e.g. a DeepLearningParameters into a
// DeepLearningParametersV2.
//
dest_field.set(
dest,
Schema.schema(
/* ((Schema)dest).getSchemaVersion() TODO: remove HACK!! */ 3,
(Class<? extends Iced>) orig_field.get(origin).getClass())
.fillFromImpl((Iced) orig_field.get(origin)));
} else if (Schema.class.isAssignableFrom(orig_field.getType())
&& Schema.getImplClass((Class<? extends Schema>) orig_field.getType())
.isAssignableFrom(dest_field.getType())) {
//
// Assigning a schema field into an impl field, e.g. a DeepLearningParametersV2 into a
// DeepLearningParameters.
//
Schema s = ((Schema) orig_field.get(origin));
dest_field.set(dest, s.fillImpl(s.createImpl()));
} else if ((Schema.class.isAssignableFrom(dest_field.getType())
&& Key.class.isAssignableFrom(orig_field.getType()))) {
//
// Assigning an impl field fetched via a Key into a schema field, e.g. a
// DeepLearningParameters into a DeepLearningParametersV2.
// Note that unlike the cases above we don't know the type of the impl class until we
// fetch in the body of the if.
//
Key origin_key = (Key) orig_field.get(origin);
Value v = DKV.get(origin_key);
if (null == v || null == v.get()) {
dest_field.set(dest, null);
} else {
if (((Schema) dest_field.get(dest))
.getImplClass()
.isAssignableFrom(v.get().getClass())) {
Schema s = ((Schema) dest_field.get(dest));
dest_field.set(
dest,
Schema.schema(s.getSchemaVersion(), s.getImplClass()).fillFromImpl(v.get()));
} else {
Log.err(
"Can't fill Schema of type: "
+ dest_field.getType()
+ " with value of type: "
+ v.getClass()
+ " fetched from Key: "
+ origin_key);
dest_field.set(dest, null);
}
}
} else if (Schema.class.isAssignableFrom(orig_field.getType())
&& Keyed.class.isAssignableFrom(dest_field.getType())) {
//
// Assigning a schema field into a Key field, e.g. a DeepLearningV2 into a
// (DeepLearningParameters) key.
//
Schema s = ((Schema) orig_field.get(origin));
dest_field.set(dest, ((Keyed) s.fillImpl(s.createImpl()))._key);
} else {
//
// Normal case: not doing any type conversion.
//
dest_field.set(dest, orig_field.get(origin));
}
}
} catch (IllegalAccessException e) {
Log.err(
"Illegal access exception trying to copy field: "
+ origin_name
+ " of class: "
+ origin.getClass()
+ " to field: "
+ dest_name
+ " of class: "
+ dest.getClass());
} catch (InstantiationException e) {
Log.err(
"Instantiation exception trying to copy field: "
+ origin_name
+ " of class: "
+ origin.getClass()
+ " to field: "
+ dest_name
+ " of class: "
+ dest.getClass());
}
}
}