6b4f4b1bab
Deprecate List.fixedLength, add List.filled. Make Iterable.toList and List.from take "growable" argument, defaulting to false. Review URL: https://codereview.chromium.org//12328104 git-svn-id: https://dart.googlecode.com/svn/branches/bleeding_edge/dart@19112 260f80e4-7a28-3924-810f-c04153c831b5
472 lines
16 KiB
Dart
472 lines
16 KiB
Dart
part of serialization;
|
|
|
|
/**
|
|
* An abstract class for serialization formats. Subclasses define how data
|
|
* is read or written to a particular output mechanism.
|
|
*/
|
|
abstract class Format {
|
|
/**
|
|
* Return true if this format stores primitives in their own area and uses
|
|
* references to them (e.g. [SimpleFlatFormat]) and false if primitives
|
|
* are stored directly (e.g. [SimpleJsonFormat], [SimpleMapFormat]).
|
|
*/
|
|
bool get shouldUseReferencesForPrimitives => false;
|
|
|
|
/**
|
|
* Generate output for [w] and return it. The particular form of the output
|
|
* will depend on the format. The format can assume that [w] has data
|
|
* generated by rules in a series of lists, and that each list will contain
|
|
* either primitives (null, bool, num, String), Lists or Maps. The Lists or
|
|
* Maps may contain any of the same things recursively, or may contain
|
|
* Reference objects. For lists and maps the rule will tell us if they can
|
|
* be of variable length or not. The format is allowed to operate
|
|
* destructively on the rule data.
|
|
*/
|
|
generateOutput(Writer w);
|
|
|
|
/**
|
|
* Read the data from [input] in the context of [reader] and return it as a
|
|
* Map with entries for "roots", "data" and "rules", which the reader knows
|
|
* how to interpret. The type of [input] will depend on the particular format.
|
|
*/
|
|
Map<String, dynamic> read(input, Reader reader);
|
|
}
|
|
|
|
/**
|
|
* A format that stores the data in maps which are converted into a JSON
|
|
* string. Note that the maps aren't nested, and it handles cyclic references
|
|
* by converting object references to [Reference] objects. If you want simple
|
|
* acyclic JSON look at [SimpleJsonFormat].
|
|
*/
|
|
class SimpleMapFormat extends Format {
|
|
|
|
/**
|
|
* Generate output for this format from [w] and return it as a String which
|
|
* is the [json] representation of a nested Map structure. The top level has
|
|
* 3 fields, "rules" which may hold a definition of the rules used,
|
|
* "data" which holds the serialized data, and "roots", which holds
|
|
* [Reference] objects indicating the root objects. Note that roots are
|
|
* necessary because the data is organized in the same way as the object
|
|
* structure, it's a list of lists holding self-contained maps which only
|
|
* refer to other parts via [Reference] objects.
|
|
* This effectively defines a custom JSON serialization format, although
|
|
* the details of the format vary depending which rules were used.
|
|
*/
|
|
Map<String, dynamic> generateOutput(Writer w) {
|
|
var result = {
|
|
"rules" : w.serializedRules(),
|
|
"data" : w.states,
|
|
"roots" : w._rootReferences()
|
|
};
|
|
return result;
|
|
}
|
|
|
|
/**
|
|
* Read a [json] compatible representation of serialized data in this format
|
|
* and return the nested Map representation described in [generateOutput]. If
|
|
* the data also includes rule definitions, then these will replace the rules
|
|
* in the [Serialization] for [reader].
|
|
*/
|
|
Map<String, dynamic> read(topLevel, Reader reader) {
|
|
var ruleString = topLevel["rules"];
|
|
reader.readRules(ruleString);
|
|
return topLevel;
|
|
}
|
|
}
|
|
|
|
/**
|
|
* A format for "normal" [json] representation of objects. It stores
|
|
* the fields of the objects as nested maps, and doesn't allow cycles. This can
|
|
* be useful in talking to existing APIs that expect [json] format data. The
|
|
* output will be either a simple object (string, num, bool), a List, or a Map,
|
|
* with nesting of those.
|
|
* Note that since the classes of objects aren't normally stored, this isn't
|
|
* enough information to read back the objects. However, if the
|
|
* If the [storeRoundTripData] field of the format is set to true, then this
|
|
* will store the rule number along with the data, allowing reconstruction.
|
|
*/
|
|
class SimpleJsonFormat extends Format {
|
|
|
|
/**
|
|
* Indicate if we should store rule numbers with map/list data so that we
|
|
* will know how to reconstruct it with a read operation. If we don't, this
|
|
* will be more compliant with things that expect known format JSON as input,
|
|
* but we won't be able to read back the objects.
|
|
*/
|
|
final bool storeRoundTripInfo;
|
|
|
|
/**
|
|
* If we store the rule numbers, what key should we use to store them.
|
|
*/
|
|
static final String RULE = "_rule";
|
|
static final String RULES = "_rules";
|
|
static final String DATA = "_data";
|
|
static final String ROOTS = "_root";
|
|
|
|
SimpleJsonFormat({this.storeRoundTripInfo : false});
|
|
|
|
/**
|
|
* Generate output for this format from [w] and return it as
|
|
* the [json] representation of a nested Map structure.
|
|
*/
|
|
generateOutput(Writer w) {
|
|
jsonify(w);
|
|
var root = w._rootReferences().first;
|
|
if (root is Reference) root = w.stateForReference(root);
|
|
if (w.selfDescribing && storeRoundTripInfo) {
|
|
root = new Map()
|
|
..[RULES] = w.serializedRules()
|
|
..[DATA] = root;
|
|
}
|
|
return root;
|
|
}
|
|
|
|
/**
|
|
* Convert the data generated by the rules to have nested maps instead
|
|
* of Reference objects and to add rule numbers if [storeRoundTripInfo]
|
|
* is true.
|
|
*/
|
|
jsonify(Writer w) {
|
|
for (var eachRule in w.rules) {
|
|
var ruleData = w.states[eachRule.number];
|
|
jsonifyForRule(ruleData, w, eachRule);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* For a particular [rule] modify the [ruleData] to conform to this format.
|
|
*/
|
|
jsonifyForRule(List ruleData, Writer w, SerializationRule rule) {
|
|
for (var i = 0; i < ruleData.length; i++) {
|
|
var each = ruleData[i];
|
|
if (each is List) {
|
|
jsonifyEntry(each, w);
|
|
if (storeRoundTripInfo) ruleData[i].add(rule.number);
|
|
} else if (each is Map) {
|
|
jsonifyEntry(each, w);
|
|
if (storeRoundTripInfo) each[RULE] = rule.number;
|
|
}
|
|
}
|
|
}
|
|
|
|
/**
|
|
* For one particular entry, which is either a Map or a List, update it
|
|
* to turn References into a nested List/Map.
|
|
*/
|
|
jsonifyEntry(map, Writer w) {
|
|
// Note, if this is a Map, and the key might be a reference, we need to
|
|
// bend over backwards to avoid concurrent modifications. Non-string keys
|
|
// won't actually work if we try to write this to json, but might happen
|
|
// if e.g. sending between isolates.
|
|
var updates = new Map();
|
|
keysAndValues(map).forEach((key, value) {
|
|
if (value is Reference) updates[key] = w.stateForReference(value);
|
|
});
|
|
updates.forEach((k, v) => map[k] = v);
|
|
}
|
|
|
|
/**
|
|
* Read serialized data saved in this format, which should look like
|
|
* either a simple type, a List or a Map and return the Map
|
|
* representation that the reader expects, with top-level
|
|
* entries for "rules", "data", and "roots". Nested lists/maps will be
|
|
* converted into Reference objects. Note that if the data was not written
|
|
* with [storeRoundTripInfo] true this will fail.
|
|
*/
|
|
Map<String, dynamic> read(data, Reader reader) {
|
|
var result = new Map();
|
|
// Check the case of having been written without additional data and
|
|
// read as if it had been written with storeRoundTripData set.
|
|
if (reader.selfDescribing && !(data.containsKey(DATA))) {
|
|
throw new SerializationException("Missing $DATA entry, "
|
|
"may mean this was written and read with different values "
|
|
"of selfDescribing.");
|
|
}
|
|
// If we are self-describing, we should have separate rule and data
|
|
// sections. If not, we assume that we have just the data at the top level.
|
|
var rules = reader.selfDescribing ? data[RULES] : null;
|
|
var actualData = reader.selfDescribing ? data[DATA] : data;
|
|
reader.readRules(rules);
|
|
var ruleData = new List.generate(reader.rules.length, (_) => []);
|
|
var top = recursivelyFixUp(actualData, reader, ruleData);
|
|
result["data"] = ruleData;
|
|
result["roots"] = [top];
|
|
return result;
|
|
}
|
|
|
|
/**
|
|
* Convert nested references in [data] into [Reference] objects.
|
|
*/
|
|
recursivelyFixUp(input, Reader r, List result) {
|
|
var data = input;
|
|
if (isPrimitive(data)) {
|
|
result[r._primitiveRule().number].add(data);
|
|
return data;
|
|
}
|
|
var ruleNumber;
|
|
// If we've added the rule number on as the last item in a list we have
|
|
// to get rid of it or it will be interpreted as extra data. For a map
|
|
// the library will be ok, but we need to get rid of the extra key before
|
|
// the data is shown to the user, so we destructively modify.
|
|
if (data is List) {
|
|
ruleNumber = data.last;
|
|
data = data.take(data.length - 1).toList();
|
|
} else if (data is Map) {
|
|
ruleNumber = data.remove(RULE);
|
|
} else {
|
|
throw new SerializationException("Invalid data format");
|
|
}
|
|
// Do not use map or other lazy operations for this. They do not play
|
|
// well with a function that destructively modifies its arguments.
|
|
var newData = mapValues(data, (each) => recursivelyFixUp(each, r, result));
|
|
result[ruleNumber].add(newData);
|
|
return new Reference(r, ruleNumber, result[ruleNumber].length - 1);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Writes to a simple mostly-flat format. Details are subject to change.
|
|
* Right now this produces a List containing null, num, and String. This is
|
|
* more space-efficient than the map formats, but much less human-readable.
|
|
* Simple usage is to turn this into JSON for transmission.
|
|
*/
|
|
class SimpleFlatFormat extends Format {
|
|
bool get shouldUseReferencesForPrimitives => true;
|
|
|
|
/**
|
|
* For each rule we store data to indicate whether it will be reconstructed
|
|
* as a primitive, a list or a map.
|
|
*/
|
|
static final int STORED_AS_LIST = 1;
|
|
static final int STORED_AS_MAP = 2;
|
|
static final int STORED_AS_PRIMITIVE = 3;
|
|
|
|
/**
|
|
* Generate output for this format from [w]. This will return a List with
|
|
* three entries, corresponding to the "rules", "data", and "roots" from
|
|
* [SimpleMapFormat]. The data is stored as a single List containing
|
|
* primitives.
|
|
*/
|
|
List generateOutput(Writer w) {
|
|
var result = new List(3);
|
|
var flatData = [];
|
|
for (var eachRule in w.rules) {
|
|
var ruleData = w.states[eachRule.number];
|
|
flatData.add(ruleData.length);
|
|
writeStateInto(eachRule, ruleData, flatData);
|
|
}
|
|
result[0] = w.serializedRules();
|
|
result[1] = flatData;
|
|
result[2] = [];
|
|
w._rootReferences().forEach((x) => x.writeToList(result[2]));
|
|
return result;
|
|
}
|
|
|
|
/**
|
|
* Writes the data from [rule] into the [target] list.
|
|
*/
|
|
void writeStateInto(SerializationRule rule, List ruleData, List target) {
|
|
if (!ruleData.isEmpty) {
|
|
var sample = ruleData.first;
|
|
if (rule.storesStateAsLists || sample is List) {
|
|
writeLists(rule, ruleData, target);
|
|
} else if (rule.storesStateAsMaps || sample is Map) {
|
|
writeMaps(rule, ruleData, target);
|
|
} else if (rule.storesStateAsPrimitives || isPrimitive(sample)) {
|
|
writeObjects(ruleData, target);
|
|
} else {
|
|
throw new SerializationException("Invalid data format");
|
|
}
|
|
} else {
|
|
// If there is no data, write a zero for the length.
|
|
target.add(0);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Write [entries], which contains Lists. Either the lists are variable
|
|
* length, in which case we add a length field, or they are fixed length, in
|
|
* which case we don't, and assume the [rule] will know how to read the
|
|
* right length when we read it back. We expect everything in the list to be
|
|
* a reference, which is stored as two numbers.
|
|
*/
|
|
writeLists(SerializationRule rule, List<List> entries, List target) {
|
|
target.add(STORED_AS_LIST);
|
|
for (var eachEntry in entries) {
|
|
if (rule.hasVariableLengthEntries) {
|
|
target.add(eachEntry.length);
|
|
}
|
|
for (var eachReference in eachEntry) {
|
|
writeReference(eachReference, target);
|
|
}
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Write [entries], which contains Maps. Either the Maps are variable
|
|
* length, in which case we add a length field, or they are fixed length, in
|
|
* which case we don't, and assume the [rule] will know how to read the
|
|
* right length when we read it back. Then we write alternating keys and
|
|
* values. We expect the values to be references, which we store as
|
|
* two numbers.
|
|
*/
|
|
writeMaps(SerializationRule rule, List<Map> entries, List target) {
|
|
target.add(STORED_AS_MAP);
|
|
for (var eachEntry in entries) {
|
|
if (rule.hasVariableLengthEntries) {
|
|
target.add(eachEntry.length);
|
|
}
|
|
eachEntry.forEach((key, value) {
|
|
writeReference(key, target);
|
|
writeReference(value, target);
|
|
});
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Write [entries], which contains simple objects which we can put directly
|
|
* into [target].
|
|
*/
|
|
writeObjects(List entries, List target) {
|
|
target.add(STORED_AS_PRIMITIVE);
|
|
for (var each in entries) {
|
|
if (!isPrimitive(each)) throw new SerializationException("Invalid data");
|
|
}
|
|
target.addAll(entries);
|
|
}
|
|
|
|
/**
|
|
* Write [eachRef] to [target]. It will be written as two ints. If [eachRef]
|
|
* is null it will be written as two nulls.
|
|
*/
|
|
void writeReference(Reference eachRef, List target) {
|
|
// TODO(alanknight): Writing nulls is problematic in a real flat format.
|
|
if (eachRef == null) {
|
|
target..add(null)..add(null);
|
|
} else {
|
|
eachRef.writeToList(target);
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Read the data from [rawInput] in the context of [r] and return it as a
|
|
* Map with entries for "roots", "data" and "rules", which the reader knows
|
|
* how to interpret. We expect [rawInput] to have been generated from this
|
|
* format.
|
|
*/
|
|
Map<String, dynamic> read(List rawInput, Reader r) {
|
|
// TODO(alanknight): It's annoying to have to pass the reader around so
|
|
// much, consider having the format be specific to a particular
|
|
// serialization operation along with the reader and having it as a field.
|
|
var input = {};
|
|
input["rules"] = rawInput[0];
|
|
r.readRules(input["rules"]);
|
|
|
|
var flatData = rawInput[1];
|
|
var stream = flatData.iterator;
|
|
var tempData = new List(r.rules.length);
|
|
for (var eachRule in r.rules) {
|
|
tempData[eachRule.number] = readRuleDataFrom(stream, eachRule, r);
|
|
}
|
|
input["data"] = tempData;
|
|
|
|
var roots = [];
|
|
var rootsAsInts = rawInput[2].iterator;
|
|
do {
|
|
roots.add(nextReferenceFrom(rootsAsInts, r));
|
|
} while (rootsAsInts.current != null);
|
|
|
|
input["roots"] = roots;
|
|
return input;
|
|
}
|
|
|
|
/**
|
|
* Read the data for [rule] from [input] and return it.
|
|
*/
|
|
readRuleDataFrom(Iterator input, SerializationRule rule, Reader r) {
|
|
var numberOfEntries = _next(input);
|
|
var entryType = _next(input);
|
|
if (entryType == STORED_AS_LIST) {
|
|
return readLists(input, rule, numberOfEntries, r);
|
|
}
|
|
if (entryType == STORED_AS_MAP) {
|
|
return readMaps(input, rule, numberOfEntries, r);
|
|
}
|
|
if (entryType == STORED_AS_PRIMITIVE) {
|
|
return readPrimitives(input, rule, numberOfEntries);
|
|
}
|
|
if (numberOfEntries == 0) {
|
|
return [];
|
|
} else {
|
|
throw new SerializationException("Invalid data in serialization");
|
|
}
|
|
}
|
|
|
|
/**
|
|
* Read data for [rule] from [input] with [length] number of entries,
|
|
* creating lists from the results.
|
|
*/
|
|
readLists(Iterator input, SerializationRule rule, int length, Reader r) {
|
|
var ruleData = [];
|
|
for (var i = 0; i < length; i++) {
|
|
var subLength =
|
|
rule.hasVariableLengthEntries ? _next(input) : rule.dataLength;
|
|
var subList = [];
|
|
ruleData.add(subList);
|
|
for (var j = 0; j < subLength; j++) {
|
|
subList.add(nextReferenceFrom(input, r));
|
|
}
|
|
}
|
|
return ruleData;
|
|
}
|
|
|
|
/**
|
|
* Read data for [rule] from [input] with [length] number of entries,
|
|
* creating maps from the results.
|
|
*/
|
|
readMaps(Iterator input, SerializationRule rule, int length, Reader r) {
|
|
var ruleData = [];
|
|
for (var i = 0; i < length; i++) {
|
|
var subLength =
|
|
rule.hasVariableLengthEntries ? _next(input) : rule.dataLength;
|
|
var map = new Map();
|
|
ruleData.add(map);
|
|
for (var j = 0; j < subLength; j++) {
|
|
var key = nextReferenceFrom(input, r);
|
|
var value = nextReferenceFrom(input, r);
|
|
map[key] = value;
|
|
}
|
|
}
|
|
return ruleData;
|
|
}
|
|
|
|
/**
|
|
* Read data for [rule] from [input] with [length] number of entries,
|
|
* treating the data as primitives that can be returned directly.
|
|
*/
|
|
readPrimitives(Iterator input, SerializationRule rule, int length) {
|
|
var ruleData = [];
|
|
for (var i = 0; i < length; i++) {
|
|
ruleData.add(_next(input));
|
|
}
|
|
return ruleData;
|
|
}
|
|
|
|
/** Read the next Reference from the input. */
|
|
nextReferenceFrom(Iterator input, Reader r) {
|
|
var a = _next(input);
|
|
var b = _next(input);
|
|
if (a == null) {
|
|
return null;
|
|
} else {
|
|
return new Reference(r, a, b);
|
|
}
|
|
}
|
|
|
|
/** Return the next element from the input. */
|
|
_next(Iterator input) {
|
|
input.moveNext();
|
|
return input.current;
|
|
}
|
|
}
|