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Unified Diff: pkg/serialization/lib/src/format.dart

Issue 584473004: Revert "remove serialization. it's moved to github" (Closed) Base URL: https://dart.googlecode.com/svn/branches/bleeding_edge/dart
Patch Set: Created 6 years, 3 months ago
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Index: pkg/serialization/lib/src/format.dart
diff --git a/pkg/serialization/lib/src/format.dart b/pkg/serialization/lib/src/format.dart
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index 0000000000000000000000000000000000000000..791cc83404d64bb227c4cd3c8e42e226f9330595
--- /dev/null
+++ b/pkg/serialization/lib/src/format.dart
@@ -0,0 +1,561 @@
+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 {
+
+ const 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);
+}
+
+/**
+ * This is the most basic format, which provides the internal representation
+ * of the serialization, exposing the Reference objects.
+ */
+class InternalMapFormat extends Format {
+ const InternalMapFormat();
+
+ /**
+ * Generate output for this format from [w] and return it as 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 not 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.
+ */
+ Map<String, dynamic> generateOutput(Writer w) {
+ var result = {
+ "rules" : w.serializedRules(),
+ "data" : w.states,
+ "roots" : w._rootReferences()
+ };
+ return result;
+ }
+
+ /**
+ * Read serialized data written from 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(Map<String, dynamic> topLevel, Reader reader) {
+ var ruleString = topLevel["rules"];
+ reader.readRules(ruleString);
+ reader._data = topLevel["data"];
+ topLevel["roots"] = topLevel["roots"];
+ return topLevel;
+ }
+}
+
+/**
+ * A format that stores the data in maps which can be converted into a JSON
+ * string or passed through an isolate. Note that this consists of maps, but
+ * that they don't follow the original object structure or look like the nested
+ * maps of a [json] representation. They are flat, and [Reference] objects
+ * are converted into a map form that will not make sense to
+ * anything but this format. For simple acyclic JSON that other programs
+ * can read, use [SimpleJsonFormat]. This is the default format, and is
+ * easier to read than the more efficient [SimpleFlatFormat].
+ */
+class SimpleMapFormat extends InternalMapFormat {
+
+ const SimpleMapFormat();
+
+ /**
+ * 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 not 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) {
+ forAllStates(w, (x) => x is Reference, referenceToMap);
+ var result = super.generateOutput(w);
+ result["roots"] = result["roots"].map(
+ (x) => x is Reference ? referenceToMap(x) : x).toList();
+ return result;
+ }
+
+ /**
+ * Convert the data generated by the rules to have maps with the fields
+ * of [Reference] objects instead of the [Reference] so that the structure
+ * can be serialized between isolates and json easily.
+ */
+ void forAllStates(ReaderOrWriter w, bool predicate(value),
+ void transform(value)) {
+ for (var eachRule in w.rules) {
+ var ruleData = w.states[eachRule.number];
+ for (var data in ruleData) {
+ keysAndValues(data).forEach((key, value) {
+ if (predicate(value)) {
+ data[key] = transform(value);
+ }
+ });
+ }
+ }
+ }
+
+ /** Convert the reference to a [json] serializable form. */
+ Map<String, int> referenceToMap(Reference ref) => ref == null ? null :
+ {
+ "__Ref" : 0,
+ "rule" : ref.ruleNumber,
+ "object" : ref.objectNumber
+ };
+
+ /**
+ * Convert the [referenceToMap] form for a reference back to a [Reference]
+ * object.
+ */
+ Reference mapToReference(ReaderOrWriter parent, Map<String, int> ref) =>
+ ref == null ? null : new Reference(parent, ref["rule"], ref["object"]);
+
+ /**
+ * Read serialized data written 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(Map<String, dynamic> topLevel, Reader reader) {
+ super.read(topLevel, reader);
+ forAllStates(reader,
+ (ref) => ref is Map && ref["__Ref"] != null,
+ (ref) => mapToReference(reader, ref));
+ topLevel["roots"] = topLevel["roots"]
+ .map((x) => x is Map<String, int> ? mapToReference(reader, x) : x)
+ .toList();
+ 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 [storeRoundTripInfo] field of the format is set to true, then this
+ * will store the rule number along with the data, allowing reconstruction.
+ */
+class SimpleJsonFormat extends SimpleMapFormat {
+
+ /**
+ * 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 const String RULE = "_rule";
+ static const String RULES = "_rules";
+ static const String DATA = "_data";
+ static const String ROOTS = "_root";
+
+ const 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.
+ */
+ void 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.
+ */
+ void 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.
+ */
+ void 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 [input] 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 const int STORED_AS_LIST = 1;
+ static const int STORED_AS_MAP = 2;
+ static const int STORED_AS_PRIMITIVE = 3;
+
+ const SimpleFlatFormat();
+
+ /**
+ * 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.
+ */
+ void 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.
+ */
+ void 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].
+ */
+ void 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.
+ */
+ List 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.
+ */
+ List 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.
+ */
+ List 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. */
+ Reference 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;
+ }
+}
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