public void parseGroup(Group g) throws Hdf5Exception, EndOfSequenceException {
startGroup(g);
java.util.List members = g.getMemberList();
// NOTE: parsing contents twice to ensure subgroups are handled before datasets
// This is mainly because synapse_props groups will need to be parsed before dataset of
// connections
for (int j = 0; j < members.size(); j++) {
HObject obj = (HObject) members.get(j);
if (obj instanceof Group) {
Group subGroup = (Group) obj;
logger.logComment("--------- Found a sub group: " + subGroup.getName());
parseGroup(subGroup);
}
}
for (int j = 0; j < members.size(); j++) {
HObject obj = (HObject) members.get(j);
if (obj instanceof Dataset) {
Dataset ds = (Dataset) obj;
logger.logComment("Found a dataset: " + ds.getName());
dataSet(ds);
}
}
endGroup(g);
}
public void load() throws IOException {
File file = getFile();
if (file.exists()) {
JsonObject rootObject = JSON_PARSER.parse(new FileReader(file)).getAsJsonObject();
for (JsonElement element : rootObject.getAsJsonArray("players")) {
Player player = new Player(element.getAsJsonObject());
playerDB.put(player.getName(), player);
}
for (JsonElement element : rootObject.getAsJsonArray("groups")) {
Group group = new Group(element.getAsJsonObject());
groupDB.put(group.getName(), group);
}
} else {
//noinspection ResultOfMethodCallIgnored
file.createNewFile();
JsonObject rootObject = new JsonObject();
rootObject.add("players", new JsonArray());
rootObject.add("groups", new JsonArray());
BufferedWriter bw = new BufferedWriter(new FileWriter(file));
bw.write(GSON.toJson(rootObject));
bw.close();
}
}
protected void addPropertiesWithPrefix(Properties properties, Group group) {
if (properties != null) {
if (group != null) {
String prefix = group.getName() + ".";
Properties suffixProperties = group.getProperties();
addPropertiesWithPrefix(properties, prefix, suffixProperties);
}
}
}
public void endGroup(Group g) throws Hdf5Exception {
logger.logComment("----- Going out of a group: " + g.getFullName());
if (g.getName().equals(NetworkMLConstants.POPULATIONS_ELEMENT)) {
inPopulations = false;
} else if (g.getName().equals(NetworkMLConstants.PROJECTIONS_ELEMENT)) {
inProjections = false;
} else if (g.getName().equals(NetworkMLConstants.INPUTS_ELEMENT)) {
inInputs = false;
} else if (g.getName().equals(NetworkMLConstants.INPUT_ELEMENT) && inInputs) {
currentInput = null;
} else if (g.getName().startsWith(NetworkMLConstants.POPULATION_ELEMENT) && inPopulations) {
currentCellGroup = null;
} else if (g.getName().startsWith(NetworkMLConstants.PROJECTION_ELEMENT) && inProjections) {
currentNetConn = null;
globConnProps = new ArrayList<ConnSpecificProps>();
} else if (g.getName().startsWith(NetworkMLConstants.CONNECTION_ELEMENT)) {
localConnProps = new ArrayList<ConnSpecificProps>();
localAPDelay = 0;
}
}
public void startGroup(Group g) throws Hdf5Exception {
logger.logComment("----- Going into a group: " + g.getFullName());
ArrayList<Attribute> attrs = Hdf5Utils.parseGroupForAttributes(g);
for (Attribute attribute : attrs) {
// attribute.
logger.logComment(
"Group: "
+ g.getName()
+ " has attribute: "
+ attribute.getName()
+ " = "
+ Hdf5Utils.getFirstStringValAttr(attrs, attribute.getName()));
}
if (g.getName().equals(NetworkMLConstants.ROOT_ELEMENT)) {
logger.logComment("Found the main group");
String simConfigName =
Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.NC_SIM_CONFIG);
if (simConfigName != null) this.foundSimConfig = simConfigName;
String randomSeed =
Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.NC_NETWORK_GEN_RAND_SEED);
if (randomSeed != null) this.foundRandomSeed = Long.parseLong(randomSeed);
} else if (g.getName().equals(NetworkMLConstants.POPULATIONS_ELEMENT)) {
logger.logComment("Found the pops group");
inPopulations = true;
} else if (g.getName().startsWith(NetworkMLConstants.POPULATION_ELEMENT) && inPopulations) {
String name = Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.POP_NAME_ATTR);
logger.logComment("Found a population: " + name);
currentCellGroup = name;
} else if (g.getName().equals(NetworkMLConstants.PROJECTIONS_ELEMENT)) {
logger.logComment("Found the projections group");
inProjections = true;
String units = Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.UNITS_ATTR);
projUnitSystem = UnitConverter.getUnitSystemIndex(units);
} else if (g.getName().startsWith(NetworkMLConstants.PROJECTION_ELEMENT) && inProjections) {
String name = Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.PROJ_NAME_ATTR);
String source = Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.SOURCE_ATTR);
String target = Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.TARGET_ATTR);
logger.logComment("Found a projection: " + name + " from " + source + " to " + target);
if (!project.morphNetworkConnectionsInfo.isValidSimpleNetConn(name)
&& !project.volBasedConnsInfo.isValidVolBasedConn(name)) {
throw new Hdf5Exception(
"Error: there is a network connection with name: "
+ name
+ " specified in "
+ "that file, but no such NetConn exists in the project. Add one to allow import of this file");
}
/* TODO: Add checks on source & target!!
*/
if (project.morphNetworkConnectionsInfo.isValidSimpleNetConn(name)) {
// if (project.morphNetworkConnectionsInfo)
}
currentNetConn = name;
} else if (g.getName().startsWith(NetworkMLConstants.SYN_PROPS_ELEMENT + "_")
&& inProjections) {
String name = Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.SYN_TYPE_ATTR);
ConnSpecificProps cp = new ConnSpecificProps(name);
String internalDelay =
Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.INTERNAL_DELAY_ATTR);
if (internalDelay != null)
cp.internalDelay =
(float)
UnitConverter.getTime(
Float.parseFloat(internalDelay),
projUnitSystem,
UnitConverter.NEUROCONSTRUCT_UNITS);
// Lump them in to the internal delay...
String preDelay = Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.PRE_DELAY_ATTR);
if (preDelay != null)
cp.internalDelay =
cp.internalDelay
+ (float)
UnitConverter.getTime(
Float.parseFloat(preDelay),
projUnitSystem,
UnitConverter.NEUROCONSTRUCT_UNITS);
String postDelay = Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.POST_DELAY_ATTR);
if (postDelay != null)
cp.internalDelay =
cp.internalDelay
+ (float)
UnitConverter.getTime(
Float.parseFloat(postDelay),
projUnitSystem,
UnitConverter.NEUROCONSTRUCT_UNITS);
cp.weight =
Float.parseFloat(Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.WEIGHT_ATTR));
String propDelay = Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.PROP_DELAY_ATTR);
if (propDelay != null)
globAPDelay =
(float)
UnitConverter.getTime(
Float.parseFloat(propDelay),
projUnitSystem,
UnitConverter.NEUROCONSTRUCT_UNITS);
logger.logComment("Found: " + cp);
globConnProps.add(cp);
} else if (g.getName().equals(NetworkMLConstants.INPUTS_ELEMENT)) {
logger.logComment("Found the Inputs group");
inInputs = true;
String units = Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.UNITS_ATTR);
inputUnitSystem = UnitConverter.getUnitSystemIndex(units);
} else if (g.getName().startsWith(NetworkMLConstants.INPUT_ELEMENT) && inInputs) {
// The table of input sites is within the input group so get sites from here
String inputName = g.getName().substring(6);
// String inputName = Hdf5Utils.getFirstStringValAttr(attrs,
// NetworkMLConstants.INPUT_ELEMENT);
logger.logComment("Found an Input: " + inputName);
// inInput = true;
if (project.elecInputInfo.getStim(inputName) == null) {
throw new Hdf5Exception(
"Error: there is an electrical input with name: "
+ inputName
+ " specified in "
+ "that file, but no such electrical input exists in the project. Add one to allow import of this file");
}
// Get the atributes of the Input and compare them with the attributes within the project
// Test to find out what type of input this is
} else if (g.getName().startsWith("IClamp") && inInputs) {
String inputName = g.getParent().getName().substring(6);
// Get the input sites from the table
String cellGroup =
Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.INPUT_TARGET_POPULATION_ATTR);
if (cellGroup == null) {
cellGroup =
Hdf5Utils.getFirstStringValAttr(
attrs, NetworkMLConstants.INPUT_TARGET_CELLGROUP_OLD_ATTR); // check old name
}
float readDelay =
(float)
UnitConverter.getTime(
Float.parseFloat(
Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.INPUT_DELAY_ATTR)),
inputUnitSystem,
UnitConverter.NEUROCONSTRUCT_UNITS);
float readDuration =
(float)
UnitConverter.getTime(
Float.parseFloat(
Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.INPUT_DUR_ATTR)),
inputUnitSystem,
UnitConverter.NEUROCONSTRUCT_UNITS);
float readAmp =
(float)
UnitConverter.getCurrent(
Float.parseFloat(
Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.INPUT_AMP_ATTR)),
inputUnitSystem,
UnitConverter.NEUROCONSTRUCT_UNITS);
StimulationSettings nextStim = project.elecInputInfo.getStim(inputName);
ElectricalInput myElectricalInput = nextStim.getElectricalInput();
IClamp ic = (IClamp) myElectricalInput;
logger.logComment("Found an IClamp Input");
float currDelay = -1, currDur = -1, currAmp = -1;
/*
try
{
ic.getDelay().reset();
currDelay = ic.getDelay().getNumber();
ic.getDuration().reset();
currDur = ic.getDuration().getNumber();
ic.getAmplitude().reset();
currAmp = ic.getAmplitude().getNumber();
}
catch (Exception ex)
{
logger.logError("Legacy error getting iclamp params!!");
}*/
currDelay = ic.getDel().getNominalNumber();
currDur = ic.getDur().getNominalNumber();
currAmp = ic.getAmp().getNominalNumber();
if ((!project.elecInputInfo.getStim(inputName).getCellGroup().equals(cellGroup))
|| (readDelay != currDelay)
|| (readDuration != currDur)
|| (readAmp != currAmp)) {
throw new Hdf5Exception(
"Error: the input properties of the file do not match those in the project for input "
+ inputName
+ ""
+ "\nreadDelay: "
+ readDelay
+ ", currDelay: "
+ currDelay
+ "\nreadDuration: "
+ readDuration
+ ", currDur: "
+ currDur
+ "\nreadAmp: "
+ readAmp
+ ", currAmp: "
+ currAmp
+ ", str: "
+ Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.INPUT_AMP_ATTR));
}
currentInput = inputName;
} else if (g.getName().startsWith("RandomSpikeTrain") && inInputs) {
String inputName = g.getParent().getName().substring(6);
// Get the input sites from the table
String cellGroup =
Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.INPUT_TARGET_POPULATION_ATTR);
if (cellGroup == null) {
cellGroup =
Hdf5Utils.getFirstStringValAttr(
attrs, NetworkMLConstants.INPUT_TARGET_CELLGROUP_OLD_ATTR); // check old name
}
float frequency =
(float)
UnitConverter.getRate(
Float.parseFloat(
Hdf5Utils.getFirstStringValAttr(
attrs, NetworkMLConstants.RND_STIM_FREQ_ATTR)),
inputUnitSystem,
UnitConverter.NEUROCONSTRUCT_UNITS);
String mechanism =
Hdf5Utils.getFirstStringValAttr(attrs, NetworkMLConstants.RND_STIM_MECH_ATTR);
StimulationSettings nextStim = project.elecInputInfo.getStim(inputName);
ElectricalInput myElectricalInput = nextStim.getElectricalInput();
RandomSpikeTrain rs = (RandomSpikeTrain) myElectricalInput;
logger.logComment("Found an Random Spike Train Input");
if ((!project.elecInputInfo.getStim(inputName).getCellGroup().equals(cellGroup))
|| frequency != rs.getRate().getFixedNum()
|| !rs.getSynapseType().equals(mechanism)) {
throw new Hdf5Exception(
"Error: the input properties of the file do not match those in the project for input "
+ inputName);
}
currentInput = inputName;
}
}