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/*
* Copyright (C) 2016 SignalFx, Inc. All rights reserved.
*/
package com.signalfx.signalflow;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Collections;
import java.util.HashMap;
import java.util.Iterator;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.NoSuchElementException;
import com.signalfx.signalflow.ChannelMessage.ChannelAbortMessage;
import com.signalfx.signalflow.ChannelMessage.DataMessage;
import com.signalfx.signalflow.ChannelMessage.ErrorMessage;
import com.signalfx.signalflow.ChannelMessage.ExpiredTsIdMessage;
import com.signalfx.signalflow.ChannelMessage.InfoMessage;
import com.signalfx.signalflow.ChannelMessage.JobStartMessage;
import com.signalfx.signalflow.ChannelMessage.MetadataMessage;
/**
* A live handle to a running SignalFlow computation.
*
* @author dgriff
*/
public class Computation implements Iterable, Iterator {
/**
* Enumeration of computation states
*/
public static enum State {
STATE_UNKNOWN,
STATE_STREAM_STARTED,
STATE_COMPUTATION_STARTED,
STATE_DATA_RECEIVED,
STATE_COMPLETED,
STATE_ABORTED;
}
protected SignalFlowTransport transport;
protected String program;
protected Map params;
protected boolean isAttachedChannel;
private Map> metadata = new HashMap>();
private String id;
private Channel channel;
private ChannelMessage nextMessage;
private State state = State.STATE_UNKNOWN;
private long lastLogicalTimestampMs = -1;
private long resolution;
private int expectedBatches;
private boolean batchCountDetected;
private int currentBatchCount;
private DataMessage currentBatchMessage;
public Computation(SignalFlowTransport transport, String program, Map params,
boolean attach) {
this.transport = transport;
this.program = program;
this.params = params;
this.isAttachedChannel = attach;
this.channel = isAttachedChannel ? attach() : execute();
}
/**
* @return handle to computation
*/
public String getId() {
return this.id;
}
/**
* @return data resolution
*/
public long getResolution() {
return resolution;
}
/**
* @return current computation state
*/
public State getState() {
return state;
}
/**
* @return last message time in milliseconds since midnight, January 1, 1970 UTC
*/
public long getLastLogicalTimestampMs() {
return lastLogicalTimestampMs;
}
/**
* @return sorted list of known timeseries ids
*/
public Collection getKnownTSIDs() {
List list = new ArrayList(metadata.keySet());
Collections.sort(list);
return list;
}
/**
* @param tsid
* unique identifier of timeseries
* @return the full metadata object for the given timeseries (by its ID), or null if not
* available.
*/
public Map getMetadata(String tsid) {
return metadata.get(tsid);
}
/**
* Getter of iterator that iterates over the messages from the computation's output.
*/
public Iterator iterator() {
return this;
}
@Override
public boolean hasNext() throws ComputationAbortedException,
ComputationFailedException, SignalFlowException, StreamRequestException {
while ((state != State.STATE_COMPLETED) && (!channel.isClosed) && (nextMessage == null)) {
parseNext();
}
return nextMessage != null;
}
/**
* Iterate over the messages from the computation's output.
*
* Control and metadata messages are intercepted and interpreted to enhance this Computation's
* object knowledge of the computation's context. Data and event messages are yielded back to
* the caller as a generator.
*/
@Override
public ChannelMessage next() throws ComputationAbortedException, ComputationFailedException,
SignalFlowException, NoSuchElementException {
while ((state != State.STATE_COMPLETED) && (!channel.isClosed) && (nextMessage == null)) {
parseNext();
}
if (nextMessage != null) {
ChannelMessage message = nextMessage;
nextMessage = null;
return message;
} else {
// no more messages can come from this channel
throw new NoSuchElementException("no more stream messages");
}
}
@Override
public void remove() {
throw new UnsupportedOperationException("remove not supported");
}
/**
* Manually close this computation and detach from its stream. This computation object cannot be
* restarted, used or streamed for after this method is called.
*/
public void close() {
channel.close();
nextMessage = null;
}
/**
* Create channel for computation
*
* @return Channel for computation
* @throws SignalFlowException
* if transport fails to create channel
*/
private Channel execute() throws SignalFlowException {
HashMap params = new HashMap(this.params);
if (lastLogicalTimestampMs >= 0) {
params.put("start", Long.toString(lastLogicalTimestampMs));
}
return transport.execute(program, params);
}
/**
* Attach to existing channel for computation
*
* @return Channel for computation
* @throws SignalFlowException
* if transport fails to attach to channel
*/
private Channel attach() throws SignalFlowException {
return transport.attach(program, params);
}
/**
* Process the channel messages to manage computation
*
* @throws ComputationAbortedException
* on receiving channel message aborted
* @throws ComputationFailedException
* on receiving channel message error
*/
private void parseNext() throws ComputationAbortedException,
ComputationFailedException, SignalFlowException {
nextMessage = null;
while (state != State.STATE_COMPLETED) {
if (!channel.hasNext()) {
if (state != State.STATE_COMPLETED) {
channel.close();
channel = isAttachedChannel ? attach() : execute();
continue;
}
} else {
ChannelMessage message = channel.next();
switch (message.channelMessageType) {
case STREAM_START:
state = State.STATE_STREAM_STARTED;
break;
case JOB_START:
state = State.STATE_COMPUTATION_STARTED;
nextMessage = message;
id = ((JobStartMessage) message).getHandle();
break;
case JOB_PROGRESS:
nextMessage = message;
break;
case CHANNEL_ABORT:
state = State.STATE_ABORTED;
ChannelAbortMessage abortMessage = (ChannelAbortMessage) message;
throw new ComputationAbortedException(abortMessage.getAbortInfo());
case END_OF_CHANNEL:
state = State.STATE_COMPLETED;
break;
case METADATA_MESSAGE:
// Intercept metadata messages to accumulate received metadata.
MetadataMessage metadataMessage = (MetadataMessage) message;
metadata.put(metadataMessage.getTsId(), metadataMessage.getProperties());
nextMessage = message;
break;
case EXPIRED_TSID_MESSAGE:
// Intercept expired-tsid messages to clean it up.
ExpiredTsIdMessage expiredTsIdMessage = (ExpiredTsIdMessage) message;
metadata.remove(expiredTsIdMessage.getTsId());
nextMessage = message;
break;
case INFO_MESSAGE:
InfoMessage infoMessage = (InfoMessage) message;
String messageCode = (String) infoMessage.getMessage().get("messageCode");
// Extract the output resolution from the appropriate message, if it's present.
if ("JOB_RUNNING_RESOLUTION".equals(messageCode)) {
@SuppressWarnings("unchecked")
LinkedHashMap contents = (LinkedHashMap) infoMessage
.getMessage().get("contents");
resolution = ((Number) contents.get("resolutionMs")).longValue();
}
batchCountDetected = true;
if (currentBatchMessage != null) {
setNextDataMessageToYield();
}
break;
case DATA_MESSAGE:
// Accumulate data messages and release them when we have received
// all batches for the same logical timestamp.
state = State.STATE_DATA_RECEIVED;
if (!batchCountDetected) {
expectedBatches++;
}
DataMessage dataMessage = (DataMessage) message;
if (currentBatchMessage == null) {
currentBatchMessage = dataMessage;
currentBatchCount = 1;
} else if (dataMessage.getLogicalTimestampMs() == currentBatchMessage
.getLogicalTimestampMs()) {
currentBatchMessage.addData(dataMessage.getData());
currentBatchCount++;
} else {
batchCountDetected = true;
}
if (batchCountDetected && currentBatchMessage != null
&& currentBatchCount == expectedBatches) {
setNextDataMessageToYield();
}
break;
case EVENT_MESSAGE:
nextMessage = message;
break;
case ERROR_MESSAGE:
ErrorMessage errorMessage = (ErrorMessage) message;
/* This is a hack based on the fact that the API can return type different
* error messages with the same type. We have to check attributes to know
* which error we're working with.
*/
if (errorMessage.getMessage() != null) {
throw new StreamRequestException(errorMessage.getError(), errorMessage.getMessage());
} else {
throw new ComputationFailedException(errorMessage.getErrors());
}
}
}
if (nextMessage != null) {
break;
}
}
}
/**
* Set the next data message that will be returned by the iterator and reset the current batch
* message in which we accumulate.
*/
private void setNextDataMessageToYield() {
DataMessage yieldMessage = currentBatchMessage;
currentBatchMessage = null;
currentBatchCount = 0;
lastLogicalTimestampMs = yieldMessage.getLogicalTimestampMs();
nextMessage = yieldMessage;
}
}
