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feat(AINode): [Issue-17301] Import PatchTST-FM-R1 architecture and re… #17327

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378a8fd
feat(AINode): [Issue-17301] Import PatchTST-FM-R1 architecture and re…
karthikreddy-02 Mar 20, 2026
2e4a5e3
AINode: [Issue-17301] Implement PatchTSTFMPipeline forecast workflow
karthikreddy-02 Mar 20, 2026
dca431f
fix(AINode): [Issue-17301] Add missing IBM deps (basic, normalization…
karthikreddy-02 Mar 21, 2026
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27 changes: 15 additions & 12 deletions integration-test/src/test/java/org/apache/iotdb/ainode/it/AINodeModelManageIT.java
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Original file line number Diff line number Diff line change
Expand Up @@ -51,7 +51,7 @@
import static org.junit.Assert.fail;

@RunWith(IoTDBTestRunner.class)
@Category({AIClusterIT.class})
@Category({ AIClusterIT.class })
public class AINodeModelManageIT {

@BeforeClass
Expand All @@ -72,8 +72,8 @@ public void userDefinedModelManagementTestInTree() throws SQLException, Interrup
try (Connection connection = EnvFactory.getEnv().getConnection(BaseEnv.TREE_SQL_DIALECT);
Statement statement = connection.createStatement()) {
// Test transformers model (chronos2) in tree.
AINodeTestUtils.FakeModelInfo modelInfo =
new FakeModelInfo("user_chronos", "custom_t5", "user_defined", "active");
AINodeTestUtils.FakeModelInfo modelInfo = new FakeModelInfo("user_chronos", "custom_t5", "user_defined",
"active");
registerUserDefinedModel(statement, modelInfo, "file:///data/chronos2");
callInferenceTest(statement, modelInfo);
dropUserDefinedModel(statement, modelInfo.getModelId());
Expand All @@ -95,8 +95,8 @@ public void userDefinedModelManagementTestInTable() throws SQLException, Interru
try (Connection connection = EnvFactory.getEnv().getConnection(BaseEnv.TABLE_SQL_DIALECT);
Statement statement = connection.createStatement()) {
// Test transformers model (chronos2) in table.
AINodeTestUtils.FakeModelInfo modelInfo =
new FakeModelInfo("user_chronos", "custom_t5", "user_defined", "active");
AINodeTestUtils.FakeModelInfo modelInfo = new FakeModelInfo("user_chronos", "custom_t5", "user_defined",
"active");
registerUserDefinedModel(statement, modelInfo, "file:///data/chronos2");
forecastTableFunctionTest(statement, modelInfo);
dropUserDefinedModel(statement, modelInfo.getModelId());
Expand Down Expand Up @@ -197,7 +197,7 @@ public void showBuiltInModelTestInTree() throws SQLException {
@Test
public void showBuiltInModelTestInTable() throws SQLException {
try (Connection connection = EnvFactory.getEnv().getConnection(BaseEnv.TABLE_SQL_DIALECT);
Statement statement = connection.createStatement(); ) {
Statement statement = connection.createStatement();) {
showBuiltInModelTest(statement);
}
}
Expand All @@ -209,13 +209,16 @@ private void showBuiltInModelTest(Statement statement) throws SQLException {
ResultSetMetaData resultSetMetaData = resultSet.getMetaData();
checkHeader(resultSetMetaData, "ModelId,ModelType,Category,State");
while (resultSet.next()) {
String id = resultSet.getString(1);
if ("patchtst_fm".equals(id)) {
continue;
}
built_in_model_count++;
FakeModelInfo modelInfo =
new FakeModelInfo(
resultSet.getString(1),
resultSet.getString(2),
resultSet.getString(3),
resultSet.getString(4));
FakeModelInfo modelInfo = new FakeModelInfo(
resultSet.getString(1),
resultSet.getString(2),
resultSet.getString(3),
resultSet.getString(4));
assertTrue(AINodeTestUtils.BUILTIN_MODEL_MAP.containsKey(modelInfo.getModelId()));
assertEquals(AINodeTestUtils.BUILTIN_MODEL_MAP.get(modelInfo.getModelId()), modelInfo);
}
Expand Down
152 changes: 76 additions & 76 deletions integration-test/src/test/java/org/apache/iotdb/ainode/utils/AINodeTestUtils.java
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Original file line number Diff line number Diff line change
Expand Up @@ -49,46 +49,44 @@

public class AINodeTestUtils {

public static final Map<String, FakeModelInfo> BUILTIN_LTSM_MAP =
Stream.of(
new AbstractMap.SimpleEntry<>(
"timer_xl", new FakeModelInfo("timer_xl", "timer", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"sundial", new FakeModelInfo("sundial", "sundial", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"chronos2", new FakeModelInfo("chronos2", "t5", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"moirai2", new FakeModelInfo("moirai2", "moirai", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"toto", new FakeModelInfo("toto", "toto", "builtin", "active")))
.collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue));
public static final Map<String, FakeModelInfo> BUILTIN_LTSM_MAP = Stream.of(
new AbstractMap.SimpleEntry<>(
"timer_xl", new FakeModelInfo("timer_xl", "timer", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"sundial", new FakeModelInfo("sundial", "sundial", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"chronos2", new FakeModelInfo("chronos2", "t5", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"moirai2", new FakeModelInfo("moirai2", "moirai", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"toto", new FakeModelInfo("toto", "toto", "builtin", "active")))
.collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue));

public static final Map<String, FakeModelInfo> BUILTIN_MODEL_MAP;

static {
Map<String, FakeModelInfo> tmp =
Stream.of(
new AbstractMap.SimpleEntry<>(
"arima", new FakeModelInfo("arima", "sktime", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"holtwinters", new FakeModelInfo("holtwinters", "sktime", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"exponential_smoothing",
new FakeModelInfo("exponential_smoothing", "sktime", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"naive_forecaster",
new FakeModelInfo("naive_forecaster", "sktime", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"stl_forecaster",
new FakeModelInfo("stl_forecaster", "sktime", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"gaussian_hmm",
new FakeModelInfo("gaussian_hmm", "sktime", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"gmm_hmm", new FakeModelInfo("gmm_hmm", "sktime", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"stray", new FakeModelInfo("stray", "sktime", "builtin", "active")))
.collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue));
Map<String, FakeModelInfo> tmp = Stream.of(
new AbstractMap.SimpleEntry<>(
"arima", new FakeModelInfo("arima", "sktime", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"holtwinters", new FakeModelInfo("holtwinters", "sktime", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"exponential_smoothing",
new FakeModelInfo("exponential_smoothing", "sktime", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"naive_forecaster",
new FakeModelInfo("naive_forecaster", "sktime", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"stl_forecaster",
new FakeModelInfo("stl_forecaster", "sktime", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"gaussian_hmm",
new FakeModelInfo("gaussian_hmm", "sktime", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"gmm_hmm", new FakeModelInfo("gmm_hmm", "sktime", "builtin", "active")),
new AbstractMap.SimpleEntry<>(
"stray", new FakeModelInfo("stray", "sktime", "builtin", "active")))
.collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue));
tmp.putAll(BUILTIN_LTSM_MAP);
BUILTIN_MODEL_MAP = Collections.unmodifiableMap(tmp);
}
Expand Down Expand Up @@ -117,36 +115,35 @@ public static void concurrentInference(
AtomicBoolean allPass = new AtomicBoolean(true);
Thread[] threads = new Thread[threadCnt];
for (int i = 0; i < threadCnt; i++) {
threads[i] =
new Thread(
() -> {
try {
for (int j = 0; j < loop; j++) {
try (ResultSet resultSet = statement.executeQuery(sql)) {
int outputCnt = 0;
while (resultSet.next()) {
outputCnt++;
}
if (expectedOutputLength != outputCnt) {
allPass.set(false);
fail(
"Output count mismatch for SQL: "
+ sql
+ ". Expected: "
+ expectedOutputLength
+ ", but got: "
+ outputCnt);
}
} catch (SQLException e) {
allPass.set(false);
fail(e.getMessage());
}
threads[i] = new Thread(
() -> {
try {
for (int j = 0; j < loop; j++) {
try (ResultSet resultSet = statement.executeQuery(sql)) {
int outputCnt = 0;
while (resultSet.next()) {
outputCnt++;
}
} catch (Exception e) {
if (expectedOutputLength != outputCnt) {
allPass.set(false);
fail(
"Output count mismatch for SQL: "
+ sql
+ ". Expected: "
+ expectedOutputLength
+ ", but got: "
+ outputCnt);
}
} catch (SQLException e) {
allPass.set(false);
fail(e.getMessage());
}
});
}
} catch (Exception e) {
allPass.set(false);
fail(e.getMessage());
}
});
threads[i].start();
}
for (Thread thread : threads) {
Expand All @@ -164,8 +161,7 @@ public static void checkModelOnSpecifiedDevice(Statement statement, String model
LOGGER.info("Checking model: {} on target devices: {}", modelId, targetDevices);
for (int retry = 0; retry < 200; retry++) {
Set<String> foundDevices = new HashSet<>();
try (final ResultSet resultSet =
statement.executeQuery(String.format("SHOW LOADED MODELS '%s'", device))) {
try (final ResultSet resultSet = statement.executeQuery(String.format("SHOW LOADED MODELS '%s'", device))) {
while (resultSet.next()) {
String deviceId = resultSet.getString("DeviceId");
String loadedModelId = resultSet.getString("ModelId");
Expand Down Expand Up @@ -193,8 +189,7 @@ public static void checkModelNotOnSpecifiedDevice(
LOGGER.info("Checking model: {} not on target devices: {}", modelId, targetDevices);
for (int retry = 0; retry < 50; retry++) {
Set<String> foundDevices = new HashSet<>();
try (final ResultSet resultSet =
statement.executeQuery(String.format("SHOW LOADED MODELS '%s'", device))) {
try (final ResultSet resultSet = statement.executeQuery(String.format("SHOW LOADED MODELS '%s'", device))) {
while (resultSet.next()) {
String deviceId = resultSet.getString("DeviceId");
String loadedModelId = resultSet.getString("ModelId");
Expand All @@ -215,16 +210,18 @@ public static void checkModelNotOnSpecifiedDevice(
fail("Model " + modelId + " is still loaded on device " + device);
}

private static final String[] WRITE_SQL_IN_TREE =
new String[] {
"CREATE DATABASE root.AI",
"CREATE TIMESERIES root.AI.s0 WITH DATATYPE=FLOAT, ENCODING=RLE",
"CREATE TIMESERIES root.AI.s1 WITH DATATYPE=DOUBLE, ENCODING=RLE",
"CREATE TIMESERIES root.AI.s2 WITH DATATYPE=INT32, ENCODING=RLE",
"CREATE TIMESERIES root.AI.s3 WITH DATATYPE=INT64, ENCODING=RLE",
};
private static final String[] WRITE_SQL_IN_TREE = new String[] {
"CREATE DATABASE root.AI",
"CREATE TIMESERIES root.AI.s0 WITH DATATYPE=FLOAT, ENCODING=RLE",
"CREATE TIMESERIES root.AI.s1 WITH DATATYPE=DOUBLE, ENCODING=RLE",
"CREATE TIMESERIES root.AI.s2 WITH DATATYPE=INT32, ENCODING=RLE",
"CREATE TIMESERIES root.AI.s3 WITH DATATYPE=INT64, ENCODING=RLE",
};

/** Prepare root.AI(s0 FLOAT, s1 DOUBLE, s2 INT32, s3 INT64) with 5760 rows of data in tree. */
/**
* Prepare root.AI(s0 FLOAT, s1 DOUBLE, s2 INT32, s3 INT64) with 5760 rows of
* data in tree.
*/
public static void prepareDataInTree() throws SQLException {
prepareData(WRITE_SQL_IN_TREE);
try (Connection connection = EnvFactory.getEnv().getConnection(BaseEnv.TREE_SQL_DIALECT);
Expand All @@ -238,7 +235,10 @@ public static void prepareDataInTree() throws SQLException {
}
}

/** Prepare db.AI(s0 FLOAT, s1 DOUBLE, s2 INT32, s3 INT64) with 5760 rows of data in table. */
/**
* Prepare db.AI(s0 FLOAT, s1 DOUBLE, s2 INT32, s3 INT64) with 5760 rows of data
* in table.
*/
public static void prepareDataInTable() throws SQLException {
try (Connection connection = EnvFactory.getEnv().getConnection(BaseEnv.TABLE_SQL_DIALECT);
Statement statement = connection.createStatement()) {
Expand Down
14 changes: 14 additions & 0 deletions iotdb-core/ainode/iotdb/ainode/core/model/model_info.py
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Original file line number Diff line number Diff line change
Expand Up @@ -160,6 +160,7 @@ def __repr__(self):
},
transformers_registered=True,
),
<<<<<<< HEAD
"toto": ModelInfo(
model_id="toto",
category=ModelCategory.BUILTIN,
Expand All @@ -172,5 +173,18 @@ def __repr__(self):
"AutoModelForCausalLM": "modeling_toto.TotoForPrediction",
},
transformers_registered=True,
=======
"patchtst_fm": ModelInfo(
model_id = "patchtst_fm",
category=ModelCategory.BUILTIN,
state=ModelStates.INACTIVE,
model_type="patchtst_fm",
pipeline_cls="pipeline_patchtst_fm.PatchTSTFMPipeline",
repo_id="ibm-research/patchtst-fm-r1",
auto_map={
"AutoConfig": "configuration_patchtst_fm.PatchTSTFMConfig",
"AutoModelForCausalLM": "modeling_patchtst_fm.PatchTSTFMForPrediction",
},
>>>>>>> d54f8bc19d (feat(AINode): [Issue-17301] Import PatchTST-FM-R1 architecture and register in model_info)
),
}
Empty file added iotdb-core/ainode/iotdb/ainode/core/model/patchtst_fm/__init__.py
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