diff --git a/dump.rdb b/dump.rdb deleted file mode 100644 index de02a76c..00000000 Binary files a/dump.rdb and /dev/null differ diff --git a/examples/multi_udf/src/udf/inference.py b/examples/multi_udf/src/udf/inference.py index 17dd8a23..179e4b73 100644 --- a/examples/multi_udf/src/udf/inference.py +++ b/examples/multi_udf/src/udf/inference.py @@ -61,7 +61,7 @@ def exec(self, keys: list[str], datum: Datum) -> Messages: LOGGER.info("%s - Inference complete", payload.uuid) else: # If model not found, set status as not found - LOGGER.exception("%s - Model not found", payload.uuid) + LOGGER.warning("%s - Model not found", payload.uuid) payload.is_artifact_valid = False # Convert Payload back to bytes and conditional forward to threshold vertex diff --git a/numalogic/registry/redis_registry.py b/numalogic/registry/redis_registry.py index e0369403..a5e3eadf 100644 --- a/numalogic/registry/redis_registry.py +++ b/numalogic/registry/redis_registry.py @@ -159,27 +159,33 @@ def __load_latest_artifact(self, key: str) -> tuple[ArtifactData, bool]: ------ ModelKeyNotFound: If the model key is not found in the registry. """ - cached_artifact = self._load_from_cache(key) + latest_key = self.__construct_latest_key(key) + cached_artifact = self._load_from_cache(latest_key) if cached_artifact: - _LOGGER.debug("Found cached artifact for key: %s", key) + _LOGGER.debug("Found cached artifact for key: %s", latest_key) return cached_artifact, True - latest_key = self.__construct_latest_key(key) if not self.client.exists(latest_key): raise ModelKeyNotFound(f"latest key: {latest_key}, Not Found !!!") model_key = self.client.get(latest_key) _LOGGER.debug("latest key, %s, is pointing to the key : %s", latest_key, model_key) - return ( - self.__load_version_artifact(version=self.get_version(model_key.decode()), key=key), - False, + artifact, _ = self.__load_version_artifact( + version=self.get_version(model_key.decode()), key=key ) + return artifact, False - def __load_version_artifact(self, version: str, key: str) -> ArtifactData: - model_key = self.__construct_version_key(key, version) - print(model_key) - if not self.client.exists(model_key): - raise ModelKeyNotFound("Could not find model key with key: %s" % model_key) - return self.__get_artifact_data( - model_key=model_key, + def __load_version_artifact(self, version: str, key: str) -> tuple[ArtifactData, bool]: + version_key = self.__construct_version_key(key, version) + cached_artifact = self._load_from_cache(version_key) + if cached_artifact: + _LOGGER.debug("Found cached version artifact for key: %s", version_key) + return cached_artifact, True + if not self.client.exists(version_key): + raise ModelKeyNotFound("Could not find model key with key: %s" % version_key) + return ( + self.__get_artifact_data( + model_key=version_key, + ), + False, ) def __save_artifact( @@ -237,25 +243,25 @@ def load( if (latest and version) or (not latest and not version): raise ValueError("Either One of 'latest' or 'version' needed in load method call") key = self.construct_key(skeys, dkeys) - is_cached = False try: if latest: artifact_data, is_cached = self.__load_latest_artifact(key) else: - artifact_data = self.__load_version_artifact(version, key) + artifact_data, is_cached = self.__load_version_artifact(version, key) except RedisError as err: raise RedisRegistryError(f"{err.__class__.__name__} raised") from err else: if not is_cached: if latest: _LOGGER.info("Saving %s, in cache as %s", self.__construct_latest_key(key), key) + self._save_in_cache(self.__construct_latest_key(key), artifact_data) else: _LOGGER.info( "Saving %s, in cache as %s", self.__construct_version_key(key, version), key, ) - self._save_in_cache(key, artifact_data) + self._save_in_cache(self.__construct_version_key(key, version), artifact_data) return artifact_data def save( @@ -298,9 +304,8 @@ def save( pipe=redis_pipe, artifact=artifact, key=key, version=str(version), **metadata ) redis_pipe.expire(name=new_version_key, time=self.ttl) - # if pipe is None: - # print(redis_pipe.command_stack) - # redis_pipe.execute() + if pipe is None: + redis_pipe.execute() except RedisError as err: raise RedisRegistryError(f"{err.__class__.__name__} raised") from err else: @@ -384,6 +389,9 @@ def save_multiple( with self.client.pipeline(transaction=self.transactional) as pipe: pipe.multi() for count, (key, artifact) in enumerate(zip(list_dkeys, list_artifacts)): + dict_model_ver[":".join(key)] = self.save( + skeys=skeys, dkeys=key, artifact=artifact, pipe=pipe, **metadata + ) if count == len(list_artifacts) - 1: self.save( skeys=skeys, @@ -393,15 +401,11 @@ def save_multiple( artifact_versions=dict_model_ver, **metadata, ) - break - dict_model_ver = { - ":".join(key): self.save( - skeys=skeys, dkeys=key, artifact=artifact, pipe=pipe, **metadata - ) - } pipe.execute() _LOGGER.info("Successfully saved all the artifacts with: %s", dict_model_ver) except RedisError as err: raise RedisRegistryError(f"{err.__class__.__name__} raised") from err + except IndexError as index_err: + raise RedisRegistryError(f"{index_err.__class__.__name__} raised") from index_err else: return dict_model_ver diff --git a/numalogic/udfs/__main__.py b/numalogic/udfs/__main__.py index e8927e4e..d787df95 100644 --- a/numalogic/udfs/__main__.py +++ b/numalogic/udfs/__main__.py @@ -12,8 +12,13 @@ CONF_FILE_PATH = os.getenv( "CONF_PATH", default=os.path.join(BASE_CONF_DIR, "default-configs", "config.yaml") ) +pipeline_conf = load_pipeline_conf(CONF_FILE_PATH) +logging.info("Pipeline config: %s", pipeline_conf) +redis_client = get_redis_client_from_conf(pipeline_conf.redis_conf) +for key in redis_client.scan_iter("*"): + redis_client.delete(key) if __name__ == "__main__": set_logger() step = sys.argv[1] diff --git a/numalogic/udfs/inference.py b/numalogic/udfs/inference.py index 44630dba..46daadee 100644 --- a/numalogic/udfs/inference.py +++ b/numalogic/udfs/inference.py @@ -16,13 +16,14 @@ from numalogic.udfs._base import NumalogicUDF from numalogic.udfs._config import StreamConf, PipelineConf from numalogic.udfs.entities import StreamPayload, Header, Status -from numalogic.udfs.tools import _load_model +from numalogic.udfs.tools import _load_artifact _LOGGER = logging.getLogger(__name__) # TODO: move to config LOCAL_CACHE_TTL = int(os.getenv("LOCAL_CACHE_TTL", "3600")) LOCAL_CACHE_SIZE = int(os.getenv("LOCAL_CACHE_SIZE", "10000")) +LOAD_LATEST = os.getenv("LOAD_LATEST", "false").lower() == "true" class InferenceUDF(NumalogicUDF): @@ -112,11 +113,12 @@ def exec(self, keys: list[str], datum: Datum) -> Messages: # Forward payload if a training request is tagged if payload.header == Header.TRAIN_REQUEST: return Messages(Message(keys=keys, value=payload.to_json())) - artifact_data = _load_model( + artifact_data, payload = _load_artifact( skeys=keys, dkeys=[self.get_conf(payload.config_id).numalogic_conf.model.name], payload=payload, model_registry=self.model_registry, + load_latest=LOAD_LATEST, ) # TODO: revisit retraining logic diff --git a/numalogic/udfs/postprocess.py b/numalogic/udfs/postprocess.py index cb8263d7..338e6c46 100644 --- a/numalogic/udfs/postprocess.py +++ b/numalogic/udfs/postprocess.py @@ -16,11 +16,12 @@ from numalogic.udfs import NumalogicUDF from numalogic.udfs._config import StreamConf, PipelineConf from numalogic.udfs.entities import StreamPayload, Header, Status, TrainerPayload, OutputPayload -from numalogic.udfs.tools import _load_model +from numalogic.udfs.tools import _load_artifact # TODO: move to config LOCAL_CACHE_TTL = int(os.getenv("LOCAL_CACHE_TTL", "3600")) LOCAL_CACHE_SIZE = int(os.getenv("LOCAL_CACHE_SIZE", "10000")) +LOAD_LATEST = os.getenv("LOAD_LATEST", "false").lower() == "true" _LOGGER = logging.getLogger(__name__) @@ -88,8 +89,12 @@ def exec(self, keys: list[str], datum: Datum) -> Messages: postprocess_cfg = self.get_conf(payload.config_id).numalogic_conf.postprocess # load artifact - thresh_artifact = _load_model( - skeys=keys, dkeys=[thresh_cfg.name], payload=payload, model_registry=self.model_registry + thresh_artifact, payload = _load_artifact( + skeys=keys, + dkeys=[thresh_cfg.name], + payload=payload, + model_registry=self.model_registry, + load_latest=LOAD_LATEST, ) postproc_clf = self.postproc_factory.get_instance(postprocess_cfg) diff --git a/numalogic/udfs/preprocess.py b/numalogic/udfs/preprocess.py index f3001105..b84d91f8 100644 --- a/numalogic/udfs/preprocess.py +++ b/numalogic/udfs/preprocess.py @@ -16,11 +16,12 @@ from numalogic.udfs import NumalogicUDF from numalogic.udfs._config import StreamConf, PipelineConf from numalogic.udfs.entities import Status, Header -from numalogic.udfs.tools import make_stream_payload, get_df, _load_model +from numalogic.udfs.tools import make_stream_payload, get_df, _load_artifact # TODO: move to config LOCAL_CACHE_TTL = int(os.getenv("LOCAL_CACHE_TTL", "3600")) LOCAL_CACHE_SIZE = int(os.getenv("LOCAL_CACHE_SIZE", "10000")) +LOAD_LATEST = os.getenv("LOAD_LATEST", "false").lower() == "true" _LOGGER = logging.getLogger(__name__) @@ -108,7 +109,7 @@ def exec(self, keys: list[str], datum: Datum) -> Messages: if any( [_conf.stateful for _conf in self.get_conf(payload.config_id).numalogic_conf.preprocess] ): - preproc_artifact = _load_model( + preproc_artifact, payload = _load_artifact( skeys=keys, dkeys=[ _conf.name @@ -116,6 +117,7 @@ def exec(self, keys: list[str], datum: Datum) -> Messages: ], payload=payload, model_registry=self.model_registry, + load_latest=LOAD_LATEST, ) if preproc_artifact: preproc_clf = preproc_artifact.artifact diff --git a/numalogic/udfs/tools.py b/numalogic/udfs/tools.py index ad831bc6..5c3ed61a 100644 --- a/numalogic/udfs/tools.py +++ b/numalogic/udfs/tools.py @@ -66,9 +66,13 @@ def make_stream_payload( # TODO: move to base NumalogicUDF class -def _load_model( - skeys: KEYS, dkeys: KEYS, payload: StreamPayload, model_registry: ArtifactManager -) -> Optional[ArtifactData]: +def _load_artifact( + skeys: KEYS, + dkeys: KEYS, + payload: StreamPayload, + model_registry: ArtifactManager, + load_latest: bool, +) -> tuple[Optional[ArtifactData], StreamPayload]: """ Load artifact from redis Args: @@ -80,27 +84,35 @@ def _load_model( Returns ------- artifact_t object + StreamPayload object """ version_to_load = "-1" - str_dkeys = ":".join(dkeys) if payload.metadata and "artifact_versions" in payload.metadata: - version_to_load = payload.metadata["artifact_versions"][str_dkeys] + version_to_load = payload.metadata["artifact_versions"][":".join(dkeys)] + _LOGGER.info("%s - Found version info for keys: %s, %s", payload.uuid, skeys, dkeys) + else: + _LOGGER.info( + "%s - No version info passed on! Loading latest artifact version for Keys: %s", + payload.uuid, + skeys, + ) + load_latest = True try: - if version_to_load == -1: + if load_latest: artifact = model_registry.load(skeys=skeys, dkeys=dkeys) else: artifact = model_registry.load( skeys=skeys, dkeys=dkeys, latest=False, version=version_to_load ) except RedisRegistryError: - _LOGGER.exception( + _LOGGER.warning( "%s - Error while fetching artifact, Keys: %s, Metrics: %s", payload.uuid, skeys, payload.metrics, ) - return None + return None, payload except Exception: _LOGGER.exception( @@ -109,7 +121,7 @@ def _load_model( payload.composite_keys, payload.metrics, ) - return None + return None, payload else: _LOGGER.info( "%s - Loaded Model. Source: %s , version: %s, Keys: %s, %s", @@ -120,11 +132,11 @@ def _load_model( dkeys, ) if artifact.metadata and "artifact_versions" in artifact.metadata: - replace( + payload = replace( payload, metadata={ "artifact_versions": artifact.metadata["artifact_versions"], **payload.metadata, }, ) - return artifact + return artifact, payload diff --git a/numalogic/udfs/trainer.py b/numalogic/udfs/trainer.py index d5c2fe68..e9ecef22 100644 --- a/numalogic/udfs/trainer.py +++ b/numalogic/udfs/trainer.py @@ -201,7 +201,7 @@ def exec(self, keys: list[str], datum: Datum) -> Messages: # Save in reverse order so that version info is stored for other models in the # metadata of first model list_artifacts = [artifacts["threshold_clf"], artifacts["model"], artifacts["preproc_clf"]] - list_dkeys = [thresh_dkeys, preproc_dkeys, model_dkeys] + list_dkeys = [thresh_dkeys, model_dkeys, preproc_dkeys] list_dkeys_save, list_artifacts_save = self.artifacts_to_save( list_dkeys=list_dkeys, list_artifacts=list_artifacts ) diff --git a/poetry.lock b/poetry.lock deleted file mode 100644 index f58feca2..00000000 --- a/poetry.lock +++ /dev/null @@ -1,5159 +0,0 @@ -# This file is automatically @generated by Poetry and should not be changed by hand. - 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self.assertEqual("registry", artifact_data_2.extras["source"]) + self.assertEqual("cache", artifact_data_2.extras["source"]) def test_delete_version(self): version = self.registry.save( diff --git a/tests/udfs/test_postprocess.py b/tests/udfs/test_postprocess.py index f4066afd..20aa361f 100644 --- a/tests/udfs/test_postprocess.py +++ b/tests/udfs/test_postprocess.py @@ -119,7 +119,7 @@ def test_postprocess_infer_model_stale(self): ) ) msg = self.udf(KEYS, Datum(keys=KEYS, value=orjson.dumps(data), **DATUM_KW)) - self.assertEqual(1, len(msg)) + self.assertEqual(2, len(msg)) def test_postprocess_all_model_present(self): data = deepcopy(DATA) diff --git a/tests/udfs/test_preprocess.py b/tests/udfs/test_preprocess.py index a9802a70..487bf524 100644 --- a/tests/udfs/test_preprocess.py +++ b/tests/udfs/test_preprocess.py @@ -45,13 +45,13 @@ def setUp(self) -> None: self.udf1 = PreprocessUDF(REDIS_CLIENT, pl_conf=pl_conf) self.udf2 = PreprocessUDF(REDIS_CLIENT, pl_conf=pl_conf_2) self.udf1.register_conf("druid-config", pl_conf.stream_confs["druid-config"]) - self.udf1.register_conf("druid-config", pl_conf_2.stream_confs["druid-config"]) + self.udf2.register_conf("druid-config", pl_conf_2.stream_confs["druid-config"]) def tearDown(self) -> None: REDIS_CLIENT.flushall() def test_preprocess_load_from_registry(self): - msgs = self.udf1( + msgs = self.udf2( KEYS, DATUM, ) @@ -61,7 +61,7 @@ def test_preprocess_load_from_registry(self): self.assertEqual(payload.header, Header.MODEL_INFERENCE) def test_preprocess_load_from_config(self): - msgs = self.udf2( + msgs = self.udf1( KEYS, DATUM, )