Merge branch 'david-cpu-only-docs' into david-contrib-conda-yaml-1660

.github/workflows/ci_pipe.yml

@@ -137,7 +137,8 @@ jobs:
   test:
     name: Test
     runs-on: linux-amd64-gpu-v100-latest-1
-    timeout-minutes: 60
+    # Consider lowering this back down to 60 minutes per https://github.com/nv-morpheus/Morpheus/issues/1948
+    timeout-minutes: 90
     container:
       credentials:
         username: '$oauthtoken'

docs/source/conf.py

@@ -199,6 +199,7 @@
     r'^http://$',
     r'^https://$',
     r'https://(platform\.)?openai.com',
+    r'https://code.visualstudio.com'
 ]
 
 # Add any paths that contain templates here, relative to this directory.

examples/gnn_fraud_detection_pipeline/stages/model.py

@@ -407,7 +407,7 @@ def load_model(model_dir: str,
                       n_layers=hyperparameters['n_layers'],
                       embedding_size=hyperparameters['embedding_size'],
                       target=hyperparameters['target_node']).to(device)
-    model.load_state_dict(torch.load(os.path.join(model_dir, 'model.pt')))
+    model.load_state_dict(torch.load(os.path.join(model_dir, 'model.pt'), weights_only=False))
 
     return model, graph, hyperparameters
 

examples/llm/common/utils.py

@@ -15,7 +15,7 @@
 import logging
 
 import pymilvus
-from langchain.embeddings import HuggingFaceEmbeddings  # pylint: disable=no-name-in-module
+from langchain_community.embeddings import HuggingFaceEmbeddings
 
 from morpheus_llm.llm.services.llm_service import LLMService
 from morpheus_llm.llm.services.nemo_llm_service import NeMoLLMService

examples/llm/vdb_upload/langchain.py

@@ -16,9 +16,9 @@
 
 # pylint: disable=no-name-in-module
 from langchain.document_loaders.rss import RSSFeedLoader
-from langchain.embeddings.huggingface import HuggingFaceEmbeddings
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain.vectorstores.milvus import Milvus
+from langchain_community.embeddings import HuggingFaceEmbeddings
 
 from examples.llm.vdb_upload.vdb_utils import DEFAULT_RSS_URLS
 from morpheus.utils.logging_timer import log_time

examples/llm/vdb_upload/module/content_extractor_module.py

@@ -29,7 +29,8 @@
 import pypdfium2 as libpdfium
 from docx import Document
 from langchain.text_splitter import RecursiveCharacterTextSplitter
-from pydantic import BaseModel  # pylint: disable=no-name-in-module
+from pydantic import BaseModel
+from pydantic import ConfigDict
 from pydantic import Field
 from pydantic import ValidationError
 from pydantic import field_validator
@@ -43,9 +44,7 @@ class CSVConverterSchema(BaseModel):
     chunk_overlap: int = 102  # Example default value
     chunk_size: int = 1024
     text_column_names: List[str]
-
-    class Config:
-        extra = "forbid"
+    model_config = ConfigDict(extra='forbid')
 
 
 class ContentExtractorSchema(BaseModel):
@@ -54,6 +53,7 @@ class ContentExtractorSchema(BaseModel):
     chunk_size: int = 512
     converters_meta: Dict[str, Dict] = Field(default_factory=dict)
     num_threads: int = 10
+    model_config = ConfigDict(extra='forbid')
 
     @field_validator('converters_meta', mode="before")
     @classmethod
@@ -66,9 +66,6 @@ def val_converters_meta(cls, to_validate: Dict[str, Dict]) -> Dict[str, Dict]:
                 validated_meta[key] = value
         return validated_meta
 
-    class Config:
-        extra = "forbid"
-
 
 logger = logging.getLogger(__name__)
 

examples/llm/vdb_upload/module/file_source_pipe.py

@@ -20,6 +20,7 @@
 
 import mrc
 from pydantic import BaseModel
+from pydantic import ConfigDict
 from pydantic import Field
 from pydantic import ValidationError
 
@@ -48,9 +49,7 @@ class FileSourcePipeSchema(BaseModel):
     vdb_resource_name: str
     watch: bool = False  # Flag to watch file changes
     watch_interval: float = -5.0  # Interval to watch file changes
-
-    class Config:
-        extra = "forbid"
+    model_config = ConfigDict(extra='forbid')
 
 
 FileSourcePipeLoaderFactory = ModuleLoaderFactory("file_source_pipe", "morpheus_examples_llm", FileSourcePipeSchema)

examples/llm/vdb_upload/module/rss_source_pipe.py

@@ -20,9 +20,10 @@
 
 import mrc
 from pydantic import BaseModel
+from pydantic import ConfigDict
 from pydantic import Field
 from pydantic import ValidationError
-from pydantic import validator
+from pydantic import field_validator
 
 from morpheus.modules.general.monitor import MonitorLoaderFactory
 from morpheus.modules.input.rss_source import RSSSourceLoaderFactory
@@ -52,8 +53,9 @@ class RSSSourcePipeSchema(BaseModel):
     strip_markup: bool = True
     vdb_resource_name: str
     web_scraper_config: Optional[Dict[Any, Any]] = None
+    model_config = ConfigDict(extra='forbid')
 
-    @validator('feed_input', pre=True)
+    @field_validator('feed_input')
     def validate_feed_input(cls, to_validate):  # pylint: disable=no-self-argument
         if isinstance(to_validate, str):
             return [to_validate]
@@ -63,9 +65,6 @@ def validate_feed_input(cls, to_validate):  # pylint: disable=no-self-argument
 
         raise ValueError('feed_input must be a string or a list of strings')
 
-    class Config:
-        extra = "forbid"
-
 
 RSSSourcePipeLoaderFactory = ModuleLoaderFactory("rss_source_pipe", "morpheus_examples_llm", RSSSourcePipeSchema)
 

examples/llm/vdb_upload/module/schema_transform.py

@@ -20,6 +20,7 @@
 import mrc
 import mrc.core.operators as ops
 from pydantic import BaseModel
+from pydantic import ConfigDict
 from pydantic import Field
 from pydantic import ValidationError
 
@@ -39,16 +40,12 @@ class ColumnTransformSchema(BaseModel):
     dtype: str
     op_type: str
     from_: Optional[str] = Field(None, alias="from")
-
-    class Config:
-        extra = "forbid"
+    model_config = ConfigDict(extra='forbid')
 
 
 class SchemaTransformSchema(BaseModel):
     schema_transform_config: Dict[str, Dict[str, Any]] = Field(default_factory=dict)
-
-    class Config:
-        extra = "forbid"
+    model_config = ConfigDict(extra='forbid')
 
 
 SchemaTransformLoaderFactory = ModuleLoaderFactory("schema_transform", "morpheus_examples_llm", SchemaTransformSchema)

examples/llm/vdb_upload/module/vdb_resource_tagging_module.py

@@ -16,6 +16,7 @@
 
 import mrc
 from pydantic import BaseModel
+from pydantic import ConfigDict
 from pydantic import ValidationError
 
 from morpheus.messages import ControlMessage
@@ -27,9 +28,7 @@
 
 class VDBResourceTaggingSchema(BaseModel):
     vdb_resource_name: str
-
-    class Config:
-        extra = "forbid"
+    model_config = ConfigDict(extra='forbid')
 
 
 VDBResourceTaggingLoaderFactory = ModuleLoaderFactory("vdb_resource_tagging",

examples/llm/vdb_upload/module/web_scraper_module.py

@@ -22,7 +22,8 @@
 import requests_cache
 from bs4 import BeautifulSoup
 from langchain.text_splitter import RecursiveCharacterTextSplitter
-from pydantic import BaseModel  # pylint: disable=no-name-in-module
+from pydantic import BaseModel
+from pydantic import ConfigDict
 from pydantic import ValidationError
 
 import cudf
@@ -41,9 +42,7 @@ class WebScraperSchema(BaseModel):
     enable_cache: bool = False
     cache_path: str = "./.cache/http/RSSDownloadStage.sqlite"
     cache_dir: str = "./.cache/llm/rss"
-
-    class Config:
-        extra = "forbid"
+    model_config = ConfigDict(extra='forbid')
 
 
 WebScraperLoaderFactory = ModuleLoaderFactory("web_scraper", "morpheus_examples_llm", WebScraperSchema)

examples/ransomware_detection/stages/create_features.py

@@ -20,8 +20,6 @@
 
 import cudf
 
-from common.data_models import FeatureConfig  # pylint: disable=no-name-in-module
-from common.feature_extractor import FeatureExtractor  # pylint: disable=no-name-in-module
 from morpheus.cli.register_stage import register_stage
 from morpheus.config import Config
 from morpheus.config import PipelineModes
@@ -30,6 +28,9 @@
 from morpheus.pipeline.control_message_stage import ControlMessageStage
 from morpheus.pipeline.preallocator_mixin import PreallocatorMixin
 
+from common.data_models import FeatureConfig  # pylint: disable=no-name-in-module # isort: skip
+from common.feature_extractor import FeatureExtractor  # pylint: disable=no-name-in-module # isort: skip
+
 
 @register_stage("create-features", modes=[PipelineModes.FIL])
 class CreateFeaturesRWStage(PreallocatorMixin, ControlMessageStage):

examples/ransomware_detection/stages/preprocessing.py

@@ -18,7 +18,6 @@
 import mrc
 import pandas as pd
 
-from common.data_models import SnapshotData  # pylint: disable=no-name-in-module
 from morpheus.cli.register_stage import register_stage
 from morpheus.common import TypeId
 from morpheus.config import Config
@@ -27,6 +26,8 @@
 from morpheus.messages import InferenceMemoryFIL
 from morpheus.stages.preprocess.preprocess_base_stage import PreprocessBaseStage
 
+from common.data_models import SnapshotData  # pylint: disable=no-name-in-module #isort:skip
+
 
 @register_stage("ransomware-preprocess", modes=[PipelineModes.FIL])
 class PreprocessingRWStage(PreprocessBaseStage):

pyproject.toml

@@ -42,7 +42,9 @@ filterwarnings = [
 
 testpaths = ["tests"]
 
-addopts = "--benchmark-disable"
+# Don't run the benchmarks by default, don't search for tests in the tests/_utils directory which will trigger false
+# alarms
+addopts = "--benchmark-disable --ignore=tests/_utils"
 
 asyncio_mode = "auto"
 

python/morpheus/morpheus/controllers/file_to_df_controller.py

@@ -30,6 +30,7 @@
 from morpheus.utils.column_info import PreparedDFInfo
 from morpheus.utils.column_info import process_dataframe
 from morpheus.utils.downloader import Downloader
+from morpheus.utils.downloader import DownloadMethods
 
 logger = logging.getLogger(__name__)
 
@@ -103,6 +104,9 @@ class FileToDFController:
         Directory where cache will be stored.
     timestamp_column_name : str
         Name of the timestamp column.
+    download_method : typing.Union[DownloadMethods, str], optional, default = DownloadMethods.DASK_THREAD
+        The download method to use, if the `MORPHEUS_FILE_DOWNLOAD_TYPE` environment variable is set, it takes
+        presedence.
     """
 
     def __init__(self,
@@ -111,7 +115,8 @@ def __init__(self,
                  file_type: FileTypes,
                  parser_kwargs: dict,
                  cache_dir: str,
-                 timestamp_column_name: str):
+                 timestamp_column_name: str,
+                 download_method: typing.Union[DownloadMethods, str] = DownloadMethods.DASK_THREAD):
 
         self._schema = schema
         self._file_type = file_type
@@ -120,7 +125,7 @@ def __init__(self,
         self._cache_dir = os.path.join(cache_dir, "file_cache")
         self._timestamp_column_name = timestamp_column_name
 
-        self._downloader = Downloader()
+        self._downloader = Downloader(download_method=download_method)
 
     def _get_or_create_dataframe_from_batch(
             self, file_object_batch: typing.Tuple[fsspec.core.OpenFiles, int]) -> typing.Tuple[pd.DataFrame, bool]:

python/morpheus/morpheus/controllers/monitor_controller.py

@@ -28,8 +28,6 @@
 
 logger = logging.getLogger(__name__)
 
-SupportedTypes = typing.Union[DataFrameType, MessageMeta, ControlMessage, list]
-
 
 class MonitorController:
     """
@@ -59,6 +57,7 @@ class MonitorController:
         Custom implementation of tqdm if required.
     """
 
+    SupportedTypes = typing.Union[DataFrameType, MessageMeta, ControlMessage, list]
     controller_count: int = 0
 
     def __init__(self,

python/morpheus/morpheus/controllers/rss_controller.py

@@ -28,8 +28,8 @@
 import requests_cache
 
 from morpheus.messages import MessageMeta
+from morpheus.utils.type_aliases import DataFrameModule
 from morpheus.utils.type_aliases import DataFrameType
-from morpheus.utils.type_aliases import DataFrameTypeStr
 from morpheus.utils.type_utils import get_df_class
 
 logger = logging.getLogger(__name__)
@@ -107,7 +107,7 @@ def __init__(self,
                  stop_after: int = 0,
                  interval_secs: float = 600,
                  should_stop_fn: Callable[[], bool] = None,
-                 df_type: DataFrameTypeStr = "cudf"):
+                 df_type: DataFrameModule = "cudf"):
         if IMPORT_EXCEPTION is not None:
             raise ImportError(IMPORT_ERROR_MESSAGE) from IMPORT_EXCEPTION