move telemetry code to helix-telemetry project

Pipfile

@@ -30,8 +30,6 @@ chardet="*"
 slack_sdk = ">=3.22.0"
 # smart_open is needed for reading and writing files
 smart_open = { extras = ['s3'], version = ">=6.3.0" }
-# mlflow is needed for tracking experiments in MLFlow
-mlflow-skinny = "==2.17.2"
 # sqlalchemy is needed for interacting with databases
 SQLAlchemy = ">=1.4.37"
 # sqlparse is needed for parsing SQL
@@ -41,7 +39,7 @@ bounded-pool-executor = ">=0.0.3"
 # fastjsonschema is needed for validating JSON
 fastjsonschema= ">=2.18.0"
 # helix.fhir.client.sdk is needed for interacting with FHIR servers
-"helix.fhir.client.sdk" = ">=3.0.38"
+"helix.fhir.client.sdk" = ">=4.1.0"
 # opensearch-py is needed for interacting with OpenSearch
 opensearch-py= { extras = ['async'], version = ">=2.6.0" }
 # pyathena is needed for interacting with Athena in AWS
@@ -66,25 +64,16 @@ pydantic=">=2.8.2"
 motor={ extras = ['snappy', 'zstd'], version = ">=3.5.1" }
 # dataclasses-json is needed for working with JSON data to read from and write to json
 dataclasses-json = ">=0.6.7"
+# helixtelemetry is needed for sending telemetry data
+helixtelemetry= ">=1.0.3"
 # ====== For OpenTelemetry ======
 opentelemetry-api = ">=1.30.0"
 opentelemetry-sdk = ">=1.30.0"
 opentelemetry-exporter-otlp = ">=1.30.0"
-opentelemetry-instrumentation-system-metrics = ">=0.51b0"
-opentelemetry-instrumentation-logging = ">=0.51b0"
-opentelemetry-instrumentation-pymysql = ">=0.51b0"
-opentelemetry-instrumentation-pymongo = ">=0.51b0"
-opentelemetry-instrumentation-elasticsearch = ">=0.51b0"
-opentelemetry-instrumentation-boto = ">=0.51b0"
-opentelemetry-instrumentation-botocore = ">=0.51b0"
-opentelemetry-instrumentation-httpx = ">=0.51b0"
-opentelemetry-instrumentation-asyncio = ">=0.51b0"
 opentelemetry-instrumentation-aiohttp-client = ">=0.51b0"
-opentelemetry-instrumentation-confluent-kafka = ">=0.51b0"
-opentelemetry-instrumentation-requests = ">=0.51b0"
-#opentelemetry-exporter-richconsole = ">=0.51b0"
 # ====== End OpenTelemetry ======
-
+# msgpack is needed for serializing and deserializing data
+msgpack = ">=1.1.0"
 
 
 [dev-packages]
@@ -167,6 +156,10 @@ types-Pygments="*"
 types-jsonschema="*"
 types-cffi="*"
 types-pyOpenSSL="*"
+# msgpack-types provides type hints for msgpack
+msgpack-types = { version = ">=0.5.0" }
+# objsize is needed for getting the size of objects in bytes
+objsize = ">=0.7.1"
 
 # These dependencies are required for pipenv-setup.  They conflict with ones above, so we install these
 # only when running pipenv-setup

README.md

@@ -258,3 +258,20 @@ This will install Java, Scala, Spark and other packages
 
 # Asynchronous Processing
 [Asynchronous Processing](asynchronous.md)
+
+# Using local packages
+If you're making changes in packages (e.g., SparkPipelineFramework), you can point your docker to read from those instead of the packages from Pipfile.
+1. Uncomment the line in docker-compose.yml for the package you want to run from your local machine
+2. (Optional) For debugging into these, you need to tell PyCharm to look into that folder also.  You do this by creating path mappings in PyCharm Debug dialog. [https://www.jetbrains.com/help/pycharm/edit-project-path-mappings-dialog.html](https://www.jetbrains.com/help/pycharm/edit-project-path-mappings-dialog.html)
+
+
+For example:
+(These paths have to absolute so replace with the absolute path on your machine.)
+|  Local Path                                                                              |  Remote Path                                   |
+|------------------------------------------------------------------------------------------|------------------------------------------------|
+|`/Users/imranqureshi/git/helix.fhir.client.sdk/helix_fhir_client_sdk/`                    |`/usr/local/lib/python3.12/dist-packages/helix_fhir_client_sdk/`           |
+
+
+NOTE: If you're setting breakpoints, make sure to open the file from the local path to set them.  Otherwise PyCharm opens the version from Pipfile which will never hit your breakpints.
+
+NOTE: Remember to undo your docker-compose.yml change and these path mappings when you're done and switch back to using the package from Pipfile.

conftest.py

@@ -10,6 +10,7 @@
 from moto import mock_aws
 
 from create_spark_session import create_spark_session
+from spark_pipeline_framework.register import register
 
 
 @pytest.fixture(scope="session")
@@ -41,3 +42,20 @@ def s3_mock(
 ) -> Generator[BaseClient, None, None]:
     with mock_aws():
         yield boto3.client("s3", region_name="us-east-1")
+
+
+@pytest.fixture(scope="session", autouse=True)
+def run_before_each_test() -> Generator[None, Any, None]:
+    # This code will run before every test
+    # print("Setting up something before each test")
+    # You can do setup operations here
+    # For example, initializing databases, clearing caches, etc.
+    print("Setting up before each test")
+
+    register()
+
+    # Optional: You can yield if you want to do tear down after the test
+    yield
+
+    # Optional teardown code here
+    print("Cleaning up after each test")

docker-compose.yml

@@ -15,6 +15,7 @@ services:
 #        PYTHONMALLOC: debug
         PYTHONASYNCIODEBUG: 1
 #        PYTHONTRACEMALLOC: 1
+        LOGLEVEL: DEBUG
         # These environment variables are used to configure the spark pipeline framework
         FHIR_SERVER_URL: 'http://fhir:3000/4_0_0/'
         AUTH_CONFIGURATION_URI: 'http://keycloak:8080/realms/bwell-realm/.well-known/openid-configuration'
@@ -23,8 +24,8 @@ services:
         ELASTICSEARCH_HOST: https://elasticsearch:9200
     volumes:
       - ./:/SparkpipelineFramework/
-#      - ../helix.fhir.client.sdk/helix_fhir_client_sdk:/usr/local/lib/python3.10/dist-packages/helix_fhir_client_sdk
-#      - ../mockserver_client/mockserver_client:/usr/local/lib/python3.10/dist-packages/mockserver_client
+#      - ../helix.fhir.client.sdk/helix_fhir_client_sdk:/usr/local/lib/python3.12/dist-packages/helix_fhir_client_sdk
+#      - ../mockserver_client/mockserver_client:/usr/local/lib/python3.12/dist-packages/mockserver_client
     container_name: spf_dev
     working_dir: /SparkpipelineFramework
 
@@ -39,16 +40,6 @@ services:
     healthcheck:
       test: [ "CMD", "mysqladmin" ,"ping", "-h", "localhost" ]
 
-  mlflow:
-    image: imranq2/mlflow_server:0.2.0
-    depends_on:
-      - warehouse
-    ports:
-      - '5050:5000'
-    volumes:
-      - ./mlflow_artifacts/:/opt/project/mlflow_artifacts/
-    command: mlflow server --host 0.0.0.0 --port 5000 --backend-store-uri mysql+pymysql://root:root_password@warehouse:3306/fhir_rpt --default-artifact-root ./opt/project/mlflow_artifacts
-
   mock-server:
     image: mockserver/mockserver:mockserver-5.15.0
     command: -serverPort 1080

pre-commit-hook

@@ -2,4 +2,8 @@
 
 GIT_PROJECT_ROOT=$(git rev-parse --show-toplevel)
 cd "$($GIT_PROJECT_ROOT "$0")"
+
+echo "To use local package, mount the package directory as a volume.  Example:"
+echo "-v \${PWD}/../helix.fhir.client.sdk/helix_fhir_client_sdk:/usr/local/lib/python3.12/site-packages/helix_fhir_client_sdk \\"
+
 docker build -f ./pre-commit.Dockerfile -t pre-commit-spf . && docker run --rm --name pre-commit-spf-run -v $(pwd)/:/sourcecode pre-commit-spf

setup.cfg

@@ -12,8 +12,6 @@ ignore_missing_imports = True
 ignore_missing_imports = True
 [mypy-fastjsonschema.*]
 ignore_missing_imports = True
-[mypy-mlflow.store.tracking.file_store.*]
-ignore_missing_imports = True
 [mypy-py4j.protocol.*]
 ignore_missing_imports = True
 [mypy-usaddress.*]

setup.py

@@ -58,12 +58,11 @@
         "chardet",
         "slack-sdk>=3.22.0",
         "smart-open[s3]>=6.3.0",
-        "mlflow-skinny==2.17.2",
         "sqlalchemy>=1.4.37",
         "sqlparse>=0.5.3",
         "bounded-pool-executor>=0.0.3",
         "fastjsonschema>=2.18.0",
-        "helix.fhir.client.sdk>=3.0.38",
+        "helix.fhir.client.sdk>=4.1.0",
         "opensearch-py[async]>=2.6.0",
         "pyathena>2.14.0",
         "spark-nlp>=4.2.3",
@@ -76,21 +75,12 @@
         "pydantic>=2.8.2",
         "motor[snappy,zstd]>=3.5.1",
         "dataclasses-json>=0.6.7",
+        "helixtelemetry>=1.0.3",
         "opentelemetry-api>=1.30.0",
         "opentelemetry-sdk>=1.30.0",
         "opentelemetry-exporter-otlp>=1.30.0",
-        "opentelemetry-instrumentation-system-metrics>=0.51b0",
-        "opentelemetry-instrumentation-logging>=0.51b0",
-        "opentelemetry-instrumentation-pymysql>=0.51b0",
-        "opentelemetry-instrumentation-pymongo>=0.51b0",
-        "opentelemetry-instrumentation-elasticsearch>=0.51b0",
-        "opentelemetry-instrumentation-boto>=0.51b0",
-        "opentelemetry-instrumentation-botocore>=0.51b0",
-        "opentelemetry-instrumentation-httpx>=0.51b0",
-        "opentelemetry-instrumentation-asyncio>=0.51b0",
         "opentelemetry-instrumentation-aiohttp-client>=0.51b0",
-        "opentelemetry-instrumentation-confluent-kafka>=0.51b0",
-        "opentelemetry-instrumentation-requests>=0.51b0",
+        "msgpack>=1.1.0",
     ],
     classifiers=[
         "Development Status :: 4 - Beta",

spark.Dockerfile

@@ -8,6 +8,9 @@ ENV CLASSPATH=/SparkpipelineFramework/jars:$CLASSPATH
 # remove the older version of entrypoints with apt-get because that is how it was installed
 RUN apt-get remove python3-entrypoints -y
 
+# remove python3.10 stuff
+RUN rm -rf /usr/local/lib/python3.10
+
 COPY Pipfile* /SparkpipelineFramework/
 WORKDIR /SparkpipelineFramework
 

spark_pipeline_framework/mixins/telemetry_parent_mixin.py

@@ -1,8 +1,6 @@
 from typing import Optional
 
-from spark_pipeline_framework.utilities.telemetry.telemetry_parent import (
-    TelemetryParent,
-)
+from helixtelemetry.telemetry.structures.telemetry_parent import TelemetryParent
 
 
 class TelemetryParentMixin:

spark_pipeline_framework/pipelines/framework_pipeline.py

@@ -2,6 +2,16 @@
 import os
 from typing import Any, Dict, List, Union, Optional, Mapping
 
+from helixtelemetry.telemetry.context.telemetry_context import TelemetryContext
+from helixtelemetry.telemetry.factory.telemetry_factory import TelemetryFactory
+from helixtelemetry.telemetry.providers.null_telemetry import NullTelemetry
+from helixtelemetry.telemetry.providers.open_telemetry import OpenTelemetry
+from helixtelemetry.telemetry.spans.telemetry_span_creator import TelemetrySpanCreator
+from helixtelemetry.telemetry.spans.telemetry_span_wrapper import TelemetrySpanWrapper
+from helixtelemetry.telemetry.structures.telemetry_attribute_value import (
+    TelemetryAttributeValue,
+)
+from helixtelemetry.telemetry.structures.telemetry_parent import TelemetryParent
 from pyspark.ml.base import Transformer
 from pyspark.sql.dataframe import DataFrame
 
@@ -19,27 +29,6 @@
 from spark_pipeline_framework.utilities.async_helper.v1.async_helper import AsyncHelper
 from spark_pipeline_framework.utilities.class_helpers import ClassHelpers
 from spark_pipeline_framework.utilities.pipeline_helper import create_steps
-from spark_pipeline_framework.utilities.telemetry.telemetry_attribute_value import (
-    TelemetryAttributeValue,
-)
-from spark_pipeline_framework.utilities.telemetry.telemetry_context import (
-    TelemetryContext,
-)
-from spark_pipeline_framework.utilities.telemetry.telemetry_factory import (
-    TelemetryFactory,
-)
-from spark_pipeline_framework.utilities.telemetry.telemetry_parent import (
-    TelemetryParent,
-)
-from spark_pipeline_framework.utilities.telemetry.telemetry_provider import (
-    TelemetryProvider,
-)
-from spark_pipeline_framework.utilities.telemetry.telemetry_span_creator import (
-    TelemetrySpanCreator,
-)
-from spark_pipeline_framework.utilities.telemetry.telemetry_span_wrapper import (
-    TelemetrySpanWrapper,
-)
 
 
 class FrameworkPipeline(Transformer, LoopIdMixin, TelemetryParentMixin):
@@ -86,9 +75,9 @@ def __init__(
                         telemetry_context
                         or TelemetryContext(
                             provider=(
-                                TelemetryProvider.OPEN_TELEMETRY
+                                OpenTelemetry.telemetry_provider
                                 if self.telemetry_enable
-                                else TelemetryProvider.NULL
+                                else NullTelemetry.telemetry_provider
                             ),
                             service_name=os.getenv(
                                 "OTEL_SERVICE_NAME", "helix-pipelines"

spark_pipeline_framework/pipelines/v2/framework_pipeline.py

@@ -2,8 +2,17 @@
 import os
 from typing import Any, Dict, List, Optional, Union, Mapping
 
-# noinspection PyPackageRequirements
-from mlflow.entities import RunStatus
+from helixtelemetry.telemetry.context.telemetry_context import TelemetryContext
+from helixtelemetry.telemetry.factory.telemetry_factory import TelemetryFactory
+from helixtelemetry.telemetry.providers.null_telemetry import NullTelemetry
+from helixtelemetry.telemetry.providers.open_telemetry import OpenTelemetry
+from helixtelemetry.telemetry.spans.telemetry_span_creator import TelemetrySpanCreator
+from helixtelemetry.telemetry.spans.telemetry_span_wrapper import TelemetrySpanWrapper
+from helixtelemetry.telemetry.structures.telemetry_attribute_value import (
+    TelemetryAttributeValue,
+)
+from helixtelemetry.telemetry.structures.telemetry_parent import TelemetryParent
+
 from pyspark.ml.base import Transformer
 from pyspark.sql.dataframe import DataFrame
 
@@ -31,27 +40,6 @@
 from spark_pipeline_framework.utilities.spark_data_frame_helpers import (
     spark_list_catalog_table_names,
 )
-from spark_pipeline_framework.utilities.telemetry.telemetry_attribute_value import (
-    TelemetryAttributeValue,
-)
-from spark_pipeline_framework.utilities.telemetry.telemetry_context import (
-    TelemetryContext,
-)
-from spark_pipeline_framework.utilities.telemetry.telemetry_factory import (
-    TelemetryFactory,
-)
-from spark_pipeline_framework.utilities.telemetry.telemetry_parent import (
-    TelemetryParent,
-)
-from spark_pipeline_framework.utilities.telemetry.telemetry_provider import (
-    TelemetryProvider,
-)
-from spark_pipeline_framework.utilities.telemetry.telemetry_span_creator import (
-    TelemetrySpanCreator,
-)
-from spark_pipeline_framework.utilities.telemetry.telemetry_span_wrapper import (
-    TelemetrySpanWrapper,
-)
 
 
 class FrameworkPipeline(Transformer, LoopIdMixin, TelemetryParentMixin):
@@ -117,9 +105,9 @@ def __init__(
                         telemetry_context
                         or TelemetryContext(
                             provider=(
-                                TelemetryProvider.OPEN_TELEMETRY
+                                OpenTelemetry.telemetry_provider
                                 if self.telemetry_enable
-                                else TelemetryProvider.NULL
+                                else NullTelemetry.telemetry_provider
                             ),
                             service_name=os.getenv(
                                 "OTEL_SERVICE_NAME", "helix-pipelines"
@@ -232,10 +220,6 @@ async def _transform_async(self, df: DataFrame) -> DataFrame:
                                     telemetry_parent=transformer_span.create_child_telemetry_parent()
                                 )
 
-                            self.progress_logger.start_mlflow_run(
-                                run_name=stage_name, is_nested=True
-                            )
-
                             with ProgressLogMetric(
                                 progress_logger=self.progress_logger,
                                 name=str(stage_name) or "unknown",
@@ -253,7 +237,6 @@ async def _transform_async(self, df: DataFrame) -> DataFrame:
                                     pipeline_name,
                                     event_text=f"Finished pipeline step {stage_name}",
                                 )
-                            self.progress_logger.end_mlflow_run()
                         except Exception as e:
                             logger.error(
                                 f"!!!!!!!!!!!!! pipeline [{pipeline_name}] transformer "
@@ -285,8 +268,6 @@ async def _transform_async(self, df: DataFrame) -> DataFrame:
                                 event_text=str(e),
                                 ex=e,
                             )
-                            self.progress_logger.end_mlflow_run(status=RunStatus.FAILED)  # type: ignore
-
                             raise e
 
                 self.progress_logger.log_event(