diff --git a/.github/workflows/osml-model-runner-test-build.yml b/.github/workflows/osml-model-runner-test-build.yml index d3a6231..1a5df76 100644 --- a/.github/workflows/osml-model-runner-test-build.yml +++ b/.github/workflows/osml-model-runner-test-build.yml @@ -1,4 +1,4 @@ -name: "OSML Models Build Workflow" +name: "OSML Model Runner Test Build Workflow" on: pull_request: diff --git a/bin/process_image.py b/bin/process_image.py index f4560f8..d8c6693 100644 --- a/bin/process_image.py +++ b/bin/process_image.py @@ -40,16 +40,17 @@ # set up a cli tool for the script using argparse parser = argparse.ArgumentParser("process_image") -parser.add_argument("--image", help="The target image URL to process with OSML Model Runner.", type=str, default="small") -parser.add_argument("--model", help="The target model to use for object detection.", type=str, default="centerpoint") +parser.add_argument("--image", help="Target image URL to process with OSML Model Runner.", type=str, default="small") +parser.add_argument("--model", help="Target model to use for object detection.", type=str, default="centerpoint") parser.add_argument("--skip_integ", help="Whether or not to compare image with known results.", action="store_true") -parser.add_argument("--tile_format", help="The target tile format to use for tiling.", type=str) -parser.add_argument("--tile_compression", help="The compression used for the target image.", type=str) -parser.add_argument("--tile_size", help="The tile size to split the image into for model processing.", type=str) -parser.add_argument("--tile_overlap", help="The tile overlap to consider when processing regions.", type=str) -parser.add_argument("--feature_selection_options", help="The feature selection options JSON string.", type=str) -parser.add_argument("--region", help="The AWS region OSML is deployed to.", type=str, default=default_region) -parser.add_argument("--account", help="The AWS account OSML is deployed to.", type=str, default=default_account) +parser.add_argument("--tile_format", help="Target tile format to use for tiling.", type=str) +parser.add_argument("--tile_compression", help="Compression used for the target image.", type=str) +parser.add_argument("--tile_size", help="Tile size to split the image into for model processing.", type=str) +parser.add_argument("--tile_overlap", help="Tile overlap to consider when processing regions.", type=str) +parser.add_argument("--feature_selection_options", help="Feature selection options JSON string.", type=str) +parser.add_argument("--region", help="AWS region OSML is deployed to.", type=str, default=default_region) +parser.add_argument("--account", help="AWS account OSML is deployed to.", type=str, default=default_account) +parser.add_argument("--endpoint_type", help="Type of model endpoint to test, sm or http.", type=str, default="sm") args = parser.parse_args() # standard test images deployed by CDK @@ -67,7 +68,7 @@ "sicd_interferometric_hh_ntf": f"s3://{image_bucket}/sicd-interferometric-hh.nitf", } -# call into root directory of this package so that we can run this script from anywhere. +# call into the root directory of this package so that we can run this script from anywhere. os.chdir(os.path.join(os.path.dirname(os.path.abspath(__file__)), "..")) # set the python path to include the project source @@ -95,6 +96,6 @@ test = "src/aws/osml/process_image/test_process_image.py" else: # run integration test against known results - test = f"src/aws/osml/integ/{args.model}/test_{args.model}_model.py" + test = f"src/aws/osml/integ/{args.endpoint_type}_{args.model}/test_{args.endpoint_type}_{args.model}_model.py" subprocess.run(["python3", "-m", "pytest", "-o", "log_cli=true", "-vv", test]) diff --git a/environment-py311.yml b/environment-py311.yml index fd68cfe..ab86302 100644 --- a/environment-py311.yml +++ b/environment-py311.yml @@ -3,5 +3,5 @@ channels: - conda-forge dependencies: - conda-forge::python=3.11 - - conda-forge::gdal=3.7.0 - - conda-forge::proj=9.2.1 + - conda-forge::gdal=3.7.2 + - conda-forge::proj=9.3.0 diff --git a/environment.yml b/environment.yml index 5054778..80f6d82 100644 --- a/environment.yml +++ b/environment.yml @@ -1,6 +1,6 @@ -name: osml_model_runner_test +name: osml_models channels: - conda-forge dependencies: - - conda-forge::gdal=3.7.0 - - conda-forge::proj=9.2.1 + - conda-forge::gdal=3.7.2 + - conda-forge::proj=9.3.0 diff --git a/setup.cfg b/setup.cfg index 444d445..cb21e95 100755 --- a/setup.cfg +++ b/setup.cfg @@ -44,6 +44,7 @@ install_requires = geojson==3.0.1 pytest==7.3.1 setuptools==68.0.0 + toml==0.10.2 [options.packages.find] diff --git a/src/aws/osml/integ/__init__.py b/src/aws/osml/integ/http_centerpoint/__init__.py similarity index 100% rename from src/aws/osml/integ/__init__.py rename to src/aws/osml/integ/http_centerpoint/__init__.py diff --git a/src/aws/osml/integ/http_centerpoint/test_http_centerpoint_model.py b/src/aws/osml/integ/http_centerpoint/test_http_centerpoint_model.py new file mode 100644 index 0000000..926f575 --- /dev/null +++ b/src/aws/osml/integ/http_centerpoint/test_http_centerpoint_model.py @@ -0,0 +1,69 @@ +# Copyright 2023 Amazon.com, Inc. or its affiliates. + +import logging + +from aws.osml.utils import ( + OSMLConfig, + count_features, + count_region_request_items, + ddb_client, + elb_client, + kinesis_client, + run_model_on_image, + s3_client, + sqs_client, + validate_expected_region_request_items, + validate_features_match, +) + +logger = logging.getLogger() +logger.setLevel(logging.INFO) + + +def test_model_runner_centerpoint_http_model() -> None: + """ + Run the test using the CenterPointModel and validate the number of features + and region requests using the HTTP endpoint + + :return: None + """ + + if OSMLConfig.HTTP_CENTERPOINT_MODEL_URL: + http_endpoint_url = OSMLConfig.HTTP_CENTERPOINT_MODEL_URL + else: + http_endpoint_dns = get_load_balancer_dns_url(OSMLConfig.HTTP_CENTERPOINT_MODEL_ELB_NAME) + http_endpoint_url = f"http://{http_endpoint_dns}{OSMLConfig.HTTP_CENTERPOINT_MODEL_INFERENCE_PATH}" + + # launch our image request and validate it completes + image_id, job_id, image_processing_request, shard_iter = run_model_on_image( + sqs_client(), http_endpoint_url, "HTTP_ENDPOINT", kinesis_client() + ) + + # count the created features in the table for this image + count_features(image_id=image_id, ddb_client=ddb_client()) + + # verify the results we created in the appropriate syncs + validate_features_match( + image_processing_request=image_processing_request, + job_id=job_id, + shard_iter=shard_iter, + s3_client=s3_client(), + kinesis_client=kinesis_client(), + ) + + # validate the number of region requests that were created in the process and check if they are succeeded + region_request_count = count_region_request_items(image_id=image_id, ddb_client=ddb_client()) + validate_expected_region_request_items(region_request_count) + + +def get_load_balancer_dns_url(load_balancer_name: str) -> str: + """ + Get the DNS URL for the given load balancer + :param load_balancer_name: The name of the load balancer + :return: The DNS URL for the load balancer + """ + logger.debug("Retrieving DNS name for '{}'...".format(load_balancer_name)) + res = elb_client().describe_load_balancers(Names=[load_balancer_name]) + dns_name = res.get("LoadBalancers", [])[0].get("DNSName") + logger.debug("Found DNS name: {}".format(dns_name)) + return dns_name diff --git a/src/aws/osml/integ/aircraft/__init__.py b/src/aws/osml/integ/sm_aircraft/__init__.py similarity index 100% rename from src/aws/osml/integ/aircraft/__init__.py rename to src/aws/osml/integ/sm_aircraft/__init__.py diff --git a/src/aws/osml/integ/aircraft/test_aircraft_model.py b/src/aws/osml/integ/sm_aircraft/test_sm_aircraft_model.py similarity index 91% rename from src/aws/osml/integ/aircraft/test_aircraft_model.py rename to src/aws/osml/integ/sm_aircraft/test_sm_aircraft_model.py index ef2a432..2b0dd80 100644 --- a/src/aws/osml/integ/aircraft/test_aircraft_model.py +++ b/src/aws/osml/integ/sm_aircraft/test_sm_aircraft_model.py @@ -25,7 +25,7 @@ def test_model_runner_aircraft_model() -> None: # Launch our image request and validate it completes image_id, job_id, image_processing_request, kinesis_shard = run_model_on_image( - sqs_client(), OSMLConfig.SM_AIRCRAFT_MODEL, kinesis_client() + sqs_client(), OSMLConfig.SM_AIRCRAFT_MODEL, "SM_ENDPOINT", kinesis_client() ) # Count the features that were create in the table for this image diff --git a/src/aws/osml/integ/centerpoint/__init__.py b/src/aws/osml/integ/sm_centerpoint/__init__.py similarity index 100% rename from src/aws/osml/integ/centerpoint/__init__.py rename to src/aws/osml/integ/sm_centerpoint/__init__.py diff --git a/src/aws/osml/integ/centerpoint/test_centerpoint_model.py b/src/aws/osml/integ/sm_centerpoint/test_sm_centerpoint_model.py similarity index 94% rename from src/aws/osml/integ/centerpoint/test_centerpoint_model.py rename to src/aws/osml/integ/sm_centerpoint/test_sm_centerpoint_model.py index 6a9562b..26101fd 100644 --- a/src/aws/osml/integ/centerpoint/test_centerpoint_model.py +++ b/src/aws/osml/integ/sm_centerpoint/test_sm_centerpoint_model.py @@ -29,7 +29,7 @@ def test_model_runner_center_point_model() -> None: # launch our image request and validate it completes image_id, job_id, image_processing_request, shard_iter = run_model_on_image( - sqs_client(), OSMLConfig.SM_CENTERPOINT_MODEL, kinesis_client() + sqs_client(), OSMLConfig.SM_CENTERPOINT_MODEL, "SM_ENDPOINT", kinesis_client() ) # count the features that were create in the table for this image diff --git a/src/aws/osml/integ/flood/__init__.py b/src/aws/osml/integ/sm_flood/__init__.py similarity index 100% rename from src/aws/osml/integ/flood/__init__.py rename to src/aws/osml/integ/sm_flood/__init__.py diff --git a/src/aws/osml/integ/flood/test_flood_model.py b/src/aws/osml/integ/sm_flood/test_sm_flood_model.py similarity index 93% rename from src/aws/osml/integ/flood/test_flood_model.py rename to src/aws/osml/integ/sm_flood/test_sm_flood_model.py index ea53e66..22b946d 100644 --- a/src/aws/osml/integ/flood/test_flood_model.py +++ b/src/aws/osml/integ/sm_flood/test_sm_flood_model.py @@ -28,7 +28,7 @@ def test_model_runner_flood_model() -> None: # Launch our image request and validate it completes image_id, job_id, image_processing_request, kinesis_shard = run_model_on_image( - sqs_client(), OSMLConfig.SM_FLOOD_MODEL, kinesis_client() + sqs_client(), OSMLConfig.SM_FLOOD_MODEL, "SM_ENDPOINT", kinesis_client() ) # Count the features that were create in the table for this image diff --git a/src/aws/osml/utils/__init__.py b/src/aws/osml/utils/__init__.py index 198f723..15ea227 100644 --- a/src/aws/osml/utils/__init__.py +++ b/src/aws/osml/utils/__init__.py @@ -4,7 +4,7 @@ # __init__.py file. # flake8: noqa -from .clients import cw_client, ddb_client, kinesis_client, s3_client, sm_client, sqs_client +from .clients import cw_client, ddb_client, elb_client, kinesis_client, s3_client, sm_client, sqs_client from .integ_utils import ( build_image_processing_request, count_features, diff --git a/src/aws/osml/utils/clients.py b/src/aws/osml/utils/clients.py index 7d35b31..ab1d9f8 100644 --- a/src/aws/osml/utils/clients.py +++ b/src/aws/osml/utils/clients.py @@ -75,3 +75,13 @@ def cw_client() -> boto3.client: """ session = get_session_credentials() return session.client("cloudwatch", region_name=OSMLConfig.REGION) + + +def elb_client() -> boto3.client: + """ + Get resources from the default ElasticLoadBalancing session + + :return: boto3.client = ELB client + """ + session = get_session_credentials() + return session.client("elbv2", region_name=OSMLConfig.REGION) diff --git a/src/aws/osml/utils/osml_config.py b/src/aws/osml/utils/osml_config.py index 22eca87..2b2ba42 100644 --- a/src/aws/osml/utils/osml_config.py +++ b/src/aws/osml/utils/osml_config.py @@ -26,6 +26,11 @@ class OSMLConfig: SM_FLOOD_MODEL: str = os.getenv("SM_FLOOD_MODEL", "flood") SM_AIRCRAFT_MODEL: str = os.getenv("SM_AIRCRAFT_MODEL", "aircraft") + # HTTP model config + HTTP_CENTERPOINT_MODEL_URL: str = os.getenv("HTTP_CENTER_POINT_MODEL_URL", None) + HTTP_CENTERPOINT_MODEL_ELB_NAME: str = os.getenv("HTTP_CENTER_POINT_MODEL_ELB_NAME", "test-http-model-endpoint") + HTTP_CENTERPOINT_MODEL_INFERENCE_PATH = os.getenv("HTTP_CENTERPOINT_MODEL_INFERENCE_PATH", "/invocations") + # bucket name prefixes S3_RESULTS_BUCKET: str = os.getenv("S3_RESULTS_BUCKET") S3_RESULTS_BUCKET_PREFIX: str = os.getenv("S3_RESULTS_BUCKET_PREFIX", "test-results") @@ -62,5 +67,5 @@ class OSMLLoadTestConfig: S3_LOAD_TEST_RESULT_BUCKET: str = os.getenv("S3_LOAD_TEST_RESULT_BUCKET") # processing workflow - PERIODIC_SLEEP_SECS: str = 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