[AGENT-6081] Fix class label files not working for binary models

.github/workflows/docker-image.yml

@@ -3,6 +3,8 @@ name: Docker Image CI
 on:
   push:
     branches: [ "main" ]
+    paths:
+      - environments/java_codegen_monitoring/VERSION
 
 jobs:
   build:

.github/workflows/run-tests-docker.yml

@@ -0,0 +1,34 @@
+name: Docker tests
+
+on:
+  pull_request:
+    branches: [ "main" ]
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+
+    runs-on: ubuntu-latest
+
+    steps:
+      - uses: actions/checkout@v4
+
+      - name: Set up Python 3.9
+        uses: actions/setup-python@v3
+        with:
+          python-version: "3.9"
+
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install -r tests/requirements.txt
+
+      - name: Building docker image
+        run: |
+          make -C environments/java_codegen_monitoring  build
+
+      - name: Run docker tests
+        run: |
+          bash ./tests/run_docker_tests.sh

.github/workflows/run-tests.yml

@@ -1,8 +1,6 @@
 name: Basic tests
 
 on:
-  push:
-    branches: [ "main" ]
   pull_request:
     branches: [ "main" ]
 

environments/java_codegen_monitoring/Dockerfile

@@ -31,7 +31,6 @@ COPY ./*.sh ${CODE_DIR}/
 COPY ./nginx.conf /etc/nginx/nginx.conf
 
 ENV WITH_ERROR_SERVER=1
-ENV CLASS_LABELS_FILE=${CODE_DIR}/classLabels.txt
 
 ENTRYPOINT ["/opt/code/start_server.sh"]
 

environments/java_codegen_monitoring/Makefile

@@ -2,7 +2,7 @@ SHELL = /bin/sh
 
 NS := datarobot-oss
 IMAGE_NAME := mlops-sap-monitoring-scoring-code
-VERSION := 1.0.0
+VERSION := $(shell cat VERSION)
 
 REGISTRY := ghcr.io
 DOCKERFILE := Dockerfile

environments/java_codegen_monitoring/VERSION

@@ -0,0 +1 @@
+1.0.1

environments/java_codegen_monitoring/start_server.sh

@@ -17,7 +17,12 @@ fi
 
 echo
 echo "Downloading model info/jar/classes"
+echo "Target type: ${TARGET_TYPE}"
 echo
+
+if [ "${TARGET_TYPE}" = "multiclass" ]; then
+  export CLASS_LABELS_FILE="${CODE_DIR}/classLabels.txt"
+fi
 python3 download_model.py
 
 echo

tests/data/mlops-example-iris-samples.csv

@@ -0,0 +1,151 @@
+Id,SepalLengthCm,SepalWidthCm,PetalLengthCm,PetalWidthCm,Species
+1,5.1,3.5,1.4,0.2,setosa
+2,4.9,3.0,1.4,0.2,setosa
+3,4.7,3.2,1.3,0.2,setosa
+4,4.6,3.1,1.5,0.2,setosa
+5,5.0,3.6,1.4,0.2,setosa
+6,5.4,3.9,1.7,0.4,setosa
+7,4.6,3.4,1.4,0.3,setosa
+8,5.0,3.4,1.5,0.2,setosa
+9,4.4,2.9,1.4,0.2,setosa
+10,4.9,3.1,1.5,0.1,setosa
+11,5.4,3.7,1.5,0.2,setosa
+12,4.8,3.4,1.6,0.2,setosa
+13,4.8,3.0,1.4,0.1,setosa
+14,4.3,3.0,1.1,0.1,setosa
+15,5.8,4.0,1.2,0.2,setosa
+16,5.7,4.4,1.5,0.4,setosa
+17,5.4,3.9,1.3,0.4,setosa
+18,5.1,3.5,1.4,0.3,setosa
+19,5.7,3.8,1.7,0.3,setosa
+20,5.1,3.8,1.5,0.3,setosa
+21,5.4,3.4,1.7,0.2,setosa
+22,5.1,3.7,1.5,0.4,setosa
+23,4.6,3.6,1.0,0.2,setosa
+24,5.1,3.3,1.7,0.5,setosa
+25,4.8,3.4,1.9,0.2,setosa
+26,5.0,3.0,1.6,0.2,setosa
+27,5.0,3.4,1.6,0.4,setosa
+28,5.2,3.5,1.5,0.2,setosa
+29,5.2,3.4,1.4,0.2,setosa
+30,4.7,3.2,1.6,0.2,setosa
+31,4.8,3.1,1.6,0.2,setosa
+32,5.4,3.4,1.5,0.4,setosa
+33,5.2,4.1,1.5,0.1,setosa
+34,5.5,4.2,1.4,0.2,setosa
+35,4.9,3.1,1.5,0.1,setosa
+36,5.0,3.2,1.2,0.2,setosa
+37,5.5,3.5,1.3,0.2,setosa
+38,4.9,3.1,1.5,0.1,setosa
+39,4.4,3.0,1.3,0.2,setosa
+40,5.1,3.4,1.5,0.2,setosa
+41,5.0,3.5,1.3,0.3,setosa
+42,4.5,2.3,1.3,0.3,setosa
+43,4.4,3.2,1.3,0.2,setosa
+44,5.0,3.5,1.6,0.6,setosa
+45,5.1,3.8,1.9,0.4,setosa
+46,4.8,3.0,1.4,0.3,setosa
+47,5.1,3.8,1.6,0.2,setosa
+48,4.6,3.2,1.4,0.2,setosa
+49,5.3,3.7,1.5,0.2,setosa
+50,5.0,3.3,1.4,0.2,setosa
+51,7.0,3.2,4.7,1.4,versicolor
+52,6.4,3.2,4.5,1.5,versicolor
+53,6.9,3.1,4.9,1.5,versicolor
+54,5.5,2.3,4.0,1.3,versicolor
+55,6.5,2.8,4.6,1.5,versicolor
+56,5.7,2.8,4.5,1.3,versicolor
+57,6.3,3.3,4.7,1.6,versicolor
+58,4.9,2.4,3.3,1.0,versicolor
+59,6.6,2.9,4.6,1.3,versicolor
+60,5.2,2.7,3.9,1.4,versicolor
+61,5.0,2.0,3.5,1.0,versicolor
+62,5.9,3.0,4.2,1.5,versicolor
+63,6.0,2.2,4.0,1.0,versicolor
+64,6.1,2.9,4.7,1.4,versicolor
+65,5.6,2.9,3.6,1.3,versicolor
+66,6.7,3.1,4.4,1.4,versicolor
+67,5.6,3.0,4.5,1.5,versicolor
+68,5.8,2.7,4.1,1.0,versicolor
+69,6.2,2.2,4.5,1.5,versicolor
+70,5.6,2.5,3.9,1.1,versicolor
+71,5.9,3.2,4.8,1.8,versicolor
+72,6.1,2.8,4.0,1.3,versicolor
+73,6.3,2.5,4.9,1.5,versicolor
+74,6.1,2.8,4.7,1.2,versicolor
+75,6.4,2.9,4.3,1.3,versicolor
+76,6.6,3.0,4.4,1.4,versicolor
+77,6.8,2.8,4.8,1.4,versicolor
+78,6.7,3.0,5.0,1.7,versicolor
+79,6.0,2.9,4.5,1.5,versicolor
+80,5.7,2.6,3.5,1.0,versicolor
+81,5.5,2.4,3.8,1.1,versicolor
+82,5.5,2.4,3.7,1.0,versicolor
+83,5.8,2.7,3.9,1.2,versicolor
+84,6.0,2.7,5.1,1.6,versicolor
+85,5.4,3.0,4.5,1.5,versicolor
+86,6.0,3.4,4.5,1.6,versicolor
+87,6.7,3.1,4.7,1.5,versicolor
+88,6.3,2.3,4.4,1.3,versicolor
+89,5.6,3.0,4.1,1.3,versicolor
+90,5.5,2.5,4.0,1.3,versicolor
+91,5.5,2.6,4.4,1.2,versicolor
+92,6.1,3.0,4.6,1.4,versicolor
+93,5.8,2.6,4.0,1.2,versicolor
+94,5.0,2.3,3.3,1.0,versicolor
+95,5.6,2.7,4.2,1.3,versicolor
+96,5.7,3.0,4.2,1.2,versicolor
+97,5.7,2.9,4.2,1.3,versicolor
+98,6.2,2.9,4.3,1.3,versicolor
+99,5.1,2.5,3.0,1.1,versicolor
+100,5.7,2.8,4.1,1.3,versicolor
+101,6.3,3.3,6.0,2.5,virginica
+102,5.8,2.7,5.1,1.9,virginica
+103,7.1,3.0,5.9,2.1,virginica
+104,6.3,2.9,5.6,1.8,virginica
+105,6.5,3.0,5.8,2.2,virginica
+106,7.6,3.0,6.6,2.1,virginica
+107,4.9,2.5,4.5,1.7,virginica
+108,7.3,2.9,6.3,1.8,virginica
+109,6.7,2.5,5.8,1.8,virginica
+110,7.2,3.6,6.1,2.5,virginica
+111,6.5,3.2,5.1,2.0,virginica
+112,6.4,2.7,5.3,1.9,virginica
+113,6.8,3.0,5.5,2.1,virginica
+114,5.7,2.5,5.0,2.0,virginica
+115,5.8,2.8,5.1,2.4,virginica
+116,6.4,3.2,5.3,2.3,virginica
+117,6.5,3.0,5.5,1.8,virginica
+118,7.7,3.8,6.7,2.2,virginica
+119,7.7,2.6,6.9,2.3,virginica
+120,6.0,2.2,5.0,1.5,virginica
+121,6.9,3.2,5.7,2.3,virginica
+122,5.6,2.8,4.9,2.0,virginica
+123,7.7,2.8,6.7,2.0,virginica
+124,6.3,2.7,4.9,1.8,virginica
+125,6.7,3.3,5.7,2.1,virginica
+126,7.2,3.2,6.0,1.8,virginica
+127,6.2,2.8,4.8,1.8,virginica
+128,6.1,3.0,4.9,1.8,virginica
+129,6.4,2.8,5.6,2.1,virginica
+130,7.2,3.0,5.8,1.6,virginica
+131,7.4,2.8,6.1,1.9,virginica
+132,7.9,3.8,6.4,2.0,virginica
+133,6.4,2.8,5.6,2.2,virginica
+134,6.3,2.8,5.1,1.5,virginica
+135,6.1,2.6,5.6,1.4,virginica
+136,7.7,3.0,6.1,2.3,virginica
+137,6.3,3.4,5.6,2.4,virginica
+138,6.4,3.1,5.5,1.8,virginica
+139,6.0,3.0,4.8,1.8,virginica
+140,6.9,3.1,5.4,2.1,virginica
+141,6.7,3.1,5.6,2.4,virginica
+142,6.9,3.1,5.1,2.3,virginica
+143,5.8,2.7,5.1,1.9,virginica
+144,6.8,3.2,5.9,2.3,virginica
+145,6.7,3.3,5.7,2.5,virginica
+146,6.7,3.0,5.2,2.3,virginica
+147,6.3,2.5,5.0,1.9,virginica
+148,6.5,3.0,5.2,2.0,virginica
+149,6.2,3.4,5.4,2.3,virginica
+150,5.9,3.0,5.1,1.8,virginica

tests/integration/conftest.py

@@ -0,0 +1,112 @@
+"""
+Copyright 2024 DataRobot, Inc. and its affiliates.
+All rights reserved.
+This is proprietary source code of DataRobot, Inc. and its affiliates.
+Released under the terms of DataRobot Tool and Utility Agreement.
+"""
+
+import logging
+import multiprocessing
+from http import HTTPStatus
+from multiprocessing import Process
+from pathlib import Path
+
+import pytest
+from flask import Flask, request, send_file
+
+multiprocessing.set_start_method("fork")
+
+
+TEST_DIR = Path(__file__).parent.parent
+logger = logging.getLogger("datarobot.sap.integration")
+
+
+@pytest.fixture(scope="session")
+def model_packages():
+    return {
+        "iris_multiclass_package": {
+            "details": {
+                "id": "iris_multiclass_package",
+                "name": "Multiclass Model",
+                "modelId": "668c763b57e16e20e29e67e",
+                "target": {
+                    "name": "Species",
+                    "type": "multiclass",
+                    "classNames": ["viginica c g", "versicolor", "setosa color"],
+                },
+            },
+            "model_dataset": TEST_DIR / "data" / "mlops-example-iris-samples.csv",
+            "model_jar": TEST_DIR / "data" / "ScoringCodeIrisSamples.jar",
+        },
+        "10k_diabetes_package": {
+            "details": {
+                "id": "10k_diabetes_package",
+                "name": "Binary Model",
+                "modelId": "668c763b57e16e20e29e67e",
+                "target": {
+                    "name": "readmitted",
+                    "type": "binary",
+                    "classNames": ["True", "False"],
+                },
+            },
+            "model_dataset": TEST_DIR / "data" / "mlops-example-10k-diabetes.csv",
+            "model_jar": TEST_DIR / "data" / "CodeGen10KDiabetes.jar",
+        },
+    }
+
+
+@pytest.fixture(scope="session")
+def mock_dr_app_port():
+    return 33993
+
+
+@pytest.fixture
+def mock_dr_app(model_packages, mock_dr_app_port):
+    app = Flask(__name__)
+
+    @app.route("/api/v2/version/", methods=["GET"])
+    def get_version():
+        version = {"major": 2, "minor": 35, "versionString": "2.35.0"}
+        return version, HTTPStatus.OK
+
+    @app.route("/api/v2/modelPackages/<model_package_id>/", methods=["GET"])
+    def get_model_packages(model_package_id):
+        return model_packages.get(model_package_id, {}).get("details")
+
+    @app.route(
+        "/api/v2/status/<model_package_id>/",
+        methods=["GET"],
+    )
+    def model_pacakge_builds_status(model_package_id):
+        download_url = (
+            f"{request.host_url}api/v2/modelPackages/{model_package_id}/download/"
+        )
+        return {}, HTTPStatus.SEE_OTHER, {"Location": download_url}
+
+    @app.route(
+        "/api/v2/modelPackages/<model_package_id>/download/",
+        methods=["GET"],
+    )
+    def model_pacakge_builds_download(model_package_id):
+        model_jar_filename = model_packages.get(model_package_id, {}).get("model_jar")
+        return send_file(
+            str(model_jar_filename), as_attachment=True, download_name="model.jar"
+        )
+
+    @app.route(
+        "/api/v2/modelPackages/<model_package_id>/scoringCodeBuilds/", methods=["POST"]
+    )
+    def model_pacakge_builds(model_package_id):
+        status_url = f"{request.host_url}api/v2/status/{model_package_id}/"
+        return "", HTTPStatus.ACCEPTED, {"location": status_url}
+
+    def start_app():
+        app.run(host="0.0.0.0", port=mock_dr_app_port)
+
+    server = Process(target=start_app)
+    server.start()
+
+    yield
+
+    logger.info("Shutting down mock server")
+    server.terminate()