From 25d1aaab9c4605064a8339825fc87b0b8dc780da Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Sat, 23 Nov 2024 00:16:26 +0000 Subject: [PATCH 01/38] test with k3s --- Makefile | 4 ++ deploy/bin/setup-ee.sh | 37 +++++++++++---- .../k3s/edge_deployment/edge_deployment.yaml | 2 +- deploy/k3s/efs_persistent_volume.yaml | 4 +- deploy/k3s/local_persistent_volume.yaml | 4 +- test/api/test_health.py | 2 + test/api/test_image_queries_live.py | 15 +++--- test/setup_k3s_test_environment.sh | 46 +++++++++++++++++++ 8 files changed, 92 insertions(+), 22 deletions(-) create mode 100755 test/setup_k3s_test_environment.sh diff --git a/Makefile b/Makefile index 0963e547..18b0e0d6 100644 --- a/Makefile +++ b/Makefile @@ -1,4 +1,5 @@ .PHONY: install install-lint install-pre-commit test test-with-docker test-all lint format +SHELL := /bin/bash install: poetry install --no-root @@ -18,6 +19,9 @@ test-with-docker: install ## Run tests that require a live edge-endpoint server test-all: test test-with-docker ## Run all tests in one make command @echo "All tests completed." +test-with-k3s: + . test/setup_k3s_test_environment.sh && poetry run pytest -k + # Adjust which paths we lint LINT_PATHS="app test" diff --git a/deploy/bin/setup-ee.sh b/deploy/bin/setup-ee.sh index dbb681f4..28b9f434 100755 --- a/deploy/bin/setup-ee.sh +++ b/deploy/bin/setup-ee.sh @@ -14,7 +14,6 @@ # - DEPLOYMENT_NAMESPACE: The namespace for deployment. Defaults to the current namespace. # - RUN_EDGE_ENDPOINT: Controls the launch of edge endpoint pods. # - If set, the edge-endpoint pods will be launched. If not set, pods will not be launched. - set -ex # If we're in a container, sudo won't be available. But otherwise there are commands where we want sudo. @@ -74,6 +73,16 @@ K="$K -n $DEPLOYMENT_NAMESPACE" # move to the root directory of the repo cd "$(dirname "$0")"/../.. + +# Replace some configurable values in our deployment manifests, +# if they are provided in environment variables. + +# Most users do not need to think about these. + +PERSISTENT_VOLUME_NAME=${PERSISTENT_VOLUME_NAME:-"edge-endpoint-pv"} +PERSISTENT_VOLUME_CLAIM_NAME=${PERSISTENT_VOLUME_CLAIM_NAME:-"edge-endpoint-pvc"} +EDGE_ENDPOINT_PORT=${EDGE_ENDPOINT_PORT:-30101} + # Create Secrets if ! ./deploy/bin/make-aws-secret.sh; then echo "Failed to execute make-aws-secret.sh successfully. Exiting." @@ -137,29 +146,33 @@ $K get service -o custom-columns=":metadata.name" --no-headers=true | \ # Check if DEPLOY_LOCAL_VERSION is set. If so, use a local volume instead of an EFS volume if [[ "${DEPLOY_LOCAL_VERSION}" == "1" ]]; then - if ! check_pv_conflict "edge-endpoint-pv" "local-sc"; then - fail "PersistentVolume edge-endpoint-pv conflicts with the existing resource." + if ! check_pv_conflict "$PERSISTENT_VOLUME_NAME" "local-sc"; then + fail "PersistentVolume $PERSISTENT_VOLUME_NAME conflicts with the existing resource." fi - $K apply -f deploy/k3s/local_persistent_volume.yaml + # Use envsubst to replace the PERSISTENT_VOLUME_NAME, PERSISTENT_VOLUME_NAME in the local_persistent_volume.yaml template + envsubst < deploy/k3s/local_persistent_volume.yaml > deploy/k3s/local_persistentvolume.yaml + $K apply -f deploy/k3s/local_persistentvolume.yaml + rm deploy/k3s/local_persistentvolume.yaml else # If environment variable EFS_VOLUME_ID is not set, exit if [[ -z "${EFS_VOLUME_ID}" ]]; then fail "EFS_VOLUME_ID environment variable not set" fi - if ! check_pv_conflict "edge-endpoint-pv" "efs-sc"; then - fail "PersistentVolume edge-endpoint-pv conflicts with the existing resource." + if ! check_pv_conflict "$PERSISTENT_VOLUME_NAME" "efs-sc"; then + fail "PersistentVolume $PERSISTENT_VOLUME_NAME conflicts with the existing resource." fi - # Use envsubst to replace the EFS_VOLUME_ID in the persistentvolumeclaim.yaml template + # Use envsubst to replace the EFS_VOLUME_ID, PERSISTENT_VOLUME_NAME, PERSISTENT_PERSISTENT_VOLUME_NAMEVOLUME_CLAIM_NAME + # in the persistentvolumeclaim.yaml template envsubst < deploy/k3s/efs_persistent_volume.yaml > deploy/k3s/persistentvolume.yaml $K apply -f deploy/k3s/persistentvolume.yaml rm deploy/k3s/persistentvolume.yaml fi -# Check if the edge-endpoint-pvc exists. If not, create it -if ! $K get pvc edge-endpoint-pvc; then +# Check if the persistent volume claim exists. If not, create it +if ! $K get pvc "$PERSISTENT_VOLUME_CLAIM_NAME"; then # If environment variable EFS_VOLUME_ID is not set, exit if [[ -z "${EFS_VOLUME_ID}" ]]; then fail "EFS_VOLUME_ID environment variable not set" @@ -179,6 +192,10 @@ $K apply -f deploy/k3s/service_account.yaml.tmp rm deploy/k3s/service_account.yaml.tmp $K apply -f deploy/k3s/inference_deployment/warmup_inference_model.yaml -$K apply -f deploy/k3s/edge_deployment/edge_deployment.yaml + +# Substitutes the EDGE_ENDPOINT_PORT +envsubst < deploy/k3s/edge_deployment/edge_deployment.yaml > deploy/k3s/edge_deployment/edge_deployment.yaml.tmp +$K apply -f deploy/k3s/edge_deployment/edge_deployment.yaml.tmp +rm deploy/k3s/edge_deployment/edge_deployment.yaml.tmp $K describe deployment edge-endpoint \ No newline at end of file diff --git a/deploy/k3s/edge_deployment/edge_deployment.yaml b/deploy/k3s/edge_deployment/edge_deployment.yaml index ffff4560..6459ad56 100644 --- a/deploy/k3s/edge_deployment/edge_deployment.yaml +++ b/deploy/k3s/edge_deployment/edge_deployment.yaml @@ -16,7 +16,7 @@ spec: - protocol: TCP # Service port for NGINX port: 6717 - nodePort: 30101 + nodePort: ${EDGE_ENDPOINT_PORT} type: NodePort --- apiVersion: apps/v1 diff --git a/deploy/k3s/efs_persistent_volume.yaml b/deploy/k3s/efs_persistent_volume.yaml index c6a583ce..64e5b9e7 100644 --- a/deploy/k3s/efs_persistent_volume.yaml +++ b/deploy/k3s/efs_persistent_volume.yaml @@ -1,7 +1,7 @@ apiVersion: v1 kind: PersistentVolume metadata: - name: edge-endpoint-pv + name: ${PERSISTENT_VOLUME_NAME} spec: capacity: storage: 2Gi @@ -17,7 +17,7 @@ spec: apiVersion: v1 kind: PersistentVolumeClaim metadata: - name: edge-endpoint-pvc + name: ${PERSISTENT_VOLUME_CLAIM_NAME} spec: accessModes: - ReadWriteOnce diff --git a/deploy/k3s/local_persistent_volume.yaml b/deploy/k3s/local_persistent_volume.yaml index d859191e..e1f7410d 100644 --- a/deploy/k3s/local_persistent_volume.yaml +++ b/deploy/k3s/local_persistent_volume.yaml @@ -1,7 +1,7 @@ apiVersion: v1 kind: PersistentVolume metadata: - name: edge-endpoint-pv + name: ${PERSISTENT_VOLUME_NAME} spec: capacity: storage: 2Gi @@ -15,7 +15,7 @@ spec: apiVersion: v1 kind: PersistentVolumeClaim metadata: - name: edge-endpoint-pvc + name: ${PERSISTENT_VOLUME_CLAIM_NAME} spec: accessModes: - ReadWriteOnce diff --git a/test/api/test_health.py b/test/api/test_health.py index 24773d2a..ec3195a6 100644 --- a/test/api/test_health.py +++ b/test/api/test_health.py @@ -3,9 +3,11 @@ from app.api.api import HEALTH from app.api.naming import path_prefix +import pdb def test_readiness_endpoint(test_client: TestClient): + pdb.set_trace() url = path_prefix(HEALTH) + "/ready" response = test_client.get(url) assert response.status_code == status.HTTP_200_OK diff --git a/test/api/test_image_queries_live.py b/test/api/test_image_queries_live.py index 60ea9a90..c7662003 100644 --- a/test/api/test_image_queries_live.py +++ b/test/api/test_image_queries_live.py @@ -1,4 +1,5 @@ import time +import os import pytest import requests @@ -11,7 +12,7 @@ # Tests in this file require a live edge-endpoint server and GL Api token in order to run. # Not ideal for unit-testing. -TEST_ENDPOINT = "http://localhost:6717" +TEST_ENDPOINT = os.getenv("LIVE_TEST_ENDPOINT", "http://localhost:6717") MAX_WAIT_TIME_S = 60 # Detector ID associated with the detector with parameters @@ -20,7 +21,8 @@ # - confidence_threshold=0.9 DETECTOR_ID = "det_2SagpFUrs83cbMZsap5hZzRjZw4" - +import pdb +@pytest.mark.live @pytest.fixture(scope="module", autouse=True) def ensure_edge_endpoint_is_live_and_ready(): """Ensure that the edge-endpoint server is live and ready before running tests.""" @@ -28,6 +30,7 @@ def ensure_edge_endpoint_is_live_and_ready(): final_exception = None while time.time() - start_time < MAX_WAIT_TIME_S: try: + pdb.set_trace() live_response = requests.get(TEST_ENDPOINT + "/health/live") live_response.raise_for_status() ready_response = requests.get(TEST_ENDPOINT + "/health/ready") @@ -39,26 +42,24 @@ def ensure_edge_endpoint_is_live_and_ready(): time.sleep(1) # wait for 1 second before retrying pytest.fail(f"Edge endpoint is not live and ready after polling for {MAX_WAIT_TIME_S} seconds. {final_exception=}") - @pytest.fixture(name="gl") def fixture_gl() -> Groundlight: """Create a Groundlight client object.""" return Groundlight(endpoint=TEST_ENDPOINT) - @pytest.fixture def detector(gl: Groundlight) -> Detector: """Retrieve the detector using the Groundlight client.""" return gl.get_detector(id=DETECTOR_ID) - +@pytest.mark.live def test_post_image_query_via_sdk(gl: Groundlight, detector: Detector): """Test that submitting an image query using the edge server proceeds without failure.""" image_bytes = pil_image_to_bytes(img=Image.open("test/assets/dog.jpeg")) iq = gl.submit_image_query(detector=detector.id, image=image_bytes, wait=10.0) assert iq is not None, "ImageQuery should not be None." - +@pytest.mark.live def test_post_image_query_via_sdk_want_async(gl: Groundlight, detector: Detector): """Test that submitting an image query with want_async=True forwards directly to the cloud.""" image_bytes = pil_image_to_bytes(img=Image.open("test/assets/dog.jpeg")) @@ -67,7 +68,7 @@ def test_post_image_query_via_sdk_want_async(gl: Groundlight, detector: Detector assert iq.id.startswith("iq_"), "ImageQuery id should start with 'iq_' because it was created on the cloud." assert iq.result is None, "Result should be None because the query is still being processed." - +@pytest.mark.live def test_post_image_query_via_sdk_with_metadata_throws_400(gl: Groundlight, detector: Detector): """Test that submitting an image query with metadata raises a 400 error.""" image_bytes = pil_image_to_bytes(img=Image.open("test/assets/dog.jpeg")) diff --git a/test/setup_k3s_test_environment.sh b/test/setup_k3s_test_environment.sh new file mode 100755 index 00000000..20761425 --- /dev/null +++ b/test/setup_k3s_test_environment.sh @@ -0,0 +1,46 @@ +#!/bin/bash + +# This script will setup the k3s testing environment. Once you've run them you can run the +# live tests, which will hit the API service that got setup +# Altogether, you can run everything with: +# > make test-with-k3s + +# The following detector IDs correspond to the "dog" and "cat" detectors. + + +cd "$(dirname "$0")" + +if [ -z "$GROUNDLIGHT_API_TOKEN" ]; then + echo "Error: GROUNDLIGHT_API_TOKEN environment variable is not set." + exit 1 +fi + +if ! command -v k3s &> /dev/null +then + echo "Error: you must have k3s setup" + exit 1 +fi +export PERSISTENT_VOLUME_NAME="test-with-k3s-pv" +export PERSISTENT_VOLUME_CLAIM_NAME="test-with-k3s-pvc" +export EDGE_ENDPOINT_PORT="30107" + +# # now we should delete the persistant volume before, in case it's in a bad state +# Check if the persistent volume exists +if kubectl get pv "$PERSISTENT_VOLUME_NAME" &> /dev/null; then + echo "Persistent volume $PERSISTENT_VOLUME_NAME exists. Deleting it..." + kubectl delete pv "$PERSISTENT_VOLUME_NAME" + echo "Persistent volume $PERSISTENT_VOLUME_NAME deleted." +else + echo "Persistent volume $PERSISTENT_VOLUME_NAME does not exist. No action needed." +fi + + +export DEPLOYMENT_NAMESPACE="test-with-k3s" +if ! kubectl get namespace $DEPLOYMENT_NAMESPACE &> /dev/null; then + kubectl create namespace $DEPLOYMENT_NAMESPACE +fi + +export INFERENCE_FLAVOR="CPU" +./../deploy/bin/setup-ee.sh + +export LIVE_TEST_ENDPOINT="http://localhost:$EDGE_ENDPOINT_PORT" From 87663277c105eb96db6943d67918116298fd879b Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Sat, 23 Nov 2024 00:25:54 +0000 Subject: [PATCH 02/38] more stuff --- .github/workflows/pipeline.yaml | 55 +++++++++++++++++++++++++++++ Makefile | 4 +-- test/api/test_health.py | 1 - test/api/test_image_queries_live.py | 1 - test/setup_k3s_test_environment.sh | 4 ++- 5 files changed, 59 insertions(+), 6 deletions(-) diff --git a/.github/workflows/pipeline.yaml b/.github/workflows/pipeline.yaml index 63f9d4e7..95eb911f 100644 --- a/.github/workflows/pipeline.yaml +++ b/.github/workflows/pipeline.yaml @@ -98,6 +98,61 @@ jobs: # the previous steps if: always() run: docker stop ${{ steps.start_container.outputs.container_id }} + + test-with-k3s: + runs-on: ubuntu-22.04 + steps: + - name: Check out code + uses: actions/checkout@v3 + + - name: Set up python + uses: actions/setup-python@v4 + with: + python-version: ${{ env.PYTHON_VERSION }} + + - name: Install k3s + run: | + curl -sfL https://get.k3s.io | sh - + + - name: Set up k3s test environment + run: | + source test/setup_k3s_test_environment.sh + + - name: Install poetry + uses: snok/install-poetry@v1 + with: + version: ${{ env.POETRY_VERSION }} + virtualenvs-create: true + virtualenvs-in-project: true + installer-parallel: true + + - name: Load Cached venv + id: cached-poetry-dependencies + uses: actions/cache@v3 + with: + path: .venv + key: ${{ runner.os }}-poetry-${{ hashFiles('poetry.lock') }} + restore-keys: | + ${{ runner.os }}-poetry- + + - name: Install dependencies + if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true' + run: poetry install --no-root + + - name: Run tests with k3s + run: | + source test/setup_k3s_test_environment.sh + poetry run pytest -k "_live" + + - name: Dump Logs from k3s + if: always() + run: kubectl logs -n test-with-k3s + + - name: Clean up k3s + if: always() + run: | + kubectl delete namespace test-with-k3s + kubectl delete pv test-with-k3s-pv # Run Groundlight SDK tests against the edge proxy endpoint test-sdk: diff --git a/Makefile b/Makefile index 18b0e0d6..73d0768e 100644 --- a/Makefile +++ b/Makefile @@ -1,6 +1,4 @@ .PHONY: install install-lint install-pre-commit test test-with-docker test-all lint format -SHELL := /bin/bash - install: poetry install --no-root @@ -20,7 +18,7 @@ test-all: test test-with-docker ## Run all tests in one make command @echo "All tests completed." test-with-k3s: - . test/setup_k3s_test_environment.sh && poetry run pytest -k + test/setup_k3s_test_environment.sh && poetry run pytest -m live # Adjust which paths we lint diff --git a/test/api/test_health.py b/test/api/test_health.py index ec3195a6..e630872d 100644 --- a/test/api/test_health.py +++ b/test/api/test_health.py @@ -7,7 +7,6 @@ def test_readiness_endpoint(test_client: TestClient): - pdb.set_trace() url = path_prefix(HEALTH) + "/ready" response = test_client.get(url) assert response.status_code == status.HTTP_200_OK diff --git a/test/api/test_image_queries_live.py b/test/api/test_image_queries_live.py index c7662003..507d6740 100644 --- a/test/api/test_image_queries_live.py +++ b/test/api/test_image_queries_live.py @@ -30,7 +30,6 @@ def ensure_edge_endpoint_is_live_and_ready(): final_exception = None while time.time() - start_time < MAX_WAIT_TIME_S: try: - pdb.set_trace() live_response = requests.get(TEST_ENDPOINT + "/health/live") live_response.raise_for_status() ready_response = requests.get(TEST_ENDPOINT + "/health/ready") diff --git a/test/setup_k3s_test_environment.sh b/test/setup_k3s_test_environment.sh index 20761425..49a4bd1c 100755 --- a/test/setup_k3s_test_environment.sh +++ b/test/setup_k3s_test_environment.sh @@ -9,6 +9,7 @@ cd "$(dirname "$0")" +ls if [ -z "$GROUNDLIGHT_API_TOKEN" ]; then echo "Error: GROUNDLIGHT_API_TOKEN environment variable is not set." @@ -28,7 +29,7 @@ export EDGE_ENDPOINT_PORT="30107" # Check if the persistent volume exists if kubectl get pv "$PERSISTENT_VOLUME_NAME" &> /dev/null; then echo "Persistent volume $PERSISTENT_VOLUME_NAME exists. Deleting it..." - kubectl delete pv "$PERSISTENT_VOLUME_NAME" + kubectl delete pv "$PERSISTENT_VOLUME_NAME" & echo "Persistent volume $PERSISTENT_VOLUME_NAME deleted." else echo "Persistent volume $PERSISTENT_VOLUME_NAME does not exist. No action needed." @@ -40,6 +41,7 @@ if ! kubectl get namespace $DEPLOYMENT_NAMESPACE &> /dev/null; then kubectl create namespace $DEPLOYMENT_NAMESPACE fi + export INFERENCE_FLAVOR="CPU" ./../deploy/bin/setup-ee.sh From a9ac5887e42c73991b8ca69235609080016b3f8b Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Sat, 23 Nov 2024 00:42:36 +0000 Subject: [PATCH 03/38] fix a few things up --- .github/workflows/pipeline.yaml | 77 ++--------------------------- Makefile | 6 ++- test/api/test_image_queries_live.py | 2 +- test/setup_k3s_test_environment.sh | 8 +-- 4 files changed, 10 insertions(+), 83 deletions(-) diff --git a/.github/workflows/pipeline.yaml b/.github/workflows/pipeline.yaml index 95eb911f..d164d75d 100644 --- a/.github/workflows/pipeline.yaml +++ b/.github/workflows/pipeline.yaml @@ -98,7 +98,7 @@ jobs: # the previous steps if: always() run: docker stop ${{ steps.start_container.outputs.container_id }} - + test-with-k3s: runs-on: ubuntu-22.04 steps: @@ -114,10 +114,6 @@ jobs: run: | curl -sfL https://get.k3s.io | sh - - - name: Set up k3s test environment - run: | - source test/setup_k3s_test_environment.sh - - name: Install poetry uses: snok/install-poetry@v1 with: @@ -126,33 +122,11 @@ jobs: virtualenvs-in-project: true installer-parallel: true - - name: Load Cached venv - id: cached-poetry-dependencies - uses: actions/cache@v3 - with: - path: .venv - key: ${{ runner.os }}-poetry-${{ hashFiles('poetry.lock') }} - restore-keys: | - ${{ runner.os }}-poetry- - - - name: Install dependencies - if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true' - run: poetry install --no-root - - name: Run tests with k3s - run: | - source test/setup_k3s_test_environment.sh - poetry run pytest -k "_live" + env: + GROUNDLIGHT_API_TOKEN: ${{ secrets.GROUNDLIGHT_API_TOKEN_PROD_BIGGIES }} + run: make test-with-k3s - - name: Dump Logs from k3s - if: always() - run: kubectl logs -n test-with-k3s - - - name: Clean up k3s - if: always() - run: | - kubectl delete namespace test-with-k3s - kubectl delete pv test-with-k3s-pv # Run Groundlight SDK tests against the edge proxy endpoint test-sdk: @@ -262,49 +236,6 @@ jobs: run: ./deploy/bin/build-push-edge-endpoint-image.sh - test-in-k3s: - needs: - # In order to test in k3s, we pull the latest edge-endpoint image from ECR. Which means that - # we need to build and push the image first or, we're just testing against a stale image. - - build-push-edge-endpoint-multiplatform - runs-on: ubuntu-22.04 - steps: - - name: Check out code - uses: actions/checkout@v3 - - - name: Install k3s - run: | - curl -sfL https://get.k3s.io | sh - - sudo chmod 644 /etc/rancher/k3s/k3s.yaml - sudo chown $USER /etc/rancher/k3s/k3s.yaml - # symlink to kubeconfig - mkdir -p ~/.kube - ln -s /etc/rancher/k3s/k3s.yaml ~/.kube/config - - - name: Configure AWS credentials - uses: aws-actions/configure-aws-credentials@v4 - with: - aws-access-key-id: ${{ secrets.AWS_GL_PUBLIC_ACCESS_KEY_ID }} - aws-secret-access-key: ${{ secrets.AWS_GL_PUBLIC_SECRET_ACCESS_KEY }} - aws-region: us-west-2 - - - name: Deploy the edge-endpoint yaml - run: | - set -ex - # Once there's a fix for disk-pressure issues on GHA's runner, we can uncomment the - # following command in order to set up the environment to test out edge inference - # source test/setup_inference_test_env.sh - export INFERENCE_FLAVOR="CPU" - export DEPLOYMENT_NAMESPACE="default" - bash deploy/bin/setup-ee.sh - kubectl describe deployment - - - name: Wait for edge-endpoint pod to be ready - run: | - set -ex - kubectl rollout status deployment edge-endpoint --timeout=5m - kubectl describe pod edge-endpoint - deploy-edge-preflight-balena: needs: - test-general-edge-endpoint diff --git a/Makefile b/Makefile index 73d0768e..191e6681 100644 --- a/Makefile +++ b/Makefile @@ -1,4 +1,7 @@ .PHONY: install install-lint install-pre-commit test test-with-docker test-all lint format + +SHELL := /bin/bash + install: poetry install --no-root @@ -18,8 +21,7 @@ test-all: test test-with-docker ## Run all tests in one make command @echo "All tests completed." test-with-k3s: - test/setup_k3s_test_environment.sh && poetry run pytest -m live - + . test/setup_k3s_test_environment.sh && poetry run pytest -m live # Adjust which paths we lint LINT_PATHS="app test" diff --git a/test/api/test_image_queries_live.py b/test/api/test_image_queries_live.py index 507d6740..3e520435 100644 --- a/test/api/test_image_queries_live.py +++ b/test/api/test_image_queries_live.py @@ -1,6 +1,6 @@ import time import os - +import pdb import pytest import requests from fastapi import status diff --git a/test/setup_k3s_test_environment.sh b/test/setup_k3s_test_environment.sh index 49a4bd1c..e4e9c94b 100755 --- a/test/setup_k3s_test_environment.sh +++ b/test/setup_k3s_test_environment.sh @@ -5,12 +5,6 @@ # Altogether, you can run everything with: # > make test-with-k3s -# The following detector IDs correspond to the "dog" and "cat" detectors. - - -cd "$(dirname "$0")" -ls - if [ -z "$GROUNDLIGHT_API_TOKEN" ]; then echo "Error: GROUNDLIGHT_API_TOKEN environment variable is not set." exit 1 @@ -43,6 +37,6 @@ fi export INFERENCE_FLAVOR="CPU" -./../deploy/bin/setup-ee.sh +./deploy/bin/setup-ee.sh export LIVE_TEST_ENDPOINT="http://localhost:$EDGE_ENDPOINT_PORT" From 7bcf45450c63aeb2ed817004a204221e59ae37d8 Mon Sep 17 00:00:00 2001 From: Auto-format Bot Date: Sat, 23 Nov 2024 00:43:24 +0000 Subject: [PATCH 04/38] Automatically reformatting code with black and isort --- test/api/test_health.py | 1 - test/api/test_image_queries_live.py | 11 ++++++++--- 2 files changed, 8 insertions(+), 4 deletions(-) diff --git a/test/api/test_health.py b/test/api/test_health.py index e630872d..24773d2a 100644 --- a/test/api/test_health.py +++ b/test/api/test_health.py @@ -3,7 +3,6 @@ from app.api.api import HEALTH from app.api.naming import path_prefix -import pdb def test_readiness_endpoint(test_client: TestClient): diff --git a/test/api/test_image_queries_live.py b/test/api/test_image_queries_live.py index 3e520435..40f88cf2 100644 --- a/test/api/test_image_queries_live.py +++ b/test/api/test_image_queries_live.py @@ -1,6 +1,6 @@ -import time import os -import pdb +import time + import pytest import requests from fastapi import status @@ -21,7 +21,7 @@ # - confidence_threshold=0.9 DETECTOR_ID = "det_2SagpFUrs83cbMZsap5hZzRjZw4" -import pdb + @pytest.mark.live @pytest.fixture(scope="module", autouse=True) def ensure_edge_endpoint_is_live_and_ready(): @@ -41,16 +41,19 @@ def ensure_edge_endpoint_is_live_and_ready(): time.sleep(1) # wait for 1 second before retrying pytest.fail(f"Edge endpoint is not live and ready after polling for {MAX_WAIT_TIME_S} seconds. {final_exception=}") + @pytest.fixture(name="gl") def fixture_gl() -> Groundlight: """Create a Groundlight client object.""" return Groundlight(endpoint=TEST_ENDPOINT) + @pytest.fixture def detector(gl: Groundlight) -> Detector: """Retrieve the detector using the Groundlight client.""" return gl.get_detector(id=DETECTOR_ID) + @pytest.mark.live def test_post_image_query_via_sdk(gl: Groundlight, detector: Detector): """Test that submitting an image query using the edge server proceeds without failure.""" @@ -58,6 +61,7 @@ def test_post_image_query_via_sdk(gl: Groundlight, detector: Detector): iq = gl.submit_image_query(detector=detector.id, image=image_bytes, wait=10.0) assert iq is not None, "ImageQuery should not be None." + @pytest.mark.live def test_post_image_query_via_sdk_want_async(gl: Groundlight, detector: Detector): """Test that submitting an image query with want_async=True forwards directly to the cloud.""" @@ -67,6 +71,7 @@ def test_post_image_query_via_sdk_want_async(gl: Groundlight, detector: Detector assert iq.id.startswith("iq_"), "ImageQuery id should start with 'iq_' because it was created on the cloud." assert iq.result is None, "Result should be None because the query is still being processed." + @pytest.mark.live def test_post_image_query_via_sdk_with_metadata_throws_400(gl: Groundlight, detector: Detector): """Test that submitting an image query with metadata raises a 400 error.""" From 9e4312f86376253bd6c9f5f8a7cd596a9fb84205 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Sat, 23 Nov 2024 00:44:33 +0000 Subject: [PATCH 05/38] update this --- .github/workflows/pipeline.yaml | 2 -- 1 file changed, 2 deletions(-) diff --git a/.github/workflows/pipeline.yaml b/.github/workflows/pipeline.yaml index d164d75d..eb8e7835 100644 --- a/.github/workflows/pipeline.yaml +++ b/.github/workflows/pipeline.yaml @@ -123,8 +123,6 @@ jobs: installer-parallel: true - name: Run tests with k3s - env: - GROUNDLIGHT_API_TOKEN: ${{ secrets.GROUNDLIGHT_API_TOKEN_PROD_BIGGIES }} run: make test-with-k3s From 0fa29487bd364813a2df77d0fe279ad3796a14cb Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Sat, 23 Nov 2024 00:46:33 +0000 Subject: [PATCH 06/38] get rid of this --- .github/workflows/pipeline.yaml | 1 - 1 file changed, 1 deletion(-) diff --git a/.github/workflows/pipeline.yaml b/.github/workflows/pipeline.yaml index eb8e7835..71ceef92 100644 --- a/.github/workflows/pipeline.yaml +++ b/.github/workflows/pipeline.yaml @@ -237,7 +237,6 @@ jobs: deploy-edge-preflight-balena: needs: - test-general-edge-endpoint - - test-in-k3s if: github.event_name == 'push' && github.ref == 'refs/heads/main' uses: ./.github/workflows/deploy-balena.yaml with: From 7f0f8e000be4be6d9626207fd25cee35cf6104a4 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Sat, 23 Nov 2024 00:47:46 +0000 Subject: [PATCH 07/38] some more stuff --- .github/workflows/pipeline.yaml | 18 ++++++++++++------ 1 file changed, 12 insertions(+), 6 deletions(-) diff --git a/.github/workflows/pipeline.yaml b/.github/workflows/pipeline.yaml index 71ceef92..6ff9b890 100644 --- a/.github/workflows/pipeline.yaml +++ b/.github/workflows/pipeline.yaml @@ -100,19 +100,25 @@ jobs: run: docker stop ${{ steps.start_container.outputs.container_id }} test-with-k3s: - runs-on: ubuntu-22.04 + runs-on: ubuntu-22.04 steps: - name: Check out code uses: actions/checkout@v3 - - name: Set up python - uses: actions/setup-python@v4 - with: - python-version: ${{ env.PYTHON_VERSION }} - - name: Install k3s run: | curl -sfL https://get.k3s.io | sh - + sudo chmod 644 /etc/rancher/k3s/k3s.yaml + sudo chown $USER /etc/rancher/k3s/k3s.yaml + # symlink to kubeconfig + mkdir -p ~/.kube + ln -s /etc/rancher/k3s/k3s.yaml ~/.kube/config + - name: Configure AWS credentials + uses: aws-actions/configure-aws-credentials@v4 + with: + aws-access-key-id: ${{ secrets.AWS_GL_PUBLIC_ACCESS_KEY_ID }} + aws-secret-access-key: ${{ secrets.AWS_GL_PUBLIC_SECRET_ACCESS_KEY }} + aws-region: us-west-2 - name: Install poetry uses: snok/install-poetry@v1 From 20d4fda87dbaa0321dfeb95d8a5f0f77ba277dad Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Sat, 23 Nov 2024 00:51:57 +0000 Subject: [PATCH 08/38] fix yaml --- .github/workflows/pipeline.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/.github/workflows/pipeline.yaml b/.github/workflows/pipeline.yaml index 6ff9b890..4c5700ee 100644 --- a/.github/workflows/pipeline.yaml +++ b/.github/workflows/pipeline.yaml @@ -100,7 +100,7 @@ jobs: run: docker stop ${{ steps.start_container.outputs.container_id }} test-with-k3s: - runs-on: ubuntu-22.04 + runs-on: ubuntu-22.04 steps: - name: Check out code uses: actions/checkout@v3 @@ -113,6 +113,7 @@ jobs: # symlink to kubeconfig mkdir -p ~/.kube ln -s /etc/rancher/k3s/k3s.yaml ~/.kube/config + - name: Configure AWS credentials uses: aws-actions/configure-aws-credentials@v4 with: From 9a66be7c2b8ffef4365411820d7ff483a1839a4d Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Sat, 23 Nov 2024 00:54:16 +0000 Subject: [PATCH 09/38] add poetry install --- .github/workflows/pipeline.yaml | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/.github/workflows/pipeline.yaml b/.github/workflows/pipeline.yaml index 4c5700ee..cec93cb5 100644 --- a/.github/workflows/pipeline.yaml +++ b/.github/workflows/pipeline.yaml @@ -128,6 +128,10 @@ jobs: virtualenvs-create: true virtualenvs-in-project: true installer-parallel: true + + - name: Install edge-endpoint's python dependencies + run: | + poetry install --no-interaction --no-root - name: Run tests with k3s run: make test-with-k3s From a7711db1bd5ded704ed91c1b61f55747e270525f Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Sat, 23 Nov 2024 00:58:50 +0000 Subject: [PATCH 10/38] watch for rollout status --- test/setup_k3s_test_environment.sh | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/test/setup_k3s_test_environment.sh b/test/setup_k3s_test_environment.sh index e4e9c94b..5e567803 100755 --- a/test/setup_k3s_test_environment.sh +++ b/test/setup_k3s_test_environment.sh @@ -40,3 +40,7 @@ export INFERENCE_FLAVOR="CPU" ./deploy/bin/setup-ee.sh export LIVE_TEST_ENDPOINT="http://localhost:$EDGE_ENDPOINT_PORT" + +echo "Watching the edge-endpoint deployment rollout in k3s..." +kubectl rollout status deployment/edge-endpoint -n $DEPLOYMENT_NAMESPACE +echo "Rollout complete." From b2e7131a96985947a3cd83683c72d28b4a6483d6 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Sat, 23 Nov 2024 01:02:21 +0000 Subject: [PATCH 11/38] describe pods for debugging --- test/setup_k3s_test_environment.sh | 12 ++++++++++-- 1 file changed, 10 insertions(+), 2 deletions(-) diff --git a/test/setup_k3s_test_environment.sh b/test/setup_k3s_test_environment.sh index 5e567803..a72b37ed 100755 --- a/test/setup_k3s_test_environment.sh +++ b/test/setup_k3s_test_environment.sh @@ -41,6 +41,14 @@ export INFERENCE_FLAVOR="CPU" export LIVE_TEST_ENDPOINT="http://localhost:$EDGE_ENDPOINT_PORT" -echo "Watching the edge-endpoint deployment rollout in k3s..." -kubectl rollout status deployment/edge-endpoint -n $DEPLOYMENT_NAMESPACE +echo "Waiting for 1 minute to ensure all services are up and running..." +sleep 60 + +# Get the edge-endpoint pod name +EDGE_ENDPOINT_POD_NAME=$(kubectl get pods -n $DEPLOYMENT_NAMESPACE -l app=edge-endpoint -o jsonpath="{.items[0].metadata.name}") + +# Describe the edge-endpoint pod +echo "Describing the edge-endpoint pod: $EDGE_ENDPOINT_POD_NAME" +kubectl describe pod $EDGE_ENDPOINT_POD_NAME -n $DEPLOYMENT_NAMESPACE + echo "Rollout complete." From 40b13d661e23ace40532e5ad0714756da2e77b36 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Sat, 23 Nov 2024 01:10:00 +0000 Subject: [PATCH 12/38] try this --- test/setup_k3s_test_environment.sh | 6 +----- 1 file changed, 1 insertion(+), 5 deletions(-) diff --git a/test/setup_k3s_test_environment.sh b/test/setup_k3s_test_environment.sh index a72b37ed..27fddedf 100755 --- a/test/setup_k3s_test_environment.sh +++ b/test/setup_k3s_test_environment.sh @@ -44,11 +44,7 @@ export LIVE_TEST_ENDPOINT="http://localhost:$EDGE_ENDPOINT_PORT" echo "Waiting for 1 minute to ensure all services are up and running..." sleep 60 -# Get the edge-endpoint pod name -EDGE_ENDPOINT_POD_NAME=$(kubectl get pods -n $DEPLOYMENT_NAMESPACE -l app=edge-endpoint -o jsonpath="{.items[0].metadata.name}") # Describe the edge-endpoint pod echo "Describing the edge-endpoint pod: $EDGE_ENDPOINT_POD_NAME" -kubectl describe pod $EDGE_ENDPOINT_POD_NAME -n $DEPLOYMENT_NAMESPACE - -echo "Rollout complete." +kubectl describe pods -n $DEPLOYMENT_NAMESPACE -l app=edge-endpoint \ No newline at end of file From bf624b15b908172a83ec06640a27e7d57c53bb14 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Sat, 23 Nov 2024 01:14:31 +0000 Subject: [PATCH 13/38] try this?? --- test/setup_k3s_test_environment.sh | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/test/setup_k3s_test_environment.sh b/test/setup_k3s_test_environment.sh index 27fddedf..d7a0dc59 100755 --- a/test/setup_k3s_test_environment.sh +++ b/test/setup_k3s_test_environment.sh @@ -45,6 +45,8 @@ echo "Waiting for 1 minute to ensure all services are up and running..." sleep 60 +kubectl get pods -n $DEPLOYMENT_NAMESPACE + # Describe the edge-endpoint pod echo "Describing the edge-endpoint pod: $EDGE_ENDPOINT_POD_NAME" -kubectl describe pods -n $DEPLOYMENT_NAMESPACE -l app=edge-endpoint \ No newline at end of file +kubectl describe pods -n $DEPLOYMENT_NAMESPACE \ No newline at end of file From f3afd07c81c27527d9687b92b669835d47a2b747 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Sat, 23 Nov 2024 01:20:06 +0000 Subject: [PATCH 14/38] try this? --- test/setup_k3s_test_environment.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/setup_k3s_test_environment.sh b/test/setup_k3s_test_environment.sh index d7a0dc59..2c5e26ca 100755 --- a/test/setup_k3s_test_environment.sh +++ b/test/setup_k3s_test_environment.sh @@ -42,7 +42,7 @@ export INFERENCE_FLAVOR="CPU" export LIVE_TEST_ENDPOINT="http://localhost:$EDGE_ENDPOINT_PORT" echo "Waiting for 1 minute to ensure all services are up and running..." -sleep 60 +sleep 120 kubectl get pods -n $DEPLOYMENT_NAMESPACE From 3da9411211bd473055d34017787b376be969b2f2 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Sat, 23 Nov 2024 01:27:55 +0000 Subject: [PATCH 15/38] hm okay try this --- deploy/bin/setup-ee.sh | 1 - deploy/k3s/efs_persistent_volume.yaml | 2 +- deploy/k3s/local_persistent_volume.yaml | 2 +- test/setup_k3s_test_environment.sh | 1 - 4 files changed, 2 insertions(+), 4 deletions(-) diff --git a/deploy/bin/setup-ee.sh b/deploy/bin/setup-ee.sh index 28b9f434..1d02f007 100755 --- a/deploy/bin/setup-ee.sh +++ b/deploy/bin/setup-ee.sh @@ -80,7 +80,6 @@ cd "$(dirname "$0")"/../.. # Most users do not need to think about these. PERSISTENT_VOLUME_NAME=${PERSISTENT_VOLUME_NAME:-"edge-endpoint-pv"} -PERSISTENT_VOLUME_CLAIM_NAME=${PERSISTENT_VOLUME_CLAIM_NAME:-"edge-endpoint-pvc"} EDGE_ENDPOINT_PORT=${EDGE_ENDPOINT_PORT:-30101} # Create Secrets diff --git a/deploy/k3s/efs_persistent_volume.yaml b/deploy/k3s/efs_persistent_volume.yaml index 64e5b9e7..a1643555 100644 --- a/deploy/k3s/efs_persistent_volume.yaml +++ b/deploy/k3s/efs_persistent_volume.yaml @@ -17,7 +17,7 @@ spec: apiVersion: v1 kind: PersistentVolumeClaim metadata: - name: ${PERSISTENT_VOLUME_CLAIM_NAME} + name: edge-endpoint-pvc spec: accessModes: - ReadWriteOnce diff --git a/deploy/k3s/local_persistent_volume.yaml b/deploy/k3s/local_persistent_volume.yaml index e1f7410d..f3db8709 100644 --- a/deploy/k3s/local_persistent_volume.yaml +++ b/deploy/k3s/local_persistent_volume.yaml @@ -15,7 +15,7 @@ spec: apiVersion: v1 kind: PersistentVolumeClaim metadata: - name: ${PERSISTENT_VOLUME_CLAIM_NAME} + name: edge-endpoint-pvc spec: accessModes: - ReadWriteOnce diff --git a/test/setup_k3s_test_environment.sh b/test/setup_k3s_test_environment.sh index 2c5e26ca..7ea1b5c1 100755 --- a/test/setup_k3s_test_environment.sh +++ b/test/setup_k3s_test_environment.sh @@ -16,7 +16,6 @@ then exit 1 fi export PERSISTENT_VOLUME_NAME="test-with-k3s-pv" -export PERSISTENT_VOLUME_CLAIM_NAME="test-with-k3s-pvc" export EDGE_ENDPOINT_PORT="30107" # # now we should delete the persistant volume before, in case it's in a bad state From 9364ee8d6b448a830adfcc0e3088ac1eea39c6a9 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Sat, 23 Nov 2024 01:34:21 +0000 Subject: [PATCH 16/38] add this as well --- deploy/bin/setup-ee.sh | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/deploy/bin/setup-ee.sh b/deploy/bin/setup-ee.sh index 1d02f007..f6ca472a 100755 --- a/deploy/bin/setup-ee.sh +++ b/deploy/bin/setup-ee.sh @@ -153,6 +153,7 @@ if [[ "${DEPLOY_LOCAL_VERSION}" == "1" ]]; then envsubst < deploy/k3s/local_persistent_volume.yaml > deploy/k3s/local_persistentvolume.yaml $K apply -f deploy/k3s/local_persistentvolume.yaml rm deploy/k3s/local_persistentvolume.yaml + else # If environment variable EFS_VOLUME_ID is not set, exit if [[ -z "${EFS_VOLUME_ID}" ]]; then @@ -171,7 +172,7 @@ else fi # Check if the persistent volume claim exists. If not, create it -if ! $K get pvc "$PERSISTENT_VOLUME_CLAIM_NAME"; then +if ! $K get pvc edge-endpoint-pvc; then # If environment variable EFS_VOLUME_ID is not set, exit if [[ -z "${EFS_VOLUME_ID}" ]]; then fail "EFS_VOLUME_ID environment variable not set" From 46a72dc64adaeec0f88ba348fc93262864c2a783 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Sat, 23 Nov 2024 01:43:34 +0000 Subject: [PATCH 17/38] add rollout stuff --- test/setup_k3s_test_environment.sh | 14 ++++++-------- 1 file changed, 6 insertions(+), 8 deletions(-) diff --git a/test/setup_k3s_test_environment.sh b/test/setup_k3s_test_environment.sh index 7ea1b5c1..3e6805ce 100755 --- a/test/setup_k3s_test_environment.sh +++ b/test/setup_k3s_test_environment.sh @@ -39,13 +39,11 @@ export INFERENCE_FLAVOR="CPU" ./deploy/bin/setup-ee.sh export LIVE_TEST_ENDPOINT="http://localhost:$EDGE_ENDPOINT_PORT" +echo "Waiting for edge-endpoint pods to rollout..." -echo "Waiting for 1 minute to ensure all services are up and running..." -sleep 120 - - -kubectl get pods -n $DEPLOYMENT_NAMESPACE +if ! kubectl rollout status deployment/edge-endpoint -n $DEPLOYMENT_NAMESPACE --timeout=5m; then + echo "Error: edge-endpoint pods failed to rollout within the timeout period." + exit 1 +fi -# Describe the edge-endpoint pod -echo "Describing the edge-endpoint pod: $EDGE_ENDPOINT_POD_NAME" -kubectl describe pods -n $DEPLOYMENT_NAMESPACE \ No newline at end of file +echo "Edge-endpoint pods have successfully rolled out." From 35a7e22685e39e259dec679dcf000662b9af0daf Mon Sep 17 00:00:00 2001 From: roxanne-o <137815793+roxanne-o@users.noreply.github.com> Date: Mon, 25 Nov 2024 11:45:43 -0800 Subject: [PATCH 18/38] Update test/setup_k3s_test_environment.sh Co-authored-by: Tom Faulhaber --- test/setup_k3s_test_environment.sh | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/test/setup_k3s_test_environment.sh b/test/setup_k3s_test_environment.sh index 3e6805ce..51ba223e 100755 --- a/test/setup_k3s_test_environment.sh +++ b/test/setup_k3s_test_environment.sh @@ -18,7 +18,7 @@ fi export PERSISTENT_VOLUME_NAME="test-with-k3s-pv" export EDGE_ENDPOINT_PORT="30107" -# # now we should delete the persistant volume before, in case it's in a bad state +# # now we should delete the persistent volume before, in case it's in a bad state # Check if the persistent volume exists if kubectl get pv "$PERSISTENT_VOLUME_NAME" &> /dev/null; then echo "Persistent volume $PERSISTENT_VOLUME_NAME exists. Deleting it..." From c054d040fa064414ef9792ccb3a9951bbea08c64 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Fri, 6 Dec 2024 19:02:46 +0000 Subject: [PATCH 19/38] some stuff --- .github/workflows/pipeline.yaml | 2 +- deploy/bin/setup-ee.sh | 3 +- .../k3s/edge_deployment/edge_deployment.yaml | 2 +- .../edge_deployment/edge_deployment.yaml.tmp | 144 ++++++++++++++++++ test/setup_k3s_test_environment.sh | 9 ++ 5 files changed, 157 insertions(+), 3 deletions(-) create mode 100644 deploy/k3s/edge_deployment/edge_deployment.yaml.tmp diff --git a/.github/workflows/pipeline.yaml b/.github/workflows/pipeline.yaml index 0bf39708..eb5f786b 100644 --- a/.github/workflows/pipeline.yaml +++ b/.github/workflows/pipeline.yaml @@ -104,7 +104,7 @@ jobs: steps: - name: Check out code uses: actions/checkout@v3 - + - name: Install k3s run: | curl -sfL https://get.k3s.io | sh - diff --git a/deploy/bin/setup-ee.sh b/deploy/bin/setup-ee.sh index f6ca472a..f7b7c458 100755 --- a/deploy/bin/setup-ee.sh +++ b/deploy/bin/setup-ee.sh @@ -66,6 +66,7 @@ K=${KUBECTL_CMD:-"kubectl"} INFERENCE_FLAVOR=${INFERENCE_FLAVOR:-"GPU"} DEPLOY_LOCAL_VERSION=${DEPLOY_LOCAL_VERSION:-1} DEPLOYMENT_NAMESPACE=${DEPLOYMENT_NAMESPACE:-$($K config view -o json | jq -r '.contexts[] | select(.name == "'$($K config current-context)'") | .context.namespace // "default"')} +IMAGE_TAG=${IMAGE_TAG:-"latest"} # Update K to include the deployment namespace K="$K -n $DEPLOYMENT_NAMESPACE" @@ -196,6 +197,6 @@ $K apply -f deploy/k3s/inference_deployment/warmup_inference_model.yaml # Substitutes the EDGE_ENDPOINT_PORT envsubst < deploy/k3s/edge_deployment/edge_deployment.yaml > deploy/k3s/edge_deployment/edge_deployment.yaml.tmp $K apply -f deploy/k3s/edge_deployment/edge_deployment.yaml.tmp -rm deploy/k3s/edge_deployment/edge_deployment.yaml.tmp +# rm deploy/k3s/edge_deployment/edge_deployment.yaml.tmp $K describe deployment edge-endpoint \ No newline at end of file diff --git a/deploy/k3s/edge_deployment/edge_deployment.yaml b/deploy/k3s/edge_deployment/edge_deployment.yaml index 661fcfcf..cb62a53d 100644 --- a/deploy/k3s/edge_deployment/edge_deployment.yaml +++ b/deploy/k3s/edge_deployment/edge_deployment.yaml @@ -40,7 +40,7 @@ spec: serviceAccountName: edge-endpoint-service-account initContainers: - name: database-prep - image: &edgeEndpointImage 767397850842.dkr.ecr.us-west-2.amazonaws.com/edge-endpoint:latest + image: &edgeEndpointImage 767397850842.dkr.ecr.us-west-2.amazonaws.com/edge-endpoint:${IMAGE_TAG} imagePullPolicy: Always volumeMounts: - name: edge-endpoint-persistent-volume diff --git a/deploy/k3s/edge_deployment/edge_deployment.yaml.tmp b/deploy/k3s/edge_deployment/edge_deployment.yaml.tmp new file mode 100644 index 00000000..6c376cbc --- /dev/null +++ b/deploy/k3s/edge_deployment/edge_deployment.yaml.tmp @@ -0,0 +1,144 @@ +# Required runtime class for GPU use in k3s +apiVersion: node.k8s.io/v1 +kind: RuntimeClass +metadata: + name: nvidia +handler: nvidia +--- +apiVersion: v1 +kind: Service +metadata: + name: edge-endpoint-service +spec: + selector: + app: edge-logic-server + ports: + - protocol: TCP + # Service port for NGINX + port: 30101 + nodePort: 30107 + type: NodePort +--- +apiVersion: apps/v1 +kind: Deployment +metadata: + name: edge-endpoint + labels: + app: edge-endpoint +spec: + replicas: 1 + selector: + matchLabels: + app: edge-logic-server + template: + metadata: + labels: + app: edge-logic-server + spec: + # This service account is used by the edge logic to access the Kubernetes API + # from within the pod. See deploy/k3s/service_account.yaml for more details + serviceAccountName: edge-endpoint-service-account + initContainers: + - name: database-prep + image: &edgeEndpointImage 767397850842.dkr.ecr.us-west-2.amazonaws.com/edge-endpoint:latest + imagePullPolicy: Always + volumeMounts: + - name: edge-endpoint-persistent-volume + mountPath: /opt/groundlight/edge/sqlite + - name: sqlite-db-setup-script-volume + mountPath: /scripts + command: ["/bin/bash", "/scripts/setup_db.sh"] + + containers: + - name: edge-endpoint + image: *edgeEndpointImage + imagePullPolicy: Always + ports: + - containerPort: 30101 + env: + - name: LOG_LEVEL + value: "INFO" + # We need this feature flag since we run the edge logic server in two separate environments: + # 1. In docker (on the GitHub Actions runner) for testing + # 2. In kubernetes (currently a dedicated EC2 instance) + # This feature flag is basically good for knowing when to use the python kubernetes API + # (i.e., creating deployments, etc.). We don't want to use the python kubernetes API + # if we are only running the edge logic server in docker. + # TODO: Once we have kubernetes-based tests, we can remove this feature flag. + - name: DEPLOY_DETECTOR_LEVEL_INFERENCE + value: "1" + volumeMounts: + - name: edge-config-volume + mountPath: /etc/groundlight/edge-config + - name: edge-endpoint-persistent-volume + mountPath: /opt/groundlight/edge/sqlite + startupProbe: + httpGet: + path: /health/live # Checks if the server is up + port: 30101 + initialDelaySeconds: 10 + periodSeconds: 10 + failureThreshold: 6 # Wait for up to 1 min + readinessProbe: + httpGet: + path: /health/ready # Checks if the server is ready to serve requests + port: 30101 + initialDelaySeconds: 10 + periodSeconds: 10 + failureThreshold: 6 # Wait for up to 1 min + + - name: inference-model-updater + image: *edgeEndpointImage + imagePullPolicy: Always + command: ["/bin/bash", "-c"] + args: ["poetry run python -m app.model_updater.update_models"] + env: + - name: LOG_LEVEL + value: "INFO" + - name: DEPLOY_DETECTOR_LEVEL_INFERENCE + value: "1" + - name: GROUNDLIGHT_API_TOKEN + valueFrom: + secretKeyRef: + name: groundlight-api-token + key: GROUNDLIGHT_API_TOKEN + optional: true + volumeMounts: + - name: edge-config-volume + mountPath: /etc/groundlight/edge-config + + - name: kubernetes-namespace + mountPath: /etc/groundlight/kubernetes-namespace + + - name: inference-deployment-template-volume + mountPath: /etc/groundlight/inference-deployment + + # In this setup the edge-endpoint-persistent-volume is mounted to + # two different paths in the inference-model-updater container. + # This allows the container to access both the sqlite database and + # the path to the model repository without needing to create an extra PV and PVC. + - name: edge-endpoint-persistent-volume + mountPath: /opt/groundlight/edge/sqlite + + - name: edge-endpoint-persistent-volume + mountPath: /opt/groundlight/edge/serving/model-repo + + imagePullSecrets: + - name: registry-credentials + + volumes: + - name: edge-config-volume + configMap: + name: edge-config + - name: kubernetes-namespace + configMap: + name: kubernetes-namespace + - name: inference-deployment-template-volume + configMap: + name: inference-deployment-template + - name: sqlite-db-setup-script-volume + configMap: + name: setup-db + - name: edge-endpoint-persistent-volume + persistentVolumeClaim: + claimName: edge-endpoint-pvc \ No newline at end of file diff --git a/test/setup_k3s_test_environment.sh b/test/setup_k3s_test_environment.sh index 51ba223e..ca27db3e 100755 --- a/test/setup_k3s_test_environment.sh +++ b/test/setup_k3s_test_environment.sh @@ -4,6 +4,7 @@ # live tests, which will hit the API service that got setup # Altogether, you can run everything with: # > make test-with-k3s +cd "$(dirname "$0")" if [ -z "$GROUNDLIGHT_API_TOKEN" ]; then echo "Error: GROUNDLIGHT_API_TOKEN environment variable is not set." @@ -34,6 +35,14 @@ if ! kubectl get namespace $DEPLOYMENT_NAMESPACE &> /dev/null; then kubectl create namespace $DEPLOYMENT_NAMESPACE fi +# Build the Docker image and import it into k3s +echo "Building the Docker image..." +cd .. +ls +../deploy/bin/build-push-edge-endpoint-image.sh dev +export IMAGE_TAG=$(../deploy/bin/git-tag-name.sh) +echo sfnfsjkdfnsjdf +echo $IMAGE_TAG export INFERENCE_FLAVOR="CPU" ./deploy/bin/setup-ee.sh From 7f73916c381c894045076f53f5b995b7a6fea032 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Fri, 6 Dec 2024 22:31:20 +0000 Subject: [PATCH 20/38] fix --- Makefile | 2 +- deploy/bin/git-tag-name.sh | 2 + deploy/bin/setup-ee.sh | 2 +- .../edge_deployment/edge_deployment.yaml.tmp | 144 ------------------ test/setup_k3s_test_environment.sh | 5 +- 5 files changed, 5 insertions(+), 150 deletions(-) delete mode 100644 deploy/k3s/edge_deployment/edge_deployment.yaml.tmp diff --git a/Makefile b/Makefile index 191e6681..33a5c983 100644 --- a/Makefile +++ b/Makefile @@ -21,7 +21,7 @@ test-all: test test-with-docker ## Run all tests in one make command @echo "All tests completed." test-with-k3s: - . test/setup_k3s_test_environment.sh && poetry run pytest -m live + cd test && ./setup_k3s_test_environment.sh && poetry run pytest -m live # Adjust which paths we lint LINT_PATHS="app test" diff --git a/deploy/bin/git-tag-name.sh b/deploy/bin/git-tag-name.sh index 13d3a284..1a2006db 100755 --- a/deploy/bin/git-tag-name.sh +++ b/deploy/bin/git-tag-name.sh @@ -5,6 +5,8 @@ # including the branch name, and a consistent hash of the uncommitted changes set -e +cd "$(dirname "$0")" + fail() { echo $1 diff --git a/deploy/bin/setup-ee.sh b/deploy/bin/setup-ee.sh index f7b7c458..79058b64 100755 --- a/deploy/bin/setup-ee.sh +++ b/deploy/bin/setup-ee.sh @@ -197,6 +197,6 @@ $K apply -f deploy/k3s/inference_deployment/warmup_inference_model.yaml # Substitutes the EDGE_ENDPOINT_PORT envsubst < deploy/k3s/edge_deployment/edge_deployment.yaml > deploy/k3s/edge_deployment/edge_deployment.yaml.tmp $K apply -f deploy/k3s/edge_deployment/edge_deployment.yaml.tmp -# rm deploy/k3s/edge_deployment/edge_deployment.yaml.tmp +rm deploy/k3s/edge_deployment/edge_deployment.yaml.tmp $K describe deployment edge-endpoint \ No newline at end of file diff --git a/deploy/k3s/edge_deployment/edge_deployment.yaml.tmp b/deploy/k3s/edge_deployment/edge_deployment.yaml.tmp deleted file mode 100644 index 6c376cbc..00000000 --- a/deploy/k3s/edge_deployment/edge_deployment.yaml.tmp +++ /dev/null @@ -1,144 +0,0 @@ -# Required runtime class for GPU use in k3s -apiVersion: node.k8s.io/v1 -kind: RuntimeClass -metadata: - name: nvidia -handler: nvidia ---- -apiVersion: v1 -kind: Service -metadata: - name: edge-endpoint-service -spec: - selector: - app: edge-logic-server - ports: - - protocol: TCP - # Service port for NGINX - port: 30101 - nodePort: 30107 - type: NodePort ---- -apiVersion: apps/v1 -kind: Deployment -metadata: - name: edge-endpoint - labels: - app: edge-endpoint -spec: - replicas: 1 - selector: - matchLabels: - app: edge-logic-server - template: - metadata: - labels: - app: edge-logic-server - spec: - # This service account is used by the edge logic to access the Kubernetes API - # from within the pod. See deploy/k3s/service_account.yaml for more details - serviceAccountName: edge-endpoint-service-account - initContainers: - - name: database-prep - image: &edgeEndpointImage 767397850842.dkr.ecr.us-west-2.amazonaws.com/edge-endpoint:latest - imagePullPolicy: Always - volumeMounts: - - name: edge-endpoint-persistent-volume - mountPath: /opt/groundlight/edge/sqlite - - name: sqlite-db-setup-script-volume - mountPath: /scripts - command: ["/bin/bash", "/scripts/setup_db.sh"] - - containers: - - name: edge-endpoint - image: *edgeEndpointImage - imagePullPolicy: Always - ports: - - containerPort: 30101 - env: - - name: LOG_LEVEL - value: "INFO" - # We need this feature flag since we run the edge logic server in two separate environments: - # 1. In docker (on the GitHub Actions runner) for testing - # 2. In kubernetes (currently a dedicated EC2 instance) - # This feature flag is basically good for knowing when to use the python kubernetes API - # (i.e., creating deployments, etc.). We don't want to use the python kubernetes API - # if we are only running the edge logic server in docker. - # TODO: Once we have kubernetes-based tests, we can remove this feature flag. - - name: DEPLOY_DETECTOR_LEVEL_INFERENCE - value: "1" - volumeMounts: - - name: edge-config-volume - mountPath: /etc/groundlight/edge-config - - name: edge-endpoint-persistent-volume - mountPath: /opt/groundlight/edge/sqlite - startupProbe: - httpGet: - path: /health/live # Checks if the server is up - port: 30101 - initialDelaySeconds: 10 - periodSeconds: 10 - failureThreshold: 6 # Wait for up to 1 min - readinessProbe: - httpGet: - path: /health/ready # Checks if the server is ready to serve requests - port: 30101 - initialDelaySeconds: 10 - periodSeconds: 10 - failureThreshold: 6 # Wait for up to 1 min - - - name: inference-model-updater - image: *edgeEndpointImage - imagePullPolicy: Always - command: ["/bin/bash", "-c"] - args: ["poetry run python -m app.model_updater.update_models"] - env: - - name: LOG_LEVEL - value: "INFO" - - name: DEPLOY_DETECTOR_LEVEL_INFERENCE - value: "1" - - name: GROUNDLIGHT_API_TOKEN - valueFrom: - secretKeyRef: - name: groundlight-api-token - key: GROUNDLIGHT_API_TOKEN - optional: true - volumeMounts: - - name: edge-config-volume - mountPath: /etc/groundlight/edge-config - - - name: kubernetes-namespace - mountPath: /etc/groundlight/kubernetes-namespace - - - name: inference-deployment-template-volume - mountPath: /etc/groundlight/inference-deployment - - # In this setup the edge-endpoint-persistent-volume is mounted to - # two different paths in the inference-model-updater container. - # This allows the container to access both the sqlite database and - # the path to the model repository without needing to create an extra PV and PVC. - - name: edge-endpoint-persistent-volume - mountPath: /opt/groundlight/edge/sqlite - - - name: edge-endpoint-persistent-volume - mountPath: /opt/groundlight/edge/serving/model-repo - - imagePullSecrets: - - name: registry-credentials - - volumes: - - name: edge-config-volume - configMap: - name: edge-config - - name: kubernetes-namespace - configMap: - name: kubernetes-namespace - - name: inference-deployment-template-volume - configMap: - name: inference-deployment-template - - name: sqlite-db-setup-script-volume - configMap: - name: setup-db - - name: edge-endpoint-persistent-volume - persistentVolumeClaim: - claimName: edge-endpoint-pvc \ No newline at end of file diff --git a/test/setup_k3s_test_environment.sh b/test/setup_k3s_test_environment.sh index ca27db3e..fd342e36 100755 --- a/test/setup_k3s_test_environment.sh +++ b/test/setup_k3s_test_environment.sh @@ -37,15 +37,12 @@ fi # Build the Docker image and import it into k3s echo "Building the Docker image..." -cd .. ls ../deploy/bin/build-push-edge-endpoint-image.sh dev export IMAGE_TAG=$(../deploy/bin/git-tag-name.sh) -echo sfnfsjkdfnsjdf -echo $IMAGE_TAG export INFERENCE_FLAVOR="CPU" -./deploy/bin/setup-ee.sh +../deploy/bin/setup-ee.sh export LIVE_TEST_ENDPOINT="http://localhost:$EDGE_ENDPOINT_PORT" echo "Waiting for edge-endpoint pods to rollout..." From e51557b3cc6a1ba34198173f1171ed2c635fa944 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Fri, 6 Dec 2024 23:33:29 +0000 Subject: [PATCH 21/38] stuff passes now --- Makefile | 3 +-- test/setup_k3s_test_environment.sh | 2 +- 2 files changed, 2 insertions(+), 3 deletions(-) diff --git a/Makefile b/Makefile index 33a5c983..9ff1b8ab 100644 --- a/Makefile +++ b/Makefile @@ -1,5 +1,4 @@ .PHONY: install install-lint install-pre-commit test test-with-docker test-all lint format - SHELL := /bin/bash install: @@ -21,7 +20,7 @@ test-all: test test-with-docker ## Run all tests in one make command @echo "All tests completed." test-with-k3s: - cd test && ./setup_k3s_test_environment.sh && poetry run pytest -m live + . test/setup_k3s_test_environment.sh && poetry run pytest -m live # Adjust which paths we lint LINT_PATHS="app test" diff --git a/test/setup_k3s_test_environment.sh b/test/setup_k3s_test_environment.sh index fd342e36..7d1c168a 100755 --- a/test/setup_k3s_test_environment.sh +++ b/test/setup_k3s_test_environment.sh @@ -4,7 +4,6 @@ # live tests, which will hit the API service that got setup # Altogether, you can run everything with: # > make test-with-k3s -cd "$(dirname "$0")" if [ -z "$GROUNDLIGHT_API_TOKEN" ]; then echo "Error: GROUNDLIGHT_API_TOKEN environment variable is not set." @@ -53,3 +52,4 @@ if ! kubectl rollout status deployment/edge-endpoint -n $DEPLOYMENT_NAMESPACE -- fi echo "Edge-endpoint pods have successfully rolled out." + From 183ecd8e8c17c4cde540565625fa17b33b206a61 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Fri, 6 Dec 2024 23:36:39 +0000 Subject: [PATCH 22/38] update pipeline --- .github/workflows/pipeline.yaml | 51 ++++----------------------------- 1 file changed, 6 insertions(+), 45 deletions(-) diff --git a/.github/workflows/pipeline.yaml b/.github/workflows/pipeline.yaml index d4fb789f..ec265f4a 100644 --- a/.github/workflows/pipeline.yaml +++ b/.github/workflows/pipeline.yaml @@ -99,7 +99,12 @@ jobs: if: always() run: docker stop ${{ steps.start_container.outputs.container_id }} + test-with-k3s: + if: (github.ref == 'refs/heads/main' || github.event_name == 'workflow_dispatch') + # We only run this action if all the prior test actions succeed + needs: + - test-general-edge-endpoint runs-on: ubuntu-22.04 steps: - name: Check out code @@ -136,7 +141,6 @@ jobs: - name: Run tests with k3s run: make test-with-k3s - # Run Groundlight SDK tests against the edge proxy endpoint test-sdk: runs-on: ubuntu-22.04 @@ -218,13 +222,13 @@ jobs: if: always() run: docker stop ${{ steps.start_container.outputs.container_id }} - build-push-edge-endpoint-multiplatform: if: (github.ref == 'refs/heads/main' || github.event_name == 'workflow_dispatch') # We only run this action if all the prior test actions succeed needs: - test-general-edge-endpoint - test-sdk + - test-with-k3s runs-on: ubuntu-22.04 steps: - name: Configure AWS credentials @@ -245,49 +249,6 @@ jobs: run: ./deploy/bin/build-push-edge-endpoint-image.sh - test-in-k3s: - needs: - # In order to test in k3s, we pull the latest edge-endpoint image from ECR. Which means that - # we need to build and push the image first or, we're just testing against a stale image. - - build-push-edge-endpoint-multiplatform - runs-on: ubuntu-22.04 - steps: - - name: Check out code - uses: actions/checkout@v3 - - - name: Install k3s - run: | - curl -sfL https://get.k3s.io | sh - - sudo chmod 644 /etc/rancher/k3s/k3s.yaml - sudo chown $USER /etc/rancher/k3s/k3s.yaml - # symlink to kubeconfig - mkdir -p ~/.kube - ln -s /etc/rancher/k3s/k3s.yaml ~/.kube/config - - - name: Configure AWS credentials - uses: aws-actions/configure-aws-credentials@v4 - with: - aws-access-key-id: ${{ secrets.AWS_GL_PUBLIC_ACCESS_KEY_ID }} - aws-secret-access-key: ${{ secrets.AWS_GL_PUBLIC_SECRET_ACCESS_KEY }} - aws-region: us-west-2 - - - name: Deploy the edge-endpoint yaml - run: | - set -ex - # Once there's a fix for disk-pressure issues on GHA's runner, we can uncomment the - # following command in order to set up the environment to test out edge inference - # source test/setup_inference_test_env.sh - export INFERENCE_FLAVOR="CPU" - export DEPLOYMENT_NAMESPACE="default" - bash deploy/bin/setup-ee.sh - kubectl describe deployment - - - name: Wait for edge-endpoint pod to be ready - run: | - set -ex - kubectl rollout status deployment edge-endpoint --timeout=5m - kubectl describe pod edge-endpoint - update-glhub: needs: test-in-k3s runs-on: ubuntu-latest From 767d88ff270aa039c65e75903417967d6fdc885e Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Fri, 6 Dec 2024 23:44:11 +0000 Subject: [PATCH 23/38] fix pipeline --- .github/workflows/pipeline.yaml | 13 ++++++------- 1 file changed, 6 insertions(+), 7 deletions(-) diff --git a/.github/workflows/pipeline.yaml b/.github/workflows/pipeline.yaml index ec265f4a..cf0250b6 100644 --- a/.github/workflows/pipeline.yaml +++ b/.github/workflows/pipeline.yaml @@ -101,10 +101,10 @@ jobs: test-with-k3s: - if: (github.ref == 'refs/heads/main' || github.event_name == 'workflow_dispatch') + if: ${{ github.ref == 'refs/heads/main' || github.event_name == 'workflow_dispatch' }} # We only run this action if all the prior test actions succeed - needs: - - test-general-edge-endpoint + needs: + - test-general-edge-endpoint runs-on: ubuntu-22.04 steps: - name: Check out code @@ -223,7 +223,7 @@ jobs: run: docker stop ${{ steps.start_container.outputs.container_id }} build-push-edge-endpoint-multiplatform: - if: (github.ref == 'refs/heads/main' || github.event_name == 'workflow_dispatch') + if: ${{ github.ref == 'refs/heads/main' || github.event_name == 'workflow_dispatch' }} # We only run this action if all the prior test actions succeed needs: - test-general-edge-endpoint @@ -246,11 +246,10 @@ jobs: uses: actions/checkout@v4 - name: Build and Push Multiplatform edge-endpoint Image to ECR timeout-minutes: 45 - run: - ./deploy/bin/build-push-edge-endpoint-image.sh + run: ./deploy/bin/build-push-edge-endpoint-image.sh update-glhub: - needs: test-in-k3s + needs: test-with-k3s runs-on: ubuntu-latest environment: live From ee07cca4cf3d4d54e0103523d38b48d7ff16db01 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Fri, 6 Dec 2024 23:48:46 +0000 Subject: [PATCH 24/38] fix sequencing --- .github/workflows/pipeline.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/pipeline.yaml b/.github/workflows/pipeline.yaml index cf0250b6..5c0b73ee 100644 --- a/.github/workflows/pipeline.yaml +++ b/.github/workflows/pipeline.yaml @@ -104,7 +104,7 @@ jobs: if: ${{ github.ref == 'refs/heads/main' || github.event_name == 'workflow_dispatch' }} # We only run this action if all the prior test actions succeed needs: - - test-general-edge-endpoint + - test-sdk runs-on: ubuntu-22.04 steps: - name: Check out code From 21d66f380b1e35c98d5dac06ab6593d0c6b834cb Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Fri, 6 Dec 2024 23:50:27 +0000 Subject: [PATCH 25/38] nevermind --- .github/workflows/pipeline.yaml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/pipeline.yaml b/.github/workflows/pipeline.yaml index 5c0b73ee..cf0250b6 100644 --- a/.github/workflows/pipeline.yaml +++ b/.github/workflows/pipeline.yaml @@ -104,7 +104,7 @@ jobs: if: ${{ github.ref == 'refs/heads/main' || github.event_name == 'workflow_dispatch' }} # We only run this action if all the prior test actions succeed needs: - - test-sdk + - test-general-edge-endpoint runs-on: ubuntu-22.04 steps: - name: Check out code From 535fab11cb7ae39515f1817c56f2614de5c43613 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Sun, 8 Dec 2024 18:42:14 +0000 Subject: [PATCH 26/38] setup basic --- Makefile | 2 +- test/fire_extinguisher_real.png | Bin 0 -> 1741376 bytes test/integration/cat.jpg | Bin 0 -> 1615070 bytes test/integration/dog.jpg | Bin 0 -> 34976 bytes test/integration/k3s_integration_test.sh | 4 ++ test/integration/submit_many_image_queries.py | 46 ++++++++++++++++++ test/setup_k3s_test_environment.sh | 6 +-- 7 files changed, 54 insertions(+), 4 deletions(-) create mode 100644 test/fire_extinguisher_real.png create mode 100644 test/integration/cat.jpg create mode 100644 test/integration/dog.jpg create mode 100755 test/integration/k3s_integration_test.sh create mode 100644 test/integration/submit_many_image_queries.py diff --git a/Makefile b/Makefile index 9ff1b8ab..9b43e8df 100644 --- a/Makefile +++ b/Makefile @@ -20,7 +20,7 @@ test-all: test test-with-docker ## Run all tests in one make command @echo "All tests completed." test-with-k3s: - . test/setup_k3s_test_environment.sh && poetry run pytest -m live + . test/setup_k3s_test_environment.sh && test/integration/k3s_integration_test.sh # Adjust which paths we lint LINT_PATHS="app test" diff --git a/test/fire_extinguisher_real.png b/test/fire_extinguisher_real.png new file mode 100644 index 0000000000000000000000000000000000000000..7c55d13334ec26f7aabae9c12b91250cd9996088 GIT binary patch literal 1741376 zcmV(?K-a&CP)4Tx04R}lkUvYqU=YTiXtg3m9jqugWDut+rFL*_D^#IFtcriOG_9%HrY}iE 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    `&uHt;OG0TQKwN|WS~FtP+1WQg1(T7O|_ z`vF=okoq4vEI5s%3hphiXHB)iXGpYxO+n+0#*`$>eqQ?w;J~Qq%L{OPxqFvfHU~fy z-8p-VqdxL2xC5gAS8;zlqgfm}4R|fV%Q1=2P zr7pm|S!trwVvx=#6}W^U0Qq9bgaaqISrC9tjv)ZDK6Vg-PMDhzfLRtqAcLkSfd~e8 z7(xjky9huq;t)X$+Yo?4$bBZ52FS7@ z0J1ir2nNe(1Ze9 ygM=XfhY)~6F$e}3;6ed}gdiE9TtpxN#1{r30JJf&jf5Z{jyV`Y0W=7N2mjdx-8>us literal 0 HcmV?d00001 diff --git a/test/integration/k3s_integration_test.sh b/test/integration/k3s_integration_test.sh new file mode 100755 index 00000000..89dacc5f --- /dev/null +++ b/test/integration/k3s_integration_test.sh @@ -0,0 +1,4 @@ +# first do basic pytest integration style tests +poetry run pytest -m live + +poetry run python test/integration/submit_many_image_queries.py -n 1 \ No newline at end of file diff --git a/test/integration/submit_many_image_queries.py b/test/integration/submit_many_image_queries.py new file mode 100644 index 00000000..1ef646d7 --- /dev/null +++ b/test/integration/submit_many_image_queries.py @@ -0,0 +1,46 @@ +import argparse + +from groundlight import Groundlight +from model import Detector + +# TODO: read port from environment variable +gl = Groundlight(endpoint="http://localhost:30107") + + +def main(): + parser = argparse.ArgumentParser(description="Submit a dog and cat image to k3s Groundlight edge-endpoint for integration tests") + parser.add_argument("-n", "--num_images", type=int, help="Number of images to submit of each", required=True) + parser.add_argument("-d", "--detector_id", type=str, help="Id of detector to use. If not provided, we will create a new one", required=False) + args = parser.parse_args() + + num_images = args.num_images + detector_id = args.detector_id + + if not detector_id: + detector = gl.get_or_create_detector(name="cat", query="Is this a cat?") + else: + detector = gl.get_detector(detector_id) + + for _ in range(num_images): + submit_cat(detector) + submit_dog(detector) + + +def submit_cat(detector: Detector): + submit_dog_or_cat(detector, "./test/integration/cat.jpg") + +def submit_dog(detector: Detector): + submit_dog_or_cat(detector, "./test/integration/dog.jpg") + +def read_image(img_file): + with open(img_file, "rb") as img_file: + byte_stream = img_file.read() + return byte_stream + +def submit_dog_or_cat(detector: Detector, img_file: str): + image = read_image(img_file) + gl.submit_image_query(detector=detector, image=image) + + +if __name__ == "__main__": + main() diff --git a/test/setup_k3s_test_environment.sh b/test/setup_k3s_test_environment.sh index 7d1c168a..06d9c435 100755 --- a/test/setup_k3s_test_environment.sh +++ b/test/setup_k3s_test_environment.sh @@ -37,11 +37,11 @@ fi # Build the Docker image and import it into k3s echo "Building the Docker image..." ls -../deploy/bin/build-push-edge-endpoint-image.sh dev -export IMAGE_TAG=$(../deploy/bin/git-tag-name.sh) +./deploy/bin/build-push-edge-endpoint-image.sh dev +export IMAGE_TAG=$(./deploy/bin/git-tag-name.sh) export INFERENCE_FLAVOR="CPU" -../deploy/bin/setup-ee.sh +./deploy/bin/setup-ee.sh export LIVE_TEST_ENDPOINT="http://localhost:$EDGE_ENDPOINT_PORT" echo "Waiting for edge-endpoint pods to rollout..." From b3958aa5958901c11f0332944dda5d15e48d7361 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Mon, 9 Dec 2024 17:18:58 +0000 Subject: [PATCH 27/38] more stuff --- Makefile | 4 +- test/api/test_image_queries_live.py | 4 +- test/integration/integration_test.py | 75 +++++++++++++++++++ test/integration/k3s_integration_test.sh | 4 - test/integration/run_tests.sh | 21 ++++++ .../setup_and_run_tests.sh} | 38 ++++++++-- test/integration/submit_many_image_queries.py | 46 ------------ 7 files changed, 132 insertions(+), 60 deletions(-) create mode 100644 test/integration/integration_test.py delete mode 100755 test/integration/k3s_integration_test.sh create mode 100755 test/integration/run_tests.sh rename test/{setup_k3s_test_environment.sh => integration/setup_and_run_tests.sh} (58%) delete mode 100644 test/integration/submit_many_image_queries.py diff --git a/Makefile b/Makefile index 9b43e8df..609cc8c2 100644 --- a/Makefile +++ b/Makefile @@ -20,8 +20,8 @@ test-all: test test-with-docker ## Run all tests in one make command @echo "All tests completed." test-with-k3s: - . test/setup_k3s_test_environment.sh && test/integration/k3s_integration_test.sh - + . test/integration/setup_and_run_tests.sh + # Adjust which paths we lint LINT_PATHS="app test" diff --git a/test/api/test_image_queries_live.py b/test/api/test_image_queries_live.py index 8dc9fe13..110c85ce 100644 --- a/test/api/test_image_queries_live.py +++ b/test/api/test_image_queries_live.py @@ -9,7 +9,7 @@ from PIL import Image from app.core.utils import pil_image_to_bytes - +import pdb # Tests in this file require a live edge-endpoint server and GL Api token in order to run. # Not ideal for unit-testing. TEST_ENDPOINT = os.getenv("LIVE_TEST_ENDPOINT", "http://localhost:30101") @@ -19,7 +19,7 @@ # - name="edge_testing_det", # - query="Is there a dog in the image?", # - confidence_threshold=0.9 -DETECTOR_ID = "det_2SagpFUrs83cbMZsap5hZzRjZw4" +DETECTOR_ID = os.getenv("DETECTOR_ID", "det_2SagpFUrs83cbMZsap5hZzRjZw4") @pytest.mark.live diff --git a/test/integration/integration_test.py b/test/integration/integration_test.py new file mode 100644 index 00000000..7d6e52be --- /dev/null +++ b/test/integration/integration_test.py @@ -0,0 +1,75 @@ +import argparse + +from groundlight import Groundlight +from model import Detector +import random +import pdb +# TODO: read port from environment variable +gl = Groundlight(endpoint="http://localhost:30107") + + +def main(): + parser = argparse.ArgumentParser(description="Submit a dog and cat image to k3s Groundlight edge-endpoint for integration tests") + parser.add_argument("-m", "--mode", type=str, choices=['create_detector', 'initial', 'many', 'final'], help="Mode of operation: 'initial', 'many', or 'final'", required=True) + parser.add_argument("-d", "--detector_id", type=str, help="id of detector to use", required=False) + args = parser.parse_args() + + detector = None + if args.detector_id: + detector = gl.get_detector(args.detector_id) + + if detector is None and args.mode != 'create_detector': + raise ValueError("You must provide detector id unless mode is create detector") + + if args.mode == 'create_detector': + detector_id = create_cat_detector() + print(detector_id) # print so that the shell script can save the value + elif args.mode == 'initial': + submit_initial(detector) + elif args.mode == 'many': + submit_many(detector) + elif args.mode == 'final': + submit_final(detector) + + +def create_cat_detector() -> str: + random_number = random.randint(0, 9999) + detector = gl.create_detector(name=f"cat_{random_number}", query="Is this a cat?") + detector_id = detector.id + return detector_id + +def submit_initial(detector) -> str: + result_yes = submit_cat(detector) + result_no = submit_dog(detector) + + # low confidence before escalating to cloud and pulling new model + assert result_yes.confidence < 0.6 + assert result_no.confidence < 0.6 + +def submit_many(detector_id: str): + detector = gl.get_detector(detector_id) + pass + +def submit_final(detector_id: str): + pass + + +def submit_cat(detector: Detector): + return submit_dog_or_cat(detector, "./test/integration/cat.jpg") + +def submit_dog(detector: Detector): + return submit_dog_or_cat(detector, "./test/integration/dog.jpg") + +def read_image(img_file): + with open(img_file, "rb") as img_file: + byte_stream = img_file.read() + return byte_stream + +def submit_dog_or_cat(detector: Detector, img_file: str): + image = read_image(img_file) + result = gl.submit_image_query(detector=detector, image=image) + return result + + +if __name__ == "__main__": + main() diff --git a/test/integration/k3s_integration_test.sh b/test/integration/k3s_integration_test.sh deleted file mode 100755 index 89dacc5f..00000000 --- a/test/integration/k3s_integration_test.sh +++ /dev/null @@ -1,4 +0,0 @@ -# first do basic pytest integration style tests -poetry run pytest -m live - -poetry run python test/integration/submit_many_image_queries.py -n 1 \ No newline at end of file diff --git a/test/integration/run_tests.sh b/test/integration/run_tests.sh new file mode 100755 index 00000000..1122eb1e --- /dev/null +++ b/test/integration/run_tests.sh @@ -0,0 +1,21 @@ +# first do basic pytest integration style tests +# we skip the async test because we're setup for edge answers +if ! poetry run pytest -m live -k "not test_post_image_query_via_sdk_want_async"; then + echo "Error: pytest integration tests failed." + exit 1 +fi + +echo "Submitting image queries from the edge" + +poetry run python test/integration/integration_test.py -m initial -d $DETECTOR_ID + +# echo "Sleeping for 1 minute to allow deployment to get created..." +# sleep 60 +# echo "Waiting for the deployment to rollout (inferencemodel-$detector_id)" + +# if ! kubectl wait --for=condition=ready pod -l app=inferencemodel-$detector_id -n $DEPLOYMENT_NAMESPACE --timeout=2m; then +# echo "Error: inference model for detector $detector_id pods failed to become ready within the timeout period." +# exit 1 +# fi + +# echo "Inference model for detector $detector_id has successfully rolled out" \ No newline at end of file diff --git a/test/setup_k3s_test_environment.sh b/test/integration/setup_and_run_tests.sh similarity index 58% rename from test/setup_k3s_test_environment.sh rename to test/integration/setup_and_run_tests.sh index 06d9c435..d99795d4 100755 --- a/test/setup_k3s_test_environment.sh +++ b/test/integration/setup_and_run_tests.sh @@ -14,12 +14,27 @@ if ! command -v k3s &> /dev/null then echo "Error: you must have k3s setup" exit 1 + fi + +# First create a detector to use for testing: +export DETECTOR_ID=$(poetry run python test/integration/integration_test.py --mode create_detector) +echo 'created detector with id:' +echo $DETECTOR_ID +# set some other environment variables export PERSISTENT_VOLUME_NAME="test-with-k3s-pv" export EDGE_ENDPOINT_PORT="30107" +export INFERENCE_FLAVOR="CPU" +export LIVE_TEST_ENDPOINT="http://localhost:$EDGE_ENDPOINT_PORT" + +# update the config for this detector, such that we always take edge answers +# but first, save the template to a temporary file +cp configs/edge-config.yaml configs/edge-config.yaml.tmp +sed -i "s/detector_id: \"\"/detector_id: \"$DETECTOR_ID\"/" configs/edge-config.yaml +sed -i 's/edge_inference_config: "default"/edge_inference_config: "edge_answers_with_escalation"/' configs/edge-config.yaml + # # now we should delete the persistent volume before, in case it's in a bad state -# Check if the persistent volume exists if kubectl get pv "$PERSISTENT_VOLUME_NAME" &> /dev/null; then echo "Persistent volume $PERSISTENT_VOLUME_NAME exists. Deleting it..." kubectl delete pv "$PERSISTENT_VOLUME_NAME" & @@ -34,16 +49,13 @@ if ! kubectl get namespace $DEPLOYMENT_NAMESPACE &> /dev/null; then kubectl create namespace $DEPLOYMENT_NAMESPACE fi + # Build the Docker image and import it into k3s echo "Building the Docker image..." -ls -./deploy/bin/build-push-edge-endpoint-image.sh dev export IMAGE_TAG=$(./deploy/bin/git-tag-name.sh) - -export INFERENCE_FLAVOR="CPU" +./deploy/bin/build-push-edge-endpoint-image.sh dev ./deploy/bin/setup-ee.sh -export LIVE_TEST_ENDPOINT="http://localhost:$EDGE_ENDPOINT_PORT" echo "Waiting for edge-endpoint pods to rollout..." if ! kubectl rollout status deployment/edge-endpoint -n $DEPLOYMENT_NAMESPACE --timeout=5m; then @@ -53,3 +65,17 @@ fi echo "Edge-endpoint pods have successfully rolled out." +echo "Waiting for the inference deployment to rollout (inferencemodel-$DETECTOR_ID)..." + +DETECTOR_ID_WITH_DASHES=$(echo ${DETECTOR_ID//_/-} | tr '[:upper:]' '[:lower:]') +if ! kubectl rollout status deployment/inferencemodel-$DETECTOR_ID_WITH_DASHES -n $DEPLOYMENT_NAMESPACE --timeout=5m; then + echo "Error: inference deployment for detector $DETECTOR_ID_WITH_DASHES failed to rollout within the timeout period." + exit 1 +fi +echo "Inference deployment for detector $DETECTOR_ID has successfully rolled out." + +# restore config file +mv configs/edge-config.yaml.tmp configs/edge-config.yaml + +./test/integration/run_tests.sh + diff --git a/test/integration/submit_many_image_queries.py b/test/integration/submit_many_image_queries.py deleted file mode 100644 index 1ef646d7..00000000 --- a/test/integration/submit_many_image_queries.py +++ /dev/null @@ -1,46 +0,0 @@ -import argparse - -from groundlight import Groundlight -from model import Detector - -# TODO: read port from environment variable -gl = Groundlight(endpoint="http://localhost:30107") - - -def main(): - parser = argparse.ArgumentParser(description="Submit a dog and cat image to k3s Groundlight edge-endpoint for integration tests") - parser.add_argument("-n", "--num_images", type=int, help="Number of images to submit of each", required=True) - parser.add_argument("-d", "--detector_id", type=str, help="Id of detector to use. If not provided, we will create a new one", required=False) - args = parser.parse_args() - - num_images = args.num_images - detector_id = args.detector_id - - if not detector_id: - detector = gl.get_or_create_detector(name="cat", query="Is this a cat?") - else: - detector = gl.get_detector(detector_id) - - for _ in range(num_images): - submit_cat(detector) - submit_dog(detector) - - -def submit_cat(detector: Detector): - submit_dog_or_cat(detector, "./test/integration/cat.jpg") - -def submit_dog(detector: Detector): - submit_dog_or_cat(detector, "./test/integration/dog.jpg") - -def read_image(img_file): - with open(img_file, "rb") as img_file: - byte_stream = img_file.read() - return byte_stream - -def submit_dog_or_cat(detector: Detector, img_file: str): - image = read_image(img_file) - gl.submit_image_query(detector=detector, image=image) - - -if __name__ == "__main__": - main() From 501fb983706ba4b7352669f411f081e9d67f1ddf Mon Sep 17 00:00:00 2001 From: Auto-format Bot Date: Mon, 9 Dec 2024 17:20:36 +0000 Subject: [PATCH 28/38] Automatically reformatting code with black and isort --- test/api/test_image_queries_live.py | 2 +- test/integration/integration_test.py | 37 +++++++++++++++++++--------- 2 files changed, 27 insertions(+), 12 deletions(-) diff --git a/test/api/test_image_queries_live.py b/test/api/test_image_queries_live.py index 110c85ce..0fb84e12 100644 --- a/test/api/test_image_queries_live.py +++ b/test/api/test_image_queries_live.py @@ -9,7 +9,7 @@ from PIL import Image from app.core.utils import pil_image_to_bytes -import pdb + # Tests in this file require a live edge-endpoint server and GL Api token in order to run. # Not ideal for unit-testing. TEST_ENDPOINT = os.getenv("LIVE_TEST_ENDPOINT", "http://localhost:30101") diff --git a/test/integration/integration_test.py b/test/integration/integration_test.py index 7d6e52be..4fd2ead2 100644 --- a/test/integration/integration_test.py +++ b/test/integration/integration_test.py @@ -1,16 +1,25 @@ import argparse +import random from groundlight import Groundlight from model import Detector -import random -import pdb + # TODO: read port from environment variable gl = Groundlight(endpoint="http://localhost:30107") def main(): - parser = argparse.ArgumentParser(description="Submit a dog and cat image to k3s Groundlight edge-endpoint for integration tests") - parser.add_argument("-m", "--mode", type=str, choices=['create_detector', 'initial', 'many', 'final'], help="Mode of operation: 'initial', 'many', or 'final'", required=True) + parser = argparse.ArgumentParser( + description="Submit a dog and cat image to k3s Groundlight edge-endpoint for integration tests" + ) + parser.add_argument( + "-m", + "--mode", + type=str, + choices=["create_detector", "initial", "many", "final"], + help="Mode of operation: 'initial', 'many', or 'final'", + required=True, + ) parser.add_argument("-d", "--detector_id", type=str, help="id of detector to use", required=False) args = parser.parse_args() @@ -18,17 +27,17 @@ def main(): if args.detector_id: detector = gl.get_detector(args.detector_id) - if detector is None and args.mode != 'create_detector': + if detector is None and args.mode != "create_detector": raise ValueError("You must provide detector id unless mode is create detector") - if args.mode == 'create_detector': + if args.mode == "create_detector": detector_id = create_cat_detector() - print(detector_id) # print so that the shell script can save the value - elif args.mode == 'initial': + print(detector_id) # print so that the shell script can save the value + elif args.mode == "initial": submit_initial(detector) - elif args.mode == 'many': + elif args.mode == "many": submit_many(detector) - elif args.mode == 'final': + elif args.mode == "final": submit_final(detector) @@ -38,6 +47,7 @@ def create_cat_detector() -> str: detector_id = detector.id return detector_id + def submit_initial(detector) -> str: result_yes = submit_cat(detector) result_no = submit_dog(detector) @@ -46,10 +56,12 @@ def submit_initial(detector) -> str: assert result_yes.confidence < 0.6 assert result_no.confidence < 0.6 + def submit_many(detector_id: str): - detector = gl.get_detector(detector_id) + gl.get_detector(detector_id) pass + def submit_final(detector_id: str): pass @@ -57,14 +69,17 @@ def submit_final(detector_id: str): def submit_cat(detector: Detector): return submit_dog_or_cat(detector, "./test/integration/cat.jpg") + def submit_dog(detector: Detector): return submit_dog_or_cat(detector, "./test/integration/dog.jpg") + def read_image(img_file): with open(img_file, "rb") as img_file: byte_stream = img_file.read() return byte_stream + def submit_dog_or_cat(detector: Detector, img_file: str): image = read_image(img_file) result = gl.submit_image_query(detector=detector, image=image) From 75e26b98e0eaf35551f426a694c0f82fc537023a Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Mon, 9 Dec 2024 23:22:52 +0000 Subject: [PATCH 29/38] more stuff --- poetry.lock | 185 ++++++++++++------------ pyproject.toml | 4 +- test/api/test_image_queries_live.py | 1 - test/integration/integration_test.py | 83 ++++++++--- test/integration/run_tests.sh | 30 +++- test/integration/setup_and_run_tests.sh | 14 +- 6 files changed, 181 insertions(+), 136 deletions(-) diff --git a/poetry.lock b/poetry.lock index 5cd5b113..85ef1f3b 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,4 +1,4 @@ -# This file is automatically @generated by Poetry 1.6.0 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.0 and should not be changed by hand. [[package]] name = "annotated-types" @@ -91,8 +91,8 @@ files = [ lazy-object-proxy = ">=1.4.0" typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.11\""} wrapt = [ - {version = ">=1.14,<2", markers = "python_version >= \"3.11\""}, {version = ">=1.11,<2", markers = "python_version < \"3.11\""}, + {version = ">=1.14,<2", markers = "python_version >= \"3.11\""}, ] [[package]] @@ -845,20 +845,20 @@ test = ["objgraph", "psutil"] [[package]] name = "groundlight" -version = "0.19.0" +version = "0.21.0" description = "Build computer vision systems using natural language with Groundlight" optional = false python-versions = "<4.0,>=3.9" files = [ - {file = "groundlight-0.19.0-py3-none-any.whl", hash = "sha256:670f7948e9998054c4d4dbc10e154e1e952cbb2a89fec7e6cc13354db905c2ad"}, - {file = "groundlight-0.19.0.tar.gz", hash = "sha256:d4ce65a4c5ced222181a3381065d0a7e40779528afdd98c9574847d111304327"}, + {file = "groundlight-0.21.0-py3-none-any.whl", hash = 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{version = ">=0.3.6", markers = "python_version >= \"3.11\""}, {version = ">=0.2", markers = "python_version < \"3.11\""}, + {version = ">=0.3.6", markers = "python_version >= \"3.11\""}, ] isort = ">=4.2.5,<6" mccabe = ">=0.6,<0.8" @@ -2929,4 +2924,4 @@ files = [ [metadata] lock-version = "2.0" python-versions = "^3.10" -content-hash = "5ce229cb2f6d239ec14da8ec411c559aafdfbe3f120a4d401ad0442a4c4896f0" +content-hash = "1986ec04bc212224725d8399e4dcc6ed0f1ed0813dfa2b15358a4f9ce6a94a03" diff --git a/pyproject.toml b/pyproject.toml index ffc879b6..b42aaba4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -10,17 +10,17 @@ APScheduler = "3.10.4" cachetools = "^5.3.1" fastapi = "^0.115.0" framegrab = "^0.5.0" -groundlight = ">=0.19.0, <0.20.0" jinja2 = "^3.1.2" kubernetes = "^27.2.0" opencv-python = "^4.10.0.84" -pillow = "^10.4.0" +pillow = "^11.0.0" pydantic = "^2.9.2" python = "^3.10" pyyaml = "^6.0.2" SQLAlchemy = "2.0.35" svix-ksuid = "^0.6.2" uvicorn = {version = "^0.31.0", extras = ["standard"]} +groundlight = "^0.21.0" [tool.poetry.group.dev.dependencies] coverage = "^7.6.1" diff --git a/test/api/test_image_queries_live.py b/test/api/test_image_queries_live.py index 110c85ce..65b69399 100644 --- a/test/api/test_image_queries_live.py +++ b/test/api/test_image_queries_live.py @@ -9,7 +9,6 @@ from PIL import Image from app.core.utils import pil_image_to_bytes -import pdb # Tests in this file require a live edge-endpoint server and GL Api token in order to run. # Not ideal for unit-testing. TEST_ENDPOINT = os.getenv("LIVE_TEST_ENDPOINT", "http://localhost:30101") diff --git a/test/integration/integration_test.py b/test/integration/integration_test.py index 7d6e52be..7ff56ab9 100644 --- a/test/integration/integration_test.py +++ b/test/integration/integration_test.py @@ -1,16 +1,28 @@ import argparse -from groundlight import Groundlight +from groundlight import Groundlight, GroundlightClientError from model import Detector import random import pdb -# TODO: read port from environment variable -gl = Groundlight(endpoint="http://localhost:30107") + +NUM_IQS_TO_IMPROVE_MODEL=20 + +def get_groundlight(): + try: + return Groundlight(endpoint="http://localhost:30107") + except GroundlightClientError: + # we use this to create a detector since we do that before setting up edge + # although maybe we want to be more careful here about making sure that's + # the case we're in + return Groundlight() + + +gl = get_groundlight() def main(): parser = argparse.ArgumentParser(description="Submit a dog and cat image to k3s Groundlight edge-endpoint for integration tests") - parser.add_argument("-m", "--mode", type=str, choices=['create_detector', 'initial', 'many', 'final'], help="Mode of operation: 'initial', 'many', or 'final'", required=True) + parser.add_argument("-m", "--mode", type=str, choices=['create_detector', 'initial', 'improve_model', 'final'], help="Mode of operation: 'initial', 'many', or 'final'", required=True) parser.add_argument("-d", "--detector_id", type=str, help="id of detector to use", required=False) args = parser.parse_args() @@ -26,8 +38,8 @@ def main(): print(detector_id) # print so that the shell script can save the value elif args.mode == 'initial': submit_initial(detector) - elif args.mode == 'many': - submit_many(detector) + elif args.mode == 'improve_model': + improve_model(detector) elif args.mode == 'final': submit_final(detector) @@ -39,36 +51,61 @@ def create_cat_detector() -> str: return detector_id def submit_initial(detector) -> str: - result_yes = submit_cat(detector) - result_no = submit_dog(detector) - - # low confidence before escalating to cloud and pulling new model - assert result_yes.confidence < 0.6 - assert result_no.confidence < 0.6 - -def submit_many(detector_id: str): - detector = gl.get_detector(detector_id) - pass + # 0.5 threshold to ensure we get a edge answer + iq_yes = submit_cat(detector, confidence_threshold=0.5) + iq_no = submit_dog(detector, confidence_threshold=0.5) + + # a bit dependent on the current default model, + # but that one always defaults to 0.5 confidence at first. + assert iq_yes.result.confidence == 0.5 + assert iq_no.result.confidence == 0.5 + +def improve_model(detector): + for _ in range(NUM_IQS_TO_IMPROVE_MODEL): + # there's a subtle tradeoff here. + # we're submitting images from the edge which will get escalated to the cloud + # and thus train our model. but this process is slow + iq_yes = submit_cat(detector, confidence_threshold=1, wait=0) + gl.add_label(image_query=iq_yes, label='YES') + iq_no = submit_dog(detector, confidence_threshold=1, wait=0) + gl.add_label(image_query=iq_no, label='NO') def submit_final(detector_id: str): pass -def submit_cat(detector: Detector): - return submit_dog_or_cat(detector, "./test/integration/cat.jpg") +def submit_cat(detector: Detector, confidence_threshold: float, wait: int = None): + return submit_dog_or_cat( + detector=detector, + confidence_threshold=confidence_threshold, + img_file="./test/integration/cat.jpg", + wait=wait + ) -def submit_dog(detector: Detector): - return submit_dog_or_cat(detector, "./test/integration/dog.jpg") +def submit_dog(detector: Detector, confidence_threshold: float, wait: int = None): + return submit_dog_or_cat( + detector=detector, + confidence_threshold=confidence_threshold, + img_file="./test/integration/dog.jpg", + wait=wait + ) def read_image(img_file): with open(img_file, "rb") as img_file: byte_stream = img_file.read() return byte_stream -def submit_dog_or_cat(detector: Detector, img_file: str): +def submit_dog_or_cat(detector: Detector, confidence_threshold: float, img_file: str, wait: int = None): image = read_image(img_file) - result = gl.submit_image_query(detector=detector, image=image) - return result + + image_query = gl.submit_image_query( + detector=detector, + confidence_threshold=confidence_threshold, + image=img_file, + wait=wait + ) + + return image_query if __name__ == "__main__": diff --git a/test/integration/run_tests.sh b/test/integration/run_tests.sh index 1122eb1e..6b65a563 100755 --- a/test/integration/run_tests.sh +++ b/test/integration/run_tests.sh @@ -7,15 +7,29 @@ fi echo "Submitting image queries from the edge" +echo "Submitting initial iqs, ensuring we get low confidence at first" +# submit initial tests that we get low confidence answers at first poetry run python test/integration/integration_test.py -m initial -d $DETECTOR_ID -# echo "Sleeping for 1 minute to allow deployment to get created..." -# sleep 60 -# echo "Waiting for the deployment to rollout (inferencemodel-$detector_id)" +echo "Training detector in the cloud" +# now we improve the model by submitting many iqs and labels +poetry run python test/integration/integration_test.py -m improve_model -d $DETECTOR_ID -# if ! kubectl wait --for=condition=ready pod -l app=inferencemodel-$detector_id -n $DEPLOYMENT_NAMESPACE --timeout=2m; then -# echo "Error: inference model for detector $detector_id pods failed to become ready within the timeout period." -# exit 1 -# fi +echo "Now we sleep for $REFRESH_RATE seconds to get a newer model" +sleep $REFRESH_RATE +echo "Ensuring a new pod for the deployment $DETECTOR_ID_WITH_DASHES has been created in the last $REFRESH_RATE seconds..." -# echo "Inference model for detector $detector_id has successfully rolled out" \ No newline at end of file +# Ensure our most recent pod is brand new +most_recent_pod=$(kubectl get pods -n $DEPLOYMENT_NAMESPACE -l app=inference-server -o jsonpath='{.items[-1].metadata.name}') +current_time=$(date +%s) +pod_creation_time=$(kubectl get pod $most_recent_pod -n $DEPLOYMENT_NAMESPACE -o jsonpath='{.metadata.creationTimestamp}') +pod_creation_time_seconds=$(date -d "$pod_creation_time" +%s) +time_difference=$((current_time - pod_creation_time_seconds)) + +# Check if the pod was created within 1.1 times the refresh rate +if [ $time_difference -le $(echo "$REFRESH_RATE * 1.1" | bc) ]; then + echo "A new pod for the deployment $DETECTOR_ID_WITH_DASHES has been created within 1.1 times the refresh rate." +else + echo "Error: No new pod for the deployment $DETECTOR_ID_WITH_DASHES has been created within 1.1 times the refresh rate." + exit 1 +fi \ No newline at end of file diff --git a/test/integration/setup_and_run_tests.sh b/test/integration/setup_and_run_tests.sh index d99795d4..c4c910eb 100755 --- a/test/integration/setup_and_run_tests.sh +++ b/test/integration/setup_and_run_tests.sh @@ -19,20 +19,20 @@ fi # First create a detector to use for testing: export DETECTOR_ID=$(poetry run python test/integration/integration_test.py --mode create_detector) -echo 'created detector with id:' -echo $DETECTOR_ID +echo "created detector with id: $DETECTOR_ID" + # set some other environment variables export PERSISTENT_VOLUME_NAME="test-with-k3s-pv" export EDGE_ENDPOINT_PORT="30107" export INFERENCE_FLAVOR="CPU" export LIVE_TEST_ENDPOINT="http://localhost:$EDGE_ENDPOINT_PORT" +export REFRESH_RATE=60 # not actually different than the default, but we may want to tweak this # update the config for this detector, such that we always take edge answers # but first, save the template to a temporary file cp configs/edge-config.yaml configs/edge-config.yaml.tmp sed -i "s/detector_id: \"\"/detector_id: \"$DETECTOR_ID\"/" configs/edge-config.yaml -sed -i 's/edge_inference_config: "default"/edge_inference_config: "edge_answers_with_escalation"/' configs/edge-config.yaml - +sed -i "s/refresh_rate: 60/refresh_rate: $REFRESH_RATE/" configs/edge-config.yaml # # now we should delete the persistent volume before, in case it's in a bad state if kubectl get pv "$PERSISTENT_VOLUME_NAME" &> /dev/null; then @@ -55,6 +55,8 @@ echo "Building the Docker image..." export IMAGE_TAG=$(./deploy/bin/git-tag-name.sh) ./deploy/bin/build-push-edge-endpoint-image.sh dev ./deploy/bin/setup-ee.sh +# restore config file +mv configs/edge-config.yaml.tmp configs/edge-config.yaml echo "Waiting for edge-endpoint pods to rollout..." @@ -67,15 +69,13 @@ echo "Edge-endpoint pods have successfully rolled out." echo "Waiting for the inference deployment to rollout (inferencemodel-$DETECTOR_ID)..." -DETECTOR_ID_WITH_DASHES=$(echo ${DETECTOR_ID//_/-} | tr '[:upper:]' '[:lower:]') +export DETECTOR_ID_WITH_DASHES=$(echo ${DETECTOR_ID//_/-} | tr '[:upper:]' '[:lower:]') if ! kubectl rollout status deployment/inferencemodel-$DETECTOR_ID_WITH_DASHES -n $DEPLOYMENT_NAMESPACE --timeout=5m; then echo "Error: inference deployment for detector $DETECTOR_ID_WITH_DASHES failed to rollout within the timeout period." exit 1 fi echo "Inference deployment for detector $DETECTOR_ID has successfully rolled out." -# restore config file -mv configs/edge-config.yaml.tmp configs/edge-config.yaml ./test/integration/run_tests.sh From 701091843d946a9ff3d0b2a7a842362ffeffcb0a Mon Sep 17 00:00:00 2001 From: Auto-format Bot Date: Mon, 9 Dec 2024 23:24:11 +0000 Subject: [PATCH 30/38] Automatically reformatting code with black and isort --- test/api/test_image_queries_live.py | 1 + test/integration/integration_test.py | 50 +++++++++++++++------------- 2 files changed, 27 insertions(+), 24 deletions(-) diff --git a/test/api/test_image_queries_live.py b/test/api/test_image_queries_live.py index 65b69399..0fb84e12 100644 --- a/test/api/test_image_queries_live.py +++ b/test/api/test_image_queries_live.py @@ -9,6 +9,7 @@ from PIL import Image from app.core.utils import pil_image_to_bytes + # Tests in this file require a live edge-endpoint server and GL Api token in order to run. # Not ideal for unit-testing. TEST_ENDPOINT = os.getenv("LIVE_TEST_ENDPOINT", "http://localhost:30101") diff --git a/test/integration/integration_test.py b/test/integration/integration_test.py index 03b1e1fe..fbece062 100644 --- a/test/integration/integration_test.py +++ b/test/integration/integration_test.py @@ -3,17 +3,16 @@ from groundlight import Groundlight, GroundlightClientError from model import Detector -import random -import pdb -NUM_IQS_TO_IMPROVE_MODEL=20 +NUM_IQS_TO_IMPROVE_MODEL = 20 + def get_groundlight(): try: return Groundlight(endpoint="http://localhost:30107") except GroundlightClientError: # we use this to create a detector since we do that before setting up edge - # although maybe we want to be more careful here about making sure that's + # although maybe we want to be more careful here about making sure that's # the case we're in return Groundlight() @@ -22,8 +21,17 @@ def get_groundlight(): def main(): - parser = argparse.ArgumentParser(description="Submit a dog and cat image to k3s Groundlight edge-endpoint for integration tests") - parser.add_argument("-m", "--mode", type=str, choices=['create_detector', 'initial', 'improve_model', 'final'], help="Mode of operation: 'initial', 'many', or 'final'", required=True) + parser = argparse.ArgumentParser( + description="Submit a dog and cat image to k3s Groundlight edge-endpoint for integration tests" + ) + parser.add_argument( + "-m", + "--mode", + type=str, + choices=["create_detector", "initial", "improve_model", "final"], + help="Mode of operation: 'initial', 'many', or 'final'", + required=True, + ) parser.add_argument("-d", "--detector_id", type=str, help="id of detector to use", required=False) args = parser.parse_args() @@ -39,9 +47,9 @@ def main(): print(detector_id) # print so that the shell script can save the value elif args.mode == "initial": submit_initial(detector) - elif args.mode == 'improve_model': + elif args.mode == "improve_model": improve_model(detector) - elif args.mode == 'final': + elif args.mode == "final": submit_final(detector) @@ -62,15 +70,16 @@ def submit_initial(detector) -> str: assert iq_yes.result.confidence == 0.5 assert iq_no.result.confidence == 0.5 + def improve_model(detector): for _ in range(NUM_IQS_TO_IMPROVE_MODEL): # there's a subtle tradeoff here. - # we're submitting images from the edge which will get escalated to the cloud + # we're submitting images from the edge which will get escalated to the cloud # and thus train our model. but this process is slow iq_yes = submit_cat(detector, confidence_threshold=1, wait=0) - gl.add_label(image_query=iq_yes, label='YES') + gl.add_label(image_query=iq_yes, label="YES") iq_no = submit_dog(detector, confidence_threshold=1, wait=0) - gl.add_label(image_query=iq_no, label='NO') + gl.add_label(image_query=iq_no, label="NO") def submit_final(detector_id: str): @@ -79,18 +88,13 @@ def submit_final(detector_id: str): def submit_cat(detector: Detector, confidence_threshold: float, wait: int = None): return submit_dog_or_cat( - detector=detector, - confidence_threshold=confidence_threshold, - img_file="./test/integration/cat.jpg", - wait=wait + detector=detector, confidence_threshold=confidence_threshold, img_file="./test/integration/cat.jpg", wait=wait ) + def submit_dog(detector: Detector, confidence_threshold: float, wait: int = None): return submit_dog_or_cat( - detector=detector, - confidence_threshold=confidence_threshold, - img_file="./test/integration/dog.jpg", - wait=wait + detector=detector, confidence_threshold=confidence_threshold, img_file="./test/integration/dog.jpg", wait=wait ) @@ -99,14 +103,12 @@ def read_image(img_file): byte_stream = img_file.read() return byte_stream + def submit_dog_or_cat(detector: Detector, confidence_threshold: float, img_file: str, wait: int = None): - image = read_image(img_file) + read_image(img_file) image_query = gl.submit_image_query( - detector=detector, - confidence_threshold=confidence_threshold, - image=img_file, - wait=wait + detector=detector, confidence_threshold=confidence_threshold, image=img_file, wait=wait ) return image_query From ca40e1129555fcb47174d2f6aa5be21d64d3e239 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Tue, 10 Dec 2024 00:19:14 +0000 Subject: [PATCH 31/38] finishing up --- test/integration/integration_test.py | 14 ++++++++++++-- test/integration/run_tests.sh | 14 +++++++++----- 2 files changed, 21 insertions(+), 7 deletions(-) diff --git a/test/integration/integration_test.py b/test/integration/integration_test.py index fbece062..efb07dab 100644 --- a/test/integration/integration_test.py +++ b/test/integration/integration_test.py @@ -3,8 +3,10 @@ from groundlight import Groundlight, GroundlightClientError from model import Detector +import pdb NUM_IQS_TO_IMPROVE_MODEL = 20 +ACCETABLE_TRAINED_CONFIDENCE = 0.7 def get_groundlight(): @@ -82,8 +84,16 @@ def improve_model(detector): gl.add_label(image_query=iq_no, label="NO") -def submit_final(detector_id: str): - pass +def submit_final(detector: Detector): + # 0.5 threshold to ensure we get a edge answer + iq_yes = submit_cat(detector, confidence_threshold=0.5) + iq_no = submit_dog(detector, confidence_threshold=0.5) + + assert iq_yes.result.confidence > ACCETABLE_TRAINED_CONFIDENCE + assert iq_yes.result.label.value == 'YES' + + assert iq_no.result.confidence > ACCETABLE_TRAINED_CONFIDENCE + assert iq_no.result.label.value == 'NO' def submit_cat(detector: Detector, confidence_threshold: float, wait: int = None): diff --git a/test/integration/run_tests.sh b/test/integration/run_tests.sh index 6b65a563..fbe88df4 100755 --- a/test/integration/run_tests.sh +++ b/test/integration/run_tests.sh @@ -15,8 +15,8 @@ echo "Training detector in the cloud" # now we improve the model by submitting many iqs and labels poetry run python test/integration/integration_test.py -m improve_model -d $DETECTOR_ID -echo "Now we sleep for $REFRESH_RATE seconds to get a newer model" -sleep $REFRESH_RATE +echo "Now we sleep for $((4 * REFRESH_RATE)) seconds to get a newer model" +sleep $((4 * REFRESH_RATE)) echo "Ensuring a new pod for the deployment $DETECTOR_ID_WITH_DASHES has been created in the last $REFRESH_RATE seconds..." # Ensure our most recent pod is brand new @@ -26,10 +26,14 @@ pod_creation_time=$(kubectl get pod $most_recent_pod -n $DEPLOYMENT_NAMESPACE -o pod_creation_time_seconds=$(date -d "$pod_creation_time" +%s) time_difference=$((current_time - pod_creation_time_seconds)) +echo $time_difference + # Check if the pod was created within 1.1 times the refresh rate -if [ $time_difference -le $(echo "$REFRESH_RATE * 1.1" | bc) ]; then - echo "A new pod for the deployment $DETECTOR_ID_WITH_DASHES has been created within 1.1 times the refresh rate." +if [ $(echo "$time_difference <= $REFRESH_RATE * 4" | bc) -eq 1 ]; then + echo "A new pod for the deployment $DETECTOR_ID_WITH_DASHES has been created within 2 times the refresh rate." else echo "Error: No new pod for the deployment $DETECTOR_ID_WITH_DASHES has been created within 1.1 times the refresh rate." exit 1 -fi \ No newline at end of file +fi + +poetry run python test/integration/integration_test.py -m final -d $DETECTOR_ID From e6d8ad828de31fff0cad90f3e6fd2bc1346bf2a2 Mon Sep 17 00:00:00 2001 From: Auto-format Bot Date: Tue, 10 Dec 2024 00:19:43 +0000 Subject: [PATCH 32/38] Automatically reformatting code with black and isort --- test/integration/integration_test.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/test/integration/integration_test.py b/test/integration/integration_test.py index efb07dab..3342509d 100644 --- a/test/integration/integration_test.py +++ b/test/integration/integration_test.py @@ -3,7 +3,6 @@ from groundlight import Groundlight, GroundlightClientError from model import Detector -import pdb NUM_IQS_TO_IMPROVE_MODEL = 20 ACCETABLE_TRAINED_CONFIDENCE = 0.7 @@ -90,10 +89,10 @@ def submit_final(detector: Detector): iq_no = submit_dog(detector, confidence_threshold=0.5) assert iq_yes.result.confidence > ACCETABLE_TRAINED_CONFIDENCE - assert iq_yes.result.label.value == 'YES' + assert iq_yes.result.label.value == "YES" assert iq_no.result.confidence > ACCETABLE_TRAINED_CONFIDENCE - assert iq_no.result.label.value == 'NO' + assert iq_no.result.label.value == "NO" def submit_cat(detector: Detector, confidence_threshold: float, wait: int = None): From b63eedfc3254f21dfc551141721aed0612d48038 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Fri, 13 Dec 2024 14:23:10 +0000 Subject: [PATCH 33/38] tweak some stuff --- test/integration/integration_test.py | 15 ++++++++++++--- test/integration/run_tests.sh | 16 +++++++++------- 2 files changed, 21 insertions(+), 10 deletions(-) diff --git a/test/integration/integration_test.py b/test/integration/integration_test.py index efb07dab..5bb80f5a 100644 --- a/test/integration/integration_test.py +++ b/test/integration/integration_test.py @@ -3,10 +3,10 @@ from groundlight import Groundlight, GroundlightClientError from model import Detector -import pdb +import time -NUM_IQS_TO_IMPROVE_MODEL = 20 -ACCETABLE_TRAINED_CONFIDENCE = 0.7 +NUM_IQS_TO_IMPROVE_MODEL = 10 +ACCETABLE_TRAINED_CONFIDENCE = 0.8 def get_groundlight(): @@ -63,9 +63,12 @@ def create_cat_detector() -> str: def submit_initial(detector) -> str: + start_time = time.time() # 0.5 threshold to ensure we get a edge answer iq_yes = submit_cat(detector, confidence_threshold=0.5) iq_no = submit_dog(detector, confidence_threshold=0.5) + end_time = time.time() + print(f"Time taken to get low confidence response from edge: {end_time - start_time} seconds") # a bit dependent on the current default model, # but that one always defaults to 0.5 confidence at first. @@ -86,14 +89,20 @@ def improve_model(detector): def submit_final(detector: Detector): # 0.5 threshold to ensure we get a edge answer + start_time = time.time() iq_yes = submit_cat(detector, confidence_threshold=0.5) iq_no = submit_dog(detector, confidence_threshold=0.5) + end_time = time.time() + print(f"Time taken to get high confidence response from edge: {end_time - start_time} seconds") + assert iq_yes.result.confidence > ACCETABLE_TRAINED_CONFIDENCE assert iq_yes.result.label.value == 'YES' + print(f"Final confidence for yes result: {iq_yes.result.confidence}") assert iq_no.result.confidence > ACCETABLE_TRAINED_CONFIDENCE assert iq_no.result.label.value == 'NO' + print(f"Final confidence for no result: {iq_no.result.confidence}") def submit_cat(detector: Detector, confidence_threshold: float, wait: int = None): diff --git a/test/integration/run_tests.sh b/test/integration/run_tests.sh index fbe88df4..365c5e24 100755 --- a/test/integration/run_tests.sh +++ b/test/integration/run_tests.sh @@ -15,25 +15,27 @@ echo "Training detector in the cloud" # now we improve the model by submitting many iqs and labels poetry run python test/integration/integration_test.py -m improve_model -d $DETECTOR_ID -echo "Now we sleep for $((4 * REFRESH_RATE)) seconds to get a newer model" -sleep $((4 * REFRESH_RATE)) +# Give the new model time to be pulled. We're a bit generous here. +echo "Now we sleep for $((3 * REFRESH_RATE)) seconds to get a newer model" +sleep $((3 * REFRESH_RATE)) echo "Ensuring a new pod for the deployment $DETECTOR_ID_WITH_DASHES has been created in the last $REFRESH_RATE seconds..." -# Ensure our most recent pod is brand new +# Ensure our most recent pod is brand new. most_recent_pod=$(kubectl get pods -n $DEPLOYMENT_NAMESPACE -l app=inference-server -o jsonpath='{.items[-1].metadata.name}') current_time=$(date +%s) pod_creation_time=$(kubectl get pod $most_recent_pod -n $DEPLOYMENT_NAMESPACE -o jsonpath='{.metadata.creationTimestamp}') pod_creation_time_seconds=$(date -d "$pod_creation_time" +%s) time_difference=$((current_time - pod_creation_time_seconds)) -echo $time_difference # Check if the pod was created within 1.1 times the refresh rate -if [ $(echo "$time_difference <= $REFRESH_RATE * 4" | bc) -eq 1 ]; then - echo "A new pod for the deployment $DETECTOR_ID_WITH_DASHES has been created within 2 times the refresh rate." +if [ $(echo "$time_difference <= $REFRESH_RATE * 3" | bc) -eq 1 ]; then + echo "A new pod for the deployment $DETECTOR_ID_WITH_DASHES has been created within 3 times the refresh rate." else - echo "Error: No new pod for the deployment $DETECTOR_ID_WITH_DASHES has been created within 1.1 times the refresh rate." + echo "Error: No new pod for the deployment $DETECTOR_ID_WITH_DASHES has been created within 3 times the refresh rate." exit 1 fi +echo now we check if the edge model performs well... poetry run python test/integration/integration_test.py -m final -d $DETECTOR_ID +echo All tests pass :D From 6175cc4fc66f263dd0c36417350feefdb00fc324 Mon Sep 17 00:00:00 2001 From: Auto-format Bot Date: Fri, 13 Dec 2024 14:24:31 +0000 Subject: [PATCH 34/38] Automatically reformatting code with black and isort --- test/integration/integration_test.py | 7 +++---- 1 file changed, 3 insertions(+), 4 deletions(-) diff --git a/test/integration/integration_test.py b/test/integration/integration_test.py index 5bb80f5a..587a202e 100644 --- a/test/integration/integration_test.py +++ b/test/integration/integration_test.py @@ -1,9 +1,9 @@ import argparse import random +import time from groundlight import Groundlight, GroundlightClientError from model import Detector -import time NUM_IQS_TO_IMPROVE_MODEL = 10 ACCETABLE_TRAINED_CONFIDENCE = 0.8 @@ -95,13 +95,12 @@ def submit_final(detector: Detector): end_time = time.time() print(f"Time taken to get high confidence response from edge: {end_time - start_time} seconds") - assert iq_yes.result.confidence > ACCETABLE_TRAINED_CONFIDENCE - assert iq_yes.result.label.value == 'YES' + assert iq_yes.result.label.value == "YES" print(f"Final confidence for yes result: {iq_yes.result.confidence}") assert iq_no.result.confidence > ACCETABLE_TRAINED_CONFIDENCE - assert iq_no.result.label.value == 'NO' + assert iq_no.result.label.value == "NO" print(f"Final confidence for no result: {iq_no.result.confidence}") From ffac9e52c4a3ee42643af824fd40cf5ba3899d72 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Fri, 13 Dec 2024 15:32:50 +0000 Subject: [PATCH 35/38] cleaning up pt2 --- test/api/test_image_queries_live.py | 2 ++ test/fire_extinguisher_real.png | Bin 1741376 -> 0 bytes test/integration/integration_test.py | 52 +++++++++++++++------------ test/integration/run_tests.sh | 11 ++++-- 4 files changed, 41 insertions(+), 24 deletions(-) delete mode 100644 test/fire_extinguisher_real.png diff --git a/test/api/test_image_queries_live.py b/test/api/test_image_queries_live.py index 0fb84e12..6afcee8d 100644 --- a/test/api/test_image_queries_live.py +++ b/test/api/test_image_queries_live.py @@ -19,6 +19,8 @@ # - name="edge_testing_det", # - query="Is there a dog in the image?", # - confidence_threshold=0.9 + +# we use a dynamically created detector for integration tests DETECTOR_ID = os.getenv("DETECTOR_ID", "det_2SagpFUrs83cbMZsap5hZzRjZw4") diff --git a/test/fire_extinguisher_real.png 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zfy!t74~fs(SSL4ldL4Y)8NpBbzl2YR+=s=Y|Yj@Uf str: + """ Create the intial cat detector that we use for the integration tests. We create + a new one each time. """ random_number = random.randint(0, 9999) detector = gl.create_detector(name=f"cat_{random_number}", query="Is this a cat?") detector_id = detector.id return detector_id - -def submit_initial(detector) -> str: +def submit_initial(detector: Detector) -> str: + """ Submit the initial dog and cat image to the edge. Since this method is called at the beginning + of integration tests, we expect a low confidence from the default edge model""" start_time = time.time() # 0.5 threshold to ensure we get a edge answer - iq_yes = submit_cat(detector, confidence_threshold=0.5) - iq_no = submit_dog(detector, confidence_threshold=0.5) + iq_yes = _submit_cat(detector, confidence_threshold=0.5) + iq_no = _submit_dog(detector, confidence_threshold=0.5) end_time = time.time() print(f"Time taken to get low confidence response from edge: {end_time - start_time} seconds") @@ -76,22 +86,25 @@ def submit_initial(detector) -> str: assert iq_no.result.confidence == 0.5 -def improve_model(detector): +def improve_model(detector: Detector): + """ Improve the edge model by escalating to the cloud. """ for _ in range(NUM_IQS_TO_IMPROVE_MODEL): # there's a subtle tradeoff here. # we're submitting images from the edge which will get escalated to the cloud # and thus train our model. but this process is slow - iq_yes = submit_cat(detector, confidence_threshold=1, wait=0) + iq_yes = _submit_cat(detector, confidence_threshold=1, wait=0) gl.add_label(image_query=iq_yes, label="YES") - iq_no = submit_dog(detector, confidence_threshold=1, wait=0) + iq_no = _submit_dog(detector, confidence_threshold=1, wait=0) gl.add_label(image_query=iq_no, label="NO") def submit_final(detector: Detector): + """ This is called at the end of our integration tests to make sure the edge model + is now confident. """ # 0.5 threshold to ensure we get a edge answer start_time = time.time() - iq_yes = submit_cat(detector, confidence_threshold=0.5) - iq_no = submit_dog(detector, confidence_threshold=0.5) + iq_yes = _submit_cat(detector, confidence_threshold=0.5) + iq_no = _submit_dog(detector, confidence_threshold=0.5) end_time = time.time() print(f"Time taken to get high confidence response from edge: {end_time - start_time} seconds") @@ -105,27 +118,22 @@ def submit_final(detector: Detector): print(f"Final confidence for no result: {iq_no.result.confidence}") -def submit_cat(detector: Detector, confidence_threshold: float, wait: int = None): - return submit_dog_or_cat( + +def _submit_cat(detector: Detector, confidence_threshold: float, wait: int = None): + return _submit_dog_or_cat( detector=detector, confidence_threshold=confidence_threshold, img_file="./test/integration/cat.jpg", wait=wait ) -def submit_dog(detector: Detector, confidence_threshold: float, wait: int = None): - return submit_dog_or_cat( +def _submit_dog(detector: Detector, confidence_threshold: float, wait: int = None): + return _submit_dog_or_cat( detector=detector, confidence_threshold=confidence_threshold, img_file="./test/integration/dog.jpg", wait=wait ) -def read_image(img_file): - with open(img_file, "rb") as img_file: - byte_stream = img_file.read() - return byte_stream - -def submit_dog_or_cat(detector: Detector, confidence_threshold: float, img_file: str, wait: int = None): - read_image(img_file) +def _submit_dog_or_cat(detector: Detector, confidence_threshold: float, img_file: str, wait: int = None): image_query = gl.submit_image_query( detector=detector, confidence_threshold=confidence_threshold, image=img_file, wait=wait ) diff --git a/test/integration/run_tests.sh b/test/integration/run_tests.sh index 365c5e24..0f5fa542 100755 --- a/test/integration/run_tests.sh +++ b/test/integration/run_tests.sh @@ -1,3 +1,12 @@ +# This script runs integration tests, assuming k3s and detector setup via setup_and_run_tests.sh. +# Run all tests with: > make test-with-k3s +# It combines Python (for image submission) and Bash (for k3s checks). +# The test includes: +# 1) Running pytest live tests for health, readiness, and image submission to the edge. +# 2) Submitting an image to the edge using a cat/dog detector, +# checking for low confidence, training the edge detector via cloud escalation, and +# verifying model improvement in a new edge pod. + # first do basic pytest integration style tests # we skip the async test because we're setup for edge answers if ! poetry run pytest -m live -k "not test_post_image_query_via_sdk_want_async"; then @@ -5,8 +14,6 @@ if ! poetry run pytest -m live -k "not test_post_image_query_via_sdk_want_async" exit 1 fi -echo "Submitting image queries from the edge" - echo "Submitting initial iqs, ensuring we get low confidence at first" # submit initial tests that we get low confidence answers at first poetry run python test/integration/integration_test.py -m initial -d $DETECTOR_ID From 471a60fc912fbe1574c330a4820e9e1d85e73c76 Mon Sep 17 00:00:00 2001 From: Auto-format Bot Date: Fri, 13 Dec 2024 15:33:37 +0000 Subject: [PATCH 36/38] Automatically reformatting code with black and isort --- test/integration/integration_test.py | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/test/integration/integration_test.py b/test/integration/integration_test.py index 78f5af6d..4716e2f7 100644 --- a/test/integration/integration_test.py +++ b/test/integration/integration_test.py @@ -27,8 +27,10 @@ def get_groundlight(): # the case we're in return Groundlight() + gl = get_groundlight() + def main(): parser = argparse.ArgumentParser( description="Submit a dog and cat image to k3s Groundlight edge-endpoint for integration tests" @@ -63,15 +65,16 @@ def main(): def create_cat_detector() -> str: - """ Create the intial cat detector that we use for the integration tests. We create - a new one each time. """ + """Create the intial cat detector that we use for the integration tests. We create + a new one each time.""" random_number = random.randint(0, 9999) detector = gl.create_detector(name=f"cat_{random_number}", query="Is this a cat?") detector_id = detector.id return detector_id + def submit_initial(detector: Detector) -> str: - """ Submit the initial dog and cat image to the edge. Since this method is called at the beginning + """Submit the initial dog and cat image to the edge. Since this method is called at the beginning of integration tests, we expect a low confidence from the default edge model""" start_time = time.time() # 0.5 threshold to ensure we get a edge answer @@ -87,7 +90,7 @@ def submit_initial(detector: Detector) -> str: def improve_model(detector: Detector): - """ Improve the edge model by escalating to the cloud. """ + """Improve the edge model by escalating to the cloud.""" for _ in range(NUM_IQS_TO_IMPROVE_MODEL): # there's a subtle tradeoff here. # we're submitting images from the edge which will get escalated to the cloud @@ -99,8 +102,8 @@ def improve_model(detector: Detector): def submit_final(detector: Detector): - """ This is called at the end of our integration tests to make sure the edge model - is now confident. """ + """This is called at the end of our integration tests to make sure the edge model + is now confident.""" # 0.5 threshold to ensure we get a edge answer start_time = time.time() iq_yes = _submit_cat(detector, confidence_threshold=0.5) @@ -117,7 +120,6 @@ def submit_final(detector: Detector): print(f"Final confidence for no result: {iq_no.result.confidence}") - def _submit_cat(detector: Detector, confidence_threshold: float, wait: int = None): return _submit_dog_or_cat( detector=detector, confidence_threshold=confidence_threshold, img_file="./test/integration/cat.jpg", wait=wait @@ -130,8 +132,6 @@ def _submit_dog(detector: Detector, confidence_threshold: float, wait: int = Non ) - - def _submit_dog_or_cat(detector: Detector, confidence_threshold: float, img_file: str, wait: int = None): image_query = gl.submit_image_query( detector=detector, confidence_threshold=confidence_threshold, image=img_file, wait=wait From 7554c7446ad0ed57661ab784c40ed62719a1d9b0 Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Tue, 21 Jan 2025 21:34:18 +0000 Subject: [PATCH 37/38] updates from merge --- .github/workflows/pipeline.yaml | 5 ++++- pyproject.toml | 1 - 2 files changed, 4 insertions(+), 2 deletions(-) diff --git a/.github/workflows/pipeline.yaml b/.github/workflows/pipeline.yaml index 4344b384..d94c5988 100644 --- a/.github/workflows/pipeline.yaml +++ b/.github/workflows/pipeline.yaml @@ -277,7 +277,10 @@ jobs: update-glhub: if: github.ref == 'refs/heads/main' - needs: validate-setup-ee + needs: + - validate-setup-ee + - test-sdk + - test-with-k3s runs-on: ubuntu-latest environment: live diff --git a/pyproject.toml b/pyproject.toml index e7a0ea66..e2e11760 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -21,7 +21,6 @@ pyyaml = "^6.0.2" SQLAlchemy = "2.0.35" svix-ksuid = "^0.6.2" uvicorn = {version = "^0.31.0", extras = ["standard"]} -groundlight = "^0.21.0" [tool.poetry.group.dev.dependencies] coverage = "^7.6.1" From b6063f9f08099404ced70278eef43e8c86862d0a Mon Sep 17 00:00:00 2001 From: roxanne-o Date: Tue, 21 Jan 2025 22:13:41 +0000 Subject: [PATCH 38/38] make some tests pass? --- deploy/bin/setup-ee.sh | 4 ++++ test/validate_setup_ee.sh | 2 ++ 2 files changed, 6 insertions(+) diff --git a/deploy/bin/setup-ee.sh b/deploy/bin/setup-ee.sh index ff7315ca..21a18898 100755 --- a/deploy/bin/setup-ee.sh +++ b/deploy/bin/setup-ee.sh @@ -152,6 +152,10 @@ if [[ "${DEPLOY_LOCAL_VERSION}" == "1" ]]; then # Use envsubst to replace the PERSISTENT_VOLUME_NAME, PERSISTENT_VOLUME_NAME in the local_persistent_volume.yaml template envsubst < deploy/k3s/local_persistent_volume.yaml > deploy/k3s/local_persistentvolume.yaml + $K apply -f deploy/k3s/local_persistentvolume.yaml + rm deploy/k3s/local_persistentvolume.yaml + +else # If environment variable EFS_VOLUME_ID is not set, exit if [[ -z "${EFS_VOLUME_ID}" ]]; then fail "EFS_VOLUME_ID environment variable not set" diff --git a/test/validate_setup_ee.sh b/test/validate_setup_ee.sh index c99d4ba2..d411c1a2 100755 --- a/test/validate_setup_ee.sh +++ b/test/validate_setup_ee.sh @@ -2,6 +2,8 @@ # basic script to validate that setup_ee works as expected export DEPLOYMENT_NAMESPACE="validate-setup-ee" export INFERENCE_FLAVOR="CPU" +export DEPLOY_LOCAL_VERSION="1" +export EDGE_ENDPOINT_PORT="30107" kubectl create namespace $DEPLOYMENT_NAMESPACE ./deploy/bin/setup-ee.sh

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