Merge pull request #72 from aimingmed/develop

Multi-container Unit-Test and CI included in Github Action Pipeline
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Hong Kai LEE 2025-04-19 09:01:32 +08:00 committed by GitHub
commit 6a7973a4a4
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31 changed files with 1216 additions and 312 deletions

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name: CI - build
name: Build + CI
# Triggers: Equivalent to ADO trigger block
on:
pull_request:
branches:
- develop
- main
# paths:
# - 'app/**'
# - '.github/workflows/**'
env:
IMAGE: ghcr.io/$(echo $GITHUB_REPOSITORY | tr '[A-Z]' '[a-z]')/aimingmed-ai-backend
# Concurrency control: Ensures only one run per branch at a time, Equivalent to batch: true
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
jobs:
# This job defines the matrix and calls the reusable workflow for each image build
build:
name: Build Docker Image
runs-on: ubuntu-latest
name: Build ${{ matrix.image_config.IMAGE_NAME }}
# Define necessary permissions if needed (e.g., for GitHub Packages)
permissions:
contents: read
packages: write
steps:
- name: Check disk space
run: df -h
- name: Cleanup Docker resources
if: always()
run: |
docker system prune -a -f --volumes
- name: Remove unnecessary files
run: |
sudo rm -rf /usr/share/dotnet
sudo rm -rf /opt/ghc
sudo rm -rf "/usr/local/share/boost"
sudo rm -rf "$AGENT_TOOLSDIRECTORY"
- name: Check disk space
run: df -h
- name: Checkout
uses: actions/checkout@v3
with:
ref: develop
- name: Log in to GitHub Packages
run: echo ${GITHUB_TOKEN} | docker login -u ${GITHUB_ACTOR} --password-stdin ghcr.io
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Pull image
run: |
docker pull ${{ env.IMAGE }}:latest || true
- name: Check disk space
if: always()
run: df -h
- name: Build image
run: |
docker build \
--cache-from ${{ env.IMAGE }}:latest \
--tag ${{ env.IMAGE }}:latest \
--file ./app/backend/Dockerfile.prod \
"./app/backend"
- name: Push image
run: |
docker push ${{ env.IMAGE }}:latest
- name: Check disk space
if: always()
run: df -h
- name: Cleanup Docker resources
if: always()
run: docker system prune -a -f --volumes
- name: Check disk space
if: always()
run: df -h
packages: write # If pushing to GitHub Packages registry
# Use secrets defined in the repository/organization settings
# 'inherit' makes all secrets available to the called workflow
secrets: inherit
# Define the matrix strategy based on the 'images' object from the original ADO build.yml
strategy:
fail-fast: false # Don't cancel other matrix jobs if one fails
matrix:
# We wrap the image configuration in a single 'image_config' key
# to pass it more easily if needed, but primarily access sub-keys directly.
image_config:
- IMAGE_NAME: backend-aimingmedai
BUILD_CONTEXT: ./app/backend
DOCKERFILE: ./app/backend/Dockerfile.prod
- IMAGE_NAME: frontend-aimingmedai
BUILD_CONTEXT: ./app/frontend
DOCKERFILE: ./app/frontend/Dockerfile.test
- IMAGE_NAME: tests-aimingmedai
BUILD_CONTEXT: ./app/tests
DOCKERFILE: ./app/tests/Dockerfile
# Call the reusable workflow
uses: ./.github/workflows/template_build.yml # Path to the reusable workflow file
# Pass inputs required by the reusable workflow
with:
# Pass values from the matrix context and global env
project_name: aimingmed-ai
image_repo: "ghcr.io/$(echo $GITHUB_REPOSITORY | tr '[A-Z]' '[a-z]')"
image_name: ${{ matrix.image_config.IMAGE_NAME }}
build_context: ${{ matrix.image_config.BUILD_CONTEXT }}
dockerfile: ${{ matrix.image_config.DOCKERFILE }}
build_id: ${{ github.run_id }}
commit_sha: ${{ github.sha }}
# TEST Stage equivalent
test:
name: Test Docker Image
runs-on: ubuntu-latest
needs: build
name: Run Integration Tests
needs: build # Ensure this job runs after the build job
# Define necessary permissions if needed (e.g., for GitHub Packages)
permissions:
contents: read
packages: write
steps:
- name: Check disk space
run: df -h
- name: Checkout
uses: actions/checkout@v3
with:
ref: develop
- name: Log in to GitHub Packages
run: echo ${GITHUB_TOKEN} | docker login -u ${GITHUB_ACTOR} --password-stdin ghcr.io
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Cleanup Docker resources
if: always()
run: docker system prune -a -f --volumes
- name: Remove unnecessary files
run: |
sudo rm -rf /usr/share/dotnet
sudo rm -rf /opt/ghc
sudo rm -rf "/usr/local/share/boost"
sudo rm -rf "$AGENT_TOOLSDIRECTORY"
- name: Pull image
run: |
docker pull ${{ env.IMAGE }}:latest || true
- name: Check disk space
if: always()
run: df -h
- name: Build image
run: |
docker build \
--cache-from ${{ env.IMAGE }}:latest \
--tag ${{ env.IMAGE }}:latest \
--file ./app/backend/Dockerfile.prod \
"./app/backend"
- name: Check disk space
if: always()
run: df -h
- name: Validate Docker image
run: docker inspect ${{ env.IMAGE }}:latest
- name: Run container
run: |
docker run \
-d \
-e DEEPSEEK_API_KEY=${{ secrets.DEEPSEEK_API_KEY }} \
-e TAVILY_API_KEY=${{ secrets.TAVILY_API_KEY }} \
-e ENVIRONMENT=dev \
-e TESTING=0 \
-e PORT=8765 \
-e LOG_LEVEL=DEBUG \
--name backend-backend \
-p 8004:8765 \
${{ env.IMAGE }}:latest
- name: Monitor memory usage
run: free -h
- name: Get container logs
if: failure()
run: docker logs backend-backend
- name: Pytest
run: docker exec backend-backend pipenv run python -m pytest .
# - name: Flake8
# run: docker exec backend-backend pipenv run python -m flake8 .
# - name: Black
# run: docker exec backend-backend pipenv run python -m black . --check
- name: isort
if: always()
run: docker exec backend-backend pipenv run python -m isort . --check-only
- name: Cleanup container at end of job
if: always()
run: docker stop backend-backend || true && docker rm backend-backend || true
packages: write # If pushing to GitHub Packages registry
# Call the reusable workflow for testing
uses: ./.github/workflows/template_test.yml # Path to the reusable workflow file
with:
projectName: aimingmed-ai
image_repo: ghcr.io/$(echo $GITHUB_REPOSITORY | tr '[A-Z]' '[a-z]')
testContainerName: tests-aimingmedai
# Todos: This part is not working the testEnvs is not being taken up corrrectly by Run Tests
# Pass test environment variables as JSON string
testEnvs: >
'[
"FRONTEND_URL=http://frontend:80",
"BACKEND_URL=http://backend:80",
"ENVIRONMENT=dev",
"TESTING=1",
]'
# Todos: This part is not working the testEnvs is not being taken up corrrectly by Run Tests
# Pass test directories as JSON string
tests: >
'[
"tests/integration/backend",
]'
# Pass image definitions for compose setup as JSON string
# Sensitive values should be passed via secrets and referenced within the template
images: >
[
{
"name": "backend-aimingmedai",
"ports" : ["8004:80"],
"env": {
"ENVIRONMENT": "dev",
"TESTING": "1",
"DEEPSEEK_API_KEY": "sk-XXXXXXXXXX",
"TAVILY_API_KEY": "tvly-dev-wXXXXXX"
}
},
{
"name": "frontend-aimingmedai",
"ports" : ["3004:80"],
"depends_on": ["backend-aimingmedai"],
"env": {
"ENVIRONMENT": "dev",
"TESTING": "1",
"LOG_LEVEL": "DEBUG"
}
}
]

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name: CI - build
on:
pull_request:
branches:
- develop
- main
env:
IMAGE: ghcr.io/$(echo $GITHUB_REPOSITORY | tr '[A-Z]' '[a-z]')/aimingmed-ai-backend
jobs:
build:
name: Build Docker Image
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
steps:
- name: Check disk space
run: df -h
- name: Cleanup Docker resources
if: always()
run: |
docker system prune -a -f --volumes
- name: Remove unnecessary files
run: |
sudo rm -rf /usr/share/dotnet
sudo rm -rf /opt/ghc
sudo rm -rf "/usr/local/share/boost"
sudo rm -rf "$AGENT_TOOLSDIRECTORY"
- name: Check disk space
run: df -h
- name: Checkout
uses: actions/checkout@v3
with:
ref: develop
- name: Log in to GitHub Packages
run: echo ${GITHUB_TOKEN} | docker login -u ${GITHUB_ACTOR} --password-stdin ghcr.io
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Pull image
run: |
docker pull ${{ env.IMAGE }}:latest || true
- name: Check disk space
if: always()
run: df -h
- name: Build image
run: |
docker build \
--cache-from ${{ env.IMAGE }}:latest \
--tag ${{ env.IMAGE }}:latest \
--file ./app/backend/Dockerfile.prod \
"./app/backend"
- name: Push image
run: |
docker push ${{ env.IMAGE }}:latest
- name: Check disk space
if: always()
run: df -h
- name: Cleanup Docker resources
if: always()
run: docker system prune -a -f --volumes
- name: Check disk space
if: always()
run: df -h
test:
name: Test Docker Image
runs-on: ubuntu-latest
needs: build
permissions:
contents: read
packages: write
steps:
- name: Check disk space
run: df -h
- name: Checkout
uses: actions/checkout@v3
with:
ref: develop
- name: Log in to GitHub Packages
run: echo ${GITHUB_TOKEN} | docker login -u ${GITHUB_ACTOR} --password-stdin ghcr.io
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Cleanup Docker resources
if: always()
run: docker system prune -a -f --volumes
- name: Remove unnecessary files
run: |
sudo rm -rf /usr/share/dotnet
sudo rm -rf /opt/ghc
sudo rm -rf "/usr/local/share/boost"
sudo rm -rf "$AGENT_TOOLSDIRECTORY"
- name: Pull image
run: |
docker pull ${{ env.IMAGE }}:latest || true
- name: Check disk space
if: always()
run: df -h
- name: Build image
run: |
docker build \
--cache-from ${{ env.IMAGE }}:latest \
--tag ${{ env.IMAGE }}:latest \
--file ./app/backend/Dockerfile.prod \
"./app/backend"
- name: Check disk space
if: always()
run: df -h
- name: Validate Docker image
run: docker inspect ${{ env.IMAGE }}:latest
- name: Run container
run: |
docker run \
-d \
-e DEEPSEEK_API_KEY=${{ secrets.DEEPSEEK_API_KEY }} \
-e TAVILY_API_KEY=${{ secrets.TAVILY_API_KEY }} \
-e ENVIRONMENT=dev \
-e TESTING=0 \
-e PORT=8765 \
-e LOG_LEVEL=DEBUG \
--name backend-backend \
-p 8004:8765 \
${{ env.IMAGE }}:latest
- name: Monitor memory usage
run: free -h
- name: Get container logs
if: failure()
run: docker logs backend-backend
- name: Pytest
run: docker exec backend-backend pipenv run python -m pytest .
# - name: Flake8
# run: docker exec backend-backend pipenv run python -m flake8 .
# - name: Black
# run: docker exec backend-backend pipenv run python -m black . --check
- name: isort
if: always()
run: docker exec backend-backend pipenv run python -m isort . --check-only
- name: Cleanup container at end of job
if: always()
run: docker stop backend-backend || true && docker rm backend-backend || true

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name: Reusable Docker Build Template
# Define inputs expected from the calling workflow
on:
workflow_call:
inputs:
project_name:
required: true
type: string
image_repo:
required: true
type: string
image_name:
required: true
type: string
build_context:
required: true
type: string
dockerfile:
required: true
type: string
build_id:
required: true
type: string # Pass run_id as string
commit_sha:
required: true
type: string
jobs:
build-single-image:
# This job executes the build steps for the specific image configuration passed via inputs
name: Build ${{ inputs.image_name }}
runs-on: ubuntu-latest
timeout-minutes: 120 # From original ADO template
steps:
- name: Checkout repo
# Checks out the repository code
uses: actions/checkout@v3
with:
ref: develop # Use the branch specified in the calling workflow
- name: Set up Docker Buildx
# Recommended for improved build features and caching
uses: docker/setup-buildx-action@v3
- name: Log in to GitHub Packages
run: echo ${GITHUB_TOKEN} | docker login -u ${GITHUB_ACTOR} --password-stdin ghcr.io
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Nuke Docker Cache
# Equivalent to CmdLine@2 Nuke Cache
run: |
echo "Pruning Docker system..."
docker system prune -a -f --volumes
- name: Remove unnecessary files
run: |
sudo rm -rf /usr/share/dotnet
sudo rm -rf /opt/ghc
sudo rm -rf "/usr/local/share/boost"
sudo rm -rf "$AGENT_TOOLSDIRECTORY"
- name: Check disk space
run: df -h
- name: Define Image Tags
# Define tags consistently using inputs
id: tags
run: |
echo "image_repo_path=${{ inputs.image_repo }}/${{ inputs.image_name }}" >> $GITHUB_OUTPUT
echo "tag_build_id=${{ inputs.build_id }}" >> $GITHUB_OUTPUT
echo "tag_commit_sha=${{ inputs.commit_sha }}" >> $GITHUB_OUTPUT
- name: Pull Latest Image for Cache
# Pulls the latest tag if it exists
continue-on-error: true # Mimics '|| true'
run: |
echo "Attempting to pull latest image for cache: ${{ steps.tags.outputs.image_repo_path }}:latest"
docker pull ${{ steps.tags.outputs.image_repo_path }}:latest || true
- name: Build Final Image
run: |
echo "Building final image without intermediate cache..."
docker build \
-f ${{ inputs.dockerfile }} \
--pull \
--cache-from type=registry,ref=${{ steps.tags.outputs.image_repo_path }}:latest \
-t ${{ steps.tags.outputs.image_repo_path }}:${{ steps.tags.outputs.tag_build_id }} \
-t ${{ steps.tags.outputs.image_repo_path }}:${{ steps.tags.outputs.tag_commit_sha }} \
-t ${{ steps.tags.outputs.image_repo_path }}:latest \
${{ inputs.build_context }}
- name: Push Final Image Tags
# Pushes the final tags (build id, commit sha, latest)
run: |
echo "Pushing final image tags..."
docker push ${{ steps.tags.outputs.image_repo_path }}:${{ steps.tags.outputs.tag_build_id }}
docker push ${{ steps.tags.outputs.image_repo_path }}:${{ steps.tags.outputs.tag_commit_sha }}
docker push ${{ steps.tags.outputs.image_repo_path }}:latest

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name: Reusable Test Workflow
on:
workflow_call:
inputs:
projectName:
required: true
type: string
image_repo:
required: true
type: string
images: # JSON string defining services for compose
required: true
type: string
tests: # JSON string array of test directories/commands
required: true
type: string
testEnvs: # JSON string array of env vars for the test runner container
required: false
type: string
default: '[]'
testComposeFilePath: # Path where the generated compose file will be saved
required: false
type: string
default: ./test_compose.yml # Use .yml extension for docker compose v2
testContainerName:
required: false
type: string
default: tests # Name of the image containing the tests
testResultsPath: # Path inside the test container where results are stored
required: false
type: string
default: /usr/src/app/results
testResultsFilename:
required: false
type: string
default: results.xml
jobs:
compose_and_test:
name: Compose Services and Run Tests
runs-on: ubuntu-latest
env:
# Env vars needed for compose file generation/execution
IMAGE_REPO: ${{ inputs.image_repo }}
PROJECT_NAME: ${{ inputs.projectName }}
TAG: ${{ github.run_id }} # Use run_id as the build tag
steps:
- name: Checkout Repository
uses: actions/checkout@v4
with:
ref: develop
- name: Log in to GitHub Packages
run: echo ${GITHUB_TOKEN} | docker login -u ${GITHUB_ACTOR} --password-stdin ghcr.io
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
- name: Nuke Docker Cache
# Equivalent to CmdLine@2 Nuke Cache
run: |
echo "Pruning Docker system..."
docker system prune -a -f --volumes
- name: Remove unnecessary files
run: |
sudo rm -rf /usr/share/dotnet
sudo rm -rf /opt/ghc
sudo rm -rf "/usr/local/share/boost"
sudo rm -rf "$AGENT_TOOLSDIRECTORY"
- name: Define Image Repo and other tags
# Define tags consistently using inputs
id: tags
run: |
echo "image_repo_path=${{ inputs.image_repo }}" >> $GITHUB_OUTPUT
- name: Create Docker-Compose File from Inputs
id: create_compose
shell: pwsh
run: |
# Load Inputs (parse JSON strings)
$imagesJson = '${{ inputs.images }}'
Write-Host "Substituted Images JSON: $imagesJson" # Debugging - remove sensitive info if public
$images = $imagesJson | ConvertFrom-Json
$testComposePath = "${{ inputs.testComposeFilePath }}"
# create compose structure (using YAML structure for Docker Compose v2+)
$compose = @{ services = @{}; networks = @{} }
$compose.networks.test = @{ external = $false; name = "test-network-${{ github.run_id }}" } # Use unique network name per run
# Generate services Section Based on Images inputs
foreach ($img in $images) {
$serviceName = $img.name
$svc = @{}
$svc.container_name = $serviceName
$svc.image = "${{ steps.tags.outputs.image_repo_path }}/$($serviceName):${{ env.TAG }}" # Use run_id tag
if ($img.depends_on) {
$svc.depends_on = $img.depends_on
}
if ($img.env) {
$svc.environment = $img.env
} else {
$svc.environment = @{}
}
$svc.networks = @("test") # Assign service to the custom network
if ($img.ports) {
$svc.ports = $img.ports
}
$compose.services.$serviceName = $svc
}
# Convert PS object to YAML and write file
# Installing powershell-yaml module might be needed on some runners
# Install-Module -Name powershell-yaml -Force -Scope CurrentUser # Uncomment if needed
# Import-Module powershell-yaml # Uncomment if needed
# $compose | ConvertTo-Yaml | Out-File -Encoding utf8 $testComposePath
# Alternative: Convert to JSON then use a tool to convert JSON to YAML, or just use JSON with compose
# Using JSON with docker compose -f is often simpler
$compose | ConvertTo-Json -Depth 10 | Out-File -Encoding utf8 $testComposePath.replace('.yml','.json')
echo "COMPOSE_FILE_PATH=$($testComposePath.replace('.yml','.json'))" >> $env:GITHUB_OUTPUT
# Removed 'docker network create test' - using isolated compose network now
- name: Clean Docker Services (if any previous)
run: |
docker compose -f ${{ steps.create_compose.outputs.COMPOSE_FILE_PATH }} down -v --remove-orphans || true
continue-on-error: true
- name: Start Docker Compose Services
run: |
echo "Using compose file: ${{ steps.create_compose.outputs.COMPOSE_FILE_PATH }}"
cat "${{ steps.create_compose.outputs.COMPOSE_FILE_PATH }}" # Print generated compose file (check secrets aren't exposed if public)
docker compose -f "${{ steps.create_compose.outputs.COMPOSE_FILE_PATH }}" up -d
- name: Print Service Logs on Failure or Success
if: always() # Always run this step
run: |
echo "Printing final logs from Docker Compose services..."
docker compose -f "${{ steps.create_compose.outputs.COMPOSE_FILE_PATH }}" logs
- name: Wait for Services
run: |
echo "Waiting 60 seconds for services to initialize..."
sleep 60
echo "Compose logs after wait:"
docker compose -f "${{ steps.create_compose.outputs.COMPOSE_FILE_PATH }}" logs
- name: Check Docker Services Health
run: |
echo "Checking health of Docker services..."
# Check if all services are healthy
docker compose -f "${{ steps.create_compose.outputs.COMPOSE_FILE_PATH }}" ps
- name: Debug Network Connections
if: always() # Run even if previous steps failed
run: |
echo "--- Inspecting network: test-network-${{ github.run_id }} ---"
docker network inspect test-network-${{ github.run_id }}
echo "--- Listing running containers (docker ps) ---"
docker ps -a --format "table {{.ID}}\t{{.Names}}\t{{.Image}}\t{{.Status}}\t{{.Ports}}\t{{.Networks}}"
echo "--- Backend Service Logs ---"
docker logs backend-aimingmedai || echo "Could not get logs for backend-aimingmedai" # Replace with actual service name
- name: Run Tests
shell: bash
run: |
TEST_DIRS='["tests/integration/backend"]'
TEST_ENVS_JSON='["ENVIRONMENT=dev","TESTING=1", "DEEPSEEK_API_KEY=sk-XXXXXXXXXX","TAVILY_API_KEY=tvly-dev-wXXXXXX"]'
RESULTS_PATH="${{ inputs.testResultsPath }}"
STAGING_DIR="${{ runner.temp }}/test-results" # Use runner temp dir for results
mkdir -p "$STAGING_DIR"
# Prepare environment variables for docker run
ENV_ARGS=""
if [[ "$TEST_ENVS_JSON" != "[]" ]]; then
# Convert JSON array string to individual env vars
while IFS= read -r line; do
ENV_ARGS+=" -e \"$line\""
done <<< $(echo "$TEST_ENVS_JSON" | jq -r '.[]')
else
# Add a dummy env var if none are provided, as required by original script logic
ENV_ARGS+=" -e DUMMY_ENV_TEST_RUN_ID=${{ github.run_id }}"
fi
echo "Env args: $ENV_ARGS" # Debugging
# Get the dynamically generated network name
COMPOSE_NETWORK_NAME=$(docker network ls --filter name=test-network-${{ github.run_id }} --format "{{.Name}}")
echo "Using Network: $COMPOSE_NETWORK_NAME"
# Loop through test directories and execute tests
echo "$TEST_DIRS" | jq -r '.[]' | while read test_dir; do
test_dir=$(echo $test_dir | sed 's/"//g') # Remove quotes
echo "Running test: $test_dir"
docker run \
--network "$COMPOSE_NETWORK_NAME" \
$ENV_ARGS \
-v "$STAGING_DIR:$RESULTS_PATH" \
--rm \
"${{ steps.tags.outputs.image_repo_path }}/${{ inputs.testContainerName }}:${{ github.run_id }}" \
"$test_dir"
# Add error handling if needed (e.g., exit script if a test run fails)
if [ $? -ne 0 ]; then
echo "Test failed: $test_dir"
# exit 1 # Uncomment to stop on first failure
fi
done
# Copy results file to expected location for upload artifact (adjust filename if needed)
# Assuming all test runs output to the *same* results file, overwriting previous ones.
# If they output to different files, adjust this copy/rename logic.
if [[ -f "$STAGING_DIR/${{ inputs.testResultsFilename }}" ]]; then
cp "$STAGING_DIR/${{ inputs.testResultsFilename }}" "${{ runner.temp }}/${{ inputs.testResultsFilename }}"
else
echo "Warning: Test results file ${{ inputs.testResultsFilename }} not found in $STAGING_DIR"
fi
- name: Upload Test Results Artifact
if: always() # Run even if tests fail
uses: actions/upload-artifact@v4
with:
name: test-results-${{ github.run_id }}
path: ${{ runner.temp }}/${{ inputs.testResultsFilename }} # Path to the results file on the runner
retention-days: 7
# Optional: Publish Test Results for UI display
- name: Publish Test Results
if: success() || failure() # always run even if the previous step fails
uses: mikepenz/action-junit-report@v5
with:
report_paths: ${{ runner.temp }}/${{ inputs.testResultsFilename }}
include_passed: true
- name: Docker Compose Down
if: always() # Always run cleanup
run: |
echo "Bringing down Docker Compose services..."
docker compose -f "${{ steps.create_compose.outputs.COMPOSE_FILE_PATH }}" down -v --remove-orphans

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[![CI/CD - build](https://github.com/aimingmed/aimingmed-ai/actions/workflows/build.yml/badge.svg)](https://github.com/aimingmed/aimingmed-ai/actions/workflows/build.yml)
[![Build + CI](https://github.com/aimingmed/aimingmed-ai/actions/workflows/build.yml/badge.svg)](https://github.com/aimingmed/aimingmed-ai/actions/workflows/build.yml)
## Important note:

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# pull official base image
FROM python:3.11-slim
FROM python:3.11-slim-bullseye
# set working directory
WORKDIR /usr/src/app
# create directory for the app user
RUN mkdir -p /home/app
# create the app user
RUN addgroup --system app && adduser --system --group app
# create the appropriate directories
ENV HOME=/home/app
ENV APP_HOME=/home/app/backend
RUN mkdir $APP_HOME
WORKDIR $APP_HOME
# set environment variables
ENV PYTHONDONTWRITEBYTECODE 1
ENV PYTHONUNBUFFERED 1
# install system dependencies
RUN apt-get update \
&& apt-get -y install build-essential netcat-traditional gcc \
&& apt-get clean
# install python dependencies
RUN pip install --upgrade pip setuptools wheel -i https://pypi.tuna.tsinghua.edu.cn/simple
RUN pip install pipenv -i https://pypi.tuna.tsinghua.edu.cn/simple
COPY ./Pipfile .
RUN pipenv install --deploy --dev
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV ENVIRONMENT=dev
ENV TESTING=1
# add app
COPY . .
COPY . $APP_HOME
# install python dependencies
RUN pip install -i https://pypi.tuna.tsinghua.edu.cn/simple pipenv && rm -rf ~/.cache/pip
RUN pipenv install --deploy --dev
# chown all the files to the app user
RUN chown -R app:app $APP_HOME
# change to the app user
USER app
# pytest
RUN pipenv run pytest tests --disable-warnings
# expose the port the app runs on
EXPOSE 80
# run uvicorn
CMD ["pipenv", "run", "uvicorn", "main:app", "--reload", "--workers", "1", "--host", "0.0.0.0", "--port", "80"]

View File

@ -5,18 +5,14 @@
# pull official base image
FROM python:3.11-slim-bookworm AS builder
# set working directory
WORKDIR /usr/src/app
# set environment variables
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
# install system dependencies
# RUN apt-get update && apt-get -y install build-essential \
# && apt-get clean \
# && rm -rf /var/lib/apt/lists/*
ENV ENVIRONMENT=dev
ENV TESTING=1
# install python dependencies
RUN pip install -i https://pypi.tuna.tsinghua.edu.cn/simple pipenv && rm -rf ~/.cache/pip
@ -25,10 +21,11 @@ RUN pipenv install --deploy --dev
# add app
COPY . /usr/src/app
# RUN pipenv run pip install black==23.12.1 flake8==7.0.0 isort==5.13.2
# RUN pipenv run flake8 .
# RUN pipenv run black --exclude=migrations . --check
# RUN pipenv run isort . --check-only
RUN export DEEPSEEK_API_KEY=sk-XXXXXXXXXX; export TAVILY_API_KEY=tvly-dev-wXXXXXX;\
pipenv run pytest tests --disable-warnings
RUN pipenv run flake8 .
RUN pipenv run black --exclude=migrations . --check
RUN pipenv run isort . --check-only
#########
# FINAL #
@ -56,16 +53,11 @@ ENV PYTHONUNBUFFERED=1
ENV ENVIRONMENT=prod
ENV TESTING=0
# install system dependencies
# RUN apt-get update \
# && apt-get -y install build-essential \
# && apt-get clean \
#&& rm -rf /var/lib/apt/lists/*
# install python dependencies
COPY --from=builder /usr/src/app/Pipfile .
RUN pip install -i https://pypi.tuna.tsinghua.edu.cn/simple pipenv && rm -rf ~/.cache/pip
RUN pipenv install --deploy --dev
COPY --from=builder /usr/src/app/Pipfile .
RUN pipenv install --deploy
RUN pipenv run pip install "uvicorn[standard]==0.26.0"
# add app
@ -78,7 +70,7 @@ RUN chown -R app:app $APP_HOME
USER app
# expose the port the app runs on
EXPOSE 8765
EXPOSE 80
# run uvicorn
CMD ["pipenv", "run", "uvicorn", "main:app", "--reload", "--workers", "1", "--host", "0.0.0.0", "--port", "8765"]
CMD ["pipenv", "run", "uvicorn", "main:app", "--reload", "--workers", "1", "--host", "0.0.0.0", "--port", "80"]

View File

@ -6,7 +6,7 @@ name = "pypi"
[packages]
fastapi = "==0.115.9"
starlette = "==0.45.3"
uvicorn = "==0.26.0"
uvicorn = {version = "==0.26.0", extras = ["standard"]}
pydantic-settings = "==2.1.0"
gunicorn = "==21.0.1"
python-decouple = "==3.8"

187
app/backend/Pipfile.lock generated
View File

@ -1,7 +1,7 @@
{
"_meta": {
"hash": {
"sha256": "a6778423552ff7c5442034df8bdbfa526ab8ccc841ccb5bb37c1afd3abb3f3be"
"sha256": "5d9bbaeb520a4c6fc604de7dbc6ee0d9a087b0a07610eba4d66e4dcc89d468e2"
},
"pipfile-spec": 6,
"requires": {
@ -364,19 +364,19 @@
},
"google-auth": {
"hashes": [
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],
"markers": "python_version >= '3.7'",
"version": "==2.38.0"
"version": "==2.39.0"
},
"googleapis-common-protos": {
"hashes": [
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],
"markers": "python_version >= '3.7'",
"version": "==1.69.2"
"version": "==1.70.0"
},
"grpcio": {
"hashes": [
@ -739,11 +739,11 @@
},
"langsmith": {
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],
"markers": "python_version >= '3.9' and python_version < '4.0'",
"version": "==0.3.30"
"version": "==0.3.31"
},
"markdown-it-py": {
"hashes": [
@ -1032,11 +1032,11 @@
},
"openai": {
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"version": "==1.73.0"
"version": "==1.74.0"
},
"opentelemetry-api": {
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@ -1210,80 +1210,90 @@
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"sha256:b2dbea1012ccb784a65349f57bbc93730b96e85b42e9bf7b01ef40443db720b4",
"sha256:b4ba4be812c7a40280629e55ae0b14a0aafa150dd6451297562e1764808bbe61",
"sha256:b93a07e76d13bff9444f1a029e0af2964e654bfc2e2c2d46bfd080df5ad5f3d8",
"sha256:bf2c33d6791c598142f00c9c4c7d47f6476731c31081331664eb26d6ab583e01",
"sha256:c27476257b2fdcd7872d54cfd119b3a9ce4610fb85c8e32b70b42e3680a29a1e",
"sha256:c8bd62331e5032bc396a93609982a9ab6b411c05078a52f5fe3cc59234a3abd1",
"sha256:c97209e85b5be259994eb5b69ff50c5d20cca0f458ef9abd835e262d9d88b39d",
"sha256:cc1c3bc53befb6096b84165956e886b1729634a799e9d6329a0c512ab651e579",
"sha256:cc5d875d56e49f112b6def6813c4e3d3036d269c008bf8aef72cd08d20ca6df6",
"sha256:d189ba1bebfbc0c0e529159631ec72bb9e9bc041f01ec6d3233d6d82eb823bc1",
"sha256:d4e5c5edee874dce4f653dbe59db7c73a600119fbea8d31f53423586ee2aafd7",
"sha256:d57a75d53922fc20c165016a20d9c44f73305e67c351bbc60d1adaf662e74047",
"sha256:da3104c57bbd72948d75f6a9389e6727d2ab6333c3617f0a89d72d4940aa0443",
"sha256:dd6b20b93b3ccc9c1b597999209e4bc5cf2853f9ee66e3fc9a400a78733ffc9a",
"sha256:e0409af9f829f87a2dfb7e259f78f317a5351f2045158be321fd135973fff7bf",
"sha256:e0b55f27f584ed623221cfe995c912c61606be8513bfa0e07d2c674b4516d9dd",
"sha256:e616e7154c37669fc1dfc14584f11e284e05d1c650e1c0f972f281c4ccc53193",
"sha256:e6def7eed9e7fa90fde255afaf08060dc4b343bbe524a8f69bdd2a2f0018f600",
"sha256:ea926cfbc3957090becbcbbb65ad177161a2ff2ad578b5a6ec9bb1e1cd78753c",
"sha256:f0d3348c95b766f54b76116d53d4cb171b52992a1027e7ca50c81b43b9d9e363",
"sha256:f6b0c664ccb879109ee3ca702a9272d877f4fcd21e5eb63c26422fd6e415365e",
"sha256:f781dcb0bc9929adc77bad571b8621ecb1e4cdef86e940fe2e5b5ee24fd33b35",
"sha256:f91ebf30830a48c825590aede79376cb40f110b387c17ee9bd59932c961044f9",
"sha256:fdec757fea0b793056419bca3e9932eb2b0ceec90ef4813ea4c1e072c389eb28",
"sha256:fe15238d3798788d00716637b3d4e7bb6bde18b26e5d08335a96e88564a36b6b"
],
"markers": "python_version >= '3.9'",
"version": "==11.1.0"
"version": "==11.2.1"
},
"posthog": {
"hashes": [
@ -2151,11 +2161,11 @@
},
"transformers": {
"hashes": [
"sha256:5cb8259098b75ff4b5dd04533a318f7c4750d5307d9617e6d0593526432c404d",
"sha256:ed221c31581e97127cff5de775b05f05d19698b439d7d638ff445502a7f37331"
"sha256:e292fcab3990c6defe6328f0f7d2004283ca81a7a07b2de9a46d67fd81ea1409",
"sha256:fd3279633ceb2b777013234bbf0b4f5c2d23c4626b05497691f00cfda55e8a83"
],
"markers": "python_full_version >= '3.9.0'",
"version": "==4.51.2"
"version": "==4.51.3"
},
"typer": {
"hashes": [
@ -2197,7 +2207,6 @@
"sha256:48bfd350fce3c5c57af5fb4995fded8fb50da3b4feb543eb18ad7e0d54589602",
"sha256:cdb58ef6b8188c6c174994b2b1ba2150a9a8ae7ea5fb2f1b856b94a815d6071d"
],
"index": "pypi",
"markers": "python_version >= '3.8'",
"version": "==0.26.0"
},

View File

@ -5,19 +5,21 @@ from decouple import config
from fastapi import APIRouter, WebSocket, WebSocketDisconnect
from langchain_deepseek import ChatDeepSeek
from models.adaptive_rag import grading, query, routing
from .utils import ConnectionManager
router = APIRouter()
# Load environment variables
os.environ["DEEPSEEK_API_KEY"] = config("DEEPSEEK_API_KEY", cast=str)
os.environ["TAVILY_API_KEY"] = config("TAVILY_API_KEY", cast=str)
os.environ["DEEPSEEK_API_KEY"] = config(
"DEEPSEEK_API_KEY", cast=str, default="sk-XXXXXXXXXX"
)
os.environ["TAVILY_API_KEY"] = config(
"TAVILY_API_KEY", cast=str, default="tvly-dev-wXXXXXX"
)
# Initialize the DeepSeek chat model
llm_chat = ChatDeepSeek(
model="deepseek-chat",
model="deepseek-chat",
temperature=0,
max_tokens=None,
timeout=None,
@ -27,28 +29,36 @@ llm_chat = ChatDeepSeek(
# Initialize the connection manager
manager = ConnectionManager()
@router.websocket("/ws")
async def websocket_endpoint(websocket: WebSocket):
await manager.connect(websocket)
try:
while True:
data = await websocket.receive_text()
try:
data_json = json.loads(data)
if isinstance(data_json, list) and len(data_json) > 0 and 'content' in data_json[0]:
async for chunk in llm_chat.astream(data_json[0]['content']):
await manager.send_personal_message(json.dumps({"type": "message", "payload": chunk.content}), websocket)
else:
await manager.send_personal_message("Invalid message format", websocket)
data = await websocket.receive_text()
except json.JSONDecodeError:
await manager.broadcast("Invalid JSON message")
try:
data_json = json.loads(data)
if (
isinstance(data_json, list)
and len(data_json) > 0
and "content" in data_json[0]
):
async for chunk in llm_chat.astream(data_json[0]["content"]):
await manager.send_personal_message(
json.dumps({"type": "message", "payload": chunk.content}),
websocket,
)
else:
await manager.send_personal_message(
"Invalid message format", websocket
)
except json.JSONDecodeError:
await manager.broadcast("Invalid JSON message")
except WebSocketDisconnect:
manager.disconnect(websocket)
await manager.broadcast("Client disconnected")
except WebSocketDisconnect:
manager.disconnect(websocket)
await manager.broadcast("Client disconnected")

View File

@ -22,4 +22,3 @@ class ConnectionManager:
json_message = {"type": "message", "payload": message}
for connection in self.active_connections:
await connection.send_text(json.dumps(json_message))

View File

@ -14,4 +14,4 @@ class Settings(BaseSettings):
@lru_cache()
def get_settings() -> BaseSettings:
log.info("Loading config settings from the environment...")
return Settings()
return Settings()

View File

@ -1,21 +1,19 @@
import logging
import uvicorn
from fastapi import Depends, FastAPI
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from api import chatbot, ping
from config import Settings, get_settings
log = logging.getLogger("uvicorn")
origins = ["http://localhost:8004"]
def create_application() -> FastAPI:
application = FastAPI()
application.include_router(ping.router, tags=["ping"])
application.include_router(
chatbot.router, tags=["chatbot"])
application.include_router(chatbot.router, tags=["chatbot"])
return application
@ -28,7 +26,3 @@ app.add_middleware(
allow_methods=["*"],
allow_headers=["*"],
)
# if __name__ == "__main__":
# uvicorn.run("main:app", host="0.0.0.0", port=8765, reload=True)

View File

@ -8,6 +8,7 @@ class GradeDocuments(BaseModel):
description="Documents are relevant to the question, 'yes' or 'no'"
)
class GradeHallucinations(BaseModel):
"""Binary score for hallucination present in generation answer."""
@ -15,9 +16,10 @@ class GradeHallucinations(BaseModel):
description="Answer is grounded in the facts, 'yes' or 'no'"
)
class GradeAnswer(BaseModel):
"""Binary score to assess answer addresses question."""
binary_score: str = Field(
description="Answer addresses the question, 'yes' or 'no'"
)
)

View File

@ -4,6 +4,6 @@ from pydantic import BaseModel, Field
class QueryRequest(BaseModel):
query: str = Field(..., description="The question to ask the model")
class QueryResponse(BaseModel):
response: str = Field(..., description="The model's response")

View File

@ -9,4 +9,4 @@ class RouteQuery(BaseModel):
datasource: Literal["vectorstore", "web_search"] = Field(
...,
description="Given a user question choose to route it to web search or a vectorstore.",
)
)

2
app/backend/setup.cfg Normal file
View File

@ -0,0 +1,2 @@
[flake8]
max-line-length = 119

View File

@ -1,11 +0,0 @@
import json
import os
import sys
import unittest
from unittest.mock import AsyncMock, MagicMock
from fastapi import WebSocket, WebSocketDisconnect
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..')))
from api.chatbot import llm_chat, manager, websocket_endpoint

View File

@ -5,11 +5,12 @@ from unittest.mock import AsyncMock, MagicMock
from fastapi import WebSocket
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), '..', '..')))
from api.utils import ConnectionManager
sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..")))
# Test for ConnectionManager class
class TestConnectionManager(unittest.IsolatedAsyncioTestCase):
async def asyncSetUp(self):
self.manager = ConnectionManager()
@ -38,8 +39,13 @@ class TestConnectionManager(unittest.IsolatedAsyncioTestCase):
self.manager.active_connections = [mock_websocket1, mock_websocket2]
message = "Broadcast message"
await self.manager.broadcast(message)
mock_websocket1.send_text.assert_awaited_once_with('{"type": "message", "payload": "Broadcast message"}')
mock_websocket2.send_text.assert_awaited_once_with('{"type": "message", "payload": "Broadcast message"}')
mock_websocket1.send_text.assert_awaited_once_with(
'{"type": "message", "payload": "Broadcast message"}'
)
mock_websocket2.send_text.assert_awaited_once_with(
'{"type": "message", "payload": "Broadcast message"}'
)
if __name__ == '__main__':
unittest.main()
if __name__ == "__main__":
unittest.main()

View File

@ -10,14 +10,14 @@ services:
backend:
build:
context: ./backend
dockerfile: Dockerfile.prod
container_name: backend
dockerfile: Dockerfile
container_name: backend-aimingmedai
platform: linux/amd64
# command: pipenv run uvicorn main:app --reload --workers 1 --host 0.0.0.0 --port 8765
volumes:
- ./backend:/usr/src/app
- ./backend:/home/app/backend
ports:
- "8000:8765"
- "8004:80"
environment:
- ENVIRONMENT=dev
- TESTING=0
@ -25,14 +25,25 @@ services:
frontend:
build:
context: ./frontend
dockerfile: Dockerfile.local
container_name: frontend
dockerfile: Dockerfile.test
container_name: frontend-aimingmedai
volumes:
- ./frontend:/usr/src/app
- /usr/src/app/node_modules
ports:
- "3000:5173"
- "3004:80"
depends_on:
- backend
environment:
LOG_LEVEL: "DEBUG"
tests:
build:
context: ./tests
container_name: tests-aimingmedai
# depends_on:
# - backend
# - frontend
environment:
FRONTEND_URL: http://frontend:80
BACKEND_URL: http://backend:80

1
app/frontend/.env.test Normal file
View File

@ -0,0 +1 @@
REACT_APP_BASE_DOMAIN_NAME_PORT=localhost:8004

View File

@ -0,0 +1,18 @@
####### BUILDER IMAGE #######
# Build stage
FROM node:alpine
WORKDIR /usr/src/app
# Copy everything else, test and build
COPY . /usr/src/app
# Build the app with a specific .env file
ARG ENV_FILE=.env.test
COPY ${ENV_FILE} /usr/src/app/.env
# Copy dependency files and install dependencies
RUN npm install && npm i --save-dev @types/jest
EXPOSE 80
CMD [ "npm", "run", "dev", "--", "--host", "0.0.0.0", "--port", "80" ]

View File

@ -1,6 +1,6 @@
import React, { useState, useEffect, useRef } from 'react';
const BASE_DOMAIN_NAME = import.meta.env.REACT_APP_DOMAIN_NAME || 'localhost';
const BASE_DOMAIN_NAME_PORT = import.meta.env.REACT_APP_DOMAIN_NAME_PORT || 'localhost:8004';
interface Message {
@ -16,7 +16,7 @@ const App: React.FC = () => {
useEffect(() => {
mounted.current = true;
const ws = new WebSocket(`ws://${BASE_DOMAIN_NAME}:8000/ws`);
const ws = new WebSocket(`ws://${BASE_DOMAIN_NAME_PORT}/ws`);
setSocket(ws);
ws.onopen = () => {
console.log('WebSocket connection opened');

14
app/tests/Dockerfile Normal file
View File

@ -0,0 +1,14 @@
# TEST
FROM python:3.11-slim-bullseye
WORKDIR /usr/src/app
COPY Pipfile .
RUN pip3 install --upgrade pip &&\
pip3 install pipenv &&\
pipenv install --dev
COPY tests ./tests
ENTRYPOINT ["pipenv", "run", "pytest", "--junit-xml=results/results.xml"]

22
app/tests/Pipfile Normal file
View File

@ -0,0 +1,22 @@
[[source]]
url = "https://pypi.org/simple"
verify_ssl = true
name = "pypi"
[packages]
pytest = "*"
requests = "*"
jsonschema = "*"
evonik-dummy = "*"
pyrsistent = "*"
pyjwt = "*"
pydantic = "*"
websockets = "*"
pytest-asyncio = "*"
pytest-cov = "*"
[dev-packages]
autopep8 = "*"
[requires]
python_version = "3.11"

276
app/tests/Pipfile.lock generated Normal file
View File

@ -0,0 +1,276 @@
{
"_meta": {
"hash": {
"sha256": "c1b2460cc178bc5b3ed94b7d759cc4838a5b71891722ee9de151e81d45237011"
},
"pipfile-spec": 6,
"requires": {
"python_version": "3.11"
},
"sources": [
{
"name": "pypi",
"url": "https://pypi.org/simple",
"verify_ssl": true
}
]
},
"default": {
"annotated-types": {
"hashes": [
"sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53",
"sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"
],
"markers": "python_version >= '3.8'",
"version": "==0.7.0"
},
"attrs": {
"hashes": [
"sha256:427318ce031701fea540783410126f03899a97ffc6f61596ad581ac2e40e3bc3",
"sha256:75d7cefc7fb576747b2c81b4442d4d4a1ce0900973527c011d1030fd3bf4af1b"
],
"markers": "python_version >= '3.8'",
"version": "==25.3.0"
},
"certifi": {
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],
"markers": "python_version >= '3.6'",
"version": "==2025.1.31"
},
"charset-normalizer": {
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"markers": "python_version >= '3.7'",
"version": "==3.4.1"
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"evonik-dummy": {
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"index": "pypi",
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"version": "==0.0.13"
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# tests
Here, we provide integration tests for (all) components.
These integration tests can be run locally or via docker-compose.
## run using docker-compose
Run all tests using the dummy implementations of backend and jobs:
```bash
docker-compose up -d --build backend frontend
docker-compose up --build tests
```
Stop all containers:
```bash
docker-compose down -v
```
## run locally
You can start the dummy implementations as follows:
```bash
docker-compose up -d --build backend frontend
```
To run the tests locally, you must specify the base urls of backend and jobs api:
```bash
export BACKEND_URL="http://localhost:8004"
export FRONTEND_URL="http://localhost:3000"
```
All values default to `http://localhost:8080`.
### install dependencies
To install the dependencies for the tests, execute the following (in `/app/tests/`):
```bash
pipenv install
```
### run tests
To run the tests locally, execute the following:
```bash
pipenv run pytest tests/integration/
```
To execute tests for jobs / backend only, execute the following:
```bash
pipenv run pytest tests/integration/jobs
pipenv run pytest tests/integration/backend
```
You can also run single groups of tests, e.g.:
```bash
pipenv run pytest tests/integration/backend/tests/test_constraint_types.py -k create
```

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import pytest
import websockets
@pytest.mark.asyncio
async def test_websocket_connection():
url = "ws://backend-aimingmedai:80/ws"
try:
async with websockets.connect(url):
assert True # If the connection is established, the test passes
except Exception:
assert False # If any exception occurs, the test fails