Add docker tests

.github/workflows/test_dev.yml

@@ -3,15 +3,18 @@ name: test_dev
 # Controls when the workflow will run
 on:
   pull_request:
+    types: [review_requested, ready_for_review]
     branches:
     - dev
+    unlabel: [halted_testing]
   # Manual trigger
   workflow_dispatch:
 
 # A workflow run is made up of one or more jobs that can run sequentially or in parallel
 jobs:
   # This workflow contains a single job called "build"
   build:
+    if: ${{ github.event.label.name != 'halted_testing' }}
     strategy:
       fail-fast: false
       matrix:
@@ -30,7 +33,10 @@ jobs:
         uses: actions/setup-python@v3
         with:
           python-version: ${{ matrix.python }}
-
+      - name: Log in with Azure
+        uses: azure/login@v1
+        with:
+          creds: '${{ secrets.AZURE_CREDENTIALS }}'
       - name: Install OpenQAOA
         run: |
           python -m pip install --user virtualenv
@@ -39,29 +45,34 @@ jobs:
           python -m pip install --upgrade pip
           pip install .[tests]
           pip install ipykernel
-
-      - name: Install qvm
+      - name: Setup IBMQ account
+        env:
+          IBMQ_TOKEN: ${{ secrets.IBMQ_TOKEN }} 
         run: |
-          find /usr/lib -name "libffi.so*"
-          sudo ln -s /usr/lib/x86_64-linux-gnu/libffi.so /usr/lib/x86_64-linux-gnu/libffi.so.6
-          wget -q https://downloads.rigetti.com/qcs-sdk/forest-sdk-2.23.0-linux-deb.tar.bz2
-          tar -xf forest-sdk-2.23.0-linux-deb.tar.bz2
-          cd forest-sdk-2.23.0-linux-deb/
-          sudo apt-get update
-          sudo apt-get install -y screen libblas-dev libblas3 libgfortran5 liblapack-dev liblapack3
-          sudo ./forest-sdk-2.23.0-linux-deb.run
-          qvm --version
-          quilc --version
-          echo "Starting qvm and quilc"
-          screen -d -m qvm -S
-          screen -d -m quilc -S
-          cd ..
-
+          IBMQ_TOKEN=$IBMQ_TOKEN
+          source env/bin/activate
+          python -c'from qiskit import IBMQ; import os; IBMQ.save_account(os.environ.get("IBMQ_TOKEN"))'
+      - name: Setup AWS
+        env:
+          ACCESS_KEY: ${{ secrets.ACCESS_KEY }} 
+          SECRET_ACCESS_KEY: ${{ secrets.SECRET_ACCESS_KEY }} 
+        run: |
+          python -m pip install awscli
+          aws configure set aws_access_key_id $ACCESS_KEY
+          aws configure set aws_secret_access_key $SECRET_ACCESS_KEY
+          aws configure set region us-west-1
+          aws configure set output json
+      - name: Build the docker stack
+        run: |
+          docker login -u AWS -p $(aws ecr get-login-password --region us-east-1) 292282985366.dkr.ecr.us-east-1.amazonaws.com
+          docker network create local_bridge
+          docker build -t amazon-braket-oq-dev .
+          docker-compose up -d
       - name: Run tests
         run: |
           source env/bin/activate
           ipython kernel install --name "env" --user
-          python -m pytest -v -m 'not (qpu or api or docker_aws)' --cov --cov-report=xml:coverage.xml
+          pytest tests/ -v -m '(not qpu or api)' --cov --cov-report=xml:coverage.xml
 
       - name: Upload coverage reports to Codecov with GitHub Action
         uses: codecov/codecov-action@v3
@@ -70,6 +81,7 @@ jobs:
           files: ./coverage.xml
 
   docs:
+    if: ${{ github.event.label.name != 'halted_testing' }}
     runs-on: ubuntu-latest
     steps:
       - name: Check out openqaoa

.github/workflows/test_main_linux.yml

@@ -19,16 +19,19 @@ jobs:
     # The type of runner that the job will run on
     runs-on:  ${{ matrix.os }}
 
-    # Steps represent a sequence of tasks that will be executed as part of the job
     steps:
+      # Checks-out your repository under $GITHUB_WORKSPACE, so your job can access it
       - uses: actions/checkout@v3
         with:
           ref: ${{ github.event.pull_request.head.sha }}
       - name: Set up Python
-        uses: actions/setup-python@v4
+        uses: actions/setup-python@v3
         with:
           python-version: ${{ matrix.python }}
-
+      - name: Log in with Azure
+        uses: azure/login@v1
+        with:
+          creds: '${{ secrets.AZURE_CREDENTIALS }}'
       - name: Install OpenQAOA
         run: |
           python -m pip install --user virtualenv
@@ -37,37 +40,42 @@ jobs:
           python -m pip install --upgrade pip
           pip install .[tests]
           pip install ipykernel
-             
-      - name: QVM on ubuntu
-        if: ${{ matrix.os=='ubuntu-latest' }} 
+      - name: Setup IBMQ account
+        env:
+          IBMQ_TOKEN: ${{ secrets.IBMQ_TOKEN }} 
         run: |
-          find /usr/lib -name "libffi.so*"
-          sudo ln -s /usr/lib/x86_64-linux-gnu/libffi.so /usr/lib/x86_64-linux-gnu/libffi.so.6
-          wget -q https://downloads.rigetti.com/qcs-sdk/forest-sdk-2.23.0-linux-deb.tar.bz2
-          tar -xf forest-sdk-2.23.0-linux-deb.tar.bz2
-          cd forest-sdk-2.23.0-linux-deb/
-          sudo apt-get update
-          sudo apt-get install -y screen libblas-dev libblas3 libgfortran5 liblapack-dev liblapack3
-          sudo ./forest-sdk-2.23.0-linux-deb.run
-          qvm --version
-          quilc --version
-          echo "Starting qvm and quilc"
-          screen -d -m qvm -S
-          screen -d -m quilc -S
-          cd ..
-
+          IBMQ_TOKEN=$IBMQ_TOKEN
+          source env/bin/activate
+          python -c'from qiskit import IBMQ; import os; IBMQ.save_account(os.environ.get("IBMQ_TOKEN"))'
+      - name: Setup AWS
+        env:
+          ACCESS_KEY: ${{ secrets.ACCESS_KEY }} 
+          SECRET_ACCESS_KEY: ${{ secrets.SECRET_ACCESS_KEY }} 
+        run: |
+          python -m pip install awscli
+          aws configure set aws_access_key_id $ACCESS_KEY
+          aws configure set aws_secret_access_key $SECRET_ACCESS_KEY
+          aws configure set region us-west-1
+          aws configure set output json
+      - name: Build the docker stack
+        run: |
+          docker login -u AWS -p $(aws ecr get-login-password --region us-east-1) 292282985366.dkr.ecr.us-east-1.amazonaws.com
+          docker network create local_bridge
+          docker build -t amazon-braket-oq-dev .
+          docker-compose up -d
       - name: Run tests
         run: |
           source env/bin/activate
           ipython kernel install --name "env" --user
-          python -m pytest -v -m 'not (qpu or api or docker_aws)' 
+          pytest tests/ -v -m '(not qpu or api)' --cov --cov-report=xml:coverage.xml
 
       - name: Upload coverage reports to Codecov with GitHub Action
         uses: codecov/codecov-action@v3
         with:
           token: ${{ secrets.CODECOV_TOKEN }} # not required for public repos
           files: ./coverage.xml
 
+
   docs:
     runs-on: ubuntu-latest
     steps:

Dockerfile

@@ -0,0 +1,7 @@
+FROM 292282985366.dkr.ecr.us-east-1.amazonaws.com/amazon-braket-pytorch-jobs:1.9.1-gpu-py38-cu111-ubuntu20.04
+
+RUN mkdir -p /openqaoa
+
+ADD ./ /openqaoa/
+
+RUN pip3 install /openqaoa/.

docker-compose.yml

@@ -0,0 +1,27 @@
+version: '3'
+
+networks:
+  local_bridge:
+    external: true
+
+services:
+  amazon-braket-oq-dev:
+    image: amazon-braket-oq-dev
+    networks:
+     - local_bridge
+  qvm:
+    container_name: qvm
+    image: rigetti/qvm:latest
+    command: ["-S"]
+    networks:
+     - local_bridge
+    ports:
+     - 5000:5000
+  quilc:
+    container_name: quilc
+    image: rigetti/quilc:latest
+    command: ["-P", "-S" ]
+    networks:
+     - local_bridge
+    ports:
+     - 5555:5555

examples/12_testing_azure.ipynb

@@ -17,7 +17,9 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Default QAOA on the IonQ Emulator"
+    "## Default QAOA on the IonQ Emulator\n",
+    "\n",
+    "Before using OpenQAOA with Azure quantum, you will be required to log in to your azure account through the Azure CLI. This can be done via `az login` in your command line terminal after installing the Azure CLI. After following the steps required for authentication, you will be able to use the Azure backend with OpenQAOA!"
    ]
   },
   {
@@ -37,6 +39,15 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "In order to create the Azure Device for OpenQAOA, you have to provide a valid resource ID that points to the Workspace that contains access to the QPU (and emulator) providers, `resource_id`, and the location of the azure server hosting that workspace, `az_location`."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Once you've created the Azure Device, you can use the OpenQAOA workflow like you normally do for other backends. (Only this time you pass in the Azure Device instead!)\n",
+    "\n",
     "Let's generate a sample problem, and solve it using an OpenQAOA workflow"
    ]
   },
@@ -209,13 +220,27 @@
     "q.result.optimized"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "And that's it! You've completed your first OpenQAOA Workflow run on the Azure platform with the IonQ Emulator."
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
     "## A more advanced QAOA workflow on the Rigetti QVM"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's try another QAOA Workflow, but this time on the Rigetti QVM hosted on Azure."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 17,
@@ -366,6 +391,13 @@
     "## RQAOA on a QVM"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The RQAOA Workflow also works with Azure. (Note: RQAOA requires multiple loops of the QAOA algorithm, this algorithm can require many executions on the QPU. Thus, it will take a while!)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 22,
@@ -1643,6 +1675,17 @@
    "source": [
     "r.result"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "And there you have it! You've just performed QAOA and RQAOA on Emulators hosted by Azure.\n",
+    "Azure Quantum also contains QPUs hosted by hardware providers like Rigetti and IonQ. \n",
+    "We can't wait to see what you can do with OpenQAOA and this new backend!\n",
+    "If you find something that you'd like to have as a feature or a bug while using the Azure backend. \n",
+    "Raise an issue and we will keep in touch!"
+   ]
   }
  ],
  "metadata": {

pytest.ini

@@ -4,4 +4,5 @@ markers =
     api: marks tests that require a coonection to a QC cloud (deselect with '-m "not api"')
     qvm: marks tests that require an attive Rigetti QVM and QILC compiler (deselect with '-m "not qvm"')
     docker_aws: marks tests that require to build aws docker (deselect with '-m "not docker_aws"')
+    braket_api: marks tests that require valid AWS credentials (no QPU) (deselect with '-m "not braket_api"')
     notebook: marks tests that run on jupyter noteboks (deselect with '-m "not notebook"')

src/openqaoa-azure/backends/devices.py

@@ -28,9 +28,9 @@ def __init__(self, device_name: str, resource_id: str, az_location: str):
         device_name: `str`
             The name of the Azure remote QPU/Simulator to be used
         resource_id: `str`
-            resource_id
+            The resource_id of the Workplace
         az_location: `str`
-            az_location
+            The location of the Azure Workplace. e.g. "westus"
         """
 
         self.resource_id = resource_id

src/openqaoa-qiskit/backends/qaoa_qiskit_qpu.py

@@ -95,19 +95,11 @@ def __init__(
             False,
             None,
         ]:
-            if type(self.device).__name__ == "DeviceAzure":
-                raise Exception(
-                    "Connection to Azure was made. Error connecting to the specified backend."
-                )
-            else:
-                raise Exception(
-                    "Connection to IBMQ was made. Error connecting to the specified backend."
-                )
+            raise Exception("Connection to {} was made. Error connecting to the specified backend.".format(self.device.device_location.upper()))
+
         else:
-            if type(self.device).__name__ == "DeviceAzure":
-                raise Exception("Error connecting to Azure.")
-            else:
-                raise Exception("Error connecting to IBMQ.")
+
+            raise Exception("Error connecting to {}.".format(self.device.device_location.upper()))
 
         if self.device.n_qubits < self.n_qubits:
             raise Exception(