Deploying graphrag-accelerator

Question

Following this example https://github.com/Azure-Samples/graphrag-accelerator/blob/main/docs/DEPLOYMENT-GUIDE.md
to deploy graphrag-accelerator.
the command

bash deploy.sh -p deploy.parameters.json

fails with error Registering GraphRAG API with APIM...

Checking for GraphRAG API availability...Backend Swagger URL: https://apim-3aa2hkbnsst76.azure-api.net/manpage/openapi.json

Looking at the logs - it is throwing a 503 error. I am deploying in region UK South.

output of run is below

bash deploy.sh -p deploy.parameters.json

_____ _ _____ _____

/ ____| | | | __ \ /\ / ____|

| | __ _ __ __ _ _ __ | |__ | |__) | / \ | | __

| | |_ | '__/ ` | ' | '_ | _ / / /\ | | |_ |

| || | | | (| | |) | | | | | \ \ / ____ | || |

_|| _,_| ./|| ||| _//_ ______|

/\ | | | | | |

/ \ ___ __||_| | ___ _ __ __ | | ___ _ __

/ /\ \ / __/ / _ | |/ _ | '/ _` | / _ | '|

/ ____ | (| (| __| | __| | | (| | || () | |

// ______||_|| _,|__/|_|

Checking for required tools... Done.

Checking required parameters... Done.

Checking optional parameters...

setting APIM_TIER=Developer

setting AISEARCH_ENDPOINT_SUFFIX=search.windows.net

setting AISEARCH_AUDIENCE=https://search.azure.com

setting PUBLISHER_NAME=publisher

setting PUBLISHER_EMAIL=publisher@microsoft.com

setting CLOUD_NAME=AzurePublicCloud

setting REPORTERS=blob,console,app_insights

setting GRAPHRAG_COGNITIVE_SERVICES_ENDPOINT=https://cognitiveservices.azure.com/.default

setting GRAPHRAG_IMAGE=graphrag:backend

Done.

Checking cloud region for VM sku availability... Done.

Checking Location for SKU Quota Usage... Done.

Checking if resource group test-resource-group exists... Yes.

Checking if sshkey exists... Yes.

Checking if APIM was soft-deleted... Done.

Deploying Azure resources...

Deployment name: graphrag-deploy-2025-01-28_19-59-16

Assigning 'Cognitive Services OpenAI Contributor' role to managed identity... Done.

Deploying docker image 'graphrag:backend' to container registry 'cr3aa2hkbnsst76.azurecr.io'...

2025/01/28 20:04:08 Downloading source code...

2025/01/28 20:04:09 Finished downloading source code

2025/01/28 20:04:09 Using acb_vol_4cef27f4-66c8-4b86-a80c-e3cbec5ac29a as the home volume

2025/01/28 20:04:09 Setting up Docker configuration...

2025/01/28 20:04:10 Successfully set up Docker configuration

2025/01/28 20:04:10 Logging in to registry: cr3aa2hkbnsst76.azurecr.io

2025/01/28 20:04:11 Successfully logged into cr3aa2hkbnsst76.azurecr.io

2025/01/28 20:04:11 Executing step ID: build. Timeout(sec): 28800, Working directory: '', Network: ''

2025/01/28 20:04:11 Scanning for dependencies...

2025/01/28 20:04:11 Successfully scanned dependencies

2025/01/28 20:04:11 Launching container with name: build

Sending build context to Docker daemon 2.476MB

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Digest: sha256:8a3c11850dd304f4345591bc698062248c164e0992c034926057e6bb248f62f9

Status: Downloaded newer image for mcr.microsoft.com/devcontainers/python:3.10-bookworm

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Step 7/15 : ENV PYTHONPATH=/backend

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Step 8/15 : ENV TIKTOKEN_CACHE_DIR=/opt/tiktoken_cache/

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Step 9/15 : COPY backend /backend

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Step 10/15 : RUN cd backend && pip install poetry && poetry config virtualenvs.create false && poetry install

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Installing collected packages: trove-classifiers, fastjsonschema, distlib, zipp, urllib3, tomlkit, tomli, shellingham, rapidfuzz, pyproject-hooks, pycparser, poetry-core, platformdirs, pkginfo, packaging, msgpack, more-itertools, jeepney, installer, idna, filelock, crashtest, charset-normalizer, certifi, backports.tarfile, virtualenv, requests, jaraco.functools, jaraco.context, jaraco.classes, importlib_metadata, dulwich, cleo, cffi, build, requests-toolbelt, cryptography, cachecontrol, SecretStorage, keyring, poetry

Successfully installed SecretStorage-3.3.3 backports.tarfile-1.2.0 build-1.2.2.post1 cachecontrol-0.14.2 certifi-2024.12.14 cffi-1.17.1 charset-normalizer-3.4.1 cleo-2.1.0 crashtest-0.4.1 cryptography-44.0.0 distlib-0.3.9 dulwich-0.22.7 fastjsonschema-2.21.1 filelock-3.17.0 idna-3.10 importlib_metadata-8.6.1 installer-0.7.0 jaraco.classes-3.4.0 jaraco.context-6.0.1 jaraco.functools-4.1.0 jeepney-0.8.0 keyring-25.6.0 more-itertools-10.6.0 msgpack-1.1.0 packaging-24.2 pkginfo-1.12.0 platformdirs-4.3.6 poetry-2.0.1 poetry-core-2.0.1 pycparser-2.22 pyproject-hooks-1.2.0 rapidfuzz-3.11.0 requests-2.32.3 requests-toolbelt-1.0.0 shellingham-1.5.4 tomli-2.2.1 tomlkit-0.13.2 trove-classifiers-2025.1.15.22 urllib3-2.3.0 virtualenv-20.29.1 zipp-3.21.0

Skipping virtualenv creation, as specified in config file.

Installing dependencies from lock file

Package operations: 221 installs, 4 updates, 0 removals

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- Installing h11 (0.14.0)

- Downgrading importlib-metadata (8.6.1 -> 8.5.0)

- Installing jedi (0.19.2)

- Installing joblib (1.4.2)

- Installing jupyter-events (0.11.0)

- Installing jupyter-server-terminals (0.5.3)

- Installing llvmlite (0.43.0)

- Installing matplotlib-inline (0.1.7)

- Installing mdurl (0.1.2)

- Installing nbconvert (7.16.4)

- Installing overrides (7.7.0)

- Installing partd (1.4.2)

- Installing pexpect (4.9.0)

- Installing prometheus-client (0.21.1)

- Installing prompt-toolkit (3.0.48)

- Installing pytz (2024.2)

- Installing scipy (1.12.0)

- Installing send2trash (1.8.3)

- Installing stack-data (0.6.3)

- Installing threadpoolctl (3.5.0)

- Installing tzdata (2024.2)

- Installing websocket-client (1.8.0)

- Installing wrapt (1.17.0)

- Installing babel (2.16.0)

- Installing comm (0.2.2)

- Installing contourpy (1.3.1)

- Installing cycler (0.12.1)

- Installing dask (2024.12.1)

- Installing debugpy (1.8.11)

- Installing deprecated (1.2.15)

- Installing fonttools (4.55.3)

- Installing httpcore (1.0.7)

- Installing ipython (8.31.0)

- Installing json5 (0.10.0)

- Installing jupyter-server (2.15.0)

- Installing kiwisolver (1.4.8)

- Installing markdown-it-py (3.0.0)

- Installing nest-asyncio (1.6.0)

- Installing numba (0.60.0)

- Installing pandas (2.2.3)

- Installing pillow (11.0.0)

- Installing psutil (5.9.8)

- Installing pyarrow (15.0.2)

- Installing pyjwt (2.10.1)

- Installing pyparsing (3.2.0)

- Installing scikit-learn (1.6.0)

- Installing uc-micro-py (1.0.3)

- Installing annotated-types (0.7.0)

- Installing async-lru (2.0.4)

- Installing dask-expr (1.1.21)

- Installing autograd (1.7.0)

- Installing frozenlist (1.5.0)

- Installing httpx (0.28.1)

- Installing ipykernel (6.29.5)

- Installing jupyter-lsp (2.2.5)

- Installing jupyterlab-server (2.27.3)

- Installing linkify-it-py (2.0.3)

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- Installing msal (1.31.1)

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- Installing notebook-shim (0.2.4)

- Installing oauthlib (3.2.2)

- Installing opentelemetry-api (1.29.0)

- Installing patsy (1.0.1)

- Installing portalocker (2.10.1)

- Installing propcache (0.2.1)

- Installing py (1.11.0)

- Installing pyasn1 (0.6.1)

- Installing pydantic-core (2.27.2)

- Installing pynndescent (0.5.13)

- Updating setuptools (69.0.3 -> 75.6.0)

- Installing smart-open (7.1.0)

- Installing tqdm (4.67.1)

- Installing aiohappyeyeballs (2.4.4)

- Installing aiosignal (1.3.2)

- Installing async-timeout (5.0.1)

- Installing azure-common (1.1.28)

- Installing anytree (2.12.1)

- Installing azure-core (1.32.0)

- Installing beartype (0.18.5)

- Installing cachetools (5.5.0)

- Installing cramjam (2.9.1)

- Installing deprecation (2.1.0)

- Installing diskcache (5.6.3)

- Installing distro (1.9.0)

- Downgrading filelock (3.17.0 -> 3.16.1)

- Installing gensim (4.3.3)

- Installing graspologic-native (1.2.1)

- Installing hyppo (0.4.0)

- Installing isodate (0.7.2)

- Installing jiter (0.8.2)

- Installing jupyterlab (4.3.4)

- Installing jupyterlab-widgets (3.0.13)

- Installing marshmallow (3.23.2)

- Installing msal-extensions (1.2.0)

- Installing networkx (3.4.2)

- Installing opentelemetry-semantic-conventions (0.50b0)

- Installing pot (0.9.5)

- Installing pyasn1-modules (0.4.1)

- Installing pydantic (2.10.4)

- Installing pylance (0.16.0)

- Installing python-dotenv (1.0.1)

- Installing ratelimiter (1.2.0.post0)

- Installing regex (2024.11.6)

- Installing requests-oauthlib (2.0.0)

- Installing retry (0.9.2)

- Installing rich (13.9.4)

- Installing rsa (4.9)

- Installing seaborn (0.13.2)

- Installing starlette (0.41.3)

- Installing statsmodels (0.14.4)

- Installing umap-learn (0.5.7)

- Installing widgetsnbextension (4.0.13)

- Installing yarl (1.18.3)

- Installing aiofiles (24.1.0)

- Installing aiohttp (3.11.11)

- Installing aiolimiter (1.2.1)

- Installing azure-identity (1.19.0)

- Installing azure-datalake-store (0.0.53)

- Installing azure-search-documents (11.5.2)

- Installing azure-storage-blob (12.24.0)

- Installing cfgv (3.4.0)

- Installing datashaper (0.0.49)

- Installing devtools (0.12.2)

- Installing durationpy (0.9)

- Installing environs (11.2.1)

- Installing fastapi (0.115.6)

- Installing fastparquet (2024.11.0)

- Installing fixedint (0.1.6)

- Installing future (1.0.0)

- Installing google-auth (2.37.0)

- Installing graspologic (3.4.1)

- Installing identify (2.6.4)

- Installing ipywidgets (8.1.5)

- Installing json-repair (0.28.4)

- Installing jupyter-console (6.6.3)

- Installing lancedb (0.12.0)

- Installing mccabe (0.7.0)

- Installing msrest (0.7.1)

- Installing nltk (3.9.1)

- Installing nodeenv (1.9.1)

- Installing notebook (7.3.2)

- Installing openai (1.58.1)

- Installing opentelemetry-sdk (1.29.0)

- Installing pyaml-env (1.2.1)

- Installing pycodestyle (2.12.1)

- Installing pyflakes (3.2.0)

- Installing swifter (1.4.0)

- Installing tenacity (9.0.0)

- Installing textual (0.78.0)

- Installing tiktoken (0.7.0)

- Installing uvloop (0.20.0)

- Downgrading virtualenv (20.29.1 -> 20.28.0)

- Installing adlfs (2024.12.0)

- Installing applicationinsights (0.11.10)

- Installing azure-cosmos (4.9.0)

- Installing detect-secrets (1.5.0)

- Installing fastapi-offline (1.7.3)

- Installing azure-monitor-opentelemetry-exporter (1.0.0b32)

- Installing flake8 (7.1.1)

- Installing graphrag (0.3.3)

- Installing jupyter (1.1.1)

- Installing kubernetes (31.0.0)

- Installing pre-commit (4.0.1)

- Installing python-multipart (0.0.20)

- Installing ruff (0.8.4)

- Installing uvicorn (0.34.0)

Removing intermediate container 4ebe7c3db706

---> 995b83a33eae

Step 11/15 : RUN python -c "import nltk;nltk.download(['punkt','averaged_perceptron_tagger','maxent_ne_chunker','words','wordnet'])"

---> Running in 2f3740c85c4e

[nltk_data] Downloading package punkt to /root/nltk_data...

[nltk_data] Unzipping tokenizers/punkt.zip.

[nltk_data] Downloading package averaged_perceptron_tagger to

[nltk_data] /root/nltk_data...

[nltk_data] Unzipping taggers/averaged_perceptron_tagger.zip.

[nltk_data] Downloading package maxent_ne_chunker to

[nltk_data] /root/nltk_data...

[nltk_data] Unzipping chunkers/maxent_ne_chunker.zip.

[nltk_data] Downloading package words to /root/nltk_data...

[nltk_data] Unzipping corpora/words.zip.

[nltk_data] Downloading package wordnet to /root/nltk_data...

Removing intermediate container 2f3740c85c4e

---> 57d54b485baa

Step 12/15 : RUN python -c "import tiktoken; tiktoken.encoding_for_model('gpt-3.5-turbo'); tiktoken.encoding_for_model('gpt-4'); tiktoken.encoding_for_model('gpt-4o');"

---> Running in 76f8084268a9

Removing intermediate container 76f8084268a9

---> aed6bc3b1f34

Step 13/15 : WORKDIR /backend

---> Running in 8c4538ccc856

Removing intermediate container 8c4538ccc856

---> 840456472a0a

Step 14/15 : EXPOSE 80

---> Running in 5729c140e2ae

Removing intermediate container 5729c140e2ae

---> a028351e5049

Step 15/15 : CMD ["uvicorn", "src.main:app", "--host", "0.0.0.0", "--port", "80"]

---> Running in f51e222144e0

Removing intermediate container f51e222144e0

---> e988764cd236

Successfully built e988764cd236

Successfully tagged cr3aa2hkbnsst76.azurecr.io/graphrag:backend

2025/01/28 20:06:01 Successfully executed container: build

2025/01/28 20:06:01 Executing step ID: push. Timeout(sec): 3600, Working directory: '', Network: ''

2025/01/28 20:06:01 Pushing image: cr3aa2hkbnsst76.azurecr.io/graphrag:backend, attempt 1

The push refers to repository [cr3aa2hkbnsst76.azurecr.io/graphrag]

a886684e0dac: Preparing

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backend: digest: sha256:39ca1a0377e3bcf422d7928a97e4c50a21c5184189e9d5ee35318cd6b76b3791 size: 4742

2025/01/28 20:07:22 Successfully pushed image: cr3aa2hkbnsst76.azurecr.io/graphrag:backend

2025/01/28 20:07:22 Step ID: build marked as successful (elapsed time in seconds: 110.131550)

2025/01/28 20:07:22 Populating digests for step ID: build...

2025/01/28 20:07:23 Successfully populated digests for step ID: build

2025/01/28 20:07:23 Step ID: push marked as successful (elapsed time in seconds: 80.952780)

2025/01/28 20:07:23 The following dependencies were found:

2025/01/28 20:07:23

image:

registry: cr3aa2hkbnsst76.azurecr.io

repository: graphrag

tag: backend

digest: sha256:39ca1a0377e3bcf422d7928a97e4c50a21c5184189e9d5ee35318cd6b76b3791

runtime-dependency:

registry: mcr.microsoft.com

repository: devcontainers/python

tag: 3.10-bookworm

digest: sha256:8a3c11850dd304f4345591bc698062248c164e0992c034926057e6bb248f62f9

git: {}

Run ID: db6 was successful after 3m15s

Getting AKS credentials... Merged "aks-3aa2hkbnsst76" as current context in /Users/gurinderbrar/.kube/config

RBAC service might reject creating role assignment without --assignee-principal-type in the future. Better to specify --assignee-principal-type manually.

{

"condition": null,

"conditionVersion": null,

"createdBy": "d1de4b50-eb17-4222-bd33-08b9057556a8",

"createdOn": "2025-01-28T11:46:55.777050+00:00",

"delegatedManagedIdentityResourceId": null,

"description": null,

"id": "/subscriptions/ddf8c2b5-fb13-42c7-a47c-cae1fcc97946/resourcegroups/test-resource-group/providers/Microsoft.ContainerService/managedClusters/aks-3aa2hkbnsst76/providers/Microsoft.Authorization/roleAssignments/d32f7f95-f9ce-434f-b775-c19d7986a134",

"name": "d32f7f95-f9ce-434f-b775-c19d7986a134",

"principalId": "d1de4b50-eb17-4222-bd33-08b9057556a8",

"principalName": "gurinder.brar@kainos.com",

"principalType": "User",

"resourceGroup": "test-resource-group",

"roleDefinitionId": "/subscriptions/ddf8c2b5-fb13-42c7-a47c-cae1fcc97946/providers/Microsoft.Authorization/roleDefinitions/b1ff04bb-8a4e-4dc4-8eb5-8693973ce19b",

"roleDefinitionName": "Azure Kubernetes Service RBAC Cluster Admin",

"scope": "/subscriptions/ddf8c2b5-fb13-42c7-a47c-cae1fcc97946/resourcegroups/test-resource-group/providers/Microsoft.ContainerService/managedClusters/aks-3aa2hkbnsst76",

"type": "Microsoft.Authorization/roleAssignments",

"updatedBy": "d1de4b50-eb17-4222-bd33-08b9057556a8",

"updatedOn": "2025-01-28T11:46:55.777050+00:00"

}

Context "aks-3aa2hkbnsst76" modified.

Done

Deploying graphrag helm chart...

helm upgrade -i graphrag ./helm/graphrag -f ./helm/graphrag/values.yaml --namespace graphrag --create-namespace --set serviceAccount.name=graphrag-workload-sa --set 'serviceAccount.annotations.azure.workload.identity/client-id=8af1d873-4686-4430-ae73-9b4458adb95e' --set master.image.repository=cr3aa2hkbnsst76.azurecr.io/graphrag --set master.image.tag=backend --set ingress.host=graphrag.graphrag.io --set 'graphragConfig.APP_INSIGHTS_CONNECTION_STRING=InstrumentationKey=b5ecb097-dde0-48ed-a7b5-723532303076;IngestionEndpoint=https://uksouth-1.in.applicationinsights.azure.com/;LiveEndpoint=https://uksouth.livediagnostics.monitor.azure.com/;ApplicationId=a8f352d0-9e1b-4c14-bb7c-ffb9abb92792' --set graphragConfig.AI_SEARCH_URL=https://srch-3aa2hkbnsst76.search.windows.net --set graphragConfig.AI_SEARCH_AUDIENCE=https://search.azure.com --set graphragConfig.COSMOS_URI_ENDPOINT=https://cosmos-3aa2hkbnsst76.documents.azure.com:443/ --set graphragConfig.GRAPHRAG_API_BASE=https://azure-openai-test-01.openai.azure.com --set graphragConfig.GRAPHRAG_API_VERSION=2023-03-15-preview --set graphragConfig.GRAPHRAG_COGNITIVE_SERVICES_ENDPOINT=https://cognitiveservices.azure.com/.default --set graphragConfig.GRAPHRAG_LLM_MODEL=gpt-4 --set graphragConfig.GRAPHRAG_LLM_DEPLOYMENT_NAME=gpt-4 --set graphragConfig.GRAPHRAG_EMBEDDING_MODEL=text-embedding-ada-002 --set graphragConfig.GRAPHRAG_EMBEDDING_DEPLOYMENT_NAME=text-embedding-ada-002 --set 'graphragConfig.REPORTERS=blob,console,app_insights' --set graphragConfig.STORAGE_ACCOUNT_BLOB_URL=https://st3aa2hkbnsst76.blob.core.windows.net/

Release "graphrag" has been upgraded. Happy Helming!

NAME: graphrag

LAST DEPLOYED: Tue Jan 28 20:07:47 2025

NAMESPACE: graphrag

STATUS: deployed

REVISION: 6

NOTES:

Thank you for installing graphrag.

Your release is named graphrag.

To learn more about the release, try:

$ helm status graphrag

$ helm get all graphrag

local helmResult=0
true
set +x

Checking for GraphRAG external IP Available.

Registering GraphRAG API with APIM...

Checking for GraphRAG API availability...Backend Swagger URL: https://apim-3aa2hkbnsst76.azure-api.net/manpage/openapi.json

.................... Failed.

________________________________

/ Uh oh, an error has occurred. \

\ Please see message below. /

‾‾‾‾‾‾‾‾‾‾/‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾‾

/

__ /

/ \

~ ~

/ \ /_\

\o/ \o/

| |

|| |/

|| ||

| _/ |

\ /

___/

GraphRAG API unavailable, exiting...

Answer

it seems to indicate the backend service for the api is not yet ready. could be just a timing issue that the container takes longer to start up. try to manually open that url and see if the service is up and running.

if so, might just increase the maxTries 20 to higher number. check line 492 in the deploy.sh.


waitForGraphragBackend () {
    local backendSwaggerUrl=$1
    local -i maxTries=20
    local available="false"
    printf "Checking for GraphRAG API availability..."
    for ((i=0;i < $maxTries; i++)); do
        az rest --method get --url $backendSwaggerUrl > /dev/null 2>&1
        if [ $? -eq 0 ]; then
            available="true"
            break
        fi
        sleep 20
        printf "."
    done
    if [ $available == "true" ]; then
        printf " Available.
"
    else
        printf " Failed.
"
        exitIfValueEmpty "" "GraphRAG API unavailable, exiting..."
    fi
}

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Deploying graphrag-accelerator

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