From 2cf6bb72affd566cd6147bcae6254e421ee03069 Mon Sep 17 00:00:00 2001 From: Valentin Yanakiev Date: Thu, 12 Oct 2023 17:23:30 +0300 Subject: [PATCH 1/3] Refreshed github actions --- .../workflows/build-deploy-k8s-dev-azure.yml | 17 ++++++++--------- .../build-deploy-k8s-sandbox-azure.yml | 17 ++++++++--------- .../workflows/build-deploy-k8s-test-azure.yml | 17 ++++++++--------- .github/workflows/build-release-docker-hub.yml | 6 +++--- 4 files changed, 27 insertions(+), 30 deletions(-) diff --git a/.github/workflows/build-deploy-k8s-dev-azure.yml b/.github/workflows/build-deploy-k8s-dev-azure.yml index 7b27ee5..028d895 100644 --- a/.github/workflows/build-deploy-k8s-dev-azure.yml +++ b/.github/workflows/build-deploy-k8s-dev-azure.yml @@ -9,10 +9,10 @@ jobs: runs-on: ubuntu-latest steps: - name: "Checkout GitHub Action" - uses: actions/checkout@master + uses: actions/checkout@v3.0.2 - name: "Login into ACR" - uses: azure/docker-login@v1 + uses: azure/docker-login@v1.0.1 with: login-server: ${{ secrets.REGISTRY_LOGIN_SERVER }} username: ${{ secrets.REGISTRY_USERNAME }} @@ -27,32 +27,31 @@ jobs: runs-on: ubuntu-latest steps: - name: "Checkout GitHub Action" - uses: actions/checkout@master + uses: actions/checkout@v3.0.2 - name: "Login via Azure CLI" - uses: azure/login@v1 + uses: azure/login@v1.4.7 with: creds: ${{ secrets.AZURE_CRED_K8S_NEW }} - - uses: Azure/aks-set-context@v1 + - uses: Azure/aks-set-context@v3.2 with: - creds: ${{ secrets.AZURE_CRED_K8S_NEW }} cluster-name: ${{ secrets.CLUSTER_NAME }} resource-group: ${{ secrets.RESOURCE_GROUP_K8S }} - - uses: Azure/k8s-create-secret@v1 + - uses: Azure/k8s-create-secret@v4.0 with: container-registry-url: ${{ secrets.REGISTRY_LOGIN_SERVER }} container-registry-username: ${{ secrets.REGISTRY_USERNAME }} container-registry-password: ${{ secrets.REGISTRY_PASSWORD }} secret-name: alkemio-guidance-engine-secret - - uses: azure/setup-kubectl@v3 + - uses: azure/setup-kubectl@v3.2 with: version: "v1.22.0" # default is latest stable, fixing it to a compatible version id: install - - uses: Azure/k8s-deploy@v1 + - uses: Azure/k8s-deploy@v4.10 with: manifests: | manifests/25-genai-deployment-dev.yaml diff --git a/.github/workflows/build-deploy-k8s-sandbox-azure.yml b/.github/workflows/build-deploy-k8s-sandbox-azure.yml index fc1adb6..674f3ff 100644 --- a/.github/workflows/build-deploy-k8s-sandbox-azure.yml +++ b/.github/workflows/build-deploy-k8s-sandbox-azure.yml @@ -8,10 +8,10 @@ jobs: runs-on: ubuntu-latest steps: - name: "Checkout GitHub Action" - uses: actions/checkout@master + uses: actions/checkout@v3.0.2 - name: "Login into ACR" - uses: azure/docker-login@v1 + uses: azure/docker-login@v1.0.1 with: login-server: ${{ secrets.REGISTRY_LOGIN_SERVER }} username: ${{ secrets.REGISTRY_USERNAME }} @@ -25,32 +25,31 @@ jobs: runs-on: ubuntu-latest steps: - name: "Checkout GitHub Action" - uses: actions/checkout@master + uses: actions/checkout@v3.0.2 - name: "Login via Azure CLI" - uses: azure/login@v1 + uses: azure/login@v1.4.7 with: creds: ${{ secrets.AZURE_CRED_K8S_NEW }} - - uses: Azure/aks-set-context@v1 + - uses: Azure/aks-set-context@v3.2 with: - creds: ${{ secrets.AZURE_CRED_K8S_NEW }} cluster-name: k8s-sandbox resource-group: res-grp-k8s-sandbox - - uses: Azure/k8s-create-secret@v1 + - uses: Azure/k8s-create-secret@v4.0 with: container-registry-url: ${{ secrets.REGISTRY_LOGIN_SERVER }} container-registry-username: ${{ secrets.REGISTRY_USERNAME }} container-registry-password: ${{ secrets.REGISTRY_PASSWORD }} secret-name: alkemio-guidance-engine-secret - - uses: azure/setup-kubectl@v3 + - uses: azure/setup-kubectl@v3.2 with: version: "v1.22.0" # default is latest stable, fixing it to a compatible version id: install - - uses: Azure/k8s-deploy@v1 + - uses: Azure/k8s-deploy@v4.10 with: manifests: | manifests/25-genai-deployment-dev.yaml diff --git a/.github/workflows/build-deploy-k8s-test-azure.yml b/.github/workflows/build-deploy-k8s-test-azure.yml index a066e30..93d7d84 100644 --- a/.github/workflows/build-deploy-k8s-test-azure.yml +++ b/.github/workflows/build-deploy-k8s-test-azure.yml @@ -8,10 +8,10 @@ jobs: runs-on: ubuntu-latest steps: - name: "Checkout GitHub Action" - uses: actions/checkout@master + uses: actions/checkout@v3.0.2 - name: "Login into ACR" - uses: azure/docker-login@v1 + uses: azure/docker-login@v1.0.1 with: login-server: ${{ secrets.REGISTRY_LOGIN_SERVER }} username: ${{ secrets.REGISTRY_USERNAME }} @@ -26,32 +26,31 @@ jobs: runs-on: ubuntu-latest steps: - name: "Checkout GitHub Action" - uses: actions/checkout@master + uses: actions/checkout@v3.0.2 - name: "Login via Azure CLI" - uses: azure/login@v1 + uses: azure/login@v1.4.7 with: creds: ${{ secrets.AZURE_CRED_K8S_NEW }} - - uses: Azure/aks-set-context@v1 + - uses: Azure/aks-set-context@v3.2 with: - creds: ${{ secrets.AZURE_CRED_K8S_NEW }} cluster-name: k8s-test resource-group: res-grp-k8s-test - - uses: Azure/k8s-create-secret@v1 + - uses: Azure/k8s-create-secret@v4.0 with: container-registry-url: ${{ secrets.REGISTRY_LOGIN_SERVER }} container-registry-username: ${{ secrets.REGISTRY_USERNAME }} container-registry-password: ${{ secrets.REGISTRY_PASSWORD }} secret-name: alkemio-guidance-engine-secret - - uses: azure/setup-kubectl@v3 + - uses: azure/setup-kubectl@v3.2 with: version: "v1.22.0" # default is latest stable, fixing it to a compatible version id: install - - uses: Azure/k8s-deploy@v1 + - uses: Azure/k8s-deploy@v4.10 with: manifests: | manifests/25-genai-deployment-dev.yaml diff --git a/.github/workflows/build-release-docker-hub.yml b/.github/workflows/build-release-docker-hub.yml index abf564b..8e7429a 100644 --- a/.github/workflows/build-release-docker-hub.yml +++ b/.github/workflows/build-release-docker-hub.yml @@ -35,9 +35,9 @@ jobs: elif [ "${{ github.event_name }}" = "push" ]; then TAGS="$TAGS,${DOCKER_IMAGE}:sha-${GITHUB_SHA::8}" fi - echo ::set-output name=version::${VERSION} - echo ::set-output name=tags::${TAGS} - echo ::set-output name=created::$(date -u +'%Y-%m-%dT%H:%M:%SZ') + echo "version=${VERSION}" >> $GITHUB_OUTPUT + echo "tags=${TAGS}" >> $GITHUB_OUTPUT + echo "created={$(date -u +'%Y-%m-%dT%H:%M:%SZ')}" >> $GITHUB_OUTPUT - name: Set up QEMU uses: docker/setup-qemu-action@v1 - name: Set up Docker Buildx From f77963d7d0d5234c871a08f97d47d63735e3a5a5 Mon Sep 17 00:00:00 2001 From: Valentin Yanakiev Date: Thu, 12 Oct 2023 17:39:16 +0300 Subject: [PATCH 2/3] fixed action versions of release build (#30) --- .github/workflows/build-release-docker-hub.yml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/.github/workflows/build-release-docker-hub.yml b/.github/workflows/build-release-docker-hub.yml index 8e7429a..e977ebc 100644 --- a/.github/workflows/build-release-docker-hub.yml +++ b/.github/workflows/build-release-docker-hub.yml @@ -9,7 +9,7 @@ jobs: runs-on: ubuntu-latest steps: - name: Checkout - uses: actions/checkout@v2 + uses: actions/checkout@v3.0.2 - name: Prepare id: prep run: | @@ -39,9 +39,9 @@ jobs: echo "tags=${TAGS}" >> $GITHUB_OUTPUT echo "created={$(date -u +'%Y-%m-%dT%H:%M:%SZ')}" >> $GITHUB_OUTPUT - name: Set up QEMU - uses: docker/setup-qemu-action@v1 + uses: docker/setup-qemu-action@v3.0.0 - name: Set up Docker Buildx - uses: docker/setup-buildx-action@v1 + uses: docker/setup-buildx-action@v3.0.0 - name: Login to DockerHub if: github.event_name != 'pull_request' uses: docker/login-action@v1 @@ -50,7 +50,7 @@ jobs: password: ${{ secrets.DOCKERHUB_TOKEN }} - name: Build and push id: docker_build - uses: docker/build-push-action@v2 + uses: docker/build-push-action@v5.0.0 with: context: . file: ./Dockerfile From 8a301cca39ce8c57ce57b105f588ece563d56b2b Mon Sep 17 00:00:00 2001 From: Rene Honig <5851246+renehonig@users.noreply.github.com> Date: Tue, 12 Dec 2023 10:29:00 +0100 Subject: [PATCH 3/3] add 2nd website (#32) * add 2nd website * updated for latest env vars; typo * Poetry update * bump dependencies * update README --------- Co-authored-by: Neil Smyth Co-authored-by: Valentin Yanakiev --- .azure-template.env | 18 +- .gitignore | 1 + .openai-template.env | 15 - Dockerfile | 4 +- README.md | 34 +- ai_utils.py | 25 +- app.py | 9 +- config.py | 11 + def_ingest.py | 29 +- docker-compose.yaml | 4 +- poetry.lock | 1619 ++++++++++++++++++++++-------------------- pyproject.toml | 11 +- 12 files changed, 945 insertions(+), 835 deletions(-) delete mode 100644 .openai-template.env diff --git a/.azure-template.env b/.azure-template.env index 3ae6f51..ec3f9bc 100644 --- a/.azure-template.env +++ b/.azure-template.env @@ -1,18 +1,20 @@ -OPENAI_API_TYPE=azure -OPENAI_API_BASE=https://alkemio-gpt.openai.azure.com/ -OPENAI_API_KEY=azure-openai-key OPENAI_API_VERSION=2023-05-15 +AZURE_OPENAI_ENDPOINT=https://alkemio-gpt.openai.azure.com +AZURE_OPENAI_API_KEY=azure-openai-key +LLM_DEPLOYMENT_NAME=deploy-gpt-35-turbo +EMBEDDINGS_DEPLOYMENT_NAME=embedding RABBITMQ_HOST=localhost RABBITMQ_USER=admin RABBITMQ_PASSWORD=super-secure-pass AI_MODEL_TEMPERATURE=0.3 -AI_MODEL_NAME=gpt-35-turbo -AI_DEPLOYMENT_NAME=deploy-gpt-35-turbo -AI_EMBEDDINGS_DEPLOYMENT_NAME=embedding AI_SOURCE_WEBSITE=https://www.alkemio.org +AI_SOURCE_WEBSITE2=https://welcome.alkem.io AI_LOCAL_PATH=~/alkemio/data -AI_WEBSITE_REPO=https://github.com/alkem-io/website.git +AI_WEBSITE_REPO=github.com/alkem-io/website.git +AI_WEBSITE_REPO2=github.com/alkem-io/welcome-site.git +AI_GITHUB_USER=github-user-for-website-cloning +AI_GITHUB_PAT=github-user-for-website-cloning LANGCHAIN_TRACING_V2=true LANGCHAIN_ENDPOINT="https://api.smith.langchain.com" LANGCHAIN_API_KEY="langsmith-api-key" -LANGCHAIN_PROJECT="guidance-engine" \ No newline at end of file +LANGCHAIN_PROJECT="guidance-engine" diff --git a/.gitignore b/.gitignore index de198b6..e98bf49 100644 --- a/.gitignore +++ b/.gitignore @@ -5,3 +5,4 @@ azure.env /__pycache__/* /vectordb/* local.env +docker-compose-local.yaml diff --git a/.openai-template.env b/.openai-template.env deleted file mode 100644 index 4e34be8..0000000 --- a/.openai-template.env +++ /dev/null @@ -1,15 +0,0 @@ -OPENAI_API_KEY=api-key -AI_SOURCE_WEBSITE=https://www.alkemio.org -AI_LOCAL_PATH=~/alkemio/data -RABBITMQ_HOST=localhost -RABBITMQ_USER=admin -RABBITMQ_PASSWORD=super-secure-pass -AI_MODEL_TEMPERATURE=0.3 -AI_MODEL_NAME=gpt-35-turbo -AI_SOURCE_WEBSITE=https://www.alkemio.org -AI_LOCAL_PATH=~/alkemio/data -AI_WEBSITE_REPO=https://github.com/alkem-io/website.git -LANGCHAIN_TRACING_V2=true -LANGCHAIN_ENDPOINT="https://api.smith.langchain.com" -LANGCHAIN_API_KEY="langsmith-api-key" -LANGCHAIN_PROJECT="guidance-engine" \ No newline at end of file diff --git a/Dockerfile b/Dockerfile index ef23705..725a59a 100644 --- a/Dockerfile +++ b/Dockerfile @@ -4,8 +4,8 @@ FROM python:3.11-slim-bookworm # Set the working directory in the container to /app WORKDIR /app -ARG GO_VERSION=1.21.1 -ARG HUGO_VERSION=0.118.2 +ARG GO_VERSION=1.21.5 +ARG HUGO_VERSION=0.121.1 ARG ARCHITECTURE=amd64 # install git, go and hugo diff --git a/README.md b/README.md index fb53150..972da29 100644 --- a/README.md +++ b/README.md @@ -60,8 +60,8 @@ There is a draft implementation for the interaction language of the model (this ### Docker The following command can be used to build the container from the Docker CLI (default architecture is amd64, so `--build-arg ARCHITECTURE=arm64` for amd64 builds): -`docker build --build-arg ARCHITECTURE=arm64 --no-cache -t alkemio/guidance-engine:v0.2.0 .` -`docker build--no-cache -t alkemio/guidance-engine:v0.2.0 .` +`docker build --build-arg ARCHITECTURE=arm64 --no-cache -t alkemio/guidance-engine:v0.4.0 .` +`docker build --no-cache -t alkemio/guidance-engine:v0.2.0 .` The Dockerfile has some self-explanatory configuration arguments. The following command can be used to start the container from the Docker CLI: @@ -70,22 +70,28 @@ where `.env` based on `.azure-template.env` Alternatively use `docker-compose up -d`. with: -- `OPENAI_API_KEY`: a valid OpenAI API key -- `OPENAI_API_TYPE`: a valid OpenAI API type. For Azure, the value is `azure` +- `AZURE_OPENAI_API_KEY`: a valid OpenAI API key - `OPENAI_API_VERSION`: a valid Azure OpenAI version. At the moment of writing, latest is `2023-05-15` -- `OPENAI_API_BASE`: a valid Azure OpenAI base URL, e.g. `https://{your-azure-resource-name}.openai.azure.com/` +- `AZURE_OPENAI_ENDPOINT`: a valid Azure OpenAI base URL, e.g. `https://{your-azure-resource-name}.openai.azure.com/` - `RABBITMQ_HOST`: the RabbitMQ host name - `RABBITMQ_USER`: the RabbitMQ user - `RABBITMQ_PASSWORD`: the RabbitMQ password - `AI_MODEL_TEMPERATURE`: the `temperature` of the model, use value between 0 and 1. 1 means more randomized answer, closer to 0 - a stricter one -- `AI_MODEL_NAME`: the model name in Azure -- `AI_DEPLOYMENT_NAME`: the AI gpt model deployment name in Azure -- `AI_EMBEDDINGS_DEPLOYMENT_NAME`: the AI embeddings model deployment name in Azure -- `AI_SOURCE_WEBSITE`: the URL of the website that contains the source data (for references only) +- `LLM_DEPLOYMENT_NAME`: the AI gpt model deployment name in Azure +- `EMBEDDINGS_DEPLOYMENT_NAME`: the AI embeddings model deployment name in Azure +- `AI_SOURCE_WEBSITE`: the URL of the foundation website that contains the source data (for references only) +- `AI_SOURCE_WEBSITE2`: the URL of the welcome website that contains the source data (for references only) - `AI_LOCAL_PATH`: local file path for storing data -- `AI_WEBSITE_REPO`: url of the Git repository containing the website source data, based on Hugo +- `AI_WEBSITE_REPO`: url of the Git repository containing the foundation website source data, based on Hugo - without https +- `AI_WEBSITE_REPO2`: url of the Git repository containing the welcome website source data, based on Hugo - without https +- `AI_GITHUB_USER` : Github user used for cloning website repos +- `AI_GITHUB_PAT` : Personal access token for cloning website repos +- `LANGCHAIN_TRACING_V2` : enable Langchain tracing +- `LANGCHAIN_ENDPOINT` : Langchain tracing endpoint (e.g. "https://api.smith.langchain.com") +- `LANGCHAIN_API_KEY` : Langchain tracing API key +- `LANGCHAIN_PROJECT` : Langchain tracing project name (e.g. "guidance-engine") -You can find sample values in `.azure-template.env` and `.openai-template.env`. Configure them and create `.env` file with the updated settings. +You can find sample values in `.azure-template.env`. Configure them and create `.env` file with the updated settings. ### Python & Poetry The project requires Python & Poetry installed. The minimum version dependencies can be found at `pyproject.toml`. @@ -102,9 +108,7 @@ The following tasks are still outstanding: - assess overall quality and performance of the model and make improvements as and when required. - assess the need to summarize the chat history to avoid exceeding the prompt token limit. - update the yaml manifest. -- add error handling. - perform extensive testing, in particular in multi-user scenarios. -- look at improvements of the ingestion. As a minimum the service engine should not consume queries whilst the ingestion is ongoing, as thatwill lead to errors. -- look at the use of `temperature` for the `QARetrievalChain`. It is not so obvious how this is handled. +- look at improvements of the ingestion. As a minimum the service engine should not consume queries whilst the ingestion is ongoing, as that will lead to errors. - look at the possibility to implement reinforcement learning. -- return the actual LLM costs and token usage for queries. + diff --git a/ai_utils.py b/ai_utils.py index 75e6567..32ce009 100644 --- a/ai_utils.py +++ b/ai_utils.py @@ -1,4 +1,4 @@ -from langchain.embeddings import OpenAIEmbeddings +from langchain.embeddings import AzureOpenAIEmbeddings from langchain.vectorstores import FAISS from langchain.llms import AzureOpenAI from langchain.prompts import PromptTemplate @@ -8,7 +8,7 @@ from langchain.chains.conversational_retrieval.prompts import QA_PROMPT import logging import def_ingest -from config import config, website_source_path, website_generated_path, vectordb_path, local_path, generate_website, LOG_LEVEL +from config import config, website_source_path, website_generated_path, website_source_path2, website_generated_path2, vectordb_path, local_path, generate_website, LOG_LEVEL import os @@ -17,7 +17,7 @@ # Create handlers c_handler = logging.StreamHandler() -f_handler = logging.FileHandler(local_path+'/app.log') +f_handler = logging.FileHandler(os.path.join(os.path.expanduser(local_path),'app.log')) c_handler.setLevel(level=getattr(logging, LOG_LEVEL)) f_handler.setLevel(logging.ERROR) @@ -118,12 +118,18 @@ def get_language_by_code(language_code): template=chat_template, input_variables=["question", "context", "chat_history"] ) -generic_llm = AzureOpenAI(deployment_name=os.environ["AI_DEPLOYMENT_NAME"], model_name=os.environ["AI_MODEL_NAME"], + +generic_llm = AzureOpenAI(azure_deployment=os.environ["LLM_DEPLOYMENT_NAME"], temperature=0, verbose=verbose_models) question_generator = LLMChain(llm=generic_llm, prompt=custom_question_prompt, verbose=verbose_models) -embeddings = OpenAIEmbeddings(deployment=os.environ["AI_EMBEDDINGS_DEPLOYMENT_NAME"], chunk_size=1) + +embeddings = AzureOpenAIEmbeddings( + azure_deployment=config['embeddings_deployment_name'], + openai_api_version=config['openai_api_version'], + chunk_size=1 +) # Check if the vector database exists if os.path.exists(vectordb_path+"/index.pkl"): @@ -132,19 +138,20 @@ def get_language_by_code(language_code): # ingest data if generate_website: def_ingest.clone_and_generate(config['website_repo'], website_generated_path, website_source_path) - def_ingest.mainapp(config['source_website']) + def_ingest.clone_and_generate(config['website_repo2'], website_generated_path2, website_source_path2) + def_ingest.mainapp(config['source_website'], config['source_website2']) vectorstore = FAISS.load_local(vectordb_path, embeddings) retriever = vectorstore.as_retriever() -chat_llm = AzureChatOpenAI(deployment_name=os.environ["AI_DEPLOYMENT_NAME"], - model_name=os.environ["AI_MODEL_NAME"], temperature=os.environ["AI_MODEL_TEMPERATURE"], +chat_llm = AzureChatOpenAI(azure_deployment=os.environ["LLM_DEPLOYMENT_NAME"], + temperature=os.environ["AI_MODEL_TEMPERATURE"], max_tokens=max_token_limit) doc_chain = load_qa_chain(generic_llm, chain_type="stuff", prompt=QA_PROMPT, verbose=verbose_models) def translate_answer(answer, language): - translate_llm = AzureChatOpenAI(deployment_name=os.environ["AI_DEPLOYMENT_NAME"], model_name=os.environ["AI_MODEL_NAME"], + translate_llm = AzureChatOpenAI(azure_deployment=os.environ["LLM_DEPLOYMENT_NAME"], temperature=0, verbose=verbose_models) prompt = translation_prompt.format(answer=answer, language=language) return translate_llm(prompt) diff --git a/app.py b/app.py index 5b5a6a5..039512d 100644 --- a/app.py +++ b/app.py @@ -4,7 +4,7 @@ import ai_utils import logging import def_ingest -from config import config, website_source_path, website_generated_path, vectordb_path, generate_website, local_path, LOG_LEVEL +from config import config, website_source_path, website_generated_path, website_source_path2, website_generated_path2, vectordb_path, generate_website, local_path, LOG_LEVEL # configure logging logger = logging.getLogger(__name__) @@ -95,9 +95,10 @@ def reset(user_id): } return "Reset function executed" -def ingest(source_url, website_repo, destination_path, source_path): +def ingest(source_url, website_repo, destination_path, source_path, source_url2, website_repo2, destination_path2, source_path2): def_ingest.clone_and_generate(website_repo, destination_path, source_path) - def_ingest.mainapp(source_url) + def_ingest.clone_and_generate(website_repo2, destination_path2, source_path2) + def_ingest.mainapp(source_url, source_url2) return "Ingest function executed" @@ -108,7 +109,7 @@ def on_request(ch, method, props, body): operation = message['pattern']['cmd'] if operation == 'ingest': - response = ingest(config['source_website'], config['website_repo'], website_generated_path, website_source_path) + response = ingest(config['source_website'], config['website_repo'], website_generated_path, website_source_path, config['source_website2'], config['website_repo2'], website_generated_path2, website_source_path2) else: if user_id is None: response = "userId not provided" diff --git a/config.py b/config.py index c405933..4993c89 100644 --- a/config.py +++ b/config.py @@ -3,18 +3,29 @@ load_dotenv() config = { + "llm_deployment_name": os.getenv('LLM_DEPLOYMENT_NAME'), + "embeddings_deployment_name": os.getenv('EMBEDDINGS_DEPLOYMENT_NAME'), + "openai_api_version": os.getenv('OPENAI_API_VERSION'), "rabbitmq_host": os.getenv('RABBITMQ_HOST'), "rabbitmq_user": os.getenv('RABBITMQ_USER'), "rabbitmq_password": os.getenv('RABBITMQ_PASSWORD'), "rabbitmqrequestqueue": "alkemio-chat-guidance", "source_website": os.getenv('AI_SOURCE_WEBSITE'), "website_repo": os.getenv('AI_WEBSITE_REPO'), + "source_website2": os.getenv('AI_SOURCE_WEBSITE2'), + "website_repo2": os.getenv('AI_WEBSITE_REPO2'), + "github_user": os.getenv('AI_GITHUB_USER'), + "github_pat": os.getenv('AI_GITHUB_PAT'), "local_path": os.getenv('AI_LOCAL_PATH') } local_path = config['local_path'] +github_user = config['github_user'] +github_pat = config['github_pat'] website_source_path = local_path + '/website/source' +website_source_path2 = local_path + '/website2/source' website_generated_path = local_path + '/website/generated' +website_generated_path2 = local_path + '/website2/generated' vectordb_path = local_path + "/vectordb" generate_website = True diff --git a/def_ingest.py b/def_ingest.py index 045bafa..793245c 100644 --- a/def_ingest.py +++ b/def_ingest.py @@ -1,6 +1,6 @@ import os import logging -from langchain.embeddings import OpenAIEmbeddings +from langchain.embeddings import AzureOpenAIEmbeddings from langchain.text_splitter import RecursiveCharacterTextSplitter from langchain.vectorstores import FAISS import xml.etree.ElementTree as ET @@ -12,14 +12,14 @@ import shutil import subprocess import xml.etree.ElementTree as ET -from config import local_path, website_generated_path, vectordb_path, LOG_LEVEL +from config import config, local_path, website_generated_path, website_generated_path2, vectordb_path, website_source_path, website_source_path2, github_user, github_pat, github_pat, LOG_LEVEL # configure logging logger = logging.getLogger(__name__) # Create handlers c_handler = logging.StreamHandler() -f_handler = logging.FileHandler(local_path+'/app.log') +f_handler = logging.FileHandler(os.path.join(os.path.expanduser(local_path),'app.log')) c_handler.setLevel(level=getattr(logging, LOG_LEVEL)) f_handler.setLevel(logging.ERROR) @@ -64,18 +64,23 @@ def extract_urls_from_sitemap(base_directory): def embed_text(texts, save_loc): - embeddings = OpenAIEmbeddings(deployment=os.environ["AI_EMBEDDINGS_DEPLOYMENT_NAME"], chunk_size=1) + embeddings = AzureOpenAIEmbeddings( + azure_deployment=config['embeddings_deployment_name'], + openai_api_version=config['openai_api_version'], + chunk_size=1 +) docsearch = FAISS.from_documents(texts, embeddings) docsearch.save_local(save_loc) -def read_and_parse_html(local_source_path, source_website_url): +def read_and_parse_html(local_source_path, source_website_url, website_generated_path): """ Purpose: read the target files from disk, transform html to readable text, remove sequnetial CR and space sequences, fix the document source address and split into chunks. Args: local_source_path: path to directory containing local html files source_website_url: base url of source website + website_generated_path: path to directory containing generated html files Returns: list of parses and split doucments """ # Transform @@ -101,7 +106,7 @@ def read_and_parse_html(local_source_path, source_website_url): #body_text.page_content = re.sub(r'(\n ){2,}', '\n', re.sub(r'\n+', '\n', re.sub(r' +', ' ', body_text.page_content))) # remove the local directory from the source object - body_text.metadata['source'] = body_text.metadata['source'].replace(local_source_path, source_website_url) + body_text.metadata['source'] = body_text.metadata['source'].replace(website_generated_path, source_website_url) data.append(body_text) @@ -137,7 +142,7 @@ def clone_and_generate(website_repo, destination_path, source_path): logger.info(f"git switch result: {result_switch.stdout}") else: # Repository doesn't exist, perform a git clone - clone_command = ['git', 'clone', website_repo, source_path] + clone_command = ['git', 'clone', "https://" + github_user + ":" + github_pat + "@" + website_repo, source_path] result_clone = subprocess.run(clone_command, capture_output=True, text=True) logger.info(f"git clone result: {result_clone.stdout}") result_switch = subprocess.run(git_switch_command, cwd=source_path, capture_output=True, text=True) @@ -155,10 +160,10 @@ def clone_and_generate(website_repo, destination_path, source_path): logger.error(f"hugo result: {result_hugo.stdout}") -def mainapp(source_website_url) -> None: +def mainapp(source_website_url, source_website_url2) -> None: """ Purpose: - ingest the trnaformed website contents into a vector database in presized chunks. + ingest the transformed website contents into a vector database in presized chunks. Args: source_website_url: full url of source website, used to return the proper link for the source documents. Returns: @@ -169,7 +174,9 @@ def mainapp(source_website_url) -> None: f = open(local_path+"/ingestion_output.txt", "w") # read and parse the files - texts = read_and_parse_html(website_generated_path, source_website_url) + # local_source_path, source_website_url, website_generated_path + texts = read_and_parse_html(website_source_path, source_website_url, website_generated_path) + texts += read_and_parse_html(website_source_path2, source_website_url2, website_generated_path2) # Save embeddings to vectordb embed_text(texts, vectordb_path) @@ -180,4 +187,4 @@ def mainapp(source_website_url) -> None: # only execute if this is the main program run (so not imported) if __name__ == "__main__": - mainapp(os.getenv('AI_SOURCE_WEBSITE')) + mainapp(os.getenv('AI_SOURCE_WEBSITE'),os.getenv('AI_SOURCE_WEBSITE2')) diff --git a/docker-compose.yaml b/docker-compose.yaml index 49e3018..8ffdbc0 100644 --- a/docker-compose.yaml +++ b/docker-compose.yaml @@ -8,10 +8,10 @@ services: container_name: guidance-engine volumes: - '/dev/shm:/dev/shm' - - ~/alkemio/data:/home/alkemio/data + - '~/alkemio/data:/home/alkemio/data' env_file: - .env - image: alkemio/guidance-engine:v0.2.0 + image: alkemio/guidance-engine:v0.4.0 depends_on: rabbitmq: condition: "service_healthy" diff --git a/poetry.lock b/poetry.lock index 2dcb17f..e5bb3eb 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,112 +1,99 @@ -# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. +# This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. 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