autoauth-solution-accelerator/Makefile at main · Azure-Samples/autoauth-solution-accelerator · GitHub

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PYTHON_INTERPRETER = python
CONDA_ENV ?= pa-ai-env
export PYTHONPATH=$(PWD):$PYTHONPATH;

# Target for setting up pre-commit and pre-push hooks
set_up_precommit_and_prepush:
	pre-commit install -t pre-commit
	pre-commit install -t pre-push

# The 'check_code_quality' command runs a series of checks to ensure the quality of your code.
check_code_quality:
	# Running 'ruff' to automatically fix common Python code quality issues.
	@pre-commit run ruff --all-files

	# Running 'black' to ensure consistent code formatting.
	@pre-commit run black --all-files

	# Running 'isort' to sort and organize your imports.
	@pre-commit run isort --all-files

	# # Running 'flake8' for linting.
	@pre-commit run flake8 --all-files

	# Running 'mypy' for static type checking.
	@pre-commit run mypy --all-files

	# Running 'check-yaml' to validate YAML files.
	@pre-commit run check-yaml --all-files

	# Running 'end-of-file-fixer' to ensure files end with a newline.
	@pre-commit run end-of-file-fixer --all-files

	# Running 'trailing-whitespace' to remove unnecessary whitespaces.
	@pre-commit run trailing-whitespace --all-files

	# Running 'interrogate' to check docstring coverage in your Python code.
	@pre-commit run interrogate --all-files

	# Running 'bandit' to identify common security issues in your Python code.
	bandit -c pyproject.toml -r .

fix_code_quality:
	# Automatic fixes for code quality (not doing in production only dev cycles)
	black .
	isort .
	ruff --fix .

# Targets for running tests
run_unit_tests:
	$(PYTHON_INTERPRETER) -m pytest --cov=my_module --cov-report=term-missing --cov-config=.coveragerc

check_and_fix_code_quality: fix_code_quality check_code_quality
check_and_fix_test_quality: run_unit_tests

# Colored text
RED = \033[0;31m
NC = \033[0m # No Color
GREEN = \033[0;32m

# Helper function to print section titles
define log_section
	@printf "\n${GREEN}--> $(1)${NC}\n\n"
endef

create_conda_env:
	@echo "Creating conda environment"
	conda env create -f environment.yaml

activate_conda_env:
	@echo "Creating conda environment"
	conda activate $(CONDA_ENV)

remove_conda_env:
	@echo "Removing conda environment"
	conda env remove --name $(CONDA_ENV)

# Target to run the Streamlit app locally
run_streamlit:
	streamlit run app/frontend/streamlit/Home.py

streamlite_conf:
	streamlit config show

run_frontend_app:
	$(PYTHON_INTERPRETER) app/frontend/streamlit/Home.py

run_backend_paprocessing_api:
	$(PYTHON_INTERPRETER) app/backend/paprocessing/app.py

run_agentic_rag_evals:
	$(PYTHON_INTERPRETER) src/pipeline/agenticRag/evals.py

run_clinicalExtractor_evals:
	$(PYTHON_INTERPRETER) src/pipeline/clinicalExtractor/evals.py

run_pylint:
	@echo "Running linter"
	find . -type f -name "*.py" ! -path "./tests/*" | xargs pylint -disable=logging-fstring-interpolation > utils/pylint_report/pylint_report.txt


## Deployment App

# Use .ONESHELL to run all commands in a single shell instance
.ONESHELL:

.PHONY: all
all: build run


.PHONY: build
# Build the Docker image for the app using Azure Container Registry
build:
	@bash devops/container/benchmarking_app/deployapp.sh build_and_push_container


.PHONY: run
# Run the Docker container locally, mapping port 8501
run:
	docker run -p 8501:8501 my_streamlit_app

.PHONY: login-acr

login-acr:
	@echo "Logging in to Azure..."
	az login
	@echo "Logging in to Azure Container Registry..."
	az acr login --name containerregistrygbbai


# Target to create a container app in Azure, depending on setup-env to load .env variables
create-container-app: setup-env
	az containerapp create -n doc-indexer -g $$(AZURE_RESOURCE_GROUP) --environment $$(AZURE_CONTAINER_ENVIRONMENT_NAME) \
	--image $$(CONTAINER_REGISTRY_NAME).azurecr.io/$$(IMAGENAME):$$(IMAGETAG) \
	--cpu $$(CPUs) --memory $$(RAM) \
	--env-vars "AZURE_OPENAI_KEY=$$(AZURE_OPENAI_KEY)" \
		"AZURE_AOAI_CHAT_MODEL_NAME_DEPLOYMENT_ID=$$(AZURE_AOAI_CHAT_MODEL_NAME_DEPLOYMENT_ID)" \
		"AZURE_OPENAI_API_VERSION=$$(AZURE_OPENAI_API_VERSION)" \
		"AZURE_OPENAI_API_ENDPOINT=$$(AZURE_OPENAI_API_ENDPOINT)" \
	--registry-server $$(CONTAINER_REGISTRY_NAME).azurecr.io \
	--registry-identity system \
	--system-assigned \
	--min-replicas $$(MIN_REPLICAS) --max-replicas $(MAX_REPLICAS) \
	--scale-rule-http-concurrency $$(SCALE_CONCURRENCY) \
	--ingress external \
	--target-port $$(PORT); \
	az role assignment create --role "Contributor" --assignee `az containerapp show -n doc-indexer -g $$(AZURE_RESOURCE_GROUP) -o tsv --query identity.principalId` --resource-group $$(AZURE_RESOURCE_GROUP); \
	az role assignment create --role "Storage Blob Data Contributor" --assignee `az containerapp show -n doc-indexer -g $$(AZURE_RESOURCE_GROUP) -o tsv --query identity.principalId` --resource-group $$(AZURE_RESOURCE_GROUP)