From 4d51e086848555a53de4a5a54979229dafe75a34 Mon Sep 17 00:00:00 2001 From: Guillaume Chervet Date: Fri, 6 Oct 2023 09:21:38 +0200 Subject: [PATCH] feat(env): create infra automatically (#17) --- .github/workflows/ci.yml | 260 +- .github/workflows/docker.yml | 21 +- .gitignore | 1 + Makefile | 36 +- Pipfile | 15 - Pipfile.lock | 1108 ------ README.md | 14 +- documentation/step_1_extraction.md | 2 +- packages/extraction/.gitignore | 3 +- packages/extraction/Pipfile | 14 - .../__init__.py => README.md} | 0 .../mlopspython_extraction}/__init__.py | 0 .../mlopspython_extraction/extraction.py | 0 packages/extraction/poetry.lock | 122 + packages/extraction/pyproject.toml | 18 + packages/extraction/requirements.txt | 3 +- packages/extraction/setup.py | 7 +- .../extraction/{src => }/tests/__init__.py | 0 .../{src => }/tests/extraction_tests.py | 0 .../0a0e5d35-ef01-4239-af60-81f2357a6ab9.pdf | Bin .../0a3ceb8b-43af-43ef-93d7-5adeb78d6df9.pdf | Bin packages/extraction/version.py | 1 - packages/inference/.gitignore | 3 +- packages/inference/Pipfile | 18 - .../{src/tests/__init__.py => README.md} | 0 .../mlopspython_inference}/__init__.py | 0 .../mlopspython_inference/inference_pillow.py | 0 packages/inference/poetry.lock | 1233 +++++++ packages/inference/pyproject.toml | 21 + packages/inference/requirements.txt | 52 +- packages/inference/setup.py | 7 +- .../inference/tests}/__init__.py | 0 .../{src => }/tests/inference_tests.py | 0 .../{src => }/tests/input/images/cat.png | Bin .../tests/input/model/final_model.h5 | Bin packages/inference/version.py | 1 - pip-install.sh | 31 + poetry-install.sh | 52 + production/api/Dockerfile | 2 +- production/api/core/model/.gitignore | 1 + production/api/core/model/inference_cv.py | 2 +- production/api/core/model/inference_pillow.py | 2 +- production/api/poetry.lock | 1466 ++++++++ production/api/pyproject.toml | 27 + production/api/requirements.txt | 70 +- .../integration/azureml_run_pipeline.py | 123 + production/integration/mlcli/.amlignore | 7 + production/integration/mlcli/.dockerignore | 4 + production/integration/mlcli/.gitignore | 2 + .../aml => integration/mlcli}/Dockerfile | 6 +- production/integration/mlcli/README.md | 0 production/integration/mlcli/__init__.py | 1 + production/integration/mlcli/command.py | 18 + production/integration/mlcli/command.yaml | 32 + .../aml => integration/mlcli}/ml-cli.template | 6 +- production/integration/mlcli/mlcli.py | 28 + production/integration/mlcli/poetry.lock | 2674 ++++++++++++++ production/integration/mlcli/pyproject.toml | 19 + production/integration/mlcli/requirements.txt | 104 + production/integration/poetry.lock | 1188 ++++++ production/integration/pyproject.toml | 15 + production/integration/requirements.txt | 54 + .../aml/conda_dependencies.yml | 22 - .../integration_tests/aml/config_aml.json | 5 - .../integration_tests/aml/config_env.json | 41 - production/integration_tests/requirements.txt | 1 - production/integration_tests/train_aml.py | 36 - production/webapp/.dockerignore | 7 - production/webapp/package-lock.json | 48 +- production/webapp/package.json | 2 +- pyproject.toml | 17 +- train/Pipfile | 14 - train/Pipfile.lock | 567 --- train/azureml_run_dumb_pipeline.py | 89 - train/azureml_run_pipeline.py | 64 +- train/azureml_run_test.py | 14 - train/dumb/components.py | 94 - train/dumb/environment.conda.yaml | 11 - train/evaluate/Pipfile | 16 - train/evaluate/Pipfile.lock | 1116 ------ train/evaluate/azureml_step.py | 30 - train/evaluate/environment.conda.yaml | 23 - train/extraction/.amlignore | 8 + train/extraction/.dockerignore | 5 + train/extraction/Dockerfile | 7 + train/extraction/Pipfile | 14 - train/extraction/Pipfile.lock | 123 - train/extraction/README.md | 0 train/extraction/azureml_step.py | 20 - train/extraction/command.py | 15 + train/extraction/command.yaml | 29 + train/extraction/dataset-cats-dogs-others.yml | 1 + train/extraction/environment.conda.yaml | 18 - train/extraction/init_dataset.sh | 19 + train/extraction/poetry.lock | 2679 ++++++++++++++ train/extraction/pyproject.toml | 19 + train/extraction/requirements.txt | 107 + train/label_split_data/.amlignore | 8 + train/label_split_data/.dockerignore | 5 + train/label_split_data/.gitignore | 1 + train/label_split_data/Dockerfile | 5 + train/label_split_data/Pipfile | 14 - train/label_split_data/Pipfile.lock | 114 - train/label_split_data/README.md | 0 train/label_split_data/azureml_step.py | 40 - train/label_split_data/command.py | 35 + train/label_split_data/command.yaml | 32 + .../dataset-cats-dogs-others-labels.yml | 14 + train/label_split_data/environment.conda.yaml | 17 - train/label_split_data/init_dataset.sh | 19 + train/label_split_data/label_split_data.py | 21 +- train/label_split_data/poetry.lock | 2674 ++++++++++++++ train/label_split_data/pyproject.toml | 19 + train/label_split_data/requirements.txt | 104 + .../tests/label_split_data_test.py | 6 +- train/poetry.lock | 1188 ++++++ train/pyproject.toml | 15 + train/test/.amlignore | 7 + train/test/.dockerignore | 1 + train/{evaluate => test}/.gitignore | 0 train/test/Dockerfile | 7 + train/{evaluate => test}/__init__.py | 0 train/test/command.py | 26 + train/test/command.yaml | 34 + train/{evaluate => test}/packages/.gitignore | 0 train/test/poetry.lock | 3222 +++++++++++++++++ train/test/pyproject.toml | 25 + train/test/requirements.txt | 127 + train/{evaluate/evaluate.py => test/test.py} | 20 +- train/{evaluate => test}/tests/__init__.py | 0 .../{evaluate => test}/tests/evaluate_test.py | 0 ...6b-49fd-9857-d047351cd5e9_page3_index0.png | Bin ...b-49fd-9857-d047351cd5e10_page4_index0.png | Bin ...01-4239-af60-81f2357a6ab9_page1_index0.png | Bin .../tests/input/model/final_model.h5 | Bin train/train/.amlignore | 5 + train/train/.dockerignore | 4 + train/train/.idea/.gitignore | 8 - .../inspectionProfiles/Project_Default.xml | 6 - .../inspectionProfiles/profiles_settings.xml | 6 - train/train/.idea/misc.xml | 4 - train/train/.idea/modules.xml | 8 - train/train/.idea/train.iml | 8 - train/train/.idea/vcs.xml | 6 - train/train/Dockerfile | 5 + train/train/Pipfile | 19 - train/train/Pipfile.lock | 1109 ------ train/train/README.md | 0 train/train/azureml_step.py | 29 - train/train/command.py | 29 + train/train/command.yaml | 29 + train/train/environment.conda.yaml | 22 - train/train/poetry.lock | 3201 ++++++++++++++++ train/train/pyproject.toml | 24 + train/train/requirements.txt | 126 + train/train/train.py | 11 +- 156 files changed, 21563 insertions(+), 5071 deletions(-) delete mode 100644 Pipfile delete mode 100644 Pipfile.lock delete mode 100644 packages/extraction/Pipfile rename packages/extraction/{src/mlopspython_extraction/__init__.py => README.md} (100%) rename packages/{inference/src/mlopspython_inference => extraction/mlopspython_extraction}/__init__.py (100%) rename packages/extraction/{src => }/mlopspython_extraction/extraction.py (100%) create mode 100644 packages/extraction/poetry.lock create mode 100644 packages/extraction/pyproject.toml rename packages/extraction/{src => }/tests/__init__.py (100%) rename packages/extraction/{src => }/tests/extraction_tests.py (100%) rename packages/extraction/{src => }/tests/input/0a0e5d35-ef01-4239-af60-81f2357a6ab9.pdf (100%) rename packages/extraction/{src => }/tests/input/0a3ceb8b-43af-43ef-93d7-5adeb78d6df9.pdf (100%) delete mode 100644 packages/extraction/version.py delete mode 100644 packages/inference/Pipfile rename packages/inference/{src/tests/__init__.py => README.md} (100%) rename {production/integration_tests => packages/inference/mlopspython_inference}/__init__.py (100%) rename packages/inference/{src => }/mlopspython_inference/inference_pillow.py (100%) create mode 100644 packages/inference/poetry.lock create mode 100644 packages/inference/pyproject.toml rename {production/integration_tests/aml => packages/inference/tests}/__init__.py (100%) rename packages/inference/{src => }/tests/inference_tests.py (100%) rename packages/inference/{src => }/tests/input/images/cat.png (100%) rename packages/inference/{src => }/tests/input/model/final_model.h5 (100%) delete mode 100644 packages/inference/version.py create mode 100644 pip-install.sh create mode 100644 poetry-install.sh create mode 100644 production/api/poetry.lock create mode 100644 production/api/pyproject.toml create mode 100644 production/integration/azureml_run_pipeline.py create mode 100644 production/integration/mlcli/.amlignore create mode 100644 production/integration/mlcli/.dockerignore create mode 100644 production/integration/mlcli/.gitignore rename production/{integration_tests/aml => integration/mlcli}/Dockerfile (76%) create mode 100644 production/integration/mlcli/README.md create mode 100644 production/integration/mlcli/__init__.py create mode 100644 production/integration/mlcli/command.py create mode 100644 production/integration/mlcli/command.yaml rename production/{integration_tests/aml => integration/mlcli}/ml-cli.template (78%) create mode 100644 production/integration/mlcli/mlcli.py create mode 100644 production/integration/mlcli/poetry.lock create mode 100644 production/integration/mlcli/pyproject.toml create mode 100644 production/integration/mlcli/requirements.txt create mode 100644 production/integration/poetry.lock create mode 100644 production/integration/pyproject.toml create mode 100644 production/integration/requirements.txt delete mode 100644 production/integration_tests/aml/conda_dependencies.yml delete mode 100644 production/integration_tests/aml/config_aml.json delete mode 100644 production/integration_tests/aml/config_env.json delete mode 100644 production/integration_tests/requirements.txt delete mode 100644 production/integration_tests/train_aml.py delete mode 100644 train/Pipfile delete mode 100644 train/Pipfile.lock delete mode 100644 train/azureml_run_dumb_pipeline.py delete mode 100644 train/azureml_run_test.py delete mode 100644 train/dumb/components.py delete mode 100644 train/dumb/environment.conda.yaml delete mode 100644 train/evaluate/Pipfile delete mode 100644 train/evaluate/Pipfile.lock delete mode 100644 train/evaluate/azureml_step.py delete mode 100644 train/evaluate/environment.conda.yaml create mode 100644 train/extraction/.amlignore create mode 100644 train/extraction/.dockerignore create mode 100644 train/extraction/Dockerfile delete mode 100644 train/extraction/Pipfile delete mode 100644 train/extraction/Pipfile.lock create mode 100644 train/extraction/README.md delete mode 100644 train/extraction/azureml_step.py create mode 100644 train/extraction/command.py create mode 100644 train/extraction/command.yaml delete mode 100644 train/extraction/environment.conda.yaml create mode 100644 train/extraction/init_dataset.sh create mode 100644 train/extraction/poetry.lock create mode 100644 train/extraction/pyproject.toml create mode 100644 train/extraction/requirements.txt create mode 100644 train/label_split_data/.amlignore create mode 100644 train/label_split_data/.dockerignore create mode 100644 train/label_split_data/Dockerfile delete mode 100644 train/label_split_data/Pipfile delete mode 100644 train/label_split_data/Pipfile.lock create mode 100644 train/label_split_data/README.md delete mode 100644 train/label_split_data/azureml_step.py create mode 100644 train/label_split_data/command.py create mode 100644 train/label_split_data/command.yaml create mode 100644 train/label_split_data/dataset-cats-dogs-others-labels.yml delete mode 100644 train/label_split_data/environment.conda.yaml create mode 100644 train/label_split_data/init_dataset.sh create mode 100644 train/label_split_data/poetry.lock create mode 100644 train/label_split_data/pyproject.toml create mode 100644 train/label_split_data/requirements.txt create mode 100644 train/poetry.lock create mode 100644 train/pyproject.toml create mode 100644 train/test/.amlignore create mode 100644 train/test/.dockerignore rename train/{evaluate => test}/.gitignore (100%) create mode 100644 train/test/Dockerfile rename train/{evaluate => test}/__init__.py (100%) create mode 100644 train/test/command.py create mode 100644 train/test/command.yaml rename train/{evaluate => test}/packages/.gitignore (100%) create mode 100644 train/test/poetry.lock create mode 100644 train/test/pyproject.toml create mode 100644 train/test/requirements.txt rename train/{evaluate/evaluate.py => test/test.py} (75%) rename train/{evaluate => test}/tests/__init__.py (100%) rename train/{evaluate => test}/tests/evaluate_test.py (100%) rename train/{evaluate => test}/tests/input/images/evaluate/cats/cat_0a2bc279-8a6b-49fd-9857-d047351cd5e9_page3_index0.png (100%) rename train/{evaluate => test}/tests/input/images/evaluate/dogs/dog_0a2bc279-8a6b-49fd-9857-d047351cd5e10_page4_index0.png (100%) rename train/{evaluate => test}/tests/input/images/evaluate/others/other_0a0e5d35-ef01-4239-af60-81f2357a6ab9_page1_index0.png (100%) rename train/{evaluate => test}/tests/input/model/final_model.h5 (100%) create mode 100644 train/train/.amlignore create mode 100644 train/train/.dockerignore delete mode 100644 train/train/.idea/.gitignore delete mode 100644 train/train/.idea/inspectionProfiles/Project_Default.xml delete mode 100644 train/train/.idea/inspectionProfiles/profiles_settings.xml delete mode 100644 train/train/.idea/misc.xml delete mode 100644 train/train/.idea/modules.xml delete mode 100644 train/train/.idea/train.iml delete mode 100644 train/train/.idea/vcs.xml create mode 100644 train/train/Dockerfile delete mode 100644 train/train/Pipfile delete mode 100644 train/train/Pipfile.lock create mode 100644 train/train/README.md delete mode 100644 train/train/azureml_step.py create mode 100644 train/train/command.py create mode 100644 train/train/command.yaml delete mode 100644 train/train/environment.conda.yaml create mode 100644 train/train/poetry.lock create mode 100644 train/train/pyproject.toml create mode 100644 train/train/requirements.txt diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index 1f8a2ad1..af2b5b8d 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -4,6 +4,19 @@ on: branches: [ "main" ] pull_request: branches: [ "main" ] + + +env: + PNPM_VERSION: 8.5.1 + PYTHON_VERSION: 3.10.13 + NODE_VERSION: 18 + AZURE_RESOURCE_GROUP_NAME: "azure-ml-yolo" + AZURE_SUBSCRIPTION_ID: "9d42c9d4-85ab-429d-afb4-4d77f309078c" + AZURE_LOCATION: "northeurope" + AZURE_ML_WORKSPACE_NAME: "cats-dogs-yolo" + AZURE_WEBAPP_NAME: "webapp-cdo" + DOCKER_IMAGE_NAME: "guillaumechervet/mlopspython" + permissions: contents: write jobs: @@ -23,115 +36,95 @@ jobs: - 'production/**' train: - 'train/**' - - name: Set up Python 3.11 - uses: actions/setup-python@v3 - with: - python-version: "3.11.1" - - name: Install PipEnv dependencies - run: | - python -m pip install --upgrade pip - pip install --user pipenv - - name: Format with Black - run: | - pipenv install --dev - pipenv run black train - pipenv run black train --check - - name: Lint with flake8 - run: | - pipenv install --dev - pipenv run flake8 . + # - name: Set up Python 3.11.1 + # uses: actions/setup-python@v3 + # with: + # python-version: 3.11.1 + # - name: Install PipEnv dependencies + # run: | + # python -m pip install --upgrade pip + # pip install --user pipenv + # - name: Format with Black + # run: | + # poetry install --dev + # poetry run black train + # poetry run black train --check + # - name: Lint with flake8 + # run: | + # poetry install --dev + # poetry run flake8 . packages_unit_tests: runs-on: ubuntu-latest steps: - uses: actions/checkout@v3 with: fetch-depth: 0 - - name: Set up Python 3.11 + - name: Set up Python ${{ env.PYTHON_VERSION }} uses: actions/setup-python@v3 with: - python-version: "3.11.1" - - name: Install PipEnv dependencies + python-version: ${{ env.PYTHON_VERSION }} + - name: Install Python dependencies run: | python -m pip install --upgrade pip - pip install --user pipenv + pip install --user poetry - name: Run unit tests Packages Extraction working-directory: packages/extraction run: | - pipenv install --dev - cd src - pipenv run coverage run -m unittest tests.extraction_tests - pipenv run coverage report + poetry install + poetry run coverage run -m unittest tests.extraction_tests + poetry run coverage report - name: Run unit tests Packages Inference working-directory: packages/inference run: | - pipenv install --dev - cd src - # pipenv run coverage run -m unittest tests.inference_tests - # pipenv run coverage report - pipenv run python -m unittest tests.inference_tests - build_python_packages: - runs-on: ubuntu-latest - needs: packages_unit_tests - steps: - - uses: actions/checkout@v3 - with: - fetch-depth: 0 - - name: Set up Python 3.11 - uses: actions/setup-python@v3 - with: - python-version: "3.11.1" - - name: Build packages - run: | - chmod +x ./bin/build_package.sh - ./bin/build_package.sh packages/extraction train/extraction mlopspython_extraction mlopspython-extraction __token__ ${{ secrets.PYPI_API_TOKEN }} - ./bin/build_package.sh packages/inference train/evaluate mlopspython_inference mlopspython-inference __token__ ${{ secrets.PYPI_API_TOKEN }} - sleep 60 + poetry install + #poetry run coverage run -m unittest tests.inference_tests + #poetry run coverage report train_unit_tests: runs-on: ubuntu-latest - needs: build_python_packages steps: - uses: actions/checkout@v3 with: fetch-depth: 0 - - name: Set up Python 3.11 + - name: Set up Python ${{ env.PYTHON_VERSION }} uses: actions/setup-python@v3 with: - python-version: "3.11.1" - - name: Build packages - run: | - chmod +x ./bin/build_package.sh - ./bin/build_package.sh packages/extraction train/extraction mlopspython_extraction mlopspython-extraction - ./bin/build_package.sh packages/inference train/evaluate mlopspython_inference mlopspython-inference - - name: Install PipEnv dependencies + python-version: ${{ env.PYTHON_VERSION }} + - name: Install Python dependencies run: | python -m pip install --upgrade pip - pip install --user pipenv + pip install --user poetry + - name: Build packages + run: | + chmod +x ./Makefile + ./Makefile - name: Run unit tests Extraction working-directory: train/extraction run: | - pipenv install --dev - #pipenv run coverage run -m unittest tests.extraction_test - #pipenv run coverage report + poetry lock + poetry install + #poetry run coverage run -m unittest tests.extraction_test + #poetry run coverage report - name: Run unit tests Label Split Data working-directory: train/label_split_data run: | - pipenv install --dev - pipenv run coverage run -m unittest tests.label_split_data_test - pipenv run coverage report - - name: Run unit tests Train - working-directory: train/train - run: | - pipenv install --dev - pipenv run python -m unittest tests.train_test - - name: Run unit tests Evaluate - working-directory: train/evaluate - run: | - pipenv install --dev - pipenv run python -m unittest tests.evaluate_test + poetry lock + poetry install + poetry run coverage run -m unittest tests.label_split_data_test + poetry run coverage report + #- name: Run unit tests Train + # working-directory: train/train + # run: | + # poetry install --dev + # poetry run python -m unittest tests.train_test + #- name: Run unit tests Evaluate + # working-directory: train/test + # run: | + # poetry install --dev + # poetry run python -m unittest tests.evaluate_test tags: runs-on: ubuntu-latest - needs: train_unit_tests + needs: [train_unit_tests, packages_unit_tests] outputs: new_version: ${{ steps.tag.outputs.new_version }} steps: @@ -148,39 +141,58 @@ jobs: if [ '${{ github.ref }}' = 'refs/heads/main' ]; then echo "new_version=${{ steps.tag_version.outputs.new_version }}" >> $GITHUB_OUTPUT else - echo "new_version=pr-${{ github.event.number }}" >> $GITHUB_OUTPUT + echo "new_version=pr-${{ github.event.number }}-${{ github.run_number }}" >> $GITHUB_OUTPUT fi train: runs-on: ubuntu-latest needs: tags outputs: MODEL_VERSION: ${{ steps.train.outputs.MODEL_VERSION }} + INTEGRATION_DATASET_VERSION: ${{ steps.train.outputs.INTEGRATION_DATASET_VERSION }} + EXPERIMENT_ID: ${{ steps.train.outputs.EXPERIMENT_ID }} + AZURE_RESOURCE_GROUP_NAME: ${{ env.AZURE_RESOURCE_GROUP_NAME }} + AZURE_ML_WORKSPACE_NAME: ${{ env.AZURE_ML_WORKSPACE_NAME }} + DOCKER_IMAGE_NAME: ${{ env.DOCKER_IMAGE_NAME }} steps: - uses: actions/checkout@v3 with: fetch-depth: 0 - - name: Set up Python 3.11 + - name: Set up Python ${{ env.PYTHON_VERSION }} uses: actions/setup-python@v3 with: - python-version: "3.11.1" - - name: Build packages - run: | - chmod +x ./bin/build_package.sh - ./bin/build_package.sh packages/extraction train/extraction mlopspython_extraction mlopspython-extraction - ./bin/build_package.sh packages/inference train/evaluate mlopspython_inference mlopspython-inference - - name: Install PipEnv dependencies + python-version: ${{ env.PYTHON_VERSION }} + - name: Install Python dependencies run: | python -m pip install --upgrade pip - pip install --user pipenv + pip install --user poetry + - name: Build packages + run: | + chmod +x ./Makefile + ./Makefile - name: azure login uses: azure/login@v1 with: - creds: ${{secrets.AZUREML_CREDENTIALS}} - - name: run train/azure/run_pipeline.py.py + creds: ${{secrets.AZURE_CREDENTIALS}} + - name: Run Train Pipeline run: | - pipenv install - #pipenv run python azureml_run_test.py > train_output.txt - pipenv run python azureml_run_pipeline.py > train_output.txt + poetry install + az extension add -n ml + az group create --name ${{ env.AZURE_RESOURCE_GROUP_NAME }} --location ${{ env.AZURE_LOCATION }} + az ml workspace create -n ${{ env.AZURE_ML_WORKSPACE_NAME }} -g ${{ env.AZURE_RESOURCE_GROUP_NAME }} + cwd=$(pwd) + cd ./extraction + chmod +x ./init_dataset.sh + ./init_dataset.sh ${{ env.AZURE_RESOURCE_GROUP_NAME }} ${{ env.AZURE_ML_WORKSPACE_NAME }} + cd $cwd + cd ./label_split_data + chmod +x ./init_dataset.sh + ./init_dataset.sh ${{ env.AZURE_RESOURCE_GROUP_NAME }} ${{ env.AZURE_ML_WORKSPACE_NAME }} + cd $cwd + #poetry run python azureml_run_test.py > train_output.txt + poetry run python azureml_run_pipeline.py \ + --subscription_id ${{ env.AZURE_SUBSCRIPTION_ID }} \ + --resource_group_name ${{ env.AZURE_RESOURCE_GROUP_NAME }} \ + --workspace_name ${{ env.AZURE_ML_WORKSPACE_NAME }} > train_output.txt cat train_output.txt working-directory: train - name: download model @@ -189,13 +201,18 @@ jobs: az extension add -n ml MODEL_VERSION=$(python bin/retrieve_output.py ./train/train_output.txt model_version) echo "MODEL_VERSION=$MODEL_VERSION" >> $GITHUB_OUTPUT + INTEGRATION_DATASET_VERSION=$(python bin/retrieve_output.py ./train/train_output.txt integration_dataset_version) + echo "INTEGRATION_DATASET_VERSION=$INTEGRATION_DATASET_VERSION" >> $GITHUB_OUTPUT + EXPERIMENT_ID=$(python bin/retrieve_output.py ./train/train_output.txt experiment_id) + echo "EXPERIMENT_ID=$EXPERIMENT_ID" >> $GITHUB_OUTPUT + mkdir model rm -r model mkdir model cd model - az ml model download --name cats-dogs-others --version $MODEL_VERSION --resource-group azure-ml --workspace-name cats-dogs + az ml model download --name cats-dogs-others --version $MODEL_VERSION --resource-group ${{ env.AZURE_RESOURCE_GROUP_NAME }} --workspace-name ${{ env.AZURE_ML_WORKSPACE_NAME }} # find files recursively and copy them to the current directory root - find ./ -name '*.h5' -exec cp "{}" ./ \; + find ./ -name '*.keras' -exec cp "{}" ./ \; find ./ -name '*.json' -exec cp "{}" ./ \; rm -r ./cats-dogs-others - name: Upload Model Build Artifact @@ -206,6 +223,7 @@ jobs: - name: release uses: actions/create-release@v1 id: create_release + if: github.ref == 'refs/heads/main' with: draft: false prerelease: false @@ -222,6 +240,7 @@ jobs: path: . directory: ./model - name: upload artifact + if: github.ref == 'refs/heads/main' uses: actions/upload-release-asset@v1 env: GITHUB_TOKEN: ${{ github.token }} @@ -234,55 +253,66 @@ jobs: needs: [train, tags] uses: ./.github/workflows/docker.yml with: - image_name: "guillaumechervet/mlopspython" + image_name: ${{ needs.train.outputs.DOCKER_IMAGE_NAME }} image_version: ${{ needs.tags.outputs.new_version }} image_build_args: "" image_context: ./production/api image_file: "./production/api/Dockerfile" model_version: ${{ needs.train.outputs.MODEL_VERSION }} + resource_group: ${{ needs.train.outputs.AZURE_RESOURCE_GROUP_NAME }} + workspace_name: ${{ needs.train.outputs.AZURE_ML_WORKSPACE_NAME }} secrets: DOCKER_USERNAME: ${{ secrets.DOCKER_USERNAME }} DOCKER_PASSWORD: ${{ secrets.DOCKER_PASSWORD }} - AZUREML_CREDENTIALS: ${{ secrets.AZUREML_CREDENTIALS }} + AZURE_CREDENTIALS: ${{ secrets.AZURE_CREDENTIALS }} deploy: runs-on: ubuntu-latest needs: [tags, build_docker] steps: - - name: deploy application - run: | - echo "Deploying application" - name: azure login uses: azure/login@v1 with: - creds: ${{secrets.AZUREML_CREDENTIALS}} - - name: run train/azure/run_pipeline.py.py + creds: ${{secrets.AZURE_CREDENTIALS}} + - name: Deploy container run: | - az webapp config container set --resource-group azure-ml --name webapp-cdo --docker-custom-image-name docker.io/guillaumechervet/mlopspython:${{ needs.tags.outputs.new_version }} + # https://learn.microsoft.com/en-us/cli/azure/container?view=azure-cli-latest#az-container-create() + az container create --resource-group ${{ env.AZURE_RESOURCE_GROUP_NAME}} --name ${{ env.AZURE_WEBAPP_NAME }} --dns-name-label ${{ env.AZURE_WEBAPP_NAME }} --image docker.io/${{ env.DOCKER_IMAGE_NAME }}:${{ needs.tags.outputs.new_version }} --ports 5000 integration_tests: runs-on: ubuntu-latest - needs: deploy + needs: [deploy, train] steps: - uses: actions/checkout@v3 with: fetch-depth: 0 + - name: Set up Python ${{ env.PYTHON_VERSION }} + uses: actions/setup-python@v3 + with: + python-version: ${{ env.PYTHON_VERSION }} + - name: Install Python dependencies + run: | + python -m pip install --upgrade pip + pip install --user poetry - name: azure login uses: azure/login@v1 with: - creds: ${{secrets.AZUREML_CREDENTIALS}} - - name: run train/azure/run_pipeline.py.py - working-directory: production/integration_tests - run: | - pip install azureml azureml.core azureml.pipeline - pip install -r requirements.txt - python train_aml.py + creds: ${{secrets.AZURE_CREDENTIALS}} - name: Run Integration Test + working-directory: production/integration run: | - echo "Running integration tests" - echo "Number call in parallel: 1" - echo "Classification Percentage: 97%" - echo "Average Response Time: 550 ms" - echo "Number Error: 0" - + poetry install + az extension add -n ml + poetry run python azureml_run_pipeline.py \ + --subscription_id ${{ env.AZURE_SUBSCRIPTION_ID }} \ + --resource_group_name ${{ env.AZURE_RESOURCE_GROUP_NAME }} \ + --workspace_name ${{ env.AZURE_ML_WORKSPACE_NAME }} \ + --experiment_id ${{ needs.train.outputs.EXPERIMENT_ID }} \ + --integration_dataset_name "cats-dogs-others-integration" \ + --integration_dataset_version ${{ needs.train.outputs.INTEGRATION_DATASET_VERSION }} \ + --url "http://${{ env.AZURE_WEBAPP_NAME }}.${{ env.AZURE_LOCATION }}.azurecontainer.io:5000/upload" > integration_output.txt + cat integration_output.txt + - name: Delete Environment + run: | + az container delete --resource-group ${{ env.AZURE_RESOURCE_GROUP_NAME}} --name ${{ env.AZURE_WEBAPP_NAME }} --yes webapp: runs-on: ubuntu-latest steps: @@ -299,7 +329,7 @@ jobs: with: node-version: '18' - name: Build webapp - working-directory: webapp + working-directory: production/webapp run: | npm ci npm run build @@ -307,4 +337,4 @@ jobs: uses: actions/upload-artifact@v2 with: name: Publish webapp - path: ./webapp/build \ No newline at end of file + path: ./production/webapp/build diff --git a/.github/workflows/docker.yml b/.github/workflows/docker.yml index f720fb4b..8b19be2f 100644 --- a/.github/workflows/docker.yml +++ b/.github/workflows/docker.yml @@ -21,18 +21,23 @@ on: model_version: required: true type: string + resource_group: + required: true + type: string + workspace_name: + required: true + type: string secrets: DOCKER_USERNAME: required: true DOCKER_PASSWORD: required: true - AZUREML_CREDENTIALS: + AZURE_CREDENTIALS: required: true jobs: build: runs-on: ubuntu-latest - environment: MLOpsPython steps: - uses: actions/checkout@v3 @@ -42,17 +47,18 @@ jobs: - name: Set up Python 3.11 uses: actions/setup-python@v3 with: - python-version: "3.11.1" + python-version: "3.10.13" - name: Setup Project run: | + pip install --user poetry chmod +x ./Makefile ./Makefile - name: azure login uses: azure/login@v1 with: - creds: ${{secrets.AZUREML_CREDENTIALS}} + creds: ${{secrets.AZURE_CREDENTIALS}} - name: download model run: | @@ -63,10 +69,13 @@ jobs: run: | az extension add -n ml MODEL_VERSION=${{ inputs.model_version }} + RESOURCE_GROUP=${{ inputs.resource_group }} + WORKSPACE_NAME=${{ inputs.workspace_name }} cd production/api/core/model - az ml model download --name cats-dogs-others --version $MODEL_VERSION --resource-group azure-ml --workspace-name cats-dogs + az ml model download --name cats-dogs-others --version $MODEL_VERSION --resource-group $RESOURCE_GROUP --workspace-name $WORKSPACE_NAME # find files recursively and copy them to the current directory root - find ./ -name '*.h5' -exec cp "{}" ./ \; + find ./ -name '*.keras' -exec cp "{}" ./ \; + ls rm -r ./cats-dogs-others - name: Log in to Docker Hub uses: docker/login-action@v2 diff --git a/.gitignore b/.gitignore index 485dee64..86d01278 100644 --- a/.gitignore +++ b/.gitignore @@ -1 +1,2 @@ .idea +/get-pip.py diff --git a/Makefile b/Makefile index 96cedb9c..90b68bc8 100644 --- a/Makefile +++ b/Makefile @@ -1,20 +1,22 @@ -python -m pip install --upgrade pip -python -m pip install --upgrade setuptools wheel +install_mode=${1:-poetry} +download_model_version=${2:-none} -pip install -e packages/inference +if [ $download_model_version != 'none' ]; then + # Download the model from here : + # https://github.com/guillaume-chervet/MLOpsPython/releases/download/v0.1.0/mlopspython_model.zip + # Unzip it + curl -L https://github.com/guillaume-chervet/MLOpsPython/releases/download/v0.1.0/mlopspython_model.zip --output model.zip + unzip model.zip -d ./production/api/core/model + rm model.zip +fi -cd packages/inference/ -python setup.py sdist bdist_wheel -cd dist -cp *.whl ../../../train/evaluate/packages -cp *.whl ../../../production/api/packages -cd ../../../ -pip install -e packages/extraction - -cd packages/extraction/ -python setup.py sdist bdist_wheel -cd dist -cp *.whl ../../../train/extraction/packages -cp *.whl ../../../production/api/packages -cd ../../../ \ No newline at end of file +if [ $install_mode = 'pip' ]; then + echo "Installing with pip (degraded mode)" + chmod +x pip-install.sh + ./pip-install.sh +else + echo "Installing with poetry (default mode)" + chmod +x poetry-install.sh + ./poetry-install.sh +fi diff --git a/Pipfile b/Pipfile deleted file mode 100644 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https://github.com/guillaume-chervet/MLOpsPython/releases/download/v0.1.0/mlopspython_model.zip -# Unzip it -curl -L https://github.com/guillaume-chervet/MLOpsPython/releases/download/v0.1.0/mlopspython_model.zip --output model.zip -unzip model.zip -d ./production/api/core/model -rm model.zip +# If you have poetry installed +./Makefile poetry 0.1.0 +# Else degraded mode +./Makefile pip 0.1.0 cd production docker-compose up diff --git a/documentation/step_1_extraction.md b/documentation/step_1_extraction.md index bfe631f7..8fb6074f 100644 --- a/documentation/step_1_extraction.md +++ b/documentation/step_1_extraction.md @@ -393,7 +393,7 @@ def score_data( def eval_model( scoring_result: Input(type="uri_folder"), eval_output: Output(type="uri_folder") ): - """A dummy evaluate component.""" + """A dummy test component.""" lines = [ f"Scoring result path: {scoring_result}", diff --git a/packages/extraction/.gitignore b/packages/extraction/.gitignore index 4986ca2c..22a7fcb3 100644 --- a/packages/extraction/.gitignore +++ b/packages/extraction/.gitignore @@ -3,4 +3,5 @@ /build/ /dist/ **/*.egg-info/ -**/__pycache__/ \ No newline at end of file +**/__pycache__/ +/.coverage \ No newline at end of file diff --git a/packages/extraction/Pipfile b/packages/extraction/Pipfile deleted file mode 100644 index 26d899d2..00000000 --- a/packages/extraction/Pipfile +++ /dev/null @@ -1,14 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[packages] -pymupdf = "===1.21.1" - -[dev-packages] -coverage = "===7.1.0" - -[requires] -python_version = "3.11" -python_full_version = "3.11.1" diff --git a/packages/extraction/src/mlopspython_extraction/__init__.py b/packages/extraction/README.md similarity index 100% rename from packages/extraction/src/mlopspython_extraction/__init__.py rename to packages/extraction/README.md diff --git a/packages/inference/src/mlopspython_inference/__init__.py b/packages/extraction/mlopspython_extraction/__init__.py 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"1.23.3" + + +[tool.poetry.group.dev.dependencies] +coverage = "^7.3.1" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/packages/extraction/requirements.txt b/packages/extraction/requirements.txt index bcbe6de8..cca4313b 100644 --- a/packages/extraction/requirements.txt +++ b/packages/extraction/requirements.txt @@ -1 +1,2 @@ -pymupdf==1.21.1 \ No newline at end of file +pymupdf==1.23.3 ; python_version >= "3.8" and python_version < "3.11" +pymupdfb==1.23.3 ; python_version >= "3.8" and python_version < "3.11" diff --git a/packages/extraction/setup.py b/packages/extraction/setup.py index a032bfd8..aa516eee 100644 --- a/packages/extraction/setup.py +++ b/packages/extraction/setup.py @@ -1,14 +1,13 @@ import setuptools -import version with open("requirements.txt") as f: requirements = f.read().splitlines() setuptools.setup( name="mlopspython-extraction", - version=version.VERSION, + version="0.0.0", packages=["mlopspython_extraction"], - package_dir={"": "src"}, + package_dir={"": ""}, package_data={"mlopspython_extraction": ["*"]}, install_requires=requirements, author="Guillaume Chervet", @@ -22,4 +21,4 @@ classifiers=["Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.11", ] -) +) \ No newline at end of file diff --git a/packages/extraction/src/tests/__init__.py b/packages/extraction/tests/__init__.py similarity index 100% rename from packages/extraction/src/tests/__init__.py rename to packages/extraction/tests/__init__.py diff --git a/packages/extraction/src/tests/extraction_tests.py b/packages/extraction/tests/extraction_tests.py similarity index 100% rename from packages/extraction/src/tests/extraction_tests.py rename to packages/extraction/tests/extraction_tests.py diff --git a/packages/extraction/src/tests/input/0a0e5d35-ef01-4239-af60-81f2357a6ab9.pdf b/packages/extraction/tests/input/0a0e5d35-ef01-4239-af60-81f2357a6ab9.pdf similarity index 100% rename from packages/extraction/src/tests/input/0a0e5d35-ef01-4239-af60-81f2357a6ab9.pdf rename to packages/extraction/tests/input/0a0e5d35-ef01-4239-af60-81f2357a6ab9.pdf diff --git a/packages/extraction/src/tests/input/0a3ceb8b-43af-43ef-93d7-5adeb78d6df9.pdf b/packages/extraction/tests/input/0a3ceb8b-43af-43ef-93d7-5adeb78d6df9.pdf similarity index 100% rename from packages/extraction/src/tests/input/0a3ceb8b-43af-43ef-93d7-5adeb78d6df9.pdf rename to packages/extraction/tests/input/0a3ceb8b-43af-43ef-93d7-5adeb78d6df9.pdf diff --git a/packages/extraction/version.py b/packages/extraction/version.py deleted file mode 100644 index 7723ca46..00000000 --- a/packages/extraction/version.py +++ /dev/null @@ -1 +0,0 @@ -VERSION = "0.0.0" diff --git a/packages/inference/.gitignore b/packages/inference/.gitignore index 4986ca2c..cc7f6030 100644 --- a/packages/inference/.gitignore +++ b/packages/inference/.gitignore @@ -3,4 +3,5 @@ /build/ /dist/ **/*.egg-info/ -**/__pycache__/ \ No newline at end of file +**/__pycache__/ +/.coverage diff --git a/packages/inference/Pipfile b/packages/inference/Pipfile deleted file mode 100644 index aec20a84..00000000 --- a/packages/inference/Pipfile +++ /dev/null @@ -1,18 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[packages] -numpy = "===1.23.5" -keras = "===2.12.0" -tensorflow = "===2.12.0" -opencv-contrib-python-headless = "===4.7.0.68" -Pillow = "===9.5.0" - -[dev-packages] -coverage = "===7.1.0" - -[requires] -python_version = "3.11" -python_full_version = "3.11.1" \ No newline at end of file diff --git a/packages/inference/src/tests/__init__.py b/packages/inference/README.md similarity index 100% rename from packages/inference/src/tests/__init__.py rename to packages/inference/README.md diff --git a/production/integration_tests/__init__.py b/packages/inference/mlopspython_inference/__init__.py similarity index 100% rename from production/integration_tests/__init__.py rename to 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python_version >= "3.8" and python_version < "3.11" +scipy==1.10.1 ; python_version >= "3.8" and python_version < "3.11" +setuptools==68.2.2 ; python_version >= "3.8" and python_version < "3.11" +six==1.16.0 ; python_version >= "3.8" and python_version < "3.11" +tensorboard-data-server==0.7.1 ; python_version >= "3.8" and python_version < "3.11" +tensorboard==2.12.3 ; python_version >= "3.8" and python_version < "3.11" +tensorflow-estimator==2.12.0 ; python_version >= "3.8" and python_version < "3.11" +tensorflow-io-gcs-filesystem==0.27.0 ; python_version >= "3.8" and python_version < "3.11" +tensorflow==2.12.0 ; python_version >= "3.8" and python_version < "3.11" +termcolor==2.3.0 ; python_version >= "3.8" and python_version < "3.11" +typing-extensions==4.8.0 ; python_version >= "3.8" and python_version < "3.11" +urllib3==2.0.6 ; python_version >= "3.8" and python_version < "3.11" +werkzeug==3.0.0 ; python_version >= "3.8" and python_version < "3.11" +wheel==0.41.2 ; python_version >= "3.8" and python_version < "3.11" +wrapt==1.14.1 ; python_version >= "3.8" and python_version < "3.11" +zipp==3.17.0 ; python_version >= "3.8" and python_version < "3.10" diff --git a/packages/inference/setup.py b/packages/inference/setup.py index 0c19346d..ad993f62 100644 --- a/packages/inference/setup.py +++ b/packages/inference/setup.py @@ -1,14 +1,13 @@ import setuptools -import version with open("requirements.txt") as f: requirements = f.read().splitlines() setuptools.setup( name="mlopspython-inference", - version=version.VERSION, + version="0.0.0", packages=["mlopspython_inference"], - package_dir={"": "src"}, + package_dir={"": ""}, package_data={"mlopspython_inference": ["*"]}, install_requires=requirements, author="Guillaume Chervet", @@ -22,4 +21,4 @@ classifiers=["Programming Language :: Python :: 3 :: Only", "Programming Language :: Python :: 3.11", ] -) +) \ No newline at end of file diff --git a/production/integration_tests/aml/__init__.py b/packages/inference/tests/__init__.py similarity index 100% rename from production/integration_tests/aml/__init__.py rename to packages/inference/tests/__init__.py diff --git a/packages/inference/src/tests/inference_tests.py b/packages/inference/tests/inference_tests.py similarity index 100% rename from packages/inference/src/tests/inference_tests.py rename to packages/inference/tests/inference_tests.py diff --git a/packages/inference/src/tests/input/images/cat.png b/packages/inference/tests/input/images/cat.png similarity index 100% rename from packages/inference/src/tests/input/images/cat.png rename to packages/inference/tests/input/images/cat.png diff --git a/packages/inference/src/tests/input/model/final_model.h5 b/packages/inference/tests/input/model/final_model.h5 similarity index 100% rename from packages/inference/src/tests/input/model/final_model.h5 rename to packages/inference/tests/input/model/final_model.h5 diff --git a/packages/inference/version.py b/packages/inference/version.py deleted file mode 100644 index 7723ca46..00000000 --- a/packages/inference/version.py +++ /dev/null @@ -1 +0,0 @@ -VERSION = "0.0.0" diff --git a/pip-install.sh b/pip-install.sh new file mode 100644 index 00000000..487726f9 --- /dev/null +++ b/pip-install.sh @@ -0,0 +1,31 @@ +python -m ensurepip --upgrade +curl https://bootstrap.pypa.io/get-pip.py > get-pip.py +python get-pip.py +python -m pip install --upgrade pip + +python -m pip install setuptools wheel +python -m pip install --upgrade setuptools wheel + +cwd=$(pwd) + +echo "Install packages Inference" +python -m pip install -e packages/inference + +cd packages/inference/ +python setup.py sdist bdist_wheel +cd dist +cp *.whl ../../../train/test/packages +cp *.whl ../../../production/api/packages + +cd $cwd + +echo "Install packages Extraction" +python -m python -m pip install -e packages/extraction + +cd packages/extraction/ +python setup.py sdist bdist_wheel +cd dist +cp *.whl ../../../train/extraction/packages +cp *.whl ../../../production/api/packages +cd $cwd + diff --git a/poetry-install.sh b/poetry-install.sh new file mode 100644 index 00000000..311e33b1 --- /dev/null +++ b/poetry-install.sh @@ -0,0 +1,52 @@ + +cwd=$(pwd) + +python -m pip install -e packages/inference + +cd packages/inference/ +poetry install +poetry build +poetry export --without-hashes --format=requirements.txt > requirements.txt +cd dist +cp *.whl ../../../train/test/packages +cp *.whl ../../../production/api/packages +cd $cwd + +python -m pip install -e packages/extraction + +cd packages/extraction/ +poetry install +poetry build +poetry export --without-hashes --format=requirements.txt > requirements.txt +cd dist +cp *.whl ../../../train/extraction/packages +cp *.whl ../../../production/api/packages +cd $cwd + + +cd train/extraction +poetry export --without-hashes --format=requirements.txt > requirements.txt +sed -i 's#\(.*\)/packages/mlopspython_extraction-0.0.0-py3-none-any.whl\(.*\)#./packages/mlopspython_extraction-0.0.0-py3-none-any.whl\2#' requirements.txt + +cd $cwd +cd train/test +poetry export --without-hashes --format=requirements.txt > requirements.txt +sed -i 's#\(.*\)/packages/mlopspython_inference-0.0.0-py3-none-any.whl\(.*\)#./packages/mlopspython_inference-0.0.0-py3-none-any.whl\2#' requirements.txt + +cd $cwd +cd train/train +poetry export --without-hashes --format=requirements.txt > requirements.txt + +cd $cwd +cd train/label_split_data +poetry export --without-hashes --format=requirements.txt > requirements.txt + +cd $cwd +cd production/api +poetry export --without-hashes --format=requirements.txt > requirements.txt +sed -i 's#\(.*\)/packages/mlopspython_inference-0.0.0-py3-none-any.whl\(.*\)#./packages/mlopspython_inference-0.0.0-py3-none-any.whl\2#' requirements.txt +sed -i 's#\(.*\)/packages/mlopspython_extraction-0.0.0-py3-none-any.whl\(.*\)#./packages/mlopspython_extraction-0.0.0-py3-none-any.whl\2#' requirements.txt + +cd $cwd +cd production/integration +poetry export --without-hashes --format=requirements.txt > requirements.txt \ No newline at end of file diff --git a/production/api/Dockerfile b/production/api/Dockerfile index c2ab0ec4..7ec6e7a6 100644 --- a/production/api/Dockerfile +++ b/production/api/Dockerfile @@ -1,4 +1,4 @@ -FROM tiangolo/uvicorn-gunicorn-fastapi:python3.11 +FROM tiangolo/uvicorn-gunicorn-fastapi:python3.10 WORKDIR /app COPY . . diff --git a/production/api/core/model/.gitignore b/production/api/core/model/.gitignore index 1fb49a7a..d7f38475 100644 --- a/production/api/core/model/.gitignore +++ b/production/api/core/model/.gitignore @@ -1,2 +1,3 @@ cats-dogs-others /final_model.h5 +/final_model.keras diff --git a/production/api/core/model/inference_cv.py b/production/api/core/model/inference_cv.py index d071db7e..9a8ef038 100644 --- a/production/api/core/model/inference_cv.py +++ b/production/api/core/model/inference_cv.py @@ -27,7 +27,7 @@ def load_image(file): class Inference: def __init__(self, logging, app_settings): self.logger = logging.getLogger(__name__) - model_path = (str(BASE_PATH / 'final_model.h5')) + model_path = (str(BASE_PATH / 'final_model.keras')) self.model = load_model(model_path) def execute(self, file, filename, settings=None): diff --git a/production/api/core/model/inference_pillow.py b/production/api/core/model/inference_pillow.py index b4f9c4db..9c6f5717 100644 --- a/production/api/core/model/inference_pillow.py +++ b/production/api/core/model/inference_pillow.py @@ -7,7 +7,7 @@ class Inference: def __init__(self, logging, app_settings): self.logger = logging.getLogger(__name__) - model_path = (str(BASE_PATH / 'final_model.h5')) + model_path = (str(BASE_PATH / 'final_model.keras')) self.inference = InferencePillow(logging, str(model_path)) def execute(self, file, filename, 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+[tool.poetry.group.dev.dependencies] +coverage = "^7.3.1" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/production/api/requirements.txt b/production/api/requirements.txt index 026c63a6..cba746fa 100644 --- a/production/api/requirements.txt +++ b/production/api/requirements.txt @@ -1,10 +1,60 @@ -./packages/mlopspython_extraction-0.0.0-py3-none-any.whl -./packages/mlopspython_inference-0.0.0-py3-none-any.whl -keras==2.12.0 -tensorflow==2.12.0 -fastapi==0.95.0 -uvicorn -python-multipart -pydantic -pillow -opencv-contrib-python-headless==4.7.0.68 +absl-py==2.0.0 ; python_version >= "3.10" and python_version < "3.11" +anyio==4.0.0 ; python_version >= "3.10" and python_version < "3.11" +astunparse==1.6.3 ; python_version >= "3.10" and python_version < "3.11" +cachetools==5.3.1 ; python_version >= "3.10" and python_version < "3.11" +certifi==2023.7.22 ; python_version >= "3.10" and python_version < "3.11" +charset-normalizer==3.2.0 ; python_version >= "3.10" and python_version < "3.11" +click==8.1.7 ; python_version >= "3.10" and python_version < "3.11" +colorama==0.4.6 ; python_version >= "3.10" and python_version < "3.11" and platform_system == "Windows" +exceptiongroup==1.1.3 ; python_version >= "3.10" and python_version < "3.11" +fastapi==0.95.0 ; python_version >= "3.10" and python_version < "3.11" +flatbuffers==23.5.26 ; python_version >= "3.10" and python_version < "3.11" +gast==0.4.0 ; python_version >= "3.10" and python_version < "3.11" +google-auth-oauthlib==1.0.0 ; python_version >= "3.10" and python_version < "3.11" +google-auth==2.23.1 ; python_version >= "3.10" and python_version < "3.11" +google-pasta==0.2.0 ; python_version >= "3.10" and python_version < "3.11" +grpcio==1.58.0 ; python_version >= "3.10" and python_version < "3.11" +h11==0.14.0 ; python_version >= "3.10" and python_version < "3.11" +h5py==3.9.0 ; python_version >= "3.10" and python_version < "3.11" +idna==3.4 ; python_version >= 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"3.10" and python_version < "3.11" +wheel==0.41.2 ; python_version >= "3.10" and python_version < "3.11" +wrapt==1.14.1 ; python_version >= "3.10" and python_version < "3.11" diff --git a/production/integration/azureml_run_pipeline.py b/production/integration/azureml_run_pipeline.py new file mode 100644 index 00000000..208c07e5 --- /dev/null +++ b/production/integration/azureml_run_pipeline.py @@ -0,0 +1,123 @@ +import argparse + +from azure.ai.ml.constants import AssetTypes +from azure.identity import DefaultAzureCredential, InteractiveBrowserCredential + +from azure.ai.ml import MLClient, Input, Output, load_component +from azure.ai.ml.dsl import pipeline +from azure.ai.ml.entities import Data +from azure.ai.ml.entities import AmlCompute + + +import uuid + +import json + +parser = argparse.ArgumentParser("integration") +parser.add_argument("--subscription_id", type=str) +parser.add_argument("--resource_group_name", type=str) +parser.add_argument("--workspace_name", type=str) +parser.add_argument("--experiment_id", type=str) +parser.add_argument("--integration_dataset_name", type=str) +parser.add_argument("--integration_dataset_version", type=str) +parser.add_argument("--url", type=str) + +args = parser.parse_args() +subscription_id = args.subscription_id +resource_group_name = args.resource_group_name +workspace_name = args.workspace_name +experiment_id = args.experiment_id +integration_dataset_name = args.integration_dataset_name +integration_dataset_version = args.integration_dataset_version +url = args.url + + +URI_FOLDER = "uri_folder" + +try: + credential = DefaultAzureCredential() + # Check if given credential can get token successfully. + credential.get_token("https://management.azure.com/.default") +except Exception as ex: + print(ex) + # Fall back to InteractiveBrowserCredential in case DefaultAzureCredential not work + credential = InteractiveBrowserCredential() + + +# Get a handle to workspace +ml_client = MLClient( + credential=credential, + subscription_id=subscription_id, + resource_group_name=resource_group_name, + workspace_name=workspace_name, +) + +# Retrieve an already attached Azure Machine Learning Compute. +cluster_name = "guillaume-cpu-low" + +cluster_basic = AmlCompute( + name=cluster_name, + type="amlcompute", + size="Standard_D4s_v3", + location="northeurope", #az account list-locations -o table + min_instances=0, + max_instances=1, + idle_time_before_scale_down=60, +) +ml_client.begin_create_or_update(cluster_basic).result() + + +@pipeline(default_compute=cluster_name) +def azureml_pipeline(integration_input: Input(type=AssetTypes.URI_FOLDER), url_input: Input(type="string")): + + integration_step = load_component(source="mlcli/command.yaml") + integration = integration_step( + integration_input=integration_input, + url_input=url_input + ) + + return { + "integration_output": integration.outputs.integration_output, + } + + +pipeline_job = azureml_pipeline( + integration_input=Input( + path="azureml:" + integration_dataset_name + ":" + integration_dataset_version , type=URI_FOLDER + ), + url_input=url, +) + + +azure_blob = "azureml://datastores/workspaceblobstore/paths/" +experience_id = str(uuid.uuid4()) + +custom_integration_path = azure_blob + "/integration-output/cats-dogs-others/" + experience_id + "/" +pipeline_job.outputs.integration_output = Output( + type=URI_FOLDER, mode="rw_mount", path=custom_integration_path +) + +pipeline_job = ml_client.jobs.create_or_update( + pipeline_job, experiment_name="cats_dogs_others_integration_pipeline" +) + +ml_client.jobs.stream(pipeline_job.name) + +integration_output_dataset = Data( + name="cats-dogs-others-integration-output", + path=custom_integration_path, + type=URI_FOLDER, + description="Dataset for credit card defaults", + tags={"source_type": "web", "source": "UCI ML Repo"}, +) +integration_output_dataset = ml_client.data.create_or_update(integration_output_dataset) +print( + f"Dataset with name {integration_output_dataset.name} was registered to workspace, the dataset version is {integration_output_dataset.version}" +) + +output_data = { + "integration_output_dataset_name": integration_output_dataset.name, + "integration_output_dataset_version": integration_output_dataset.version +} + +print(json.dumps(output_data)) \ No newline at end of file diff --git a/production/integration/mlcli/.amlignore b/production/integration/mlcli/.amlignore new file mode 100644 index 00000000..e9b2dede --- /dev/null +++ b/production/integration/mlcli/.amlignore @@ -0,0 +1,7 @@ +/tests +*.sh +*.yml +*.yaml +*.ipynb +*.lock +*.toml diff --git a/production/integration/mlcli/.dockerignore b/production/integration/mlcli/.dockerignore new file mode 100644 index 00000000..3ede3506 --- /dev/null +++ b/production/integration/mlcli/.dockerignore @@ -0,0 +1,4 @@ +/tests +*.ipynb +*.lock +*.toml diff --git a/production/integration/mlcli/.gitignore b/production/integration/mlcli/.gitignore new file mode 100644 index 00000000..61bf18a8 --- /dev/null +++ b/production/integration/mlcli/.gitignore @@ -0,0 +1,2 @@ +.idea/ +dataset-cats-dogs-others-labels/ \ No newline at end of file diff --git a/production/integration_tests/aml/Dockerfile b/production/integration/mlcli/Dockerfile similarity index 76% rename from production/integration_tests/aml/Dockerfile rename to production/integration/mlcli/Dockerfile index 564fd693..e7712c42 100644 --- a/production/integration_tests/aml/Dockerfile +++ b/production/integration/mlcli/Dockerfile @@ -1,4 +1,4 @@ -FROM mcr.microsoft.com/azureml/base:intelmpi2018.3-ubuntu16.04 +FROM python:3.10.13 WORKDIR home @@ -12,4 +12,6 @@ ENV CURRENT_VERSION=v0.49.6 # Download ml-cli-web RUN curl -L https://github.com/AxaGuilDEv/ml-cli/releases/download/${CURRENT_VERSION}/ml-cli-linux-x64.zip --output ml-cli.zip RUN unzip ml-cli.zip -d ./ml-cli -RUN chmod +x /home/ml-cli/MlCli \ No newline at end of file +RUN chmod +x /home/ml-cli/MlCli + +CMD ["bash"] diff --git a/production/integration/mlcli/README.md b/production/integration/mlcli/README.md new file mode 100644 index 00000000..e69de29b diff --git a/production/integration/mlcli/__init__.py b/production/integration/mlcli/__init__.py new file mode 100644 index 00000000..f73de17d --- /dev/null +++ b/production/integration/mlcli/__init__.py @@ -0,0 +1 @@ +print("init module extraction") diff --git a/production/integration/mlcli/command.py b/production/integration/mlcli/command.py new file mode 100644 index 00000000..43975955 --- /dev/null +++ b/production/integration/mlcli/command.py @@ -0,0 +1,18 @@ +import argparse +from mlcli import run_ml_cli + +parser = argparse.ArgumentParser("integration") +parser.add_argument("--integration_input", type=str) +parser.add_argument("--url_input", type=str) +parser.add_argument("--integration_output", type=str) + +# Get arguments from parser +args = parser.parse_args() +integration_input = args.integration_input +url_input = args.url_input +integration_output = args.integration_output + +with open("./ml-cli.template") as mlcli_file: + mlcli_template = mlcli_file.read() + +run_ml_cli(integration_input, integration_output, url_input, mlcli_template); \ No newline at end of file diff --git a/production/integration/mlcli/command.yaml b/production/integration/mlcli/command.yaml new file mode 100644 index 00000000..1b2bfd9d --- /dev/null +++ b/production/integration/mlcli/command.yaml @@ -0,0 +1,32 @@ + +$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json +type: command + +name: integration +display_name: Integration +description: Split data into train and test sets +version: 0.0.1 +is_deterministic: true + +inputs: + integration_input: + type: uri_folder + url_input: + type: string + +outputs: + integration_output: + type: uri_folder + +environment: + name: integration_environment + build: + path: ./ + +code: ./ +command: >- + python command.py + --integration_input ${{inputs.integration_input}} + --url_input ${{inputs.url_input}} + --integration_output ${{outputs.integration_output}} + diff --git a/production/integration_tests/aml/ml-cli.template b/production/integration/mlcli/ml-cli.template similarity index 78% rename from production/integration_tests/aml/ml-cli.template rename to production/integration/mlcli/ml-cli.template index 34312167..2a04c95d 100644 --- a/production/integration_tests/aml/ml-cli.template +++ b/production/integration/mlcli/ml-cli.template @@ -3,20 +3,20 @@ "type": "callapi", "enabled": true, "enabledSaveImages": false, - "fileDirectory": "${files_directory}$/data/mlcli", + "fileDirectory": "${files_directory}$/mlcli", "outputDirectoryJsons": "${output_directory}$/jsons", "outputDirectoryImages": "${output_directory}$/images", "numberParallel": 1, "isSaveResultOnError": true, "stopAfterNumberFiles": 100, "numberRetryOnHttp500": 1, - "url": "https://webapp-cdo.azurewebsites.net/upload" + "url": "${url}$", }, { "type": "compare", "enabled": true, "onFileNotFound": "warning", - "leftDirectory": "${files_directory}$/data/ground_truth", + "leftDirectory": "${files_directory}$/ground_truth", "rightDirectory": "${output_directory}$/jsons", "outputDirectory": "${output_directory}$", "fileName": "compare-cdo-{start-date}.json" diff --git a/production/integration/mlcli/mlcli.py b/production/integration/mlcli/mlcli.py new file mode 100644 index 00000000..733c3b72 --- /dev/null +++ b/production/integration/mlcli/mlcli.py @@ -0,0 +1,28 @@ +import subprocess + + +def run_ml_cli(files_directory: str, + output_directory: str, + url: str, + ml_cli_template: str, + process_path: str = "/home/ml-cli/MlCli", + run_path: str = "/home/ml-cli", + tasks_path: str = "/home/tasks.json"): + ml_cli_template = ml_cli_template.replace("${files_directory}$", files_directory) + ml_cli_template = ml_cli_template.replace("${output_directory}$", output_directory) + ml_cli_template = ml_cli_template.replace("${url}$", url) + print("ml_cli_template") + print(ml_cli_template) + + with open(tasks_path, 'w') as file: + file.write(ml_cli_template) + + # r'C:\github\ml-cli\src\Ml.Cli\bin\Debug\net6.0\Ml.Cli.exe' + args = [process_path, "--base-path", "/", '--tasks-path', tasks_path] + with subprocess.Popen(args, + cwd=run_path, + stdout=subprocess.PIPE, + stderr=subprocess.STDOUT) as process: + for line in process.stdout: + print(line.decode('utf8')) + diff --git a/production/integration/mlcli/poetry.lock b/production/integration/mlcli/poetry.lock new file mode 100644 index 00000000..37a3889f --- /dev/null +++ b/production/integration/mlcli/poetry.lock @@ -0,0 +1,2674 @@ +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. + +[[package]] +name = "alembic" +version = "1.12.0" +description = "A database migration tool for SQLAlchemy." +optional = false +python-versions = ">=3.7" +files = [ + {file = "alembic-1.12.0-py3-none-any.whl", hash = "sha256:03226222f1cf943deee6c85d9464261a6c710cd19b4fe867a3ad1f25afda610f"}, + {file = 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b/production/integration/mlcli/pyproject.toml new file mode 100644 index 00000000..36dc17a9 --- /dev/null +++ b/production/integration/mlcli/pyproject.toml @@ -0,0 +1,19 @@ +[tool.poetry] +name = "label_split_data" +version = "0.0.0" +description = "" +authors = ["Guillaume Chervet "] + +[tool.poetry.dependencies] +python = "~3.10" +mldesigner = "0.1.0b15" +mlflow = "2.7.1" +azureml-mlflow = "1.53.0" +azure-ai-ml = "1.10.1" + +[tool.poetry.group.dev.dependencies] +coverage = "^7.3.1" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/production/integration/mlcli/requirements.txt b/production/integration/mlcli/requirements.txt new file mode 100644 index 00000000..206d2caf --- /dev/null +++ b/production/integration/mlcli/requirements.txt @@ -0,0 +1,104 @@ +alembic==1.12.0 ; python_version >= "3.10" and python_version < "3.11" +attrs==23.1.0 ; python_version >= "3.10" and python_version < "3.11" +azure-ai-ml==1.10.1 ; python_version >= 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b/production/integration/poetry.lock new file mode 100644 index 00000000..139e6d3d --- /dev/null +++ b/production/integration/poetry.lock @@ -0,0 +1,1188 @@ +# This file is automatically @generated by Poetry 1.6.1 and should not be changed by hand. + +[[package]] +name = "attrs" +version = "23.1.0" +description = "Classes Without Boilerplate" +optional = false +python-versions = ">=3.7" +files = [ + {file = "attrs-23.1.0-py3-none-any.whl", hash = "sha256:1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04"}, + {file = "attrs-23.1.0.tar.gz", hash = "sha256:6279836d581513a26f1bf235f9acd333bc9115683f14f7e8fae46c98fc50e015"}, +] + +[package.extras] +cov = ["attrs[tests]", "coverage[toml] (>=5.3)"] +dev = ["attrs[docs,tests]", "pre-commit"] +docs = ["furo", "myst-parser", "sphinx", "sphinx-notfound-page", "sphinxcontrib-towncrier", "towncrier", "zope-interface"] +tests = ["attrs[tests-no-zope]", "zope-interface"] +tests-no-zope = ["cloudpickle", "hypothesis", "mypy (>=1.1.1)", 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"8f292f52c738c1ab18ec1e26b1dd4c9f19c576e9610fa3cbd3006dc112325165" diff --git a/production/integration/pyproject.toml b/production/integration/pyproject.toml new file mode 100644 index 00000000..514bfa01 --- /dev/null +++ b/production/integration/pyproject.toml @@ -0,0 +1,15 @@ +[tool.poetry] +name = "pipeline" +version = "0.0.0" +description = "" +authors = ["Guillaume Chervet "] + +[tool.poetry.dependencies] +python = "~3.10" +mldesigner = "0.1.0b15" +azure-ai-ml = "1.10.1" +"azure.identity" = "1.14.0" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/production/integration/requirements.txt b/production/integration/requirements.txt new file mode 100644 index 00000000..5a8cbb10 --- /dev/null +++ b/production/integration/requirements.txt @@ -0,0 +1,54 @@ +attrs==23.1.0 ; python_version >= "3.10" and python_version < "3.11" +azure-ai-ml==1.10.1 ; python_version >= "3.10" and python_version < "3.11" +azure-common==1.1.28 ; python_version >= "3.10" and python_version < "3.11" +azure-core==1.29.4 ; python_version >= "3.10" and python_version < "3.11" +azure-identity==1.14.0 ; python_version >= "3.10" and python_version < "3.11" +azure-mgmt-core==1.4.0 ; python_version >= "3.10" and python_version < "3.11" +azure-storage-blob==12.18.2 ; python_version >= "3.10" and python_version < "3.11" +azure-storage-file-datalake==12.13.1 ; python_version >= "3.10" and python_version < "3.11" +azure-storage-file-share==12.14.1 ; python_version >= "3.10" and python_version < "3.11" +cachetools==5.3.1 ; python_version >= "3.10" and python_version < "3.11" +certifi==2023.7.22 ; python_version >= "3.10" and python_version < "3.11" +cffi==1.15.1 ; python_version >= "3.10" and python_version < "3.11" +charset-normalizer==3.2.0 ; python_version >= "3.10" and python_version < "3.11" +colorama==0.4.6 ; python_version >= "3.10" and python_version < "3.11" +cryptography==41.0.4 ; python_version >= "3.10" and python_version < "3.11" +google-api-core==2.12.0 ; python_version >= "3.10" and python_version < "3.11" +google-auth==2.23.1 ; python_version >= "3.10" and python_version < "3.11" +googleapis-common-protos==1.60.0 ; python_version >= "3.10" and python_version < "3.11" +idna==3.4 ; python_version >= "3.10" and python_version < "3.11" +isodate==0.6.1 ; python_version >= "3.10" and python_version < "3.11" +jsonschema-specifications==2023.7.1 ; python_version >= "3.10" and python_version < "3.11" +jsonschema==4.19.1 ; python_version >= "3.10" and python_version < "3.11" +marshmallow==3.20.1 ; python_version >= "3.10" and python_version < "3.11" +mldesigner==0.1.0b15 ; python_version >= "3.10" and python_version < "3.11" +msal-extensions==1.0.0 ; python_version >= "3.10" and python_version < "3.11" +msal==1.24.0 ; python_version >= "3.10" and python_version < "3.11" +msrest==0.7.1 ; python_version >= "3.10" and python_version < "3.11" +oauthlib==3.2.2 ; python_version >= "3.10" and python_version < "3.11" +opencensus-context==0.1.3 ; python_version >= "3.10" and python_version < "3.11" +opencensus-ext-azure==1.1.10 ; python_version >= "3.10" and python_version < "3.11" +opencensus==0.11.3 ; python_version >= "3.10" and python_version < "3.11" +packaging==23.1 ; python_version >= "3.10" and python_version < "3.11" +portalocker==2.8.2 ; python_version >= "3.10" and python_version < "3.11" +protobuf==4.24.3 ; python_version >= "3.10" and python_version < "3.11" +psutil==5.9.5 ; python_version >= "3.10" and python_version < "3.11" +pyasn1-modules==0.3.0 ; python_version >= "3.10" and python_version < "3.11" +pyasn1==0.5.0 ; python_version >= "3.10" and python_version < "3.11" +pycparser==2.21 ; python_version >= "3.10" and python_version < "3.11" +pydash==5.1.2 ; python_version >= "3.10" and python_version < "3.11" +pyjwt==2.8.0 ; python_version >= "3.10" and python_version < "3.11" +pyjwt[crypto]==2.8.0 ; python_version >= "3.10" and python_version < "3.11" +python-dateutil==2.8.2 ; python_version >= "3.10" and python_version < "3.11" +pywin32==306 ; python_version >= "3.10" and platform_system == "Windows" and python_version < "3.11" +pyyaml==6.0.1 ; python_version >= "3.10" and python_version < "3.11" +referencing==0.30.2 ; python_version >= "3.10" and python_version < "3.11" +requests-oauthlib==1.3.1 ; python_version >= "3.10" and python_version < "3.11" +requests==2.31.0 ; python_version >= "3.10" and python_version < "3.11" +rpds-py==0.10.3 ; python_version >= "3.10" and python_version < "3.11" +rsa==4.9 ; python_version >= "3.10" and python_version < "3.11" +six==1.16.0 ; python_version >= "3.10" and python_version < "3.11" +strictyaml==1.7.3 ; python_version >= "3.10" and python_version < "3.11" +tqdm==4.66.1 ; python_version >= "3.10" and python_version < "3.11" +typing-extensions==4.8.0 ; python_version >= "3.10" and python_version < "3.11" +urllib3==2.0.5 ; python_version >= "3.10" and python_version < "3.11" diff --git a/production/integration_tests/aml/conda_dependencies.yml b/production/integration_tests/aml/conda_dependencies.yml deleted file mode 100644 index dd23e7c2..00000000 --- a/production/integration_tests/aml/conda_dependencies.yml +++ /dev/null @@ -1,22 +0,0 @@ -# Conda environment specification. The dependencies defined in this file will -# be automatically provisioned for managed runs. These include runs against -# the localdocker, remotedocker, and cluster compute targets. - -# Note that this file is NOT used to automatically manage dependencies for the -# local compute target. To provision these dependencies locally, run: -# conda env update --file conda_dependencies.yml - -# Details about the Conda environment file format: -# https://conda.io/docs/using/envs.html#create-environment-file-by-hand - -name: license-integration - -channels: - - conda-forge -dependencies: - - python=3.8 - - pip=21.1.3 - - pip: - - azureml-defaults==1.32.0 - - numpy==1.23.0 - \ No newline at end of file diff --git a/production/integration_tests/aml/config_aml.json b/production/integration_tests/aml/config_aml.json deleted file mode 100644 index badbbae4..00000000 --- a/production/integration_tests/aml/config_aml.json +++ /dev/null @@ -1,5 +0,0 @@ -{ - "subscription_id": "9d42c9d4-85ab-429d-afb4-4d77f309078c", - "resource_group": "azure-ml", - "workspace_name": "cats-dogs" -} diff --git a/production/integration_tests/aml/config_env.json b/production/integration_tests/aml/config_env.json deleted file mode 100644 index 938471c1..00000000 --- a/production/integration_tests/aml/config_env.json +++ /dev/null @@ -1,41 +0,0 @@ -{ - "experiment_name":"integration-pipeline", - "datastore_name" : "workspaceblobstore", - "cluster": { - "cluster_cpu": { - "cluster_name": "guillaume-cpu-low", - "vm_size": "Standard_D4s_v3", - "max_nodes": 1 - } - }, - "environment": { - "ml-cli_env": { - "env_name": "integration-ml-cli", - "dockerfile" : "./aml/Dockerfile", - "conda_dependencies_file": "./aml/conda_dependencies.yml", - "version": null - }, - "light_env": { - "env_name": "integration", - "dockerfile" : null, - "conda_dependencies_file": "./aml/conda_dependencies.yml", - "version": null - } - }, - "datasets": { - "inputs": { - "datasets": [{"name": "cats-dogs-others-integration", - "version": 36, - "directory": "data"}], - "number_chunk": 1, - "start_at_chunk_index": 0 - }, - "outputs": { - "path_on_datastore": "integration/{date}", - "datastore_name": "workspaceblobstore", - "datasets": [{"name": "catdogother_mlcli_compare", - "pattern": "*", - "description": "Comparison file generated by ml-cli"}] - } - } -} \ No newline at end of file diff --git a/production/integration_tests/requirements.txt b/production/integration_tests/requirements.txt deleted file mode 100644 index 2022c828..00000000 --- a/production/integration_tests/requirements.txt +++ /dev/null @@ -1 +0,0 @@ -ml-cli-azureml-pipeline==0.0.41 diff --git a/production/integration_tests/train_aml.py b/production/integration_tests/train_aml.py deleted file mode 100644 index 0ac84ce6..00000000 --- a/production/integration_tests/train_aml.py +++ /dev/null @@ -1,36 +0,0 @@ -from pathlib import Path -from ml_cli_azureml_pipeline.run import run_ml_cli_pipeline -import argparse - -BASE_PATH = Path(__file__).resolve().parent - - -def main(): - parser = argparse.ArgumentParser("register") - parser.add_argument( - "--skip_train_execution", - action="store_true", - help=( - "Do not trigger the execution. " - "Use this in Azure DevOps when using a server job to trigger" - ), - ) - parser.add_argument("--build_id", type=str, default="", help="build id") - parser.add_argument("--build_tags", type=str, default="", help="add tags") - parser.add_argument( - "--config_aml_path", - type=str, - default=str(BASE_PATH / "aml" / "config_aml.json"), - help="configuration azure ml path", - ) - parser.add_argument("--mlcli_template_json", type=str, default="", help="mlcli template in json") - parser.add_argument("--datasets_configuration_json", type=str, default="", help="datasets configuration in json") - - args = parser.parse_args() - config_path = BASE_PATH / "aml/config_env.json" - mlcli_template_path = BASE_PATH / "aml/ml-cli.template" - run_ml_cli_pipeline(args, config_path, mlcli_template_path) - - -if __name__ == "__main__": - main() diff --git a/production/webapp/.dockerignore b/production/webapp/.dockerignore index 0607215e..e69de29b 100644 --- a/production/webapp/.dockerignore +++ b/production/webapp/.dockerignore @@ -1,7 +0,0 @@ -node_modules -npm-debug.log -build -.dockerignore -**/.git -**/.DS_Store -**/node_modules \ No newline at end of file diff --git a/production/webapp/package-lock.json b/production/webapp/package-lock.json index b25aba8e..21ea19a6 100644 --- a/production/webapp/package-lock.json +++ b/production/webapp/package-lock.json @@ -8,7 +8,7 @@ "name": "webapp", "version": "1.0.0", "dependencies": { - "@axa-fr/react-oidc": "6.19.2", + "@axa-fr/react-oidc": "7.6.0", "cuid": "3.0.0", "react": "^18.2.0", "react-dom": "^18.2.0", @@ -30,17 +30,32 @@ "node": ">=6.0.0" } }, + "node_modules/@axa-fr/oidc-client": { + "version": "7.6.0", + "resolved": "https://registry.npmjs.org/@axa-fr/oidc-client/-/oidc-client-7.6.0.tgz", + "integrity": "sha512-ltpEHOAp1mZJG5rS8+pO8h6HVy9xWTMUN7cHW6l+81MJf+2I0Ks245L142+BRz1C/IRAwIyOjGUKvXNCAuSC7A==", + "hasInstallScript": true, + "dependencies": { + "@axa-fr/oidc-client-service-worker": "7.6.0" + } + }, + "node_modules/@axa-fr/oidc-client-service-worker": { + "version": "7.6.0", + "resolved": "https://registry.npmjs.org/@axa-fr/oidc-client-service-worker/-/oidc-client-service-worker-7.6.0.tgz", + "integrity": "sha512-m/b2hlUvIuRDvLSgINKofSeaBFFKkdYJKi2Nzdy41+5jXOYLv9eA1r56bsLYQXkRsrFy2B2CHCCK9dpC9BY51g==" + }, "node_modules/@axa-fr/react-oidc": { - "version": "6.19.2", - "resolved": "https://registry.npmjs.org/@axa-fr/react-oidc/-/react-oidc-6.19.2.tgz", - "integrity": "sha512-6uHzXoDy0MRk78eZohffjufeq3Zo0irrb8VTIwHQa4cHjCHKGRVrgY9rIyUQBI+nxR6VyN3c0+IfWZAh+rnHlA==", + "version": "7.6.0", + "resolved": "https://registry.npmjs.org/@axa-fr/react-oidc/-/react-oidc-7.6.0.tgz", + "integrity": "sha512-ugN+SxiEmfAPuAALA6qMPRk/QOwH+IW0VH30rw6arEYsCvmftoGfwruYv7mY1Ay7TBOdty//bHJFsgsG31Q/Cw==", "hasInstallScript": true, "dependencies": { + "@axa-fr/oidc-client": "7.6.0", + "@axa-fr/oidc-client-service-worker": "7.6.0", "base64-js": "1.5.1" }, "peerDependencies": { - "react": "^17.0.0 || ^18.0.0", - "react-dom": "^17.0.0 || ^18.0.0" + "react": "^17.0.0 || ^18.0.0" } }, "node_modules/@babel/code-frame": { @@ -16297,11 +16312,26 @@ "@jridgewell/trace-mapping": "^0.3.9" } }, + "@axa-fr/oidc-client": { + "version": "7.6.0", + "resolved": "https://registry.npmjs.org/@axa-fr/oidc-client/-/oidc-client-7.6.0.tgz", + "integrity": "sha512-ltpEHOAp1mZJG5rS8+pO8h6HVy9xWTMUN7cHW6l+81MJf+2I0Ks245L142+BRz1C/IRAwIyOjGUKvXNCAuSC7A==", + "requires": { + "@axa-fr/oidc-client-service-worker": "7.6.0" + } + }, + "@axa-fr/oidc-client-service-worker": { + "version": "7.6.0", + "resolved": "https://registry.npmjs.org/@axa-fr/oidc-client-service-worker/-/oidc-client-service-worker-7.6.0.tgz", + "integrity": "sha512-m/b2hlUvIuRDvLSgINKofSeaBFFKkdYJKi2Nzdy41+5jXOYLv9eA1r56bsLYQXkRsrFy2B2CHCCK9dpC9BY51g==" + }, "@axa-fr/react-oidc": { - "version": "6.19.2", - "resolved": "https://registry.npmjs.org/@axa-fr/react-oidc/-/react-oidc-6.19.2.tgz", - "integrity": "sha512-6uHzXoDy0MRk78eZohffjufeq3Zo0irrb8VTIwHQa4cHjCHKGRVrgY9rIyUQBI+nxR6VyN3c0+IfWZAh+rnHlA==", + "version": "7.6.0", + "resolved": "https://registry.npmjs.org/@axa-fr/react-oidc/-/react-oidc-7.6.0.tgz", + "integrity": "sha512-ugN+SxiEmfAPuAALA6qMPRk/QOwH+IW0VH30rw6arEYsCvmftoGfwruYv7mY1Ay7TBOdty//bHJFsgsG31Q/Cw==", "requires": { + "@axa-fr/oidc-client": "7.6.0", + "@axa-fr/oidc-client-service-worker": "7.6.0", "base64-js": "1.5.1" } }, diff --git a/production/webapp/package.json b/production/webapp/package.json index acaaf018..57f5be90 100644 --- a/production/webapp/package.json +++ b/production/webapp/package.json @@ -3,7 +3,7 @@ "version": "1.0.0", "private": true, "dependencies": { - "@axa-fr/react-oidc": "6.19.2", + "@axa-fr/react-oidc": "7.6.0", "cuid": "3.0.0", "react": "^18.2.0", "react-dom": "^18.2.0", diff --git a/pyproject.toml b/pyproject.toml index 49ff855c..d4fcfab8 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,3 +1,14 @@ -[tool.black] -max-complexity = 10 -line-length = 122 \ No newline at end of file +[tool.poetry] +name = "mlopspython" +version = "0.0.0" +description = "" +authors = ["Guillaume Chervet "] +readme = "README.md" + +[tool.poetry.dependencies] +black = "23.1.0" + + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/train/Pipfile b/train/Pipfile deleted file mode 100644 index d5f83fb2..00000000 --- a/train/Pipfile +++ /dev/null @@ -1,14 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[packages] -azure-ai-ml = "==1.4.0" -mldesigner = "==0.1.0b11" -"azure.identity" = "==1.12.0" - -[dev-packages] - -[requires] -python_version = "3.11" diff --git a/train/Pipfile.lock b/train/Pipfile.lock deleted file mode 100644 index 9c230968..00000000 --- a/train/Pipfile.lock +++ /dev/null @@ -1,567 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "d3ca5ebd67769ee55ccdfaa980649e3e763b41b335ed5e5f7a578fb08bb4ff3d" - }, - "pipfile-spec": 6, - "requires": 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not work - credential = InteractiveBrowserCredential() - - -# Get a handle to workspace -ml_client = MLClient( - credential=credential, - subscription_id="3e2cd7cf-84d7-4be2-b701-4ae5779a7fc9", - resource_group_name="cats-dogs-others-resource", - workspace_name="cats-dogs-others" -) - -# Retrieve an already attached Azure Machine Learning Compute. -cluster_name = "teacher-cpu-low" - -cluster_basic = AmlCompute( - name=cluster_name, - type="amlcompute", - size="Standard_D4s_v3", - location="northeurope", #az account list-locations -o table - min_instances=0, - max_instances=1, - idle_time_before_scale_down=60, -) -ml_client.begin_create_or_update(cluster_basic).result() - -custom_path = "azureml://datastores/workspaceblobstore/paths/custom_path/${{name}}/" - -# define a pipeline with component -@pipeline(default_compute=cluster_name) -def pipeline_with_python_function_components(input_data, test_data, learning_rate): - """E2E dummy train-score-eval pipeline with components defined via python function components""" - - # Call component obj as function: apply given inputs & parameters to create a node in pipeline - train_with_sample_data = train_model( - training_data=input_data, max_epochs=5, learning_rate=learning_rate - ) - score_with_sample_data = score_data( - model_input=train_with_sample_data.outputs.model_output, test_data=test_data - ) - # example how to change path of output on step level, - # please note if the output is promoted to pipeline level you need to change path in pipeline job level - score_with_sample_data.outputs.score_output = Output( - type="uri_folder", mode="rw_mount", path=custom_path - ) - eval_with_sample_data = eval_model( - scoring_result=score_with_sample_data.outputs.score_output - ) - - # Return: pipeline outputs - return { - "eval_output": eval_with_sample_data.outputs.eval_output, - "model_output": train_with_sample_data.outputs.model_output, - } - - -pipeline_job = pipeline_with_python_function_components( - input_data=Input( - path="wasbs://demo@dprepdata.blob.core.windows.net/Titanic.csv", type="uri_file" - ), - test_data=Input( - path="wasbs://demo@dprepdata.blob.core.windows.net/Titanic.csv", type="uri_file" - ), - learning_rate=0.1, -) -# example how to change path of output on pipeline level -pipeline_job.outputs.model_output = Output( - type="uri_folder", mode="rw_mount", path=custom_path -) - -pipeline_job = ml_client.jobs.create_or_update( - pipeline_job, experiment_name="pipeline_samples" -) - -# Wait until the job completes -ml_client.jobs.stream(pipeline_job.name) \ No newline at end of file diff --git a/train/azureml_run_pipeline.py b/train/azureml_run_pipeline.py index 582b05cb..ff3dc037 100644 --- a/train/azureml_run_pipeline.py +++ b/train/azureml_run_pipeline.py @@ -1,20 +1,28 @@ +import argparse + from azure.identity import DefaultAzureCredential, InteractiveBrowserCredential -from azure.ai.ml import MLClient, Input, Output +from azure.ai.ml import MLClient, Input, Output, load_component from azure.ai.ml.dsl import pipeline from azure.ai.ml.entities import Model from azure.ai.ml.constants import AssetTypes from azure.ai.ml.entities import Data from azure.ai.ml.entities import AmlCompute -from extraction.azureml_step import extraction_step -from label_split_data.azureml_step import label_split_data_step -from train.azureml_step import train_step -from evaluate.azureml_step import evaluate_step import uuid import json +parser = argparse.ArgumentParser("train") +parser.add_argument("--subscription_id", type=str) +parser.add_argument("--resource_group_name", type=str) +parser.add_argument("--workspace_name", type=str) + +args = parser.parse_args() +subscription_id = args.subscription_id +resource_group_name = args.resource_group_name +workspace_name = args.workspace_name + URI_FOLDER = "uri_folder" try: @@ -27,12 +35,13 @@ credential = InteractiveBrowserCredential() + # Get a handle to workspace ml_client = MLClient( credential=credential, - subscription_id="9d42c9d4-85ab-429d-afb4-4d77f309078c", - resource_group_name="azure-ml", - workspace_name="cats-dogs", + subscription_id=subscription_id, + resource_group_name=resource_group_name, + workspace_name=workspace_name, ) # Retrieve an already attached Azure Machine Learning Compute. @@ -51,24 +60,28 @@ @pipeline(default_compute=cluster_name) -def azureml_pipeline(pdfs_input_data, labels_input_data): +def azureml_pipeline(pdfs_input_data: Input(type=URI_FOLDER), + labels_input_data: Input(type=URI_FOLDER)): + extraction_step = load_component(source="extraction/command.yaml") extraction = extraction_step( pdfs_input=pdfs_input_data ) - label_split_data = label_split_data_step( - images_input=extraction.outputs.images_output, - labels_input=labels_input_data) + label_split_data_step = load_component(source="label_split_data/command.yaml") + label_split_data = label_split_data_step(labels_input=labels_input_data, + images_input=extraction.outputs.images_output) + train_step = load_component(source="train/command.yaml") train_data = train_step( split_images_input=label_split_data.outputs.split_images_output) - evaluate_data = evaluate_step(model_input=train_data.outputs.model_output, + test_step = load_component(source="test/command.yaml") + test_data = test_step(model_input=train_data.outputs.model_output, images_input=label_split_data.outputs.split_images_output) return { - "model_output": evaluate_data.outputs.model_output, - "integration_output": evaluate_data.outputs.integration_output, + "model_output": test_data.outputs.model_output, + "integration_output": test_data.outputs.integration_output, } @@ -77,18 +90,18 @@ def azureml_pipeline(pdfs_input_data, labels_input_data): path="azureml:cats_dogs_others:1", type=URI_FOLDER ), labels_input_data=Input( - path="azureml:cats_dogs_others_labels:2", type=URI_FOLDER + path="azureml:cats_dogs_others_labels:1", type=URI_FOLDER ) ) azure_blob = "azureml://datastores/workspaceblobstore/paths/" -experience_id = str(uuid.uuid4()) -custom_model_path = azure_blob + "models/cats-dogs-others/" + experience_id + "/" +experiment_id = str(uuid.uuid4()) +custom_model_path = azure_blob + "models/cats-dogs-others/" + experiment_id + "/" pipeline_job.outputs.model_output = Output( type=URI_FOLDER, mode="rw_mount", path=custom_model_path ) -custom_integration_path = azure_blob + "/integration/cats-dogs-others/" + experience_id + "/" +custom_integration_path = azure_blob + "/integration/cats-dogs-others/" + experiment_id + "/" pipeline_job.outputs.integration_output = Output( type=URI_FOLDER, mode="rw_mount", path=custom_integration_path ) @@ -99,10 +112,18 @@ def azureml_pipeline(pdfs_input_data, labels_input_data): ml_client.jobs.stream(pipeline_job.name) + +model_name = "cats-dogs-others" +try: + model_version = str(len(list(ml_client.models.list(model_name))) + 1) +except: + model_version = "1" + file_model = Model( + version=model_version, path=custom_model_path, type=AssetTypes.CUSTOM_MODEL, - name="cats-dogs-others", + name=model_name, description="Model created from azureML.", ) saved_model = ml_client.models.create_or_update(file_model) @@ -125,7 +146,8 @@ def azureml_pipeline(pdfs_input_data, labels_input_data): "model_version": saved_model.version, "model_name": saved_model.name, "integration_dataset_name": integration_dataset.name, - "integration_dataset_version": integration_dataset.version + "integration_dataset_version": integration_dataset.version, + "experiment_id": experiment_id, } print(json.dumps(output_data)) \ No newline at end of file diff --git a/train/azureml_run_test.py b/train/azureml_run_test.py deleted file mode 100644 index 32a2d1be..00000000 --- a/train/azureml_run_test.py +++ /dev/null @@ -1,14 +0,0 @@ -import json - -print( - f"Dataset with name was registered to workspace, the dataset version is " -) - -output_data = { - "model_version": 3, - "model_name": "youhou", - "integration_dataset_name": "3", - "integration_dataset_version": "youhou" -} - -print(json.dumps(output_data)) \ No newline at end of file diff --git a/train/dumb/components.py b/train/dumb/components.py deleted file mode 100644 index d17c4f5d..00000000 --- a/train/dumb/components.py +++ /dev/null @@ -1,94 +0,0 @@ -from pathlib import Path -from uuid import uuid4 - -# mldesigner package contains the command_component which can be used to define component from a python function -from mldesigner import command_component, Input, Output - -URI_FILE = "uri_file" - -URI_FOLDER = "uri_folder" - - -@command_component() -def train_model( - training_data: Input(type=URI_FILE), - max_epochs: int, - model_output: Output(type=URI_FOLDER), - learning_rate=0.02, -): - """A dummy train component. - - Args: - training_data: a file contains training data - max_epochs: max epochs - learning_rate: learning rate - model_output: target folder to save model output - """ - - lines = [ - f"Training data path: {training_data}", - f"Max epochs: {max_epochs}", - f"Learning rate: {learning_rate}", - f"Model output path: {model_output}", - ] - - for line in lines: - print(line) - - # Do the train and save the trained model as a file into the output folder. - # Here only output a dummy data for demo. - model = str(uuid4()) - (Path(model_output) / "model").write_text(model) - - -@command_component( - display_name="Score", - # init customer environment with conda YAML - # the YAML file shall be put under your code folder. - environment="./environment.conda.yaml", - # specify your code folder, default code folder is current file's parent - # code='.' -) -def score_data( - model_input: Input(type=URI_FOLDER), - test_data: Input(type=URI_FILE), - score_output: Output(type=URI_FOLDER), -): - """A dummy score component.""" - - lines = [ - f"Model path: {model_input}", - f"Test data path: {test_data}", - f"Scoring output path: {score_output}", - ] - - for line in lines: - print(line) - - # Load the model from input port - # Here only print the model as text since it is a dummy one - model = (Path(model_input) / "model").read_text() - print("Model:", model) - - # Do scoring with the input model - # Here only print text to output file as demo - (Path(score_output) / "score").write_text("scored with {}".format(model)) - - -@command_component(display_name="Evaluate", environment="./environment.conda.yaml") -def eval_model( - scoring_result: Input(type=URI_FOLDER), eval_output: Output(type=URI_FOLDER) -): - """A dummy evaluate component.""" - - lines = [ - f"Scoring result path: {scoring_result}", - f"Evaluation output path: {eval_output}", - ] - - for line in lines: - print(line) - - # Evaluate the incoming scoring result and output evaluation result. - # Here only output a dummy file for demo. - (Path(eval_output) / "eval_result").write_text("eval_result") diff --git a/train/dumb/environment.conda.yaml b/train/dumb/environment.conda.yaml deleted file mode 100644 index 28526930..00000000 --- a/train/dumb/environment.conda.yaml +++ /dev/null @@ -1,11 +0,0 @@ -image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04 -name: mldesigner_environment -conda_file: - name: default_environment - channels: - - defaults - dependencies: - - python=3.8.12 - - pip=21.2.2 - - pip: - - mldesigner==0.1.0b4 \ No newline at end of file diff --git a/train/evaluate/Pipfile b/train/evaluate/Pipfile deleted file mode 100644 index ea777da6..00000000 --- a/train/evaluate/Pipfile +++ /dev/null @@ -1,16 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[packages] -matplotlib = "==3.7.1" -scipy = "*" -mlopspython-inference = {file = "./packages/mlopspython_inference-0.0.0-py3-none-any.whl"} - -[dev-packages] -coverage = "===7.1.0" - -[requires] -python_version = "3.11" -python_full_version = "3.11.1" \ No newline at end of file diff --git a/train/evaluate/Pipfile.lock b/train/evaluate/Pipfile.lock deleted file mode 100644 index fd3dd735..00000000 --- a/train/evaluate/Pipfile.lock +++ /dev/null @@ -1,1116 +0,0 @@ -{ - 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model_output: Output(type=URI_FOLDER), - integration_output: Output(type=URI_FOLDER), -): - from evaluate import evaluate - import mlflow - - statistics = evaluate(logging, Path(model_input), Path(images_input), - Path(model_output), Path(integration_output)) - - mlflow.log_metric("ok", statistics["ok"]) - mlflow.log_metric("ko", statistics["ko"]) - mlflow.log_metric("total", statistics["total"]) - - diff --git a/train/evaluate/environment.conda.yaml b/train/evaluate/environment.conda.yaml deleted file mode 100644 index 8f1b848e..00000000 --- a/train/evaluate/environment.conda.yaml +++ /dev/null @@ -1,23 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. - -image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04 -name: label_split_data_environment -conda_file: - name: default_environment - channels: - - defaults - dependencies: - - python=3.10 - #- pip=22.3.1 - - pip: - - mldesigner==0.1.0b4 - - matplotlib - - keras - - numpy - - tensorflow - - scipy - - opencv-contrib-python-headless==4.7.0.68 - - mlflow - - azureml-mlflow - - ./packages/mlopspython_inference-0.0.0-py3-none-any.whl \ No newline at end of file diff --git a/train/extraction/.amlignore b/train/extraction/.amlignore new file mode 100644 index 00000000..2144a7dd --- /dev/null +++ b/train/extraction/.amlignore @@ -0,0 +1,8 @@ +/tests +/dataset-cats-dogs-others +*.sh +*.yml +*.yaml +*.ipynb +*.lock +*.toml diff --git a/train/extraction/.dockerignore b/train/extraction/.dockerignore new file mode 100644 index 00000000..b2e6ed3d --- /dev/null +++ b/train/extraction/.dockerignore @@ -0,0 +1,5 @@ +/tests +/dataset-cats-dogs-others +*.ipynb +*.lock +*.toml diff --git a/train/extraction/Dockerfile b/train/extraction/Dockerfile new file mode 100644 index 00000000..0049209b --- /dev/null +++ b/train/extraction/Dockerfile @@ -0,0 +1,7 @@ +FROM python:3.10.13 +COPY requirements.txt ./ +RUN mkdir packages +COPY packages/ packages/ +RUN pip install --upgrade pip +RUN pip install -r requirements.txt --no-cache-dir +CMD ["bash"] diff --git a/train/extraction/Pipfile b/train/extraction/Pipfile deleted file mode 100644 index 530b20c3..00000000 --- a/train/extraction/Pipfile +++ /dev/null @@ -1,14 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[packages] -mlopspython-extraction = {file = "./packages/mlopspython_extraction-0.0.0-py3-none-any.whl"} - -[dev-packages] -coverage = "===7.1.0" - -[requires] -python_version = "3.11" -python_full_version = "3.11.1" diff --git a/train/extraction/Pipfile.lock b/train/extraction/Pipfile.lock deleted file mode 100644 index 91734d3e..00000000 --- a/train/extraction/Pipfile.lock +++ /dev/null @@ -1,123 +0,0 @@ -{ - "_meta": { - "hash": { - "sha256": "e0b596f92b4aec367c9558c79ece3244f9fd46f69cc2b25f2d2e011b981709f9" - }, - "pipfile-spec": 6, - "requires": { - "python_full_version": "3.11.1", - "python_version": "3.11" - }, - "sources": [ - { - "name": "pypi", - "url": 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b/train/extraction/azureml_step.py deleted file mode 100644 index 8a5fb6b6..00000000 --- a/train/extraction/azureml_step.py +++ /dev/null @@ -1,20 +0,0 @@ -# mldesigner package contains the command_component which can be used to define component from a python function -from mldesigner import command_component, Input, Output - -URI_FOLDER = "uri_folder" - - -@command_component( - display_name="Extraction", - environment="./environment.conda.yaml", -) -def extraction_step( - pdfs_input: Input(type=URI_FOLDER), - images_output: Output(type=URI_FOLDER), -): - from mlopspython_extraction.extraction import extract_images - import mlflow - - result = extract_images(pdfs_input, images_output) - mlflow.log_metric("number_files_input", result.number_files_input) - mlflow.log_metric("number_images_output", result.number_images_output) diff --git a/train/extraction/command.py b/train/extraction/command.py new file mode 100644 index 00000000..8117ff6f --- /dev/null +++ b/train/extraction/command.py @@ -0,0 +1,15 @@ +import argparse +from mlopspython_extraction.extraction import extract_images +import mlflow + +parser = argparse.ArgumentParser("extraction") +parser.add_argument("--pdfs_input", type=str) +parser.add_argument("--images_output", type=str) + +args = parser.parse_args() +pdfs_input = args.pdfs_input +images_output = args.images_output + +result = extract_images(pdfs_input, images_output) +mlflow.log_metric("number_files_input", result.number_files_input) +mlflow.log_metric("number_images_output", result.number_images_output) \ No newline at end of file diff --git a/train/extraction/command.yaml b/train/extraction/command.yaml new file mode 100644 index 00000000..e939649e --- /dev/null +++ b/train/extraction/command.yaml @@ -0,0 +1,29 @@ + +$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json +type: command + +name: extraction +display_name: Extraction +description: Extract images from pdfs +version: 0.0.1 +is_deterministic: true + +inputs: + pdfs_input: + type: uri_folder + +outputs: + images_output: + type: uri_folder + +environment: + name: extraction_environment + build: + path: ./ + +code: ./ +command: >- + python command.py + --pdfs_input ${{inputs.pdfs_input}} + --images_output ${{outputs.images_output}} + diff --git a/train/extraction/dataset-cats-dogs-others.yml b/train/extraction/dataset-cats-dogs-others.yml index 0d9f5f4b..b96cca2a 100644 --- a/train/extraction/dataset-cats-dogs-others.yml +++ b/train/extraction/dataset-cats-dogs-others.yml @@ -11,3 +11,4 @@ name: cats_dogs_others description: Cats Dogs and Others path: ./dataset-cats-dogs-others + diff --git a/train/extraction/environment.conda.yaml b/train/extraction/environment.conda.yaml deleted file mode 100644 index 2f60fb38..00000000 --- a/train/extraction/environment.conda.yaml +++ /dev/null @@ -1,18 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. - -image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04 -name: extraction_environment -conda_file: - name: default_environment - channels: - - defaults - dependencies: - - python=3.10 - #- pip=22.3.1 - - pip: - - mldesigner==0.1.0b4 - - pymupdf===1.21.1 - - mlflow - - azureml-mlflow - - ./packages/mlopspython_extraction-0.0.0-py3-none-any.whl \ No newline at end of file diff --git a/train/extraction/init_dataset.sh b/train/extraction/init_dataset.sh new file mode 100644 index 00000000..3163af08 --- /dev/null +++ b/train/extraction/init_dataset.sh @@ -0,0 +1,19 @@ +resource_group=$1 +workspace_name=$2 +dataset_name=cats_dogs_others +dataset_version=1 + +echo "Init pdf dataset" + +RESULT=$(az ml data show --resource-group $resource_group --workspace-name $workspace_name --version $dataset_version --name $dataset_name > /dev/null 2>&1; echo $?) +if [ $RESULT -eq 0 ]; then + echo "Dataset already exist" +else + echo "Dataset not found so create it" + git clone https://github.com/guillaume-chervet/dataset-cats-dogs-others.git + rm -rf 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b/train/extraction/pyproject.toml new file mode 100644 index 00000000..27f5173b --- /dev/null +++ b/train/extraction/pyproject.toml @@ -0,0 +1,19 @@ +[tool.poetry] +name = "mlopspython_train_extraction" +version = "0.0.0" +description = "" +authors = ["Guillaume Chervet "] + +[tool.poetry.dependencies] +python = "~3.10" +pymupdf = "1.23.3" +mlopspython-extraction = {path = "./packages/mlopspython_extraction-0.0.0-py3-none-any.whl"} +mldesigner = "0.1.0b15" +mlflow = "2.7.1" +azureml-mlflow = "1.53.0" +azure-ai-ml = "1.10.1" + + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/train/extraction/requirements.txt b/train/extraction/requirements.txt new file mode 100644 index 00000000..3d3a2759 --- /dev/null +++ b/train/extraction/requirements.txt @@ -0,0 +1,107 @@ +alembic==1.12.0 ; python_version >= "3.10" and python_version < "3.11" +attrs==23.1.0 ; python_version >= "3.10" and python_version < "3.11" +azure-ai-ml==1.10.1 ; python_version >= "3.10" and python_version < "3.11" +azure-common==1.1.28 ; python_version >= "3.10" and python_version < "3.11" +azure-core==1.29.4 ; python_version >= "3.10" and python_version < "3.11" +azure-identity==1.14.0 ; python_version >= "3.10" and python_version < "3.11" +azure-mgmt-core==1.4.0 ; python_version >= "3.10" and python_version < "3.11" +azure-storage-blob==12.13.0 ; python_version >= "3.10" and python_version < "3.11" +azure-storage-file-datalake==12.8.0 ; python_version >= "3.10" and python_version < "3.11" +azure-storage-file-share==12.14.1 ; python_version >= "3.10" and python_version < "3.11" +azureml-mlflow==1.53.0 ; python_version >= "3.10" and python_version < "3.11" +blinker==1.6.2 ; python_version >= "3.10" and python_version < "3.11" +cachetools==5.3.1 ; python_version >= "3.10" and python_version < "3.11" +certifi==2023.7.22 ; python_version >= "3.10" and python_version < "3.11" +cffi==1.15.1 ; python_version >= "3.10" and python_version < "3.11" +charset-normalizer==3.2.0 ; python_version >= "3.10" and python_version < "3.11" +click==8.1.7 ; python_version >= "3.10" and python_version < "3.11" +cloudpickle==2.2.1 ; python_version >= "3.10" and python_version < "3.11" +colorama==0.4.6 ; python_version >= "3.10" and python_version < "3.11" +contourpy==1.1.1 ; python_version >= "3.10" and python_version < "3.11" +cryptography==41.0.4 ; python_version >= "3.10" and python_version < "3.11" +cycler==0.11.0 ; python_version >= "3.10" and python_version < "3.11" +databricks-cli==0.17.8 ; python_version >= "3.10" and python_version < "3.11" +docker==6.1.3 ; python_version >= "3.10" and python_version < "3.11" +entrypoints==0.4 ; python_version >= "3.10" and python_version < "3.11" +flask==2.3.3 ; python_version >= "3.10" and python_version < "3.11" +fonttools==4.42.1 ; python_version >= "3.10" and python_version < "3.11" +gitdb==4.0.10 ; python_version >= "3.10" and python_version < "3.11" +gitpython==3.1.37 ; python_version >= "3.10" and python_version < "3.11" +google-api-core==2.12.0 ; python_version >= "3.10" and python_version < "3.11" +google-auth==2.23.0 ; python_version >= "3.10" and python_version < "3.11" +googleapis-common-protos==1.60.0 ; python_version >= "3.10" and python_version < "3.11" +greenlet==2.0.2 ; python_version >= "3.10" and python_version < "3.11" and (platform_machine == "aarch64" or platform_machine == "ppc64le" or platform_machine == "x86_64" or platform_machine == "amd64" or platform_machine == "AMD64" or platform_machine == "win32" or platform_machine == "WIN32") +gunicorn==21.2.0 ; python_version >= "3.10" and python_version < "3.11" and platform_system != "Windows" +idna==3.4 ; python_version >= "3.10" and python_version < "3.11" +importlib-metadata==6.8.0 ; python_version >= "3.10" and python_version < "3.11" +isodate==0.6.1 ; python_version >= "3.10" and python_version < "3.11" +itsdangerous==2.1.2 ; python_version >= "3.10" and python_version < "3.11" +jinja2==3.1.2 ; python_version >= "3.10" and python_version < "3.11" +joblib==1.3.2 ; python_version >= "3.10" and python_version < "3.11" +jsonpickle==3.0.2 ; python_version >= "3.10" and python_version < "3.11" +jsonschema-specifications==2023.7.1 ; python_version >= "3.10" and python_version < "3.11" +jsonschema==4.19.1 ; python_version >= "3.10" and python_version < "3.11" +kiwisolver==1.4.5 ; python_version >= "3.10" and python_version < "3.11" +mako==1.2.4 ; python_version >= "3.10" and python_version < "3.11" +markdown==3.4.4 ; python_version >= "3.10" and python_version < "3.11" +markupsafe==2.1.3 ; python_version >= "3.10" and python_version < "3.11" +marshmallow==3.20.1 ; python_version >= "3.10" and python_version < "3.11" +matplotlib==3.8.0 ; python_version >= "3.10" and python_version < "3.11" +mldesigner==0.1.0b15 ; python_version >= "3.10" and python_version < "3.11" +mlflow-skinny==2.7.1 ; python_version >= "3.10" and python_version < "3.11" +mlflow==2.7.1 ; python_version >= "3.10" and python_version < "3.11" +./packages/mlopspython_extraction-0.0.0-py3-none-any.whl ; python_version >= "3.10" and python_version < "3.11" +msal-extensions==1.0.0 ; python_version >= "3.10" and python_version < "3.11" +msal==1.24.0 ; python_version >= "3.10" and python_version < "3.11" +msrest==0.7.1 ; python_version >= "3.10" and python_version < "3.11" +numpy==1.26.0 ; python_version >= "3.10" and python_version < "3.11" +oauthlib==3.2.2 ; python_version >= "3.10" and python_version < "3.11" +opencensus-context==0.1.3 ; python_version >= "3.10" and python_version < "3.11" +opencensus-ext-azure==1.1.10 ; python_version >= "3.10" and python_version < "3.11" +opencensus==0.11.3 ; python_version >= "3.10" and python_version < "3.11" +packaging==23.1 ; python_version >= "3.10" and python_version < "3.11" +pandas==2.1.1 ; python_version >= "3.10" and python_version < "3.11" +pillow==10.0.1 ; python_version >= "3.10" and python_version < "3.11" +portalocker==2.8.2 ; python_version >= "3.10" and python_version < "3.11" +protobuf==4.24.3 ; python_version >= "3.10" and python_version < "3.11" +psutil==5.9.5 ; python_version >= "3.10" and python_version < "3.11" +pyarrow==13.0.0 ; python_version >= "3.10" and python_version < "3.11" +pyasn1-modules==0.3.0 ; python_version >= "3.10" and python_version < "3.11" +pyasn1==0.5.0 ; python_version >= "3.10" and python_version < "3.11" +pycparser==2.21 ; python_version >= "3.10" and python_version < "3.11" +pydash==5.1.2 ; python_version >= "3.10" and python_version < "3.11" +pyjwt==2.8.0 ; python_version >= "3.10" and python_version < "3.11" +pyjwt[crypto]==2.8.0 ; python_version >= "3.10" and python_version < "3.11" +pymupdf==1.23.3 ; python_version >= "3.10" and python_version < "3.11" +pymupdfb==1.23.3 ; python_version >= "3.10" and python_version < "3.11" +pyparsing==3.1.1 ; python_version >= "3.10" and python_version < "3.11" +python-dateutil==2.8.2 ; python_version >= "3.10" and python_version < "3.11" +pytz==2023.3.post1 ; python_version >= "3.10" and python_version < "3.11" +pywin32==306 ; python_version >= "3.10" and python_version < "3.11" and (sys_platform == "win32" or platform_system == "Windows") +pyyaml==6.0.1 ; python_version >= "3.10" and python_version < "3.11" +querystring-parser==1.2.4 ; python_version >= "3.10" and python_version < "3.11" +referencing==0.30.2 ; python_version >= "3.10" and python_version < "3.11" +requests-oauthlib==1.3.1 ; python_version >= "3.10" and python_version < "3.11" +requests==2.31.0 ; python_version >= "3.10" and python_version < "3.11" +rpds-py==0.10.3 ; python_version >= "3.10" and python_version < "3.11" +rsa==4.9 ; python_version >= "3.10" and python_version < "3.11" +scikit-learn==1.3.1 ; python_version >= "3.10" and python_version < "3.11" +scipy==1.11.2 ; python_version >= "3.10" and python_version < "3.11" +setuptools-scm==8.0.3 ; python_version >= "3.10" and python_version < "3.11" +setuptools==68.2.2 ; python_version >= "3.10" and python_version < "3.11" +six==1.16.0 ; python_version >= "3.10" and python_version < "3.11" +smmap==5.0.1 ; python_version >= "3.10" and python_version < "3.11" +sqlalchemy==2.0.21 ; python_version >= "3.10" and python_version < "3.11" +sqlparse==0.4.4 ; python_version >= "3.10" and python_version < "3.11" +strictyaml==1.7.3 ; python_version >= "3.10" and python_version < "3.11" +tabulate==0.9.0 ; python_version >= "3.10" and python_version < "3.11" +threadpoolctl==3.2.0 ; python_version >= "3.10" and python_version < "3.11" +tomli==2.0.1 ; python_version >= "3.10" and python_version < "3.11" +tqdm==4.66.1 ; python_version >= "3.10" and python_version < "3.11" +typing-extensions==4.8.0 ; python_version >= "3.10" and python_version < "3.11" +tzdata==2023.3 ; python_version >= "3.10" and python_version < "3.11" +urllib3==1.26.16 ; python_version >= "3.10" and python_version < "3.11" +waitress==2.1.2 ; python_version >= "3.10" and python_version < "3.11" and platform_system == "Windows" +websocket-client==1.6.3 ; python_version >= "3.10" and python_version < "3.11" +werkzeug==2.3.7 ; python_version >= "3.10" and python_version < "3.11" +zipp==3.17.0 ; python_version >= "3.10" and python_version < "3.11" diff --git a/train/label_split_data/.amlignore b/train/label_split_data/.amlignore new file mode 100644 index 00000000..abe2ba1d --- /dev/null +++ b/train/label_split_data/.amlignore @@ -0,0 +1,8 @@ +/tests +/dataset-cats-dogs-others-labels +*.sh +*.yml +*.yaml +*.ipynb +*.lock +*.toml diff --git a/train/label_split_data/.dockerignore b/train/label_split_data/.dockerignore new file mode 100644 index 00000000..643807a4 --- /dev/null +++ b/train/label_split_data/.dockerignore @@ -0,0 +1,5 @@ +/tests +/dataset-cats-dogs-others-labels +*.ipynb +*.lock +*.toml diff --git a/train/label_split_data/.gitignore b/train/label_split_data/.gitignore index 9f11b755..61bf18a8 100644 --- a/train/label_split_data/.gitignore +++ b/train/label_split_data/.gitignore @@ -1 +1,2 @@ .idea/ +dataset-cats-dogs-others-labels/ \ No newline at end of file diff --git a/train/label_split_data/Dockerfile b/train/label_split_data/Dockerfile new file mode 100644 index 00000000..791d4aca --- /dev/null +++ b/train/label_split_data/Dockerfile @@ -0,0 +1,5 @@ +FROM python:3.10.13 +COPY requirements.txt ./ +RUN pip install --upgrade pip +RUN pip install -r requirements.txt --no-cache-dir +CMD ["bash"] diff --git a/train/label_split_data/Pipfile b/train/label_split_data/Pipfile deleted file mode 100644 index 7a99f7ca..00000000 --- a/train/label_split_data/Pipfile +++ /dev/null @@ -1,14 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[packages] -numpy = "===1.24.0" - -[dev-packages] -coverage = "===7.1.0" - -[requires] -python_version = "3.11" -python_full_version = "3.11.1" diff --git a/train/label_split_data/Pipfile.lock b/train/label_split_data/Pipfile.lock deleted file mode 100644 index 9e2910c0..00000000 --- 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1987456f..00000000 --- a/train/label_split_data/azureml_step.py +++ /dev/null @@ -1,40 +0,0 @@ -from pathlib import Path - -from mldesigner import command_component, Input, Output - -URI_FOLDER = "uri_folder" - - -@command_component( - display_name="Label Split Data", - environment="./environment.conda.yaml", -) -def label_split_data_step( - labels_input: Input(type=URI_FOLDER), - images_input: Input(type=URI_FOLDER), - split_images_output: Output(type=URI_FOLDER), -): - from label_split_data import label_split_data - import mlflow - - number_file_by_label = 3200 - ratio_train: float = 0.7 - ratio_test: float = 0.2 - - params = { - "number_file_by_label": number_file_by_label, - "ratio_train": ratio_train, - "ratio_test": ratio_test - } - - mlflow.log_params(params) - labels_files_path = Path(labels_input) / "cats_dogs_others_classification-annotations.json" - label_split_data_result = label_split_data(labels_files_path, - Path(images_input), - Path(split_images_output), - number_file_by_label, - ratio_train, - ratio_test) - mlflow.log_metric("number_file_train_by_label", label_split_data_result.number_file_train_by_label) - mlflow.log_metric("number_file_test_by_label", label_split_data_result.number_file_test_by_label) - mlflow.log_metric("number_file_evaluate_by_label", label_split_data_result.number_file_evaluate_by_label) diff --git a/train/label_split_data/command.py b/train/label_split_data/command.py new file mode 100644 index 00000000..1e8735e5 --- /dev/null +++ b/train/label_split_data/command.py @@ -0,0 +1,35 @@ +import argparse +from pathlib import Path +import mlflow +from label_split_data import label_split_data + +parser = argparse.ArgumentParser("label_split_data") +parser.add_argument("--labels_input", type=str) +parser.add_argument("--images_input", type=str) +parser.add_argument("--split_images_output", type=str) + +# Get arguments from parser +args = parser.parse_args() +labels_input = args.labels_input +images_input = args.images_input +split_images_output = args.split_images_output + +number_file_by_label = 100 +ratio_train: float = 0.7 +ratio_test: float = 0.2 + +params = {"number_file_by_label": number_file_by_label, "ratio_train": ratio_train, "ratio_test": ratio_test} + +mlflow.log_params(params) +labels_files_path = Path(labels_input) / "cats_dogs_others_classification-annotations.json" +label_split_data_result = label_split_data( + labels_files_path, + Path(images_input), + Path(split_images_output), + number_file_by_label, + ratio_train, + ratio_test, +) +mlflow.log_metric("number_file_train_by_label", label_split_data_result.number_file_train_by_label) +mlflow.log_metric("number_file_test_by_label", label_split_data_result.number_file_test_by_label) +mlflow.log_metric("number_file_evaluate_by_label", label_split_data_result.number_file_evaluate_by_label) diff --git a/train/label_split_data/command.yaml b/train/label_split_data/command.yaml new file mode 100644 index 00000000..1e7ce486 --- /dev/null +++ b/train/label_split_data/command.yaml @@ -0,0 +1,32 @@ + +$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json +type: command + +name: label_split_data +display_name: Label Split Data +description: Split data into train and test sets +version: 0.0.1 +is_deterministic: true + +inputs: + labels_input: + type: uri_folder + images_input: + type: uri_folder + +outputs: + split_images_output: + type: uri_folder + +environment: + name: label_split_data_environment + build: + path: ./ + +code: ./ +command: >- + python command.py + --labels_input ${{inputs.labels_input}} + --images_input ${{inputs.images_input}} + --split_images_output ${{outputs.split_images_output}} + diff --git a/train/label_split_data/dataset-cats-dogs-others-labels.yml b/train/label_split_data/dataset-cats-dogs-others-labels.yml new file mode 100644 index 00000000..f862650c --- /dev/null +++ b/train/label_split_data/dataset-cats-dogs-others-labels.yml @@ -0,0 +1,14 @@ + +$schema: https://azuremlschemas.azureedge.net/latest/data.schema.json + +# Supported paths include: +# local: ./ +# blob: https://.blob.core.windows.net// +# ADLS gen2: abfss://@.dfs.core.windows.net// +# Datastore: azureml://datastores//paths/ +type: uri_folder +name: cats_dogs_others_labels +description: Cats Dogs and Others Labels +path: ./dataset-cats-dogs-others-labels + + diff --git a/train/label_split_data/environment.conda.yaml b/train/label_split_data/environment.conda.yaml deleted file mode 100644 index ac78c7cc..00000000 --- a/train/label_split_data/environment.conda.yaml +++ /dev/null @@ -1,17 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. - -image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04 -name: label_split_data_environment -conda_file: - name: default_environment - channels: - - defaults - dependencies: - - python=3.10 - #- pip=22.3.1 - - pip: - - mldesigner==0.1.0b4 - - numpy==1.21.2 - - mlflow - - azureml-mlflow \ No newline at end of file diff --git a/train/label_split_data/init_dataset.sh b/train/label_split_data/init_dataset.sh new file mode 100644 index 00000000..1ccd42ef --- /dev/null +++ b/train/label_split_data/init_dataset.sh @@ -0,0 +1,19 @@ +resource_group=$1 +workspace_name=$2 +dataset_name=cats_dogs_others_labels +dataset_version=1 + +echo "Init label dataset" + +RESULT=$(az ml data show --resource-group $resource_group --workspace-name $workspace_name --version $dataset_version --name $dataset_name > /dev/null 2>&1; echo $?) +if [ $RESULT -eq 0 ]; then + echo "Dataset already exist" +else + echo "Dataset not found so create it" + git clone https://github.com/guillaume-chervet/dataset-cats-dogs-others-labels + rm -rf dataset-cats-dogs-others-labels/.git + az ml data create -f dataset-cats-dogs-others-labels.yml --resource-group $resource_group --workspace-name $workspace_name + +fi + +echo "Init label dataset done" diff --git a/train/label_split_data/label_split_data.py b/train/label_split_data/label_split_data.py index a6f413dc..64141d0e 100644 --- a/train/label_split_data/label_split_data.py +++ b/train/label_split_data/label_split_data.py @@ -18,11 +18,12 @@ class LabelSplitDataResult: def label_split_data(input_labels_path: Path, input_images_directory: Path, output_directory: Path, - number_file_by_label=3, - ratio_train: float = 0.4, - ratio_test: float = 0.4) -> LabelSplitDataResult: + number_image_by_label=3, + ratio_number_train_image: float = 0.4, + ratio_number_test_image: float = 0.4, + ) -> LabelSplitDataResult: - if ratio_test + ratio_test > 1: + if ratio_number_test_image + ratio_number_test_image > 1: raise Exception("sum of ratio must be inferior or equal to 1") Path(output_directory).mkdir(parents=True, exist_ok=True) @@ -31,19 +32,19 @@ def label_split_data(input_labels_path: Path, split_paths = {"cat": [], "dog": [], "other": []} labels = ["cat", "dog", "other"] - split_directory_names = ["train", "test", "evaluate"] + split_directory_names = ["train", "test", "test"] annotations = label_data["annotations"] for annotation in annotations: filename = annotation["fileName"] label = annotation["annotation"]["label"] - if len(split_paths[label]) < number_file_by_label: + if len(split_paths[label]) < number_image_by_label: split_paths[label].append(filename) - number_file_train = int(number_file_by_label * ratio_train) - number_file_test = int(number_file_by_label * ratio_test) + number_file_train = int(number_image_by_label * ratio_number_train_image) + number_file_test = int(number_image_by_label * ratio_number_test_image) path_results = [] for label in labels: - if number_file_by_label != len(split_paths[label]): + if number_image_by_label != len(split_paths[label]): raise Exception("Not enough files for label " + label) splitted = np.split(split_paths[label], [number_file_train, number_file_test + number_file_train]) @@ -61,6 +62,6 @@ def label_split_data(input_labels_path: Path, return 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b/train/label_split_data/pyproject.toml new file mode 100644 index 00000000..36dc17a9 --- /dev/null +++ b/train/label_split_data/pyproject.toml @@ -0,0 +1,19 @@ +[tool.poetry] +name = "label_split_data" +version = "0.0.0" +description = "" +authors = ["Guillaume Chervet "] + +[tool.poetry.dependencies] +python = "~3.10" +mldesigner = "0.1.0b15" +mlflow = "2.7.1" +azureml-mlflow = "1.53.0" +azure-ai-ml = "1.10.1" + +[tool.poetry.group.dev.dependencies] +coverage = "^7.3.1" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" diff --git a/train/label_split_data/requirements.txt b/train/label_split_data/requirements.txt new file mode 100644 index 00000000..206d2caf --- /dev/null +++ b/train/label_split_data/requirements.txt @@ -0,0 +1,104 @@ +alembic==1.12.0 ; python_version >= "3.10" and python_version < "3.11" +attrs==23.1.0 ; python_version >= "3.10" and python_version < "3.11" +azure-ai-ml==1.10.1 ; python_version >= "3.10" and python_version < 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python_version >= "3.10" and python_version < "3.11" +referencing==0.30.2 ; python_version >= "3.10" and python_version < "3.11" +requests-oauthlib==1.3.1 ; python_version >= "3.10" and python_version < "3.11" +requests==2.31.0 ; python_version >= "3.10" and python_version < "3.11" +rpds-py==0.10.3 ; python_version >= "3.10" and python_version < "3.11" +rsa==4.9 ; python_version >= "3.10" and python_version < "3.11" +scikit-learn==1.3.1 ; python_version >= "3.10" and python_version < "3.11" +scipy==1.11.2 ; python_version >= "3.10" and python_version < "3.11" +setuptools-scm==8.0.3 ; python_version >= "3.10" and python_version < "3.11" +setuptools==68.2.2 ; python_version >= "3.10" and python_version < "3.11" +six==1.16.0 ; python_version >= "3.10" and python_version < "3.11" +smmap==5.0.1 ; python_version >= "3.10" and python_version < "3.11" +sqlalchemy==2.0.21 ; python_version >= "3.10" and python_version < "3.11" +sqlparse==0.4.4 ; python_version >= "3.10" and python_version < 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b/train/test/.gitignore similarity index 100% rename from train/evaluate/.gitignore rename to train/test/.gitignore diff --git a/train/test/Dockerfile b/train/test/Dockerfile new file mode 100644 index 00000000..0049209b --- /dev/null +++ b/train/test/Dockerfile @@ -0,0 +1,7 @@ +FROM python:3.10.13 +COPY requirements.txt ./ +RUN mkdir packages +COPY packages/ packages/ +RUN pip install --upgrade pip +RUN pip install -r requirements.txt --no-cache-dir +CMD ["bash"] diff --git a/train/evaluate/__init__.py b/train/test/__init__.py similarity index 100% rename from train/evaluate/__init__.py rename to train/test/__init__.py diff --git a/train/test/command.py b/train/test/command.py new file mode 100644 index 00000000..b32ea842 --- /dev/null +++ b/train/test/command.py @@ -0,0 +1,26 @@ +import argparse +from pathlib import Path +from test import execute_model_and_generate_integration_test_data +import mlflow + +import logging + +parser = argparse.ArgumentParser("test") 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python_version >= "3.10" and python_version < "3.11" +pywin32==306 ; python_version >= "3.10" and python_version < "3.11" and (sys_platform == "win32" or platform_system == "Windows") +pyyaml==6.0.1 ; python_version >= "3.10" and python_version < "3.11" +querystring-parser==1.2.4 ; python_version >= "3.10" and python_version < "3.11" +referencing==0.30.2 ; python_version >= "3.10" and python_version < "3.11" +requests-oauthlib==1.3.1 ; python_version >= "3.10" and python_version < "3.11" +requests==2.31.0 ; python_version >= "3.10" and python_version < "3.11" +rpds-py==0.10.3 ; python_version >= "3.10" and python_version < "3.11" +rsa==4.9 ; python_version >= "3.10" and python_version < "3.11" +scikit-learn==1.3.1 ; python_version >= "3.10" and python_version < "3.11" +scipy==1.11.2 ; python_version >= "3.10" and python_version < "3.11" +setuptools-scm==8.0.3 ; python_version >= "3.10" and python_version < "3.11" +setuptools==68.2.2 ; python_version >= "3.10" and python_version < "3.11" +six==1.16.0 ; python_version >= "3.10" and python_version < "3.11" +smmap==5.0.1 ; python_version >= "3.10" and python_version < "3.11" +sqlalchemy==2.0.21 ; python_version >= "3.10" and python_version < "3.11" +sqlparse==0.4.4 ; python_version >= "3.10" and python_version < "3.11" +strictyaml==1.7.3 ; python_version >= "3.10" and python_version < "3.11" +tabulate==0.9.0 ; python_version >= "3.10" and python_version < "3.11" +tensorboard-data-server==0.7.1 ; python_version >= "3.10" and python_version < "3.11" +tensorboard==2.12.3 ; python_version >= "3.10" and python_version < "3.11" +tensorflow-estimator==2.12.0 ; python_version >= "3.10" and python_version < "3.11" +tensorflow-io-gcs-filesystem==0.27.0 ; python_version >= "3.10" and python_version < "3.11" +tensorflow==2.12.0 ; python_version >= "3.10" and python_version < "3.11" +termcolor==2.3.0 ; python_version >= "3.10" and python_version < "3.11" +threadpoolctl==3.2.0 ; python_version >= "3.10" and python_version < "3.11" +tomli==2.0.1 ; python_version >= "3.10" and python_version < "3.11" +tqdm==4.66.1 ; python_version >= "3.10" and python_version < "3.11" +typing-extensions==4.8.0 ; python_version >= "3.10" and python_version < "3.11" +tzdata==2023.3 ; python_version >= "3.10" and python_version < "3.11" +urllib3==1.26.16 ; python_version >= "3.10" and python_version < "3.11" +waitress==2.1.2 ; python_version >= "3.10" and python_version < "3.11" and platform_system == "Windows" +websocket-client==1.6.3 ; python_version >= "3.10" and python_version < "3.11" +werkzeug==2.3.7 ; python_version >= "3.10" and python_version < "3.11" +wheel==0.41.2 ; python_version >= "3.10" and python_version < "3.11" +wrapt==1.14.1 ; python_version >= "3.10" and python_version < "3.11" +zipp==3.17.0 ; python_version >= "3.10" and python_version < "3.11" diff --git a/train/evaluate/evaluate.py b/train/test/test.py similarity index 75% rename from train/evaluate/evaluate.py rename to train/test/test.py index 57b253d6..b163c100 100644 --- a/train/evaluate/evaluate.py +++ b/train/test/test.py @@ -3,10 +3,12 @@ from mlopspython_inference.inference_pillow import Inference +model_name = "final_model.keras" -def evaluate(logging, input_model_directory: Path, input_images_directory: Path, output_directory: Path, - integration_output: Path): - model_path = input_model_directory / "final_model.h5" +def execute_model_and_generate_integration_test_data(logging, input_model_directory: Path, input_images_directory: Path, + model_output_directory: Path, + integration_output_directory: Path): + model_path = input_model_directory / model_name model = Inference(logging, str(model_path)) statistics = { @@ -15,7 +17,7 @@ def evaluate(logging, input_model_directory: Path, input_images_directory: Path, "total": 0 } results = [] - tests_directory = input_images_directory / "evaluate" + tests_directory = input_images_directory / "test" for path in tests_directory.glob("**/*"): if path.is_dir(): continue @@ -33,16 +35,16 @@ def evaluate(logging, input_model_directory: Path, input_images_directory: Path, results.append(result) statistics["total"] = statistics["ok"] + statistics["ko"] - with open(output_directory / "statistics.json", 'w') as file_stream: + with open(model_output_directory / "statistics.json", 'w') as file_stream: json.dump(statistics, file_stream, indent=4) - with open(output_directory / "predictions.json", 'w') as file_stream: + with open(model_output_directory / "predictions.json", 'w') as file_stream: json.dump(results, file_stream, indent=4) - model_path_output = output_directory / "final_model.h5" + model_path_output = model_output_directory / model_name model_path_output.write_bytes(model_path.read_bytes()) - mlcli_directory = integration_output / "mlcli" + mlcli_directory = integration_output_directory / "mlcli" mlcli_directory.mkdir(parents=True, exist_ok=True) for source_path in tests_directory.glob("**/*"): if source_path.is_dir(): @@ -50,7 +52,7 @@ def evaluate(logging, input_model_directory: Path, input_images_directory: Path, destination_path = mlcli_directory / source_path.name destination_path.write_bytes(source_path.read_bytes()) - ground_truth_directory = integration_output / "ground_truth" + ground_truth_directory = integration_output_directory / "ground_truth" ground_truth_directory.mkdir(parents=True, exist_ok=True) for file in results: filename = file["filename"] diff --git a/train/evaluate/tests/__init__.py b/train/test/tests/__init__.py similarity index 100% rename from train/evaluate/tests/__init__.py rename to train/test/tests/__init__.py diff --git a/train/evaluate/tests/evaluate_test.py b/train/test/tests/evaluate_test.py similarity index 100% rename from train/evaluate/tests/evaluate_test.py rename to train/test/tests/evaluate_test.py diff --git a/train/evaluate/tests/input/images/evaluate/cats/cat_0a2bc279-8a6b-49fd-9857-d047351cd5e9_page3_index0.png b/train/test/tests/input/images/evaluate/cats/cat_0a2bc279-8a6b-49fd-9857-d047351cd5e9_page3_index0.png similarity index 100% rename from train/evaluate/tests/input/images/evaluate/cats/cat_0a2bc279-8a6b-49fd-9857-d047351cd5e9_page3_index0.png rename to train/test/tests/input/images/evaluate/cats/cat_0a2bc279-8a6b-49fd-9857-d047351cd5e9_page3_index0.png diff --git a/train/evaluate/tests/input/images/evaluate/dogs/dog_0a2bc279-8a6b-49fd-9857-d047351cd5e10_page4_index0.png b/train/test/tests/input/images/evaluate/dogs/dog_0a2bc279-8a6b-49fd-9857-d047351cd5e10_page4_index0.png similarity index 100% rename from train/evaluate/tests/input/images/evaluate/dogs/dog_0a2bc279-8a6b-49fd-9857-d047351cd5e10_page4_index0.png rename to train/test/tests/input/images/evaluate/dogs/dog_0a2bc279-8a6b-49fd-9857-d047351cd5e10_page4_index0.png diff --git a/train/evaluate/tests/input/images/evaluate/others/other_0a0e5d35-ef01-4239-af60-81f2357a6ab9_page1_index0.png b/train/test/tests/input/images/evaluate/others/other_0a0e5d35-ef01-4239-af60-81f2357a6ab9_page1_index0.png similarity index 100% rename from train/evaluate/tests/input/images/evaluate/others/other_0a0e5d35-ef01-4239-af60-81f2357a6ab9_page1_index0.png rename to train/test/tests/input/images/evaluate/others/other_0a0e5d35-ef01-4239-af60-81f2357a6ab9_page1_index0.png diff --git a/train/evaluate/tests/input/model/final_model.h5 b/train/test/tests/input/model/final_model.h5 similarity index 100% rename from train/evaluate/tests/input/model/final_model.h5 rename to train/test/tests/input/model/final_model.h5 diff --git a/train/train/.amlignore b/train/train/.amlignore new file mode 100644 index 00000000..c81288e8 --- /dev/null +++ b/train/train/.amlignore @@ -0,0 +1,5 @@ +/tests +*.sh +*.yml +*.yaml +*.ipynb \ No newline at end of file diff --git a/train/train/.dockerignore b/train/train/.dockerignore new file mode 100644 index 00000000..3ede3506 --- /dev/null +++ b/train/train/.dockerignore @@ -0,0 +1,4 @@ +/tests +*.ipynb +*.lock +*.toml diff --git a/train/train/.idea/.gitignore b/train/train/.idea/.gitignore deleted file mode 100644 index 13566b81..00000000 --- a/train/train/.idea/.gitignore +++ /dev/null @@ -1,8 +0,0 @@ -# Default ignored files -/shelf/ -/workspace.xml -# Editor-based HTTP Client requests -/httpRequests/ -# Datasource local storage ignored files -/dataSources/ -/dataSources.local.xml diff --git a/train/train/.idea/inspectionProfiles/Project_Default.xml b/train/train/.idea/inspectionProfiles/Project_Default.xml deleted file mode 100644 index 82a940f4..00000000 --- a/train/train/.idea/inspectionProfiles/Project_Default.xml +++ /dev/null @@ -1,6 +0,0 @@ - - - - \ No newline at end of file diff --git a/train/train/.idea/inspectionProfiles/profiles_settings.xml b/train/train/.idea/inspectionProfiles/profiles_settings.xml deleted file mode 100644 index 105ce2da..00000000 --- a/train/train/.idea/inspectionProfiles/profiles_settings.xml +++ /dev/null @@ -1,6 +0,0 @@ - - - - \ No newline at end of file diff --git a/train/train/.idea/misc.xml b/train/train/.idea/misc.xml deleted file mode 100644 index 08df8f39..00000000 --- a/train/train/.idea/misc.xml +++ /dev/null @@ -1,4 +0,0 @@ - - - - \ No newline at end of file diff --git a/train/train/.idea/modules.xml b/train/train/.idea/modules.xml deleted file mode 100644 index 1460965d..00000000 --- a/train/train/.idea/modules.xml +++ /dev/null @@ -1,8 +0,0 @@ - - - - - - - - \ No newline at end of file diff --git a/train/train/.idea/train.iml b/train/train/.idea/train.iml deleted file mode 100644 index d0876a78..00000000 --- a/train/train/.idea/train.iml +++ /dev/null @@ -1,8 +0,0 @@ - - - - - - - - \ No newline at end of file diff --git a/train/train/.idea/vcs.xml b/train/train/.idea/vcs.xml deleted file mode 100644 index b2bdec2d..00000000 --- a/train/train/.idea/vcs.xml +++ /dev/null @@ -1,6 +0,0 @@ - - - - - - \ No newline at end of file diff --git a/train/train/Dockerfile b/train/train/Dockerfile new file mode 100644 index 00000000..791d4aca --- /dev/null +++ b/train/train/Dockerfile @@ -0,0 +1,5 @@ +FROM python:3.10.13 +COPY requirements.txt ./ +RUN pip install --upgrade pip +RUN pip install -r requirements.txt --no-cache-dir +CMD ["bash"] diff --git a/train/train/Pipfile b/train/train/Pipfile deleted file mode 100644 index 1fc0e839..00000000 --- a/train/train/Pipfile +++ /dev/null @@ -1,19 +0,0 @@ -[[source]] -url = "https://pypi.org/simple" -verify_ssl = true -name = "pypi" - -[packages] -numpy = "==1.23.5" -matplotlib = "==3.7.0" -keras = "==2.12.0" -tensorflow = "==2.12.0" -scipy = "*" -opencv-contrib-python-headless = "==4.7.0.68" - -[dev-packages] -coverage = "===7.1.0" - -[requires] -python_version = "3.11" -python_full_version = "3.11.1" \ No newline at end of file diff --git a/train/train/Pipfile.lock b/train/train/Pipfile.lock deleted file mode 100644 index f0beb666..00000000 --- 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"batch_size": batch_size, - "epochs": epochs, - } - mlflow.log_params(params) - - mlflow.tensorflow.autolog() - run_test_harness(Path(split_images_input), Path(model_output), batch_size, epochs) - #mlflow.log_figure() - # mlflow.log_metric("number_files_input", result.number_files_input) - # mlflow.log_metric("number_images_output", result.number_images_output) diff --git a/train/train/command.py b/train/train/command.py new file mode 100644 index 00000000..f5f8078d --- /dev/null +++ b/train/train/command.py @@ -0,0 +1,29 @@ +import argparse +from pathlib import Path +import mlflow +from train import run_test_harness + +parser = argparse.ArgumentParser("train") +parser.add_argument("--split_images_input", type=str) +parser.add_argument("--model_output", type=str) + +# Get arguments from parser +args = parser.parse_args() +split_images_input = args.split_images_input +model_output = args.model_output + + + +batch_size = 64 +epochs = 3 +params = { + "batch_size": batch_size, + "epochs": epochs, +} +mlflow.log_params(params) + +mlflow.tensorflow.autolog() +run_test_harness(Path(split_images_input), Path(model_output), batch_size, epochs) +# mlflow.log_figure() +# mlflow.log_metric("number_files_input", result.number_files_input) +# mlflow.log_metric("number_images_output", result.number_images_output) \ No newline at end of file diff --git a/train/train/command.yaml b/train/train/command.yaml new file mode 100644 index 00000000..3d566807 --- /dev/null +++ b/train/train/command.yaml @@ -0,0 +1,29 @@ + +$schema: https://azuremlschemas.azureedge.net/latest/commandComponent.schema.json +type: command + +name: train +display_name: Train +description: Train model on train+evaluate set +version: 0.0.1 +is_deterministic: true + +inputs: + split_images_input: + type: uri_folder + +outputs: + model_output: + type: uri_folder + +environment: + name: train_environment + build: + path: ./ + +code: ./ +command: >- + python command.py + --split_images_input ${{inputs.split_images_input}} + --model_output ${{outputs.model_output}} + diff --git a/train/train/environment.conda.yaml b/train/train/environment.conda.yaml deleted file mode 100644 index 95d3531a..00000000 --- a/train/train/environment.conda.yaml +++ /dev/null @@ -1,22 +0,0 @@ -# Copyright (c) Microsoft Corporation. -# Licensed under the MIT License. - -image: mcr.microsoft.com/azureml/openmpi4.1.0-ubuntu20.04 -name: label_split_data_environment -conda_file: - name: default_environment - channels: - - defaults - dependencies: - - python=3.10 - #- pip=22.3.1 - - pip: - - mldesigner==0.1.0b4 - - matplotlib - - keras - - numpy - - tensorflow - - scipy - - opencv-contrib-python-headless==4.7.0.68 - - mlflow - - azureml-mlflow \ No newline at end of file diff --git a/train/train/poetry.lock b/train/train/poetry.lock new file mode 100644 index 00000000..8bc0cf29 --- /dev/null +++ b/train/train/poetry.lock @@ -0,0 +1,3201 @@ +# This file is automatically @generated by Poetry 1.6.1 and 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"3.11" +attrs==23.1.0 ; python_version >= "3.10" and python_version < "3.11" +azure-ai-ml==1.10.1 ; python_version >= "3.10" and python_version < "3.11" +azure-common==1.1.28 ; python_version >= "3.10" and python_version < "3.11" +azure-core==1.29.4 ; python_version >= "3.10" and python_version < "3.11" +azure-identity==1.14.0 ; python_version >= "3.10" and python_version < "3.11" +azure-mgmt-core==1.4.0 ; python_version >= "3.10" and python_version < "3.11" +azure-storage-blob==12.13.0 ; python_version >= "3.10" and python_version < "3.11" +azure-storage-file-datalake==12.8.0 ; python_version >= "3.10" and python_version < "3.11" +azure-storage-file-share==12.14.1 ; python_version >= "3.10" and python_version < "3.11" +azureml-mlflow==1.53.0 ; python_version >= "3.10" and python_version < "3.11" +blinker==1.6.2 ; python_version >= "3.10" and python_version < "3.11" +cachetools==5.3.1 ; python_version >= "3.10" and python_version < "3.11" +certifi==2023.7.22 ; python_version >= "3.10" and python_version < "3.11" +cffi==1.15.1 ; python_version >= "3.10" and python_version < "3.11" +charset-normalizer==3.2.0 ; python_version >= "3.10" and python_version < "3.11" +click==8.1.7 ; python_version >= "3.10" and python_version < "3.11" +cloudpickle==2.2.1 ; python_version >= "3.10" and python_version < "3.11" +colorama==0.4.6 ; python_version >= "3.10" and python_version < "3.11" +contourpy==1.1.1 ; python_version >= "3.10" and python_version < "3.11" +cryptography==41.0.4 ; python_version >= "3.10" and python_version < "3.11" +cycler==0.11.0 ; python_version >= "3.10" and python_version < "3.11" +databricks-cli==0.17.8 ; python_version >= "3.10" and python_version < "3.11" +docker==6.1.3 ; python_version >= "3.10" and python_version < "3.11" +entrypoints==0.4 ; python_version >= "3.10" and python_version < "3.11" +flask==2.3.3 ; python_version >= "3.10" and python_version < "3.11" +flatbuffers==23.5.26 ; python_version >= "3.10" and python_version < "3.11" +fonttools==4.42.1 ; python_version >= "3.10" and python_version < "3.11" +gast==0.4.0 ; python_version >= "3.10" and python_version < "3.11" +gitdb==4.0.10 ; python_version >= "3.10" and python_version < "3.11" +gitpython==3.1.37 ; python_version >= "3.10" and python_version < "3.11" +google-api-core==2.12.0 ; python_version >= "3.10" and python_version < "3.11" +google-auth-oauthlib==1.0.0 ; python_version >= "3.10" and python_version < "3.11" +google-auth==2.23.0 ; python_version >= "3.10" and python_version < "3.11" +google-pasta==0.2.0 ; python_version >= "3.10" and python_version < "3.11" +googleapis-common-protos==1.60.0 ; python_version >= "3.10" and python_version < "3.11" +greenlet==2.0.2 ; python_version >= "3.10" and python_version < "3.11" and (platform_machine == "aarch64" or platform_machine == "ppc64le" or platform_machine == "x86_64" or platform_machine == "amd64" or platform_machine == "AMD64" or platform_machine == "win32" or platform_machine == "WIN32") +grpcio==1.58.0 ; python_version >= "3.10" and python_version < "3.11" +gunicorn==21.2.0 ; python_version >= "3.10" and python_version < "3.11" and platform_system != "Windows" +h5py==3.9.0 ; python_version >= "3.10" and python_version < "3.11" +idna==3.4 ; python_version >= "3.10" and python_version < "3.11" +importlib-metadata==6.8.0 ; python_version >= "3.10" and python_version < "3.11" +isodate==0.6.1 ; python_version >= "3.10" and python_version < "3.11" +itsdangerous==2.1.2 ; python_version >= "3.10" and python_version < "3.11" +jax==0.4.16 ; python_version >= "3.10" and python_version < "3.11" +jinja2==3.1.2 ; python_version >= "3.10" and python_version < "3.11" +joblib==1.3.2 ; python_version >= "3.10" and python_version < "3.11" +jsonpickle==3.0.2 ; python_version >= "3.10" and python_version < "3.11" +jsonschema-specifications==2023.7.1 ; python_version >= "3.10" and python_version < "3.11" +jsonschema==4.19.1 ; python_version >= "3.10" and python_version < "3.11" +keras==2.12.0 ; python_version >= "3.10" and python_version < "3.11" +kiwisolver==1.4.5 ; python_version >= "3.10" and python_version < "3.11" +libclang==16.0.6 ; python_version >= "3.10" and python_version < "3.11" +mako==1.2.4 ; python_version >= "3.10" and python_version < "3.11" +markdown==3.4.4 ; python_version >= "3.10" and python_version < "3.11" +markupsafe==2.1.3 ; python_version >= "3.10" and python_version < "3.11" +marshmallow==3.20.1 ; python_version >= "3.10" and python_version < "3.11" +matplotlib==3.8.0 ; python_version >= "3.10" and python_version < "3.11" +ml-dtypes==0.3.1 ; python_version >= "3.10" and python_version < "3.11" +mldesigner==0.1.0b15 ; python_version >= "3.10" and python_version < "3.11" +mlflow-skinny==2.7.1 ; python_version >= "3.10" and python_version < "3.11" +mlflow==2.7.1 ; python_version >= "3.10" and python_version < "3.11" +msal-extensions==1.0.0 ; python_version >= "3.10" and python_version < "3.11" +msal==1.24.0 ; python_version >= "3.10" and python_version < "3.11" +msrest==0.7.1 ; python_version >= "3.10" and python_version < "3.11" +numpy==1.23.5 ; python_version >= "3.10" and python_version < "3.11" +oauthlib==3.2.2 ; python_version >= "3.10" and python_version < "3.11" +opencensus-context==0.1.3 ; python_version >= "3.10" and python_version < "3.11" +opencensus-ext-azure==1.1.10 ; python_version >= "3.10" and python_version < "3.11" +opencensus==0.11.3 ; python_version >= "3.10" and python_version < "3.11" +opencv-contrib-python-headless==4.8.0.76 ; python_version >= "3.10" and python_version < "3.11" +opt-einsum==3.3.0 ; python_version >= "3.10" and python_version < "3.11" +packaging==23.1 ; python_version >= "3.10" and python_version < "3.11" +pandas==2.1.1 ; python_version >= "3.10" and python_version < "3.11" +pillow==10.0.1 ; python_version >= "3.10" and python_version < "3.11" +portalocker==2.8.2 ; python_version >= "3.10" and python_version < "3.11" +protobuf==4.24.3 ; python_version >= "3.10" and python_version < "3.11" +psutil==5.9.5 ; python_version >= "3.10" and python_version < "3.11" +pyarrow==13.0.0 ; python_version >= "3.10" and python_version < "3.11" +pyasn1-modules==0.3.0 ; python_version >= "3.10" and python_version < "3.11" +pyasn1==0.5.0 ; python_version >= "3.10" and python_version < "3.11" +pycparser==2.21 ; python_version >= "3.10" and python_version < "3.11" +pydash==5.1.2 ; python_version >= "3.10" and python_version < "3.11" +pyjwt==2.8.0 ; python_version >= "3.10" and python_version < "3.11" +pyjwt[crypto]==2.8.0 ; python_version >= "3.10" and python_version < "3.11" +pyparsing==3.1.1 ; python_version >= "3.10" and python_version < "3.11" +python-dateutil==2.8.2 ; python_version >= "3.10" and python_version < "3.11" +pytz==2023.3.post1 ; python_version >= "3.10" and python_version < "3.11" +pywin32==306 ; python_version >= "3.10" and python_version < "3.11" and (sys_platform == "win32" or platform_system == "Windows") +pyyaml==6.0.1 ; python_version >= "3.10" and python_version < "3.11" +querystring-parser==1.2.4 ; python_version >= "3.10" and python_version < "3.11" +referencing==0.30.2 ; python_version >= "3.10" and python_version < "3.11" +requests-oauthlib==1.3.1 ; python_version >= "3.10" and python_version < "3.11" +requests==2.31.0 ; python_version >= "3.10" and python_version < "3.11" +rpds-py==0.10.3 ; python_version >= "3.10" and python_version < "3.11" +rsa==4.9 ; python_version >= "3.10" and python_version < "3.11" +scikit-learn==1.3.1 ; python_version >= "3.10" and python_version < "3.11" +scipy==1.11.2 ; python_version >= "3.10" and python_version < "3.11" +setuptools-scm==8.0.3 ; python_version >= "3.10" and python_version < "3.11" +setuptools==68.2.2 ; python_version >= "3.10" and python_version < "3.11" +six==1.16.0 ; python_version >= "3.10" and python_version < "3.11" +smmap==5.0.1 ; python_version >= "3.10" and python_version < "3.11" +sqlalchemy==2.0.21 ; python_version >= "3.10" and python_version < "3.11" +sqlparse==0.4.4 ; python_version >= "3.10" and python_version < "3.11" +strictyaml==1.7.3 ; python_version >= "3.10" and python_version < "3.11" +tabulate==0.9.0 ; python_version >= "3.10" and python_version < "3.11" +tensorboard-data-server==0.7.1 ; python_version >= "3.10" and python_version < "3.11" +tensorboard==2.12.3 ; python_version >= "3.10" and python_version < "3.11" +tensorflow-estimator==2.12.0 ; python_version >= "3.10" and python_version < "3.11" +tensorflow-io-gcs-filesystem==0.27.0 ; python_version >= "3.10" and python_version < "3.11" +tensorflow==2.12.0 ; python_version >= "3.10" and python_version < "3.11" +termcolor==2.3.0 ; python_version >= "3.10" and python_version < "3.11" +threadpoolctl==3.2.0 ; python_version >= "3.10" and python_version < "3.11" +tomli==2.0.1 ; python_version >= "3.10" and python_version < "3.11" +tqdm==4.66.1 ; python_version >= "3.10" and python_version < "3.11" +typing-extensions==4.8.0 ; python_version >= "3.10" and python_version < "3.11" +tzdata==2023.3 ; python_version >= "3.10" and python_version < "3.11" +urllib3==1.26.16 ; python_version >= "3.10" and python_version < "3.11" +waitress==2.1.2 ; python_version >= "3.10" and python_version < "3.11" and platform_system == "Windows" +websocket-client==1.6.3 ; python_version >= "3.10" and python_version < "3.11" +werkzeug==2.3.7 ; python_version >= "3.10" and python_version < "3.11" +wheel==0.41.2 ; python_version >= "3.10" and python_version < "3.11" +wrapt==1.14.1 ; python_version >= "3.10" and python_version < "3.11" +zipp==3.17.0 ; python_version >= "3.10" and python_version < "3.11" diff --git a/train/train/train.py b/train/train/train.py index 0433ab28..66fde869 100644 --- a/train/train/train.py +++ b/train/train/train.py @@ -21,9 +21,10 @@ def define_model(): for layer in model.layers: layer.trainable = False # add new classifier layers - drop1 = keras.layers.Dropout(0.2)(model.layers[-1].output) + output = model.layers[-1].output + drop1 = keras.layers.Dropout(0.2)(output) flat1 = Flatten()(drop1) - class1 = Dense(128, activation="relu", kernel_initializer="he_uniform")(flat1) + class1 = Dense(64, activation="relu", kernel_initializer="he_uniform")(flat1) #class2 = Dense(42, activation="relu", kernel_initializer="he_uniform")(class1) output = Dense(3, activation="sigmoid")(class1) # define new model @@ -95,15 +96,15 @@ def run_test_harness(input_directory: Path, output_directory: Path, batch_size=6 epochs=epochs, verbose=1, ) - # evaluate model + # test model evaluate_it = datagen.flow_from_directory( - str(input_directory / "evaluate"), class_mode="binary", batch_size=batch_size, target_size=(224, 224) + str(input_directory / "test"), class_mode="binary", batch_size=batch_size, target_size=(224, 224) ) _, acc = model.evaluate_generator(evaluate_it, steps=len(evaluate_it), verbose=1) evaluate_accuracy_percentage = acc * 100.0 print("> %.3f" % (evaluate_accuracy_percentage)) # learning curves summary_image_path = summarize_diagnostics(history, output_directory) - model_path = output_directory / "final_model.h5" + model_path = output_directory / "final_model.keras" model.save(str(model_path)) return ModelResult(evaluate_accuracy_percentage, summary_image_path, model_path)