From 9011bef9c0fb86f1e0f3b4b9d0bfcc6a3d900bd0 Mon Sep 17 00:00:00 2001 From: drcrook1 Date: Tue, 2 Apr 2019 11:30:41 -0400 Subject: [PATCH] most of the way done with build pipelines --- README.md | 104 +++++++----------- .../ado_build_pipe_add_cli_tasks.png | Bin 0 -> 38503 bytes .../ado_build_pipe_link_variable_group.png | Bin 0 -> 15711 bytes .../ado_build_pipe_set_build_agent_type.png | Bin 0 -> 20003 bytes .../ado_build_pipe_staging_add_tasks.png | Bin 0 -> 49350 bytes .../ado_build_pipe_var_group_staging.png | Bin 0 -> 12228 bytes readme_images/ado_cli_task_1.png | Bin 0 -> 28848 bytes readme_images/ado_cli_task_1_vars.png | Bin 0 -> 11914 bytes readme_images/ado_cli_task_2_config.png | Bin 0 -> 6061 bytes readme_images/ado_cli_task_3_config.png | Bin 0 -> 9502 bytes readme_images/ado_cli_task_3_config_p2.png | Bin 0 -> 14795 bytes readme_images/ado_cli_task_4_config_p1.png | Bin 0 -> 19176 bytes readme_images/ado_cli_task_4_config_p2.png | Bin 0 -> 8200 bytes readme_images/ado_copy_files_1.png | Bin 0 -> 4954 bytes readme_images/copy_files_task.png | Bin 0 -> 14998 bytes readme_images/four_empty_cli_tasks.png | Bin 0 -> 43415 bytes readme_images/pub_code_coverage.png | Bin 0 -> 21542 bytes readme_images/publish_test_results_task.png | Bin 0 -> 12184 bytes ...verify_ado_build_pipe_post_pub_cov_add.png | Bin 0 -> 37840 bytes 19 files changed, 39 insertions(+), 65 deletions(-) create mode 100644 readme_images/ado_build_pipe_add_cli_tasks.png create mode 100644 readme_images/ado_build_pipe_link_variable_group.png create mode 100644 readme_images/ado_build_pipe_set_build_agent_type.png create mode 100644 readme_images/ado_build_pipe_staging_add_tasks.png create mode 100644 readme_images/ado_build_pipe_var_group_staging.png create mode 100644 readme_images/ado_cli_task_1.png create mode 100644 readme_images/ado_cli_task_1_vars.png create mode 100644 readme_images/ado_cli_task_2_config.png create mode 100644 readme_images/ado_cli_task_3_config.png create mode 100644 readme_images/ado_cli_task_3_config_p2.png create mode 100644 readme_images/ado_cli_task_4_config_p1.png create mode 100644 readme_images/ado_cli_task_4_config_p2.png create mode 100644 readme_images/ado_copy_files_1.png create mode 100644 readme_images/copy_files_task.png create mode 100644 readme_images/four_empty_cli_tasks.png create mode 100644 readme_images/pub_code_coverage.png create mode 100644 readme_images/publish_test_results_task.png create mode 100644 readme_images/verify_ado_build_pipe_post_pub_cov_add.png diff --git a/README.md b/README.md index 4eddfc9..7ad82db 100644 --- a/README.md +++ b/README.md @@ -428,35 +428,45 @@ The intention of this step is to create an Azure DevOps Pipeline that will mimic ![alt text](./readme_images/ado_build_pipe_select_empty_job.png) 4. Name your Pipeline accordingly and select the Hosted Ubuntu 1604 Build Agent from the Agent Pool. - + +![alt text](./readme_images/ado_build_pipe_set_build_agent_type.png) + 5. Link the variable group that you created earlier by clicking on Variables in the menu bar, followed by Variable groups and click Link Variable Groups. + +![alt text](./readme_images/ado_build_pipe_link_variable_group.png) 6. Select the Staging Environment Variable Group and Click Link. Your pipeline now has access to all the runtime environmental variables to connect to the Staging Environment. - +![alt text](./readme_images/ado_build_pipe_var_group_staging.png) + 7. Click back onto Tasks on the menu and click +on the Agent Job to Add the Tasks that you will be configuring for the build process. - +![alt text](./readme_images/ado_build_pipe_staging_add_tasks.png)   8. Type “CLI” in the Search Box and Click the Azure CLI”ADD” button four times. - -Your Agent Job Step should look like the following when you have completed. +![alt text](./readme_images/ado_build_pipe_add_cli_tasks.png) - +Your Agent Job Step should look like the following when you have completed. +![alt text](./readme_images/four_empty_cli_tasks.png)   9. Repeat Step 8, substituting the Search for “CLI” with Copy and add two Copy Files Tasks. - + ![alt text](./readme_images/copy_files_task.png) 10. Substitute “Copy” with “Test” and add a Publish Test Results Task + ![alt text](./readme_images/publish_test_results_task.png) + 11. Substitute “Test” with Coverage and add a Publish Code Coverage Results Task. + + ![alt text](./readme_images/pub_code_coverage.png) Your Agent Job should now resemble the following: - + + ![alt text](./readme_images/verify_ado_build_pipe_post_pub_cov_add.png) 12. The First Azure CLI Task will be used to configure the agent environment and make sure that the required packages are installed to execute the rest of the pipeline. Provide the task with a descriptive name, Select the appropriate Azure Subscription, set the Script Location to “Inline Script” and add the flowing to the inline script window: pip3 install -U setuptools @@ -464,69 +474,29 @@ python3 -m install --upgrade pip pip3 install --upgrade azureml-sdk[notebooks] Set the remainder of the task properties as depicted below: - + ![alt text](./readme_images/ado_cli_task_1.png) + + ![alt text](./readme_images/ado_cli_task_1_vars.png) 13. Click on the second Azure CLI Task, select the appropriate Azure Subscription and configure as follows: -Display Name Train Model -Script Location Inline Script -Inline Script python3 Project_One/notebooks/submit_run_db.py -Access service principal details in script Checked -Use global Azure CLI configuration Checked -Working Directory + +![alt text](./readme_images/ado_cli_task_2_config.png) 14. Click in the third Azure CLI Task , select the appropriate Azure Subscription and configure the Task as follows : -Display Name Build Inference Container -Script Location Inline Script -Inline Script #Creating Artifact and Test Results Directories -mkdir ml_temp && cd ml_temp -mkdir artifacts && cd artifacts -mkdir test_results - -#Switching to Project Directory -cd / -cd $(System.DefaultWorkingDirectory)/Project_One - -#Docker Build Inf Container -echo "Building Inference Container" -docker build -t mlbuild . - -#Run Built Container -echo "Running Inference Container" -docker run -e SUBSCRIPTION_ID=$(subscription-id) -e RESOURCE_GROUP=$(resource-group) -e WORKSPACE_NAME=$(ml-workspace-name) -e STATE=$(alg-state) -e AUTHOR=$(author) -e MODEL_NAME=$(model-name) -e IMAGE_NAME=$(image-name) --name mlbuild --rm -v $(Agent.HomeDirectory)/ml_temp/artifacts:/artifacts/ -v /home/vsts/.azure/:/root/.azure/ mlbuild -Access service principal details in script Checked -Use global Azure CLI configuration Checked -Working Directory $(Agent.HomeDirectory) -The contents of inline script can be found in the Repo at Project_One/runbuild_pipeline.sh + +![alt text](./readme_images/ado_cli_task_3_config.png) + +![alt text](./readme_images/ado_cli_task_3_config_p2.png) + 15. Click the fourth Azure CLI Task, Select the appropriate Azure Subscription and configure the Task as follows: -Display Name Run Unit Tests -Script Location Inline Script -Inline Script cd ml_temp/artifacts -str=$(jq -r '.image_location' artifacts.json) - -echo "################### Image to be tested ################### : " $str -cd / -cd $(System.DefaultWorkingDirectory)/Project_One-Tests -echo "################### Updating Tests Docker File ################### " -sed "s||${str}|g" dockerfile.base > dockerfile - -echo "################### Logging into ACR ################### " -docker login $ACR_NAME -u $ACR_USER -p $ACR_PASSWORD -echo "################### Building MLTESTS Image ################### " -docker build -t mltests . -echo "################### Running MLTests Container and Conducting Tests ################### " -docker run --name mltests -v $(Agent.HomeDirectory)/ml_temp/artifacts/test_results:/var/azureml-app/tests/junit mltests -echo "################### Ending Test Sequence ################### " -sudo chown -R $(id -u):$(id -u) $(Agent.HomeDirectory)/ml_temp/artifacts/test_results/cov_html/ -Access service principal details in script Checked -Use global Azure CLI configuration Checked -Working Directory $(Agent.HomeDirectory) -The contents of inline script can be found in the Repo at Project_One-Tests/runtests_pipeline.sh + +![alt text](./readme_images/ado_cli_task_4_config_p1.png) + +![alt text](./readme_images/ado_cli_task_4_config_p2.png) 16. Click on the first Copy Files Task and configure the task as follows: -Display Name Copy Files to: $(build.artifactstagingdirectory) -Source Folder $(Agent.HomeDirectory)/ml_temp/artifacts/ -Contents ** -Target Folder* $(build.artifactstagingdirectory) + +![alt text](./readme_images/ado_copy_files_1.png)   @@ -569,4 +539,8 @@ Artifact publish location Azure Pipelines/TFS You can now Save and Queue this pipeline for a manual build to make sure that it executes from end to end without any issues. -Output from the pipeline should resemble the following: \ No newline at end of file +Output from the pipeline should resemble the following: + + + + diff --git a/readme_images/ado_build_pipe_add_cli_tasks.png b/readme_images/ado_build_pipe_add_cli_tasks.png new file mode 100644 index 0000000000000000000000000000000000000000..01d3e2e4a75163f300997f56fd8220767ad3b100 GIT binary patch literal 38503 zcmd42V|1iZ*DV^`w%JL?wr$(CZJQk@9ix+UY}>YN+c?$ld%kn-ulwu%xHYOq)vodE 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