From dce9993f32c0e6f59fceed43965164e1d527b489 Mon Sep 17 00:00:00 2001 From: Sean Rastatter Date: Wed, 30 Oct 2024 14:43:49 -0400 Subject: [PATCH 1/4] making github and github actions defaults --- AutoMLOps_User_Guide.pdf | Bin 2574555 -> 2578730 bytes README.md | 35 ++++--------- .../00_batch_prediction_example.ipynb | 25 ++++++++-- ...00_llmops_finetuning_flan_t5_example.ipynb | 46 ++++++++++++++---- .../00_introduction_training_example.ipynb | 32 ++++++++---- examples/training/01_clustering_example.ipynb | 25 ++++++++-- ...orflow_transfer_learning_gpu_example.ipynb | 39 ++++++++++++--- ...3_bqml_introduction_training_example.ipynb | 25 ++++++++-- .../04_bqml_forecasting-retail-demand.ipynb | 25 ++++++++-- google_cloud_automlops/AutoMLOps.py | 8 +-- google_cloud_automlops/utils/enums.py | 2 +- 11 files changed, 186 insertions(+), 76 deletions(-) diff --git a/AutoMLOps_User_Guide.pdf b/AutoMLOps_User_Guide.pdf index 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zQ=KdP&US0vjLrAjTq=1D>XHf?H2GFPgl?Q$DMEvULYt%F6yc@!G1BGmzwG~W`)R{m zU~0I!0+S52h<0(822#j%g6W{U6>s#XrwPV?fpw8-JQ${=6{Gs1zjk)*($VC9G`yl` z_@J05sIj|~{q@5U5yOTvPky%hqHND}%WA*FN~qHE(GXPjo5T7a+s|NYeT7zNm7rL# zYuyAJyh}HNk`EQOBnSyYt!YM+dv`&EbFC`ID0mAAYEe-||BW zWk5fv?U=|#u=l^eU%&H! -``` ### Monitor In order to use `AutoMLOps.monitor(...)`, the following are required: @@ -170,10 +165,7 @@ AutoMLOps will makes use of the following products based on user selected option 6. if `use_ci=True` and `schedule_pattern` is specified, AutoMLOps will use: - [Cloud Scheduler](https://cloud.google.com/scheduler/docs/overview) -7. if `use_ci=True` and `source_repo_type='cloud-source-repositories'`, AutoMLOps will use: -- [Cloud Source Repositories](https://cloud.google.com/source-repositories/docs) - -8. if `use_ci=True` and `setup_model_monitoring=True`, AutoMLOps will use: +7. if `use_ci=True` and `setup_model_monitoring=True`, AutoMLOps will use: - [Vertex AI Model Monitoring](https://cloud.google.com/vertex-ai/docs/model-monitoring/overview) - [Cloud Logging](https://cloud.google.com/logging/docs/overview) @@ -193,7 +185,6 @@ Based on the above user selection, AutoMLOps will enable up to the following API - [pubsub.googleapis.com](https://cloud.google.com/pubsub/docs/reference/rest) - [run.googleapis.com](https://cloud.google.com/run/docs/reference/rest) - [storage.googleapis.com](https://cloud.google.com/storage/docs/apis) -- [sourcerepo.googleapis.com](https://cloud.google.com/source-repositories/docs/reference/rest) AutoMLOps will create the following service account and update [IAM permissions](https://cloud.google.com/iam/docs/understanding-roles) during the provision step: @@ -232,7 +223,7 @@ Optional parameters (defaults shown): 5. `build_trigger_location: str = 'us-central1'` 6. `build_trigger_name: str = f'{naming_prefix}-build-trigger'` 7. `custom_training_job_specs: list[dict] = None` -8. `deployment_framework: str = 'cloud-build'` +8. `deployment_framework: str = 'github-actions'` 9. `naming_prefix: str = 'automlops-default-prefix'` 10. `orchestration_framework: str = 'kfp'` 11. `pipeline_job_runner_service_account: str = f'vertex-pipelines@{project_id}.iam.gserviceaccount.com'` @@ -249,7 +240,7 @@ Optional parameters (defaults shown): 22. `setup_model_monitoring: Optional[bool] = False` 23. `source_repo_branch: str = 'automlops'` 24. `source_repo_name: str = f'{naming_prefix}-repository'` -25. `source_repo_type: str = 'cloud-source-repositories'` +25. `source_repo_type: str = 'github'` 26. `storage_bucket_location: str = 'us-central1'` 27. `storage_bucket_name: str = f'{project_id}-{naming_prefix}-bucket'` 28. `use_ci: bool = False` @@ -262,8 +253,8 @@ Parameter Options: - `artifact_repo_type=`: - 'artifact-registry' (default) - `deployment_framework=`: - - 'cloud-build' (default) - - 'github-actions' + - 'github-actions' (default) + - 'cloud-build' - [coming soon] 'gitlab-ci' - [coming soon] 'bitbucket-pipelines' - [coming soon] 'jenkins' @@ -281,8 +272,7 @@ Parameter Options: - 'terraform' - [coming soon] 'pulumi' - `source_repo_type=`: - - 'cloud-source-repositories' (default) - - 'github' + - 'github' (default) - 'gitlab' - 'bitbucket' @@ -324,7 +314,7 @@ A description of the parameters is below: - `workload_identity_provider`: Provider for workload identity federation. - `workload_identity_service_account`: Service account for workload identity federation (specify the full string). -AutoMLOps will generate the resources specified by these parameters (e.g. Artifact Registry, Cloud Source Repo, etc.). If use_ci is set to True, AutoMLOps will turn the outputted AutoMLOps/ directory into a Git repo and use it for the source repo. If a cron formatted str is given as an arg for `schedule_pattern` then it will set up a Cloud Schedule to run accordingly. If `setup_model_monitoring` is set to true, a model_monitoring/ directory will be created and a monitoring section will be added to config/defaults.yaml with empty values. These values are then set by running `AutoMLOps.monitor()`. +AutoMLOps will generate the resources specified by these parameters (e.g. Artifact Registry, GCS bucket, etc.). If use_ci is set to True, AutoMLOps will turn the outputted AutoMLOps/ directory into a Git repo and use it for the source repo. If a cron formatted str is given as an arg for `schedule_pattern` then it will set up a Cloud Schedule to run accordingly. If `setup_model_monitoring` is set to true, a model_monitoring/ directory will be created and a monitoring section will be added to config/defaults.yaml with empty values. These values are then set by running `AutoMLOps.monitor()`. # Generating Code @@ -385,11 +375,6 @@ AutoMLOps currently provides 2 primary options for provisioning infrastructure: ### Cloud Continuous Integration and Continuous Deployment Workflow If `use_ci=True`, AutoMLOps will generate and use a fully featured CI/CD environment for the pipeline. Otherwise, it will use the local scripts to build and run the pipeline. In the diagrams below dashed boxes show areas users can select and customize their tooling. -**

Cloud Build option:
** -

- CICD -

- **
Github Actions option:
**

CICD diff --git a/examples/inferencing/00_batch_prediction_example.ipynb b/examples/inferencing/00_batch_prediction_example.ipynb index 54572cc..b35368a 100644 --- a/examples/inferencing/00_batch_prediction_example.ipynb +++ b/examples/inferencing/00_batch_prediction_example.ipynb @@ -107,7 +107,6 @@ "- [pubsub.googleapis.com](https://cloud.google.com/pubsub/docs/reference/rest)\n", "- [run.googleapis.com](https://cloud.google.com/run/docs/reference/rest)\n", "- [storage.googleapis.com](https://cloud.google.com/storage/docs/apis)\n", - "- [sourcerepo.googleapis.com](https://cloud.google.com/source-repositories/docs/reference/rest)\n", "\n", "\n", "AutoMLOps will create the following service account and update [IAM permissions](https://cloud.google.com/iam/docs/understanding-roles) during the provision step:\n", @@ -130,7 +129,6 @@ "- Vertex AI\n", "- Artifact Registry\n", "- Cloud Storage\n", - "- Cloud Source Repository\n", "- Cloud Build\n", "- Cloud Run\n", "- Cloud Scheduler\n", @@ -588,12 +586,29 @@ } ], "source": [ + "# Setup using local scripts and cloudbuild:\n", "AutoMLOps.generate(project_id=PROJECT_ID,\n", " pipeline_params=pipeline_params,\n", - " use_ci=True,\n", + " use_ci=False,\n", " naming_prefix=MODEL_ID,\n", - " schedule_pattern='59 11 * * 0' # rerun every Sunday at Midnight\n", - ")" + " deployment_framework='cloud-build',\n", + ")\n", + "\n", + "# # Setup using Github, Github Actions, and Terraform:\n", + "# AutoMLOps.generate(project_id=PROJECT_ID,\n", + "# pipeline_params=pipeline_params,\n", + "# naming_prefix=MODEL_ID,\n", + "# schedule_pattern='59 11 * * 0', # retrain every Sunday at Midnight\n", + "# use_ci=True,\n", + "# deployment_framework='github-actions',\n", + "# provisioning_framework='terraform', \n", + "# source_repo_type='github',\n", + "# project_number='',\n", + "# source_repo_name='',\n", + "# workload_identity_pool='',\n", + "# workload_identity_provider='',\n", + "# workload_identity_service_account=''\n", + "# )" ] }, { diff --git a/examples/llmops/finetuning-flan-t5/00_llmops_finetuning_flan_t5_example.ipynb b/examples/llmops/finetuning-flan-t5/00_llmops_finetuning_flan_t5_example.ipynb index 2194e7e..8a6abc0 100644 --- a/examples/llmops/finetuning-flan-t5/00_llmops_finetuning_flan_t5_example.ipynb +++ b/examples/llmops/finetuning-flan-t5/00_llmops_finetuning_flan_t5_example.ipynb @@ -109,7 +109,6 @@ "- [pubsub.googleapis.com](https://cloud.google.com/pubsub/docs/reference/rest)\n", "- [run.googleapis.com](https://cloud.google.com/run/docs/reference/rest)\n", "- [storage.googleapis.com](https://cloud.google.com/storage/docs/apis)\n", - "- [sourcerepo.googleapis.com](https://cloud.google.com/source-repositories/docs/reference/rest)\n", "\n", "\n", "AutoMLOps will create the following service account and update [IAM permissions](https://cloud.google.com/iam/docs/understanding-roles) during the provision step:\n", @@ -132,7 +131,6 @@ "- Vertex AI\n", "- Artifact Registry\n", "- Cloud Storage\n", - "- Cloud Source Repository\n", "- Cloud Build\n", "- Cloud Run\n", "- Cloud Scheduler\n", @@ -975,7 +973,7 @@ "metadata": {}, "source": [ "## Generate and Run the pipeline\n", - "`AutoMLOps.go` generates the code and runs the pipeline. In this case, we are specifying a custom job spec, where we will use Nvidia V100 GPUs to accelerate the finetuning of the model." + "`AutoMLOps.generate(...)` generates the MLOps codebase. Users can specify the tooling and technologies they would like to use in their MLOps pipeline. In this case, we are specifying a custom job spec, where we will use Nvidia V100 GPUs to accelerate the finetuning of the model." ] }, { @@ -1001,10 +999,10 @@ } ], "source": [ - "AutoMLOps.generate(project_id=PROJECT_ID, \n", - " pipeline_params=pipeline_params, \n", - " use_ci=True, \n", - " schedule_pattern='59 11 * * 0', # retrain every Sunday at Midnight\n", + "# Setup using local scripts and cloudbuild:\n", + "AutoMLOps.generate(project_id=PROJECT_ID,\n", + " pipeline_params=pipeline_params,\n", + " use_ci=False,\n", " naming_prefix=MODEL_ID,\n", " base_image=TRAINING_IMAGE, \n", " provisioning_framework='terraform', \n", @@ -1018,8 +1016,38 @@ " 'service_account': SERVICE_ACCOUNT,\n", " 'tensorboard': tensorboard.resource_name,\n", " 'base_output_directory': BUCKET_URI\n", - " }]\n", - ")" + " }],\n", + " deployment_framework='cloud-build',\n", + ")\n", + "\n", + "# # Setup using Github, Github Actions, and Terraform:\n", + "# AutoMLOps.generate(project_id=PROJECT_ID,\n", + "# pipeline_params=pipeline_params,\n", + "# schedule_pattern='59 11 * * 0', # retrain every Sunday at Midnight\n", + "# use_ci=True,\n", + "# naming_prefix=MODEL_ID,\n", + "# base_image=TRAINING_IMAGE, \n", + "# provisioning_framework='terraform', \n", + "# custom_training_job_specs = [{\n", + "# 'component_spec': 'finetune_t5_model',\n", + "# 'display_name': 'flan-t5-base-finetuning-gpu-tensorboard',\n", + "# 'machine_type': 'n1-standard-8',\n", + "# 'accelerator_type': 'NVIDIA_TESLA_V100',\n", + "# 'accelerator_count': 1,\n", + "# 'replica_count': 1,\n", + "# 'service_account': SERVICE_ACCOUNT,\n", + "# 'tensorboard': tensorboard.resource_name,\n", + "# 'base_output_directory': BUCKET_URI\n", + "# }],\n", + "# deployment_framework='github-actions',\n", + "# provisioning_framework='terraform', \n", + "# source_repo_type='github',\n", + "# project_number='',\n", + "# source_repo_name='',\n", + "# workload_identity_pool='',\n", + "# workload_identity_provider='',\n", + "# workload_identity_service_account=''\n", + "# )" ] }, { diff --git a/examples/training/00_introduction_training_example.ipynb b/examples/training/00_introduction_training_example.ipynb index a291cd3..ad5fe08 100644 --- a/examples/training/00_introduction_training_example.ipynb +++ b/examples/training/00_introduction_training_example.ipynb @@ -106,8 +106,6 @@ "- [pubsub.googleapis.com](https://cloud.google.com/pubsub/docs/reference/rest)\n", "- [run.googleapis.com](https://cloud.google.com/run/docs/reference/rest)\n", "- [storage.googleapis.com](https://cloud.google.com/storage/docs/apis)\n", - "- [sourcerepo.googleapis.com](https://cloud.google.com/source-repositories/docs/reference/rest)\n", - "\n", "\n", "AutoMLOps will create the following service account and update [IAM permissions](https://cloud.google.com/iam/docs/understanding-roles) during the provision step:\n", "1. Pipeline Runner Service Account (defaults to: vertex-pipelines@PROJECT_ID.iam.gserviceaccount.com). Roles added:\n", @@ -129,7 +127,6 @@ "- Vertex AI\n", "- Artifact Registry\n", "- Cloud Storage\n", - "- Cloud Source Repository\n", "- Cloud Build\n", "- Cloud Run\n", "- Cloud Scheduler\n", @@ -702,13 +699,30 @@ } ], "source": [ + "# Setup using local scripts and cloudbuild:\n", "AutoMLOps.generate(project_id=PROJECT_ID,\n", " pipeline_params=pipeline_params,\n", - " use_ci=True,\n", + " use_ci=False,\n", " naming_prefix=MODEL_ID,\n", - " schedule_pattern='59 11 * * 0', # retrain every Sunday at Midnight\n", + " deployment_framework='cloud-build',\n", " setup_model_monitoring=True # use this if you would like to use Vertex Model Monitoring\n", - ")" + ")\n", + "\n", + "# # Setup using Github, Github Actions, and Terraform:\n", + "# AutoMLOps.generate(project_id=PROJECT_ID,\n", + "# pipeline_params=pipeline_params,\n", + "# naming_prefix=MODEL_ID,\n", + "# schedule_pattern='59 11 * * 0', # retrain every Sunday at Midnight\n", + "# use_ci=True,\n", + "# deployment_framework='github-actions',\n", + "# provisioning_framework='terraform', \n", + "# source_repo_type='github',\n", + "# project_number='',\n", + "# source_repo_name='',\n", + "# workload_identity_pool='',\n", + "# workload_identity_provider='',\n", + "# workload_identity_service_account=''\n", + "# )" ] }, { @@ -1028,7 +1042,7 @@ " target_field=TARGET_COLUMN,\n", " model_endpoint=endpoint_name,\n", " monitoring_interval=1,\n", - " auto_retraining_params=pipeline_params,\n", + " # auto_retraining_params=pipeline_params, # only works if use_ci=True\n", " drift_thresholds={'Area': 0.000001, 'Perimeter': 0.000001},\n", " skew_thresholds={'Area': 0.000001, 'Perimeter': 0.000001},\n", " training_dataset=f'bq://{TRAINING_DATASET}',\n", @@ -1232,7 +1246,7 @@ " build_trigger_location='us-central1', # default\n", " build_trigger_name=None, # default\n", " custom_training_job_specs=None, # default\n", - " deployment_framework='cloud-build', # default\n", + " deployment_framework='github-actions', # default\n", " naming_prefix='automlops-default-prefix', # default\n", " orchestration_framework='kfp', # default\n", " pipeline_job_runner_service_account=None, # default\n", @@ -1249,7 +1263,7 @@ " setup_model_monitoring=False, # default\n", " source_repo_branch='automlops', # default\n", " source_repo_name=None, # default\n", - " source_repo_type='cloud-source-repositories', # default\n", + " source_repo_type='github', # default\n", " storage_bucket_location='us-central1', # default\n", " storage_bucket_name=None, # default\n", " use_ci=False, # default\n", diff --git a/examples/training/01_clustering_example.ipynb b/examples/training/01_clustering_example.ipynb index 9bb11d3..dbb936a 100644 --- a/examples/training/01_clustering_example.ipynb +++ b/examples/training/01_clustering_example.ipynb @@ -105,7 +105,6 @@ "- [pubsub.googleapis.com](https://cloud.google.com/pubsub/docs/reference/rest)\n", "- [run.googleapis.com](https://cloud.google.com/run/docs/reference/rest)\n", "- [storage.googleapis.com](https://cloud.google.com/storage/docs/apis)\n", - "- [sourcerepo.googleapis.com](https://cloud.google.com/source-repositories/docs/reference/rest)\n", "\n", "\n", "AutoMLOps will create the following service account and update [IAM permissions](https://cloud.google.com/iam/docs/understanding-roles) during the provision step:\n", @@ -128,7 +127,6 @@ "- Vertex AI\n", "- Artifact Registry\n", "- Cloud Storage\n", - "- Cloud Source Repository\n", "- Cloud Build\n", "- Cloud Run\n", "- Cloud Scheduler\n", @@ -488,12 +486,29 @@ } ], "source": [ + "# Setup using local scripts and cloudbuild:\n", "AutoMLOps.generate(project_id=PROJECT_ID,\n", " pipeline_params=pipeline_params,\n", - " use_ci=True,\n", + " use_ci=False,\n", " naming_prefix=MODEL_ID,\n", - " schedule_pattern='59 11 * * 0' # retrain every Sunday at Midnight\n", - ")" + " deployment_framework='cloud-build',\n", + ")\n", + "\n", + "# # Setup using Github, Github Actions, and Terraform:\n", + "# AutoMLOps.generate(project_id=PROJECT_ID,\n", + "# pipeline_params=pipeline_params,\n", + "# naming_prefix=MODEL_ID,\n", + "# schedule_pattern='59 11 * * 0', # retrain every Sunday at Midnight\n", + "# use_ci=True,\n", + "# deployment_framework='github-actions',\n", + "# provisioning_framework='terraform', \n", + "# source_repo_type='github',\n", + "# project_number='',\n", + "# source_repo_name='',\n", + "# workload_identity_pool='',\n", + "# workload_identity_provider='',\n", + "# workload_identity_service_account=''\n", + "# )" ] }, { diff --git a/examples/training/02_tensorflow_transfer_learning_gpu_example.ipynb b/examples/training/02_tensorflow_transfer_learning_gpu_example.ipynb index d69c695..d6862d8 100644 --- a/examples/training/02_tensorflow_transfer_learning_gpu_example.ipynb +++ b/examples/training/02_tensorflow_transfer_learning_gpu_example.ipynb @@ -106,7 +106,6 @@ "- [pubsub.googleapis.com](https://cloud.google.com/pubsub/docs/reference/rest)\n", "- [run.googleapis.com](https://cloud.google.com/run/docs/reference/rest)\n", "- [storage.googleapis.com](https://cloud.google.com/storage/docs/apis)\n", - "- [sourcerepo.googleapis.com](https://cloud.google.com/source-repositories/docs/reference/rest)\n", "\n", "\n", "AutoMLOps will create the following service account and update [IAM permissions](https://cloud.google.com/iam/docs/understanding-roles) during the provision step:\n", @@ -129,7 +128,6 @@ "- Vertex AI\n", "- Artifact Registry\n", "- Cloud Storage\n", - "- Cloud Source Repository\n", "- Cloud Build\n", "- Cloud Run\n", "- Cloud Scheduler\n", @@ -587,10 +585,10 @@ "metadata": {}, "outputs": [], "source": [ - "AutoMLOps.launchAll(project_id=PROJECT_ID, \n", - " pipeline_params=pipeline_params, \n", - " use_ci=True,\n", - " schedule_pattern='59 11 * * 0', # retrain every Sunday at Midnight\n", + "# Setup using local scripts and cloudbuild:\n", + "AutoMLOps.launchAll(project_id=PROJECT_ID,\n", + " pipeline_params=pipeline_params,\n", + " use_ci=False,\n", " base_image=TRAINING_IMAGE,\n", " naming_prefix=MODEL_ID,\n", " custom_training_job_specs = [{\n", @@ -599,8 +597,33 @@ " 'machine_type': 'a2-highgpu-1g',\n", " 'accelerator_type': 'NVIDIA_TESLA_V100',\n", " 'accelerator_count': 1\n", - " }]\n", - ")" + " }],\n", + " deployment_framework='cloud-build',\n", + ")\n", + "\n", + "# # Setup using Github and Github Actions:\n", + "# AutoMLOps.launchAll(project_id=PROJECT_ID,\n", + "# pipeline_params=pipeline_params,\n", + "# base_image=TRAINING_IMAGE,\n", + "# naming_prefix=MODEL_ID,\n", + "# custom_training_job_specs = [{\n", + "# 'component_spec': 'custom_train_model',\n", + "# 'display_name': 'train-model-accelerated',\n", + "# 'machine_type': 'a2-highgpu-1g',\n", + "# 'accelerator_type': 'NVIDIA_TESLA_V100',\n", + "# 'accelerator_count': 1\n", + "# }],\n", + "# schedule_pattern='59 11 * * 0', # retrain every Sunday at Midnight\n", + "# use_ci=True,\n", + "# deployment_framework='github-actions',\n", + "# provisioning_framework='terraform', \n", + "# source_repo_type='github',\n", + "# project_number='',\n", + "# source_repo_name='',\n", + "# workload_identity_pool='',\n", + "# workload_identity_provider='',\n", + "# workload_identity_service_account=''\n", + "# )" ] } ], diff --git a/examples/training/03_bqml_introduction_training_example.ipynb b/examples/training/03_bqml_introduction_training_example.ipynb index ae3d16f..d361b47 100644 --- a/examples/training/03_bqml_introduction_training_example.ipynb +++ b/examples/training/03_bqml_introduction_training_example.ipynb @@ -107,7 +107,6 @@ "- [pubsub.googleapis.com](https://cloud.google.com/pubsub/docs/reference/rest)\n", "- [run.googleapis.com](https://cloud.google.com/run/docs/reference/rest)\n", "- [storage.googleapis.com](https://cloud.google.com/storage/docs/apis)\n", - "- [sourcerepo.googleapis.com](https://cloud.google.com/source-repositories/docs/reference/rest)\n", "\n", "\n", "AutoMLOps will create the following service account and update [IAM permissions](https://cloud.google.com/iam/docs/understanding-roles) during the provision step:\n", @@ -130,7 +129,6 @@ "- Vertex AI\n", "- Artifact Registry\n", "- Cloud Storage\n", - "- Cloud Source Repository\n", "- Cloud Build\n", "- Cloud Run\n", "- Cloud Scheduler\n", @@ -674,12 +672,29 @@ } ], "source": [ + "# Setup using local scripts and cloudbuild:\n", "AutoMLOps.generate(project_id=PROJECT_ID,\n", " pipeline_params=pipeline_params,\n", - " use_ci=True,\n", + " use_ci=False,\n", " naming_prefix=MODEL_ID,\n", - " schedule_pattern='59 11 * * 0' # retrain every Sunday at Midnight\n", - ")" + " deployment_framework='cloud-build',\n", + ")\n", + "\n", + "# # Setup using Github, Github Actions, and Terraform:\n", + "# AutoMLOps.generate(project_id=PROJECT_ID,\n", + "# pipeline_params=pipeline_params,\n", + "# naming_prefix=MODEL_ID,\n", + "# schedule_pattern='59 11 * * 0', # retrain every Sunday at Midnight\n", + "# use_ci=True,\n", + "# deployment_framework='github-actions',\n", + "# provisioning_framework='terraform', \n", + "# source_repo_type='github',\n", + "# project_number='',\n", + "# source_repo_name='',\n", + "# workload_identity_pool='',\n", + "# workload_identity_provider='',\n", + "# workload_identity_service_account=''\n", + "# )" ] }, { diff --git a/examples/training/04_bqml_forecasting-retail-demand.ipynb b/examples/training/04_bqml_forecasting-retail-demand.ipynb index 3df1d3e..95b66be 100644 --- a/examples/training/04_bqml_forecasting-retail-demand.ipynb +++ b/examples/training/04_bqml_forecasting-retail-demand.ipynb @@ -126,7 +126,6 @@ "- [pubsub.googleapis.com](https://cloud.google.com/pubsub/docs/reference/rest)\n", "- [run.googleapis.com](https://cloud.google.com/run/docs/reference/rest)\n", "- [storage.googleapis.com](https://cloud.google.com/storage/docs/apis)\n", - "- [sourcerepo.googleapis.com](https://cloud.google.com/source-repositories/docs/reference/rest)\n", "\n", "\n", "AutoMLOps will create the following service account and update [IAM permissions](https://cloud.google.com/iam/docs/understanding-roles) during the provision step:\n", @@ -149,7 +148,6 @@ "- Vertex AI\n", "- Artifact Registry\n", "- Cloud Storage\n", - "- Cloud Source Repository\n", "- Cloud Build\n", "- Cloud Run\n", "- Cloud Scheduler\n", @@ -4671,12 +4669,29 @@ } ], "source": [ + "# Setup using local scripts and cloudbuild:\n", "AutoMLOps.generate(project_id=PROJECT_ID,\n", " pipeline_params=pipeline_params,\n", - " use_ci=True,\n", + " use_ci=False,\n", " naming_prefix=MODEL_ID,\n", - " schedule_pattern='59 11 * * 0' # retrain every Sunday at Midnight\n", - ")" + " deployment_framework='cloud-build',\n", + ")\n", + "\n", + "# # Setup using Github, Github Actions, and Terraform:\n", + "# AutoMLOps.generate(project_id=PROJECT_ID,\n", + "# pipeline_params=pipeline_params,\n", + "# naming_prefix=MODEL_ID,\n", + "# schedule_pattern='59 11 * * 0', # retrain every Sunday at Midnight\n", + "# use_ci=True,\n", + "# deployment_framework='github-actions',\n", + "# provisioning_framework='terraform', \n", + "# source_repo_type='github',\n", + "# project_number='',\n", + "# source_repo_name='',\n", + "# workload_identity_pool='',\n", + "# workload_identity_provider='',\n", + "# workload_identity_service_account=''\n", + "# )" ] }, { diff --git a/google_cloud_automlops/AutoMLOps.py b/google_cloud_automlops/AutoMLOps.py index ae1d2c8..03588ef 100644 --- a/google_cloud_automlops/AutoMLOps.py +++ b/google_cloud_automlops/AutoMLOps.py @@ -109,7 +109,7 @@ def launchAll( build_trigger_location: Optional[str] = DEFAULT_RESOURCE_LOCATION, build_trigger_name: Optional[str] = None, custom_training_job_specs: Optional[List[Dict]] = None, - deployment_framework: Optional[str] = Deployer.CLOUDBUILD.value, + deployment_framework: Optional[str] = Deployer.GITHUB_ACTIONS.value, naming_prefix: Optional[str] = DEFAULT_NAMING_PREFIX, orchestration_framework: Optional[str] = Orchestrator.KFP.value, pipeline_job_runner_service_account: Optional[str] = None, @@ -127,7 +127,7 @@ def launchAll( setup_model_monitoring: Optional[bool] = False, source_repo_branch: Optional[str] = DEFAULT_SOURCE_REPO_BRANCH, source_repo_name: Optional[str] = None, - source_repo_type: Optional[str] = CodeRepository.CLOUD_SOURCE_REPOSITORIES.value, + source_repo_type: Optional[str] = CodeRepository.GITHUB.value, storage_bucket_location: Optional[str] = DEFAULT_RESOURCE_LOCATION, storage_bucket_name: Optional[str] = None, hide_warnings: Optional[bool] = True, @@ -226,7 +226,7 @@ def generate( build_trigger_location: Optional[str] = DEFAULT_RESOURCE_LOCATION, build_trigger_name: Optional[str] = None, custom_training_job_specs: Optional[List[Dict]] = None, - deployment_framework: Optional[str] = Deployer.CLOUDBUILD.value, + deployment_framework: Optional[str] = Deployer.GITHUB_ACTIONS.value, naming_prefix: Optional[str] = DEFAULT_NAMING_PREFIX, orchestration_framework: Optional[str] = Orchestrator.KFP.value, pipeline_job_runner_service_account: Optional[str] = None, @@ -243,7 +243,7 @@ def generate( setup_model_monitoring: Optional[bool] = False, source_repo_branch: Optional[str] = DEFAULT_SOURCE_REPO_BRANCH, source_repo_name: Optional[str] = None, - source_repo_type: Optional[str] = CodeRepository.CLOUD_SOURCE_REPOSITORIES.value, + source_repo_type: Optional[str] = CodeRepository.GITHUB.value, storage_bucket_location: Optional[str] = DEFAULT_RESOURCE_LOCATION, storage_bucket_name: Optional[str] = None, use_ci: Optional[bool] = False, diff --git a/google_cloud_automlops/utils/enums.py b/google_cloud_automlops/utils/enums.py index 033988a..19e3a35 100644 --- a/google_cloud_automlops/utils/enums.py +++ b/google_cloud_automlops/utils/enums.py @@ -59,7 +59,7 @@ class CodeRepository(Enum): """Enum representing the available options for source code repositories.""" BITBUCKET = 'bitbucket' # roadmap item - CLOUD_SOURCE_REPOSITORIES = 'cloud-source-repositories' + # CLOUD_SOURCE_REPOSITORIES = 'cloud-source-repositories' # deprecated GITHUB = 'github' GITLAB = 'gitlab' # roadmap item From 12f5a747c3e3ab7b6e0132fd6b2652c6ac1260ae Mon Sep 17 00:00:00 2001 From: Sean Rastatter Date: Mon, 4 Nov 2024 12:38:04 -0500 Subject: [PATCH 2/4] v1.3.1 - GHA set as default --- CHANGELOG.md | 21 +++ README.md | 2 + assets/deploy/github_actions/image1.png | Bin 0 -> 78305 bytes assets/deploy/github_actions/image2.png | Bin 0 -> 53060 bytes assets/deploy/github_actions/image3.png | Bin 0 -> 278839 bytes assets/deploy/github_actions/image4.png | Bin 0 -> 304302 bytes assets/deploy/github_actions/image5.png | Bin 0 -> 213402 bytes assets/deploy/github_actions/image6.png | Bin 0 -> 283190 bytes docs/Using Github With AMO.md | 149 ++++++++++++++++++ .../00_batch_prediction_example.ipynb | 2 +- ...00_llmops_finetuning_flan_t5_example.ipynb | 2 +- .../00_introduction_training_example.ipynb | 16 +- ...troduction_training_example_no_notebook.py | 11 +- examples/training/01_clustering_example.ipynb | 2 +- ...orflow_transfer_learning_gpu_example.ipynb | 4 +- ...3_bqml_introduction_training_example.ipynb | 2 +- .../04_bqml_forecasting-retail-demand.ipynb | 2 +- .../github_actions/github_actions.yaml.j2 | 4 +- google_cloud_automlops/utils/utils.py | 6 +- 19 files changed, 198 insertions(+), 25 deletions(-) create mode 100644 assets/deploy/github_actions/image1.png create mode 100644 assets/deploy/github_actions/image2.png create mode 100644 assets/deploy/github_actions/image3.png create mode 100644 assets/deploy/github_actions/image4.png create mode 100644 assets/deploy/github_actions/image5.png create mode 100644 assets/deploy/github_actions/image6.png create mode 100644 docs/Using Github With AMO.md diff --git a/CHANGELOG.md b/CHANGELOG.md index 677dc6e..25b392e 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,6 +1,27 @@ # Change Log All notable changes to this project will be documented in this file. +## [1.3.1] - 2024-10-30 + +### Added + +- Guide explaining how to set up Workload Identity Federation for AutoMLOps +- Created new docs/ directory + +### Changed + +- Made `github` and `github-actions` the default options for `source_repo_type` and `deployment_framework` respectively +- Updated example notebooks so that they are set to `use_ci=False` by default +- Provided samples in the example notebooks that demonstrate how to use the `github` and `github_actions` setup +- Added a guide for setting up Workload Identity Federation +- Updated github actions op versions (checkout and auth) + +### Fixed + +- Fixed broken default of now deprecated Cloud Source Repositories +- Updated sklearn version of training example00 to use v1.3 +- Removed `build_trigger_location` from resources manifest output + ## [1.3.0] - 2024-5-22 ### Added diff --git a/README.md b/README.md index 4076a2c..eed2d19 100644 --- a/README.md +++ 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z_Z%V#7@b@$tK30DB1&0!)A&$PfscrMSuS{bgOmi;8FBRh`(0aBy%-;p@aUjc!}2OY=g*!8tlf;w`3Wc(>&&M%mB9j#3=elru zjfD&!rZt4Y2J@CTBDbLzdv07x1raii4B~3#=f?n|C=3ZJ&+S)7lqUu^iWt#Ck4C&w zuqX%*1{)g0--Xb1l5{FOYLEjVG9ykR_-JAU=2*YPz(!l!ySk59O&mFLr1`n&Q7kyZ zL?ppfARuDR+|zbKA_;yv;!%k(5)^lcPoy5swG*@z+m|2O=md z9_gcCIfDTD@Z{bQcp+rM0Snaq_3%F#kCJQ^f%Z6lz}KQ z8~Lg*zb8$5_U#oIpXoo`_G4j*OVa7v)YZPJy%T2=k}dfX-+TdElo%sJ&l)!(h3MX) zEiGATNrOJ=Bf-kNIMfbfV@t}&7{s*rELdz`1_p9MW9$a + +\[Optional\] Create repository via Terraform + +``` +resource "github_repository" "my_repo" { + name = "my_cool_repo" + description = "My awesome codebase" + visibility = "private" +} +``` + +## **Set up SSH connection** + +Follow [this guide](https://docs.github.com/en/authentication/connecting-to-github-with-ssh) on how to add your SSH keys to the environment from where you are running the AutoMLOps commands. + +## **Pre-requisites** + +Ensure that you have the following IAM Roles to provision an Identity Pool: + +* roles/iam.workloadIdentityPoolAdmin + +**Set up [Workload Identity Federation](https://cloud.google.com/iam/docs/workload-identity-federation) (WIF) for GitHub Actions** + +1. Create an Identity Pool in GCP +

    + image2 +

    +- Enter a pool name and click ‘Continue’. Example details: + - Name: automlops-1-github-pool + - Pool ID: automlops-1-github-pool + - \ + +2. Create an Identity Provider and add it to the pool: + +

    + image3 +

    + +

    + image4 +

    + +- Fill in the attributes and conditions for the provider with the following details: + + - #### Provider type: OpenID Connect (OIDC) + + - Provider Name: automlops-github-provider + - Provider ID: automlops-github-provider + - Issuer (URL): https://token.actions.githubusercontent.com/ + - JWK file (JSON): \ + - Audiences: \

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