{"id":27161990,"url":"https://github.com/moj-analytical-services/data-engineering-exports","last_synced_at":"2025-04-09T00:58:40.538Z","repository":{"id":158246866,"uuid":"341953751","full_name":"moj-analytical-services/data-engineering-exports","owner":"moj-analytical-services","description":"Infrastructure to allow data from the Analytical Platform to be accessed by other services","archived":false,"fork":false,"pushed_at":"2025-03-12T15:51:08.000Z","size":222,"stargazers_count":3,"open_issues_count":7,"forks_count":2,"subscribers_count":19,"default_branch":"main","last_synced_at":"2025-03-12T16:37:58.612Z","etag":null,"topics":["analytical-platform","aws","data-engineering","pulumi","python"],"latest_commit_sha":null,"homepage":"","language":"Python","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/moj-analytical-services.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":".github/CODEOWNERS","security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2021-02-24T15:58:03.000Z","updated_at":"2025-03-12T15:51:11.000Z","dependencies_parsed_at":"2023-11-22T12:28:28.948Z","dependency_job_id":"a83b3d50-5caa-404f-b5a8-4fb653e688d5","html_url":"https://github.com/moj-analytical-services/data-engineering-exports","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":"moj-analytical-services/data-engineering-template","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/moj-analytical-services%2Fdata-engineering-exports","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/moj-analytical-services%2Fdata-engineering-exports/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/moj-analytical-services%2Fdata-engineering-exports/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/moj-analytical-services%2Fdata-engineering-exports/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/moj-analytical-services","download_url":"https://codeload.github.com/moj-analytical-services/data-engineering-exports/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247953058,"owners_count":21023947,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["analytical-platform","aws","data-engineering","pulumi","python"],"created_at":"2025-04-09T00:58:40.047Z","updated_at":"2025-04-09T00:58:40.531Z","avatar_url":"https://github.com/moj-analytical-services.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Data engineering exports\n\nThis repository lets you export data from the Analytical Platform to other platforms. For now, this means the HMPPS Performance Hub or the Ministry of Justice Cloud Platform. Message us on the #ask-data-engineering Slack channel if you want to connect to somewhere else.\n\nYou must have a data protection impact assessment (DPIA), data sharing agreement or similar documentation confirming you can transfer the data to the destination.\n\n## Ways to export\n\nThere are 2 ways to export your data:\n\n- a 'push bucket', which will send any data you put in it to a bucket in another account\n- a 'pull bucket', which is on the Analytical Platform but whose contents are visible to a specific external user\n\nBoth are fine in principle - your team may prefer one or the other. Contact us on the #ask-data-engineering Slack channel to discuss it.\n\nAt the moment pull buckets only work if the other platform is also on Amazon Web Services. It isn't currently an option for Microsoft Azure or Google Cloud Platform. But contact us if you need one of these - we can add it, it just hasn't been needed yet.\n\n\n## Setting up exports\n\nYou can request either bucket type through this repository. The Analytical Platform has advice on [working with GitHub branches](https://user-guidance.services.alpha.mojanalytics.xyz/github.html#working-on-a-branch).\n\nThis guide uses an example dataset called \u003c\u003cnew_project\u003e\u003e. Wherever this appears, insert the name of your own dataset. Make sure you remove the \u003c\u003c\u003e\u003e - this is just to show you what to change.\n\nOnly use lower case and underscores in your dataset name.\n\n1. Create a new branch in this repository called either `push_dataset/\u003c\u003cnew_project\u003e\u003e` or `pull_dataset/\u003c\u003cnew_project\u003e\u003e`\n2. Create a new file in either `pull_datasets` or `push_datasets` called `new_project.yaml`\n3. Add your project name, target bucket (the bucket you want the files to go to  **without** the  `aws:arn:s3:::` prefix), list of Analytical Platform usernames, and link to your DPIA, like this:\n\n``` yaml\n  name: new_project\n  bucket: target-bucket-name\n  users:\n    - alpha_user_one\n    - alpha_user_two\n  paperwork: link to your DPIA\n```\n\n4. For a pull dataset, you must also add the Amazon Web Services 'ARNs' of the **roles** (not the buckets) that should have access to the bucket. Talk to your Cloud Platform team to get these - or contact us to discuss it. Your config should end up looking like this:\n\n``` yaml\n  name: new_project\n  pull_arns:\n    - arn:aws:iam::1234567890:role/role-name-1\n    - arn:aws:iam::1234567890:role/role-name-2\n  users:\n    - alpha_user_one\n    - alpha_user_two\n  paperwork: link to your DPIA\n```\n\n5. Commit the file and push it to GitHub\n6. Create a new pull request and request a review from the data engineering team.  Once this is approved, you can merge your PR: this doesn't happen automatically, so don't forget.\n7. Once your changes are in the `main` branch, request a data engineer to `pulumi up` which deploys your changes to the infrastructure.  They will tell you when it's ready.  If you have access to the data engineering SSO role, then you can do this yourself [following the instructions](./CONTRIBUTING.md).\n8. If you can't see your new role in IAM (in our example it's `export_new_project-move`) then your changes haven't been deployed.  You may need to wait 24 hours.\n\n## Exporting from your bucket\n\nHow often you can export is limited by AWS Lambda, which has a complex rate limiting and burst quota system.  When you upload a file to the export bucket, this triggers a Lambda function to send your file to the recipient and delete it from the export bucket.  If you are likely to export more than ~1,000 files per second please contact data engineering.\n\nHow large a file you can export is limited by how the files are sent.  The maximum file size in S3 is 5,000 GB (5 TB): this is the largest file you can store in the bucket.  However, it may not export: the file size limit for a single `PUT` operation is 5 GB.  If you need to export files larger than 5 GB please contact data engineering,\n\nIf your project causes `500` or `503` status errors see [here](https://repost.aws/knowledge-center/http-5xx-errors-s3): you may be close to the [limits](https://docs.aws.amazon.com/AmazonS3/latest/userguide/optimizing-performance.html) of 3,500 `COPY` or `PUT` operations per second.\n\n### Exporting data from a push bucket\n\nThe users in your dataset file will now have permission to add files to any path beginning with: `s3://mojap-hub-exports/new_project/`.\n\nYou **must** include the project name in the path. For example, you could write a file to `s3://mojap-hub-exports/new_project/my_data.csv`, but not to `s3://mojap-hub-exports/my_data.csv`.  In the management console, you will not see the folder `s3://mojap-hub-exports/new_project/` until there is at least one file in it.\n\nFor how to move files, see the Analytical Platform guide to [writing to an S3 bucket](https://user-guidance.services.alpha.mojanalytics.xyz/data/data-faqs/#how-do-i-read-write-data-from-an-s3-bucket).\n\nThe owner of the receiving bucket must add permission to their bucket policy for the exporter to write (`PutObject` in AWS language) to that bucket.  Ther service role for the project `new_project` is `arn:aws:iam::593291632749:role/service-role/export_new_project-move`.\n\nAfter you send files to this location they will be copied to your target bucket, then deleted from `mojap-hub-exports`.\n\n### Exporting data from a pull bucket\n\nYou will be given a bucket called `mojap-new-project` - the name of your project, prefixed with `mojap` (this means it's managed by data engineering rather than the Analytical Platform team).\n\nThe users in your dataset file will have read and write access to this bucket.\n\nThe 'pull ARNs' in your dataset file have read-only access to the bucket.\n\n### Use with Cloud Platform\n\nThis tool can be used to allow data from the Analytical Platform buckets to be read by the Cloud Platform. In order to do this, you need to setup a cross IAM role using terraform in the [cloud-platform-environments](https://github.com/ministryofjustice/cloud-platform-environments) repository (an example is [here](https://github.com/ministryofjustice/cloud-platform-environments/blob/main/namespaces/live.cloud-platform.service.justice.gov.uk/ops-pilot-test/resources/cross-iam-role-sa.tf)). The key part is:\n\n```\nresource \"kubernetes_secret\" \"irsa\" {\n  metadata {\n    name      = \"irsa-output\"\n    namespace = var.namespace\n  }\n  data = {\n    role           = module.irsa.aws_iam_role_name\n    serviceaccount = module.irsa.service_account_name.name\n  }\n```\nOnce deployed, you can then get the IAM role using the following:\n\n`cloud-platform decode-secret -n \u003cnamespace\u003e -s irsa-name`\n\nOnce you have the `data` from the response. You can use this as your ARN in your `.yaml` file (note, the CP Account is `754256621582`)\n\n\n## Reporting bugs and asking for features\n\nOpen an issue in this repository or contact the #ask-data-engineering Slack channel.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmoj-analytical-services%2Fdata-engineering-exports","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmoj-analytical-services%2Fdata-engineering-exports","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmoj-analytical-services%2Fdata-engineering-exports/lists"}