// Model registry and deployment history (model-registry-and-deployment-history) v1 — Prisma seed // Synthetic sample data, CC0-1.0. Generated deterministically; re-running the // generator with the same spec and seed reproduces this file exactly. // // Delegates are named after the tables (prisma.models), which assumes models // mapped to those table names. Rename the delegates if your models differ. import { PrismaClient } from '@prisma/client'; const prisma = new PrismaClient(); async function main() { await prisma.models.createMany({ data: [ { id: 1, scope: "registry", model_key: "churn-classifier", task: "classification", owner_team: "Growth", first_registered_at: new Date("2024-02-23T15:39:50Z") }, { id: 2, scope: "registry", model_key: "demand-forecaster", task: "forecasting", owner_team: "Supply chain", first_registered_at: new Date("2025-03-28T23:05:58Z") }, { id: 3, scope: "registry", model_key: "fraud-scorer", task: "classification", owner_team: "Risk", first_registered_at: new Date("2024-02-22T15:38:04Z") }, { id: 4, scope: "registry", model_key: "search-reranker", task: "ranking", owner_team: "Search", first_registered_at: new Date("2024-08-17T21:44:43Z") }, { id: 5, scope: "registry", model_key: "image-tagger", task: "vision", owner_team: "Content", first_registered_at: new Date("2025-01-28T02:27:57Z") }, { id: 6, scope: "registry", model_key: "support-intent-router", task: "text classification", owner_team: "Support", first_registered_at: new Date("2024-05-23T11:25:22Z") }, { id: 7, scope: "registry", model_key: "price-optimizer", task: "regression", owner_team: "Pricing", first_registered_at: new Date("2025-01-26T11:07:06Z") }, { id: 8, scope: "registry", model_key: "recommendation-ranker", task: "ranking", owner_team: "Growth", first_registered_at: new Date("2024-08-13T15:53:13Z") }, { id: 9, scope: "registry", model_key: "doc-summariser", task: "summarisation", owner_team: "Content", first_registered_at: new Date("2025-01-08T18:54:13Z") }, { id: 10, scope: "registry", model_key: "anomaly-detector", task: "anomaly detection", owner_team: "Platform", first_registered_at: new Date("2025-05-28T11:18:18Z") }, { id: 11, scope: "registry", model_key: "eta-predictor", task: "regression", owner_team: "Logistics", first_registered_at: new Date("2024-07-04T11:04:01Z") }, { id: 12, scope: "registry", model_key: "spam-filter", task: "classification", owner_team: "Trust", first_registered_at: new Date("2024-09-17T18:01:40Z") }, { id: 13, scope: "registry", model_key: "query-autocomplete", task: "ranking", owner_team: "Search", first_registered_at: new Date("2024-09-07T17:22:33Z") }, { id: 14, scope: "registry", model_key: "credit-limit-model", task: "regression", owner_team: "Risk", first_registered_at: new Date("2024-02-19T23:40:03Z") }, { id: 15, scope: "registry", model_key: "speech-transcriber", task: "speech", owner_team: "Support", first_registered_at: new Date("2025-01-23T13:30:06Z") }, { id: 16, scope: "registry", model_key: "ad-click-predictor", task: "classification", owner_team: "Growth", first_registered_at: new Date("2024-09-30T18:22:47Z") }, { id: 17, scope: "registry", model_key: "inventory-replenisher", task: "forecasting", owner_team: "Supply chain", first_registered_at: new Date("2024-02-15T18:13:10Z") }, { id: 18, scope: "registry", model_key: "sentiment-scorer", task: "text classification", owner_team: "Support", first_registered_at: new Date("2025-04-29T18:33:53Z") }, ], }); await prisma.model_versions.createMany({ data: [ { id: 1, model_id: 6, version_no: 1, registered_at: new Date("2024-05-29T07:16:45Z"), registered_by: "Elbert", framework: "pytorch", commit_sha: "6aedaafcdea0cb2630b14ede96ed1e0364d27f1d", artifact_size_mb: "39.0", change_summary: "Added calibration after the main training run." }, { id: 2, model_id: 3, version_no: 1, registered_at: new Date("2024-03-01T11:32:50Z"), registered_by: "Jamaal", framework: "pytorch", commit_sha: "0efe208ded99a50edcfa3b5aaac5ad4f4dad604c", artifact_size_mb: "45.1", change_summary: "Rebuilt with a newer runtime version." }, { id: 3, model_id: 1, version_no: 1, registered_at: new Date("2024-03-12T14:09:27Z"), registered_by: "Jerel", framework: "scikit-learn", commit_sha: "6472b3fed41ac806fcdcb6bd70c3c84371a8395a", artifact_size_mb: "46.0", change_summary: "Pruned the model to fit the latency budget." }, { id: 4, model_id: 2, version_no: 1, registered_at: new Date("2025-04-02T22:04:11Z"), registered_by: "Larry", framework: "onnx runtime", commit_sha: "dd8e03acd524f045b569c6d3e5acfcc9c174cdb2", artifact_size_mb: "34.1", change_summary: "Rebuilt with a newer runtime version." }, { id: 5, model_id: 13, version_no: 1, registered_at: new Date("2024-09-29T06:38:16Z"), registered_by: "Damon", framework: "pytorch", commit_sha: "ca310f8ecebead56243ec0540f6cec26b0efe310", artifact_size_mb: "36.2", change_summary: "Swapped the loss function after a review." }, { id: 6, model_id: 15, version_no: 1, registered_at: new Date("2025-02-01T00:09:06Z"), registered_by: "Alta", framework: "tensorflow", commit_sha: "3dce4a5482eedfaeeeabc7cd193678becbdd0575", artifact_size_mb: "43.1", change_summary: "Rolled back an experiment that did not ship." }, { id: 7, model_id: 15, version_no: 2, registered_at: new Date("2025-02-21T03:01:24Z"), registered_by: "Dameon", framework: "xgboost", commit_sha: "57a5b1fc7ed2b6e40609bba814f620d669b5cbd0", artifact_size_mb: "48.0", change_summary: "Retrained on the latest month of data." }, { id: 8, model_id: 6, version_no: 2, registered_at: new Date("2024-07-01T08:36:39Z"), registered_by: "Scotty", framework: "pytorch", commit_sha: "0f4aee07c98f16b50f1afd11ec0e3ccda0ad09ea", artifact_size_mb: "60.4", change_summary: "Changed the threshold used in the serving wrapper." }, { id: 9, model_id: 6, version_no: 3, registered_at: new Date("2024-07-26T03:26:05Z"), registered_by: "Sedrick", framework: "pytorch", commit_sha: "6149badeef1fdef89c1d705cae9125e62eecfaee", artifact_size_mb: "52.7", change_summary: "Retrained on the latest month of data." }, { id: 10, model_id: 5, version_no: 1, registered_at: new Date("2025-02-04T11:53:08Z"), registered_by: "Ashlee", framework: "pytorch", commit_sha: "e3bacf271f98ef6ab3b5d9feb78fa1c9ebe3feff", artifact_size_mb: "37.4", change_summary: "Tightened the missing-value handling." }, { id: 11, model_id: 4, version_no: 1, registered_at: new Date("2024-08-24T13:45:59Z"), registered_by: "Steve", framework: "pytorch", commit_sha: "4aa268741b22d293be0aab7e9344ccfa7cecc3e9", artifact_size_mb: "35.9", change_summary: "Fixed a bug in the preprocessing step." }, { id: 12, model_id: 11, version_no: 1, registered_at: new Date("2024-07-17T03:31:01Z"), registered_by: "Tim", framework: "pytorch", commit_sha: "4f6c8baecb4ba7f0debcb34db9d7aab6af397bb5", artifact_size_mb: "40.6", change_summary: "Changed the threshold used in the serving wrapper." }, { id: 13, model_id: 13, version_no: 2, registered_at: new Date("2024-11-09T03:10:54Z"), registered_by: "Bertram", framework: "tensorflow", commit_sha: "6f845dc2bfc2eb7f8bc1ce6db6e8990afdd8617f", artifact_size_mb: "43.5", change_summary: "Added calibration after the main training run." }, { id: 14, model_id: 12, version_no: 1, registered_at: new Date("2024-09-25T03:21:35Z"), registered_by: "Brigitte", framework: "xgboost", commit_sha: "e50d4ee2b43ccbca7c97bbde5b38fcd4abcaf24c", artifact_size_mb: "43.4", change_summary: "Changed the threshold used in the serving wrapper." }, { id: 15, model_id: 1, version_no: 2, registered_at: new Date("2024-04-09T18:27:38Z"), registered_by: "Phyllis", framework: "pytorch", commit_sha: "ef1d9e8aaf1eabdfd6977e24673d10a5be1eae08", artifact_size_mb: "50.5", change_summary: "Updated the label mapping for a renamed category." }, { id: 16, model_id: 5, version_no: 2, registered_at: new Date("2025-03-03T06:29:37Z"), registered_by: "Ronnie", framework: "tensorflow", commit_sha: "ee4ecc5ac6f2a05edc27d97a4b04ea7ffcba1c69", artifact_size_mb: "49.1", change_summary: "Fixed a bug in the preprocessing step." }, { id: 17, model_id: 4, version_no: 2, registered_at: new Date("2024-09-16T01:47:18Z"), registered_by: "Lazaro", framework: "onnx runtime", commit_sha: "5eee9bc5fe8bfdd1d1ef0e7d8ccfbdb42d55fac2", artifact_size_mb: "57.7", change_summary: "Pruned the model to fit the latency budget." }, { id: 18, model_id: 3, version_no: 2, registered_at: new Date("2024-03-25T02:23:25Z"), registered_by: "May", framework: "xgboost", commit_sha: "2b90ec5deac19c01826ff3a892ae21d3cbeecbf4", artifact_size_mb: "46.1", change_summary: "Added calibration after the main training run." }, { id: 19, model_id: 14, version_no: 1, registered_at: new Date("2024-02-24T09:32:05Z"), registered_by: "Suzanne", framework: "pytorch", commit_sha: "31aee779654887eadf5fdebe0a8fa5afd0e43e03", artifact_size_mb: "38.2", change_summary: "Rolled back an experiment that did not ship." }, { id: 20, model_id: 12, version_no: 2, registered_at: new Date("2024-10-28T04:20:50Z"), registered_by: "Elyssa", framework: "pytorch", commit_sha: "e74b60c87fa3cb68e2fe5badc0f207ea110b7d9f", artifact_size_mb: "48.9", change_summary: "Added calibration after the main training run." }, { id: 21, model_id: 6, version_no: 4, registered_at: new Date("2024-08-19T22:05:33Z"), registered_by: "Bernie", framework: "xgboost", commit_sha: "b21f560ba9b3e1f99427c0c95452b5fe3aee51f9", artifact_size_mb: "61.8", change_summary: "Added calibration after the main training run." }, { id: 22, model_id: 4, version_no: 3, registered_at: new Date("2024-10-10T02:57:59Z"), registered_by: "Florencio", framework: "scikit-learn", commit_sha: "feabde4681dc824dbc2bfaaf6567abeae9dc9fbc", artifact_size_mb: "54.0", change_summary: "Pruned the model to fit the latency budget." }, { id: 23, model_id: 3, version_no: 3, registered_at: new Date("2024-04-09T19:15:54Z"), registered_by: "Garrick", framework: "pytorch", commit_sha: "bd5c7dab1d1aeb3c7e21800cb7e7cc9e8adf95ed", artifact_size_mb: "48.8", change_summary: "Pruned the model to fit the latency budget." }, { id: 24, model_id: 16, version_no: 1, registered_at: new Date("2024-10-16T14:08:34Z"), registered_by: "Oceane", framework: "xgboost", commit_sha: "8ca9dda4a52db198906ba8a5ee1ab3dfbfa9fc3f", artifact_size_mb: "34.7", change_summary: "Updated the label mapping for a renamed category." }, { id: 25, model_id: 8, version_no: 1, registered_at: new Date("2024-09-09T10:30:25Z"), registered_by: "Lizzie", framework: "scikit-learn", commit_sha: "debdcedaefd80595b57fd8a383f6f2fc7fbc8c5e", artifact_size_mb: "36.0", change_summary: "Swapped the loss function after a review." }, { id: 26, model_id: 8, version_no: 2, registered_at: new Date("2024-09-26T01:24:52Z"), registered_by: "Werner", framework: "pytorch", commit_sha: "d8cb9a7bdfb7291defbaedabeebfed5bfdd3e7ff", artifact_size_mb: "40.1", change_summary: "Changed the threshold used in the serving wrapper." }, { id: 27, model_id: 13, version_no: 3, registered_at: new Date("2024-12-08T18:56:46Z"), registered_by: "Ozella", framework: "xgboost", commit_sha: "a0ce1d7cbe746e426a1dd63887e5173c09e97d8f", artifact_size_mb: "50.9", change_summary: "Reduced the training window to the last quarter." }, { id: 28, model_id: 14, version_no: 2, registered_at: new Date("2024-03-28T07:56:20Z"), registered_by: "Karli", framework: "xgboost", commit_sha: "ba249f35acad2d8ca844efbaefb01b25edb0d4e0", artifact_size_mb: "44.1", change_summary: "Added two new input features and dropped one." }, { id: 29, model_id: 7, version_no: 1, registered_at: new Date("2025-02-06T01:16:04Z"), registered_by: "Jaron", framework: "scikit-learn", commit_sha: "4c237abff4daca7a3e7565c12f956afabe5859ca", artifact_size_mb: "33.1", change_summary: "Rolled back an experiment that did not ship." }, { id: 30, model_id: 3, version_no: 4, registered_at: new Date("2024-05-20T19:53:37Z"), registered_by: "Antwon", framework: "scikit-learn", commit_sha: "97ab9a3bd4b24bbb144f5c4e2c2aacb25bf15f29", artifact_size_mb: "53.4", change_summary: "Rolled back an experiment that did not ship." }, { id: 31, model_id: 1, version_no: 3, registered_at: new Date("2024-05-19T20:07:26Z"), registered_by: "Malcolm", framework: "xgboost", commit_sha: "4d0fb1fdde6a41f1de7efbbb28e8b6d7346fd956", artifact_size_mb: "55.2", change_summary: "Pruned the model to fit the latency budget." }, { id: 32, model_id: 8, version_no: 3, registered_at: new Date("2024-11-04T23:54:08Z"), registered_by: "Justice", framework: "pytorch", commit_sha: "1c8a972a8f77a0aae9fdc1b4e6acb35ab402ac16", artifact_size_mb: "53.3", change_summary: "Rebuilt with a newer runtime version." }, { id: 33, model_id: 3, version_no: 5, registered_at: new Date("2024-06-06T06:35:54Z"), registered_by: "Roselyn", framework: "xgboost", commit_sha: "d116b01a65eab3fbb83da320f9abdd9ebbea4a3b", artifact_size_mb: "71.0", change_summary: "Updated the label mapping for a renamed category." }, { id: 34, model_id: 16, version_no: 2, registered_at: new Date("2024-11-04T01:55:06Z"), registered_by: "Tabitha", framework: "scikit-learn", commit_sha: "6128fcccc0867c07a412e9cb2d3afbeba4cc6e95", artifact_size_mb: "49.6", change_summary: "Tightened the missing-value handling." }, { id: 35, model_id: 7, version_no: 2, registered_at: new Date("2025-03-05T01:47:42Z"), registered_by: "Lila", framework: "scikit-learn", commit_sha: "d440cba4e766e5b38df63fa4eef2fa191aacfa0c", artifact_size_mb: "42.3", change_summary: "Changed the threshold used in the serving wrapper." }, { id: 36, model_id: 18, version_no: 1, registered_at: new Date("2025-05-25T10:21:48Z"), registered_by: "Newell", framework: "pytorch", commit_sha: "efc4ae95c9ac5bc42b028f41f1373b3c43ef2fdd", artifact_size_mb: "36.6", change_summary: "Rolled back an experiment that did not ship." }, { id: 37, model_id: 11, version_no: 2, registered_at: new Date("2024-08-07T05:08:34Z"), registered_by: "Jermaine", framework: "scikit-learn", commit_sha: "aafcfef5c08fadba1b5d07cac7f152bacf0aa4ed", artifact_size_mb: "47.3", change_summary: "Reduced the training window to the last quarter." }, { id: 38, model_id: 10, version_no: 1, registered_at: new Date("2025-06-10T23:19:13Z"), registered_by: "Burdette", framework: "tensorflow", commit_sha: "f7cb54e1cecaa42a30e8d69d12fcbdee823fcd34", artifact_size_mb: "38.8", change_summary: "Tightened the missing-value handling." }, { id: 39, model_id: 11, version_no: 3, registered_at: new Date("2024-09-07T03:02:20Z"), registered_by: "Madilyn", framework: "xgboost", commit_sha: "d04dfef9ccdb54afe7d72ec1cd5ebffbfedafeae", artifact_size_mb: "53.6", change_summary: "Fixed a bug in the preprocessing step." }, { id: 40, model_id: 18, version_no: 2, registered_at: new Date("2025-07-07T03:28:20Z"), registered_by: "Lilian", framework: "xgboost", commit_sha: "0d9f8bebfefee86df0fd954cca4b671ddbaa3bbf", artifact_size_mb: "38.9", change_summary: "Changed the threshold used in the serving wrapper." }, { id: 41, model_id: 4, version_no: 4, registered_at: new Date("2024-10-28T01:24:48Z"), registered_by: "Brannon", framework: "scikit-learn", commit_sha: "e9aad1746e15d42fe2bbd4a1900dfbbfed1005ab", artifact_size_mb: "55.6", change_summary: "Added two new input features and dropped one." }, { id: 42, model_id: 10, version_no: 2, registered_at: new Date("2025-07-21T12:27:17Z"), registered_by: "Vicenta", framework: "tensorflow", commit_sha: "316bd63ad53dda727451d3d1f11db1feba8af6f6", artifact_size_mb: "49.7", change_summary: "Reduced the training window to the last quarter." }, { id: 43, model_id: 12, version_no: 3, registered_at: new Date("2024-11-27T08:03:25Z"), registered_by: "Lysanne", framework: "scikit-learn", commit_sha: "7dfb7c7a7c5adda45a4dda6bede1f4b2710eaff9", artifact_size_mb: "50.4", change_summary: "Rolled back an experiment that did not ship." }, { id: 44, model_id: 3, version_no: 6, registered_at: new Date("2024-07-05T03:53:03Z"), registered_by: "Damian", framework: "scikit-learn", commit_sha: "4eb0ffeb28eb273aefc9ea74adf1cfecdbd0bd08", artifact_size_mb: "76.5", change_summary: "Rebuilt with a newer runtime version." }, { id: 45, model_id: 7, version_no: 3, registered_at: new Date("2025-04-01T04:54:03Z"), registered_by: "Kari", framework: "pytorch", commit_sha: "88984d985d61cb20f6c3adc1fe7ae3918bfae1f1", artifact_size_mb: "58.7", change_summary: "Fixed a bug in the preprocessing step." }, { id: 46, model_id: 9, version_no: 1, registered_at: new Date("2025-01-21T07:51:03Z"), registered_by: "Alexys", framework: "scikit-learn", commit_sha: "c0d4fbe61a9a7b160eedcacf33f08dc4bfcda0e3", artifact_size_mb: "50.5", change_summary: "Tightened the missing-value handling." }, { id: 47, model_id: 12, version_no: 4, registered_at: new Date("2025-01-03T06:50:50Z"), registered_by: "Jocelyn", framework: "pytorch", commit_sha: "e33e5375a0f713ff9b33dadb10143fa569b1efa2", artifact_size_mb: "58.3", change_summary: "Changed the threshold used in the serving wrapper." }, { id: 48, model_id: 13, version_no: 4, registered_at: new Date("2024-12-29T14:34:27Z"), registered_by: "Nicolas", framework: "pytorch", commit_sha: "615833d0c846a337210d4bb57383f3bcc5f8fbe0", artifact_size_mb: "60.4", change_summary: "Added two new input features and dropped one." }, { id: 49, model_id: 16, version_no: 3, registered_at: new Date("2024-11-22T13:18:30Z"), registered_by: "Elfrieda", framework: "pytorch", commit_sha: "2c86212c61a5f14cdbe2e3019817f01ac2b1863e", artifact_size_mb: "58.6", change_summary: "Swapped the loss function after a review." }, { id: 50, model_id: 7, version_no: 4, registered_at: new Date("2025-04-16T17:47:55Z"), registered_by: "Tim", framework: "tensorflow", commit_sha: "baadffa4ffb3e5badf1e71f20befae9633e1ce3d", artifact_size_mb: "60.0", change_summary: "Retrained on the latest month of data." }, { id: 51, model_id: 5, version_no: 3, registered_at: new Date("2025-03-28T03:08:23Z"), registered_by: "Doyle", framework: "scikit-learn", commit_sha: "fd3ebfa0db6a1efbdf41cabceae7421fb9d30989", artifact_size_mb: "49.2", change_summary: "Swapped the loss function after a review." }, { id: 52, model_id: 8, version_no: 4, registered_at: new Date("2024-12-08T08:31:25Z"), registered_by: "Floy", framework: "tensorflow", commit_sha: "19ee03b862dcd4a6b44bfd5ceebca4342e2ebb9e", artifact_size_mb: "52.5", change_summary: "Fixed a bug in the preprocessing step." }, { id: 53, model_id: 2, version_no: 2, registered_at: new Date("2025-04-23T03:24:16Z"), registered_by: "Imani", framework: "scikit-learn", commit_sha: "039c2c007a41cef62fdadcfcdedaeedcae9f60e1", artifact_size_mb: "34.4", change_summary: "Rebuilt with a newer runtime version." }, { id: 54, model_id: 13, version_no: 5, registered_at: new Date("2025-01-31T21:36:20Z"), registered_by: "Adalberto", framework: "xgboost", commit_sha: "ca8d4460a31f7bb7c8ea0a4aefc19c060c9c36cf", artifact_size_mb: "64.2", change_summary: "Reduced the training window to the last quarter." }, { id: 55, model_id: 18, version_no: 3, registered_at: new Date("2025-08-03T02:39:35Z"), registered_by: "Emil", framework: "xgboost", commit_sha: "8ed283ba119ec2906bfc7eececfdaca36ee4ca7c", artifact_size_mb: "52.7", change_summary: "Swapped the loss function after a review." }, { id: 56, model_id: 10, version_no: 3, registered_at: new Date("2025-08-13T15:11:29Z"), registered_by: "Orin", framework: "pytorch", commit_sha: "d680ac2d1ba09ace62a6ddcff7b216cd646a74cd", artifact_size_mb: "44.2", change_summary: "Tightened the missing-value handling." }, { id: 57, model_id: 7, version_no: 5, registered_at: new Date("2025-05-14T14:45:43Z"), registered_by: "Nyah", framework: "scikit-learn", commit_sha: "7afd5ecea9edf8efd4b6b4ecc2a2dda6e4f9a40f", artifact_size_mb: "68.5", change_summary: "Rebuilt with a newer runtime version." }, { id: 58, model_id: 10, version_no: 4, registered_at: new Date("2025-09-04T22:16:02Z"), registered_by: "Andrew", framework: "tensorflow", commit_sha: "cddc29c0df0a2c7efeffbbfb89ca9d64e5fca9b3", artifact_size_mb: "56.7", change_summary: "Retrained on the latest month of data." }, { id: 59, model_id: 17, version_no: 1, registered_at: new Date("2024-03-12T00:17:30Z"), registered_by: "Joannie", framework: "scikit-learn", commit_sha: "68ebc3dcbb7700d9f2b530777d6d0d17c4cda7a5", artifact_size_mb: "38.8", change_summary: "Fixed a bug in the preprocessing step." }, { id: 60, model_id: 14, version_no: 3, registered_at: new Date("2024-04-26T06:47:27Z"), registered_by: "Ole", framework: "pytorch", commit_sha: "cedaaa7f0bf5851e7ae11ac593be791c6caaf4fe", artifact_size_mb: "48.7", change_summary: "Changed the threshold used in the serving wrapper." }, { id: 61, model_id: 13, version_no: 6, registered_at: new Date("2025-02-24T20:00:37Z"), registered_by: "Matt", framework: "pytorch", commit_sha: "3c40a2abbc1f318468683db9aa0137baed8cf8f6", artifact_size_mb: "74.5", change_summary: "Added two new input features and dropped one." }, { id: 62, model_id: 2, version_no: 3, registered_at: new Date("2025-05-07T06:31:40Z"), registered_by: "Shirley", framework: "scikit-learn", commit_sha: "ac6a7baee38bab2dadb7abdaceb3159fd0f8cd17", artifact_size_mb: "51.3", change_summary: "Rebuilt with a newer runtime version." }, { id: 63, model_id: 10, version_no: 5, registered_at: new Date("2025-09-26T03:43:48Z"), registered_by: "Thaddeus", framework: "pytorch", commit_sha: "f8efbbbf362bd15312c68dcaeca9cdf3482a19d1", artifact_size_mb: "69.3", change_summary: "Swapped the loss function after a review." }, { id: 64, model_id: 15, version_no: 3, registered_at: new Date("2025-03-22T05:29:26Z"), registered_by: "Eleanora", framework: "scikit-learn", commit_sha: "7ecedda84fe693e1dfe97fefe8ad03b43aaf6def", artifact_size_mb: "45.5", change_summary: "Rolled back an experiment that did not ship." }, { id: 65, model_id: 10, version_no: 6, registered_at: new Date("2025-11-03T11:00:21Z"), registered_by: "Makenzie", framework: "onnx runtime", commit_sha: "c71fd168b6ee4d51a0abefabddbab0d6c7695003", artifact_size_mb: "81.1", change_summary: "Fixed a bug in the preprocessing step." }, { id: 66, model_id: 5, version_no: 4, registered_at: new Date("2025-04-24T04:35:49Z"), registered_by: "Cornell", framework: "tensorflow", commit_sha: "ebdb4deadce8ca6d92c8a6c2b8d29d32dabba925", artifact_size_mb: "48.6", change_summary: "Rebuilt with a newer runtime version." }, { id: 67, model_id: 9, version_no: 2, registered_at: new Date("2025-02-14T13:39:19Z"), registered_by: "Ralph", framework: "pytorch", commit_sha: "ef1aaf2f6f1ea68c6983c5cc7bfe6ea9439845f7", artifact_size_mb: "43.0", change_summary: "Fixed a bug in the preprocessing step." }, { id: 68, model_id: 17, version_no: 2, registered_at: new Date("2024-04-16T10:21:30Z"), registered_by: "Chester", framework: "pytorch", commit_sha: "bbad6ccbb0f096cac88d50c8c69c6ecce5cde609", artifact_size_mb: "57.4", change_summary: "Added two new input features and dropped one." }, { id: 69, model_id: 12, version_no: 5, registered_at: new Date("2025-02-09T15:01:04Z"), registered_by: "Ansley", framework: "tensorflow", commit_sha: "0a415cecaf1c6d8a07a02334cc6b3a4f3e3fabeb", artifact_size_mb: "69.6", change_summary: "Added calibration after the main training run." }, { id: 70, model_id: 17, version_no: 3, registered_at: new Date("2024-05-05T02:34:45Z"), registered_by: "Mose", framework: "pytorch", commit_sha: "f2304abd36c3eeeecc67411feff79ab5b2c0a1f1", artifact_size_mb: "49.8", change_summary: "Tightened the missing-value handling." }, { id: 71, model_id: 6, version_no: 5, registered_at: new Date("2024-09-08T14:05:26Z"), registered_by: "Sterling", framework: "scikit-learn", commit_sha: "2faa855cc95736dedbd4df5afaec0da8c5afaa7a", artifact_size_mb: "65.4", change_summary: "Added two new input features and dropped one." }, { id: 72, model_id: 9, version_no: 3, registered_at: new Date("2025-03-03T19:44:21Z"), registered_by: "Bertrand", framework: "onnx runtime", commit_sha: "33f2ac5bd1172caaef3eef4faf519b0dffb629de", artifact_size_mb: "57.7", change_summary: "Tightened the missing-value handling." }, { id: 73, model_id: 14, version_no: 4, registered_at: new Date("2024-06-07T20:48:07Z"), registered_by: "Belle", framework: "xgboost", commit_sha: "f8b5a03ce659cc1deb31afeacd7b861ae4cacfe8", artifact_size_mb: "57.8", change_summary: "Rolled back an experiment that did not ship." }, { id: 74, model_id: 9, version_no: 4, registered_at: new Date("2025-03-23T23:43:44Z"), registered_by: "Hans", framework: "pytorch", commit_sha: "528fccce2f98952b3e0644de5f7d550bdb4dbe65", artifact_size_mb: "57.7", change_summary: "Changed the threshold used in the serving wrapper." }, { id: 75, model_id: 9, version_no: 5, registered_at: new Date("2025-04-16T23:59:37Z"), registered_by: "Mathias", framework: "tensorflow", commit_sha: "28ab7c5ae44dfef3394838dba0c44b74b02e4ddd", artifact_size_mb: "64.4", change_summary: "Added calibration after the main training run." }, { id: 76, model_id: 14, version_no: 5, registered_at: new Date("2024-07-17T02:13:01Z"), registered_by: "Nels", framework: "pytorch", commit_sha: "40e7dea8039733feb5abd10d7dd4ff8eb2d2be4a", artifact_size_mb: "60.5", change_summary: "Rolled back an experiment that did not ship." }, { id: 77, model_id: 11, version_no: 4, registered_at: new Date("2024-10-19T07:35:30Z"), registered_by: "Amely", framework: "scikit-learn", commit_sha: "6d6e87e0e7f6eac8b8d3beeacdfd36e5adb62c8b", artifact_size_mb: "60.2", change_summary: "Added calibration after the main training run." }, { id: 78, model_id: 7, version_no: 6, registered_at: new Date("2025-06-05T23:55:47Z"), registered_by: "Vesta", framework: "xgboost", commit_sha: "a54db3ce02faee58ada675ea904a072ff453d759", artifact_size_mb: "61.6", change_summary: "Reduced the training window to the last quarter." }, { id: 79, model_id: 16, version_no: 4, registered_at: new Date("2024-12-08T01:45:23Z"), registered_by: "Meta", framework: "pytorch", commit_sha: "66bb2ad7c8c9fedbab675a5b558d7abc01a0e76f", artifact_size_mb: "45.7", change_summary: "Pruned the model to fit the latency budget." }, { id: 80, model_id: 14, version_no: 6, registered_at: new Date("2024-08-10T15:01:30Z"), registered_by: "Grayce", framework: "tensorflow", commit_sha: "b23126fe3d1b8bcb92d9c26e5e1add5a77c80bb5", artifact_size_mb: "75.9", change_summary: "Added calibration after the main training run." }, ], }); await prisma.deployments.createMany({ data: [ { id: 1, version_id: 8, environment: "production", deployed_at: new Date("2024-07-16T14:01:39Z"), deployed_by: "Jazmyn", strategy: "rolling", replicas: 2, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 2, version_id: 25, environment: "canary", deployed_at: new Date("2024-09-10T16:24:16Z"), deployed_by: "Emmet", strategy: "rolling", replicas: 10, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 3, version_id: 43, environment: "production", deployed_at: new Date("2024-12-27T15:54:44Z"), deployed_by: "Brendon", strategy: "rolling", replicas: 3, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 4, version_id: 30, environment: "production", deployed_at: new Date("2024-05-23T15:11:14Z"), deployed_by: "Stanford", strategy: "rolling", replicas: 3, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 5, version_id: 5, environment: "production", deployed_at: new Date("2024-10-02T07:00:42Z"), deployed_by: "Elva", strategy: "rolling", replicas: 2, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 6, version_id: 58, environment: "staging", deployed_at: new Date("2025-10-03T07:15:59Z"), deployed_by: "Reggie", strategy: "rolling", replicas: 3, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 7, version_id: 18, environment: "staging", deployed_at: new Date("2024-04-28T14:25:32Z"), deployed_by: "Gillian", strategy: "rolling", replicas: 3, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 8, version_id: 29, environment: "production", deployed_at: new Date("2025-02-23T09:50:07Z"), deployed_by: "Veda", strategy: "canary ramp", replicas: 6, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 9, version_id: 26, environment: "production", deployed_at: new Date("2024-09-26T10:04:22Z"), deployed_by: "Laverne", strategy: "blue-green", replicas: 11, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 10, version_id: 36, environment: "staging", deployed_at: new Date("2025-06-27T18:33:22Z"), deployed_by: "Deven", strategy: "rolling", replicas: 11, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 11, version_id: 4, environment: "staging", deployed_at: new Date("2025-04-23T16:30:03Z"), deployed_by: "Shannon", strategy: "canary ramp", replicas: 2, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 12, version_id: 63, environment: "production", deployed_at: new Date("2025-10-06T09:24:10Z"), deployed_by: "Charley", strategy: "blue-green", replicas: 2, outcome: "rolled back", rolled_back_at: new Date("2025-10-07T17:35:33Z"), rollback_reason: "latency regression" }, { id: 13, version_id: 71, environment: "staging", deployed_at: new Date("2024-09-27T15:55:37Z"), deployed_by: "Elenora", strategy: "rolling", replicas: 2, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 14, version_id: 22, environment: "staging", deployed_at: new Date("2024-10-17T15:22:40Z"), deployed_by: "Katlynn", strategy: "rolling", replicas: 3, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 15, version_id: 28, environment: "production", deployed_at: new Date("2024-04-15T12:34:38Z"), deployed_by: "Lana", strategy: "rolling", replicas: 2, outcome: "rolled back", rolled_back_at: new Date("2024-04-18T11:07:58Z"), rollback_reason: "bad feature input" }, { id: 16, version_id: 28, environment: "staging", deployed_at: new Date("2024-04-21T12:26:04Z"), deployed_by: "Karson", strategy: "blue-green", replicas: 10, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 17, version_id: 63, environment: "staging", deployed_at: new Date("2025-11-01T13:30:44Z"), deployed_by: "Samanta", strategy: "blue-green", replicas: 5, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 18, version_id: 38, environment: "canary", deployed_at: new Date("2025-06-28T14:12:55Z"), deployed_by: "Shawna", strategy: "blue-green", replicas: 4, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 19, version_id: 56, environment: "production", deployed_at: new Date("2025-08-16T18:35:35Z"), deployed_by: "Kiara", strategy: "rolling", replicas: 2, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 20, version_id: 67, environment: "production", deployed_at: new Date("2025-02-18T16:58:30Z"), deployed_by: "Samara", strategy: "canary ramp", replicas: 9, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 21, version_id: 58, environment: "staging", deployed_at: new Date("2025-10-02T15:03:16Z"), deployed_by: "Michale", strategy: "blue-green", replicas: 3, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 22, version_id: 60, environment: "staging", deployed_at: new Date("2024-05-29T15:38:08Z"), deployed_by: "Easton", strategy: "rolling", replicas: 3, outcome: "rolled back", rolled_back_at: new Date("2024-05-31T20:00:09Z"), rollback_reason: "error rate above threshold" }, { id: 23, version_id: 21, environment: "production", deployed_at: new Date("2024-08-28T16:45:52Z"), deployed_by: "Alexandra", strategy: "blue-green", replicas: 3, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 24, version_id: 7, environment: "staging", deployed_at: new Date("2025-03-05T12:47:51Z"), deployed_by: "Christopher", strategy: "rolling", replicas: 6, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 25, version_id: 56, environment: "staging", deployed_at: new Date("2025-09-04T11:13:16Z"), deployed_by: "Corene", strategy: "rolling", replicas: 2, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 26, version_id: 36, environment: "staging", deployed_at: new Date("2025-06-29T16:47:36Z"), deployed_by: "Libby", strategy: "canary ramp", replicas: 5, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 27, version_id: 57, environment: "production", deployed_at: new Date("2025-05-25T12:41:41Z"), deployed_by: "Judy", strategy: "canary ramp", replicas: 10, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 28, version_id: 16, environment: "staging", deployed_at: new Date("2025-04-10T16:08:16Z"), deployed_by: "Derick", strategy: "canary ramp", replicas: 5, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 29, version_id: 6, environment: "canary", deployed_at: new Date("2025-02-01T18:32:38Z"), deployed_by: "Ivy", strategy: "rolling", replicas: 2, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 30, version_id: 23, environment: "canary", deployed_at: new Date("2024-05-12T13:49:58Z"), deployed_by: "Phil", strategy: "rolling", replicas: 4, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 31, version_id: 10, environment: "production", deployed_at: new Date("2025-02-06T13:13:37Z"), deployed_by: "Anais", strategy: "rolling", replicas: 4, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 32, version_id: 4, environment: "staging", deployed_at: new Date("2025-04-12T11:42:05Z"), deployed_by: "Otha", strategy: "canary ramp", replicas: 3, outcome: "rolled back", rolled_back_at: new Date("2025-04-15T07:07:52Z"), rollback_reason: "dependency incident" }, { id: 33, version_id: 42, environment: "staging", deployed_at: new Date("2025-07-23T15:18:20Z"), deployed_by: "Jerrell", strategy: "canary ramp", replicas: 8, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 34, version_id: 55, environment: "production", deployed_at: new Date("2025-08-03T07:55:28Z"), deployed_by: "Mina", strategy: "rolling", replicas: 3, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 35, version_id: 55, environment: "staging", deployed_at: new Date("2025-09-05T15:51:05Z"), deployed_by: "Chloe", strategy: "blue-green", replicas: 9, outcome: "rolled back", rolled_back_at: new Date("2025-09-06T01:04:05Z"), rollback_reason: "error rate above threshold" }, { id: 36, version_id: 23, environment: "canary", deployed_at: new Date("2024-04-15T10:57:39Z"), deployed_by: "Eden", strategy: "rolling", replicas: 3, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 37, version_id: 18, environment: "production", deployed_at: new Date("2024-05-02T09:10:37Z"), deployed_by: "Nola", strategy: "rolling", replicas: 2, outcome: "rolled back", rolled_back_at: new Date("2024-05-03T00:07:07Z"), rollback_reason: "latency regression" }, { id: 38, version_id: 25, environment: "production", deployed_at: new Date("2024-10-14T16:51:56Z"), deployed_by: "Domingo", strategy: "rolling", replicas: 5, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 39, version_id: 61, environment: "production", deployed_at: new Date("2025-02-25T15:24:24Z"), deployed_by: "Titus", strategy: "canary ramp", replicas: 6, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 40, version_id: 37, environment: "staging", deployed_at: new Date("2024-08-28T09:36:08Z"), deployed_by: "Darrel", strategy: "rolling", replicas: 9, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 41, version_id: 42, environment: "staging", deployed_at: new Date("2025-08-10T11:50:45Z"), deployed_by: "Cloyd", strategy: "canary ramp", replicas: 2, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 42, version_id: 41, environment: "production", deployed_at: new Date("2024-11-11T09:29:56Z"), deployed_by: "Jett", strategy: "rolling", replicas: 2, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 43, version_id: 80, environment: "staging", deployed_at: new Date("2024-08-30T16:45:28Z"), deployed_by: "Keven", strategy: "rolling", replicas: 7, outcome: "rolled back", rolled_back_at: new Date("2024-08-31T17:57:45Z"), rollback_reason: "latency regression" }, { id: 44, version_id: 19, environment: "canary", deployed_at: new Date("2024-03-04T08:59:08Z"), deployed_by: "Lea", strategy: "rolling", replicas: 7, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 45, version_id: 27, environment: "production", deployed_at: new Date("2024-12-23T13:03:00Z"), deployed_by: "Isabella", strategy: "rolling", replicas: 4, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 46, version_id: 77, environment: "canary", deployed_at: new Date("2024-11-17T12:52:49Z"), deployed_by: "Mindy", strategy: "canary ramp", replicas: 9, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 47, version_id: 27, environment: "canary", deployed_at: new Date("2025-01-11T10:03:16Z"), deployed_by: "Mckenna", strategy: "blue-green", replicas: 5, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 48, version_id: 28, environment: "staging", deployed_at: new Date("2024-04-17T10:46:53Z"), deployed_by: "Hailey", strategy: "blue-green", replicas: 6, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 49, version_id: 67, environment: "staging", deployed_at: new Date("2025-02-15T14:20:56Z"), deployed_by: "Brooklyn", strategy: "blue-green", replicas: 8, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 50, version_id: 58, environment: "staging", deployed_at: new Date("2025-09-24T20:43:15Z"), deployed_by: "Serenity", strategy: "rolling", replicas: 3, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 51, version_id: 24, environment: "canary", deployed_at: new Date("2024-10-26T10:06:28Z"), deployed_by: "Demetris", strategy: "rolling", replicas: 6, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 52, version_id: 72, environment: "production", deployed_at: new Date("2025-04-12T10:19:34Z"), deployed_by: "James", strategy: "blue-green", replicas: 2, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 53, version_id: 60, environment: "production", deployed_at: new Date("2024-05-23T08:13:32Z"), deployed_by: "Emerald", strategy: "canary ramp", replicas: 7, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 54, version_id: 54, environment: "canary", deployed_at: new Date("2025-02-19T15:33:16Z"), deployed_by: "Lourdes", strategy: "rolling", replicas: 3, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 55, version_id: 11, environment: "production", deployed_at: new Date("2024-09-16T09:11:03Z"), deployed_by: "Jules", strategy: "blue-green", replicas: 6, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 56, version_id: 10, environment: "production", deployed_at: new Date("2025-02-24T12:22:29Z"), deployed_by: "Gage", strategy: "rolling", replicas: 3, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 57, version_id: 45, environment: "production", deployed_at: new Date("2025-04-18T15:51:54Z"), deployed_by: "Christian", strategy: "rolling", replicas: 6, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 58, version_id: 79, environment: "production", deployed_at: new Date("2024-12-08T13:14:32Z"), deployed_by: "Alisa", strategy: "canary ramp", replicas: 3, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 59, version_id: 51, environment: "production", deployed_at: new Date("2025-03-30T13:47:43Z"), deployed_by: "Jamal", strategy: "rolling", replicas: 6, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 60, version_id: 16, environment: "canary", deployed_at: new Date("2025-03-13T14:37:14Z"), deployed_by: "Delta", strategy: "canary ramp", replicas: 6, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 61, version_id: 5, environment: "staging", deployed_at: new Date("2024-11-02T10:19:36Z"), deployed_by: "Burnice", strategy: "rolling", replicas: 11, outcome: "rolled back", rolled_back_at: new Date("2024-11-03T01:33:46Z"), rollback_reason: "manual abort" }, { id: 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version_id: 34, environment: "staging", deployed_at: new Date("2024-11-25T14:56:51Z"), deployed_by: "Demarco", strategy: "canary ramp", replicas: 12, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 85, version_id: 57, environment: "production", deployed_at: new Date("2025-05-20T13:27:49Z"), deployed_by: "Jamey", strategy: "rolling", replicas: 2, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 86, version_id: 30, environment: "canary", deployed_at: new Date("2024-06-26T11:18:15Z"), deployed_by: "Carroll", strategy: "rolling", replicas: 2, outcome: "rolled back", rolled_back_at: new Date("2024-06-27T22:13:33Z"), rollback_reason: "error rate above threshold" }, { id: 87, version_id: 13, environment: "staging", deployed_at: new Date("2024-11-16T14:01:11Z"), deployed_by: "Violet", strategy: "rolling", replicas: 4, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 88, version_id: 14, environment: "production", deployed_at: new 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version_id: 12, environment: "production", deployed_at: new Date("2024-08-21T11:50:09Z"), deployed_by: "Roger", strategy: "canary ramp", replicas: 2, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 116, version_id: 45, environment: "production", deployed_at: new Date("2025-04-10T18:50:55Z"), deployed_by: "Corey", strategy: "canary ramp", replicas: 5, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 117, version_id: 30, environment: "staging", deployed_at: new Date("2024-06-22T12:10:10Z"), deployed_by: "Tina", strategy: "rolling", replicas: 7, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 118, version_id: 24, environment: "staging", deployed_at: new Date("2024-10-19T09:22:05Z"), deployed_by: "Alex", strategy: "canary ramp", replicas: 3, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 119, version_id: 36, environment: "production", deployed_at: new Date("2025-06-10T10:49:08Z"), deployed_by: "Ashley", 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id: 146, version_id: 38, environment: "production", deployed_at: new Date("2025-07-19T10:47:47Z"), deployed_by: "Kaitlyn", strategy: "rolling", replicas: 2, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 147, version_id: 16, environment: "staging", deployed_at: new Date("2025-04-10T11:28:54Z"), deployed_by: "Hulda", strategy: "blue-green", replicas: 3, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 148, version_id: 76, environment: "staging", deployed_at: new Date("2024-07-25T15:42:06Z"), deployed_by: "Hillary", strategy: "canary ramp", replicas: 3, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 149, version_id: 43, environment: "production", deployed_at: new Date("2024-12-18T17:37:23Z"), deployed_by: "Noah", strategy: "blue-green", replicas: 5, outcome: "rolled back", rolled_back_at: new Date("2024-12-20T10:07:51Z"), rollback_reason: "error rate above threshold" }, { id: 150, version_id: 58, environment: "production", deployed_at: new Date("2025-10-06T19:18:03Z"), deployed_by: "Estel", strategy: "blue-green", replicas: 6, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 151, version_id: 40, environment: "canary", deployed_at: new Date("2025-07-15T14:11:03Z"), deployed_by: "Tyrell", strategy: "canary ramp", replicas: 7, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 152, version_id: 7, environment: "production", deployed_at: new Date("2025-03-20T14:37:19Z"), deployed_by: "Dave", strategy: "canary ramp", replicas: 5, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 153, version_id: 7, environment: "staging", deployed_at: new Date("2025-03-01T09:16:42Z"), deployed_by: "Elroy", strategy: "blue-green", replicas: 2, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 154, version_id: 53, environment: "production", deployed_at: new Date("2025-05-14T07:52:01Z"), deployed_by: "Ally", strategy: "blue-green", replicas: 4, outcome: "rolled back", rolled_back_at: new Date("2025-05-15T15:50:10Z"), rollback_reason: "latency regression" }, { id: 155, version_id: 8, environment: "staging", deployed_at: new Date("2024-08-03T15:17:10Z"), deployed_by: "Rowena", strategy: "rolling", replicas: 6, outcome: "rolled back", rolled_back_at: new Date("2024-08-06T10:59:31Z"), rollback_reason: "dependency incident" }, { id: 156, version_id: 80, environment: "canary", deployed_at: new Date("2024-09-12T14:17:54Z"), deployed_by: "Floyd", strategy: "rolling", replicas: 3, outcome: "held", rolled_back_at: null, rollback_reason: null }, { id: 157, version_id: 38, environment: "staging", deployed_at: new Date("2025-06-26T12:24:43Z"), deployed_by: "Elda", strategy: "canary ramp", replicas: 2, outcome: "held", rolled_back_at: null, rollback_reason: null }, ], }); } main() .then(() => prisma.$disconnect()) .catch(async error => { console.error(error); await prisma.$disconnect(); process.exit(1); });