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README.md

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# grouping-trainer
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Training and eval code for [Sentry's AI grouping
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model](https://docs.sentry.io/concepts/data-management/event-grouping/).
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model](https://docs.sentry.io/concepts/data-management/event-grouping/#ai-enhanced-grouping).
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## Set up local
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1. Install [uv](https://docs.astral.sh/uv/getting-started/installation/), [direnv](https://direnv.net/), [Google Cloud
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SDK](https://docs.cloud.google.com/sdk/docs/install-sdk).
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1. Sign up for [WandB](https://wandb.ai/site) and add a secret at `wandb-api-key` in your GCP project.
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1. Sign up for [WandB](https://wandb.ai/site) and (optionally) add a secret at `wandb-api-key` in your GCP project.
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1. Create `.env`
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Sentry employees:
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```bash
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gcloud secrets versions access latest --secret=grouping-trainer-env > .env
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```
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Others:
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```bash
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cp .env.example .env
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```
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Fill in your GCP project name and GCS bucket name.
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And fill in the values.
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1. Set up the local Python environment:
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