Adds Initial e2e Tests and Tooling #217
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| apiVersion: inference.networking.x-k8s.io/v1alpha1 | ||
| kind: InferenceModel | ||
| metadata: | ||
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| # End-to-End Tests | ||
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| This document provides instructions on how to run the end-to-end tests. | ||
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| ## Overview | ||
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| The end-to-end tests are designed to validate end-to-end Gateway API Inference Extension functionality. These tests are executed against a Kubernetes cluster and use the Ginkgo testing framework to ensure the extension behaves as expected. | ||
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| ## Prerequisites | ||
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| - [Go](https://golang.org/doc/install) installed on your machine. | ||
| - [Make](https://www.gnu.org/software/make/manual/make.html) installed to run the end-to-end test target. | ||
| - A Hugging Face Hub token with access to the [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf) model. | ||
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| ## Running the End-to-End Tests | ||
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| Follow these steps to run the end-to-end tests: | ||
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| 1. **Clone the Repository**: Clone the `gateway-api-inference-extension` repository: | ||
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| ```sh | ||
| git clone https://github.com/kubernetes-sigs/gateway-api-inference-extension.git && cd gateway-api-inference-extension | ||
| ``` | ||
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| 1. **Export Your Hugging Face Hub Token**: The token is required to run the test model server: | ||
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| ```sh | ||
| export HF_TOKEN=<MY_HF_TOKEN> | ||
| ``` | ||
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| 1. **Run the Tests**: Run the `test-e2e` target: | ||
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| ```sh | ||
| make test-e2e | ||
| ``` | ||
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| The test suite prints details for each step. Note that the `vllm-llama2-7b-pool` model server deployment | ||
| may take several minutes to report an `Available=True` status due to the time required for bootstraping. |
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Note that the InferencePool CR is now part of the ext-proxy deployment. The InferenceModel had to be split from the InferencePool since e2e tests will create InferenceModels for each test case. The InferenceModel could have its own manifest but IMHO it makes sense to bundle with the ext-proc since the ext-proc is specifically configured for this InferencePool.