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* feat: more significant refactor Signed-off-by: Alex Jones <alexsimonjones@gmail.com> * feat: more significant refactor Signed-off-by: Alex Jones <alexsimonjones@gmail.com> * feat: reworked the integration activate/deactivation Signed-off-by: Alex Jones <alexsimonjones@gmail.com> * chore: updated schema for list integrations Signed-off-by: Alex Jones <alexsimonjones@gmail.com> * fix: error with incorrect error being swallowed Signed-off-by: Alex Jones <alexsimonjones@gmail.com> * feat: added namespace check Signed-off-by: Alex Jones <alexsimonjones@gmail.com> * chore: fixed issue with namespace and skip install validation Signed-off-by: Alex Jones <alexsimonjones@gmail.com> --------- Signed-off-by: Alex Jones <alexsimonjones@gmail.com>
31 lines
1000 B
Markdown
31 lines
1000 B
Markdown
# serve
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The serve commands allow you to run k8sgpt in a grpc server mode.
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This would be enabled typically through `k8sgpt serve` and is how the in-cluster k8sgpt deployment functions when managed by the [k8sgpt-operator](https://github.com/k8sgpt-ai/k8sgpt-operator)
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The grpc interface that is served is hosted on [buf](https://buf.build/k8sgpt-ai/schemas) and the repository for this is [here](https://github.com/k8sgpt-ai/schemas)
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## grpcurl
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A fantastic tool for local debugging and development is `grpcurl`
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It allows you to form curl like requests that are http2
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e.g.
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```
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grpcurl -plaintext -d '{"namespace": "k8sgpt", "explain" : "true"}' localhost:8080 schema.v1.ServerService/Analyze
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```
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```
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grpcurl -plaintext localhost:8080 schema.v1.ServerService/ListIntegrations
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{
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"integrations": [
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"trivy"
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]
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}
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```
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```
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grpcurl -plaintext -d '{"integrations":{"trivy":{"enabled":"true","namespace":"default","skipInstall":"false"}}}' localhost:8080 schema.v1.ServerService/AddConfig
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```
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