21 lines
1.3 KiB
Markdown
21 lines
1.3 KiB
Markdown
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# SVM Prefilter Service
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The purpose of this service is to bring the SVM Ai from the Birbox to the Edge.
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This service has the same interface as the input service. Upon receiving a request it enqueues it, runst the Ai prediction, if a bird chirp sound is predicted then this service forwards the request to the original input service in the cloud.
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This service needs to communicate with the input service and the model service. And optionally it can report its queue length to birb-latency-collector.
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## Configuration:
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This service can be configured trough envvars:
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- **SECRET_KEY**: Flask secret key. See https://flask.palletsprojects.com/en/2.0.x/config/#SECRET_KEY
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- **SENTRY_DSN**: Sentry DSN. See https://docs.sentry.io/product/sentry-basics/dsn-explainer/
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- **RELEASE_ID**: Release ID for Sentry.
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- **RELEASEMODE**: Release mode for sentry.
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- **MODEL_INFO_URL**: URL of the model service endpoint when the information about the used SVM model can be fetched (e.g.: `https://birb.k8s.kmlabz.com/model/svm/$default`)
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- **INPUT_SERVICE_URL**: URL of the real input service (e.g.: `https://birb.k8s.kmlabz.com/input`)
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- **REPORT_URL**: URL of the birb-latency-collector service to report queue length to (e.g.: `http://192.168.110.100:30420/report/site`)
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- **REPORT_INTERVAL**: Seconds between reporting queue length to birb-latency-collector.
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