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Improve Model Endpoint and Batch Job's Logging UX (#164)
* Update lazy-log package * Refactor stream logs API * Introducing ContainerLogsView component * Support logging for pyfunc image builder and batch job * Fix batch job's image builder log. Support prefixing log with pod & container name * Add batch job executor log * Dockerfile: Add git so we Yarn installation can succeed * Use node:14 as node-builder base image * Colorized the pod + container in log * Use actions/setup-node@v2 and node v14 * Update react-lazylog package to use gojekfarm to sovle yarn install issue https://github.com/yarnpkg/yarn/issues/7212\#issuecomment-493720324 * We still need react-lazylog's prepare script. so we revert to roman's react-lazylog version and use yarn install --network-concurrency 1 * Refactor stackdriver log * Fix API's unit test first * Add more test to cluster and log_service * Fix UI wording * Update swagger * Make sure color lib turned on * Add build-essential and etc isntallation on Mlflows' Dockerfile * Update API test * Use gojekfarm's react-lazylog fork * Update how to close channel; getContainerLogs async * Use request.Context() for termintation * Fix API test * Modularize pprof routes into a spearate function * Address aria's review * Use unbuffered channel for sending log line * Periodically update component list and address reviews * Simplify component refresh & log api context cancellation
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