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@janeyx99 janeyx99 commented Dec 17, 2021

Try using Rockset as backend for data instead of RDS

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@janeyx99 janeyx99 force-pushed the write-flaky-tests-to-rockset branch from 559a678 to d49ebb1 Compare December 20, 2021 20:42
@janeyx99 janeyx99 requested review from suo and a team December 20, 2021 20:43
# write to S3 to go to Rockset as well
import uuid
for flaky_test in flaky_tests:
flaky_test["workflow_job_id"] = workflow_job_id
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This is ambiguous, there is no concept of a "workflow job" in either GHA or circle. Probably workflow_id is preferred

flaky_test["workflow_job_id"] = workflow_job_id
key = f'flaky_tests/{workflow_job_id}/{uuid.uuid4()}.json'
obj = get_S3_object_from_bucket('ossci-raw-job-status', key)
obj.put(Body=json.dumps(flaky_test).encode())
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nit: should set ContentType="application/json" so that if you view the s3 file directly, you browser knows what to do with it.

flaky_test["workflow_job_id"] = workflow_job_id
key = f'flaky_tests/{workflow_job_id}/{uuid.uuid4()}.json'
obj = get_S3_object_from_bucket('ossci-raw-job-status', key)
obj.put(Body=json.dumps(flaky_test).encode())
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I don't think you need encode() here, the s3 library will do it for you.

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@janeyx99 has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.

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