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ygopro-database

update strings

3 jobs for master in 1 minute and 53 seconds (queued for 1 second)
59a2dc32 59a2dc324312f8552b3a38a9e97958d953066b07
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Status Job ID Name Coverage
  Build
passed #68545
linux
get_lflist

00:01:37

 
  Deploy
passed #68546
linux
upload_to_minio_latest

00:00:09

failed #68547
linux
upload_to_minio_rainbow

00:00:15

 
Name Stage Failure
failed
upload_to_minio_rainbow Deploy 
Downloading artifacts
Downloading artifacts for get_lflist (68545)...
Downloading artifacts from coordinator... ok        id=68545 responseStatus=200 OK token=XziuZjXC
Executing "step_script" stage of the job script
Using docker image sha256:38ecc77747cd137b0cc1ce63232127d2609f8aea869a892f657266b3aba0f90d for git-registry.mycard.moe/mycard/docker-runner-base:master-x86 with digest git-registry.mycard.moe/mycard/docker-runner-base@sha256:2448666fe3ef5767c982001d0c718d9e30e8017b911b1f70e16c27e918bae126 ...
$ aws s3 --endpoint=https://rainbow-minio.moestart.com:9777 sync --delete dist/ s3://mycard/ygopro-database
fatal error: Could not connect to the endpoint URL: "https://rainbow-minio.moestart.com:9777/mycard?list-type=2&prefix=ygopro-database%2F&encoding-type=url"
Cleaning up file based variables
ERROR: Job failed: exit code 1