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ygopro-database

fix

3 jobs for master in 43 seconds (queued for 1 second)
a175a266 a175a266c4f5c2137275d3ef56085061acad3a6c
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Status Job ID Name Coverage
  Build
passed #69594
linux
get_lflist

00:00:20

 
  Deploy
passed #69595
linux
upload_to_minio_latest

00:00:14

failed #69596
linux
upload_to_minio_rainbow

00:00:22

 
Name Stage Failure
failed
upload_to_minio_rainbow Deploy 
Downloading artifacts
Downloading artifacts for get_lflist (69594)...
Downloading artifacts from coordinator... ok        id=69594 responseStatus=200 OK token=vhCTfnfz
Executing "step_script" stage of the job script
Using docker image sha256:a13cfbac519cc80093523bb263f994859ab87f528558ed1148636e9268c30f60 for git-registry.mycard.moe/mycard/docker-runner-base:latest with digest git-registry.mycard.moe/mycard/docker-runner-base@sha256:333cf83972b499940350d5bcad14058eca34c4ef3bca96fdd2b0cae71e37f031 ...
$ 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 project directory and file based variables
ERROR: Job failed: exit code 1