mirror of
https://github.com/Toumash/mlflow-docker
synced 2025-11-04 15:19:21 +01:00
38 lines
1.1 KiB
Python
38 lines
1.1 KiB
Python
import os
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from minio import Minio
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from minio.error import ResponseError
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accessID = os.environ.get('AWS_ACCESS_KEY_ID')
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accessSecret = os.environ.get('AWS_SECRET_ACCESS_KEY')
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minioUrl = os.environ.get('MLFLOW_S3_ENDPOINT_URL')
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bucketName = os.environ.get('AWS_BUCKET_NAME')
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if accessID == None:
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print('[!] AWS_ACCESS_KEY_ID environemnt variable is empty! run \'source .env\' to load it from the .env file')
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exit(1)
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if accessSecret == None:
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print('[!] AWS_SECRET_ACCESS_KEY environemnt variable is empty! run \'source .env\' to load it from the .env file')
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exit(1)
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if minioUrl == None:
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print('[!] MLFLOW_S3_ENDPOINT_URL environemnt variable is empty! run \'source .env\' to load it from the .env file')
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exit(1)
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if bucketName == None:
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print('[!] AWS_BUCKET_NAME environemnt variable is empty! run \'source .env\' to load it from the .env file')
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exit(1)
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minioUrlHostWithPort = minioUrl.split('//')[1]
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print('[*] minio url: ',minioUrlHostWithPort)
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s3Client = Minio(
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minioUrlHostWithPort,
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access_key=accessID,
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secret_key=accessSecret,
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secure=False
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)
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s3Client.make_bucket(bucketName) |