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import os
import boto3
from pathlib import Path
from utils.log import logger
aws_access_key = os.getenv("AWS_ACCESS_KEY_ID") #"AKIA2ZIOMY3VPQVDJNDG"
aws_key_pw = os.getenv("AWS_SECRET_ACCESS_KEY") #"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"
BUCKET_NAME = os.getenv("BUCKET_NAME") #"mlops-tiny-bert-19032025"
s3 = boto3.client(
"s3",
aws_access_key_id=aws_access_key,
aws_secret_access_key=aws_key_pw,
)
def download_model_from_s3(local_path: Path, s3_prefix: str):
try:
if os.path.exists(local_path) and os.listdir(local_path):
logger.info(f"Model {local_path} already exists. Skipping download.")
return
logger.info(f"Downloading model from S3: {s3_prefix} to {local_path}")
os.makedirs(local_path, exist_ok=True)
paginator = s3.get_paginator("list_objects_v2")
for result in paginator.paginate(Bucket=BUCKET_NAME, Prefix=s3_prefix):
if "Contents" in result:
for key in result["Contents"]:
s3_key = key["Key"]
local_file = os.path.join(local_path, os.path.relpath(s3_key, s3_prefix))
os.makedirs(os.path.dirname(local_file), exist_ok=True)
logger.info(f"Downloading {s3_key} to {local_file}")
s3.download_file(BUCKET_NAME, s3_key, local_file)
logger.info(f"Downloaded {s3_key} to {local_file}")
except Exception as e:
logger(f"Failed to download model from S3: {e}")
raise RuntimeError(f"Error downloading model from S3: {e}")
def upload_image_to_s3(
file_name,
s3_prefix="ml-images",
object_name=None
):
if object_name is None:
object_name = os.path.basename(file_name)
object_name = f"{s3_prefix}/{object_name}"
s3.upload_file(file_name, BUCKET_NAME, object_name)
logger.info(f"Uploaded {file_name} to s3://{BUCKET_NAME}/{object_name}")
response = s3.generate_presigned_url(
'get_object',
Params={
"Bucket": BUCKET_NAME,
"Key": object_name
},
ExpiresIn=3600
)
logger.info(f"Generated presigned URL for {object_name}: {response}")
return response