Tukukkk

I would like to get the size of the bucket based on storage class . I've added rules to bucket to change the storage class of the files based on age of the file.
I've used below commands

gsutil du -sh gs://[bucket-name] 



To get Meta-data : 

gsutil ls -L gs://[bucket-name] 



To set ACL to bucket 



gsutil lifecycle set life-cycle.json gs://[bucket-name] 

Please any one help on this to resolve my issue

Edit:

I have filed a Feature Request for this on the Public Issue Tracker. In the meantime, the code below can be used.

I believe there is no gsutil command that can show you the total size by storage class for a GCS bucket.

However, using the Cloud Storage Client Libraries for Python, I made a script that does what you’re asking for:

from google.cloud import storage

import math



### SET THESE VARIABLES ###

PROJECT_ID = "" 

CLOUD_STORAGE_BUCKET = "" 

###########################



def _get_storage_client():

    return storage.Client(

        project=PROJECT_ID)



def convert_size(size_bytes):

   if size_bytes == 0:

       return "0 B"

   size_name = ("B", "KB", "MB", "GB", "TB", "PB", "EB", "ZB", "YB")

   i = int(math.floor(math.log(size_bytes, 1024)))

   p = math.pow(1024, i)

   s = round(size_bytes / p, 2)

   return "%s %s" % (s, size_name[i])



def size_by_class():

    client = _get_storage_client()

    bucket = client.bucket(CLOUD_STORAGE_BUCKET)

    blobs = bucket.list_blobs()



    size_multi_regional = size_regional = size_nearline = size_coldline = 0

    for blob in blobs:

        if blob.storage_class == "MULTI_REGIONAL":

            size_multi_regional = size_multi_regional + blob.size

        if blob.storage_class == "REGIONAL":

            size_regional = size_regional + blob.size

        if blob.storage_class == "NEARLINE":

            size_nearline = size_nearline + blob.size

        if blob.storage_class == "COLDLINE":

            size_coldline = size_coldline + blob.size



    print("MULTI_REGIONAL: "+str(convert_size(size_multi_regional))+"n"+

            "REGIONAL: "+str(convert_size(size_regional)+"n"+

            "NEARLINE: "+str(convert_size(size_nearline))+"n"+

            "COLDLINE: "+str(convert_size(size_coldline))

            ))



if __name__ == '__main__':

    size_by_class()

To run this program from the Google Cloud Shell, make sure you have previously installed the Client Library for Python with:

pip install --upgrade google-cloud-storage

And in order to provide authentication credentials to the application code, you must point the environment variable GOOGLE_APPLICATION_CREDENTIALS to the location of the JSON file that contains your service account key:

export `GOOGLE_APPLICATION_CREDENTIALS`="/home/user/Downloads/[FILE_NAME].json"

Before running the script, set PROJECT_ID to the ID of your Project, and CLOUD_STORAGE_BUCKET to the name of your GCS Bucket.

Run the script with python main.py. Output should be something like:

MULTI_REGIONAL: 1.0 GB

REGIONAL: 300 MB

NEARLINE: 200 MB

COLDLINE: 10 MB