Using python I am able to delete files from bucket using prefixes also but in python code, prefix means directory.
I want to delete the files from GCP bucket which starts with example.
For example:
example-2022-12-07
example-2022-12-08
I followed this(Delete Files from Google Cloud Storage) but did not get the answer.
I am trying this, but not working:
blobs = bucket.list_blobs()
fileList = [file.name for file in blobs if 'example' in file.name ]
print(fileList)
for file in fileList:
blob = blobs.blob(file)
blob.delete()
print(f"Blob {blob_name} deleted.")
You can try the following code to delete files from the Google Cloud Storage by using the blob.delete method as suggested in the Documentation.
Below is the example for what you are looking:
from google.cloud import storage
client = storage.Client()
bucket = client.get_bucket(bucket_name)
# list all objects in the directory
# Add prefix as parameter to bucket.list_blobs
blobs = bucket.list_blobs(prefix=?)
for blob in blobs:
blob.delete()
print(f"Blob {blob_name} deleted.")`
You can check with this thread1 and thread2.
Related
Hi everyone on Stackoverflow,
I wrote two python scripts. One script is for picking up local files and sending them to GCS (Google Cloud Storage). Another one is opposite - for taking files from GCS that were uploaded and saving locally.
I want to automate process using Azure.
What would you recommend to use? Azure Function App, Azure Logic App or other services?
*
I'm now trying to use Logic App. I made .exe file using pyinstaller and looking for connector in Logic App that will run my program (.exe file). I have trigger in Logic App - "When a file is added or modified", but now I stack when selecting next step (connector)..
Kind regards,
Anna
Adding code as requested:
from google.cloud import storage
import os
import glob
import json
# Finding path to config file that is called "gcs_config.json" in directory C:/
def find_config(name, path):
for root, dirs, files in os.walk(path):
if name in files:
return os.path.join(root, name)
def upload_files(config_file):
# Reading 3 Parameters for upload from JSON file
with open(config_file, "r") as file:
contents = json.loads(file.read())
print(contents)
# Setting up login credentials
os.environ["GOOGLE_APPLICATION_CREDENTIALS"] = contents['login_credentials']
# The ID of GCS bucket
bucket_name = contents['bucket_name']
# Setting path to files
LOCAL_PATH = contents['folder_from']
for source_file_name in glob.glob(LOCAL_PATH + '/**'):
# For multiple files upload
# Setting destination folder according to file name
if os.path.isfile(source_file_name):
partitioned_file_name = os.path.split(source_file_name)[-1].partition("-")
file_type_name = partitioned_file_name[0]
# Setting folder where files will be uploaded
destination_blob_name = file_type_name + "/" + os.path.split(source_file_name)[-1]
# Setting up required variables for GCS
storage_client = storage.Client()
bucket = storage_client.bucket(bucket_name)
blob = bucket.blob(destination_blob_name)
# Running upload and printing confirmation message
blob.upload_from_filename(source_file_name)
print("File from {} uploaded to {} in bucket {}.".format(
source_file_name, destination_blob_name, bucket_name
))
config_file = find_config("gcs_config.json", "C:/")
upload_files(config_file)
config.json:
{
"login_credentials": "C:/Users/AS/Downloads/bright-velocity-___-53840b2f9bb4.json",
"bucket_name": "staging.bright-velocity-___.appspot.com",
"folder_from": "C:/Users/AS/Documents/Test2/",
"folder_for_downloaded_files": "C:/Users/AnnaShepilova/Documents/DownloadedFromGCS2/",
"given_date": "",
"given_prefix": ["Customer", "Account"] }
Currently, there is no built-in connector in Logic Apps for interacting with Google Cloud Services. however, you can use Google Cloud Storage does provide REST API in your Logic app or Function app.
But my suggestion is you can use the Azure Function to do these things. Because the azure Function can be more flexible to write your own flow to do the task.
Refer to run your .exe file in the Azure function. If you are using Local EXE or using Cloud Environment exe.
Refer here for more information
FileNotFoundError When trying to read/access a file or a folder that exists in the bucket in the google cloud by referencing gs://BUCKET_NAME/FolderName/.
I am using python 3 as the kernel with a jupyter notebook. I have a cluster configured in the google cloud linked to a bucket. When ever I try to read/upload a file I am getting the file not found error
def get_files(bucketName):
files = [f for f in listdir(localFolder) if
isfile(join(localFolder, f))]
for file in files:
print("file path:", file)
get_files("agriculture-bucket-gl")
I should be able to access the folder contents or to reference any file that exists inside any folder in the bucket.
Error Message:
FileNotFoundError: [Errno 2] No such file or directory: 'gs://agriculture-bucket-gl/Data sets/'
You need to access the bucket using the storage library, to get the file and then get content.
You may find this code template helpful.
from google.cloud import storage
# Instantiates a client
client = storage.Client()
bucket_name = 'your_bucket_name'
bucket = client.get_bucket(bucket_name)
blob = bucket.get_blob('route/to/file.txt')
downloaded_blob = blob.download_as_string()
print(downloaded_blob)
To add to the the previous answers, the path in the Error Message: FileNotFoundError: [Errno 2] No such file or directory: 'gs://agriculture-bucket-gl/Data sets/' also contains some issues. I'd try fixing the following:
The folder name "Data sets" has a space. I'd try a name without the space.
There is the / sign is at the end of the path. The path should end without a slash.
If you want to access from storage
from google.cloud import storage
bucket_name = 'your_bucket_name'
blob_path = 'storage/path/fileThatYouWantToAccess'
storage_client = storage.Client()
bucket = storage_client.get_bucket(bucket_name)
blob = bucket.blob(blob_path)
#this is optional if you want to download it to tmp folder
blob.download_to_filename('/tmp/fileThatYouWantToAccess')
Using https://github.com/googleapis/google-cloud-python/tree/master/storage or https://github.com/GoogleCloudPlatform/appengine-gcs-client, I can delete a files by specifying its file name, but there seems not to be ways to delete folders.
Is there any ways to delete folders ?
I found this(Google Cloud Storage: How to Delete a folder (recursively) in Python) in stackvoerflow, but this answer simply deletes all the files in the folder, not deleting the folder itself.
The code mentioned in the anwser you referred works, the prefix should look like this:
from google.cloud import storage
storage_client = storage.Client()
bucket = storage_client.get_bucket('my-bucket')
blobs = bucket.list_blobs(prefix='my-folder/')
for blob in blobs:
blob.delete()
from google.cloud import storage
def delete_storage_folder(bucket_name, folder):
"""
This function deletes from GCP Storage
:param bucket_name: The bucket name in which the file is to be placed
:param folder: Folder name to be deleted
:return: returns nothing
"""
cloud_storage_client = storage.Client()
bucket = cloud_storage_client.bucket(bucket_name)
try:
bucket.delete_blobs(blobs=list(bucket.list_blobs(prefix=folder)))
except Exception as e:
print(str(e.message))
I am trying to download multiple files from the Google cloud storage folder. I am able to download the single file but unable to download multiple files. I took this reference from this link but seems it is not working.
The code is as follow:
# [download multiple files]
bucket_name = 'bigquery-hive-load'
# The "folder" where the files you want to download are
folder="/projects/bigquery/download/shakespeare/"
# Create this folder locally
if not os.path.exists(folder):
os.makedirs(folder)
# Retrieve all blobs with a prefix matching the folder
bucket=storage_client.get_bucket(bucket_name)
print(bucket)
blobs=list(bucket.list_blobs(prefix=folder))
print(blobs)
for blob in blobs:
if(not blob.name.endswith("/")):
blob.download_to_filename(blob.name)
# [End download to multiple files]
Is there any way to download multiple files matching with the pattern(name) or something else. Since I am exporting the file from bigquery, the file names will be something like below:
shakespeare-000000000000.csv.gz
shakespeare-000000000001.csv.gz
shakespeare-000000000002.csv.gz
shakespeare-000000000003.csv.gz
Reference: Working code to download single file:
# [download to single files]
edgenode_destination_uri = '/projects/bigquery/download/shakespeare-000000000000.csv.gz'
bucket_name = 'bigquery-hive-load'
gcs_bucket = storage_client.get_bucket(bucket_name)
blob = gcs_bucket.blob("shakespeare.csv.gz")
blob.download_to_filename(edgenode_destination_uri)
logging.info('Downloded {} to {}'.format(
gcs_bucket, edgenode_destination_uri))
# [end download to single files]
After some trial, I solved this and couldn't stop myself from posting here as well.
bucket_name = 'mybucket'
folder='/projects/bigquery/download/shakespeare/'
delimiter='/'
file = 'shakespeare'
# Retrieve all blobs with a prefix matching the file.
bucket=storage_client.get_bucket(bucket_name)
# List blobs iterate in folder
blobs=bucket.list_blobs(prefix=file, delimiter=delimiter) # Excluding folder inside bucket
for blob in blobs:
print(blob.name)
destination_uri = '{}/{}'.format(folder, blob.name)
blob.download_to_filename(destination_uri)
It looks like you may simply have the wrong level of indentation in your python code. The block beginning with # Retrieve all blobs with a prefix matching the folder is within the scope of the if above so it's never executed if the folder already exists.
Try this:
# [download multiple files]
bucket_name = 'bigquery-hive-load'
# The "folder" where the files you want to download are
folder="/projects/bigquery/download/shakespeare/"
# Create this folder locally
if not os.path.exists(folder):
os.makedirs(folder)
# Retrieve all blobs with a prefix matching the folder
bucket=storage_client.get_bucket(bucket_name)
print(bucket)
blobs=list(bucket.list_blobs(prefix=folder))
print(blobs)
for blob in blobs:
if(not blob.name.endswith("/")):
blob.download_to_filename(blob.name)
# [End download to multiple files]
Are there any API function that allow us to move files in Google Cloud Storage from one bucket in another bucket?
The scenario is we want Python to move read files in A bucket to B bucket. I knew that gsutil could do that but not sure Python can support that or not.
Thanks.
Here's a function I use when moving blobs between directories within the same bucket or to a different bucket.
from google.cloud import storage
import os
os.environ["GOOGLE_APPLICATION_CREDENTIALS"]="path_to_your_creds.json"
def mv_blob(bucket_name, blob_name, new_bucket_name, new_blob_name):
"""
Function for moving files between directories or buckets. it will use GCP's copy
function then delete the blob from the old location.
inputs
-----
bucket_name: name of bucket
blob_name: str, name of file
ex. 'data/some_location/file_name'
new_bucket_name: name of bucket (can be same as original if we're just moving around directories)
new_blob_name: str, name of file in new directory in target bucket
ex. 'data/destination/file_name'
"""
storage_client = storage.Client()
source_bucket = storage_client.get_bucket(bucket_name)
source_blob = source_bucket.blob(blob_name)
destination_bucket = storage_client.get_bucket(new_bucket_name)
# copy to new destination
new_blob = source_bucket.copy_blob(
source_blob, destination_bucket, new_blob_name)
# delete in old destination
source_blob.delete()
print(f'File moved from {source_blob} to {new_blob_name}')
Using the google-api-python-client, there is an example on the storage.objects.copy page. After you copy, you can delete the source with storage.objects.delete.
destination_object_resource = {}
req = client.objects().copy(
sourceBucket=bucket1,
sourceObject=old_object,
destinationBucket=bucket2,
destinationObject=new_object,
body=destination_object_resource)
resp = req.execute()
print json.dumps(resp, indent=2)
client.objects().delete(
bucket=bucket1,
object=old_object).execute()
you can use GCS Client Library Functions documented at [1] to read to one bucket and write to the other and then delete source file.
You can even use the GCS REST API documented at [2].
Link:
[1] - https://developers.google.com/appengine/docs/python/googlecloudstorageclient/functions
[2] - https://developers.google.com/storage/docs/concepts-techniques#overview
def GCP_BUCKET_A_TO_B():
source_bucket = storage_client.get_bucket("Bucket_A_Name")
filename = [filename.name for filename in
list(source_bucket.list_blobs(prefix=""))]
for i in range (0,len(filename)):
source_blob = source_bucket.blob(filename[i])
destination_bucket = storage_client.get_bucket("Bucket_B_Name")
new_blob = source_bucket.copy_blob(
source_blob, destination_bucket, filename[i])
I just wanted to point out that there's another possible approach and that is using gsutil through the use of the subprocess module.
The advantages of using gsutil like that:
You don't have to deal with individual blobs
gsutil's implementation of the move and especially rsync will probably be much better and more resilient that what we do ourselves.
The disadvantages:
You can't deal with individual blobs easily
It's hacky and generally a library is preferable to executing shell commands
Example:
def move(source_uri: str,
destination_uri: str) -> None:
"""
Move file from source_uri to destination_uri.
:param source_uri: gs:// - like uri of the source file/directory
:param destination_uri: gs:// - like uri of the destination file/directory
:return: None
"""
cmd = f"gsutil -m mv {source_uri} {destination_uri}"
subprocess.run(cmd)