使用Python API从Google Cloud Datalab将文件上传到Google Cloud Storage Bucket

Question

我正在尝试使用Python API将文件从Datalab实例上传到我的Google Storage Bucket，但无法确定。 Google在其文档中提供的code example在Datalab中似乎不起作用。我目前正在使用gsutil命令，但想了解如何使用Python API来执行此操作。

文件目录（我要上传位于checkpoints文件夹中的python文件）：

!ls -R

.:
checkpoints  README.md  tpot_model.ipynb

./checkpoints:
pipeline_2020.02.29_00-22-17.py  pipeline_2020.02.29_06-33-25.py
pipeline_2020.02.29_00-58-04.py  pipeline_2020.02.29_07-13-35.py
pipeline_2020.02.29_02-00-52.py  pipeline_2020.02.29_08-45-23.py
pipeline_2020.02.29_02-31-57.py  pipeline_2020.02.29_09-16-41.py
pipeline_2020.02.29_03-02-51.py  pipeline_2020.02.29_11-13-00.py
pipeline_2020.02.29_05-01-17.py

当前代码：

import google.datalab.storage as storage
from pathlib import Path

bucket = storage.Bucket('machine_learning_data_bucket')


for file in Path('').rglob('*.py'):
    # API CODE GOES HERE

当前工作解决方案：

!gsutil cp checkpoints/*.py gs://machine_learning_data_bucket

Answer 1

这是对我有用的代码：

from google.cloud import storage
from pathlib import Path

storage_client = storage.Client()
bucket = storage_client.bucket('bucket')

for file in Path('/home/jupyter/folder').rglob('*.py'):
    blob = bucket.blob(file.name)
    blob.upload_from_filename(str(file))
    print("File {} uploaded to {}.".format(file.name,bucket.name))

输出：

File file1.py uploaded to bucket.
File file2.py uploaded to bucket.
File file3.py uploaded to bucket.