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Description:

freestorage 0.1.0

free_storage
Motivation
GoogleDrive provides up to 15GB of free storage (as of the date of writing). The offical Python API (pydrive) is a bit tricky to use when you have a nested directory structure. The goal here is to be able to manipulate files GoogleDrive as if you are on your local drive using os. If you are using GoogleCloud, S3 or other paid storage services, cloud-storage-client will be a better library. As the name suggests, this is only useful if you want to stick to the free stuff :)
Installation
pip install free_storage
To use the library for the first time, you need to follow this tutorial to generate gdrive_credentials.json. Also you need to define an extra gdrive_settings.yaml file.
# gdrive_credentials.json
{"access_token": XXXX, "client_id": XXXX, "client_secret": XXXX, ...}

# gdrive_settings.yaml
client_config_backend: settings
client_config:
client_id: XXXX
client_secret: XXXX

save_credentials: True
save_credentials_backend: file
save_credentials_file: gdrive_credentials.json

get_refresh_token: True

oauth_scope:
- https://www.googleapis.com/auth/drive
- https://www.googleapis.com/auth/drive.metadata

Below is an example of how the interface is used
from free_storage import GoogleDriveStorage

drive = GoogleDriveStorage(
setting_file_name="path/to/gdrive_settings.yaml",
credential_file_name="path/to/gdrive_credentials.json"
)

# Create a folder under root
drive.create_file("directory_name")

# Upload an existing file locally to a remote path
drive.create_file(
remote_path="directory_name/test.zip",
local_path="test.zip",
)

# Upload content in memory to a file in remote path
drive.create_file(
remote_path="directory_name/test.txt",
content="some string",
)

# Download file
drive.download_file(
remote_path="directory_name/test.txt",
local_path="test.txt"
)

# Delete file
drive.delete_file("directory_name/test.txt")

TODO

For create_file method under GoogleDriveStorage, allow creating nested levels of directories, instead of just one level down
Stream reading large files without downloading the whole file to local