drkostas/cloud-filemanager
A high-level filemanager utility for cloud services. Currently only Dropbox is supported.
Cloud Filemanager
About
A high-level filemanager utility for cloud services. Currently, only Dropbox
is supported. PYPI Package
Table of Contents
Using the library
For a detailed usage example see
example.py.
You will need to create an Api key for your Dropbox account.
Reference 1,
Reference 2
Installing and using the library
First, you need to install the library using pip:
$ pip install cloud_filemanagerThen, import it and initialize it like so:
from cloud_filemanager import DropboxCloudManager
cloud_conf = {'type': 'dropbox', 'config': {'api_key': 'your api key'}}
dbx = DropboxCloudManager(config=cloud_conf)If you want to use a yml file to load the configuration, you can use the CloudConfig class:
from cloud_filemanager import CloudConfig
import os
config_path = str(os.path.join('confs', 'conf.yml'))
config = CloudConfig(config_src=config_path)
cloud_conf = config.get_cloud_config()Two example YAML files can be found in
the confs folder.
For more details on how to use this YAML configuration loader see
this Readme.
Examples of usage
The currently supported operations are the following:
- Upload, Download, Delete Files
- List directories
Upload
with open('my_file.txt', 'rb') as fp:
file_to_upload = fp.read()
dbx.upload_file(file_bytes=file_to_upload, upload_path='/tests/my_file.txt', write_mode='overwrite')Download
dbx.download_file(frompath='/tests/my_file.txt', tofile='my_file_downloaded.txt')Delete
dbx.delete_file('/tests/my_file.txt')List Files
dbx.ls('/tests/')All of these examples can be found
in example.py.
Manually install the library
These instructions will get you a copy of the project up and running on your local machine for
development and testing purposes.
Prerequisites
You need to have a machine with
anaconda installed and
any Bash based shell (e.g. zsh) installed.
$ conda -V
conda 4.10.1
$ echo $SHELL
/usr/bin/zsh
Install the requirements
All the installation steps are being handled by
the Makefile.
First, modify the python version (min_python) and everything else you need in
the settings.ini.
Then, execute the following commands:
$ make create_env
$ conda activate cloud_filemanager
$ make distNow you are ready to use and modify the library.
Run the Unit Tests
If you want to run the unit tests, execute the following command:
$ make testsContinuous Integration
For the continuous integration, the CircleCI service is being used. For more information you can
check the setup guide.
For any modifications, edit
the circleci config.
Update PyPI package
This is mainly for future reference for the developers of this project. First,
create a file called ~/.pypirc with your pypi login details, as follows:
[pypi]
username = your_pypi_username
password = your_pypi_password
Then, modify the python version (min_python), project status (status), release version (version)
and everything else you need in
the settings.ini.
Finally, execute the following commands:
$ make create_env
$ conda activate cloud_filemanager
$ make releaseFor a dev release, change the testing_version and instead of make release, run make release_test.
License
This project is licensed under the Apache License - see
the LICENSE file for details.