🌌 UDS : Unlimited Drive Storage

Store files in Google Docs without counting against your quota.

sorry @ the guys from google internal forums who are looking at this

Features

• Upload files to Google Drive without using storage space
• Download any stored files to your computer

Logic

• Size of the encoded file is always larger than the original. Base64 encodes binary data to a ratio of about 4:3.
• A single google doc can store about a million characters. This is around 710KB of base64 encoded data.
• Some experiments with multithreading the uploads, but there was no significant performance increase.

Authentication

1. Head to Google's API page and enable the Drive API
2. Download the configuration file as 'client_secret.json' to the UDS directory
3. run python uds.py for initial set up

UDS Core

Upload

> python uds.py push Ubuntu.Desktop.16.04.iso
Ubuntu.Desktop.16.04.iso will required 543 Docs to store.
Created parent folder with ID 1fc6JGpX6vUWiwflL1jBxM1YpuMHFAms8
Successfully Uploaded Ubuntu.Desktop.16.04.iso: [██████████████████████████████] 100%

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python uds.py psuh argument

argument: Path_to_file+file_name

List

> python uds.py list
Name                      Size   Encoded    ID
------------------------  -----  ---------  ---------------------------------  
Ubuntu.Desktop.16.04.iso  810 MB  1.1 GB    1fc6JGpX6vUWiwflL1jBxM1YpuMHFAms8
Ubuntu.Desktop.18.10.iso  1.1 GB  1.3 GB    1RzzVfN9goHMTkM1Hf1FUWUVS_2R3GK7D

Also supports searching with a query!

> python uds.py list "16"
Name                      Size   Encoded    ID
------------------------  -----  ---------  ---------------------------------  
Ubuntu.Desktop.16.04.iso  810 MB  1.1 GB    1fc6JGpX6vUWiwflL1jBxM1YpuMHFAms8

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python uds.py list

arguments: query

Download

> python uds.py pull 1fc6JGpX6vUWiwflL1jBxM1YpuMHFAms8
Downloaded Ubuntu.Desktop.16.04.iso: [██████████████████████████████] 100%

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python uds.py pull argument

argument: id_of_file

Delete

> python uds.py delete 1fc6JGpX6vUWiwflL1jBxM1YpuMHFAms8
Deleted 1fc6JGpX6vUWiwflL1jBxM1YpuMHFAms8

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python uds.py delete argument

argument: id_of_file

Alpha Extensions

Grab

> python uds.py grab test.7z
Update Successful!
Downloaded test.7z: [██████████████████████████████] 100%

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python uds.py grab argument

argument: name_of_file

Erase

>python uds.py erase test2.7z
Update Successful!
Deleted test2.7z

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python uds.py erase argument

argument: name_of_file

Update

> python uds.py update

Name       Encoded   Size 
---------  --------  -----
file_name  1.1 GB    810 MB 

"User.txt"
Name       Encoded   Size 
---------  --------  -----
file_name  1.1 GB    810 MB 

"data.txt"
{
   "file0": "1fc6JGpX6vUWiwflL1jBxM1YpuMHFAms8"
   "file2": "1fc6JGpX6vUWiwflL1jBxM1YpuMHFAms9"
}

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python uds.py update

arguments: None

Bulk Extensions

Bunch

> python uds.py bunch test
test.7z.1 will require 1337 Docs to store.
Created parent folder with ID 1fc6JGpX6vUWiwflL1jBxM1YpuMHFAm12
Successfully Uploaded test.7z.1: [██████████████████████████████] 100%
test.7z.2 will require 1337 Docs to store.
Created parent folder with ID 1fc6JGpX6vUWiwflL1jBxM1YpuQQFAm12
Successfully Uploaded test.7z.2: [██████████████████████████████] 100%
test.7z.3 will require 600 Docs to store.
Created parent folder with ID 1fc6JGpX6vTOiwflL1jBxM1YpuQQFAm12
Successfully Uploaded test.7z.3: [██████████████████████████████] 100%

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python uds.py bunch argument[1] argument[2]

argument[1]: name_in_files, or wildcard "?" without quotes
argument[2]: directory, defualt is current directory of UDS

Batch

> python uds.py batch file_name
Update Successful!
Downloaded file_name.7z.1: [██████████████████████████████] 100%
Downloaded file_name.7z.2: [██████████████████████████████] 100%
Downloaded file_name.7z.3: [██████████████████████████████] 100%

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python uds.py batch argument

arguments: name_in_files, or wildcard "?" without quotes

Wipe

>python uds.py wipe file
Update Successful!
Deleted file.7z.1
Deleted file.7z.2
Deleted file.7z.3

[Layout]
python uds.py wipe argument

arguments: name_in_files, or wildcard "?" without quotes

Compatible with Python 3.