smartbulk-connector 1.0.1

BioTuring Smartbulk Connector

BioTuring SmartBulk-Connector SDK

Bioturing SmartBulk-Connector SDK is a Python package that provides an interface to interact with Bioturing's services

Installation

You can install the SmartBulk-Connector SDK package using pip:

pip install --upgrade smartbulk-connector

Get API TOKEN from SmartBulk

An API token is a unique identifier that allows a user or application to access an API. It is a secure way to authenticate a user or application and to control what permissions they have.

You do not need to regenerate your API token every time you use it. However, you may need to regenerate your API token if it is compromised.

Firstly, you need to navigate the SmartBulk SDK to get a token. The user’s token is generated from the host website

How To Use

import warnings
from smartbulk_connector import SmartbulkConnector

warnings.filterwarnings("ignore")

Connect to SmartBulk private server

# authentication
DOMAIN = "<your-smartbulk-server-domain>"
TOKEN = "<your-API-token>"
connector = SmartbulkConnector(domain=DOMAIN, token=TOKEN)

Connecting to host at https://dev.bioturing.com/smartbulk
Connect to SmartBulk successfully

# get current version
connector.get_versions()

smartbulk_connector: version 0.1.0

Get user groups available for your token

connector.get_user_groups()

[{'group_id': '<hidden-id>',
  'group_name': 'Personal workspace'},
 {'group_id': '<hidden-id>', 
  'group_name': 'All members'},
 {'group_id': '<hidden-id>',
  'group_name': 'BioTuring Public Studies'}]

Get all projects from a group

connector.get_all_projects_info_in_group(group_id='personal')

[{'project_id': 'prj_8dfbc6a8-4e22-444f-b4a2-4df000c48141',
  'project_name': 'sample dataset'},
 {'project_id': 'prj_84c1a392-8080-11ef-8f07-0242ac130004',
  'project_name': 'human sample'},
 {'project_id': 'prj_94f6f0ef-d6c8-49f5-96f6-7bb5fa6a3de8',
  'project_name': 'mouse_sample'}]

List files and directory in workspace

connector.listdir_workspace()

['example_data', 'sample dataset', 'mouse_sample']

connector.listdir_workspace('example_data', fullpath=True)

['/path/to/server/workspace/upload/example_data/count_mat_2.csv',
 '/path/to/server/workspace/upload/example_data/count_mat.csv',
 '/path/to/server/workspace/upload/example_data/metadata_2.csv',
 '/path/to/server/workspace/upload/example_data/metadata.csv',
 '/path/to/server/workspace/upload/example_data/recipes.csv']

List files and directory in cloud_storage

connector.listdir_cloud_storage()

['bioturing-lens', 'bioturingdebug', 'bioturingdebug.log.txt']

Upload a single file

connector.upload_file('path/to/local/count_mat.csv', server_folder_name='test', debug_mode=True)

{'status': 0,
 'path': '/path/to/server/workspace/upload/test/v1.count_mat.csv',
 'url_path': '/path/to/server/workspace/upload/test/v1.count_mat.csv'}

Upload a folder

connector.upload_folder('tsv_sample/', debug_mode=True)

  0%|          | 0.00/16.1M [00:00<?, ?B/s]

Upload tsv_sample/matrix_200.csv.gz, chunk index : 1 ...


100%|██████████| 16.1M/16.1M [00:29<00:00, 538kB/s]



{'folder_name': 'tsv_sample',
 'file_path': ['tsv_sample/recipes.csv',
  'tsv_sample/SRP092402.tsv',
  'tsv_sample/matrix_200.csv.gz'],
 'server_path': ['/path/to/server/workspace/upload/tsv_sample/v1.recipes.csv',
  '/path/to/server/workspace/upload/tsv_sample/v1.SRP092402.tsv',
  '/path/to/server/workspace/upload/tsv_sample/v1.matrix_200.csv.gz']}

Create new project from the uploaded folder path in the SmartBulk Server

submit_result = connector.create_project(
    group_id='personal',
    species='human',
    project_name='human sample',
    matrix_paths=['/path/to/server/workspace/upload/tsv_sample/v1.matrix_200.csv.gz'],
    metadata_paths=['/path/to/server/workspace/upload/tsv_sample/v1.SRP092402.tsv'],
    dataset_name='Sample Dataset',
)

Check project creation status

connector.check_project_status(submit_result=submit_result)

Add new dataset to a project

submit_result = connector.add_project(
    project_id='prj_8dfbc6a8-4e22-444f-b4a2-4df000c48141',
    group_id='personal',
    species='human',
    matrix_paths=['/path/to/server/workspace//upload/tsv_sample/matrix_200.csv.gz'],
    metadata_paths=['/path/to/server/workspace//upload/tsv_sample/SRP092402.tsv'],
    dataset_name='Another Dataset'
)

connector.check_project_status(submit_result=submit_result)

Create project with multiple datasets with recipes

Create a new project with multiple dataset using recipes

This recipes file is a csv file that includes: 

    dataset_name: the name of dataset
    path_on_server: server path to the file in one dataset
    file_type: can be either matrix or metadata, identify the path_on_server type
    species: can be either human or mouse

Sample recipes.csv file:

dataset_name	path_on_server	file_type	species
Dataset_1	/path/to/server/workspace//upload/example_data/count_mat.csv	matrix	human
Dataset_1	/path/to/server/workspace//upload/example_data/metadata.csv	metadata	human
Dataset_2	/path/to/server/workspace//upload/example_data/count_mat_2.csv	matrix	human
Dataset_2	/path/to/server/workspace//upload/example_data/count_mat_3.csv	matrix	human
Dataset_2	/path/to/server/workspace//upload/example_data/metadata_2.csv	metadata	human
Dataset_2	/path/to/server/workspace//upload/example_data/metadata_3.csv	metadata	human

connector.create_project_from_recipes(
    group_id='personal', 
    recipes_path='example_data/recipes.csv', 
    project_name='sample dataset',
)

Add new dataset to a project with a recipes file

connector.add_project_from_recipes(
    project_id='prj_8dfbc6a8-4e22-444f-b4a2-4df000c48141',
    group_id='personal', 
    recipes_path='data/recipes.csv',
)

Resume add dataset to a project with a recipes file using tracelog

connector.create_project_from_recipes(
    group_id='personal',
    recipes_path='data/recipes.csv', 
    project_name='21_bulk_datasets',
    trace_log='prj_8dfbc6a8-4e22-444f-b4a2-4df000c48141/project_trace_log.json'
)

or

connector.add_project_from_recipes(
    project_id='prj_8dfbc6a8-4e22-444f-b4a2-4df000c48141',
    group_id='personal', 
    recipes_path='data/recipes.csv',
    trace_log='prj_8dfbc6a8-4e22-444f-b4a2-4df000c48141/project_trace_log.json'
)