/
__init__.py
176 lines (146 loc) · 4.31 KB
/
__init__.py
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from __future__ import print_function
from .config import Connection
from .version import __version__
api = None
"""
Transcriptic
============
The Transcriptic library is separated into three components:
1) Core. The core modules provide a barebones client for making calls to
the Transcriptic webapp to create and obtain data. This can be done via the
`api` object or via the command-line using the CLI.
2) Jupyter. This module provides a Jupyter-centric means for interacting with
objects returned from the Transcriptic webapp such as Run, Project and Dataset.
3) Analysis. This module provides some basic analysis wrappers around datasets
returned from the webapp using standard Python scientific libraries.
The __init__ file contains a bunch of entry functions to facilitate easy access
to the Jupyter library.
"""
""" Allow direct import of Jupyter objects such as `Run` directly if the
required imports are present
"""
try:
from .jupyter import Run, Project, Container, Dataset, ProtocolPreview
except ImportError as e:
pass
def run(run_id):
"""
Creates a Run object for the specified run-id
Parameters
----------
run_id: str
Id of Run, e.g. r123456789
Returns
------
Run object: Run
Transcriptic representation of a Run object
"""
from .jupyter import Run
return Run(run_id)
def project(project_id):
"""
Creates a Project object for the specified project-id
Parameters
----------
project_id: str
Id of Project, e.g. p123456789
Returns
------
Project object: Project
Transcriptic representation of a Project object
"""
from .jupyter import Project
return Project(project_id)
def container(container_id):
"""
Creates a Container object for the specified container-id
Parameters
----------
container_id: str
Id of Container, e.g. ct123456789
Returns
------
Container object: Container
Transcriptic representation of a Container object
"""
from .jupyter import Container
return Container(container_id)
def preview(protocol):
"""
Creates a protocol preview object for the specified protocol
Parameters
----------
protocol: dictionary
protocol JSON in dictionary format
Returns
------
Protocol object: ProtocolPreview
Transcriptic representation of a Protocol object
"""
from .cli import ProtocolPreview
return ProtocolPreview(protocol, connection=api)
def analyze(protocol, test_mode=False):
"""
Analyze a given protocol
Parameters
----------
protocol: dict
Autoprotocol JSON in dictionary format
test_mode: boolean
whether protocol should be analyzed under test mode
Returns
------
Analysis result: dict
Raw result of the analysis
"""
return api.analyze_run(protocol, test_mode)
def submit(protocol, project_id, title=None, test_mode=False):
"""
Submit a given protocol
Parameters
----------
protocol: dict
Autoprotocol JSON in dictionary format
project_id: str
Project to submit Autoprotocol to
title: str
Name of Run
test_mode: boolean
whether protocol should be submitted as a test run
Returns
------
Submission result: dict
Raw result of the submission
"""
return api.submit_run(protocol, project_id=project_id, title=title,
test_mode=test_mode)
def dataset(data_id, key="*"):
"""
Get dataset for a given data_id
Parameters
----------
data_id
Id of desired dataset, e.g. d123456789
key
Key of desired sub-fields of dataset
Returns
------
Data: dict
Data in JSON form
"""
return api.dataset(data_id=data_id, key=key)
def connect(transcriptic_path="~/.transcriptic"):
"""
Instantiates a Connection based on the specified path, and overwrites the
existing `api` object with this Connection
Parameters
----------
transcriptic_path:
Path to transcriptic dot-file
"""
#TODO: Mirror login code from CLI
try:
api = Connection.from_file(transcriptic_path)
except (OSError, IOError):
print("Unable to find .transcriptic file, please ensure the right path"
" is provided")