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A Python client for Sage Bionetworks' Synapse, a collaborative, open-source research platform that allows teams to share data, track analyses, and collaborate. The Python client can be used as a library for development of software that communicates with Synapse or as a command-line utility.
There is also a Synapse client for R.
For more information about the Python client, see:
For more information about interacting with Synapse, see:
For release information, see:
The Python Synapse client has been tested on 3.8, 3.9, 3.10 and 3.11 on Mac OS X, Ubuntu Linux and Windows.
Starting from Synapse Python client version 3.0, Synapse Python client requires Python >= 3.8
The Python Synapse Client is on PyPI and can be installed with pip:
(sudo) pip install synapseclient[pandas,pysftp]
...or to upgrade an existing installation of the Synapse client:
(sudo) pip install --upgrade synapseclient
The dependencies on pandas and pysftp are optional. Synapse Tables integrate
with Pandas. The library pysftp is required for users of
SFTP file storage. Both libraries require native code
to be compiled or installed separately from prebuilt binaries.
Clone the source code repository.
git clone git://github.com/Sage-Bionetworks/synapsePythonClient.git
cd synapsePythonClient
pip install .
The Synapse client can be used from the shell command prompt. Valid commands include: query, get, cat, add, update, delete, and onweb. A few examples are shown.
synapse -p auth_token get syn1528299
synapse -h
Note that a Synapse account is required.
The Synapse client can be used to write software that interacts with the Sage Bionetworks Synapse repository. More examples can be found in the Tutorial section found here
import synapseclient
syn = synapseclient.Synapse()
## You may optionally specify the debug flag to True to print out debug level messages.
## A debug level may help point to issues in your own code, or uncover a bug within ours.
# syn = synapseclient.Synapse(debug=True)
## log in using auth token
syn.login(authToken='auth_token')
This is the recommended way of synchronizing more than one file or directory to a synapse project through the use of synapseutils. Using this library allows us to handle scheduling everything required to sync an entire directory tree. Read more about the manifest file format in synapseutils.syncToSynapse
import synapseclient
import synapseutils
import os
syn = synapseclient.Synapse()
## log in using auth token
syn.login(authToken='auth_token')
path = os.path.expanduser("~/synapse_project")
manifest_path = f"{path}/my_project_manifest.tsv"
project_id = "syn1234"
# Create the manifest file on disk
with open(manifest_path, "w", encoding="utf-8") as f:
pass
# Walk the specified directory tree and create a TSV manifest file
synapseutils.generate_sync_manifest(
syn,
directory_path=path,
parent_id=project_id,
manifest_path=manifest_path,
)
# Using the generated manifest file, sync the files to Synapse
synapseutils.syncToSynapse(
syn,
manifestFile=manifest_path,
sendMessages=False,
)
import synapseclient
from synapseclient.entity import Project
syn = synapseclient.Synapse()
## log in using auth token
syn.login(authToken='auth_token')
project = Project('My uniquely named project')
project = syn.store(project)
print(project.id)
print(project)
import synapseclient
syn = synapseclient.Synapse()
## log in using auth token
syn.login(authToken='auth_token')
folder = Folder(name='my_folder', parent="syn123")
folder = syn.store(folder)
print(folder.id)
print(folder)
import synapseclient
syn = synapseclient.Synapse()
## log in using auth token
syn.login(authToken='auth_token')
file = File(
path=filepath,
parent="syn123",
)
file = syn.store(file)
print(file.id)
print(file)
import synapseclient
syn = synapseclient.Synapse()
## log in using auth token
syn.login(authToken='auth_token')
## retrieve a 100 by 4 matrix
matrix = syn.get('syn1901033')
## inspect its properties
print(matrix.name)
print(matrix.description)
print(matrix.path)
## load the data matrix into a dictionary with an entry for each column
with open(matrix.path, 'r') as f:
labels = f.readline().strip().split('\t')
data = {label: [] for label in labels}
for line in f:
values = [float(x) for x in line.strip().split('\t')]
for i in range(len(labels)):
data[labels[i]].append(values[i])
## load the data matrix into a numpy array
import numpy as np
np.loadtxt(fname=matrix.path, skiprows=1)
Authentication toward Synapse can be accomplished with the clients using personal access tokens. Learn more about Synapse personal access tokens
Learn about the multiple ways one can login to Synapse.
The purpose of synapseutils is to create a space filled with convenience functions that includes traversing through large projects, copying entities, recursively downloading files and many more.
import synapseutils
import synapseclient
syn = synapseclient.login()
# copies all Synapse entities to a destination location
synapseutils.copy(syn, "syn1234", destinationId = "syn2345")
# copies the wiki from the entity to a destination entity. Only a project can have sub wiki pages.
synapseutils.copyWiki(syn, "syn1234", destinationId = "syn2345")
# Traverses through Synapse directories, behaves exactly like os.walk()
walkedPath = synapseutils.walk(syn, "syn1234")
for dirpath, dirname, filename in walkedPath:
print(dirpath)
print(dirname)
print(filename)
OpenTelemetry helps support the analysis of traces and spans which can provide insights into latency, errors, and other performance metrics. The synapseclient is ready to provide traces should you want them. The Synapse Python client supports OTLP Exports and can be configured via environment variables as defined here.
Read more about OpenTelemetry in Python here
The following shows an example of setting up jaegertracing via docker and executing a simple python script that implements the Synapse Python client.
Start a docker container with the following options:
docker run --name jaeger \
-e COLLECTOR_OTLP_ENABLED=true \
-p 16686:16686 \
-p 4318:4318 \
jaegertracing/all-in-one:latest
Explanation of ports:
4318HTTP16686Jaeger UI
Once the docker container is running you can access the Jaeger UI via: http://localhost:16686
By default the OTEL exporter sends trace data to http://localhost:4318/v1/traces, however you may override this by setting the OTEL_EXPORTER_OTLP_TRACES_ENDPOINT environment variable.
import synapseclient
from opentelemetry import trace
from opentelemetry.sdk.trace import TracerProvider
from opentelemetry.sdk.trace.export import BatchSpanProcessor
from opentelemetry.sdk.resources import SERVICE_NAME, Resource
from opentelemetry.exporter.otlp.proto.http.trace_exporter import OTLPSpanExporter
trace.set_tracer_provider(
TracerProvider(
resource=Resource(attributes={SERVICE_NAME: "my_own_code_above_synapse_client"})
)
)
trace.get_tracer_provider().add_span_processor(BatchSpanProcessor(OTLPSpanExporter()))
tracer = trace.get_tracer("my_tracer")
@tracer.start_as_current_span("my_span_name")
def main():
syn = synapseclient.Synapse()
syn.login()
my_entity = syn.get("syn52569429")
print(my_entity)
main()
© Copyright 2013-23 Sage Bionetworks
This software is licensed under the Apache License, Version 2.0.
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