A high-level API for interacting with the Human Brain Project archival storage at CSCS
Project description
A high-level API for interacting with the Human Brain Project archival storage at CSCS.
Authors: Andrew Davison and Shailesh Appukuttan, CNRS
Documentation: https://hbp-archive.readthedocs.io
Installation: pip install hbp_archive
Usage:
from hbp_archive import Container, PublicContainer, Project, Archive
# Working with a public container
container = PublicContainer("https://object.cscs.ch/v1/AUTH_id/my_container")
files = container.list()
local_file = container.download("README.txt")
print(container.read("README.txt"))
number_of_files = container.count()
size_in_MB = container.size("MB")
# Working with a private container
container = Container("MyContainer", username="xyzabc") # you will be prompted for your password
files = container.list()
local_file = container.download("README.txt", overwrite=True) # default is not to overwrite existing files
print(container.read("README.txt"))
number_of_files = container.count()
size_in_MB = container.size("MB")
container.move("my_file.dat", "a_subdirectory", "new_name.dat") # move/rename file within a container
# Reading a file directly, without downloading it
with container.open("my_data.txt") as fp:
data = np.loadtxt(fp)
# Working with a project
my_proj = Project('MyProject', username="xyzabc")
container = my_proj.get_container("MyContainer")
# Listing all your projects
archive = Archive(username="xyzabc")
projects = archive.projects
container = archive.find_container("MyContainer") # will search through all projects
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