containers/docker/dicom_indexer/indexer/index_dicom.py

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import os
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import pydicom as dicom
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import argparse
import pathlib
import urllib.parse
import datalad.api as dlad
import shutil
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import gitlab
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import tempfile
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import logging
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import subprocess
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from contextlib import contextmanager
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GITLAB_REMOTE_NAME = os.environ.get("GITLAB_REMOTE_NAME", "gitlab")
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GITLAB_TOKEN = os.environ.get("GITLAB_TOKEN", None)
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# TODO: rewrite for pathlib.Path input
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def sort_series(path: pathlib.Path) -> None:
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"""Sort series in separate folder
Parameters
----------
path : str
path to dicoms
"""
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files = path.glob(os.path.join(path, "*"))
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for f in files:
if not os.path.isfile(f):
continue
dic = dicom.read_file(f, stop_before_pixels=True)
# series_number = dic.SeriesNumber
series_instance_uid = dic.SeriesInstanceUID
subpath = os.path.join(path, series_instance_uid)
if not os.path.exists(subpath):
os.mkdir(subpath)
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os.rename(f, os.path.join(subpath, f.name))
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def _build_arg_parser() -> argparse.ArgumentParser:
p = argparse.ArgumentParser(
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description="dicom_indexer - indexes dicoms into datalad"
)
p.add_argument("input", help="path/url of the dicom.")
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p.add_argument(
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"--gitlab-url",
type=str,
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default=os.environ.get("GITLAB_SERVER", None),
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help="http(s) url to the gitlab server where to push repos",
)
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p.add_argument(
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"--gitlab-group-template",
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default="{ReferringPhysicianName}/{StudyDescription}",
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type=str,
help="string with placeholder for dicom tags",
)
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p.add_argument(
"--session-name-tag",
default="PatientName",
type=str,
help="dicom tags that contains the name of the session",
)
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p.add_argument("--storage-remote", help="url to the datalad remote")
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p.add_argument(
"--sort-series",
type=bool,
default=True,
help="sort dicom series in separate folders",
)
p.add_argument(
"--fake-dates",
action="store_true",
help="use fake dates for datalad dataset",
)
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p.add_argument(
"--p7z-opts",
type=str,
default="-mx5 -ms=off",
help="option for 7z generated archives",
)
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return p
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def main() -> None:
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parser = _build_arg_parser()
args = parser.parse_args()
input = urllib.parse.urlparse(args.input)
output_remote = urllib.parse.urlparse(args.storage_remote)
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gitlab_url = urllib.parse.urlparse(args.gitlab_url)
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with index_dicoms(
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input,
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sort_series=args.sort_series,
fake_dates=args.fake_dates,
p7z_opts=args.p7z_opts,
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) as dicom_session_ds:
session_metas = extract_session_metas(dicom_session_ds)
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if (
not input.scheme
or input.scheme == "file"
or args.force_export
and output_remote
):
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export_data(dicom_session_ds, output_remote, session_metas)
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setup_gitlab_repos(
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dicom_session_ds,
gitlab_url=gitlab_url,
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dicom_session_tag=args.session_name_tag,
session_metas=session_metas,
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gitlab_group_template=args.gitlab_group_template
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)
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@contextmanager
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def index_dicoms(
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input: urllib.parse.ParseResult,
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sort_series: bool,
fake_dates: bool,
p7z_opts: str,
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) -> dlad.Dataset:
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"""Process incoming dicoms into datalad repo"""
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with tempfile.TemporaryDirectory() as tmpdirname:
dicom_session_ds = dlad.create(tmpdirname, fake_dates=fake_dates)
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if not input.scheme or input.scheme == "file":
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dest = import_local_data(
dicom_session_ds,
pathlib.Path(input.path),
sort_series=sort_series,
p7z_opts=p7z_opts,
)
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elif input.scheme in ["http", "https", "s3"]:
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dest = import_remote_data(dicom_session_ds, input_url)
# index dicoms files
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dlad.add_archive_content(
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dest,
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dataset=dicom_session_ds,
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strip_leading_dirs=True,
commit=False,
)
# cannot pass message above so commit now
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dicom_session_ds.save(message="index dicoms from archive") #
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# optimize git index after large import
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dicom_session_ds.repo.gc() # aggressive by default
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yield dicom_session_ds
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def export_data(
dicom_session_ds: dlad.Dataset,
output_remote: urllib.parse.ParseResult,
session_metas: dict,
):
if output_remote.scheme == "ria":
export_to_ria(dicom_session_ds, output_remote, session_metas)
elif output_remote.scheme == "s3":
export_to_s3(dicom_session_ds, output_remote, session_metas)
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def setup_gitlab_repos(
dicom_session_ds: dlad.Dataset,
gitlab_url: urllib.parse.ParseResult,
session_metas: dict,
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dicom_session_tag: str,
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gitlab_group_template: str,
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) -> None:
gitlab_conn = connect_gitlab(gitlab_url)
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gitlab_group_path = gitlab_group_template.format(**session_metas)
dicom_sourcedata_path = "/".join([gitlab_group_path, "sourcedata/dicoms"])
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dicom_session_path = "/".join(
[dicom_sourcedata_path, session_metas["StudyInstanceUID"]]
)
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dicom_study_path = "/".join([dicom_sourcedata_path, "study"])
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dicom_session_repo = get_or_create_gitlab_project(gitlab_conn, dicom_session_path)
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ds.siblings(
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action="configure", # allow to overwrite existing config
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name=GITLAB_REMOTE_NAME,
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url=dicom_session_repo._attrs["ssh_url_to_repo"],
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)
ds.push(to=GITLAB_REMOTE_NAME)
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study_group = get_or_create_group(gitlab_conn, gitlab_group_path)
bot_user = gitlab_conn.users.list(username=GITLAB_BOT_USERNAME)[0]
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study_group.members.create(
{
"user_id": bot_user.id,
"access_level": gitlab.const.AccessLevel.MAINTAINER,
}
)
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## add the session to the dicom study repo
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dicom_study_repo = get_or_create_project(gl, dicom_study_path)
with tempfile.TemporaryDirectory() as tmpdir:
dicom_study_ds = datalad.api.install(
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source=dicom_study_repo._attrs["ssh_url_to_repo"],
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path=tmpdir,
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)
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if dicom_study_ds.repo.get_hexsha() is None or dicom_study_ds.id is None:
dicom_study_ds.create(force=True)
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dicom_study_ds.push(to="origin")
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# add default study DS structure.
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init_dicom_study(dicom_study_ds, gitlab_group_path)
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# initialize BIDS project
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init_bids(gitlab_conn, dicom_study_repo, gitlab_group_path)
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# create subgroup for QC and derivatives repos
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create_group(gitlab_conn, f"{gitlab_group_path}/derivatives")
create_group(gitlab_conn, f"{gitlab_group_path}/qc")
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dicom_study_ds.install(
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source=dicom_session_repo._attrs["ssh_url_to_repo"],
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path=session_metas.get(dicom_session_tag),
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)
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# Push to gitlab + local ria-store
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dicom_study_ds.push(to="origin")
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dicom_study_ds.push(to=UNF_DICOMS_RIA_NAME)
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def init_bids(
gl: gitlab.Gitlab,
dicom_study_repo: dlad.Dataset,
gitlab_group_path: str,
) -> None:
bids_project_repo = create_project(gl, f"{gitlab_group_path}/bids")
with tempfile.TemporaryDirectory() as tmpdir:
bids_project_ds = datalad.api.install(
source=bids_project_repo._attrs["ssh_url_to_repo"],
path=tmpdir,
)
bids_project_ds.create(force=True)
shutil.copytree("repo_templates/bids", bids_project_ds.path, dirs_exist_ok=True)
bids_project_ds.save(path=".", message="init structure and pipelines")
bids_project_ds.install(
path="sourcedata/dicoms",
source=dicom_study_repo._attrs["ssh_url_to_repo"],
)
# TODO: setup sensitive / non-sensitive S3 buckets
bids_project_ds.push(to="origin")
# create dev branch and push for merge requests
bids_project_ds.gitrepo.checkout(BIDS_DEV_BRANCH, ["-b"])
bids_project_ds.push(to="origin")
bids_project_ds.protectedbranches.create(data={"name": "convert/*"})
bids_project_ds.protectedbranches.create(data={"name": "dev"})
def init_dicom_study(
dicom_study_ds: dlad.Dataset,
gitlab_group_path: str,
) -> None:
shutil.copytree(
"repo_templates/dicom_study", dicom_study_ds.path, dirs_exist_ok=True
)
env = {
"variables": {
"STUDY_PATH": gitlab_group_path,
"BIDS_PATH": f"{gitlab_group_path}/bids",
}
}
with open(os.path.join(dicom_study_ds.path, "ci-env.yml"), "w") as outfile:
yaml.dump(env, outfile, default_flow_style=False)
dicom_study_ds.save(path=".", message="init structure and pipelines")
dicom_study_ds.push(to="origin")
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SESSION_META_KEYS = [
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"StudyInstanceUID",
"PatientID",
"PatientName",
"ReferringPhysicianName",
"StudyDate",
"StudyDescription",
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]
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def extract_session_metas(dicom_session_ds: dlad.Dataset) -> dict:
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all_files = dicom_session_ds.repo.get_files()
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for f in all_files:
try:
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dic = dicom.read_file(dicom_session_ds.pathobj/f, stop_before_pixels=True)
except Exception as e: # TODO: what exception occurs when non-dicom ?
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continue
# return at first dicom found
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return {k: str(getattr(dic, k)).replace('^','/') for k in SESSION_META_KEYS}
raise InputError('no dicom found')
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def import_local_data(
dicom_session_ds: dlad.Dataset,
input_path: pathlib.Path,
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sort_series: bool = True,
p7z_opts: str = "-mx5",
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):
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dest = input_path.name
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if input_path.is_dir():
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dest = dest + ".7z"
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# create 7z archive with 1block/file parameters
subprocess.run(
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["7z", "u", str(dest), "."] + p7z_opts.split(),
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cwd=dicom_session_ds.path,
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)
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elif input_path.is_file():
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dest = dicom_session_ds.pathobj / dest
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try: # try hard-linking to avoid copying
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os.link(str(input_path), str(dest))
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except OSError: # fallback if hard-linking not supported
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shutil.copyfile(str(input_path), str(dest))
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dicom_session_ds.save(dest, message="add dicoms archive")
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return dest
def import_remote_data(
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dicom_session_ds: dlad.Dataset, input_url: urllib.parse.ParseResult
):
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try:
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dest = pathlib.Path(url.path).name
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dicom_session_ds.repo.add_url_to_file(dest, url)
except Exception:
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... # TODO: check how things can fail here and deal with it.
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return dest
def export_to_ria(
ds: dlad.Dataset,
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ria_url: urllib.parse.ParseResult,
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session_metas: dict,
):
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ria_name = pathlib.Path(ria_url.path).name
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ds.create_sibling_ria(
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ria_url, name=ria_name, alias=session_metas["PatientID"], existing="reconfigure"
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)
ds.push(to=ria_name, data="nothing")
ria_sibling_path = pathlib.Path(ds.siblings(name=ria_name)[0]["url"])
archive_path = ria_sibling_path / "archives" / "archive.7z"
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ds.export_archive_ora(
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archive_path, opts=[f"-mx{COMPRESSION_LEVEL}"], missing_content="error"
)
ds.repo.fsck(remote=f"{ria_url}-storage", fast=True) # index
ds.push(to=ria_name, data="nothing")
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def export_to_s3(
ds: dlad.Dataset,
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s3_url: urllib.parse.ParseResult,
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session_metas: dict,
):
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ds.repo.initremote()
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# git-annex initremote remotename ...
# git-annex wanted remotename include=**.{7z,tar.gz,zip}
# datalad push --data auto --to remotename
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def connect_gitlab(
gitlab_url: urllib.parse.ParseResult, debug: bool = False
) -> gitlab.Gitlab:
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"""
Connection to Gitlab
"""
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gl = gitlab.Gitlab(gitlab_url.geturl(), private_token=GITLAB_TOKEN)
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if debug:
gl.enable_debug()
gl.auth()
return gl
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def get_or_create_gitlab_group(
gl: gitlab.Gitlab,
group_path: str,
):
"""fetch or create a gitlab group"""
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group_list = group_path.split("/")
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found = False
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for keep_groups in reversed(range(len(group_list) + 1)):
tmp_repo_path = "/".join(group_list[0:keep_groups])
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logging.warning(tmp_repo_path)
gs = gl.groups.list(search=tmp_repo_path)
for g in gs:
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if g.full_path == tmp_repo_path:
found = True
break
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if found:
break
for nb_groups in range(keep_groups, len(group_list)):
if nb_groups == 0:
msg = "Creating group {}".format(group_list[nb_groups])
logging.warning(msg)
logging.warning(len(msg) * "=")
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g = gl.groups.create(
{"name": group_list[nb_groups], "path": group_list[nb_groups]}
)
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else:
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msg = "Creating group {} from {}".format(group_list[nb_groups], g.name)
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logging.warning(msg)
logging.warning(len(msg) * "=")
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g = gl.groups.create(
{
"name": group_list[nb_groups],
"path": group_list[nb_groups],
"parent_id": g.id,
}
)
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return g
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def get_or_create_gitlab_project(gl: gitlab.Gitlab, project_path: str):
"""fetch or create a gitlab repo"""
project_name = project_path.split("/")
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if len(project_name) == 1:
# Check if exists
p = gl.projects.list(search=project_name[0])
if not p:
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p = gl.projects.create({"name": project_name[0], "path": project_name[0]})
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return p.id
else:
return p[0].id
# Look for exact repo/project:
p = gl.projects.list(search=project_name[-1])
if p:
for curr_p in p:
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if curr_p.path_with_namespace == project_path:
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return curr_p
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g = get_or_create_gitlab_group(gl, '/'.join(project_name[:-1]))
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p = gl.projects.create({"name": project_name[-1], "namespace_id": g.id})
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return p
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if __name__ == "__main__":
main()