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author | Peter Amstutz | 2020-04-06 14:11:41 -0400 |
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committer | Peter Amstutz | 2020-04-06 14:11:41 -0400 |
commit | 2c69ca48ce1a9ab431afcc891bdad8c495c9768e (patch) | |
tree | e761e2205110e3bd4278807a96d8f178bc41da00 /bh20seqanalyzer/main.py | |
parent | fd137721188b0044b9259b3a9aed14c155477888 (diff) | |
download | bh20-seq-resource-2c69ca48ce1a9ab431afcc891bdad8c495c9768e.tar.gz bh20-seq-resource-2c69ca48ce1a9ab431afcc891bdad8c495c9768e.tar.lz bh20-seq-resource-2c69ca48ce1a9ab431afcc891bdad8c495c9768e.zip |
Add service to automatically run a workflow on collections uploaded to a project.
Diffstat (limited to 'bh20seqanalyzer/main.py')
-rw-r--r-- | bh20seqanalyzer/main.py | 55 |
1 files changed, 55 insertions, 0 deletions
diff --git a/bh20seqanalyzer/main.py b/bh20seqanalyzer/main.py new file mode 100644 index 0000000..23e58e9 --- /dev/null +++ b/bh20seqanalyzer/main.py @@ -0,0 +1,55 @@ +import argparse +import arvados +import time +import subprocess +import tempfile +import json + +def start_analysis(api, collection, analysis_project, workflow_uuid): + project = api.groups().create(body={ + "group_class": "project", + "name": "Analysis of %s" % collection["name"], + "owner_uuid": analysis_project, + }, ensure_unique_name=True).execute() + + with tempfile.NamedTemporaryFile() as tmp: + inputobj = json.dumps({ + "sequence": { + "class": "File", + "location": "keep:%s/sequence.fasta" % collection["portable_data_hash"] + }, + "metadata": { + "class": "File", + "location": "keep:%s/metadata.jsonld" % collection["portable_data_hash"] + } + }, indent=2) + tmp.write(inputobj.encode('utf-8')) + tmp.flush() + cmd = ["arvados-cwl-runner", + "--submit", + "--no-wait", + "--debug", + "--project-uuid=%s" % project["uuid"], + "arvwf:%s" % workflow_uuid, + tmp.name] + print("Running %s" % ' '.join(cmd)) + comp = subprocess.run(cmd, capture_output=True) + if comp.returncode != 0: + print(comp.stderr.decode('utf-8')) + else: + api.collections().update(uuid=collection["uuid"], body={"owner_uuid": project['uuid']}).execute() + +def main(): + parser = argparse.ArgumentParser(description='Analyze collections uploaded to a project') + parser.add_argument('--uploader-project', type=str, default='lugli-j7d0g-n5clictpuvwk8aa', help='') + parser.add_argument('--analysis-project', type=str, default='lugli-j7d0g-y4k4uswcqi3ku56', help='') + parser.add_argument('--workflow-uuid', type=str, default='lugli-7fd4e-mqfu9y3ofnpnho1', help='') + args = parser.parse_args() + + api = arvados.api() + + while True: + new_collections = api.collections().list(filters=[['owner_uuid', '=', args.uploader_project]]).execute() + for c in new_collections["items"]: + start_analysis(api, c, args.analysis_project, args.workflow_uuid) + time.sleep(10) |