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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,188 @@ | ||
| import csv | ||
| import logging | ||
| from collections import defaultdict | ||
| from io import StringIO | ||
| from typing import Dict, List | ||
|
|
||
| import click | ||
| from google.cloud import storage | ||
|
|
||
| from metamist.apis import ParticipantApi | ||
| from metamist.graphql import gql, query | ||
| from metamist.models import ( | ||
| ParticipantUpsert, | ||
| SampleUpsert, | ||
| ) | ||
|
|
||
| SAMPLE_QUERY = gql( | ||
| """ | ||
| query getSampleData($project: String!) { | ||
| project(name: $project) { | ||
| id | ||
| } | ||
| sample(project: {eq: $project}) { | ||
| id | ||
| active | ||
| externalId | ||
| sequencingGroups { | ||
| id | ||
| assays { | ||
| id | ||
| meta | ||
| } | ||
| analyses { | ||
| id | ||
| output | ||
| outputs | ||
| meta | ||
| } | ||
| } | ||
| } | ||
| } | ||
| """ | ||
| ) | ||
|
|
||
| PARTICIPANT_QUERY = gql( | ||
| """ | ||
| query getParticipantData($project: String!) { | ||
| project(name: $project) { | ||
| participants { | ||
| id | ||
| externalId | ||
| } | ||
| } | ||
| } | ||
| """ | ||
| ) | ||
|
|
||
| papi = ParticipantApi() | ||
|
|
||
|
|
||
| def map_sample_eid_to_sample_data(data: Dict[str, list]): | ||
| """Map sample external ID to sample data""" | ||
| return {sample['externalId']: sample for sample in data['sample']} | ||
|
|
||
|
|
||
| def get_sample_data(project: str): | ||
| """Get sample data from metamist""" | ||
| response = query(SAMPLE_QUERY, {'project': project}) | ||
| if not isinstance(response, dict): | ||
| raise ValueError('Expected a dictionary response from query') | ||
| return response | ||
|
|
||
|
|
||
| def create_participant(sample_data: list, peid: str, sex: int, external_org_name: str): | ||
| """Create participant upsert object""" | ||
| return ParticipantUpsert( | ||
| id=None, | ||
| external_ids={external_org_name: peid}, | ||
| reported_sex=sex, | ||
| samples=sample_data, | ||
| ) | ||
|
|
||
|
|
||
| def create_sample(project_id: int, seid: str, siid: str, external_org_name: str): | ||
| """Create sample upsert object""" | ||
| return SampleUpsert( | ||
| id=siid, | ||
| external_ids={external_org_name: seid}, | ||
| project=project_id, | ||
| ) | ||
|
|
||
|
|
||
| def read_files_from_gcs(bucket_name: str, file_path: str): | ||
| """Read files from GCS""" | ||
| client = storage.Client() | ||
| bucket = client.get_bucket(bucket_name) | ||
| blob = bucket.blob(file_path) | ||
| blob = blob.download_as_text(encoding='utf-8') | ||
| return StringIO(blob) | ||
|
|
||
|
|
||
| @click.command() | ||
| @click.option('--bucket', help='Bucket containing files. e.g. cpg-bucket-test-upload') | ||
| @click.option('--participant-meta', help='Path to participant metadata CSV.') | ||
| @click.option('--sample-meta', help='Path to sample metadata CSV.') | ||
| @click.option('--sample-external-id-column', help='Column name for sample external ID.') | ||
| @click.option('--external-org-name', required=False, help='External organization name.') | ||
| def main( | ||
| bucket: str, | ||
| participant_meta: str, | ||
| sample_meta: str, | ||
| sample_external_id_column: str, | ||
| external_org_name: str | None = None, | ||
| ): # pylint: disable=too-many-locals | ||
| """Upsert participants to metamist""" | ||
| # Query metamist | ||
| project = bucket.split('-')[1] # project name derived from bucket name | ||
| data_response = get_sample_data(project) | ||
| project_id = data_response.get('project')['id'] | ||
|
|
||
| # allow empty external_org_name for backwards compatibility | ||
| if external_org_name is None: | ||
| external_org_name = '' | ||
|
|
||
| sample_eid_mapping = map_sample_eid_to_sample_data(data_response) | ||
|
|
||
| # Set up logging | ||
| logging.basicConfig(level=logging.INFO) | ||
|
|
||
| # Read in csv | ||
| participant_data_io = read_files_from_gcs(bucket, participant_meta) | ||
| sample_data_io = read_files_from_gcs(bucket, sample_meta) | ||
|
|
||
| participant_data_list = list(csv.DictReader(participant_data_io)) | ||
| sample_data_list = list(csv.DictReader(sample_data_io, delimiter='\t')) | ||
|
|
||
| # Count of samples for each participant | ||
| participant_sample_count: Dict[str, int] = defaultdict(int) | ||
| metadata_map = {} | ||
| for meta_row in participant_data_list: | ||
| metadata_map[meta_row['sampleID']] = meta_row | ||
| peid = meta_row['externalID'] | ||
| participant_sample_count[peid] += 1 | ||
|
|
||
| # Map peid to a list of sample upsert objects | ||
| participant_sex_map = {} | ||
| participant_sample_map: Dict[str, List[SampleUpsert]] = defaultdict(list) | ||
|
|
||
| for name_row in sample_data_list: | ||
| # Get the external ID | ||
| seid = '.'.join(name_row['CRAM'].split('.')[:2]) | ||
|
|
||
| meta_row = metadata_map.get(name_row[sample_external_id_column]) | ||
| # Get participant external ID | ||
| peid = meta_row['externalID'] | ||
|
|
||
| # Code sex | ||
| sex = 2 if meta_row['isFemale'].upper() == 'TRUE' else 1 | ||
|
|
||
| # Get the sample internal ID | ||
| if seid not in sample_eid_mapping: | ||
| print(f'Sample {seid} not found in metamist.') | ||
| continue | ||
| siid = sample_eid_mapping[seid]['id'] | ||
|
|
||
| if peid not in participant_sample_map: | ||
| participant_sample_map[peid] = [] | ||
| participant_sex_map[peid] = sex | ||
| participant_sample_map[peid].append( | ||
| create_sample(project_id, seid, siid, external_org_name) | ||
| ) | ||
|
|
||
| participant_upserts = [] | ||
| for peid, sample_upserts in participant_sample_map.items(): | ||
| participant_upserts.append( | ||
| create_participant( | ||
| sample_upserts, peid, participant_sex_map[peid], external_org_name | ||
| ) | ||
| ) | ||
|
|
||
| # Upsert participants | ||
| api_response = papi.upsert_participants(project, participant_upserts) | ||
| print(api_response) | ||
|
|
||
|
|
||
| if __name__ == '__main__': | ||
| # pylint: disable=no-value-for-parameter | ||
| main() |
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