acdc_aws_etl_pipeline 0.3.5

Tools for ACDC ETL pipeline

acdc-aws-etl-pipeline

Infrastructure and code for the ACDC ETL pipeline and data operations in AWS

Ingestion

• ingestion
• upload_synthdata_s3

DBT

Release Management

• Writing DBT Releases

Deploying the dictionary

e.g. to testing

# Example 
bash services/dictionary/pull_dict.sh <raw_dictionary_url>
bash services/dictionary/upload_dictionary.py <local_dictionary_path> <s3_target_uri>

# implementation
VERSION=v0.6.1
bash services/dictionary/pull_dict.sh "https://raw.githubusercontent.com/AustralianBioCommons/acdc-schema-json/refs/tags/${VERSION}/dictionary/prod_dict/acdc_schema.json"
python3 services/dictionary/upload_dictionary.py "services/dictionary/schemas/acdc_schema_${VERSION}.json" s3://gen3schema-cad-uat-biocommons.org.au/cad.json

Generating synthetic metadata

• Run this script to generate synthetic metadata for the studies in the dictionary

# this will generate 30 samples for AusDiab_Simulated and 60 samples for Baker-Biobank_Simulated
bash services/synthetic_data/generate_synth_metadata.sh --studies "AusDiab_Simulated,Baker-Biobank_Simulated" --permute-max-samples "30,60"

uploading synthetic metadata to sheepdog

• Run this script to upload synthetic metadata to sheepdog

python3 services/synthetic_data/upload_synth_metadata_sheepdog.py