Skip to main content

Tools for ACDC ETL pipeline

Project description

acdc-aws-etl-pipeline

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

Ingestion

DBT

Release Management

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>

# Deploying to test
VERSION=v0.6.3
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


# Deploying to staging
VERSION=v1.0.0
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-staging-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
# to see argumments
python3 services/synthetic_data/upload_synth_metadata_sheepdog.py -h

# to upload metadata for version v0.6.3
python3 services/synthetic_data/upload_synth_metadata_sheepdog.py --version v0.6.3

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

acdc_aws_etl_pipeline-0.6.1.tar.gz (33.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

acdc_aws_etl_pipeline-0.6.1-py3-none-any.whl (38.1 kB view details)

Uploaded Python 3

File details

Details for the file acdc_aws_etl_pipeline-0.6.1.tar.gz.

File metadata

  • Download URL: acdc_aws_etl_pipeline-0.6.1.tar.gz
  • Upload date:
  • Size: 33.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.2.1 CPython/3.9.25 Linux/6.11.0-1018-azure

File hashes

Hashes for acdc_aws_etl_pipeline-0.6.1.tar.gz
Algorithm Hash digest
SHA256 2a6049c2dc2987db52512ff6e69313882463caeca5fd7d67f25d4f82f83ca1ff
MD5 5b582448c900b86a348e775394a50be7
BLAKE2b-256 cfcb30a4d60f1570d9994d2062abd109cb2bb132f06dbc02820e5827dcb95554

See more details on using hashes here.

File details

Details for the file acdc_aws_etl_pipeline-0.6.1-py3-none-any.whl.

File metadata

File hashes

Hashes for acdc_aws_etl_pipeline-0.6.1-py3-none-any.whl
Algorithm Hash digest
SHA256 bbfbd906f9478926142eae16412b808df933b09369bb90430359532bfd0d39f5
MD5 f8ad27dc5616b836751564eba317c99a
BLAKE2b-256 3222f37244360922a1646f5e5939e595c1289ff767d0630674dcb79252c0ec8f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page