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Job request: 18147

Organisation:
Bennett Institute
Workspace:
airmid-short-data-report
ID:
h5wyg642j6bcrpbs
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Iain Dillingham requested one or more actions to be run against real patient data within a secure environment.

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level the outputs were written to.

The output security levels are:

  • highly_sensitive
    • Researchers can never directly view these outputs
    • Researchers can only request code is run against them
  • moderately_sensitive
    • Can be viewed by an approved researcher by logging into a highly secure environment
    • These are the only outputs that can be requested for public release via a controlled output review service.

Jobs

Pipeline

Show project.yaml 
version: "3.0"

expectations:
  population_size: 1000

actions:
  non_tpp_participants:
    run: sqlrunner:latest
      --output output/non_tpp_participants/rows.csv
      --dummy-data-file analysis/non_tpp_participants/dummy_rows.csv
      analysis/non_tpp_participants/query.sql
    outputs:
      moderately_sensitive:
        rows: output/non_tpp_participants/rows.csv

  code_system_id:
    run: sqlrunner:latest
      --output output/code_system_id/rows.csv
      --dummy-data-file analysis/code_system_id/dummy_rows.csv
      analysis/code_system_id/query.sql
    outputs:
      moderately_sensitive:
        rows: output/code_system_id/rows.csv

  coded_event_id:
    run: sqlrunner:latest
      --output output/coded_event_id/rows.csv
      --dummy-data-file analysis/coded_event_id/dummy_rows.csv
      analysis/coded_event_id/query.sql
    outputs:
      moderately_sensitive:
        rows: output/coded_event_id/rows.csv

  consultation_date:
    run: sqlrunner:latest
      --output output/consultation_date/rows.csv
      --dummy-data-file analysis/consultation_date/dummy_rows.csv
      analysis/consultation_date/query.sql
    outputs:
      moderately_sensitive:
        rows: output/consultation_date/rows.csv

  patients_by_surveys:
    run: sqlrunner:latest
      --output output/patients_by_surveys/rows.csv
      --dummy-data-file analysis/patients_by_surveys/dummy_rows.csv
      analysis/patients_by_surveys/query.sql
    outputs:
      moderately_sensitive:
        rows: output/patients_by_surveys/rows.csv

  row_response:
    run: sqlrunner:latest
      --output output/row_response/rows.csv
      --dummy-data-file analysis/row_response/dummy_rows.csv
      analysis/row_response/query.sql
    outputs:
      moderately_sensitive:
        rows: output/row_response/rows.csv

  is_consultation_id_fk:
    run: sqlrunner:latest
      --output output/is_consultation_id_fk/rows.csv
      --dummy-data-file analysis/is_consultation_id_fk/dummy_rows.csv
      analysis/is_consultation_id_fk/query.sql
    outputs:
      moderately_sensitive:
        rows: output/is_consultation_id_fk/rows.csv

  model_data_structure_from_query:
    run: sqlrunner:latest
      --output output/model_data_structure/rows.csv
      --dummy-data-file analysis/model_data_structure/dummy_rows.csv
      analysis/model_data_structure/query.sql
    outputs:
      highly_sensitive:
        rows: output/model_data_structure/rows.csv

  model_data_structure_from_dataset_definition:
    run: ehrql:v0
      generate-dataset
      --output output/model_data_structure/dataset.csv
      analysis/model_data_structure/dataset_definition.py
      --
      --day=0
    outputs:
      highly_sensitive:
        rows: output/model_data_structure/dataset.csv

  num_consultations_by_offset:
    run: sqlrunner:latest
      --output output/num_consultations_by_offset/rows.csv
      --dummy-data-file analysis/num_consultations_by_offset/dummy_rows.csv
      analysis/num_consultations_by_offset/query.sql
    outputs:
      moderately_sensitive:
        rows: output/num_consultations_by_offset/rows.csv

  numeric_value:
    run: sqlrunner:latest
      --output output/numeric_value/rows.csv
      --dummy-data-file analysis/numeric_value/dummy_rows.csv
      analysis/numeric_value/query.sql
    outputs:
      moderately_sensitive:
        rows: output/numeric_value/rows.csv

  duplicate_responses:
    run: sqlrunner:latest
      --output output/duplicate_responses/rows.csv
      --dummy-data-file analysis/duplicate_responses/dummy_rows.csv
      analysis/duplicate_responses/query.sql
    outputs:
      moderately_sensitive:
        rows: output/duplicate_responses/rows.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:00:23

These timestamps are generated and stored using the UTC timezone on the TPP backend.

Job request

Status
Succeeded
Backend
TPP
Workspace
airmid-short-data-report
Requested by
Iain Dillingham
Branch
main
Force run dependencies
No
Git commit hash
6ac9679
Requested actions
  • model_data_structure_from_dataset_definition
  • duplicate_responses

Code comparison

Compare the code used in this job request