Skip to content

Job request: 20251

Organisation:
Bennett Institute
Workspace:
tpp-database-history
ID:
ezsn55po66gk2tqp
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 in the project, within a secure environment.

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level various outputs were written to. Researchers can never directly view outputs marked as highly_sensitive ; they can only request that code runs against them. Outputs marked as moderately_sensitive can be viewed by an approved researcher by logging into a highly secure environment. Only outputs marked as moderately_sensitive can be requested for release to the public, via a controlled output review service.

Jobs

  • Action:
    query
    Status:
    Status: Succeeded
    Job identifier:
    w54bik3zbod2vfr2
  • Action:
    aggregate
    Status:
    Status: Succeeded
    Job identifier:
    5o2villfetiq5nfw
  • Action:
    plot_from_2016
    Status:
    Status: Succeeded
    Job identifier:
    hm6lyel245qods6f
  • Action:
    plot_from_2020
    Status:
    Status: Succeeded
    Job identifier:
    sl6xzhhka24fwajt
  • Action:
    plot_from_last_30_days
    Status:
    Status: Succeeded
    Job identifier:
    2cihqjxn4r2oexob
  • Action:
    render_report
    Status:
    Status: Succeeded
    Job identifier:
    ouzf46qxsbpji2rk

Pipeline

Show project.yaml 
version: "3.0"

expectations:
  population_size: 1000

actions:
  query:
    run: >
      sqlrunner:latest
        --dummy-data-file output/generate_dummy_rows/dummy_rows.csv.gz
        --output output/query/rows.csv.gz
        analysis/query.sql
    outputs:
      highly_sensitive:
        rows: output/query/rows.csv.gz

  aggregate:
    needs: [query]
    run: python:latest python -m analysis.aggregate
    outputs:
      moderately_sensitive:
        aggregates: output/aggregate/*_by_*.csv.gz

  plot_from_2016:
    needs: [aggregate]
    run: >
      python:latest python -m analysis.plot
        --from-date 2016-01-01
        --output output/plot_from_2016
    outputs:
      moderately_sensitive:
        plots: output/plot_from_2016/*.png

  plot_from_2020:
    needs: [aggregate]
    run: >
      python:latest python -m analysis.plot
        --from-date 2020-02-01
        --output output/plot_from_2020
    outputs:
      moderately_sensitive:
        plots: output/plot_from_2020/*.png

  plot_from_last_30_days:
    needs: [aggregate]
    run: >
      python:latest python -m analysis.plot
        --from-offset 30
        --output output/plot_from_last_30_days
    outputs:
      moderately_sensitive:
        plots: output/plot_from_last_30_days/*.png

  render_report:
    needs: [plot_from_2016, plot_from_2020, plot_from_last_30_days]
    run: python:latest python -m analysis.render_report
    outputs:
      moderately_sensitive:
        report: output/render_report/report.html

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 01:18:10

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

Job information

Status
Succeeded
Backend
TPP
Workspace
tpp-database-history
Requested by
Iain Dillingham
Branch
main
Force run dependencies
Yes
Git commit hash
d5ab90d
Requested actions
  • run_all

Code comparison

Compare the code used in this Job Request