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Job request: 20315

Organisation:
Workspace:
covid-diabetes-care
ID:
i3gkqmvq75qjcf6k

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

By cross-referencing the indicated Requested Actions with the Pipeline section below, you can infer what security level various outputs were written to. Outputs marked as highly_sensitive can never be viewed directly by a researcher; 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

Pipeline

Show project.yaml
version: '3.0'

expectations:
  population_size: 1000

actions:

  generate_dataset_2019:
    run: >
      ehrql:v0 
        generate-dataset analysis/dataset_definition_2019.py
        --output output/dataset_2019.arrow
    outputs:
      highly_sensitive:
        cohort: output/dataset_2019.arrow

  generate_dataset_2020:
    run: >
      ehrql:v0 
        generate-dataset analysis/dataset_definition_2020.py
        --output output/dataset_2020.arrow
    outputs:
      highly_sensitive:
        cohort: output/dataset_2020.arrow

  generate_dataset_2021:
    run: >
      ehrql:v0 
        generate-dataset analysis/dataset_definition_2021.py
        --output output/dataset_2021.arrow
    outputs:
      highly_sensitive:
        cohort: output/dataset_2021.arrow

  generate_dataset_2022:
    run: >
      ehrql:v0 
        generate-dataset analysis/dataset_definition_2022.py
        --output output/dataset_2022.arrow
    outputs:
      highly_sensitive:
        cohort: output/dataset_2022.arrow

  generate_dataset_2023:
    run: >
      ehrql:v0 
        generate-dataset analysis/dataset_definition_2023.py
        --output output/dataset_2023.arrow
    outputs:
      highly_sensitive:
        cohort: output/dataset_2023.arrow

  generate_report_notebook:
    run: jupyter:latest jupyter nbconvert /workspace/analysis/notebooks/summarise_dataset.ipynb --execute --to html --output-dir=/workspace/output --no-input --ExecutePreprocessor.timeout=86400
    needs: [generate_dataset_2019, generate_dataset_2020, generate_dataset_2021, generate_dataset_2022, generate_dataset_2023]
    outputs:
      moderately_sensitive:
        notebook: output/summarise_dataset.html
        prescribing_tables: output/prescribing*.csv
        totals_tables: output/totals*.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 03:27:58

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

Job information

Status
Succeeded
Backend
TPP
Requested by
Alex Walker
Branch
main
Force run dependencies
No
Git commit hash
439695f
Requested actions
  • generate_dataset_2019
  • generate_dataset_2020
  • generate_dataset_2021
  • generate_dataset_2022
  • generate_dataset_2023