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Job request: 17548

Organisation:
Bennett Institute
Workspace:
opensafely-internal-interactive
ID:
5dbmtwj67u4zspdr
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Lucy Bridges 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:

  generate_study_population_ethnicity_01H08ET46JDBZDQ49RC1ZE06FS:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_ethnicity
      --output-dir output/01H08ET46JDBZDQ49RC1ZE06FS --output-format=feather
    outputs:
      highly_sensitive:
        cohort: output/01H08ET46JDBZDQ49RC1ZE06FS/input_ethnicity.feather

  generate_study_population_weekly_01H08ET46JDBZDQ49RC1ZE06FS:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition
      --param codelist_1_frequency="weekly"
      --param breakdowns=""
      --index-date_range="2023-04-24 to 2023-04-24 by week"
      --output-dir=output/01H08ET46JDBZDQ49RC1ZE06FS
      --output-format=feather
      --output-file=output/01H08ET46JDBZDQ49RC1ZE06FS/input_weekly_2023-04-24.feather
    outputs:
      highly_sensitive:
        cohort: output/01H08ET46JDBZDQ49RC1ZE06FS/input_weekly_2023-04-24.feather

  generate_study_population_01H08ET46JDBZDQ49RC1ZE06FS:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition
      --index-date-range="2019-09-01 to 2023-04-30 by month"
      --output-dir=output/01H08ET46JDBZDQ49RC1ZE06FS
      --output-format=feather
    outputs:
      highly_sensitive:
        cohort: output/01H08ET46JDBZDQ49RC1ZE06FS/input_*.feather

  join_cohorts_01H08ET46JDBZDQ49RC1ZE06FS:
    run: >
      cohort-joiner:v0.0.38
        --lhs output/01H08ET46JDBZDQ49RC1ZE06FS/input_20*.feather
        --rhs output/01H08ET46JDBZDQ49RC1ZE06FS/input_ethnicity.feather
        --output-dir output/01H08ET46JDBZDQ49RC1ZE06FS/joined
    needs: [generate_study_population_01H08ET46JDBZDQ49RC1ZE06FS, generate_study_population_ethnicity_01H08ET46JDBZDQ49RC1ZE06FS]
    outputs:
      highly_sensitive:
        cohort: output/01H08ET46JDBZDQ49RC1ZE06FS/joined/input_20*.feather

  generate_measures_01H08ET46JDBZDQ49RC1ZE06FS:
    run: >
      python:latest -m analysis.measures
        --breakdowns=ethnicity
        --breakdowns=imd
        --breakdowns=region
        --input-dir="output/01H08ET46JDBZDQ49RC1ZE06FS/joined"

    needs: [join_cohorts_01H08ET46JDBZDQ49RC1ZE06FS]
    outputs:
      moderately_sensitive:
        measure: output/01H08ET46JDBZDQ49RC1ZE06FS/joined/measure_all.csv
        decile_measure: output/01H08ET46JDBZDQ49RC1ZE06FS/joined/measure_practice_rate_deciles.csv

  top_5_table_01H08ET46JDBZDQ49RC1ZE06FS:
    run: >
      python:latest python analysis/top_5.py
      --codelist-1-path="interactive_codelists/codelist_1.csv"
      --codelist-2-path="interactive_codelists/codelist_2.csv"
      --output-dir="output/01H08ET46JDBZDQ49RC1ZE06FS"
    needs: [generate_measures_01H08ET46JDBZDQ49RC1ZE06FS]
    outputs:
      moderately_sensitive:
        tables: output/01H08ET46JDBZDQ49RC1ZE06FS/joined/top_5*.csv

  plot_measure_01H08ET46JDBZDQ49RC1ZE06FS:
    run: >
      python:latest python analysis/plot_measures.py
        --breakdowns=ethnicity
        --breakdowns=imd
        --breakdowns=region
        --output-dir output/01H08ET46JDBZDQ49RC1ZE06FS
    needs: [generate_measures_01H08ET46JDBZDQ49RC1ZE06FS]
    outputs:
      moderately_sensitive:
        measure: output/01H08ET46JDBZDQ49RC1ZE06FS/plot_measure*.png
        deciles: output/01H08ET46JDBZDQ49RC1ZE06FS/deciles_chart.png

  event_counts_01H08ET46JDBZDQ49RC1ZE06FS:
    run: >
      python:latest -m analysis.event_counts --input-dir="output/01H08ET46JDBZDQ49RC1ZE06FS" --output-dir="output/01H08ET46JDBZDQ49RC1ZE06FS"
    needs: [join_cohorts_01H08ET46JDBZDQ49RC1ZE06FS, generate_study_population_weekly_01H08ET46JDBZDQ49RC1ZE06FS]
    outputs:
      moderately_sensitive:
        measure: output/01H08ET46JDBZDQ49RC1ZE06FS/event_counts.json

  generate_report_01H08ET46JDBZDQ49RC1ZE06FS:
    run: >
      python:latest python analysis/render_report.py
      --output-dir="output/01H08ET46JDBZDQ49RC1ZE06FS"
    needs: [event_counts_01H08ET46JDBZDQ49RC1ZE06FS, top_5_table_01H08ET46JDBZDQ49RC1ZE06FS, plot_measure_01H08ET46JDBZDQ49RC1ZE06FS]
    outputs:
      moderately_sensitive:
        notebook: output/01H08ET46JDBZDQ49RC1ZE06FS/report.html

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 26:01:49

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

Job request

Status
Succeeded
Backend
TPP
Workspace
opensafely-internal-interactive
Requested by
Lucy Bridges
Branch
main
Force run dependencies
Yes
Git commit hash
a920f79
Requested actions
  • run_all

Code comparison

Compare the code used in this job request