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Job request: 5029

Organisation:
Bennett Institute
Workspace:
primary-care-covid-codes-research
ID:
qbzjtgogpgobrzzo

This page shows the technical details of what happened when authorised researcher Colm Andrews 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

  • Action:
    notebook_md
    Status:
    Status: Succeeded
    Job identifier:
    eqy3wck4pslitobr

Pipeline

Show project.yaml
version: '3.0'

expectations:
  population_size: 10000

actions:

  generate_cohort:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --output-format feather
    outputs:
      highly_sensitive:
        cohort: output/input.feather

  generate_report:
    run: cohort-report:v3.0.0 output/input.feather
    needs: [generate_cohort]
    config:
      output_path: output/cohort_reports_outputs
    outputs:
      moderately_sensitive:
        reports: output/cohort_reports_outputs/descriptives_input.html
        reports_charts: output/cohort_reports_outputs/*.png

  counts:
    run: python:latest python analysis/counts.py
    needs: [generate_cohort]
    outputs:
      moderately_sensitive: 
        tabdata: output/tabledata.csv
        cohort_2: output/codecounts_week.csv
        
  freq_plots:
    run: python:latest python analysis/freq_plot.py
    needs: [counts]
    outputs:
      moderately_sensitive:  
        plots: output/plots.svg
#        figs: output/figs.svg

  km_plots:
    run: python:latest python analysis/km_plot.py
    needs: [generate_cohort]
    outputs:
      moderately_sensitive:  
        figs: output/figs.svg

  notebook_md:
    run: jupyter:latest jupyter nbconvert /workspace/notebooks/primary-care-covid-codes.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
    needs: [generate_cohort,km_plots,counts]
    outputs:
      moderately_sensitive:
        md: output/primary-care-covid-codes.html

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:01:49

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

Job information

Status
Succeeded
Backend
TPP
Requested by
Colm Andrews
Branch
master
Force run dependencies
No
Git commit hash
d34d6a3
Requested actions
  • notebook_md

Code comparison

Compare the code used in this Job Request