Job request: 2704

View Repo View project.yaml

This page shows the technical details of what happened when authorised researcher Louis Fisher requested one or more actions to be run against real patient data in the Mechanical Valve Anticoag 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

ID Status Action
gfdfisravbea7d3z succeeded patient_count
vehpo2xamb2somoe failed generate_measures
q35zzvulff6udj3i failed generate_notebook

Pipeline

Show Hide project.yaml
version: '3.0'

expectations:
  population_size: 15000

actions:

  generate_study_population:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2018-09-01 to 2021-05-01 by month" --output-dir=output
    outputs:
      highly_sensitive:
        cohort: output/input_*.csv
        
  generate_study_population_ethnicity:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_ethnicity --output-dir=output
    outputs:
      highly_sensitive:
        cohort: output/input_ethnicity.csv
        
  join_ethnicity:
    run: python:latest python analysis/join_ethnicity.py
    needs: [generate_study_population, generate_study_population_ethnicity]
    outputs:
      highly_sensitive:
        cohort: output/input*.csv
        
  patient_count:
    run: python:latest python analysis/get_patient_count.py
    needs: [join_ethnicity]
    outputs:
      moderately_sensitive:
        csv: output/patient_count.csv

  generate_measures:
      run: cohortextractor:latest generate_measures --study-definition study_definition --output-dir=output
      needs: [join_ethnicity]
      outputs:
        moderately_sensitive:
          measure_csv: output/measure_*_rate.csv

  generate_notebook:
    run: jupyter:latest jupyter nbconvert /workspace/analysis/notebook.ipynb --execute --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
    needs: [join_ethnicity, generate_measures]
    outputs:
      moderately_sensitive:
        notebook: output/notebook.html
        figures: output/measure_*.jpeg
        total_csv: output/doac_rate_total.csv
        csvs: output/current_doac_*.csv

State

State is inferred from the related Jobs.

Status: Failed

Timings

Timings set to UTC timezone.

  • Created:
  • Started:
  • Finished:
  • Runtime: 00:00:15

Config