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Job request: 1908

Organisation:
Bennett Institute
Workspace:
vaccine-effectiveness-hospital-admissions-validation
ID:
zwq4eaykyjvb2nrf
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Louis Fisher 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

Pipeline

Show project.yaml 
version: '3.0'

expectations:
  population_size: 10000

actions:

  generate_study_population_descriptives:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_descriptives
    outputs:
      highly_sensitive:
        cohort: output/input_descriptives.csv
  
  generate_study_population:
    run: cohortextractor:latest generate_cohort --study-definition study_definition
    outputs:
      highly_sensitive:
        cohort: output/input.csv
  
  generate_results:
    run: python:latest python analysis/generate_results.py
    needs: [generate_study_population, generate_study_population_descriptives]
    outputs:
      moderately_sensitive:
        num_patients: output/num_patients.json
        ae_attendance_count_dict: output/num_ae_attendances.json
        hosp_dict: output/emergency_hospitalisation.json
        ae_dict: output/ae.json
        any_ae_dict: output/ae_any.json
        all_ae_dict: output/ae_all.json
        discharge_csv: output/discharge_destination.csv
        performance_dict: output/model_performance.json
        sensitivity_dict: output/sensitivity.json
        model_csvs: output/model_*.csv
  
  # generate_notebook:
  #   run: jupyter:latest jupyter nbconvert /workspace/analysis/results.ipynb --execute --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
  #   needs: [generate_study_population]
  #   outputs:
  #     moderately_sensitive:
  #       notebook: output/results.html

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:25:35

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

Job information

Status
Succeeded
Backend
TPP
Workspace
vaccine-effectiveness-hospital-admissions-validation
Requested by
Louis Fisher
Branch
master
Force run dependencies
No
Git commit hash
7774713
Requested actions
  • generate_study_population_descriptives
  • generate_study_population

Code comparison

Compare the code used in this Job Request