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Job request: 1921

Organisation:
Bennett Institute
Workspace:
vaccine-effectiveness-hospital-admissions-validation
ID:
x554vq7474uso3cb
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 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: 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_tree:
    run: python:latest python analysis/tree.py
    needs: [generate_study_population, generate_study_population_descriptives]
    outputs:
      moderately_sensitive:
        tree: output/tree.png
        results: output/results_df.csv
        fi: output/feature_importance.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, generate_study_population_descriptives]
    outputs:
      moderately_sensitive:
        notebook: output/results.html

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 02:34:31

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

Job information

Status
Failed
Backend
TPP
Workspace
vaccine-effectiveness-hospital-admissions-validation
Requested by
Louis Fisher
Branch
master
Force run dependencies
No
Git commit hash
f321407
Requested actions
  • generate_study_population_descriptives
  • generate_study_population
  • generate_results
  • generate_tree
  • generate_notebook

Code comparison

Compare the code used in this Job Request