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Job request: 224

Organisation:
The London School of Hygiene & Tropical Medicine
Workspace:
households
ID:
mff3zprqffzts3nn
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Seb Bacon 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_cohort:
    run: cohortextractor:latest generate_cohort
    outputs:
      highly_sensitive:
        cohort: output/input.csv

  prepare_data:
    run: stata-mp:latest analysis/01_hh_cr_analysis_dataset.do
    needs: [generate_cohort]
    outputs:
      highly_sensitive:
        allvars: hh_analysis_datasetALLVARS.dta
        redvars: hh_analysis_datasetREDVARS.dta

  descriptive_notebook:
    run: jupyter:latest jupyter nbconvert /workspace/analysis/opensafely_eda_test_notebook.ipynb --execute --to html --output-dir=/workspace --ExecutePreprocessor.timeout=86400
    needs: [prepare_data]
    outputs:
      moderately_sensitive:
        notebook: opensafely_eda_test_notebook.html
        ages: analysis/ages.png
        hhsize: analysis/hh_sizes.png
        cases: analysis/hh_cases_*.png

  vo_test:
    run: python:latest python analysis/fit_vo.py 20
    needs: []
    outputs:
      moderately_sensitive:
        vo: vo.txt

  generate_model_data:
    run: python:latest python analysis/generate_model_data.py test_data
    needs: [prepare_data]
    outputs:
      moderately_sensitive:
        log: generate_model_data.log
        timeseries: output/case_series.pickle
        agecats: output/age_categories_series.pickle

  run_model:
    run: python:latest python analysis/opensafely_age_hh.py
    needs: [generate_model_data]
    outputs:
      moderately_sensitive:
        log: opensafely_age_hh.log

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:00:48

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

Job request

Status
Succeeded
Backend
TPP
Workspace
households
Requested by
Seb Bacon
Branch
master
Force run dependencies
No
Git commit hash
88c94ec
Requested actions
  • run_model

Code comparison

Compare the code used in this job request