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Job request: 2371

Organisation:
Bennett Institute
Workspace:
ncs-hospital-disruption
ID:
orl672dk7gycqinh

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_cohort_imd_ethnicity:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_imd_ethnicity
    outputs:
      highly_sensitive:
        cohort: output/input_imd_ethnicity.csv
  
  generate_test_cohort:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_check
    outputs:
      highly_sensitive:
        cohort: output/input_check.csv

  generate_cohort_1:
    # week 1 2019 to 21 2019 inclusive
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2018-12-31 to 2019-05-26 by week"
    outputs:
      highly_sensitive:
        cohort: output/input_*.csv

  generate_cohort_2:
    # week 22 2019 to 42 2019 inclusive
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-05-27 to 2019-10-20 by week"
    outputs:
      highly_sensitive:
        cohort: output/input*.csv

  generate_cohort_3:
    # week  43 2019 to 11 2020 inclusive
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-10-21 to 2020-03-15 by week"
    outputs:
      highly_sensitive:
        cohort: output/inpu*.csv

  generate_cohort_4:
    # week 12 2020 to 32 2020 inclusive
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-03-16 to 2020-08-09 by week"
    outputs:
      highly_sensitive:
        cohort: output/inp*.csv

  generate_cohort_5:
    # week 33 2020 to week 53 2020 inclusive
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-08-10 to 2021-01-03 by week"
    outputs:
      highly_sensitive:
        cohort: output/in*.csv

  join_ethnicity_imd:
    run: python:latest python analysis/join_ethnicity_imd.py
    needs: [generate_cohort_1, generate_cohort_2, generate_cohort_3, generate_cohort_4, generate_cohort_5, generate_cohort_imd_ethnicity]
    outputs:
      highly_sensitive:
        cohort: output/i*.csv
   
  calculate_measures:
    run: cohortextractor:latest generate_measures --study-definition study_definition
    needs: [join_ethnicity_imd]
    outputs:
      moderately_sensitive:
        measure: output/measure_*_rate.csv
        
  calculate_measures_demographics:
    run: python:latest python analysis/generate_measures_demographics.py
    needs: [join_ethnicity_imd]
    outputs:
      moderately_sensitive:
        csvs: output/measure_*_rate_*.csv
        

  standardise_and_plot:
    run: python:latest python analysis/time_series_plots.py
    needs: [calculate_measures]
    outputs:
      moderately_sensitive:
        tables: output/*_rate.csv
        graph: output/time_series_plot.svg

  standardise_and_plot_demographics:
    run: python:latest python analysis/time_series_plots_demographics.py
    needs: [calculate_measures, calculate_measures_demographics]
    outputs:
      moderately_sensitive:
        tables: output/*_rate_*_breakdown.csv
        tables_combined: output/combined_disease_breakdown_*.csv
        graph: output/time_series_plot_*.svg
        combined_graph: output/combined_diseases_time_series.svg

  generate_notebook:
    run: jupyter:latest jupyter nbconvert /workspace/analysis/investigate_discrepancies.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
    needs: [join_ethnicity_imd]
    outputs:
      moderately_sensitive:
        notebook: output/investigate_discrepancies.html
        
  generate_notebook_admission_method:
    run: jupyter:latest jupyter nbconvert /workspace/analysis/investigate_admission_method.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
    needs: [generate_test_cohort]
    outputs:
      moderately_sensitive:
        notebook: output/investigate_admission_method.html

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:00:04

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

Job information

Status
Failed
Backend
TPP
Requested by
Louis Fisher
Branch
master
Force run dependencies
No
Git commit hash
aea31bd
Requested actions
  • standardise_and_plot

Code comparison

Compare the code used in this Job Request