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Job request: 20904

Organisation:
Bennett Institute
Workspace:
hepatitis_in_children
ID:
sg3sthznn7osqlsa
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

  • Action:
    subplots
    Status:
    Status: Failed
    Job identifier:
    iqpt6usopfjfjo56

Pipeline

Show project.yaml 
version: '3.0'

expectations:
  population_size: 1000

actions:

  generate_study_population_monthly_1:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2017-04-01 to 2018-04-01 by month" --output-dir=output/monthly --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/monthly/input_*.csv.gz
  
  generate_study_population_monthly_2:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2018-05-01 to 2019-04-01 by month" --output-dir=output/monthly --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/monthly/input*.csv.gz

  generate_study_population_monthly_3:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-05-01 to 2020-04-01 by month" --output-dir=output/monthly --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/monthly/inpu*.csv.gz

  generate_study_population_monthly_4:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-05-01 to 2021-04-01 by month" --output-dir=output/monthly --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/monthly/inp*.csv.gz
  
  generate_study_population_monthly_5:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2021-05-01 to 2022-03-01 by month" --output-dir=output/monthly --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/monthly/in*.csv.gz

  generate_study_population_weekly_1:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_weekly --index-date-range "2021-04-01 to 2021-09-02 by week" --output-dir=output/weekly --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/weekly/input_*.csv.gz
  
  generate_study_population_weekly_2:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_weekly --index-date-range "2021-09-09 to 2022-04-14 by week" --output-dir=output/weekly --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/weekly/input*.csv.gz
  
  generate_study_population_weekly_3:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_weekly --index-date-range "2022-04-21 to 2022-05-05 by week" --output-dir=output/weekly --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/weekly/inpu*.csv.gz

  generate_study_population_dob:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_dob --output-dir=output --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/input_dob.csv.gz

  join_cohorts_monthly:
    run: >
      cohort-joiner:v0.0.9
        --lhs output/monthly/input_20*.csv.gz
        --rhs output/input_dob.csv.gz
        --output-dir output/monthly/joined
    needs: [
      generate_study_population_monthly_1,
      generate_study_population_monthly_2,
      generate_study_population_monthly_3,
      generate_study_population_monthly_4,
      generate_study_population_monthly_5,
      generate_study_population_dob]
    outputs:
      highly_sensitive:
        cohort: output/monthly/joined/input_20*.csv.gz

  join_cohorts_weekly:
    run: >
      cohort-joiner:v0.0.9
        --lhs output/weekly/input_weekly_20*.csv.gz
        --rhs output/input_dob.csv.gz
        --output-dir output/weekly/joined
    needs: [
      generate_study_population_weekly_1,
      generate_study_population_weekly_2,
      generate_study_population_weekly_3,
      generate_study_population_dob]
    outputs:
      highly_sensitive:
        cohort: output/weekly/joined/input_weekly_20*.csv.gz

  get_age_months:
    run: >
      python:latest python analysis/get_age_months.py
    needs: [join_cohorts_monthly, join_cohorts_weekly, generate_study_population_dob]
    outputs:
      highly_sensitive:
        cohorts_monthly: output/monthly/joined/input_2*.csv.gz
        cohorts_weekly: output/weekly/joined/input_weekly*.csv.gz
  
  mean_values_by_age:
    run: >
      python:latest python analysis/mean_values.py
    needs: [get_age_months]
    outputs:
      moderately_sensitive:
        monthly: output/monthly/joined/mean_test_value_*_by_age.csv

  generate_measures:
    run: cohortextractor:latest generate_measures 
      --study-definition study_definition
      --output-dir=output/monthly/joined
    needs: [
      get_age_months
      ]
    outputs:
      moderately_sensitive:
        measure_csv_monthly: output/monthly/joined/measure_*_rate.csv

  generate_measures_weekly:
    run: cohortextractor:latest generate_measures 
      --skip-existing
      --study-definition study_definition_weekly
      --output-dir=output/weekly/joined
    needs: [get_age_months]
    outputs:
      moderately_sensitive:
        measure_csv: output/weekly/joined/measure_*_rate.csv

  generate_plots:
    run: python:latest python analysis/plots.py
    needs: [generate_measures, generate_measures_weekly, mean_values_by_age]
    outputs:
      moderately_sensitive:
        counts: output/*/joined/plot_*.png
        deciles_charts: output/*/joined/deciles_chart_*.png
        measure_csv: output/*/joined/redacted/measure_*_rate.csv
        num_practices: output/*/joined/practice_count*.json

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

  subplots:
    run: >
      python:latest python analysis/subplots.py
    needs: [generate_plots]
    outputs:
      moderately_sensitive:
        monthly: output/subplot_*.png

  project_report:
    run: jupyter:latest jupyter nbconvert /workspace/analysis/project_report.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
    needs: [subplots]
    outputs:
      moderately_sensitive:
        notebook: output/project_report.html

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:00:19

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

Job information

Status
Failed
Backend
TPP
Workspace
hepatitis_in_children
Requested by
Louis Fisher
Branch
main
Force run dependencies
No
Git commit hash
e1b1e5a
Requested actions
  • subplots

Code comparison

Compare the code used in this Job Request