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Job request: 10794

Organisation:
The UK Renal Registry
Workspace:
renal-short-data-report-tests
ID:
5joxi7gqk5tktcmv
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 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

  • Action:
    test_counts
    Status:
    Status: Succeeded
    Job identifier:
    76oh2fe2a6bchvil

Pipeline

Show project.yaml 
version: "3.0"

expectations:
  population_size: 1000

actions:

  generate_study_population_tests:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_tests
      --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/input_tests.csv.gz

  test_counts:
    run: python:latest python analysis/test_codelists.py
    needs: [generate_study_population_tests]
    outputs:
      moderately_sensitive:
        counts: output/tests*.csv

  generate_study_population:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition
      --index-date-range "2019-01-01 to 2021-01-01 by month"
      --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/input*.csv.gz

#  generate_study_population_2:
#    run: cohortextractor:latest generate_cohort 
#      --study-definition study_definition 
#      --index-date-range "2021-02-01 to 2022-05-01 by month" 
#      --output-format csv.gz
#    outputs:
#      highly_sensitive:
#        cohort: output/inpu*.csv.gz

  generate_study_population_ethnicity_ukrr:
    run: cohortextractor:latest generate_cohort 
      --study-definition study_definition_ethnicity_ukrr
      --output-dir=output
      --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/input_ethnicity_ukrr.csv.gz

  join_cohorts:
    run: >
      cohort-joiner:v0.0.9
        --lhs output/input_20*.csv.gz
        --rhs output/input_ethnicity_ukrr.csv.gz
        --output-dir output/joined
    needs: [generate_study_population, generate_study_population_ethnicity_ukrr]
    outputs:
      highly_sensitive:
        cohort: output/joined/input_20*.csv.gz


  generate_measures:
    run: cohortextractor:latest generate_measures 
      --study-definition study_definition
      --output-dir=output/joined
    needs: [join_cohorts]
    outputs:
      moderately_sensitive:
        measure_csv: output/joined/measure_*_rate.csv
        
  get_counts:
    run: python:latest python analysis/combine_operators.py
    needs: [join_cohorts]
    outputs:
      moderately_sensitive:
        counts: output/*_count.csv

  generate_plots:
    run: python:latest python analysis/plot_measures.py
    needs: [generate_measures]
    outputs:
      moderately_sensitive:
        counts: output/figures/plot_*.jpeg

  generate_plots_numeric_values:
    run: python:latest python analysis/plot_numeric_values.py
    needs: [join_cohorts]
    outputs:
      moderately_sensitive:
        figures: output/*dis*.jpeg


  # 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, get_counts]
  #   outputs:
  #     moderately_sensitive:
  #       notebook: output/report.html

  generate_ukrr_checks:
    run: r:latest -e 'rmarkdown::render("analysis/ukrr-analysis/ukrr-checks.Rmd", knit_root_dir = "/workspace", output_dir = "output/notebooks")'
    needs: [generate_study_population, generate_study_population_ethnicity_ukrr]
    outputs:
      moderately_sensitive:
        report: output/notebooks/ukrr-checks.html

  generate_ukrr_report:
    run: r:latest -e 'rmarkdown::render("analysis/ukrr-analysis/ukrr-report.Rmd", knit_root_dir = "/workspace", output_dir = "output/notebooks")'
    needs: [join_cohorts]
    outputs:
      moderately_sensitive:
        report: output/notebooks/ukrr-report.html
       
  generate_ukrr_discrepancies:
    run: r:latest -e 'rmarkdown::render("analysis/ukrr-analysis/ukrr-discrepancies.Rmd", knit_root_dir = "/workspace", output_dir = "output/notebooks")'
    needs: [join_cohorts]
    outputs:
      moderately_sensitive:
        report: output/notebooks/ukrr-discrepancies.html
  
  # generate_kidney_week:
  #   run: r:latest -e 'rmarkdown::render("analysis/ukrr-analysis/kidney_week.Rmd", knit_root_dir = "/workspace", output_dir = "output/notebooks")'
  #   needs: [join_cohorts]
  #   outputs:
  #     moderately_sensitive:
  #       report: output/notebooks/kidney_week.html
  
  generate_ukrr_tables_figures:
    run: r:latest -e 'rmarkdown::render("analysis/ukrr-analysis/ukrr-tables-figures.Rmd", knit_root_dir = "/workspace", output_dir = "output/notebooks")'
    needs: [join_cohorts]
    outputs:
      moderately_sensitive:
        report: output/notebooks/ukrr-tables-figures.html
  
 # generate_frequency_plots:
 #   run: r:latest analysis/test_frequency.R
 #   needs: [join_cohorts]
 #   outputs:
 #     moderately_sensitive:
 #       figures: output/figures/months_with_*.png

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:11:42

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

Job request

Status
Succeeded
Backend
TPP
Workspace
renal-short-data-report-tests
Requested by
Louis Fisher
Branch
updated-codelist-checks
Force run dependencies
No
Git commit hash
588b406
Requested actions
  • test_counts

Code comparison

Compare the code used in this job request