Job request: 6539
- Organisation:
 - The UK Renal Registry
 - Workspace:
 - renal_sdr
 - ID:
 - gltxs4wgeonjbso7
 
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
- 
                
- Job identifier:
 - 
                    
                    
vqjr77dx56okwvvh 
 
Pipeline
Show project.yaml
version: "3.0"
expectations:
  population_size: 1000
actions:
  generate_study_population:
    run: cohortextractor:latest generate_cohort 
      --study-definition study_definition 
      --index-date-range "2019-01-01 to 2022-02-01 by month" 
      --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/input*.csv.gz
  generate_study_population_ckd:
    run: cohortextractor:latest generate_cohort 
      --study-definition study_definition_ckd
      --index-date-range "2019-01-01 to 2022-02-01 by month" 
      --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/input_ckd*.csv.gz
  generate_study_population_ethnicity:
    run: cohortextractor:latest generate_cohort 
      --study-definition study_definition_ethnicity
      --output-dir=output
      --output-format csv.gz
    outputs:
      highly_sensitive:
        cohort: output/input_ethnicity.csv.gz
  join_cohorts:
    run: >
      cohort-joiner:v0.0.9
        --lhs output/input_20*.csv.gz
        --rhs output/input_ethnicity.csv.gz
        --output-dir output/joined
    needs: [generate_study_population, generate_study_population_ethnicity]
    outputs:
      highly_sensitive:
        cohort: output/joined/input_20*.csv.gz
  
  join_cohorts_ckd:
    run: >
      cohort-joiner:v0.0.9
        --lhs output/input_ckd_20*.csv.gz
        --rhs output/input_ethnicity.csv.gz
        --output-dir output/joined
    needs: [generate_study_population_ckd, generate_study_population_ethnicity]
    outputs:
      highly_sensitive:
        cohort: output/joined/input_ckd_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
  generate_measures_ckd:
    run: cohortextractor:latest generate_measures 
      --study-definition study_definition_ckd
      --output-dir=output/joined
    needs: [join_cohorts_ckd]
    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/*_coun*.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:
        counts: output/*dist*.csv
        figures: output/*dist*.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
Timeline
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Started:
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Finished:
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Runtime: 00:59:07
 
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Code comparison
Compare the code used in this job request