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Job request: 4397

Organisation:
Bennett Institute
Workspace:
pincer-measures
ID:
kw2bvmhef2o2rfi3

This page shows the technical details of what happened when authorised researcher Lisa Hopcroft 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

Pipeline

Show project.yaml
version: '3.0'

expectations:
  population_size: 1000

actions:


  generate_study_population_1:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-09-01 to 2020-05-01 by month" --output-format feather
    outputs:
      highly_sensitive:
        cohort: output/input_*.feather

  generate_study_population_2:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-06-01 to 2021-02-01 by month" --output-format feather
    outputs:
      highly_sensitive:
        cohort: output/input*.feather

  generate_study_population_3:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2021-03-01 to 2021-09-01 by month" --output-format feather
    outputs:
      highly_sensitive:
        cohort: output/inpu*.feather

  generate_study_population_ethnicity:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_ethnicity --output-format feather
    outputs:
      highly_sensitive:
        cohort: output/input_ethnicity.feather
 
  join_ethnicity_region:
    run: python:latest python analysis/join_ethnicity_region.py
    needs: [generate_study_population_1, generate_study_population_2, generate_study_population_3, generate_study_population_ethnicity]
    outputs:
      highly_sensitive:
        cohort: output/inp*.feather
          
  filter_population:
    run: python:latest python analysis/filter_population.py
    needs: [join_ethnicity_region]
    outputs:
      highly_sensitive:
        cohort: output/input_filtered_*.feather

  calculate_numerators:
    run: python:latest python analysis/calculate_numerators.py
    needs: [filter_population]
    outputs:
      highly_sensitive:
        cohort: output/indicator_e_f_*.feather

  calculate_composite_indicators:
    run: python:latest python analysis/composite_indicators.py
    needs: [calculate_numerators, filter_population]
    outputs:
      moderately_sensitive:
        counts: output/*_composite_measure.csv

  generate_measures:
    run: cohortextractor:latest generate_measures --study-definition study_definition --output-dir=output
    needs: [filter_population]
    outputs:
        moderately_sensitive:
          measure_csv: output/measure_*_rate.csv

  
  generate_measures_demographics:
    run: python:latest python analysis/calculate_measures.py
    needs: [calculate_numerators, filter_population]
    outputs:
      moderately_sensitive:
        counts: output/indicator_measure_*.csv
        measure_csv: output/measure*_rate.csv
        demographics: output/demographics_summary_*.csv
        

  generate_summary_counts:
    run: python:latest python analysis/summary_statistics.py
    needs: [filter_population, generate_measures, generate_measures_demographics, calculate_numerators]
    outputs:
      moderately_sensitive:
        patient_count: output/patient_count_*.json
        practice_count: output/practice_count_*.json
        summary: output/indicator_summary_statistics_*.json
  
  generate_plots:
    run: python:latest python analysis/plot_measures.py
    needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
    outputs:
      moderately_sensitive:
        counts: output/figures/plot_*.jpeg
        combined: output/figures/combined_plot_*.png
        demographics: output/demographic_aggregates.csv
  
  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, generate_summary_counts]
    outputs:
      moderately_sensitive:
        notebook: output/report.html

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

  plot_Q1_comparisons:
    run: r:latest analysis/generate_demographic_slope_plot.R
    needs: [generate_plots]
    outputs:
      moderately_sensitive:
        plots: output/figures/SLOPE_*.png

  run_tests:
    run: python:latest python -m pytest --junit-xml=output/pytest.xml --verbose
    outputs:
      moderately_sensitive:
        log: output/pytest.xml


  test_population:
    run: python:latest python analysis/test_population.py
    needs: [filter_population]
    outputs:
      moderately_sensitive:
        counts: output/population_counts.csv
        count: output/patient_count_check.json

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:00:23

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

Job information

Status
Succeeded
Backend
TPP
Workspace
pincer-measures
Requested by
Lisa Hopcroft
Branch
main
Force run dependencies
No
Git commit hash
cb28e42
Requested actions
  • plot_Q1_comparisons

Code comparison

Compare the code used in this Job Request