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Job request: 4236

Organisation:
Bennett Institute
Workspace:
mechanical-valve-anticoag-updated
ID:
5dfl65i7p34f2brz

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:
    recent_data
    Status:
    Status: Succeeded
    Job identifier:
    k6wmhuccfq74iwv6

Pipeline

Show project.yaml
version: '3.0'

expectations:
  population_size: 15000

actions:

  generate_study_population_ethnicity:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_ethnicity --output-dir=output
    outputs:
      highly_sensitive:
        cohort: output/input_ethnicity.csv

  generate_study_population:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-09-01 to 2021-09-01 by month" --output-dir=output --skip-existing
    outputs:
      highly_sensitive:
        cohort: output/input*.csv

    
  join_ethnicity:
    run: python:latest python analysis/join_ethnicity.py
    needs: [generate_study_population, generate_study_population_ethnicity]
    outputs:
      highly_sensitive:
        cohort: output/in*.csv

  patient_count:
    run: python:latest python analysis/get_patient_count.py
    needs: [join_ethnicity]
    outputs:
      moderately_sensitive:
        csv: output/patient_count.csv
  
  


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

  generate_notebook:
    run: jupyter:latest jupyter nbconvert /workspace/analysis/notebook.ipynb --execute --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
    needs: [join_ethnicity, generate_measures]
    outputs:
      moderately_sensitive:
        notebook: output/notebook.html
        figures: output/measure_*.jpeg
        total_csv: output/doac_rate_total.csv
        csvs: output/current_doac_*.csv
  
  recent_data:
    run: python:latest python analysis/recent_data.py
    needs: [generate_notebook]
    outputs:
      moderately_sensitive:
        csv: output/doac_rate_total_recent.csv
  
  # # to be run locally
  combine:
      run: python:latest python analysis/combined_analysis.py
      outputs:
        moderately_sensitive:
          measure_csv: released_outputs/combined_rate.csv
          count: released_outputs/count.jpeg
          count_with_mean: released_outputs/count_with_mean.jpeg
          rate: released_outputs/rate.jpeg

  # # to be run locally
  generate_report_notebook:
      run: jupyter:latest jupyter nbconvert /workspace/analysis/report_notebook.ipynb --execute --to html --output-dir=/workspace/released_outputs --ExecutePreprocessor.timeout=86400 --no-input
      needs: [combine]
      outputs:
        moderately_sensitive:
          notebook: released_outputs/report_notebook.html

Timeline

  • Created:

  • Finished:

  • Runtime:

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

Job information

Status
Succeeded
Backend
EMIS
Requested by
Louis Fisher
Branch
updates
Force run dependencies
No
Git commit hash
7dc09b7
Requested actions
  • recent_data

Code comparison

Compare the code used in this Job Request