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Job request: 5213

Organisation:
PrescQIPP
Workspace:
the_effects_of_covid-19_on_doac_prescribing
ID:
j6mq7whb4n26fghw
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Rachel Seeley requested one or more actions to be run against real patient data in the project, within a secure environment.

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level various outputs were written to. Researchers can never directly view outputs marked as highly_sensitive ; 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: 10000

actions:

  generate_study_population_1:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2021-09-01 to 2021-10-01 by month" --output-dir=output --output-format=csv
    outputs:
      highly_sensitive:
        cohort: output/input*.csv

  generate_study_population_2:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2021-11-01 to 2021-12-01 by month" --output-dir=output --output-format=csv
    outputs:
      highly_sensitive:
        cohort: output/input_*.csv

  generate_dose:
    run: python:latest python analysis/calculate_dose.py
    needs: [generate_study_population_1, generate_study_population_2]
    outputs:
      highly_sensitive:
        cohort: output/inpu*.csv

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

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

  generate_measures:
    run: cohortextractor:latest generate_measures --study-definition study_definition --output-dir=output
    needs: [generate_dose]
    outputs:
        moderately_sensitive:
          measure_csv: output/measure_*.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_measures]
    outputs:
      moderately_sensitive:
        notebook: output/report.html

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 03:07:40

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

Job information

Status
Succeeded
Backend
TPP
Workspace
the_effects_of_covid-19_on_doac_prescribing
Requested by
Rachel Seeley
Branch
main
Force run dependencies
Yes
Git commit hash
7644b55
Requested actions
  • generate_measures

Code comparison

Compare the code used in this Job Request