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Job request: 2522

Organisation:
Workspace:
antipsychotics-prescribing-during-covid-19-master
ID:
5zmbd326vcxkr2oe

This page shows the technical details of what happened when the authorised researcher Millie Green 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:
    data_process
    Status:
    Status: Succeeded
    Job identifier:
    ixvhil3g4ha3cdzi
  • Action:
    summary_figures
    Status:
    Status: Succeeded
    Job identifier:
    nb67uv6na6mztb76

Pipeline

Show project.yaml
######################################

# This script defines the project pipeline - it specifys the execution orders for all the code in this
# repo using a series of actions.

######################################

version: '3.0'

expectations:
  population_size: 100000

actions:

  # Extract data ----
  
  ## Cohort data
  extract_data:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-01-01 to 2021-04-01 by month" --output-dir=output/data --output-format=feather
    outputs:
      highly_sensitive:
        cohort: output/data/input_*.feather
  
  ## Ethnicity      
  extract_ethnicity:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_ethnicity --output-dir=output/data --output-format=feather
    outputs:
      highly_sensitive:
        cohort: output/data/input_ethnicity.feather
        
  # ## Patient to practice lookup
  # patient_practice_lookup:
  #   run: cohortextractor:latest generate_cohort --study-definition study_definition_practice_count --output-dir=output/data --output-format=feather
  #   outputs:
  #     highly_sensitive:
  #       cohort: output/data/input_practice_count.feather
        
  
  # Data processing ----

  # ## Patient counts
  # get_patient_count:
  #   run: python:latest python analysis/get_patient_counts.py --output-dir=output/data
  #   needs: [extract_data]
  #   outputs:
  #      moderately_sensitive:
  #        text: output/data/patient_count.json
         
  # ## Practice count
  # get_practice_count:
  #   run: python:latest python analysis/get_practice_count.py --output-dir=output/data
  #   needs: [patient_practice_lookup]
  #   outputs:
  #     moderately_sensitive:
  #       text: output/data/practice_count.json
  
  ## Add ethnicity
  join_ethnicity:
    run: python:latest python analysis/join_ethnicity.py
    needs: [extract_data, extract_ethnicity]
    outputs:
      highly_sensitive:
        cohort: output/data/input*.feather
  
  ## Process data
  data_process:
    run: r:latest analysis/process_data.R
    needs: [extract_ethnicity, join_ethnicity]
    outputs:
      moderately_sensitive:
        data: output/data/data_*.rds
        tables: output/data/custom_measures_*.csv
        
  # ## Generate measures
  # generate_measures:
  #     run: cohortextractor:latest generate_measures --study-definition study_definition --output-dir=output/data
  #     needs: [join_ethnicity]
  #     outputs:
  #       moderately_sensitive:
  #         measure_csv: output/data/measure_*.csv
  
  # ### Generate measures, by group
  # generate_measures_demographics:
  #   run: python:latest python analysis/calculate_measures.py
  #   needs: [join_ethnicity]
  #   outputs:
  #     moderately_sensitive:
  #       measure: output/combined_measure_*.csv
  # 
  #   ### Generate measures, by group and demographic
  # generate_measures_demographics:
  #   run: python:latest python analysis/calculate_measures.py
  #   needs: [join_ethnicity]
  #   outputs:
  #     moderately_sensitive:
  #       measure: output/combined_measure_*.csv
  
  

  # Results ----
  
  ## Figures
  summary_figures:
    run: r:latest analysis/summary_plots.R
    needs: [data_process]
    outputs:
      moderately_sensitive:
        plots: output/figures/plot_*.svg
  
  summary_figures_redacted:
    run: r:latest analysis/summary_plots_redacted.R
    needs: [data_process]
    outputs:
      moderately_sensitive:
        plots: output/figures/plot*.svg
  
  # ## Whole population notebook
  # generate_notebook:
  #   run: jupyter:latest jupyter nbconvert /workspace/notebooks/antipsychotic_measures.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
  #   needs: [generate_measures, get_practice_count, get_patient_count]
  #   outputs:
  #     moderately_sensitive:
  #       notebook: output/antipsychotic_measures.html

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 03:21:26

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

Job request

Status
Succeeded
Backend
TPP
Requested by
Millie Green
Branch
master
Force run dependencies
No
Git commit hash
b10d8d8
Requested actions
  • data_process
  • summary_figures

Code comparison

Compare the code used in this job request