Job request: 3846
- Organisation:
 - Bennett Institute
 - Workspace:
 - antimicrobial-stewardship
 - ID:
 - osnc62axvvjb7ghc
 
This page shows the technical details of what happened when the authorised researcher Jon Massey 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.
 
 
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: 3000
actions:
  # Extract data ----
  # generate_study_population:
  #   run: cohortextractor:latest generate_cohort --study-definition study_definition --skip-existing --output-dir=output --output-format=csv.gz
  #   outputs:
  #     highly_sensitive:
  #       cohort: output/input*.csv.gz
  generate_measure_population:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-09-01 to today by month" --skip-existing --output-dir=output/measures --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/measures/input*.csv.gz
  calculate_measures:
    run: python:latest python analysis/calculate_measures.py
    needs: [generate_measure_population]
    outputs:
      highly_sensitive:
        measures: output/measures/measure_*.csv.gz
      moderately_sensitive:
        pivot_stats: output/measures/pivotstats_*.csv
  plot_measure_deciles:
    run: python:latest python analysis/plot_deciles.py
    needs: [calculate_measures]
    outputs:
      moderately_sensitive:
        figures: output/figures/*.png
Timeline
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Created:
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Started:
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Finished:
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Runtime:
 
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
 - 
            Failed
JobRequestError: calculate_measures failed on a previous run and must be re-run
 - Backend
 - TPP
 - Workspace
 - antimicrobial-stewardship
 - Requested by
 - Jon Massey
 - Branch
 - master
 - Force run dependencies
 - No
 - Git commit hash
 - e60102b
 - Requested actions
 - 
            
- 
                  
run_all 
 - 
                  
 
Code comparison
Compare the code used in this job request