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Job request: 3656

Organisation:
NHSE/I
Workspace:
carehomeprescribing
ID:
3ndcmbzyfousq3b4

This page shows the technical details of what happened when the authorised researcher Greg Eydmann 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

  • Action:
    describe
    Status:
    Status: Failed
    Job identifier:
    cz3fzj4uhtfdubvc

Pipeline

Show project.yaml
version: '3.0'

expectations:
  population_size: 10000

actions:

  generate_study_population:
    run: cohortextractor:latest generate_cohort --index-date-range "2019-10-01 to 2019-12-01 by month" --study-definition study_definition
    outputs:
      highly_sensitive:
        cohort: output/input_*.csv


  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
        

  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
  generate_measures:
      run: cohortextractor:latest generate_measures --study-definition study_definition --output-dir=output
      needs: [generate_study_population, join_ethnicity]
      outputs:
        moderately_sensitive:
          measure_csv: output/measure_*.csv
          
        
  describe:
    run: python:latest python analysis/descriptives.py
    needs: [generate_study_population, generate_measures, join_ethnicity]
    outputs:
      moderately_sensitive:
#        cohort: output/*.html
        tables: output/*.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:00:06

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

Job information

Status
Failed
Backend
TPP
Requested by
Greg Eydmann
Branch
main
Force run dependencies
No
Git commit hash
dfb5915
Requested actions
  • describe

Code comparison

Compare the code used in this Job Request