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Job request: 701

Workspace:
ncs-hospital-disruption
ID:
pfvnb2lcqhvr7np2

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

Pipeline

Show project.yaml
version: '3.0'

expectations:
  population_size: 500

actions:

  generate_measure_cohort:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2016-01-04 to 2021-01-10 by week"
    outputs:
      highly_sensitive:
        cohort: output/input*.csv

  calculate_measures:
    run: cohortextractor:latest generate_measures --study-definition study_definition
    needs: [generate_measure_cohort]
    outputs:
      moderately_sensitive:
        measure: output/measure_*_rate.csv

  standardise_and_plot:
    run: python:latest python analysis/time_series_plots.py
    needs: [calculate_measures]
    outputs:
      moderately_sensitive:
        tables: output/*_rate.csv
        graph: output/time_series_plot.svg

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime:

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

Job information

Status
Failed
JobRequestError: All requested actions were already scheduled to run
Backend
TPP
Requested by
Brian
Branch
master
Force run dependencies
No
Git commit hash
20f8de3
Requested actions
  • generate_measure_cohort
  • calculate_measures
  • standardise_and_plot
  • run_all