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Job request: 1018

Organisation:
Bennett Institute
Workspace:
long-covid-descriptive
ID:
qja44zuryourfggr

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

Pipeline

Show project.yaml
version: '3.0'

expectations:
  population_size: 500

actions:

  generate_measure_cohort_1:
    # week 45 2020 to 20 2020 inclusive
    run: cohortextractor:latest generate_cohort --study-definition study_definition_measure --index-date-range "2020-11-02 to 2020-12-27 by week"
    outputs:
      highly_sensitive:
        cohort: output/input_*.csv

  generate_measure_cohort_2:
    # week 51 2020 to 03 2021 inclusive
    run: cohortextractor:latest generate_cohort --study-definition study_definition_measure --index-date-range "2020-12-28 to 2021-02-21 by week"
    outputs:
      highly_sensitive:
        cohort: output/input*.csv

  calculate_measures:
    run: cohortextractor:latest generate_measures --study-definition study_definition_measure
    needs: [generate_measure_cohort_1, generate_measure_cohort_2]
    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

  generate_cohort:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_cohort
    outputs:
      highly_sensitive:
        cohort: output/input_cohort.csv

  count_by_strata:
    run: python:latest python analysis/all_time_counts.py
    needs: [generate_cohort]
    outputs:
      moderately_sensitive:
        tables: output/counts_table*.csv
        # practice_summ: output/practice_summ.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:03:05

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

Job request

Status
Succeeded
Backend
TPP
Requested by
Alex Walker
Branch
main
Force run dependencies
No
Git commit hash
2cfcfe3
Requested actions
  • count_by_strata

Code comparison

Compare the code used in this job request