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Job request: 13479

Organisation:
The London School of Hygiene & Tropical Medicine
Workspace:
cis-pop-validation-ehrql-dev
ID:
ooxez54jgcauxo2o

This page shows the technical details of what happened when the authorised researcher Milan Wiedemann 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
version: '3.0'

expectations:
  population_size: 1000

actions:

  generate_dataset_cohortextractor:
    run: >
      cohortextractor:latest generate_cohort 
        --study-definition study_definition
        --index-date-range '2022-09-25 to 2022-09-25 by week' 
        --output-dir 'output'
        --output-file "output/dataset_cohortextractor.csv"
        --output-format csv
    outputs:
      highly_sensitive:
        cohort: output/dataset_cohortextractor_2022-09-25.csv

  generate_dataset_ehrql:
    run: >
      databuilder:v0
        generate-dataset analysis/dataset_definition.py 
        --output output/dataset_ehrql_2022-09-25.csv
        --dummy-tables dummy_data
    outputs:
      highly_sensitive:
        cohort: output/dataset_ehrql_2022-09-25.csv
 
  # calculate_dataset_diff:
  #   run: >
  #     r:latest analysis/dataset_diff.R
  #   needs:
  #     - generate_dataset_cohortextractor
  #     - generate_dataset_ehrql
  #   outputs:
  #     moderately_sensitive:
  #       cohort: output/diff/dataset_diff_summary.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime:

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

Job request

Status
Failed
JobRequestError: Internal error
Backend
TPP
Requested by
Milan Wiedemann
Branch
dev
Force run dependencies
No
Git commit hash
7b64962
Requested actions
  • generate_dataset_ehrql

Code comparison

Compare the code used in this job request