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Job request: 12950

Organisation:
Bennett Institute
Workspace:
appointments-short-data-report
ID:
uwzgw3p3gjbyjkev
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Iain Dillingham 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: 1000

actions:
  query_distinct_values:
    run: >
      sqlrunner:latest
        --output output/distinct_values/rows.csv
        analysis/distinct_values/query.sql
    outputs:
      highly_sensitive:
        rows: output/distinct_values/rows.csv

  wrangle_distinct_values:
    needs: [query_distinct_values]
    run: >
      python:latest python -m analysis.distinct_values.wrangle
    outputs:
      moderately_sensitive:
        results: output/distinct_values/results.csv

  query_date_range:
    run: >
      sqlrunner:latest
        --output output/date_range/rows.csv
        analysis/date_range/query.sql
    outputs:
      highly_sensitive:
        rows: output/date_range/rows.csv

  wrangle_date_range:
    needs: [query_date_range]
    run: >
      python:latest python -m analysis.date_range.wrangle
    outputs:
      moderately_sensitive:
        results: output/date_range/results.csv

  query_num_rows_by_month:
    run: >
      sqlrunner:latest
        --output output/num_rows_by_month/rows.csv
        analysis/num_rows_by_month/query.sql
    outputs:
      highly_sensitive:
        rows: output/num_rows_by_month/rows.csv

  wrangle_num_rows_by_month:
    needs: [query_num_rows_by_month]
    run: >
      python:latest python -m analysis.num_rows_by_month.wrangle
    outputs:
      moderately_sensitive:
        results: output/num_rows_by_month/results.csv

  query_lead_time:
    run: >
      sqlrunner:latest
        --output output/lead_time/rows.csv
        analysis/lead_time/query.sql
    outputs:
      highly_sensitive:
        rows: output/lead_time/rows.csv

  wrangle_lead_time:
    needs: [query_lead_time]
    run: >
      python:latest python -m analysis.lead_time.wrangle
    outputs:
      moderately_sensitive:
        results: output/lead_time/results.csv

  make_html_reports:
    # --execute
    #   execute notebooks before converting them to HTML reports
    # --no-input
    #   exclude input cells and output prompts from HTML reports
    # --to=html
    #   convert notebooks to HTML reports (not e.g. to PDF reports)
    # --template basic
    #   use the basic (unstyled) template for HTML reports
    # --output-dir=output/reports
    #   write HTML reports to the `output/reports` directory
    run: >
      python:latest jupyter nbconvert
        --execute
        --no-input
        --to=html
        --template basic
        --output-dir=output/reports
        analysis/reports/*.ipynb
    needs:
      - wrangle_distinct_values
      - wrangle_date_range
      - wrangle_num_rows_by_month
    outputs:
      moderately_sensitive:
        reports: output/reports/*.html

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:06:04

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

Job request

Status
Succeeded
Backend
TPP
Workspace
appointments-short-data-report
Requested by
Iain Dillingham
Branch
main
Force run dependencies
No
Git commit hash
2c4761a
Requested actions
  • query_date_range
  • wrangle_date_range
  • make_html_reports

Code comparison

Compare the code used in this job request