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Job request: 24890

Organisation:
Bennett Institute
Workspace:
pifu-data-exploration
ID:
qdovbnnd525f5myj
View repo View project.yaml

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

  • Action:
    checks
    Status:
    Status: Succeeded
    Job identifier:
    73rztbkxrlikstrs

Pipeline

Show project.yaml 
version: '4.0'

actions:
  generate_dataset_explore:
    run: ehrql:v1 generate-dataset analysis/dataset_definition_explore.py --output output/dataset_explore.csv.gz
    outputs:
      highly_sensitive:
        dataset: output/dataset_explore.csv.gz

  table_explore:
    run: r:latest analysis/process/data_exploration.R
    needs: [generate_dataset_explore]
    outputs:
      moderately_sensitive:
        table1: output/processed/table_explore.csv
        #table2: output/processed/table_pfu_explore.csv
        table3: output/processed/counts_explore.csv

  generate_dataset:
    run: ehrql:v1 generate-dataset analysis/dataset_definition_everyone.py --output output/dataset_everyone.csv.gz
    outputs:
      highly_sensitive:
        dataset: output/dataset_everyone.csv.gz
  
  generate_dataset_rheum:
    run: ehrql:v1 generate-dataset analysis/dataset_definition_rheum.py --output output/dataset_rheum.csv.gz
    outputs:
      highly_sensitive:
        dataset: output/dataset_rheum.csv.gz

  measures:
    run: ehrql:v1 generate-measures analysis/measures.py --output output/measures/measures.csv
    outputs:
      moderately_sensitive:
        dataset: output/measures/measures.csv

  table:
    run: r:latest analysis/process/pop_characteristics.R
    needs: [generate_dataset, generate_dataset_rheum]
    outputs:
      moderately_sensitive:
        table1: output/processed/table.csv
        table2: output/processed/table_pfu.csv
        table3: output/processed/table_rheum.csv
        table4: output/processed/visits_stats.csv

  time_series:
    run: r:latest analysis/process/measures_process.R
    needs: [measures]
    outputs:
      moderately_sensitive:
        timeseries1: output/processed/time_series_overall.csv
        timeseries2: output/processed/time_series_specialty.csv

  checks:
    run: r:latest analysis/process/check_counts.R
    needs: [generate_dataset, generate_dataset_rheum]
    outputs:
      moderately_sensitive:
        csv: output/processed/check_counts.csv

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 00:03:27

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

Job request

Status
Succeeded
Backend
TPP
Workspace
pifu-data-exploration
Requested by
Andrea Schaffer
Branch
main
Force run dependencies
No
Git commit hash
c96cd53
Requested actions
  • checks

Code comparison

Compare the code used in this job request