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Job request: 7800

Organisation:
Bennett Institute
Workspace:
bmi-short-data-report
ID:
norflkfujlvkv66m
View repo View project.yaml

This page shows the technical details of what happened when the authorised researcher Robin Park requested one or more actions to be run against real patient data in the project, within a secure environment.

By cross-referencing the list of jobs with the pipeline section below, you can infer what security level various outputs were written to. Researchers can never directly view outputs marked as highly_sensitive ; 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: 1000

actions:

  generate_event_counts:
    run: cohortextractor:latest generate_cohort --study-definition study_definition_eventcounts --output-dir=output/data --output-format feather
    outputs:
      highly_sensitive:
        cohort: output/data/input_eventcounts.feather

  generate_study_population:
    run: cohortextractor:latest generate_cohort --study-definition study_definition --output-dir=output/data --output-format feather
    outputs:
      highly_sensitive:
        cohort: output/data/input.feather

  preprocess_inputs:
    run: python:latest python analysis/preprocess_inputs.py --output-format feather
    needs: [generate_study_population]
    outputs:
      highly_sensitive:
        cohort_with_duration: output/data/input_processed.feather

  execute_validation_analyses:
    run: python:latest python analysis/validation_script.py
    needs: [preprocess_inputs]
    outputs:
      moderately_sensitive: 
        tables: output/phenotype_validation_bmi/tables/*.csv
        figures: output/phenotype_validation_bmi/figures/*.png
        
  generate_report_bmi:
    run: python:latest jupyter nbconvert /workspace/notebooks/report_bmi.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
    needs: [execute_validation_analyses]
    outputs:
      moderately_sensitive:
        notebook: output/report_bmi.html
        
  execute_validation_analyses_height:
    run: python:latest python analysis/validation_script_height.py
    needs: [preprocess_inputs]
    outputs:
      moderately_sensitive: 
        tables: output/phenotype_validation_height/tables/*.csv
        figures: output/phenotype_validation_height/figures/*.png
        
  generate_report_height:
    run: python:latest jupyter nbconvert /workspace/notebooks/report_height.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
    needs: [execute_validation_analyses_height]
    outputs:
      moderately_sensitive:
        notebook: output/report_height.html
        
  execute_validation_analyses_weight:
    run: python:latest python analysis/validation_script_weight.py
    needs: [preprocess_inputs]
    outputs:
      moderately_sensitive: 
        tables: output/phenotype_validation_weight/tables/*.csv
        figures: output/phenotype_validation_weight/figures/*.png
        
  generate_report_weight:
    run: python:latest jupyter nbconvert /workspace/notebooks/report_weight.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
    needs: [execute_validation_analyses_weight]
    outputs:
      moderately_sensitive:
        notebook: output/report_weight.html
        
  generate_histograms:
    run: python:latest python analysis/validation_histograms.py
    needs: [preprocess_inputs]
    outputs:
      moderately_sensitive: 
        tables1: output/histograms/tables/hist*.csv
        tables2: output/histograms/tables/ct*.csv
        figures1: output/histograms/figures/hist*.png
        figures2: output/histograms/figures/cdf*.png
 
  execute_validation_recency:
    run: python:latest python analysis/validation_recency.py
    needs: [preprocess_inputs]
    outputs:
      moderately_sensitive: 
        tables: output/histograms/tables/*.csv
        figures: output/histograms/figures/*.png
  
  generate_report_eventcounts:
    run: python:latest jupyter nbconvert /workspace/notebooks/report_event_counts.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
    needs: [generate_event_counts]
    outputs:
      moderately_sensitive:
        notebook: output/report_event_counts.html

  generate_dataset_report:
    run: >
      dataset-report:v0.0.3
        --input-files output/data/input.feather
        --output-dir output/data
    needs: [generate_study_population]
    outputs:
      moderately_sensitive:
        dataset_report: output/data/input.md

Timeline

  • Created:

  • Started:

  • Finished:

  • Runtime: 01:53:18

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

Job information

Status
Failed
Backend
TPP
Workspace
bmi-short-data-report
Requested by
Robin Park
Branch
main
Force run dependencies
No
Git commit hash
922f768
Requested actions
  • generate_histograms

Code comparison

Compare the code used in this Job Request