Job request: 14823
- Organisation:
 - Bennett Institute
 - Workspace:
 - winter-pressures
 - ID:
 - r5uwxvg7wxwerygp
 
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
- 
                
- Job identifier:
 - 
                    
                    
ospmgfvt4iw6azo2 
 
Pipeline
Show project.yaml
version: "3.0"
expectations:
  population_size: 5000
actions:
  # Other data
  # ----------
  # Add actions for other data to this section. Prefix them with a suitable name; place
  # scripts in a similarly named sub-directory of the analysis directory; write outputs
  # to a similarly named sub-directory of the output directory.
  #
  # For example, let's call our other data "metrics". We would prefix our actions
  # "metrics_"; we would place our scripts in analysis/metrics; we would write outputs
  # to output/metrics.
  # Appointments data
  # -----------------
  appointments_generate_dataset_sql:
    run: >
      sqlrunner:latest
        analysis/appointments/dataset_query.sql
        --output output/appointments/dataset_long.csv
        --dummy-data-file analysis/appointments/dummy_dataset_long.csv
    outputs:
      highly_sensitive:
        dataset: output/appointments/dataset_long.csv
  # appointments_generate_dataset:
  #   run: >
  #     databuilder:v0
  #       generate-dataset
  #       analysis/appointments/dataset_definition.py
  #       --output output/appointments/dataset_wide.arrow
  #   outputs:
  #     highly_sensitive:
  #       dataset: output/appointments/dataset_wide.arrow
  # appointments_get_freq_na_values:
  #   run: >
  #     python:latest
  #       python
  #       -m analysis.appointments.get_freq_na_values
  #   needs: [appointments_generate_dataset]
  #   outputs:
  #     moderately_sensitive:
  #       dataset: output/appointments/freq_na_values.csv
  # appointments_reshape_dataset:
  #   run: >
  #     python:latest
  #       python
  #       -m analysis.appointments.reshape_dataset
  #   needs: [appointments_generate_dataset]
  #   outputs:
  #     highly_sensitive:
  #       dataset: output/appointments/dataset_long.arrow
  # appointments_generate_measure:
  #   run: >
  #     python:latest
  #       python
  #       -m analysis.appointments.generate_measure
  #   needs: [appointments_reshape_dataset]
  #   outputs:
  #     moderately_sensitive:
  #       measure: output/appointments/measure_median_lead_time_in_days_by_nunique_patient_id.csv
  # appointments_generate_deciles_charts:
  #   run: >
  #     deciles-charts:v0.0.33
  #       --input-files output/appointments/measure_*.csv
  #       --output-dir output/appointments
  #   config:
  #     show_outer_percentiles: true
  #   needs: [appointments_generate_measure]
  #   outputs:
  #     moderately_sensitive:
  #       deciles_charts: output/appointments/deciles_chart_*.png
  #       deciles_tables: output/appointments/deciles_table_*.csv
Timeline
- 
  
    
  
  
Created:
 - 
  
    
  
  
Started:
 - 
  
    
  
  
Finished:
 - 
  
  
Runtime: 01:53:52
 
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
 - 
            Succeeded
 - Backend
 - TPP
 - Workspace
 - winter-pressures
 - Requested by
 - Iain Dillingham
 - Branch
 - main
 - Force run dependencies
 - Yes
 - Git commit hash
 - 88f76f8
 - Requested actions
 - 
            
- 
                  
run_all 
 - 
                  
 
Code comparison
Compare the code used in this job request