Job request: 23944
- Organisation:
- Bennett Institute
- Workspace:
- wp-work-package-1
- ID:
- ki4rwk3kom6ii7so
This page shows the technical details of what happened when the authorised researcher Jaidip Gill 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
-
- Job identifier:
-
tw6usdr5yxsvm4xn
Pipeline
Show project.yaml
version: "3.0"
expectations:
population_size: 1000
actions:
generate_patient_measures:
run: ehrql:v1 generate-measures --output output/patient_measures/patient_measures.csv.gz analysis/wp_patient_measures_def.py
outputs:
highly_sensitive:
dataset: output/patient_measures/patient_measures.csv.gz
generate_practice_measures_drop_measures:
run: ehrql:v1 generate-measures --output output/practice_measures/practice_measures_drop_measures.csv.gz analysis/wp_practice_measures_def.py -- --drop_measures
outputs:
highly_sensitive:
dataset: output/practice_measures/practice_measures_drop_measures.csv.gz
generate_practice_measures:
run: ehrql:v1 generate-measures --output output/practice_measures/practice_measures.csv.gz analysis/wp_practice_measures_def.py
outputs:
highly_sensitive:
dataset: output/practice_measures/practice_measures.csv.gz
# generate_app_measures:
# run: ehrql:v1 generate-measures --output output/appointments/app_measures.csv analysis/appointments/app_measures.py
# outputs:
# moderately_sensitive:
# dataset: output/appointments/app_measures.csv
# generate_app_viz:
# run: r:latest analysis/appointments/app_viz.r
# needs: [generate_app_measures]
# outputs:
# moderately_sensitive:
# app_figures: output/appointments/*.png
# generate_app_summary:
# run: python:latest analysis/appointments/app_summary.py
# needs: [generate_app_measures]
# outputs:
# moderately_sensitive:
# app_table: output/appointments/app_summary.csv
# generate_pre_processing:
# run: python:latest analysis/pre_processing.py
# --output output/practice_measures/processed_practice_measures.csv.gz
# --output output/patient_measures/processed_patient_measures.csv.gz
# --output output/patient_measures/frequency_table.csv
# needs: [generate_patient_measures, generate_practice_measures]
# outputs:
# highly_sensitive:
# practice_measure: output/practice_measures/processed_practice_measures.csv.gz
# patient_measure: output/patient_measures/processed_patient_measures.csv.gz
# moderately_sensitive:
# frequency_table: output/patient_measures/frequency_table.csv
# generate_measures_viz:
# run: r:latest analysis/viz_measures.r
# needs: [generate_pre_processing]
# outputs:
# moderately_sensitive:
# app_figures: output/*/*.png
# total_measures: output/total_measures/*.csv
# generate_test_data:
# run: ehrql:v1 generate-dataset analysis/dataset.py --output output/patient_measures/test.csv --test-data-file analysis/test_dataset.py
# outputs:
# highly_sensitive:
# dataset: output/patient_measures/test.csv
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 00:13:19
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- wp-work-package-1
- Requested by
- Jaidip Gill
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- c4875ce
- Requested actions
-
-
generate_practice_measures_drop_measures
-
Code comparison
Compare the code used in this Job Request