Job request: 4399
- Organisation:
- Bennett Institute
- Workspace:
- pincer-measures
- ID:
- o4h4s5buqfnc5yvb
This page shows the technical details of what happened when the authorised researcher Louis Fisher 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:
-
fgnfkfk5munkwblu
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 1000
actions:
generate_study_population_1:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-09-01 to 2020-05-01 by month" --output-format feather
outputs:
highly_sensitive:
cohort: output/input_*.feather
generate_study_population_2:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-06-01 to 2021-02-01 by month" --output-format feather
outputs:
highly_sensitive:
cohort: output/input*.feather
generate_study_population_3:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2021-03-01 to 2021-09-01 by month" --output-format feather
outputs:
highly_sensitive:
cohort: output/inpu*.feather
generate_study_population_ethnicity:
run: cohortextractor:latest generate_cohort --study-definition study_definition_ethnicity --output-format feather
outputs:
highly_sensitive:
cohort: output/input_ethnicity.feather
join_ethnicity_region:
run: python:latest python analysis/join_ethnicity_region.py
needs: [generate_study_population_1, generate_study_population_2, generate_study_population_3, generate_study_population_ethnicity]
outputs:
highly_sensitive:
cohort: output/inp*.feather
filter_population:
run: python:latest python analysis/filter_population.py
needs: [join_ethnicity_region]
outputs:
highly_sensitive:
cohort: output/input_filtered_*.feather
calculate_numerators:
run: python:latest python analysis/calculate_numerators.py
needs: [filter_population]
outputs:
highly_sensitive:
cohort: output/indicator_e_f_*.feather
calculate_composite_indicators:
run: python:latest python analysis/composite_indicators.py
needs: [calculate_numerators, filter_population]
outputs:
moderately_sensitive:
counts: output/*_composite_measure.csv
generate_measures:
run: cohortextractor:latest generate_measures --study-definition study_definition --output-dir=output
needs: [filter_population]
outputs:
moderately_sensitive:
measure_csv: output/measure_*_rate.csv
generate_measures_demographics:
run: python:latest python analysis/calculate_measures.py
needs: [calculate_numerators, filter_population]
outputs:
moderately_sensitive:
counts: output/indicator_measure_*.csv
measure_csv: output/measure*_rate.csv
demographics: output/demographics_summary_*.csv
generate_summary_counts:
run: python:latest python analysis/summary_statistics.py
needs: [filter_population, generate_measures, generate_measures_demographics, calculate_numerators]
outputs:
moderately_sensitive:
patient_count: output/patient_count_*.json
practice_count: output/practice_count_*.json
summary: output/indicator_summary_statistics_*.json
generate_plots:
run: python:latest python analysis/plot_measures.py
needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
outputs:
moderately_sensitive:
counts: output/figures/plot_*.jpeg
combined: output/figures/combined_plot_*.png
demographics: output/demographic_aggregates.csv
medians: output/medians.json
generate_notebook:
run: jupyter:latest jupyter nbconvert /workspace/analysis/report.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
needs: [generate_plots, generate_summary_counts]
outputs:
moderately_sensitive:
notebook: output/report.html
generate_dem_notebook:
run: jupyter:latest jupyter nbconvert /workspace/analysis/demographic_report.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
needs: [generate_plots]
outputs:
moderately_sensitive:
notebook: output/demographic_report.html
plot_Q1_comparisons:
run: r:latest analysis/generate_demographic_slope_plot.R
needs: [generate_plots]
outputs:
moderately_sensitive:
plots: output/figures/SLOPE_*.png
run_tests:
run: python:latest python -m pytest --junit-xml=output/pytest.xml --verbose
outputs:
moderately_sensitive:
log: output/pytest.xml
test_population:
run: python:latest python analysis/test_population.py
needs: [filter_population]
outputs:
moderately_sensitive:
counts: output/population_counts.csv
count: output/patient_count_check.json
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 00:00:22
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- pincer-measures
- Requested by
- Louis Fisher
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 3f998b4
- Requested actions
-
-
generate_notebook
-
Code comparison
Compare the code used in this job request