Job request: 3735
- Organisation:
- Bennett Institute
- Workspace:
- pincer-measures
- ID:
- olpl55oryd73unb7
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 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:
-
ggksggwzkxgvub5i
-
- Job identifier:
-
l72w75wqpgi5tpas
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 2020-12-01 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 "2021-01-01 to 2021-07-01 by month" --output-format feather
outputs:
highly_sensitive:
cohort: output/inpu*.feather
check_EGFR:
run: python:latest python analysis/check_EGFR.py
needs: [join_ethnicity_region]
outputs:
moderately_sensitive:
counts: output/egfr_tabulation.csv
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
generate_study_population_lithium:
run: cohortextractor:latest generate_cohort --study-definition study_definition_lithium --index-date-range "2019-09-01 to 2021-07-01 by month" --output-format feather
outputs:
highly_sensitive:
cohort: output/input_lithium_*.feather
calculate_numerators:
run: python:latest python analysis/calculate_numerators.py
needs: [join_ethnicity_region]
outputs:
highly_sensitive:
cohort: output/indicator_e_f_*.feather
calculate_composite_indicators:
run: python:latest python analysis/composite_indicators.py
needs: [calculate_numerators, join_ethnicity_region]
outputs:
moderately_sensitive:
counts: output/*_composite_measure.csv
generate_measures:
run: cohortextractor:latest generate_measures --study-definition study_definition --output-dir=output
needs: [join_ethnicity_region]
outputs:
moderately_sensitive:
measure_csv: output/measure_*_rate.csv
check_asthma:
run: python:latest python analysis/check_asthma.py
needs: [generate_measures]
outputs:
moderately_sensitive:
csv: output/asthma_sum.csv
generate_measures_demographics:
run: python:latest python analysis/calculate_measures.py
needs: [calculate_numerators, join_ethnicity_region, generate_study_population_lithium]
outputs:
moderately_sensitive:
counts: output/indicator_measure_*.csv
measure_csv: output/measure*_rate.csv
generate_plots:
run: python:latest python analysis/plot_measures.py
needs: [generate_measures, generate_measures_demographics, calculate_composite_indicators]
outputs:
moderately_sensitive:
counts: output/plot_*.jpeg
quintile: output/quintile_10.csv
cusum:
run: python:latest python analysis/cusum.py
needs: [generate_measures, generate_measures_demographics]
outputs:
moderately_sensitive:
cusum: output/cusum_results.json
plot_cusum:
run: python:latest python analysis/plot_cusum.py
needs: [cusum, generate_measures, generate_measures_demographics]
outputs:
moderately_sensitive:
cusum: output/cusum_indicator_*.jpeg
alert: output/alerts_indicator_*.jpeg
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]
outputs:
moderately_sensitive:
notebook: output/report.html
run_tests:
run: python:latest python -m pytest --junit-xml=output/pytest.xml --verbose
outputs:
moderately_sensitive:
log: output/pytest.xml
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 01:53:56
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Failed
- Backend
- TPP
- Workspace
- pincer-measures
- Requested by
- Louis Fisher
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 3d9ded2
- Requested actions
-
-
check_EGFR
-
generate_plots
-
Code comparison
Compare the code used in this Job Request