Job request: 16057
- Organisation:
- Bennett Institute
- Workspace:
- opensafely-internal-interactive
- ID:
- fvhdqrnaltsylrpo
This page shows the technical details of what happened when the authorised researcher Brian Mackenna (Gmail) 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:
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highly_sensitive
- Researchers can never directly view these outputs
- Researchers can only request code is run against them
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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
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- Job identifier:
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siue5s4tt5y33x5j
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- Job identifier:
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5slxuhb5mj4xi4eb
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- Job identifier:
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qq5enbwb5v3bzlah
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- Job identifier:
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oeh565xiktht5pnc
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- Job identifier:
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xtup2khp7hssxlv3
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- Job identifier:
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wuv5ofvhswjnuy6r
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- Job identifier:
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uhmeyzerwig3xc5g
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- Job identifier:
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wnkxosoj45tulrsk
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- Job identifier:
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zhnohgnqwkrelt5j
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 1000
actions:
generate_study_population_ethnicity_01GTXZYD69QT48K89NT8Y96Z2H:
run: cohortextractor:latest generate_cohort
--study-definition study_definition_ethnicity
--param end_date="2023-02-22"
--output-dir output/01GTXZYD69QT48K89NT8Y96Z2H --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/01GTXZYD69QT48K89NT8Y96Z2H/input_ethnicity.csv.gz
generate_study_population_01GTXZYD69QT48K89NT8Y96Z2H:
run: cohortextractor:latest generate_cohort
--study-definition study_definition
--param codelist_1_path="codelists/codelist_1.csv"
--param codelist_1_type="event"
--param codelist_2_path="codelists/codelist_2.csv"
--param codelist_2_type="medication"
--param codelist_1_frequency="monthly"
--param time_value="3"
--param time_scale="months"
--param time_event="before"
--param codelist_2_comparison_date="event_1_date"
--param operator="AND"
--param population="all"
--param breakdowns="age"
--index-date-range="2022-08-26 to 2023-02-22 by month"
--output-dir=output/01GTXZYD69QT48K89NT8Y96Z2H
--output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/01GTXZYD69QT48K89NT8Y96Z2H/input_*.csv.gz
join_cohorts_01GTXZYD69QT48K89NT8Y96Z2H:
run: >
cohort-joiner:v0.0.38
--lhs output/01GTXZYD69QT48K89NT8Y96Z2H/input_20*.csv.gz
--rhs output/01GTXZYD69QT48K89NT8Y96Z2H/input_ethnicity.csv.gz
--output-dir output/01GTXZYD69QT48K89NT8Y96Z2H/joined
needs: [generate_study_population_01GTXZYD69QT48K89NT8Y96Z2H, generate_study_population_ethnicity_01GTXZYD69QT48K89NT8Y96Z2H]
outputs:
highly_sensitive:
cohort: output/01GTXZYD69QT48K89NT8Y96Z2H/joined/input_20*.csv.gz
generate_measures_01GTXZYD69QT48K89NT8Y96Z2H:
run: >
python:latest python analysis/measures.py
--breakdowns="age"
--input_dir="output/01GTXZYD69QT48K89NT8Y96Z2H/joined"
--measure="med_review"
needs: [join_cohorts_01GTXZYD69QT48K89NT8Y96Z2H]
outputs:
moderately_sensitive:
measure: output/01GTXZYD69QT48K89NT8Y96Z2H/joined/measure*rate.csv
decile_measure: output/01GTXZYD69QT48K89NT8Y96Z2H/joined/measure*rate_deciles.csv
top_5_table_01GTXZYD69QT48K89NT8Y96Z2H:
run: >
python:latest python analysis/top_5.py
--codelist-1-path="codelists/codelist_1.csv"
--codelist-2-path="codelists/codelist_2.csv"
--output-dir="output/01GTXZYD69QT48K89NT8Y96Z2H"
needs: [generate_measures_01GTXZYD69QT48K89NT8Y96Z2H]
outputs:
moderately_sensitive:
tables: output/01GTXZYD69QT48K89NT8Y96Z2H/joined/top_5*.csv
deciles_chart_01GTXZYD69QT48K89NT8Y96Z2H:
run: >
deciles-charts:v0.0.33
--input-files output/01GTXZYD69QT48K89NT8Y96Z2H/joined/measure_practice_rate_deciles.csv
--output-dir output/01GTXZYD69QT48K89NT8Y96Z2H/joined
config:
show_outer_percentiles: true
tables:
output: true
charts:
output: true
needs: [generate_measures_01GTXZYD69QT48K89NT8Y96Z2H]
outputs:
moderately_sensitive:
deciles_charts: output/01GTXZYD69QT48K89NT8Y96Z2H/joined/deciles_*.*
plot_measure_01GTXZYD69QT48K89NT8Y96Z2H:
run: >
python:latest python analysis/plot_measures.py
--breakdowns="age"
--output-dir output/01GTXZYD69QT48K89NT8Y96Z2H
needs: [generate_measures_01GTXZYD69QT48K89NT8Y96Z2H]
outputs:
moderately_sensitive:
measure: output/01GTXZYD69QT48K89NT8Y96Z2H/plot_measure*.png
event_counts_01GTXZYD69QT48K89NT8Y96Z2H:
run: >
python:latest python analysis/event_counts.py --input_dir="output/01GTXZYD69QT48K89NT8Y96Z2H/joined" --output_dir="output/01GTXZYD69QT48K89NT8Y96Z2H"
needs: [join_cohorts_01GTXZYD69QT48K89NT8Y96Z2H]
outputs:
moderately_sensitive:
measure: output/01GTXZYD69QT48K89NT8Y96Z2H/event_counts.json
generate_report_01GTXZYD69QT48K89NT8Y96Z2H:
run: >
python:latest python analysis/render_report.py
--report-title="Asthma Admission codes & Asthma Inhaler Salbutamol Medication"
--population="all"
--breakdowns="age"
--codelist-1-name="Asthma Admission codes"
--codelist-2-name="Asthma Inhaler Salbutamol Medication"
--codelist-1-link="primis-covid19-vacc-uptake/astadm/v.1.5.3"
--codelist-2-link="opensafely/asthma-inhaler-salbutamol-medication/2020-04-15"
--time-value="3"
--time-scale="months"
--time-event="before"
--start-date="2022-08-26"
--end-date="2023-02-22"
--num-practices=1000
--request-id="01GTXZYD69QT48K89NT8Y96Z2H"
needs: [event_counts_01GTXZYD69QT48K89NT8Y96Z2H, deciles_chart_01GTXZYD69QT48K89NT8Y96Z2H, top_5_table_01GTXZYD69QT48K89NT8Y96Z2H, plot_measure_01GTXZYD69QT48K89NT8Y96Z2H]
outputs:
moderately_sensitive:
notebook: output/01GTXZYD69QT48K89NT8Y96Z2H/report.html
Timeline
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Created:
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Started:
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Finished:
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Runtime: 04:07:12
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- opensafely-internal-interactive
- Requested by
- Brian Mackenna (Gmail)
- Branch
- main
- Force run dependencies
- Yes
- Git commit hash
- f6b6df5
- Requested actions
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run_all
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Code comparison
Compare the code used in this job request