Job request: 15962
- Organisation:
- Bennett Institute
- Workspace:
- opensafely-internal-interactive
- ID:
- 3lddqs44emskqnmh
This page shows the technical details of what happened when the authorised researcher Lucy Bridges 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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fngiw6hj2rrg5yh7
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- Job identifier:
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u3pwghsh3b3qesxu
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- Job identifier:
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6ucmhvnkgpkxzhhc
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- Job identifier:
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mtr3k3gma2dpxebm
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- Job identifier:
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7ruhn2huag5zsf2f
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- Job identifier:
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f2czkjpeox5z5cl6
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- Job identifier:
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jdp5abeznh7zi2jh
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- Job identifier:
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u7vr5irbnuhafsjy
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- Job identifier:
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gjrl7ks64naclqmb - Error:
- nonzero_exit: Job exited with an error
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 1000
actions:
generate_study_population_ethnicity_01GTHQD6R7954WMPPBEF89E3HV:
run: cohortextractor:latest generate_cohort
--study-definition study_definition_ethnicity
--param end_date="2023-02-22"
--output-dir output/01GTHQD6R7954WMPPBEF89E3HV --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/01GTHQD6R7954WMPPBEF89E3HV/input_ethnicity.csv.gz
generate_study_population_01GTHQD6R7954WMPPBEF89E3HV:
run: cohortextractor:latest generate_cohort
--study-definition study_definition
--param codelist_1_path="codelists/codelist_1.csv"
--param codelist_1_type="medication"
--param codelist_2_path="codelists/codelist_2.csv"
--param codelist_2_type="event"
--param codelist_1_frequency="monthly"
--param time_value="1"
--param time_scale="years"
--param time_event="before"
--param codelist_2_comparison_date="event_1_date"
--param operator="AND"
--param population="adults"
--param breakdowns="age,imd"
--index-date-range="2022-08-26 to 2023-02-22 by month"
--output-dir=output/01GTHQD6R7954WMPPBEF89E3HV
--output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/01GTHQD6R7954WMPPBEF89E3HV/input_*.csv.gz
join_cohorts_01GTHQD6R7954WMPPBEF89E3HV:
run: >
cohort-joiner:v0.0.38
--lhs output/01GTHQD6R7954WMPPBEF89E3HV/input_20*.csv.gz
--rhs output/01GTHQD6R7954WMPPBEF89E3HV/input_ethnicity.csv.gz
--output-dir output/01GTHQD6R7954WMPPBEF89E3HV/joined
needs: [generate_study_population_01GTHQD6R7954WMPPBEF89E3HV, generate_study_population_ethnicity_01GTHQD6R7954WMPPBEF89E3HV]
outputs:
highly_sensitive:
cohort: output/01GTHQD6R7954WMPPBEF89E3HV/joined/input_20*.csv.gz
generate_measures_01GTHQD6R7954WMPPBEF89E3HV:
run: >
python:latest python analysis/measures.py
--breakdowns="age,imd"
--input_dir="output/01GTHQD6R7954WMPPBEF89E3HV/joined"
--measure="med_review"
needs: [join_cohorts_01GTHQD6R7954WMPPBEF89E3HV]
outputs:
moderately_sensitive:
measure: output/01GTHQD6R7954WMPPBEF89E3HV/joined/measure*rate.csv
decile_measure: output/01GTHQD6R7954WMPPBEF89E3HV/joined/measure*rate_deciles.csv
top_5_table_01GTHQD6R7954WMPPBEF89E3HV:
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/01GTHQD6R7954WMPPBEF89E3HV"
needs: [generate_measures_01GTHQD6R7954WMPPBEF89E3HV]
outputs:
moderately_sensitive:
tables: output/01GTHQD6R7954WMPPBEF89E3HV/joined/top_5*.csv
deciles_chart_01GTHQD6R7954WMPPBEF89E3HV:
run: >
deciles-charts:v0.0.33
--input-files output/01GTHQD6R7954WMPPBEF89E3HV/joined/measure_practice_rate_deciles.csv
--output-dir output/01GTHQD6R7954WMPPBEF89E3HV/joined
config:
show_outer_percentiles: true
tables:
output: true
charts:
output: true
needs: [generate_measures_01GTHQD6R7954WMPPBEF89E3HV]
outputs:
moderately_sensitive:
deciles_charts: output/01GTHQD6R7954WMPPBEF89E3HV/joined/deciles_*.*
plot_measure_01GTHQD6R7954WMPPBEF89E3HV:
run: >
python:latest python analysis/plot_measures.py
--breakdowns="age,imd"
--output-dir output/01GTHQD6R7954WMPPBEF89E3HV
needs: [generate_measures_01GTHQD6R7954WMPPBEF89E3HV]
outputs:
moderately_sensitive:
measure: output/01GTHQD6R7954WMPPBEF89E3HV/plot_measure*.png
event_counts_01GTHQD6R7954WMPPBEF89E3HV:
run: >
python:latest python analysis/event_counts.py --input_dir="output/01GTHQD6R7954WMPPBEF89E3HV/joined" --output_dir="output/01GTHQD6R7954WMPPBEF89E3HV"
needs: [join_cohorts_01GTHQD6R7954WMPPBEF89E3HV]
outputs:
moderately_sensitive:
measure: output/01GTHQD6R7954WMPPBEF89E3HV/event_counts.json
generate_report_01GTHQD6R7954WMPPBEF89E3HV:
run: >
python:latest python analysis/render_report.py
--report-title="DMARDs & Medication Review - OpenSAFELY Service Restoration Observatory"
--population="adults"
--breakdowns="age,imd"
--codelist-1-name="DMARDs"
--codelist-2-name="Medication Review - OpenSAFELY Service Restoration Observatory"
--codelist-1-link="opensafely/dmards/2020-06-23"
--codelist-2-link="opensafely/medication-review-opensafely-service-restoration-observatory/24b50f64"
--time-value="1"
--time-scale="years"
--time-event="before"
--start-date="2022-08-26"
--end-date="2023-02-22"
--num-practices=1000
needs: [event_counts_01GTHQD6R7954WMPPBEF89E3HV, deciles_chart_01GTHQD6R7954WMPPBEF89E3HV, top_5_table_01GTHQD6R7954WMPPBEF89E3HV, plot_measure_01GTHQD6R7954WMPPBEF89E3HV]
outputs:
moderately_sensitive:
notebook: output/01GTHQD6R7954WMPPBEF89E3HV/report.html
Timeline
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Created:
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Started:
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Finished:
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Runtime: 03:25:15
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
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Failed
- Backend
- TPP
- Workspace
- opensafely-internal-interactive
- Requested by
- Lucy Bridges
- Branch
- main
- Force run dependencies
- Yes
- Git commit hash
- 7de101b
- Requested actions
-
-
run_all
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Code comparison
Compare the code used in this job request