Job request: 7559
- Organisation:
- Bennett Institute
- Workspace:
- test-interactive
- ID:
- 6nom2b2bvkajkv2h
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:
-
5gbyuk2suqnwqljn
-
- Job identifier:
-
xlr6mrxkngctlnjz
-
- Job identifier:
-
56jnyodjpvmyyg7q
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 1000
actions:
generate_study_population:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition
--output-format=feather
outputs:
highly_sensitive:
cohort: output/input.feather
generate_study_population_monthly:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_monthly
--output-format=feather
--index-date-range "2021-01-01 to 2021-12-01 by month"
outputs:
highly_sensitive:
cohort: output/input_monthly_*.feather
generate_study_population_weekly:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_weekly
--output-format=feather
--index-date-range "2021-01-01 to 2021-12-24 by week"
outputs:
highly_sensitive:
cohort: output/input_weekly_*.feather
generate_weekly_summary_table:
run: python:latest python analysis/weekly_summary.py
needs: [generate_study_population_weekly]
outputs:
moderately_sensitive:
table: output/weekly_count.csv
generate_study_counts_bp:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_counts_bp
--output-format=feather
outputs:
highly_sensitive:
cohort: output/input_counts_bp.feather
generate_study_counts_eth:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_counts_eth
--output-format=feather
outputs:
highly_sensitive:
cohort: output/input_counts_eth.feather
generate_study_counts_aaa:
run: >
cohortextractor:latest generate_cohort
--study-definition study_definition_counts_aaa
--output-format=feather
outputs:
highly_sensitive:
cohort: output/input_counts_aaa.feather
generate_top_5_table:
run: python:latest python analysis/top_codes_table.py
needs: [generate_study_counts_bp, generate_study_counts_aaa]
outputs:
moderately_sensitive:
table: output/top_5_code_table_*.csv
generate_codelist_report:
run: >
cohortextractor:latest generate_codelist_report
--output-dir=output
--codelist-path=codelists/opensafely-systolic-blood-pressure-qof.csv
--start-date=2021-01-01
--end-date=2021-12-31
outputs:
moderately_sensitive:
table: output/counts_per_*.csv
list_sizes: output/list_sizes.csv
generate_measures:
run: python:latest python analysis/generate_measures.py
needs: [generate_codelist_report]
outputs:
moderately_sensitive:
measure: output/measure_counts_per_week_practice.csv
generate_deciles_charts:
run: >
deciles-charts:v0.0.15
--input-files output/measure_counts_per_week_practice.csv
--output-dir output
config:
show_outer_percentiles: false
tables:
output: true
charts:
output: true
needs: [generate_measures]
outputs:
moderately_sensitive:
deciles_charts: output/deciles_*_*.*
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 00:04:06
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job information
- Status
-
Failed
- Backend
- TPP
- Workspace
- test-interactive
- Requested by
- Louis Fisher
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 7e57c37
- Requested actions
-
-
generate_codelist_report
-
generate_measures
-
generate_deciles_charts
-
Code comparison
Compare the code used in this Job Request