Job request: 25261
- Organisation:
- Bennett Institute
- Workspace:
- pharmacy-first-report
- ID:
- o73qklxlhulcjz4h
This page shows the technical details of what happened when the authorised researcher Viveck Kingsley 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:
-
mrdlbikik4fwl75a
-
- Job identifier:
-
bi4ioafqrkomnyor
-
- Job identifier:
-
x4vijhmepya4lzhm
-
- Job identifier:
-
ndqdss27qdigh7ue
-
- Job identifier:
-
mryimbdjai7jpfjc
-
- Job identifier:
-
3pf3id2avncr2ffl
-
- Job identifier:
-
pctay4mn5d6s34lj
Pipeline
Show project.yaml
version: "3.0"
# Ignore this`expectation` block. It is required but not used, and will be removed in future versions.
expectations:
population_size: 1000
actions:
generate_dataset_definition_tables:
run: >
ehrql:v1
generate-dataset analysis/dataset_definition_tables.py
--test-data-file analysis/test_dataset_definition_tables.py
--dummy-data-file dummy_data/pf_tables_dataset.csv
--output output/population/pf_tables.csv.gz
outputs:
highly_sensitive:
cohort: output/population/pf_tables.csv.gz
create_tables:
run: r:v2 analysis/create_tables.R
needs: [generate_dataset_definition_tables]
outputs:
moderately_sensitive:
dataset: output/population/pf_tables.csv
generate_pf_statistics_measures:
run: >
ehrql:v1 generate-measures analysis/measures_definition_pf_descriptive_stats.py
--dummy-tables dummy_tables
--output output/measures/pf_descriptive_stats_measures.csv
outputs:
moderately_sensitive:
measure: output/measures/pf_descriptive_stats_measures.csv
generate_pf_breakdown_measures:
run: >
ehrql:v1 generate-measures analysis/measures_definition_pf_breakdown.py
--output output/measures/pf_breakdown_measures.csv
outputs:
moderately_sensitive:
measure: output/measures/pf_breakdown_measures.csv
generate_pf_med_counts_measures:
run: >
ehrql:v1 generate-measures analysis/measures_definition_pf_med_counts.py
--dummy-tables dummy_tables
--output output/measures/pf_medications_measures.csv
outputs:
moderately_sensitive:
measure: output/measures/pf_medications_measures.csv
tidy_med_measures:
run: r:latest analysis/tidy_measures_med_counts.R
needs: [generate_pf_med_counts_measures]
outputs:
moderately_sensitive:
measure_pf_meds: output/measures/pf_medications_measures_tidy.csv
generate_pf_opensafely_report:
run: >
r:v2 -e 'rmarkdown::render(
"reports/pharmacy_first_report.Rmd",
knit_root_dir = "/workspace",
output_dir = "/workspace/output/report"
)'
needs:
- generate_dataset_definition_tables
- create_tables
- generate_pf_statistics_measures
- generate_pf_breakdown_measures
- generate_pf_med_counts_measures
- tidy_med_measures
outputs:
moderately_sensitive:
html: output/report/pharmacy_first_report.html
pf_demographics: output/report/data/df_demographics_table.csv
pf_breakdowns: output/report/data/df_measures.csv
pf_clinical_conditions: output/report/data/df_clinical_pathways_by_sex.csv
pf_med_counts: output/report/data/df_pf_and_non_pf_med_counts.csv
pf_consultations: output/report/data/df_pf_consultations.csv
pf_descriptive_stats: output/report/data/df_pf_descriptive_stats.csv
pf_counts: output/report/figures/figure1.png
pf_by_sex: output/report/figures/figure2sex.png
pf_by_age: output/report/figures/figure3age.png
pf_by_imd: output/report/figures/figure4imd.png
pf_by_region: output/report/figures/figure5region.png
pf_by_ethnicity: output/report/figures/figure6ethnicity.png
pf_completeness: output/report/figures/figure7.png
generate_pf_opensafely_monthly_report:
run: >
r:v2 -e 'rmarkdown::render(
"reports/pharmacy_first_monthly_report.Rmd",
knit_root_dir = "/workspace",
output_dir = "/workspace/output/report"
)'
needs:
- create_tables
- generate_pf_statistics_measures
- generate_pf_breakdown_measures
- generate_pf_med_counts_measures
- tidy_med_measures
outputs:
moderately_sensitive:
html: output/report/pharmacy_first_monthly_report.html
pf_breakdowns: output/report/data/df_measures_updated.csv
pf_med_counts: output/report/data/df_pf_and_non_pf_med_counts_updated.csv
pf_consultations: output/report/data/df_pf_consultations_updated.csv
pf_descriptive_stats: output/report/data/df_pf_descriptive_stats_updated.csv
pf_counts: output/report/figures/figure1_updated.png
pf_by_sex: output/report/figures/figure2sex_updated.png
pf_by_age: output/report/figures/figure3age_updated.png
pf_by_imd: output/report/figures/figure4imd_updated.png
pf_by_region: output/report/figures/figure5region_updated.png
pf_by_ethnicity: output/report/figures/figure6ethnicity_updated.png
pf_completeness: output/report/figures/figure7_updated.png
pf_clinical_conditions: output/report/figures/figure8clinicalpathways_updated.png
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 03:32:53
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- pharmacy-first-report
- Requested by
- Viveck Kingsley
- Branch
- main
- Force run dependencies
- Yes
- Git commit hash
- d29739c
- Requested actions
-
-
generate_pf_opensafely_monthly_report
-
Code comparison
Compare the code used in this job request