Job request: 9379
- Organisation:
- Bennett Institute
- Workspace:
- covid-vaccine-preliminary-study-master
- ID:
- 6pbuepwwbmkpyxqf
This page shows the technical details of what happened when the authorised researcher Lisa Hopcroft 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.
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 100000
# dummy population size must be at least 50000 to ensure the STP analysis can run successfully
actions:
### NB. THIS NEED ONLY BE RUN WHEN WE WANT TO REGENERATE COVERAGE STATISTICS
generate_whole_cohort_to_calculate_coverage:
run: cohortextractor:latest generate_cohort --study-definition study_definition_ALL --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input_ALL.csv.gz
calculate_stp_coverage:
run: python:latest lib/calculate_stp_coverage.py
needs: [generate_whole_cohort_to_calculate_coverage]
outputs:
moderately_sensitive:
coverage_calculation: lib/stp_tpp-coverage_total.csv
# generate_delivery_cohort:
# run: cohortextractor:latest generate_cohort --study-definition study_definition_delivery --output-format=csv.gz
# outputs:
# highly_sensitive:
# cohort: output/input_delivery.csv.gz
# generate_notebook:
# run: jupyter:latest jupyter nbconvert /workspace/notebooks/population_characteristics.ipynb --execute --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --debug
# needs: [calculate_stp_coverage, generate_delivery_cohort]
# outputs:
# moderately_sensitive:
# notebook: output/population_characteristics.html
# ### first, second, third/booster doses
# figures: interim-outputs/figures/*
# tables: interim-outputs/tables/*
# # stp_tables: interim-outputs/stp/tables/*.csv
# fig_csvs_1: output/machine_readable_outputs/figure_csvs/*ethnicity*.csv
# fig_csvs_2: output/machine_readable_outputs/figure_csvs/*imd*.csv
# fig_csvs_3: output/machine_readable_outputs/figure_csvs/*psychosis*.csv
# fig_csvs_4: output/machine_readable_outputs/figure_csvs/*LD_*.csv
# fig_csvs_5: output/machine_readable_outputs/figure_csvs/*eligible*.csv
# text: interim-outputs/text/*
# generate_simple_report:
# run: jupyter:latest env IMAGE_FORMAT=png jupyter nbconvert /workspace/notebooks/opensafely_vaccine_report_overall.ipynb --execute --to html --template basic --output=/workspace/output/opensafely_vaccine_report_overall_simple.html --ExecutePreprocessor.timeout=86400 --no-input
# needs: [generate_delivery_cohort, generate_notebook]
# outputs:
# moderately_sensitive:
# notebook: output/opensafely_vaccine_report_overall_simple.html
# csvs: output/machine_readable_outputs/table_csvs/*
# generate_report_second_doses:
# run: jupyter:latest jupyter nbconvert /workspace/notebooks/second_doses.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
# needs: [generate_notebook]
# outputs:
# moderately_sensitive:
# notebook: output/second_doses.html
# tables: output/machine_readable_outputs/second_doses/*.csv
# generate_report_third_doses:
# run: jupyter:latest jupyter nbconvert /workspace/notebooks/booster-third-doses.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
# needs: [generate_notebook]
# outputs:
# moderately_sensitive:
# notebook: output/booster-third-doses.html
# tables: output/machine_readable_outputs/third_doses/*.csv
# generate_u16_cohort:
# run: cohortextractor:latest generate_cohort --study-definition study_definition_delivery_u16 --output-format=csv.gz
# outputs:
# highly_sensitive:
# cohort: output/input_delivery_u16.csv.gz
# generate_u16_notebook:
# run: jupyter:latest jupyter nbconvert /workspace/notebooks/population_characteristics_u16.ipynb --execute --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --debug
# needs: [calculate_stp_coverage, generate_u16_cohort]
# outputs:
# moderately_sensitive:
# notebook: output/population_characteristics_u16.html
# figures: interim-outputs/u16/figures/*
# tables: interim-outputs/u16/tables/*
# fig_csvs: output/machine_readable_outputs/figure_csvs/*_u16*.csv
# text: interim-outputs/u16/text/*
# generate_u16_simple_report:
# run: jupyter:latest env IMAGE_FORMAT=png jupyter nbconvert /workspace/notebooks/first_dose_u16.ipynb --execute --to html --template basic --output=/workspace/output/first_dose_u16.html --ExecutePreprocessor.timeout=86400 --no-input
# needs: [generate_u16_cohort, generate_u16_notebook]
# outputs:
# moderately_sensitive:
# notebook: output/first_dose_u16.html
# csvs: output/machine_readable_outputs/table_csvs/*_u16*.csv
# generate_u16_report_second_doses:
# run: jupyter:latest jupyter nbconvert /workspace/notebooks/second_doses_u16.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
# needs: [generate_u16_notebook]
# outputs:
# moderately_sensitive:
# notebook: output/second_doses_u16.html
# tables: output/machine_readable_outputs/second_doses/*_u16*.csv
# # generate_u16_report_third_doses:
# # run: jupyter:latest jupyter nbconvert /workspace/notebooks/booster-third-doses_u16.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
# # needs: [generate_u16_notebook]
# # outputs:
# # moderately_sensitive:
# # notebook: output/booster-third-doses_u16.html
# # tables: output/machine_readable_outputs/third_doses/*_u16*.csv
generate_booster_cohort:
run: cohortextractor:latest generate_cohort --study-definition study_definition_delivery_boosters --output-format=csv.gz
outputs:
highly_sensitive:
cohort: output/input_delivery_boosters.csv.gz
generate_booster_notebook:
run: jupyter:latest jupyter nbconvert /workspace/notebooks/population_characteristics_boosters.ipynb --execute --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --debug
needs: [calculate_stp_coverage, generate_booster_cohort]
outputs:
moderately_sensitive:
# notebook: output/population_characteristics_boosters.html
# figures_boosters: interim-outputs/spring_boosters/figures/*
# tables_boosters: interim-outputs/spring_boosters/tables/*
# fig_csvs_boosters: output/machine_readable_outputs/figure_csvs/*_spring_boosters*.csv
# text_boosters: interim-outputs/spring_boosters/text/*
test_pickles: interim-outputs/TEST_*.pickle
test_csvs: interim-outputs/TEST_*.csv
debug_booster_data:
run: python:latest lib/debug_booster_data.py
needs: [generate_booster_notebook]
outputs:
moderately_sensitive:
coverage_calculation: interim-outputs/debug.txt
# generate_spring_booster_report:
# run: jupyter:latest jupyter nbconvert /workspace/notebooks/spring-boosters.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
# needs: [generate_booster_notebook]
# outputs:
# moderately_sensitive:
# notebook: output/spring-boosters.html
# tables: output/machine_readable_outputs/spring_boosters/* spring booster *.csv
Timeline
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Created:
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Started:
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Finished:
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Runtime:
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
-
Failed
GitError: Error fetching commit 3dfc3bdf2f5d7b80ac845df5c9e81d693e35349e from https://github.com/opensafely/covid-vaccine-preliminary-study
- Backend
- TPP
- Workspace
- covid-vaccine-preliminary-study-master
- Requested by
- Lisa Hopcroft
- Branch
- master
- Force run dependencies
- No
- Git commit hash
- 3dfc3bd
- Requested actions
-
-
debug_booster_data
-
Code comparison
Compare the code used in this job request