Job request: 10465
- Organisation:
- Bennett Institute
- Workspace:
- covid-vaccine-preliminary-study-master
- ID:
- 6bkx7zvq4uwye2x7
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.
Jobs
-
- Job identifier:
-
jstrkswsqbwlr4uu - Error:
- cancelled_by_user: Cancelled by user
-
- Job identifier:
-
3hrwef56fyg5t5pq - Error:
- dependency_failed: Not starting as dependency failed
-
- Job identifier:
-
zyji3j52ycf3bnou - Error:
- dependency_failed: Not starting as dependency failed
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- Job identifier:
-
x2yn6mqlrnfdfaq5 - Error:
- dependency_failed: Not starting as dependency failed
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/*
debug: 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:
-
Started:
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Finished:
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Runtime: 00:00:38
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
-
Failed
- Backend
- TPP
- Workspace
- covid-vaccine-preliminary-study-master
- Requested by
- Lisa Hopcroft
- Branch
- master
- Force run dependencies
- No
- Git commit hash
- c741cea
- Requested actions
-
-
generate_u16_cohort -
generate_u16_notebook -
generate_u16_simple_report -
generate_u16_report_second_doses
-
Code comparison
Compare the code used in this job request