Job request: 6207
- Organisation:
- Bennett Institute
- Workspace:
- mabs-sus
- ID:
- oiwozj3lvt3bq654
This page shows the technical details of what happened when the authorised researcher Helen Curtis 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:
-
jgnm4u7rqkb7m4uf
-
- Job identifier:
-
fznar27rei2kevjq
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 1000
actions:
generate_population:
run: cohortextractor:latest generate_cohort --study-definition study_definition --output-format 'feather'
outputs:
highly_sensitive:
cohort: output/input.feather
generate_report:
run: cohort-report:v3.0.0 output/input.feather
needs: [generate_population]
config:
output_path: output/cohort_reports_outputs
outputs:
moderately_sensitive:
reports: output/cohort_reports_outputs/descriptives_input.html
# note not possible to execute and save notebook in a single action with `--execute --to notebook` because of self-dependency
# still possible to execute and save to html or md file
# characteristics_html:
# run: jupyter:latest jupyter nbconvert /workspace/notebooks/database-patient-characteristics.ipynb --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400
# needs: [generate_population]
# outputs:
# moderately_sensitive:
# html: output/database-patient-characteristics.html
# database_builds_html:
# run: jupyter:latest jupyter nbconvert /workspace/notebooks/database-builds.ipynb --execute --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400
# outputs:
# moderately_sensitive:
# html: output/database-builds.html
# database_schema_html:
# run: jupyter:latest jupyter nbconvert /workspace/notebooks/database-schema.ipynb --execute --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400
# outputs:
# moderately_sensitive:
# html: output/database-schema.html
# characteristics_md:
# run: jupyter:latest jupyter nbconvert /workspace/notebooks/database-patient-characteristics.ipynb --execute --to markdown --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400
# outputs:
# moderately_sensitive:
# md: output/database-patient-characteristics.md
# database_builds_md:
# run: jupyter:latest jupyter nbconvert /workspace/notebooks/database-builds.ipynb --execute --to markdown --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400
# outputs:
# moderately_sensitive:
# md: output/database-builds.md
# png: output/database-builds_files/*.png
# database_schema_md:
# run: jupyter:latest jupyter nbconvert /workspace/notebooks/database-schema.ipynb --execute --to markdown --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400
# outputs:
# moderately_sensitive:
# md: output/database-schema.md
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 02:42:19
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Code comparison
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