Job request: 13778
- Organisation:
- Bennett Institute
- Workspace:
- tpp-vaccination-names
- ID:
- aneob5uq2544sqai
This page shows the technical details of what happened when the authorised researcher Becky Smith 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:
-
nk32ibxtmckvqlna
-
- Job identifier:
-
54ua6vjdtsdfaq6j
Pipeline
Show project.yaml
version: "3.0"
expectations:
population_size: 1000
actions:
extract_vaccination_names:
run: >
sqlrunner:latest
--output output/vaccination_names.csv
analysis/extract_vaccination_names.sql
outputs:
moderately_sensitive:
rows: output/vaccination_names.csv
vaccination_names_html:
needs: [extract_vaccination_names]
run: >
python:latest
jupyter nbconvert analysis/vaccination_names.ipynb
--execute
--to html
--no-input
--output-dir=/workspace/output
--ExecutePreprocessor.timeout=86400
outputs:
moderately_sensitive:
html: output/vaccination_names.html
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 00:00:34
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
-
Succeeded
- Backend
- TPP
- Workspace
- tpp-vaccination-names
- Requested by
- Becky Smith
- Branch
- main
- Force run dependencies
- No
- Git commit hash
- 4c5aaa3
- Requested actions
-
-
run_all
-
Code comparison
Compare the code used in this job request
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