Job request: 12644
- Organisation:
- The London School of Hygiene & Tropical Medicine
- Workspace:
- cis-pop-validation-ehrql-dev
- ID:
- xwryb73betbes6tz
This page shows the technical details of what happened when the authorised researcher Milan Wiedemann 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:
-
rj7azcamtwgysx32 - Error:
- internal_error: Internal error: this usually means a platform issue rather than a problem for users to fix. The tech team are automatically notified of these errors and will be investigating.
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 1000
actions:
generate_dataset:
# The final line of arguments are workarounds for the fact that we don't
# have dummy data working yet, so don't worry about exactly what they're
# doing.
run: databuilder:v0
generate-dataset analysis/dataset_definition.py --output output/dataset.csv
--dsn dummy_data --query-engine csv --backend databuilder.backends.base.DefaultBackend
outputs:
highly_sensitive:
cohort: output/dataset.csv
Timeline
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Created:
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Finished:
-
Runtime:
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
-
Failed
- Backend
- TPP
- Workspace
- cis-pop-validation-ehrql-dev
- Requested by
- Milan Wiedemann
- Branch
- dev
- Force run dependencies
- No
- Git commit hash
- c9a6197
- Requested actions
-
-
generate_dataset
-
Code comparison
Compare the code used in this job request
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