Job request: 2711
- ID:
6am5eyoxqphcstth
- Workspace: mechanical-valve-anticoag-updated
This page shows the technical details of what happened when authorised researcher Louis Fisher requested one or more actions to be run against real patient data in the Mechanical Valve Anticoag project, within a secure environment.
By cross-referencing the indicated Requested Actions with the Pipeline section below, you can infer what
security level various outputs were written to. Outputs
marked as highly_sensitive
can never be viewed directly by a
researcher; they can only request that code runs against them. Outputs marked as moderately_sensitive
can be
viewed by an approved researcher by logging into a highly secure environment. Only outputs marked as
moderately_sensitive
can be requested for release to the public, via a controlled output review service.
Jobs
ID | Status | Action |
---|---|---|
db2aejmumy2vauu7 | failed | generate_study_population_ethnicity |
m5xrjltlkaicz2tb | failed | generate_study_population_1 |
7tt6vbxatedus3xj | failed | generate_study_population_2 |
dpo7fyhtfja4wkw6 | failed | generate_study_population_3 |
4ykjfz5vrngbwswd | failed | generate_study_population_4 |
sswo7i4g6wxo3ls2 | failed | join_ethnicity |
u3aqvx4j4sareidu | failed | patient_count |
fare3zud3lwn2qrt | failed | generate_measures |
7v44scr4yqvprdb5 | failed | generate_notebook |
Pipeline
Show Hide project.yaml
version: '3.0'
expectations:
population_size: 15000
actions:
generate_study_population_ethnicity:
run: cohortextractor:latest generate_cohort --study-definition study_definition_ethnicity --output-dir=output
outputs:
highly_sensitive:
cohort: output/input_ethnicity.csv
generate_study_population_1:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2018-09-01 to 2019-04-01 by month" --output-dir=output
outputs:
highly_sensitive:
cohort: output/input_*.csv
generate_study_population_2:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-05-01 to 2019-11-01 by month" --output-dir=output
outputs:
highly_sensitive:
cohort: output/input*.csv
generate_study_population_3:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-12-01 to 2020-06-01 by month" --output-dir=output
outputs:
highly_sensitive:
cohort: output/inpu*.csv
generate_study_population_4:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-07-01 to 2021-05-01 by month" --output-dir=output
outputs:
highly_sensitive:
cohort: output/inp*.csv
join_ethnicity:
run: python:latest python analysis/join_ethnicity.py
needs: [generate_study_population_1, generate_study_population_2, generate_study_population_3, generate_study_population_4, generate_study_population_ethnicity]
outputs:
highly_sensitive:
cohort: output/in*.csv
patient_count:
run: python:latest python analysis/get_patient_count.py
needs: [join_ethnicity]
outputs:
moderately_sensitive:
csv: output/patient_count.csv
generate_measures:
run: cohortextractor:latest generate_measures --study-definition study_definition --output-dir=output
needs: [join_ethnicity]
outputs:
moderately_sensitive:
measure_csv: output/measure_*_rate.csv
generate_notebook:
run: jupyter:latest jupyter nbconvert /workspace/analysis/notebook.ipynb --execute --to html --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
needs: [join_ethnicity, generate_measures]
outputs:
moderately_sensitive:
notebook: output/notebook.html
figures: output/measure_*.jpeg
total_csv: output/doac_rate_total.csv
csvs: output/current_doac_*.csv
State
State is inferred from the related Jobs.
Status: Failed
Timings
Timings set to UTC timezone.
- Created:
- Started:
- Finished:
- Runtime: 28:49:18
Config
-
- Backend:
-
EMIS
-
- Workspace:
- mechanical-valve-anticoag-updated
-
- Branch:
updates
-
- Creator:
- LFISHER7
-
- Force run dependencies:
- False
-
- Git Commit Hash:
- b0551d1
-
Requested actions:
generate_study_population_ethnicity
generate_study_population_1
generate_study_population_2
generate_study_population_3
generate_study_population_4
join_ethnicity
patient_count
generate_measures
generate_notebook