Job request: 4588
- Organisation:
- Bennett Institute
- Workspace:
- sro-measures-emis
- ID:
- umiyg7siayingqno
This page shows the technical details of what happened when the authorised researcher Louis Fisher requested one or more actions to be run against real patient data in the project, within a secure environment.
By cross-referencing the list of jobs with the
pipeline section below, you can infer what
security level
various outputs were written to. Researchers can never directly
view outputs marked as
highly_sensitive
;
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
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- Job identifier:
-
6xaqkifll2sjsfkq
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- Job identifier:
-
kghuvdrguxdxy47c
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- Job identifier:
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cjgmi33wa6yczvdx
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- Job identifier:
-
7g6w3e7n5chccsfh
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- Job identifier:
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4co3vimru4ihlbhw
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- Job identifier:
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lhp6k7p65qqpcoau
Pipeline
Show project.yaml
version: '3.0'
expectations:
population_size: 1000
actions:
generate_study_population_1:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-01-01 to 2019-12-01 by month" --output-dir=output --output-format=feather
outputs:
highly_sensitive:
cohort: output/input_*.feather
generate_study_population_2:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2020-01-01 to 2020-12-01 by month" --output-dir=output --output-format=feather
outputs:
highly_sensitive:
cohort: output/input*.feather
generate_study_population_3:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2021-01-01 to 2021-06-01 by month" --output-dir=output --output-format=feather
outputs:
highly_sensitive:
cohort: output/inpu*.feather
get_patient_count:
run: python:latest python analysis/get_patients_counts.py
needs: [generate_study_population_1, generate_study_population_2, generate_study_population_3]
outputs:
moderately_sensitive:
text: output/patient_count.json
generate_study_population_ethnicity:
run: cohortextractor:latest generate_cohort --study-definition study_definition_ethnicity --output-dir=output --output-format=feather
outputs:
highly_sensitive:
cohort: output/input_ethnicity.feather
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_ethnicity]
outputs:
highly_sensitive:
cohort: output/inp*.feather
get_practice_count:
run: python:latest python analysis/get_practice_count.py
needs: [join_ethnicity]
outputs:
moderately_sensitive:
text: output/practice_count.json
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_measures_cleaned:
run: python:latest python analysis/clean_measures.py
needs: [generate_measures]
outputs:
moderately_sensitive:
measure_csv: output/measure_cleaned_*.csv
generate_measures_demographics:
run: python:latest python analysis/calculate_measures.py
needs: [join_ethnicity]
outputs:
moderately_sensitive:
measure: output/combined_measure_*.csv
generate_notebook:
run: jupyter:latest jupyter nbconvert /workspace/analysis/sentinel_measures.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
needs: [generate_measures, get_practice_count, get_patient_count]
outputs:
moderately_sensitive:
notebook: output/sentinel_measures.html
subplots: output/sentinel_measures_subplots.png
generate_notebook_demographics:
run: jupyter:latest jupyter nbconvert /workspace/analysis/sentinel_measures_demographics.ipynb --execute --to html --template basic --output-dir=/workspace/output --ExecutePreprocessor.timeout=86400 --no-input
needs: [generate_measures, generate_measures_demographics]
outputs:
moderately_sensitive:
notebook: output/sentinel_measures_demographics.html
get_population_count:
run: python:latest python analysis/population_counts.py
needs: [join_ethnicity]
outputs:
moderately_sensitive:
text: output/*_count.csv
demographic_changes:
run: python:latest python analysis/demographic_change.py
needs: [generate_measures_demographics]
outputs:
moderately_sensitive:
csv: output/demographics_differences.csv
csv_sorted: output/demographics_differences_sorted.csv
# run_tests:
# run: python:latest python -m pytest --junit-xml=output/pytest.xml --verbose
# outputs:
# moderately_sensitive:
# log: output/pytest.xml
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 01:59:49
These timestamps are generated and stored using the UTC timezone on the EMIS backend.
Job information
- Status
-
Succeeded
- Backend
- EMIS
- Workspace
- sro-measures-emis
- Requested by
- Louis Fisher
- Branch
- emis
- Force run dependencies
- No
- Git commit hash
- 6f26ad7
- Requested actions
-
-
get_patient_count
-
generate_study_population_ethnicity
-
join_ethnicity
-
generate_measures
-
generate_measures_cleaned
-
generate_measures_demographics
-
Code comparison
Compare the code used in this Job Request