Job request: 2539
- Organisation:
- Workspace:
- antipsychotics-prescribing-during-covid-19-master
- ID:
- ztny47wfiyku5i5a
This page shows the technical details of what happened when the authorised researcher Millie Green 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:
-
djvb2i26mb53oeen
-
- Job identifier:
-
5vmshm37hb7mudt3
-
- Job identifier:
-
icjxoj37hu4g7o4v
-
- Job identifier:
-
c3ut4wmyj7uwdh5g
-
- Job identifier:
-
yogerwr4elzqiugo
Pipeline
Show project.yaml
######################################
# This script defines the project pipeline - it specifys the execution orders for all the code in this
# repo using a series of actions.
######################################
version: '3.0'
expectations:
population_size: 100000
actions:
# Extract data ----
## Cohort data
extract_data:
run: cohortextractor:latest generate_cohort --study-definition study_definition --index-date-range "2019-01-01 to 2021-04-01 by month" --output-dir=output/data --output-format=feather
outputs:
highly_sensitive:
cohort: output/data/input_*.feather
## Ethnicity
extract_ethnicity:
run: cohortextractor:latest generate_cohort --study-definition study_definition_ethnicity --output-dir=output/data --output-format=feather
outputs:
highly_sensitive:
cohort: output/data/input_ethnicity.feather
# ## Patient to practice lookup
# patient_practice_lookup:
# run: cohortextractor:latest generate_cohort --study-definition study_definition_practice_count --output-dir=output/data --output-format=feather
# outputs:
# highly_sensitive:
# cohort: output/data/input_practice_count.feather
# Data processing ----
# ## Patient counts
# get_patient_count:
# run: python:latest python analysis/get_patient_counts.py --output-dir=output/data
# needs: [extract_data]
# outputs:
# moderately_sensitive:
# text: output/data/patient_count.json
# ## Practice count
# get_practice_count:
# run: python:latest python analysis/get_practice_count.py --output-dir=output/data
# needs: [patient_practice_lookup]
# outputs:
# moderately_sensitive:
# text: output/data/practice_count.json
## Add ethnicity
join_ethnicity:
run: python:latest python analysis/join_ethnicity.py
needs: [extract_data, extract_ethnicity]
outputs:
highly_sensitive:
cohort: output/data/input*.feather
## Process data
data_process:
run: r:latest analysis/process_data.R
needs: [extract_ethnicity, join_ethnicity]
outputs:
moderately_sensitive:
data: output/data/data_*.rds
tables: output/data/custom_measures_*.csv
# ## Generate measures
# generate_measures:
# run: cohortextractor:latest generate_measures --study-definition study_definition --output-dir=output/data
# needs: [join_ethnicity]
# outputs:
# moderately_sensitive:
# measure_csv: output/data/measure_*.csv
# ### Generate measures, by group
# generate_measures_demographics:
# run: python:latest python analysis/calculate_measures.py
# needs: [join_ethnicity]
# outputs:
# moderately_sensitive:
# measure: output/combined_measure_*.csv
#
# ### Generate measures, by group and demographic
# generate_measures_demographics:
# run: python:latest python analysis/calculate_measures.py
# needs: [join_ethnicity]
# outputs:
# moderately_sensitive:
# measure: output/combined_measure_*.csv
# Results ----
## Figures
summary_figures:
run: r:latest analysis/summary_plots.R
needs: [data_process]
outputs:
moderately_sensitive:
plots: output/figures/plot_*.svg
summary_figures_redacted:
run: r:latest analysis/summary_plots_redacted.R
needs: [data_process]
outputs:
moderately_sensitive:
plots: output/figures/plot*.svg
## Table 1
table_1:
run: r:latest analysis/table_1.R
needs: [join_ethnicity]
outputs:
moderately_sensitive:
plots: output/tables/table1.html
# ## Whole population notebook
# generate_notebook:
# run: jupyter:latest jupyter nbconvert /workspace/notebooks/antipsychotic_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/antipsychotic_measures.html
Timeline
-
Created:
-
Started:
-
Finished:
-
Runtime: 20:33:24
These timestamps are generated and stored using the UTC timezone on the TPP backend.
Job request
- Status
-
Succeeded
- Backend
- TPP
- Requested by
- Millie Green
- Branch
- master
- Force run dependencies
- No
- Git commit hash
- df5b0d9
- Requested actions
-
-
extract_data -
extract_ethnicity -
join_ethnicity -
data_process -
summary_figures
-
Code comparison
Compare the code used in this job request