Job request: 15960

Organisation:: DataLab
Workspace:: opensafely-internal-interactive
ID:: 7twn55edg4j7zxp3

This page shows the technical details of what happened when authorised researcher Brian requested one or more actions to be run against real patient data in the 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

Action:

create_notebook_01GTHG50RDX713G7VRRF99S2DM

Status:

Status: Succeeded

Job identifier:

7ixqtoogkzihcen2
Action:

generate_study_population_01GTHG50RDX713G7VRRF99S2DM

Status:

Status: Succeeded

Job identifier:

bwboa3f364bg43vc
Action:

generate_study_population_ethnicity_01GTHG50RDX713G7VRRF99S2DM

Status:

Status: Succeeded

Job identifier:

wned2pov5ezeubdk
Action:

join_cohorts_01GTHG50RDX713G7VRRF99S2DM

Status:

Status: Succeeded

Job identifier:

meb6rzb4nudost46
Action:

event_counts_01GTHG50RDX713G7VRRF99S2DM

Status:

Status: Succeeded

Job identifier:

cqdddfcbn4a4wh2h
Action:

generate_measures_01GTHG50RDX713G7VRRF99S2DM

Status:

Status: Succeeded

Job identifier:

kmbrkshixdkimicw
Action:

top_5_table_01GTHG50RDX713G7VRRF99S2DM

Status:

Status: Succeeded

Job identifier:

5jfihgq7vaw7ukxm
Action:

deciles_chart_01GTHG50RDX713G7VRRF99S2DM

Status:

Status: Succeeded

Job identifier:

k36e2vm2yqk2cbye
Action:

plot_measure_01GTHG50RDX713G7VRRF99S2DM

Status:

Status: Succeeded

Job identifier:

v6djszosz6ispafv
Action:

generate_notebook_01GTHG50RDX713G7VRRF99S2DM

Status:

Status: Succeeded

Job identifier:

4gdfyol5neagilti

Pipeline

Show project.yaml

version: '3.0'

expectations:
  population_size: 1000

actions:

  generate_study_population_ethnicity_01GTHG50RDX713G7VRRF99S2DM:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition_ethnicity
      --param end_date="2023-02-22"
      --output-dir output/01GTHG50RDX713G7VRRF99S2DM --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/01GTHG50RDX713G7VRRF99S2DM/input_ethnicity.csv.gz


  generate_study_population_01GTHG50RDX713G7VRRF99S2DM:
    run: cohortextractor:latest generate_cohort
      --study-definition study_definition
      --param codelist_1_path="codelists/codelist_1.csv"
      --param codelist_1_type="event"
      --param codelist_2_path="codelists/codelist_2.csv"
      --param codelist_2_type="medication"
      --param codelist_1_frequency="monthly"
      --param time_value="1"
      --param time_scale="years"
      --param time_event="before"
      --param codelist_2_comparison_date="event_1_date"
      --param operator="AND"
      --param population="all"
      --param breakdowns="sex"
      --index-date-range="2022-08-26 to 2023-02-22 by month"
      --output-dir=output/01GTHG50RDX713G7VRRF99S2DM
      --output-format=csv.gz
    outputs:
      highly_sensitive:
        cohort: output/01GTHG50RDX713G7VRRF99S2DM/input_*.csv.gz

  join_cohorts_01GTHG50RDX713G7VRRF99S2DM:
    run: >
      cohort-joiner:v0.0.38
        --lhs output/01GTHG50RDX713G7VRRF99S2DM/input_20*.csv.gz
        --rhs output/01GTHG50RDX713G7VRRF99S2DM/input_ethnicity.csv.gz
        --output-dir output/01GTHG50RDX713G7VRRF99S2DM/joined
    needs: [generate_study_population_01GTHG50RDX713G7VRRF99S2DM, generate_study_population_ethnicity_01GTHG50RDX713G7VRRF99S2DM]
    outputs:
      highly_sensitive:
        cohort: output/01GTHG50RDX713G7VRRF99S2DM/joined/input_20*.csv.gz

  generate_measures_01GTHG50RDX713G7VRRF99S2DM:
    run: >
      python:latest python analysis/measures.py
        --breakdowns="sex"
        --input_dir="output/01GTHG50RDX713G7VRRF99S2DM/joined"
        --measure="med_review"

    needs: [join_cohorts_01GTHG50RDX713G7VRRF99S2DM]
    outputs:
      moderately_sensitive:
        measure: output/01GTHG50RDX713G7VRRF99S2DM/joined/measure*rate.csv
        decile_measure: output/01GTHG50RDX713G7VRRF99S2DM/joined/measure*rate_deciles.csv

  top_5_table_01GTHG50RDX713G7VRRF99S2DM:
    run: >
      python:latest python analysis/top_5.py
      --codelist-1-path="codelists/codelist_1.csv"
      --codelist-2-path="codelists/codelist_2.csv"
      --output-dir="output/01GTHG50RDX713G7VRRF99S2DM"
    needs: [generate_measures_01GTHG50RDX713G7VRRF99S2DM]
    outputs:
      moderately_sensitive:
        tables: output/01GTHG50RDX713G7VRRF99S2DM/joined/top_5*.csv

  deciles_chart_01GTHG50RDX713G7VRRF99S2DM:
    run: >
      deciles-charts:v0.0.33
        --input-files output/01GTHG50RDX713G7VRRF99S2DM/joined/measure_practice_rate_deciles.csv
        --output-dir output/01GTHG50RDX713G7VRRF99S2DM/joined
    config:
      show_outer_percentiles: true
      tables:
        output: true
      charts:
        output: true
    needs: [generate_measures_01GTHG50RDX713G7VRRF99S2DM]
    outputs:
      moderately_sensitive:
        deciles_charts: output/01GTHG50RDX713G7VRRF99S2DM/joined/deciles_*.*

  plot_measure_01GTHG50RDX713G7VRRF99S2DM:
    run: >
      python:latest python analysis/plot_measures.py
        --breakdowns="sex"
        --output-dir output/01GTHG50RDX713G7VRRF99S2DM
    needs: [generate_measures_01GTHG50RDX713G7VRRF99S2DM]
    outputs:
      moderately_sensitive:
        measure: output/01GTHG50RDX713G7VRRF99S2DM/plot_measure*.png

  event_counts_01GTHG50RDX713G7VRRF99S2DM:
    run: >
      python:latest python analysis/event_counts.py --input_dir="output/01GTHG50RDX713G7VRRF99S2DM/joined" --output_dir="output/01GTHG50RDX713G7VRRF99S2DM"
    needs: [join_cohorts_01GTHG50RDX713G7VRRF99S2DM]
    outputs:
      moderately_sensitive:
        measure: output/01GTHG50RDX713G7VRRF99S2DM/event_counts.json

  create_notebook_01GTHG50RDX713G7VRRF99S2DM:
    run: >
      python:latest python analysis/create_notebook.py
      --output-dir "output/01GTHG50RDX713G7VRRF99S2DM"
      --codelist-1-description="None"
      --codelist-2-description="None"
      --codelist-1-link="https://codelists.opensafely.org/codelist/pincer/ast/v1.8"
      --codelist-2-link="https://codelists.opensafely.org/codelist/opensafely/ace-inhibitor-medications/2020-05-19"
      --report-title="Asthma & ACE Inhibitor Medications"
      --measure-description="Medication Review"
      --population="all"
      --breakdowns="sex"
    outputs:
      moderately_sensitive:
        notebook: output/01GTHG50RDX713G7VRRF99S2DM/report.ipynb

  generate_notebook_01GTHG50RDX713G7VRRF99S2DM:
    run: jupyter:latest jupyter nbconvert /workspace/output/01GTHG50RDX713G7VRRF99S2DM/report.ipynb --execute --to html --output-dir=/workspace/output/01GTHG50RDX713G7VRRF99S2DM --ExecutePreprocessor.timeout=86400 --no-input
    needs: [create_notebook_01GTHG50RDX713G7VRRF99S2DM, event_counts_01GTHG50RDX713G7VRRF99S2DM, deciles_chart_01GTHG50RDX713G7VRRF99S2DM, top_5_table_01GTHG50RDX713G7VRRF99S2DM, plot_measure_01GTHG50RDX713G7VRRF99S2DM]
    outputs:
      moderately_sensitive:
        notebook: output/01GTHG50RDX713G7VRRF99S2DM/report.html

Timeline

Created: 6 months, 3 weeks ago 02 Mar 2023 15:48:20 UTC
Started: 6 months, 3 weeks ago 02 Mar 2023 16:15:30 UTC
Finished: 6 months, 3 weeks ago 03 Mar 2023 04:45:43 UTC
Runtime: 13:17:46

These timestamps are generated and stored using the UTC timezone on the TPP backend.

Job information

Status: Succeeded
Backend: TPP
Workspace: opensafely-internal-interactive
Requested by: Brian
Branch: main
Force run dependencies: Yes
Git commit hash: f27c3d0
Requested actions: run_all